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Sample records for cancer gene expression

  1. Gene expression in colorectal cancer

    DEFF Research Database (Denmark)

    Birkenkamp-Demtroder, Karin; Christensen, Lise Lotte; Olesen, Sanne Harder

    2002-01-01

    Understanding molecular alterations in colorectal cancer (CRC) is needed to define new biomarkers and treatment targets. We used oligonucleotide microarrays to monitor gene expression of about 6,800 known genes and 35,000 expressed sequence tags (ESTs) on five pools (four to six samples in each p...... with a high frequency of loss of heterozygosity. The genes and ESTs presented in this study encode new potential tumor markers as well as potential novel therapeutic targets for prevention or therapy of CRC.......Understanding molecular alterations in colorectal cancer (CRC) is needed to define new biomarkers and treatment targets. We used oligonucleotide microarrays to monitor gene expression of about 6,800 known genes and 35,000 expressed sequence tags (ESTs) on five pools (four to six samples in each...... pool) of total RNA from left-sided sporadic colorectal carcinomas. We compared normal tissue to carcinoma tissue from Dukes' stages A-D (noninvasive to distant metastasis) and identified 908 known genes and 4,155 ESTs that changed remarkably from normal to tumor tissue. Based on intensive filtering 226...

  2. Expression of polarity genes in human cancer.

    Science.gov (United States)

    Lin, Wan-Hsin; Asmann, Yan W; Anastasiadis, Panos Z

    2015-01-01

    Polarity protein complexes are crucial for epithelial apical-basal polarity and directed cell migration. Since alterations of these processes are common in cancer, polarity proteins have been proposed to function as tumor suppressors or oncogenic promoters. Here, we review the current understanding of polarity protein functions in epithelial homeostasis, as well as tumor formation and progression. As most previous studies focused on the function of single polarity proteins in simplified model systems, we used a genomics approach to systematically examine and identify the expression profiles of polarity genes in human cancer. The expression profiles of polarity genes were distinct in different human tissues and classified cancer types. Additionally, polarity expression profiles correlated with disease progression and aggressiveness, as well as with identified cancer types, where specific polarity genes were commonly altered. In the case of Scribble, gene expression analysis indicated its common amplification and upregulation in human cancer, suggesting a tumor promoting function.

  3. Topological features in cancer gene expression data.

    Science.gov (United States)

    Lockwood, S; Krishnamoorthy, B

    2015-01-01

    We present a new method for exploring cancer gene expression data based on tools from algebraic topology. Our method selects a small relevant subset from tens of thousands of genes while simultaneously identifying nontrivial higher order topological features, i.e., holes, in the data. We first circumvent the problem of high dimensionality by dualizing the data, i.e., by studying genes as points in the sample space. Then we select a small subset of the genes as landmarks to construct topological structures that capture persistent, i.e., topologically significant, features of the data set in its first homology group. Furthermore, we demonstrate that many members of these loops have been implicated for cancer biogenesis in scientific literature. We illustrate our method on five different data sets belonging to brain, breast, leukemia, and ovarian cancers.

  4. Gene expression profiles in irradiated cancer cells

    Science.gov (United States)

    Minafra, L.; Bravatà, V.; Russo, G.; Ripamonti, M.; Gilardi, M. C.

    2013-07-01

    Knowledge of the molecular and genetic mechanisms underlying cellular response to radiation may provide new avenues to develop innovative predictive tests of radiosensitivity of tumours and normal tissues and to improve individual therapy. Nowadays very few studies describe molecular changes induced by hadrontherapy treatments, therefore this field has to be explored and clarified. High-throughput methodologies, such as DNA microarray, allow us to analyse mRNA expression of thousands of genes simultaneously in order to discover new genes and pathways as targets of response to hadrontherapy. Our aim is to elucidate the molecular networks involved in the sensitivity/resistance of cancer cell lines subjected to hadrontherapy treatments with a genomewide approach by using cDNA microarray technology to identify gene expression profiles and candidate genes responsible of differential cellular responses.

  5. Gene expression profiles in irradiated cancer cells

    Energy Technology Data Exchange (ETDEWEB)

    Minafra, L.; Bravatà, V.; Russo, G.; Ripamonti, M.; Gilardi, M. C. [IBFM CNR - LATO, Cefalù, Segrate (Italy)

    2013-07-26

    Knowledge of the molecular and genetic mechanisms underlying cellular response to radiation may provide new avenues to develop innovative predictive tests of radiosensitivity of tumours and normal tissues and to improve individual therapy. Nowadays very few studies describe molecular changes induced by hadrontherapy treatments, therefore this field has to be explored and clarified. High-throughput methodologies, such as DNA microarray, allow us to analyse mRNA expression of thousands of genes simultaneously in order to discover new genes and pathways as targets of response to hadrontherapy. Our aim is to elucidate the molecular networks involved in the sensitivity/resistance of cancer cell lines subjected to hadrontherapy treatments with a genomewide approach by using cDNA microarray technology to identify gene expression profiles and candidate genes responsible of differential cellular responses.

  6. ANALYSES ON DIFFERENTIALLY EXPRESSED GENES ASSOCIATED WITH HUMAN BREAST CANCER

    Institute of Scientific and Technical Information of China (English)

    MENG Xu-li; DING Xiao-wen; XU Xiao-hong

    2006-01-01

    Objective: To investigate the molecular etiology of breast cancer by way of studying the differential expression and initial function of the related genes in the occurrence and development of breast cancer. Methods: Two hundred and eighty-eight human tumor related genes were chosen for preparation of the oligochips probe. mRNA was extracted from 16 breast cancer tissues and the corresponding normal breast tissues, and cDNA probe was prepared through reverse-transcription and hybridized with the gene chip. A laser focused fluorescent scanner was used to scan the chip. The different gene expressions were thereafter automatically compared and analyzed between the two sample groups. Cy3/Cy5>3.5 meant significant up-regulation. Cy3/Cy5<0.25 meant significant down-regulation. Results: The comparison between the breast cancer tissues and their corresponding normal tissues showed that 84 genes had differential expression in the Chip. Among the differently expressed genes, there were 4 genes with significant down-regulation and 6 with significant up-regulation. Compared with normal breast tissues, differentially expressed genes did partially exist in the breast cancer tissues. Conclusion: Changes in multi-gene expression regulations take place during the occurrence and development of breast cancer; and the research on related genes can help understanding the mechanism of tumor occurrence.

  7. Prognostic Gene Expression Profiles in Breast Cancer

    DEFF Research Database (Denmark)

    Sørensen, Kristina Pilekær

    Each year approximately 4,800 Danish women are diagnosed with breast cancer. Several clinical and pathological factors are used as prognostic and predictive markers to categorize the patients into groups of high or low risk. Around 90% of all patients are allocated to the high risk group...... clinical courses, and they may be useful as novel prognostic biomarkers in breast cancer. The aim of the present project was to predict the development of metastasis in lymph node negative breast cancer patients by RNA profiling. We collected and analyzed 82 primary breast tumors from patients who...... and the time of event. Previous findings have shown that high expression of the lncRNA HOTAIR is correlated with poor survival in breast cancer. We validated this finding by demonstrating that high HOTAIR expression in our primary tumors was significantly associated with worse prognosis independent...

  8. Gene Expression Correlation for Cancer Diagnosis: A Pilot Study

    Directory of Open Access Journals (Sweden)

    Binbing Ling

    2014-01-01

    Full Text Available Poor prognosis for late-stage, high-grade, and recurrent cancers has been motivating cancer researchers to search for more efficient biomarkers to identify the onset of cancer. Recent advances in constructing and dynamically analyzing biomolecular networks for different types of cancer have provided a promising novel strategy to detect tumorigenesis and metastasis. The observation of different biomolecular networks associated with normal and cancerous states led us to hypothesize that correlations for gene expressions could serve as valid indicators of early cancer development. In this pilot study, we tested our hypothesis by examining whether the mRNA expressions of three randomly selected cancer-related genes PIK3C3, PIM3, and PTEN were correlated during cancer progression and the correlation coefficients could be used for cancer diagnosis. Strong correlations (0.68≤r≤1.0 were observed between PIK3C3 and PIM3 in breast cancer, between PIK3C3 and PTEN in breast and ovary cancers, and between PIM3 and PTEN in breast, kidney, liver, and thyroid cancers during disease progression, implicating that the correlations for cancer network gene expressions could serve as a supplement to current clinical biomarkers, such as cancer antigens, for early cancer diagnosis.

  9. Differentially Expressed Genes and Signature Pathways of Human Prostate Cancer.

    Directory of Open Access Journals (Sweden)

    Jennifer S Myers

    Full Text Available Genomic technologies including microarrays and next-generation sequencing have enabled the generation of molecular signatures of prostate cancer. Lists of differentially expressed genes between malignant and non-malignant states are thought to be fertile sources of putative prostate cancer biomarkers. However such lists of differentially expressed genes can be highly variable for multiple reasons. As such, looking at differential expression in the context of gene sets and pathways has been more robust. Using next-generation genome sequencing data from The Cancer Genome Atlas, differential gene expression between age- and stage- matched human prostate tumors and non-malignant samples was assessed and used to craft a pathway signature of prostate cancer. Up- and down-regulated genes were assigned to pathways composed of curated groups of related genes from multiple databases. The significance of these pathways was then evaluated according to the number of differentially expressed genes found in the pathway and their position within the pathway using Gene Set Enrichment Analysis and Signaling Pathway Impact Analysis. The "transforming growth factor-beta signaling" and "Ran regulation of mitotic spindle formation" pathways were strongly associated with prostate cancer. Several other significant pathways confirm reported findings from microarray data that suggest actin cytoskeleton regulation, cell cycle, mitogen-activated protein kinase signaling, and calcium signaling are also altered in prostate cancer. Thus we have demonstrated feasibility of pathway analysis and identified an underexplored area (Ran for investigation in prostate cancer pathogenesis.

  10. Gene expression analysis identifies global gene dosage sensitivity in cancer

    DEFF Research Database (Denmark)

    Fehrmann, Rudolf S. N.; Karjalainen, Juha M.; Krajewska, Malgorzata;

    2015-01-01

    expression. We reanalyzed 77,840 expression profiles and observed a limited set of 'transcriptional components' that describe well-known biology, explain the vast majority of variation in gene expression and enable us to predict the biological function of genes. On correcting expression profiles...... for these components, we observed that the residual expression levels (in 'functional genomic mRNA' profiling) correlated strongly with copy number. DNA copy number correlated positively with expression levels for 99% of all abundantly expressed human genes, indicating global gene dosage sensitivity. By applying...

  11. Risk analysis of colorectal cancer incidence by gene expression analysis

    Science.gov (United States)

    Shangkuan, Wei-Chuan; Lin, Hung-Che; Chang, Yu-Tien; Jian, Chen-En; Fan, Hueng-Chuen; Chen, Kang-Hua; Liu, Ya-Fang; Hsu, Huan-Ming; Chou, Hsiu-Ling; Yao, Chung-Tay

    2017-01-01

    Background Colorectal cancer (CRC) is one of the leading cancers worldwide. Several studies have performed microarray data analyses for cancer classification and prognostic analyses. Microarray assays also enable the identification of gene signatures for molecular characterization and treatment prediction. Objective Microarray gene expression data from the online Gene Expression Omnibus (GEO) database were used to to distinguish colorectal cancer from normal colon tissue samples. Methods We collected microarray data from the GEO database to establish colorectal cancer microarray gene expression datasets for a combined analysis. Using the Prediction Analysis for Microarrays (PAM) method and the GSEA MSigDB resource, we analyzed the 14,698 genes that were identified through an examination of their expression values between normal and tumor tissues. Results Ten genes (ABCG2, AQP8, SPIB, CA7, CLDN8, SCNN1B, SLC30A10, CD177, PADI2, and TGFBI) were found to be good indicators of the candidate genes that correlate with CRC. From these selected genes, an average of six significant genes were obtained using the PAM method, with an accuracy rate of 95%. The results demonstrate the potential of utilizing a model with the PAM method for data mining. After a detailed review of the published reports, the results confirmed that the screened candidate genes are good indicators for cancer risk analysis using the PAM method. Conclusions Six genes were selected with 95% accuracy to effectively classify normal and colorectal cancer tissues. We hope that these results will provide the basis for new research projects in clinical practice that aim to rapidly assess colorectal cancer risk using microarray gene expression analysis. PMID:28229027

  12. Gene expression profiles in liver cancer and normal liver tissues

    Institute of Scientific and Technical Information of China (English)

    Lian Xin Liu; Hong Chi Jiang; An Long Zhu; Jin Zhou; Xiu Qin Wang; Min Wu

    2000-01-01

    AIM To describe a liver cancer = specific gene expression profile and to identify genes that showed alteredexpression between liver cancer tissues and their adjacent nearly normal tissues.METHODS The cDNA probes which were labeled with a-32P dATP were synthesized from total RNA ofliver cancer and adjacent normal tissues and hybridized separately to two identical Atlas human cancer eDNAexpression array membranes containing 588 known genes.RESULTS Autoradiographic results were analyzed by specific Atlas ImageTM (version 1. 0) software.Among the 588 genes analyzed, 18 genes were found up-regulated in cancer, including TFDP2, Aktl, E2F-3etc, and 25 genes were down-regulated in cancer, including TDGF1, BAK, LAR, etc. Expression levels ofgenes that associated with the regulation of cell proliferation, apoptosis, differentiation, cell-cellinteraction, invasion regulators and eytokines altered mostly.CONCLUSION The result obtained from Atlas microarray provides a comprehensive liver cancer-specificexpression profile. The results can lead to the identification of liver cancer-specific biomarkers and may behelpful in early diagnosis and dentifiction of target genes for designing rational therapeutic strategies.

  13. Gene expression profiling of breast cancer in Lebanese women

    Science.gov (United States)

    Makoukji, Joelle; Makhoul, Nadine J.; Khalil, Maya; El-Sitt, Sally; Aldin, Ehab Saad; Jabbour, Mark; Boulos, Fouad; Gadaleta, Emanuela; Sangaralingam, Ajanthah; Chelala, Claude; Boustany, Rose-Mary; Tfayli, Arafat

    2016-01-01

    Breast cancer is commonest cancer in women worldwide. Elucidation of underlying biology and molecular pathways is necessary for improving therapeutic options and clinical outcomes. Molecular alterations in breast cancer are complex and involve cross-talk between multiple signaling pathways. The aim of this study is to extract a unique mRNA fingerprint of breast cancer in Lebanese women using microarray technologies. Gene-expression profiles of 94 fresh breast tissue samples (84 cancerous/10 non-tumor adjacent samples) were analyzed using GeneChip Human Genome U133 Plus 2.0 arrays. Quantitative real-time PCR was employed to validate candidate genes. Differentially expressed genes between breast cancer and non-tumor tissues were screened. Significant differences in gene expression were established for COL11A1/COL10A1/MMP1/COL6A6/DLK1/S100P/CXCL11/SOX11/LEP/ADIPOQ/OXTR/FOSL1/ACSBG1 and C21orf37. Pathways/diseases representing these genes were retrieved and linked using PANTHER®/Pathway Studio®. Many of the deregulated genes are associated with extracellular matrix, inflammation, angiogenesis, metastasis, differentiation, cell proliferation and tumorigenesis. Characteristics of breast cancers in Lebanese were compared to those of women from Western populations to explain why breast cancer is more aggressive and presents a decade earlier in Lebanese victims. Delineating molecular mechanisms of breast cancer in Lebanese women led to key genes which could serve as potential biomarkers and/or novel drug targets for breast cancer. PMID:27857161

  14. Differential expression of ZFX gene in gastric cancer

    Indian Academy of Sciences (India)

    Parvaneh Nikpour; Modjtaba Emadi-Baygi; Faezeh Mohammad-Hashem; Mohamad Reza Maracy; Shaghayegh Haghjooy-Javanmard

    2012-03-01

    Gastric cancer accounts for 8% of the total cancer cases and 10% of total cancer deaths worldwide. In Iran, gastric cancer is the leading cause of national cancer-related mortality. Most human cancers show substantial heterogeneity. The cancer stem cell (CSC) hypothesis has been proposed to reconcile this heterogeneity. ZFX encodes a member of the krueppel C2H2-type zinc-finger protein family that is required as a transcriptional regulator for self-renewal of stem cells. A total of 30 paired tissue gastric samples were examined for ZFX gene expression by quantitative real-time RT-PCR. Although the relative expression of the gene was significantly high in 47% of the examined tumour tissues, its expression was low in the others (53%). There was a statistically significant association between the ZFX gene expression and different tumour types and grades. This is the first report that shows ZFX was differentially expressed in gastric cancer. Of note, it was overexpressed in diffused-type and grade III gastric tumoural tissues. Due to this, ZFX may have the potential to be used as a target for therapeutic interventions.

  15. Yin Yang gene expression ratio signature for lung cancer prognosis.

    Directory of Open Access Journals (Sweden)

    Wayne Xu

    Full Text Available Many studies have established gene expression-based prognostic signatures for lung cancer. All of these signatures were built from training data sets by learning the correlation of gene expression with the patients' survival time. They require all new sample data to be normalized to the training data, ultimately resulting in common problems of low reproducibility and impracticality. To overcome these problems, we propose a new signature model which does not involve data training. We hypothesize that the imbalance of two opposing effects in lung cancer cells, represented by Yin and Yang genes, determines a patient's prognosis. We selected the Yin and Yang genes by comparing expression data from normal lung and lung cancer tissue samples using both unsupervised clustering and pathways analyses. We calculated the Yin and Yang gene expression mean ratio (YMR as patient risk scores. Thirty-one Yin and thirty-two Yang genes were identified and selected for the signature development. In normal lung tissues, the YMR is less than 1.0; in lung cancer cases, the YMR is greater than 1.0. The YMR was tested for lung cancer prognosis prediction in four independent data sets and it significantly stratified patients into high- and low-risk survival groups (p = 0.02, HR = 2.72; p = 0.01, HR = 2.70; p = 0.007, HR = 2.73; p = 0.005, HR = 2.63. It also showed prediction of the chemotherapy outcomes for stage II & III. In multivariate analysis, the YMR risk factor was more successful at predicting clinical outcomes than other commonly used clinical factors, with the exception of tumor stage. The YMR can be measured in an individual patient in the clinic independent of gene expression platform. This study provided a novel insight into the biology of lung cancer and shed light on the clinical applicability.

  16. Gene Expression Analysis of Breast Cancer Progression

    Science.gov (United States)

    2005-07-01

    Giri D, Chen B, Gerald W Molecular Diagnosis of Breast Cancer Therapeutic Biomarkers Using Oligonucleotide Arrays Abstract presentation USCAP 2005. 5...Bone Metastasis. Submitted Lal P, Donaton M, Girl D, Chen B, Gerald W Molecular Diagnosis of Breast Cancer Therapeutic Biomarkers Using Oligonucleotide

  17. Expression of liver cancer associated gene HCCA3

    Institute of Scientific and Technical Information of China (English)

    Zheng-Xu Wang; Gui-Fang Hu; Hong-Yang Wang; Meng-Chao Wu

    2001-01-01

    AIM: To study and clone a novel liver cancer reisted gene,and to explore the molecular basis of liver cancer genesis. METHODS: Using mRNA differential display polymerasechain reaction (DDPCR), we investigated the difference of mRNA in human hepatocellular carcinoma (HCC) and paired surrounding liver tissues, and got a gene probe. By screening a human placenta cDNA library and genomic homologous extend, we obtained a full-length cDNA named HCCA3. We analyzed the expression of this novel gene in 42pairs of HCC and the surrounding liver tissues, and distribution in human normal tissues by means of Northern blot assay. RESULTS: A full-length cDNA of liver cancer associated gene HCCA3 has been submitted to the GeneBank nucleotide sequence databases ( Accession No. AF276707 ). The positive expression rate of this gene was 78.6% (33/42) in HCC tissues, and the clinical pathological data showed that the HCCA3 was closely associated with the invasion of tumor capsule ( P = 0.023) and adjacant small metastasis satellite nodules lesions ( P= 0.041). The HCCA3 was widely distributed in the human normal tissues, which was intensively expressed in lungs, brain and colon tissues,while lowly expressed in the liver tissues. CONCLUSION: A novel full-length cDNA was cloned and differentiated, which was highly expressed in liver cancer tissues. The high expression was closely related to the tumor invasiveness and metastasis, that may be the late heredited change in HCC genesis.

  18. Gene expression profile differences in gastric cancer, pericancerous epithelium and normal gastric mucosa by gene chip

    Institute of Scientific and Technical Information of China (English)

    Chuan-Ding Yu; Shen-Hua Xu; Hang-Zhou Mou; Zhi-Ming Jiang; Chi-Hong Zhu; Xiang-Lin Liu

    2005-01-01

    AIM: To study the difference of gene expression in gastric cancer (T), pericancerous epithelium (P) and normal tissue of gastric mucosa (C), and to screen an associated novel gene in early gastric carcinogenesis by oligonudeotide microarray.METHODS: U133A (Affymetrix, Santa Clara, CA) gene chip was used to detect the gene expression profile difference in T, P and C, respectively. Bioinformatics was used to analyze the detected results.RESULTS: When gastric cancer was compared with normal gastric mucosa, 766 genes were found, with a difference of more than four times in expression levels. Of the 766 genes,530 were up-regulated (Signal Log Ratio [SLR]>2), and 236 were down-regulated (SLR<-2). When pericancerous epithelium was compared with normal gastric mucosa, 64genes were found, with a difference of more than four times in expression levels. Of the 64 genes, 50 were up-regulated (SLR>2), and 14 were down-regulated (SLR<-2). Compared with normal gastric mucosa, a total of 143 genes with a difference in expression levels (more than four times, either in cancer or in pericancerous epithelium) were found in gastric cancer (T) and pericancerous epithelium (P). Of the 143 genes, 108 were up-regulated (SLR>2), and 35were down-regulated (SLR<-2).CONCLUSION: To apply a gene chip could find 143 genes associated with the genes of gastric cancer in pericancerous epithelium, although there were no pathological changes in the tissue slices. More interesting, six genes of pericancerous epithelium were up-regulated in comparison with genes of gastric cancer and three genes were down-regulated in comparison with genes of gastric cancer. It is suggested that these genes may be related to the carcinogenesis and development of early gastric cancer.

  19. Evaluation of ST13 gene expression in colorectal cancer patients

    Institute of Scientific and Technical Information of China (English)

    DONG Qing-hua; ZHENG Shu; HU Yue; CHEN Gong-xing; DING Jia-yi

    2005-01-01

    We identified a novel gene ST13 from a subtractive cDNA library of normal intestinal mucosa in 1993, more studies showed that ST13 was a co-chaperone of Hsp70s. Recently we detected the ST13 gene expression in tumor tissue and adjacent normal tissue of the same colorectal cancer patient and investigated ifthe ST13 gene expression might have any prognostic value.Analysis was performed at molecular level by reverse transcfiption-PCR using real-time detection method. We measured two genes simultaneously, ST13 as the target gene and glyceraldehydes-3-phosphate dehydrogenase as a reference gene, in primary colorectal tumor specimens and tumor-adjacent normal mucosa specimens from 50 colorectal cancer patients. The expression levels of the ST13 gene were significantly decreased in primary tumors compared with adjacent mucosa (P<0.05). But there were no significant differences in the expression of ST13 as compared with different Dukes' stage, tumor differentiation grade, invasion depth, lymph node metastasis and disease-specific survival.

  20. Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data

    Science.gov (United States)

    Jiang, Bing; Li, Shuwen; Jiang, Zhi

    2017-01-01

    Gastric cancer is one of the most severe complex diseases with high morbidity and mortality in the world. The molecular mechanisms and risk factors for this disease are still not clear since the cancer heterogeneity caused by different genetic and environmental factors. With more and more expression data accumulated nowadays, we can perform integrative analysis for these data to understand the complexity of gastric cancer and to identify consensus players for the heterogeneous cancer. In the present work, we screened the published gene expression data and analyzed them with integrative tool, combined with pathway and gene ontology enrichment investigation. We identified several consensus differentially expressed genes and these genes were further confirmed with literature mining; at last, two genes, that is, immunoglobulin J chain and C-X-C motif chemokine ligand 17, were screened as novel gastric cancer associated genes. Experimental validation is proposed to further confirm this finding. PMID:28232943

  1. Cancer classification based on gene expression using neural networks.

    Science.gov (United States)

    Hu, H P; Niu, Z J; Bai, Y P; Tan, X H

    2015-12-21

    Based on gene expression, we have classified 53 colon cancer patients with UICC II into two groups: relapse and no relapse. Samples were taken from each patient, and gene information was extracted. Of the 53 samples examined, 500 genes were considered proper through analyses by S-Kohonen, BP, and SVM neural networks. Classification accuracy obtained by S-Kohonen neural network reaches 91%, which was more accurate than classification by BP and SVM neural networks. The results show that S-Kohonen neural network is more plausible for classification and has a certain feasibility and validity as compared with BP and SVM neural networks.

  2. Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data

    CERN Document Server

    Getz, G; Kela, I; Domany, E; Notterman, D A; Getz, Gad; Gal, Hilah; Kela, Itai; Domany, Eytan; Notterman, Dan A.

    2003-01-01

    We present and review Coupled Two Way Clustering, a method designed to mine gene expression data. The method identifies submatrices of the total expression matrix, whose clustering analysis reveals partitions of samples (and genes) into biologically relevant classes. We demonstrate, on data from colon and breast cancer, that we are able to identify partitions that elude standard clustering analysis.

  3. Glycosyltransferase Gene Expression Profiles Classify Cancer Types and Propose Prognostic Subtypes

    Science.gov (United States)

    Ashkani, Jahanshah; Naidoo, Kevin J.

    2016-05-01

    Aberrant glycosylation in tumours stem from altered glycosyltransferase (GT) gene expression but can the expression profiles of these signature genes be used to classify cancer types and lead to cancer subtype discovery? The differential structural changes to cellular glycan structures are predominantly regulated by the expression patterns of GT genes and are a hallmark of neoplastic cell metamorphoses. We found that the expression of 210 GT genes taken from 1893 cancer patient samples in The Cancer Genome Atlas (TCGA) microarray data are able to classify six cancers; breast, ovarian, glioblastoma, kidney, colon and lung. The GT gene expression profiles are used to develop cancer classifiers and propose subtypes. The subclassification of breast cancer solid tumour samples illustrates the discovery of subgroups from GT genes that match well against basal-like and HER2-enriched subtypes and correlates to clinical, mutation and survival data. This cancer type glycosyltransferase gene signature finding provides foundational evidence for the centrality of glycosylation in cancer.

  4. Expression of a novel immunoglobulin gene SNC73 in humar cancer and non-cancerous tissues

    Institute of Scientific and Technical Information of China (English)

    Jian-Bin Hu; Shu Zheng; Yong-Chuan Deng

    2003-01-01

    AIM: To investigate the expression of immunoglobulin gene SNC73 in malignant tumors and non-cancerous normal tissues.METHODS: Expression level of SNC73 in tumors and noncancerous tissues from the same patient was determined by reverse transcription polymerase chain reaction and enzyme-linked immunosorbent assay (RT-PCR-ELISA) in 90cases of malignant tumors, including colorectal cancer, gastric cancer, breast cancer, lung cancer and liver cancer. Analysis on the correlation of SNC73 expression with sex, age, site,grade of differentiation, depth of invasion, and metastases in colorectal cancer patients was made.RESULTS: Expression level of SNC73 in non-cancerous colorectal mucosa and colorectal cancerous tissues was 1.234±0.842 and 0.737±0.731, respectively (P<0.01), with the mean ratio of 7.134±14.092 (range, 0.36-59.54).Expression of SNC73 showed no significant difference among gastric cancer, breast cancer, lung cancer and liver cancer when compared with non-cancerous tissues (P>0.05). No correlation was found between SNC73 expression level and various clinicopathological factors, including sex, age, site,grade of differentiation, depth of invasion and metastases of CRC patients.CONCLUSION: Down-regulation of SNC73 expression may be a relatively specific phenomenon in colorectal cancer.SNC73 is a potential genetic marker for the carcinongenesis of colorectal cancer. The relationship of SNC73 expression and carcinogenesis of colorectal cancer merits further study.

  5. Gene expression profiles in stages II and III colon cancers

    DEFF Research Database (Denmark)

    Thorsteinsson, Morten; Kirkeby, Lene T; Hansen, Raino;

    2012-01-01

    were retrieved from the Gene Expression Omnibus (GEO) (n¿=¿111) in addition to a Danish data set (n¿=¿37). All patients had stages II and III colon cancers. A Prediction Analysis of Microarray classifier, based on the 128-gene signature and the original training set of stage I (n¿=¿65) and stage IV (n......¿=¿76) colon cancers, was reproduced. The stages II and III colon cancers were subsequently classified as either stage I-like (good prognosis) or stage IV-like (poor prognosis) and assessed by the 36 months cumulative incidence of relapse. RESULTS: In the GEO data set, results were reproducible in stage...... correctly predicted as stage IV-like, and the remaining patients were predicted as stage I-like and unclassifiable, respectively. Stage II patients could not be stratified. CONCLUSIONS: The 128-gene signature showed reproducibility in stage III colon cancer, but could not predict recurrence in stage II...

  6. THE GENE EXPRESSION PROFILE OF HIGHLY METASTATIC HUMAN OVARIAN CANCER CELL LINE BY GENE CHIP

    Institute of Scientific and Technical Information of China (English)

    吕桂泉; 许沈华; 牟瀚舟; 朱赤红; 羊正炎; 高永良; 楼洪坤; 刘祥麟; 杨文; 程勇

    2001-01-01

    To study the gene expression of high metastatic human ovarian carcinoma cell line (HO-8910PM) and to screen for novel metastasis- associated genes by cDNA microarray. Methods: The cDNA was retro-transcribed from equal quantity mRNA derived from tissues of highly metastatic ovarian carcinoma cell line and normal ovarian, and was labeled with Cy5 and Cy3 fluorescence as probes. The mixed probes were hybridized with BioDoor 4096 double dot human whole gene chip. The chip was scanned by scanArray 3000 laser scanner. The acquired image was analyzed by ImaGene 3.0 software. Results: By applying the cDNA microarray we found: A total of 323 genes whose expression level were 3 times higher or lower in HO-8910PM cell than normal ovarian epithelium cell were screened out, with 71 higher and 252 lower respectively. Among these 10 were new genes. 67 genes showed expression difference bigger than 6 times between HO-8910PM cell and normal ovarian epithelium cell, among these genes 12 were higher, 55 lower, and two new genes were found. Conclusion: cDNA microarray technique is effective in screening the differentially expressed genes between human ovarian cancer cell line (HO-8910PM) and normal ovarian epithelium cell. Using the cDNA microarray to analyze of human ovarian cancer cell line gene expression profile difference will help the gene diagnosis, treatment and protection.

  7. Hierarchical clustering of breast cancer methylomes revealed differentially methylated and expressed breast cancer genes.

    Directory of Open Access Journals (Sweden)

    I-Hsuan Lin

    Full Text Available Oncogenic transformation of normal cells often involves epigenetic alterations, including histone modification and DNA methylation. We conducted whole-genome bisulfite sequencing to determine the DNA methylomes of normal breast, fibroadenoma, invasive ductal carcinomas and MCF7. The emergence, disappearance, expansion and contraction of kilobase-sized hypomethylated regions (HMRs and the hypomethylation of the megabase-sized partially methylated domains (PMDs are the major forms of methylation changes observed in breast tumor samples. Hierarchical clustering of HMR revealed tumor-specific hypermethylated clusters and differential methylated enhancers specific to normal or breast cancer cell lines. Joint analysis of gene expression and DNA methylation data of normal breast and breast cancer cells identified differentially methylated and expressed genes associated with breast and/or ovarian cancers in cancer-specific HMR clusters. Furthermore, aberrant patterns of X-chromosome inactivation (XCI was found in breast cancer cell lines as well as breast tumor samples in the TCGA BRCA (breast invasive carcinoma dataset. They were characterized with differentially hypermethylated XIST promoter, reduced expression of XIST, and over-expression of hypomethylated X-linked genes. High expressions of these genes were significantly associated with lower survival rates in breast cancer patients. Comprehensive analysis of the normal and breast tumor methylomes suggests selective targeting of DNA methylation changes during breast cancer progression. The weak causal relationship between DNA methylation and gene expression observed in this study is evident of more complex role of DNA methylation in the regulation of gene expression in human epigenetics that deserves further investigation.

  8. Hierarchy of gene expression data is predictive of future breast cancer outcome

    Science.gov (United States)

    Chen, Man; Deem, Michael W.

    2013-10-01

    We calculate measures of hierarchy in gene and tissue networks of breast cancer patients. We find that the likelihood of metastasis in the future is correlated with increased values of network hierarchy for expression networks of cancer-associated genes, due to the correlated expression of cancer-specific pathways. Conversely, future metastasis and quick relapse times are negatively correlated with the values of network hierarchy in the expression network of all genes, due to the dedifferentiation of gene pathways and circuits. These results suggest that the hierarchy of gene expression may be useful as an additional biomarker for breast cancer prognosis.

  9. Turning the gene tap off; implications of regulating gene expression for cancer therapeutics.

    Science.gov (United States)

    Curtin, James F; Candolfi, Marianela; Xiong, Weidong; Lowenstein, Pedro R; Castro, Maria G

    2008-03-01

    Cancer poses a tremendous therapeutic challenge worldwide, highlighting the critical need for developing novel therapeutics. A promising cancer treatment modality is gene therapy, which is a form of molecular medicine designed to introduce into target cells genetic material with therapeutic intent. Anticancer gene therapy strategies currently used in preclinical models, and in some cases in the clinic, include proapoptotic genes, oncolytic/replicative vectors, conditional cytotoxic approaches, inhibition of angiogenesis, inhibition of growth factor signaling, inactivation of oncogenes, inhibition of tumor invasion and stimulation of the immune system. The translation of these novel therapeutic modalities from the preclinical setting to the clinic has been driven by encouraging preclinical efficacy data and advances in gene delivery technologies. One area of intense research involves the ability to accurately regulate the levels of therapeutic gene expression to achieve enhanced efficacy and provide the capability to switch gene expression off completely if adverse side effects should arise. This feature could also be implemented to switch gene expression off when a successful therapeutic outcome ensues. Here, we will review recent developments related to the engineering of transcriptional switches within gene delivery systems, which could be implemented in clinical gene therapy applications directed at the treatment of cancer.

  10. Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression data

    Directory of Open Access Journals (Sweden)

    Efstathiou Eleni

    2009-08-01

    Full Text Available Abstract Backgound The genetic mechanisms of prostate tumorigenesis remain poorly understood, but with the advent of gene expression array capabilities, we can now produce a large amount of data that can be used to explore the molecular and genetic mechanisms of prostate tumorigenesis. Methods We conducted a meta-analysis of gene expression data from 18 gene array datasets targeting transition from normal to localized prostate cancer and from localized to metastatic prostate cancer. We functionally annotated the top 500 differentially expressed genes and identified several candidate pathways associated with prostate tumorigeneses. Results We found the top differentially expressed genes to be clustered in pathways involving integrin-based cell adhesion: integrin signaling, the actin cytoskeleton, cell death, and cell motility pathways. We also found integrins themselves to be downregulated in the transition from normal prostate tissue to primary localized prostate cancer. Based on the results of this study, we developed a collagen hypothesis of prostate tumorigenesis. According to this hypothesis, the initiating event in prostate tumorigenesis is the age-related decrease in the expression of collagen genes and other genes encoding integrin ligands. This concomitant depletion of integrin ligands leads to the accumulation of ligandless integrin and activation of integrin-associated cell death. To escape integrin-associated death, cells suppress the expression of integrins, which in turn alters the actin cytoskeleton, elevates cell motility and proliferation, and disorganizes prostate histology, contributing to the histologic progression of prostate cancer and its increased metastasizing potential. Conclusion The results of this study suggest that prostate tumor progression is associated with the suppression of integrin-based cell adhesion. Suppression of integrin expression driven by integrin-mediated cell death leads to increased cell

  11. Gene expression analysis in human breast cancer associated blood vessels.

    Directory of Open Access Journals (Sweden)

    Dylan T Jones

    Full Text Available Angiogenesis is essential for solid tumour growth, whilst the molecular profiles of tumour blood vessels have been reported to be different between cancer types. Although presently available anti-angiogenic strategies are providing some promise for the treatment of some cancers it is perhaps not surprisingly that, none of the anti-angiogenic agents available work on all tumours. Thus, the discovery of novel anti-angiogenic targets, relevant to individual cancer types, is required. Using Affymetrix microarray analysis of laser-captured, CD31-positive blood vessels we have identified 63 genes that are upregulated significantly (5-72 fold in angiogenic blood vessels associated with human invasive ductal carcinoma (IDC of the breast as compared with blood vessels in normal human breast. We tested the angiogenic capacity of a subset of these genes. Genes were selected based on either their known cellular functions, their enriched expression in endothelial cells and/or their sensitivity to anti-VEGF treatment; all features implicating their involvement in angiogenesis. For example, RRM2, a ribonucleotide reductase involved in DNA synthesis, was upregulated 32-fold in IDC-associated blood vessels; ATF1, a nuclear activating transcription factor involved in cellular growth and survival was upregulated 23-fold in IDC-associated blood vessels and HEX-B, a hexosaminidase involved in the breakdown of GM2 gangliosides, was upregulated 8-fold in IDC-associated blood vessels. Furthermore, in silico analysis confirmed that AFT1 and HEX-B also were enriched in endothelial cells when compared with non-endothelial cells. None of these genes have been reported previously to be involved in neovascularisation. However, our data establish that siRNA depletion of Rrm2, Atf1 or Hex-B had significant anti-angiogenic effects in VEGF-stimulated ex vivo mouse aortic ring assays. Overall, our results provide proof-of-principle that our approach can identify a cohort of

  12. Effects of navelbine and docetaxel on gene expression in lung cancer cell strains

    Institute of Scientific and Technical Information of China (English)

    Li CAI; Hai-ying DONG; Guang-jie SUI

    2005-01-01

    Aim: To search genes sensitivity to the anti-cancer drugs navelbine (NVB) and docetaxel (DOC) in small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) cell strains. Methods: The sensitivity of 4 strains of SCLC and 6 strains of NSCLC to NVB and DOC was evaluated using the MTT assay. The expression of 1291 sensitive-related genes to the anti-cancer drugs in 10 lung cancer cell strains was measured using cDNA macroarrays and the relationship was analyzed.Results: In total, there were 56 (r≥0.4) genes sensitive to NVB and DOC. For NVB: 36 genes were sensitive to NVB, 20 co-expressed genes between the SCLC+NSCLC set and the NSCLC set; 27 expressed genes and 7 specially expressed genes in the SCLC+NSCLC set; and 29 expressed genes and 9 specially expressed genes in the NSCLC set. For DOC, 50 genes were sensitive to DOC, 12co-expressed genes between the SCLC+NSCLC set and the NSCLC set; 24expressed genes and 12 specially expressed genes in the SCLC+NSCLC set; and 38 expressed genes and 26 specially expressed genes in the NSCLC set. The genes sensitive to NVB and DOC in lung-cancer cell stains were mainly divided into the following 4 categories: signal transduction molecules, cell factors, transcription factors and metabolism-related enzymes and inhibitors. Conclusions:There were obvious differences in genes related to NVB and DOC between SCLC and NSCLC cell strains, but the same as categories of function.

  13. Differential Expression of Motility-Related Protein-1 Gene in Gastric Cancer and Its Premalignant Lesions

    Institute of Scientific and Technical Information of China (English)

    YaoXu; JieZheng; WentianLiu; JunXing; YanyunLi; XinGeng; WeimingZhang

    2004-01-01

    OBJECTIVE To identify genes related to gastric cancer and to analyze their expression profiles in different gastric tissues. METHODS The differentially expressed cDNA bands were assayed by fluorescent differential display from gastric cancer specimens, matched with normal gastric mucosa and premalignant lesions. The motility-related protein-1 (MRP-1/CD9) gene expression was studied by Northern blots and reverse transcription polymerase chain reaction (RT-PCR) in different kinds of gastric tissue. RESULTS A differentially expressed cDNA fragment showed lower expression in all gastric cancers compared to the normal gastric mucosa and premalignant lesions; and it was found to be homologous to the MRP-1/CD9 gene. Northern blot analysis confirmed the differential expression. RT-PCR analysis showed that the MRP-1/CD9 gene was expressed at a much lower rate in gastric cancers (0.31 +0.18) compared to the matched normal gastric tissue (0.49+0.24) and premalignant lesions (0.47+0.18)(P<0.05). Furthermore, its expression in intestinal-type of gastric cancer (0.38+0.16) was higher than that expressed in a diffuse-type of gastric cancer (0.22±0.17)(P<0.05). CCONCLUSION The MRP-1/CD9 gene expression was down-regulated in gastric cancer and its expression may be related to the carcinogenic process and histological type of gastric cancer.

  14. Functional analysis of prognostic gene expression network genes in metastatic breast cancer models.

    Directory of Open Access Journals (Sweden)

    Thomas R Geiger

    Full Text Available Identification of conserved co-expression networks is a useful tool for clustering groups of genes enriched for common molecular or cellular functions [1]. The relative importance of genes within networks can frequently be inferred by the degree of connectivity, with those displaying high connectivity being significantly more likely to be associated with specific molecular functions [2]. Previously we utilized cross-species network analysis to identify two network modules that were significantly associated with distant metastasis free survival in breast cancer. Here, we validate one of the highly connected genes as a metastasis associated gene. Tpx2, the most highly connected gene within a proliferation network specifically prognostic for estrogen receptor positive (ER+ breast cancers, enhances metastatic disease, but in a tumor autonomous, proliferation-independent manner. Histologic analysis suggests instead that variation of TPX2 levels within disseminated tumor cells may influence the transition between dormant to actively proliferating cells in the secondary site. These results support the co-expression network approach for identification of new metastasis-associated genes to provide new information regarding the etiology of breast cancer progression and metastatic disease.

  15. Polymorphic CAG Repeat and Protein Expression of Androgen Receptor Gene in Colorectal Cancer.

    Science.gov (United States)

    Huang, Rui; Wang, Guiyu; Song, Yanni; Wang, Feng; Zhu, Bing; Tang, Qingchao; Liu, Zheng; Chen, Yinggang; Zhang, Qian; Muhammad, Shan; Wang, Xishan

    2015-04-01

    Although somatic alterations in CAG repeats in the androgen receptor (AR) gene have been suggested to predispose to colorectal cancer, less is known about AR in colorectal cancer carcinogenesis. Because of lack of relevant analysis on CAG repeat length and AR expression in colorectal cancer, we aimed to investigate the prognostic value of polymorphic CAG and protein expression of the AR gene in patients with colorectal cancer. A case-control study was carried out on 550 patients with colorectal cancer and 540 healthy controls to investigate whether polymorphic CAG within the AR gene is linked to increased risk for colorectal cancer. Polymorphic CAG and AR expression were analyzed to clarify their relationship with clinicopathologic and prognostic factors in patients with colorectal cancer. The study showed that the AR gene in patients with colorectal cancer had a longer CAG repeat sequence than those in the control group, as well as increased risk for colorectal cancer among females (P = 0.013), males (P = 0.002), and total colorectal cancer population (P CAG repeat sequence among males (P CAG repeat sequence and negative AR expression were associated with a short 5-year overall survival (OS) rate in colorectal cancer. Long CAG repeat sequences and the absence of AR expression were closely related to the development of colorectal cancer. Both long CAG and decreased AR expression were correlated with the poor 5-year OS in patients with colorectal cancer.

  16. Prospective study on the expression of cancer testis genes and antibody responses in 100 consecutive patients with primary breast cancer.

    NARCIS (Netherlands)

    Mischo, A.; Kubuschok, B.; Ertan, K.; Preuss, K.D.; Romeike, B.; Regitz, E.; Schormann, C.; Bruijn, D.R.H. de; Wadle, A.; Neumann, F.; Schmidt, W.; Renner, C.; Pfreundschuh, M.

    2006-01-01

    To determine the expression of cancer testis (CT) genes and antibody responses in a nonselected population of patients with primary breast cancer, we investigated the composite expression of 11 CT genes by RT-PCR in fresh biopsies of 100 consecutive cases of primary breast carcinoma and by immunohis

  17. cDNA macroarray for analysis of gene expression profiles in prostate cancer

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Background Early diagnosis and timely treatment are important for improving therapeutic efficiency of prostate cancer. DNA array is a new bio-technology for disease diagnosis. This study was conducted to diagnose prostate cancer with cDNA macroarray and analysis gene expression profiles of some selective genes in prostate cancer.Methods Total RNA was isolated from patients with prostate cancer and from normal people, and poly(A) RNA was further purified. Then it was analyzed for differentially expressed genes in prostate cancer and normal prostate by cDNA macroarray system.Results There were different expressions in the nine prostate-associated specific genes in prostate cancer as compared with normal prostate, in which, 7 were significantly upregulated and 2 were down-regulated.Conclusion As a diagnostic approach at molecular level, the cDNA macroarray is an effectively diagnostic method for prostate cancer.

  18. Hypermethylation and aberrant expression of secreted fizzled-related protein genes in pancreatic cancer

    Institute of Scientific and Technical Information of China (English)

    Xian-Min Bu; Cheng-Hai Zhao; Ning Zhang; Feng Gao; Shuai Lin; Xian-Wei Dai

    2008-01-01

    AIM:To determine the methylation status and aberrant expression of some secreted frizzled-related protein (SFRP) genes in pancreatic cancer and explore their role in pancreatic carcinogenesis. METHODS:Methylation status and expression of SFRP genes were detected by methylation-specific PCR (MSPCR) and reverse-transcription PCR (RT-PCR) respectively. RESULTS:The frequencies of methylation for SFRP genes 1,2,4,5 were 70%, 48.3%,60% and 76.7% in pancreatic cancer samples, and 21.7%, 20%,10% and 36.7% in matched cancer adjacent normal tissue samples,respectively (χ2=28.23,P<0.0001 for SFRP gene 1; χ2=10.71,P=0.001 for SFRP gene 2;χ2=32.97,P<0.0001 for SFRP gene 4;χ2=19.55,P<0.0001 for SFRP gene 5). Expression loss of SFRP genes 1,2,4 and 5 was found in 65%,40%,55% and 71.7% of 60 pancreatic cancer samples, and 25%,15%,18.3% and 31.7% of matched cancer adjacent normal tissue samples,respectively (χ2=19.39,P<0.0001 for SFRP gene 1;χ2=9.40,P=0.002 for SFRP gene 2;χ2=17.37,P<0.0001 for SFRP gene 4;χ2=19.22,P<0.0001 for SFRP gene 5).SFRP gene 1 was methylated but not expressed in PC-3 and PANC-1,SFRP gene 2 was methylated but not expressed in PANC-1 and CFPAC-1,SFRP gene 4 was methylated but not expressed in PC-3,and SFRP gene 5 was methylated but not expressed in CFPAC-1. CONCLUSION:Hypermethylation and aberrant expression of SFRP genes are common in pancreatic cancer,which may be involved in pancreatic carcinogenesis.

  19. Gene Expression Profile Differences in Gastric Cancer and Normal Gastric Mucosa by Oligonucleotide Microarrays

    Institute of Scientific and Technical Information of China (English)

    Chuanding Yu; Shenhua Xu; HangZhou Mou; Zhiming Jiang; Chihong Zhu; Xianglin Liu

    2006-01-01

    OBJECTIVE To study the difference of gene expression in gastric cancer (T) and normal tissue of gastric mucosa (C), and to screen for associated novel genes in gastric cancers by oligonucleotide microarrays.METHODS U133A (Affymetrix, Santa Clara, CA) gene chip was used to detect the gene expression profile difference in T and C. Bioinformatics was used to analyze the detected results.RESULTS When gastric cancers were compared with normal gastric mucosa, a total of 270 genes were found with a difference of more than 9times in expression levels. Of the 270 genes, 157 were up-regulated (Signal Log Ratio [SLR] ≥3), and 113 were down-regulated (SLR ≤-3).Using a classification of function, the highest number of gene expression differences related to enzymes and their regulatory genes (67, 24.8%),followed by signal-transduction genes (43,15.9%). The third were nucleic acid binding genes (17, 6.3%), fourth were transporter genes (15, 5.5%)and fifth were protein binding genes (12, 4.4%). In addition there were 50genes of unknown function, accounting for 18.5%. The five above mentioned groups made up 56.9% of the total gene number.CONCLUSION The 5 gene groups (enzymes and their regulatory proteins, signal transduction proteins, nucleic acid binding proteins, transporter and protein binding) were abnormally expressed and are important genes for further study in gastric cancers.

  20. Expression of Twist Gene in Primary Liver Cancer

    Institute of Scientific and Technical Information of China (English)

    XU Jing; CHEN Xiaoping

    2007-01-01

    In order to investigate the possibility of overexpression of Twist in primary liver cancer (PLC), the Twist expression was detected by using immunohistochemical analysis and RT-PCR assay in 45 patients with PLC. Control tissues were obtained from 9 patients with liver hemangioma. It was found that in 36 (80.0%) out of 45 PLC patients, cancerous regions showed positive cytoplasm and nucleus staining for Twist with a diffuse pattern. In noncancerous adjacent areas and control liver tissues, the expression of Twist was 57.8% and 22.2% respectively. The results of RT-PCR assay re- vealed that the expression of Twist was stronger in the cancerous tissues than that in the noncancer- ous adjacent tissues. It was suggested that the expression of Twist was up-regulated in PLC, which play an important role in the progression of PLC.

  1. Regulation of gene expression in ovarian cancer cells by luteinizing hormone receptor expression and activation

    Directory of Open Access Journals (Sweden)

    Dam Phuongan

    2011-06-01

    Full Text Available Abstract Background Since a substantial percentage of ovarian cancers express gonadotropin receptors and are responsive to the relatively high concentrations of pituitary gonadotropins during the postmenopausal years, it has been suggested that receptor activation may contribute to the etiology and/or progression of the neoplasm. The goal of the present study was to develop a cell model to determine the impact of luteinizing hormone (LH receptor (LHR expression and LH-mediated LHR activation on gene expression and thus obtain insights into the mechanism of gonadotropin action on ovarian surface epithelial (OSE carcinoma cells. Methods The human ovarian cancer cell line, SKOV-3, was stably transfected to express functional LHR and incubated with LH for various periods of time (0-20 hours. Transcriptomic profiling was performed on these cells to identify LHR expression/activation-dependent changes in gene expression levels and pathways by microarray and qRT-PCR analyses. Results Through comparative analysis on the LHR-transfected SKOV-3 cells exposed to LH, we observed the differential expression of 1,783 genes in response to LH treatment, among which five significant families were enriched, including those of growth factors, translation regulators, transporters, G-protein coupled receptors, and ligand-dependent nuclear receptors. The most highly induced early and intermediate responses were found to occupy a network impacting transcriptional regulation, cell growth, apoptosis, and multiple signaling transductions, giving indications of LH-induced apoptosis and cell growth inhibition through the significant changes in, for example, tumor necrosis factor, Jun and many others, supportive of the observed cell growth reduction in in vitro assays. However, other observations, e.g. the substantial up-regulation of the genes encoding the endothelin-1 subtype A receptor, stromal cell-derived factor 1, and insulin-like growth factor II, all of which are

  2. Gene expression signatures for colorectal cancer microsatellite status and HNPCC

    DEFF Research Database (Denmark)

    Kruhøffer, M; Jensen, J L; Laiho, P;

    2005-01-01

    The majority of microsatellite instable (MSI) colorectal cancers are sporadic, but a subset belongs to the syndrome hereditary non-polyposis colorectal cancer (HNPCC). Microsatellite instability is caused by dysfunction of the mismatch repair (MMR) system that leads to a mutator phenotype, and MSI...... of 101 stage II and III colorectal cancers (34 MSI, 67 microsatellite stable (MSS)) using high-density oligonucleotide microarrays. From these data, we constructed a nine-gene signature capable of separating the mismatch repair proficient and deficient tumours. Subsequently, we demonstrated...

  3. Clinicopathologic and gene expression parameters predict liver cancer prognosis

    Directory of Open Access Journals (Sweden)

    Hao Ke

    2011-11-01

    Full Text Available Abstract Background The prognosis of hepatocellular carcinoma (HCC varies following surgical resection and the large variation remains largely unexplained. Studies have revealed the ability of clinicopathologic parameters and gene expression to predict HCC prognosis. However, there has been little systematic effort to compare the performance of these two types of predictors or combine them in a comprehensive model. Methods Tumor and adjacent non-tumor liver tissues were collected from 272 ethnic Chinese HCC patients who received curative surgery. We combined clinicopathologic parameters and gene expression data (from both tissue types in predicting HCC prognosis. Cross-validation and independent studies were employed to assess prediction. Results HCC prognosis was significantly associated with six clinicopathologic parameters, which can partition the patients into good- and poor-prognosis groups. Within each group, gene expression data further divide patients into distinct prognostic subgroups. Our predictive genes significantly overlap with previously published gene sets predictive of prognosis. Moreover, the predictive genes were enriched for genes that underwent normal-to-tumor gene network transformation. Previously documented liver eSNPs underlying the HCC predictive gene signatures were enriched for SNPs that associated with HCC prognosis, providing support that these genes are involved in key processes of tumorigenesis. Conclusion When applied individually, clinicopathologic parameters and gene expression offered similar predictive power for HCC prognosis. In contrast, a combination of the two types of data dramatically improved the power to predict HCC prognosis. Our results also provided a framework for understanding the impact of gene expression on the processes of tumorigenesis and clinical outcome.

  4. mRNA EXPRESSION OF PTEN AND VEGF GENES IN EPITHELIAL OVARIAN CANCER

    Institute of Scientific and Technical Information of China (English)

    陈颖; 赵雨杰; 郑华川; 杨雪飞; 汪桂兰; 辛彦

    2003-01-01

    Objective: To investigate the mRNA expression of PTEN and vascular endothelial growth factor (VEGF) genes in ovarian cancer. Methods:We examined mRNA expression of PTEN and VEGF165 in normal ovary (n=5), ovarian cyst (n=5), ovarian borderline tumor (n=9), epithelial ovarian cancer (n=60) and ovarian cancer cell line (CAOV-3) by RT-PCR. Their expressions were compared with clinicopathological features of ovarian cancer. The relationship between their expressions was concerned in all ovarian samples as well. Results:mRNA expression level of PTEN gene was significantly lower in ovarian borderline tumor or ovarian cancer than that in normal ovary or ovarian cyst(P<0.05). It was negatively correlated with clinicopathological staging(P<0.05),whereas positively with histological differentiation (P<0.05). mRNA expression level of PTEN gene was significantly lower in ovarian endometrioid cancer than ovarian serous or mucinous cancer(P<0.05). mRNA expression level of VEGF165 gene was significantly higher in ovarian cancer than that in normal ovary or ovarian cyst(P<0.05). It was positively correlated with clinicopathological staging(P<0.05), whereas negatively with histological differentiation (P<0.05). mRNA expression level of VEGF165 gene was significantly higher in ovarian serous cancer than in other ovarian epithelial cancers (P<0.05). mRNA expression of VEGF165 gene was inversely correlated with mRNA expression level of PTEN gene. Conclusion:Down-regulated expression of PTEN and up-regulated expression of VEGF were considered as two important events in tumorigenesis of ovarian cancer and could be used as molecular markers to indicate the pathobiological behaviors of ovarian cancer. Decreased PTEN expression and increased VEGF expression were closely associated with tumorigenesis and pathobiological behaviors of ovarian endometrioid and serous cancer respectively. Reduced expression of PTEN gene might be involved in carcinogenesis and progression of ovarian cancer by

  5. Studies of Differentially-Expressed Genes in Human Endometrial Cancer of Various Differentiated Grades

    Institute of Scientific and Technical Information of China (English)

    Bin Cai; David Hogg; Guangzhong Lu; Ling Liu; Xiaowei Xi; Wei Xu; Huifang Lu; Yongbin Yang; Xiaoping Wan

    2007-01-01

    OBJECTIVE To study the gene expression profiles of human endometrial cancers at various differentiaOted grade levels and to identify the genes related to differentiation of the endometrial cancers. METHODS cDNA microarray technology was used to analyze the differentially-expressed genes among different differentiated grades of 32 cases of endometrial cancer. Hierarchical cluster analysis (HCA) for the gene expression profiles of the cases was employed. RESULTS The tissue samples were grouped based on the various dif ferentiated tumor grades with 33 differentiation-related genes identified out (P<0.001). Based on the results from the HCA, the conformity rate was 91% among the 33 differentially-expressed genes and the analysis of pathological classification.CONCLUSION Genes related to the differentiation of endometrial cancer can be identified by using gene chips to analyze the expression profiles of endometrial cancers at various differentiated grades; HCA of the gene expression profiles can be helpful for distinguishing high-risk endometrial cancers before surgery.

  6. Expression and Function of ETS Genes in Prostate Cancer

    NARCIS (Netherlands)

    D. Gasi (Delila)

    2013-01-01

    markdownabstract__Abstract__ Prostate cancer is a heterogeneous disease that is very common in elderly men in developed countries. Understanding the molecular and biological processes that contribute to tumor development and progressive growth is a challenging task. The fusion of the genes ERG and

  7. Genes Associated with Human Cancers: Their Expressions, Features, Functions, and Significance.

    Science.gov (United States)

    Maddaly, Ravi; Sahu, Bellona; Mohan, Divya K

    2015-01-01

    Various types of cancer continue to be subjects of intense research because of the impact of these diseases and their socioeconomic implications. Also, the complexity involved in the pathogenesis, nature of the triggers, and the progression of cancers is intriguing. An important aspect of cancers is the genetics involved, and studies involving cancer genes contributed immensely in not only understanding cancers better, but also for obtaining useful markers and therapy targets. We review the salient features, functions, and changes in gene expression for 103 carcinoma genes, 20 sarcoma genes, and 36 lymphoma genes. Apart from the three major levels of cancer type, we discuss the implications of altered gene expression at the tissue level as well. The possible uses of these gene functions and expression changes for diagnostic, prognostic, and therapeutic applications are presented. Also, the 159 genes are assessed for their involvement in more than a single cancer and tissue type. Only the p53 gene is commonly implicated in carcinomas, sarcoma and lymphomas. The CHEK2 and ERBB2 (HER2) genes are commonly found to be associated with carcinomas and sarcomas, whereas the MDM2, MSH2, and MSH6 genes are commonly implicated among carcinomas and lymphomas.

  8. DNMT3B modulates the expression of cancer-related genes and downregulates the expression of the gene VAV3 via methylation.

    Science.gov (United States)

    Peralta-Arrieta, Irlanda; Hernández-Sotelo, Daniel; Castro-Coronel, Yaneth; Leyva-Vázquez, Marco Antonio; Illades-Aguiar, Berenice

    2017-01-01

    Altered promoter DNA methylation is one of the most important epigenetic abnormalities in human cancer. DNMT3B, de novo methyltransferase, is clearly related to abnormal methylation of tumour suppressor genes, DNA repair genes and its overexpression contributes to oncogenic processes and tumorigenesis in vivo. The purpose of this study was to assess the effect of the overexpression of DNMT3B in HaCaT cells on global gene expression and on the methylation of selected genes to the identification of genes that can be target of DNMT3B. We found that the overexpression of DNMT3B in HaCaT cells, modulate the expression of genes related to cancer, downregulated the expression of 151 genes with CpG islands and downregulated the expression of the VAV3 gene via methylation of its promoter. These results highlight the importance of DNMT3B in gene expression and human cancer.

  9. DNMT3B modulates the expression of cancer-related genes and downregulates the expression of the gene VAV3 via methylation

    Science.gov (United States)

    Peralta-Arrieta, Irlanda; Hernández-Sotelo, Daniel; Castro-Coronel, Yaneth; Leyva-Vázquez, Marco Antonio; Illades-Aguiar, Berenice

    2017-01-01

    Altered promoter DNA methylation is one of the most important epigenetic abnormalities in human cancer. DNMT3B, de novo methyltransferase, is clearly related to abnormal methylation of tumour suppressor genes, DNA repair genes and its overexpression contributes to oncogenic processes and tumorigenesis in vivo. The purpose of this study was to assess the effect of the overexpression of DNMT3B in HaCaT cells on global gene expression and on the methylation of selected genes to the identification of genes that can be target of DNMT3B. We found that the overexpression of DNMT3B in HaCaT cells, modulate the expression of genes related to cancer, downregulated the expression of 151 genes with CpG islands and downregulated the expression of the VAV3 gene via methylation of its promoter. These results highlight the importance of DNMT3B in gene expression and human cancer. PMID:28123849

  10. 21 CFR 866.6040 - Gene expression profiling test system for breast cancer prognosis.

    Science.gov (United States)

    2010-04-01

    ... cancer prognosis. 866.6040 Section 866.6040 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL DEVICES IMMUNOLOGY AND MICROBIOLOGY DEVICES Tumor... cancer prognosis. (a) Identification. A gene expression profiling test system for breast cancer...

  11. Characterization of differentially expressed genes involved in pathways associated with gastric cancer.

    Directory of Open Access Journals (Sweden)

    Hao Li

    Full Text Available To explore the patterns of gene expression in gastric cancer, a total of 26 paired gastric cancer and noncancerous tissues from patients were enrolled for gene expression microarray analyses. Limma methods were applied to analyze the data, and genes were considered to be significantly differentially expressed if the False Discovery Rate (FDR value was 2. Subsequently, Gene Ontology (GO categories were used to analyze the main functions of the differentially expressed genes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG database, we found pathways significantly associated with the differential genes. Gene-Act network and co-expression network were built respectively based on the relationships among the genes, proteins and compounds in the database. 2371 mRNAs and 350 lncRNAs considered as significantly differentially expressed genes were selected for the further analysis. The GO categories, pathway analyses and the Gene-Act network showed a consistent result that up-regulated genes were responsible for tumorigenesis, migration, angiogenesis and microenvironment formation, while down-regulated genes were involved in metabolism. These results of this study provide some novel findings on coding RNAs, lncRNAs, pathways and the co-expression network in gastric cancer which will be useful to guide further investigation and target therapy for this disease.

  12. Human breast cancer associated fibroblasts exhibit subtype specific gene expression profiles

    Directory of Open Access Journals (Sweden)

    Tchou Julia

    2012-09-01

    Full Text Available Abstract Background Breast cancer is a heterogeneous disease for which prognosis and treatment strategies are largely governed by the receptor status (estrogen, progesterone and Her2 of the tumor cells. Gene expression profiling of whole breast tumors further stratifies breast cancer into several molecular subtypes which also co-segregate with the receptor status of the tumor cells. We postulated that cancer associated fibroblasts (CAFs within the tumor stroma may exhibit subtype specific gene expression profiles and thus contribute to the biology of the disease in a subtype specific manner. Several studies have reported gene expression profile differences between CAFs and normal breast fibroblasts but in none of these studies were the results stratified based on tumor subtypes. Methods To address whether gene expression in breast cancer associated fibroblasts varies between breast cancer subtypes, we compared the gene expression profiles of early passage primary CAFs isolated from twenty human breast cancer samples representing three main subtypes; seven ER+, seven triple negative (TNBC and six Her2+. Results We observed significant expression differences between CAFs derived from Her2+ breast cancer and CAFs from TNBC and ER + cancers, particularly in pathways associated with cytoskeleton and integrin signaling. In the case of Her2+ breast cancer, the signaling pathways found to be selectively up regulated in CAFs likely contribute to the enhanced migration of breast cancer cells in transwell assays and may contribute to the unfavorable prognosis of Her2+ breast cancer. Conclusions These data demonstrate that in addition to the distinct molecular profiles that characterize the neoplastic cells, CAF gene expression is also differentially regulated in distinct subtypes of breast cancer.

  13. Determining the effect of DNA methylation on gene expression in cancer cells.

    Science.gov (United States)

    Lee, Chai-Jin; Evans, Jared; Kim, Kwangsoo; Chae, Heejoon; Kim, Sun

    2014-01-01

    DNA methylation, a DNA modification by adding methyl group to cytosine, has an important role in the regulation of gene expression. DNA methylation is known to be associated with gene transcription by interfering with DNA-binding proteins, such as transcription factors. DNA methylation is closely related to tumorigenesis, and the methylation state of some genes can be used as a biomarker for tumorigenesis. Aberrant DNA methylation of genomic regions, including CpG islands, CpG shores, and first exons, is related to the altered gene expression pattern characteristics of all human cancers. Subheading 1 surveys recent developments on DNA methylation and gene expressions in cancer. Then we provide analysis of DNA methylation and gene expression in 30 breast cancer cell lines representing different tumor phenotypes. This study conducted an integrated analysis to identify the relationship between DNA methylation in various genomic regions and expression levels of downstream genes, using MethylCapseq data (affinity purification followed by next-generation sequencing of eluted DNA) and Affymetrix gene expression microarray data. The goal of this study was to assess genome-wide methylation profiles associated with different molecular subtypes of human breast cancer (luminal, basal A, and basal B) and to comprehensively investigate the effect of DNA methylation on gene expression in breast cancer phenotypes. This showed that methylation of genomic regions near transcription start sites, CpG island, CpG shore, and first exon was strongly associated with gene repression, and the effects of the regions on gene expression patterns were different for different molecular subtypes of breast cancer. The results further indicated that aberrant methylation of specific genomic regions was significantly associated with different breast cancer subtypes.

  14. Gene expression analysis in prostate cancer: the importance of the endogenous control.

    LENUS (Irish Health Repository)

    Vajda, Alice

    2013-03-01

    Aberrant gene expression is a hallmark of cancer. Quantitative reverse-transcription PCR (qRT-PCR) is the gold-standard for quantifying gene expression, and commonly employs a house-keeping gene (HKG) as an endogenous control to normalize results; the choice of which is critical for accurate data interpretation. Many factors, including sample type, pathological state, and oxygen levels influence gene expression including putative HKGs. The aim of this study was to determine the suitability of commonly used HKGs for qRT-PCR in prostate cancer.

  15. NORTHERN BLOT ANALYSIS OF nm23 GENE EXPRESSION IN HUMAN LUNG CANCER

    Institute of Scientific and Technical Information of China (English)

    LIU Lun-xu; ZHOU Qing-hua; SHI Ying-kang; QIN Yang; SUN Zhi-lin; SUN Ze-fang

    1999-01-01

    Objective: To investigate the role of nm23 gene expression in human lung cancer. Methods: Forty human lung cancer tissues and 19 non-cancer pulmonary tissues were studied for their nm23-H1 and nm23-H2 mRNA expression with non-radioactive Northern blot hybridization. The correlation of nm23 mRNA expression with clinical features of lung cancer was analyzed. Results: The mRNA expression of nm23-H2 gene in poorly differentiated squamous cell carcinoma was significantly decreased compared to that in moderate-high differentiated squamous cell carcinoma. The mRNA expression of nm23-H1 and nm23-H2 gene in small cell lung cancer was significantly decreased compared to that in squamous cell carcinoma. No significant difference in nm23 mRNA expression was observed between lung cancer with and without lymph node metastasis, nor was there significant difference between tumor stage. Conclusion: The mRNA expression of nm23 gene is correlated with the degree of differentiation of lung cancer, but there is no evidence of metastasis suppression effect by nm23 gene.

  16. SurvExpress: an online biomarker validation tool and database for cancer gene expression data using survival analysis.

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    Raul Aguirre-Gamboa

    Full Text Available Validation of multi-gene biomarkers for clinical outcomes is one of the most important issues for cancer prognosis. An important source of information for virtual validation is the high number of available cancer datasets. Nevertheless, assessing the prognostic performance of a gene expression signature along datasets is a difficult task for Biologists and Physicians and also time-consuming for Statisticians and Bioinformaticians. Therefore, to facilitate performance comparisons and validations of survival biomarkers for cancer outcomes, we developed SurvExpress, a cancer-wide gene expression database with clinical outcomes and a web-based tool that provides survival analysis and risk assessment of cancer datasets. The main input of SurvExpress is only the biomarker gene list. We generated a cancer database collecting more than 20,000 samples and 130 datasets with censored clinical information covering tumors over 20 tissues. We implemented a web interface to perform biomarker validation and comparisons in this database, where a multivariate survival analysis can be accomplished in about one minute. We show the utility and simplicity of SurvExpress in two biomarker applications for breast and lung cancer. Compared to other tools, SurvExpress is the largest, most versatile, and quickest free tool available. SurvExpress web can be accessed in http://bioinformatica.mty.itesm.mx/SurvExpress (a tutorial is included. The website was implemented in JSP, JavaScript, MySQL, and R.

  17. Human cancer cells express Slug-based epithelial-mesenchymal transition gene expression signature obtained in vivo

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    Anastassiou Dimitris

    2011-12-01

    Full Text Available Abstract Background The biological mechanisms underlying cancer cell motility and invasiveness remain unclear, although it has been hypothesized that they involve some type of epithelial-mesenchymal transition (EMT. Methods We used xenograft models of human cancer cells in immunocompromised mice, profiling the harvested tumors separately with species-specific probes and computationally analyzing the results. Results Here we show that human cancer cells express in vivo a precise multi-cancer invasion-associated gene expression signature that prominently includes many EMT markers, among them the transcription factor Slug, fibronectin, and α-SMA. We found that human, but not mouse, cells express the signature and Slug is the only upregulated EMT-inducing transcription factor. The signature is also present in samples from many publicly available cancer gene expression datasets, suggesting that it is produced by the cancer cells themselves in multiple cancer types, including nonepithelial cancers such as neuroblastoma. Furthermore, we found that the presence of the signature in human xenografted cells was associated with a downregulation of adipocyte markers in the mouse tissue adjacent to the invasive tumor, suggesting that the signature is triggered by contextual microenvironmental interactions when the cancer cells encounter adipocytes, as previously reported. Conclusions The known, precise and consistent gene composition of this cancer mesenchymal transition signature, particularly when combined with simultaneous analysis of the adjacent microenvironment, provides unique opportunities for shedding light on the underlying mechanisms of cancer invasiveness as well as identifying potential diagnostic markers and targets for metastasis-inhibiting therapeutics.

  18. Gene expression in response to ionizing radiation and family history of gastric cancer.

    Science.gov (United States)

    Marcon, Francesca; Silvestrini, Francesco; Siniscalchi, Ester; Palli, Domenico; Saieva, Calogero; Crebelli, Riccardo

    2011-03-01

    Genes and molecular pathways involved in familial clustering of gastric cancer have not yet been identified. The purpose of the present study was to investigate gene expression changes in response to a cellular stress, and its link with a positive family history for this neoplasia. To this aim leukocytes of healthy first-degree relatives of gastric cancer patients and controls were challenged in vitro with ionizing radiation and gene expression evaluated 4 h later on microarrays with 1,800 cancer-related genes. Eight genes, mainly involved in signal transduction and cell cycle regulation, were differentially expressed in healthy relatives of gastric cancer cases. Functional class scoring by Gene Ontology classification highlighted two G-protein related pathways, implicated in the proliferation of neoplastic tissue, which were differentially expressed in healthy subjects with positive family history of gastric cancer. The relative expression of 84 genes related to these pathways was examined using the SYBR green-based quantitative real-time PCR. The results confirmed the indication of an involvement of G-protein coupled receptor pathways in GC familiarity provided by microarray analysis. This study indicates a possible association between familiarity for gastric cancer and altered transcriptional response to ionizing radiation.

  19. Suppression subtractive hybridization identified differentially expressed genes in lung adenocarcinoma: ERGIC3 as a novel lung cancer-related gene

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    Wu Mingsong

    2013-02-01

    Full Text Available Abstract Background To understand the carcinogenesis caused by accumulated genetic and epigenetic alterations and seek novel biomarkers for various cancers, studying differentially expressed genes between cancerous and normal tissues is crucial. In the study, two cDNA libraries of lung cancer were constructed and screened for identification of differentially expressed genes. Methods Two cDNA libraries of differentially expressed genes were constructed using lung adenocarcinoma tissue and adjacent nonmalignant lung tissue by suppression subtractive hybridization. The data of the cDNA libraries were then analyzed and compared using bioinformatics analysis. Levels of mRNA and protein were measured by quantitative real-time polymerase chain reaction (q-RT-PCR and western blot respectively, as well as expression and localization of proteins were determined by immunostaining. Gene functions were investigated using proliferation and migration assays after gene silencing and gene over-expression. Results Two libraries of differentially expressed genes were obtained. The forward-subtracted library (FSL and the reverse-subtracted library (RSL contained 177 and 59 genes, respectively. Bioinformatic analysis demonstrated that these genes were involved in a wide range of cellular functions. The vast majority of these genes were newly identified to be abnormally expressed in lung cancer. In the first stage of the screening for 16 genes, we compared lung cancer tissues with their adjacent non-malignant tissues at the mRNA level, and found six genes (ERGIC3, DDR1, HSP90B1, SDC1, RPSA, and LPCAT1 from the FSL were significantly up-regulated while two genes (GPX3 and TIMP3 from the RSL were significantly down-regulated (P  Conclusions The two libraries of differentially expressed genes may provide the basis for new insights or clues for finding novel lung cancer-related genes; several genes were newly found in lung cancer with ERGIC3 seeming a novel lung cancer

  20. Gene expression signature analysis identifies vorinostat as a candidate therapy for gastric cancer.

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    Sofie Claerhout

    Full Text Available BACKGROUND: Gastric cancer continues to be one of the deadliest cancers in the world and therefore identification of new drugs targeting this type of cancer is thus of significant importance. The purpose of this study was to identify and validate a therapeutic agent which might improve the outcomes for gastric cancer patients in the future. METHODOLOGY/PRINCIPAL FINDINGS: Using microarray technology, we generated a gene expression profile of human gastric cancer-specific genes from human gastric cancer tissue samples. We used this profile in the Broad Institute's Connectivity Map analysis to identify candidate therapeutic compounds for gastric cancer. We found the histone deacetylase inhibitor vorinostat as the lead compound and thus a potential therapeutic drug for gastric cancer. Vorinostat induced both apoptosis and autophagy in gastric cancer cell lines. Pharmacological and genetic inhibition of autophagy however, increased the therapeutic efficacy of vorinostat, indicating that a combination of vorinostat with autophagy inhibitors may therapeutically be more beneficial. Moreover, gene expression analysis of gastric cancer identified a collection of genes (ITGB5, TYMS, MYB, APOC1, CBX5, PLA2G2A, and KIF20A whose expression was elevated in gastric tumor tissue and downregulated more than 2-fold by vorinostat treatment in gastric cancer cell lines. In contrast, SCGB2A1, TCN1, CFD, APLP1, and NQO1 manifested a reversed pattern. CONCLUSIONS/SIGNIFICANCE: We showed that analysis of gene expression signature may represent an emerging approach to discover therapeutic agents for gastric cancer, such as vorinostat. The observation of altered gene expression after vorinostat treatment may provide the clue to identify the molecular mechanism of vorinostat and those patients likely to benefit from vorinostat treatment.

  1. Comparison of gene sets for expression profiling: prediction of metastasis from low-malignant breast cancer

    DEFF Research Database (Denmark)

    Thomassen, Mads; Tan, Qihua; Eiriksdottir, Freyja;

    2007-01-01

    -six tumors from low-risk patients and 34 low-malignant T2 tumors from patients with slightly higher risk have been examined by genome-wide gene expression analysis. Nine prognostic gene sets were tested in this data set. RESULTS: A 32-gene profile (HUMAC32) that accurately predicts metastasis has previously...... sets, mainly developed in high-risk cancers, predict metastasis from low-malignant cancer....

  2. The expression of HER-2/neu gene in colon cancer tissues and its clinical significance

    Institute of Scientific and Technical Information of China (English)

    Jing Jin; Yuxuan Che; Qimin Wang; Fang Liu; Man Li; Lifen Wang; Xiuhua Sun; Yang Zhang

    2013-01-01

    Objective:The article aims to detect the expression of HER-2/neu gene in colon cancer tissues and adjacent tissues, to analyze the relationship between dif erent pathologic types and clinical features, also to invest the distribution of patients with positive expression of HER-2 gene. Methods:The expression of HER-2 gene in the 223 samples with colon can-cer was detected by immunochemical approach. The expression of HER-2 gene in colon cancer tissues and adjacent tissues and dif erent pathologic types was analyzed byχ2 test. The correlation between the expression of HER-2 gene and clinical features was analyzed by Spearman. Results:The number of positive expression of HER-2 gene in colon cancer tissues and adjacent tissues were 74 and 0 respectively, the dif erence has statistical significance. The number of papil ary or tubular adenocarcinoma was 182, among them, 60 cases were positive expression. The number of mucinous adenocarcinoma was 41, among them, 14 cases were positive expression. The expression of HER-2/neu gene has no correlation with sex, age, the maximum diameter, general classification, degree of dif erentiation and depth of invasion, which has no statistical significance. However, the expression of HER-2/neu gene has correlation with metastasis of lymph node and Dukes stage, which has statistical significance. The expression of HER-2/neu gene was positive correlation with metastasis of lymph node and Dukes stage. The correlated coef icient index was 0.320 and 0.320 respectively. In the 74 patients with positive expression of HER-2 gene, 59.4%of them were 60-74 years old. And there was 97.3%of the patients without family history of adenocarcinoma. Conclusion:The expression of HER-2/neu gene in colon cancer tissues was higher than in adjacent tissues. The expression of HER-2/neu gene has no correlation with sex, age, the maximum diameter, general classification, degree of dif erentiation and depth of invasion, but has correlation with metastasis of

  3. EVALUATION OF THE PROGNOSTIC VALUE OF nm23 GENE EXPRESSION IN BREAST CANCER

    Institute of Scientific and Technical Information of China (English)

    刘红; 毛慧生; 傅西林; 方志沂; 冯玉梅; 范宇; 李树玲

    2002-01-01

    Objective: To investigate the expression of nm23 gene and evaluate its prognostic value in breast cancer. Methods: nm23 expressions were detected in 101 breast cancer patients (group 1) by immunohistochemistry. RT-PCR and immunohistochemistry were used to measure expressions of nm23 gene in another 68 patients with breast cancer (group 2). Results: nm23 gene expression in group 1 was inversely associated with distant metastasis and lymph node metastasis (P<0.05). In 44 patients with negative lymph node, 9 cases progressed to distant metastasis, 7 of them (77.8%) showed low expression of nm23 gene (P<0.05). In 57 patients with positive lymph node, 24 our of 29 patients who had no distant metastasis (82.8%) expressed nm23 gene at high level (P<0.05). Meanwhile, there were 6 patients with distant metastasis in the group 2, all of thenm expressed nm23 gene mRNA at low level. Conclusion: The results showed that nm23 gene might play an independent role in predicting prognosis of breast cancer.

  4. Identification of the differential expressive tumor associated genes in rectal cancers by cDNA microarray

    Institute of Scientific and Technical Information of China (English)

    Xue-Qin Gao; Jin-Xiang Han; Zhong-Fa Xu; Wei-Dong Zhang; Hua-Ning Zhang; Hai-Yan Huang

    2007-01-01

    AIM: To identify tumor associated genes of rectal cancer and to probe the application possibility of gene expression profiles for the classification of tumors.METHODS: Rectal cancer tissues and their paired normal mucosa were obtained from patients undergoing surgical resection of rectal cancer. Total RNA was extracted using Trizol reagents. First strand cDNA synthesis was indirectly labeled with aminoallyl-dUTP and coupled with Cy3 or Cy5 dye NHS mono-functional ester. After normalization to total spots, the genes which background subtracted intensity did not exceed 2 SD above the mean blank were excluded. The data were then sorted to obtain genes differentially expressed by≥ 2 fold up or down in at least 5 of the 21 patients.RESULTS: In the 21 rectal cancer patients, 23 genes were up-regulated in at least 5 samples and 15 genes were down-regulated in at least 5 patients. Hierachical cluster analysis classified the patients into two groups according to the clinicopathological stage, with one group being all above stage Ⅱ and one group all below stage Ⅱ.CONCLUSION: The up-regulated genes and downregulated genes may be molecular markers of rectal cancer. The expression profiles can be used for classification of rectal cancer.

  5. Amyloid precursor protein regulates migration and metalloproteinase gene expression in prostate cancer cells

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    Miyazaki, Toshiaki; Ikeda, Kazuhiro; Horie-Inoue, Kuniko [Division of Gene Regulation and Signal Transduction, Research Center for Genomic Medicine, Saitama Medical University, Saitama 350-1241 (Japan); Inoue, Satoshi, E-mail: INOUE-GER@h.u-tokyo.ac.jp [Division of Gene Regulation and Signal Transduction, Research Center for Genomic Medicine, Saitama Medical University, Saitama 350-1241 (Japan); Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655 (Japan); Department of Anti-Aging Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655 (Japan)

    2014-09-26

    Highlights: • APP knockdown reduced proliferation and migration of prostate cancer cells. • APP knockdown reduced expression of metalloproteinase and EMT-related genes. • APP overexpression promoted LNCaP cell migration. • APP overexpression increased expression of metalloproteinase and EMT-related genes. - Abstract: Amyloid precursor protein (APP) is a type I transmembrane protein, and one of its processed forms, β-amyloid, is considered to play a central role in the development of Alzheimer’s disease. We previously showed that APP is a primary androgen-responsive gene in prostate cancer and that its increased expression is correlated with poor prognosis for patients with prostate cancer. APP has also been implicated in several human malignancies. Nevertheless, the mechanism underlying the pro-proliferative effects of APP on cancers is still not well-understood. In the present study, we explored a pathophysiological role for APP in prostate cancer cells using siRNA targeting APP (siAPP). The proliferation and migration of LNCaP and DU145 prostate cancer cells were significantly suppressed by siAPP. Differentially expressed genes in siAPP-treated cells compared to control siRNA-treated cells were identified by microarray analysis. Notably, several metalloproteinase genes, such as ADAM10 and ADAM17, and epithelial–mesenchymal transition (EMT)-related genes, such as VIM, and SNAI2, were downregulated in siAPP-treated cells as compared to control cells. The expression of these genes was upregulated in LNCaP cells stably expressing APP when compared with control cells. APP-overexpressing LNCaP cells exhibited enhanced migration in comparison to control cells. These results suggest that APP may contribute to the proliferation and migration of prostate cancer cells by modulating the expression of metalloproteinase and EMT-related genes.

  6. Gene expression meta-analysis identifies chromosomal regions involved in ovarian cancer survival

    DEFF Research Database (Denmark)

    Thomassen, Mads; Jochumsen, Kirsten M; Mogensen, Ole;

    2009-01-01

    the relation of gene expression and chromosomal position to identify chromosomal regions of importance for early recurrence of ovarian cancer. By use of *Gene Set Enrichment Analysis*, we have ranked chromosomal regions according to their association to survival. Over-representation analysis including 1......Ovarian cancer cells exhibit complex karyotypic alterations causing deregulation of numerous genes. Some of these genes are probably causal for cancer formation and local growth, whereas others are causal for metastasis and recurrence. By using publicly available data sets, we have investigated......-4 consecutive cytogenetic bands identified regions with increased expression for chromosome 5q12-14, and a very large region of chromosome 7 with the strongest signal at 7p15-13 among tumors from short-living patients. Reduced gene expression was identified at 4q26-32, 6p12-q15, 9p21-q32, and 11p14-11. We...

  7. A precisely regulated gene expression cassette potently modulates metastasis and survival in multiple solid cancers.

    Directory of Open Access Journals (Sweden)

    Kun Yu

    Full Text Available Successful tumor development and progression involves the complex interplay of both pro- and anti-oncogenic signaling pathways. Genetic components balancing these opposing activities are likely to require tight regulation, because even subtle alterations in their expression may disrupt this balance with major consequences for various cancer-associated phenotypes. Here, we describe a cassette of cancer-specific genes exhibiting precise transcriptional control in solid tumors. Mining a database of tumor gene expression profiles from six different tissues, we identified 48 genes exhibiting highly restricted levels of gene expression variation in tumors (n = 270 compared to nonmalignant tissues (n = 71. Comprising genes linked to multiple cancer-related pathways, the restricted expression of this "Poised Gene Cassette" (PGC was robustly validated across 11 independent cohorts of approximately 1,300 samples from multiple cancer types. In three separate experimental models, subtle alterations in PGC expression were consistently associated with significant differences in metastatic and invasive potential. We functionally confirmed this association in siRNA knockdown experiments of five PGC genes (p53CSV, MAP3K11, MTCH2, CPSF6, and SKIP, which either directly enhanced the invasive capacities or inhibited the proliferation of AGS cancer cells. In primary tumors, similar subtle alterations in PGC expression were also repeatedly associated with clinical outcome in multiple cohorts. Taken collectively, these findings support the existence of a common set of precisely controlled genes in solid tumors. Since inducing small activity changes in these genes may prove sufficient to potently influence various tumor phenotypes such as metastasis, targeting such precisely regulated genes may represent a promising avenue for novel anti-cancer therapies.

  8. TET-catalyzed 5-hydroxymethylcytosine regulates gene expression in differentiating colonocytes and colon cancer.

    Science.gov (United States)

    Chapman, Christopher G; Mariani, Christopher J; Wu, Feng; Meckel, Katherine; Butun, Fatma; Chuang, Alice; Madzo, Jozef; Bissonette, Marc B; Kwon, John H; Godley, Lucy A

    2015-12-03

    The formation of differentiated cell types from pluripotent progenitors involves epigenetic regulation of gene expression. DNA hydroxymethylation results from the enzymatic oxidation of 5-methylcytosine (5-mC) to 5-hydroxymethylcytosine (5-hmC) by the ten-eleven translocation (TET) 5-mC dioxygenase enzymes. Previous work has mapped changes in 5-mC during differentiation of intestinal stem cells. However, whether or not 5-hmC regulates colonocyte differentiation is unknown. Here we show that 5-hmC regulates gene expression during colonocyte differentiation and controls gene expression in human colon cancers. Genome-wide profiling of 5-hmC during in vitro colonic differentiation demonstrated that 5-hmC is gained at highly expressed and induced genes and is associated with intestinal transcription factor binding sites, including those for HNF4A and CDX2. TET1 induction occurred during differentiation, and TET1 knockdown altered gene expression and inhibited barrier formation of colonocytes. We find that the 5-hmC distribution in primary human colonocytes parallels the distribution found in differentiated cells in vitro, and that gene-specific 5-hmC changes in human colon cancers are directly correlated with changes in gene expression. Our results support a model in which 5-hmC regulates differentiation of adult human intestine and 5-hmC alterations contribute to the disrupted gene expression in colon cancer.

  9. Aberrant RNA splicing in cancer; expression changes and driver mutations of splicing factor genes.

    Science.gov (United States)

    Sveen, A; Kilpinen, S; Ruusulehto, A; Lothe, R A; Skotheim, R I

    2016-05-12

    Alternative splicing is a widespread process contributing to structural transcript variation and proteome diversity. In cancer, the splicing process is commonly disrupted, resulting in both functional and non-functional end-products. Cancer-specific splicing events are known to contribute to disease progression; however, the dysregulated splicing patterns found on a genome-wide scale have until recently been less well-studied. In this review, we provide an overview of aberrant RNA splicing and its regulation in cancer. We then focus on the executors of the splicing process. Based on a comprehensive catalog of splicing factor encoding genes and analyses of available gene expression and somatic mutation data, we identify cancer-associated patterns of dysregulation. Splicing factor genes are shown to be significantly differentially expressed between cancer and corresponding normal samples, and to have reduced inter-individual expression variation in cancer. Furthermore, we identify enrichment of predicted cancer-critical genes among the splicing factors. In addition to previously described oncogenic splicing factor genes, we propose 24 novel cancer-critical splicing factors predicted from somatic mutations.

  10. A stochastic model for identifying differential gene pair co-expression patterns in prostate cancer progression

    Directory of Open Access Journals (Sweden)

    Mao Yu

    2009-07-01

    Full Text Available Abstract Background The identification of gene differential co-expression patterns between cancer stages is a newly developing method to reveal the underlying molecular mechanisms of carcinogenesis. Most researches of this subject lack an algorithm useful for performing a statistical significance assessment involving cancer progression. Lacking this specific algorithm is apparently absent in identifying precise gene pairs correlating to cancer progression. Results In this investigation we studied gene pair co-expression change by using a stochastic process model for approximating the underlying dynamic procedure of the co-expression change during cancer progression. Also, we presented a novel analytical method named 'Stochastic process model for Identifying differentially co-expressed Gene pair' (SIG method. This method has been applied to two well known prostate cancer data sets: hormone sensitive versus hormone resistant, and healthy versus cancerous. From these data sets, 428,582 gene pairs and 303,992 gene pairs were identified respectively. Afterwards, we used two different current statistical methods to the same data sets, which were developed to identify gene pair differential co-expression and did not consider cancer progression in algorithm. We then compared these results from three different perspectives: progression analysis, gene pair identification effectiveness analysis, and pathway enrichment analysis. Statistical methods were used to quantify the quality and performance of these different perspectives. They included: Re-identification Scale (RS and Progression Score (PS in progression analysis, True Positive Rate (TPR in gene pair analysis, and Pathway Enrichment Score (PES in pathway analysis. Our results show small values of RS and large values of PS, TPR, and PES; thus, suggesting that gene pairs identified by the SIG method are highly correlated with cancer progression, and highly enriched in disease-specific pathways. From

  11. SATB1 tethers multiple gene loci to reprogram expression profiledriving breast cancer metastasis

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    Han, Hye-Jung; Kohwi, Yoshinori; Kohwi-Shigematsu, Terumi

    2006-07-13

    Global changes in gene expression occur during tumor progression, as indicated by expression profiling of metastatic tumors. How this occurs is poorly understood. SATB1 functions as a genome organizer by folding chromatin via tethering multiple genomic loci and recruiting chromatin remodeling enzymes to regulate chromatin structure and expression of a large number of genes. Here we show that SATB1 is expressed at high levels in aggressive breast cancer cells, and is undetectable in non-malignant breast epithelial cells. Importantly, RNAi-mediated removal of SATB1 from highly-aggressive MDA-MB-231 cells altered the expression levels of over 1200 genes, restored breast-like acinar polarity in three-dimensional cultures, and prevented the metastastic phenotype in vivo. Conversely, overexpression of SATB1 in the less-aggressive breast cancer cell line Hs578T altered the gene expression profile and increased metastasis dramatically in vivo. Thus, SATB1 is a global regulator of gene expression in breast cancer cells, directly regulating crucial metastasis-associated genes, including ERRB2 (HER2/NEU), TGF-{beta}1, matrix metalloproteinase 3, and metastasin. The identification of SATB1 as a protein that re-programs chromatin organization and transcription profiles to promote breast cancer metastasis suggests a new model for metastasis and may provide means of therapeutic intervention.

  12. Stem cell-like gene expression in ovarian cancer predicts type II subtype and prognosis.

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    Matthew Schwede

    Full Text Available Although ovarian cancer is often initially chemotherapy-sensitive, the vast majority of tumors eventually relapse and patients die of increasingly aggressive disease. Cancer stem cells are believed to have properties that allow them to survive therapy and may drive recurrent tumor growth. Cancer stem cells or cancer-initiating cells are a rare cell population and difficult to isolate experimentally. Genes that are expressed by stem cells may characterize a subset of less differentiated tumors and aid in prognostic classification of ovarian cancer. The purpose of this study was the genomic identification and characterization of a subtype of ovarian cancer that has stem cell-like gene expression. Using human and mouse gene signatures of embryonic, adult, or cancer stem cells, we performed an unsupervised bipartition class discovery on expression profiles from 145 serous ovarian tumors to identify a stem-like and more differentiated subgroup. Subtypes were reproducible and were further characterized in four independent, heterogeneous ovarian cancer datasets. We identified a stem-like subtype characterized by a 51-gene signature, which is significantly enriched in tumors with properties of Type II ovarian cancer; high grade, serous tumors, and poor survival. Conversely, the differentiated tumors share properties with Type I, including lower grade and mixed histological subtypes. The stem cell-like signature was prognostic within high-stage serous ovarian cancer, classifying a small subset of high-stage tumors with better prognosis, in the differentiated subtype. In multivariate models that adjusted for common clinical factors (including grade, stage, age, the subtype classification was still a significant predictor of relapse. The prognostic stem-like gene signature yields new insights into prognostic differences in ovarian cancer, provides a genomic context for defining Type I/II subtypes, and potential gene targets which following further

  13. EFFECTS OF NEOADJUVANT CHEMOTHERAPY ON MDR1 AND MRP GENE EXPRESSION IN PRIMARY BREAST CANCER

    Institute of Scientific and Technical Information of China (English)

    刘杏娥; 孙晓东; 吴金民

    2004-01-01

    Objective: To investigate the effects of neoadjuvant chemotherapy on the expression of drug resistance genes,multidrug resistance-1 (MDR1) and multidrug resistance-associated protein (MRP), in patients with primary breast cancer. Methods: MDR1 and MRP expression were detected by semi-quantitative RT-PCR in 20 patients with primary breast cancer, before and after chemotherapy.Results: Before chemotherapy, MDR1 and MRP expression can be detected in 15 cases (75%) and 18 cases (90%)respectively. After chemotherapy, expression of MDR1 is not significantly different from that before chemotherapy, but expression of MRP is significantly different from that before chemotherapy. Conclusion: Expression of drug resistance gene MRP, but not MDR1, is enhanced in patients with primary breast cancer submitted to neoadjuvant chemotherapy.

  14. Prediction of metastasis from low-malignant breast cancer by gene expression profiling

    DEFF Research Database (Denmark)

    Thomassen, Mads; Tan, Qihua; Eiriksdottir, Freyja;

    2007-01-01

    Promising results for prediction of outcome in breast cancer have been obtained by genome wide gene expression profiling. Some studies have suggested that an extensive overtreatment of breast cancer patients might be reduced by risk assessment with gene expression profiling. A patient group hardly...... examined in these studies is the low-risk patients for whom outcome is very difficult to predict with currently used methods. These patients do not receive adjuvant treatment according to the guidelines of the Danish Breast Cancer Cooperative Group (DBCG). In this study, 26 tumors from low-risk patients...... demonstrated high cross-platform consistency of the classifiers. Higher performance of HUMAC32 was demonstrated among the low-malignant cancers compared with the 70-gene classifier. This suggests that although the metastatic potential to some extend is determined by the same genes in groups of tumors...

  15. The clinical impact of hypoxia-regulated gene expression in loco-regional gastroesophageal cancer

    DEFF Research Database (Denmark)

    Winther, M.; Alsner, J.; Tramm, T.

    2015-01-01

    Purpose/Objective: In a former study (1), the hypoxia gene expression classifier, developed in head and neck squamous cell carcinomas, was applied in 89 patients with loco-regional gastroesophageal cancer (GC). Analysis of the 15 genes was indicative of hypoxia being more profound in esophagus...... and display greater heterogeneity compared to AC. However, previous indications that the hypoxia classifier might hold prognostic significance in ESCC patients could not be confirmed. Ongoing work includes in vitro studies of esophageal cancer cell lines in order to identify alternative hypoxia induced genes...... and to further explore the prognostic value of hypoxia in patients with loco-regional gastroesophageal cancer. (Figure Presented)....

  16. Obesity and prostate cancer: gene expression signature of human periprostatic adipose tissue

    Directory of Open Access Journals (Sweden)

    Ribeiro Ricardo

    2012-09-01

    Full Text Available Abstract Background Periprostatic (PP adipose tissue surrounds the prostate, an organ with a high predisposition to become malignant. Frequently, growing prostatic tumor cells extend beyond the prostatic organ towards this fat depot. This study aimed to determine the genome-wide expression of genes in PP adipose tissue in obesity/overweight (OB/OW and prostate cancer patients. Methods Differentially expressed genes in human PP adipose tissue were identified using microarrays. Analyses were conducted according to the donors' body mass index characteristics (OB/OW versus lean and prostate disease (extra prostatic cancer versus organ confined prostate cancer versus benign prostatic hyperplasia. Selected genes with altered expression were validated by real-time PCR. Ingenuity Pathway Analysis (IPA was used to investigate gene ontology, canonical pathways and functional networks. Results In the PP adipose tissue of OB/OW subjects, we found altered expression of genes encoding molecules involved in adipogenic/anti-lipolytic, proliferative/anti-apoptotic, and mild immunoinflammatory processes (for example, FADS1, down-regulated, and LEP and ANGPT1, both up-regulated. Conversely, in the PP adipose tissue of subjects with prostate cancer, altered genes were related to adipose tissue cellular activity (increased cell proliferation/differentiation, cell cycle activation and anti-apoptosis, whereas a downward impact on immunity and inflammation was also observed, mostly related to the complement (down-regulation of CFH. Interestingly, we found that the microRNA MIRLET7A2 was overexpressed in the PP adipose tissue of prostate cancer patients. Conclusions Obesity and excess adiposity modified the expression of PP adipose tissue genes to ultimately foster fat mass growth. In patients with prostate cancer the expression profile of PP adipose tissue accounted for hypercellularity and reduced immunosurveillance. Both findings may be liable to promote a favorable

  17. Gene Expression Profiling in Hereditary, BRCA1-linked Breast Cancer: Preliminary Report

    Directory of Open Access Journals (Sweden)

    Dudaladava Volha

    2006-01-01

    Full Text Available Abstract Global analysis of gene expression by DNA microarrays is nowadays a widely used tool, especially relevant for cancer research. It helps the understanding of complex biology of cancer tissue, allows identification of novel molecular markers, reveals previously unknown molecular subtypes of cancer that differ by clinical features like drug susceptibility or general prognosis. Our aim was to compare gene expression profiles in breast cancer that develop against a background of inherited predisposing mutations versus sporadic breast cancer. In this preliminary study we analysed seven hereditary, BRCA1 mutation-linked breast cancer tissues and seven sporadic cases that were carefully matched by histopathology and ER status. Additionally, we analysed 6 samples of normal breast tissue. We found that while the difference in gene expression profiles between tumour tissue and normal breast can be easily recognized by unsupervised algorithms, the difference between those two types of tumours is more discrete. However, by supervised methods of data analysis, we were able to select a set of genes that may differentiate between hereditary and sporadic tumours. The most significant difference concerns genes that code for proteins engaged in regulation of transcription, cellular metabolism, signalling, proliferation and cell death. Microarray results for chosen genes (TOB1, SEPHS2 were validated by real-time RT-PCR.

  18. Hierarchy of Gene Expression as a Biomarker for Breast Cancer Prognosis

    Science.gov (United States)

    Chen, Man

    2013-03-01

    Cancer is a dedifferentiation of healthy cellular and genetic processes. At the same time, specific oncological pathways are activated in the cancer state. Cancer metastasis exposes cancer cells to a variety of microenvironments, in which physics of evolution suggests modularity is a relevant order parameter. We were thus motivated to examine the structure in gene and tissue networks of breast cancer patients. We studied the relation between metastasis and breast cancer network structure. We found that hierarchy of cancer networks distinguishes non-metastatic from metastatic patient populations. We also found that for cancer-associated genes, likelihood of metastasis is correlated with increased network hierarchy. Conversely for tissue networks using all gene data, reduced network structure is correlated with likelihood of metastasis. We suggest hierarchy of gene expression may be useful as a biomarker for breast cancer breast cancer metastasis and recurrence. For those patients with reduced structure, which is at least 5% of the patient population, this biomarker provides a strong signal for likelihood of cancer metastasis.

  19. Incorporating gene co-expression network in identification of cancer prognosis markers

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    Li Yang

    2010-05-01

    Full Text Available Abstract Background Extensive biomedical studies have shown that clinical and environmental risk factors may not have sufficient predictive power for cancer prognosis. The development of high-throughput profiling technologies makes it possible to survey the whole genome and search for genomic markers with predictive power. Many existing studies assume the interchangeability of gene effects and ignore the coordination among them. Results We adopt the weighted co-expression network to describe the interplay among genes. Although there are several different ways of defining gene networks, the weighted co-expression network may be preferred because of its computational simplicity, satisfactory empirical performance, and because it does not demand additional biological experiments. For cancer prognosis studies with gene expression measurements, we propose a new marker selection method that can properly incorporate the network connectivity of genes. We analyze six prognosis studies on breast cancer and lymphoma. We find that the proposed approach can identify genes that are significantly different from those using alternatives. We search published literature and find that genes identified using the proposed approach are biologically meaningful. In addition, they have better prediction performance and reproducibility than genes identified using alternatives. Conclusions The network contains important information on the functionality of genes. Incorporating the network structure can improve cancer marker identification.

  20. Highly and moderately aggressive mouse ovarian cancer cell lines exhibit differential gene expression

    Science.gov (United States)

    Zhang, Wensheng; Kale, Shubha P.; McFerrin, Harris; Davenport, Ian; Wang, Guangdi; Skripnikova, Elena; Li, Xiao-Lin; Bowen, Nathan J.; McDaniels, Leticia B; Meng, Yuan-Xiang; Polk, Paula; Liu, Yong-Yu; Zhang, Qian-Jin

    2017-01-01

    Patients with advanced epithelial ovarian cancer often experience disease recurrence after standard therapies, a critical factor in determining their five-year survival rate. Recent reports indicated that long-term or short-term survival is associated with varied gene expression of cancer cells. Thus, identification of novel prognostic biomarkers should be considered. Since the mouse genome is similar to the human genome, we explored potential prognostic biomarkers using two groups of mouse ovarian cancer cell lines (group 1: IG-10, IG-10pw, and IG-10pw/agar; group 2: IG-10 clones 2, 3, and 11) which display highly and moderately aggressive phenotypes in vivo. Mice injected with these cell lines have different survival time and rates, capacities of tumor, and ascites formations, reflecting different prognostic potentials. Using an Affymetrix Mouse Genome 430 2.0 Array, a total of 181 genes were differentially expressed (Pdeath. None of the genes from a set of the 72 genes overexpressed in the moderately aggressive cell lines had a function annotation in the David database. Our results suggested that the overexpressed MYC and 109 gene set represented highly aggressive ovarian cancer potential biomarkers while overexpressed AR and 72 gene set represented moderately aggressive ovarian cancer potential biomarkers. Based on our knowledge, the current study is first time to report the potential biomarkers relevant to different aggressive ovarian cancer. These potential biomarkers provide important information for investigating human ovarian cancer prognosis. PMID:26935058

  1. A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia

    Science.gov (United States)

    Liu, Xiaoming; Yang, Jiasheng; Zhang, Yi; Fang, Yun; Wang, Fayou; Wang, Jun; Zheng, Xiaoqi; Yang, Jialiang

    2016-03-01

    We have studied drug-response associated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encyclopedia data. More than 4,000 genes are inferred to be DRA for at least one drug, while the number of DRA genes for each drug varies dramatically from almost 0 to 1,226. Functional enrichment analysis shows that the DRA genes are significantly enriched in genes associated with cell cycle and plasma membrane. Moreover, there might be two patterns of DRA genes between genders. There are significantly shared DRA genes between male and female for most drugs, while very little DRA genes tend to be shared between the two genders for a few drugs targeting sex-specific cancers (e.g., PD-0332991 for breast cancer and ovarian cancer). Our analyses also show substantial difference for DRA genes between young and old samples, suggesting the necessity of considering the age effects for personalized medicine in cancers. Lastly, differential module and key driver analyses confirm cell cycle related modules as top differential ones for drug sensitivity. The analyses also reveal the role of TSPO, TP53, and many other immune or cell cycle related genes as important key drivers for DRA network modules. These key drivers provide new drug targets to improve the sensitivity of cancer therapy.

  2. Expression Analysis of ARMC3, a Testis-Specific Gene, in Breast Cancer Patients

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    Zare

    2016-02-01

    Full Text Available Background Breast cancer is the most prevalent cancer among women. Biomarkers that are expressed in tumors play a pivotal role in diagnosis and treatment. Cancer-testis (CT antigens are predominantly expressed in the testis and also have inappropriate expression in various tumor types. In the case of expression in tumors, they will be used as immunotherapy targets. Objectives Expression of ARMC3, a CT antigen, was analyzed to determine its potential as a tumor marker for breast cancer. Materials and Methods Eighty samples including 40 tumor samples and 40 normal adjacent tissue samples, were gathered from the ICBC biobank. RNA extraction was carried out on all samples. The extracted RNA was treated by DNaseI, after which cDNA was synthesized. Expression of ARMC3 with ACTB (internal control was studied using Real-Time PCR (polymerase chain reaction. Results Overall, 43.6% of tumors and 25.6% of normal adjacent tissues expressed ARMC3. ARMC3 was overexpressed in 41% of tumor samples (P = 0.00 and showed decreased expression in 46.2% (P = 0.00. Also, the expression of this gene in 12.8% of tumors was unchanged, which was statistically significant. It should be noted that all samples expressed ACTB gene. Conclusions Expression of ARMC3 in tumor samples and normal adjacent tissue is very important. The expression of this gene in tumor-adjacent tissue may be associated with the stage of cancer; it may be that these tissues are affected by epigenetic and oncogenic changes of breast cancer. Accordingly, aberrant expression of ARMC3 in tumor samples may be an attractive candidate for use as a tumor marker.

  3. Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer

    Science.gov (United States)

    Bhalla, Sherry; Chaudhary, Kumardeep; Kumar, Ritesh; Sehgal, Manika; Kaur, Harpreet; Sharma, Suresh; Raghava, Gajendra P. S.

    2017-01-01

    In this study, an attempt has been made to identify expression-based gene biomarkers that can discriminate early and late stage of clear cell renal cell carcinoma (ccRCC) patients. We have analyzed the gene expression of 523 samples to identify genes that are differentially expressed in the early and late stage of ccRCC. First, a threshold-based method has been developed, which attained a maximum accuracy of 71.12% with ROC 0.67 using single gene NR3C2. To improve the performance of threshold-based method, we combined two or more genes and achieved maximum accuracy of 70.19% with ROC of 0.74 using eight genes on the validation dataset. These eight genes include four underexpressed (NR3C2, ENAM, DNASE1L3, FRMPD2) and four overexpressed (PLEKHA9, MAP6D1, SMPD4, C11orf73) genes in the late stage of ccRCC. Second, models were developed using state-of-art techniques and achieved maximum accuracy of 72.64% and 0.81 ROC using 64 genes on validation dataset. Similar accuracy was obtained on 38 genes selected from subset of genes, involved in cancer hallmark biological processes. Our analysis further implied a need to develop gender-specific models for stage classification. A web server, CancerCSP, has been developed to predict stage of ccRCC using gene expression data derived from RNAseq experiments. PMID:28349958

  4. Identification of valid reference genes for gene expression studies of human stomach cancer by reverse transcription-qPCR

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    Lee Yeon-Su

    2010-05-01

    Full Text Available Abstract Background Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR is a powerful method for the analysis of gene expression. Target gene expression levels are usually normalized to a consistently expressed reference gene also known as internal standard, in the same sample. However, much effort has not been expended thus far in the search for reference genes suitable for the study of stomach cancer using RT-qPCR, although selection of optimal reference genes is critical for interpretation of results. Methods We assessed the suitability of six possible reference genes, beta-actin (ACTB, glyceraldehydes-3-phosphate dehydrogenase (GAPDH, hypoxanthine phosphoribosyl transferase 1 (HPRT1, beta-2-microglobulin (B2M, ribosomal subunit L29 (RPL29 and 18S ribosomal RNA (18S rRNA in 20 normal and tumor stomach tissue pairs of stomach cancer patients and 6 stomach cancer cell lines, by RT-qPCR. Employing expression stability analyses using NormFinder and geNorm algorithms we determined the order of performance of these reference genes and their variation values. Results This RT-qPCR study showed that there are statistically significant (p Conclusion This study validated RPL29 and RPL29-B2M as the best single reference genes and combination, for RT-qPCR analysis of 'all stomach tissues', and B2M and B2M-GAPDH as the best single reference gene and combination, for 'stomach cancer cell lines'. Use of these validated reference genes should provide more exact interpretation of differential gene expressions at transcription level in stomach cancer.

  5. Interaction between smoking history and gene expression levels impacts survival of breast cancer patients.

    Science.gov (United States)

    Andres, Sarah A; Bickett, Katie E; Alatoum, Mohammad A; Kalbfleisch, Theodore S; Brock, Guy N; Wittliff, James L

    2015-08-01

    In contrast to studies focused on cigarette smoking and risk of breast cancer occurrence, this study explored the influence of smoking on breast cancer recurrence and progression. The goal was to evaluate the interaction between smoking history and gene expression levels on recurrence and overall survival of breast cancer patients. Multivariable Cox proportional hazards models were fitted for 48 cigarette smokers, 50 non-smokers, and the total population separately to determine which gene expressions and gene expression/cigarette usage interaction terms were significant in predicting overall and disease-free survival in breast cancer patients. Using methods similar to Andres et al. (BMC Cancer 13:326, 2013a; Horm Cancer 4:208-221, 2013b), multivariable analyses revealed CENPN, CETN1, CYP1A1, IRF2, LECT2, and NCOA1 to be important predictors for both breast carcinoma recurrence and mortality among smokers. Additionally, COMT was important for recurrence, and NAT1 and RIPK1 were important for mortality. In contrast, only IRF2, CETN1, and CYP1A1 were significant for disease recurrence and mortality among non-smokers, with NAT2 additionally significant for survival. Analysis of interaction between smoking status and gene expression values using the combined samples revealed significant interactions between smoking status and CYP1A1, LECT2, and CETN1. Signatures consisting of 7-8 genes were highly predictive for breast cancer recurrence and overall survival among smokers, with median C-index values of 0.8 and 0.73 for overall survival and recurrence, respectively. In contrast, median C-index values for non-smokers was only 0.59. Hence, significant interactions between gene expression and smoking status can play a key role in predicting breast cancer patient outcomes.

  6. Differential expression of anterior gradient gene AGR2 in prostate cancer

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    Knutzen Laura A

    2010-12-01

    Full Text Available Abstract Background The protein AGR2 is a putative member of the protein disulfide isomerase family and was first identified as a homolog of the Xenopus laevis gene XAG-2. AGR2 has been implicated in a number of human cancers. In particular, AGR2 has previously been found to be one of several genes that encode secreted proteins showing increased expression in prostate cancer cells compared to normal prostatic epithelium. Methods Gene expression levels of AGR2 were examined in prostate cancer cells by microarray analysis. We further examined the relationship of AGR2 protein expression to histopathology and prostate cancer outcome on a population basis using tissue microarray technology. Results At the RNA and protein level, there was an increase in AGR2 expression in adenocarcinoma of the prostate compared to morphologically normal prostatic glandular epithelium. Using a tissue microarray, this enhanced AGR2 expression was seen as early as premalignant PIN lesions. Interestingly, within adenocarcinoma samples, there was a slight trend toward lower levels of AGR2 with increasing Gleason score. Consistent with this, relatively lower levels of AGR2 were highly predictive of disease recurrence in patients who had originally presented with high-stage primary prostate cancer (P = 0.009. Conclusions We have shown for the first time that despite an increase in AGR2 expression in prostate cancer compared to non-malignant cells, relatively lower levels of AGR2 are highly predictive of disease recurrence following radical prostatectomy.

  7. Time- and dose-dependent effects of curcumin on gene expression in human colon cancer cells

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    van Erk Marjan J

    2004-05-01

    Full Text Available Abstract Background Curcumin is a spice and a coloring food compound with a promising role in colon cancer prevention. Curcumin protects against development of colon tumors in rats treated with a colon carcinogen, in colon cancer cells curcumin can inhibit cell proliferation and induce apoptosis, it is an anti-oxidant and it can act as an anti-inflammatory agent. The aim of this study was to elucidate mechanisms and effect of curcumin in colon cancer cells using gene expression profiling. Methods Gene expression changes in response to curcumin exposure were studied in two human colon cancer cell lines, using cDNA microarrays with four thousand human genes. HT29 cells were exposed to two different concentrations of curcumin and gene expression changes were followed in time (3, 6, 12, 24 and 48 hours. Gene expression changes after short-term exposure (3 or 6 hours to curcumin were also studied in a second cell type, Caco-2 cells. Results Gene expression changes (>1.5-fold were found at all time points. HT29 cells were more sensitive to curcumin than Caco-2 cells. Early response genes were involved in cell cycle, signal transduction, DNA repair, gene transcription, cell adhesion and xenobiotic metabolism. In HT29 cells curcumin modulated a number of cell cycle genes of which several have a role in transition through the G2/M phase. This corresponded to a cell cycle arrest in the G2/M phase as was observed by flow cytometry. Functional groups with a similar expression profile included genes involved in phase-II metabolism that were induced by curcumin after 12 and 24 hours. Expression of some cytochrome P450 genes was downregulated by curcumin in HT29 and Caco-2 cells. In addition, curcumin affected expression of metallothionein genes, tubulin genes, p53 and other genes involved in colon carcinogenesis. Conclusions This study has extended knowledge on pathways or processes already reported to be affected by curcumin (cell cycle arrest, phase

  8. Stem cell and neurogenic gene-expression profiles link prostate basal cells to aggressive prostate cancer.

    Science.gov (United States)

    Zhang, Dingxiao; Park, Daechan; Zhong, Yi; Lu, Yue; Rycaj, Kiera; Gong, Shuai; Chen, Xin; Liu, Xin; Chao, Hsueh-Ping; Whitney, Pamela; Calhoun-Davis, Tammy; Takata, Yoko; Shen, Jianjun; Iyer, Vishwanath R; Tang, Dean G

    2016-02-29

    The prostate gland mainly contains basal and luminal cells constructed as a pseudostratified epithelium. Annotation of prostate epithelial transcriptomes provides a foundation for discoveries that can impact disease understanding and treatment. Here we describe a genome-wide transcriptome analysis of human benign prostatic basal and luminal epithelial populations using deep RNA sequencing. Through molecular and biological characterizations, we show that the differential gene-expression profiles account for their distinct functional properties. Strikingly, basal cells preferentially express gene categories associated with stem cells, neurogenesis and ribosomal RNA (rRNA) biogenesis. Consistent with this profile, basal cells functionally exhibit intrinsic stem-like and neurogenic properties with enhanced rRNA transcription activity. Of clinical relevance, the basal cell gene-expression profile is enriched in advanced, anaplastic, castration-resistant and metastatic prostate cancers. Therefore, we link the cell-type-specific gene signatures to aggressive subtypes of prostate cancer and identify gene signatures associated with adverse clinical features.

  9. Candidate luminal B breast cancer genes identified by genome, gene expression and DNA methylation profiling.

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    Stéphanie Cornen

    Full Text Available Breast cancers (BCs of the luminal B subtype are estrogen receptor-positive (ER+, highly proliferative, resistant to standard therapies and have a poor prognosis. To better understand this subtype we compared DNA copy number aberrations (CNAs, DNA promoter methylation, gene expression profiles, and somatic mutations in nine selected genes, in 32 luminal B tumors with those observed in 156 BCs of the other molecular subtypes. Frequent CNAs included 8p11-p12 and 11q13.1-q13.2 amplifications, 7q11.22-q34, 8q21.12-q24.23, 12p12.3-p13.1, 12q13.11-q24.11, 14q21.1-q23.1, 17q11.1-q25.1, 20q11.23-q13.33 gains and 6q14.1-q24.2, 9p21.3-p24,3, 9q21.2, 18p11.31-p11.32 losses. A total of 237 and 101 luminal B-specific candidate oncogenes and tumor suppressor genes (TSGs presented a deregulated expression in relation with their CNAs, including 11 genes previously reported associated with endocrine resistance. Interestingly, 88% of the potential TSGs are located within chromosome arm 6q, and seven candidate oncogenes are potential therapeutic targets. A total of 100 candidate oncogenes were validated in a public series of 5,765 BCs and the overexpression of 67 of these was associated with poor survival in luminal tumors. Twenty-four genes presented a deregulated expression in relation with a high DNA methylation level. FOXO3, PIK3CA and TP53 were the most frequent mutated genes among the nine tested. In a meta-analysis of next-generation sequencing data in 875 BCs, KCNB2 mutations were associated with luminal B cases while candidate TSGs MDN1 (6q15 and UTRN (6q24, were mutated in this subtype. In conclusion, we have reported luminal B candidate genes that may play a role in the development and/or hormone resistance of this aggressive subtype.

  10. Candidate luminal B breast cancer genes identified by genome, gene expression and DNA methylation profiling.

    Science.gov (United States)

    Cornen, Stéphanie; Guille, Arnaud; Adélaïde, José; Addou-Klouche, Lynda; Finetti, Pascal; Saade, Marie-Rose; Manai, Marwa; Carbuccia, Nadine; Bekhouche, Ismahane; Letessier, Anne; Raynaud, Stéphane; Charafe-Jauffret, Emmanuelle; Jacquemier, Jocelyne; Spicuglia, Salvatore; de The, Hugues; Viens, Patrice; Bertucci, François; Birnbaum, Daniel; Chaffanet, Max

    2014-01-01

    Breast cancers (BCs) of the luminal B subtype are estrogen receptor-positive (ER+), highly proliferative, resistant to standard therapies and have a poor prognosis. To better understand this subtype we compared DNA copy number aberrations (CNAs), DNA promoter methylation, gene expression profiles, and somatic mutations in nine selected genes, in 32 luminal B tumors with those observed in 156 BCs of the other molecular subtypes. Frequent CNAs included 8p11-p12 and 11q13.1-q13.2 amplifications, 7q11.22-q34, 8q21.12-q24.23, 12p12.3-p13.1, 12q13.11-q24.11, 14q21.1-q23.1, 17q11.1-q25.1, 20q11.23-q13.33 gains and 6q14.1-q24.2, 9p21.3-p24,3, 9q21.2, 18p11.31-p11.32 losses. A total of 237 and 101 luminal B-specific candidate oncogenes and tumor suppressor genes (TSGs) presented a deregulated expression in relation with their CNAs, including 11 genes previously reported associated with endocrine resistance. Interestingly, 88% of the potential TSGs are located within chromosome arm 6q, and seven candidate oncogenes are potential therapeutic targets. A total of 100 candidate oncogenes were validated in a public series of 5,765 BCs and the overexpression of 67 of these was associated with poor survival in luminal tumors. Twenty-four genes presented a deregulated expression in relation with a high DNA methylation level. FOXO3, PIK3CA and TP53 were the most frequent mutated genes among the nine tested. In a meta-analysis of next-generation sequencing data in 875 BCs, KCNB2 mutations were associated with luminal B cases while candidate TSGs MDN1 (6q15) and UTRN (6q24), were mutated in this subtype. In conclusion, we have reported luminal B candidate genes that may play a role in the development and/or hormone resistance of this aggressive subtype.

  11. Effect of Helicobacter pylori VacA on gene expression of gastric cancer cells

    Institute of Scientific and Technical Information of China (English)

    Hong-Tao Wang; Zhen-Hong Li; Jian-Ping Yuan; Wei Zhao; Xiao-Dong Shi; Shan-Qing Tong; Xiao-Kui Guo

    2005-01-01

    AIM: To determine the effect of Helicobacter pylori VacA on gene expression of gastric cancer cells.METHODS: Gene expression profile of a gastric cancer cell line, SGC7901, after challenged by VacA+ and VacA- Hpylori broth culture supernatants (BCS), was detected by the cDNA microarray technique. Cytoskeleton changes of SGC7901 and HeLa cells were observed through high-resolution laser scanning confocal microscopy.RESULTS: A total of 16 000 cDNA clones were detected.The percentage of genes with heterogeneous expression in SGC7901 cells challenged by VacA+ BCS reached 5%,compared with that challenged by Vac A- BCS. There were 865 genes/EST with 2-fold differential expression levels and 198 genes/EST with 3-fold differential expression levels.Host of these genes were involved in vital cell events including signal transduction, regulation of gene expression, cytoskeleton,apoptosis, stress response and inflammation, cell cycle and tumor development. Cells co-cultured with VacA+ BCS showed collapsed and disrupted microtubular cytoarchitecture.CONCLUSION: VacA+ BCS can disrupt cytoskeletal architecture,likely through affecting the expression of cytoskeleton-associated genes, directly induce the expression of tumor promoter-related genes and inhibit the expression of tumor suppressor genes, thus favoring the development of tumors.VacA+ BCS can also alter the expression of inflammation and stress response genes. This suggests that VacA may play an important role in the pathogenicity of H pylori.

  12. An improved method for detecting and delineating genomic regions with altered gene expression in cancer

    OpenAIRE

    2008-01-01

    Genomic regions with altered gene expression are a characteristic feature of cancer cells. We present a novel method for identifying such regions in gene expression maps. This method is based on total variation minimization, a classical signal restoration technique. In systematic evaluations, we show that our method combines top-notch detection performance with an ability to delineate relevant regions without excessive over-segmentation, making it a significant advance over existing methods. ...

  13. Expression of VEGF and semaphorin genes define subgroups of triple negative breast cancer.

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    R Joseph Bender

    Full Text Available Triple negative breast cancers (TNBC are difficult to treat due to a lack of targets and heterogeneity. Inhibition of angiogenesis is a promising therapeutic strategy, but has had limited effectiveness so far in breast cancer. To quantify heterogeneity in angiogenesis-related gene expression in breast cancer, we focused on two families--VEGFs and semaphorins--that compete for neuropilin co-receptors on endothelial cells. We compiled microarray data for over 2,600 patient tumor samples and analyzed the expression of VEGF- and semaphorin-related ligands and receptors. We used principal component analysis to identify patterns of gene expression, and clustering to group samples according to these patterns. We used available survival data to determine whether these clusters had prognostic as well as therapeutic relevance. TNBC was highly associated with dysregulation of VEGF- and semaphorin-related genes; in particular, it appeared that expression of both VEGF and semaphorin genes were altered in a pro-angiogenesis direction. A pattern of high VEGFA expression with low expression of secreted semaphorins was associated with 60% of triple-negative breast tumors. While all TNBC groups demonstrated poor prognosis, this signature also correlated with lower 5-year survival rates in non-TNBC samples. A second TNBC pattern, including high VEGFC expression, was also identified. These pro-angiogenesis signatures may identify cancers that are more susceptible to VEGF inhibition.

  14. Integrated functional, gene expression and genomic analysis for the identification of cancer targets.

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    Elizabeth Iorns

    Full Text Available The majority of new drug approvals for cancer are based on existing therapeutic targets. One approach to the identification of novel targets is to perform high-throughput RNA interference (RNAi cellular viability screens. We describe a novel approach combining RNAi screening in multiple cell lines with gene expression and genomic profiling to identify novel cancer targets. We performed parallel RNAi screens in multiple cancer cell lines to identify genes that are essential for viability in some cell lines but not others, suggesting that these genes constitute key drivers of cellular survival in specific cancer cells. This approach was verified by the identification of PIK3CA, silencing of which was selectively lethal to the MCF7 cell line, which harbours an activating oncogenic PIK3CA mutation. We combined our functional RNAi approach with gene expression and genomic analysis, allowing the identification of several novel kinases, including WEE1, that are essential for viability only in cell lines that have an elevated level of expression of this kinase. Furthermore, we identified a subset of breast tumours that highly express WEE1 suggesting that WEE1 could be a novel therapeutic target in breast cancer. In conclusion, this strategy represents a novel and effective strategy for the identification of functionally important therapeutic targets in cancer.

  15. Hormonal Modulation of Breast Cancer Gene Expression: Implications for Intrinsic Subtyping in Premenopausal Women

    Science.gov (United States)

    Bernhardt, Sarah M.; Dasari, Pallave; Walsh, David; Townsend, Amanda R.; Price, Timothy J.; Ingman, Wendy V.

    2016-01-01

    Clinics are increasingly adopting gene-expression profiling to diagnose breast cancer subtype, providing an intrinsic, molecular portrait of the tumor. For example, the PAM50-based Prosigna test quantifies expression of 50 key genes to classify breast cancer subtype, and this method of classification has been demonstrated to be superior over traditional immunohistochemical methods that detect proteins, to predict risk of disease recurrence. However, these tests were largely developed and validated using breast cancer samples from postmenopausal women. Thus, the accuracy of such tests has not been explored in the context of the hormonal fluctuations in estrogen and progesterone that occur during the menstrual cycle in premenopausal women. Concordance between traditional methods of subtyping and the new tests in premenopausal women is likely to depend on the stage of the menstrual cycle at which the tissue sample is taken and the relative effect of hormones on expression of genes versus proteins. The lack of knowledge around the effect of fluctuating estrogen and progesterone on gene expression in breast cancer patients raises serious concerns for intrinsic subtyping in premenopausal women, which comprise about 25% of breast cancer diagnoses. Further research on the impact of the menstrual cycle on intrinsic breast cancer profiling is required if premenopausal women are to benefit from the new technology of intrinsic subtyping. PMID:27896218

  16. Expression of the novel gene NM23-H1B in ovarian cancer

    Institute of Scientific and Technical Information of China (English)

    LI Wen; LIU Yan; JIN Zhi-Jun; FENG You-ji; XU Ling-ling

    2005-01-01

    Objective:To study the expression of the human novel gene NM23-H1B in ovarian cancer. Methods: Totally 24 samples from patients with epithelial ovarian tumor at different clinical stages and 4 from normal ovaries were examined for NM23-H1B mRNA expression by RT-PCR and Northern blot. Results: All samples expressed NM23-H1B mRNA through RT-PCR, while the level of expression in ovarian tumor was higher than that of normal ovary. The results of Northern blot showed that NM23-H1B was overexpressed in ovarian cancer while lowexpressed in normal ovary or low malignant potential (LMP). The level of expression at early stage cancer(stageⅠand Ⅱ) was higher than those in advanced cancer(stage Ⅲ and Ⅳ). In early stage carcinoma, the expression level was involved in the differentiation of tumor cell, and well-differentiated cancer expressed NM23-H1B mRNA in comparatively higher level. Conclusion: The novel gene NM23-N1B is closely correlated with the ovarian cancer.

  17. Differential expression of the UGT1A family of genes in stomach cancer tissues.

    Science.gov (United States)

    Cengiz, Beyhan; Yumrutas, Onder; Bozgeyik, Esra; Borazan, Ersin; Igci, Yusuf Ziya; Bozgeyik, Ibrahim; Oztuzcu, Serdar

    2015-08-01

    Uridine 5'-diphospho-glucuronosyltransferases (UGT) are the key players in the biotransformation of drugs, xenobiotics, and endogenous compounds. Particularly, UDP-glucuronosyltransferase 1A (UGT1A) participates in a wide range of biological and pharmacological processes and plays a critical role in the conjugation of endogenous and exogenous components. Thirteen alternative splicing products were produced from UGT1A gene locus designated as UGT1A1 and UGT1A3-10. A growing amount of evidence suggests that they have important roles in the carcinogenesis which is well documented by colon, liver, pancreas, and kidney cancer studies. Here, we report differential expressions of UGT1A genes in normal and tumor tissues of stomach cancer patients. Total numbers of 49 patients were enrolled for this study, and expression analysis of UGT1A genes was evaluated by the real-time PCR method. Accordingly, UGT1A1, UGT1A8, and UGT1A10 were found to be upregulated, and UGT1A3, UGT1A5, UGT1A7, and UGT1A9 were downregulated in stomach tumors. No expression changes were observed in UGT1A4. Also, UGT1A6 transcription variants were significantly upregulated in stomach cancer tissues compared to normal stomach tissue. Additionally, UGT1A7 gene showed highest expression in both normal and tumoral tissues, and interestingly, UGT1A7 gene expression was significantly reduced in stage II patients as compared to other patients. In conclusion, UGT1A genes are differentially expressed in normal and tumoral stomach tissues and expression changes of these genes may affect the development and progression of various types of cancer including the cancer of the stomach.

  18. Transcriptional and epigenetic regulation of KIAA1199 gene expression in human breast cancer.

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    Cem Kuscu

    Full Text Available Emerging evidence has demonstrated that upregulated expression of KIAA1199 in human cancer bodes for poor survival. The regulatory mechanism controlling KIAA1199 expression in cancer remains to be characterized. In the present study, we have isolated and characterized the human KIAA1199 promoter in terms of regulation of KIAA1199 gene expression. A 3.3 kb fragment of human genomic DNA containing the 5'-flanking sequence of the KIAA1199 gene possesses both suppressive and activating elements. Employing a deletion mutagenesis approach, a 1.4 kb proximal region was defined as the basic KIAA1199 promoter containing a TATA-box close to the transcription start site. A combination of 5'-primer extension study with 5'RACE DNA sequencing analysis revealed one major transcription start site that is utilized in the human KIAA1199 gene. Bioinformatics analysis suggested that the 1.4 kb KIAA1199 promoter contains putative activating regulatory elements, including activator protein-1(AP-1, Twist-1, and NF-κB sites. Sequential deletion and site-direct mutagenesis analysis demonstrated that the AP-1 and distal NF-κB sites are required for KIAA1199 gene expression. Further analyses using an electrophoretic mobility-shift assay and chromatin immunoprecipitation confirmed the requirement of these cis- and trans-acting elements in controlling KIAA1199 gene expression. Finally, we found that upregulated KIAA1199 expression in human breast cancer specimens correlated with hypomethylation of the regulatory region. Involvement of DNA methylation in regulation of KIAA1199 expression was recapitulated in human breast cancer cell lines. Taken together, our study unraveled the regulatory mechanisms controlling KIAA1199 gene expression in human cancer.

  19. Differential peripheral blood gene expression profile based on Her2 expression on primary tumors of breast cancer patients.

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    Oana Tudoran

    Full Text Available Breast cancer prognosis and treatment is highly dependent on the molecular features of the primary tumors. These tumors release specific molecules into the environment that trigger characteristic responses into the circulatory cells. In this study we investigated the expression pattern of 84 genes known to be involved in breast cancer signaling in the peripheral blood of breast cancer patients with ER-, PR- primary tumors. The patients were grouped according to Her2 expression on the primary tumors in Her2+ and Her2- cohorts. Transcriptional analysis revealed 15 genes to be differentially expressed between the two groups highlighting that Her2 signaling in primary tumors could be associated with specific blood gene expression. We found CCNA1 to be up-regulated, while ERBB2, RASSF1, CDH1, MKI67, GATA3, GLI1, SFN, PTGS2, JUN, NOTCH1, CTNNB1, KRT8, SRC, and HIC1 genes were down-regulated in the blood of triple negative breast cancer patients compared to Her2+ cohort. IPA network analysis predicts that the identified genes are interconnected and regulate each other. These genes code for cell cycle regulators, cell adhesion molecules, transcription factors or signal transducers that modulate immune signaling, several genes being also associated with cancer progression and treatment response. These results indicate an altered immune signaling in the peripheral blood of triple negative breast cancer patients. The involvement of the immune system is necessary in favorable treatment response, therefore these results could explain the low response rates observed for triple negative breast cancer patients.

  20. Gene Expression Signature TOPFOX Reflecting Chromosomal Instability Refines Prediction of Prognosis in Grade 2 Breast Cancer

    DEFF Research Database (Denmark)

    Szasz, A.; Li, Qiyuan; Sztupinszki, Z.

    2011-01-01

    were diagnosed between 1999–2002 at the Budai MA´ V Hospital. 187 formalinfixed, paraffin-embedded breast cancer samples were included in the qPCR-based measurement of expression of AURKA, FOXM1, TOP2A and TPX2 genes. The expression of the genes were correlated to recurrencefree survival (RFS......Purpose: To assess the ability of genes selected from those reflecting chromosomal instability to identify good and poor prognostic subsets of Grade 2 breast carcinomas. Methods: We selected genes for splitting grade 2 tumours into low and high grade type groups by using public databases. Patients...

  1. Expression of BCRP Gene in the Normal Lung Tissue and Lung Cancer

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Objective: To investigate the expression of novel multidrugresistance transporter (BCRP gene) from human MCF-7/AdrVp breast cancer cells in normal lung tissue and non-small lung cancer tissue. Methods: RNA was extracted immediately from fresh normal lung tissue and viable tumor tissue harvested from surgically resected specimens of non-small cell lung cancer patients. cDNA of BCRP gene was prepared by RT-PCR and was then amplified by PCR. cDNA products from those specimens were transferred to blotting membrane through electrophoresis and transferring technique and southern blot hybridization was eventually performed to detect the expression of BCRP gene. Results: RNA were extracted from 8 tumor tissue alone and 12 pairs of tumor tissue and normal lung tissue harvested from the same lung. Four patients' RNA samples with poor quality due to degrading were discarded. cDNA products of BCRP gene were obtained by RT-PCR and were then amplified by PCR in the remain 16 patients' RNA samples. Through southern blot hybridization, BCRP gene was found to be slightly expressed in various amounts in all normal lung tissue (10/10) and only in a half of tumor tissue samples (8/16). Conclusion: BCRP gene is slightly expressed in different amount in all normal lung tissue and only in a half of tumor tissue of non-small cell lung cancer patients. It is possible to induce it's overexpression and to develop multidrug resistance during chemotherapy if using anthracycline anticancer drugs.

  2. Integrated exon level expression analysis of driver genes explain their role in colorectal cancer.

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    Mohammad Azhar Aziz

    Full Text Available Integrated analysis of genomic and transcriptomic level changes holds promise for a better understanding of colorectal cancer (CRC biology. There is a pertinent need to explain the functional effect of genome level changes by integrating the information at the transcript level. Using high resolution cytogenetics array, we had earlier identified driver genes by 'Genomic Identification of Significant Targets In Cancer (GISTIC' analysis of paired tumour-normal samples from colorectal cancer patients. In this study, we analyze these driver genes at three levels using exon array data--gene, exon and network. Gene level analysis revealed a small subset to experience differential expression. These results were reinforced by carrying out separate differential expression analyses (SAM and LIMMA. ATP8B1 was found to be the novel gene associated with CRC that shows changes at cytogenetic, gene and exon levels. Splice index of 29 exons corresponding to 13 genes was found to be significantly altered in tumour samples. Driver genes were used to construct regulatory networks for tumour and normal groups. There were rearrangements in transcription factor genes suggesting the presence of regulatory switching. The regulatory pattern of AHR gene was found to have the most significant alteration. Our results integrate data with focus on driver genes resulting in highly enriched novel molecules that need further studies to establish their role in CRC.

  3. Significance of regenerating islet-derived type Ⅳ gene expression in gastroenterological cancers

    Institute of Scientific and Technical Information of China (English)

    Masakatsu Numata; Takashi Oshima

    2012-01-01

    The regenerating islet-derived members (Reg),a group of small secretory proteins,which are involved in cell proliferation or differentiation in digestive organs,are upregulated in several gastrointestinal cancers,functioning as trophic or antiapoptotic factors.Regenerating islet-derived type Ⅳ (RegⅣ),a member of the Reg gene family,has been reported to be overexpressed in gastroenterological cancers.RegⅣ overexpression in tumor cells has been associated with carcinogenesis,cell growth,survival and resistance to apoptosis.Cancer tissue expressing RegⅣ is generally associated with more malignant characteristics than that without such expression,and RegⅣ is considered a novel prognostic factor as well as diagnostic marker in some gastroenterological cancers.We previously investigated the expression levels of RegⅣ mRNA of 202 surgical colorectal cancer specimens with quantitative real-time reverse-transcriptase polymerase chain reaction and reported that a higher level of RegⅣ gene expression was a significant independent predictor of colorectal cancer.The biologic functions of RegⅣ protein in cancer tissue,associated with carcinogenesis,antiapoptosis and invasiveness,are being elucidated by molecular investigations using transfection techniques or neutralizing antibodies of RegⅣ,and the feasibility of antibody therapy targeting RegⅣ is being assessed.These studies may lead to novel therapeutic strategies for gastroenterological cancers expressing RegⅣ.This review article summarizes the current information related to biological functions as well as clinical importance of RegⅣ gene to clarify the significance of RegⅣexpression in gastroenterological cancers.

  4. THE CONSTRUCTION AND EXPRESSION OF THE MURINE SCFV GENE IN E. COLI AGAINST HUMAN CERVICAL CANCER

    Institute of Scientific and Technical Information of China (English)

    Wang Ying; Chen Wei; Li Xu

    2006-01-01

    Objective To obtain the gene of murine Single chain Fv fragment (ScFv) against human cervical cancer and to express it in E. coli. Methods The variable region gene fragments of the heavy and light chains, which were amplified respectively using recombinant DNA techniques from CsA125 hybridoma cells, were spliced together through a flexible linker to ScFv against human cervical cancer. The ScFv genes were then cloned into expression vector pCANTAB 5E and expressed in E. coli HB2151 and TG1 respectively. The soluble ScFv were characterized by SDS PAGE and Western blot. The antigen-binding activities of the soluble and phage displayed ScFv were assayed by ELISA and cell immunohistochemical analysis. Results The expressed ScFv antibodies were soluble and phage displayed. The soluble ScFv secreted and expressed in E. coli HB2151 induced by IPTG were confirmed with SDS-PAGE, Western blot and ELISA. The specific binding capacity of the soluble and phage displayed ScFv to the surface associated antigen of human cervical cancer cell line was further confirmed with immunohistochemical studies. Conclusion The soluble and phage displayed ScFv expressed in E. coli against human cervical cancer showed high, specific affinity for the cervical cancer cell line surface associated antigen.

  5. Study of integrated heterogeneous data reveals prognostic power of gene expression for breast cancer survival.

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    Richard E Neapolitan

    Full Text Available Studies show that thousands of genes are associated with prognosis of breast cancer. Towards utilizing available genetic data, efforts have been made to predict outcomes using gene expression data, and a number of commercial products have been developed. These products have the following shortcomings: 1 They use the Cox model for prediction. However, the RSF model has been shown to significantly outperform the Cox model. 2 Testing was not done to see if a complete set of clinical predictors could predict as well as the gene expression signatures.We address these shortcomings. The METABRIC data set concerns 1981 breast cancer tumors. Features include 21 clinical features, expression levels for 16,384 genes, and survival. We compare the survival prediction performance of the Cox model and the RSF model using the clinical data and the gene expression data to their performance using only the clinical data. We obtain significantly better results when we used both clinical data and gene expression data for 5 year, 10 year, and 15 year survival prediction. When we replace the gene expression data by PAM50 subtype, our results are significant only for 5 year and 15 year prediction. We obtain significantly better results using the RSF model over the Cox model. Finally, our results indicate that gene expression data alone may predict long-term survival.Our results indicate that we can obtain improved survival prediction using clinical data and gene expression data compared to prediction using only clinical data. We further conclude that we can obtain improved survival prediction using the RSF model instead of the Cox model. These results are significant because by incorporating more gene expression data with clinical features and using the RSF model, we could develop decision support systems that better utilize heterogeneous information to improve outcome prediction and decision making.

  6. How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.

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    Justin Werfel

    Full Text Available Changes in extracellular matrix (ECM structure or mechanics can actively drive cancer progression; however, the underlying mechanism remains unknown. Here we explore whether this process could be mediated by changes in cell shape that lead to increases in genetic noise, given that both factors have been independently shown to alter gene expression and induce cell fate switching. We do this using a computer simulation model that explores the impact of physical changes in the tissue microenvironment under conditions in which physical deformation of cells increases gene expression variability among genetically identical cells. The model reveals that cancerous tissue growth can be driven by physical changes in the microenvironment: when increases in cell shape variability due to growth-dependent increases in cell packing density enhance gene expression variation, heterogeneous autonomous growth and further structural disorganization can result, thereby driving cancer progression via positive feedback. The model parameters that led to this prediction are consistent with experimental measurements of mammary tissues that spontaneously undergo cancer progression in transgenic C3(1-SV40Tag female mice, which exhibit enhanced stiffness of mammary ducts, as well as progressive increases in variability of cell-cell relations and associated cell shape changes. These results demonstrate the potential for physical changes in the tissue microenvironment (e.g., altered ECM mechanics to induce a cancerous phenotype or accelerate cancer progression in a clonal population through local changes in cell geometry and increased phenotypic variability, even in the absence of gene mutation.

  7. Matrix metalloproteinase gene expressions might be oxidative stress targets in gastric cancer cell lines

    Institute of Scientific and Technical Information of China (English)

    Salih Gencer; Anil Cebeci; Meliha Burcu Irmak-Yazicioglu

    2013-01-01

    Objective:Oxidative stress is linked to increased risk of gastric cancer and matrix metalloproteinases (MMPs) are important in the invasion and metastasis of gastric cancer.We aimed to analyze the effect of the accumulation of oxidative stress in the gastric cancer MKN-45 and 23132/87 cells following hydrogen peroxide (H2O2) exposure on the expression patterns of MMP-1,MMP-3,MMP-7,MMP-9,MMP-10,MMP-11,MMP-12,MMP-14,MMP-15,MMP-17,MMP-23,MMP-28,and β-catenin genes.Methods:The mRNA transcripts in the cells were determined by RT-PCR.Following H2O2 exposure,oxidative stress in the viable cells was analyzed by 2',7'-dichlorofluorescein diacetate (DCFH-DA).Caffeic acid phenethyl ester (CAPE) was used to eliminate oxidative stress and the consequence of H2O2 exposure and its removal on the expressions of the genes were evaluated by quantitative real-time PCR.Results:The expressions of MMP-1,MMP-7,MMP-14,MMP-15,MMP-17 and β-catenin in MKN-45 cells and only the expression of MMP-15 in 23132/87 cells were increased.Removal of the oxidative stress resulted in decrease in the expressions of MMP genes of which the expressions were increased after H2O2 exposure.β-catenin,a transcription factor for many genes including MMPs,also displayed decreased levels of expression in both of the cell lines following CAPE treatment.Conclusions:Our data suggest that there is a remarkable link between the accumulation of oxidative stress and the increased expressions of MMP genes in the gastric cancer cells and MMPs should be considered as potential targets of therapy in gastric cancers due to its continuous exposure to oxidative stress.

  8. EFFECTS OF MUTATION AND EXPRESSION OF PTEN GENE mRNA ON TUMORIGENESIS AND PROGRESSION OF EPITHELIAL OVARIAN CANCER

    Institute of Scientific and Technical Information of China (English)

    陈颖; 郑华川; 杨雪飞; 孙丽梅; 辛彦

    2004-01-01

    Objective To investigate the mutation and expression of tumor suppressor gene-PTEN mRNA and explore their roles in tumorigenesis and progression of ovarian cancer. Methods Mutated exon 5 of PTEN gene was examined in normal ovary (n = 5), ovarian cyst (n =5), ovarian borderline tumor (n=9), epithelial ovarian cancer (n=60), and ovarian cancer cell line (n= 1)by polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP). mRNA expression of PTEN gene was evaluated in corresponding tissues and cell line by reverse transcription polymerase chain reaction(RT-PCR). The mutation and mRNA expression of PTEN gene were compared with clinicopathological features of ovarian cancer. Results Mutated exon 5 of PTEN gene was detected only in 5 (7.1%) cases of epithelial ovarian cancer. mRNA expression level of PTEN gene in ovarian borderline tumor or ovarian cancer was lower than that in normal ovary or ovarian cyst (P < 0.05). The level of PTEN gene mRNA expression was negatively correlated with clinicopathological staging of ovarian cancer, whereas positively correlated with histological differentiation (P < 0.05). mRNA expression level of PTEN gene in ovarian endometrioid cancer was significantly lower than that in ovarian serous or mucinous cancer (P < 0.05). Conclusions Mutation of PTEN gene occurs in ovarian cancer. Down-regulated expression of PTEN is probably an important molecular event in tumorigenesis of ovarian cancer. Abnormal expression of PTEN gene is involved in progression of ovarian cancer. Reduced expression of PTEN gene is closely associated with tumorigenesis and pathobiological behaviors of ovarian endometrioid cancer.

  9. Astrocyte elevated gene-1 induces breast cancer proliferation and invasion through upregulating HER2/neu expression

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xin; ZHANG Ning; ZHANG Mei-xin

    2011-01-01

    Background Astrocyte elevated gene-1 (AEG-1),primarily identified as a late response gene induced by HIV-1 infection,plays multiple roles in the process of oncogenesis.This novel gene has been demonstrated to be involved in the several potent carcinogenic pathways,including PI3K/Akt pathway,nuclear factor (NF)-KB pathway,and Wnt/β-catenin pathway.Although the function of AEG-1 has been intensively investigated in recent years,the molecular mechanism underlying its oncogenic role is largely unknown.The aim of this research was to explore the potential function of AEG-1 in breast cancer development and progression.Methods AEG-1 was ectopically overexpressed in breast cancer MCF-7 cells and its biological effects on the proliferation and invasion of MCF-7 cells were studied by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and invasion assays.The expression of HER2/neu,a crucial oncogene involving in breast cancer carcinogenesis,was also determined.Results Overexpression of the AEG-1 promoted the proliferation and invasion ability of breast cancer cells,and upregulated the expression of HER2/neu,a crucial oncogene involving in breast cancer carcinogenesis.Conclusion AEG-1 might facilitate the proliferation and invasion of breast cancer cells by upregulating HER2/neu expression,which provides a potential target for breast cancer therapy.

  10. Identification of genes with altered expression in medullary breast cancer vs. ductal breast cancer and normal breast epithelia

    DEFF Research Database (Denmark)

    Gjerstorff, Morten; Benoit, Vivian; Laenkholm, Anne-Vibeke

    2006-01-01

    to both immunological and endogenous cellular factors, although little is known about the distinct biology of MCB that may contribute to the improved outcome of MCB patients. To identify candidate genes, we performed gene array expression analysis of cell lines of MCB, ductal breast cancer and normal......Medullary breast cancer (MCB) is a morphologically and biologically distinct subtype that, despite cytologically highly malignant characteristics, has a favorable prognosis compared to the more common infiltrating ductal breast carcinoma. MCB metastasizes less frequently, which has been attributed......) gene families, Vav1, monoglyceride lipase and NADP+-dependent malic enzyme, exhibited altered expression in MCB vs. ductal breast cancer, and the differences for some of these genes were confirmed on an extended panel of cell lines by quantitative PCR. Immunohistochemical analysis further established...

  11. Identification of genes with altered expression in medullary breast cancer vs. ductal breast cancer and normal breast epithelia

    DEFF Research Database (Denmark)

    Gjerstorff, Morten F; Benoit, Vivian M; Laenkholm, Anne-Vibeke;

    2006-01-01

    Medullary breast cancer (MCB) is a morphologically and biologically distinct subtype that, despite cytologically highly malignant characteristics, has a favorable prognosis compared to the more common infiltrating ductal breast carcinoma. MCB metastasizes less frequently, which has been attributed...... to both immunological and endogenous cellular factors, although little is known about the distinct biology of MCB that may contribute to the improved outcome of MCB patients. To identify candidate genes, we performed gene array expression analysis of cell lines of MCB, ductal breast cancer and normal......) gene families, Vav1, monoglyceride lipase and NADP+-dependent malic enzyme, exhibited altered expression in MCB vs. ductal breast cancer, and the differences for some of these genes were confirmed on an extended panel of cell lines by quantitative PCR. Immunohistochemical analysis further established...

  12. Gene expression profiling in cervical cancer: identification of novel markers for disease diagnosis and therapy.

    LENUS (Irish Health Repository)

    Martin, Cara M

    2012-02-01

    Cervical cancer, a potentially preventable disease, remains the second most common malignancy in women worldwide. Human papillomavirus is the single most important etiological agent in cervical cancer. HPV contributes to neoplastic progression through the action of two viral oncoproteins E6 and E7, which interfere with critical cell cycle pathways, p53, and retinoblastoma. However, evidence suggests that HPV infection alone is insufficient to induce malignant changes and other host genetic variations are important in the development of cervical cancer. Advances in molecular biology and high throughput gene expression profiling technologies have heralded a new era in biomarker discovery and identification of molecular targets related to carcinogenesis. These advancements have improved our understanding of carcinogenesis and will facilitate screening, early detection, management, and personalised targeted therapy. In this chapter, we have described the use of high density microarrays to assess gene expression profiles in cervical cancer. Using this approach we have identified a number of novel genes which are differentially expressed in cervical cancer, including several genes involved in cell cycle regulation. These include p16ink4a, MCM 3 and 5, CDC6, Geminin, Cyclins A-D, TOPO2A, CDCA1, and BIRC5. We have validated expression of mRNA using real-time PCR and protein by immunohistochemistry.

  13. Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures

    Directory of Open Access Journals (Sweden)

    Liu Yufeng

    2011-01-01

    Full Text Available Abstract Background Multiple breast cancer gene expression profiles have been developed that appear to provide similar abilities to predict outcome and may outperform clinical-pathologic criteria; however, the extent to which seemingly disparate profiles provide additive prognostic information is not known, nor do we know whether prognostic profiles perform equally across clinically defined breast cancer subtypes. We evaluated whether combining the prognostic powers of standard breast cancer clinical variables with a large set of gene expression signatures could improve on our ability to predict patient outcomes. Methods Using clinical-pathological variables and a collection of 323 gene expression "modules", including 115 previously published signatures, we build multivariate Cox proportional hazards models using a dataset of 550 node-negative systemically untreated breast cancer patients. Models predictive of pathological complete response (pCR to neoadjuvant chemotherapy were also built using this approach. Results We identified statistically significant prognostic models for relapse-free survival (RFS at 7 years for the entire population, and for the subgroups of patients with ER-positive, or Luminal tumors. Furthermore, we found that combined models that included both clinical and genomic parameters improved prognostication compared with models with either clinical or genomic variables alone. Finally, we were able to build statistically significant combined models for pathological complete response (pCR predictions for the entire population. Conclusions Integration of gene expression signatures and clinical-pathological factors is an improved method over either variable type alone. Highly prognostic models could be created when using all patients, and for the subset of patients with lymph node-negative and ER-positive breast cancers. Other variables beyond gene expression and clinical-pathological variables, like gene mutation status or DNA

  14. Identification of candidate growth promoting genes in ovarian cancer through integrated copy number and expression analysis.

    Science.gov (United States)

    Ramakrishna, Manasa; Williams, Louise H; Boyle, Samantha E; Bearfoot, Jennifer L; Sridhar, Anita; Speed, Terence P; Gorringe, Kylie L; Campbell, Ian G

    2010-04-08

    Ovarian cancer is a disease characterised by complex genomic rearrangements but the majority of the genes that are the target of these alterations remain unidentified. Cataloguing these target genes will provide useful insights into the disease etiology and may provide an opportunity to develop novel diagnostic and therapeutic interventions. High resolution genome wide copy number and matching expression data from 68 primary epithelial ovarian carcinomas of various histotypes was integrated to identify genes in regions of most frequent amplification with the strongest correlation with expression and copy number. Regions on chromosomes 3, 7, 8, and 20 were most frequently increased in copy number (> 40% of samples). Within these regions, 703/1370 (51%) unique gene expression probesets were differentially expressed when samples with gain were compared to samples without gain. 30% of these differentially expressed probesets also showed a strong positive correlation (r > or =0.6) between expression and copy number. We also identified 21 regions of high amplitude copy number gain, in which 32 known protein coding genes showed a strong positive correlation between expression and copy number. Overall, our data validates previously known ovarian cancer genes, such as ERBB2, and also identified novel potential drivers such as MYNN, PUF60 and TPX2.

  15. Identification of candidate growth promoting genes in ovarian cancer through integrated copy number and expression analysis.

    Directory of Open Access Journals (Sweden)

    Manasa Ramakrishna

    Full Text Available Ovarian cancer is a disease characterised by complex genomic rearrangements but the majority of the genes that are the target of these alterations remain unidentified. Cataloguing these target genes will provide useful insights into the disease etiology and may provide an opportunity to develop novel diagnostic and therapeutic interventions. High resolution genome wide copy number and matching expression data from 68 primary epithelial ovarian carcinomas of various histotypes was integrated to identify genes in regions of most frequent amplification with the strongest correlation with expression and copy number. Regions on chromosomes 3, 7, 8, and 20 were most frequently increased in copy number (> 40% of samples. Within these regions, 703/1370 (51% unique gene expression probesets were differentially expressed when samples with gain were compared to samples without gain. 30% of these differentially expressed probesets also showed a strong positive correlation (r > or =0.6 between expression and copy number. We also identified 21 regions of high amplitude copy number gain, in which 32 known protein coding genes showed a strong positive correlation between expression and copy number. Overall, our data validates previously known ovarian cancer genes, such as ERBB2, and also identified novel potential drivers such as MYNN, PUF60 and TPX2.

  16. Expression of Some Genes Involved in Epigenetic in Breast Cancer Cell Lines: The Effect of Quercetin

    Directory of Open Access Journals (Sweden)

    fahime mohamadian

    2015-11-01

    Full Text Available Background & Objectives: Breast cancer is one of the most common cancers among women. Incorrect pattern of gene expression involved in epigenetic including APOBEC3B, DNMT-1, and TET-1 can develop breast cancer. Quercetin is a natural flavonoid with antioxidant and anti-cancer properties that have been reported in other studies. To investigate the effect mechanism of quercetin, this study examined the effect of quercetin on the expression of genes which were referred to in two classes of breast cancer cell lines. Materials & Methods: Cell lines including MCF-7 and MDA-MB-453 in separate boxes in the control group and the treated groups with two dosages of 50 and 100 mm of quercetin were cultured for 24 and 48 hours, respectively. RNA was extracted from the cells and then was converted to cDNA. Real-time PCR was used for APOBEC3B, DNMT_1, and TET-1 expression. Results: The results showed that quercetin had conflicting results after 24 hours in two cell lines as there was a decrease in the gene expression of APQBEC3B and an increase in that of DNMT-1 in MCF-7 cell line. In contrast, the cell line of MDA-MB-453, APOBEC3B, and DNMT-1 gene expression increased. While the 48-hour results showed that quercetin reduced the gene expression of APOBEC3B and DNMT-1 and increased that of the TET-1 in both cell lines. Conclusion: Due to the satisfactory effects of quercetin on breast cancer cells after 48 hours, these effects can be probably applied through epigenetic mechanisms. However, the final decision needs further investigation.

  17. Gene expression profile differences in high and low metastatic human ovarian cancer cell lines by gene chip

    Institute of Scientific and Technical Information of China (English)

    许沈华; 牟瀚舟; 吕桂泉; 朱赤红; 羊正炎; 高永良; 楼洪坤; 刘祥麟; 程勇; 杨文

    2002-01-01

    Objectives To study the difference between gene expressions of high (H0-8910PM) and low (HO-8910) metastatic human ovarian carcinoma cell lines and screen novel associated genes by cDNA microarray. Methods cDNA retro-transcribed from equal quantities of mRNA derived from high and low metastatic tumor cells or normal ovarian tissues were labeled with Cy5 and Cy3 fluorescein as probes. The mixed probe was hybridized with two pieces of BioDoor 4096 double dot human whole gene chip and scanned with a ScanArray 3000 laser scanner. The acquired image was analyzed by ImaGene 3.0 software. Results A total of 355 genes with expression levels more than 3 times larger were found by comparing the HO-8910 cell with normal ovarian epithelial cells. A total of 323 genes with expression levels more than 3 times larger in HO-8910PM cells compared to normal ovarian epithelium cells were also detected. A total of 165 genes whose expression levels were more than two times those of HO-8910PM cells compared to their mother cell line (HO-8910) were detected. Twenty-one genes with expression levels >3 times were found from comparison of these two tumor cell lines.Conclusions cDNA microarray techniques are effective in screening differential gene expression between two human ovarian cancer cell lines (H0-8910PM; HO-8910) and normal ovarian epithelial cells. These genes may be related to the genesis and development of ovarian carcinoma. Analysis of the human ovarian cancer gene expression profile with cDNA microarray may help in gene diagnosis, treatment and prevention.

  18. Differential expression of a novel colorectal cancer differentiation-related gene in colorectal cancer

    Institute of Scientific and Technical Information of China (English)

    Xing-Guo Li; Jin-Dan Song; Yun-Qing Wang

    2001-01-01

    AIM To investigate SBA2 expression in CRC cell lines snd surgical specimens of CRC and sutologous healthy mucosa. METHODS Reverse transcription-polymerase chain reaction (RT-PCR) was used for relative quantification of SBA2 mRNA levels in 4 human CRC cell lines with different grades of differentiation and 30 clinical samples.Normalization of the results was achieved by simultaneous amplification of β-actin as an internal control. RESULTS In the exponential range of amplification, fairly good linearity demonstrated identical amplification efficiency for SBA2 and β-actin (82%). Markedly lower levels of SBA2 mRNA were detectable in tumors, as compared with the coupled normal counterparts ( P < 0.01 ). SBA2 expression was significantly (0.01 < P <0.05) correlated with the grade of differentiation in CRC,with relatively higher levels in well-differentiated samples and lower in poorly-differentiated cases. Of the 9 cases with lymph nodes affected, 78% (7/9) had reduced SBA2 mRNA expression in contrast to 24% (5/21) in nonmetastasis samples (0.01 < P < 0.05 ). CONCLUSION SBA2 gene might be a promising novel biomarker of cell differentiation in colorectal cancer and its biological features need further studies.

  19. Gene expression signature in organized and growth arrested mammaryacini predicts good outcome in breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Fournier, Marcia V.; Martin, Katherine J.; Kenny, Paraic A.; Xhaja, Kris; Bosch, Irene; Yaswen, Paul; Bissell, Mina J.

    2006-02-08

    To understand how non-malignant human mammary epithelial cells (HMEC) transit from a disorganized proliferating to an organized growth arrested state, and to relate this process to the changes that occur in breast cancer, we studied gene expression changes in non-malignant HMEC grown in three-dimensional cultures, and in a previously published panel of microarray data for 295 breast cancer samples. We hypothesized that the gene expression pattern of organized and growth arrested mammary acini would share similarities with breast tumors with good prognoses. Using Affymetrix HG-U133A microarrays, we analyzed the expression of 22,283 gene transcripts in two HMEC cell lines, 184 (finite life span) and HMT3522 S1 (immortal non-malignant), on successive days post-seeding in a laminin-rich extracellular matrix assay. Both HMECs underwent growth arrest in G0/G1 and differentiated into polarized acini between days 5 and 7. We identified gene expression changes with the same temporal pattern in both lines. We show that genes that are significantly lower in the organized, growth arrested HMEC than in their proliferating counterparts can be used to classify breast cancer patients into poor and good prognosis groups with high accuracy. This study represents a novel unsupervised approach to identifying breast cancer markers that may be of use clinically.

  20. Lineage relationship of prostate cancer cell types based on gene expression

    Directory of Open Access Journals (Sweden)

    Ware Carol B

    2011-05-01

    Full Text Available Abstract Background Prostate tumor heterogeneity is a major factor in disease management. Heterogeneity could be due to multiple cancer cell types with distinct gene expression. Of clinical importance is the so-called cancer stem cell type. Cell type-specific transcriptomes are used to examine lineage relationship among cancer cell types and their expression similarity to normal cell types including stem/progenitor cells. Methods Transcriptomes were determined by Affymetrix DNA array analysis for the following cell types. Putative prostate progenitor cell populations were characterized and isolated by expression of the membrane transporter ABCG2. Stem cells were represented by embryonic stem and embryonal carcinoma cells. The cancer cell types were Gleason pattern 3 (glandular histomorphology and pattern 4 (aglandular sorted from primary tumors, cultured prostate cancer cell lines originally established from metastatic lesions, xenografts LuCaP 35 (adenocarcinoma phenotype and LuCaP 49 (neuroendocrine/small cell carcinoma grown in mice. No detectable gene expression differences were detected among serial passages of the LuCaP xenografts. Results Based on transcriptomes, the different cancer cell types could be clustered into a luminal-like grouping and a non-luminal-like (also not basal-like grouping. The non-luminal-like types showed expression more similar to that of stem/progenitor cells than the luminal-like types. However, none showed expression of stem cell genes known to maintain stemness. Conclusions Non-luminal-like types are all representatives of aggressive disease, and this could be attributed to the similarity in overall gene expression to stem and progenitor cell types.

  1. Gene expression profiling and non-small-cell lung cancer: where are we now?

    Science.gov (United States)

    Santos, Edgardo S; Blaya, Marcelo; Raez, Luis E

    2009-05-01

    Despite new developments in molecular techniques and better knowledge on lung cancer tumor biology, many genetic alterations associated with the development and progression of lung carcinogenesis still remain unclear. Although the development of targeted agents has improved response rates and survival, lung cancer has a very high mortality rate, even for early stages. Thus, there is a greater need for other mechanisms or technologies that may help us diagnose, predict, and treat patients with lung cancer in a more effective way. One of these technologies has been the use of genomics. Some of the available genomic technologies include single-nucleotide polymorphism analysis, high-throughput capillary sequencing, serial analysis of gene expression, and gene expression arrays. DNA microarray analysis is capable of discovering changes in DNA expression within the neoplastic tumor. Thus, gene expression array could help us to decipher the complexity and interaction of different oncogenic pathways and, hence, could contribute to the selection of better targeted agents on an individual basis rather than a general and nonspecific approach as it has been done for many decades. Several studies initiated a few years ago have started to produce fruitful results. Herein, we review the role of gene expression profiling in lung cancer as a diagnostic tool, predictive and prognostic biomarker, and its potential use for a "personalized" medicine in the years to come.

  2. Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data

    Directory of Open Access Journals (Sweden)

    He Miao

    2009-12-01

    Full Text Available Abstract Background More studies based on gene expression data have been reported in great detail, however, one major challenge for the methodologists is the choice of classification methods. The main purpose of this research was to compare the performance of linear discriminant analysis (LDA and its modification methods for the classification of cancer based on gene expression data. Methods The classification performance of linear discriminant analysis (LDA and its modification methods was evaluated by applying these methods to six public cancer gene expression datasets. These methods included linear discriminant analysis (LDA, prediction analysis for microarrays (PAM, shrinkage centroid regularized discriminant analysis (SCRDA, shrinkage linear discriminant analysis (SLDA and shrinkage diagonal discriminant analysis (SDDA. The procedures were performed by software R 2.80. Results PAM picked out fewer feature genes than other methods from most datasets except from Brain dataset. For the two methods of shrinkage discriminant analysis, SLDA selected more genes than SDDA from most datasets except from 2-class lung cancer dataset. When comparing SLDA with SCRDA, SLDA selected more genes than SCRDA from 2-class lung cancer, SRBCT and Brain dataset, the result was opposite for the rest datasets. The average test error of LDA modification methods was lower than LDA method. Conclusions The classification performance of LDA modification methods was superior to that of traditional LDA with respect to the average error and there was no significant difference between theses modification methods.

  3. Protein Sialylation Regulates a Gene Expression Signature that Promotes Breast Cancer Cell Pathogenicity.

    Science.gov (United States)

    Kohnz, Rebecca A; Roberts, Lindsay S; DeTomaso, David; Bideyan, Lara; Yan, Peter; Bandyopadhyay, Sourav; Goga, Andrei; Yosef, Nir; Nomura, Daniel K

    2016-08-19

    Many mechanisms have been proposed for how heightened aerobic glycolytic metabolism fuels cancer pathogenicity, but there are still many unexplored pathways. Here, we have performed metabolomic profiling to map glucose incorporation into metabolic pathways upon transformation of mammary epithelial cells by 11 commonly mutated human oncogenes. We show that transformation of mammary epithelial cells by oncogenic stimuli commonly shunts glucose-derived carbons into synthesis of sialic acid, a hexosamine pathway metabolite that is converted to CMP-sialic acid by cytidine monophosphate N-acetylneuraminic acid synthase (CMAS) as a precursor to glycoprotein and glycolipid sialylation. We show that CMAS knockdown leads to elevations in intracellular sialic acid levels, a depletion of cellular sialylation, and alterations in the expression of many cancer-relevant genes to impair breast cancer pathogenicity. Our study reveals the heretofore unrecognized role of sialic acid metabolism and protein sialylation in regulating the expression of genes that maintain breast cancer pathogenicity.

  4. Promoter hypermethylation and loss of CD133 gene expression in colorectal cancers

    Institute of Scientific and Technical Information of China (English)

    You-Kyung; Jeon; Sung-Hee; Kim; Seung-Ho; Choi; Kyung-Hee; Kim; Byong-Chul; Yoo; Ja-Lok; Ku; Jae-Gahb; Park

    2010-01-01

    AIM: To understand CD133 promoter hypermethyl-ation and expression in 32 colorectal cancer cell lines. METHODS: Nucleic acid was isolated from 32 colorectal cancer cell lines and CD133 expression levels were measured by reverse transcription-polymerase chain reaction (RT-PCR) and real-time PCR. Promoter methylation status of the CD133 gene was analyzed with a methylation-specific PCR after sodium-bisulfi te modification and by clonal sequencing analysis. The correlation between expression and promoter methy...

  5. Alternative splicing and differential gene expression in colon cancer detected by a whole genome exon array

    Directory of Open Access Journals (Sweden)

    Sugnet Charles

    2006-12-01

    Full Text Available Abstract Background Alternative splicing is a mechanism for increasing protein diversity by excluding or including exons during post-transcriptional processing. Alternatively spliced proteins are particularly relevant in oncology since they may contribute to the etiology of cancer, provide selective drug targets, or serve as a marker set for cancer diagnosis. While conventional identification of splice variants generally targets individual genes, we present here a new exon-centric array (GeneChip Human Exon 1.0 ST that allows genome-wide identification of differential splice variation, and concurrently provides a flexible and inclusive analysis of gene expression. Results We analyzed 20 paired tumor-normal colon cancer samples using a microarray designed to detect over one million putative exons that can be virtually assembled into potential gene-level transcripts according to various levels of prior supporting evidence. Analysis of high confidence (empirically supported transcripts identified 160 differentially expressed genes, with 42 genes occupying a network impacting cell proliferation and another twenty nine genes with unknown functions. A more speculative analysis, including transcripts based solely on computational prediction, produced another 160 differentially expressed genes, three-fourths of which have no previous annotation. We also present a comparison of gene signal estimations from the Exon 1.0 ST and the U133 Plus 2.0 arrays. Novel splicing events were predicted by experimental algorithms that compare the relative contribution of each exon to the cognate transcript intensity in each tissue. The resulting candidate splice variants were validated with RT-PCR. We found nine genes that were differentially spliced between colon tumors and normal colon tissues, several of which have not been previously implicated in cancer. Top scoring candidates from our analysis were also found to substantially overlap with EST-based bioinformatic

  6. Gene expression profiling of liver cancer stem cells by RNA-sequencing.

    Directory of Open Access Journals (Sweden)

    David W Y Ho

    Full Text Available BACKGROUND: Accumulating evidence supports that tumor growth and cancer relapse are driven by cancer stem cells. Our previous work has demonstrated the existence of CD90(+ liver cancer stem cells (CSCs in hepatocellular carcinoma (HCC. Nevertheless, the characteristics of these cells are still poorly understood. In this study, we employed a more sensitive RNA-sequencing (RNA-Seq to compare the gene expression profiling of CD90(+ cells sorted from tumor (CD90(+CSCs with parallel non-tumorous liver tissues (CD90(+NTSCs and elucidate the roles of putative target genes in hepatocarcinogenesis. METHODOLOGY/PRINCIPAL FINDINGS: CD90(+ cells were sorted respectively from tumor and adjacent non-tumorous human liver tissues using fluorescence-activated cell sorting. The amplified RNAs of CD90(+ cells from 3 HCC patients were subjected to RNA-Seq analysis. A differential gene expression profile was established between CD90(+CSCs and CD90(+NTSCs, and validated by quantitative real-time PCR (qRT-PCR on the same set of amplified RNAs, and further confirmed in an independent cohort of 12 HCC patients. Five hundred genes were differentially expressed (119 up-regulated and 381 down-regulated genes between CD90(+CSCs and CD90(+NTSCs. Gene ontology analysis indicated that the over-expressed genes in CD90(+CSCs were associated with inflammation, drug resistance and lipid metabolism. Among the differentially expressed genes, glypican-3 (GPC3, a member of glypican family, was markedly elevated in CD90(+CSCs compared to CD90(+NTSCs. Immunohistochemistry demonstrated that GPC3 was highly expressed in forty-two human liver tumor tissues but absent in adjacent non-tumorous liver tissues. Flow cytometry indicated that GPC3 was highly expressed in liver CD90(+CSCs and mature cancer cells in liver cancer cell lines and human liver tumor tissues. Furthermore, GPC3 expression was positively correlated with the number of CD90(+CSCs in liver tumor tissues. CONCLUSIONS

  7. Expression of Metabolic and Apoptotic Genes During Treatment With Chemopreventive Agents for Breast Cancer

    Science.gov (United States)

    2005-07-01

    Minneapolis, MN. Cancer -preventive properties of the components of cruciferous vegetables including indoles have been studied extensively. 3,3...carbinol (13C) is a product of autolysis from glucobrassicin in cruciferous vegetables . It is condensed to 3,3’-diindolylmethane (DIM) and other products in...AD Award Number: DAMD17-01-1-0332 TITLE: Expression of Metabolic and Apoptotic Genes During Treatment with Chemopreventive Agents for Breast Cancer

  8. Gene expression and epigenetic discovery screen reveal methylation of SFRP2 in prostate cancer.

    LENUS (Irish Health Repository)

    Perry, Antoinette S

    2013-04-15

    Aberrant activation of Wnts is common in human cancers, including prostate. Hypermethylation associated transcriptional silencing of Wnt antagonist genes SFRPs (Secreted Frizzled-Related Proteins) is a frequent oncogenic event. The significance of this is not known in prostate cancer. The objectives of our study were to (i) profile Wnt signaling related gene expression and (ii) investigate methylation of Wnt antagonist genes in prostate cancer. Using TaqMan Low Density Arrays, we identified 15 Wnt signaling related genes with significantly altered expression in prostate cancer; the majority of which were upregulated in tumors. Notably, histologically benign tissue from men with prostate cancer appeared more similar to tumor (r = 0.76) than to benign prostatic hyperplasia (BPH; r = 0.57, p < 0.001). Overall, the expression profile was highly similar between tumors of high (≥ 7) and low (≤ 6) Gleason scores. Pharmacological demethylation of PC-3 cells with 5-Aza-CdR reactivated 39 genes (≥ 2-fold); 40% of which inhibit Wnt signaling. Methylation frequencies in prostate cancer were 10% (2\\/20) (SFRP1), 64.86% (48\\/74) (SFRP2), 0% (0\\/20) (SFRP4) and 60% (12\\/20) (SFRP5). SFRP2 methylation was detected at significantly lower frequencies in high-grade prostatic intraepithelial neoplasia (HGPIN; 30%, (6\\/20), p = 0.0096), tumor adjacent benign areas (8.82%, (7\\/69), p < 0.0001) and BPH (11.43% (4\\/35), p < 0.0001). The quantitative level of SFRP2 methylation (normalized index of methylation) was also significantly higher in tumors (116) than in the other samples (HGPIN = 7.45, HB = 0.47, and BPH = 0.12). We show that SFRP2 hypermethylation is a common event in prostate cancer. SFRP2 methylation in combination with other epigenetic markers may be a useful biomarker of prostate cancer.

  9. Gene expression profiling of gastric cancer by microarray combined with laser capture microdissection

    Institute of Scientific and Technical Information of China (English)

    Ming-Shiang Wu; Yi-Shing Lin; Yu-Ting Chang; Chia-Tung Shun; Ming-Tsan Lin; Jaw-Town Lin

    2005-01-01

    AIM: To examine the gene expression profile of gastric cancer (GC) by combination of laser capture microdissection (LCM) and microarray and to correlate the profiling with histological subtypes. METHODS: Using LCM, pure cancer cells were procured from 45 cancerous tissues. After procurement of about 5 000 cells, total RNA was extracted and the quality of RNA was determined before further amplification and hybridization. One microgram of amplified RNA was converted to cDNA and hybridized to cDNA microarray. RESULTS: Among 45 cases, only 21 were qualified for their RNAs. A total of 62 arrays were performed. These included 42 arrays for cancer (21 cases with dyeswab duplication) and 20 arrays for non-tumorous cells (10 cases with dye-swab duplication) with universal reference. Analyzed data showed 504 genes were differentially expressed and could distinguish cancerous and non-cancerous groups with more than 99% accuracy. Of the 504 genes, trefoil factors 1, 2, and 3 were in the list and their expression patterns were consistent with previous reports. Immunohistochemical staining of trefoil factor 1 was also consistent with the array data. Analyses of the tumor group with these 504 genes showed that there were 3 subgroups of GC that did not correspond to any current classification system, including Lauren's classification. CONCLUSION: By using LCM, linear amplification of RNA, and cDNA microarray, we have identified a panel of genes that have the power to discriminate between GC and non-cancer groups. The new molecular classification and the identified novel genes in gastric carcinogenesis deserve further investigations to elucidate their dinicopathological significance.

  10. ADHESION INDUCES MATRIX METALLOPROTEINASE-9 GENE EXPRESSION IN OVARIAN CANCER CELLS

    Institute of Scientific and Technical Information of China (English)

    田方; 颜春洪; 薛红; 肖凤君

    2002-01-01

    Objective: To investigate the expression of matrix metalloproteinase-9 (MMP-9) gene in cancer cells induced by adhesion with fibronectin and the underlying mechanism of cell invasion. Methods: Following adhesion of ovarian cancer cells A2780 to fibronectin, MMP mRNA expression was assayed by using reverse transcription-polymerase chain reaction (RT-PCR). MMP-9 promoter was cloned from genomic DNA of HT1080 cells with PCR. The MMP-9-pGL2 reporter gene vector was constructed and then transiently transfected into A2780 cells. Results: Adhesion could induce the expression of MMP-9 gene in A2780 cells, but did not affect longer theexpression of MMP-2 or TIMP-1 gene. The induction was enhanced with longer adhesion time. When the transfected cells were allowed to adhere and spread on FN-coated surface, the promoter activity of MMP-9 gene was also enhanced dramatically. Conclusion: adhesion of cells with ECM may stimulate the expression of MMP-9 gene through stimulating the promoter activity, thereby enhancing cancer cell invasion and metastasis.

  11. Predictive value of MSH2 gene expression in colorectal cancer treated with capecitabine

    DEFF Research Database (Denmark)

    Jensen, Lars H; Danenberg, Kathleen D; Danenberg, Peter V;

    2007-01-01

    was associated with a hazard ratio of 0.5 (95% confidence interval, 0.23-1.11; P = 0.083) in survival analysis. CONCLUSION: The higher gene expression of MSH2 in responders and the trend for predicting overall survival indicates a predictive value of this marker in the treatment of advanced CRC with capecitabine.......PURPOSE: The objective of the present study was to evaluate the gene expression of the DNA mismatch repair gene MSH2 as a predictive marker in advanced colorectal cancer (CRC) treated with first-line capecitabine. PATIENTS AND METHODS: Microdissection of paraffin-embedded tumor tissue, RNA...

  12. A resampling-based meta-analysis for detection of differential gene expression in breast cancer

    Directory of Open Access Journals (Sweden)

    Ergul Gulusan

    2008-12-01

    Full Text Available Abstract Background Accuracy in the diagnosis of breast cancer and classification of cancer subtypes has improved over the years with the development of well-established immunohistopathological criteria. More recently, diagnostic gene-sets at the mRNA expression level have been tested as better predictors of disease state. However, breast cancer is heterogeneous in nature; thus extraction of differentially expressed gene-sets that stably distinguish normal tissue from various pathologies poses challenges. Meta-analysis of high-throughput expression data using a collection of statistical methodologies leads to the identification of robust tumor gene expression signatures. Methods A resampling-based meta-analysis strategy, which involves the use of resampling and application of distribution statistics in combination to assess the degree of significance in differential expression between sample classes, was developed. Two independent microarray datasets that contain normal breast, invasive ductal carcinoma (IDC, and invasive lobular carcinoma (ILC samples were used for the meta-analysis. Expression of the genes, selected from the gene list for classification of normal breast samples and breast tumors encompassing both the ILC and IDC subtypes were tested on 10 independent primary IDC samples and matched non-tumor controls by real-time qRT-PCR. Other existing breast cancer microarray datasets were used in support of the resampling-based meta-analysis. Results The two independent microarray studies were found to be comparable, although differing in their experimental methodologies (Pearson correlation coefficient, R = 0.9389 and R = 0.8465 for ductal and lobular samples, respectively. The resampling-based meta-analysis has led to the identification of a highly stable set of genes for classification of normal breast samples and breast tumors encompassing both the ILC and IDC subtypes. The expression results of the selected genes obtained through real

  13. Phase I metabolic genes and risk of lung cancer: multiple polymorphisms and mRNA expression.

    Directory of Open Access Journals (Sweden)

    Melissa Rotunno

    Full Text Available Polymorphisms in genes coding for enzymes that activate tobacco lung carcinogens may generate inter-individual differences in lung cancer risk. Previous studies had limited sample sizes, poor exposure characterization, and a few single nucleotide polymorphisms (SNPs tested in candidate genes. We analyzed 25 SNPs (some previously untested in 2101 primary lung cancer cases and 2120 population controls from the Environment And Genetics in Lung cancer Etiology (EAGLE study from six phase I metabolic genes, including cytochrome P450s, microsomal epoxide hydrolase, and myeloperoxidase. We evaluated the main genotype effects and genotype-smoking interactions in lung cancer risk overall and in the major histology subtypes. We tested the combined effect of multiple SNPs on lung cancer risk and on gene expression. Findings were prioritized based on significance thresholds and consistency across different analyses, and accounted for multiple testing and prior knowledge. Two haplotypes in EPHX1 were significantly associated with lung cancer risk in the overall population. In addition, CYP1B1 and CYP2A6 polymorphisms were inversely associated with adenocarcinoma and squamous cell carcinoma risk, respectively. Moreover, the association between CYP1A1 rs2606345 genotype and lung cancer was significantly modified by intensity of cigarette smoking, suggesting an underlying dose-response mechanism. Finally, increasing number of variants at CYP1A1/A2 genes revealed significant protection in never smokers and risk in ever smokers. Results were supported by differential gene expression in non-tumor lung tissue samples with down-regulation of CYP1A1 in never smokers and up-regulation in smokers from CYP1A1/A2 SNPs. The significant haplotype associations emphasize that the effect of multiple SNPs may be important despite null single SNP-associations, and warrants consideration in genome-wide association studies (GWAS. Our findings emphasize the necessity of post

  14. Nucleic acid modulation of gene expression: approaches for nucleic acid therapeutics against cancer.

    Science.gov (United States)

    Nakata, Yuji; Kim, Tae-Kon; Shetzline, Susan; Gewirtz, Alan M

    2005-01-01

    Most cancers are characterized by abnormal gene expression, which is thought to contribute to the pathogenesis and maintenance of the malignant phenotype; abnormal proliferation, maturation, and apoptosis. Silencing such genes would appear to be a rational approach to the therapy of cancer, and some preliminary clinical studies support this concept. Of the strategies available, the anti-mRNA gene silencing approach has attracted much attention and is the focus of this review. This strategy includes three types of agents: (1) single-stranded antisense oligonucleotides; (2) catalytically active oligonucleotides, such as ribozymes, and DNAzymes that possess inherent RNA cleaving activity; and (3) small interfering RNA (siRNA) molecules that induce RNA interference (RNAi). Among these agents, antisense oligonucleotides, especially phosphorothioate (PS) oligonucleotides, have been the most frequently used in clinical trials. In this article, we provide an overview of anti-mRNA gene silencing agents and their development for use as cancer therapeutics.

  15. Effect of Cytokine on the Expression of Sodium Iodide Symporter Gene in Breast Cancer Cell

    Institute of Scientific and Technical Information of China (English)

    JIAYue; LIUChao; TANGWei; LIUCui-ping; QINYou-wen; YUANQing-xing; LIQian; MAOXiao-dong; DIFu-song

    2004-01-01

    To investigate the effect of cytokines (TNF-α, IFN-γ and IL-6) on the expression of sodi-um-iodide symporter(NIS) gene in breast cancer cell (MCF-7). Methods:The breast cancer cell was cultureds with negative control culture or cultures with different concentrations of cytokines for 72 h. NIS germ mRNA in breast cancer cells cultured was determined by reverse transcriptase-polymerase chain reaction(RT-PCR). Results:Expression of sodium-iodide symporter mRNA can be found decreasing along with increasing the concentration of cytokine dose-depen-dently. Conchzs/on ~ Cytokine may play a role in iodide-uptake modulating in breast cancer cells by their effect on NIS germ expression.

  16. Identification of a potential ovarian cancer stem cell gene expression profile from advanced stage papillary serous ovarian cancer.

    Directory of Open Access Journals (Sweden)

    Vinod Vathipadiekal

    Full Text Available Identification of gene expression profiles of cancer stem cells may have significant implications in the understanding of tumor biology and for the design of novel treatments targeted toward these cells. Here we report a potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma. Affymetrix U133 Plus 2.0 microarrays were used to interrogate the differentially expressed genes between side population (SP and main population (MP, and the results were analyzed by paired T-test using BRB-ArrayTools. We identified 138 up-regulated and 302 down-regulated genes that were differentially expressed between all 10 SP/MP pairs. Microarray data was validated using qRT-PCR and17/19 (89.5% genes showed robust correlations between microarray and qRT-PCR expression data. The Pathway Studio analysis identified several genes involved in cell survival, differentiation, proliferation, and apoptosis which are unique to SP cells and a mechanism for the activation of Notch signaling is identified. To validate these findings, we have identified and isolated SP cells enriched for cancer stem cells from human ovarian cancer cell lines. The SP populations were having a higher colony forming efficiency in comparison to its MP counterpart and also capable of sustained expansion and differentiation in to SP and MP phenotypes. 50,000 SP cells produced tumor in nude mice whereas the same number of MP cells failed to give any tumor at 8 weeks after injection. The SP cells demonstrated a dose dependent sensitivity to specific γ-secretase inhibitors implicating the role of Notch signaling pathway in SP cell survival. Further the generated SP gene list was found to be enriched in recurrent ovarian cancer tumors.

  17. Casodex treatment induces hypoxia-related gene expression in the LNCaP prostate cancer progression model

    Directory of Open Access Journals (Sweden)

    Gopalakrishnan Velliyur K

    2005-03-01

    Full Text Available Abstract Background The changes in gene expression profile as prostate cancer progresses from an androgen-dependent disease to an androgen-independent disease are still largely unknown. Methods We examined the gene expression profile in the LNCaP prostate cancer progression model during chronic treatment with Casodex using cDNA microarrays consisting of 2305 randomly chosen genes. Results Our studies revealed a representative collection of genes whose expression was differentially regulated in LNCaP cells upon treatment with Casodex. A set of 15 genes were shown to be highly expressed in Casodex-treated LNCaP cells compared to the reference sample. This set of highly expressed genes represents a signature collection unique to prostate cancer since their expression was significantly greater than that of the collective pool of ten cancer cell lines of the reference sample. The highly expressed signature collection included the hypoxia-related genes membrane metallo-endopeptidase (MME, cyclin G2, and Bcl2/adenovirus E1B 19 kDa (BNIP3. Given the roles of these genes in angiogenesis, cell cycle regulation, and apoptosis, we further analyzed their expression and concluded that these genes may be involved in the molecular changes that lead to androgen-independence in prostate cancer. Conclusion Our data indicate that one of the mechanisms of Casodex action in prostate cancer cells is induction of hypoxic gene expression.

  18. Specific changes in the expression of imprinted genes in prostate cancer-implications for cancer progression and epigenetic regulation

    Institute of Scientific and Technical Information of China (English)

    Teodora Ribarska; Klaus-Marius Bastian; Annemarie Koch; Wolfgang A Schulz

    2012-01-01

    Epigenetic dysregulation comprising DNA hypermethylation and hypomethylation,enhancer of zeste homologue 2 (EZH2)overexpression and altered patterns of histone modifications is associated with the progression of prostate cancer.DNA methylation,EZH2 and histone modifications also ensure the parental-specific monoallelic expression of at least 62 imprinted genes.Although it is therefore tempting to speculate that epigenetic dysregulation may extend to imprinted genes,expression changes in cancerous prostates are only well documented for insulin-like growth factor 2 (IGF2).A literature and database survey on imprinted genes in prostate cancer suggests that the expression of most imprinted genes remains unchanged despite global disturbances in epigenetic mechanisms.Instead,selective genetic and epigenetic changes appear to lead to the inactivation of a sub-network of imprinted genes,which might function in the prostate to limit cell growth induced viathe PI3K/Akt pathway,modulate androgen responses and regulate differentiation.Whereas dysregulation of IG F2 may constitute an early change in prostate carcinogenesis,inactivation of this imprinted gene network is rather associated with cancer progression.

  19. Reduced expression of a gene proliferation signature is associated with enhanced malignancy in colon cancer.

    Science.gov (United States)

    Anjomshoaa, A; Lin, Y-H; Black, M A; McCall, J L; Humar, B; Song, S; Fukuzawa, R; Yoon, H-S; Holzmann, B; Friederichs, J; van Rij, A; Thompson-Fawcett, M; Reeve, A E

    2008-09-16

    The association between cell proliferation and the malignant potential of colon cancer is not well understood. Here, we evaluated this association using a colon-specific gene proliferation signature (GPS). The GPS was derived by combining gene expression data obtained from the analysis of a cancer cell line model and a published colon crypt profile. The GPS was overexpressed in both actively cycling cells in vitro and the proliferate compartment of colon crypts. K-means clustering was used to independantly stratify two cohorts of colon tumours into two groups with high and low GPS expression. Notably, we observed a significant association between reduced GPS expression and an increased likelihood of recurrence (P cancer malignancy and increased proliferation, by applying our GPS to public breast cancer data. In this study, we show that reduced proliferation is a biological feature characterizing the majority of aggressive colon cancers. This contrasts with many other carcinomas such as breast cancer. Investigating the reasons underlying this unusual observation may provide important insight into the biology of colon cancer progression and putative novel therapy options.

  20. Clinical Omics Analysis of Colorectal Cancer Incorporating Copy Number Aberrations and Gene Expression Data

    Directory of Open Access Journals (Sweden)

    Tsuyoshi Yoshida

    2010-07-01

    Full Text Available Background: Colorectal cancer (CRC is one of the most frequently occurring cancers in Japan, and thus a wide range of methods have been deployed to study the molecular mechanisms of CRC. In this study, we performed a comprehensive analysis of CRC, incorporating copy number aberration (CRC and gene expression data. For the last four years, we have been collecting data from CRC cases and organizing the information as an “omics” study by integrating many kinds of analysis into a single comprehensive investigation. In our previous studies, we had experienced difficulty in finding genes related to CRC, as we observed higher noise levels in the expression data than in the data for other cancers. Because chromosomal aberrations are often observed in CRC, here, we have performed a combination of CNA analysis and expression analysis in order to identify some new genes responsible for CRC. This study was performed as part of the Clinical Omics Database Project at Tokyo Medical and Dental University. The purpose of this study was to investigate the mechanism of genetic instability in CRC by this combination of expression analysis and CNA, and to establish a new method for the diagnosis and treatment of CRC. Materials and methods: Comprehensive gene expression analysis was performed on 79 CRC cases using an Affymetrix Gene Chip, and comprehensive CNA analysis was performed using an Affymetrix DNA Sty array. To avoid the contamination of cancer tissue with normal cells, laser micro-dissection was performed before DNA/RNA extraction. Data analysis was performed using original software written in the R language. Result: We observed a high percentage of CNA in colorectal cancer, including copy number gains at 7, 8q, 13 and 20q, and copy number losses at 8p, 17p and 18. Gene expression analysis provided many candidates for CRC-related genes, but their association with CRC did not reach the level of statistical significance. The combination of CNA and gene

  1. Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds.

    Directory of Open Access Journals (Sweden)

    Howard Y Chang

    2004-02-01

    Full Text Available Cancer invasion and metastasis have been likened to wound healing gone awry. Despite parallels in cellular behavior between cancer progression and wound healing, the molecular relationships between these two processes and their prognostic implications are unclear. In this study, based on gene expression profiles of fibroblasts from ten anatomic sites, we identify a stereotyped gene expression program in response to serum exposure that appears to reflect the multifaceted role of fibroblasts in wound healing. The genes comprising this fibroblast common serum response are coordinately regulated in many human tumors, allowing us to identify tumors with gene expression signatures suggestive of active wounds. Genes induced in the fibroblast serum-response program are expressed in tumors by the tumor cells themselves, by tumor-associated fibroblasts, or both. The molecular features that define this wound-like phenotype are evident at an early clinical stage, persist during treatment, and predict increased risk of metastasis and death in breast, lung, and gastric carcinomas. Thus, the transcriptional signature of the response of fibroblasts to serum provides a possible link between cancer progression and wound healing, as well as a powerful predictor of the clinical course in several common carcinomas.

  2. Systematic variation in gene expression patterns in human cancer cell lines

    Energy Technology Data Exchange (ETDEWEB)

    Ross, Douglas T.; Scherf, Uwe; Eisen, Michael B.; Perou, Charles M.; Rees, Christian; Spellman, Paul; Iyer, Vishwanath; Jeffrey, Stefanie S.; Van de Rijn, Matt; Waltham, Mark; Pergamenschikov, Alexander; Lee, Jeffrey C.F.; Lashkari, Deval; Shalon, Dari; Myers, Timothy G.; Weinstein, John N.; Botstein, David; Brown, Patrick O.

    2000-01-01

    We used cDNA micro arrays to explore the variation in expression of approximately 8,000 unique genes among the 60 cell lines used in the National Cancer Institute s screen for anti-cancer drugs. Classification of the cell lines based solely on the observed patterns of gene expression revealed a correspondence to the ostensible origins of the tumors from which the cell lines were derived. The consistent relationship between the gene expression patterns and the tissue of origin allowed us to recognize outliers whose previous classification appeared incorrect. Specific features of the gene expression patterns appeared to be related to physiological properties of the cell lines, such as their doubling time in culture, drug metabolism or the interferon response. Comparison of gene expression patterns in the cell lines to those observed in normal breast tissue or in breast tumor specimens revealed features of the expression patterns in the tumors that had recognizable counterparts in specific cell lines, reflecting the tumor, stromal and inflammatory components of the tumor tissue. These results provided a novel molecular characterization of this important group of human cell lines and their relationships to tumors in vivo.

  3. Gene expression variation to predict 10-year survival in lymph-node-negative breast cancer

    Directory of Open Access Journals (Sweden)

    Karlsson Per

    2008-09-01

    Full Text Available Abstract Background It is of great significance to find better markers to correctly distinguish between high-risk and low-risk breast cancer patients since the majority of breast cancer cases are at present being overtreated. Methods 46 tumours from node-negative breast cancer patients were studied with gene expression microarrays. A t-test was carried out in order to find a set of genes where the expression might predict clinical outcome. Two classifiers were used for evaluation of the gene lists, a correlation-based classifier and a Voting Features Interval (VFI classifier. We then evaluated the predictive accuracy of this expression signature on tumour sets from two similar studies on lymph-node negative patients. They had both developed gene expression signatures superior to current methods in classifying node-negative breast tumours. These two signatures were also tested on our material. Results A list of 51 genes whose expression profiles could predict clinical outcome with high accuracy in our material (96% or 89% accuracy in cross-validation, depending on type of classifier was developed. When tested on two independent data sets, the expression signature based on the 51 identified genes had good predictive qualities in one of the data sets (74% accuracy, whereas their predictive value on the other data set were poor, presumably due to the fact that only 23 of the 51 genes were found in that material. We also found that previously developed expression signatures could predict clinical outcome well to moderately well in our material (72% and 61%, respectively. Conclusion The list of 51 genes derived in this study might have potential for clinical utility as a prognostic gene set, and may include candidate genes of potential relevance for clinical outcome in breast cancer. According to the predictions by this expression signature, 30 of the 46 patients may have benefited from different adjuvant treatment than they recieved. Trial

  4. Expression of tumor related gene NAG6 in gastric cancer and restriction fragment length polymorphism analysis

    Institute of Scientific and Technical Information of China (English)

    Xiao-Mei Zhang; Shou-Rong Sheng; Xiao-Yan Wang; Liang-Hua Bin; Jie-Ru Wang; Gui-Yuan Li

    2004-01-01

    AIM: NAG6 gene is a novel tumor related gene identified recently. This study was designed to examine the expression of this gene in gastric cancer and corresponding normal tissues, and to investigate its role in the occurrence and development of gastric cancer, also to study if the genetic structure of NAG6 was altered in gastric cancer.METHODS: Reverse transcription-polymerase chain reaction (RT-PCR), Northern blot analysis and dot hybridization were used to compare the expression level of NAG6 gene in 42cases of gastric cancer tissues with their corresponding normal tissues of the same patients respectively. In addition,restriction fragment length polymorphism (RFLP) analysis was adopted to study if the genetic structure of NAG6 was altered in gastric carcinomas.RESULTS: The expression of NAG6 in 57.1% gastric cancer tissues (25/42) was absent by RT-PCR analysis. The downregulation rate of NAG6 in gastric cancer tissues was significantly higher than that in corresponding normal tissues (P<0.01). However no correlation between the downregulation of NAG6 and lymph-node and/or distance metastasis was found in this study (P>0.05). Dot hybridization confirmed the results of RT-PCR. Furthermore,the results of EcoRI RFLP analysis of NAG6 gene demonstrated that 3 of 7 cases of gastric cancer showed loss of 5 kb fragment in comparison with their corresponding normal tissues.CONCLUSION: NAG6 gene is significantly down regulated in gastric cancer. The loss of genetic materials may be the cause of down-regulation of NAG6 expression. This seems to suggest that NAG6 may represent a candidate of putative tumor suppressor gene at 7q31-32 loci associated with gastric carcinoma. The down-regulation of this gene may play a role in occurrence and development of this disease, however it may not be associated with lymph node and/or distance metastasis.

  5. In silico analysis of stomach lineage specific gene set expression pattern in gastric cancer

    Energy Technology Data Exchange (ETDEWEB)

    Pandi, Narayanan Sathiya, E-mail: sathiyapandi@gmail.com; Suganya, Sivagurunathan; Rajendran, Suriliyandi

    2013-10-04

    Highlights: •Identified stomach lineage specific gene set (SLSGS) was found to be under expressed in gastric tumors. •Elevated expression of SLSGS in gastric tumor is a molecular predictor of metabolic type gastric cancer. •In silico pathway scanning identified estrogen-α signaling is a putative regulator of SLSGS in gastric cancer. •Elevated expression of SLSGS in GC is associated with an overall increase in the survival of GC patients. -- Abstract: Stomach lineage specific gene products act as a protective barrier in the normal stomach and their expression maintains the normal physiological processes, cellular integrity and morphology of the gastric wall. However, the regulation of stomach lineage specific genes in gastric cancer (GC) is far less clear. In the present study, we sought to investigate the role and regulation of stomach lineage specific gene set (SLSGS) in GC. SLSGS was identified by comparing the mRNA expression profiles of normal stomach tissue with other organ tissue. The obtained SLSGS was found to be under expressed in gastric tumors. Functional annotation analysis revealed that the SLSGS was enriched for digestive function and gastric epithelial maintenance. Employing a single sample prediction method across GC mRNA expression profiles identified the under expression of SLSGS in proliferative type and invasive type gastric tumors compared to the metabolic type gastric tumors. Integrative pathway activation prediction analysis revealed a close association between estrogen-α signaling and SLSGS expression pattern in GC. Elevated expression of SLSGS in GC is associated with an overall increase in the survival of GC patients. In conclusion, our results highlight that estrogen mediated regulation of SLSGS in gastric tumor is a molecular predictor of metabolic type GC and prognostic factor in GC.

  6. Integrative Analysis of Gene Expression Data Including an Assessment of Pathway Enrichment for Predicting Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Pingzhao Hu

    2006-01-01

    Full Text Available Background: Microarray technology has been previously used to identify genes that are differentially expressed between tumour and normal samples in a single study, as well as in syntheses involving multiple studies. When integrating results from several Affymetrix microarray datasets, previous studies summarized probeset-level data, which may potentially lead to a loss of information available at the probe-level. In this paper, we present an approach for integrating results across studies while taking probe-level data into account. Additionally, we follow a new direction in the analysis of microarray expression data, namely to focus on the variation of expression phenotypes in predefined gene sets, such as pathways. This targeted approach can be helpful for revealing information that is not easily visible from the changes in the individual genes. Results: We used a recently developed method to integrate Affymetrix expression data across studies. The idea is based on a probe-level based test statistic developed for testing for differentially expressed genes in individual studies. We incorporated this test statistic into a classic random-effects model for integrating data across studies. Subsequently, we used a gene set enrichment test to evaluate the significance of enriched biological pathways in the differentially expressed genes identified from the integrative analysis. We compared statistical and biological significance of the prognostic gene expression signatures and pathways identified in the probe-level model (PLM with those in the probeset-level model (PSLM. Our integrative analysis of Affymetrix microarray data from 110 prostate cancer samples obtained from three studies reveals thousands of genes significantly correlated with tumour cell differentiation. The bioinformatics analysis, mapping these genes to the publicly available KEGG database, reveals evidence that tumour cell differentiation is significantly associated with many

  7. Gene expression profile of colon cancer cell lines treated with SN-38

    DEFF Research Database (Denmark)

    Wallin, A; Francis, P; Nilbert, M;

    2010-01-01

    the incidence in fact has increased. To improve chemotherapy and enable personalised treatment, the need of biomarkers is of great significance. In this study, we evaluated the gene expression profiles of the colon cancer cell lines treated with SN-38, the active metabolite of topoisomerase-1 inhibitor......Colorectal cancer is the third most common form of cancer in the industrial countries. Due to advances regarding the treatments, primarily development of improved surgical methods and the ability to make the earlier diagnosis, the mortality has remained constant during the past decades even though...

  8. Effect of metallothionein 2A gene polymorphism on allele-specific gene expression and metal content in prostate cancer

    Energy Technology Data Exchange (ETDEWEB)

    Krześlak, Anna; Forma, Ewa [Department of Cytobiochemistry, University of Łódź, Pomorska 141/143, 90-236 Łódź (Poland); Chwatko, Grażyna [Department of Environmental Chemistry, University of Łódź, Pomorska 163, 90-236 Łódź (Poland); Jóźwiak, Paweł; Szymczyk, Agnieszka [Department of Cytobiochemistry, University of Łódź, Pomorska 141/143, 90-236 Łódź (Poland); Wilkosz, Jacek; Różański, Waldemar [2nd Department of Urology, Medical University of Łódź, Pabianicka 62, 93-513 Łódź (Poland); Bryś, Magdalena, E-mail: zreg@biol.uni.lodz.pl [Department of Cytobiochemistry, University of Łódź, Pomorska 141/143, 90-236 Łódź (Poland)

    2013-05-01

    Metallothioneins (MTs) are highly conserved, small molecular weight, cysteine rich proteins. The major physiological functions of metallothioneins include homeostasis of essential metals Zn and Cu and protection against cytotoxicity of heavy metals. The aim of this study was to determine whether there is an association between the − 5 A/G single nucleotide polymorphism (SNP; rs28366003) in core promoter region and expression of metallothionein 2A (MT2A) gene and metal concentration in prostate cancer tissues. MT2A polymorphism was determined by the polymerase chain reaction–restriction fragment length polymorphism technique (PCR–RFLP) using 412 prostate cancer tissue samples. MT2A gene expression analysis was performed by real-time RT-PCR method. A significant association between rs28366003 genotype and MT2A expression level was found. The average mRNA level was found to be lower among minor allele carriers (the risk allele) than average expression among homozygotes for the major allele. Metal levels were analyzed by flamed atomic absorption spectrometer system. Highly statistically significant associations were detected between the SNP and Cd, Zn, Cu and Pb levels. The results of Spearman's rank correlation showed that the expressions of MT2A and Cu, Pb and Ni concentrations were negatively correlated. On the basis of the results obtained in this study, we suggest that SNP polymorphism may affect the MT2A gene expression in prostate and this is associated with some metal accumulation. - Highlights: • MT2A gene expression and metal content in prostate cancer tissues • Association between SNP (rs28366003) and expression of MT2A • Significant associations between the SNP and Cd, Zn, Cu and Pb levels • Negative correlation between MT2A gene expression and Cu, Pb and Ni levels.

  9. Endosomal gene expression: a new indicator for prostate cancer patient prognosis?

    LENUS (Irish Health Repository)

    Johnson, Ian R D

    2015-11-10

    Prostate cancer continues to be a major cause of morbidity and mortality in men, but a method for accurate prognosis in these patients is yet to be developed. The recent discovery of altered endosomal biogenesis in prostate cancer has identified a fundamental change in the cell biology of this cancer, which holds great promise for the identification of novel biomarkers that can predict disease outcomes. Here we have identified significantly altered expression of endosomal genes in prostate cancer compared to non-malignant tissue in mRNA microarrays and confirmed these findings by qRT-PCR on fresh-frozen tissue. Importantly, we identified endosomal gene expression patterns that were predictive of patient outcomes. Two endosomal tri-gene signatures were identified from a previously published microarray cohort and had a significant capacity to stratify patient outcomes. The expression of APPL1, RAB5A, EEA1, PDCD6IP, NOX4 and SORT1 were altered in malignant patient tissue, when compared to indolent and normal prostate tissue. These findings support the initiation of a case-control study using larger cohorts of prostate tissue, with documented patient outcomes, to determine if different combinations of these new biomarkers can accurately predict disease status and clinical progression in prostate cancer patients.

  10. Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues.

    Science.gov (United States)

    Kosti, Idit; Jain, Nishant; Aran, Dvir; Butte, Atul J; Sirota, Marina

    2016-05-04

    The central dogma of molecular biology describes the translation of genetic information from mRNA to protein, but does not specify the quantitation or timing of this process across the genome. We have analyzed protein and gene expression in a diverse set of human tissues. To study concordance and discordance of gene and protein expression, we integrated mass spectrometry data from the Human Proteome Map project and RNA-Seq measurements from the Genotype-Tissue Expression project. We analyzed 16,561 genes and the corresponding proteins in 14 tissue types across nearly 200 samples. A comprehensive tissue- and gene-specific analysis revealed that across the 14 tissues, correlation between mRNA and protein expression was positive and ranged from 0.36 to 0.5. We also identified 1,012 genes whose RNA and protein expression was correlated across all the tissues and examined genes and proteins that were concordantly and discordantly expressed for each tissue of interest. We extended our analysis to look for genes and proteins that were differentially correlated in cancer compared to normal tissues, showing higher levels of correlation in normal tissues. Finally, we explored the implications of these findings in the context of biomarker and drug target discovery.

  11. Discovery of molecular associations among aging, stem cells, and cancer based on gene expression profiling

    Institute of Scientific and Technical Information of China (English)

    Xiaosheng Wang

    2013-01-01

    The emergence of a huge volume of "omics" data enables a computational approach to the investigation of the biology of cancer.The cancer informatics approach is a useful supplement to the traditional experimental approach.I reviewed several reports that used a bioinformatics approach to analyze the associations among aging,stem cells,and cancer by microarray gene expression profiling.The high expression of aging-or human embryonic stem cell-related molecules in cancer suggests that certain important mechanisms are commonly underlying aging,stem cells,and cancer.These mechanisms are involved in cell cycle regulation,metabolic process,DNA damage response,apoptosis,p53 signaling pathway,immune/inflammatory response,and other processes,suggesting that cancer is a developmental and evolutional disease that is strongly related to aging.Moreover,these mechanisms demonstrate that the initiation,proliferation,and metastasis of cancer are associated with the deregulation of stem cells.These findings provide insights into the biology of cancer.Certainly,the findings that are obtained by the informatics approach should be justified by experimental validation.This review also noted that next-generation sequencing data provide enriched sources for cancer informatics study.

  12. Discovery of molecular associations among aging, stem cells, and cancer based on gene expression profiling.

    Science.gov (United States)

    Wang, Xiaosheng

    2013-04-01

    The emergence of a huge volume of "omics" data enables a computational approach to the investigation of the biology of cancer. The cancer informatics approach is a useful supplement to the traditional experimental approach. I reviewed several reports that used a bioinformatics approach to analyze the associations among aging, stem cells, and cancer by microarray gene expression profiling. The high expression of aging- or human embryonic stem cell-related molecules in cancer suggests that certain important mechanisms are commonly underlying aging, stem cells, and cancer. These mechanisms are involved in cell cycle regulation, metabolic process, DNA damage response, apoptosis, p53 signaling pathway, immune/inflammatory response, and other processes, suggesting that cancer is a developmental and evolutional disease that is strongly related to aging. Moreover, these mechanisms demonstrate that the initiation, proliferation, and metastasis of cancer are associated with the deregulation of stem cells. These findings provide insights into the biology of cancer. Certainly, the findings that are obtained by the informatics approach should be justified by experimental validation. This review also noted that next-generation sequencing data provide enriched sources for cancer informatics study.

  13. Gene expression profiling predicts clinical outcome of breast cancer

    NARCIS (Netherlands)

    Veer, L.J. van 't; Dai, H.; Vijver, H. van de; He, Y.D.; Hart, A.A.M.; Mao, M.; Peterse, H.L.; Kooy, K. van der; Marton, M.J.; Witteveen, A.T.; Schreiber, G.J.; Kerkhoven, R.M.; Roberts, C.; Linsley, P.S.; Bernards, R.A.; Friend, S.H.

    2002-01-01

    Breast cancer patients with the same stage of disease can have markedly different treatment responses and overall outcome. The strongest predictors for metastases (for example, lymph node status and histological grade) fail to classify accurately breast tumours according to their clinical behaviour.

  14. Gene Expression Analysis Of Circulating Hormone Refractory Prostate Cancer Micrometastases

    Science.gov (United States)

    2011-02-01

    Todd B. Prognostic factors in patients with advanced prostate cancer. Urology 1989; 33 ( 5 Suppl.): 53–6 4 Smaletz O, Scher HI...Tina Fan b, Howard L. Adler b, Emmanuel R. Yera a, M.H. Zarrabi d, Stanley Zucker d, Jeffry Simko a, Wen-Tien Chen b,c, Jonathan Rosenberg e aDepartment

  15. Personalized chemotherapy selection for breast cancer using gene expression profiles

    Science.gov (United States)

    Yu, Kaixian; Sang, Qing-Xiang Amy; Lung, Pei-Yau; Tan, Winston; Lively, Ty; Sheffield, Cedric; Bou-Dargham, Mayassa J.; Liu, Jun S.; Zhang, Jinfeng

    2017-01-01

    Choosing the optimal chemotherapy regimen is still an unmet medical need for breast cancer patients. In this study, we reanalyzed data from seven independent data sets with totally 1079 breast cancer patients. The patients were treated with three different types of commonly used neoadjuvant chemotherapies: anthracycline alone, anthracycline plus paclitaxel, and anthracycline plus docetaxel. We developed random forest models with variable selection using both genetic and clinical variables to predict the response of a patient using pCR (pathological complete response) as the measure of response. The models were then used to reassign an optimal regimen to each patient to maximize the chance of pCR. An independent validation was performed where each independent study was left out during model building and later used for validation. The expected pCR rates of our method are significantly higher than the rates of the best treatments for all the seven independent studies. A validation study on 21 breast cancer cell lines showed that our prediction agrees with their drug-sensitivity profiles. In conclusion, the new strategy, called PRES (Personalized REgimen Selection), may significantly increase response rates for breast cancer patients, especially those with HER2 and ER negative tumors, who will receive one of the widely-accepted chemotherapy regimens. PMID:28256629

  16. Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes

    Directory of Open Access Journals (Sweden)

    Eils Roland

    2005-11-01

    Full Text Available Abstract Background The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer studies. Although similar questions for the same type of cancer are addressed in these different studies, a comparative analysis of their results is hampered by the use of heterogeneous microarray platforms and analysis methods. Results In contrast to a meta-analysis approach where results of different studies are combined on an interpretative level, we investigate here how to directly integrate raw microarray data from different studies for the purpose of supervised classification analysis. We use median rank scores and quantile discretization to derive numerically comparable measures of gene expression from different platforms. These transformed data are then used for training of classifiers based on support vector machines. We apply this approach to six publicly available cancer microarray gene expression data sets, which consist of three pairs of studies, each examining the same type of cancer, i.e. breast cancer, prostate cancer or acute myeloid leukemia. For each pair, one study was performed by means of cDNA microarrays and the other by means of oligonucleotide microarrays. In each pair, high classification accuracies (> 85% were achieved with training and testing on data instances randomly chosen from both data sets in a cross-validation analysis. To exemplify the potential of this cross-platform classification analysis, we use two leukemia microarray data sets to show that important genes with regard to the biology of leukemia are selected in an integrated analysis, which are missed in either single-set analysis. Conclusion Cross-platform classification of multiple cancer microarray data sets yields discriminative gene expression signatures that are found and validated on a large number of microarray samples, generated by different laboratories and

  17. COX-2 gene expression in colon cancer tissue related to regulating factors and promoter methylation status

    Directory of Open Access Journals (Sweden)

    Lagerstedt Kristina

    2011-06-01

    Full Text Available Abstract Background Increased cyclooxygenase activity promotes progression of colorectal cancer, but the mechanisms behind COX-2 induction remain elusive. This study was therefore aimed to define external cell signaling and transcription factors relating to high COX-2 expression in colon cancer tissue. Method Tumor and normal colon tissue were collected at primary curative operation in 48 unselected patients. COX-2 expression in tumor and normal colon tissue was quantified including microarray analyses on tumor mRNA accounting for high and low tumor COX-2 expression. Cross hybridization was performed between tumor and normal colon tissue. Methylation status of up-stream COX-2 promoter region was evaluated. Results Tumors with high COX-2 expression displayed large differences in gene expression compared to normal colon. Numerous genes with altered expression appeared in tumors of high COX-2 expression compared to tumors of low COX-2. COX-2 expression in normal colon was increased in patients with tumors of high COX-2 compared to normal colon from patients with tumors of low COX-2. IL1β, IL6 and iNOS transcripts were up-regulated among external cell signaling factors; nine transcription factors (ATF3, C/EBP, c-Fos, Fos-B, JDP2, JunB, c-Maf, NF-κB, TCF4 showed increased expression and 5 (AP-2, CBP, Elk-1, p53, PEA3 were decreased in tumors with high COX-2. The promoter region of COX-2 gene did not show consistent methylation in tumor or normal colon tissue. Conclusions Transcription and external cell signaling factors are altered as covariates to COX-2 expression in colon cancer tissue, but DNA methylation of the COX-2 promoter region was not a significant factor behind COX-2 expression in tumor and normal colon tissue.

  18. Low expression of a few genes indicates good prognosis in estrogen receptor positive breast cancer

    Directory of Open Access Journals (Sweden)

    Buechler Steven

    2009-07-01

    Full Text Available Abstract Background Many breast cancer patients remain free of distant metastasis even without adjuvant chemotherapy. While standard histopathological tests fail to identify these good prognosis patients with adequate precision, analyses of gene expression patterns in primary tumors have resulted in more successful diagnostic tests. These tests use continuous measurements of the mRNA concentrations of numerous genes to determine a risk of metastasis in lymph node negative breast cancer patients with other clinical traits. Methods A survival model is constructed from genes that are both connected with relapse and have expression patterns that define distinct subtypes, suggestive of different cellular states. This in silico study uses publicly available microarray databases generated with Affymetrix GeneChip technology. The genes in our model, as represented by array probes, have distinctive distributions in a patient cohort, consisting of a large normal component of low expression values; and a long right tail of high expression values. The cutoff between low and high expression of a probe is determined from the distribution using the theory of mixture models. The good prognosis group in our model consists of the samples in the low expression component of multiple genes. Results Here, we define a novel test for risk of metastasis in estrogen receptor positive (ER+ breast cancer patients, using four probes that determine distinct subtypes. The good prognosis group in this test, denoted AP4-, consists of the samples with low expression of each of the four probes. Two probes target MKI67, antigen identified by monoclonal antibody Ki-67, one targets CDC6, cell division cycle 6 homolog (S. cerevisiae, and a fourth targets SPAG5, sperm associated antigen 5. The long-term metastasis-free survival probability for samples in AP4- is sufficiently high to render chemotherapy of questionable benefit. Conclusion A breast cancer subtype defined by low

  19. Genomic structure of the human BCCIP gene and its expression in cancer.

    Science.gov (United States)

    Meng, Xiangbing; Liu, Jingmei; Shen, Zhiyuan

    2003-01-02

    Human BCCIPalpha (Tok-1alpha) is a BRCA2 and CDKN1A (Cip1, p21) interacting protein. Our previous studies have showed that overexpression of BCCIPalpha inhibits the growth of certain tumor cells [Oncogene 20 (2001) 336]. In this study, we report the genomic structure of the human BCCIP gene, which contains nine exons. Alternative splicing of the 3'-terminal exons produces two isoforms of BCCIP transcripts, BCCIPalpha and BCCIPbeta. The BCCIP gene is flanked by two genes that are transcribed in the opposite orientation of the BCCIP gene. It lies head-to-head and shares a bi-directional promoter with the uroporphyrinogen III synthase (UROS) gene. The last three exons of BCCIP gene overlap the 3'-terminal seven exons of a DEAD/H helicase-like gene (DDX32). Using a matched normal/tumor cDNA array, we identified a reduced expression of BCCIP in kidney tumor, suggesting a role of BCCIP in cancer etiology.

  20. ABCA Transporter Gene Expression and Poor Outcome in Epithelial Ovarian Cancer

    DEFF Research Database (Denmark)

    Hedditch, Ellen L; Gao, Bo; Russell, Amanda J

    2014-01-01

    -wide association study. Impact of short interfering RNA-mediated gene suppression was determined by colony forming and migration assays. Association with survival was assessed with Kaplan-Meier analysis and log-rank tests. All statistical tests were two-sided. RESULTS: Associations with outcome were observed...... with ABC transporters of the "A" subfamily, but not with multidrug transporters. High-level expression of ABCA1, ABCA6, ABCA8, and ABCA9 in primary tumors was statistically significantly associated with reduced survival in serous ovarian cancer patients. Low levels of ABCA5 and the C-allele of rs536009...... cancer cell growth and migration in vitro, and statin treatment reduced ovarian cancer cell migration. CONCLUSIONS: Expression of ABCA transporters was associated with poor outcome in serous ovarian cancer, implicating lipid trafficking as a potentially important process in EOC....

  1. Oligonucleotide microarray identifies genes differentially expressed during tumorigenesis of DMBA-induced pancreatic cancer in rats.

    Directory of Open Access Journals (Sweden)

    Jun-Chao Guo

    Full Text Available The extremely dismal prognosis of pancreatic cancer (PC is attributed, at least in part, to lack of early diagnosis. Therefore, identifying differentially expressed genes in multiple steps of tumorigenesis of PC is of great interest. In the present study, a 7,12-dimethylbenzanthraene (DMBA-induced PC model was established in male Sprague-Dawley rats. The gene expression profile was screened using an oligonucleotide microarray, followed by real-time quantitative polymerase chain reaction (qRT-PCR and immunohistochemical staining validation. A total of 661 differentially expressed genes were identified in stages of pancreatic carcinogenesis. According to GO classification, these genes were involved in multiple molecular pathways. Using two-way hierarchical clustering analysis, normal pancreas, acute and chronic pancreatitis, PanIN, early and advanced pancreatic cancer were completely discriminated. Furthermore, 11 upregulated and 142 downregulated genes (probes were found by Mann-Kendall trend Monotone test, indicating homologous genes of rat and human. The qRT-PCR and immunohistochemistry analysis of CXCR7 and UBe2c, two of the identified genes, confirmed the microarray results. In human PC cell lines, knockdown of CXCR7 resulted in decreased migration and invasion. Collectively, our data identified several promising markers and therapeutic targets of PC based on a comprehensive screening and systemic validation.

  2. Oligonucleotide microarray identifies genes differentially expressed during tumorigenesis of DMBA-induced pancreatic cancer in rats.

    Science.gov (United States)

    Guo, Jun-Chao; Li, Jian; Yang, Ying-Chi; Zhou, Li; Zhang, Tai-Ping; Zhao, Yu-Pei

    2013-01-01

    The extremely dismal prognosis of pancreatic cancer (PC) is attributed, at least in part, to lack of early diagnosis. Therefore, identifying differentially expressed genes in multiple steps of tumorigenesis of PC is of great interest. In the present study, a 7,12-dimethylbenzanthraene (DMBA)-induced PC model was established in male Sprague-Dawley rats. The gene expression profile was screened using an oligonucleotide microarray, followed by real-time quantitative polymerase chain reaction (qRT-PCR) and immunohistochemical staining validation. A total of 661 differentially expressed genes were identified in stages of pancreatic carcinogenesis. According to GO classification, these genes were involved in multiple molecular pathways. Using two-way hierarchical clustering analysis, normal pancreas, acute and chronic pancreatitis, PanIN, early and advanced pancreatic cancer were completely discriminated. Furthermore, 11 upregulated and 142 downregulated genes (probes) were found by Mann-Kendall trend Monotone test, indicating homologous genes of rat and human. The qRT-PCR and immunohistochemistry analysis of CXCR7 and UBe2c, two of the identified genes, confirmed the microarray results. In human PC cell lines, knockdown of CXCR7 resulted in decreased migration and invasion. Collectively, our data identified several promising markers and therapeutic targets of PC based on a comprehensive screening and systemic validation.

  3. Cancer cell specific cytotoxic gene expression mediated by ARF tumor suppressor promoter constructs

    Energy Technology Data Exchange (ETDEWEB)

    Kurayoshi, Kenta [Department of Bioscience, School of Science and Technology, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo 669-1337 (Japan); Ozono, Eiko [Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary, University of London, John Vane Science Centre, Charterhouse Square, London EC1M 6BQ (United Kingdom); Iwanaga, Ritsuko; Bradford, Andrew P. [Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Anschutz Medical Campus, 12800 East 19th Avenue, Aurora, CO 80045 (United States); Komori, Hideyuki [Center for Stem Cell Biology, Life Sciences Institute, University of Michigan, Ann Arbor, MI 48109 (United States); Ohtani, Kiyoshi, E-mail: btm88939@kwansei.ac.jp [Department of Bioscience, School of Science and Technology, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo 669-1337 (Japan)

    2014-07-18

    Highlights: • ARF promoter showed higher responsiveness to deregulated E2F activity than the E2F1 promoter. • ARF promoter showed higher cancer cell-specificity than E2F1 promoter to drive gene expression. • HSV-TK driven by ARF promoter showed higher cancer cell-specific cytotoxicity than that driven by E2F1 promoter. - Abstract: In current cancer treatment protocols, such as radiation and chemotherapy, side effects on normal cells are major obstacles to radical therapy. To avoid these side effects, a cancer cell-specific approach is needed. One way to specifically target cancer cells is to utilize a cancer specific promoter to express a cytotoxic gene (suicide gene therapy) or a viral gene required for viral replication (oncolytic virotherapy). For this purpose, the selected promoter should have minimal activity in normal cells to avoid side effects, and high activity in a wide variety of cancers to obtain optimal therapeutic efficacy. In contrast to the AFP, CEA and PSA promoters, which have high activity only in a limited spectrum of tumors, the E2F1 promoter exhibits high activity in wide variety of cancers. This is based on the mechanism of carcinogenesis. Defects in the RB pathway and activation of the transcription factor E2F, the main target of the RB pathway, are observed in almost all cancers. Consequently, the E2F1 promoter, which is mainly regulated by E2F, has high activity in wide variety of cancers. However, E2F is also activated by growth stimulation in normal growing cells, suggesting that the E2F1 promoter may also be highly active in normal growing cells. In contrast, we found that the tumor suppressor ARF promoter is activated by deregulated E2F activity, induced by forced inactivation of pRB, but does not respond to physiological E2F activity induced by growth stimulation. We also found that the deregulated E2F activity, which activates the ARF promoter, is detected only in cancer cell lines. These observations suggest that ARF promoter

  4. Gene Expression Analysis of Circulating Hormone Refractory Prostate Cancer Micrometastases

    Science.gov (United States)

    2009-01-01

    Genitourinary Cancer 2007; 5: 323-8. 10. Motzer RJ, Michaelson MD, Rosenberg JE, Bukowski RM, Curti BD, George DJ, Hudes GR, et al. Sunitinib efficacy...Rini BI, Michaelson DM, Rosenberg JE, Bukowski MR, Sosman JA, Stadler WM, Hutson TE, Margolin KA, Harmon CS, DePrimo SE, Kim ST, Chen I, George DJ...ORAL PRESENTATION) 2. Rini BI, George DJ, Michaelson MD, Rosenberg JE, Bukowski RM, Sosman JA, Stadler WM, Margolin K, Hutson TE, Baum CM

  5. Loss of circadian clock gene expression is associated with tumor progression in breast cancer.

    Science.gov (United States)

    Cadenas, Cristina; van de Sandt, Leonie; Edlund, Karolina; Lohr, Miriam; Hellwig, Birte; Marchan, Rosemarie; Schmidt, Marcus; Rahnenführer, Jörg; Oster, Henrik; Hengstler, Jan G

    2014-01-01

    Several studies suggest a link between circadian rhythm disturbances and tumorigenesis. However, the association between circadian clock genes and prognosis in breast cancer has not been systematically studied. Therefore, we examined the expression of 17 clock components in tumors from 766 node-negative breast cancer patients that were untreated in both neoadjuvant and adjuvant settings. In addition, their association with metastasis-free survival (MFS) and correlation to clinicopathological parameters were investigated. Aiming to estimate functionality of the clockwork, we studied clock gene expression relationships by correlation analysis. Higher expression of several clock genes (e.g., CLOCK, PER1, PER2, PER3, CRY2, NPAS2 and RORC) was found to be associated with longer MFS in univariate Cox regression analyses (HR<1 and FDR-adjusted P < 0.05). Stratification according to molecular subtype revealed prognostic relevance for PER1, PER3, CRY2 and NFIL3 in the ER+/HER2- subgroup, CLOCK and NPAS2 in the ER-/HER2- subtype, and ARNTL2 in HER2+ breast cancer. In the multivariate Cox model, only PER3 (HR = 0.66; P = 0.016) and RORC (HR = 0.42; P = 0.003) were found to be associated with survival outcome independent of established clinicopathological parameters. Pairwise correlations between functionally-related clock genes (e.g., PER2-PER3 and CRY2-PER3) were stronger in ER+, HER2- and low-grade carcinomas; whereas, weaker correlation coefficients were observed in ER- and HER2+ tumors, high-grade tumors and tumors that progressed to metastatic disease. In conclusion, loss of clock genes is associated with worse prognosis in breast cancer. Coordinated co-expression of clock genes, indicative of a functional circadian clock, is maintained in ER+, HER2-, low grade and non-metastasizing tumors but is compromised in more aggressive carcinomas.

  6. Quantitative gene expression underlying 18f-fluorodeoxyglucose uptake in colon cancer

    DEFF Research Database (Denmark)

    Engelmann, Bodil E.; Binderup, Tina; Kjær, Andreas;

    2015-01-01

    Background: Positron emission tomography (PET) with the glucose analogue 18F-fluorodeoxyglucose (FDG) is widely used in oncologic imaging. This study examines the molecular mechanism underlying the detection of colon cancer (CC) by FDG-PET. Methods: Pre-operative PET/CT scans and tissue samples....... Mean gene expression levels of GLUT1, HK2, ki67, HIF1α, VEGF and CaIX, but not HK1, were significantly higher in primary tumours than in surrounding normal colonic mucosa. Linear regressions pairing tumour SUVmax with gene expression levels showed significant correlations between SUVmax and HK2, ki67...

  7. Resistance gene expression determines the in vitro chemosensitivity of non-small cell lung cancer (NSCLC

    Directory of Open Access Journals (Sweden)

    Amer Khalid

    2009-08-01

    Full Text Available Abstract Background NSCLC exhibits considerable heterogeneity in its sensitivity to chemotherapy and similar heterogeneity is noted in vitro in a variety of model systems. This study has tested the hypothesis that the molecular basis of the observed in vitro chemosensitivity of NSCLC lies within the known resistance mechanisms inherent to these patients' tumors. Methods The chemosensitivity of a series of 49 NSCLC tumors was assessed using the ATP-based tumor chemosensitivity assay (ATP-TCA and compared with quantitative expression of resistance genes measured by RT-PCR in a Taqman Array™ following extraction of RNA from formalin-fixed paraffin-embedded (FFPE tissue. Results There was considerable heterogeneity between tumors within the ATP-TCA, and while this showed no direct correlation with individual gene expression, there was strong correlation of multi-gene signatures for many of the single agents and combinations tested. For instance, docetaxel activity showed some dependence on the expression of drug pumps, while cisplatin activity showed some dependence on DNA repair enzyme expression. Activity of both drugs was influenced more strongly still by the expression of anti- and pro-apoptotic genes by the tumor for both docetaxel and cisplatin. The doublet combinations of cisplatin with gemcitabine and cisplatin with docetaxel showed gene expression signatures incorporating resistance mechanisms for both agents. Conclusion Genes predicted to be involved in known mechanisms drug sensitivity and resistance correlate well with in vitro chemosensitivity and may allow the definition of predictive signatures to guide individualized chemotherapy in lung cancer.

  8. THE EXPRESSION AND CLINICAL VALUE OF APOPTOSIS CONTROL GENE Bcl-2 AND Bax IN BREAST CANCER

    Institute of Scientific and Technical Information of China (English)

    ZHENG Jun; YAO Zhen-xiang; ZHANG Jing

    1999-01-01

    Objective: To study the expression and clinical value of apoptosis control gene bcl-2 and bax in breast cancer.Methods: Protein bax and bcl-2 in 41 breast cancers obtained from operations in our hospital in 1996 were detected using ABC immunohistochemical stain assay and compared with 10 cases with normal breast tissues.Results: The positive rate of bax in normal breast tissue was 90% and in breast cancer was 59%, with a significant statistical difference between them (P<0.05), but there was no statistical difference in bcl-2 protein expression. Among the 41 breast cancer, the group with lymph node metastasis (21 cases) had obviously low bax expression (43%) and high bcl-2 expression (76%), showing significant difference to the group without lymph node metastasis (P<0.05).Conclusion: The antiapoptosis function of bcl-2 was stronger than bax in breast cancer. Protein bax and bcl-2 assay may be useful in understanding the biological behaviors of breast cancer.

  9. HAP1 gene expression is associated with radiosensitivity in breast cancer cells

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    Wu, Jing [The Fourth Clinical School of Nanjing Medical University, Nanjing, Jiangsu (China); Department of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China); Zhang, Jun-ying [Research Center of Clinical Oncology, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China); Yin, Li [Department of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China); Research Center of Clinical Oncology, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China); Wu, Jian-zhong [Research Center of Clinical Oncology, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China); Guo, Wen-jie; Wu, Jian-feng [Department of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China); Chen, Meng; Xia, You-you [The Fourth Clinical School of Nanjing Medical University, Nanjing, Jiangsu (China); Department of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China); Tang, Jin-hai [Department of General Surgery, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China); Ma, Yong-chao [Department of Hematology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu (China); He, Xia, E-mail: hexiadoctor@163.com [Department of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, Jiangsu (China)

    2015-01-02

    Highlights: • Overexpression of HAP1 gene promotes apoptosis in MCF-7 cells after irradiation. • HAP1 reduces tumor volume in nude mice xenograft models after irradiation. • HAP1 increases radiosensitivity of breast cancer cells in vitro and vivo. - Abstract: Objectives: The purpose of this study was to investigate the relationship between huntingtin-associated protein1 (HAP1) gene and radiation therapy of breast cancer cells. Methods: HAP1 gene was transfected into breast cancer MCF-7 cells, which was confirmed by quantitative reverse transcription-polymerase chain reaction analysis (qRT-PCR) and Western blot in vitro. The changes of cell radiosensitivity were assessed by colony formation assay. Apoptosis were examined by flow cytometry. The expressions of two radiation-induced genes were evaluated by Western blot. Tumor growth was investigated in nude mice xenograft models in vivo. Results: Our data showed that HAP1 gene expression was significantly increased in HAP1-transfected MCF-7 cells in comparison with the parental cells or negative control cells. The survival rate in MCF-7/HAP1 cells was significantly decreased after irradiation (0, 2, 4, 6, 8 Gy), compared to cells in MCF-7 and MCF-7/Pb groups in vitro. HAP1 gene increased apoptosis in MCF-7 cells after irradiation. Additionally, the tumor volume and weight in MCF-7/HAP1 + RT group were observably lower than in MCF-7/HAP1 group and MCF-7/Pb + RT group. Conclusion: The present study indicated that HAP1 gene expression was related to the radiosensitivity of breast cancer cells and may play an important role in the regulation of cellular radiosensitivity.

  10. Epigenetic modulation of cancer-germline antigen gene expression in tumorigenic human mesenchymal stem cells: implications for cancer therapy

    DEFF Research Database (Denmark)

    Gjerstorff, Morten; Burns, Jorge S; Nielsen, Ole;

    2009-01-01

    Cancer-germline antigens are promising targets for cancer immunotherapy, but whether such therapies will also eliminate the primary tumor stem cell population remains undetermined. We previously showed that long-term cultures of telomerized adult human bone marrow mesenchymal stem cells can...... spontaneously evolve into tumor-initiating, mesenchymal stem cells (hMSC-TERT20), which have characteristics of clinical sarcoma cells. In this study, we used the hMSC-TERT20 tumor stem cell model to investigate the potential of cancer-germline antigens to serve as tumor stem cell targets. We found...... that tumorigenic transformation of hMSC-TERT20 cells induced the expression of members of several cancer-germline antigen gene families (ie, GAGE, MAGE-A, and XAGE-1), with promoter hypomethylation and histone acetylation of the corresponding genes. Both in vitro cultures and tumor xenografts derived from...

  11. Limited clinical relevance of mitochondrial DNA mutation and gene expression analyses in ovarian cancer

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    Rachinger Andrea

    2008-10-01

    Full Text Available Abstract Background In recent years, numerous studies have investigated somatic mutations in mitochondrial DNA in various tumours. The observed high mutation rates might reflect mitochondrial deregulation; consequently, mutation analyses could be clinically relevant. The purpose of this study was to determine if mutations in the mitochondrial D-loop region and/or the level of mitochondrial gene expression could influence the clinical course of human ovarian carcinomas. Methods We sequenced a 1320-base-pair DNA fragment of the mitochondrial genome (position 16,000-750 in 54 cancer samples and in 44 corresponding germline control samples. In addition, six transcripts (MT-ATP6, MT-CO1, MT-CYB, MT-ND1, MT-ND6, and MT-RNR1 were quantified in 62 cancer tissues by real-time RT-PCR. Results Somatic mutations in the D-loop sequence were found in 57% of ovarian cancers. Univariate analysis showed no association between mitochondrial DNA mutation status or mitochondrial gene expression and any of the examined clinicopathologic parameters. A multivariate logistic regression model revealed that the expression of the mitochondrial gene RNR1 might be used as a predictor of tumour sensitivity to chemotherapy. Conclusion In contrast to many previously published papers, our study indicates rather limited clinical relevance of mitochondrial molecular analyses in ovarian carcinomas. These discrepancies in the clinical utility of mitochondrial molecular tests in ovarian cancer require additional large, well-designed validation studies.

  12. Characteristic gene expression profiles of benign prostatic hypertrophy and prostate cancer.

    Science.gov (United States)

    Endo, Takumi; Uzawa, Katsuhiro; Suzuki, Hiroyoshi; Tanzawa, Hideki; Ichikawa, Tomohiko

    2009-09-01

    The molecular mechanism playing a role in the development of benign prostate hypertrophy (BPH) and prostate cancer (PC) is not well defined. We performed microarray analysis to assess the gene expression change in BPH and PC, and performed network analysis. Normal prostate, BPH and PC tissues were obtained from patients who underwent an operation at Chiba University Hospital. Using Affymetrix Human Genome U133 Plus2.0 Array, we identified genes differentially expressed. The identified genes were analyzed using the Ingenuity Pathway Analysis (IPA) to investigate the functional network and gene ontology. The microarray analysis identified 402 genes in BPH and 141 genes in PC, which were up- or down-regulated at least 5.0-fold change in PC at all dose points. Analysis using IPA software revealed eight networks in BPH and five networks in PC. We narrowed these down to the top five genes, which were up- or down-regulated on the networks in their characteristic manner. From this new perspective, comparing BPH and PC in microarray studies, our data showing gene expression profiles provide candidate genes for better understanding of disease and new therapeutic targets.

  13. Vitamin D3 modulated gene expression patterns in human primary normal and cancer prostate cells.

    Science.gov (United States)

    Guzey, Meral; Luo, Jianhua; Getzenberg, Robert H

    2004-10-01

    The vitamin D receptor (VDR) is a member of the steroid/retinoid receptor superfamily of nuclear receptors and has potential tumor-suppressive functions in prostate and other cancer types. Vitamin D3 (VD3) exerts its biological actions by binding within cells to VDR. The VDR then interacts with specific regions of the DNA in cells, and triggers changes in the activity of genes involved in cell division, cell survival, and cellular function. Using human primary cultures and the prostate cancer (PCa) cell line, ALVA-31, we examined the effects of VD3 under different culture conditions. Complete G0/G1 arrest of ALVA-31 cells and approximately 50% inhibition of tumor stromal cell growth was observed. To determine changes in gene expression patterns related to VD3 activity, microarray analysis was performed. More than approximately 20,000 genes were evaluated for twofold relative increases and decreases in expression levels. A number of the gene targets that were up- and down-regulated are related to potential mechanisms of prostatic growth regulation. These include estrogen receptor (ER), heat shock proteins: 70 and 90, Apaf1, Her-2/neu, and paxillin. Utilizing antibodies generated against these targets, we were able to confirm the changes at the protein level. These newly reported gene expression patterns provide novel information not only potential markers, but also on the genes involved in VD3 induced apoptosis in PCa.

  14. HOP expression is regulated by p53 and RAS and characteristic of a cancer gene signature.

    Science.gov (United States)

    Mattison, Stacey A; Blatch, Gregory L; Edkins, Adrienne L

    2017-03-01

    The Hsp70/Hsp90 organising protein (HOP) is a co-chaperone essential for client protein transfer from Hsp70 to Hsp90 within the Hsp90 chaperone machine. Although HOP is upregulated in various cancers, there is limited information from in vitro studies on how HOP expression is regulated in cancer. The main objective of this study was to identify the HOP promoter and investigate its activity in cancerous cells. Bioinformatic analysis of the -2500 to +16 bp region of the HOP gene identified a large CpG island and a range of putative cis-elements. Many of the cis-elements were potentially bound by transcription factors which are activated by oncogenic pathways. Luciferase reporter assays demonstrated that the upstream region of the HOP gene contains an active promoter in vitro. Truncation of this region suggested that the core HOP promoter region was -855 to +16 bp. HOP promoter activity was highest in Hs578T, HEK293T and SV40- transformed MEF1 cell lines which expressed mutant or inactive p53. In a mutant p53 background, expression of wild-type p53 led to a reduction in promoter activity, while inhibition of wild-type p53 in HeLa cells increased HOP promoter activity. Additionally, in Hs578T and HEK293T cell lines containing inactive p53, expression of HRAS increased HOP promoter activity. However, HRAS activation of the HOP promoter was inhibited by p53 overexpression. These findings suggest for the first time that HOP expression in cancer may be regulated by both RAS activation and p53 inhibition. Taken together, these data suggest that HOP may be part of the cancer gene signature induced by a combination of mutant p53 and mutated RAS that is associated with cellular transformation.

  15. IN SILICO EXPRESSION ANALYSIS OF HUMAN NOVEL GENE UBAP1 IN MULTIPLE CANCERS

    Institute of Scientific and Technical Information of China (English)

    钱骏; 唐珂; 曹利; 李伟芳; 王蓉; 李桂源

    2002-01-01

    Objective: To identify the differential expression profile of human novel gene UBAP1, a putative nasopharyngeal neoplasms (NPC) relate gene, in multiple cancers. Methods: We first present an EST approach for electronic Northern in silico to analyse expression patterns of UBAP1 in tumor and normal tissues. Full length cDNA of UBAP1 gene was taken as a "probe" sequence, and a blastn search was performed against human EST Database. The Blastn report can be used to determine the fold differences between the pedigree ESTs in different libraries. Especially, the ESTs corresponding to UBAP1 present in fifteen tumor-derived libraries were compared against their normal counterpart to produce an electronic differential expression profile. Second, the distinct down-regulation of UBAP1 in meningioma, glioma, and colorectal tumor was confirmed by differentially RT-PCR analysis. Results: Database surveys indicated that UBAP1 gene was not only ubiquitously expressed in many normal tissues with various levels but also differentially expressed in different tumor tissues, especially down-regulated in multiple neoplastic tissues such as brain, breast, skin, colon, testis and uterus tumor tissues. Furthermore, differential RT-PCR analysis demonstrated that expression of UBAP1 was down-regulated or absent in 7 of 12 (58%) meningioma samples, 6 of 9 (66%) glioma and 7 of 11 (63%) colorectal tumor tissues respectively. Conclusion: we described a data mining procedure in silico that proved to be useful for the identification of differential expression patterns of UBAP1. These findings could be valuable for the investigation of the mechanism the differential expression of UBAP1 gene and its significance in the progression of multiple cancers.

  16. Gene Expression Programs in Response to Hypoxia: Cell Type Specificity and Prognostic Significance in Human Cancers.

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    2006-01-01

    Full Text Available BACKGROUND: Inadequate oxygen (hypoxia triggers a multifaceted cellular response that has important roles in normal physiology and in many human diseases. A transcription factor, hypoxia-inducible factor (HIF, plays a central role in the hypoxia response; its activity is regulated by the oxygen-dependent degradation of the HIF-1alpha protein. Despite the ubiquity and importance of hypoxia responses, little is known about the variation in the global transcriptional response to hypoxia among different cell types or how this variation might relate to tissue- and cell-specific diseases. METHODS AND FINDINGS: We analyzed the temporal changes in global transcript levels in response to hypoxia in primary renal proximal tubule epithelial cells, breast epithelial cells, smooth muscle cells, and endothelial cells with DNA microarrays. The extent of the transcriptional response to hypoxia was greatest in the renal tubule cells. This heightened response was associated with a uniquely high level of HIF-1alpha RNA in renal cells, and it could be diminished by reducing HIF-1alpha expression via RNA interference. A gene-expression signature of the hypoxia response, derived from our studies of cultured mammary and renal tubular epithelial cells, showed coordinated variation in several human cancers, and was a strong predictor of clinical outcomes in breast and ovarian cancers. In an analysis of a large, published gene-expression dataset from breast cancers, we found that the prognostic information in the hypoxia signature was virtually independent of that provided by the previously reported wound signature and more predictive of outcomes than any of the clinical parameters in current use. CONCLUSIONS: The transcriptional response to hypoxia varies among human cells. Some of this variation is traceable to variation in expression of the HIF1A gene. A gene-expression signature of the cellular response to hypoxia is associated with a significantly poorer prognosis

  17. Expression of a model gene in prostate cancer cells lentivirally transduced in vitro and in vivo.

    Science.gov (United States)

    Bastide, C; Maroc, N; Bladou, F; Hassoun, J; Maitland, N; Mannoni, P; Bagnis, C

    2003-01-01

    In a preclinical model for prostate cancer gene therapy, we have tested lentiviral vectors as a practical possibility for the transfer and long-term expression of the EGFP gene both in vitro and in vivo. The human prostate cancer cell lines DU145 and PC3 were transduced using experimental conditions which permitted analysis of the expression from a single proviral vector per cell. The transduced cells stably expressed the EGFP transgene for 4 months. After injection of the transduced cell populations into Nod-SCID mice a decrease in EGFP was only observed in a minority of cases, while the majority of tumors maintained transgene expression at in vitro levels. In vivo injection of viral vector preparations directly into pre-established subcutaneous or orthotopic tumor masses, obtained by implantation of untransduced PC3 and DU145 cells led to a high transduction efficiency. While the efficiency of direct intratumoral transduction was proportional to the dose of virus injected, the results indicated some technical limitations inherent in these approaches to prostate cancer gene therapy.

  18. Diminished expression of MGMT & RASSF1A genes in gastric cancer in ethnic population of Kashmir

    Science.gov (United States)

    Bhat, Arif Akbar; Wani, Hilal Ahmad; Waza, Ajaz Ahmad; Malik, Rawoof Ahmad; Masood, Akbar; Jeelani, Showkat; Kadla, Showkat

    2016-01-01

    Background Cancer initiation and progression are accompanied by profound changes in DNA. DNA methylation that was the first epigenetic alterations identified in cancer. DNA hypermethylation at promoter sites is closely associated with down regulation of protein and as major participant in the development and progression of series of human tumors. Therefore we hypothesized that promoter hypermethylation of RASSF1A & MGMT gene could influence susceptibility to gastric cancer (GC) as well, and we conducted this study to test the hypothesis in Kashmiri population. Methods A hospital based case-control study; including 200 GC cases and 200 matched controls from patients who went surgical resection. Promoter hypermethylation was determined by Methylation Specific Polymerase chain reaction. The expression of MGMT & RASSF1A protein was examined by Western blotting technique. Results Frequency of promoter region hypermethylation of MGMT gene were 46.5% in cases and 5.5% in controls (PMGMT expression was found in 46.5% cases (P<0.05) while as loss of RASSF1A expression was found in 40.5% cases (P<0.05). In both genes a positive correlation was observed between promoter CpG island hypermethylation and down regulation of respective proteins. Conclusions These findings indicate that promoter hypermethylation at CpG island may be responsible for reduction of expression at protein level which may be an initial event in carcinogenesis and the progression of GC. PMID:28078123

  19. A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks.

    Science.gov (United States)

    Lancashire, L J; Powe, D G; Reis-Filho, J S; Rakha, E; Lemetre, C; Weigelt, B; Abdel-Fatah, T M; Green, A R; Mukta, R; Blamey, R; Paish, E C; Rees, R C; Ellis, I O; Ball, G R

    2010-02-01

    Gene expression microarrays allow for the high throughput analysis of huge numbers of gene transcripts and this technology has been widely applied to the molecular and biological classification of cancer patients and in predicting clinical outcome. A potential handicap of such data intensive molecular technologies is the translation to clinical application in routine practice. In using an artificial neural network bioinformatic approach, we have reduced a 70 gene signature to just 9 genes capable of accurately predicting distant metastases in the original dataset. Upon validation in a follow-up cohort, this signature was an independent predictor of metastases free and overall survival in the presence of the 70 gene signature and other factors. Interestingly, the ANN signature and CA9 expression also split the groups defined by the 70 gene signature into prognostically distinct groups. Subsequently, the presence of protein for the principal prognosticator gene was categorically assessed in breast cancer tissue of an experimental and independent validation patient cohort, using immunohistochemistry. Importantly our principal prognosticator, CA9, showed that it is capable of selecting an aggressive subgroup of patients who are known to have poor prognosis.

  20. Pathways enrichment analysis for differentially expressed genes in squamous lung cancer.

    Science.gov (United States)

    Qian, Liqiang; Luo, Qingquan; Zhao, Xiaojing; Huang, Jia

    2014-01-01

    Squamous lung cancer (SQLC) is a common type of lung cancer, but its oncogenesis mechanism is not so clear. The aim of this study was to screen the potential pathways changed in SQLC and elucidate the mechanism of it. Published microarray data of GSE3268 series was downloaded from Gene Expression Omnibus (GEO). Significance analysis of microarrays was performed using software R, and differentially expressed genes (DEGs) were harvested. The functions and pathways of DEGs were mapped in Gene Otology and KEGG pathway database, respectively. A total of 2961 genes were filtered as DEGs between normal and SQLC cells. Cell cycle and metabolism were the mainly changed functions of SQLC cells. Meanwhile genes such as MCM, RFC, FEN1, and POLD may induce SQLC through DNA replication pathway, and genes such as PTTG1, CCNB1, CDC6, and PCNA may be involved in SQLC through cell cycle pathway. It is demonstrated that pathway analysis is useful in the identification of target genes in SQLC.

  1. Identification of Differently Expressed Genes in Chemical Carcinogen-induced Rat Bladder Cancers

    Institute of Scientific and Technical Information of China (English)

    Guangfu CHEN; Franky L. CHAN; Xu ZHANG; Peter S.F. CHAN

    2009-01-01

    Possible altered gene expression patterns in bladder turnout carcinogenesis in rat bladder cancers induced by BBN [N-butyl-N-(4-hydroxybutyl)nitrosamine] was examined by cDNA microarray analysis of gene expression profiles.Thirty Sprague-Dawley rats were given drinking water containing 0.05% BBN ad libitum for 24 to 28-weeks.Equal numbers of control rats were given tap water without BBN.After treatment,the rat bladders were excised for RNA extraction and histopathological examinations.Total RNAs were extracted from rat transitional cell carcinoma (TCC) tissues and micro-dissected normal rat bladder epithelia.The atlas glass rat microarray was used,which included oligonucleotides of 1081 rat genes.Some of the up-regulated genes in rat bladder TCCs were further confirmed by Northern blotting.Our results showed that the transcriptions of 30 genes were significantly elevated in the rat bladder TCCs,and these included fly proto-oncogene,Lipocortin 2,COX Ⅳ,COX Ⅴ a,and cathepsin D.Also,15 genes were significantly down-regulated in the rat bladder TCCs and they included B7.1,TNFrl,APOAI and VHL.The resuits of cDNA microarray analysis demonstrated that normal rat bladder epithelia and bladder TCC exhibited different and specific gene statement profiles.The increased expressions of the identified genes may play an important role in the chemically induced bladder carcinogenesis.

  2. Glycan-related gene expression signatures in breast cancer subtypes; relation to survival.

    Science.gov (United States)

    Potapenko, Ivan O; Lüders, Torben; Russnes, Hege G; Helland, Åslaug; Sørlie, Therese; Kristensen, Vessela N; Nord, Silje; Lingjærde, Ole C; Børresen-Dale, Anne-Lise; Haakensen, Vilde D

    2015-04-01

    Alterations in glycan structures are early signs of malignancy and have recently been proposed to be in part a driving force behind malignant transformation. Here, we explore whether differences in expression of genes related to the process of glycosylation exist between breast carcinoma subtypes - and look for their association to clinical parameters. Five expression datasets of 454 invasive breast carcinomas, 31 ductal carcinomas in situ (DCIS), and 79 non-malignant breast tissue samples were analysed. Results were validated in 1960 breast carcinomas. 419 genes encoding glycosylation-related proteins were selected. The DCIS samples appeared expression-wise similar to carcinomas, showing altered gene expression related to glycosaminoglycans (GAGs) and N-glycans when compared to non-malignant samples. In-situ lesions with different aggressiveness potentials demonstrated changes in glycosaminoglycan sulfation and adhesion proteins. Subtype-specific expression patterns revealed down-regulation of genes encoding glycan-binding proteins in the luminal A and B subtypes. Clustering basal-like samples using a consensus list of genes differentially expressed across discovery datasets produced two clusters with significantly differing prognosis in the validation dataset. Finally, our analyses suggest that glycolipids may play an important role in carcinogenesis of breast tumors - as demonstrated by association of B3GNT5 and UGCG genes to patient survival. In conclusion, most glycan-specific changes occur early in the carcinogenic process. We have identified glycan-related alterations specific to breast cancer subtypes including a prognostic signature for two basal-like subgroups. Future research in this area may potentially lead to markers for better prognostication and treatment stratification of breast cancer patients.

  3. Relationship between promoter methylation & tissue expression of MGMT gene in ovarian cancer

    Directory of Open Access Journals (Sweden)

    V Shilpa

    2014-01-01

    Full Text Available Background & objectives: Epigenetic alterations, in addition to multiple gene abnormalities, are involved in the genesis and progression of human cancers. Aberrant methylation of CpG islands within promoter regions is associated with transcriptional inactivation of various tumour suppressor genes. O 6 -methyguanine-DNA methyltransferase (MGMT is a DNA repair gene that removes mutagenic and cytotoxic adducts from the O 6 -position of guanine induced by alkylating agents. MGMT promoter hypermethylation and reduced expression has been found in some primary human carcinomas. We studied DNA methylation of CpG islands of the MGMT gene and its relation with MGMT protein expression in human epithelial ovarian carcinoma. Methods: A total of 88 epithelial ovarian cancer (EOC tissue samples, 14 low malignant potential (LMP tumours and 20 benign ovarian tissue samples were analysed for MGMT promoter methylation by nested methylation-specific polymerase chain reaction (MSP after bisulphite modification of DNA. A subset of 64 EOC samples, 10 LMP and benign tumours and five normal ovarian tissue samples were analysed for protein expression by immunohistochemistry. Results: The methylation frequencies of the MGMT gene promoter were found to be 29.5, 28.6 and 20 per cent for EOC samples, LMP tumours and benign cases, respectively. Positive protein expression was observed in 93.8 per cent of EOC and 100 per cent in LMP, benign tumours and normal ovarian tissue samples. Promoter hypermethylation with loss of protein expression was seen only in one case of EOC. Interpretation & conclusions: Our results suggest that MGMT promoter hypermethylation does not always reflect gene expression.

  4. Differentially expressed genes associated with the metastatic phenotype in breast cancer.

    Science.gov (United States)

    Kirschmann, D A; Seftor, E A; Nieva, D R; Mariano, E A; Hendrix, M J

    1999-05-01

    We have previously shown that human breast carcinoma cells demonstrating an interconverted phenotype, where keratin (epithelial marker) and vimentin (mesenchymal marker) intermediate filaments are both expressed, have an increased ability to invade a basement membrane matrix in vitro. This increase in invasive potential has been demonstrated in MDA-MB-231 cells, which constitutively express keratins and vimentin, and in MCF-7 cells transfected with the mouse vimentin gene (MoVi). However, vimentin expression alone is not sufficient to confer the complete metastatic phenotype in MoVi cells, as determined by orthotopic administration. Thus, in the present study, differential display analysis was utilized to identify genes that are associated with the invasive and/or metastatic phenotype of several human breast cancer cell lines. Forty-four of 84 PCR fragments were differentially expressed as assessed by Northern hybridization analysis of RNA isolated from MCF-7, MoVi, and MB-231 cell lines. Polyadenylated RNA from a panel of poorly invasive, invasive/non-metastatic, and invasive/metastatic breast carcinoma cell lines was used to differentiate between cell-specific gene expression and genes associated with the invasive and/or metastatic phenotype(s). We observed that lysyl oxidase and a zinc finger transcription factor were expressed only in the invasive and/or metastatic cell lines; whereas, a thiol-specific antioxidant and a heterochromatin protein were down-regulated in these cells. In contrast, tissue factor was expressed only in breast carcinoma cell lines having the highest invasive potential. These results suggest that specific genes involved in breast cancer invasion and metastasis can be separated by differential display methodology to elucidate the molecular basis of tumor cell progression.

  5. Expression of PER, CRY, and TIM genes for the pathological features of colorectal cancer patients [Retraction

    Directory of Open Access Journals (Sweden)

    Wang Y

    2016-09-01

    Full Text Available Wang Y, Cheng YS, Yu G, et al. Expression of PER, CRY, and TIM genes for the pathological features of colorectal cancer patients. OncoTargets and Therapy. 2016;9:1997–2005.Concerns about this paper were raised by a reader. Upon seeking an explanation from the authors we conclude that the content and data in the paper were extensively plagiarized from:Mazzocoli G, Panza A, Valvano MR, et al. Clock Gene Expression Levels and Relationship with Clinical and Pathological Features in Colorectal Cancer Patients. Chronobiology International. 2011;28(10:841–851.Dr Faris Farassati has decided that the paper in OncoTargets and Therapy should be retracted, and the relevant supervisors at the authors institutions are advised of this decision.This Retraction relates to this article   

  6. Gene expression profile of esophageal cancer in North East India by cDNA microarray analysis

    Institute of Scientific and Technical Information of China (English)

    Indranil Chattopadhyay; Sujala Kapur; Joydeep Purkayastha; Rupkumar Phukan; Amal Kataki; Jagadish Mahanta; Sunita Saxena

    2007-01-01

    AIM: To identify alterations in genes and molecular functional pathways in esophageal cancer in a high incidence region of India where there is a widespread use of tobacco and betel quid with fermented areca nuts.METHODS: Total RNA was isolated from tumor and matched normal tissue of 16 patients with esophageal squamous cell carcinoma. Pooled tumor tissue RNA was labeled with Cy3-dUTP and pooled normal tissue RNA was labeled with Cy5-dUTP by direct labeling method.The labeled probes were hybridized with human 10K cDNA chip and expression profiles were analyzed by Genespring GX V 7.3 (Silicon Genetics).RESULTS: Nine hundred twenty three genes were differentially expressed. Of these, 611 genes were upregulated and 312 genes were downregulated. Using stringent criteria (P ≤ 0.05 and ≥ 1.5 fold change),127 differentially expressed genes (87 upregulated and 40 downregulated) were identified in tumor tissue. On the basis of Gene Ontology, four different molecular functional pathways (MAPK pathway,G-protein coupled receptor family, ion transport activity,and serine or threonine kinase activity) were most significantly upregulated and six different molecular functional pathways (structural constituent of ribosome,endopeptidase inhibitor activity, structural constituent of cytoskeleton, antioxidant activity, acyl group transferase activity, eukaryotic translation elongation factor activity)were most significantly downregulated.CONCLUSION: Several genes that showed alterations in our study have also been reported from a high incidence area of esophageal cancer in China. This indicates that molecular profiles of esophageal cancer in these two different geographic locations are highly consistent.

  7. Gene expression signature of estrogen receptor α status in breast cancer

    Directory of Open Access Journals (Sweden)

    Baggerly Keith

    2005-03-01

    Full Text Available Abstract Background Estrogens are known to regulate the proliferation of breast cancer cells and to modify their phenotypic properties. Identification of estrogen-regulated genes in human breast tumors is an essential step toward understanding the molecular mechanisms of estrogen action in cancer. To this end we generated and compared the Serial Analysis of Gene Expression (SAGE profiles of 26 human breast carcinomas based on their estrogen receptor α (ER status. Thus, producing a breast cancer SAGE database of almost 2.5 million tags, representing over 50,000 transcripts. Results We identified 520 transcripts differentially expressed between ERα-positive (+ and ERα-negative (- primary breast tumors (Fold change ≥ 2; p Estrogen Responsive Elements (EREs distributed on the promoter regions of 163 out of the 473 up-modulated genes in ERα (+ breast tumors. In brief, we observed predominantly up-regulation of cell growth related genes, DNA binding and transcription factor activity related genes based on Gene Ontology (GO biological functional annotation. GO terms over-representation analysis showed a statistically significant enrichment of various transcript families including: metal ion binding related transcripts (p = 0.011, calcium ion binding related transcripts (p = 0.033 and steroid hormone receptor activity related transcripts (p = 0.031. SAGE data associated with ERα status was compared with reported information from breast cancer DNA microarrays studies. A significant proportion of ERα associated gene expression changes was validated by this cross-platform comparison. However, our SAGE study also identified novel sets of genes as highly expressed in ERα (+ invasive breast tumors not previously reported. These observations were further validated in an independent set of human breast tumors by means of real time RT-PCR. Conclusion The integration of the breast cancer comparative transcriptome analysis based on ERα status coupled to

  8. A distinct gene expression signature characterizes human neuroblastoma cancer stem cells.

    Science.gov (United States)

    Ross, Robert A; Walton, Jeanette D; Han, Dan; Guo, Hong-Fen; Cheung, Nai-Kong V

    2015-09-01

    Neuroblastoma, a malignancy of multipotent embryonic neural crest cells, is the most common extracranial solid cancer in childhood and most common cancer in infancy. Cellular phenotype has been shown to be an important determinant of the malignant potential in human neuroblastoma cells and tumors. Whereas neuroblastic (N-type) are moderately malignant and nonneuronal (S-type) cells are nonmalignant, I-type stem cells are highly tumorigenic, irrespective of N-myc amplification status. In the present study, we sought to determine which genes were overexpressed in the I-type cells which might characterize and maintain the stem cell state and/or malignancy of human neuroblastoma cancer stem cells. We used a microarray platform to compare the steady-state expression levels of mRNAs from 13 human neuroblastoma cell lines representing the three cellular phenotypes. Using qRT-PCR and Western blot analyses, we identified seven genes whose expression is consistently elevated exclusively in neuroblastoma cancer stem cells: CD133, KIT, NOTCH1, GPRC5C, PIGF2, TRKB, and LNGFR. Moreover, we show that the genes are phenotype specific, as differentiation of I-type BE(2)-C cells to either an N- or S-type morphology results in significantly reduced mRNA expression. Finally, we show that NOTCH1 plays an important role in maintaining the stem cell phenotype. The identification and characterization of these genes, elevated in highly malignant neuroblastoma stem cells, could provide the basis for developing novel therapies for treatment of this lethal childhood cancer.

  9. EXPRESSION PATTERN OF LUNG CANCER RELATED GENES IN MALIGNANT TRANSFORMATION OF BEP2D

    Institute of Scientific and Technical Information of China (English)

    范保星; 张开泰; 李刚; 谢玲; 马淑华; 葛世丽; 项小琼; 胡迎春; 王升启; 周平坤; 吴德昌

    2002-01-01

    Objective: To detect the expression difference of 60 lung cancer associated genes in human bronchial epithelial malignant transformation cell model (BEP2D) induced by alpha-particles. Methods: 60 lung cancer associated genes were collected and micro-arrayed onto the microscope slides using Cartesian PixSys5500 cDNA Microarray machine. Total RNA from BEP2D cells and passage 20 (Rl5H-20), passage 35 (R15H-35) cells derived from BEP2D following 1.5 Gy alpha-particles was extracted and labeled by fluorescent dye. The labeled probe was then hybridized with the cDNA. Results: 40, 47, 20 genes were detected in BEP2D, R15H-20 and R15H-35 respectively. The expression level of tumor suppressor genes decreased greatly in the transformed R15H-35. Most oncogenes decreased slightly in R15H-20. Most growth factors expressed only in R15H-20. Conclusion: In human bronchial epithelial malignant transformed cell model generated by alpha-particles, the loss-function of tumor suppressor genes at initiation stage was dominant, some related oncogenes and growth factors promoted the malignant transformation.

  10. Pubertal Social Isolation and Hypervigilance Regulate Gene Expression Mechanisms of Mammary Differentiation and Cancer Risks

    Science.gov (United States)

    2010-08-01

    which prevent pheromonal communication within our animal colony. Fortunately, the mouse’s response to pheromonal isolation is opposite that of rats...central nervous system of mice and the peripheral blood lymphocytes of humans . To examine gene expression differences, RNA was extracted from a subset of...hexokinase 2 (Hk2). The human orthologues of mouse Acly and Acaca were previously shown to be upregulated in aggressive, metastatic breast cancer cell

  11. Androgen receptor regulation of the seladin-1/DHCR24 gene: altered expression in prostate cancer.

    Science.gov (United States)

    Bonaccorsi, Lorella; Luciani, Paola; Nesi, Gabriella; Mannucci, Edoardo; Deledda, Cristiana; Dichiara, Francesca; Paglierani, Milena; Rosati, Fabiana; Masieri, Lorenzo; Serni, Sergio; Carini, Marco; Proietti-Pannunzi, Laura; Monti, Salvatore; Forti, Gianni; Danza, Giovanna; Serio, Mario; Peri, Alessandro

    2008-10-01

    Prostate cancer (CaP) represents a major leading cause of morbidity and mortality in the Western world. Elevated cholesterol levels, resulting from altered cholesterol metabolism, have been found in CaP cells. Seladin-1 (SELective Alzheimer Disease INdicator-1)/DHCR24 is a recently described gene involved in cholesterol biosynthesis. Here, we demonstrated the androgen regulation of seladin-1/DHCR24 expression, due to the presence of androgen responsive element sequences in its promoter region. In metastatic androgen receptor-negative CaP cells seladin-1/DHCR24 expression and cholesterol amount were reduced compared to androgen receptor-positive cells. In tumor samples from 61 patients who underwent radical prostatectomy the expression of seladin-1/DHCR24 was significantly higher with respect to normal tissues. In addition, in cancer tissues mRNA levels were positively related to T stage. In tumor specimens from 23 patients who received androgen ablation treatment for 3 months before surgery seladin-1/DHCR24 expression was significantly lower with respect to patients treated by surgery only. In conclusion, our study demonstrated for the first time the androgen regulation of the seladin-1/DHCR24 gene and the presence of a higher level of expression in CaP tissues, compared to the normal prostate. These findings, together with the results previously obtained in metastatic disease, suggest an involvement of this gene in CaP.

  12. Triple Negative Breast Cancers Have a Reduced Expression of DNA Repair Genes

    Science.gov (United States)

    Andreis, Daniele; Bertoni, Ramona; Giardini, Roberto; Fox, Stephen B.; Broggini, Massimo; Bottini, Alberto; Zanoni, Vanessa; Bazzola, Letizia; Foroni, Chiara; Generali, Daniele; Damia, Giovanna

    2013-01-01

    DNA repair is a key determinant in the cellular response to therapy and tumor repair status could play an important role in tailoring patient therapy. Our goal was to evaluate the mRNA of 13 genes involved in different DNA repair pathways (base excision, nucleotide excision, homologous recombination, and Fanconi anemia) in paraffin embedded samples of triple negative breast cancer (TNBC) compared to luminal A breast cancer (LABC). Most of the genes involved in nucleotide excision repair and Fanconi Anemia pathways, and CHK1 gene were significantly less expressed in TNBC than in LABC. PARP1 levels were higher in TNBC than in LABC. In univariate analysis high level of FANCA correlated with an increased overall survival and event free survival in TNBC; however multivariate analyses using Cox regression did not confirm FANCA as independent prognostic factor. These data support the evidence that TNBCs compared to LABCs harbour DNA repair defects. PMID:23825533

  13. Gene expression profile of circulating tumor cells in breast cancer by RT-qPCR

    Directory of Open Access Journals (Sweden)

    Mavroudis Dimitris

    2011-10-01

    Full Text Available Abstract Background Circulating tumor cells (CTCs have been associated with prognosis especially in breast cancer and have been proposed as a liquid biopsy for repeated follow up examinations. Molecular characterization of CTCs is difficult to address since they are very rare and the amount of available sample is very limited. Methods We quantified by RT-qPCR CK-19, MAGE-A3, HER-2, TWIST1, hTERT α+β+, and mammaglobin gene transcripts in immunomagnetically positively selected CTCs from 92 breast cancer patients, and 28 healthy individuals. We also compared our results with the CellSearch system in 33 of these patients with early breast cancer. Results RT-qPCR is highly sensitive and specific and can detect the expression of each individual gene at the one cell level. None of the genes tested was detected in the group of healthy donors. In 66 operable breast cancer patients, CK-19 was detected in 42.4%, HER-2 in 13.6%, MAGE-A3 in 21.2%, hMAM in 13.6%, TWIST-1 in 42.4%, and hTERT α+β+ in 10.2%. In 26 patients with verified metastasis, CK-19 was detected in 53.8%, HER-2 in 19.2%, MAGE-A3 in 15.4%, hMAM in 30.8%, TWIST-1 in 38.5% and hTERT α+β+in 19.2%. Our preliminary data on the comparison between RT-qPCR and CellSearch in 33 early breast cancer patients showed that RT-qPCR gives more positive results in respect to CellSearch. Conclusions Molecular characterization of CTCs has revealed a remarkable heterogeneity of gene expression between breast cancer patients. In a small percentage of patients, CTCs were positive for all six genes tested, while in some patients only one of these genes was expressed. The clinical significance of these findings in early breast cancer remains to be elucidated when the clinical outcome for these patients is known.

  14. Gene expression profiling differentiates germ cell tumors from other cancers and defines subtype-specific signatures

    Science.gov (United States)

    Juric, Dejan; Sale, Sanja; Hromas, Robert A.; Yu, Ron; Wang, Yan; Duran, George E.; Tibshirani, Robert; Einhorn, Lawrence H.; Sikic, Branimir I.

    2005-01-01

    Germ cell tumors (GCTs) of the testis are the predominant cancer among young men. We analyzed gene expression profiles of 50 GCTs of various subtypes, and we compared them with 443 other common malignant tumors of epithelial, mesenchymal, and lymphoid origins. Significant differences in gene expression were found among major histological subtypes of GCTs, and between them and other malignancies. We identified 511 genes, belonging to several critical functional groups such as cell cycle progression, cell proliferation, and apoptosis, to be significantly differentially expressed in GCTs compared with other tumor types. Sixty-five genes were sufficient for the construction of a GCT class predictor of high predictive accuracy (100% training set, 96% test set), which might be useful in the diagnosis of tumors of unknown primary origin. Previously described diagnostic and prognostic markers were found to be expressed by the appropriate GCT subtype (AFP, POU5F1, POV1, CCND2, and KIT). Several additional differentially expressed genes were identified in teratomas (EGR1 and MMP7), yolk sac tumors (PTPN13 and FN1), and seminomas (NR6A1, DPPA4, and IRX1). Dynamic computation of interaction networks and mapping to existing pathways knowledge databases revealed a potential role of EGR1 in p21-induced cell cycle arrest and intrinsic chemotherapy resistance of mature teratomas. PMID:16306258

  15. Transcriptional Regulation of Fucosyltransferase 1 Gene Expression in Colon Cancer Cells

    Directory of Open Access Journals (Sweden)

    Fumiko Taniuchi

    2013-01-01

    Full Text Available The α1,2-fucosyltransferase I (FUT1 enzyme is important for the biosynthesis of H antigens, Lewis B, and Lewis Y. In this study, we clarified the transcriptional regulation of FUT1 in the DLD-1 colon cancer cell line, which has high expression of Lewis B and Lewis Y antigens, expresses the FUT1 gene, and shows α1,2-fucosyltransferase (FUT activity. 5′-rapid amplification of cDNA ends revealed a FUT1 transcriptional start site −10 nucleotides upstream of the site registered at NM_000148 in the DataBase of Human Transcription Start Sites (DBTSS. Using the dual luciferase assay, FUT1 gene expression was shown to be regulated at the region −91 to −81 nt to the transcriptional start site, which contains the Elk-1 binding site. Site-directed mutagenesis of this region revealed the Elk-1 binding site to be essential for FUT1 transcription. Furthermore, transfection of the dominant negative Elk-1 gene, and the chromatin immunoprecipitation (CHIp assay, supported Elk-1-dependent transcriptional regulation of FUT1 gene expression in DLD-1 cells. These results suggest that a defined region in the 5′-flanking region of FUT1 is critical for FUT1 transcription and that constitutive gene expression of FUT1 is regulated by Elk-1 in DLD-1 cells.

  16. Meta-analysis of gene expression signatures defining the epithelial to mesenchymal transition during cancer progression.

    Directory of Open Access Journals (Sweden)

    Christian J Gröger

    Full Text Available The epithelial to mesenchymal transition (EMT represents a crucial event during cancer progression and dissemination. EMT is the conversion of carcinoma cells from an epithelial to a mesenchymal phenotype that associates with a higher cell motility as well as enhanced chemoresistance and cancer stemness. Notably, EMT has been increasingly recognized as an early event of metastasis. Numerous gene expression studies (GES have been conducted to obtain transcriptome signatures and marker genes to understand the regulatory mechanisms underlying EMT. Yet, no meta-analysis considering the multitude of GES of EMT has been performed to comprehensively elaborate the core genes in this process. Here we report the meta-analysis of 18 independent and published GES of EMT which focused on different cell types and treatment modalities. Computational analysis revealed clustering of GES according to the type of treatment rather than to cell type. GES of EMT induced via transforming growth factor-β and tumor necrosis factor-α treatment yielded uniformly defined clusters while GES of models with alternative EMT induction clustered in a more complex fashion. In addition, we identified those up- and downregulated genes which were shared between the multitude of GES. This core gene list includes well known EMT markers as well as novel genes so far not described in this process. Furthermore, several genes of the EMT-core gene list significantly correlated with impaired pathological complete response in breast cancer patients. In conclusion, this meta-analysis provides a comprehensive survey of available EMT expression signatures and shows fundamental insights into the mechanisms that are governing carcinoma progression.

  17. Gene expression correlations in human cancer cell lines define molecular interaction networks for epithelial phenotype.

    Directory of Open Access Journals (Sweden)

    Kurt W Kohn

    Full Text Available Using gene expression data to enhance our knowledge of control networks relevant to cancer biology and therapy is a challenging but urgent task. Based on the premise that genes that are expressed together in a variety of cell types are likely to functions together, we derived mutually correlated genes that function together in various processes in epithelial-like tumor cells. Expression-correlated genes were derived from data for the NCI-60 human tumor cell lines, as well as data from the Broad Institute's CCLE cell lines. NCI-60 cell lines that selectively expressed a mutually correlated subset of tight junction genes served as a signature for epithelial-like cancer cells. Those signature cell lines served as a seed to derive other correlated genes, many of which had various other epithelial-related functions. Literature survey yielded molecular interaction and function information about those genes, from which molecular interaction maps were assembled. Many of the genes had epithelial functions unrelated to tight junctions, demonstrating that new function categories were elicited. The most highly correlated genes were implicated in the following epithelial functions: interactions at tight junctions (CLDN7, CLDN4, CLDN3, MARVELD3, MARVELD2, TJP3, CGN, CRB3, LLGL2, EPCAM, LNX1; interactions at adherens junctions (CDH1, ADAP1, CAMSAP3; interactions at desmosomes (PPL, PKP3, JUP; transcription regulation of cell-cell junction complexes (GRHL1 and 2; epithelial RNA splicing regulators (ESRP1 and 2; epithelial vesicle traffic (RAB25, EPN3, GRHL2, EHF, ADAP1, MYO5B; epithelial Ca(+2 signaling (ATP2C2, S100A14, BSPRY; terminal differentiation of epithelial cells (OVOL1 and 2, ST14, PRSS8, SPINT1 and 2; maintenance of apico-basal polarity (RAB25, LLGL2, EPN3. The findings provide a foundation for future studies to elucidate the functions of regulatory networks specific to epithelial-like cancer cells and to probe for anti-cancer drug targets.

  18. Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development

    Directory of Open Access Journals (Sweden)

    Jesús Lascorz

    2011-01-01

    Full Text Available Background: A large number of gene expression profiling (GEP studies on colorectal carcinogenesis have been performed but no reliable gene signature has been identified so far due to the lack of reproducibility in the reported genes. There is growing evidence that functionally related genes, rather than individual genes, contribute to the etiology of complex traits. We used, as a novel approach, pathway enrichment tools to define functionally related genes that are consistently up- or down-regulated in colorectal carcinogenesis. Materials and Methods: We started the analysis with 242 unique annotated genes that had been reported by any of three recent meta-analyses covering GEP studies on genes differentially expressed in carcinoma vs normal mucosa. Most of these genes (218, 91.9% had been reported in at least three GEP studies. These 242 genes were submitted to bioinformatic analysis using a total of nine tools to detect enrichment of Gene Ontology (GO categories or Kyoto Encyclopedia of Genes and Genomes (KEGG pathways. As a final consistency criterion the pathway categories had to be enriched by several tools to be taken into consideration. Results: Our pathway-based enrichment analysis identified the categories of ribosomal protein constituents, extracellular matrix receptor interaction, carbonic anhydrase isozymes, and a general category related to inflammation and cellular response as significantly and consistently overrepresented entities. Conclusions: We triaged the genes covered by the published GEP literature on colorectal carcinogenesis and subjected them to multiple enrichment tools in order to identify the consistently enriched gene categories. These turned out to have known functional relationships to cancer development and thus deserve further investigation.

  19. Estrogen Receptor beta 2 Induces Hypoxia Signature of Gene Expression by Stabilizing HIF-1 alpha in Prostate Cancer

    OpenAIRE

    Prasenjit Dey; Velazquez-Villegas, Laura A.; Michelle Faria; Anthony Turner; Philp Jonsson; Paul Webb; Cecilia Williams; Jan-Åke Gustafsson; Ström, Anders M.

    2015-01-01

    The estrogen receptor (ER) beta variant ER beta 2 is expressed in aggressive castration-resistant prostate cancer and has been shown to correlate with decreased overall survival. Genome-wide expression analysis after ER beta 2 expression in prostate cancer cells revealed that hypoxia was an overrepresented theme. Here we show that ER beta 2 interacts with and stabilizes HIF-1 alpha protein in normoxia, thereby inducing a hypoxic gene expression signature. HIF-1 alpha is known to stimulate met...

  20. Differential expression of the klf6 tumor suppressor gene upon cell damaging treatments in cancer cells

    Energy Technology Data Exchange (ETDEWEB)

    Gehrau, Ricardo C.; D' Astolfo, Diego S.; Andreoli, Veronica [Centro de Investigaciones en Bioquimica Clinica e Inmunologia (CIBICI-CONICET), Departamento de Bioquimica Clinica, Facultad de Ciencias Quimicas, Universidad Nacional de Cordoba, Haya de la Torre y Medina Allende, Ciudad Universitaria, 5000 Cordoba (Argentina); Bocco, Jose L., E-mail: jbocco@fcq.unc.edu.ar [Centro de Investigaciones en Bioquimica Clinica e Inmunologia (CIBICI-CONICET), Departamento de Bioquimica Clinica, Facultad de Ciencias Quimicas, Universidad Nacional de Cordoba, Haya de la Torre y Medina Allende, Ciudad Universitaria, 5000 Cordoba (Argentina); Koritschoner, Nicolas P. [Centro de Investigaciones en Bioquimica Clinica e Inmunologia (CIBICI-CONICET), Departamento de Bioquimica Clinica, Facultad de Ciencias Quimicas, Universidad Nacional de Cordoba, Haya de la Torre y Medina Allende, Ciudad Universitaria, 5000 Cordoba (Argentina)

    2011-02-10

    The mammalian Krueppel-like factor 6 (KLF6) is involved in critical roles such as growth-related signal transduction, cell proliferation and differentiation, development, apoptosis and angiogenesis. Also, KLF6 appears to be an emerging key factor during cancer development and progression. Its expression is thoroughly regulated by several cell-damaging stimuli. DNA damaging agents at lethal concentrations induce a p53-independent down-regulation of the klf6 gene. To investigate the impact of external stimuli on human klf6 gene expression, its mRNA level was analyzed using a cancer cell line profiling array system, consisting in an assortment of immobilized cDNAs from multiple cell lines treated with several cell-damaging agents at growth inhibitory concentrations (IC{sub 50}). Cell-damaging agents affected the klf6 expression in 62% of the cDNA samples, though the expression pattern was not dependent on the cell origin type. Interestingly, significant differences (p < 0.0001) in KLF6 mRNA levels were observed depending on the cellular p53 status upon cell damage. KLF6 expression was significantly increased in 63% of p53-deficient cells (122/195). Conversely, KLF6 mRNA level decreased nearly 4 fold in more than 70% of p53+/+ cells. In addition, klf6 gene promoter activity was down-regulated by DNA damaging agents in cells expressing the functional p53 protein whereas it was moderately increased in the absence of functional p53. Consistent results were obtained for the endogenous KLF6 protein level. Results indicate that human klf6 gene expression is responsive to external cell damage mediated by IC{sub 50} concentrations of physical and chemical stimuli in a p53-dependent manner. Most of these agents are frequently used in cancer therapy. Induction of klf6 expression in the absence of functional p53 directly correlates with cell death triggered by these compounds, whereas it is down-regulated in p53+/+ cells. Hence, klf6 expression level could represent a valuable

  1. In silico analysis of stomach lineage specific gene set expression pattern in gastric cancer.

    Science.gov (United States)

    Pandi, Narayanan Sathiya; Suganya, Sivagurunathan; Rajendran, Suriliyandi

    2013-10-04

    Stomach lineage specific gene products act as a protective barrier in the normal stomach and their expression maintains the normal physiological processes, cellular integrity and morphology of the gastric wall. However, the regulation of stomach lineage specific genes in gastric cancer (GC) is far less clear. In the present study, we sought to investigate the role and regulation of stomach lineage specific gene set (SLSGS) in GC. SLSGS was identified by comparing the mRNA expression profiles of normal stomach tissue with other organ tissue. The obtained SLSGS was found to be under expressed in gastric tumors. Functional annotation analysis revealed that the SLSGS was enriched for digestive function and gastric epithelial maintenance. Employing a single sample prediction method across GC mRNA expression profiles identified the under expression of SLSGS in proliferative type and invasive type gastric tumors compared to the metabolic type gastric tumors. Integrative pathway activation prediction analysis revealed a close association between estrogen-α signaling and SLSGS expression pattern in GC. Elevated expression of SLSGS in GC is associated with an overall increase in the survival of GC patients. In conclusion, our results highlight that estrogen mediated regulation of SLSGS in gastric tumor is a molecular predictor of metabolic type GC and prognostic factor in GC.

  2. Reduced expression of N-Myc downstream-regulated gene 2 in human thyroid cancer

    Directory of Open Access Journals (Sweden)

    Ma Jianjun

    2008-10-01

    Full Text Available Abstract Background NDRG2 (N-Myc downstream-regulated gene 2 was initially cloned in our laboratory. Previous results have shown that NDRG2 expressed differentially in normal and cancer tissues. Specifically, NDRG2 mRNA was down-regulated or undetectable in several human cancers, and over-expression of NDRG2 inhibited the proliferation of cancer cells. NDRG2 also exerts important functions in cell differentiation and tumor suppression. However, it remains unclear whether NDRG2 participates in carcinogenesis of the thyroid. Methods In this study, we investigated the expression profile of human NDRG2 in thyroid adenomas and carcinomas, by examining tissues from individuals with thyroid adenomas (n = 40 and carcinomas (n = 35, along with corresponding normal tissues. Immunohistochemistry, quantitative RT-PCR and western blot methods were utilized to determine both the protein and mRNA expression status of Ndrg2 and c-Myc. Results The immunostaining analysis revealed a decrease of Ndrg2 expression in thyroid carcinomas. When comparing adenomas or carcinomas with adjacent normal tissue from the same individual, the mRNA expression level of NDRG2 was significantly decreased in thyroid carcinoma tissues, while there was little difference in adenoma tissues. This differential expression was confirmed at the protein level by western blotting. However, there were no significant correlations of NDRG2 expression with gender, age, different histotypes of thyroid cancers or distant metastases. Conclusion Our data indicates that NDRG2 may participate in thyroid carcinogenesis. This finding provides novel insight into the important role of NDRG2 in the development of thyroid carcinomas. Future studies are needed to address whether the down-regulation of NDRG2 is a cause or a consequence of the progression from a normal thyroid to a carcinoma.

  3. Relationship between promoter methylation of the Runx3 and Rassf1a genes and Dnmt1 expression in gastric cancer

    Institute of Scientific and Technical Information of China (English)

    姜相君

    2013-01-01

    Objective To analyze the promoter methylation of the human runt-related transcription factor3(Runx3) and ras-association domain family1a(Rassf1a) genes and Dnmt1protein expression in gastric cancer and to

  4. Changes in expression of imprinted genes following treatment of human cancer cell lines with non-mutagenic or mutagenic carcinogens.

    Science.gov (United States)

    Shibui, Takeo; Higo, Yukari; Tsutsui, Takeo W; Uchida, Minoru; Oshimura, Mitsuo; Barrett, J Carl; Tsutsui, Takeki

    2008-08-01

    It remains possible that chemicals that act by mutagenic mechanisms as well as chemicals that do not induce gene mutations may affect epigenetic gene expression. To test the possibility, we investigated the ability of both types of chemicals to alter the expression of five imprinted genes, PEG3, SNRPN, NDN, ZAC and H19, using two human colon cancer cell lines and a human breast cancer cell line. The expression of imprinted genes was changed by some non-mutagenic and mutagenic carcinogens independent of their mutagenic activity. The genes most commonly exhibiting the changes in expression were SNRPN and PEG3. Alterations of the expression of NDN and ZAC were also observed in some conditions. Methylation-specific PCR and chromatin immunoprecipitation assays suggest the possibility that changes in the expression of SNRPN may be associated with DNA hypomethylation and histone acetylation of the promoters and euchromatinization of the heterochromatic domains of the promoters. Changes in expression of the imprinted genes, PEG3 and NDN, were also observed in cells immortalized by treatment of normal human fibroblasts with 4-nitroquinoline 1-oxide or aflatoxin B1. We previously demonstrated that expression of the cancer-related gene, INK4a, in these immortal cells was lost via epigenetic mechanisms. The results prove that, in cancer cells, some mutagenic or non-mutagenic carcinogens can epigenetically influence the transcription levels of imprinted genes and also suggest the possibility that some chemical carcinogens may have epigenetic carcinogenic effects in human cells.

  5. Distinct Gene Expression Signatures in Lynch Syndrome and Familial Colorectal Cancer Type X

    DEFF Research Database (Denmark)

    Valentin, Mev; Therkildsen, Christina; Veerla, Srinivas;

    2013-01-01

    Heredity is estimated to cause at least 20% of colorectal cancer. The hereditary nonpolyposis colorectal cancer subset is divided into Lynch syndrome and familial colorectal cancer type X (FCCTX) based on presence of mismatch repair (MMR) gene defects.......Heredity is estimated to cause at least 20% of colorectal cancer. The hereditary nonpolyposis colorectal cancer subset is divided into Lynch syndrome and familial colorectal cancer type X (FCCTX) based on presence of mismatch repair (MMR) gene defects....

  6. In Vivo Expression of Helicobacter pylori Virulence Genes in Patients with Gastritis, Ulcer, and Gastric Cancer

    Science.gov (United States)

    Avilés-Jiménez, Francisco; Reyes-Leon, Adriana; Nieto-Patlán, Erik; Hansen, Lori M.; Burgueño, Juan; Ramos, Irma P.; Camorlinga-Ponce, Margarita; Bermúdez, Hector; Blancas, Juan M.; Cabrera, Lourdes; Ribas-Aparicio, Rosa María

    2012-01-01

    The best-studied Helicobacter pylori virulence factor associated with development of peptic ulcer disease or gastric cancer (GC) rather than asymptomatic nonatrophic gastritis (NAG) is the cag pathogenicity island (cagPAI), which encodes a type IV secretion system (T4SS) that injects the CagA oncoprotein into host epithelial cells. Here we used real-time reverse transcription-PCR (RT-PCR) to measure the in vivo expression of genes on the cagPAI and of other virulence genes in patients with NAG, duodenal ulcer (DU), or GC. In vivo expression of H. pylori virulence genes was greater overall in gastric biopsy specimens of patients with GC than in those of patients with NAG or DU. However, since in vitro expression of cagA was not greater in H. pylori strains from patients with GC than in those from patients with NAG or DU, increased expression in GC in vivo is likely a result of environmental conditions in the gastric mucosa, though it may in turn cause more severe pathology. Increased expression of virulence genes in GC may represent a stress response to elevated pH or other environmental conditions in the stomach of patients with GC, which may be less hospitable to H. pylori colonization than the acidic environment in patients with NAG or DU. PMID:22124657

  7. Clinical significance of overexpression of metastasis-associated gene MTA1 in cervical cancer and bioinformatic analysis of genes coordinately expressed with MTA1

    Directory of Open Access Journals (Sweden)

    Shu-ying FAN

    2016-06-01

    Full Text Available Objective  To analyze the clinical significance of MTA1 overexpression in cervical cancer and bioinformatically screen the potential treatment targets from the gene network correlated with MTA1 overexpression. Methods  SPSS software package was used to analyze the correlation of MTA1 with clinical metastasis and pathological grade of cervical cancer based on TCGA-CESC data set. The edgeR software was used to screen the gene set whose expression was correlated with MTA1 in cervical cancer at a global transcriptional level. DAVID platform was adopted to identify the enriched biological functions of the gene set significantly correlated with MTA1 expression. The transcriptional regulation network of the gene set was constructed with STRING online platform and Cytospace softwares to identify the key regulators. Results  TCGA-CESC database assay showed a significant positive correlation of MTA1 expression with clinical metastasis of cervical cancer (P<0.01. There was a gene set in which gene expression was closely correlated with MTA1 level. Functional enrichment of the gene set indicated that cancer pathways, stem cell pathways, cell migration, cell differentiation, etc. were closely linked to MTA1-correlated malignant behaviors of cancers. Bioinformatical screening showed that Agt, Acta1, Fpr2, Pmch and RGS18, which are correlated with MTA1 expression in cervical cancer, were the key regulators in differentially expressed gene sets. And these genes were located to the GPCR pathway. Conclusions  MTA1 overexpression is significantly correlated with clinical metastasis of cervical cancer and paralleled with the activation of gene regulation involved in stem cell pathway, cytokine receptor signaling, cell migration and differentiation pathways. These genes are correlated with MTA1 expression and potential treatment targets in cervical cancer and should be further experimentally evaluated in the future. DOI: 10.11855/j.issn.0577-7402.2016.05.03

  8. Identification of suitable reference genes for gene expression studies using quantitative polymerase chain reaction in lung cancer in vitro.

    Science.gov (United States)

    Ali, Hassan; Du, Zhenwu; Li, Xiuying; Yang, Qiwei; Zhang, Yu Cheng; Wu, Mei; Li, Yi; Zhang, Guizhen

    2015-05-01

    The present study aimed to examine 10 housekeeping genes (HKGs), including 18s ribosomal RNA (18S), glyceraldehyde‑3‑phosphate dehydrogenase (GAPDH), ribosomal protein large P0 (RPLP0), β‑actin (ACTB), peptidylprolyl isomerase A (PPIA), phosphoglycerate kinase‑1 (PGK1), β‑2‑microglobulin (B2M), ribosomal protein LI3a (RPL13A), hypoxanthine phosphoribosyl transferase‑1 (HPRT1) and TATA box binding protein (TBP) in order to identify the most stable and suitable reference genes for use in expression studies in non‑small cell lung cancer. The mRNA expression encoding the panel of the 10 HKGs was determined using reverse transcription‑quantitative PCR (RT‑qPCR) in human lung cancer cell lines. Three software programs, BestKeeper, NormFinder and geNorm, were used to ascertain the most suitable reference genes to normalize the RNA input. The present study examined three lung cancer cell lines (A549, NCI‑H446 and NCI‑H460). The analysis of the experimental data using BestKeeper software revealed that all 10 HKGs were stable, with GADPH, followed by 18S being the most stable genes and PPIA and HPRT1 being the least stable genes. The NormFinder software results demonstrated that PPIA followed by ACTB were the most stable and B2M and RPLP0 were the least stable. The geNorm software results revealed that ACTB and PGK1, followed by PPIA were the most stable genes and B2M and RPLP0 were identified as the least stable genes. Due to discrepancies in the ranking orders of the reference genes obtained by different analyzing software programs, it was not possible to determine a single universal reference gene. The suitability of selected reference genes requires unconditional validation prior to each study. Based on the three analyzing programs, ACTB, PPIA and PGK1 were the most stable reference genes in lung cancer cell lines.

  9. Differences in gene expression profiles and carcinogenesis pathways involved in cisplatin resistance of four types of cancer.

    Science.gov (United States)

    Yang, Yong; Li, Hui; Hou, Shengcai; Hu, Bin; Liu, Jie; Wang, Jun

    2013-08-01

    Cisplatin-based chemotherapy is the standard therapy used for the treatment of several types of cancer. However, its efficacy is largely limited by the acquired drug resistance. To date, little is known about the RNA expression changes in cisplatin-resistant cancers. Identification of the RNAs related to cisplatin resistance may provide specific insight into cancer therapy. In the present study, expression profiling of 7 cancer cell lines was performed using oligonucleotide microarray analysis data obtained from the GEO database. Bioinformatic analyses such as the Gene Ontology (GO) and KEGG pathway were used to identify genes and pathways specifically associated with cisplatin resistance. A signal transduction network was established to identify the core genes in regulating cancer cell cisplatin resistance. A number of genes were differentially expressed in 7 groups of cancer cell lines. They mainly participated in 85 GO terms and 11 pathways in common. All differential gene interactions in the Signal-Net were analyzed. CTNNB1, PLCG2 and SRC were the most significantly altered. With the use of bioinformatics, large amounts of data in microarrays were retrieved and analyzed by means of thorough experimental planning, scientific statistical analysis and collection of complete data on cancer cell cisplatin resistance. In the present study, a novel differential gene expression pattern was constructed and further study will provide new targets for the diagnosis and mechanisms of cancer cisplatin resistance.

  10. Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data

    Science.gov (United States)

    Nguyen, Linh; Dang, Cuong C; Ballester, Pedro J.

    2017-01-01

    Background: Selected gene mutations are routinely used to guide the selection of cancer drugs for a given patient tumour. Large pharmacogenomic data sets, such as those by Genomics of Drug Sensitivity in Cancer (GDSC) consortium, were introduced to discover more of these single-gene markers of drug sensitivity. Very recently, machine learning regression has been used to investigate how well cancer cell line sensitivity to drugs is predicted depending on the type of molecular profile. The latter has revealed that gene expression data is the most predictive profile in the pan-cancer setting. However, no study to date has exploited GDSC data to systematically compare the performance of machine learning models based on multi-gene expression data against that of widely-used single-gene markers based on genomics data. Methods: Here we present this systematic comparison using Random Forest (RF) classifiers exploiting the expression levels of 13,321 genes and an average of 501 tested cell lines per drug. To account for time-dependent batch effects in IC 50 measurements, we employ independent test sets generated with more recent GDSC data than that used to train the predictors and show that this is a more realistic validation than standard k-fold cross-validation. Results and Discussion: Across 127 GDSC drugs, our results show that the single-gene markers unveiled by the MANOVA analysis tend to achieve higher precision than these RF-based multi-gene models, at the cost of generally having a poor recall (i.e. correctly detecting only a small part of the cell lines sensitive to the drug). Regarding overall classification performance, about two thirds of the drugs are better predicted by the multi-gene RF classifiers. Among the drugs with the most predictive of these models, we found pyrimethamine, sunitinib and 17-AAG. Conclusions: Thanks to this unbiased validation, we now know that this type of models can predict in vitro tumour response to some of these drugs. These models

  11. Screening of Differently Expressed Genes in Human Prostate Cancer Cell Lines with Different Metastasis Potentials

    Institute of Scientific and Technical Information of China (English)

    SONG Anping; LIAO Guoning; WU Mingfu; LU Yunping; MA Ding

    2007-01-01

    In order to screen the genes differentially expressed in two human prostate cancer cells with different metastasis potentials, suppression subtractive hybridization (SSH) was done twice on human prostate cancer cell line with high potential of metastasis PC3M-1E8 and its synogenetic cell line PC3M-2B4 with low metastasis potential. In the first subtraction PC3M-2B4 was used as tester and PC3M-1E8 as driver and the forward subtractive library was constructed. In the second one the tester and driver were interchanged and the reverse subtractive library was constructed. The screened clones of both libraries were sequenced and Gene Bank homology search was performed. Some clones were confirmed by quantitative real-time PCR. The results showed that two subtrac-tive libraries containing 238 positive clones were constructed. Analysis of 16 sequenced clones ran-domly picked from two libraries showed that 4 differentially expressed gene fragments were identi-fied as new EST with unknown functions. It was concluded that two subtractive libraries of human prostate cancer cell lines with different metastasis potentials were constructed successfully.

  12. Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.

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    Rebeca Sanz-Pamplona

    Full Text Available INTRODUCTION: The traditional staging system is inadequate to identify those patients with stage II colorectal cancer (CRC at high risk of recurrence or with stage III CRC at low risk. A number of gene expression signatures to predict CRC prognosis have been proposed, but none is routinely used in the clinic. The aim of this work was to assess the prediction ability and potential clinical usefulness of these signatures in a series of independent datasets. METHODS: A literature review identified 31 gene expression signatures that used gene expression data to predict prognosis in CRC tissue. The search was based on the PubMed database and was restricted to papers published from January 2004 to December 2011. Eleven CRC gene expression datasets with outcome information were identified and downloaded from public repositories. Random Forest classifier was used to build predictors from the gene lists. Matthews correlation coefficient was chosen as a measure of classification accuracy and its associated p-value was used to assess association with prognosis. For clinical usefulness evaluation, positive and negative post-tests probabilities were computed in stage II and III samples. RESULTS: Five gene signatures showed significant association with prognosis and provided reasonable prediction accuracy in their own training datasets. Nevertheless, all signatures showed low reproducibility in independent data. Stratified analyses by stage or microsatellite instability status showed significant association but limited discrimination ability, especially in stage II tumors. From a clinical perspective, the most predictive signatures showed a minor but significant improvement over the classical staging system. CONCLUSIONS: The published signatures show low prediction accuracy but moderate clinical usefulness. Although gene expression data may inform prognosis, better strategies for signature validation are needed to encourage their widespread use in the clinic.

  13. Metastatic canine mammary carcinomas can be identified by a gene expression profile that partly overlaps with human breast cancer profiles

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    Hummel Michael

    2010-11-01

    Full Text Available Abstract Background Similar to human breast cancer mammary tumors of the female dog are commonly associated with a fatal outcome due to the development of distant metastases. However, the molecular defects leading to metastasis are largely unknown and the value of canine mammary carcinoma as a model for human breast cancer is unclear. In this study, we analyzed the gene expression signatures associated with mammary tumor metastasis and asked for parallels with the human equivalent. Methods Messenger RNA expression profiles of twenty-seven lymph node metastasis positive or negative canine mammary carcinomas were established by microarray analysis. Differentially expressed genes were functionally characterized and associated with molecular pathways. The findings were also correlated with published data on human breast cancer. Results Metastatic canine mammary carcinomas had 1,011 significantly differentially expressed genes when compared to non-metastatic carcinomas. Metastatic carcinomas had a significant up-regulation of genes associated with cell cycle regulation, matrix modulation, protein folding and proteasomal degradation whereas cell differentiation genes, growth factor pathway genes and regulators of actin organization were significantly down-regulated. Interestingly, 265 of the 1,011 differentially expressed canine genes are also related to human breast cancer and, vice versa, parts of a human prognostic gene signature were identified in the expression profiles of the metastatic canine tumors. Conclusions Metastatic canine mammary carcinomas can be discriminated from non-metastatic carcinomas by their gene expression profiles. More than one third of the differentially expressed genes are also described of relevance for human breast cancer. Many of the differentially expressed genes are linked to functions and pathways which appear to be relevant for the induction and maintenance of metastatic progression and may represent new therapeutic

  14. Mammary fat of breast cancer: gene expression profiling and functional characterization.

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    Fengliang Wang

    Full Text Available Mammary fat is the main composition of breast, and is the most probable candidate to affect tumor behavior because the fat produces hormones, growth factors and adipokines, a heterogeneous group of signaling molecules. Gene expression profiling and functional characterization of mammary fat in Chinese women has not been reported. Thus, we collected the mammary fat tissues adjacent to breast tumors from 60 subjects, among which 30 subjects had breast cancer and 30 had benign lesions. We isolated and cultured the stromal vascular cell fraction from mammary fat. The expression of genes related to adipose function (including adipogenesis and secretion was detected at both the tissue and the cellular level. We also studied mammary fat browning. The results indicated that fat tissue close to malignant and benign lesions exhibited distinctive gene expression profiles and functional characteristics. Although the mammary fat of breast tumors atrophied, it secreted tumor growth stimulatory factors. Browning of mammary fat was observed and browning activity of fat close to malignant breast tumors was greater than that close to benign lesions. Understanding the diversity between these two fat depots may possibly help us improve our understanding of breast cancer pathogenesis and find the key to unlock new anticancer therapies.

  15. Mammary fat of breast cancer: gene expression profiling and functional characterization.

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    Wang, Fengliang; Gao, Sheng; Chen, Fei; Fu, Ziyi; Yin, Hong; Lu, Xun; Yu, Jing; Lu, Cheng

    2014-01-01

    Mammary fat is the main composition of breast, and is the most probable candidate to affect tumor behavior because the fat produces hormones, growth factors and adipokines, a heterogeneous group of signaling molecules. Gene expression profiling and functional characterization of mammary fat in Chinese women has not been reported. Thus, we collected the mammary fat tissues adjacent to breast tumors from 60 subjects, among which 30 subjects had breast cancer and 30 had benign lesions. We isolated and cultured the stromal vascular cell fraction from mammary fat. The expression of genes related to adipose function (including adipogenesis and secretion) was detected at both the tissue and the cellular level. We also studied mammary fat browning. The results indicated that fat tissue close to malignant and benign lesions exhibited distinctive gene expression profiles and functional characteristics. Although the mammary fat of breast tumors atrophied, it secreted tumor growth stimulatory factors. Browning of mammary fat was observed and browning activity of fat close to malignant breast tumors was greater than that close to benign lesions. Understanding the diversity between these two fat depots may possibly help us improve our understanding of breast cancer pathogenesis and find the key to unlock new anticancer therapies.

  16. Regulation of MYC gene expression by aberrant Wnt/β-catenin signaling in colorectal cancer

    Institute of Scientific and Technical Information of China (English)

    Sherri; Rennoll; Gregory; Yochum

    2015-01-01

    The Wnt/β-catenin signaling pathway controls intestinal homeostasis and mutations in components of this pathway are prevalent in human colorectal cancers(CRCs).These mutations lead to inappropriate expression of genes controlled by Wnt responsive DNA elements(WREs). T-cell factor/Lymphoid enhancer factor transcription factors bind WREs and recruit the β-catenin transcriptional co-activator to activate target gene expression. Deregulated expression of the c-MYC proto-oncogene(MYC) by aberrant Wnt/β-catenin signaling drives colorectal carcinogenesis. In this review,we discuss the current literature pertaining to the identification and characterization of WREs that control oncogenic MYC expression in CRCs. A common theme has emerged whereby these WREs often map distally to the MYC genomic locus and control MYC gene expression through long-range chromatin loops with the MYC proximal promoter. We propose that by determining which of these WREs is critical for CRC pathogenesis,novel strategies can be developed to treat individuals suffering from this disease.

  17. Gene Expression Profile of Proton Beam Irradiated Breast Cancer Stem Cells

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    Jung, Myung Hwan; Park, Jeong Chan [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2015-05-15

    Cancer stem cells (CSCs) possess characteristics associated with normal stem cells. The mechanisms regulating CSC radio-resistance, including to proton beam, remain unclear. They showed that a subset of cells expressing CD44 with weak or no CD24 expression could establish new tumors in xenograft mice. Recently, BCSC-targeting therapies have been evaluated by numerous groups. Strategies include targeting BCSC self-renewal, indirectly targeting the microenvironment, and directly killing BCSCs by chemical agents that induce differentiation, immunotherapy, and oncolytic viruses. However, the mechanisms regulating CSC radio-resistance, particularly proton beam resistance, remain unclear. The identification of CSC-related gene expression patterns would make up offer data for better understanding CSCs properties. In this study we investigated the gene expression profile of BCSCs isolation from MCF-7 cell line. Reducing BCSC resistance to pulsed proton beams is essential to improve therapeutic efficacy and decrease the 5-year recurrence rate. In this respect, the information of the level of gene expression patterns in BCSCs is attractive for understanding molecular mechanisms of radio-resistance of BCSCs.

  18. Dietary Phenethyl Isothiocyanate Alters Gene Expression in Human Breast Cancer Cells

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    Young Jin Moon

    2011-01-01

    Full Text Available Phenethyl isothiocyanate (PEITC, a component in cruciferous vegetables, can block chemical carcinogenesis in animal models. Our objective was to determine the effect of treatment with PEITC on gene expression changes in MCF-7 human breast cancer cells in order to evaluate potential mechanisms involved in its chemopreventive effects. MCF-7 cells were treated for 48 hours with either PEITC (3 μM or the vehicle. Total RNA was extracted from cell membrane preparations, and labeled cDNA's representing the mRNA pool were reverse-transcribed directly from total RNA isolated for use in the microarray hybridizations. Two specific human GE Array Kits (Superarray Inc. that both contain 23 marker genes, related to signal transduction pathways or cancer/tumor suppression, plus 2 housekeeping genes (β-actin and GAPDH, were utilized. Arrays from treated and control cells (n=4 per group were evaluated using a Student's t-test. Gene expression was significantly induced for tumor protein p53 (p53, cyclin-dependent kinase inhibitor 1C (p57 Kip2, breast cancer Type 2 early onset (BRCA2, cAMP responsive element binding protein 2 (ATF-2, interleukin 2 (IL-2, heat shock 27 KD protein (hsp27, and CYP19 (aromatase. Induction of p57 Kip2, p53, BRCA2, IL-2, and ATF-2 would be expected to decrease cellular proliferation and increase tumor suppression and/or apoptosis. PEITC treatment produced significant alterations in some genes involved in tumor suppression and cellular proliferation/apoptosis that may be important in explaining the chemopreventive effects of PEITC.

  19. Relationship between autophagy-related genes Beclin-1 and MAP1LC3 expression and biological characteristics of oral cancer

    Institute of Scientific and Technical Information of China (English)

    Xiao-Dong Li; Xiao-Chen Sun; Xin-Mei Li; Jia-Wei Gu

    2016-01-01

    Objective:To study the relationship between autophagy-related genes Beclin-1 and MAP1LC3 expression and biological characteristics of oral cancer. Methods:Oral cancer tissues and precancerous tissues were collected to detect mRNA expression levels of Beclin-1 and MAP1LC3;tongue cancer cell lines CTST-2 and primary epithelial cells of normal buccal mucosa were cultured to detect mRNA expression levels of autophagy marker molecues (Beclin-1 and MAP1LC3), pro-apoptosis genes (P53 and Caspase-3) and anti-apoptosis genes (Survivin, Bcl-2 and Bmi-1). Results:mRNA contents of Beclin-1 and MAP1LC3 in tongue cancer, buccal mucosa cancer, gingival cancer and mouth floor cancer tissues were significantly lower than those in corresponding precancerous tissues; mRNA contents of Beclin-1 and MAP1LC3 in tongue cancer cells CTST-2 were lower than those in normal mucosal cells;mRNA contents of P53 and Caspase-3 in tongue cancer cells CTST-2 were lower than those in normal mucosal cells and positively correlated with mRNA contents of Beclin-1 and MAP1LC3; mRNA contents of survivin, Bcl-2 and Bmi-1 in CTST-2 were higher than those in normal mucosal cells and negatively correlated with mRNA contents of Beclin-1 and MAP1LC3. Conclusion:Expression levels of autophagy-related genes Beclin-1 and MAP1LC3 abnormally reduce in oral cancer and have significant correlation with the expression of pro-apoptosis genes and anti-apoptosis genes of cancer cells.

  20. Identification of differentially expressed genes in esophageal cancer through SSH in com- bination with high throughput reverse Northern screening

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    To understand the molecular mechanisms of carcinogenesis of esophagus and to isolate genes with different expression levels in esophageal cancer, suppression subtractive hybridization (SSH) was combined with PCR-based cDNA synthesis and reverse Northern on the cancer tissues and matched almost normal mucosa using 5 microgram of total RNA as starting marterial. Eight genes were found expressed differentially in esophageal cancer, in which 5 were known genes and 3 were novel ones; and 6 were down-regulated in cancer tissues, while 2 were up-regulated; 6 were of mid-high abundance and 2 were of low abundance in esophagus. The results revealed that alteration in expression level of multiple genes underlied the initiation and development of esophageal cancer. The differentially expressed genes identified in this study such as liporcotinⅠ, cystatin A, cystatin B, cytokeratin 13 may play roles in dedifferentiation, transformation and malignant proliferation of esophageal cancer. The combination of SSH with PCR-based double- strand cDNA synthesis and high throughput reverse Northern screening is an efficient way to isolate differentially expressed genes from microgram of total RNA.

  1. Global gene expression analysis of early response to chemotherapy treatment in ovarian cancer spheroids

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    Tetu Bernard

    2008-02-01

    Full Text Available Abstract Background Chemotherapy (CT resistance in ovarian cancer (OC is broad and encompasses diverse unrelated drugs, suggesting more than one mechanism of resistance. To better understand the molecular mechanisms controlling the immediate response of OC cells to CT exposure, we have performed gene expression profiling in spheroid cultures derived from six OC cell lines (OVCAR3, SKOV3, TOV-112, TOV-21, OV-90 and TOV-155, following treatment with 10,0 μM cisplatin, 2,5 μM paclitaxel or 5,0 μM topotecan for 72 hours. Results Exposure of OC spheroids to these CT drugs resulted in differential expression of genes associated with cell growth and proliferation, cellular assembly and organization, cell death, cell cycle control and cell signaling. Genes, functionally involved in DNA repair, DNA replication and cell cycle arrest were mostly overexpressed, while genes implicated in metabolism (especially lipid metabolism, signal transduction, immune and inflammatory response, transport, transcription regulation and protein biosynthesis, were commonly suppressed following all treatments. Cisplatin and topotecan treatments triggered similar alterations in gene and pathway expression patterns, while paclitaxel action was mainly associated with induction of genes and pathways linked to cellular assembly and organization (including numerous tubulin genes, cell death and protein synthesis. The microarray data were further confirmed by pathway and network analyses. Conclusion Most alterations in gene expression were directly related to mechanisms of the cytotoxics actions in OC spheroids. However, the induction of genes linked to mechanisms of DNA replication and repair in cisplatin- and topotecan-treated OC spheroids could be associated with immediate adaptive response to treatment. Similarly, overexpression of different tubulin genes upon exposure to paclitaxel could represent an early compensatory effect to this drug action. Finally, multicellular

  2. Regularization strategies for hyperplane classifiers: application to cancer classification with gene expression data.

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    Andries, Erik; Hagstrom, Thomas; Atlas, Susan R; Willman, Cheryl

    2007-02-01

    Linear discrimination, from the point of view of numerical linear algebra, can be treated as solving an ill-posed system of linear equations. In order to generate a solution that is robust in the presence of noise, these problems require regularization. Here, we examine the ill-posedness involved in the linear discrimination of cancer gene expression data with respect to outcome and tumor subclasses. We show that a filter factor representation, based upon Singular Value Decomposition, yields insight into the numerical ill-posedness of the hyperplane-based separation when applied to gene expression data. We also show that this representation yields useful diagnostic tools for guiding the selection of classifier parameters, thus leading to improved performance.

  3. Characteristic Gene Expression Profiles of Human Fibroblasts and Breast Cancer Cells in a Newly Developed Bilateral Coculture System

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    Takayuki Ueno

    2015-01-01

    Full Text Available The microenvironment of cancer cells has been implicated in cancer development and progression. Cancer-associated fibroblast constitutes a major stromal component of the microenvironment. To analyze interaction between cancer cells and fibroblasts, we have developed a new bilateral coculture system using a two-sided microporous collagen membrane. Human normal skin fibroblasts were cocultured with three different human breast cancer cell lines: MCF-7, SK-BR-3, and HCC1937. After coculture, mRNA was extracted separately from cancer cells and fibroblasts and applied to transcriptomic analysis with microarray. Top 500 commonly up- or downregulated genes were characterized by enrichment functional analysis using MetaCore Functional Analysis. Most of the genes upregulated in cancer cells were downregulated in fibroblasts while most of the genes downregulated in cancer cells were upregulated in fibroblasts, indicating that changing patterns of mRNA expression were reciprocal between cancer cells and fibroblasts. In coculture, breast cancer cells commonly increased genes related to mitotic response and TCA pathway while fibroblasts increased genes related to carbohydrate metabolism including glycolysis, glycogenesis, and glucose transport, indicating that fibroblasts support cancer cell proliferation by supplying energy sources. We propose that the bilateral coculture system using collagen membrane is useful to study interactions between cancer cells and stromal cells by mimicking in vivo tumor microenvironment.

  4. Sixteen-kinase gene expression identifies luminal breast cancers with poor prognosis.

    Science.gov (United States)

    Finetti, Pascal; Cervera, Nathalie; Charafe-Jauffret, Emmanuelle; Chabannon, Christian; Charpin, Colette; Chaffanet, Max; Jacquemier, Jocelyne; Viens, Patrice; Birnbaum, Daniel; Bertucci, François

    2008-02-01

    Breast cancer is a heterogeneous disease made of various molecular subtypes with different prognosis. However, evolution remains difficult to predict within some subtypes, such as luminal A, and treatment is not as adapted as it should be. Refinement of prognostic classification and identification of new therapeutic targets are needed. Using oligonucleotide microarrays, we profiled 227 breast cancers. We focused our analysis on two major breast cancer subtypes with opposite prognosis, luminal A (n = 80) and basal (n = 58), and on genes encoding protein kinases. Whole-kinome expression separated luminal A and basal tumors. The expression (measured by a kinase score) of 16 genes encoding serine/threonine kinases involved in mitosis distinguished two subgroups of luminal A tumors: Aa, of good prognosis and Ab, of poor prognosis. This classification and its prognostic effect were validated in 276 luminal A cases from three independent series profiled across different microarray platforms. The classification outperformed the current prognostic factors in univariate and multivariate analyses in both training and validation sets. The luminal Ab subgroup, characterized by high mitotic activity compared with luminal Aa tumors, displayed clinical characteristics and a kinase score intermediate between the luminal Aa subgroup and the luminal B subtype, suggesting a continuum in luminal tumors. Some of the mitotic kinases of the signature represent therapeutic targets under investigation. The identification of luminal A cases of poor prognosis should help select appropriate treatment, whereas the identification of a relevant kinase set provides potential targets.

  5. Gene expression analysis approach to establish possible links between Parkinson's disease, cancer and cardiovascular diseases.

    Science.gov (United States)

    Karim, Sajjad; Mirza, Zeenat; Kamal, Mohammad A; Abuzenadah, Adel M; Al-Qahtani, Mohammed H

    2014-01-01

    Non-communicable chronic diseases have been apparently established as threat to human health, and are currently the world's main killer. Cardiovascular diseases (CVD), cancer, diabetes and neurodegenerative diseases are collectively amounting to more than 60% of non-communicable disease burden across world. Tremendous advancements in healthcare enabled us to fight several health problems primarily infectious diseases. However, this increased longevity where in many cases an individual suffers from several such chronic diseases simultaneously, making treatment complex. Finding whether diseases can coexist in an individual by chance or there exists a possible association between them is vital. Our goal is to establish possible existing link among CVD, cancer and Parkinson's disease (PD) for better understanding of the associated molecular network. In this study, we integrated multiple dataset retrieved from the National Centre for Biotechnology Information's Gene Expression Omnibus database, and took a systems-biology approach to compare and distinguish the molecular network associated with PD, cancer and CVD. We identified 230, 308 and 1619 differentially expressed genes for CVD, cancer and PD dataset respectively using cut off p value2. We integrated these data with known pathways using Ingenuity Pathway Analysis tool and found following common pathways associated with all three diseases to be most affected; epithelial adherens junction signaling, remodelling of epithelial adherens junctions, role of BRCA1 in DNA damage response, sphingomyelin metabolism, 3- phosphoinositide biosynthesis, acute myeloid leukemia signaling, type I diabetes mellitus signaling, agrin interactions at neuromuscular junction, role of IL-17A in arthritis, and antigen presentation pathways. In conclusion, CVD, cancer and PD appear tightly associated at molecular level.

  6. Gene expression variation between distinct areas of breast cancer measured from paraffin-embedded tissue cores

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    Gugger Mathias

    2008-11-01

    Full Text Available Abstract Background Diagnosis and prognosis in breast cancer are mainly based on histology and immunohistochemistry of formalin-fixed, paraffin-embedded (FFPE material. Recently, gene expression analysis was shown to elucidate the biological variance between tumors and molecular markers were identified that led to new classification systems that provided better prognostic and predictive parameters. Archived FFPE samples represent an ideal source of tissue for translational research, as millions of tissue blocks exist from routine diagnostics and from clinical studies. These should be exploited to provide clinicians with more accurate prognostic and predictive information. Unfortunately, RNA derived from FFPE material is partially degraded and chemically modified and reliable gene expression measurement has only become successful after implementing novel and optimized procedures for RNA isolation, demodification and detection. Methods In this study we used tissue cylinders as known from the construction of tissue microarrays. RNA was isolated with a robust protocol recently developed for RNA derived from FFPE material. Gene expression was measured by quantitative reverse transcription PCR. Results Sixteen tissue blocks from 7 patients diagnosed with multiple histological subtypes of breast cancer were available for this study. After verification of appropriate localization, sufficient RNA yield and quality, 30 tissue cores were available for gene expression measurement on TaqMan® Low Density Arrays (16 invasive ductal carcinoma (IDC, 8 ductal carcinoma in situ (DCIS and 6 normal tissue, and 14 tissue cores were lost. Gene expression values were used to calculate scores representing the proliferation status (PRO, the estrogen receptor status and the HER2 status. The PRO scores measured from entire sections were similar to PRO scores determined from IDC tissue cores. Scores determined from normal tissue cores consistently revealed lower PRO scores

  7. A Highly Efficient Gene Expression Programming (GEP Model for Auxiliary Diagnosis of Small Cell Lung Cancer.

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    Zhuang Yu

    Full Text Available Lung cancer is an important and common cancer that constitutes a major public health problem, but early detection of small cell lung cancer can significantly improve the survival rate of cancer patients. A number of serum biomarkers have been used in the diagnosis of lung cancers; however, they exhibit low sensitivity and specificity.We used biochemical methods to measure blood levels of lactate dehydrogenase (LDH, C-reactive protein (CRP, Na+, Cl-, carcino-embryonic antigen (CEA, and neuron specific enolase (NSE in 145 small cell lung cancer (SCLC patients and 155 non-small cell lung cancer and 155 normal controls. A gene expression programming (GEP model and Receiver Operating Characteristic (ROC curves incorporating these biomarkers was developed for the auxiliary diagnosis of SCLC.After appropriate modification of the parameters, the GEP model was initially set up based on a training set of 115 SCLC patients and 125 normal controls for GEP model generation. Then the GEP was applied to the remaining 60 subjects (the test set for model validation. GEP successfully discriminated 281 out of 300 cases, showing a correct classification rate for lung cancer patients of 93.75% (225/240 and 93.33% (56/60 for the training and test sets, respectively. Another GEP model incorporating four biomarkers, including CEA, NSE, LDH, and CRP, exhibited slightly lower detection sensitivity than the GEP model, including six biomarkers. We repeat the models on artificial neural network (ANN, and our results showed that the accuracy of GEP models were higher than that in ANN. GEP model incorporating six serum biomarkers performed by NSCLC patients and normal controls showed low accuracy than SCLC patients and was enough to prove that the GEP model is suitable for the SCLC patients.We have developed a GEP model with high sensitivity and specificity for the auxiliary diagnosis of SCLC. This GEP model has the potential for the wide use for detection of SCLC in less

  8. Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics.

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    Korsuk Sirinukunwattana

    Full Text Available Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve clustering quality. In this paper, we present an extension of the BHC algorithm. Our Gaussian BHC (GBHC algorithm represents data as a mixture of Gaussian distributions. It uses normal-gamma distribution as a conjugate prior on the mean and precision of each of the Gaussian components. We tested GBHC over 11 cancer and 3 synthetic datasets. The results on cancer datasets show that in sample clustering, GBHC on average produces a clustering partition that is more concordant with the ground truth than those obtained from other commonly used algorithms. Furthermore, GBHC frequently infers the number of clusters that is often close to the ground truth. In gene clustering, GBHC also produces a clustering partition that is more biologically plausible than several other state-of-the-art methods. This suggests GBHC as an alternative tool for studying gene expression data. The implementation of GBHC is available at https://sites.google.com/site/gaussianbhc/

  9. Association of NDRG1 gene promoter methylation with reduced NDRG1 expression in gastric cancer cells and tissue specimens.

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    Chang, Xiaojing; Zhang, Shuanglong; Ma, Jinguo; Li, Zhenhua; Zhi, Yu; Chen, Jing; Lu, Yao; Dai, Dongqiu

    2013-05-01

    NDRG1 (N-myc downstream-regulated gene 1) plays a role in cell differentiation and suppression of tumor metastasis. This study aims to determine the expression of NDRG1 mRNA and protein in gastric cancer cell lines and tissue specimens and then assess the possible cause of its aberrant expression. Six gastric cancer cell lines and 20 pairs of normal and gastric cancer tissue samples were used to assess NDRG1 expression using Real-time PCR and Western blot. High-resolution melting analysis (HRM) and methylation-specific PCR (MSP) were performed to detect gene mutation and methylation, respectively, in cell lines and tissues samples. Expression of NDRG1 mRNA and protein was downregulated in gastric cancer cell lines and tissues. Specifically, expression of NDRG1 mRNA and protein was lower in all six gastric cancer cell lines than that of normal gastric cells, while 15 out of 20 cases of gastric cancer tissues had the reduced levels of NDRG1 mRNA and protein. HRM data showed that there was no mutation in NDRG1 gene, but MSP data showed high levels of NDRG1 gene promoter methylation in the CpG islands in both cell lines and tissue samples. Moreover, treatment with the DNA methyltransferase inhibitor 5-Aza-2'-deoxycytidine upregulated NDRG1 expression in gastric cancer HGC27 cells, but not in the histone deacetylase inhibitor trichostatin A-treated HGC27 cells. In conclusion, this study has shown that expression of NDRG1 mRNA and protein was reduced in gastric cancer cell lines and tissues, which is due to methylation of NDRG1 gene promoter. Further study will unearth the clinical significance of the reduced NDRG1 protein in gastric cancer.

  10. Expression of epithelial-mesenchymal transition-related genes increases with copy number in multiple cancer types.

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    Zhao, Min; Liu, Yining; Qu, Hong

    2016-04-26

    Epithelial-mesenchymal transition (EMT) is a cellular process through which epithelial cells transform into mesenchymal cells. EMT-implicated genes initiate and promote cancer metastasis because mesenchymal cells have greater invasive and migration capacities than epithelial cells. In this pan-cancer analysis, we explored the relationship between gene expression changes and copy number variations (CNVs) for EMT-implicated genes. Based on curated 377 EMT-implicated genes from the literature, we identified 212 EMT-implicated genes associated with more frequent copy number gains (CNGs) than copy number losses (CNLs) using data from The Cancer Genome Atlas (TCGA). Then by correlating these CNV data with TCGA gene expression data, we identified 71 EMT-implicated genes with concordant CNGs and gene up-regulation in 20 or more tumor samples. Of those, 14 exhibited such concordance in over 110 tumor samples. These 14 genes were predominantly apoptosis regulators, which may implies that apoptosis is critical during EMT. Moreover, the 71 genes with concordant CNG and up-regulation were largely involved in cellular functions such as phosphorylation cascade signaling. This is the first observation of concordance between CNG and up-regulation of specific genes in hundreds of samples, which may indicate that somatic CNGs activate gene expression by increasing the gene dosage.

  11. Combination of cold atmospheric plasma and iron nanoparticles in breast cancer: gene expression and apoptosis study

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    Jalili A

    2016-09-01

    Full Text Available Azam Jalili,1 Shiva Irani,1 Reza Mirfakhraie2 1Department of Biology, Science and Research Branch, Islamic Azad University, 2Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran Background: Current cancer treatments have unexpected side effects of which the death of normal cells is one. In some cancers, iron nanoparticles (NPs can be subjected to diagnosis and passive targeting treatment. Cold atmospheric plasma (CAP has a proven induction of selective cell death ability. In this study, we have attempted to analyze the synergy between CAP and iron NPs in human breast adenocarcinoma cells (MCF-7.Materials and methods: In vitro cytotoxicity of CAP treatment and NPs in cells measured by 3-(4,5-dimethylthiazol-2-yl-2,5-diphenyltetrazolium bromide (MTT assay and cell death was shown by 4',6-diamidino-2-phenylindole and annexin V staining. Fluctuations in BAX and BCL-2 gene expression were investigated by means of real-time polymerase chain reaction.Results: MTT assay results showed that combination of plasma and iron NPs decreased the viability of cancer cells significantly (P<0.05. Real-time analysis showed that the combination therapy induced shifting the BAX/BCL-2 ratio in favor of apoptosis.Conclusion: Our data indicate that synergy between CAP and iron NPs can be applied in breast cancer treatment selectively. Keywords: breast cancer, cold atmospheric plasma, iron nanoparticles, BAX, BCL-2

  12. The Y-located gonadoblastoma gene TSPY amplifies its own expression through a positive feedback loop in prostate cancer cells

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    Kido, Tatsuo; Lau, Yun-Fai Chris, E-mail: Chris.Lau@UCSF.edu

    2014-03-28

    Highlights: • Y-encoded proto-oncoprotein TSPY amplifies its expression level via a positive feedback loop. • TSPY binds to the chromatin/DNA at exon 1 of TSPY gene. • TSPY enhances the gene expression in a TSPY exon 1 sequence dependent manner. • The conserved SET/NAP-domain is essential for TSPY transactivation. • Insights on probable mechanisms on TSPY exacerbation on cancer development in men. - Abstract: The testis-specific protein Y-encoded (TSPY) is a repetitive gene located on the gonadoblastoma region of the Y chromosome, and has been considered to be the putative gene for this oncogenic locus on the male-only chromosome. It is expressed in spermatogonial cells and spermatocytes in normal human testis, but abundantly in gonadoblastoma, testicular germ cell tumors and a variety of somatic cancers, including melanoma, hepatocellular carcinoma and prostate cancer. Various studies suggest that TSPY accelerates cell proliferation and growth, and promotes tumorigenesis. In this report, we show that TSPY could bind directly to the chromatin/DNA at exon 1 of its own gene, and greatly enhance the transcriptional activities of the endogenous gene in the LNCaP prostate cancer cells. Domain mapping analyses of TSPY have localized the critical and sufficient domain to the SET/NAP-domain. These results suggest that TSPY could efficiently amplify its expression and oncogenic functions through a positive feedback loop, and contribute to the overall tumorigenic processes when it is expressed in various human cancers.

  13. Different Gene Expression and Activity Pattern of Antioxidant Enzymes in Bladder Cancer.

    Science.gov (United States)

    Wieczorek, Edyta; Jablonowski, Zbigniew; Tomasik, Bartlomiej; Gromadzinska, Jolanta; Jablonska, Ewa; Konecki, Tomasz; Fendler, Wojciech; Sosnowski, Marek; Wasowicz, Wojciech; Reszka, Edyta

    2017-02-01

    The aim of this study was to evaluate the possible role in and contribution of antioxidant enzymes to bladder cancer (BC) etiology and recurrence after transurethral resection (TUR). We enrolled 40 patients with BC who underwent TUR and 100 sex- and age-matched healthy controls. The analysis was performed at diagnosis and recurrence, taking into account the time of recurrence. Gene expression of catalase (CAT), glutathione peroxidase 1 (GPX1) and manganese superoxide dismutase (SOD2) was determined in peripheral blood leukocytes. The activity of glutathione peroxidase 3 (GPX3) was examined in plasma, and GPX1 and copper-zinc containing superoxide dismutase 1 (SOD1) in erythrocytes. SOD2 and GPX1 expression and GPX1 and SOD1 activity were significantly higher in patients at diagnosis of BC in comparison to controls. In patients who had recurrence earlier than 1 year from TUR, CAT and SOD2 expression was lower (at diagnosis p=0.024 and p=0.434, at recurrence p=0.022 and p=0.010), while the GPX1 and GPX3 activity was higher (at diagnosis p=0.242 and p=0.394, at recurrence p=0.019 and p=0.025) compared to patients with recurrence after 1 year from TUR. This study revealed that the gene expression and activity of the antioxidant enzymes are elevated in blood of patients with BC, although a low expression of CAT might contribute to the recurrence of BC, in early prognosis.

  14. High expression of hTERT and stemness genes in BORIS/CTCFL positive cells isolated from embryonic cancer cells.

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    Loredana Alberti

    Full Text Available BORIS/CTCFL is a member of cancer testis antigen family normally expressed in germ cells. In tumors, it is aberrantly expressed although its functions are not completely well-defined. To better understand the functions of BORIS in cancer, we selected the embryonic cancer cells as a model. Using a molecular beacon, which specifically targets BORIS mRNA, we demonstrated that BORIS positive cells are a small subpopulation of tumor cells (3-5% of total. The BORIS-positive cells isolated using BORIS-molecular beacon, expressed higher telomerase hTERT, stem cell (NANOG, OCT4, SOX2 and cancer stem cell marker genes (CD44 and ALDH1 compared to the BORIS-negative tumor cells. In order to define the functional role of BORIS, stable BORIS-depleted embryonic cancer cells were generated. BORIS silencing strongly down-regulated the expression of hTERT, stem cell and cancer stem cell marker genes. Moreover, the BORIS knockdown increased cellular senescence in embryonic cancer cells, revealing a putative role of BORIS in the senescence biological program. Our data indicate an association of BORIS expressing cells subpopulation with the expression of stemness genes, highlighting the critical role played by BORIS in embryonic neoplastic disease.

  15. Module network inference from a cancer gene expression data set identifies microRNA regulated modules.

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    Eric Bonnet

    Full Text Available BACKGROUND: MicroRNAs (miRNAs are small RNAs that recognize and regulate mRNA target genes. Multiple lines of evidence indicate that they are key regulators of numerous critical functions in development and disease, including cancer. However, defining the place and function of miRNAs in complex regulatory networks is not straightforward. Systems approaches, like the inference of a module network from expression data, can help to achieve this goal. METHODOLOGY/PRINCIPAL FINDINGS: During the last decade, much progress has been made in the development of robust and powerful module network inference algorithms. In this study, we analyze and assess experimentally a module network inferred from both miRNA and mRNA expression data, using our recently developed module network inference algorithm based on probabilistic optimization techniques. We show that several miRNAs are predicted as statistically significant regulators for various modules of tightly co-expressed genes. A detailed analysis of three of those modules demonstrates that the specific assignment of miRNAs is functionally coherent and supported by literature. We further designed a set of experiments to test the assignment of miR-200a as the top regulator of a small module of nine genes. The results strongly suggest that miR-200a is regulating the module genes via the transcription factor ZEB1. Interestingly, this module is most likely involved in epithelial homeostasis and its dysregulation might contribute to the malignant process in cancer cells. CONCLUSIONS/SIGNIFICANCE: Our results show that a robust module network analysis of expression data can provide novel insights of miRNA function in important cellular processes. Such a computational approach, starting from expression data alone, can be helpful in the process of identifying the function of miRNAs by suggesting modules of co-expressed genes in which they play a regulatory role. As shown in this study, those modules can then be

  16. Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.

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    Laetitia Marisa

    Full Text Available BACKGROUND: Colon cancer (CC pathological staging fails to accurately predict recurrence, and to date, no gene expression signature has proven reliable for prognosis stratification in clinical practice, perhaps because CC is a heterogeneous disease. The aim of this study was to establish a comprehensive molecular classification of CC based on mRNA expression profile analyses. METHODS AND FINDINGS: Fresh-frozen primary tumor samples from a large multicenter cohort of 750 patients with stage I to IV CC who underwent surgery between 1987 and 2007 in seven centers were characterized for common DNA alterations, including BRAF, KRAS, and TP53 mutations, CpG island methylator phenotype, mismatch repair status, and chromosomal instability status, and were screened with whole genome and transcriptome arrays. 566 samples fulfilled RNA quality requirements. Unsupervised consensus hierarchical clustering applied to gene expression data from a discovery subset of 443 CC samples identified six molecular subtypes. These subtypes were associated with distinct clinicopathological characteristics, molecular alterations, specific enrichments of supervised gene expression signatures (stem cell phenotype-like, normal-like, serrated CC phenotype-like, and deregulated signaling pathways. Based on their main biological characteristics, we distinguished a deficient mismatch repair subtype, a KRAS mutant subtype, a cancer stem cell subtype, and three chromosomal instability subtypes, including one associated with down-regulated immune pathways, one with up-regulation of the Wnt pathway, and one displaying a normal-like gene expression profile. The classification was validated in the remaining 123 samples plus an independent set of 1,058 CC samples, including eight public datasets. Furthermore, prognosis was analyzed in the subset of stage II-III CC samples. The subtypes C4 and C6, but not the subtypes C1, C2, C3, and C5, were independently associated with shorter relapse

  17. PATE, a gene expressed in prostate cancer, normal prostate, and testis, identified by a functional genomic approach

    Science.gov (United States)

    Bera, Tapan K.; Maitra, Rangan; Iavarone, Carlo; Salvatore, Giuliana; Kumar, Vasantha; Vincent, James J.; Sathyanarayana, B. K.; Duray, Paul; Lee, B. K.; Pastan, Ira

    2002-03-01

    To identify target antigens for prostate cancer therapy, we have combined computer-based screening of the human expressed sequence tag database and experimental expression analysis to identify genes that are expressed in normal prostate and prostate cancer but not in essential human tissues. Using this approach, we identified a gene that is expressed specifically in prostate cancer, normal prostate, and testis. The gene has a 1.5-kb transcript that encodes a protein of 14 kDa. We named this gene PATE (expressed in prostate and testis). In situ hybridization shows that PATE mRNA is expressed in the epithelial cells of prostate cancers and in normal prostate. Transfection of the PATE cDNA with a Myc epitope tag into NIH 3T3 cells and subsequent cell fractionation analysis shows that the PATE protein is localized in the membrane fraction of the cell. Analysis of the amino acid sequence of PATE shows that it has structural similarities to a group of proteins known as three-finger toxins, which includes the extracellular domain of the type transforming growth factor receptor. Restricted expression of PATE makes it a potential candidate for the immunotherapy of prostate cancer.

  18. Gene expression alterations associated with outcome in aromatase inhibitor-treated ER+ early-stage breast cancer patients

    DEFF Research Database (Denmark)

    Gravgaard Thomsen, Karina Hedelund; Lyng, Maria Bibi; Elias, Daniel

    2015-01-01

    Aromatase inhibitors (AI), either alone or together with chemotherapy, have become the standard adjuvant treatment for postmenopausal, estrogen receptor-positive (ER+) breast cancer. Although AIs improve overall survival, resistance is still a major clinical problem, thus additional biomarkers...... predictive of outcome of ER+ breast cancer patients treated with AIs are needed. Global gene expression analysis was performed on ER+ primary breast cancers from patients treated with adjuvant AI monotherapy; half experienced recurrence (median follow-up 6.7 years). Gene expression alterations were validated...... by qRT-PCR, and functional studies evaluating the effect of siRNA-mediated gene knockdown on cell growth were performed. Twenty-six genes, including TFF3, DACH1, RGS5, and GHR, were shown to exhibit altered expression in tumors from patients with recurrence versus non-recurrent (fold change ≥1.5, p

  19. Correlation between ECT2 gene expression and methylation change of ECT2 promoter region in pancreatic cancer

    Institute of Scientific and Technical Information of China (English)

    Mang-Li Zhang; Sen Lu; Lin Zhou; Shu-Sen Zheng

    2008-01-01

    BACKGROUND: Pancreatic cancer is closely related to epigenetic abnormality. The epithelial cell transforming sequence 2 gene (ECT2) plays a critical role in Rho activation during cytokinesis, and thus may play a role in the pathogenesis of pancreatic cancer. In this study, we investigated the relationships between aberrant expression and epigenetic changes of the ECT2 gene in pancreatic cancer. METHODS: Four cell lines (PANC-1, Colo357, T3M-4 and PancTuⅠ) and pancreatic ductal adenocarcinoma (PDAC) tissues were used for mRNA detection. After restriction isoschizomer endonucleases (MspⅠ/HpaⅡ) were used to digest the DNA sequence (5'-CCGG-3'), PCR was made to amplify the product. And RT-PCR was applied to determine the expression of the gene. RESULTS: The mRNA expression of the ECT2 gene was higher in pancreatic tumor tissue than in normal tissue. The gene was also expressed in the 4 PDAC cell lines. The methylation states of the upstream regions of the ECT2 gene were almost identical in normal, tumor pancreatic tissues, and the 4 PDAC cell lines. Some of the 5'-CCGG-3' areas in the upstream region of ECT2 were methylated, while others were unmethylated. CONCLUSIONS: The oncogene ECT2 is overexpressed in pancreatic tumor tissues as veriifed by RT-PCR detection. The methylation status of DNA in promoter areas is involved in the gene expression, along with other factors, in pancreatic cancer.

  20. Epigenetic silencing of the sulfate transporter gene DTDST induces sialyl Lewisx expression and accelerates proliferation of colon cancer cells.

    Science.gov (United States)

    Yusa, Akiko; Miyazaki, Keiko; Kimura, Naoko; Izawa, Mineko; Kannagi, Reiji

    2010-05-15

    Colon cancer cells express the carbohydrate determinant sialyl Lewis(x), while they exhibit markedly decreased the expression of its sulfated derivative, sialyl 6-sulfo Lewis(x). In contrast, normal colonic epithelial cells strongly express sialyl 6-sulfo Lewis(x), but they virtually do not express sialyl Lewis(x). Impaired sulfation was therefore suggested to occur during the course of malignant transformation of colonic epithelial cells and was assumed to be responsible for the increased sialyl Lewis(x) expression in cancers. To elucidate the molecular biological background of the impaired sulfation in cancers, we studied the expression levels of mRNA for 6-O-sulfotransferase isoenzymes, PAPS synthases and transporters, and a cell membrane sulfate transporter, DTDST, in cancer tissues. The most striking decrease in cancer cells compared with nonmalignant epithelial cells was noted in the transcription of the DTDST gene (P = 0.0000014; n = 20). Most cultured colon cancer cells had a diminished DTDST transcription, which was restored when cultured with histone deacetylase inhibitors. Suppression of DTDST transcription under the control of a tet-off inducible promoter resulted in increased sialyl Lewis(x) expression and reduced sialyl 6-sulfo Lewis(x) expression. Unexpectedly, the growth rate of the cancer cells was markedly enhanced when transcription of DTDST was suppressed. These results show that the decrease in the transcription of the sulfate transporter gene is the major cause of decreased expression of sialyl 6-sulfo Lewis(x) and increased expression of sialyl Lewis(x) in colon cancers. The results also suggest that the diminished DTDST expression is closely related to enhanced proliferation of cancer cells.

  1. Optimization of laser capture microdissection and RNA amplification for gene expression profiling of prostate cancer

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    Vasmatzis George

    2007-03-01

    Full Text Available Abstract Background To discover prostate cancer biomarkers, we profiled gene expression in benign and malignant cells laser capture microdissected (LCM from prostate tissues and metastatic prostatic adenocarcinomas. Here we present methods developed, optimized, and validated to obtain high quality gene expression data. Results RNase inhibitor was included in solutions used to stain frozen tissue sections for LCM, which improved RNA quality significantly. Quantitative PCR assays, requiring minimal amounts of LCM RNA, were developed to determine RNA quality and concentration. SuperScript II™ reverse transcriptase was replaced with SuperScript III™, and SpeedVac concentration was eliminated to optimize linear amplification. The GeneChip® IVT labeling kit was used rather than the Enzo BioArray™ HighYield™ RNA transcript labeling kit since side-by-side comparisons indicated high-end signal saturation with the latter. We obtained 72 μg of labeled complementary RNA on average after linear amplification of about 2 ng of total RNA. Conclusion Unsupervised clustering placed 5/5 normal and 2/2 benign prostatic hyperplasia cases in one group, 5/7 Gleason pattern 3 cases in another group, and the remaining 2/7 pattern 3 cases in a third group with 8/8 Gleason pattern 5 cases and 3/3 metastatic prostatic adenocarcinomas. Differential expression of alpha-methylacyl coenzyme A racemase (AMACR and hepsin was confirmed using quantitative PCR.

  2. Lestaurtinib inhibits histone phosphorylation and androgen-dependent gene expression in prostate cancer cells.

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    Jens Köhler

    Full Text Available BACKGROUND: Epigenetics is defined as heritable changes in gene expression that are not based on changes in the DNA sequence. Posttranslational modification of histone proteins is a major mechanism of epigenetic regulation. The kinase PRK1 (protein kinase C related kinase 1, also known as PKN1 phosphorylates histone H3 at threonine 11 and is involved in the regulation of androgen receptor signalling. Thus, it has been identified as a novel drug target but little is known about PRK1 inhibitors and consequences of its inhibition. METHODOLOGY/PRINCIPAL FINDING: Using a focused library screening approach, we identified the clinical candidate lestaurtinib (also known as CEP-701 as a new inhibitor of PRK1. Based on a generated 3D model of the PRK1 kinase using the homolog PKC-theta (protein kinase c theta protein as a template, the key interaction of lestaurtinib with PRK1 was analyzed by means of molecular docking studies. Furthermore, the effects on histone H3 threonine phosphorylation and androgen-dependent gene expression was evaluated in prostate cancer cells. CONCLUSIONS/SIGNIFICANCE: Lestaurtinib inhibits PRK1 very potently in vitro and in vivo. Applied to cell culture it inhibits histone H3 threonine phosphorylation and androgen-dependent gene expression, a feature that has not been known yet. Thus our findings have implication both for understanding of the clinical activity of lestaurtinib as well as for future PRK1 inhibitors.

  3. Aspirin Has Antitumor Effects via Expression of Calpain Gene in Cervical Cancer Cells

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    Sang Koo Lee

    2008-01-01

    Full Text Available Aspirin and other nonsteroidal anti-inflammatory drugs show efficacy in the prevention of cancers. It is known that they can inhibit cyclooxygenases, and some studies have shown that they can induce apoptosis. Our objective in this study was to investigate the mechanism by which aspirin exerts its apoptosis effects in human cervical cancer HeLa cells. The effect of aspirin on the gene expression was studied by differential mRNA display RT-PCR. Among the isolated genes, mu-type calpain gene was upregulated by aspirin treatment. To examine whether calpain mediates the antitumor effects, HeLa cells were stably transfected with the mammalian expression vector pCR3.1 containing mu-type calpain cDNA (pCRCAL/HeLa, and tumor formations were measured in nude mice. When tumor burden was measured by day 49, HeLa cells and pCR/HeLa cells (vector control produced tumors of 2126 mm3 and 1638 mm3, respectively, while pCRCAL/HeLa cells produced markedly smaller tumor of 434 mm3 in volume. The caspase-3 activity was markedly elevated in pCRCAL/HeLa cells. The increased activity levels of caspase-3 in pCRCAL/HeLa cells, in parallel with the decreased tumor formation, suggest a correlation between caspase-3 activity and calpain protein. Therefore, we conclude that aspirin-induced calpain mediates an antitumor effect via caspase-3 in cervical cancer cells.

  4. Analysis of gene expression and chemoresistance of CD133+ cancer stem cells in glioblastoma

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    Lu Lizhi

    2006-12-01

    Full Text Available Abstract Background Recently, a small population of cancer stem cells in adult and pediatric brain tumors has been identified. Some evidence has suggested that CD133 is a marker for a subset of leukemia and glioblastoma cancer stem cells. Especially, CD133 positive cells isolated from human glioblastoma may initiate tumors and represent novel targets for therapeutics. The gene expression and the drug resistance property of CD133 positive cancer stem cells, however, are still unknown. Results In this study, by FACS analysis we determined the percentage of CD133 positive cells in three primary cultured cell lines established from glioblastoma patients 10.2%, 69.7% and 27.5%, respectively. We also determined the average mRNA levels of markers associated with neural precursors. For example, CD90, CD44, CXCR4, Nestin, Msi1 and MELK mRNA on CD133 positive cells increased to 15.6, 5.7, 337.8, 21.4, 84 and 1351 times, respectively, compared to autologous CD133 negative cells derived from cell line No. 66. Additionally, CD133 positive cells express higher levels of BCRP1 and MGMT mRNA, as well as higher mRNA levels of genes that inhibit apoptosis. Furthermore, CD133 positive cells were significantly resistant to chemotherapeutic agents including temozolomide, carboplatin, paclitaxel (Taxol and etoposide (VP16 compared to autologous CD133 negative cells. Finally, CD133 expression was significantly higher in recurrent GBM tissue obtained from five patients as compared to their respective newly diagnosed tumors. Conclusion Our study for the first time provided evidence that CD133 positive cancer stem cells display strong capability on tumor's resistance to chemotherapy. This resistance is probably contributed by the CD133 positive cell with higher expression of on BCRP1 and MGMT, as well as the anti-apoptosis protein and inhibitors of apoptosis protein families. Future treatment should target this small population of CD133 positive cancer stem cells in

  5. Comparing cancer vs normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients

    DEFF Research Database (Denmark)

    Rapin, Nicolas; Bagger, Frederik Otzen; Jendholm, Johan

    2014-01-01

    Gene expression profiling has been used extensively to characterize cancer, identify novel subtypes, and improve patient stratification. However, it has largely failed to identify transcriptional programs that differ between cancer and corresponding normal cells and has not been efficient in iden......-karyotype AML, which allowed for the generation of a highly prognostic survival signature. Collectively, our CvN method holds great potential as a tool for the analysis of gene expression profiles of cancer patients.......Gene expression profiling has been used extensively to characterize cancer, identify novel subtypes, and improve patient stratification. However, it has largely failed to identify transcriptional programs that differ between cancer and corresponding normal cells and has not been efficient...... in identifying expression changes fundamental to disease etiology. Here we present a method that facilitates the comparison of any cancer sample to its nearest normal cellular counterpart, using acute myeloid leukemia (AML) as a model. We first generated a gene expression-based landscape of the normal...

  6. Identification of Differentially Expressed IGFBP5-Related Genes in Breast Cancer Tumor Tissues Using cDNA Microarray Experiments

    OpenAIRE

    2015-01-01

    IGFBP5 is an important regulatory protein in breast cancer progression. We tried to identify differentially expressed genes (DEGs) between breast tumor tissues with IGFBP5 overexpression and their adjacent normal tissues. In this study, thirty-eight breast cancer and adjacent normal breast tissue samples were used to determine IGFBP5 expression by qPCR. cDNA microarrays were applied to the highest IGFBP5 overexpressed tumor samples compared to their adjacent normal breast tissue. Microarray a...

  7. Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer

    DEFF Research Database (Denmark)

    Thomassen, Mads; Tan, Qihua; Kruse, Torben

    2008-01-01

    tumors compared to non-metastasizing tumors. Meta-analysis has been used to determine overrepresentation of pathways and transcription factors targets, concordant deregulated in metastasizing breast tumors, in several data sets. RESULTS: The major findings are upregulation of cell cycle pathways...... system, angiogenesis, DNA repair and several signal transduction pathways are associated to metastasis. Finally several transcription factors e.g. E2F, NFY, and YY1 are identified as being involved in metastasis. CONCLUSIONS: By pathway meta-analysis many biological mechanisms beyond major...... studies. Besides classification of outcome, these global expression patterns may reflect biological mechanisms involved in metastasis of breast cancer. Our purpose has been to investigate pathways and transcription factors involved in metastasis by use of gene expression data sets. METHODS: We have...

  8. Swarm Intelligence Approach Based on Adaptive ELM Classifier with ICGA Selection for Microarray Gene Expression and Cancer Classification

    Directory of Open Access Journals (Sweden)

    T. Karthikeyan

    2014-05-01

    Full Text Available The aim of this research study is based on efficient gene selection and classification of microarray data analysis using hybrid machine learning algorithms. The beginning of microarray technology has enabled the researchers to quickly measure the position of thousands of genes expressed in an organic/biological tissue samples in a solitary experiment. One of the important applications of this microarray technology is to classify the tissue samples using their gene expression representation, identify numerous type of cancer. Cancer is a group of diseases in which a set of cells shows uncontrolled growth, instance that interrupts upon and destroys nearby tissues and spreading to other locations in the body via lymph or blood. Cancer has becomes a one of the major important disease in current scenario. DNA microarrays turn out to be an effectual tool utilized in molecular biology and cancer diagnosis. Microarrays can be measured to establish the relative quantity of mRNAs in two or additional organic/biological tissue samples for thousands/several thousands of genes at the same time. As the superiority of this technique become exactly analysis/identifying the suitable assessment of microarray data in various open issues. In the field of medical sciences multi-category cancer classification play a major important role to classify the cancer types according to the gene expression. The need of the cancer classification has been become indispensible, because the numbers of cancer victims are increasing steadily identified by recent years. To perform this proposed a combination of Integer-Coded Genetic Algorithm (ICGA and Artificial Bee Colony algorithm (ABC, coupled with an Adaptive Extreme Learning Machine (AELM, is used for gene selection and cancer classification. ICGA is used with ABC based AELM classifier to chose an optimal set of genes which results in an efficient hybrid algorithm that can handle sparse data and sample imbalance. The

  9. Expression of Dnmt1, demethylase, MeCP2 and methylation of tumor-related genes in human gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Jing-Yuan Fang; Zhong-Hua Cheng; Ying-Xuan Chen; Rong Lu; Li Yang; Hong-Yin Zhu; Lun-Gen Lu

    2004-01-01

    AIM: To explore the effect of DNA methyltransferase,demethylase and methyl-CpG binding protein MeCP2 on the expressions and methylation of hMSH2 and protooncogene in human gastric cancer.METHODS: Paired samples of primary gastric cancer and corresponding para-cancerous, non-cancerous gastric mucosae were obtained from surgically resected specimens of 28 patients. Transcription levels of Dnmt1, mbd2, MeCP2, p16INK4A,hMSH2 and c-myc were detected by using real-time PCR or RT-PCR. Promoter methylation of p16INK4A, c-myc and hMSH2 genes was assayed by methylation-specific PCR (MSP) and sequencing (mapping). Their relationships were analyzed by Fisher's exact test using the software SPSS. RESULTS: The average mRNA level of Dnmt1 gene from cancerous tissue was higher and that of mbd2 gene from cancerous tissue was lower than that from non-cancerous tissue, respectively. mbd2 was lower in cancerous tissue than in non-cancerous tissue in 14 (50.0%) of patients but higher in 3 cases (10.7%) of non-cancerous gastric tissue (P<0.001). c-myc expression was up-regulated in cancer tissues (P<0.05). The up-regulation of mbd2 was found in all patients with hypomethylated c-myc. The transcriptional levels of p16INK4A and MeCP2 genes did not display any differencebetween gastric cancerous and matched non-cancerous tissues. There were down-regulation and hypermethylation of hMSH2 in cancer tissues, and the hypermethylation of hMSH2 coexisted with down-regulated transcription.However, the transcription level of the above genes was not associated with biological behaviours of gastric cancers.CONCLUSION: The up-regulation of proto-oncogene may be the consequence of epigenetic control of gene expression by demethylase, and mbd2 is involved in the regulation of hMSH2 expression in human gastric cancer.

  10. Expression of p53 family genes in urinary bladder cancer: correlation with disease aggressiveness and recurrence.

    Science.gov (United States)

    Papadogianni, Danae; Soulitzis, Nikolaos; Delakas, Demetrios; Spandidos, Demetrios A

    2014-03-01

    p53 is a tumour suppressor gene with an established role in the majority of human neoplasias. Its homologues-p63 and p73-cannot be classified as tumour suppressors, since they encode isoforms with oncogenic properties as well. p63 plays a crucial role in epithelial cell differentiation and p73 is essential for neuronal cell development. The p63 and p73 expressions have been investigated in a variety of human tumours including bladder carcinomas; yet, this is the first study to simultaneously analyse the transcriptional levels of all p53 family members in bladder cancer. Using quantitative real-time polymerase chain reaction, we measured the mRNA expression of p53, p63 and p73 in 30 bladder tumours, each paired with adjacent normal tissue. All three studied genes were up-regulated in malignant specimens, p53 by 1.9-fold, p63 by threefold and p73 by twofold, respectively. Further analysis suggested that p63 and p73 act independently of p53 in the malignant bladder epithelium. Statistical analysis revealed that p63 overexpression was more frequent in recurrent bladder tumours (p = 0.045) and in older patients (p = 0.022). Papillary tumours also exhibited abnormal p63 expression (p = 0.026). Finally, p73 was up-regulated in Grade III one-site tumours (p = 0.040). Our results indicate that all p53 family members are abnormally expressed in bladder cancer but do not act synergistically. High levels of p63 correlate with non-muscle invasive tumours with frequent relapses, whereas p73 overexpression is associated with a more aggressive tumour phenotype.

  11. Integrated analysis of differentially expressed genes and pathways in triple-negative breast cancer

    Science.gov (United States)

    Peng, Cancan; Ma, Wenli; Xia, Wei; Zheng, Wenling

    2017-01-01

    Triple-negative breast cancer (TNBC) is a heterogeneous disease characterized by an aggressive phenotype and reduced survival. The aim of the present study was to investigate the molecular mechanisms involved in the carcinogenesis of TNBC and to identify novel target molecules for therapy. The differentially expressed genes (DEGs) in TNBC and normal adjacent tissue were assessed by analyzing the GSE41970 microarray data using Qlucore Omics Explorer, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes. Pathway enrichment analyses for DEGs were performed using the Database for Annotation, Visualization and Integrated Discovery online resource. A protein-protein interaction (PPI) network was constructed using Search Tool for the Retrieval of Interacting Genes, and subnetworks were analyzed by ClusterONE. The PPI network and subnetworks were visualized using Cytoscape software. A total of 121 DEGs were obtained, of which 101 were upregulated and 20 were downregulated. The upregulated DEGs were significantly enriched in 14 pathways and 83 GO biological processes, while the downregulated DEGs were significantly enriched in 18 GO biological processes. The PPI network with 118 nodes and 1,264 edges was constructed and three subnetworks were extracted from the entire network. The significant hub DEGs with high degrees were identified, including TP53, glyceraldehyde-3-phosphate dehydrogenase, cyclin D1, HRAS and proliferating cell nuclear antigen, which were predominantly enriched in the cell cycle pathway and pathways in cancer. A number of critical genes and pathways were revealed to be associated with TNBC. The present study may provide an improved understanding of the pathogenesis of TNBC and contribute to the development of therapeutic targets for TNBC. PMID:28075450

  12. Expression of tumor necrosis factor-alpha-mediated genes predicts recurrence-free survival in lung cancer.

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    Baohua Wang

    Full Text Available In this study, we conducted a meta-analysis on high-throughput gene expression data to identify TNF-α-mediated genes implicated in lung cancer. We first investigated the gene expression profiles of two independent TNF-α/TNFR KO murine models. The EGF receptor signaling pathway was the top pathway associated with genes mediated by TNF-α. After matching the TNF-α-mediated mouse genes to their human orthologs, we compared the expression patterns of the TNF-α-mediated genes in normal and tumor lung tissues obtained from humans. Based on the TNF-α-mediated genes that were dysregulated in lung tumors, we developed a prognostic gene signature that effectively predicted recurrence-free survival in lung cancer in two validation cohorts. Resampling tests suggested that the prognostic power of the gene signature was not by chance, and multivariate analysis suggested that this gene signature was independent of the traditional clinical factors and enhanced the identification of lung cancer patients at greater risk for recurrence.

  13. Inhibition of LINE-1 retrotransposon-encoded reverse transcriptase modulates the expression of cell differentiation genes in breast cancer cells.

    Science.gov (United States)

    Patnala, Radhika; Lee, Sung-Hun; Dahlstrom, Jane E; Ohms, Stephen; Chen, Long; Dheen, S Thameem; Rangasamy, Danny

    2014-01-01

    Long Interspersed Elements (L1 elements) are biologically active retrotransposons that are capable of autonomous replication using their own reverse transcriptase (RT) enzyme. Expression of the normally repressed RT has been implicated in cancer cell growth. However, at present, little is known about the expression of L1-encoded RT activity or the molecular changes that are associated with RT activity in the development of breast cancer. Here, we report that RT activity is widespread in breast cancer cells. The expression of RT protein decreased markedly in breast cancer cells after treatment with the antiretroviral drug, efavirenz. While the majority of cells showed a significant reduction in proliferation, inhibition of RT was also accompanied by cell-specific differences in morphology. MCF7 cells displayed elongated microtubule extensions that adhered tightly to their substrate, while a large fraction of the T47D cells that we studied formed long filopodia projections. These morphological changes were reversible upon cessation of RT inhibition, confirming their dependence on RT activity. We also carried out gene expression profiling with microarrays and determined the genes that were differentially expressed during the process of cellular differentiation. Genes involved in proliferation, cell migration, and invasive activity were repressed in RT-inhibited cells. Concomitantly, genes involved in cell projection, formation of vacuolar membranes, and cell-to-cell junctions were significantly upregulated in RT-inhibited cells. qRT-PCR examination of the mRNA expression of these genes in additional cell lines yielded close correlation between their differential expression and the degree of cellular differentiation. Our study demonstrates that the inhibition of L1-encoded RT can reduce the rate of proliferation and promote differentiation of breast cancer cells. Together, these results provide a direct functional link between the expression of L1 retrotransposons and

  14. In-depth cDNA Library Sequencing Provides Quantitative Gene Expression Profiling in Cancer Biomarker Discovery

    Institute of Scientific and Technical Information of China (English)

    Wanling Yang; Dingge Ying; Yu-Lung Lau

    2009-01-01

    procedures may allow detection of many expres-sion features for less abundant gene variants. With the reduction of sequencing cost and the emerging of new generation sequencing technology, in-depth sequencing of cDNA pools or libraries may represent a better and powerful tool in gene expression profiling and cancer biomarker detection. We also propose using sequence-specific subtraction to remove hundreds of the most abundant housekeeping genes to in-crease sequencing depth without affecting relative expression ratio of other genes, as transcripts from as few as 300 most abundantly expressed genes constitute about 20% of the total transcriptome. In-depth sequencing also represents a unique ad-vantage of detecting unknown forms of transcripts, such as alternative splicing variants, fusion genes, and regulatory RNAs, as well as detecting mutations and polymorphisms that may play important roles in disease pathogenesis.

  15. Gene profile identifies zinc transporters differentially expressed in normal human organs and human pancreatic cancer.

    Science.gov (United States)

    Yang, J; Zhang, Y; Cui, X; Yao, W; Yu, X; Cen, P; Hodges, S E; Fisher, W E; Brunicardi, F C; Chen, C; Yao, Q; Li, M

    2013-03-01

    Deregulated expression of zinc transporters was linked to several cancers. However, the detailed expression profile of all human zinc transporters in normal human organs and in human cancer, especially in pancreatic cancer is not available. The objectives of this study are to investigate the complete expression patterns of 14 ZIP and 10 ZnT transporters in a large number of normal human organs and in human pancreatic cancer tissues and cell lines. We examined the expression patterns of ZIP and ZnT transporters in 22 different human organs and tissues, 11 pairs of clinical human pancreatic cancer specimens and surrounding normal/benign tissues, as well as 10 established human pancreatic cancer cell lines plus normal human pancreatic ductal epithelium (HPDE) cells, using real time RT-PCR and immunohistochemistry. The results indicate that human zinc transporters have tissue specific expression patterns, and may play different roles in different organs or tissues. Almost all the ZIPs except for ZIP4, and most ZnTs were down-regulated in human pancreatic cancer tissues compared to the surrounding benign tissues. The expression patterns of individual ZIPs and ZnTs are similar among different pancreatic cancer lines. Those results and our previous studies suggest that ZIP4 is the only zinc transporter that is significantly up-regulated in human pancreatic cancer and might be the major zinc transporter that plays an important role in pancreatic cancer growth. ZIP4 might serve as a novel molecular target for pancreatic cancer diagnosis and therapy.

  16. SVM-T-RFE: a novel gene selection algorithm for identifying metastasis-related genes in colorectal cancer using gene expression profiles.

    Science.gov (United States)

    Li, Xiaobo; Peng, Sihua; Chen, Jian; Lü, Bingjian; Zhang, Honghe; Lai, Maode

    2012-03-09

    Although metastasis is the principal cause of death cause for colorectal cancer (CRC) patients, the molecular mechanisms underlying CRC metastasis are still not fully understood. In an attempt to identify metastasis-related genes in CRC, we obtained gene expression profiles of 55 early stage primary CRCs, 56 late stage primary CRCs, and 34 metastatic CRCs from the expression project in Oncology (http://www.intgen.org/expo/). We developed a novel gene selection algorithm (SVM-T-RFE), which extends support vector machine recursive feature elimination (SVM-RFE) algorithm by incorporating T-statistic. We achieved highest classification accuracy (100%) with smaller gene subsets (10 and 6, respectively), when classifying between early and late stage primary CRCs, as well as between metastatic CRCs and late stage primary CRCs. We also compared the performance of SVM-T-RFE and SVM-RFE gene selection algorithms on another large-scale CRC dataset and the five public microarray datasets. SVM-T-RFE bestowed SVM-RFE algorithm in identifying more differentially expressed genes, and achieving highest prediction accuracy using equal or smaller number of selected genes. A fraction of selected genes have been reported to be associated with CRC development or metastasis.

  17. A database study that identifies genes whose expression correlates, negatively or positively, with 5-year survival of cancer patients

    DEFF Research Database (Denmark)

    Stein, Wilfred D; Litman, Thomas; Fojo, Tito;

    2007-01-01

    . As a measure of tractability, the 5-year survival of patients presenting with distant (metastatic) tumors was used. Genes that encode proteins related to cell adhesion, and enzymes involved in metabolic oxidation or reduction, were upregulated in intractable cancers. Genes that encode proteins implicated......A published microarray gene expression database containing data on 174 tumor samples from ten tissues was mined, enabling the identification of classes of genes whose expression correlates significantly with the intractability, or tractability, to therapy of tumors derived from such tissues...... in the control of DNA transcription were downregulated in the intractable cancers. We describe hypotheses with regard to cell functions that may help in designing new therapeutic modalities, aimed at improving survival of cancer patients....

  18. Differentially expressed androgen-regulated genes in androgen-sensitive tissues reveal potential biomarkers of early prostate cancer.

    Directory of Open Access Journals (Sweden)

    Dogus Murat Altintas

    Full Text Available BACKGROUND: Several data favor androgen receptor implication in prostate cancer initiation through the induction of several gene activation programs. The aim of the study is to identify potential biomarkers for early diagnosis of prostate cancer (PCa among androgen-regulated genes (ARG and to evaluate comparative expression of these genes in normal prostate and normal prostate-related androgen-sensitive tissues that do not (or rarely give rise to cancer. METHODS: ARG were selected in non-neoplastic adult human prostatic epithelial RWPE-1 cells stably expressing an exogenous human androgen receptor, using RNA-microarrays and validation by qRT-PCR. Expression of 48 preselected genes was quantified in tissue samples (seminal vesicles, prostate transitional zones and prostate cancers, benign prostatic hypertrophy obtained from surgical specimens using TaqMan® low-density arrays. The diagnostic performances of these potential biomarkers were compared to that of genes known to be associated with PCa (i.e. PCA3 and DLX1. RESULTS AND DISCUSSION: By crossing expression studies in 26 matched PCa and normal prostate transitional zone samples, and 35 matched seminal vesicle and PCa samples, 14 genes were identified. Similarly, 9 genes were overexpressed in 15 benign prostatic hypertrophy samples, as compared to PCa samples. Overall, we selected 8 genes of interest to evaluate their diagnostic performances in comparison with that of PCA3 and DLX1. Among them, 3 genes: CRYAB, KCNMA1 and SDPR, were overexpressed in all 3 reference non-cancerous tissues. The areas under ROC curves of these genes reached those of PCA3 (0.91 and DLX1 (0.94. CONCLUSIONS: We identified ARG with reduced expression in PCa and with significant diagnostic values for discriminating between cancerous and non-cancerous prostatic tissues, similar that of PCA3. Given their expression pattern, they could be considered as potentially protective against prostate cancer. Moreover, they could

  19. Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test

    Directory of Open Access Journals (Sweden)

    Kronenwett Ralf

    2012-10-01

    Full Text Available Abstract Background EndoPredict (EP is a clinically validated multianalyte gene expression test to predict distant metastasis in ER-positive, HER2-negative breast cancer treated with endocrine therapy alone. The test is based on the combined analysis of 12 genes in formalin-fixed, paraffin-embedded (FFPE tissue by reverse transcription-quantitative real-time PCR (RT-qPCR. Recently, it was shown that EP is feasible for reliable decentralized assessment of gene expression. The aim of this study was the analytical validation of the performance characteristics of the assay and its verification in a molecular-pathological routine laboratory. Methods Gene expression values to calculate the EP score were assayed by one-step RT-qPCR using RNA from FFPE tumor tissue. Limit of blank, limit of detection, linear range, and PCR efficiency were assessed for each of the 12 PCR assays using serial samples dilutions. Different breast cancer samples were used to evaluate RNA input range, precision and inter-laboratory variability. Results PCR assays were linear up to Cq values between 35.1 and 37.2. Amplification efficiencies ranged from 75% to 101%. The RNA input range without considerable change of the EP score was between 0.16 and 18.5 ng/μl. Analysis of precision (variation of day, day time, instrument, operator, reagent lots resulted in a total noise (standard deviation of 0.16 EP score units on a scale from 0 to 15. The major part of the total noise (SD 0.14 was caused by the replicate-to-replicate noise of the PCR assays (repeatability and was not associated with different operating conditions (reproducibility. Performance characteristics established in the manufacturer’s laboratory were verified in a routine molecular pathology laboratory. Comparison of 10 tumor samples analyzed in two different laboratories showed a Pearson coefficient of 0.995 and a mean deviation of 0.15 score units. Conclusions The EP test showed reproducible performance

  20. Tumor-specific gene expression patterns with gene expression profiles

    Institute of Scientific and Technical Information of China (English)

    RUAN Xiaogang; LI Yingxin; LI Jiangeng; GONG Daoxiong; WANG Jinlian

    2006-01-01

    Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.

  1. Expression of the lncRNA Maternally Expressed Gene 3 (MEG3) Contributes to the Control of Lung Cancer Cell Proliferation by the Rb Pathway

    OpenAIRE

    2016-01-01

    Maternally expressed gene 3 (MEG3, mouse homolog Gtl2) encodes a long noncoding RNA (lncRNA) that is expressed in many normal tissues, but is suppressed in various cancer cell lines and tumors, suggesting it plays a functional role as a tumor suppressor. Hypermethylation has been shown to contribute to this loss of expression. We now demonstrate that MEG3 expression is regulated by the retinoblastoma protein (Rb) pathway and correlates with a change in cell proliferation. Microarray analysis ...

  2. Estrogen Receptor β2 Induces Hypoxia Signature of Gene Expression by Stabilizing HIF-1α in Prostate Cancer.

    Directory of Open Access Journals (Sweden)

    Prasenjit Dey

    Full Text Available The estrogen receptor (ER β variant ERβ2 is expressed in aggressive castration-resistant prostate cancer and has been shown to correlate with decreased overall survival. Genome-wide expression analysis after ERβ2 expression in prostate cancer cells revealed that hypoxia was an overrepresented theme. Here we show that ERβ2 interacts with and stabilizes HIF-1α protein in normoxia, thereby inducing a hypoxic gene expression signature. HIF-1α is known to stimulate metastasis by increasing expression of Twist1 and increasing vascularization by directly activating VEGF expression. We found that ERβ2 interacts with HIF-1α and piggybacks to the HIF-1α response element present on the proximal Twist1 and VEGF promoters. These findings suggest that at least part of the oncogenic effects of ERβ2 is mediated by HIF-1α and that targeting of this ERβ2 - HIF-1α interaction may be a strategy to treat prostate cancer.

  3. Estrogen Receptor β2 Induces Hypoxia Signature of Gene Expression by Stabilizing HIF-1α in Prostate Cancer

    Science.gov (United States)

    Dey, Prasenjit; Velazquez-Villegas, Laura A.; Faria, Michelle; Turner, Anthony; Jonsson, Philp; Webb, Paul; Williams, Cecilia; Gustafsson, Jan-Åke; Ström, Anders M.

    2015-01-01

    The estrogen receptor (ER) β variant ERβ2 is expressed in aggressive castration-resistant prostate cancer and has been shown to correlate with decreased overall survival. Genome-wide expression analysis after ERβ2 expression in prostate cancer cells revealed that hypoxia was an overrepresented theme. Here we show that ERβ2 interacts with and stabilizes HIF-1α protein in normoxia, thereby inducing a hypoxic gene expression signature. HIF-1α is known to stimulate metastasis by increasing expression of Twist1 and increasing vascularization by directly activating VEGF expression. We found that ERβ2 interacts with HIF-1α and piggybacks to the HIF-1α response element present on the proximal Twist1 and VEGF promoters. These findings suggest that at least part of the oncogenic effects of ERβ2 is mediated by HIF-1α and that targeting of this ERβ2 – HIF-1α interaction may be a strategy to treat prostate cancer. PMID:26010887

  4. Expression of the Bcl-2 family genes and complexes involved in the mitochondrial transport in prostate cancer cells.

    Science.gov (United States)

    Asmarinah, Asmarinah; Paradowska-Dogan, Agnieszka; Kodariah, Ria; Tanuhardja, Budiana; Waliszewski, Przemyslaw; Mochtar, Chaidir Arif; Weidner, Wolfgang; Hinsch, Elvira

    2014-10-01

    Alteration of molecular pathways triggering apoptosis gives raise to various pathological tissue processes, such as tumorigenesis. The mitochondrial pathway is regulated by both the genes of the Bcl-2 family and the genes encoding mitochondrial transport molecules. Those proteins allow a release of cyctochrome c through the outer mitochondrial membrane. This release activates the caspase cascade resulting in death of cells. There are at least two main transport systems associated with the family of Bcl-2 proteins that are involved in transport of molecules through the outer mitochondrial membrane, i.e., the voltage dependent anion channels (VDACs) and translocases of the outer mitochondrial membrane proteins (TOMs). We investigated the expression of genes of the Bcl-2 family, i.e., pro-apoptotic Bak and Bid, and anti-apoptotic Bcl-2; VDAC gene, i.e., VDAC1, VDAC2 and VDAC3; and TOMM genes, i.e., TOMM20, TOMM22 and TOMM40. This study was performed at the mRNA and the protein level. Fourteen paraffin embedded prostate cancer tissues and five normal prostate tissues were analyzed by the quantitative PCR array and immunohistochemistry. We found a significant increase in both mRNA expression of the anti-apoptotic Bcl-2 gene and VDAC1 gene in prostate cancer tissue in comparison with their normal counterparts. Translation of the anti-apoptotic Bcl-2 and VDAC1 genes in prostate cancer tissue was slightly increased. We observed no significant differences in the mRNA expression of the pro-apoptotic Bak and Bid genes, VDAC2 or VDAC3 genes or the three TOMM genes in these tissues. The pro-apoptotic Bax protein was downtranslated significantly in secretory cells of prostate cancer as compared to normal prostate. We suggest that this protein is a good candidate as biomarker for prostate cancer.

  5. A survey of immunohistochemical biomarkers for basal-like breast cancer against a gene expression profile gold standard.

    Science.gov (United States)

    Won, Jennifer R; Gao, Dongxia; Chow, Christine; Cheng, Jinjin; Lau, Sherman Y H; Ellis, Matthew J; Perou, Charles M; Bernard, Philip S; Nielsen, Torsten O

    2013-11-01

    Gene expression profiling of breast cancer delineates a particularly aggressive subtype referred to as 'basal-like', which comprises ∼15% of all breast cancers, afflicts younger women and is refractory to endocrine and anti-HER2 therapies. Immunohistochemical surrogate definitions for basal-like breast cancer, such as the clinical ER/PR/HER2 triple-negative phenotype and models incorporating positive expression for CK5 (CK5/6) and/or EGFR are heavily cited. However, many additional biomarkers for basal-like breast cancer have been described in the literature. A parallel comparison of 46 proposed immunohistochemical biomarkers of basal-like breast cancer was performed against a gene expression profile gold standard on a tissue microarray containing 42 basal-like and 80 non-basal-like breast cancer cases. Ki67 and PPH3 were the most sensitive biomarkers (both 92%) positively expressed in the basal-like subtype, whereas CK14, IMP3 and NGFR were the most specific (100%). Among biomarkers surveyed, loss of INPP4B (a negative regulator of phosphatidylinositol signaling) was 61% sensitive and 99% specific with the highest odds ratio (OR) at 108, indicating the strongest association with basal-like breast cancer. Expression of nestin, a common marker of neural progenitor cells that is also associated with the triple-negative/basal-like phenotype and poor breast cancer prognosis, possessed the second highest OR at 29 among the 46 biomarkers surveyed, as well as 54% sensitivity and 96% specificity. As a positively expressed biomarker, nestin possesses technical advantages over INPP4B that make it a more ideal biomarker for identification of basal-like breast cancer. The comprehensive immunohistochemical biomarker survey presented in this study is a necessary step for determining an optimized surrogate immunopanel that best defines basal-like breast cancer in a practical and clinically accessible way.

  6. Establishment of a human lung cancer cell line with high metastatic potential to multiple organs: gene expression associated with metastatic potential in human lung cancer.

    Science.gov (United States)

    Nakano, Tetsuhiro; Shimizu, Kimihiro; Kawashima, Osamu; Kamiyoshihara, Mitsuhiro; Kakegawa, Seiichi; Sugano, Masayuki; Ibe, Takashi; Nagashima, Toshiteru; Kaira, Kyoichi; Sunaga, Noriaki; Ohtaki, Youichi; Atsumi, Jun; Takeyoshi, Izumi

    2012-11-01

    Convenient and reliable multiple organ metastasis model systems might contribute to understanding the mechanism(s) of metastasis of lung cancer, which may lead to overcoming metastasis and improvement in the treatment outcome of lung cancer. We isolated a highly metastatic subline, PC14HM, from the human pulmonary adenocarcinoma cell line, PC14, using an in vivo selection method. The expression of 34,580 genes was compared between PC14HM and parental PC14 by cDNA microarray analysis. Among the differentially expressed genes, expression of four genes in human lung cancer tissues and adjacent normal lung tissues were compared using real-time reverse transcription polymerase chain reaction. Although BALB/c nude mice inoculated with parental PC14 cells had few metastases, almost all mice inoculated with PC14HM cells developed metastases in multiple organs, including the lung, bone and adrenal gland, the same progression seen in human lung cancer. cDNA microarray analysis revealed that 981 genes were differentially (more than 3-fold) expressed between the two cell lines. Functional classification revealed that many of those genes were associated with cell growth, cell communication, development and transcription. Expression of three upregulated genes (HRB-2, HS3ST3A1 and RAB7) was higher in human cancer tissue compared to normal lung tissue, while expression of EDG1, which was downregulated, was lower in the cancer tissue compared to the normal lung. These results suggest that the newly established PC14HM cell line may provide a mouse model of widespread metastasis of lung cancer. This model system may provide insights into the key genetic determinants of widespread metastasis of lung cancer.

  7. Prediction of the prognosis of breast cancer in routine histologic specimens using a simplified, low-cost gene expression signature

    DEFF Research Database (Denmark)

    Marcell, S.A.; Balazs, A.; Emese, A.;

    2013-01-01

    Prediction of the prognosis of breast cancer in routine histologic specimens using a simplified, low-cost gene expression signature Background: Grade 2 breast carcinomas do not form a uniform prognostic group. Aim: To extend the number of patients and the investigated genes of a previously...... identified prognostic signature described by the authors that reflect chromosomal instability in order to refine characterization of grade 2 breast cancers and identify driver genes. Methods: Using publicly available databases, the authors selected 9 target and 3 housekeeping genes that are capable to divide...... prognosis groups. Centroid-based ranking showed that 3 genes, FOXM1, TOP2A and CLDN4 were able to separate the good and poor prognostic groups of grade 2 breast carcinomas. Conclusion: Using appropriately selected control genes, a limited set of genes is able to split prognostic groups of breast carcinomas...

  8. Wnt/β-catenin pathway regulates MGMT gene expression in cancer and inhibition of Wnt signalling prevents chemoresistance.

    Science.gov (United States)

    Wickström, Malin; Dyberg, Cecilia; Milosevic, Jelena; Einvik, Christer; Calero, Raul; Sveinbjörnsson, Baldur; Sandén, Emma; Darabi, Anna; Siesjö, Peter; Kool, Marcel; Kogner, Per; Baryawno, Ninib; Johnsen, John Inge

    2015-11-25

    The DNA repair enzyme O6-methylguanine-DNA methyltransferase (MGMT) is commonly overexpressed in cancers and is implicated in the development of chemoresistance. The use of drugs inhibiting MGMT has been hindered by their haematologic toxicity and inefficiency. As a different strategy to inhibit MGMT we investigated cellular regulators of MGMT expression in multiple cancers. Here we show a significant correlation between Wnt signalling and MGMT expression in cancers with different origin and confirm the findings by bioinformatic analysis and immunofluorescence. We demonstrate Wnt-dependent MGMT gene expression and cellular co-localization between active β-catenin and MGMT. Pharmacological or genetic inhibition of Wnt activity downregulates MGMT expression and restores chemosensitivity of DNA-alkylating drugs in mouse models. These findings have potential therapeutic implications for chemoresistant cancers, especially of brain tumours where the use of temozolomide is frequently used in treatment.

  9. Quantitative expression profiling guided by common retroviral insertion sites reveals novel and cell type–specific cancer genes in leukemia

    Science.gov (United States)

    Sauvageau, Martin; Miller, Michelle; Lemieux, Sébastien; Lessard, Julie; Hébert, Josée; Sauvageau, Guy

    2017-01-01

    Proviral insertional mutagenesis is a powerful tool for the discovery of cancer-associated genes. The ability of integrated proviruses to affect gene expression over long distances combined with the lack of methods to determine the expression levels of large numbers of genes in a systematic and truly quantitative manner have limited the identification of cancer genes by proviral insertional mutagenesis. Here, we have characterized a new model of proviral insertional mutagenesis-induced lymphoid tumors derived from Eed Polycomb group gene mutant mice and quantitatively determined the expression levels of all genes within 100 kb of 20 different retroviral common insertion sites (CISs) identified in these tumors. Using high-throughput quantitative reverse transcription–polymerase chain reaction (Q-RT-PCR), we document an average of 13 CIS-associated genes deregulated per tumor, half of which are leukemia subtype–specific, while the others are coordinately deregulated in the majority of tumors analyzed. Interestingly, we find that genes located distantly from common proviral integration sites are as frequently deregulated as proximal genes, with multiple genes affected per integration. Our studies reveal an unsuspected conservation in the group of genes deregulated among phenotypically similar subtypes of lymphoid leukemias, and suggest that identification of common molecular determinants of this disease is within reach. PMID:17906077

  10. Stress associated gene expression in blood cells is related to outcome in radiotherapy treated head and neck cancer patients

    Directory of Open Access Journals (Sweden)

    Bøhn Siv K

    2012-09-01

    Full Text Available Abstract Background We previously observed that a radiotherapy-induced biochemical response in plasma was associated with favourable outcome in head and neck squamous carcinoma cancer (HNSCC patients. The aim of the present study was to compare stress associated blood cell gene expression between two sub-groups of HNSCC patients with different biochemical responses to radiotherapy. Methods Out of 87 patients (histologically verified, 10 biochemical ‘responders’ having a high relative increase in plasma oxidative damage and a concomitant decrease in plasma antioxidants during radiotherapy and 10 ‘poor-responders’ were selected for gene-expression analysis and compared using gene set enrichment analysis. Results There was a significant induction of stress-relevant gene-sets in the responders following radiotherapy compared to the poor-responders. The relevance of the involvement of similar stress associated gene expression for HNSCC cancer and radioresistance was verified using two publicly available data sets of 42 HNSCC cases and 14 controls (GEO GSE6791, and radiation resistant and radiation sensitive HNSCC xenografts (E-GEOD-9716. Conclusions Radiotherapy induces a systemic stress response, as revealed by induction of stress relevant gene expression in blood cells, which is associated to favourable outcome in a cohort of 87 HNSCC patients. Whether these changes in gene expression reflects a systemic effect or are biomarkers of the tumour micro-environmental status needs further study. Trial registration Raw data are available at ArrayExpress under accession number E-MEXP-2460.

  11. Comparison of lung cancer cell lines representing four histopathological subtypes with gene expression profiling using quantitative real-time PCR

    Directory of Open Access Journals (Sweden)

    Kawaguchi Makoto

    2010-01-01

    Full Text Available Abstract Background Lung cancers are the most common type of human malignancy and are intractable. Lung cancers are generally classified into four histopathological subtypes: adenocarcinoma (AD, squamous cell carcinoma (SQ, large cell carcinoma (LC, and small cell carcinoma (SC. Molecular biological characterization of these subtypes has been performed mainly using DNA microarrays. In this study, we compared the gene expression profiles of these four subtypes using twelve human lung cancer cell lines and the more reliable quantitative real-time PCR (qPCR. Results We selected 100 genes from public DNA microarray data and examined them by DNA microarray analysis in eight test cell lines (A549, ABC-1, EBC-1, LK-2, LU65, LU99, STC 1, RERF-LC-MA and a normal control lung cell line (MRC-9. From this, we extracted 19 candidate genes. We quantified the expression of the 19 genes and a housekeeping gene, GAPDH, with qPCR, using the same eight cell lines plus four additional validation lung cancer cell lines (RERF-LC-MS, LC-1/sq, 86-2, and MS-1-L. Finally, we characterized the four subtypes of lung cancer cell lines using principal component analysis (PCA of gene expression profiling for 12 of the 19 genes (AMY2A, CDH1, FOXG1, IGSF3, ISL1, MALL, PLAU, RAB25, S100P, SLCO4A1, STMN1, and TGM2. The combined PCA and gene pathway analyses suggested that these genes were related to cell adhesion, growth, and invasion. S100P in AD cells and CDH1 in AD and SQ cells were identified as candidate markers of these lung cancer subtypes based on their upregulation and the results of PCA analysis. Immunohistochemistry for S100P and RAB25 was closely correlated to gene expression. Conclusions These results show that the four subtypes, represented by 12 lung cancer cell lines, were well characterized using qPCR and PCA for the 12 genes examined. Certain genes, in particular S100P and CDH1, may be especially important for distinguishing the different subtypes. Our results

  12. Pharmacological and genetic modulation of Wnt-targeted Cre-Lox-mediated gene expression in colorectal cancer cells

    OpenAIRE

    Bordonaro, Michael; Lazarova, Darina L.; Sartorelli, Alan C.

    2004-01-01

    Wnt-targeted gene therapy has been proposed as a treatment for human colorectal cancer (CRC). The Cre-Lox system consists of methodology for enhancing targeted expression from tissue-specific or cancer-specific promoters. We analyzed the efficiency of Wnt-specific promoters as drivers of the Cre-mediated activity of a luciferase reporter gene or cell death effector gene in CRC cell lines in the presence and absence of two modulators of Wnt activity, sodium butyrate and lithium chloride. Butyr...

  13. Gypenosides causes DNA damage and inhibits expression of DNA repair genes of human oral cancer SAS cells.

    Science.gov (United States)

    Lu, Kung-Wen; Chen, Jung-Chou; Lai, Tung-Yuan; Yang, Jai-Sing; Weng, Shu-Wen; Ma, Yi-Shih; Tang, Nou-Ying; Lu, Pei-Jung; Weng, Jing-Ru; Chung, Jing-Gung

    2010-01-01

    Gypenosides (Gyp) are the major components of Gynostemma pentaphyllum Makino, a Chinese medical plant. Recently, Gyp has been shown to induce cell cycle arrest and apoptosis in many human cancer cell lines. However, there is no available information to address the effects of Gyp on DNA damage and DNA repair-associated gene expression in human oral cancer cells. Therefore, we investigated whether Gyp induced DNA damage and DNA repair gene expression in human oral cancer SAS cells. The results from flow cytometric assay indicated that Gyp-induced cytotoxic effects led to a decrease in the percentage of viable SAS cells. The results from comet assay revealed that the incubation of SAS cells with Gyp led to a longer DNA migration smear (comet tail) when compared with control and this effect was dose-dependent. The results from real-time PCR analysis indicated that treatment of SAS cells with 180 mug/ml of Gyp for 24 h led to a decrease in 14-3-3sigma, DNA-dependent serine/threonine protein kinase (DNAPK), p53, ataxia telangiectasia mutated (ATM), ataxia-telangiectasia and Rad3-related (ATR) and breast cancer gene 1 (BRCA1) mRNA expression. These observations may explain the cell death caused by Gyp in SAS cells. Taken together, Gyp induced DNA damage and inhibited DNA repair-associated gene expressions in human oral cancer SAS cells in vitro.

  14. ATP-Binding Cassette Genes Genotype and Expression: A Potential Association with Pancreatic Cancer Development and Chemoresistance?

    Directory of Open Access Journals (Sweden)

    Li Pang

    2014-01-01

    Full Text Available Genetic polymorphisms in ABC (ATP-binding cassette transporter genes are associated with differential responses to chemotherapy in various cancers including pancreatic cancer. In this study, four SNPs in the ABCB1, ABCC1, and ABCG2 genes were investigated in normal and pancreatic cancerous specimens. The expression of the three transporters was also analyzed. The TT genotypes of G2677T and C3435T in ABCB1 gene were associated with lower risk of developing pancreatic cancer (P=0.013, OR = 0.35 and P=0.015, OR = 0.29, resp.. To our knowledge, this is the first report of the common polymorphisms in the ABCB1 gene affecting the genetic risk of developing pancreatic cancer. Moreover, the expression of ABCB1 in 2677TT and 3435TT carriers was lower compared to the wild-type homozygotes and heterozygotes. A cell viability assay, using standard pancreatic cancer cell lines, revealed that the ABCB1 2677TT-3455TT haplotype was more sensitive than the other haplotypes to gemcitabine. Conclusion. Polymorphisms in ABCB1 G2677T and G3435T were associated with differential susceptibility to pancreatic cancer and may predict responses to chemotherapy.

  15. Review on Feature Selection Techniques and the Impact of SVM for Cancer Classification using Gene Expression Profile

    CERN Document Server

    George, G Victo Sudha; 10.5121/ijcses.2011.2302

    2011-01-01

    The DNA microarray technology has modernized the approach of biology research in such a way that scientists can now measure the expression levels of thousands of genes simultaneously in a single experiment. Gene expression profiles, which represent the state of a cell at a molecular level, have great potential as a medical diagnosis tool. But compared to the number of genes involved, available training data sets generally have a fairly small sample size for classification. These training data limitations constitute a challenge to certain classification methodologies. Feature selection techniques can be used to extract the marker genes which influence the classification accuracy effectively by eliminating the un wanted noisy and redundant genes This paper presents a review of feature selection techniques that have been employed in micro array data based cancer classification and also the predominant role of SVM for cancer classification.

  16. Effect of gemcitabine on the expression of apoptosis-related genes in human pancreatic cancer cells

    Institute of Scientific and Technical Information of China (English)

    Pei-Hong Jiang; Yoshiharu Motoo; Norio Sawabu; Toshinari Minamoto

    2006-01-01

    AIM: To investigate the expression of genes involved in the gemcitabine-induced cytotoxicity in human pancreatic cancer cells.METHODS: A human pancreatic cancer cell line,PANC-1, was cultured. 1×104 PANC-1 cells were plated in 96-well microtiter plates. After being incubated for 24 h,gemcitabine was added to the medium at concentrations ranging 2.5 -1 000 mg/L. The AlamarBlue dye method was used for cell growth analysis. DNA fragmentation was quantitatively assayed using a DNA fragmentation enzyme-linked immunosorbent assay (ELISA) kit. PAP and TP53INP1 mRNA expression was determined using the reverse transcription-polymerase chain reaction with semi-quantitative analysis. The expression of GSK-3β and phospho-GSK-3β proteins was examined with Western blot analysis.RESULTS: The IC50 for the drug after a 48-h exposure to gemcitabine was 16 mg/L. The growth of PANC-1 cells was inhibited by gemcitabine in a concentrationdependent manner (P< 0.0001) and the cell growth was also inhibited throughout the time course (P<0.0001).The DNA fragmentation rate in the gemcitabine-treated group at 48 h was 44.7 %, whereas it was 25.3 % in the untreated group. The PAP mRNA expression was decreased after being treated with gemcitabine, whereas the TP53INP1 mRNA was increased by the gemcitabine treatment. Western blot analysis showed that phosphoGSK-3βser9 was induced by the gemcitabine treatment.CONCLUSION: Gemcitabine suppresses PANC-1cell proliferation and induces apoptosis. Apoptosis is considered to be associated with the inhibition of PAP and GSK-3β, and the activation of TP53INP1 and posphoGSK-33ser9 .

  17. Expression level of novel tumor suppressor gene FATS is associated with the outcome of node positive breast cancer

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jun; GU Lin; ZHAO Lu-jun; ZHANG Xi-feng; QIU Li; LI Zheng

    2011-01-01

    Background Recently, we reported the identification of a previously uncharacterized and evolutionarily conserved gene, fragile-site associated tumor suppressor (FATS), at a frequently deleted region in irradiation (IR)-induced tumors.However, the role of FATS in breast cancer development and its clinical significance has not been defined. The aim of this study was to determine the role of FA7S in breast cancer development and to evaluate its clinical significance in breast cancer.Methods The expression level of FATS mRNA was determined in 106 breast carcinomas and 23 paired normal breast tissues using quantitative real time reverse transcription-polymerase chain reaction (RT-PCR). The relationship between FATS expression and clinicopathological parameters were also analyzed.Results The mRNA level of FATS was down-regulated in breast cancer compared with paired normal tissues. Low expression of FATS was correlated with high nuclear grade. There was a tendency to a favorable outcome for patients with high expression of FATS (P=0.346). However, low expression of FATS was associated with poor outcome of breast cancer patients with node positive (P=0.011). Furthermore, the mRNA level of FATS showed an independent value in predicting the outcome of breast cancer patients with positive lymph nodes.Conclusion FATS is involved in the carcinogenesis and development of breast cancer and could be a potential biomarker and prognostic factor for breast cancer therapy.

  18. Replication error deficient and proficient colorectal cancer gene expression differences caused by 3'UTR polyT sequence deletions

    DEFF Research Database (Denmark)

    Wilding, Jennifer L; McGowan, Simon; Liu, Ying

    2010-01-01

    , and have distinct pathologies. Regulatory sequences controlling all aspects of mRNA processing, especially including message stability, are found in the 3'UTR sequence of most genes. The relevant sequences are typically A/U-rich elements or U repeats. Microarray analysis of 14 RER+ (deficient) and 16 RER......- (proficient) colorectal cancer cell lines confirms a striking difference in expression profiles. Analysis of the incidence of mononucleotide repeat sequences in the 3'UTRs, 5'UTRs, and coding sequences of those genes most differentially expressed in RER+ versus RER- cell lines has shown that much...... of this differential expression can be explained by the occurrence of a massive enrichment of genes with 3'UTR T repeats longer than 11 base pairs in the most differentially expressed genes. This enrichment was confirmed by analysis of two published consensus sets of RER differentially expressed probesets for a large...

  19. Prediction of lung cancer based on serum biomarkers by gene expression programming methods.

    Science.gov (United States)

    Yu, Zhuang; Chen, Xiao-Zheng; Cui, Lian-Hua; Si, Hong-Zong; Lu, Hai-Jiao; Liu, Shi-Hai

    2014-01-01

    In diagnosis of lung cancer, rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important. Serum markers, including lactate dehydrogenase (LDH), C-reactive protein (CRP), carcino-embryonic antigen (CEA), neurone specific enolase (NSE) and Cyfra21-1, are reported to reflect lung cancer characteristics. In this study classification of lung tumors was made based on biomarkers (measured in 120 NSCLC and 60 SCLC patients) by setting up optimal biomarker joint models with a powerful computerized tool - gene expression programming (GEP). GEP is a learning algorithm that combines the advantages of genetic programming (GP) and genetic algorithms (GA). It specifically focuses on relationships between variables in sets of data and then builds models to explain these relationships, and has been successfully used in formula finding and function mining. As a basis for defining a GEP environment for SCLC and NSCLC prediction, three explicit predictive models were constructed. CEA and NSE are frequently- used lung cancer markers in clinical trials, CRP, LDH and Cyfra21-1 have significant meaning in lung cancer, basis on CEA and NSE we set up three GEP models-GEP 1(CEA, NSE, Cyfra21-1), GEP2 (CEA, NSE, LDH), GEP3 (CEA, NSE, CRP). The best classification result of GEP gained when CEA, NSE and Cyfra21-1 were combined: 128 of 135 subjects in the training set and 40 of 45 subjects in the test set were classified correctly, the accuracy rate is 94.8% in training set; on collection of samples for testing, the accuracy rate is 88.9%. With GEP2, the accuracy was significantly decreased by 1.5% and 6.6% in training set and test set, in GEP3 was 0.82% and 4.45% respectively. Serum Cyfra21-1 is a useful and sensitive serum biomarker in discriminating between NSCLC and SCLC. GEP modeling is a promising and excellent tool in diagnosis of lung cancer.

  20. The action of a dietary retinoid on gene expression and cancer induction in electron-irradiated rat skin

    Energy Technology Data Exchange (ETDEWEB)

    Burns, F.J.; Chen, S.; Xu, G.; Wu, F.; Tang, M.S. [New York Univ., NY (United States). School of Medicine

    2002-12-01

    Current models of radiation carcinogenesis generally assume that the DNA is damaged in a variety of ways by the radiation and that subsequent cell divisions contribute to the conversion of the damage to heritable mutations. Cancer may seem complex and intractable, but its complexity provides multiple opportunities for preventive interventions. Mitotic inhibitors are among the strongest cancer preventive agents, not only slowing the growth rate of preneoplasias but also increasing the fidelity of DNA repair processes. Ionizing radiation, including electrons, is a strong inducer of cancer in rat skin, and dietary retinoids have shown potent cancer preventive activity in the same system. A non-toxic dietary dose of retinyl acetate altered gene expression levels 24 hours after electron irradiation of rat skin. Of the 8740 genes on an Affymetrix rat expression array, the radiation significantly (5 fold or higher) altered 188, while the retinoid altered 231, including 16 radiation-altered genes that were reversely altered. While radiation strongly affected the expression of stress response, immune/inflammation and nucleic acid metabolism genes, the retinoid most strongly affected proliferation-related genes, including some significant reversals, such as, keratin 14, retinol binding protein, and calcium binding proteins. These results point to reversal of proliferation-relevant genes as a likely basis for the anti-radiogenic effects of dietary retinyl acetate. (author)

  1. The action of a dietary retinoid on gene expression and cancer induction in electron-irradiated rat skin

    Science.gov (United States)

    Burns, Fredric J.; Chen, Shuaili; Xu, Guijuan; Wu, Feng; Tang, Moon-Shong

    2002-01-01

    Current models of radiation carcinogenesis generally assume that the DNA is damaged in a variety of ways by the radiation and that subsequent cell divisions contribute to the conversion of the damage to heritable mutations. Cancer may seem complex and intractable, but its complexity provides multiple opportunities for preventive interventions. Mitotic inhibitors are among the strongest cancer preventive agents, not only slowing the growth rate of preneoplasias but also increasing the fidelity of DNA repair processes. Ionizing radiation, including electrons, is a strong inducer of cancer in rat skin, and dietary retinoids have shown potent cancer preventive activity in the same system. A non-toxic dietary dose of retinyl acetate altered gene expression levels 24 hours after electron irradiation of rat skin. Of the 8740 genes on an Affymetrix rat expression array, the radiation significantly (5 fold or higher) altered 188, while the retinoid altered 231, including 16 radiation-altered genes that were reversely altered. While radiation strongly affected the expression of stress response, immune/inflammation and nucleic acid metabolism genes, the retinoid most strongly affected proliferation-related genes, including some significant reversals, such as, keratin 14, retinol binding protein, and calcium binding proteins. These results point to reversal of proliferation-relevant genes as a likely basis for the anti-radiogenic effects of dietary retinyl acetate.

  2. Integration of gene dosage and gene expression in non-small cell lung cancer, identification of HSP90 as potential target.

    Directory of Open Access Journals (Sweden)

    Mariëlle I Gallegos Ruiz

    Full Text Available BACKGROUND: Lung cancer causes approximately 1.2 million deaths per year worldwide, and non-small cell lung cancer (NSCLC represents 85% of all lung cancers. Understanding the molecular events in non-small cell lung cancer (NSCLC is essential to improve early diagnosis and treatment for this disease. METHODOLOGY AND PRINCIPAL FINDINGS: In an attempt to identify novel NSCLC related genes, we performed a genome-wide screening of chromosomal copy number changes affecting gene expression using microarray based comparative genomic hybridization and gene expression arrays on 32 radically resected tumor samples from stage I and II NSCLC patients. An integrative analysis tool was applied to determine whether chromosomal copy number affects gene expression. We identified a deletion on 14q32.2-33 as a common alteration in NSCLC (44%, which significantly influenced gene expression for HSP90, residing on 14q32. This deletion was correlated with better overall survival (P = 0.008, survival was also longer in patients whose tumors had low expression levels of HSP90. We extended the analysis to three independent validation sets of NSCLC patients, and confirmed low HSP90 expression to be related with longer overall survival (P = 0.003, P = 0.07 and P = 0.04. Furthermore, in vitro treatment with an HSP90 inhibitor had potent antiproliferative activity in NSCLC cell lines. CONCLUSIONS: We suggest that targeting HSP90 will have clinical impact for NSCLC patients.

  3. Analysis of gene expression profile induced by EMP-1 in esophageal cancer cells using cDNA Microarray

    Institute of Scientific and Technical Information of China (English)

    Hai-Tao Wang; Jian-Ping Kong; Fang Ding; Xiu-Qin Wang; Ming-Rong Wang; Lian-Xin Liu; Min Wu; Zhi-Hua Liu

    2003-01-01

    AIM: To obtain human esophageal cancer cell EC9706 stably expressed epithelial membrane protein-1 (EMP-1) with integrated eukaryotic plasmid harboring the open reading frame (ORF) of human EMP-1, and then to study the mechanism by which EMP-1 exerts its diverse cellular action on cell proliferation and altered gene profile by exploring the effect of EMP-1.METHODS: The authors first constructed pcDNA3.1/mychis expression vector harboring the ORF of EMP-1 and then transfected it into human esophageal carcinoma cell line EC9706. The positive clones were analyzed by Western blot and RT-PCR. Moreover, the cell growth curve was observed and the cell cycle was checked by FACS technique. Using cDNA microarray technology, the authors compared the gene expression pattern in positive clones with control. To confirm the gene expression profile, semi-quantitative RT-PCR was carried out for 4 of the randomly picked differentially expressed genes. For those differentially expressed genes,classification was performed according to their function and cellular component.RESULTS: Human EMP-1 gene can be stably expressed in ECg706 cell line transfected with human EMP-1. The authors found the cell growth decreased, among which S phase was arrested and G1 phase was prolonged in the transfected positive clones. By cDNA microarray analysis, 35 genes showed an over 2.0 fold change in expression level after transfection, with 28 genes being consistently up-regulated and 7 genes being down-regulated. Among the classified genes, almost half of the induced genes (13 out of 28 genes) were related to cell signaling, cell communication and particularly to adhesion.CONCLUSION: Overexpression of human EMP-1 gene can inhibit the proliferation of EC9706 cell with S phase arrested and G1 phase prolonged. The cDNA microarray analysis suggested that EMP-1 may be one of regulators involved incell signaling, cell communication and adhesion regulators.

  4. Functional Cross-Talking between Differentially Expressed and Alternatively Spliced Genes in Human Liver Cancer Cells Treated with Berberine.

    Directory of Open Access Journals (Sweden)

    Zhen Sheng

    Full Text Available Berberine has been identified with anti-proliferative effects on various cancer cells. Many researchers have been trying to elucidate the anti-cancer mechanisms of berberine based on differentially expressed genes. However, differentially alternative splicing genes induced by berberine might also contribute to its pharmacological actions and have not been reported yet. Moreover, the potential functional cross-talking between the two sets of genes deserves further exploration. In this study, RNA-seq technology was used to detect the differentially expressed genes and differentially alternative spliced genes in BEL-7402 cancer cells induced by berberine. Functional enrichment analysis indicated that these genes were mainly enriched in the p53 and cell cycle signalling pathway. In addition, it was statistically proven that the two sets of genes were locally co-enriched along chromosomes, closely connected to each other based on protein-protein interaction and functionally similar on Gene Ontology tree. These results suggested that the two sets of genes regulated by berberine might be functionally cross-talked and jointly contribute to its cell cycle arresting effect. It has provided new clues for further researches on the pharmacological mechanisms of berberine as well as the other botanical drugs.

  5. Functional Cross-Talking between Differentially Expressed and Alternatively Spliced Genes in Human Liver Cancer Cells Treated with Berberine.

    Science.gov (United States)

    Sheng, Zhen; Sun, Yi; Zhu, Ruixin; Jiao, Na; Tang, Kailin; Cao, Zhiwei; Ma, Chao

    2015-01-01

    Berberine has been identified with anti-proliferative effects on various cancer cells. Many researchers have been trying to elucidate the anti-cancer mechanisms of berberine based on differentially expressed genes. However, differentially alternative splicing genes induced by berberine might also contribute to its pharmacological actions and have not been reported yet. Moreover, the potential functional cross-talking between the two sets of genes deserves further exploration. In this study, RNA-seq technology was used to detect the differentially expressed genes and differentially alternative spliced genes in BEL-7402 cancer cells induced by berberine. Functional enrichment analysis indicated that these genes were mainly enriched in the p53 and cell cycle signalling pathway. In addition, it was statistically proven that the two sets of genes were locally co-enriched along chromosomes, closely connected to each other based on protein-protein interaction and functionally similar on Gene Ontology tree. These results suggested that the two sets of genes regulated by berberine might be functionally cross-talked and jointly contribute to its cell cycle arresting effect. It has provided new clues for further researches on the pharmacological mechanisms of berberine as well as the other botanical drugs.

  6. EFFECTS OF p53 GENE THERAPY COMBINED WITH CYCLOOXYGENASE-2 INHIBITOR ON CYCLOOXYGENASE-2 GENE EXPRESSION AND GROWTH INHIBITION OF HUMAN LUNG CANCER CELLS

    Institute of Scientific and Technical Information of China (English)

    WANG Zhao-Xia; LU Bin-Bin; WANG Teng; YIN Yong-Mei; DE Wei; SHU Yong-Qian

    2007-01-01

    Background Gene therapy by adenovirus-mediated wild-type p53 gene transfer has been shown to inhibit lung cancer growth in vitro, in animal models, and in human clinical trials. The antitumor effect of selective cyclooxygenase (COX)-2 inhibitors has been demonstrated in preclinical studies. However, no information is available on the effects of p53 gene therapy combined with selective COX-2 inhibitor on COX-2 gene expression and growth inhibition of human lung cancer cells. Methods We evaluated the effects of recombinant adenovirus-p53 (Ad-p53) gene therapy combined with selective COX-2 inhibitor on the proliferation, apoptosis, cell cycle arrest of human lung adenocarcinoma A549 cell line, and the effects of tumor suppressor exogenous wild type p53 on COX-2 gene expression. Results Ad-p53 gene therapy combined with selective COX-2 inhibitor celecoxib shows significant synergistic inhibition effects on the growth of human lung adenocarcinoma A549 cell line. Exogenous p53 gene can suppress COX-2 gene expression. Conclusions Significant synergistic inhibition effects of A549 cell line by the combined Ad-p53 and selective COX-2 inhibitor celecoxib may be achieved by enhancement of growth inhibition, apoptosis induction and suppression of COX-2 gene expression. This study provides first evidence that the administration of p53 gene therapy in combination with COX-2 inhibitors might be a new clinical strategy for the treatment or prevention of NSCLC.

  7. The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations

    Directory of Open Access Journals (Sweden)

    Parmigiani Giovanni

    2009-08-01

    Full Text Available Abstract Background A major challenge in computational biology is to extract knowledge about the genetic nature of disease from high-throughput data. However, an important obstacle to both biological understanding and clinical applications is the "black box" nature of the decision rules provided by most machine learning approaches, which usually involve many genes combined in a highly complex fashion. Achieving biologically relevant results argues for a different strategy. A promising alternative is to base prediction entirely upon the relative expression ordering of a small number of genes. Results We present a three-gene version of "relative expression analysis" (RXA, a rigorous and systematic comparison with earlier approaches in a variety of cancer studies, a clinically relevant application to predicting germline BRCA1 mutations in breast cancer and a cross-study validation for predicting ER status. In the BRCA1 study, RXA yields high accuracy with a simple decision rule: in tumors carrying mutations, the expression of a "reference gene" falls between the expression of two differentially expressed genes, PPP1CB and RNF14. An analysis of the protein-protein interactions among the triplet of genes and BRCA1 suggests that the classifier has a biological foundation. Conclusion RXA has the potential to identify genomic "marker interactions" with plausible biological interpretation and direct clinical applicability. It provides a general framework for understanding the roles of the genes involved in decision rules, as illustrated for the difficult and clinically relevant problem of identifying BRCA1 mutation carriers.

  8. Decreased expression of the ARID1A gene is associated with poor prognosis in primary gastric cancer.

    Directory of Open Access Journals (Sweden)

    Dan-dan Wang

    Full Text Available BACKGROUND: The ARID1A gene encodes adenine-thymine (AT-rich interactive domain-containing protein 1A, which participates in chromatin remodeling. ARID1A has been showed to function as a tumor suppressor in various cancer types. In the current study, we investigated the expression and prognosis value of ARID1A in primary gastric cancer. Meanwhile, the biological role of ARID1A was further investigated using cell model in vitro. METHODOLOGY/PRINCIPAL FINDINGS: To investigate the role of ARID1A gene in primary gastric cancer pathogenesis, real-time quantitative PCR and western blotting were used to examine the ARID1A expression in paired cancerous and noncancerous tissues. Results revealed decreased ARID1A mRNA (P = 0.0029 and protein (P = 0.0015 expression in most tumor-bearing tissues compared with the matched adjacent non-tumor tissues, and in gastric cancer cell lines. To further investigate the clinicopathological and prognostic roles of ARID1A expression, we performed immunohistochemical analyses of the 224 paraffin-embedded gastric cancer tissue blocks. Data revealed that the loss of ARID1A expression was significantly correlated with T stage (P = 0.001 and grade (P = 0.006. Consistent with these results, we found that loss of ARID1A expression was significantly correlated with poor survival in gastric cancer patients (P = 0.003. Cox regression analyses showed that ARID1A expression was an independent predictor of overall survival (P = 0.029. Furthermore, the functions of ARID1A in the proliferation and colony formation of gastric cell lines were analyzed by transfecting cells with full-length ARID1A expression vector or siRNA targeting ARID1A. Restoring ARID1A expression in gastric cancer cells significantly inhibited cell proliferation and colony formation. Silencing ARID1A expression in gastric epithelial cell line significantly enhanced cell growth rate. CONCLUSIONS/SIGNIFICANCE: Our data suggest that ARID1A may play an important role

  9. Hormone-replacement therapy influences gene expression profiles and is associated with breast-cancer prognosis: a cohort study

    Directory of Open Access Journals (Sweden)

    Skoog Lambert

    2006-06-01

    Full Text Available Abstract Background Postmenopausal hormone-replacement therapy (HRT increases breast-cancer risk. The influence of HRT on the biology of the primary tumor, however, is not well understood. Methods We obtained breast-cancer gene expression profiles using Affymetrix human genome U133A arrays. We examined the relationship between HRT-regulated gene profiles, tumor characteristics, and recurrence-free survival in 72 postmenopausal women. Results HRT use in patients with estrogen receptor (ER protein positive tumors (n = 72 was associated with an altered regulation of 276 genes. Expression profiles based on these genes clustered ER-positive tumors into two molecular subclasses, one of which was associated with HRT use and had significantly better recurrence free survival despite lower ER levels. A comparison with external data suggested that gene regulation in tumors associated with HRT was negatively correlated with gene regulation induced by short-term estrogen exposure, but positively correlated with the effect of tamoxifen. Conclusion Our findings suggest that post-menopausal HRT use is associated with a distinct gene expression profile related to better recurrence-free survival and lower ER protein levels. Tentatively, HRT-associated gene expression in tumors resembles the effect of tamoxifen exposure on MCF-7 cells.

  10. Regulatory mechanisms for abnormal expression of the human breast cancer specific gene 1 in breast cancer cells

    Institute of Scientific and Technical Information of China (English)

    LU; Aiping; LI; Qing; LIU; Jingwen

    2006-01-01

    Breast cancer-specific gene 1 (BCSG1), also referred as synuclein γ, was originally isolated from a human breast cancer cDNA library and the protein is mainly localized to presynaptic terminals in the nervous system. BCSG1 is not expressed in normal or benign breast lesions, but expressed at an extremely high level in the vast majority of the advanced staged breast carcinomas and ovarian carcinomas. Overexpression of BCSG1 in cancer cells led to significant increase in cell proliferation, motility and invasiveness, and metastasis. To elucidate the molecular mechanism and regulation for abnormal transcription of BCSG1, a variety of BCSG1 promoter luciferase reporters were constructed including 3' end deleted sequences, Sp1 deleted, and activator protein-1 (AP1) domains mutated. Transient transfection assay was used to detect the transcriptional activation of BCSG1 promoters. Results showed that the Sp1 sequence in 5'-flanking region was involved in the basal transcriptional activities of BCSG1 without cell-type specificity. In comparison to pGL3-1249, the reporter activities of pGL3-1553 in BCSG1-negative MCF-7 cells and pGL3-1759 in HepG2 cells were notably decreased. Mutations at AP1 sites in BCSG1 intron 1 significantly reduced the promoter activity in all cell lines. Transcription factors, c-jun, c-fos and cyclin AMP-responsive element binding (CREB) protein, could markedly enhance the promoter activities. Thus, our results suggest that the abnormal expression of BCSG1 in breast cancer cells is likely regulated by multiple mechanisms. The 5' flanking region of BCSG1 provides the basal transcriptional activity without cell type specificity. A critical promoter element involved in abnormal expression of BCSG1 presents in the first exon. The cell type specificity of BCSG1 transcription is probably affected through intronic cis-regulatory sequences. AP1 domains in the first intron play an important role in control of BCSG1 transcription.

  11. Matrix Metalloproteinases: The Gene Expression Signatures of Head and Neck Cancer Progression

    Energy Technology Data Exchange (ETDEWEB)

    Iizuka, Shinji [Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037 (United States); Ishimaru, Naozumi; Kudo, Yasusei, E-mail: yasusei@tokushima-u.ac.jp [Department of Oral Molecular Pathology, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-8-15 Kuramoto, Tokushima 770-8504 (Japan)

    2014-02-13

    Extracellular matrix degradation by matrix metalloproteinases (MMPs) plays a pivotal role in cancer progression by promoting motility, invasion and angiogenesis. Studies have shown that MMP expression is increased in head and neck squamous cell carcinomas (HNSCCs), one of the most common cancers in the world, and contributes to poor outcome. In this review, we examine the expression pattern of MMPs in HNSCC by microarray datasets and summarize the current knowledge of MMPs, specifically MMP-1, -3, -7 -10, -12, -13, 14 and -19, that are highly expressed in HNSCCs and involved cancer invasion and angiogenesis.

  12. Comprehensive gene and microRNA expression profiling reveals miR-206 inhibits MET in lung cancer metastasis.

    Science.gov (United States)

    Chen, Qing-yong; Jiao, De-min; Yan, Li; Wu, Yu-quan; Hu, Hui-zhen; Song, Jia; Yan, Jie; Wu, Li-jun; Xu, Li-qun; Shi, Jian-guo

    2015-08-01

    MiRNAs associated with the metastasis of lung cancer remain largely unexplored. In this study, gene and miRNA expression profiling were performed to analyze the global expression of mRNAs and miRNAs in human high- and low-metastatic lung cancer cell strains. By developing an integrated bioinformatics analysis, six miRNAs (miR-424-3p, miR-450b-5p, miR-335-5p, miR-34a-5p, miR-302b-3p and miR-206) showed higher target gene degrees in the miRNA-gene network and might be potential metastasis-related miRNAs. Using the qRT-PCR method, the six miRNAs were further confirmed to show a significant expression difference between human lung cancer and normal tissue samples. Since miR-206 showed lower expression both in lung cancer tissues and cell lines, it was used as an example for further functional verification. The wound healing assay and transwell invasion assay showed that miR-206 mimics significantly inhibited the cell migration and invasion of the high-metastatic lung cancer 95D cell strain. One of its predicted targets in our miRNA-gene network, MET, was also obviously decreased at the protein level when miR-206 was overexpressed. Instead, miR-206 inhibitors increased MET protein expression, cell migration and invasion of the low-metastatic lung cancer 95C cell strain. Meanwhile, the luciferase assay showed that MET was a direct target of miR-206. Furthermore, MET gene silence showed a similar anti-migration and anti-invasion effect with miR-206 mimics in 95D cells and could partially attenuate the migration- and invasion-promoting effect of miR-206 inhibitors in 95C cells, suggesting that miR-206 targets MET in lung cancer metastasis. Finally, we also demonstrated that miR-206 can significantly inhibit lung cancer proliferation and metastasis in mouse models. In conclusion, our study provided a miRNA-gene regulatory network in lung cancer metastasis and further demonstrated the roles of miR-206 and MET in this process, which enhances the understanding of the

  13. Prediction of Metastasis and Recurrence in Colorectal Cancer Based on Gene Expression Analysis: Ready for the Clinic?

    Energy Technology Data Exchange (ETDEWEB)

    Shibayama, Masaki [Sysmex Corporation, Central Research Laboratories, Kobe 651-2271 (Japan); Maak, Matthias; Nitsche, Ulrich [Chirurgische Klinik, Klinikum Rechts der Isar der TUM, München 81657 (Germany); Gotoh, Kengo [Sysmex Corporation, Central Research Laboratories, Kobe 651-2271 (Japan); Rosenberg, Robert; Janssen, Klaus-Peter, E-mail: klaus-peter.janssen@lrz.tum.de [Chirurgische Klinik, Klinikum Rechts der Isar der TUM, München 81657 (Germany)

    2011-07-07

    Cancers of the colon and rectum, which rank among the most frequent human tumors, are currently treated by surgical resection in locally restricted tumor stages. However, disease recurrence and formation of local and distant metastasis frequently occur even in cases with successful curative resection of the primary tumor (R0). Recent technological advances in molecular diagnostic analysis have led to a wealth of knowledge about the changes in gene transcription in all stages of colorectal tumors. Differential gene expression, or transcriptome analysis, has been proposed by many groups to predict disease recurrence, clinical outcome, and also response to therapy, in addition to the well-established clinico-pathological factors. However, the clinical usability of gene expression profiling as a reliable and robust prognostic tool that allows evidence-based clinical decisions is currently under debate. In this review, we will discuss the most recent data on the prognostic significance and potential clinical application of genome wide expression analysis in colorectal cancer.

  14. LAPTM4B Gene Expression And Polymorphism As Diagnostic Markers Of Breast Cancer In Egyptian Patients

    Directory of Open Access Journals (Sweden)

    Shaker Olfat

    2015-10-01

    Full Text Available Background: The aim of this study was to investigate the association between LAPTM4B gene polymorphism and the risk of breast cancer among Egyptian female patients. Also, measurement was done of its serum level to evaluate its significance as a diagnostic marker for breast cancer.

  15. The dietary isothiocyanate sulforaphane modulates gene expression and alternative gene splicing in a PTEN null preclinical murine model of prostate cancer

    Directory of Open Access Journals (Sweden)

    Ball Richard Y

    2010-07-01

    Full Text Available Abstract Background Dietary or therapeutic interventions to counteract the loss of PTEN expression could contribute to the prevention of prostate carcinogenesis or reduce the rate of cancer progression. In this study, we investigate the interaction between sulforaphane, a dietary isothiocyanate derived from broccoli, PTEN expression and gene expression in pre malignant prostate tissue. Results We initially describe heterogeneity in expression of PTEN in non-malignant prostate tissue of men deemed to be at risk of prostate cancer. We subsequently use the mouse prostate-specific PTEN deletion model, to show that sulforaphane suppresses transcriptional changes induced by PTEN deletion and induces additional changes in gene expression associated with cell cycle arrest and apoptosis in PTEN null tissue, but has no effect on transcription in wild type tissue. Comparative analyses of changes in gene expression in mouse and human prostate tissue indicate that similar changes can be induced in humans with a broccoli-rich diet. Global analyses of exon expression demonstrated that sulforaphane interacts with PTEN deletion to modulate alternative gene splicing, illustrated through a more detailed analysis of DMBT1 splicing. Conclusion To our knowledge, this is the first report of how diet may perturb changes in transcription induced by PTEN deletion, and the effects of diet on global patterns of alternative gene splicing. The study exemplifies the complex interaction between diet, genotype and gene expression, and the multiple modes of action of small bioactive dietary components.

  16. Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review

    CERN Document Server

    Lahti, Leo; Klein, Hans-Ulrich; Bicciato, Silvio; Dugas, Martin

    2011-01-01

    A variety of genome-wide profiling techniques are available to probe complementary aspects of genome structure and function. Integrative analysis of heterogeneous data sources can reveal higher-level interactions that cannot be detected based on individual observations. A standard integration task in cancer studies is to identify altered genomic regions that induce changes in the expression of the associated genes based on joint analysis of genome-wide gene expression and copy number profiling measurements. In this review, we provide a comparison among various modeling procedures for integrating genome-wide profiling data of gene copy number and transcriptional alterations and highlight common approaches to genomic data integration. A transparent benchmarking procedure is introduced to quantitatively compare the cancer gene prioritization performance of the alternative methods. The benchmarking algorithms and data sets are available at http://intcomp.r-forge.r-project.org

  17. Genome-wide analysis in human colorectal cancer cells reveals ischemia-mediated expression of motility genes via DNA hypomethylation.

    Science.gov (United States)

    Skowronski, Karolina; Skowronki, Karolina; Andrews, Joseph; Rodenhiser, David I; Coomber, Brenda L

    2014-01-01

    DNA hypomethylation is an important epigenetic modification found to occur in many different cancer types, leading to the upregulation of previously silenced genes and loss of genomic stability. We previously demonstrated that hypoxia and hypoglycaemia (ischemia), two common micro-environmental changes in solid tumours, decrease DNA methylation through the downregulation of DNMTs in human colorectal cancer cells. Here, we utilized a genome-wide cross-platform approach to identify genes hypomethylated and upregulated by ischemia. Following exposure to hypoxia or hypoglycaemia, methylated DNA from human colorectal cancer cells (HCT116) was immunoprecipitated and analysed with an Affymetrix promoter array. Additionally, RNA was isolated and analysed in parallel with an Affymetrix expression array. Ingenuity pathway analysis software revealed that a significant proportion of the genes hypomethylated and upregulated were involved in cellular movement, including PLAUR and CYR61. A Matrigel invasion assay revealed that indeed HCT116 cells grown in hypoxic or hypoglycaemic conditions have increased mobility capabilities. Confirmation of upregulated expression of cellular movement genes was performed with qPCR. The correlation between ischemia and metastasis is well established in cancer progression, but the molecular mechanisms responsible for this common observation have not been clearly identified. Our novel data suggests that hypoxia and hypoglycaemia may be driving changes in DNA methylation through downregulation of DNMTs. This is the first report to our knowledge that provides an explanation for the increased metastatic potential seen in ischemic cells; i.e. that ischemia could be driving DNA hypomethylation and increasing expression of cellular movement genes.

  18. Gene expression markers in circulating tumor cells may predict bone metastasis and response to hormonal treatment in breast cancer.

    Science.gov (United States)

    Wang, Haiying; Molina, Julian; Jiang, John; Ferber, Matthew; Pruthi, Sandhya; Jatkoe, Timothy; Derecho, Carlo; Rajpurohit, Yashoda; Zheng, Jian; Wang, Yixin

    2013-11-01

    Circulating tumor cells (CTCs) have recently attracted attention due to their potential as prognostic and predictive markers for the clinical management of metastatic breast cancer patients. The isolation of CTCs from patients may enable the molecular characterization of these cells, which may help establish a minimally invasive assay for the prediction of metastasis and further optimization of treatment. Molecular markers of proven clinical value may therefore be useful in predicting disease aggressiveness and response to treatment. In our earlier study, we identified a gene signature in breast cancer that appears to be significantly associated with bone metastasis. Among the genes that constitute this signature, trefoil factor 1 (TFF1) was identified as the most differentially expressed gene associated with bone metastasis. In this study, we investigated 25 candidate gene markers in the CTCs of metastatic breast cancer patients with different metastatic sites. The panel of the 25 markers was investigated in 80 baseline samples (first blood draw of CTCs) and 30 follow-up samples. In addition, 40 healthy blood donors (HBDs) were analyzed as controls. The assay was performed using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) with RNA extracted from CTCs captured by the CellSearch system. Our study indicated that 12 of the genes were uniquely expressed in CTCs and 10 were highly expressed in the CTCs obtained from patients compared to those obtained from HBDs. Among these genes, the expression of keratin 19 was highly correlated with the CTC count. The TFF1 expression in CTCs was a strong predictor of bone metastasis and the patients with a high expression of estrogen receptor β in CTCs exhibited a better response to hormonal treatment. Molecular characterization of these genes in CTCs may provide a better understanding of the mechanism underlying tumor metastasis and identify gene markers in CTCs for predicting disease progression and

  19. Analysis of gene expression using gene sets discriminates cancer patients with and without late radiation toxicity

    NARCIS (Netherlands)

    J.P. Svensson; L.J.A. Stalpers; R.E.E. Esveldt-van Lange; N.A.P. Franken; J. Haveman; B. Klein; I. Turesson; H. Vrieling; M. Giphart-Gassler

    2006-01-01

    Background Radiation is an effective anti-cancer therapy but leads to severe late radiation toxicity in 5%-10% of patients. Assuming that genetic susceptibility impacts this risk, we hypothesized that the cellular response of normal tissue to X-rays could discriminate patients with and without late

  20. U94 alters FN1 and ANGPTL4 gene expression and inhibits tumorigenesis of prostate cancer cell line PC3

    Directory of Open Access Journals (Sweden)

    Chan Wai-Yee

    2005-06-01

    Full Text Available Abstract Background Insensitivity of advanced-stage prostate cancer to androgen ablation therapy is a serious problem in clinical practice because it is associated with aggressive progression and poor prognosis. Targeted therapeutic drug discovery efforts are thwarted by lack of adequate knowledge of gene(s associated with prostate tumorigenesis. Therefore there is the need for studies to provide leads to targeted intervention measures. Here we propose that stable expression of U94, a tumor suppressor gene encoded by human herpesvirus 6A (HHV-6A, could alter gene expression and thereby inhibit the tumorigenicity of PC3 cell line. Microarray gene expression profiling on U94 recombinant PC3 cell line could reveal genes that would elucidate prostate cancer biology, and hopefully identify potential therapeutic targets. Results We have shown that stable expression of U94 gene in PC3 cell line inhibited its focus formation in culture, and tumorigenesis in nude mice. Moreover gene expression profiling revealed dramatic upregulation of FN 1 (fibronectin, 91 ± 16-fold, and profound downregulation of ANGPTL 4 (angiopoietin-like-4, 20 ± 4-fold in U94 recombinant PC3 cell line. Quantitative real-time polymerase chain reaction (QRT-PCR analysis showed that the pattern of expression of FN 1 and ANGPTL 4 mRNA were consistent with the microarray data. Based on previous reports, the findings in this study implicate upregulation of FN 1 and downregulation of ANGPTL 4 in the anti tumor activity of U94. Genes with cancer inhibitory activities that were also upregulated include SERPINE 2 (serine/cysteine protease inhibitor 2, 7 ± 1-fold increase and ADAMTS 1 (a disintegrin-like and metalloprotease with thrombospondin type 1 motif, 7 ± 2-fold increase. Additionally, SPUVE 23 (serine protease 23 that is pro-tumorigenic was significantly downregulated (10 ± 1-fold. Conclusion The dramatic upregulation of FN 1 and downregulation of ANGPTL 4 genes in PC3 cell line

  1. The effects of MicroRNA transfections on global patterns of gene expression in ovarian cancer cells are functionally coordinated

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    Shahab Shubin W

    2012-08-01

    Full Text Available Abstract Background MicroRNAs (miRNAs are a class of small RNAs that have been linked to a number of diseases including cancer. The potential application of miRNAs in the diagnostics and therapeutics of ovarian and other cancers is an area of intense interest. A current challenge is the inability to accurately predict the functional consequences of exogenous modulations in the levels of potentially therapeutic miRNAs. Methods In an initial effort to systematically address this issue, we conducted miRNA transfection experiments using two miRNAs (miR-7, miR-128. We monitored the consequent changes in global patterns of gene expression by microarray and quantitative (real-time polymerase chain reaction. Network analysis of the expression data was used to predict the consequence of each transfection on cellular function and these predictions were experimentally tested. Results While ~20% of the changes in expression patterns of hundreds to thousands of genes could be attributed to direct miRNA-mRNA interactions, the majority of the changes are indirect, involving the downstream consequences of miRNA-mediated changes in regulatory gene expression. The changes in gene expression induced by individual miRNAs are functionally coordinated but distinct between the two miRNAs. MiR-7 transfection into ovarian cancer cells induces changes in cell adhesion and other developmental networks previously associated with epithelial-mesenchymal transitions (EMT and other processes linked with metastasis. In contrast, miR-128 transfection induces changes in cell cycle control and other processes commonly linked with cellular replication. Conclusions The functionally coordinated patterns of gene expression displayed by different families of miRNAs have the potential to provide clinicians with a strategy to treat cancers from a systems rather than a single gene perspective.

  2. Fatty acid esters of phloridzin induce apoptosis of human liver cancer cells through altered gene expression.

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    Sandhya V G Nair

    Full Text Available Phloridzin (phlorizin or phloretin 2'-O-glucoside is known for blocking intestinal glucose absorption. We have investigated the anticarcinogenic effect of phloridzin and its novel derivatives using human cancer cell lines. We have synthesised novel acylated derivatives of phloridzin with six different long chain fatty acids by regioselective enzymatic acylation using Candida Antarctica lipase B. The antiproliferative effects of the new compounds were investigated in comparison with the parent compounds, phloridzin, aglycone phloretin, the six free fatty acids and chemotherapeutic drugs (sorafenib, doxorubicin and daunorubicin using human hepatocellular carcinoma HepG2 cells, human breast adenocarcinoma MDA-MB-231 cells and acute monocytic leukemia THP-1 cells along with normal human and rat hepatocytes. The fatty acid esters of phloridzin inhibited significantly the growth of the two carcinoma and leukemia cells while similar treatment doses were not toxic to normal human or rat hepatocytes. The antiproliferative potency of fatty esters of phloridzin was comparable to the potency of the chemotherapeutic drugs. The fatty acid esters of phloridzin inhibited DNA topoisomerases IIα activity that might induce G0/G1 phase arrest, induced apoptosis via activation of caspase-3, and decreased ATP level and mitochondrial membrane potential in HepG2 cells. Based on the high selectivity on cancer cells, decosahexaenoic acid (DHA ester of phloridzin was selected for gene expression analysis using RT2PCR human cancer drug target array. Antiproliferative effect of DHA ester of phloridzin could be related to the down regulation of anti-apoptotic gene (BCL2, growth factor receptors (EBFR family, IGF1R/IGF2, PDGFR and its downstream signalling partners (PI3k/AKT/mTOR, Ras/Raf/MAPK, cell cycle machinery (CDKs, TERT, TOP2A, TOP2B as well as epigenetics regulators (HDACs. These results suggest that fatty esters of phloridzin have potential chemotherapeutic effects

  3. Different Effects of BORIS/CTCFL on Stemness Gene Expression, Sphere Formation and Cell Survival in Epithelial Cancer Stem Cells.

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    Loredana Alberti

    Full Text Available Cancer stem cells are cancer cells characterized by stem cell properties and represent a small population of tumor cells that drives tumor development, progression, metastasis and drug resistance. To date, the molecular mechanisms that generate and regulate cancer stem cells are not well defined. BORIS (Brother of Regulator of Imprinted Sites or CTCFL (CTCF-like is a DNA-binding protein that is expressed in normal tissues only in germ cells and is re-activated in tumors. Recent evidences have highlighted the correlation of BORIS/CTCFL expression with poor overall survival of different cancer patients. We have previously shown an association of BORIS-expressing cells with stemness gene expression in embryonic cancer cells. Here, we studied the role of BORIS in epithelial tumor cells. Using BORIS-molecular beacon that was already validated, we were able to show the presence of BORIS mRNA in cancer stem cell-enriched populations (side population and spheres of cervical, colon and breast tumor cells. BORIS silencing studies showed a decrease of sphere formation capacity in breast and colon tumor cells. Importantly, BORIS-silencing led to down-regulation of hTERT, stem cell (NANOG, OCT4, SOX2 and BMI1 and cancer stem cell markers (ABCG2, CD44 and ALDH1 genes. Conversely, BORIS-induction led to up-regulation of the same genes. These phenotypes were observed in cervical, colon and invasive breast tumor cells. However, a completely different behavior was observed in the non-invasive breast tumor cells (MCF7. Indeed, these cells acquired an epithelial mesenchymal transition phenotype after BORIS silencing. Our results demonstrate that BORIS is associated with cancer stem cell-enriched populations of several epithelial tumor cells and the different phenotypes depend on the origin of tumor cells.

  4. bc-GenExMiner 3.0: new mining module computes breast cancer gene expression correlation analyses.

    Science.gov (United States)

    Jézéquel, Pascal; Frénel, Jean-Sébastien; Campion, Loïc; Guérin-Charbonnel, Catherine; Gouraud, Wilfried; Ricolleau, Gabriel; Campone, Mario

    2013-01-01

    We recently developed a user-friendly web-based application called bc-GenExMiner (http://bcgenex.centregauducheau.fr), which offered the possibility to evaluate prognostic informativity of genes in breast cancer by means of a 'prognostic module'. In this study, we develop a new module called 'correlation module', which includes three kinds of gene expression correlation analyses. The first one computes correlation coefficient between 2 or more (up to 10) chosen genes. The second one produces two lists of genes that are most correlated (positively and negatively) to a 'tested' gene. A gene ontology (GO) mining function is also proposed to explore GO 'biological process', 'molecular function' and 'cellular component' terms enrichment for the output lists of most correlated genes. The third one explores gene expression correlation between the 15 telomeric and 15 centromeric genes surrounding a 'tested' gene. These correlation analyses can be performed in different groups of patients: all patients (without any subtyping), in molecular subtypes (basal-like, HER2+, luminal A and luminal B) and according to oestrogen receptor status. Validation tests based on published data showed that these automatized analyses lead to results consistent with studies' conclusions. In brief, this new module has been developed to help basic researchers explore molecular mechanisms of breast cancer. DATABASE URL: http://bcgenex.centregauducheau.fr

  5. Gene co-expression analyses differentiate networks associated with diverse cancers harbouring TP53 missense or null mutations

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    Kathleen Oros Klein

    2016-08-01

    Full Text Available In a variety of solid cancers, missense mutations in the well-established TP53 tumour suppressor gene may lead to presence of a partially-functioning protein molecule, whereas mutations affecting the protein encoding reading frame, often referred to as null mutations, result in the absence of p53 protein. Both types of mutations have been observed in the same cancer type. As the resulting tumour biology may be quite different between these two groups, we used RNA-sequencing data from The Cancer Genome Atlas (TCGA from four different cancers with poor prognosis, namely ovarian, breast, lung and skin cancers, to compare the patterns of co-expression of genes in tumours grouped according to their TP53 missense or null mutation status. We used Weighted Gene Coexpression Network analysis (WGCNA and a new test statistic built on differences between groups in the measures of gene connectivity. For each cancer, our analysis identified a set of genes showing differential coexpression patterns between the TP53 missense- and null mutation-carrying groups that was robust to the choice of the tuning parameter in WGCNA. After comparing these sets of genes across the four cancers, one gene (KIR3DL2 consistently showed differential coexpression patterns between the null and missense groups. KIR3DL2 is known to play an important role in regulating the immune response, which is consistent with our observation that this gene’s strongly-correlated partners implicated many immune-related pathways. Examining mutation-type-related changes in correlations between sets of genes may provide new insight into tumour biology.

  6. Correlating chemical sensitivity and basal gene expression reveals mechanism of action | Office of Cancer Genomics

    Science.gov (United States)

    Changes in cellular gene expression in response to small-molecule or genetic perturbations have yielded signatures that can connect unknown mechanisms of action (MoA) to ones previously established. We hypothesized that differential basal gene expression could be correlated with patterns of small-molecule sensitivity across many cell lines to illuminate the actions of compounds whose MoA are unknown.

  7. A Double Selection Approach to Achieve Specific Expression of Toxin Genes for Ovarian Cancer Gene Therapy

    Science.gov (United States)

    2005-11-01

    therapy vectors. .. OE +04 I.OE+02 ri . OE +03t 0E+0)1 .0E+02 Discussion I) 100 100) I I 100 xp/cell %,p/ccll A major obstacle to be overcome in Ad5-based can...4,11,20]. Thus, Ad gene ther- 1. OE +03 i.E+04, apy vectors with CAR-independent and/or expanded I 01-+2 I.OE+03 tropism may prove valuable for maximal...Tsurutaa, Seiji Yamamotoa, Yosuke Kawakami’, Joanne T. Douglas" b, Kenzaburo Tanid , David T. Curiel,’b and Joel N. Glasgowa* a Division of Human Gene

  8. Insulin-induced gene 2 expression correlates with colorectal cancer metastasis and disease outcome.

    Science.gov (United States)

    Sun, Shengjie; Zhang, Guoqing; Sun, Qiong; Wu, Zhiyong; Shi, Weiwei; Yang, Bo; Li, Ying

    2016-01-01

    Colorectal cancer (CRC) is one of the most common cancers worldwide accounting for ∼9% of cancer-related deaths, 90% of which are due to metastasis resulting from resistance to chemotherapeutic agents. Hence, it is imperative to develop novel biomarkers of CRC. Insulin-induced gene 2 (INSIG2) has been previously reported to be a negative regulator of cholesterol synthesis and was recently identified as a putative-positive prognostic biomarker for colon and pancreatic cancer prognosis. Even though it has been suggested as a colon cancer biomarker and as an inhibitor of Bax-mediated apoptosis, the role of INSIG2 in CRC is elusive. We initially validated that INSIG2 is a gene with univariate-negative prognostic capacity to discriminate human colon cancer survivorship and that if present along with adenomatous polyposis coli (APC) gene mutations further decrease overall survival. Gain- and loss-of-function studies of INSIG2 showed that the gene product is responsible for inducing migration and invasion and maintenance of the mesenchymal phenotype in vitro and metastasis in vivo. Interestingly, loss of INSIG2 did not affect tumorigenic potential per se, but affected hepatic invasion in a xenograft assay. Our findings reinforce that INSIG2 is a novel colon cancer biomarker, and suggest, for the first time, an exclusive connection between INSIG2 and metastatic dissemination without any effect on tumorigenesis. © 2015 IUBMB Life, 68(1):65-71, 2016.

  9. Global gene expression profiles of canine macrophages and canine mammary cancer cells grown as a co-culture in vitro

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    Król Magdalena

    2012-02-01

    Full Text Available Abstract Background Solid tumours comprise various cells, including cancer cells, resident stromal cells, migratory haemopoietic cells and other. These cells regulate tumour growth and metastasis. Macrophages constitute probably the most important element of all interactions within the tumour microenvironment. However, the molecular mechanism, that guides tumour environment, still remains unknown. Exploring the underlying molecular mechanisms that orchestrate these phenomena has been the aim of our study. A co-culture of canine mammary cancer cells and macrophages was established and maintained for 72 hrs. Having sorted the cells, gene expression in cancer cells and macrophages, using DNA microarrays, was examined. The results were confirmed using real-time qPCR and confocal microscopy. Moreover, their ability for migration and invasion has been assessed. Results Microarray analysis showed that the up-regulated genes in the cancer cell lines are involved in 15 highly over-manifested pathways. The pathways that drew our diligent attention included: the inflammation pathway mediated by chemokine and cytokine, the Toll receptor signalling pathway and the B cell activation. The up-regulated genes in the macrophages were involved in only 18 significantly over-manifested pathways: the angiogenesis, the p53 pathway feedback loops2 and the Wnt signalling pathway. The microarray analysis revealed that co-culturing of cancer cells with macrophages initiated the myeloid-specific antigen expression in cancer cells, as well as cytokine/chemokine genes expression. This finding was confirmed at mRNA and protein level. Moreover, we showed that macrophages increase cancer migration and invasion. Conclusions The presence of macrophages in the cancer environment induces acquisition of the macrophage phenotype (specific antigens and chemokines/cytokines expression in cancer cells. We presumed that cancer cells also acquire other myeloid features, such as

  10. Integrated analysis of gene expression, CpG island methylation, and gene copy number in breast cancer cells by deep sequencing.

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    Zhifu Sun

    Full Text Available We used deep sequencing technology to profile the transcriptome, gene copy number, and CpG island methylation status simultaneously in eight commonly used breast cell lines to develop a model for how these genomic features are integrated in estrogen receptor positive (ER+ and negative breast cancer. Total mRNA sequence, gene copy number, and genomic CpG island methylation were carried out using the Illumina Genome Analyzer. Sequences were mapped to the human genome to obtain digitized gene expression data, DNA copy number in reference to the non-tumor cell line (MCF10A, and methylation status of 21,570 CpG islands to identify differentially expressed genes that were correlated with methylation or copy number changes. These were evaluated in a dataset from 129 primary breast tumors. Gene expression in cell lines was dominated by ER-associated genes. ER+ and ER- cell lines formed two distinct, stable clusters, and 1,873 genes were differentially expressed in the two groups. Part of chromosome 8 was deleted in all ER- cells and part of chromosome 17 amplified in all ER+ cells. These loci encoded 30 genes that were overexpressed in ER+ cells; 9 of these genes were overexpressed in ER+ tumors. We identified 149 differentially expressed genes that exhibited differential methylation of one or more CpG islands within 5 kb of the 5' end of the gene and for which mRNA abundance was inversely correlated with CpG island methylation status. In primary tumors we identified 84 genes that appear to be robust components of the methylation signature that we identified in ER+ cell lines. Our analyses reveal a global pattern of differential CpG island methylation that contributes to the transcriptome landscape of ER+ and ER- breast cancer cells and tumors. The role of gene amplification/deletion appears to more modest, although several potentially significant genes appear to be regulated by copy number aberrations.

  11. Epidermal differentiation complex (locus 1q21) gene expression in head and neck cancer and normal mucosa.

    Science.gov (United States)

    Tyszkiewicz, Tomasz; Jarzab, Michal; Szymczyk, Cezary; Kowal, Monika; Krajewska, Jolanta; Jaworska, Magdalena; Fraczek, Marcin; Krajewska, Anna; Hadas, Ewa; Swierniak, Michal; Markowski, Jaroslaw; Lange, Dariusz; Poltorak, Stanislaw; Wiench, Malgorzata; Krecicki, Tomasz; Jarzab, Jerzy; Maciejewski, Adam

    2014-01-01

    Epidermal differentiation complex (EDC) comprises a number of genes associated with human skin diseases including psoriasis, atopic dermatitis and hyperkeratosis. These genes have also been linked to numerous cancers, among them skin, gastric, colorectal, lung, ovarian and renal carcinomas. The involvement of EDC components encoding S100 proteins, small proline-rich proteins (SPRRs) and other genes in the tumorigenesis of head and neck squamous cell cancer (HNSCC) has been previously suggested. The aim of the study was to systematically analyze the expression of EDC components on the transcript level in HNSCC. Tissue specimens from 93 patients with HNC of oral cavity and 87 samples from adjacent or distant grossly normal oral mucosawere analyzed. 48 samples (24 tumor and 24 corresponding surrounding tissue) were hybridized to Affymetrix GeneChip Human 1.0 ST Arrays. For validation by quantitative real-time PCR (QPCR) the total RNA from all180 samples collected in the study was analyzed with Real-Time PCR system and fluorescent amplicon specific-probes. Additional set of samples from 14 patients with laryngeal carcinoma previously obtained by HG-U133 Plus 2.0 microarray was also included in the analyses. The expression of analyzed EDC genes was heterogeneous. Two transcripts (S100A1 and S100A4) were significantly down-regulated in oral cancer when compared to normal mucosa (0.69 and 0.36-fold change, respectively), showing an opposite pattern of expression to the remaining S100 genes. Significant up-regulation in tumors was found for S100A11, S100A7, LCE3D, S100A3 and S100A2 genes. The increased expression of S100A7 was subsequently validated by QPCR, confirming significant differences. The remaining EDC genes, including all encoding SPRR molecules, did not show any differences between oral cancer and normal mucosa. The observed differences were also assessed in the independent set of laryngeal cancer samples, confirming the role of S100A3 and LCE3D transcripts in

  12. Relation of nm23 gene expression to CT sign and prognosis in peripheral nonsmall cell lung cancer

    Institute of Scientific and Technical Information of China (English)

    MA Shu-hua; XU Ke; HUANG Tao; HUANG Bao-jun; ZHU Yu-sen; LI Jun; LI Shu; SUN Li-hua

    2005-01-01

    @@ CT observations and the cellular factors of molecular biology each enable one to recognize macro/micro changes in lung cancer. Growing pattern, characteristic shapes, degree of malignancy, relapse and metastasis of lung cancer are mainly determined by their molecular biology. Change of tumour shape, determined by the tumour's biological behaviour, is the basis of CT observations. That is, the pathological change acts as a bridge which links the CT observation to molecular biology and makes the investigation of internal relationship between CT sign and molecular biology behaviour possible. As a tumour suppressor gene, nm23 gene is located in chromosome 17q21.3, encoding a nucleoside diphosphate kinase.1,2 We studied the expression of nm23 in peripheral nonsmall cell lung cancer (NSCLC) using the streptavidin peroxidase (SP) immunohistochemical method and investigated retrospectively the relationship between nm23 gene, CT observation, biological behaviour and prognosis of NSCLC.

  13. "Topological significance" analysis of gene expression and proteomic profiles from prostate cancer cells reveals key mechanisms of androgen response.

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    Adaikkalam Vellaichamy

    Full Text Available BACKGROUND: The problem of prostate cancer progression to androgen independence has been extensively studied. Several studies systematically analyzed gene expression profiles in the context of biological networks and pathways, uncovering novel aspects of prostate cancer. Despite significant research efforts, the mechanisms underlying tumor progression are poorly understood. We applied a novel approach to reconstruct system-wide molecular events following stimulation of LNCaP prostate cancer cells with synthetic androgen and to identify potential mechanisms of androgen-independent progression of prostate cancer. METHODOLOGY/PRINCIPAL FINDINGS: We have performed concurrent measurements of gene expression and protein levels following the treatment using microarrays and iTRAQ proteomics. Sets of up-regulated genes and proteins were analyzed using our novel concept of "topological significance". This method combines high-throughput molecular data with the global network of protein interactions to identify nodes which occupy significant network positions with respect to differentially expressed genes or proteins. Our analysis identified the network of growth factor regulation of cell cycle as the main response module for androgen treatment in LNCap cells. We show that the majority of signaling nodes in this network occupy significant positions with respect to the observed gene expression and proteomic profiles elicited by androgen stimulus. Our results further indicate that growth factor signaling probably represents a "second phase" response, not directly dependent on the initial androgen stimulus. CONCLUSIONS/SIGNIFICANCE: We conclude that in prostate cancer cells the proliferative signals are likely to be transmitted from multiple growth factor receptors by a multitude of signaling pathways converging on several key regulators of cell proliferation such as c-Myc, Cyclin D and CREB1. Moreover, these pathways are not isolated but constitute an

  14. Towards a Holistic, Yet Gene-Centered Analysis of Gene Expression Profiles: A Case Study of Human Lung Cancers

    OpenAIRE

    Yuchun Guo; Eichler, Gabriel S.; Ying Feng; Ingber, Donald E.; Sui Huang

    2006-01-01

    Genome-wide gene expression profile studies encompass increasingly large number of samples, posing a challenge to their presentation and interpretation without losing the notion that each transcriptome constitutes a complex biological entity. Much like pathologists who visually analyze information-rich histological sections as a whole, we propose here an integrative approach. We use a self-organizing maps -based software, the gene expression dynamics inspector (GEDI) to analyze gene expressio...

  15. Ribavirin restores ESR1 gene expression and tamoxifen sensitivity in ESR1 negative breast cancer cell lines

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    Sappok Anne

    2011-12-01

    Full Text Available Abstract Tumor growth is estrogen independent in approximately one-third of all breast cancers, which makes these patients unresponsive to hormonal treatment. This unresponsiveness to hormonal treatment may be explained through the absence of the estrogen receptor alpha (ESR1. The ESR1 gene re-expression through epigenetic modulators such as DNA methyltransferase inhibitors and/or histone deacetylase inhibitors restores tamoxifen sensitivity in ESR1 negative breast cancer cell lines and opens new treatment horizons in patients who were previously associated with a poor prognosis. In the study presented herein, we tested the ability of ribavirin, which shares some structural similarities with the DNA-methyltransferase inhibitor 5-azacytidine and which is widely known as an anti-viral agent in the treatment of hepatitis C, to restore ESR1 gene re-expression in ESR1 negative breast cancer cell lines. In our study we identified ribavirin to restore ESR1 gene re-expression alone and even more in combination with suberoylanilide hydroxamic acid (SAHA - up to 276 fold induction. Ribavirin and analogs could pave the way to novel translational research projects that aim to restore ESR1 gene re-expression and thus the susceptibility to tamoxifen-based endocrine treatment strategies.

  16. A microRNA-7 binding site polymorphism in HOXB5 leads to differential gene expression in bladder cancer.

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    Junhua Luo

    Full Text Available PURPOSE: To investigate the biological function of HOXB5 in human bladder cancer and explore whether the HOXB5 3'-UTR SNP (1010A/G, which is located within the microRNA-7 binding site, was correlated with clinical features of bladder cancer. METHODS: Expression of HOXB5 in 35 human bladder cancer tissues and 8 cell lines were examined using real-time PCR and immunohistochemistry. Next, we explored the biological function of HOXB5 in vitro using cell proliferation, migration and colony formation assays. Using bioinformatics, a SNP (1010A/G was found located within the microRNA-7 binding site in the 3'-UTR of HOXB5. Real-time PCR was used to test HOXB5 expression affected by different alleles. Finally, multivariate logistic regression analysis was used to determine the relationship between SNP (1010A/G frequency and clinical features in 391 cases. RESULTS: HOXB5 was frequently over-expressed both in bladder cancer tissues and cell lines. Inhibition of HOXB5 suppressed the oncogenic function of cancer cells. Next, we demonstrated that a SNP (1010A/G, located within the microRNA-7 binding site in the 3'-UTR of HOXB5, could affect HOXB5 expression in bladder cancer mainly by differential binding activity of microRNA-7 and SNP-related mRNA stability. Finally, we also showed the frequency of 1010G genotype was higher in cancer group compared to normal controls and correlated with the risk of high grade and high stage. CONCLUSION: HOXB5 is overexpressed in bladder cancer. A miRNA-binding SNP (1010A/G located within 3'-UTR of HOXB5 is associated with gene expression and may be a promising prognostic factor for bladder cancer.

  17. Expression of a constitutively active prolactin receptor causes histone trimethylation of the p53 gene in breast cancer

    Institute of Scientific and Technical Information of China (English)

    Tan Dunyong; Tang Peizhi; Huang Jianjun; Zhang Jie; Zhou Weihua; Ameae M.Walker

    2014-01-01

    Background Prolactin (PRL) is a pituitary polypeptide hormone characterized by multiple biological actions including stimulation of growth in the prostate and formation of secretory alveoli and stimulation of milk protein gene expression in the mammary gland.PRL exerts its effect by dimerizing its receptor (PRLR) on the plasma membrane and regulating gene expression through the JAK-Stat signal pathway.We have previously described a natural variant of the PRLR in which the S2 subdomain of the extracellular domain is missing (Delta S2).Delta S2 PRLRs are dimerized in the absence of PRL and have constitutive activity in the promotion of breast cancer cell growth.Enhancer of zeste homolog 2 (EZH2),as one of the histone-modifying enzymes,is a key factor regulating gene expression by epigenetic modification.We hypothesized that these constitutive activated Delta S2 PRLRs played a pathogenic role in breast cancer in part through alterations in the expression of EZH2 and the trimethylation of histone 3 on lysine 27 (H3K27Me3).Methods In order to verify the clinical significance and to establish the link between Delta S2 PRLR expression and epigenetic change,EZH2,H3K27Me3,and Delta S2 PRLR were detected in both normal and cancerous human breast tissues.Also,overexpression of Delta S2 PRLR in breast epithelial cells was achieved by infection with adenovirus carrying the cDNA.Western blotting and chromatin immunoprecipitation (ChIP assay) and acid histone extraction were applied to detect the expression of EZH2 and the trimethylation of histone 3,respectively.Results In breast tissue,higher EZH2 expression and higher H3K27Me3 were found associated with higher Delta S2 expression in breast cancer samples.In breast epithelial cells,overexpression of Delta S2 PRLR increased EZH2 methyltransferase mRNA and protein,induced EZH2 methyltransferase recruitment to chromatin,increased the trimethylation of H3K27Me3,and decreased the expression of p53 gene.Conclusions Delta S2 PRLR

  18. Identification of gene expression patterns in superficial and invasive human bladder cancer

    DEFF Research Database (Denmark)

    Andersen, Thomas Thykjær; Workman, Christopher; Kruhøffer, Mogens;

    2001-01-01

    genes. The obtained expression data were sorted according to a weighting scheme and were subjected to hierarchical cluster analysis of tissues and genes. Northern blotting was used to verify the array data, and immunohistology was used to correlate between RNA and protein levels. Hierarchical clustering...... of samples correctly identified the stage using both 4076 genes and a subset of 400 genes covarying with the stages and grades of tumors. Hierarchical clustering of gene expression levels identified several stage-characteristic, functionally related clusters, encoding proteins that were related to cell...... proliferation, oncogenes and growth factors, cell adhesion, immunology, transcription, proteinases, and ribosomes. Northern blotting correlated well with array data. Immunohistology showed a good concordance between transcript level and protein staining. The study indicates that gene expression patterns may...

  19. The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression

    DEFF Research Database (Denmark)

    Kenny, Paraic A; Lee, Genee Y; Myers, Connie A;

    2007-01-01

    large scale comparison of the transcriptional profiles and 3D cell culture phenotypes of a substantial panel of human breast cancer cell lines. Each cell line adopts a colony morphology of one of four main classes in 3D culture. These morphologies reflect, at least in part, the underlying gene...... expression profile and protein expression patterns of the cell lines, and distinct morphologies were also associated with tumor cell invasiveness and with cell lines originating from metastases. We further demonstrate that consistent differences in genes encoding signal transduction proteins emerge when even...

  20. Prediction of drug efficacy for cancer treatment based on comparative analysis of chemosensitivity and gene expression data

    DEFF Research Database (Denmark)

    Wan, Peng; Li, Qiyuan; Larsen, Jens Erik Pontoppidan;

    2012-01-01

    compounds with reliable experimental half maximum growth inhibitions (GI50) values for 30 cell lines from the NCI60 data set and evaluated their growth inhibitory effect (chemosensitivity) with respect to tissue of origin. This was done by identifying natural clusters in the chemosensitivity data set...... and in a data set of expression profiles of 1901 genes for the corresponding tumor cell lines. Five clusters were identified based on the gene expression data using self-organizing maps (SOM), comprising leukemia, melanoma, ovarian and prostate, basal breast, and luminal breast cancer cells, respectively...

  1. Gene expression changes as markers of early lapatinib response in a panel of breast cancer cell lines

    LENUS (Irish Health Repository)

    O’Neill, Fiona

    2012-06-18

    AbstractBackgroundLapatinib, a tyrosine kinase inhibitor of HER2 and EGFR and is approved, in combination with capecitabine, for the treatment of trastuzumab-refractory metastatic breast cancer. In order to establish a possible gene expression response to lapatinib, a panel of breast cancer cell lines with varying sensitivity to lapatinib were analysed using a combination of microarray and qPCR profiling.MethodsCo-inertia analysis (CIA), a data integration technique, was used to identify transcription factors associated with the lapatinib response on a previously published dataset of 96 microarrays. RNA was extracted from BT474, SKBR3, EFM192A, HCC1954, MDAMB453 and MDAMB231 breast cancer cell lines displaying a range of lapatinib sensitivities and HER2 expression treated with 1 μM of lapatinib for 12 hours and quantified using Taqman RT-PCR. A fold change ≥ ± 2 was considered significant.ResultsA list of 421 differentially-expressed genes and 8 transcription factors (TFs) whose potential regulatory impact was inferred in silico, were identified as associated with lapatinib response. From this group, a panel of 27 genes (including the 8 TFs) were selected for qPCR validation. 5 genes were determined to be significantly differentially expressed following the 12 hr treatment of 1 μM lapatinib across all six cell lines. Furthermore, the expression of 4 of these genes (RB1CC1, FOXO3A, NR3C1 and ERBB3) was directly correlated with the degree of sensitivity of the cell line to lapatinib and their expression was observed to “switch” from up-regulated to down-regulated when the cell lines were arranged in a lapatinib-sensitive to insensitive order. These included the novel lapatinib response-associated genes RB1CC1 and NR3C1. Additionally, Cyclin D1 (CCND1), a common regulator of the other four proteins, was also demonstrated to observe a proportional response to lapatinib exposure.ConclusionsA panel of 5 genes were determined to be differentially

  2. The effect of a DNA repair gene on cellular invasiveness: XRCC3 over-expression in breast cancer cells.

    Directory of Open Access Journals (Sweden)

    Veronica L Martinez-Marignac

    Full Text Available Over-expression of DNA repair genes has been associated with resistance to radiation and DNA-damage induced by chemotherapeutic agents such as cisplatin. More recently, based on the analysis of genome expression profiling, it was proposed that over-expression of DNA repair genes enhances the invasive behaviour of tumour cells. In this study we present experimental evidence utilizing functional assays to test this hypothesis. We assessed the effect of the DNA repair proteins known as X-ray complementing protein 3 (XRCC3 and RAD51, to the invasive behavior of the MCF-7 luminal epithelial-like and BT20 basal-like triple negative human breast cancer cell lines. We report that stable or transient over-expression of XRCC3 but not RAD51 increased invasiveness in both cell lines in vitro. Moreover, XRCC3 over-expressing MCF-7 cells also showed a higher tumorigenesis in vivo and this phenotype was associated with increased activity of the metalloproteinase MMP-9 and the expression of known modulators of cell-cell adhesion and metastasis such as CD44, ID-1, DDR1 and TFF1. Our results suggest that in addition to its' role in facilitating repair of DNA damage, XRCC3 affects invasiveness of breast cancer cell lines and the expression of genes associated with cell adhesion and invasion.

  3. Expression and significance of multidrug resistance gene in the colorectal cancer tissues

    Institute of Scientific and Technical Information of China (English)

    Zhi-Hong Lu; Min-Hong Pang

    2015-01-01

    Objective:To explore the correlation of expressions of MDR1/P-gp and CerbB-2 in the colorectal cancer tissues and their clinical significance.Methods:A total of 86 colorectal cancer tissues specimens were included in the study. The immunohistochemical S-P method was used to detect the expressions of P-gp and CerbB-2, and their correlations were analyzed.Results:The positive rates of the expressions of MDR1/P-gp and CerbB-2 were 36% (31/86) and 28% (24/86), respectively. The positive expression rate of CerbB-2 in the colorectal cancer tissues at a clinical stage of III was significantly higher than that at stage I and II. The positive expression rates of MDR1/P-gp and CerbB-2 in the colorectal cancer tissues with axillary lymph node metastasis were significantly higher than those in the tissues without axillary lymph node metastasis. In the P-gp positive expression group, the positive rate of CerbB-2 was 75.5% (37/49), while the negative rate of CerbB-2 was 24.48% (12/49), and the difference was statistically significant (P<0.01). P-gp had a certain positive correlation with the positive expression rate of CerbB-2. Conclusions:P-gp and CerbB-2 play a certain role in the occurrence of multidrug resistance of colorectal cancer, and their expressions are correlated; therefore, the combination detection can provide an evidence for the chemotherapy choice of colorectal cancer.

  4. Distinct gene expression profiles in ovarian cancer linked to Lynch syndrome

    DEFF Research Database (Denmark)

    Jönsson, Jenny-Maria; Bartuma, Katarina; Dominguez-Valentin, Mev

    2014-01-01

    Ovarian cancer linked to Lynch syndrome represents a rare subset that typically presents at young age as early-stage tumors with an overrepresentation of endometrioid and clear cell histologies. We investigated the molecular profiles of Lynch syndrome-associated and sporadic ovarian cancer...... ovarian cancers. Lynch syndrome-associated and sporadic ovarian cancers differed by 349 significantly deregulated genes, including PTPRH, BIRC3, SHH and TNFRSF6B. The genes involved were predominantly linked to cell growth, proliferation, and cell-to-cell signaling and interaction. When stratified...... for histologic subtype, hierarchical clustering confirmed distinct differences related to heredity in the endometrioid and serous subtypes. Furthermore, separate clustering was achieved in an independent, publically available data set. The distinct genetic signatures in Lynch syndrome-associated and sporadic...

  5. Dynamic modulation of thymidylate synthase gene expression and fluorouracil sensitivity in human colorectal cancer cells.

    Directory of Open Access Journals (Sweden)

    Kentaro Wakasa

    Full Text Available Biomarkers have revolutionized cancer chemotherapy. However, many biomarker candidates are still in debate. In addition to clinical studies, a priori experimental approaches are needed. Thymidylate synthase (TS expression is a long-standing candidate as a biomarker for 5-fluorouracil (5-FU treatment of cancer patients. Using the Tet-OFF system and a human colorectal cancer cell line, DLD-1, we first constructed an in vitro system in which TS expression is dynamically controllable. Quantitative assays have elucidated that TS expression in the transformant was widely modulated, and that the dynamic range covered 15-fold of the basal level. 5-FU sensitivity of the transformant cells significantly increased in response to downregulated TS expression, although being not examined in the full dynamic range because of the doxycycline toxicity. Intriguingly, our in vitro data suggest that there is a linear relationship between TS expression and the 5-FU sensitivity in cells. Data obtained in a mouse model using transformant xenografts were highly parallel to those obtained in vitro. Thus, our in vitro and in vivo observations suggest that TS expression is a determinant of 5-FU sensitivity in cells, at least in this specific genetic background, and, therefore, support the possibility of TS expression as a biomarker for 5-FU-based cancer chemotherapy.

  6. Expression of MTA2 Gene in Ovarian Epithelial Cancer and Its Clinical Implication

    Institute of Scientific and Technical Information of China (English)

    JI Yuxin; ZHANG Ping; LU Yunping; MA Ding

    2006-01-01

    In order to investigate the roles of MTA2 in the pathogenesis of ovarian epithelial cancer, the expression of MTA2 in 4 ovarian cell lines were detected by semi-quantitative RT-PCR and Western-blot assays. MTA2 expression in normal, borderline, benign and malignant epithelial o varian tissues was immunohistochemically examined. The expression of MTA2 mRNA and protein was detected in all of 4 cell lines of ovarian epithelial cancer. The expression of MTA2 mRNA and protein was higher in strong migration cell lines than in weak migration ones. In borderline and malignant ovarian tissues tested, MTA2 staining was dramatically stronger than in normal and benign tissues (P<0.01). The expression levels in malignant ovarian tissues were significantly higher than that in borderline epithelial ovarian tissues (P<0.01). The expression of MTA2 was correlated with clinical stage, histopathological grade and lymph node metastasis. It was concluded that the high expression of MTA2 was associated with more aggressive behaviors of epithelial ovarian cancer. MTA2 provides a novel indicator of ovarian cancer.

  7. Clinical significance of human kallikrein 12 gene expression in gastric cancer

    Institute of Scientific and Technical Information of China (English)

    En-Hao Zhao; Zhi-Yong Shen; Hua Liu; Xin Jin; Hui Cao

    2012-01-01

    AIM:To investigate whether the expression of kallikrein 12 (KLK12) is related to the development of gastric cancer (GC) and to determine the role of KLK12 in gastric cancer cells growth,invasion and migration.METHODS:Between September 2007 and March 2008,133 patients with histologically confirmed GC were recruited for the study.Expression of KLK12 was detected in samples from GC patients by quantitative real-time reverse transcription polymerase chain reaction and immunohistochemistry.The relationship between KLK12 protein expression and clinicopathological features of GC was analyzed.The difference in 5-year survival rates between the high KLK12 protein expression group and the low KLK12 expression group was compared.Additionally,the expression of KLK12 was examined in various human GC cell lines,including MKN-28,SGC-7901 and MKN-45.Small interfering RNA (siRNA) was used to inhibit KLK12 expression in MKN-45 cells.Cell clones stably transfected with KLK12 siRNA were tested for KLK12 expression by quantitative real-time reverse transcription-polymerase chain reaction and Western blotting.Furthermore,a series of functional assays were performed in this study to assess the biological features of transfected cells.Cell proliferation was assessed using the methylthiazolyltetrazoliumassay.Finally,cell migration and invasion were assessed using transwell chamber assays.RESULTS:Of the 133 GC patients induded in the study,126 (94.7%) showed a higher expression level of KLK12 mRNA when compared to noncancerous tissue specimens.Expression of KLK12 mRNA was significantly higher in GC tissues than in normal tissue (P < 0.001).KLK12 protein expression was detected in 96 of 133 (72.2%) GC samples with moderate or strong staining primarily in the cytoplasm.In contrast,negative immunostaining for KLK12 protein was observed in the corresponding normal gastric mucosal tissue.Overexpression of KLK12 protein was significantly associated with lymph node metastasis (P =0

  8. Economic Impact of Gene Expression Profiling in Patients with Early-Stage Breast Cancer in France.

    Directory of Open Access Journals (Sweden)

    Gregory Katz

    Full Text Available The heterogeneous nature of breast cancer can make decisions on adjuvant chemotherapy following surgical resection challenging. Oncotype DX is a validated gene expression profiling test that predicts the likelihood of adjuvant chemotherapy benefit in early-stage breast cancer. The aim of this study is to determine the costs of chemotherapy in private hospitals in France, and evaluate the cost-effectiveness of Oncotype DX from national insurance and societal perspectives.A multicenter study was conducted in seven French private hospitals, capturing retrospective data from 106 patient files. Cost estimates were used in conjunction with a published Markov model to assess the cost-effectiveness of using Oncotype DX to inform chemotherapy decision making versus standard care. Sensitivity analyses were performed.The cost of adjuvant chemotherapy in private hospitals was estimated at EUR 8,218 per patient from a national insurance perspective and EUR 10,305 from a societal perspective. Cost-effectiveness analysis indicated that introducing Oncotype DX improved life expectancy (+0.18 years and quality-adjusted life expectancy (+0.17 QALYs versus standard care. Oncotype DX was found cost-effective from a national insurance perspective (EUR 2,134 per QALY gained and cost saving from a societal perspective versus standard care. Inclusion of lost productivity costs in the modeling analysis meant that costs for eligible patients undergoing Oncotype DX testing were on average EUR 602 lower than costs for those receiving standard care.As Oncotype DX was found both cost and life-saving from a societal perspective, the test was considered to be dominant to standard care. However, the delay in coverage has the potential to erode the quality of the French healthcare system, thus depriving patients of technologies that could improve clinical outcomes and allow healthcare professionals to better allocate hospital resources to improve the standard of care for all

  9. Gene therapy in gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Xu Chang-tai; Guo Xue-gang; Pan Bo-rong

    2003-01-01

    @@ 1 Introduction We have reviewed the gene therapy in gastrointestinal diseases[1]. Gastric cancer is common in China[2~20] ,and its early diagnosis andtreatment are still difficult up to now[13~36]. The expression of anexogenous gene introduced by gene therapy into patients with gliomascan be monitored non- invasively by positron- emission tomography[4]. In recent years, gene study in cancer is a hotspot, and great progress hasbeen achieved[33~41].

  10. Identification of differential gene expression profiles of radioresistant lung cancer cell line established by fractionated ionizing radiation in vitro

    Institute of Scientific and Technical Information of China (English)

    XU Qing-yong; GAO Yuan; LIU Yan; YANG Wei-zhi; XU Xiang-ying

    2008-01-01

    Background Radiotherapy plays a critical role in the management of non-small cell lung cancer (NSCLC). This study was conducted to identify gene expression profiles of acquired radioresistant NSCLC cell line established by fractionated ionizing radiation (FIR) by cDNA microarray.Methods The human lung adenocarcinoma cell line Anip973 was treated with high energy X-ray to receive 60 Gy in 4 Gy fractions. The radiosensitivity of Anip973R and its parental line were measured by clonogenic assay. Gene expression profiles of Anip973R and its parental line were analyzed using cDNA microarray consisting of 21 522 human genes.Identified partly different expressive genes were validated by quantitative reverse transcription-polymerase chain reaction (Q-RT-PCR).Results Fifty-nine upregulated and 43 downregulated genes were identified to radio-resistant Anip973R. Up-regulated genes were associated with DNA damage repair (DDB2), extracellular matrix (LOX), cell adhesion (CDH2), and apoptosis (CRYAB). Down-regulated genes were associated with angiogenesis (GBP-1), immune response (CD83), and calcium signaling pathway (TNNC1). Subsequent validation of selected eleven genes (CD24, DDB2, IGFBP3, LOX,CDH2, CRYAB, PROCR, ANXA1 DCN, GBP-1 and CD83) by Q-RT-PCR was consistent with microarray analysis.Conclusions Fractionated ionizing radiation can lead to the development of radiation resistance. Altered gene profiles of radioresistant cell line may provide new insights into mechanisms underlying clinical radioresistance for NSCLC.

  11. Hepatocyte RXRalpha deficiency in matured and aged mice: impact on the expression of cancer-related hepatic genes in a gender-specific manner

    Directory of Open Access Journals (Sweden)

    Lehman-McKeeman Lois

    2008-08-01

    Full Text Available Abstract Background The occurrence of liver cancer is higher in males than in females, and the incidence increases during aging. Signaling pathways regulated by retinoid × receptor α (RXRα are involved in hepatocellular carcinogenesis. The phenotype of hepatocyte RXRα deficient mice is different between genders. To explore the impact of hepatocyte RXRα deficiency on gender-dependent hepatic gene expression, we compared the expression profiles of cancer-related genes in 6 and 24 month old male and female mice. Results In 6 month old mice, male mutant mice showed more cancer-related genes with alteration in mRNA levels than females did (195 vs. 60. In aged mice (24 month, female mutant mice showed greater deviation in mRNA expression levels of cancer-related genes than their male counterparts (149 vs. 82. The genes were classified into five categories according to their role in carcinogenesis: apoptosis, metastasis, cell growth, stress, and immune respnse. In each category, dependent upon age and gender, the genes as well as the number of genes with altered mRNA levels due to RXRα deficiency varies. Conclusion The change in hepatic cancer-related gene expression profiles due to RXRα deficiency was gender- and age-dependent. The alteration of mRNA levels of cancer-related genes implied that aberrant RXRα signaling could potentially increase the risk of liver cancer and that retinoid signaling might contribute to gender- and age-associated liver cancer incidence.

  12. Comprehensive study of gene and microRNA expression related to epithelial-mesenchymal transition in prostate cancer.

    Directory of Open Access Journals (Sweden)

    Betina Katz

    Full Text Available Prostate cancer is the most common cancer in men, and most patients have localized disease at the time of diagnosis. However, 4% already present with metastatic disease. Epithelial-mesenchymal transition is a fundamental process in carcinogenesis that has been shown to be involved in prostate cancer progression. The main event in epithelial-mesenchymal transition is the repression of E-cadherin by transcription factors, but the process is also regulated by microRNAs. The aim of this study was to analyze gene and microRNA expression involved in epithelial-mesenchymal transition in localized prostate cancer and metastatic prostate cancer cell lines and correlate with clinicopathological findings. We studied 51 fresh frozen tissue samples from patients with localized prostate cancer (PCa treated by radical prostatectomy and three metastatic prostate cancer cell lines (LNCaP, DU145, PC3. The expression of 10 genes and 18 miRNAs were assessed by real-time PCR. The patients were divided into groups according to Gleason score, pathological stage, preoperative PSA, biochemical recurrence, and risk group for correlation with clinicopathological findings. The majority of localized PCa cases showed an epithelial phenotype, with overexpression of E-cadherin and underexpression of the mesenchymal markers. MiRNA-200 family members and miRNAs 203, 205, 183, 373, and 21 were overexpressed, while miRNAs 9, 495, 29b, and 1 were underexpressed. Low-expression levels of miRNAs 200b, 30a, and 1 were significantly associated with pathological stage. Lower expression of miR-200b was also associated with a Gleason score ≥ 8 and shorter biochemical recurrence-free survival. Furthermore, low-expression levels of miR-30a and high-expression levels of Vimentin and Twist1 were observed in the high-risk group. Compared with the primary tumor, the metastatic cell lines showed significantly higher expression levels of miR-183 and Twist1. In summary, miRNAs 200b, 30a, 1, and

  13. Profile of differentially expressed genes mediated by the type III epidermal growth factor receptor mutation expressed in a small-cell lung cancer cell line

    DEFF Research Database (Denmark)

    Pedersen, M.W.; Andersen, Thomas Thykjær; Ørntoft, Torben Falck;

    2001-01-01

    understanding of how the EGFRvIII contributes to the malignant phenotype is of major importance for future therapy. The GeneChip Hu6800Set developed by Affymetrix was used to identify changes in gene expression caused by the expression of EGFRvIII. The cell line selected for the study was an EGF receptor......Previous studies have shown a correlation between expression of the EGF receptor type III mutation (EGFRvIII) and a more malignant phenotype of various cancers including: non-small-cell lung cancer, glioblastoma multiforme, prostate cancer and breast cancer. Thus, a detailed molecular genetic...... negative small-cell-lung cancer cell line, GLC3, stably transfected with the EGFRvIII gene in a Tet-On system. By comparison of mRNA levels in EGFRvIII-GLC3 with those of Tet-On-GLC3, it was found that the levels of mRNAs encoding several transcription factors (ATF-3, JunD, and c-Myb), cell adhesion...

  14. A New Drug Combinatory Effect Prediction Algorithm on the Cancer Cell Based on Gene Expression and Dose-Response Curve.

    Science.gov (United States)

    Goswami, C Pankaj; Cheng, L; Alexander, P S; Singal, A; Li, L

    2015-02-01

    Gene expression data before and after treatment with an individual drug and the IC20 of dose-response data were utilized to predict two drugs' interaction effects on a diffuse large B-cell lymphoma (DLBCL) cancer cell. A novel drug interaction scoring algorithm was developed to account for either synergistic or antagonistic effects between drug combinations. Different core gene selection schemes were investigated, which included the whole gene set, the drug-sensitive gene set, the drug-sensitive minus drug-resistant gene set, and the known drug target gene set. The prediction scores were compared with the observed drug interaction data at 6, 12, and 24 hours with a probability concordance (PC) index. The test result shows the concordance between observed and predicted drug interaction ranking reaches a PC index of 0.605. The scoring reliability and efficiency was further confirmed in five drug interaction studies published in the GEO database.

  15. Selenium is critical for cancer-signaling gene expression but not cell proliferation in human colon Caco-2 cells.

    Science.gov (United States)

    Zeng, Huawei; Botnen, James H

    2007-01-01

    Selenium (Se) is a potential anticarcinogenic nutrient, and the essential role of Se in cell growth is well recognized but certain cancer cells appear to have acquired a survival advantage under conditions of Se-deficiency. To understand the molecular basis of Se-anticancer effects at nutritional doses (nmol/L) for cultured cells, we generated Se-deficient colon Caco-2 cells by gradually reducing serum in media because serum contains a trace amount of Se. The glutathione peroxidase (GPx) activity of Se-deficient Caco-2 cells was 10.8 mU/mg protein compared to 133.6 approximately 146.3 mU/mg protein in Caco-2 cells supplemented with 500 nmol/L selenite, SeMSC or SeMet (three tested Se-chemical forms) after 7-d culture in serum free media. Interestingly, there were no detectable differences in cell growth, cell cycle progression between Se-deficient cells and cells supplemented with 500 nmol/L Se. To examine differential cancer signaling-gene expression between Se-deficient and Se-supplemented cells, we employed a cancer signal pathway-specific array assay coupled with the real time PCR analysis. Our data demonstrate that although Caco-2 cells are resistant to Se deprivation, Se may exert its anticancer property through increasing the expression of humoral defense gene (A2M) and tumor suppressor-related genes (IGFBP3, HHIP) while decreasing pro-inflammatory gene (CXC L9, HSPB2) expression.

  16. Epigenetic control of the basal-like gene expression profile via Interleukin-6 in breast cancer cells

    Directory of Open Access Journals (Sweden)

    Mitrugno Valentina

    2010-11-01

    Full Text Available Abstract Background Basal-like carcinoma are aggressive breast cancers that frequently carry p53 inactivating mutations, lack estrogen receptor-α (ERα and express the cancer stem cell markers CD133 and CD44. These tumors also over-express Interleukin 6 (IL-6, a pro-inflammatory cytokine that stimulates the growth of breast cancer stem/progenitor cells. Results Here we show that p53 deficiency in breast cancer cells induces a loss of methylation at IL-6 proximal promoter region, which is maintained by an IL-6 autocrine loop. IL-6 also elicits the loss of methylation at the CD133 promoter region 1 and of CD44 proximal promoter, enhancing CD133 and CD44 gene transcription. In parallel, IL-6 induces the methylation of estrogen receptor (ERα promoter and the loss of ERα mRNA expression. Finally, IL-6 induces the methylation of IL-6 distal promoter and of CD133 promoter region 2, which harbour putative repressor regions. Conclusion We conclude that IL-6, whose methylation-dependent autocrine loop is triggered by the inactivation of p53, induces an epigenetic reprogramming that drives breast carcinoma cells towards a basal-like/stem cell-like gene expression profile.

  17. Cancer cell gene expression modulated from plasma membrane integrin αvβ3 by thyroid hormone and nanoparticulate tetrac

    Directory of Open Access Journals (Sweden)

    Paul eDavis

    2015-01-01

    Full Text Available Integrin αvβ3 is generously expressed by cancer cells and rapidly dividing endothelial cells. The principal ligands of the integrin are extracellular matrix proteins, but we have described a cell surface small molecule receptor on αvβ3 that specifically binds thyroid hormone and thyroid hormone analogues. From this receptor, thyroid hormone (L-thyroxine, T4; 3,5,3’-triiodo-L-thyronine, T3 and tetraiodothyroacetic acid (tetrac regulate expression of specific genes by a mechanism that is initiated nongenomically. At the integrin, T4 and T3 at physiological concentrations are pro-angiogenic by multiple mechanisms that include gene expression, and T4 supports tumor cell proliferation. Tetrac blocks the transcriptional activities directed by T4 and T3 at αvβ3, but, independently of T4 and T3, tetrac modulates transcription of cancer cell genes that are important to cell survival pathways, control of the cell cycle, angiogenesis, apoptosis, cell export of chemotherapeutic agents and repair of double-strand DNA breaks. We have covalently bound tetrac to a 200 nm biodegradable nanoparticle that prohibits cell entry of tetrac and limits its action to the hormone receptor on the extracellular domain of plasma membrane αvβ3. This reformulation has greater potency than unmodified tetrac at the integrin and affects a broader range of cancer-relevant genes. In addition to these actions on intracellular kinase-mediated regulation of gene expression, hormone analogues at αvβ3 have additional effects on intracellular protein-trafficking (cytosol compartment to nucleus, nucleoprotein phosphorylation and generation of nuclear coactivator complexes that are relevant to traditional genomic actions of T3. Thus, previously unrecognized cell surface-initiated actions of thyroid hormone and tetrac formulations at αvβ3 offer opportunities to regulate angiogenesis and multiple aspects of cancer cell behavior.

  18. Gene expression alterations associated with outcome in aromatase inhibitor-treated ER+ early-stage breast cancer patients.

    Science.gov (United States)

    Thomsen, Karina G; Lyng, Maria B; Elias, Daniel; Vever, Henriette; Knoop, Ann S; Lykkesfeldt, Anne E; Lænkholm, Anne-Vibeke; Ditzel, Henrik J

    2015-12-01

    Aromatase inhibitors (AI), either alone or together with chemotherapy, have become the standard adjuvant treatment for postmenopausal, estrogen receptor-positive (ER+) breast cancer. Although AIs improve overall survival, resistance is still a major clinical problem, thus additional biomarkers predictive of outcome of ER+ breast cancer patients treated with AIs are needed. Global gene expression analysis was performed on ER+ primary breast cancers from patients treated with adjuvant AI monotherapy; half experienced recurrence (median follow-up 6.7 years). Gene expression alterations were validated by qRT-PCR, and functional studies evaluating the effect of siRNA-mediated gene knockdown on cell growth were performed. Twenty-six genes, including TFF3, DACH1, RGS5, and GHR, were shown to exhibit altered expression in tumors from patients with recurrence versus non-recurrent (fold change ≥1.5, p proliferation, growth, and development. TFF3, which encodes for trefoil factor 3 and is an estrogen-responsive oncogene shown to play a functional role in tamoxifen resistance and metastasis of ER+ breast cancer, was also shown to be upregulated in an AI-resistant cell line model, and reduction of TFF3 levels using TFF3-specific siRNAs decreased the growth of both the AI-resistant and -sensitive parental cell lines. Moreover, overexpression of TFF3 in parental AI-sensitive MCF-7/S0.5 cells resulted in reduced sensitivity to the AI exemestane, whereas TFF3 overexpression had no effect on growth in the absence of exemestane, indicating that TFF3 mediates growth and survival signals that abrogate the growth inhibitory effect of exemestane. We identified a panel of 26 genes exhibiting altered expression associated with disease recurrence in patients treated with adjuvant AI monotherapy, including TFF3, which was shown to exhibit a growth- and survival-promoting effect in the context of AI treatment.

  19. Relationship between LYVE-1, VEGFR-3 and CD44 gene expressions and lymphatic metastasis in gastric cancer

    Institute of Scientific and Technical Information of China (English)

    FusunOzmen; MahirOzmen; EvrenOzdemir; MunevverMoran; SeldaSeckin; DicleGUC; ErgunKaraagaoglu; EminKansu

    2011-01-01

    AIM: To investigate the expression levels of lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1), vascular endothelial growth factor receptor-3 (VEGFR-3) and CD44 genes and the relationship between their levels and clinicopathological parameters in gastric cancer.METHODS: Tissue samples were obtained from 33 patients (8 females) with gastric cancer. mRNA levels of LYVE-1, VEGFR-3 and CD44 in normal and tumor tissues were quantitatively measured using real time polymerase chain reaction. The results were correlated with lymph node metastasis, histological type and differentiation of the tumor, T-stage, and presence of vascular, perineural and lymphatic invasions. The distribution of molecules in the tissue was evaluated using immunohistochemistry. RESULTS: LYVE-1, CD44 and VEGFR-3 gene expression levels were significantly higher in gastric cancer than in normal tissue. While there was no correlation between gene expressions and clinicopathologic fea- tures such as histologic type, differentiation and stage, gene expression levels were found to be increased in conjunction with positive lymph node/total lymph node ratio and the presence of perineural invasion. A significant correlation was also found between LYVE-1 and CD44 over-expressions and perineural invasion and lymph node positivity in gastric cancers. When the dis- tribution of LYVE-1 antibody-stained lymphatic vessels in tissue was evaluated, lymphatic vessels were located intra-tumorally in 13% and peri-tumorally in 27% of the patients. Moreover, lymph node metastases were also positive in all patients with LYVE-1-staining. CONCLUSION: LYVE-1, VEGFR-3 and CD44 all play an important role in lymphangiogenesis, invasion and metastasis. LYVE-1 is a perfectly reliable lymphatic vessel marker and useful for immunohistochemistry.

  20. Alterations in LMTK2, MSMB and HNF1B gene expression are associated with the development of prostate cancer

    Directory of Open Access Journals (Sweden)

    McCullagh Paul

    2010-06-01

    Full Text Available Abstract Background Genome wide association studies (GWAS have identified several genetic variants that are associated with prostate cancer. Most of these variants, like other GWAS association signals, are located in non-coding regions of potential candidate genes, and thus could act at the level of the mRNA transcript. Methods We measured the expression and isoform usage of seven prostate cancer candidate genes in benign and malignant prostate by real-time PCR, and correlated these factors with cancer status and genotype at the GWAS risk variants. Results We determined that levels of LMTK2 transcripts in prostate adenocarcinomas were only 32% of those in benign tissues (p = 3.2 × 10-7, and that an independent effect of genotype at variant rs6465657 on LMTK2 expression in benign (n = 39 and malignant tissues (n = 21 was also evident (P = 0.002. We also identified that whilst HNF1B(C and MSMB2 comprised the predominant isoforms in benign tissues (90% and 98% of total HNF1B or MSMB expression, HNF1B(B and MSMB1 were predominant in malignant tissue (95% and 96% of total HNF1B or MSMB expression; P = 1.7 × 10-7 and 4 × 10-4 respectively, indicating major shifts in isoform usage. Conclusions Our results indicate that the amount or nature of mRNA transcripts expressed from the LMTK2, HNF1B and MSMB candidate genes is altered in prostate cancer, and provides further evidence for a role for these genes in this disorder. The alterations in isoform usage we detect highlights the potential importance of alternative mRNA processing and moderation of mRNA stability as potentially important disease mechanisms.

  1. THE AMPLIFICATION AND EXPRESSION OF MDR1 GENE IN ADRIAMYCINE RESISTANT CELL LINE OF COLON CANCER CELL HR8348

    Institute of Scientific and Technical Information of China (English)

    周中军; 罗贤懋; 林晨; 陈凤

    1996-01-01

    P-glycoprotein plays an important role in highly drug resistant cells. But its high expression cannot be acheived by chemotherapy. In order to study the effect of P-glycoprotein on clinical tumors, wo ostablished a low ADM resistant colon cancer ceil line HR/ADM and determined the amplification and expression of mdr-1 gene. The GLC/ADM showed a resistant pattern similar to classical MDR and the transcription of mdr-1 gene determined by RT-PCR increased. The immunocytcchemical analysis showed strong positive staining with monoelonal antibozly. The gene amplification of mdr-l was dearly demonstrated by southern blot. Our results suggested that moderate expression of P-glycoprotein might be enough for a high resistant pattern.

  2. Classification and Diagnostic Output Prediction of Cancer Using Gene Expression Profiling and Supervised Machine Learning Algorithms

    DEFF Research Database (Denmark)

    Yoo, C.; Gernaey, Krist

    2008-01-01

    In this paper, a new supervised clustering and classification method is proposed. First, the application of discriminant partial least squares (DPLS) for the selection of a minimum number of key genes is applied on a gene expression microarray data set. Second, supervised hierarchical clustering ...

  3. Effects of Smac gene over-expression on the radiotherapeutic sensitivities of cervical cancer cell line HeLa

    Institute of Scientific and Technical Information of China (English)

    ZHENG Li-duan; XIONG Zhou-fang; ZHU Jian-wen; WANG Ze-hua

    2005-01-01

    Background The second mitochondria-derived activator of caspases (Smac) is a novel proapoptotic gene, which plays an important role in the apoptosis-inducing effects of irradiation on tumor cells. The purpose of this study was to investigate the effects of extrinsic Smac gene transfer and its over-expression in radiotherapeutic sensitivities of cervical cancer cells. Methods After the Smac gene was transferred into the cervical cancer cell line HeLa, subcloned cells were obtained by persistent G418 selection. Cellular Smac gene expression was detected by RT-PCR and Western blot, while in vitro cell viabilities were detected by trypan blue staining assay. After treatment with X-ray irradiation, cellular radiotherapeutic sensitivities were investigated by tetrazolium bromide colorimetry. Cellular apoptosis and its rate were determined by electronic microscopy, annexin V-FITC and propidium iodide staining flow cytometry. The expression and activities of cellular caspase-3 were assayed by Western blot and colorimetry. Results Smac mRNA and protein levels in HeLa/Smac cells and the selected subclone cell line of cervical cancer were significantly higher than those of HeLa (P0.05). However, after irradiation with 8 Gy X-ray, growth activities of HeLa/Smac were reduced by 22.42% (P<0.01). When compared with those of HeLa, partial HeLa/Smac cells presented characteristic morphological changes of apoptosis under electronic microscope, with higher apoptosis rates (16.4% vs. 6.2%, P<0.01); the caspase-3 expression levels in HeLa/Smac cells were improved significantly (P<0.01), while its activities were increased by 3.42 times (P<0.01).Conclusions Stable transfer of the extrinsic Smac gene and its over-expression in cervical cancer cell line could significantly enhance the expression and activities of cellular caspase-3 and ameliorate apoptosis-inducing effects of irradiation on cancer cells, which was a novel strategy to improve radiotherapeutic effects on cervical cancer.

  4. Suppressed miR-424 expression via upregulation of target gene Chk1 contributes to the progression of cervical cancer.

    Science.gov (United States)

    Xu, J; Li, Y; Wang, F; Wang, X; Cheng, B; Ye, F; Xie, X; Zhou, C; Lu, W

    2013-02-21

    MicroRNAs (miRNAs) act as important gene regulators in human genomes and their aberrant expression links to many malignancies. We previously identified a different characteristic miRNA expression profile in cervical cancer from that in cervical normal tissues, including the downregulated miR-424. However, the role and mechanism of miR-424 in cervical cancer still remain unknown. Here, we focused on identifying the tumor-suppressive function and clinical significance of miR-424 and exploring the mechanistic relevance by characterizing its target. We showed a significantly decreased expression of miR-424 in 147 cervical cancer tissues versus 74 cervical normal tissues by performing quantitative RT-PCR. In 147 cervical cancer tissue samples, low-level expression of miR-424 was positively correlated with poor tumor differentiation, advanced clinical stage, lymph node metastasis and other poor prognostic clinicopathological parameters. Further in vitro observations showed that enforced expression of miR-424 inhibited cell growth by both enhancing apoptosis and blocking G1/S transition, and suppressed cell migration and invasion in two human cervical cancer cell lines, SiHa and CaSki, implying that miR-424 functions as a tumor suppressor in the progression of cervical cancer. Interestingly, overexpression of miR-424 inhibited the expression of protein checkpoint kinase 1 (Chk1) and phosphorylated Chk1 (p-Chk1) at residues Ser345 and decreased the activity of luciferase-reporter containing the 3'-untranslated region (UTR) of Chk1 with predicted miR-424-binding site. Moreover, miR-424 expression levels were inversely correlated with Chk1 and p-Chk1 protein levels in both cervical cancer and normal tissues. Furthermore, RNAi-mediated knockdown of Chk1 decreased matrix metalloproteinase 9 expression and phenocopied the tumor suppressive effects of miR-424 in cell models. Taken together, our results identify a crucial tumor suppressive role of miR-424 in the progression of

  5. Relationship between the expression of human telomerase reverse transcriptase gene and cell cycle regulators in gastric cancer and its significance

    Institute of Scientific and Technical Information of China (English)

    Jin-Chen Shao; Ji-Feng Wu; Dao-Bin Wang; Rong Qin; Hong Zhang

    2003-01-01

    AIM: To investigate the expression of human telomerase reverse transcriptase gene (hTRT) in gastric cancer (GC)and its relevance with cell cycle regulators including P16INK4,cyclin and P53.METHODS: In situ hybridization (ISH) for hTRT mRNA was performed in 53 cases of gastric cancer and adjacent cancerous tissues. Immunohistochemical staining (S-Pmethod) for hTRT protein, P16INK4, cyclinD1 and P53 was performed in 53 cases of GC and adjacent cancerous tissues.RESULTS: Of 53 cases of GC, the expression of hTRT mRNA and hTRT protein was significantly higher than the expression of hTRT mRNA and hTRT protein in adjacent canerous tissues (P<0.01), the positive rates of hTRTmRNA and hTRT protein were 79.2 % and 88.6 %. There was a stastical difference of the expression of hTRT protein among well differentiated adenocarcinoma, poorly differentiated adenocarcinoma and mucoid carcinoma. And there was a highly significant positive correlation between the expression of hTRT mRNA and hTRT protein (r=0.625, P<0.01). However, the expression of hTRT mRNA and its protein in GC were not related with other clinicopathological parameters including gender, age, location and size of neoplasm, invasion depth, lymph node metastasis and clinical stage. There was a significant positive correlation between the expression of hTRT mRNA and cyclinD1 protein (r=0.350, P<0.01). There was a significant positive correlation between the expression of cyclinD1 protein and hTRT protein (r=0.549, P<0.01), so was between P53 and hTRT protein (r=0.319, P<0.05).CONCLUSION: The expression of hTRT gene is correlated significantly to the specific defects of cell cycle on G1/S check point; telomerase activity may depend on cell cycle in gastric cancer and it is available to clarify the molecular mechanism of telomerase activity regulation. The expression of hTRT mRNA and hTRT protein in GC is significantly different from the expression of hTRT mRNA and hTRT protein in adjacent cancerous tissue

  6. The effect of adenovirus-mediated gene expression of FHIT in small cell lung cancer cells

    DEFF Research Database (Denmark)

    Zandi, Roza; Xu, Kai; Poulsen, Hans S

    2011-01-01

    The candidate tumor suppressor fragile histidine traid (FHIT) is frequently inactivated in small cell lung cancer (SCLC). Mutations in the p53 gene also occur in the majority of SCLC leading to the accumulation of the mutant protein. Here we evaluated the effect of FHIT gene therapy alone...... or in combination with the mutant p53-reactivating molecule, PRIMA-1(Met)/APR-246, in SCLC. Overexpression of FHIT by recombinant adenoviral vector (Ad-FHIT)-mediated gene transfer in SCLC cells inhibited their growth by inducing apoptosis and when combined with PRIMA-1(Met)/APR-246, a synergistic cell growth...

  7. Robust assignment of cancer subtypes from expression data using a uni-variate gene expression average as classifier

    Directory of Open Access Journals (Sweden)

    Ryden Tobias

    2010-10-01

    Full Text Available Abstract Background Genome wide gene expression data is a rich source for the identification of gene signatures suitable for clinical purposes and a number of statistical algorithms have been described for both identification and evaluation of such signatures. Some employed algorithms are fairly complex and hence sensitive to over-fitting whereas others are more simple and straight forward. Here we present a new type of simple algorithm based on ROC analysis and the use of metagenes that we believe will be a good complement to existing algorithms. Results The basis for the proposed approach is the use of metagenes, instead of collections of individual genes, and a feature selection using AUC values obtained by ROC analysis. Each gene in a data set is assigned an AUC value relative to the tumor class under investigation and the genes are ranked according to these values. Metagenes are then formed by calculating the mean expression level for an increasing number of ranked genes, and the metagene expression value that optimally discriminates tumor classes in the training set is used for classification of new samples. The performance of the metagene is then evaluated using LOOCV and balanced accuracies. Conclusions We show that the simple uni-variate gene expression average algorithm performs as well as several alternative algorithms such as discriminant analysis and the more complex approaches such as SVM and neural networks. The R package rocc is freely available at http://cran.r-project.org/web/packages/rocc/index.html.

  8. Enriched environment inhibits mouse pancreatic cancer growth and down-regulates the expression of mitochondria-related genes in cancer cells.

    Science.gov (United States)

    Li, Guohua; Gan, Yu; Fan, Yingchao; Wu, Yufeng; Lin, Hechun; Song, Yanfang; Cai, Xiaojin; Yu, Xiang; Pan, Weihong; Yao, Ming; Gu, Jianren; Tu, Hong

    2015-01-19

    Psycho-social stress has been suggested to influence the development of cancer, but it remains poorly defined with regard to pancreatic cancer, a lethal malignancy with few effective treatment modalities. In this study, we sought to investigate the impacts of enriched environment (EE) housing, a rodent model of "eustress", on the growth of mouse pancreatic cancer, and to explore the potential underlying mechanisms through gene expression profiling. The EE mice showed significantly reduced tumor weights in both subcutaneous (53%) and orthotopic (41%) models, while each single component of EE (inanimate stimulation, social stimulation or physical exercise) was not profound enough to achieve comparative anti-tumor effects as EE. The integrative transcriptomic and proteomic analysis revealed that in response to EE, a total of 129 genes in the tumors showed differential expression at both the mRNA and protein levels. The differentially expressed genes were mostly localized to the mitochondria and enriched in the citrate cycle and oxidative phosphorylation pathways. Interestingly, nearly all of the mitochondria-related genes were down-regulated by EE. Our data have provided experimental evidence in favor of the application of positive stress or of benign environmental stimulation in pancreatic cancer therapy.

  9. Effects of emodin on gene expression profile in small cell lung cancer NCI-H446 cells

    Institute of Scientific and Technical Information of China (English)

    FU Zhong-yan; HAN Jin-xiang; HUANG Hai-yan

    2007-01-01

    Background The treatment of patients with small cell lung cancer (SCLC) is based on chemotherapy. However, the treatment is limited by the development of drug resistance. Emodin has been shown to exhibit an anti-cancer effect. But the molecular mechanism remains unclear. This study was conducted to investigate the effect of emodin on the gene expression profile changes in SCLC NCI-H446 cells.Methods NCI-H446 cells were treated with emodin and cell viability was determined by MTT assay. Cell apoptosis was determined by both flow cytometry and caspase-3 activity assay. The effect of emodin on the gene expression profile of NCI-H446 cells was analyzed using cDNA microarray. Semi-quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) was used to validate the microarray results.Results Emodin suppressed viability, induced apoptosis and changed cell cycle of NCI-H446 cells. Among the 1262 genes, 10 genes were up-regulated and 8 genes were down-regulated more than 2 folds in NCI-H446 cells when compared with the control cells after treatment with emodin for 12 hours, while 12 genes were up-regulated and 24 genes were down-regulated after treatment with emodin for 24 hours. These genes were involved in metabolism, signal transduction, transcription regulation, cytoskeleton organization, immune response, transport, protein synthesis, cell cycle control, cell adhesion and RNA processing. The RT-PCR results were consistent with those obtained by the microarray.Conclusions Emodin affects the expression of genes involved in various cellular functions and plays important roles in cell apoptosis, tumor metastasis and chemotherapy-resistance, which suggests emodin might become an effective chemopreventive or chemotherapeutic agent for SCLC.

  10. Matrix rigidity induces osteolytic gene expression of metastatic breast cancer cells.

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    Nazanin S Ruppender

    Full Text Available Nearly 70% of breast cancer patients with advanced disease will develop bone metastases. Once established in bone, tumor cells produce factors that cause changes in normal bone remodeling, such as parathyroid hormone-related protein (PTHrP. While enhanced expression of PTHrP is known to stimulate osteoclasts to resorb bone, the environmental factors driving tumor cells to express PTHrP in the early stages of development of metastatic bone disease are unknown. In this study, we have shown that tumor cells known to metastasize to bone respond to 2D substrates with rigidities comparable to that of the bone microenvironment by increasing expression and production of PTHrP. The cellular response is regulated by Rho-dependent actomyosin contractility mediated by TGF-ß signaling. Inhibition of Rho-associated kinase (ROCK using both pharmacological and genetic approaches decreased PTHrP expression. Furthermore, cells expressing a dominant negative form of the TGF-ß receptor did not respond to substrate rigidity, and inhibition of ROCK decreased PTHrP expression induced by exogenous TGF-ß. These observations suggest a role for the differential rigidity of the mineralized bone microenvironment in early stages of tumor-induced osteolysis, which is especially important in metastatic cancer since many cancers (such as those of the breast and lung preferentially metastasize to bone.

  11. MicroRNA expression profiling to identify and validate reference genes for relative quantification in colorectal cancer

    LENUS (Irish Health Repository)

    Chang, Kah Hoong

    2010-04-29

    Abstract Background Advances in high-throughput technologies and bioinformatics have transformed gene expression profiling methodologies. The results of microarray experiments are often validated using reverse transcription quantitative PCR (RT-qPCR), which is the most sensitive and reproducible method to quantify gene expression. Appropriate normalisation of RT-qPCR data using stably expressed reference genes is critical to ensure accurate and reliable results. Mi(cro)RNA expression profiles have been shown to be more accurate in disease classification than mRNA expression profiles. However, few reports detailed a robust identification and validation strategy for suitable reference genes for normalisation in miRNA RT-qPCR studies. Methods We adopt and report a systematic approach to identify the most stable reference genes for miRNA expression studies by RT-qPCR in colorectal cancer (CRC). High-throughput miRNA profiling was performed on ten pairs of CRC and normal tissues. By using the mean expression value of all expressed miRNAs, we identified the most stable candidate reference genes for subsequent validation. As such the stability of a panel of miRNAs was examined on 35 tumour and 39 normal tissues. The effects of normalisers on the relative quantity of established oncogenic (miR-21 and miR-31) and tumour suppressor (miR-143 and miR-145) target miRNAs were assessed. Results In the array experiment, miR-26a, miR-345, miR-425 and miR-454 were identified as having expression profiles closest to the global mean. From a panel of six miRNAs (let-7a, miR-16, miR-26a, miR-345, miR-425 and miR-454) and two small nucleolar RNA genes (RNU48 and Z30), miR-16 and miR-345 were identified as the most stably expressed reference genes. The combined use of miR-16 and miR-345 to normalise expression data enabled detection of a significant dysregulation of all four target miRNAs between tumour and normal colorectal tissue. Conclusions Our study demonstrates that the top six most

  12. MicroRNA expression profiling to identify and validate reference genes for relative quantification in colorectal cancer.

    LENUS (Irish Health Repository)

    Chang, Kah Hoong

    2010-01-01

    BACKGROUND: Advances in high-throughput technologies and bioinformatics have transformed gene expression profiling methodologies. The results of microarray experiments are often validated using reverse transcription quantitative PCR (RT-qPCR), which is the most sensitive and reproducible method to quantify gene expression. Appropriate normalisation of RT-qPCR data using stably expressed reference genes is critical to ensure accurate and reliable results. Mi(cro)RNA expression profiles have been shown to be more accurate in disease classification than mRNA expression profiles. However, few reports detailed a robust identification and validation strategy for suitable reference genes for normalisation in miRNA RT-qPCR studies. METHODS: We adopt and report a systematic approach to identify the most stable reference genes for miRNA expression studies by RT-qPCR in colorectal cancer (CRC). High-throughput miRNA profiling was performed on ten pairs of CRC and normal tissues. By using the mean expression value of all expressed miRNAs, we identified the most stable candidate reference genes for subsequent validation. As such the stability of a panel of miRNAs was examined on 35 tumour and 39 normal tissues. The effects of normalisers on the relative quantity of established oncogenic (miR-21 and miR-31) and tumour suppressor (miR-143 and miR-145) target miRNAs were assessed. RESULTS: In the array experiment, miR-26a, miR-345, miR-425 and miR-454 were identified as having expression profiles closest to the global mean. From a panel of six miRNAs (let-7a, miR-16, miR-26a, miR-345, miR-425 and miR-454) and two small nucleolar RNA genes (RNU48 and Z30), miR-16 and miR-345 were identified as the most stably expressed reference genes. The combined use of miR-16 and miR-345 to normalise expression data enabled detection of a significant dysregulation of all four target miRNAs between tumour and normal colorectal tissue. CONCLUSIONS: Our study demonstrates that the top six most

  13. MICROARRAY ANALYSIS OF DIFFERENT GENE EXPRESSION OF HUMAN CERVICAL CANCER SUBCLONE CELL LINES

    Institute of Scientific and Technical Information of China (English)

    Chen Wei; Li Xu; Wang Xiang

    2006-01-01

    Objective To examine the differentially expressed invasion-related genes in two anchorage-independent uterine cervical carcinoma cell lines derived from the same patient using a cDNA array. Methods Two human uterine cervical carcinoma subclonal cell lines CS03 and CS07 derived from a single donor line CS1213 were established by limited dilution procedure. The two cDNA samples retro-transcribed from total RNA derived from CS03 and CS07 cells were screened by a cDNA microarray carrying 234 human cell-cycle related genes and 1011 human signal transduction and membrane receptor -associated genes, scanned with a ScanArray 3000 laser scanner. Results The cDNA microarray analysis showed that 12 genes in CS03 were up-regulated compared to CS07, and 24 genes in CS07 were up-regulated. The function of a number of differentially expressed genes was consistently associated with cell-cycle, cell proliferation, migration, apoptosis, signal transduction and tumor metastasis, including p34cdc2, TSC22, plasminogen activator inhibitor I (PAI-1)and desmosome associated protein(Pinin). Conclusion Multiple genes are differentially expressed in uterine cervical carcinoma cell lines even came from the same patient. It is suggested that these genes are involved in the different phenotypic characteristics and development of cervical carcinoma.

  14. Bridging cancer biology with the clinic: relative expression of a GRHL2-mediated gene-set pair predicts breast cancer metastasis.

    Directory of Open Access Journals (Sweden)

    Xinan Yang

    Full Text Available Identification and characterization of crucial gene target(s that will allow focused therapeutics development remains a challenge. We have interrogated the putative therapeutic targets associated with the transcription factor Grainy head-like 2 (GRHL2, a critical epithelial regulatory factor. We demonstrate the possibility to define the molecular functions of critical genes in terms of their personalized expression profiles, allowing appropriate functional conclusions to be derived. A novel methodology, relative expression analysis with gene-set pairs (RXA-GSP, is designed to explore the potential clinical utility of cancer-biology discovery. Observing that Grhl2-overexpression leads to increased metastatic potential in vitro, we established a model assuming Grhl2-induced or -inhibited genes confer poor or favorable prognosis respectively for cancer metastasis. Training on public gene expression profiles of 995 breast cancer patients, this method prioritized one gene-set pair (GRHL2, CDH2, FN1, CITED2, MKI67 versus CTNNB1 and CTNNA3 from all 2717 possible gene-set pairs (GSPs. The identified GSP significantly dichotomized 295 independent patients for metastasis-free survival (log-rank tested p = 0.002; severe empirical p = 0.035. It also showed evidence of clinical prognostication in another independent 388 patients collected from three studies (log-rank tested p = 3.3e-6. This GSP is independent of most traditional prognostic indicators, and is only significantly associated with the histological grade of breast cancer (p = 0.0017, a GRHL2-associated clinical character (p = 6.8e-6, Spearman correlation, suggesting that this GSP is reflective of GRHL2-mediated events. Furthermore, a literature review indicates the therapeutic potential of the identified genes. This research demonstrates a novel strategy to integrate both biological experiments and clinical gene expression profiles for extracting and elucidating the genomic

  15. The effect of anastrozole on mRNA expression of oestrogen related gene in MCF-7 breast cancer cells

    Institute of Scientific and Technical Information of China (English)

    SONG Zhang-jun; WU Yi; MA Qing-yong

    2006-01-01

    Objective: To look for additional markers of molecular biology response to anastrozole, a new aromatase inhibitor, on the growth and mRNA expression level of MCF-7 cell. Methods: We investigated the effect of anastrzole on growth and gene expression in the human breast cancer cell line MCF-7and compared with the most widely used antiestrogen tamoxifen. We chose 4 genes to examine regulation of gene expression of estrogen regulated genes: PR A, PR B, ErbB-2 and cyclin D1. Results: Compared with the tamoxifen, a statistically significant growth inhibition was observed with anastrozole. The PRA,PR B and cyclin D1 mRNA level in anastrozole treated cells was sigificantly below the level in tamoxifen treated cells (P<0. 05). They had agonistic effect on ErbB gene (P>0.05). Conclusion: The third generation of aromatase inhibitors anastrozole exert more inhibit function in some expression of estrogen regulated genes than tomoxifen in MCF-7 cell line.

  16. Validation of proposed prostate cancer biomarkers with gene expression data: a long road to travel.

    Science.gov (United States)

    Amaro, Adriana; Esposito, Alessia Isabella; Gallina, Anna; Nees, Matthias; Angelini, Giovanna; Albini, Adriana; Pfeffer, Ulrich

    2014-09-01

    Biomarkers are important for early detection of cancer, prognosis, response prediction, and detection of residual or relapsing disease. Special attention has been given to diagnostic markers for prostate cancer since it is thought that early detection and surgery might reduce prostate cancer-specific mortality. The use of prostate-specific antigen, PSA (KLK3), has been debated on the base of cohort studies that show that its use in preventive screenings only marginally influences mortality from prostate cancer. Many groups have identified alternative or additional markers, among which PCA3, in order to detect early prostate cancer through screening, to distinguish potentially lethal from indolent prostate cancers, and to guide the treatment decision. The large number of markers proposed has led us to the present study in which we analyze these indicators for their diagnostic and prognostic potential using publicly available genomic data. We identified 380 markers from literature analysis on 20,000 articles on prostate cancer markers. The most interesting ones appeared to be claudin 3 (CLDN3) and alpha-methysacyl-CoA racemase highly expressed in prostate cancer and filamin C (FLNC) and keratin 5 with highest expression in normal prostate tissue. None of the markers proposed can compete with PSA for tissue specificity. The indicators proposed generally show a great variability of expression in normal and tumor tissue or are expressed at similar levels in other tissues. Those proposed as prognostic markers distinguish cases with marginally different risk of progression and appear to have a clinically limited use. We used data sets sampling 152 prostate tissues, data sets with 281 prostate cancers analyzed by microarray analysis and a study of integrated genomics on 218 cases to develop a multigene score. A multivariate model that combines several indicators increases the discrimination power but does not add impressively to the information obtained from Gleason

  17. Inhibition of Histone Deacetylation and DNA Methylation Improves Gene Expression Mediated by the Adeno-Associated Virus/Phage in Cancer Cells

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    Amin Hajitou

    2013-10-01

    Full Text Available Bacteriophage (phage, viruses that infect bacteria only, have become promising vectors for targeted systemic delivery of genes to cancer, although, with poor efficiency. We previously designed an improved phage vector by incorporating cis genetic elements of adeno-associated virus (AAV. This novel AAV/phage hybrid (AAVP specifically targeted systemic delivery of therapeutic genes into tumors. To advance the AAVP vector, we recently introduced the stress-inducible Grp78 tumor specific promoter and found that this dual tumor-targeted AAVP provides persistent gene expression, over time, in cancer cells compared to silenced gene expression from the CMV promoter in the parental AAVP. Herein, we investigated the effect of histone deacetylation and DNA methylation on AAVP-mediated gene expression in cancer cells and explored the effect of cell confluence state on AAVP gene expression efficacy. Using a combination of AAVP expressing the GFP reporter gene, flow cytometry, inhibitors of histone deacetylation, and DNA methylation, we have demonstrated that histone deacetylation and DNA methylation are associated with silencing of gene expression from the CMV promoter in the parental AAVP. Importantly, inhibitors of histone deacetylases boost gene expression in cancer cells from the Grp78 promoter in the dual tumor-targeted AAVP. However, cell confluence had no effect on AAVP-guided gene expression. Our findings prove that combination of histone deacetylase inhibitor drugs with the Grp78 promoter is an effective approach to improve AAVP-mediated gene expression in cancer cells and should be considered for AAVP-based clinical cancer gene therapy.

  18. Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer | Office of Cancer Genomics

    Science.gov (United States)

    Inherited germline polymorphisms can cause gene expression levels in normal tissues to differ substantially between individuals. We present an analysis of the genetic architecture of normal adult skin from 470 genetically unique mice, demonstrating the effect of germline variants, skin tissue location, and perturbation by exogenous inflammation or tumorigenesis on gene signaling pathways.

  19. Iodine-131 dose dependent gene expression in thyroid cancers and corresponding normal tissues following the Chernobyl accident.

    Directory of Open Access Journals (Sweden)

    Michael Abend

    Full Text Available The strong and consistent relationship between irradiation at a young age and subsequent thyroid cancer provides an excellent model for studying radiation carcinogenesis in humans. We thus evaluated differential gene expression in thyroid tissue in relation to iodine-131 (I-131 doses received from the Chernobyl accident. Sixty three of 104 papillary thyroid cancers diagnosed between 1998 and 2008 in the Ukrainian-American cohort with individual I-131 thyroid dose estimates had paired RNA specimens from fresh frozen tumor (T and normal (N tissue provided by the Chernobyl Tissue Bank and satisfied quality control criteria. We first hybridized 32 randomly allocated RNA specimen pairs (T/N on 64 whole genome microarrays (Agilent, 4×44 K. Associations of differential gene expression (log(2(T/N with dose were assessed using Kruskall-Wallis and trend tests in linear mixed regression models. While none of the genes withstood correction for the false discovery rate, we selected 75 genes with a priori evidence or P kruskall/P trend <0.0005 for validation by qRT-PCR on the remaining 31 RNA specimen pairs (T/N. The qRT-PCR data were analyzed using linear mixed regression models that included radiation dose as a categorical or ordinal variable. Eleven of 75 qRT-PCR assayed genes (ACVR2A, AJAP1, CA12, CDK12, FAM38A, GALNT7, LMO3, MTA1, SLC19A1, SLC43A3, ZNF493 were confirmed to have a statistically significant differential dose-expression relationship. Our study is among the first to provide direct human data on long term differential gene expression in relation to individual I-131 doses and to identify a set of genes potentially important in radiation carcinogenesis.

  20. RUNX1 and FOXP3 interplay regulates expression of breast cancer related genes

    Science.gov (United States)

    Recouvreux, María Sol; Grasso, Esteban Nicolás; Echeverria, Pablo Christian; Rocha-Viegas, Luciana; Castilla, Lucio Hernán; Schere-Levy, Carolina; Tocci, Johanna Melisa; Kordon, Edith Claudia; Rubinstein, Natalia

    2016-01-01

    Runx1 participation in epithelial mammary cells is still under review. Emerging data indicates that Runx1 could be relevant for breast tumor promotion. However, to date no studies have specifically evaluated the functional contribution of Runx1 to control gene expression in mammary epithelial tumor cells. It has been described that Runx1 activity is defined by protein context interaction. Interestingly, Foxp3 is a breast tumor suppressor gene. Here we show that endogenous Runx1 and Foxp3 physically interact in normal mammary cells and this interaction blocks Runx1 transcriptional activity. Furthermore we demonstrate that Runx1 is able to bind to R-spondin 3 (RSPO3) and Gap Junction protein Alpha 1 (GJA1) promoters. This binding upregulates Rspo3 oncogene expression and downregulates GJA1 tumor suppressor gene expression in a Foxp3-dependent manner. Moreover, reduced Runx1 transcriptional activity decreases tumor cell migration properties. Collectively, these data provide evidence of a new mechanism for breast tumor gene expression regulation, in which Runx1 and Foxp3 physically interact to control mammary epithelial cell gene expression fate. Our work suggests for the first time that Runx1 could be involved in breast tumor progression depending on Foxp3 availability. PMID:26735887

  1. Study on the protein expression and amplification of HER2 gene in gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Sunan Wang; Yingying Li; Zhengshun Xu; Wenzhao Zhao; Tian Yun; Wuling Zhu; Yangkun Wang

    2014-01-01

    Objective:The aim of the study was to investigate the human epidermal growth factor receptor 2 (HER2) gene amplification and protein expression and interpretation points in the stomach mixed carcinomas. Methods:Immunohisto-chemistry (IHC) and fluorescence in situ hybridization (FISH) technique were used to detect HER2 gene amplification and ex-pression of HER2 protein in 442 cases of gastric mixed carcinoma. Results:The expression rate of HER2 protein was 41.2%(182/442):the HER2 protein expression IHC 3+extensive type in 18 cases, partial type in 21 cases, focal type in 8 cases, accounting for 10.6%(47/442);the HER2 protein expression IHC 2+extensive type in 23 cases, partial type in 28 cases, focal type in 11 cases, accounting for 14.0%(62/442);the HER2 protein expression IHC 1+extensive type in 27 cases, partial type in 31 cases, focal type in 15 cases, accounting for 16.5%(73/442). HER2 gene amplification rate of 442 cases was 16.1%(71/442). In 182 cases of HER2 protein positive expression, the HER2 gene cluster amplification rate was 14.8%(27/182), large granular amplification rate 11.0%(20/182), punctate amplification rate 6.0%(11/182) and high polysomy 7.1%(13/182). In 71 cases of HER2 gene amplification, there was 42 cases of HER2 protein expression IHC 3+, 22 cases of HER2 protein expression IHC 2+, and 7 cases of IHC 1+. Conclusion:HER2 detection of gastric mixed carcinoma has great heterogeneity, HER2 protein positive expression is divided into extensive type, partial type and focal type, and HER2 gene positive amplifica-tion is divided into cluster amplification, large granular amplification, punctate amplification and high polysomy. These typing of HER2 protein expression and HER2 gene amplification provide reference index to quantify for targeted therapeutic ef ect of anticancer drugs.

  2. Comparison of Inhibitory Effect of Curcumin Nanoparticles and Free Curcumin in Human Telomerase Reverse Transcriptase Gene Expression in Breast Cancer

    Directory of Open Access Journals (Sweden)

    Nosratollah Zarghami

    2013-02-01

    Full Text Available Purpose: Telomerase is expressed in most cancers, including breast cancer. Curcumin, a polyphenolic compound that obtained from the herb of Curcuma longa, has many anticancer effects. But, its effect is low due to poor water solubility. In order to improve its solubility and drug delivery, we have utilized a β-cyclodextrin-curcumin inclusion complex. Methods: To evaluate cytotoxic effects of cyclodextrin-curcumin and free curcumin, MTT assay was done. Cells were treated with equal concentration of cyclodextrin-curcumin and free curcumin. Telomerase gene expression level in two groups was compared by Real-time PCR. Results: MTT assay demonstrated that β-cyclodextrin-curcumin enhanced curcumin delivery in T47D breast cancer cells. The level of telomerase gene expression in cells treated with cyclodextrin-curcumin was lower than that of cells treated with free curcumin (P=0.001. Conclusion: Results are suggesting that cyclodextrin-curcumin complex can be more effective than free curcumin in inhibition of telomerase expression.

  3. Integrated Analysis of Genome-Wide Copy Number Alterations and Gene Expression Profiling of Lung Cancer in Xuanwei, China

    Science.gov (United States)

    Zhang, Yanliang; Xue, Qiuyue; Pan, Guoqing; Meng, Qing H.; Tuo, Xiaoyu; Cai, Xuemei; Chen, Zhenghui; Li, Ya; Huang, Tao; Duan, Xincen; Duan, Yong

    2017-01-01

    Objectives Lung cancer in Xuanwei (LCXW), China, is known throughout the world for its distinctive characteristics, but little is known about its pathogenesis. The purpose of this study was to screen potential novel “driver genes” in LCXW. Methods Genome-wide DNA copy number alterations (CNAs) were detected by array-based comparative genomic hybridization and differentially expressed genes (DEGs) by gene expression microarrays in 8 paired LCXW and non-cancerous lung tissues. Candidate driver genes were screened by integrated analysis of CNAs and DEGs. The candidate genes were further validated by real-time quantitative polymerase chain reaction. Results Large numbers of CNAs and DEGs were detected, respectively. Some of the most frequently occurring CNAs included gains at 5p15.33-p15.32, 5p15.1-p14.3, and 5p14.3-p14.2 and losses at 11q24.3, 21q21.1, 21q22.12-q22.13, and 21q22.2. Integrated analysis of CNAs and DEGs identified 24 candidate genes with frequent copy number gains and concordant upregulation, which were considered potential oncogenes, including CREB3L4, TRIP13, and CCNE2. In addition, the analysis identified 19 candidate genes with a negative association between copy number change and expression change, considered potential tumor suppressor genes, including AHRR, NKD2, and KLF10. One of the most studied oncogenes, MYC, may not play a carcinogenic role in LCXW. Conclusions This integrated analysis of CNAs and DEGs identified several potential novel LCXW-related genes, laying an important foundation for further research on the pathogenesis of LCXW and identification of novel biomarkers or therapeutic targets. PMID:28056099

  4. MICROARRAY ANALYSIS OF DIFFERENT GENE EXPRESSION OF HUMAN CERVICAL CANCER SUBCLONE CELL LINES

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Cervical cancer is the main cause of death inwomen.The influence of HPV plays an i mportantrole incervial cancer.It has been provedthat humanpapillomavirus(HPV)infectionis ani mportant fac-tor in cervical carcinogenesis.Multiple HPVinfec-tion was associated less frequently with cervical car-cinoma and with precancerous lesions compared withnor mal cytology[1].The activation of oncogene,in-activition of tumor suppressor gene and instabilityof genome are also majority reason.We establisheda cell line of human...

  5. Change in expression of apoptosis genes after hyperthermia, chemotherapy and radiotherapy in human colon cancer transplanted into nude mice

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    AIM: To investigate the change in expression of p53, Bcl-2, and Bax genes in human colon cancer cells transplanted into nude mice after hyperthermia,chemotherapy, radiotherapy, thermochemotherapy,thermoradiotherapy and thermochemoradiotherapy.METHODS: Human colon cancer cell line (HT29)was transplanted into the hind limbs of nude mice.Under laboratory simulated conditions of hyperthermia (43℃, 60 min), the actual radiation doses and doses of mitomycin C (MMC) were calculated in reference to the clinical radiotherapy for human rectal cancer and chemotherapy prescription for colon cancer. The mice were divided into 6 groups according to the treatment approaches: hyperthermia, chemotherapy,radiotherapy, thermochemotherapy, thermoradiotherapy,and thermochemoradiotherapy. The mice were sacrificed at different time points and the tumor tissue was taken for further procedures. The morphologic changes in membrane, cytoplasm and nuclei of tumor cells of p53, Bcl-2, and Bax after treatment, were observed by immunohistochemistry staining.RESULTS: All of the six treatment modalities downregulated the expression of p53, Bcl-2 and up-regulated the expression of Bax at different levels. The combined therapy of hyperthermia, with chemotherapy, and/or irradiation showed a greater effect on down-regulating the expression of p53 (0.208 ± 0.009 vs 0.155 ± 0.0115,P < 0.01) and Bcl-2 (0.086 ± 0.010 vs 0.026 ± 0.0170,P < 0.01) and up-regulating Bax expression (0.091 ±0.0013 vs 0.207 ±0.027, P < 0.01) compared with any single therapy.CONCLUSION: Hyperthermia enhances the effect of radio- and chemotherapy on tumors by changing the expression of apoptosis genes, such as p53, Bcl-2 and Bax.

  6. Quantitative Detection of Interleukin 8 Gene Expression in Lung Cancer by Real-time Polymerase Chain Reaction

    Institute of Scientific and Technical Information of China (English)

    JianzhongSu; QianggangDong; JinsuHuang; GuoliangBao

    2004-01-01

    OBJECTIVE To develop a method for absolute quantification of interleukin 8 (IL-8) mRNA by using real-time polymerase chain reaction (PCR). METHODS The IL-8 mRNA and protein expression in 2 human lung cancer cell lines, H460 and A549, were evaluated by real-time PCR and ELISA. The IL-8 mRNA expression in 9 cases of normal lung tissue and 44 cases of non-small cell lung cancer (NSCLC) were examined. RESULTS The IL-8 mRNA copy number in a given sample can be measured by real-time PCR. The gene expression of IL-8 is correlated with its protein secretion. The normalized value of IL-8 expression was 4.87+1.69 (copies/104 GAPDH copies) in normal lung tissue and 17.04±23.96 in NSCLC, respectively. The difference between these two groups is statistically significant (P=0.002). Using 9.74 and 19.48 as cut-off points for positive expression and overexpression of IL-8, 52.3%(23/44cases) of NSCLC were found to express an increased level of IL-8, among which 29.5% (13/44cases) were defined as positive expression and 22.7% (10/44cases) as overexpression. Statistical analysis indicated that IL-8 overexpression was significantly increased in female cancers, squamous carcinoma, and in late stages of disease (P<0.05). CONCLUSION The IL-8 gene expression can be determined by a real-time PCR technique. IL-8 overexpression is correlated with gender, histopathology and stages of the disease.

  7. Sarcosine Up-Regulates Expression of Genes Involved in Cell Cycle Progression of Metastatic Models of Prostate Cancer

    Science.gov (United States)

    Heger, Zbynek; Merlos Rodrigo, Miguel Angel; Michalek, Petr; Polanska, Hana; Masarik, Michal; Vit, Vitezslav; Plevova, Mariana; Pacik, Dalibor; Eckschlager, Tomas; Stiborova, Marie

    2016-01-01

    The effects of sarcosine on the processes driving prostate cancer (PCa) development remain still unclear. Herein, we show that a supplementation of metastatic PCa cells (androgen independent PC-3 and androgen dependent LNCaP) with sarcosine stimulates cells proliferation in vitro. Similar stimulatory effects were observed also in PCa murine xenografts, in which sarcosine treatment induced a tumor growth and significantly reduced weight of treated mice (p < 0.05). Determination of sarcosine metabolism-related amino acids and enzymes within tumor mass revealed significantly increased glycine, serine and sarcosine concentrations after treatment accompanied with the increased amount of sarcosine dehydrogenase. In both tumor types, dimethylglycine and glycine-N-methyltransferase were affected slightly, only. To identify the effects of sarcosine treatment on the expression of genes involved in any aspect of cancer development, we further investigated expression profiles of excised tumors using cDNA electrochemical microarray followed by validation using the semi-quantitative PCR. We found 25 differentially expressed genes in PC-3, 32 in LNCaP tumors and 18 overlapping genes. Bioinformatical processing revealed strong sarcosine-related induction of genes involved particularly in a cell cycle progression. Our exploratory study demonstrates that sarcosine stimulates PCa metastatic cells irrespectively of androgen dependence. Overall, the obtained data provides valuable information towards understanding the role of sarcosine in PCa progression and adds another piece of puzzle into a picture of sarcosine oncometabolic potential. PMID:27824899

  8. Weighted gene co-expression network analysis in identification of metastasis-related genes of lung squamous cell carcinoma based on the Cancer Genome Atlas database

    Science.gov (United States)

    Tian, Feng; Zhao, Jinlong; Kang, Zhenxing

    2017-01-01

    Background Lung squamous cell carcinoma (lung SCC) is a common type of malignancy. Its pathogenesis mechanism of tumor development is unclear. The aim of this study was to identify key genes for diagnosis biomarkers in lung SCC metastasis. Methods We searched and downloaded mRNA expression data and clinical data from The Cancer Genome Atlas (TCGA) database to identify differences in mRNA expression of primary tumor tissues from lung SCC with and without metastasis. Gene co-expression network analysis, protein-protein interaction (PPI) network, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and quantitative real-time polymerase chain reactions (qRT-PCR) were used to explore the biological functions of the identified dysregulated genes. Results Four hundred and eighty-two differentially expressed genes (DEGs) were identified between lung SCC with and without metastasis. Nineteen modules were identified in lung SCC through weighted gene co-expression network analysis (WGCNA). Twenty-three DEGs and 26 DEGs were significantly enriched in the respective pink and black module. KEGG pathway analysis displayed that 26 DEGs in the black module were significantly enriched in bile secretion pathway. Forty-nine DEGs in the two gene co-expression module were used to construct PPI network. CFTR in the black module was the hub protein, had the connectivity with 182 genes. The results of qRT-PCR displayed that FIGF, SFTPD, DYNLRB2 were significantly down-regulated in the tumor samples of lung SCC with metastasis and CFTR, SCGB3A2, SSTR1, SCTR, ROPN1L had the down-regulation tendency in lung SCC with metastasis compared to lung SCC without metastasis. Conclusions The dysregulated genes including CFTR, SCTR and FIGF might be involved in the pathology of lung SCC metastasis and could be used as potential diagnosis biomarkers or therapeutic targets for lung SCC.

  9. Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer

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    David A. Quigley

    2016-07-01

    Full Text Available Inherited germline polymorphisms can cause gene expression levels in normal tissues to differ substantially between individuals. We present an analysis of the genetic architecture of normal adult skin from 470 genetically unique mice, demonstrating the effect of germline variants, skin tissue location, and perturbation by exogenous inflammation or tumorigenesis on gene signaling pathways. Gene networks related to specific cell types and signaling pathways, including sonic hedgehog (Shh, Wnt, Lgr family stem cell markers, and keratins, differed at these tissue sites, suggesting mechanisms for the differential susceptibility of dorsal and tail skin to development of skin diseases and tumorigenesis. The Pten tumor suppressor gene network is rewired in premalignant tumors compared to normal tissue, but this response to perturbation is lost during malignant progression. We present a software package for expression quantitative trait loci (eQTL network analysis and demonstrate how network analysis of whole tissues provides insights into interactions between cell compartments and signaling molecules.

  10. Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.

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    Valeria Musella

    Full Text Available BACKGROUND: Genome-wide gene expression analyses of tumors are a powerful tool to identify gene signatures associated with biologically and clinically relevant characteristics and for several tumor types are under clinical validation by prospective trials. However, handling and processing of clinical specimens may significantly affect the molecular data obtained from their analysis. We studied the effects of tissue handling time on gene expression in human normal and tumor colon tissues undergoing routine surgical procedures. METHODS: RNA extracted from specimens of 15 patients at four time points (for a total of 180 samples after surgery was analyzed for gene expression on high-density oligonucleotide microarrays. A mixed-effects model was used to identify probes with different expression means across the four different time points. The p-values of the model were adjusted with the Bonferroni method. RESULTS: Thirty-two probe sets associated with tissue handling time in the tumor specimens, and thirty-one in the normal tissues, were identified. Most genes exhibited moderate changes in expression over the time points analyzed; however four of them were oncogenes, and two confirmed the effect of tissue handling by independent validation. CONCLUSIONS: Our results suggest that a critical time point for tissue handling in colon seems to be 60 minutes at room temperature. Although the number of time-dependent genes we identified was low, the three genes that already showed changes at this time point in tumor samples were all oncogenes, hence recommending standardization of tissue-handling protocols and effort to reduce the time from specimen removal to snap freezing accounting for warm ischemia in this tumor type.

  11. Specific genes involved in synthesis and editing of heparan sulfate proteoglycans show altered expression patterns in breast cancer

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    Fernández-Vega Iván

    2013-01-01

    Full Text Available Abstract Background The expression of a specific set of genes controls the different structures of heparan sulfate proteoglycans (HSPGs, which are involved in the growth, invasion and metastatic properties of cancerous cells. The purpose of this study is to increase knowledge of HSPG alterations in breast cancer. Methods Twenty-three infiltrating ductal adenocarcinomas (IDCs, both metastatic and non-metastatic were studied. A transcriptomic approach to the structure of heparan sulfate (HS chains was used, employing qPCR to analyze both the expression of the enzymes involved in their biosynthesis and editing, as well as the proteoglycan core proteins. Since some of these proteoglycans can also carry chondroitin sulfate chains, we extended the study to include the genes involved in the biosynthesis of these glycosaminoglycans. Histochemical techniques were also used to analyze tissular expression of particular genes showing significant expression differences, of potential interest. Results No significant change in transcription was detected in approximately 70% of analyzed genes. However, 13 demonstrated changes in both tumor types (40% showing more intense deregulation in the metastatic, while 5 genes showed changes only in non-metastatic tumors. Changes were related to 3 core proteins: overexpression of syndecan-1 and underexpression of glypican-3 and perlecan. HS synthesis was affected by lower levels of some 3-O-sulfotransferase transcripts, the expression of NDST4 and, only in non metastatic tumors, higher levels of extracellular sulfatases. Furthermore, the expression of chondroitin sulfate also was considerably affected, involving both the synthesis of the saccharidic chains and sulfations at all locations. However, the pro-metastatic enzyme heparanase did not exhibit significant changes in mRNA expression, although in metastatic tumors it appeared related to increased levels of the most stable form of mRNA. Finally, the expression of

  12. Differential gene expression in colon cancer of the caecum versus the sigmoid and rectosigmoid

    DEFF Research Database (Denmark)

    Birkenkamp-Demtroder, K; Olesen, S H; Sørensen, Flemming Brandt;

    2005-01-01

    BACKGROUND AND AIMS: There are epidemiological, morphological, and molecular differences between normal mucosa as well as between adenocarcinomas of the right and left side of the large bowel. The aim of this study was to investigate differences in gene expression. METHODS: Oligonucleotide...... or left sided tumours of the colon, showing more pronounced differences in Dukes' C than B tumours. Thirty genes differentially expressed in tumour tissue were common to adenocarcinomas of both sides, including known tumour markers such as the matrix metalloproteinases. Keratins 8, 19, and 20 as well...

  13. The Bimodality Index: A Criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data

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    Jing Wang

    2009-01-01

    Full Text Available Motivation: Identifying genes with bimodal expression patterns from large-scale expression profiling data is an important analytical task. Model-based clustering is popular for this purpose. That technique commonly uses the Bayesian information criterion (BIC for model selection. In practice, however, BIC appears to be overly sensitive and may lead to the identification of bimodally expressed genes that are unreliable or not clinically useful. We propose using a novel criterion, the bimodality index, not only to identify but also to rank meaningful and reliable bimodal patterns. The bimodality index can be computed using either a mixture model-based algorithm or Markov chain Monte Carlo techniques.Results: We carried out simulation studies and applied the method to real data from a cancer gene expression profiling study. Our findings suggest that BIC behaves like a lax cutoff based on the bimodality index, and that the bimodality index provides an objective measure to identify and rank meaningful and reliable bimodal patterns from large-scale gene expression datasets. R code to compute the bimodality index is included in the ClassDiscovery package of the Object-Oriented Microarray and Proteomic Analysis (OOMPA suite available at the web site http://bioinformatics.mdanderson.org/Software/OOMPA.

  14. Gene-expression signature predicts postoperative recurrence in stage I non-small cell lung cancer patients.

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    Yan Lu

    Full Text Available About 30% stage I non-small cell lung cancer (NSCLC patients undergoing resection will recur. Robust prognostic markers are required to better manage therapy options. The purpose of this study is to develop and validate a novel gene-expression signature that can predict tumor recurrence of stage I NSCLC patients. Cox proportional hazards regression analysis was performed to identify recurrence-related genes and a partial Cox regression model was used to generate a gene signature of recurrence in the training dataset -142 stage I lung adenocarcinomas without adjunctive therapy from the Director's Challenge Consortium. Four independent validation datasets, including GSE5843, GSE8894, and two other datasets provided by Mayo Clinic and Washington University, were used to assess the prediction accuracy by calculating the correlation between risk score estimated from gene expression and real recurrence-free survival time and AUC of time-dependent ROC analysis. Pathway-based survival analyses were also performed. 104 probesets correlated with recurrence in the training dataset. They are enriched in cell adhesion, apoptosis and regulation of cell proliferation. A 51-gene expression signature was identified to distinguish patients likely to develop tumor recurrence (Dxy = -0.83, P85%. Multiple pathways including leukocyte transendothelial migration and cell adhesion were highly correlated with recurrence-free survival. The gene signature is highly predictive of recurrence in stage I NSCLC patients, which has important prognostic and therapeutic implications for the future management of these patients.

  15. Expression of novel genes linked to the androgen-induced, proliferative shutoff in prostate cancer cells.

    Science.gov (United States)

    Geck, P; Szelei, J; Jimenez, J; Lin, T M; Sonnenschein, C; Soto, A M

    1997-01-01

    Androgens control cell numbers in the prostate through three separate pathways: (a) inhibition of cell death, (b) induction of cell proliferation (Step-1) and (c) inhibition of cell proliferation (Step-2, proliferative shutoff). The mechanisms underlying these phenomena are incompletely understood. The human prostate carcinoma LNCaP variants express these pathways as follows: LNCaP-FGC express both steps, LNCaP-LNO expresses Step-2, LNCaP-TAC expresses Step-1, and LNCaP-TJA cells express neither step. These cells facilitated the search for mediators of the androgen-induced proliferative shutoff pathway. Androgen exposure for 24 h or longer induced an irreversible proliferative shutoff in LNCaP-FGC cells. The Wang and Brown approach for identifying differentially expressed mRNAs was used to search for mediators of Step-2. Ten unique inserts were identified and from those ten, three genes were further studied. The basal expression of these genes in shutoff-negative variants was not affected by androgen exposure. They were induced by androgens in shutoff-positive LNCaP variants and the androgen receptor-transfected, shutoff-positive, MCF7-AR1 cells. These genes were induced only in the range of androgen concentrations that elicited the shutoff response. Time course analysis showed that their induction precedes the commitment point by 12-18 h. In addition, they were expressed in the normal prostate during proliferative shutoff. These features suggest that the candidate genes have a role in the regulation cascade for proliferative shutoff.

  16. Spontaneously immortalised bovine mammary epithelial cells exhibit a distinct gene expression pattern from the breast cancer cells

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    Li Qianqian

    2010-10-01

    Full Text Available Abstract Background Spontaneous immortalisation of cultured mammary epithelial cells (MECs is an extremely rare event, and the molecular mechanism behind spontaneous immortalisation of MECs is unclear. Here, we report the establishment of a spontaneously immortalised bovine mammary epithelial cell line (BME65Cs and the changes in gene expression associated with BME65Cs cells. Results BME65Cs cells maintain the general characteristics of normal mammary epithelial cells in morphology, karyotype and immunohistochemistry, and are accompanied by the activation of endogenous bTERT (bovine Telomerase Reverse Transcriptase and stabilisation of the telomere. Currently, BME65Cs cells have been passed for more than 220 generations, and these cells exhibit non-malignant transformation. The expression of multiple genes was investigated in BME65Cs cells, senescent BMECs (bovine MECs cells, early passage BMECs cells and MCF-7 cells (a human breast cancer cell line. In comparison with early passage BMECs cells, the expression of senescence-relevant apoptosis-related gene were significantly changed in BME65Cs cells. P16INK4a was downregulated, p53 was low expressed and Bax/Bcl-2 ratio was reversed. Moreover, a slight upregulation of the oncogene c-Myc, along with an undetectable level of breast tumor-related gene Bag-1 and TRPS-1, was observed in BME65Cs cells while these genes are all highly expressed in MCF-7. In addition, DNMT1 is upregulated in BME65Cs. These results suggest that the inhibition of both senescence and mitochondrial apoptosis signalling pathways contribute to the immortality of BME65Cs cells. The expression of p53 and p16INK4a in BME65Cs was altered in the pattern of down-regulation but not "loss", suggesting that this spontaneous immortalization is possibly initiated by other mechanism rather than gene mutation of p53 or p16INK4a. Conclusions Spontaneously immortalised BME65Cs cells maintain many characteristics of normal BMEC cells and

  17. Expression of TIMP-3 Gene by Construction of a Eukaryotic Cell Expression Vector and Its Role in Reduction of Metastasis in a Human Breast Cancer Cell Line

    Institute of Scientific and Technical Information of China (English)

    Xichun Han; Hong Zhang; Mingku Jia; Gang Han; Weidong Jiang

    2004-01-01

    The present study is aimed at studying the gene for TIMP-3, a mammalian tissue inhibitor, by constructing a recombinant eukaryotic cell vector for gene therapy in human breast cancer. We obtained the TIMP-3 gene from the human placent by RT-PCR. TIMP-3 gene was subcloned into pcDNA3.1 vetor from pMD18T vector by means of gene cloning to construct pcDNA3.1 recombinant vector. Human breast cancer cell line MDA-MB-453 was transfected with pcDNA3.1-TIMP3 recombinant vector using lipofectamine reagent. Then the expression of TIMP-3 and the effect on the metastasis of MDA-MB-453 were examined. The correct construction of pcDNA-TIMP3 was identified by means of restriction enzyme analysis, PCR amplication and nucleotide sequencing. Western blotting showed that the transfected cells were able to express TIMP-3,indicating that our construction of the pcDNA-TIMP3 eukaryotic expression vector was constructed successfully. Our experiments further indicated that the potential of metastasis was significantly reduced for the transfected cell line MDA-MB-453.

  18. Expression of TIMP-3 Gene by Construction of a Eukaryotic Cell Expression Vector and Its Role in Reduction of Metastasis in a Human Breast Cancer Cell Line

    Institute of Scientific and Technical Information of China (English)

    XichunHan; HongZhang; MingkuJia; GangHan; WeidongJiang

    2004-01-01

    The present study is aimed at studying the gene for TIMP-3, a mammalian tissue inhibitor, by constructing a recombinant eukaryotic cell vector for gene therapy in human breast cancer. We obtained the TIMP-3 gene from the human placent by RT-PCR. TIMP-3 gene was subcloned into pcDNA3.1 vetor from pMD18T vector by means of gene cloning to construct pcDNA3.1 recombinant vector. Human breast cancer cell lineMDA-MB-453 was transfected with pcDNA3.1-TIMP3 recombinant vector using lipofectamine reagent. Then the expression of TIMP-3 and the effect on the metastasis of MDA-MB-453 were examined. The correct construction of pcDNA-TIMP3 was identified by means of restriction enzyme analysis, PCR amplication and nucleotide sequencing. Western blotting showed that the transfected cells were able to express TIMP-3, indicating that our construction of the pcDNA-TIMP3 eukaryotic expression vector was constructed successfully. Our experiments further indicated that the potential of metastasis was significantly reduced for the transfected cell line MDA-MB-453. Cellular & Molecular Immunology.

  19. Inflammation, Adenoma and Cancer: Objective Classification of Colon Biopsy Specimens with Gene Expression Signature

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    Orsolya Galamb

    2008-01-01

    Full Text Available Gene expression analysis of colon biopsies using high-density oligonucleotide microarrays can contribute to the understanding of local pathophysiological alterations and to functional classification of adenoma (15 samples, colorectal carcinomas (CRC (15 and inflammatory bowel diseases (IBD (14. Total RNA was extracted, amplified and biotinylated from frozen colonic biopsies. Genome-wide gene expression profile was evaluated by HGU133plus2 microarrays and verified by RT-PCR. We applied two independent methods for data normalization and used PAM for feature selection. Leave one-out stepwise discriminant analysis was performed. Top validated genes included collagenIVα1, lipocalin-2, calumenin, aquaporin-8 genes in CRC; CD44, met proto-oncogene, chemokine ligand-12, ADAM-like decysin-1 and ATP-binding casette-A8 genes in adenoma; and lipocalin-2, ubiquitin D and IFITM2 genes in IBD. Best differentiating markers between Ulcerative colitis and Crohn's disease were cyclin-G2; tripartite motif-containing-31; TNFR shedding aminopeptidase regulator-1 and AMICA. The discriminant analysis was able to classify the samples in overall 96.2% using 7 discriminatory genes (indoleamine-pyrrole-2,3-dioxygenase, ectodermal-neural cortex, TIMP3, fucosyltransferase-8, collectin sub-family member 12, carboxypeptidase D, and transglutaminase-2. Using routine biopsy samples we successfully performed whole genomic microarray analysis to identify discriminative signatures. Our results provide further insight into the pathophysiological background of colonic diseases. The results set up data warehouse which can be mined further.

  20. Helicobacter pylori Infection Is Associated with Decreased Expression of SLC5A8, a Cancer Suppressor Gene, in Young Children

    Science.gov (United States)

    Orellana-Manzano, Andrea; O'Ryan, Miguel G.; Lagomarcino, Anne J.; George, Sergio; Muñoz, Mindy S.; Mamani, Nora; Serrano, Carolina A.; Harris, Paul R.; Ramilo, Octavio; Mejías, Asunción; Torres, Juan P.; Lucero, Yalda; Quest, Andrew F. G.

    2016-01-01

    Background: Helicobacter pylori infects half of the world's population and causes gastric cancer in a subset of infected adults. Previous blood microarray findings showed that apparently healthy children, persistently infected with H. pylori have differential gene expression compared to age-matched, non-infected children. SLC5A8, a cancer suppressor gene with decreased expression among infected children, was chosen for further study based on bioinformatics analysis. Methods: A pilot study was conducted using specific qRT-PCR amplification of SLC5A8 in blood samples from H. pylori infected and non-infected children, followed by a larger, blinded, case-control study. We then analyzed gastric tissue from H. pylori infected and non-infected children undergoing endoscopy for clinical purposes. Results: Demographics, clinical findings, and family history were similar between groups. SLC5A8 expression was decreased in infected vs. non-infected children in blood, 0.12 (IQR: 0–0.89) vs. 1.86 (IQR: 0–8.94, P = 0.002), and in gastric tissue, 0.08 (IQR: 0.04–0.15) vs. 1.88 (IQR: 0.55–2.56; P = 0.001). Children who were both stool positive and seropositive for H. pylori had the lowest SLC5A8 expression levels. Conclusions: H. pylori infection is associated with suppression of SCL5A8, a cancer suppressor gene, in both blood and tissue samples from young children. Key Points: Young children, persistently infected with Helicobacter pylori show decreased expression of SLC5A8 mRNA in both blood and tissue samples as compared to non-infected children. PMID:27777899

  1. Differential Gene Expression of BRCA1,ERBB2 and TP53 biomarkers between Human Breast Tissue and Peripheral Blood Samples of Breast Cancer.

    Science.gov (United States)

    Zghair, Abdulrazzaq Neamah; Sinha, Deepak Kumar; Kassim, Arkan; Alfaham, Mohmmad; Sharma, Anil K

    2016-01-01

    Breast cancer is a most common malignancy especially in Iraqi women accounting for high morbidity and mortality. Mutations in BRCA1 gene is one of the important genetic predisposing factors inbreast cancer. Similarly ERBB2 and TP53 are also key prognostic markers in breast cancer treatment.We were interested to explore the gene expression profiles of BRCA1, ERBB2 and TP53 in breast cancer women patients from Iraq so as to assess the potential of such markers in breast cancer treatment. The mRNA levels were significantly over-expressed in tumor tissues in comparison to normal ones with p values (pTP53 and benign tissue samples as well. However in blood samples, no considerable expression of these markers was observed. Out of three selected genes, ERBB2 expression was significantly expressed in comparison to BRCA1 and TP53 in cancer tissue. Mutation analysis of BRCA1, ERBB2 and TP53 has been made to find out the region most susceptible to mutations in these genes The BRCA1 exon 11, ERBB2 16 and TP53 exon 5 displayed increased chances of having mutations. We can conclude from the study that differential gene expression of BRCA1, ERBB2 and TP53 at mRNA levels may act as a diagnostic marker of circulating tumor cells having important prognostic value in breast cancer patients.

  2. Effect of hrHPV infection on anti-apoptotic gene and pro-apoptotic gene expression in cervical cancer tissue

    Institute of Scientific and Technical Information of China (English)

    Min-Er Tang

    2016-01-01

    Objective:To study the effect of hrHPV infection on anti-apoptotic gene and pro-apoptotic gene expression in cervical cancer tissue.Methods: A total of 56 patients with cervical cancer, 94 cases of patients with cervical intraepithelial neoplasia and 48 cases of patients with chronic cervicitis who were treated in our hospital from May 2013 to December 2015 were selected for study and included in malignant group, precancerous lesion group and benign group respectively. hrHPV infection as well as the expression of anti-apoptotic genes and pro-apoptotic genes in cervical tissue were detected.Results:hrHPV infection rate and viral load in cervical tissue of malignant group were significantly higher than those of precancerous lesion group and benign group; P27 and p16 levels in cervical tissue of malignant group were significantly lower than those of precancerous lesion group and benign group, and K-ras, c-myc, Prdx4 and TNFAIP8 levels were significantly higher than those of precancerous lesion group and benign group; the greater the HPV virus load, the lower the p27 and p16 levels and the higher the K-ras, c-myc, Prdx4 and TNFAIP8 levels in cervical tissue.Conclusions:hrHPV infection can result in tumor suppressor genes p27 and p16 expression deletion and increase the expression of proto-oncogene and apoptosis-inhibiting genes, and it is associated with the occurrence and development of cervical cancer.

  3. Genetic background may contribute to PAM50 gene expression breast cancer subtype assignments.

    Directory of Open Access Journals (Sweden)

    Ying Hu

    Full Text Available Recent advances in genome wide transcriptional analysis have provided greater insights into the etiology and heterogeneity of breast cancer. Molecular signatures have been developed that stratify the conventional estrogen receptor positive or negative categories into subtypes that are associated with differing clinical outcomes. It is thought that the expression patterns of the molecular subtypes primarily reflect cell-of-origin or tumor driver mutations. In this study however, using a genetically engineered mouse mammary tumor model we demonstrate that the PAM50 subtype signature of tumors driven by a common oncogenic event can be significantly influenced by the genetic background on which the tumor arises. These results have important implications for interpretation of "snapshot" expression profiles, as well as suggesting that incorporation of genetic background effects may allow investigation into phenotypes not initially anticipated in individual mouse models of cancer.

  4. Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data

    DEFF Research Database (Denmark)

    List, Markus; Hauschild, Anne-Christin; Tan, Qihua;

    2014-01-01

    on the transcriptomic, but also on an epigenetic level. We compared so-called random forest derived classification models based on gene expression and methylation data alone, to a model based on the combined features and to a model based on the gold standard PAM50. We obtained bootstrap errors of 10...

  5. Integrative analysis of miRNA and gene expression reveals regulatory networks in tamoxifen-resistant breast cancer

    DEFF Research Database (Denmark)

    Joshi, Tejal; Elias, Daniel; Stenvang, Jan

    2016-01-01

    Tamoxifen is an effective anti-estrogen treatment for patients with estrogen receptor-positive (ER+) breast cancer, however, tamoxifen resistance is frequently observed. To elucidate the underlying molecular mechanisms of tamoxifen resistance, we performed a systematic analysis of mi...... and siRNAmediated gene knockdown, we showed that both SNAI2 and FYN significantly affect the growth of TamR cell lines. Finally, we show that a combination of 2 miRNAs (miR-190b and miR-516a-5p) exhibiting altered expression in TamR cell lines were predictive of treatment outcome in a cohort of ER......+ breast cancer patients receiving adjuvant tamoxifen mono-therapy. Our results provide new insight into the molecular mechanisms of tamoxifen resistance and may form the basis for future medical intervention for the large number of women with tamoxifen-resistant ER+ breast cancer....

  6. Radio-sensitization of Prostate Cancer Cells by Monensin Treatment and its associated Gene Expression Profiling Changes

    Science.gov (United States)

    Zhang Ye; Rohde, Larry H.; Wu, Honglu

    2008-01-01

    Radio-resistant or recurrent prostate cancer represents a serious health risk for approximately 20%-30% of patients treated with primary radiation therapy for clinically localized prostate cancer. Here, we investigated the effect of monensin on sensitizing radiation mediated cell killing of two radio-resistant prostate cell lines Lncap (P53+ and AR+) and PC3 (P53- and AR-). Treatment with monensin alone (5 micromoles-20 micromoles) showed a significant direct cell killing of Lncap (10-30%), but not PC3 cells. Monensin was also shown to successfully sensitize Lncap cells to X-ray radiation (2Gy-10Gy) mediated cell death, up to 50% of killing with the combined treatment. To better understand the mechanisms of radio-resistance of these two cell lines and their different response to monensin, the apoptosis related gene expression profiles in both cell lines were analyzed using cDNA PCR array. Without any treatment, PC3 showed a much higher expression level of antiapoptosis genes than Lncap in the BCL2 family, the caspase/card family and the TNF ligand/receptor family. At 2 hr after 20 micormolar monensin treatment alone, only the TRAF and CIDE family showed a greater induction in Lncap cells than in PC3. Exposures to 10 Gy X-rays alone of Lncap cells significantly induced gene expression levels in the death and death receptor domain family, the TNF ligand and receptor family, and apoptotic group of BCL2 family; whereas exposures of PC3 induced only the expression of genes in the anti-apoptosis group of CASP and CARD family. Furthermore, we selectively suppressed the expression of several anti-apoptosis genes (BCL-xl, Bcl2A1, BIRC2, BIRC3 and CASP2) in PC3 cells by using the siRNA treatment. Exposure to 10Gy X-rays alone showed an enhanced cell killing (about 15%) in BCL-x1 silenced cells, but not in cells with siRNA treatment targeting other anti-apoptosis genes. We also exposed PC3 cells to protons in the Bragg peak region to compare the effectiveness of cell killing

  7. Gene Expression Profiles as Prognostic Marker in Women with Ovarian Cancer

    DEFF Research Database (Denmark)

    Jochumsen, Kirsten Marie; Tan, Qihua; Høgdall, EV;

    2009-01-01

    toward investigations for more individualized therapies and the use of gene expression profiles in the clinical practice. RNA from tumor tissue from 43 Danish patients with serous epithelial ovarian carcinoma (11 International Federation of Gynecology and Obstetrics [FIGO] stage I/II, 32 FIGO stage III......-term survivors (median overall survival of 32 months) from long-term survivors (median overall survival not yet reached after a median follow-up of 76 months) with a P value of 3.4 x 10 was found. The prognostic gene set was also able to distinguish short-term from long-term survival in patients with advanced......The purpose was to find a gene expression profile that could distinguish short-term from long-term survivors in our collection of serous epithelial ovarian carcinomas. Furthermore, it should be able to stratify in an external validation set. Such a classifier profile will take us a step forward...

  8. Candidate Genes for Testicular Cancer Evaluated by In Situ Protein Expression Analyses on Tissue Microarrays

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    Rolf I. Skotheim

    2003-09-01

    Full Text Available By the use of high-throughput molecular technologies, the number of genes and proteins potentially relevant to testicular germ cell tumor (TGCT and other diseases will increase rapidly. In a recent transcriptional profiling, we demonstrated the overexpression of GRB7 and JUP in TGCTs, confirmed the reported overexpression of CCND2. We also have recent evidences for frequent genetic alterations of FHIT and epigenetic alterations of MGMT. To evaluate whether the expression of these genes is related to any clinicopathological variables, we constructed a tissue microarray with 510 testicular tissue cores from 279 patients diagnosed with TGCT, covering various histological subgroups and clinical stages. By immunohistochemistry, we found that JUP, GRB7, CCND2 proteins were rarely present in normal testis, but frequently expressed at high levels in TGCT. Additionally, all premalignant intratubular germ cell neoplasias were JUP-immunopositive. MGMT and FHIT were expressed by normal testicular tissues, but at significantly lower frequencies in TGCT. Except for CCND2, the expressions of all markers were significantly associated with various TGCT subtypes. In summary, we have developed a high-throughput tool for the evaluation of TGCT markers, utilized this to validate five candidate genes whose protein expressions were indeed deregulated in TGCT.

  9. Breast cancer resistance protein (BCRP/ABCG2): its role in multidrug resistance and regulation of its gene expression

    Institute of Scientific and Technical Information of China (English)

    Takeo Nakanishi; Douglas D. Ross

    2012-01-01

    Breast cancer resistance protein (BCRP)/ATP-binding cassette subfamily G member 2 (ABCG2) is an ATP-binding cassette (ABC) transporter identified as a molecular cause of multidrug resistance (MDR) in diverse cancer cells.BCRP physiologically functions as a part of a self-defense mechanism for the organism; it enhances elimination of toxic xenobiotic substances and harmful agents in the gut and biliary tract,as well as through the blood-brain,placental,and possibly blood-testis barriers.BCRP recognizes and transports numerous anticancer drugs including conventional chemotherapeutic and targeted small therapeutic molecules relatively new in clinical use.Thus,BCRP expression in cancer cells directly causes MDR by active efflux of anticancer drugs.Because BCRP is also known to be a stem cell marker,its expression in cancer cells could be a manifestation of metabolic and signaling pathways that confer multiple mechanisms of drug resistance,self-renewal (stemness),and invasiveness (aggressiveness),and thereby impart a poor prognosis.Therefore,blocking BCRP-mediated active efflux may provide a therapeutic benefit for cancers.Delineating the precise molecular mechanisms for BCRP gene expression may lead to identification of a novel molecular target to modulate BCRP-mediated MDR.Current evidence suggests that BCRP gene transcription is regulated by a number of trans-acting elements including hypoxia inducible factor 1α, estrogen receptor, and peroxisome proliferator-activated receptor.Furthermore,alternative promoter usage,demethylation of the BCRP promoter,and histone modificationare likely associated with drug-induced BCRP overexpression in cancer cells.Finally,PI3K/AKT signaling may play a critical role in modulating BCRP function under a variety of conditions.These biological events seem involved in a complicated manner.Untangling the events would be an essential first step to developing a method to modulate BCRP function to aid patients with cancer.This review will

  10. Detection of EBV Infection and Gene Expression in Oral Cancer from Patients in Taiwan by Microarray Analysis

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    Ching-Yu Yen

    2009-01-01

    Full Text Available Epstein-Barr virus is known to cause nasopharyngeal carcinoma. Although oral cavity is located close to the nasal pharynx, the pathogenetic role of Epstein-Barr virus (EBV in oral cancers is unclear. This molecular epidemiology study uses EBV genomic microarray (EBV-chip to simultaneously detect the prevalent rate and viral gene expression patterns in 57 oral squamous cell carcinoma biopsies (OSCC collected from patients in Taiwan. The majority of the specimens (82.5% were EBV-positive that probably expressed coincidently the genes for EBNAs, LMP2A and 2B, and certain structural proteins. Importantly, the genes fabricated at the spots 61 (BBRF1, BBRF2, and BBRF3 and 68 (BDLF4 and BDRF1 on EBV-chip were actively expressed in a significantly greater number of OSCC exhibiting exophytic morphology or ulceration than those tissues with deep invasive lesions (P=.0265 and .0141, resp.. The results may thus provide the lead information for understanding the role of EBV in oral cancer pathogenesis.

  11. Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients.

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    Yasrebi, Haleh

    2016-09-01

    Microarray gene expression data sets are jointly analyzed to increase statistical power. They could either be merged together or analyzed by meta-analysis. For a given ensemble of data sets, it cannot be foreseen which of these paradigms, merging or meta-analysis, works better. In this article, three joint analysis methods, Z-score normalization, ComBat and the inverse normal method (meta-analysis) were selected for survival prognosis and risk assessment of breast cancer patients. The methods were applied to eight microarray gene expression data sets, totaling 1324 patients with two clinical endpoints, overall survival and relapse-free survival. The performance derived from the joint analysis methods was evaluated using Cox regression for survival analysis and independent validation used as bias estimation. Overall, Z-score normalization had a better performance than ComBat and meta-analysis. Higher Area Under the Receiver Operating Characteristic curve and hazard ratio were also obtained when independent validation was used as bias estimation. With a lower time and memory complexity, Z-score normalization is a simple method for joint analysis of microarray gene expression data sets. The derived findings suggest further assessment of this method in future survival prediction and cancer classification applications.

  12. Altered gene expression profiles of NIH3T3 cells regulated by human lung cancer associated gene CT120

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    Xiang Huo HE; Jin Jun LI; Yi Hu XIE; Yun Tian TANG; Gen Fu YAO; Wen Xin QIN; Da Fang WAN; Jian Ren GU

    2004-01-01

    CT120, a novel membrane-associated gene implicated in lung carcinogenesis, was previously identified from chromosome 17p13.3 locus, a hot mutation spot involved in human malignancies. In the present study, we further determined that CT120 ectopic expression could promote cell proliferation activity of NIH3T3 cells using MTS assay, and monitored the downstream effects of CT120 in NIH3T3 cells with Atlas mouse cDNA expression arrays. Among 588known genes, 133 genes were found to be upregulated or downregulated by CT120. Two major signaling pathways involved in cell proliferation, cell survival and anti-apoptosis were overexpressed and activated in response to CT120:One is the Raf/MEK/Erk signal cascades and the other is the PI3K/Akt signal cascades, suggesting that CT120 might contribute, at least in part, to the constitutively activation of Erk and Akt in human lung caner cells. In addition, some tumor metastasis associated genes cathepsin B, cathepsin D, cathepsin L, MMP-2/TIMP-2 were also upregulated by CT120, upon which CT120 might be involved in tumor invasiveness and metastasis. In addition, CT120 might play an important role in tumor progression through modulating the expression of some candidate "Lung Tumor Progression"genes including B-Raf, Rab-2, BAX, BAG-1, YB-1, and Cdc42.

  13. Polyamine analogs modulate gene expression by inhibiting lysine-specific demethylase 1 (LSD1) and altering chromatin structure in human breast cancer cells.

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    Zhu, Qingsong; Huang, Yi; Marton, Laurence J; Woster, Patrick M; Davidson, Nancy E; Casero, Robert A

    2012-02-01

    Aberrant epigenetic repression of gene expression has been implicated in most cancers, including breast cancer. The nuclear amine oxidase, lysine-specific demethylase 1 (LSD1) has the ability to broadly repress gene expression by removing the activating mono- and di-methylation marks at the lysine 4 residue of histone 3 (H3K4me1 and me2). Additionally, LSD1 is highly expressed in estrogen receptor α negative (ER-) breast cancer cells. Since epigenetic marks are reversible, they make attractive therapeutic targets. Here we examine the effects of polyamine analog inhibitors of LSD1 on gene expression, with the goal of targeting LSD1 as a therapeutic modality in the treatment of breast cancer. Exposure of the ER-negative human breast cancer cells, MDA-MB-231 to the LSD1 inhibitors, 2d or PG11144, significantly increases global H3K4me1 and H3K4me2, and alters gene expression. Array analysis indicated that 98 (75 up and 23 down) and 477 (237 up and 240 down) genes changed expression by at least 1.5-fold or greater after treatment with 2d and PG11144, respectively. The expression of 12 up-regulated genes by 2d and 14 up-regulated genes by PG11144 was validated by quantitative RT-PCR. Quantitative chromatin immunoprecipitation (ChIP) analysis demonstrated that up-regulated gene expression by polyamine analogs is associated with increase of the active histone marks H3K4me1, H3K4me2 and H3K9act, and decrease of the repressive histone marks H3K9me2 and H3K27me3, in the promoter regions of the relevant target genes. These data indicate that the pharmacologic inhibition of LSD1 can effectively alter gene expression and that this therapeutic strategy has potential.

  14. The gene expression profiles of canine mammary cancer cells grown with carcinoma-associated fibroblasts (CAFs as a co-culture in vitro

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    Król Magdalena

    2012-03-01

    Full Text Available Abstract Background It is supposed that fibroblasts present in tumour microenvironment increase cancer invasiveness and its ability to metastasize but the mechanisms have not been clearly defined yet. Thus, the current study was designed to assess changes in gene expression in five various cancer cell lines grown as a co-culture with the carcinoma-associated fibroblasts (CAFs in vitro. Results A carcinoma-associated fibroblast cell line was isolated from a canine mammary cancer. Then, a co-culture of cancer cells with the CAFs was established and maintained for 72 hrs. Having sorted the cells, a global gene expression in cancer cells using DNA microarrays was examined. The analysis revealed an up-regulation of 100 genes and a down-regulation of 106 genes in the cancer cells grown as a co-culture with the CAFs in comparison to control conditions. The PANTHER binomial statistics tool was applied to determine statistically over-manifested pathways (p Conclusion The results of the current study showed that the co-culturing of cancer cells and the CAFs caused significant changes to the cancer gene expression. The presence of the CAFs in a microenvironment of cancer cells promotes adhesion, angiogenesis and EMT.

  15. Comparison of histopathology to gene expression profiling for the diagnosis of metastatic cancer

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    Kulkarni Anand

    2012-08-01

    Full Text Available Abstract Background Determining the primary site of metastatic cancer with confidence can be challenging. Pathologists commonly use a battery of immunohistochemical (IHC stains to determine the primary site. Gene expression profiling (GEP has found increasing use, particularly in the most difficult cases. In this pilot study, a direct comparison between GEP and IHC-guided methods was performed. Methods Ten archived formalin-fixed paraffin embedded metastatic tumor samples for which the primary site had been clinically determined were selected. Five pathologists who were blinded to the diagnosis were asked to determine the primary site using IHC and other stains selected from a panel of 84 stains. Each pathologist was provided patient sex, biopsy site and gross sample description only. Slides were digitized using ScanScope®XT at 0.25 μm/pixel. Each evaluating pathologist was allowed to provide a diagnosis in three stages: initial (after reviewing the H&E image, intermediate (after reviewing images from the first batch of stains and final diagnosis (after the second batch of stains if requested. GEP was performed using the only FDA-cleared test for this intended use, the Pathwork Tissue of Origin Test. No sample information was provided for GEP testing except for patient sex. Results were reported as the tumor tissue type with the highest similarity score. Results In this feasibility study, GEP determined the correct primary site in 9 of the 10 cases (90%, compared to the IHC-guided method which determined the correct primary site for 32 of 50 case evaluations (average 64%, range 50% to 80%. The five pathologists directing the IHC-guided method ordered an average of 8.8 stains per case (range 1 to 18. GEP required an average of 3 slides per case (range 1 to 4. Conclusions Results of the pilot study suggest that GEP provides correct primary site identification in a higher percentage of metastatic cases than IHC-guided methods, and uses less

  16. Identification of valid reference genes for the normalization of RT-qPCR expression studies in human breast cancer cell lines treated with and without transient transfection.

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    Lin-Lin Liu

    Full Text Available Reverse transcription-quantitative polymerase chain reaction (RT-qPCR is a powerful technique for examining gene expression changes during tumorigenesis. Target gene expression is generally normalized by a stably expressed endogenous reference gene; however, reference gene expression may differ among tissues under various circumstances. Because no valid reference genes have been documented for human breast cancer cell lines containing different cancer subtypes treated with transient transfection, we identified appropriate and reliable reference genes from thirteen candidates in a panel of 10 normal and cancerous human breast cell lines under experimental conditions with/without transfection treatments with two transfection reagents. Reference gene expression stability was calculated using four algorithms (geNorm, NormFinder, BestKeeper and comparative delta Ct, and the recommended comprehensive ranking was provided using geometric means of the ranking values using the RefFinder tool. GeNorm analysis revealed that two reference genes should be sufficient for all cases in this study. A stability analysis suggests that 18S rRNA-ACTB is the best reference gene combination across all cell lines; ACTB-GAPDH is best for basal breast cancer cell lines; and HSPCB-ACTB is best for ER+ breast cancer cells. After transfection, the stability ranking of the reference gene fluctuated, especially with Lipofectamine 2000 transfection reagent in two subtypes of basal and ER+ breast cell lines. Comparisons of relative target gene (HER2 expression revealed different expressional patterns depending on the reference genes used for normalization. We suggest that identifying the most stable and suitable reference genes is critical for studying specific cell lines under certain circumstances.

  17. The morphologies of breast cancer cell lines in three-dimensionalassays correlate with their profiles of gene expression

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    Kenny, Paraic A.; Lee, Genee Y.; Myers, Connie A.; Neve, RichardM.; Semeiks, Jeremy R.; Spellman, Paul T.; Lorenz, Katrin; Lee, Eva H.; Barcellos-Hoff, Mary Helen; Petersen, Ole W.; Gray, Joe W.; Bissell, MinaJ.

    2007-01-31

    3D cell cultures are rapidly becoming the method of choice for the physiologically relevant modeling of many aspects of non-malignant and malignant cell behavior ex vivo. Nevertheless, only a limited number of distinct cell types have been evaluated in this assay to date. Here we report the first large scale comparison of the transcriptional profiles and 3D cell culture phenotypes of a substantial panel of human breast cancer cell lines. Each cell line adopts a colony morphology of one of four main classes in 3D culture. These morphologies reflect, at least in part, the underlying gene expression profile and protein expression patterns of the cell lines, and distinct morphologies were also associated with tumor cell invasiveness and with cell lines originating from metastases. We further demonstrate that consistent differences in genes encoding signal transduction proteins emerge when even tumor cells are cultured in 3D microenvironments.

  18. Distinct phenotypes of human prostate cancer cells associate with different adaptation to hypoxia and pro-inflammatory gene expression.

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    Linda Ravenna

    Full Text Available Hypoxia and inflammation are strictly interconnected both concurring to prostate cancer progression. Numerous reports highlight the role of tumor cells in the synthesis of pro-inflammatory molecules and show that hypoxia can modulate a number of these genes contributing substantially to the increase of cancer aggressiveness. However, little is known about the importance of the tumor phenotype in this process. The present study explores how different features, including differentiation and aggressiveness, of prostate tumor cell lines impact on the hypoxic remodeling of pro-inflammatory gene expression and malignancy. We performed our studies on three cell lines with increasing metastatic potential: the well differentiated androgen-dependent LNCaP and the less differentiated and androgen-independent DU145 and PC3. We analyzed the effect that hypoxic treatment has on modulating pro-inflammatory gene expression and evaluated the role HIF isoforms and NF-kB play in sustaining this process. DU145 and PC3 cells evidenced a higher normoxic expression and a more complete hypoxic induction of pro-inflammatory molecules compared to the well differentiated LNCaP cell line. The role of HIF1α and NF-kB, the master regulators of hypoxia and inflammation respectively, in sustaining the hypoxic pro-inflammatory phenotype was different according to cell type. NF-kB was observed to play a main role in DU145 and PC3 cells in which treatment with the NF-kB inhibitor parthenolide was able to counteract both the hypoxic pro-inflammatory shift and HIF1α activation but not in LNCaP cells. Our data highlight that tumor prostate cell phenotype contributes at a different degree and with different mechanisms to the hypoxic pro-inflammatory gene expression related to tumor progression.

  19. Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2

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    Sinilnikova Olga

    2011-05-01

    Full Text Available Abstract Background The gene CHEK2 encodes a checkpoint kinase playing a key role in the DNA damage pathway. Though CHEK2 has been identified as an intermediate breast cancer susceptibility gene, only a small proportion of high-risk families have been explained by genetic variants located in its coding region. Alteration in gene expression regulation provides a potential mechanism for generating disease susceptibility. The detection of differential allelic expression (DAE represents a sensitive assay to direct the search for a functional sequence variant within the transcriptional regulatory elements of a candidate gene. We aimed to assess whether CHEK2 was subject to DAE in lymphoblastoid cell lines (LCLs from high-risk breast cancer patients for whom no mutation in BRCA1 or BRCA2 had been identified. Methods We implemented an assay based on high-resolution melting (HRM curve analysis and developed an analysis tool for DAE assessment. Results We observed allelic expression imbalance in 4 of the 41 LCLs examined. All four were carriers of the truncating mutation 1100delC. We confirmed previous findings that this mutation induces non-sense mediated mRNA decay. In our series, we ruled out the possibility of a functional sequence variant located in the promoter region or in a regulatory element of CHEK2 that would lead to DAE in the transcriptional regulatory milieu of freely proliferating LCLs. Conclusions Our results support that HRM is a sensitive and accurate method for DAE assessment. This approach would be of great interest for high-throughput mutation screening projects aiming to identify genes carrying functional regulatory polymorphisms.

  20. Breast cancer risk-associated SNPs modulate the affinity of chromatin for FOXA1 and alter