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Sample records for breast cancer subtyping

  1. Diabetes and Breast Cancer Subtypes.

    Directory of Open Access Journals (Sweden)

    Heleen K Bronsveld

    Full Text Available Women with diabetes have a worse survival after breast cancer diagnosis compared to women without diabetes. This may be due to a different etiological profile, leading to the development of more aggressive breast cancer subtypes. Our aim was to investigate whether insulin and non-insulin treated women with diabetes develop specific clinicopathological breast cancer subtypes compared to women without diabetes.This cross-sectional study included randomly selected patients with invasive breast cancer diagnosed in 2000-2010. Stratified by age at breast cancer diagnosis (≤50 and >50 years, women with diabetes were 2:1 frequency-matched on year of birth and age at breast cancer diagnosis (both in 10-year categories to women without diabetes, to select ~300 patients with tumor tissue available. Tumor MicroArrays were stained by immunohistochemistry for estrogen and progesterone receptor (ER, PR, HER2, Ki67, CK5/6, CK14, and p63. A pathologist scored all stains and revised morphology and grade. Associations between diabetes/insulin treatment and clinicopathological subtypes were analyzed using multivariable logistic regression. Morphology and grade were not significantly different between women with diabetes (n = 211 and women without diabetes (n = 101, irrespective of menopausal status. Premenopausal women with diabetes tended to have more often PR-negative (OR = 2.44(95%CI:1.07-5.55, HER2-negative (OR = 2.84(95%CI:1.11-7.22, and basal-like (OR = 3.14(95%CI:1.03-9.60 tumors than the women without diabetes, with non-significantly increased frequencies of ER-negative (OR = 2.48(95%CI:0.95-6.45 and triple negative (OR = 2.60(95%CI:0.88-7.67 tumors. After adjustment for age and BMI, the associations remained similar in size but less significant. We observed no evidence for associations of clinicopathological subtypes with diabetes in postmenopausal women, or with insulin treatment in general.We found no compelling evidence that women with diabetes

  2. Diabetes and Breast Cancer Subtypes.

    Science.gov (United States)

    Bronsveld, Heleen K; Jensen, Vibeke; Vahl, Pernille; De Bruin, Marie L; Cornelissen, Sten; Sanders, Joyce; Auvinen, Anssi; Haukka, Jari; Andersen, Morten; Vestergaard, Peter; Schmidt, Marjanka K

    2017-01-01

    Women with diabetes have a worse survival after breast cancer diagnosis compared to women without diabetes. This may be due to a different etiological profile, leading to the development of more aggressive breast cancer subtypes. Our aim was to investigate whether insulin and non-insulin treated women with diabetes develop specific clinicopathological breast cancer subtypes compared to women without diabetes. This cross-sectional study included randomly selected patients with invasive breast cancer diagnosed in 2000-2010. Stratified by age at breast cancer diagnosis (≤50 and >50 years), women with diabetes were 2:1 frequency-matched on year of birth and age at breast cancer diagnosis (both in 10-year categories) to women without diabetes, to select ~300 patients with tumor tissue available. Tumor MicroArrays were stained by immunohistochemistry for estrogen and progesterone receptor (ER, PR), HER2, Ki67, CK5/6, CK14, and p63. A pathologist scored all stains and revised morphology and grade. Associations between diabetes/insulin treatment and clinicopathological subtypes were analyzed using multivariable logistic regression. Morphology and grade were not significantly different between women with diabetes (n = 211) and women without diabetes (n = 101), irrespective of menopausal status. Premenopausal women with diabetes tended to have more often PR-negative (OR = 2.44(95%CI:1.07-5.55)), HER2-negative (OR = 2.84(95%CI:1.11-7.22)), and basal-like (OR = 3.14(95%CI:1.03-9.60) tumors than the women without diabetes, with non-significantly increased frequencies of ER-negative (OR = 2.48(95%CI:0.95-6.45)) and triple negative (OR = 2.60(95%CI:0.88-7.67) tumors. After adjustment for age and BMI, the associations remained similar in size but less significant. We observed no evidence for associations of clinicopathological subtypes with diabetes in postmenopausal women, or with insulin treatment in general. We found no compelling evidence that women with diabetes, treated

  3. Proteomic maps of breast cancer subtypes

    DEFF Research Database (Denmark)

    Tyanova, Stefka; Albrechtsen, Reidar; Kronqvist, Pauliina

    2016-01-01

    Systems-wide profiling of breast cancer has almost always entailed RNA and DNA analysis by microarray and sequencing techniques. Marked developments in proteomic technologies now enable very deep profiling of clinical samples, with high identification and quantification accuracy. We analysed 40...... oestrogen receptor positive (luminal), Her2 positive and triple negative breast tumours and reached a quantitative depth of >10,000 proteins. These proteomic profiles identified functional differences between breast cancer subtypes, related to energy metabolism, cell growth, mRNA translation and cell......-cell communication. Furthermore, we derived a signature of 19 proteins, which differ between the breast cancer subtypes, through support vector machine (SVM)-based classification and feature selection. Remarkably, only three proteins of the signature were associated with gene copy number variations and eleven were...

  4. Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes

    DEFF Research Database (Denmark)

    Broeks, Annegien; Schmidt, Marjanka K; Sherman, Mark E

    2011-01-01

    Breast cancers demonstrate substantial biological, clinical and etiological heterogeneity. We investigated breast cancer risk associations of eight susceptibility loci identified in GWAS and two putative susceptibility loci in candidate genes in relation to specific breast tumor subtypes. Subtype...... stratification might help in the identification and characterization of novel risk factors for breast cancer subtypes. This may eventually result in further improvements in prevention, early detection and treatment.......Breast cancers demonstrate substantial biological, clinical and etiological heterogeneity. We investigated breast cancer risk associations of eight susceptibility loci identified in GWAS and two putative susceptibility loci in candidate genes in relation to specific breast tumor subtypes. Subtypes...... were defined by five markers (ER, PR, HER2, CK5/6, EGFR) and other pathological and clinical features. Analyses included up to 30 040 invasive breast cancer cases and 53 692 controls from 31 studies within the Breast Cancer Association Consortium. We confirmed previous reports of stronger associations...

  5. Molecular subtypes and imaging phenotypes of breast cancer

    International Nuclear Information System (INIS)

    Cho, Nariya

    2016-01-01

    During the last 15 years, traditional breast cancer classifications based on histopathology have been reorganized into the luminal A, luminal B, human epidermal growth factor receptor 2 (HER2), and basal-like subtypes based on gene expression profiling. Each molecular subtype has shown varying risk for progression, response to treatment, and survival outcomes. Research linking the imaging phenotype with the molecular subtype has revealed that non-calcified, relatively circumscribed masses with posterior acoustic enhancement are common in the basal-like subtype, spiculated masses with a poorly circumscribed margin and posterior acoustic shadowing in the luminal subtype, and pleomorphic calcifications in the HER2-enriched subtype. Understanding the clinical implications of the molecular subtypes and imaging phenotypes could help radiologists guide precision medicine, tailoring medical treatment to patients and their tumor characteristics

  6. Molecular subtypes and imaging phenotypes of breast cancer

    Directory of Open Access Journals (Sweden)

    Nariya Cho

    2016-10-01

    Full Text Available During the last 15 years, traditional breast cancer classifications based on histopathology have been reorganized into the luminal A, luminal B, human epidermal growth factor receptor 2 (HER2, and basal-like subtypes based on gene expression profiling. Each molecular subtype has shown varying risk for progression, response to treatment, and survival outcomes. Research linking the imaging phenotype with the molecular subtype has revealed that non-calcified, relatively circumscribed masses with posterior acoustic enhancement are common in the basal-like subtype, spiculated masses with a poorly circumscribed margin and posterior acoustic shadowing in the luminal subtype, and pleomorphic calcifications in the HER2-enriched subtype. Understanding the clinical implications of the molecular subtypes and imaging phenotypes could help radiologists guide precision medicine, tailoring medical treatment to patients and their tumor characteristics.

  7. Molecular subtypes and imaging phenotypes of breast cancer

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    Cho, Nariya [Dept. of Radiology, Seoul National University Hospital, Seoul (Korea, Republic of)

    2016-08-15

    During the last 15 years, traditional breast cancer classifications based on histopathology have been reorganized into the luminal A, luminal B, human epidermal growth factor receptor 2 (HER2), and basal-like subtypes based on gene expression profiling. Each molecular subtype has shown varying risk for progression, response to treatment, and survival outcomes. Research linking the imaging phenotype with the molecular subtype has revealed that non-calcified, relatively circumscribed masses with posterior acoustic enhancement are common in the basal-like subtype, spiculated masses with a poorly circumscribed margin and posterior acoustic shadowing in the luminal subtype, and pleomorphic calcifications in the HER2-enriched subtype. Understanding the clinical implications of the molecular subtypes and imaging phenotypes could help radiologists guide precision medicine, tailoring medical treatment to patients and their tumor characteristics.

  8. Progranulin expression in breast cancer with different intrinsic subtypes.

    Science.gov (United States)

    Li, Li Qin; Min, Li Shan; Jiang, Qun; Ping, Jin Liang; Li, Jing; Dai, Li Cheng

    2012-04-15

    Progranulin is a newly discovered 88-kDa glycoprotein originally purified from the highly tumorigenic mouse teratoma-derived cell line PC. We found that high progranulin expression was associated with higher breast carcinoma angiogenesis, reflected by increased vascular endothelial growth factor expression and higher microvessel density. However, no immunohistochemical evidence currently exists to correlate progranulin expression with clinicopathological features in different intrinsic subtypes of breast carcinoma biopsies. The aim of this study was to investigate the progranulin expression profiles in the intrinsic subtypes of breast carcinomas and their relevance to histopathological and clinicopathological features. Tissue blocks containing 264 cases of breast carcinomas from 2006 to 2009 were classified as different intrinsic subtypes. Tissues of four intrinsic subtypes were immunostained for progranulin, vascular endothelial growth factor and CD105. Their relevance to histopathological and clinicopathological features was also analyzed. Twenty tissue samples from breast fibroadenomas were included in this study. Progranulin expression showed no significant differences in different intrinsic subtypes, although an increasing tendency could be found in the triple-negative breast cancer (TNBC) subgroup (χ(2)=5.00, df=3, p=0.17). However, differences were significant when pathologically node metastasis-positive (pN(+)) TNBC were excluded (χ(2)=17.84, df=3, pprogranulin in pathologically node metastasis-negative (pN(-)) TNBC. It was noted that the EGFR expression level of the pN(-) TNBC subtype was significantly higher in cases with strong progranulin expression than in cases with weak progranulin expression (χ(2)=11.26, df=1, pprogranulin in pN(-) TNBC suggests that progranulin is a promising new target for pN(-) TNBC treatment. Strong expression of progranulin correlates with positive EGFR expression in the pN(-) TNBC subtype. The close relationship between

  9. Molecular Subtypes and Clinical Outcomes of Breast Cancer

    African Journals Online (AJOL)

    2010-01-04

    Jan 4, 2010 ... Some early work has started in earnest at both the. AKUH(N) and Kijabe Hospitals to try and stratify our breast cancer patients to those mentioned subtypes to help in both diagnosis and treatment. The limiting fac- tors are small numbers of patients expense to undertake the tests and lack of both internal ...

  10. Breast cancer molecular subtype classification using deep features: preliminary results

    Science.gov (United States)

    Zhu, Zhe; Albadawy, Ehab; Saha, Ashirbani; Zhang, Jun; Harowicz, Michael R.; Mazurowski, Maciej A.

    2018-02-01

    Radiogenomics is a field of investigation that attempts to examine the relationship between imaging characteris- tics of cancerous lesions and their genomic composition. This could offer a noninvasive alternative to establishing genomic characteristics of tumors and aid cancer treatment planning. While deep learning has shown its supe- riority in many detection and classification tasks, breast cancer radiogenomic data suffers from a very limited number of training examples, which renders the training of the neural network for this problem directly and with no pretraining a very difficult task. In this study, we investigated an alternative deep learning approach referred to as deep features or off-the-shelf network approach to classify breast cancer molecular subtypes using breast dynamic contrast enhanced MRIs. We used the feature maps of different convolution layers and fully connected layers as features and trained support vector machines using these features for prediction. For the feature maps that have multiple layers, max-pooling was performed along each channel. We focused on distinguishing the Luminal A subtype from other subtypes. To evaluate the models, 10 fold cross-validation was performed and the final AUC was obtained by averaging the performance of all the folds. The highest average AUC obtained was 0.64 (0.95 CI: 0.57-0.71), using the feature maps of the last fully connected layer. This indicates the promise of using this approach to predict the breast cancer molecular subtypes. Since the best performance appears in the last fully connected layer, it also implies that breast cancer molecular subtypes may relate to high level image features

  11. PAM50 breast cancer intrinsic subtypes and effect of gemcitabine in advanced breast cancer patients

    DEFF Research Database (Denmark)

    Jørgensen, Charlotte Levin Tykjær; Nielsen, Torsten O; Bjerre, Karsten D

    2014-01-01

    BACKGROUND: In vitro studies suggest basal breast cancers are more sensitive to gemcitabine relative to other intrinsic subtypes. The main objective of this study was to use specimens from a randomized clinical trial to evaluate whether the basal-like subtype identifies patients with advanced...... breast cancer who benefit from gemcitabine plus docetaxel (GD) compared to single agent docetaxel (D). MATERIAL AND METHODS: From patients randomly assigned to GD or D, RNA was isolated from archival formalin-fixed, paraffin-embedded primary breast tumor tissue and used for PAM50 intrinsic subtyping...... chemotherapy were analyzed by the Kaplan-Meier method, and Cox proportional hazards regression models. Data analysis was performed independently by the Danish Breast Cancer Cooperative Group (DBCG) statistical core and all statistical tests were two-sided. RESULTS: RNA from 270 patients was evaluable; 84...

  12. Breast Cancer Molecular Subtypes Among Moroccan Women

    Directory of Open Access Journals (Sweden)

    Wissal Mahir

    2016-12-01

    Full Text Available Introduction: Breast cancer remains despite the therapeutic progress, the leading cause of death by cancer among women. It represents a group of very heterogeneous clinical, histopathological and molecular diseases. Molecular heterogeneity has been demonstrated by genomic analysis, even for similar histology cancers. Four subgroups of breast carcinomas are distinguished: Luminal A, Luminal B, HER2 over expression and Basal - like. The Immuno-histo-chemical analysis useip (estrogen receptors RE, the PR (progesterone receptors, the ((Human Epidermal Growth Factor Receptor-2, the Ki67 (proliferation marker HER2, CK5/6 has shown a subdivision into subgroups similar to those found by genomic analysis. These subgroups are different from the point of view of clinical course and response to adjuvant treatment.Objectives: The aim of this work is to study the molecular profile of the breast cancers by immunostaining on Moroccan series to a classification with a prognostic value allowing a treatment tailored to each group of patients. Furthermore, the molecular subgroups were correlated to other clinical and histological factors.Material and methods: It is a prospective study of the laboratory of Anatomy and Pathologic cytology of the children's Hospital, the service I of the maternity hospital in Rabat and in cooperation with the United Nations Centre of pathological anatomy. To do this, 88 cases of breast cancer together were diagnosed between January 1, 2010 and December 31, 2014, taking a period of five years. All tissue samples made subject study of Immuno-histo-chemistry with the following markers: RE, PR, HER2 and Ki67. Only negative triple cases (HR and HER2 negative benefited from an additional marking with CK5/6 and EGFR to set the basal profile.Results: Series of 88 cases of mammary carcinomas observed on operating parts, ranged in age between 28 and 84 years old, with an average of 51 ± 12, 8. Carcinoma infiltrating non-specific (DOCTORS was

  13. Breast cancer molecular subtype classifier that incorporates MRI features.

    Science.gov (United States)

    Sutton, Elizabeth J; Dashevsky, Brittany Z; Oh, Jung Hun; Veeraraghavan, Harini; Apte, Aditya P; Thakur, Sunitha B; Morris, Elizabeth A; Deasy, Joseph O

    2016-07-01

    To use features extracted from magnetic resonance (MR) images and a machine-learning method to assist in differentiating breast cancer molecular subtypes. This retrospective Health Insurance Portability and Accountability Act (HIPAA)-compliant study received Institutional Review Board (IRB) approval. We identified 178 breast cancer patients between 2006-2011 with: 1) ERPR + (n = 95, 53.4%), ERPR-/HER2 + (n = 35, 19.6%), or triple negative (TN, n = 48, 27.0%) invasive ductal carcinoma (IDC), and 2) preoperative breast MRI at 1.5T or 3.0T. Shape, texture, and histogram-based features were extracted from each tumor contoured on pre- and three postcontrast MR images using in-house software. Clinical and pathologic features were also collected. Machine-learning-based (support vector machines) models were used to identify significant imaging features and to build models that predict IDC subtype. Leave-one-out cross-validation (LOOCV) was used to avoid model overfitting. Statistical significance was determined using the Kruskal-Wallis test. Each support vector machine fit in the LOOCV process generated a model with varying features. Eleven out of the top 20 ranked features were significantly different between IDC subtypes with P machine-learning-based predictive model using features extracted from MRI that can distinguish IDC subtypes with significant predictive power. J. Magn. Reson. Imaging 2016;44:122-129. © 2016 Wiley Periodicals, Inc.

  14. Metastatic Organotropism: An Intrinsic Property of Breast Cancer Molecular Subtypes.

    Science.gov (United States)

    Wei, Shi; Siegal, Gene P

    2017-03-01

    It has long been known that some cancers have the propensity to metastasize to certain organs thus creating a nonrandom distribution of sites for distant relapse, a phenomenon known as "metastatic organotropism." Some of these examples include ovary primary to abdominal cavity, prostate primary to bone, and pancreas primary to liver. In contrast, other tumor types, such as mammary and renal cell carcinoma, can relapse in multiple organs although approximately half of advanced breast cancers metastasize to bone. On the other hand gene expression profiling studies have identified various breast cancer classes with prognostic significance. Recent studies have revealed that breast cancer subtypes differ not only in primary tumor characteristics but also in their metastatic behavior. In particular, the luminal tumors are remarkable for their significant bone-seeking phenotype; the HER2 subtype demonstrates a significant liver-homing characteristic; whereas so-called triple-negative breast cancers predispose to lung metastases. These findings suggest that this knowledge could potentially be utilized in the development of effective disease surveillance strategies in the pursuit of precision medicine, thus necessitating further investigation.

  15. Reproductive profiles and risk of breast cancer subtypes

    DEFF Research Database (Denmark)

    Brouckaert, Olivier; Rudolph, Anja; Laenen, Annouschka

    2017-01-01

    Background: Previous studies have shown that reproductive factors are differentially associated with breast cancer (BC) risk by subtypes. The aim of this study was to investigate associations between reproductive factors and BC subtypes, and whether these vary by age at diagnosis. Methods: We used...... pooled data on tumor markers (estrogen and progesterone receptor, human epidermal growth factor receptor-2 (HER2)) and reproductive risk factors (parity, age at first full-time pregnancy (FFTP) and age at menarche) from 28,095 patients with invasive BC from 34 studies participating in the Breast Cancer...... the risk for TNBC (OR = 0.78, CI 0.70-0.88, p diagnosis, whereas the association with luminal HER2-like BC was present only for early onset BC....

  16. Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer

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    Zheng, Feng-Yang, E-mail: fyzheng16@fudan.edu.cn [Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032 (China); Shanghai Institute of Medical Imaging, Shanghai 200032 (China); Lu, Qing, E-mail: lu.qing@zs-hospital.sh.cn [Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032 (China); Huang, Bei-Jian, E-mail: huang.beijian@zs-hospital.sh.cn [Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032 (China); Shanghai Institute of Medical Imaging, Shanghai 200032 (China); Xia, Han-Sheng, E-mail: zs12036@126.com [Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032 (China); Yan, Li-Xia, E-mail: dndyanlixia@163.com [Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032 (China); Wang, Xi, E-mail: wang.xi@zs-hospital.sh.cn [Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032 (China); Shanghai Institute of Medical Imaging, Shanghai 200032 (China); Yuan, Wei, E-mail: yuan.wei@zs-hospital.sh.cn [Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032 (China); Wang, Wen-Ping, E-mail: wang.wenping@zs-hospital.sh.cn [Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032 (China); Shanghai Institute of Medical Imaging, Shanghai 200032 (China)

    2017-01-15

    Highlights: • ABVS imaging features have a strong correlation with breast cancer molecular subtypes. • Retraction phenomenon on the coronal planes was the most important predictor for Luminal A and Triple Negative subtypes. • ABVS expand the scope of ultrasound in identifying breast cancer molecular subtypes. - Abstract: Objectives: To investigate the correlation between the imaging features obtained by an automated breast volume scanner (ABVS) and molecular subtypes of breast cancer. Methods: We examined 303 malignant breast tumours by ABVS for specific imaging features and by immunohistochemical analysis to determine the molecular subtype. ABVS imaging features, including retraction phenomenon, shape, margins, echogenicity, post-acoustic features, echogenic halo, and calcifications were analysed by univariate and multivariate logistic regression analyses to determine the significant predictive factors of the molecular subtypes. Results: By univariate logistic regression analysis, the predictive factors of the Luminal-A subtype (n = 128) were retraction phenomenon (odds ratio [OR] = 10.188), post-acoustic shadowing (OR = 5.112), and echogenic halo (OR = 3.263, P < 0.001). The predictive factors of the Human-epidermal-growth-factor-receptor-2-amplified subtype (n = 39) were calcifications (OR = 6.210), absence of retraction phenomenon (OR = 4.375), non-mass lesions (OR = 4.286, P < 0.001), absence of echogenic halo (OR = 3.851, P = 0.035), and post-acoustic enhancement (OR = 3.641, P = 0.008). The predictors for the Triple-Negative subtype (n = 47) were absence of retraction phenomenon (OR = 5.884), post-acoustic enhancement (OR = 5.255, P < 0.001), absence of echogenic halo (OR = 4.138, P = 0.002), and absence of calcifications (OR = 3.363, P = 0.001). Predictors for the Luminal-B subtype (n = 89) had a relatively lower association (OR ≤ 2.328). By multivariate logistic regression analysis, retraction phenomenon was the strongest independent predictor for

  17. Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer

    International Nuclear Information System (INIS)

    Zheng, Feng-Yang; Lu, Qing; Huang, Bei-Jian; Xia, Han-Sheng; Yan, Li-Xia; Wang, Xi; Yuan, Wei; Wang, Wen-Ping

    2017-01-01

    Highlights: • ABVS imaging features have a strong correlation with breast cancer molecular subtypes. • Retraction phenomenon on the coronal planes was the most important predictor for Luminal A and Triple Negative subtypes. • ABVS expand the scope of ultrasound in identifying breast cancer molecular subtypes. - Abstract: Objectives: To investigate the correlation between the imaging features obtained by an automated breast volume scanner (ABVS) and molecular subtypes of breast cancer. Methods: We examined 303 malignant breast tumours by ABVS for specific imaging features and by immunohistochemical analysis to determine the molecular subtype. ABVS imaging features, including retraction phenomenon, shape, margins, echogenicity, post-acoustic features, echogenic halo, and calcifications were analysed by univariate and multivariate logistic regression analyses to determine the significant predictive factors of the molecular subtypes. Results: By univariate logistic regression analysis, the predictive factors of the Luminal-A subtype (n = 128) were retraction phenomenon (odds ratio [OR] = 10.188), post-acoustic shadowing (OR = 5.112), and echogenic halo (OR = 3.263, P < 0.001). The predictive factors of the Human-epidermal-growth-factor-receptor-2-amplified subtype (n = 39) were calcifications (OR = 6.210), absence of retraction phenomenon (OR = 4.375), non-mass lesions (OR = 4.286, P < 0.001), absence of echogenic halo (OR = 3.851, P = 0.035), and post-acoustic enhancement (OR = 3.641, P = 0.008). The predictors for the Triple-Negative subtype (n = 47) were absence of retraction phenomenon (OR = 5.884), post-acoustic enhancement (OR = 5.255, P < 0.001), absence of echogenic halo (OR = 4.138, P = 0.002), and absence of calcifications (OR = 3.363, P = 0.001). Predictors for the Luminal-B subtype (n = 89) had a relatively lower association (OR ≤ 2.328). By multivariate logistic regression analysis, retraction phenomenon was the strongest independent predictor for

  18. Breast cancer subtypes: two decades of journey from cell culture to patients.

    Science.gov (United States)

    Zhao, Xiangshan; Gurumurthy, Channabasavaiah Basavaraju; Malhotra, Gautam; Mirza, Sameer; Mohibi, Shakur; Bele, Aditya; Quinn, Meghan G; Band, Hamid; Band, Vimla

    2011-01-01

    Recent molecular profiling has identified six major subtypes of breast cancers that exhibit different survival outcomes for patients. To address the origin of different subtypes of breast cancers, we have now identified, isolated, and immortalized (using hTERT) mammary stem/progenitor cells which maintain their stem/progenitor properties even after immortalization. Our decade long research has shown that these stem/progenitor cells are highly susceptible to oncogenesis. Given the emerging evidence that stem/progenitor cells are precursors of cancers and that distinct subtypes of breast cancer have different survival outcome, these cellular models provide novel tools to understand the oncogenic process leading to various subtypes of breast cancers and for future development of novel therapeutic strategies to treat different subtypes of breast cancers.

  19. Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes.

    Science.gov (United States)

    Chen, Juan; Xu, Juan; Li, Yongsheng; Zhang, Jinwen; Chen, Hong; Lu, Jianping; Wang, Zishan; Zhao, Xueying; Xu, Kang; Li, Yixue; Li, Xia; Zhang, Yan

    2017-02-07

    Although competing endogenous RNAs (ceRNAs) have been implicated in many solid tumors, their roles in breast cancer subtypes are not well understood. We therefore generated a ceRNA network for each subtype based on the significance of both, positive co-expression and the shared miRNAs, in the corresponding subtype miRNA dys-regulatory network, which was constructed based on negative regulations between differentially expressed miRNAs and targets. All four subtype ceRNA networks exhibited scale-free architecture and showed that the common ceRNAs were at the core of the networks. Furthermore, the common ceRNA hubs had greater connectivity than the subtype-specific hubs. Functional analysis of the common subtype ceRNA hubs highlighted factors involved in proliferation, MAPK signaling pathways and tube morphogenesis. Subtype-specific ceRNA hubs highlighted unique subtype-specific pathways, like the estrogen response and inflammatory pathways in the luminal subtypes or the factors involved in the coagulation process that participates in the basal-like subtype. Ultimately, we identified 29 critical subtype-specific ceRNA hubs that characterized the different breast cancer subtypes. Our study thus provides new insight into the common and specific subtype ceRNA interactions that define the different categories of breast cancer and enhances our understanding of the pathology underlying the different breast cancer subtypes, which can have prognostic and therapeutic implications in the future.

  20. Peculiarities of diagnostics and clinical course of different immunohistochemical subtypes of breast cancer

    Directory of Open Access Journals (Sweden)

    El Khazhzh M.Kh.

    2014-09-01

    Full Text Available Modern global guidelines in oncology consider treatment of various forms of breast cancer according to molecular tumor subtype. Steroid receptors, epidermal growth factor receptors, p53, Ki67 proliferative activity index and others are the key indicators of aggressiveness of malignant breast tumors. The material for this study was the retrospective study of the standard set of breast cancer immuno¬histochemical markers (estrogen receptors, progesterone, epidermal growth factor type 2 in 8171 patients. 4 groups of patients - luminal A, luminal B, triple negative and HER2-neu positive subtypes of tumors were identified according to immunohistochemical status. We analyzed overall survival without relapse in 491 patients with breast cancer, clinical data and data of immunohistochemical studies were matched. Based on the investigation it was determined that in the early stages of the disease (1-2 luminal A subtype of cancer is often diagnosed. In the late stages the most common subtype is HER2-neu positive breast cancer. Herewith, patients with luminal A subtype of cancer have the best performance of the overall survival (OS (32,91±2,33 months, and the worst results were found in patients with HER2 - neu positive breast cancer (22,58±1,28 months. The data obtained determine HER2 - neu positive subtype as the most aggressive type of breast cancer, and the luminal A subtype – as the least aggressive one.

  1. CCR 20th Anniversary Commentary: Divide and Conquer-Breast Cancer Subtypes and Response to Therapy.

    Science.gov (United States)

    Pusztai, Lajos; Rouzier, Roman; Symmans, W Fraser

    2015-08-15

    The article by Rouzier and colleagues, published in the August 15, 2005, issue of Clinical Cancer Research, demonstrated that different molecular subtypes of breast cancer have different degrees of sensitivity to chemotherapy, but the extent of response to neoadjuvant therapy has a different meaning by subtype. Several molecular subtype-specific clinical trials are under way to maximize pathologic complete response rates in triple-negative breast cancer and HER2-positive cancers, and to provide adjuvant treatment options for patients with residual invasive disease. See related article by Rouzier et al., Clin Cancer Res 2005;11(16) Aug 15, 2005;5678-85. ©2015 American Association for Cancer Research.

  2. Robust stratification of breast cancer subtypes using differential patterns of transcript isoform expression.

    Directory of Open Access Journals (Sweden)

    Thomas P Stricker

    2017-03-01

    Full Text Available Breast cancer, the second leading cause of cancer death of women worldwide, is a heterogenous disease with multiple different subtypes. These subtypes carry important implications for prognosis and therapy. Interestingly, it is known that these different subtypes not only have different biological behaviors, but also have distinct gene expression profiles. However, it has not been rigorously explored whether particular transcriptional isoforms are also differentially expressed among breast cancer subtypes, or whether transcript isoforms from the same sets of genes can be used to differentiate subtypes. To address these questions, we analyzed the patterns of transcript isoform expression using a small set of RNA-sequencing data for eleven Estrogen Receptor positive (ER+ subtype and fourteen triple negative (TN subtype tumors. We identified specific sets of isoforms that distinguish these tumor subtypes with higher fidelity than standard mRNA expression profiles. We found that alternate promoter usage, alternative splicing, and alternate 3'UTR usage are differentially regulated in breast cancer subtypes. Profiling of isoform expression in a second, independent cohort of 68 tumors confirmed that expression of splice isoforms differentiates breast cancer subtypes. Furthermore, analysis of RNAseq data from 594 cases from the TCGA cohort confirmed the ability of isoform usage to distinguish breast cancer subtypes. Also using our expression data, we identified several RNA processing factors that were differentially expressed between tumor subtypes and/or regulated by estrogen receptor, including YBX1, YBX2, MAGOH, MAGOHB, and PCBP2. RNAi knock-down of these RNA processing factors in MCF7 cells altered isoform expression. These results indicate that global dysregulation of splicing in breast cancer occurs in a subtype-specific and reproducible manner and is driven by specific differentially expressed RNA processing factors.

  3. Association Between Imaging Characteristics and Different Molecular Subtypes of Breast Cancer.

    Science.gov (United States)

    Wu, Mingxiang; Ma, Jie

    2017-04-01

    Breast cancer can be divided into four major molecular subtypes based on the expression of hormone receptor (estrogen receptor and progesterone receptor), human epidermal growth factor receptor 2, HER2 status, and molecular proliferation rate (Ki67). In this study, we sought to investigate the association between breast cancer subtype and radiological findings in the Chinese population. Medical records of 300 consecutive invasive breast cancer patients were reviewed from the database: the Breast Imaging Reporting and Data System. The imaging characteristics of the lesions were evaluated. The molecular subtypes of breast cancer were classified into four types: luminal A, luminal B, HER2 overexpressed (HER2), and basal-like breast cancer (BLBC). Univariate and multivariate logistic regression analyses were performed to assess the association between the subtype (dependent variable) and mammography or 15 magnetic resonance imaging (MRI) indicators (independent variables). Luminal A and B subtypes were commonly associated with "clustered calcification distribution," "nipple invasion," or "skin invasion" (P cancers showed association with persistent enhancement in the delayed phase on MRI and "clustered calcification distribution" on mammography (P breast tumor, which are potentially useful tools in the diagnosis and subtyping of breast cancer. Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

  4. Correlation of microarray-based breast cancer molecular subtypes and clinical outcomes: implications for treatment optimization

    Directory of Open Access Journals (Sweden)

    Hsu Hui-Chi

    2011-04-01

    Full Text Available Abstract Background Optimizing treatment through microarray-based molecular subtyping is a promising method to address the problem of heterogeneity in breast cancer; however, current application is restricted to prediction of distant recurrence risk. This study investigated whether breast cancer molecular subtyping according to its global intrinsic biology could be used for treatment customization. Methods Gene expression profiling was conducted on fresh frozen breast cancer tissue collected from 327 patients in conjunction with thoroughly documented clinical data. A method of molecular subtyping based on 783 probe-sets was established and validated. Statistical analysis was performed to correlate molecular subtypes with survival outcome and adjuvant chemotherapy regimens. Heterogeneity of molecular subtypes within groups sharing the same distant recurrence risk predicted by genes of the Oncotype and MammaPrint predictors was studied. Results We identified six molecular subtypes of breast cancer demonstrating distinctive molecular and clinical characteristics. These six subtypes showed similarities and significant differences from the Perou-Sørlie intrinsic types. Subtype I breast cancer was in concordance with chemosensitive basal-like intrinsic type. Adjuvant chemotherapy of lower intensity with CMF yielded survival outcome similar to those of CAF in this subtype. Subtype IV breast cancer was positive for ER with a full-range expression of HER2, responding poorly to CMF; however, this subtype showed excellent survival when treated with CAF. Reduced expression of a gene associated with methotrexate sensitivity in subtype IV was the likely reason for poor response to methotrexate. All subtype V breast cancer was positive for ER and had excellent long-term survival with hormonal therapy alone following surgery and/or radiation therapy. Adjuvant chemotherapy did not provide any survival benefit in early stages of subtype V patients. Subtype V was

  5. Correlation of microarray-based breast cancer molecular subtypes and clinical outcomes: implications for treatment optimization

    International Nuclear Information System (INIS)

    Kao, Kuo-Jang; Chang, Kai-Ming; Hsu, Hui-Chi; Huang, Andrew T

    2011-01-01

    Optimizing treatment through microarray-based molecular subtyping is a promising method to address the problem of heterogeneity in breast cancer; however, current application is restricted to prediction of distant recurrence risk. This study investigated whether breast cancer molecular subtyping according to its global intrinsic biology could be used for treatment customization. Gene expression profiling was conducted on fresh frozen breast cancer tissue collected from 327 patients in conjunction with thoroughly documented clinical data. A method of molecular subtyping based on 783 probe-sets was established and validated. Statistical analysis was performed to correlate molecular subtypes with survival outcome and adjuvant chemotherapy regimens. Heterogeneity of molecular subtypes within groups sharing the same distant recurrence risk predicted by genes of the Oncotype and MammaPrint predictors was studied. We identified six molecular subtypes of breast cancer demonstrating distinctive molecular and clinical characteristics. These six subtypes showed similarities and significant differences from the Perou-Sørlie intrinsic types. Subtype I breast cancer was in concordance with chemosensitive basal-like intrinsic type. Adjuvant chemotherapy of lower intensity with CMF yielded survival outcome similar to those of CAF in this subtype. Subtype IV breast cancer was positive for ER with a full-range expression of HER2, responding poorly to CMF; however, this subtype showed excellent survival when treated with CAF. Reduced expression of a gene associated with methotrexate sensitivity in subtype IV was the likely reason for poor response to methotrexate. All subtype V breast cancer was positive for ER and had excellent long-term survival with hormonal therapy alone following surgery and/or radiation therapy. Adjuvant chemotherapy did not provide any survival benefit in early stages of subtype V patients. Subtype V was consistent with a unique subset of luminal A intrinsic

  6. High prevalence of luminal B breast cancer intrinsic subtype in Colombian women.

    Science.gov (United States)

    Serrano-Gomez, Silvia Juliana; Sanabria-Salas, Maria Carolina; Hernández-Suarez, Gustavo; García, Oscar; Silva, Camilo; Romero, Alejandro; Mejía, Juan Carlos; Miele, Lucio; Fejerman, Laura; Zabaleta, Jovanny

    2016-07-01

    Breast cancer is the most frequent malignancy in women worldwide. Distinct intrinsic subtypes of breast cancer have different prognoses, and their relative prevalence varies significantly among ethnic groups. Little is known about the prevalence of breast cancer intrinsic subtypes and their association with clinicopathological data and genetic ancestry in Latin Americans. Immunohistochemistry surrogates from the 2013 St. Gallen International Expert Consensus were used to classify breast cancers in 301 patients from Colombia into intrinsic subtypes. We analyzed the distribution of subtypes by clinicopathological variables. Genetic ancestry was estimated from a panel of 80 ancestry informative markers. Luminal B breast cancer subtype was the most prevalent in our population (37.2%) followed by luminal A (26.3%), non-basal triple negative (NBTN) (11.6%), basal like (9%), human epidermal growth factor receptor 2 (HER2) enriched (8.6%) and unknown (7.3%). We found statistical significant differences in distribution between Colombian region (P = 0.007), age at diagnosis (P = 0.0139), grade (P studies analyzing the molecular profiles of breast cancer in Colombian women will help us understand the molecular basis of this subtype distribution and compare the molecular characteristics of the different intrinsic subtypes in Colombian patients. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  7. Subtype and pathway specific responses to anticancer compounds in breast cancer.

    Science.gov (United States)

    Heiser, Laura M; Sadanandam, Anguraj; Kuo, Wen-Lin; Benz, Stephen C; Goldstein, Theodore C; Ng, Sam; Gibb, William J; Wang, Nicholas J; Ziyad, Safiyyah; Tong, Frances; Bayani, Nora; Hu, Zhi; Billig, Jessica I; Dueregger, Andrea; Lewis, Sophia; Jakkula, Lakshmi; Korkola, James E; Durinck, Steffen; Pepin, François; Guan, Yinghui; Purdom, Elizabeth; Neuvial, Pierre; Bengtsson, Henrik; Wood, Kenneth W; Smith, Peter G; Vassilev, Lyubomir T; Hennessy, Bryan T; Greshock, Joel; Bachman, Kurtis E; Hardwicke, Mary Ann; Park, John W; Marton, Laurence J; Wolf, Denise M; Collisson, Eric A; Neve, Richard M; Mills, Gordon B; Speed, Terence P; Feiler, Heidi S; Wooster, Richard F; Haussler, David; Stuart, Joshua M; Gray, Joe W; Spellman, Paul T

    2012-02-21

    Breast cancers are comprised of molecularly distinct subtypes that may respond differently to pathway-targeted therapies now under development. Collections of breast cancer cell lines mirror many of the molecular subtypes and pathways found in tumors, suggesting that treatment of cell lines with candidate therapeutic compounds can guide identification of associations between molecular subtypes, pathways, and drug response. In a test of 77 therapeutic compounds, nearly all drugs showed differential responses across these cell lines, and approximately one third showed subtype-, pathway-, and/or genomic aberration-specific responses. These observations suggest mechanisms of response and resistance and may inform efforts to develop molecular assays that predict clinical response.

  8. Breast cancer subtype distribution is different in normal weight, overweight, and obese women.

    Science.gov (United States)

    Gershuni, Victoria; Li, Yun R; Williams, Austin D; So, Alycia; Steel, Laura; Carrigan, Elena; Tchou, Julia

    2017-06-01

    Obesity is associated with tumor promoting pathways related to insulin resistance and chronic low-grade inflammation which have been linked to various disease states, including cancer. Many studies have focused on the relationship between obesity and increased estrogen production, which contributes to the pathogenesis of estrogen receptor-positive breast cancers. The link between obesity and other breast cancer subtypes, such as triple-negative breast cancer (TNBC) and Her2/neu+ (Her2+) breast cancer, is less clear. We hypothesize that obesity may be associated with the pathogenesis of specific breast cancer subtypes resulting in a different subtype distribution than normal weight women. A single-institution, retrospective analysis of tumor characteristics of 848 patients diagnosed with primary operable breast cancer between 2000 and 2013 was performed to evaluate the association between BMI and clinical outcome. Patients were grouped based on their BMI at time of diagnosis stratified into three subgroups: normal weight (BMI = 18-24.9), overweight (BMI = 25-29.9), and obese (BMI > 30). The distribution of breast cancer subtypes across the three BMI subgroups was compared. Obese and overweight women were more likely to present with TNBC and normal weight women with Her2+ breast cancer (p = 0.008). We demonstrated, for the first time, that breast cancer subtype distribution varied significantly according to BMI status. Our results suggested that obesity might activate molecular pathways other than the well-known obesity/estrogen circuit in the pathogenesis of breast cancer. Future studies are needed to understand the molecular mechanisms that drive the variation in subtype distribution across BMI subgroups.

  9. Hormonal modulation of breast cancer gene expression: implications for intrinsic subtyping in pre-menopausal women

    OpenAIRE

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

    2016-01-01

    Clinics are increasingly adopting gene expression profiling to diagnose breast cancer subtype, providing an intrinsic, molecular portrait of the tumour. 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 val...

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

    OpenAIRE

    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 vali...

  11. Distribution And Clinicopathological Features Of Breast Cancer Histological Subtypes In Latvia

    Directory of Open Access Journals (Sweden)

    Srebnijs Andrejs

    2015-04-01

    Full Text Available Breast cancer is a heterogenous disease. It consists of several histological subtypes that can be separated by morphology and immunohistochemistry. The aim of our study was to determine the distribution of breast cancer histological and molecular subtypes, and their relationship with clinical and pathological characteristics. A total of 561 patients who underwent breast carcinoma surgical treatment from January 2003 till December 2012 were enrolled in the study. In total, invasive ductal carcinomas not otherwise specified (IDC-NOS plus invasive ductal carcinomas no special type (IDC-NST were observed in 430 patients (76.65% of cases, medullar carcinoma in 14 patients (2.45%, other rare ductal carcinoma subtypes in 13 patients (2.31%, lobular carcinoma in 81 patients (14.4% and tubulolobular carcinoma in 23 patients (4.19%. Ductal carcinoma, lobular and tubulolobular carcinoma had predominantly luminal A and B subtype, whereas medullar carcinoma had HER2-positive and triple-negative (TN subtype. Tubular, cribriform, mucinous, papillary, and apocrine carcinomas had predominantly luminal A subtype. Significant differences between breast cancer histological subtypes and clinicopathological characteristics were observed. Our study for the first time reported the distribution and characteristics of breast cancer histological subtypes in Latvian women and relationship to clinical and tumour histopathological characteristics.

  12. Greater absolute risk for all subtypes of breast cancer in the US than Malaysia.

    Science.gov (United States)

    Horne, Hisani N; Beena Devi, C R; Sung, Hyuna; Tang, Tieng Swee; Rosenberg, Philip S; Hewitt, Stephen M; Sherman, Mark E; Anderson, William F; Yang, Xiaohong R

    2015-01-01

    Hormone receptor (HR) negative breast cancers are relatively more common in low-risk than high-risk countries and/or populations. However, the absolute variations between these different populations are not well established given the limited number of cancer registries with incidence rate data by breast cancer subtype. We, therefore, used two unique population-based resources with molecular data to compare incidence rates for the 'intrinsic' breast cancer subtypes between a low-risk Asian population in Malaysia and high-risk non-Hispanic white population in the National Cancer Institute's surveillance, epidemiology, and end results 18 registries database (SEER 18). The intrinsic breast cancer subtypes were recapitulated with the joint expression of the HRs (estrogen receptor and progesterone receptor) and human epidermal growth factor receptor-2 (HER2). Invasive breast cancer incidence rates overall were fivefold greater in SEER 18 than in Malaysia. The majority of breast cancers were HR-positive in SEER 18 and HR-negative in Malaysia. Notwithstanding the greater relative distribution for HR-negative cancers in Malaysia, there was a greater absolute risk for all subtypes in SEER 18; incidence rates were nearly 7-fold higher for HR-positive and 2-fold higher for HR-negative cancers in SEER 18. Despite the well-established relative breast cancer differences between low-risk and high-risk countries and/or populations, there was a greater absolute risk for HR-positive and HR-negative subtypes in the US than Malaysia. Additional analytical studies are sorely needed to determine the factors responsible for the elevated risk of all subtypes of breast cancer in high-risk countries like the United States.

  13. Pattern of distant recurrence according to the molecular subtypes in Korean women with breast cancer

    Directory of Open Access Journals (Sweden)

    Park Hyung Seok

    2012-01-01

    Full Text Available Abstract Background Distant recurrence is one of the most important risk factors in overall survival, and distant recurrence is related to a complex biologic interaction of seed and soil factors. The aim of the study was to investigate the association between the molecular subtypes and patterns of distant recurrence in patients with breast cancer. Methods In an investigation of 313 women with breast cancer who underwent surgery from 1994 and 2000, the expressions of estrogen and progestrone receptor (ER/PR, and human epithelial receptor-2 (HER2 were evaluated. The subtypes were defined as luminal-A, luminal-HER2, HER2-enriched, and triple negative breast cancer (TNBC according to ER, PR, and HER2 status. Results Bone was the most common site of distant recurrence. The incidence of first distant recurrence site was significantly different among the subtypes. Brain metastasis was more frequent in the luminal-HER2 and TNBC subtypes. In subgroup analysis, overall survival in patients with distant recurrence after 24 months after surgery was significantly different among the subtypes. Conclusions Organ-specific metastasis may depend on the molecular subtype of breast cancer. Tailored strategies against distant metastasis concerning the molecular subtypes in breast cancer may be considered.

  14. Mammographic Breast Density and Breast Cancer Molecular Subtypes: The Kenyan-African Aspect

    Directory of Open Access Journals (Sweden)

    Asim Jamal Shaikh

    2018-01-01

    Full Text Available Introduction. Data examining mammographic breast density (MBD among patients in Sub-Saharan Africa are sparse. We evaluated how MBD relates to breast cancer characteristics in Kenyan women undergoing diagnostic mammography. Methods. This cross-sectional study included women with pathologically confirmed breast cancers (n=123. Pretreatment mammograms of the unaffected breast were assessed to estimate absolute dense area (cm2, nondense area (cm2, and percent density (PD. Relationships between density measurements and clinical characteristics were evaluated using analysis of covariance. Results. Median PD and dense area were 24.9% and 85.3 cm2. Higher PD and dense area were observed in younger women (P<0.01. Higher dense and nondense areas were observed in obese women (P-trend < 0.01. Estrogen receptor (ER positive patients (73% had higher PD and dense area than ER-negative patients (P≤0.02. Triple negative breast cancer (TNBC patients (17% had lower PD and dense area (P≤0.01 compared with non-TNBCs. No associations were observed between MBD and tumor size and grade. Conclusions. Our findings show discordant relationships between MBD and molecular tumor subtypes to those previously observed in Western populations. The relatively low breast density observed at diagnosis may have important implications for cancer prevention initiatives in Kenya. Subsequent larger studies are needed to confirm these findings.

  15. Hormonal modulation of breast cancer gene expression: implications for intrinsic subtyping in pre-menopausal women

    Directory of Open Access Journals (Sweden)

    Sarah M Bernhardt

    2016-11-01

    Full Text Available Clinics are increasingly adopting gene expression profiling to diagnose breast cancer subtype, providing an intrinsic, molecular portrait of the tumour. 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 post-menopausal 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 pre-menopausal women. Concordance between traditional methods of subtyping and the new tests in pre-menopausal 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 pre-menopausal 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 pre-menopausal women are to benefit from the new technology of intrinsic subtyping.

  16. lncRNA Gene Signatures for Prediction of Breast Cancer Intrinsic Subtypes and Prognosis

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    Silu Zhang

    2018-01-01

    Full Text Available Background: Breast cancer is intrinsically heterogeneous and is commonly classified into four main subtypes associated with distinct biological features and clinical outcomes. However, currently available data resources and methods are limited in identifying molecular subtyping on protein-coding genes, and little is known about the roles of long non-coding RNAs (lncRNAs, which occupies 98% of the whole genome. lncRNAs may also play important roles in subgrouping cancer patients and are associated with clinical phenotypes. Methods: The purpose of this project was to identify lncRNA gene signatures that are associated with breast cancer subtypes and clinical outcomes. We identified lncRNA gene signatures from The Cancer Genome Atlas (TCGA RNAseq data that are associated with breast cancer subtypes by an optimized 1-Norm SVM feature selection algorithm. We evaluated the prognostic performance of these gene signatures with a semi-supervised principal component (superPC method. Results: Although lncRNAs can independently predict breast cancer subtypes with satisfactory accuracy, a combined gene signature including both coding and non-coding genes will give the best clinically relevant prediction performance. We highlighted eight potential biomarkers (three from coding genes and five from non-coding genes that are significantly associated with survival outcomes. Conclusion: Our proposed methods are a novel means of identifying subtype-specific coding and non-coding potential biomarkers that are both clinically relevant and biologically significant.

  17. Fluorescent polymer-based post-translational differentiation and subtyping of breast cancer cells.

    Science.gov (United States)

    Scott, Michael D; Dutta, Rinku; Haldar, Manas K; Wagh, Anil; Gustad, Thomas R; Law, Benedict; Friesner, Daniel L; Mallik, Sanku

    2012-12-07

    Herein, we report the application of synthesized fluorescent, water soluble polymers for post-translational subtyping and differentiation of breast cancer cells in vitro. The fluorescence emission spectra from these polymers were modulated differently in the presence of conditioned cell culture media from various breast cancer cells. These polymers differentiate at a post-translation level possibly due to their ability to interact with extracellular enzymes that are over-expressed in cancerous conditions.

  18. Establishment of a normal-derived estrogen receptor-positive cell line comparable to the prevailing human breast cancer subtype

    DEFF Research Database (Denmark)

    Hopkinson, Branden Michael; Klitgaard, Marie Christine; Petersen, Ole William

    2017-01-01

    Understanding human cancer increasingly relies on insight gained from subtype specific comparisons between malignant and non-malignant cells. The most frequent subtype in breast cancer is the luminal. By far the most frequently used model for luminal breast cancer is the iconic estrogen receptor-...

  19. Prediction consistency and clinical presentations of breast cancer molecular subtypes for Han Chinese population

    Directory of Open Access Journals (Sweden)

    Huang Chi-Cheng

    2012-09-01

    Full Text Available Abstract Background Breast cancer is a heterogeneous disease in terms of transcriptional aberrations; moreover, microarray gene expression profiles had defined 5 molecular subtypes based on certain intrinsic genes. This study aimed to evaluate the prediction consistency of breast cancer molecular subtypes from 3 distinct intrinsic gene sets (Sørlie 500, Hu 306 and PAM50 as well as clinical presentations of each molecualr subtype in Han Chinese population. Methods In all, 169 breast cancer samples (44 from Taiwan and 125 from China of Han Chinese population were gathered, and the gene expression features corresponding to 3 distinct intrinsic gene sets (Sørlie 500, Hu 306 and PAM50 were retrieved for molecular subtype prediction. Results For Sørlie 500 and Hu 306 intrinsic gene set, mean-centring of genes and distance-weighted discrimination (DWD remarkably reduced the number of unclassified cases. Regarding pairwise agreement, the highest predictive consistency was found between Hu 306 and PAM50. In all, 150 and 126 samples were assigned into identical subtypes by both Hu 306 and PAM50 genes, under mean-centring and DWD. Luminal B tended to show a higher nuclear grade and have more HER2 over-expression status than luminal A did. No basal-like breast tumours were ER positive, and most HER2-enriched breast tumours showed HER2 over-expression, whereas, only two-thirds of ER negativity/HER2 over-expression tumros were predicted as HER2-enriched molecular subtype. For 44 Taiwanese breast cancers with survival data, a better prognosis of luminal A than luminal B subtype in ER-postive breast cancers and a better prognosis of basal-like than HER2-enriched subtype in ER-negative breast cancers was observed. Conclusions We suggest that the intrinsic signature Hu 306 or PAM50 be used for breast cancers in the Han Chinese population during molecular subtyping. For the prognostic value and decision making based on intrinsic subtypes, further prospective

  20. Breast cancer in Ethiopia: evidence for geographic difference in the distribution of molecular subtypes in Africa.

    Science.gov (United States)

    Hadgu, Endale; Seifu, Daniel; Tigneh, Wondemagegnhu; Bokretsion, Yonas; Bekele, Abebe; Abebe, Markos; Sollie, Thomas; Merajver, Sofia D; Karlsson, Christina; Karlsson, Mats G

    2018-02-14

    Breast cancer is a heterogeneous disease with several morphological and molecular subtypes. Widely accepted molecular classification system uses assessment of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and proliferation marker Ki67. Few studies have been conducted on the incidence and molecular types of breast cancer in Sub-Saharan Africa. Previous studies mainly from Western and Central Africa, showed breast cancer to occur at younger ages and to present with aggressive features, such as high-grade, advanced stage and triple-negative phenotype (negative for ER, PR and HER2). Limited data from East Africa including Ethiopia however shows hormone receptor negative tumors to account for a lower proportion of all breast cancers than has been reported from elsewhere in Africa. In this study from Tikur Anbessa Specialized Hospital, 114 breast cancer patients diagnosed between 2012 and 2015 were enrolled. ER, PR, Ki67 and HER2 receptor status were assessed using immunohistochemistry from tissue microarrays. FISH was used for assessment of gene amplification in all equivocal tumor samples and for confirmation in HER2-enriched cases. The distribution of molecular subtypes was: Luminal A: 40%; Luminal B: 26%; HER2-enriched: 10%; TNBC: 23%. ER were positive in 65% of all tumors and 43% the cases were positive for PR. There was statistically significant difference in median age at diagnosis between the molecular subtypes (P molecular subtypes in different age ranges with Luminal B subtype being more common at younger ages (median = 36) and Luminal A subtype more prevalent at older ages (median = 42). There were no statistically significant differences in tumor grade, histology, and stage between the molecular subtypes of breast cancer. The present study detected Luminal A breast cancer to be the most common subtype and reveals a relatively low rate of hormone receptor negative and TNBC. Our findings and

  1. SPECIFIC CHARACTERISTICS OF BRAIN METASTASIZING IN PATIENTS WITH LUMINAL SUBTYPE OF BREAST CANCER

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    A. S. Balkanov

    2016-01-01

    Full Text Available Background: More than half of female patients with breast cancer are diagnosed with a  luminal subtype of the disease; however, specific characteristics of its metastases to the brain have been not well studied, unlike those of HER2 positive and triple negative subtypes. Aim: A  comparative analysis of characteristics of metastatic brain lesions in patients with luminal breast cancer. Materials and methods: The time from surgery for breast cancer to the first recurrence and to metastatic brain lesions (assessed by contrast-enhanced MRI imaging was measured in 41 patients with luminal subtype of breast cancer (median age, 49.5±9.6  years, depending on a  diameter of the primary tumor and numbers of involved axillary lymph nodes. Results: The time interval to occurrence of brain metastases in luminal subtype of breast cancer is not associated with the size of the tumor. If≥4  axillary lymph nodes are involved (N2–3, brain metastases are identified much earlier (p<0.05 than in patients with N0–1 (34.5±23.9 months and 62.7±50 months, respectively. Neither the size nor the involvement of axillary lymph nodes has any impact on the rates of metastatic lesion to the brain during the first recurrence. Conclusion: Brain metastases occur at a much shorter time in those patients of luminal subtype of breast cancer who have metastases in≥4  axillary lymph nodes. Brain metastases develop in 50% of patients with the first recurrence of the luminal subtype of breast cancer.

  2. Clinicopathologic Features and Survival of Breast Cancer Subtypes in Northeast Iran

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    Soodabeh Shahidsales

    2018-01-01

    Full Text Available Background: Breast cancer can be categorized into different histopathological subtypes based on gene expression profiles. This study aims to evaluate the clinicopathological features and overall survival of various subtypes of breast cancer to assist diagnosis and guide treatment. Methods: The clinicopathologic features of 1095 patients with breast cancer diagnosed over a 10–year period between 2001 and 2011 were analyzed. The Kaplan–Meier method was used to analyze disease-free survival and overall survival. Calculation of the hazard ratio was conducted by multivariate Cox regression. Results: According to the clinicopathologic characteristics of 1095 cases, there were 42% luminal A subtype, 19.2% luminal B, 23% triple negative, and 15% HER2+. The lowest (46.88±12.59 years and highest (50.54±12.32 years mean ages were in the triple negative and HER2+ groups, respectively. There was a significant correlation between histology subtype and age, BMI, lymph node, type of surgery, and stage of disease. There was significantly shorter overall survival and disease free survival in HER2+ breast cancer patients (P<0.001. Multivariate analysis showed that age had the highest hazard ratio of 2.481 (95% Confidence Interval: 1.375-4.477. Conclusion: The results of this study showed the importance of clinicopathological studies of molecular types which help early diagnosis and identification of the best strategy to treat breast cancer.

  3. Differential Expression Profile of ZFX Variants Discriminates Breast Cancer Subtypes

    Science.gov (United States)

    Pourkeramati, Fatemeh; Asadi, Malek Hossein; Shakeri, Shahryar; Farsinejad, Alireza

    2018-05-13

    ZFX is a transcriptional regulator in embryonic stem cells that plays an important role in pluripotency and self-renewal. ZFX is widely expressed in pluripotent stem cells and is down-regulated during differentiation of embryonic stem cells. ZFX has five different variants that encode three different protein isoforms. While several reports have determined the overexpression of ZFX in a variety of somatic cancers, the expression of ZFX-spliced variants in cancer cells is not well-understood. We investigated the expression of ZFX variants in a series of breast cancer tissues and cell lines using quantitative PCR. The expression of ZFX variant 1/3 was higher in tumor tissue compared to marginal tissue. In contrast, the ZFX variant 5 was down-regulated in tumor tissues. While the ZFX variant 1/3 and ZFX variant 5 expression significantly increased in low-grade tumors, ZFX variant 4 was strongly expressed in high-grade tumors and demonstrating lymphatic invasion. In addition, our result revealed a significant association between the HER2 status and the expression of ZFX-spliced variants. Our data suggest that the expression of ZFX-spliced transcripts varies between different types of breast cancer and may contribute to their tumorigenesis process. Hence, ZFX-spliced transcripts could be considered as novel tumor markers with a probable value in diagnosis, prognosis, and therapy of breast cancer.

  4. Evaluation of the pathological response and prognosis following neoadjuvant chemotherapy in molecular subtypes of breast cancer

    Directory of Open Access Journals (Sweden)

    Zhao Y

    2015-06-01

    Full Text Available Yue Zhao,1 Xiaoqiu Dong,2 Rongguo Li,1 Xiao Ma,1 Jian Song,1 Yingjie Li,3 Dongwei Zhang1 1Department of General Surgery, Second Affiliated Hospital of Harbin Medical University, 2Department of Ultrasonography, Fourth Affiliated Hospital of Harbin Medical University, 3Department of Pathology, Second Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China Background: The pathological complete response of neoadjuvant chemotherapy for breast cancer correlates with the prognosis for survival. Tumors may have different prognoses according to their molecular subtypes. This study was performed to evaluate the relevance of the pathological response and prognosis following neoadjuvant chemotherapy in the molecular subtypes of breast cancer.Methods: A consecutive series of 88 patients with operable breast cancer treated with neoadjuvant chemotherapy was analyzed. Patients were classified into four molecular subtypes based on the immunohistochemistry profile of the estrogen receptor, progesterone receptor, HER2, and Ki-67. The histological response was assessed according to Miller-Payne grading (MPG and Residual Disease in Breast and Nodes (RDBN.Results: Ten patients (11.4% achieved a pathological complete response, assessed according to RDBN. The pathological complete response rate was 13.6% according to MPG. Patients with the triple-negative subtype were more likely to achieve a pathological complete response than those with luminal A breast cancer (P=0.03. MPG and RDBN are independent predictors of distant disease-free survival and local recurrence-free survival, but do not predict overall survival. Ki-67, size of invasive carcinoma, lymph nodes, molecular subtypes, MPG, and RDBN are important predictors of distant disease-free survival, local recurrence-free survival, and overall survival.Conclusion: MPG and RDBN were similarly related to the patient’s prognosis. MPG was more suitable for evaluation of distant disease

  5. A DNA methylation-based definition of biologically distinct breast cancer subtypes.

    Science.gov (United States)

    Stefansson, Olafur A; Moran, Sebastian; Gomez, Antonio; Sayols, Sergi; Arribas-Jorba, Carlos; Sandoval, Juan; Hilmarsdottir, Holmfridur; Olafsdottir, Elinborg; Tryggvadottir, Laufey; Jonasson, Jon G; Eyfjord, Jorunn; Esteller, Manel

    2015-03-01

    In cancer, epigenetic states are deregulated and thought to be of significance in cancer development and progression. We explored DNA methylation-based signatures in association with breast cancer subtypes to assess their impact on clinical presentation and patient prognosis. DNA methylation was analyzed using Infinium 450K arrays in 40 tumors and 17 normal breast samples, together with DNA copy number changes and subtype-specific markers by tissue microarrays. The identified methylation signatures were validated against a cohort of 212 tumors annotated for breast cancer subtypes by the PAM50 method (The Cancer Genome Atlas). Selected markers were pyrosequenced in an independent validation cohort of 310 tumors and analyzed with respect to survival, clinical stage and grade. The results demonstrate that DNA methylation patterns linked to the luminal-B subtype are characterized by CpG island promoter methylation events. In contrast, a large fraction of basal-like tumors are characterized by hypomethylation events occurring within the gene body. Based on these hallmark signatures, we defined two DNA methylation-based subtypes, Epi-LumB and Epi-Basal, and show that they are associated with unfavorable clinical parameters and reduced survival. Our data show that distinct mechanisms leading to changes in CpG methylation states are operative in different breast cancer subtypes. Importantly, we show that a few selected proxy markers can be used to detect the distinct DNA methylation-based subtypes thereby providing valuable information on disease prognosis. Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.

  6. Impact of breast cancer subtypes and patterns of metastasis on outcome.

    Science.gov (United States)

    Kast, Karin; Link, Theresa; Friedrich, Katrin; Petzold, Andrea; Niedostatek, Antje; Schoffer, Olaf; Werner, Carmen; Klug, Stefanie J; Werner, Andreas; Gatzweiler, Axel; Richter, Barbara; Baretton, Gustavo; Wimberger, Pauline

    2015-04-01

    Clinical outcome of patients with stage IV breast cancer is dependent on tumor biology, extent, and localization of metastases. Routine imaging diagnostics for distant metastasis is not recommended by the national guidelines for breast cancer follow-up. In this study, we evaluated different patterns of metastases of cancer subtypes in order to generate hypotheses on individualization of follow-up after breast cancer in the adjuvant setting. Patients of the Regional Breast Cancer Center Dresden diagnosed within the years 2006-2011 were classified into the five intrinsic subtypes luminal A (ER+, Her2-, G1/2), luminal B/Her2 negative (ER+, Her2-, G3), triple positive (ER+, PR+, Her2+), Her2-enriched (ER-, Her2+), and triple negative (ER-, PR-, Her2-) and with a median follow-up of 45 months. Tumor stage at time of first diagnosis of breast cancer as well as time and site of metastasis at first diagnosis of distant metastatic disease was analyzed. Tumor specimen of 2284 female patients with primary breast cancer was classified into five subtypes. Distant recurrence-free survival at 3 years was most unfavorable in Her2-enriched (66.8 %), triple negative (75.9 %), and triple-positive breast cancer (81.7 %). The same subtypes most frequently presented with visceral metastases only at first presentation: Her2-enriched 46.9 %, triple negative 45.5 %, and triple-positive breast cancer 37.5 %. Longest median survival of 2.3 years was seen in luminal A and in Her2-enriched metastatic disease, respectively. Median survival was significantly better in the luminal A, Her2-enriched, and triple-positive subtype compared to triple-negative breast cancer (p < 0.005). Differences in time to metastatic disease, first localization of metastases, and overall survival after diagnosis of metastatic disease were shown. Considering new targeted therapies and the option of surgery of oligometastases, screening for visceral metastases might be reasonable after diagnosis of Her2-positive

  7. Role of IGF1R in breast cancer subtypes, stemness, and lineage differentiation

    Directory of Open Access Journals (Sweden)

    Susan M Farabaugh

    2015-04-01

    Full Text Available Insulin-like growth factor (IGF signaling is fundamental for growth and survival. A large body of evidence (laboratory, epidemiological, and clinical implicates the exploitation of this pathway in cancer. Up to 50% of breast tumors express the activated form of the IGF1 receptor (IGF1R. Breast cancers are categorized into subtypes based upon hormone and ERRB2 receptor expression and/or gene expression profiling. Even though IGF1R influences tumorigenic phenotypes and drug resistance across all breast cancer subtypes, it has specific expression and function in each. In some subtypes, IGF1R levels correlate with a favorable prognosis, while in others it is associated with recurrence and poor prognosis, suggesting different actions based upon cellular and molecular contexts. In this review, we examine IGF1R expression and function as it relates to breast cancer subtype and therapy-acquired resistance. Additionally, we discuss the role of IGF1R in stem cell maintenance and lineage differentiation and how these cell fate influences may alter the differentiation potential and cellular composition of breast tumors.

  8. Differential involvement of RASSF2 hypermethylation in breast cancer subtypes and their prognosis

    Science.gov (United States)

    Perez-Janices, Noemi; Blanco-Luquin, Idoia; Torrea, Natalia; Liechtenstein, Therese; Escors, David; Cordoba, Alicia; Vicente-Garcia, Francisco; Jauregui, Isabel; De La Cruz, Susana; Illarramendi, José Juan; Coca, Valle; Berdasco, Maria; Kochan, Grazyna; Ibañez, Berta; Lera, José Miguel; Guerrero-Setas, David

    2015-01-01

    Breast cancer is a heterogeneous disease that can be subdivided into clinical, histopathological and molecular subtypes (luminal A-like, luminal B-like/HER2-negative, luminal B-like/HER2-positive, HER2-positive, and triple-negative). The study of new molecular factors is essential to obtain further insights into the mechanisms involved in the tumorigenesis of each tumor subtype. RASSF2 is a gene that is hypermethylated in breast cancer and whose clinical value has not been previously studied. The hypermethylation of RASSF1 and RASSF2 genes was analyzed in 198 breast tumors of different subtypes. The effect of the demethylating agent 5-aza-2′-deoxycytidine in the re-expression of these genes was examined in triple-negative (BT-549), HER2 (SK-BR-3), and luminal cells (T-47D). Different patterns of RASSF2 expression for distinct tumor subtypes were detected by immunohistochemistry. RASSF2 hypermethylation was much more frequent in luminal subtypes than in non-luminal tumors (p = 0.001). The re-expression of this gene by lentiviral transduction contributed to the differential cell proliferation and response to antineoplastic drugs observed in luminal compared with triple-negative cell lines. RASSF2 hypermethylation is associated with better prognosis in multivariate statistical analysis (P = 0.039). In conclusion, RASSF2 gene is differently methylated in luminal and non-luminal tumors and is a promising suppressor gene with clinical involvement in breast cancer. PMID:26284587

  9. The Complex Subtype-Dependent Role of Connexin 43 (GJA1 in Breast Cancer

    Directory of Open Access Journals (Sweden)

    Mélanie Busby

    2018-02-01

    Full Text Available Gap junction transmembrane channels allow the transfer of small molecules between the cytoplasm of adjacent cells. They are formed by proteins named connexins (Cxs that have long been considered as a tumor suppressor. This widespread view has been challenged by recent studies suggesting that the role of Connexin 43 (Cx43 in cancer is tissue- and stage-specific and can even promote tumor progression. High throughput profiling of invasive breast cancer has allowed for the construction of subtyping schemes that partition patients into at least four distinct intrinsic subtypes. This study characterizes Cx43 expression during cancer progression with each of the tumor subtypes using a compendium of publicly available gene expression data. In particular, we show that Cx43 expression depends greatly on intrinsic subtype. Tumor grade also co-varies with patient subtype, resulting in Cx43 co-expression with grade in a subtype-dependent manner. Better survival was associated with a high expression of Cx43 in unstratified and luminal tumors but with a low expression in Her2e subtype. A better understanding of Cx43 regulation in a subtype-dependent manner is needed to clarify the context in which Cx43 is associated with tumor suppression or cancer progression.

  10. The Complex Subtype-Dependent Role of Connexin 43 (GJA1) in Breast Cancer

    Science.gov (United States)

    Busby, Mélanie; Hallett, Michael T.; Plante, Isabelle

    2018-01-01

    Gap junction transmembrane channels allow the transfer of small molecules between the cytoplasm of adjacent cells. They are formed by proteins named connexins (Cxs) that have long been considered as a tumor suppressor. This widespread view has been challenged by recent studies suggesting that the role of Connexin 43 (Cx43) in cancer is tissue- and stage-specific and can even promote tumor progression. High throughput profiling of invasive breast cancer has allowed for the construction of subtyping schemes that partition patients into at least four distinct intrinsic subtypes. This study characterizes Cx43 expression during cancer progression with each of the tumor subtypes using a compendium of publicly available gene expression data. In particular, we show that Cx43 expression depends greatly on intrinsic subtype. Tumor grade also co-varies with patient subtype, resulting in Cx43 co-expression with grade in a subtype-dependent manner. Better survival was associated with a high expression of Cx43 in unstratified and luminal tumors but with a low expression in Her2e subtype. A better understanding of Cx43 regulation in a subtype-dependent manner is needed to clarify the context in which Cx43 is associated with tumor suppression or cancer progression. PMID:29495625

  11. Treatment outcome in patients with triple negative early stage breast cancers compared with other molecular subtypes

    International Nuclear Information System (INIS)

    Kim, Ja Young; Chang, Sei Kyung; Lee, Bo Mi; Shin, Hyun Soo; Park, Heily

    2012-01-01

    To determine whether triple negative (TN) early stage breast cancers have poorer survival rates compared with other molecular types. Between August 2000 and July 2006, patients diagnosed with stage I, II early stage breast cancers, in whom all three markers (estrogen receptor, progesterone receptor, and human epidermal growth factor receptor [HER]-2) were available and treated with modified radical mastectomy or breast conserving surgery followed by radiotherapy, were retrospectively reviewed. Of 446 patients, 94 (21.1%) were classified as TN, 57 (12.8%) as HER-2 type, and 295 (66.1%) as luminal. TN was more frequently associated with young patients younger than 35 years old (p = 0.002), higher histologic grade (p 0.05). We found that patients with TN early stage breast cancers had no difference in survival rates compared with other molecular subtypes. Prospective study in homogeneous treatment group will need for a prognosis of TN early stage breast cancer.

  12. Baseline staging tests based on molecular subtype is necessary for newly diagnosed breast cancer.

    Science.gov (United States)

    Chen, Xuesong; Sun, Lichun; Cong, Yingying; Zhang, Tingting; Lin, Qiushi; Meng, Qingwei; Pang, Hui; Zhao, Yanbin; Li, Yu; Cai, Li; Dong, Xiaoqun

    2014-03-17

    Bone scanning (BS), liver ultrasonography (LUS), and chest radiography (CXR) are commonly recommended for baseline staging in patients with newly diagnosed breast cancer. The purpose of this study is to demonstrate whether these tests are indicated for specific patient subpopulation based on clinical staging and molecular subtype. A retrospective study on 5406 patients with newly diagnosed breast cancer was conducted to identify differences in occurrence of metastasis based on clinical staging and molecular subtypes. All patients had been evaluated by BS, LUS and CXR at diagnosis. Complete information on clinical staging was available in 5184 patients. For stage I, II, and III, bone metastasis rate was 0%, 0.6% and 2.7%, respectively (P diagnosed breast cancer.

  13. Identification of Personalized Chemoresistance Genes in Subtypes of Basal-Like Breast Cancer Based on Functional Differences Using Pathway Analysis.

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    Tong Wu

    Full Text Available Breast cancer is a highly heterogeneous disease that is clinically classified into several subtypes. Among these subtypes, basal-like breast cancer largely overlaps with triple-negative breast cancer (TNBC, and these two groups are generally studied together as a single entity. Differences in the molecular makeup of breast cancers can result in different treatment strategies and prognoses for patients with different breast cancer subtypes. Compared with other subtypes, basal-like and other ER+ breast cancer subtypes exhibit marked differences in etiologic factors, clinical characteristics and therapeutic potential. Anthracycline drugs are typically used as the first-line clinical treatment for basal-like breast cancer subtypes. However, certain patients develop drug resistance following chemotherapy, which can lead to disease relapse and death. Even among patients with basal-like breast cancer, there can be significant molecular differences, and it is difficult to identify specific drug resistance proteins in any given patient using conventional variance testing methods. Therefore, we designed a new method for identifying drug resistance genes. Subgroups, personalized biomarkers, and therapy targets were identified using cluster analysis of differentially expressed genes. We found that basal-like breast cancer could be further divided into at least four distinct subgroups, including two groups at risk for drug resistance and two groups characterized by sensitivity to pharmacotherapy. Based on functional differences among these subgroups, we identified nine biomarkers related to drug resistance: SYK, LCK, GAB2, PAWR, PPARG, MDFI, ZAP70, CIITA and ACTA1. Finally, based on the deviation scores of the examined pathways, 16 pathways were shown to exhibit varying degrees of abnormality in the various subgroups, indicating that patients with different subtypes of basal-like breast cancer can be characterized by differences in the functional status of

  14. Refinement of Triple-Negative Breast Cancer Molecular Subtypes: Implications for Neoadjuvant Chemotherapy Selection.

    Directory of Open Access Journals (Sweden)

    Brian D Lehmann

    Full Text Available Triple-negative breast cancer (TNBC is a heterogeneous disease that can be classified into distinct molecular subtypes by gene expression profiling. Considered a difficult-to-treat cancer, a fraction of TNBC patients benefit significantly from neoadjuvant chemotherapy and have far better overall survival. Outside of BRCA1/2 mutation status, biomarkers do not exist to identify patients most likely to respond to current chemotherapy; and, to date, no FDA-approved targeted therapies are available for TNBC patients. Previously, we developed an approach to identify six molecular subtypes TNBC (TNBCtype, with each subtype displaying unique ontologies and differential response to standard-of-care chemotherapy. Given the complexity of the varying histological landscape of tumor specimens, we used histopathological quantification and laser-capture microdissection to determine that transcripts in the previously described immunomodulatory (IM and mesenchymal stem-like (MSL subtypes were contributed from infiltrating lymphocytes and tumor-associated stromal cells, respectively. Therefore, we refined TNBC molecular subtypes from six (TNBCtype into four (TNBCtype-4 tumor-specific subtypes (BL1, BL2, M and LAR and demonstrate differences in diagnosis age, grade, local and distant disease progression and histopathology. Using five publicly available, neoadjuvant chemotherapy breast cancer gene expression datasets, we retrospectively evaluated chemotherapy response of over 300 TNBC patients from pretreatment biopsies subtyped using either the intrinsic (PAM50 or TNBCtype approaches. Combined analysis of TNBC patients demonstrated that TNBC subtypes significantly differ in response to similar neoadjuvant chemotherapy with 41% of BL1 patients achieving a pathological complete response compared to 18% for BL2 and 29% for LAR with 95% confidence intervals (CIs; [33, 51], [9, 28], [17, 41], respectively. Collectively, we provide pre-clinical data that could inform

  15. Age- and Tumor Subtype-Specific Breast Cancer Risk Estimates for CHEK2*1100delC Carriers

    DEFF Research Database (Denmark)

    Schmidt, Marjanka K; Hogervorst, Frans; van Hien, Richard R

    2016-01-01

    PURPOSE: CHEK2*1100delC is a well-established breast cancer risk variant that is most prevalent in European populations; however, there are limited data on risk of breast cancer by age and tumor subtype, which limits its usefulness in breast cancer risk prediction. We aimed to generate tumor...... subtype- and age-specific risk estimates by using data from the Breast Cancer Association Consortium, including 44,777 patients with breast cancer and 42,997 controls from 33 studies genotyped for CHEK2*1100delC. PATIENTS AND METHODS: CHEK2*1100delC genotyping was mostly done by a custom Taqman assay....... Breast cancer odds ratios (ORs) for CHEK2*1100delC carriers versus noncarriers were estimated by using logistic regression and adjusted for study (categorical) and age. Main analyses included patients with invasive breast cancer from population- and hospital-based studies. RESULTS: Proportions...

  16. Molecular Features of Subtype-Specific Progression from Ductal Carcinoma In Situ to Invasive Breast Cancer

    Directory of Open Access Journals (Sweden)

    Robert Lesurf

    2016-07-01

    Full Text Available Breast cancer consists of at least five main molecular “intrinsic” subtypes that are reflected in both pre-invasive and invasive disease. Although previous studies have suggested that many of the molecular features of invasive breast cancer are established early, it is unclear what mechanisms drive progression and whether the mechanisms of progression are dependent or independent of subtype. We have generated mRNA, miRNA, and DNA copy-number profiles from a total of 59 in situ lesions and 85 invasive tumors in order to comprehensively identify those genes, signaling pathways, processes, and cell types that are involved in breast cancer progression. Our work provides evidence that there are molecular features associated with disease progression that are unique to the intrinsic subtypes. We additionally establish subtype-specific signatures that are able to identify a small proportion of pre-invasive tumors with expression profiles that resemble invasive carcinoma, indicating a higher likelihood of future disease progression.

  17. Quantification of Estrogen Receptor Expression in Normal Breast Tissue in Postmenopausal Women With Breast Cancer and Association With Tumor Subtypes.

    Science.gov (United States)

    Gulbahce, H Evin; Blair, Cindy K; Sweeney, Carol; Salama, Mohamed E

    2017-09-01

    Estrogen exposure is important in the pathogenesis of breast cancer and is a contributing risk factor. In this study we quantified estrogen receptor (ER) alpha expression in normal breast epithelium (NBR) in women with breast cancer and correlated it with breast cancer subtypes. Tissue microarrays were constructed from 204 breast cancer patients for whom normal breast tissue away from tumor was available. Slides stained with ER were scanned and expression in normal terminal duct lobular epithelium was quantitated using computer-assisted image analysis. ER expression in normal terminal duct lobular epithelium of postmenopausal women with breast cancer was significantly associated with estrogen and triple (estrogen, progesterone receptors, and HER2) negative phenotypes. Also increased age at diagnosis was significantly associated with ER expression in NBR. ER positivity in normal epithelium did not vary by tumor size, lymph node status, tumor grade, or stage. On the basis of quantitative image analysis, we confirm that ER expression in NBR increases with age in women with breast cancer, and report for the first time, a significant association between ER expression in NBR with ER-negative and triple-negative cancers in postmenopausal women.

  18. Initial experience of automated breast volume scanning (ABVS) and ultrasound elastography in predicting breast cancer subtypes and staging.

    Science.gov (United States)

    Wang, Xiao-Lei; Tao, Lin; Zhou, Xian-Li; Wei, Hong; Sun, Jia-Wei

    2016-12-01

    Breast cancer is a heterogeneous disease consisting of distinct histopathological subtypes with different clinical outcomes. In this article, we identified the automated breast volume scanning (ABVS) and shear wave velocity (SWV) characteristics of different pathological types of breast carcinoma. A retrospective review of both ABVS and SWV imaging of 118 consecutive breast masses was performed. The imaging features of both techniques were assessed with reference to histopathological results. Echo heterogeneity with a smooth and lobulated margin was a significant feature more frequently found in mucinous carcinoma groups (100%, P breast carcinoma stages. The central and tumor margin areas of ductal carcinomas were much harder than in tubular carcinoma and micro-carcinoma, respectively (P breast carcinoma types and stages, ABVS and SWV imaging has the potential to give clues about breast carcinoma differentiation in a non-invasive manner. Copyright © 2016 Elsevier Ltd. All rights reserved.

  19. Identification of breast cancer cell subtypes sensitive to ATG4B inhibition.

    Science.gov (United States)

    Bortnik, Svetlana; Choutka, Courtney; Horlings, Hugo M; Leung, Samuel; Baker, Jennifer H; Lebovitz, Chandra; Dragowska, Wieslawa H; Go, Nancy E; Bally, Marcel B; Minchinton, Andrew I; Gelmon, Karen A; Gorski, Sharon M

    2016-10-11

    Autophagy, a lysosome-mediated degradation and recycling process, functions in advanced malignancies to promote cancer cell survival and contribute to cancer progression and drug resistance. While various autophagy inhibition strategies are under investigation for cancer treatment, corresponding patient selection criteria for these autophagy inhibitors need to be developed. Due to its central roles in the autophagy process, the cysteine protease ATG4B is one of the autophagy proteins being pursued as a potential therapeutic target. In this study, we investigated the expression of ATG4B in breast cancer, a heterogeneous disease comprised of several molecular subtypes. We examined a panel of breast cancer cell lines, xenograft tumors, and breast cancer patient specimens for the protein expression of ATG4B, and found a positive association between HER2 and ATG4B protein expression. We showed that HER2-positive cells, but not HER2-negative breast cancer cells, require ATG4B to survive under stress. In HER2-positive cells, cytoprotective autophagy was dependent on ATG4B under both starvation and HER2 inhibition conditions. Combined knockdown of ATG4B and HER2 by siRNA resulted in a significant decrease in cell viability, and the combination of ATG4B knockdown with trastuzumab resulted in a greater reduction in cell viability compared to trastuzumab treatment alone, in both trastuzumab-sensitive and -resistant HER2 overexpressing breast cancer cells. Together these results demonstrate a novel association of ATG4B positive expression with HER2 positive breast cancers and indicate that this subtype is suitable for emerging ATG4B inhibition strategies.

  20. Metabolic profiles of triple-negative and luminal A breast cancer subtypes in African-American identify key metabolic differences.

    Science.gov (United States)

    Tayyari, Fariba; Gowda, G A Nagana; Olopade, Olufunmilayo F; Berg, Richard; Yang, Howard H; Lee, Maxwell P; Ngwa, Wilfred F; Mittal, Suresh K; Raftery, Daniel; Mohammed, Sulma I

    2018-02-20

    Breast cancer, a heterogeneous disease with variable pathophysiology and biology, is classified into four major subtypes. While hormonal- and antibody-targeted therapies are effective in the patients with luminal and HER-2 subtypes, the patients with triple-negative breast cancer (TNBC) subtype do not benefit from these therapies. The incidence rates of TNBC subtype are higher in African-American women, and the evidence indicates that these women have worse prognosis compared to women of European descent. The reasons for this disparity remain unclear but are often attributed to TNBC biology. In this study, we performed metabolic analysis of breast tissues to identify how TNBC differs from luminal A breast cancer (LABC) subtypes within the African-American and Caucasian breast cancer patients, respectively. We used High-Resolution Magic Angle Spinning (HR-MAS) 1H Nuclear magnetic resonance (NMR) to perform the metabolomic analysis of breast cancer and adjacent normal tissues (total n=82 samples). TNBC and LABC subtypes in African American women exhibited different metabolic profiles. Metabolic profiles of these subtypes were also distinct from those revealed in Caucasian women. TNBC in African-American women expressed higher levels of glutathione, choline, and glutamine as well as profound metabolic alterations characterized by decreased mitochondrial respiration and increased glycolysis concomitant with decreased levels of ATP. TNBC in Caucasian women was associated with increased pyrimidine synthesis. These metabolic alterations could potentially be exploited as novel treatment targets for TNBC.

  1. {sup 18}F-FDG uptake in breast cancer correlates with immunohistochemically defined subtypes

    Energy Technology Data Exchange (ETDEWEB)

    Koo, Hye Ryoung [Seoul National University College of Medicine, Department of Radiology, Seoul (Korea, Republic of); Hanyang University College of Medicine, Department of Radiology, Seoul (Korea, Republic of); Park, Jeong Seon [Hanyang University College of Medicine, Department of Radiology, Seoul (Korea, Republic of); Kang, Keon Wook [Seoul National University College of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of); Cho, Nariya; Chang, Jung Min; Bae, Min Sun; Kim, Won Hwa; Lee, Su Hyun; Seo, Mirinae; Moon, Woo Kyung [Seoul National University College of Medicine, Department of Radiology, Seoul (Korea, Republic of); Kim, Mi Young [Konkuk University Medical Center, Department of Radiology, Seoul (Korea, Republic of); Kim, Jin You [Pusan National University Hospital, Department of Radiology, Pusan (Korea, Republic of)

    2014-03-15

    To determine whether a correlation exists between maximum standardized uptake value (SUV{sub max}) on {sup 18}F-fluorodeoxyglucose positron emission tomography (FDG-PET) and the subtypes of breast cancer. This retrospective study involved 548 patients (mean age 51.6 years, range 21-81 years) with 552 index breast cancers (mean size 2.57 cm, range 1.0-14.5 cm). The correlation between {sup 18}F-FDG uptake in PET/CT, expressed as SUV{sub max}, and immunohistochemically defined subtypes (luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) positive and triple negative) was analyzed. The mean SUV{sub max} value of the 552 tumours was 6.07 ± 4.63 (range 0.9-32.8). The subtypes of the 552 tumours were 334 (60 %) luminal A, 66 (12 %) luminal B, 60 (11 %) HER2 positive and 92 (17 %) triple negative, for which the mean SUV{sub max} values were 4.69 ± 3.45, 6.51 ± 4.18, 7.44 ± 4.73 and 9.83 ± 6.03, respectively. In a multivariate regression analysis, triple-negative and HER2-positive tumours had 1.67-fold (P < 0.001) and 1.27-fold (P = 0.009) higher SUV{sub max} values, respectively, than luminal A tumours after adjustment for invasive tumour size, lymph node involvement status and histologic grade. FDG uptake was independently associated with subtypes of invasive breast cancer. Triple-negative and HER2-positive breast cancers showed higher SUV{sub max} values than luminal A tumours. circle {sup 18} F-FDG PET demonstrates increased tissue glucose metabolism, a hallmark of cancers. (orig.)

  2. 18F-FDG uptake in breast cancer correlates with immunohistochemically defined subtypes

    International Nuclear Information System (INIS)

    Koo, Hye Ryoung; Park, Jeong Seon; Kang, Keon Wook; Cho, Nariya; Chang, Jung Min; Bae, Min Sun; Kim, Won Hwa; Lee, Su Hyun; Seo, Mirinae; Moon, Woo Kyung; Kim, Mi Young; Kim, Jin You

    2014-01-01

    To determine whether a correlation exists between maximum standardized uptake value (SUV max ) on 18 F-fluorodeoxyglucose positron emission tomography (FDG-PET) and the subtypes of breast cancer. This retrospective study involved 548 patients (mean age 51.6 years, range 21-81 years) with 552 index breast cancers (mean size 2.57 cm, range 1.0-14.5 cm). The correlation between 18 F-FDG uptake in PET/CT, expressed as SUV max , and immunohistochemically defined subtypes (luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) positive and triple negative) was analyzed. The mean SUV max value of the 552 tumours was 6.07 ± 4.63 (range 0.9-32.8). The subtypes of the 552 tumours were 334 (60 %) luminal A, 66 (12 %) luminal B, 60 (11 %) HER2 positive and 92 (17 %) triple negative, for which the mean SUV max values were 4.69 ± 3.45, 6.51 ± 4.18, 7.44 ± 4.73 and 9.83 ± 6.03, respectively. In a multivariate regression analysis, triple-negative and HER2-positive tumours had 1.67-fold (P max values, respectively, than luminal A tumours after adjustment for invasive tumour size, lymph node involvement status and histologic grade. FDG uptake was independently associated with subtypes of invasive breast cancer. Triple-negative and HER2-positive breast cancers showed higher SUV max values than luminal A tumours. circle 18 F-FDG PET demonstrates increased tissue glucose metabolism, a hallmark of cancers. (orig.)

  3. MRI and pathological features of different molecular subtypes of breast cancers

    International Nuclear Information System (INIS)

    Yu Yang; Huo Tianlong; Lai Yunyao; Hong Nan

    2014-01-01

    Objective: To investigate the MRI and pathological features of different molecular subtypes of breast cancer. Methods: The data of 202 patients who underwent primary breast cancer resection were retrospectively reviewed. All of the patients had MRI preoperatively. The molecular subtypes of breast cancer defined by immunohistochemistry were classified as basal-like, luminal and HER-2 overexpression. Morphology (including mass or non-mass like enhancement, shape and margin of masses, unifocal or multifocal masses) and enhancement characteristics on MRI, histologic types and grades of tumors were analyzed with Chi-square test, exact test, Fisher exact test, Kruskal-Wallis H test, and Wilcoxon test. Results: Among the 202 patients, 34 were basal-like, 144 were luminal and 24 were HER-2 overexpression. The number of mass cases in each subtype was 29, 133 and 19 respectively,making no significant difference (χ 2 =4.136, P=0.126). As for the shape of basal-like lesions,8 were round,19 were lobular and 2 were irregular, while this distribution was 23, 58, 52 in luminal subtype and 1, 11, 7 in HER-2 overexpression subtype (χ 2 =13.391, P<0.05). The margin was also strikingly different among three groups (smooth, spiculate, irregular): 20, 5, 4 respectively in basal-like, 27, 53, 53 respectively in luminal, and 4, 7, 8 respectively in HER-2 overexpression (χ 2 =28.515, P<0.01). 52.6% (10/19) of HER-2 overexpression cases were multifocal, while only 6.9% (2/29) of luminal and 8.0% (24/133) of basal-like ones were multifocal (χ 2 =16.140, P<0.01). Characteristics in dynamic contrast-enhanced MRI were statistically different, with homogeneous, heterogeneous, and rim enhancement 0, 13, 16 respectively in basal-like cases, 28, 93, 11 respectively in luminal cases and 2, 11, 6 respectively in HER-2 overexpression cases (P<0.01). However, the difference for enhancement curve did not reach significance (P =0.457). Histologic types were significantly different among molecular

  4. Distinct distribution and prognostic significance of molecular subtypes of breast cancer in Chinese women: a population-based cohort study

    Directory of Open Access Journals (Sweden)

    Cai Qiuyin

    2011-07-01

    Full Text Available Abstract Background Molecular classification of breast cancer is an important prognostic factor. The distribution of molecular subtypes of breast cancer and their prognostic value has not been well documented in Asians. Methods A total of 2,791 breast cancer patients recruited for a population-based cohort study were evaluated for molecular subtypes of breast cancer by immunohistochemical assays. Data on clinicopathological characteristics were confirmed by centralized pathology review. The average follow-up of the patients was 53.4 months. Overall and disease-free survival by molecular subtypes of breast cancer were evaluated. Results The prevalence of the luminal A, luminal B, human epidermal growth factor receptor 2 (HER2, and triple-negative subtypes were 48.6%, 16.7%, 13.7%, and 12.9%, respectively. The luminal A subtype was more likely to be diagnosed in older women (P = 0.03 and had a stronger correlation with favorable clinicopathological factors (smaller tumor size, lower histologic grade, and earlier TNM stage than the triple-negative or HER2 subtypes. Women with triple-negative breast cancer had a higher frequency of family history of breast cancer than women with other subtypes (P = 0.048. The 5-year overall/disease-free survival percentages for the luminal A, luminal B, HER2, and triple-negative subtypes were 92.9%/88.6%, 88.6%/85.1%, 83.2%/79.1%, and 80.7%/76.0%, respectively. A similar pattern was observed in multivariate analyses. Immunotherapy was associated with improved overall and disease-free survival for luminal A breast cancer, but reduced disease-free survival (HR = 2.21, 95% CI, 1.09-4.48 for the HER2 subtype of breast cancer. Conclusions The triple-negative and HER2 subtypes were associated with poorer outcomes compared with the luminal A subtype among these Chinese women. The HER2 subtype was more prevalent in this Chinese population compared with Western populations, suggesting the importance of standardized HER2

  5. RRHGE: A Novel Approach to Classify the Estrogen Receptor Based Breast Cancer Subtypes

    Directory of Open Access Journals (Sweden)

    Ashish Saini

    2014-01-01

    Full Text Available Background. Breast cancer is the most common type of cancer among females with a high mortality rate. It is essential to classify the estrogen receptor based breast cancer subtypes into correct subclasses, so that the right treatments can be applied to lower the mortality rate. Using gene signatures derived from gene interaction networks to classify breast cancers has proven to be more reproducible and can achieve higher classification performance. However, the interactions in the gene interaction network usually contain many false-positive interactions that do not have any biological meanings. Therefore, it is a challenge to incorporate the reliability assessment of interactions when deriving gene signatures from gene interaction networks. How to effectively extract gene signatures from available resources is critical to the success of cancer classification. Methods. We propose a novel method to measure and extract the reliable (biologically true or valid interactions from gene interaction networks and incorporate the extracted reliable gene interactions into our proposed RRHGE algorithm to identify significant gene signatures from microarray gene expression data for classifying ER+ and ER− breast cancer samples. Results. The evaluation on real breast cancer samples showed that our RRHGE algorithm achieved higher classification accuracy than the existing approaches.

  6. Monitoring tumor response to neoadjuvant chemotherapy using MRI and 18F-FDG PET/CT in breast cancer subtypes

    NARCIS (Netherlands)

    Schmitz, Alexander M. Th; Teixeira, Suzana C.; Pengel, Kenneth E.; Loo, Claudette E.; Vogel, Wouter V.; Wesseling, Jelle; Rutgers, Emiel J. Th; Valdés Olmos, Renato A.; Sonke, Gabe S.; Rodenhuis, Sjoerd; Vrancken Peeters, Marie Jeanne T. F. D.; Gilhuijs, Kenneth G. A.

    2017-01-01

    To explore guidelines on the use of MRI and PET/CT monitoring primary tumor response to neoadjuvant chemotherapy (NAC), taking breast cancer subtype into account. In this prospective cohort study, 188 women were included with stages II and III breast cancer. MRI and 18F-FDG-PET/CT were acquired

  7. Monitoring tumor response to neoadjuvant chemotherapy using MRI and 18F-FDG PET/CT in breast cancer subtypes

    NARCIS (Netherlands)

    Schmitz, Alexander M Th; Teixeira, Suzana C; Pengel, Kenneth E; Loo, Claudette E; Vogel, Wouter V; Wesseling, Jelle; Rutgers, Emiel J Th; Valdés Olmos, Renato A; Sonke, Gabe S; Rodenhuis, Sjoerd; Vrancken Peeters, Marie Jeanne T F D; Gilhuijs, Kenneth G A

    2017-01-01

    PURPOSE: To explore guidelines on the use of MRI and PET/CT monitoring primary tumor response to neoadjuvant chemotherapy (NAC), taking breast cancer subtype into account. MATERIALS AND METHODS: In this prospective cohort study, 188 women were included with stages II and III breast cancer. MRI and

  8. Racial Differences in PAM50 Subtypes in the Carolina Breast Cancer Study.

    Science.gov (United States)

    Troester, Melissa A; Sun, Xuezheng; Allott, Emma H; Geradts, Joseph; Cohen, Stephanie M; Tse, Chiu-Kit; Kirk, Erin L; Thorne, Leigh B; Mathews, Michelle; Li, Yan; Hu, Zhiyuan; Robinson, Whitney R; Hoadley, Katherine A; Olopade, Olufunmilayo I; Reeder-Hayes, Katherine E; Earp, H Shelton; Olshan, Andrew F; Carey, Lisa A; Perou, Charles M

    2018-02-01

    African American breast cancer patients have lower frequency of hormone receptor-positive (HR+)/human epidermal growth factor receptor 2 (HER2)-negative disease and higher subtype-specific mortality. Racial differences in molecular subtype within clinically defined subgroups are not well understood. Using data and biospecimens from the population-based Carolina Breast Cancer Study (CBCS) Phase 3 (2008-2013), we classified 980 invasive breast cancers using RNA expression-based PAM50 subtype and recurrence (ROR) score that reflects proliferation and tumor size. Molecular subtypes (Luminal A, Luminal B, HER2-enriched, and Basal-like) and ROR scores (high vs low/medium) were compared by race (blacks vs whites) and age (≤50 years vs > 50 years) using chi-square tests and analysis of variance tests. Black women of all ages had a statistically significantly lower frequency of Luminal A breast cancer (25.4% and 33.6% in blacks vs 42.8% and 52.1% in whites; younger and older, respectively). All other subtype frequencies were higher in black women (case-only odds ratio [OR] = 3.11, 95% confidence interval [CI] = 2.22 to 4.37, for Basal-like; OR = 1.45, 95% CI = 1.02 to 2.06, for Luminal B; OR = 2.04, 95% CI = 1.33 to 3.13, for HER2-enriched). Among clinically HR+/HER2- cases, Luminal A subtype was less common and ROR scores were statistically significantly higher among black women. Multigene assays highlight racial disparities in tumor subtype distribution that persist even in clinically defined subgroups. Differences in tumor biology (eg, HER2-enriched status) may be targetable to reduce disparities among clinically ER+/HER2- cases. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

  9. Preoperative core needle biopsy is accurate in determining molecular subtypes in invasive breast cancer

    International Nuclear Information System (INIS)

    Chen, Xiaosong; Yuan, Ying; Fei, Xiaochun; Jin, Xiaolong; Shen, Kunwei; Sun, Long; Mao, Yan; Zhu, Siji; Wu, Jiayi; Huang, Ou; Li, Yafen; Chen, Weiguo; Wang, Jianhua

    2013-01-01

    Estrogen receptor (ER), progesterone receptor (PgR), HER2, and Ki67 have been increasingly evaluated by core needle biopsy (CNB) and are recommended for classifying breast cancer into molecular subtypes. However, the concordance rate between CNB and open excision biopsy (OEB) has not been well documented. Patients with paired CNB and OEB samples from Oct. 2009 to Feb. 2012 in Ruijin Hospital were included. ER, PgR, HER2, and Ki67 were determined by immunohistochemistry (IHC). Patients with HER2 IHC 2+ were further examined by FISH. Cutoff value for Ki67 high expression was 14%. Molecular subtypes were constructed as follows: Luminal A, Luminal B, Triple Negative, and HER2 positive. There were 298 invasive breast cancer patients analyzed. Concordance rates for ER, PgR, and HER2 were 93.6%, 85.9%, and 96.3%, respectively. Ki67 expression was slightly higher in OEB than in CNB samples (29.3% vs. 26.8%, P = 0.046). Good agreement (κ = 0.658) was demonstrated in evaluating molecular subtypes between CNB and OEB, with a concordance rate of 77.2%. We also used a different Ki67 cutoff value (20%) for determining Luminal A and B subtypes in HR (hormone receptor) +/HER2- diseases and the overall concordance rate was 79.2%. However, using a cut-point of Ki67 either 14% or 20% for both specimens, there will be about 14% of HR+/HER2- specimens that are called Luminal A on CNB and Luminal B on OEB. CNB was accurate in determining ER, PgR, and HER2 status as well as non-Luminal molecular subtypes in invasive breast cancer. Ki67 should be retested on OEB samples in HR+/HER2- patients to accurately distinguish Luminal A from B tumors

  10. Subtype classification for prediction of prognosis of breast cancer from a biomarker panel: correlations and indications

    Directory of Open Access Journals (Sweden)

    Chen C

    2014-02-01

    Full Text Available Chuang Chen,1 Jing-Ping Yuan,2,3 Wen Wei,1 Yi Tu,1 Feng Yao,1 Xue-Qin Yang,4 Jin-Zhong Sun,1 Sheng-Rong Sun,1 Yan Li2 1Department of Breast and Thyroid Surgery, Wuhan University, Renmin Hospital, Wuhan, 2Department of Oncology, Zhongnan Hospital of Wuhan University and Hubei Key Laboratory of Tumor Biological Behaviors and Hubei Cancer Clinical Study Center, Wuhan, 3Department of Pathology, The Central Hospital of Wuhan, Wuhan, 4Medical School of Jingchu University of Technology, Jingmen, People’s Republic of China Background: Hormone receptors, including the estrogen receptor and progesterone receptor, human epidermal growth factor receptor 2 (HER2, and other biomarkers like Ki67, epidermal growth factor receptor (EGFR, also known as HER1, the androgen receptor, and p53, are key molecules in breast cancer. This study evaluated the relationship between HER2 and hormone receptors and explored the additional prognostic value of Ki67, EGFR, the androgen receptor, and p53. Methods: Quantitative determination of HER2 and EGFR was performed in 240 invasive breast cancer tissue microarray specimens using quantum dot (QD-based nanotechnology. We identified two subtypes of HER2, ie, high total HER2 load (HTH2 and low total HER2 load (LTH2, and three subtypes of hormone receptor, ie, high hormone receptor (HHR, low hormone receptor (LHR, and no hormone receptor (NHR. Therefore, breast cancer patients could be divided into five subtypes according to HER2 and hormone receptor status. Ki67, p53, and the androgen receptor were determined by traditional immunohistochemistry techniques. The relationship between hormone receptors and HER2 was investigated and the additional value of Ki67, EGFR, the androgen receptor, and p53 for prediction of 5-year disease-free survival was assessed. Results: In all patients, quantitative determination showed a statistically significant (P<0.001 negative correlation between HER2 and the hormone receptors and a significant

  11. Molecular subtyping of breast cancer improves identification of both high and low risk patients

    DEFF Research Database (Denmark)

    Rossing, Maria; Østrup, Olga; Majewski, Wiktor W.

    2018-01-01

    classification and final reports were available prior to the multidisciplinary conference. Using a prognostic standard mortality rate index (PSMRi) developed by the Danish Breast Cancer Group (DBCG) 39 patients were assigned with an intermediate risk and among these 16 (41%) were furthermore diagnosed...... by the multi-gene signature assigned with a luminal A tumor and consequently spared adjuvant chemotherapy. There was overall agreement between mRNA derived and IHC hormone receptor status, whereas IHC Ki67 protein proliferative index proved inaccurate, compared to the mRNA derived index. Forty-one patients...... with basal-like (basL) subtypes were screened for predisposing mutations regardless of clinical predisposition. Of those 17% carried pathogenic mutations. Conclusion: Transcriptome based subtyping of breast tumors evidently reduces the need for adjuvant chemotherapy and improves identification of women...

  12. Risk Differences Between Prediabetes And Diabetes According To Breast Cancer Molecular Subtypes.

    Science.gov (United States)

    Crispo, A; Augustin, L S A; Grimaldi, M; Nocerino, F; Giudice, A; Cavalcanti, E; Di Bonito, M; Botti, G; De Laurentiis, M; Rinaldo, M; Esposito, E; Riccardi, G; Amore, A; Libra, M; Ciliberto, G; Jenkins, D J A; Montella, M

    2017-05-01

    Hyperglycemia and hyperinsulinemia may play a role in breast carcinogenesis and prediabetes and diabetes have been associated with increased breast cancer (BC) risk. However, whether BC molecular subtypes may modify these associations is less clear. We therefore investigated these associations in all cases and by BC molecular subtypes among women living in Southern Italy. Cases were 557 patients with non-metastatic incident BC and controls were 592 outpatients enrolled during the same period as cases and in the same hospital for skin-related non-malignant conditions. Adjusted multivariate logistic regression models were built to assess the risks of developing BC in the presence of prediabetes or diabetes. The analyses were repeated by strata of BC molecular subtypes: Luminal A, Luminal B, HER2+, and Triple Negative (TN). Prediabetes and diabetes were significantly associated with higher BC incidence after controlling for known risk factors (OR = 1.94, 95% CI 1.32-2.87 and OR = 2.46, 95% CI 1.38-4.37, respectively). Similar results were seen in Luminal A and B while in the TN subtype only prediabetes was associated with BC (OR = 2.43, 95% CI 1.11-5.32). Among HER2+ patients, only diabetes was significantly associated with BC risk (OR = 3.04, 95% CI 1.24-7.47). Furthermore, when postmenopausal HER2+ was split into hormone receptor positive versus negative, the association with diabetes remained significant only in the former (OR = 5.13, 95% CI 1.53-17.22). These results suggest that prediabetes and diabetes are strongly associated with BC incidence and that these metabolic conditions may be more relevant in the presence of breast cancer molecular subtypes with positive hormone receptors. J. Cell. Physiol. 232: 1144-1150, 2017. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  13. Survival differences of CIMP subtypes integrated with CNA information in human breast cancer.

    Science.gov (United States)

    Wang, Huihan; Yan, Weili; Zhang, Shumei; Gu, Yue; Wang, Yihan; Wei, Yanjun; Liu, Hongbo; Wang, Fang; Wu, Qiong; Zhang, Yan

    2017-07-25

    CpG island methylator phenotype of breast cancer is associated with widespread aberrant methylation at specified CpG islands and distinct patient outcomes. However, the influence of copy number contributing to the prognosis of tumors with different CpG island methylator phenotypes is still unclear. We analyzed both genetic (copy number) and epigenetic alterations in 765 breast cancers from The Cancer Genome Atlas data portal and got a panel of 15 biomarkers for copy number and methylation status evaluation. The gene panel identified two groups corresponding to distinct copy number profiles. In status of mere-loss copy number, patients were faced with a greater risk if they presented a higher CpG islands methylation pattern in biomarker panels. But for samples presenting merely-gained copy number, higher methylation level of CpG islands was associated with improved viability. In all, the integration of copy number alteration and methylation information enhanced the classification power on prognosis. Moreover, we found the molecular subtypes of breast cancer presented different distributions in two CpG island methylation phenotypes. Generated by the same set of human methylation 450K data, additional copy number information could provide insights into survival prediction of cancers with less heterogeneity and might help to determine the biomarkers for diagnosis and treatment for breast cancer patients in a more personalized approach.

  14. Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes.

    Directory of Open Access Journals (Sweden)

    Wei-Ching Lo

    Full Text Available The purpose of this study is to evaluate the predictive performance of magnetic resonance imaging (MRI markers in breast cancer patients by subtype. Sixty-four patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy were enrolled in this study. Each patient received a dynamic contrast-enhanced (DCE-MRI at baseline, after 1 cycle of chemotherapy and before surgery. Functional tumor volume (FTV, the imaging marker measured by DCE-MRI, was computed at various thresholds of percent enhancement (PEt and signal-enhancement ratio (SERt. Final FTV before surgery and percent changes of FTVs at the early and final treatment time points were used to predict patients' recurrence-free survival. The full cohort and each subtype defined by the status of hormone receptor and human epidermal growth factor receptor 2 (HR+/HER2-, HER2+, triple negative were analyzed. Predictions were evaluated using the Cox proportional hazard model when PEt changed from 30% to 200% in steps of 10% and SERt changed from 0 to 2 in steps of 0.2. Predictions with high hazard ratios and low p-values were considered as strong. Different profiles of FTV as predictors for recurrence-free survival were observed in each breast cancer subtype and strong associations with survival were observed at different PEt/SERt combinations that resulted in different FTVs. Findings from this retrospective study suggest that the predictive performance of imaging markers based on FTV may be improved with enhancement thresholds being optimized separately for clinically-relevant subtypes defined by HR and HER2 receptor expression.

  15. Breast Cancer Subtype Specific Classifiers of Response to Neoadjuvant Chemotherapy Do Not Outperform Classifiers Trained on All Subtypes

    NARCIS (Netherlands)

    de Ronde, Jorma J.; Bonder, Marc Jan; Lips, Esther H.; Rodenhuis, Sjoerd; Wessels, Lodewyk F. A.

    2014-01-01

    Introduction: Despite continuous efforts, not a single predictor of breast cancer chemotherapy resistance has made it into the clinic yet. However, it has become clear in recent years that breast cancer is a collection of molecularly distinct diseases. With ever increasing amounts of breast cancer

  16. Long Non-Coding RNA TUG1 Expression Is Associated with Different Subtypes in Human Breast Cancer.

    Science.gov (United States)

    Gradia, Daniela F; Mathias, Carolina; Coutinho, Rodrigo; Cavalli, Iglenir J; Ribeiro, Enilze M S F; de Oliveira, Jaqueline C

    2017-12-20

    Taurine upregulated 1 gene ( TUG1 ) is a long non-coding RNA associated with several types of cancer. Recently, differential expression of TUG1 was found in cancerous breast tissues and associated with breast cancer malignancy features. Although this is evidence of a potential role in breast cancer, TUG1 expression could not be associated with different subtypes, possibly due to the small number of samples analyzed. Breast cancer is a heterogeneous disease and, based on molecular signatures, may be classified into different subtypes with prognostic implications. In the present study, we include analysis of TUG1 expression in 796 invasive breast carcinoma and 105 normal samples of RNA sequencing (RNA-seq) datasets from The Cancer Genome Atlas (TCGA) and describe that TUG1 expression is increased in HER2-enriched and basal-like subtypes compared to luminal A. Additionally, TUG1 expression is associated with survival in HER2-enriched patients. These results reinforce the importance of TUG1 in breast cancer and outline its potential impact on specific subtypes.

  17. Long Non-Coding RNA TUG1 Expression Is Associated with Different Subtypes in Human Breast Cancer

    Directory of Open Access Journals (Sweden)

    Daniela F. Gradia

    2017-12-01

    Full Text Available Taurine upregulated 1 gene (TUG1 is a long non-coding RNA associated with several types of cancer. Recently, differential expression of TUG1 was found in cancerous breast tissues and associated with breast cancer malignancy features. Although this is evidence of a potential role in breast cancer, TUG1 expression could not be associated with different subtypes, possibly due to the small number of samples analyzed. Breast cancer is a heterogeneous disease and, based on molecular signatures, may be classified into different subtypes with prognostic implications. In the present study, we include analysis of TUG1 expression in 796 invasive breast carcinoma and 105 normal samples of RNA sequencing (RNA-seq datasets from The Cancer Genome Atlas (TCGA and describe that TUG1 expression is increased in HER2-enriched and basal-like subtypes compared to luminal A. Additionally, TUG1 expression is associated with survival in HER2-enriched patients. These results reinforce the importance of TUG1 in breast cancer and outline its potential impact on specific subtypes.

  18. The Prognostic Impact of Molecular Subtypes and Very Young Age on Breast Conserving Surgery in Early Stage Breast Cancer

    Science.gov (United States)

    McGuire, Kandace; Alco, Gul; Nur Pilanci, Kezban; Koksal, Ulkuhan I; Elbüken, Filiz; Erdogan, Zeynep; Agacayak, Filiz; Ilgun, Serkan; Sarsenov, Dauren; Öztürk, Alper; İğdem, Şefik; Okkan, Sait; Eralp, Yeşim; Dincer, Maktav; Ozmen, Vahit

    2016-01-01

    Background Premenopausal breast cancer with a triple-negative phenotype (TNBC) has been associated with inferior locoregional recurrence free survival (LRFS) and overall survival (OS) after breast conserving surgery (BCS). The aim of this study is to analyze the association between age, subtype, and surgical treatment on survival in young women (≤40 years) with early breast cancer in a population with a high rate of breast cancer in young women. Methods Three hundred thirty-two patients ≤40 years old with stage I-II invasive breast cancer who underwent surgery at a single institution between 1998 and 2012 were identified retrospectively. Uni- and multivariate analysis evaluated predictors of LRFS, OS, and disease free survival (DFS). Results Most patients (64.2%) underwent BCS. Mean age and follow-up time were 35 (25 ± 3.61) years, and 72 months (range, 24–252), respectively. In multivariate analysis, multicentricity/multifocality and young age (<35 years) independently predicted for poorer DFS and OS. Those aged 35–40 years had higher LRFS and DFS than those <35 in the mastectomy group (p=0.007 and p=0.039, respectively). Patients with TNBC had lower OS compared with patients with luminal A subtype (p=0.042), and those who underwent BCS had higher OS than patients after mastectomy (p=0.015). Conclusion Young age (< 35 years) is an independent predictor of poorer OS and DFS as compared with ages 35–40, even in countries with a lower average age of breast cancer presentation. In addition, TNBC in the young predicts for poorer OS. BCS can be performed in young patients with TNBC, despite their poorer overall survival. PMID:27433412

  19. IDH2 Mutations Define a Unique Subtype of Breast Cancer with Altered Nuclear Polarity

    Science.gov (United States)

    Chiang, Sarah; Weigelt, Britta; Wen, Huei-Chi; Pareja, Fresia; Raghavendra, Ashwini; Martelotto, Luciano G.; Burke, Kathleen A.; Basili, Thais; Li, Anqi; Geyer, Felipe C.; Piscuoglio, Salvatore; Ng, Charlotte K.Y.; Jungbluth, Achim A.; Balss, Jörg; Pusch, Stefan; Baker, Gabrielle M.; Cole, Kimberly S.; von Deimling, Andreas; Batten, Julie M.; Marotti, Jonathan D.; Soh, Hwei-Choo; McCalip, Benjamin L.; Serrano, Jonathan; Lim, Raymond S.; Siziopikou, Kalliopi P.; Lu, Song; Liu, Xiaolong; Hammour, Tarek; Brogi, Edi; Snuderl, Matija; Iafrate, A. John; Reis-Filho, Jorge S.; Schnitt, Stuart J.

    2017-01-01

    Solid papillary carcinoma with reverse polarity (SPCRP) is a rare breast cancer subtype with an obscure etiology. In this study, we sought to describe its unique histopathologic features and to identify the genetic alterations that underpin SPCRP using massively parallel whole-exome and targeted sequencing. The morphologic and immunohistochemical features of SPCRP support the invasive nature of this subtype. Ten of 13 (77%) SPCRPs harbored hotspot mutations at R172 of the isocitrate dehydrogenase IDH2, of which 8 of 10 displayed concurrent pathogenic mutations affecting PIK3CA or PIK3R1. One of the IDH2 wild-type SPCRPs harbored a TET2 Q548* truncating mutation coupled with a PIK3CA H1047R mutation. Functional studies demonstrated that IDH2 and PIK3CA hotspot mutations are likely drivers of SPCRP, resulting in its reversed nuclear polarization phenotype. Our results offer a molecular definition of SPCRP as a distinct breast cancer subtype. Concurrent IDH2 and PIK3CA mutations may help diagnose SPCRP and possibly direct effective treatment. PMID:27913435

  20. Can Histological Grade and Mitotic Index Replace Ki67 to Determine Luminal Breast Cancer Subtypes?

    Science.gov (United States)

    Oddó, David; Pulgar, Dahiana; Elgueta, Nicole; Acevedo, Francisco; Razmiliz, Dravna; Navarro, María Elena; Camus, Mauricio; Merino, Tomás; Retamal, Ignacio; Pérez-Sepúlveda, Alejandra; Villarroel, Alejandra; Galindo, Héctor; Peña, José; Sánchez, César

    2018-01-27

    Introduction: Breast cancer can be classified into subtypes based on immunohistochemical markers, with Ki67 expression levels being used to divide luminal BC tumors in luminal A and B subtypes; however, Ki67 is not routinely determined due to a lack of standardization. Objective: To evaluate histological grade and Eliminate: the mitotic index to determine if they can be used as an alternative method to Ki67 staining for luminal subtype definition. Methods: We evaluated estrogen receptor positive breast cancer tissue samples. Pathological analysis included determination of Ki67. A low level of Ki67 was defined as <14% positive cells. Results: We evaluated 151 breast cancer samples; 24 (15,9%) were classified as I; 74 as HG II (49%), and 53 (35,1%) as HG III. The median value for Ki67 was 13% (range: <1% - 82%) and for MI was 2 (0-12). Histological grade I tumors exhibited Ki67 values significantly lower than HG II and III tumors (Anova, Tamhane test p=0,001). A higher Ki67 value was related to a higher MI (Rho Sperman p=0,336; R2= 0,0273). ROC curve analysis determined that a MI ≥ 3 had a sensibility of 61.9% and specificity of 66.7% in predicting a high Ki67 value (≥14%) (area under the curve: 0,691; p =0,0001). A HG I tumor or HG II-III with MI ≤2, had a high probability of corresponding to a LA tumor (76,3%), as defined using Ki67 expression, while the probability of a LB subtype was higher with HG II-III and a MI ≥3 (57.4%). Global discrimination was 68.1%. Conclusions: For the LA subtype, our predictive model showed a good correlation of HG and MI with the classification based on Ki67<14%. In the LB subtype, the model showed a weak correlation; therefore Ki67 determination seems to be needed for this group of patients. Creative Commons Attribution License

  1. Response to neoadjuvant chemotherapy in locally advanced breast cancer according to tumor subtypes

    International Nuclear Information System (INIS)

    Tabassum, S.; Zahid, N.

    2017-01-01

    To compare the pathological response to neoadjuvant chemotherapy in different molecular subtypes of breast cancer Study Design: Prospective cohort study. Place and Duration of Study: Department of Oncology Liaquat National Hospital Karachi from Jan 2013 to Dec 2014. Material and Methods: A total of 119 patients received neo-adjuvant chemotherapy for locally advanced breast cancer followed by definitive surgery. Demographic, clinical and pathological data of 101 patients were available for analysis. Tumors were divided into different molecular subtypes, luminal A, luminal B human epidermal growth factor receptor 2 (HER 2) was negative, luminal B (HER 2 positive), HER 2 over expressed and triple negative. Neoadjuvant chemotherapy was given for total of eight cycles. Primary end point was pathological response [pathological complete response (PCR) versus no PCR] after surgery. Results: A total of 101 patients data were analyzed. Seventeen (16.8%) were luminal A, thirty eight (37.6%) were luminal B, out of 38 luminal B patients, twenty one (55.2%) were HER 2 + and seventeen (44.7%) were HER 2 -ve. Sixteen (15.8%) patients were HER 2 over expressed and thirty (29.7%) were triple negative. Out of 101 patients, twenty eight (27.72%) achieved PCR. A total of 5.9% achieved PCR in luminal A, 4.8% had PCR in luminal B (HER 2 -ve type), 23.5% had in luminal B (HER 2 +ve type), 50% achieved PCR in HER-2 over expressed type and 46.7% had PCR in triple negative subtype, (p=0.001). There was no significant association of PCR with age, tumor size, lymph node status, histology or grade. Conclusion: Molecular subtypes of breat cancer were found to be statistically significant predictor of PCR after neoadjuvant chemotherapy. (author)

  2. Quantitative diffusion weighted imaging parameters in tumor and peritumoral stroma for prediction of molecular subtypes in breast cancer

    Science.gov (United States)

    He, Ting; Fan, Ming; Zhang, Peng; Li, Hui; Zhang, Juan; Shao, Guoliang; Li, Lihua

    2018-03-01

    Breast cancer can be classified into four molecular subtypes of Luminal A, Luminal B, HER2 and Basal-like, which have significant differences in treatment and survival outcomes. We in this study aim to predict immunohistochemistry (IHC) determined molecular subtypes of breast cancer using image features derived from tumor and peritumoral stroma region based on diffusion weighted imaging (DWI). A dataset of 126 breast cancer patients were collected who underwent preoperative breast MRI with a 3T scanner. The apparent diffusion coefficients (ADCs) were recorded from DWI, and breast image was segmented into regions comprising the tumor and the surrounding stromal. Statistical characteristics in various breast tumor and peritumoral regions were computed, including mean, minimum, maximum, variance, interquartile range, range, skewness, and kurtosis of ADC values. Additionally, the difference of features between each two regions were also calculated. The univariate logistic based classifier was performed for evaluating the performance of the individual features for discriminating subtypes. For multi-class classification, multivariate logistic regression model was trained and validated. The results showed that the tumor boundary and proximal peritumoral stroma region derived features have a higher performance in classification compared to that of the other regions. Furthermore, the prediction model using statistical features, difference features and all the features combined from these regions generated AUC values of 0.774, 0.796 and 0.811, respectively. The results in this study indicate that ADC feature in tumor and peritumoral stromal region would be valuable for estimating the molecular subtype in breast cancer.

  3. Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data

    Directory of Open Access Journals (Sweden)

    List Markus

    2014-06-01

    Full Text Available Selecting the most promising treatment strategy for breast cancer crucially depends on determining the correct subtype. In recent years, gene expression profiling has been investigated as an alternative to histochemical methods. Since databases like TCGA provide easy and unrestricted access to gene expression data for hundreds of patients, the challenge is to extract a minimal optimal set of genes with good prognostic properties from a large bulk of genes making a moderate contribution to classification. Several studies have successfully applied machine learning algorithms to solve this so-called gene selection problem. However, more diverse data from other OMICS technologies are available, including methylation. We hypothesize that combining methylation and gene expression data could already lead to a largely improved classification model, since the resulting model will reflect differences not only 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 10-20% and classification error of 1-50%, depending on breast cancer subtype and model. The gene expression model was clearly superior to the methylation model, which was also reflected in the combined model, which mainly selected features from gene expression data. However, the methylation model was able to identify unique features not considered as relevant by the gene expression model, which might provide deeper insights into breast cancer subtype differentiation on an epigenetic level.

  4. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

    OpenAIRE

    Andrulis, IL; Mulligan, AM; Schmutzler, RK; Barrowdale, D; McGuffog, L; Robson, M; Schmidt, MK; Spurdle, AB; Neuhausen, SL; Kuchenbaecker, KB

    2014-01-01

    Introduction: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRC...

  5. Impact of Risk Factors on Different Interval Cancer Subtypes in a Population-Based Breast Cancer Screening Programme

    Science.gov (United States)

    Blanch, Jordi; Sala, Maria; Ibáñez, Josefa; Domingo, Laia; Fernandez, Belén; Otegi, Arantza; Barata, Teresa; Zubizarreta, Raquel; Ferrer, Joana; Castells, Xavier; Rué, Montserrat; Salas, Dolores

    2014-01-01

    Background Interval cancers are primary breast cancers diagnosed in women after a negative screening test and before the next screening invitation. Our aim was to evaluate risk factors for interval cancer and their subtypes and to compare the risk factors identified with those associated with incident screen-detected cancers. Methods We analyzed data from 645,764 women participating in the Spanish breast cancer screening program from 2000–2006 and followed-up until 2009. A total of 5,309 screen-detected and 1,653 interval cancers were diagnosed. Among the latter, 1,012 could be classified on the basis of findings in screening and diagnostic mammograms, consisting of 489 true interval cancers (48.2%), 235 false-negatives (23.2%), 172 minimal-signs (17.2%) and 114 occult tumors (11.3%). Information on the screening protocol and women's characteristics were obtained from the screening program registry. Cause-specific Cox regression models were used to estimate the hazard ratios (HR) of risks factors for interval cancer and incident screen-detected cancer. A multinomial regression model, using screen-detected tumors as a reference group, was used to assess the effect of breast density and other factors on the occurrence of interval cancer subtypes. Results A previous false-positive was the main risk factor for interval cancer (HR = 2.71, 95%CI: 2.28–3.23); this risk was higher for false-negatives (HR = 8.79, 95%CI: 6.24–12.40) than for true interval cancer (HR = 2.26, 95%CI: 1.59–3.21). A family history of breast cancer was associated with true intervals (HR = 2.11, 95%CI: 1.60–2.78), previous benign biopsy with a false-negatives (HR = 1.83, 95%CI: 1.23–2.71). High breast density was mainly associated with occult tumors (RRR = 4.92, 95%CI: 2.58–9.38), followed by true intervals (RRR = 1.67, 95%CI: 1.18–2.36) and false-negatives (RRR = 1.58, 95%CI: 1.00–2.49). Conclusion The role of women's characteristics differs among

  6. Surveillance of women with a personal history of breast cancer by tumour subtype.

    Science.gov (United States)

    Benveniste, A P; Dryden, M J; Bedrosian, I; Morrow, P K; Bassett, R L; Yang, W

    2017-03-01

    To determine if the rate and timing of a second breast cancer event (SBCE) in women with a personal history of breast cancer varies by disease subtype or breast imaging method. A retrospective review was performed of women with a SBCE from January 2006 to December 2010 at a single institution. Data analysed included oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) status of the primary and second breast cancers; mammographic and ultrasound (US) features from SBCE; and the time interval between both events. Of 207 patients diagnosed with a SBCE, the median age at first diagnosis was 50.6 years, range 24.8 to 80.2; at second diagnosis was 56.2 years, range 25.8 to 87.9. Eleven percent of SBCE were diagnosed >10 years after the primary cancer diagnosis. The median time between the first and second diagnosis for ER-positive patients was 2.7 years (range 0.7-17.4 years); and 1.9 years for ER-negative patients, (range 0.4-23.4 years; pbreast cancer (TNBC) had a shorter time between diagnoses than others (p=0.0003). At 3, 5, and 10 years, 85%, 92%, and 97% of ER-negative and 54%, 81%, and 95% of ER-positive tumours, respectively, had recurred. ER-negative tumours and TNBC were more likely to be visible at US. There may be a role for customised imaging surveillance of women with a personal history of breast cancer (PHBC) after 10 years. Further studies are necessary to determine if US may be valuable in the surveillance of patients with ER-negative and TNBC tumours. Copyright © 2016 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

  7. Black-White Disparities in Breast Cancer Subtype: The Intersection of Socially Patterned Stress and Genetic Expression

    Directory of Open Access Journals (Sweden)

    Erin Linnenbringer

    2017-11-01

    Full Text Available Hormone receptor negative (HR- breast cancer subtypes are etiologically distinct from the more common, less aggressive, and more treatable form of estrogen receptor positive (ER+ breast cancer. Numerous population-based studies have found that, in the United States, Black women are 2 to 3 times more likely to develop HR- breast cancer than White women. Much of the existing research on racial disparities in breast cancer subtype has focused on identifying predisposing genetic factors associated with African ancestry. This approach fails to acknowledge that racial stratification shapes a wide range of environmental and social exposures over the life course. Human stress genomics considers the role of individual stress perceptions on gene expression. Yet, the role of structurally rooted biopsychosocial processes that may be activated by the social patterning of stressors in an historically unequal society, whether perceived by individual black women or not, could also impact cellular physiology and gene expression patterns relevant to HR- breast cancer etiology. Using the weathering hypothesis as our conceptual framework, we develop a structural perspective for examining racial disparities in breast cancer subtypes, integrating important findings from the stress biology, breast cancer epidemiology, and health disparities literatures. After integrating key findings from these largely independent literatures, we develop a theoretically and empirically guided framework for assessing potential multilevel factors relevant to the development of HR- breast cancer disproportionately among Black women in the US. We hypothesize that a dynamic interplay among socially patterned psychosocial stressors, physiological & behavioral responses, and genomic pathways contribute to the increased risk of HR- breast cancer among Black women. This work provides a basis for exploring potential alternative pathways linking the lived experience of race to the risk of HR

  8. Black-White Disparities in Breast Cancer Subtype: The Intersection of Socially Patterned Stress and Genetic Expression.

    Science.gov (United States)

    Linnenbringer, Erin; Gehlert, Sarah; Geronimus, Arline T

    2017-01-01

    Hormone receptor negative (HR-) breast cancer subtypes are etiologically distinct from the more common, less aggressive, and more treatable form of estrogen receptor positive (ER+) breast cancer. Numerous population-based studies have found that, in the United States, Black women are 2 to 3 times more likely to develop HR- breast cancer than White women. Much of the existing research on racial disparities in breast cancer subtype has focused on identifying predisposing genetic factors associated with African ancestry. This approach fails to acknowledge that racial stratification shapes a wide range of environmental and social exposures over the life course. Human stress genomics considers the role of individual stress perceptions on gene expression. Yet, the role of structurally rooted biopsychosocial processes that may be activated by the social patterning of stressors in an historically unequal society, whether perceived by individual black women or not, could also impact cellular physiology and gene expression patterns relevant to HR- breast cancer etiology. Using the weathering hypothesis as our conceptual framework, we develop a structural perspective for examining racial disparities in breast cancer subtypes, integrating important findings from the stress biology, breast cancer epidemiology, and health disparities literatures. After integrating key findings from these largely independent literatures, we develop a theoretically and empirically guided framework for assessing potential multilevel factors relevant to the development of HR- breast cancer disproportionately among Black women in the US. We hypothesize that a dynamic interplay among socially patterned psychosocial stressors, physiological & behavioral responses, and genomic pathways contribute to the increased risk of HR- breast cancer among Black women. This work provides a basis for exploring potential alternative pathways linking the lived experience of race to the risk of HR- breast cancer, and

  9. [Sentinel node biopsy after neoadjuvant chemotherapy in breast cancer. Its relation with molecular subtypes].

    Science.gov (United States)

    Ruano, R; Ramos, M; García-Talavera, J R; Ramos, T; Rosero, A S; González-Orus, J M; Sancho, M

    2014-01-01

    To evaluate the influence of the molecular subtype (MS) in the Sentinel Node Biopsy (SNB) technique after neoadjuvant chemotherapy (NAC) in women with locally advanced breast cancer (BC) and a complete axillary response (CR). A prospective study involving 70 patients with BC treated with NAC was carried out. An axillary lymph node dissection was performed in the first 48 patients (validation group: VG), and in case of micro- or macrometastases in the therapeutic application phase (therapy group:TG). Classified according to MS: 14 luminal A; 16 luminal B HER2-, 13 luminal B HER2+, 10HER2+ non-luminal, 17 triple-negative. SNB was carried out in 98.6% of the cases, with only one false negative result in the VG (FN=2%). Molecular subtype did not affect SN detection. Despite the existence of axillary CR, statistically significant differences were found in the proportion of macrometastasis (16.7% vs. 35.7%, p=0.043) on comparing the pre-NAC cN0 and cN+. Breast tumor response to NAC varied among the different MS, this being lowest in luminal A (21.5%) and highest in non-luminal HER2+ group (80%). HER2+ and triple-negative were the groups with the best axillary histological response both when there was prior clinical involvement and when there was not. Molecular subtype is a predictive factor of the degree of tumor response to NAC in breast cancer. However, it does not affect SNB detection and efficiency. SNB can also be used safely in women with prior node involvement as long as a complete clinical and radiological assessment is made of the node response to NAC. Copyright © 2014 Elsevier España, S.L.U. and SEMNIM. All rights reserved.

  10. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    K.B. Kuchenbaecker (Karoline); S.L. Neuhausen (Susan); M. Robson (Mark); D. Barrowdale (Daniel); L. McGuffog (Lesley); A.M. Mulligan (Anna Marie); I.L. Andrulis (Irene); A.B. Spurdle (Amanda); M.K. Schmidt (Marjanka); R.K. Schmutzler (Rita); C. Engel (Christoph); B. Wapenschmidt (Barbara); H. Nevanlinna (Heli); M. Thomassen (Mads); M.C. Southey (Melissa); P. Radice (Paolo); S.J. Ramus (Susan); S.M. Domchek (Susan); K.L. Nathanson (Katherine); A. Lee (Andrew); S. Healey (Sue); R. Nussbaum (Robert); R. Rebbeck (Timothy); B.K. Arun (Banu); M. James (Margaret); B.Y. Karlan (Beth); K.J. Lester (Kathryn); I. Cass (Ilana); M.B. Terry (Mary Beth); M.J. Daly (Mark); D. Goldgar (David); S.S. Buys (Saundra); R. Janavicius (Ramunas); L. Tihomirova (Laima); N. Tung (Nadine); C.M. Dorfling (Cecilia); E.J. van Rensburg (Elizabeth); L. Steele (Linda); T. v O Hansen (Thomas); B. Ejlertsen (Bent); A-M. Gerdes (Anne-Marie); F. Nielsen (Finn); J. Dennis (Joe); J.M. Cunningham (Julie); S. Hart (Stewart); S. Slager (Susan); A. Osorio (Ana); J. Benítez (Javier); M. Duran (Mercedes); J.N. Weitzel (Jeffrey); I. Tafur (Isaac); M. Hander (Mary); P. Peterlongo (Paolo); S. Manoukian (Siranoush); B. Peissel (Bernard); G. Roversi (Gaia); G. Scuvera (Giulietta); B. Bonnani (Bernardo); P. Mariani (Paolo); S. Volorio (Sara); R. Dolcetti (Riccardo); L. Varesco (Liliana); L. Papi (Laura); M.G. Tibiletti (Maria Grazia); G. Giannini (Giuseppe); F. Fostira (Florentia); I. Konstantopoulou (I.); J. Garber (Judy); U. Hamann (Ute); A. Donaldson (Alan); C. Brewer (Carole); C. Foo (Claire); D.G. Evans (Gareth); D. Frost (Debra); D. Eccles (Diana); F. Douglas (Fiona); A. Brady (A.); J. Cook (Jackie); M. Tischkowitz (Marc); L. Adlard; J. Barwell (Julian); K. Ong; L.J. Walker (Lisa); L. Izatt (Louise); L. Side (Lucy); M.J. Kennedy (John); M.T. Rogers (Mark); M.E. Porteous (Mary); P.J. Morrison (Patrick); R. Platte (Radka); R. Eeles (Ros); R. Davidson (Rosemarie); S. Hodgson (Shirley); S.D. Ellis (Steve); A.K. Godwin (Andrew); K. Rhiem (Kerstin); A. Meindl (Alfons); N. Ditsch (Nina); N. Arnold (Norbert); H. Plendl (Hansjoerg); D. Niederacher (Dieter); C. Sutter (Christian); D. Steinemann (Doris); N. Bogdanova-Markov (Nadja); K. Kast (Karin); R. Varon-Mateeva (Raymonda); S. Wang-Gohrke (Shan); P.A. Gehrig (Paola A.); B. Markiefka (Birgid); B. Buecher (Bruno); C. Lefol (Cédrick); D. Stoppa-Lyonnet (Dominique); E. Rouleau (Etienne); F. Prieur (Fabienne); F. Damiola (Francesca); L. Barjhoux (Laure); L. Faivre (Laurence); M. Longy (Michel); N. Sevenet (Nicolas); O. Sinilnikova (Olga); S. Mazoyer (Sylvie); V. Bonadona (Valérie); V. Caux-Moncoutier (Virginie); C. Isaacs (Claudine); T. Van Maerken (Tom); K.B.M. Claes (Kathleen B.M.); M. Piedmonte (Marion); L. Andrews (Lesley); J. Hays (John); G.C. Rodriguez (Gustavo); T. Caldes (Trinidad); M. de La Hoya (Miguel); S. Khan (Sofia); F.B.L. Hogervorst (Frans); C.M. Aalfs (Cora); J.L. de Lange (J.); E.J. Meijers-Heijboer (Hanne); A.H. van der Hout (Annemarie); J.T. Wijnen (Juul); K.E. van Roozendaal (Kees); A.R. Mensenkamp (Arjen); A.M.W. van den Ouweland (Ans); C.H.M. van Deurzen (Carolien); R.B. van der Luijt (Rob); E. Olah; O. Díez (Orland); C. Lazaro (Conxi); I. Blanco (Ignacio); A. Teulé (A.); M. Menéndez (Mireia); A. Jakubowska (Anna); J. Lubinski (Jan); C. Cybulski (Cezary); J. Gronwald (Jacek); K. Jaworska-Bieniek (Katarzyna); K. Durda (Katarzyna); A. Arason (Adalgeir); C. Maugard; P. Soucy (Penny); M. Montagna (Marco); S. Agata (Simona); P.J. Teixeira; C. Olswold (Curtis); N.M. Lindor (Noralane); V.S. Pankratz (Shane); B. Hallberg (Boubou); X. Wang (Xianshu); C. Szabo (Csilla); J. Vijai (Joseph); L. Jacobs (Lauren); M. Corines (Marina); A. Lincoln (Anne); A. Berger (Andreas); A. Fink-Retter (Anneliese); C.F. Singer (Christian); C. Rappaport (Christine); D.G. Kaulich (Daphne Gschwantler); G. Pfeiler (Georg); M.-K. Tea; C. Phelan (Catherine); P.L. Mai (Phuong); M.H. Greene (Mark); G. Rennert (Gad); E.N. Imyanitov (Evgeny); G. Glendon (Gord); A.E. Toland (Amanda); A. Bojesen (Anders); I.S. Pedersen (Inge Sokilde); U.B. Jensen; M.A. Caligo (Maria); E. Friedman (Eitan); R. Berger (Raanan); Y. Laitman (Yael); J. Rantala (Johanna); B. Arver (Brita Wasteson); N. Loman (Niklas); Å. Borg (Åke); H. Ehrencrona (Hans); O.I. Olopade (Olofunmilayo); J. Simard (Jacques); D.F. Easton (Douglas); G. Chenevix-Trench (Georgia); K. Offit (Kenneth); F.J. Couch (Fergus); A.C. Antoniou (Antonis C.); CIMBA; EMBRACE Study; Breast Cancer Family; GEMO Study Collaborators; HEBON; KConFab Investigators

    2014-01-01

    textabstractIntroduction: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2

  11. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    Kuchenbaecker, Karoline B.; Neuhausen, Susan L.; Robson, Mark; Barrowdale, Daniel; McGuffog, Lesley; Mulligan, Anna Marie; Andrulis, Irene L.; Spurdle, Amanda B.; Schmidt, Marjanka K.; Schmutzler, Rita K.; Engel, Christoph; Wappenschmidt, Barbara; Nevanlinna, Heli; Thomassen, Mads; Southey, Melissa; Radice, Paolo; Ramus, Susan J.; Domchek, Susan M.; Nathanson, Katherine L.; Lee, Andrew; Healey, Sue; Nussbaum, Robert L.; Rebbeck, Timothy R.; Arun, Banu K.; James, Paul; Karlan, Beth Y.; Lester, Jenny; Cass, Ilana; Terry, Mary Beth; Daly, Mary B.; Goldgar, David E.; Buys, Saundra S.; Janavicius, Ramunas; Tihomirova, Laima; Tung, Nadine; Dorfling, Cecilia M.; van Rensburg, Elizabeth J.; Steele, Linda; v O Hansen, Thomas; Ejlertsen, Bent; Gerdes, Anne-Marie; Nielsen, Finn C.; Dennis, Joe; Cunningham, Julie; Hart, Steven; Slager, Susan; Osorio, Ana; Benitez, Javier; Duran, Mercedes; Weitzel, Jeffrey N.; Tafur, Isaac; Hander, Mary; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Roversi, Gaia; Scuvera, Giulietta; Bonanni, Bernardo; Mariani, Paolo; Volorio, Sara; Dolcetti, Riccardo; Varesco, Liliana; Papi, Laura; Tibiletti, Maria Grazia; Giannini, Giuseppe; Fostira, Florentia; Konstantopoulou, Irene; Garber, Judy; Hamann, Ute; Donaldson, Alan; Brewer, Carole; Foo, Claire; Evans, D. Gareth; Frost, Debra; Eccles, Diana; Douglas, Fiona; Brady, Angela; Cook, Jackie; Tischkowitz, Marc; Adlard, Julian; Barwell, Julian; Ong, Kai-Ren; Walker, Lisa; Izatt, Louise; Side, Lucy E.; Kennedy, M. John; Rogers, Mark T.; Porteous, Mary E.; Morrison, Patrick J.; Platte, Radka; Eeles, Ros; Davidson, Rosemarie; Hodgson, Shirley; Ellis, Steve; Godwin, Andrew K.; Rhiem, Kerstin; Meindl, Alfons; Ditsch, Nina; Arnold, Norbert; Plendl, Hansjoerg; Niederacher, Dieter; Sutter, Christian; Steinemann, Doris; Bogdanova-Markov, Nadja; Kast, Karin; Varon-Mateeva, Raymonda; Wang-Gohrke, Shan; Gehrig, Andrea; Markiefka, Birgid; Buecher, Bruno; Lefol, Cédrick; Stoppa-Lyonnet, Dominique; Rouleau, Etienne; Prieur, Fabienne; Damiola, Francesca; Barjhoux, Laure; Faivre, Laurence; Longy, Michel; Sevenet, Nicolas; Sinilnikova, Olga M.; Mazoyer, Sylvie; Bonadona, Valérie; Caux-Moncoutier, Virginie; Isaacs, Claudine; van Maerken, Tom; Claes, Kathleen; Piedmonte, Marion; Andrews, Lesley; Hays, John; Rodriguez, Gustavo C.; Caldes, Trinidad; de la Hoya, Miguel; Khan, Sofia; Hogervorst, Frans B. L.; Aalfs, Cora M.; de Lange, J. L.; Meijers-Heijboer, Hanne E. J.; van der Hout, Annemarie H.; Wijnen, Juul T.; van Roozendaal, K. E. P.; Mensenkamp, Arjen R.; van den Ouweland, Ans M. W.; van Deurzen, Carolien H. M.; van der Luijt, Rob B.; Olah, Edith; Diez, Orland; Lazaro, Conxi; Blanco, Ignacio; Teulé, Alex; Menendez, Mireia; Jakubowska, Anna; Lubinski, Jan; Cybulski, Cezary; Gronwald, Jacek; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Arason, Adalgeir; Maugard, Christine; Soucy, Penny; Montagna, Marco; Agata, Simona; Teixeira, Manuel R.; Olswold, Curtis; Lindor, Noralane; Pankratz, Vernon S.; Hallberg, Emily; Wang, Xianshu; Szabo, Csilla I.; Vijai, Joseph; Jacobs, Lauren; Corines, Marina; Lincoln, Anne; Berger, Andreas; Fink-Retter, Anneliese; Singer, Christian F.; Rappaport, Christine; Kaulich, Daphne Gschwantler; Pfeiler, Georg; tea, Muy-Kheng; Phelan, Catherine M.; Mai, Phuong L.; Greene, Mark H.; Rennert, Gad; Imyanitov, Evgeny N.; Glendon, Gord; Toland, Amanda Ewart; Bojesen, Anders; Pedersen, Inge Sokilde; Jensen, Uffe Birk; Caligo, Maria A.; Friedman, Eitan; Berger, Raanan; Laitman, Yael; Rantala, Johanna; Arver, Brita; Loman, Niklas; Borg, Ake; Ehrencrona, Hans; Olopade, Olufunmilayo I.; Simard, Jacques; Easton, Douglas F.; Chenevix-Trench, Georgia; Offit, Kenneth; Couch, Fergus J.; Antoniou, Antonis C.; Perkins, Jo; Miedzybrodzka, Zosia; Gregory, Helen; Morrison, Patrick; Jeffers, Lisa; Cole, Trevor; Hoffman, Jonathan; James, Margaret; Paterson, Joan; Downing, Sarah; Taylor, Amy; Murray, Alexandra; McCann, Emma; Barton, David; Porteous, Mary; Drummond, Sarah; Kivuva, Emma; Searle, Anne; Goodman, Selina; Hill, Kathryn; Murday, Victoria; Bradshaw, Nicola; Snadden, Lesley; Longmuir, Mark; Watt, Catherine; Gibson, Sarah; Haque, Eshika; Tobias, Ed; Duncan, Alexis; Jacobs, Chris; Langman, Caroline; Dorkins, Huw; Serra-Feliu, Gemma; Ellis, Ian; Lalloo, Fiona; Taylor, Jane; Side, Lucy; Male, Alison; Berlin, Cheryl; Eason, Jacqueline; Collier, Rebecca; Claber, Oonagh; Jobson, Irene; McLeod, Diane; Halliday, Dorothy; Durell, Sarah; Stayner, Barbara; Shanley, Susan; Rahman, Nazneen; Houlston, Richard; Bancroft, Elizabeth; Page, Elizabeth; Ardern-Jones, Audrey; Kohut, Kelly; Wiggins, Jennifer; Castro, Elena; Mitra, Anita; Quarrell, Oliver; Bardsley, Cathryn; Goff, Sheila; Brice, Glen; Winchester, Lizzie; Eddy, Charlotte; Tripathi, Vishakha; Attard, Virginia; Lucassen, Anneke; Crawford, Gillian; McBride, Donna; Smalley, Sarah; Weaver, Joellen; Bove, Betsy; Sinilnikova, Olga; Verny-Pierre, Carole; Calender, Alain; Giraud, Sophie; Léone, Mélanie; Gauthier-Villars, Marion; Houdayer, Claude; Moncoutier, Virginie; Belotti, Muriel; Tirapo, Carole; de Pauw, Antoine; Bressac-de-Paillerets, Brigitte; Caron, Olivier; Bignon, Yves-Jean; Uhrhammer, Nancy; Lasset, Christine; Handallo, Sandrine; Hardouin, Agnès; Berthet, Pascaline; Sobol, Hagay; Bourdon, Violaine; Noguchi, Tetsuro; Remenieras, Audrey; Eisinger, François; Coupier, Isabelle; Pujol, Pascal; Peyrat, Jean-Philippe; Fournier, Joëlle; Révillion, Françoise; Vennin, Philippe; Adenis, Claude; Lidereau, Rosette; Demange, Liliane; Nogues, Catherine; Muller, Danièle; Fricker, Jean-Pierre; Barouk-Simonet, Emmanuelle; Bonnet, Françoise; Bubien, Virginie; Toulas, Christine; Guimbaud, Rosine; Gladieff, Laurence; Feillel, Viviane; Leroux, Dominique; Dreyfus, Hélène; Rebischung, Christine; Peysselon, Magalie; Coron, Fanny; Lebrun, Marine; Kientz, Caroline; Ferrer, Sandra Fert; Frénay, Marc; Vénat-Bouvet, Laurence; Delnatte, Capucine; Mortemousque, Isabelle; Coulet, Florence; Colas, Chrystelle; Soubrier, Florent; Sokolowska, Johanna; Bronner, Myriam; Collonge-Rame, Marie-Agnès; Damette, Alexandre; Lynch, Henry T.; Snyder, Carrie L.; Coene, Ilse; Crombez, Brecht; Segura, Pedro Perez; Romero, Atocha; Diaque, Paula; Aittomäki, Kristiina; Blomqvist, Carl; Aaltonen, Kirsimari; Muranen, Taru A.; Erkkilä, Irja; Palola, Virpi; Rookus, M. A.; Hogervorst, F. B. L.; van Leeuwen, F. E.; Verhoef, S.; Schmidt, M. K.; Wijnands, R.; Collée, J. M.; van den Ouweland, A. M. W.; Hooning, M. J.; Seynaeve, C.; van Deurzen, C. H. M.; Obdeijn, I. M.; van Asperen, C. J.; Wijnen, J. T.; Tollenaar, R. A. E. M.; Devilee, P.; van Cronenburg, T. C. T. E. F.; Kets, C. M.; Mensenkamp, A. R.; Ausems, M. G. E. M.; van der Luijt, R. B.; van Os, T. A. M.; Gille, J. J. P.; Waisfisz, Q.; Gómez-Garcia, E. B.; Blok, M. J.; Oosterwijk, J. C.; van der Hout, A. H.; Mourits, M. J.; de Bock, G. H.; Vasen, H. F.; Siesling, S.; Overbeek, L. I. H.; Papp, Janos; Vaszko, Tibor; Bozsik, Aniko; Pocza, Timea; Franko, Judit; Balogh, Maria; Domokos, Gabriella; Ferenczi, Judit; Balmaña, J.; Capella, Gabriel; Dumont, Martine; Tranchant, Martine

    2014-01-01

    Introduction: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation

  12. Synergistic effect of pyrazoles derivatives and doxorubicin in claudin-low breast cancer subtype.

    Science.gov (United States)

    Saueressig, Silvia; Tessmann, Josiane; Mastelari, Rosiane; da Silva, Liziane Pereira; Buss, Julieti; Segatto, Natalia Vieira; Begnini, Karine Rech; Pacheco, Bruna; de Pereira, Cláudio Martin Pereira; Collares, Tiago; Seixas, Fabiana Kömmling

    2018-02-01

    Breast cancer is a global public health problem. For some subtypes, such as Claudin-low, the prognosis is poorer and the treatment is still a challenge. Pyrazoles are an important class of heterocyclic compounds and are promising anticancer agents based on their chemical properties. The present study was aimed not only at testing pyrazoles previously prepared by our research group in two breast cancer cell lines characterized by intermediated response to conventional chemotherapy but also at analyzing the possible synergistic effect of these pyrazoles associated with doxorubicin. Four 1-thiocarbamoyl-3,5-diaryl-4,5-dihydro-1H pyrazoles were tested for the first time in MCF-7 and MDA-MB-231 culture cells. The pyrazoles with best results in cytotoxicity were used in combination with doxorubicin and compared with this drug alone as standard. The synergic effect was analyzed using Combination Index method. In addition, cell death and apoptosis assays were carried out. Two pyrazoles with cytotoxic effect in MCF-7 and especially in MDA-MB-231 were identified. This activity was markedly higher in pyrazoles containing bromine and chlorine substituents. The combination of these pyrazoles with doxorubicin had a significant synergic effect in both cells tested and mainly in MDA-MB-231. These data were confirmed with apoptosis and cell death analysis. The synergic effect observed with combination of these pyrazoles and doxorubicin deserves special attention in Claudin-low breast cancer subtype. This should be explored in order to improve treatment results and minimize side effects. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  13. Importance of Extracranial Disease Status and Tumor Subtype for Patients Undergoing Radiosurgery for Breast Cancer Brain Metastases

    Energy Technology Data Exchange (ETDEWEB)

    Dyer, Michael A.; Kelly, Paul J. [Department of Radiation Oncology, Dana-Farber/Brigham and Women' s Cancer Center, Boston, MA (United States); Harvard Medical School, Boston, MA (United States); Chen, Yu-Hui [Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA (United States); Pinnell, Nancy E. [Department of Radiation Oncology, Dana-Farber/Brigham and Women' s Cancer Center, Boston, MA (United States); Claus, Elizabeth B. [Harvard Medical School, Boston, MA (United States); Department of Neurosurgery, Brigham and Women' s Hospital, Boston, MA (United States); Yale University School of Medicine, New Haven, CT (United States); Lee, Eudocia Q. [Harvard Medical School, Boston, MA (United States); Center for Neuro-Oncology, Dana-Farber/Brigham and Women' s Center, Boston, MA (United States); Weiss, Stephanie E. [Department of Radiation Oncology, Dana-Farber/Brigham and Women' s Cancer Center, Boston, MA (United States); Harvard Medical School, Boston, MA (United States); Arvold, Nils D. [Harvard Radiation Oncology Program, Boston, MA (United States); Lin, Nancy U. [Harvard Medical School, Boston, MA (United States); Department of Medical Oncology, Dana-Farber/Brigham and Women' s Cancer Center, Boston, MA (United States); Alexander, Brian M., E-mail: bmalexander@lroc.harvard.edu [Department of Radiation Oncology, Dana-Farber/Brigham and Women' s Cancer Center, Boston, MA (United States); Harvard Medical School, Boston, MA (United States)

    2012-07-15

    Purpose: In this retrospective study, we report on outcomes and prognostic factors for patients treated with stereotactic radiosurgery (SRS) for breast cancer brain metastases. Methods and Materials: We identified 132 consecutive patients with breast cancer who were treated with SRS for brain metastases from January 2000 through June 2010. We retrospectively reviewed records of the 51 patients with adequate follow-up data who received SRS as part of the initial management of their brain metastases. Overall survival (OS) and time to central nervous system (CNS) progression from the date of SRS were calculated using the Kaplan-Meier method. Prognostic factors were evaluated using the Cox proportional hazards model. Results: Triple negative subtype was associated with CNS progression on univariate analysis (hazard ratio [HR] = 5.0, p = 0.008). On multivariate analysis, triple negative subtype (HR = 8.6, p = 0.001), Luminal B subtype (HR = 4.3, p = 0.03), and omission of whole-brain radiation therapy (HR = 3.7, p = 0.02) were associated with CNS progression. With respect to OS, Karnofsky Performance Status (KPS) {<=} 80% (HR = 2.0, p = 0.04) and progressive extracranial disease (HR = 3.1, p = 0.002) were significant on univariate analysis; KPS {<=} 80% (HR = 4.1, p = 0.0004), progressive extracranial disease (HR = 6.4, p < 0.0001), and triple negative subtype (HR = 2.9, p = 0.04) were significant on multivariate analysis. Although median survival times were consistent with those predicted by the breast cancer-specific Graded Prognostic Assessment (Breast-GPA) score, the addition of extracranial disease status further separated patient outcomes. Conclusions: Tumor subtype is associated with risk of CNS progression after SRS for breast cancer brain metastases. In addition to tumor subtype and KPS, which are incorporated into the Breast-GPA, progressive extracranial disease may be an important prognostic factor for OS.

  14. Characterization of basal-like subtype in a Danish consecutive primary breast cancer cohort

    DEFF Research Database (Denmark)

    Kinalis, Savvas; Nielsen, Finn Cilius; Talman, Maj Lis

    2018-01-01

    of this separate entity is needed. Material and methods: Molecular subtyping was performed on a consecutive and unselected series of 1560 tumors from patients with primary breast cancer. Tumors were classified by the 256 gene expression signature (CIT) and associated with basic clinical characteristics...... and aggregated expression levels in the hallmark gene sets. Results: Of the 1560 samples, 168 were classified basal-like and 120 patients were screened for BRCA1/2 mutations, resulting in 19 BRCA1/2 carriers, 95 non-carriers and six patients carried variants of unknown significance. The BRCA1/2 carriers were...... significantly younger and there were no carriers above 60 years of age. The tumors showed a loss in DNA-repair profile, as well as an upregulation in proliferative cancer signaling pathways. A robust molecular signature for identification of the BRCA1/2 - carriers was infeasible in the current cohort. Patients...

  15. Molecular Subtyping of Serous Ovarian Tumors Reveals Multiple Connections to Intrinsic Breast Cancer Subtypes

    DEFF Research Database (Denmark)

    Jönsson, Jenny-Maria; Johansson, Ida; Dominguez-Valentin, Mev

    2014-01-01

    expressed between benign and malignant serous ovarian tumors, with cell cycle processes enriched in the malignant subgroup. Borderline tumors were split between the two clusters. Significant correlations between the malignant serous tumors and the highly aggressive ovarian cancer signatures, and the basal...

  16. The Influence of Socioeconomic Status on Racial/Ethnic Disparities among the ER/PR/HER2 Breast Cancer Subtypes

    International Nuclear Information System (INIS)

    Parise, C. A.; Caggiano, V.Caggiano

    2015-01-01

    Background. The eight ER/PR/HER2 breast cancer subtypes vary widely in demographic and clinico pathologic characteristics and survival. This study assesses the contribution of SES to the risk of mortality for blacks, Hispanics, Asian/Pacific Islanders, and American Indians when compared with white women for each ER/PR/HER2 subtype. Methods. We identified 143,184 cases of first primary female invasive breast cancer from the California Cancer Registry between 2000 and 2012. The risk of mortality was computed for each race/ethnicity within each ER/PR/HER2 subtype. Models were adjusted for tumor grade, year of diagnosis, and age. SES was added to a second set of models. Analyses were conducted separately for each stage. Results. Race/ethnicity did not contribute to the risk of mortality for any subtype in stage 1 when adjusted for SES. In stages 2, 3, and 4, race/ethnicity was associated with risk of mortality and adjustment for SES changed the risk only in some subtypes. SES reduced the risk of mortality by over 45% for American Indians with stage 2 ER+/PR+/HER2-cancer, but it decreased the risk of mortality for blacks with stage 2 triple negative cancer by less than 4%. Conclusions. Racial/ethnic disparities do not exist in all ER/PR/HER2 subtypes and, in general, SES modestly alters these disparities.

  17. Breast cancer molecular subtypes and survival in a hospital-based sample in Puerto Rico

    International Nuclear Information System (INIS)

    Ortiz, Ana Patricia; Frías, Orquidea; Pérez, Javier; Cabanillas, Fernando; Martínez, Lisa; Sánchez, Carola; Capó-Ramos, David E; González-Keelan, Carmen; Mora, Edna; Suárez, Erick

    2013-01-01

    Information on the impact of hormone receptor status subtypes in breast cancer (BC) prognosis is still limited for Hispanics. We aimed to evaluate the association of BC molecular subtypes and other clinical factors with survival in a hospital-based female population of BC cases in Puerto Rico. We analyzed 663 cases of invasive BC diagnosed between 2002 and 2005. Information on HER-2/neu (HER-2) overexpression, estrogen (ER), and progesterone (PR) receptor status and clinical characteristics were retrieved from hospitals cancer registries and record review. Survival probabilities by covariates of interest were described using the Kaplan–Meier estimators. Cox proportional hazards models were employed to assess factors associated with risk of BC death. Overall, 17.3% of BC cases were triple-negative (TN), 61.8% were Luminal-A, 13.3% were Luminal-B, and 7.5% were HER-2 overexpressed. In the multivariate Cox model, among patients with localized stage, women with TN BC had higher risk of death (adjusted hazard ratio [HR]: 2.57, 95% confidence interval [CI]: 1.29–5.12) as compared to those with Luminal-A status, after adjusting for age at diagnosis. In addition, among women with regional/distant stage at diagnosis, those with TN BC (HR: 5.48, 95% CI: 2.63–11.47) and those HER-2+, including HER-2 overexpressed and Luminal-B, (HR: 2.73, 95% CI:1.30–5.75) had a higher mortality. This is the most comprehensive epidemiological study to date on the impact of hormone receptor expression subtypes in BC survival in Puerto Rico. Consistent to results in other populations, the TN subtype and HER-2+ tumors were associated with decreased survival

  18. Use and duration of chemotherapy in patients with metastatic breast cancer according to tumor subtype and line of therapy.

    Science.gov (United States)

    Seah, Davinia S E; Luis, Ines Vaz; Macrae, Erin; Sohl, Jessica; Litsas, Georgia; Winer, Eric P; Lin, Nancy U; Burstein, Harold J

    2014-01-01

    Benefits of chemotherapy vary in patients with metastatic breast cancer (MBC). This article describes the impact of tumor subtype and the line of therapy on the duration of chemotherapy. Clinicopathologic characteristics were extracted from the medical records of 199 consecutive patients with MBC at Dana-Farber Cancer Institute and analyzed according to subtype. Tumor subtypes were classified as hormone receptor (HR)-positive, triple-negative (TNBC), or HER2-amplified breast cancer. Duration of chemotherapy of each line was defined as the start of a chemotherapy regimen to the start of the next line of therapy as a result of progression or toxicity. There were 96, 44, and 59 patients with HR(+), TNBC, and HER2-amplified breast cancer, respectively. Median age at MBC diagnosis was 53 years. Median overall survivals were 32 and 54 months for HER2-amplified disease, 36 months for HR(+) breast cancer, and 17 months for TNBC (Pchemotherapy for every line. The median duration of chemotherapy in HER2-amplified patients remained at more than 4 months even out to sixth-line therapy. Patients with TNBC tended to receive the shortest duration of chemotherapy for every line of therapy. Tumor subtypes influence the number of lines, duration of chemotherapy, and survival. Among patients with HR(+) and HER2-amplified disease who undergo chemotherapy beyond the third line, substantial rates of prolonged therapies suggest clinical benefit. The role of advanced (greater than third) chemotherapy lines in improving survival of all patients with MBC warrants further study.

  19. Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies

    Science.gov (United States)

    Lehmann, Brian D.; Bauer, Joshua A.; Chen, Xi; Sanders, Melinda E.; Chakravarthy, A. Bapsi; Shyr, Yu; Pietenpol, Jennifer A.

    2011-01-01

    Triple-negative breast cancer (TNBC) is a highly diverse group of cancers, and subtyping is necessary to better identify molecular-based therapies. In this study, we analyzed gene expression (GE) profiles from 21 breast cancer data sets and identified 587 TNBC cases. Cluster analysis identified 6 TNBC subtypes displaying unique GE and ontologies, including 2 basal-like (BL1 and BL2), an immunomodulatory (IM), a mesenchymal (M), a mesenchymal stem–like (MSL), and a luminal androgen receptor (LAR) subtype. Further, GE analysis allowed us to identify TNBC cell line models representative of these subtypes. Predicted “driver” signaling pathways were pharmacologically targeted in these cell line models as proof of concept that analysis of distinct GE signatures can inform therapy selection. BL1 and BL2 subtypes had higher expression of cell cycle and DNA damage response genes, and representative cell lines preferentially responded to cisplatin. M and MSL subtypes were enriched in GE for epithelial-mesenchymal transition, and growth factor pathways and cell models responded to NVP-BEZ235 (a PI3K/mTOR inhibitor) and dasatinib (an abl/src inhibitor). The LAR subtype includes patients with decreased relapse-free survival and was characterized by androgen receptor (AR) signaling. LAR cell lines were uniquely sensitive to bicalutamide (an AR antagonist). These data may be useful in biomarker selection, drug discovery, and clinical trial design that will enable alignment of TNBC patients to appropriate targeted therapies. PMID:21633166

  20. Molecular portrait of breast cancer in China reveals comprehensive transcriptomic likeness to Caucasian breast cancer and low prevalence of luminal A subtype

    International Nuclear Information System (INIS)

    Huang, Xiaoyan; Dugo, Matteo; Callari, Maurizio; Sandri, Marco; De Cecco, Loris; Valeri, Barbara; Carcangiu, Maria Luisa; Xue, Jingyan; Bi, Rui; Veneroni, Silvia; Daidone, Maria Grazia; Ménard, Sylvie; Tagliabue, Elda; Shao, Zhimin; Wu, Jiong; Orlandi, Rosaria

    2015-01-01

    The recent dramatic increase in breast cancer incidence across China with progressive urbanization and economic development has signaled the urgent need for molecular and clinical detailing of breast cancer in the Chinese population. Our analyses of a unique transethnic collection of breast cancer frozen specimens from Shanghai Fudan Cancer Center (Chinese Han) profiled simultaneously with an analogous Caucasian Italian series revealed consistent transcriptomic data lacking in batch effects. The prevalence of Luminal A subtype was significantly lower in Chinese series, impacting the overall prevalence of estrogen receptor (ER)-positive disease in a large cohort of Chinese/Caucasian patients. Unsupervised and supervised comparison of gene and microRNA (miRNA) profiles of Chinese and Caucasian samples revealed extensive similarity in the comprehensive taxonomy of transcriptional elements regulating breast cancer biology. Partition of gene expression data using gene lists relevant to breast cancer as “intrinsic” and “extracellular matrix” genes identified Chinese and Caucasian subgroups with equivalent global gene and miRNA profiles. These findings indicate that in the Chinese and Caucasian groups, breast neoplasia and the surrounding stromal characteristics undergo the same differentiation and molecular processes. Transcriptional similarity across transethnic cohorts may simplify translational medicine approaches and clinical management of breast cancer patients worldwide

  1. CD44 isoforms are heterogeneously expressed in breast cancer and correlate with tumor subtypes and cancer stem cell markers

    International Nuclear Information System (INIS)

    Olsson, Eleonor; Lövgren, Kristina; Fernö, Mårten; Grabau, Dorthe; Borg, Åke; Hegardt, Cecilia; Honeth, Gabriella; Bendahl, Pär-Ola; Saal, Lao H; Gruvberger-Saal, Sofia; Ringnér, Markus; Vallon-Christersson, Johan; Jönsson, Göran; Holm, Karolina

    2011-01-01

    The CD44 cell adhesion molecule is aberrantly expressed in many breast tumors and has been implicated in the metastatic process as well as in the putative cancer stem cell (CSC) compartment. We aimed to investigate potential associations between alternatively spliced isoforms of CD44 and CSCs as well as to various breast cancer biomarkers and molecular subtypes. We used q-RT-PCR and exon-exon spanning assays to analyze the expression of four alternatively spliced CD44 isoforms as well as the total expression of CD44 in 187 breast tumors and 13 cell lines. ALDH1 protein expression was determined by IHC on TMA. Breast cancer cell lines showed a heterogeneous expression pattern of the CD44 isoforms, which shifted considerably when cells were grown as mammospheres. Tumors characterized as positive for the CD44 + /CD24 - phenotype by immunohistochemistry were associated to all isoforms except the CD44 standard (CD44S) isoform, which lacks all variant exons. Conversely, tumors with strong expression of the CSC marker ALDH1 had elevated expression of CD44S. A high expression of the CD44v2-v10 isoform, which retain all variant exons, was correlated to positive steroid receptor status, low proliferation and luminal A subtype. The CD44v3-v10 isoform showed similar correlations, while high expression of CD44v8-v10 was correlated to positive EGFR, negative/low HER2 status and basal-like subtype. High expression of CD44S was associated with strong HER2 staining and also a subgroup of basal-like tumors. Unsupervised hierarchical cluster analysis of CD44 isoform expression data divided tumors into four main clusters, which showed significant correlations to molecular subtypes and differences in 10-year overall survival. We demonstrate that individual CD44 isoforms can be associated to different breast cancer subtypes and clinical markers such as HER2, ER and PgR, which suggests involvement of CD44 splice variants in specific oncogenic signaling pathways. Efforts to link CD44 to

  2. CD44 isoforms are heterogeneously expressed in breast cancer and correlate with tumor subtypes and cancer stem cell markers

    Directory of Open Access Journals (Sweden)

    Vallon-Christersson Johan

    2011-09-01

    Full Text Available Abstract Background The CD44 cell adhesion molecule is aberrantly expressed in many breast tumors and has been implicated in the metastatic process as well as in the putative cancer stem cell (CSC compartment. We aimed to investigate potential associations between alternatively spliced isoforms of CD44 and CSCs as well as to various breast cancer biomarkers and molecular subtypes. Methods We used q-RT-PCR and exon-exon spanning assays to analyze the expression of four alternatively spliced CD44 isoforms as well as the total expression of CD44 in 187 breast tumors and 13 cell lines. ALDH1 protein expression was determined by IHC on TMA. Results Breast cancer cell lines showed a heterogeneous expression pattern of the CD44 isoforms, which shifted considerably when cells were grown as mammospheres. Tumors characterized as positive for the CD44+/CD24- phenotype by immunohistochemistry were associated to all isoforms except the CD44 standard (CD44S isoform, which lacks all variant exons. Conversely, tumors with strong expression of the CSC marker ALDH1 had elevated expression of CD44S. A high expression of the CD44v2-v10 isoform, which retain all variant exons, was correlated to positive steroid receptor status, low proliferation and luminal A subtype. The CD44v3-v10 isoform showed similar correlations, while high expression of CD44v8-v10 was correlated to positive EGFR, negative/low HER2 status and basal-like subtype. High expression of CD44S was associated with strong HER2 staining and also a subgroup of basal-like tumors. Unsupervised hierarchical cluster analysis of CD44 isoform expression data divided tumors into four main clusters, which showed significant correlations to molecular subtypes and differences in 10-year overall survival. Conclusions We demonstrate that individual CD44 isoforms can be associated to different breast cancer subtypes and clinical markers such as HER2, ER and PgR, which suggests involvement of CD44 splice variants in

  3. Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies

    DEFF Research Database (Denmark)

    Yang, Xiaohong R; Chang-Claude, Jenny; Goode, Ellen L

    2011-01-01

    Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors.......Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors....

  4. Revisiting the impact of age and molecular subtype on overall survival after radiotherapy in breast cancer patients

    NARCIS (Netherlands)

    Mao, Jian Hua; Diest, Paul J.Van; Perez-Losada, Jesus; Snijders, Antoine M

    2017-01-01

    Adjuvant radiotherapy (RT) in breast cancer (BC) is often used to eradicate remaining tumor cells following surgery with the goal of maximizing local control and increasing overall survival. The current study investigated the impact of age and BC molecular subtype on overall survival after RT using

  5. СD44+/CD24- markers of cancer stem cells in patients with breast cancer of different molecular subtypes.

    Science.gov (United States)

    Chekhun, S V; Zadvorny, T V; Tymovska, Yu O; Anikusko, M F; Novak, O E; Polishchuk, L Z

    2015-03-01

    To determine frequency of tumors with immunohistochemical markers of cancer stem cells (CSC) CD44+/CD24- in patients with breast cancer (BC) of different molecular subtype and to evaluate their prognostic value. Surgical material of 132 patients with BC stage I-II, age from 23 to 75 years, mean age - 50.2 ± 3.1 years was studied. Clinical, immunohistochemical (expression CD44+/CD24-), morphological, statistical. BC is characterized by heterogeneity of molecular subtypes and expression of markers (CD44+/CD24-). Immunohistochemical study of expression of CSC markers in surgical material has detected their expression in 34 (25.4%) patients with BC of different molecular subtypes. The highest frequency of cells with expression of CSC marker was observed in patients with basal molecular subtype (44.8% patients). Most of BC patients with phenotype CD44+/CD24 had stage I of tumor process (34.3%). Statistical processing of data has showen that Yule colligation coefficient equaled 0.28 (р > 0.05) that argues poor correlation between stage of tumor process and number of tumors with positive expression of CSC markers. Statistical processing of data has showen high correlation between presence of cells with expression of CSC markers and metastases of BC in regional lymph nodes (Yule colligation coefficient equals 0.943; р molecular subtype depending on expression of CSC CD44+/CD24- markers was detected. Survival of patients with basal BC was reliably higher at lack in tumors of cells with CSC markers CD44+/CD24- and, correspondingly, lower at presence of such cells (р markers was not determined (р > 0.05). Significance of tumor cells with markers CD44+/CD24- within the limits of molecular subtype of BC may be additional criterion for advanced biological characteristic of BC, and in patients with BC of basal molecular subtype - for predictive evaluation of individual potential of tumor to aggressive clinical course.

  6. Tumour-associated endothelial-FAK correlated with molecular sub-type and prognostic factors in invasive breast cancer

    International Nuclear Information System (INIS)

    Alexopoulou, Annika N; Ho-Yen, Colan M; Papalazarou, Vassilis; Elia, George; Jones, J Louise; Hodivala-Dilke, Kairbaan

    2014-01-01

    Breast cancer is a heterogeneous disease that can be classified into one of 4 main molecular sub-types: luminal A, luminal B, Her2 over-expressing and basal-like (BL). These tumour sub-types require different treatments and have different risks of disease progression. BL cancers can be considered a sub-group of Triple negative (TN) cancers since they lack estrogen (ER), progesterone (PR) and Her2 expression. No targeted treatment currently exists for TN/BL cancers. Thus it is important to identify potential therapeutic targets and describe their relationship with established prognostic factors. Focal adhesion kinase (FAK) is upregulated in several human cancers and also plays a functional role in tumour angiogenesis. However, the association between breast cancer sub-types and tumour endothelial-FAK expression is unknown. Using immunofluorescence, we quantified FAK expression in tumour endothelial and tumour cell compartments in 149 invasive breast carcinomas and correlated expression with clinical, pathological and molecular parameters. Low endothelial-FAK expression was independently associated with luminal A tumours at univariate (p < 0.001) and multivariate (p = 0.001) analysis. There was a positive correlation between FAK expression in the vascular and tumour cell compartments (Spearman’s correlation co-efficient = 0.394, p < 0.001). Additionally, endothelial and tumour cell FAK expression were significantly increased in TN tumours (p = 0.043 and p = 0.033 respectively), in tumours with negative ER and PR status, and in high grade tumours at univariate analysis. Our findings establish a relationship between endothelial-FAK expression levels and the molecular sub-type of invasive breast cancer, and suggest that endothelial-FAK expression is potentially more clinically relevant than tumour cell FAK expression in breast cancer

  7. Prognostic and functional role of subtype-specific tumor-stroma interaction in breast cancer.

    Science.gov (United States)

    Merlino, Giuseppe; Miodini, Patrizia; Callari, Maurizio; D'Aiuto, Francesca; Cappelletti, Vera; Daidone, Maria Grazia

    2017-10-01

    None of the clinically relevant gene expression signatures available for breast cancer were specifically developed to capture the influence of the microenvironment on tumor cells. Here, we attempted to build subtype-specific signatures derived from an in vitro model reproducing tumor cell modifications after interaction with activated or normal stromal cells. Gene expression signatures derived from HER2+, luminal, and basal breast cancer cell lines (treated by normal fibroblasts or cancer-associated fibroblasts conditioned media) were evaluated in clinical tumors by in silico analysis on published gene expression profiles (GEPs). Patients were classified as microenvironment-positive (μENV+ve), that is, with tumors showing molecular profiles suggesting activation by the stroma, or microenvironment-negative (μENV-ve) based on correlation of their tumors' GEP with the respective subtype-specific signature. Patients with estrogen receptor alpha (ER)+/HER2-/μENV+ve tumors were characterized by 2.5-fold higher risk of developing distant metastases (HR = 2.546; 95% CI: 1.751-3.701, P = 9.84E-07), while μENV status did not affect, or only suggested the risk of distant metastases, in women with HER2+ (HR = 1.541; 95% CI: 0.788-3.012, P = 0.206) or ER-/HER2- tumors (HR = 1.894; 95% CI: 0.938-3.824; P = 0.0747), respectively. In ER+/HER2- tumors, the μENV status remained significantly associated with metastatic progression (HR = 2.098; CI: 1.214-3.624; P = 0.00791) in multivariable analysis including size, age, and Genomic Grade Index. Validity of our in vitro model was also supported by in vitro biological endpoints such as cell growth (MTT assay) and migration/invasion (Transwell assay). In vitro-derived gene signatures tracing the bidirectional interaction with cancer activated fibroblasts are subtype-specific and add independent prognostic information to classical prognostic variables in women with ER+/HER2- tumors. © 2017 The Authors. Published

  8. Micronutrients Involved in One-Carbon Metabolism and Risk of Breast Cancer Subtypes.

    Directory of Open Access Journals (Sweden)

    Ilaria Cancarini

    Full Text Available Vitamins involved in one-carbon metabolism are hypothesized to influence breast cancer (BC risk. However, epidemiologic studies that examined associations between B vitamin intake and BC risk have provided inconsistent results. We prospectively examined, in the Italian ORDET cohort, whether B vitamin consumption was associated with risk of BC and BC subtypes.After a mean follow-up of 16.5 years, 391 BCs were diagnosed among 10,786 cohort women. B vitamin intakes were estimated from food frequency questionnaires. Cox proportional hazard models adjusted for energy intake and confounders, estimated hazard ratios (HR with 95% confidence intervals (CIs for BC according to intake.RRs were 0.61 (95% CI 0.38-0.97 highest vs. lowest quartile; P trend 0.025 for thiamine; 0.48 (95% CI 0.32-0.71; P trend <0.001 for riboflavin; 0.59 (95% CI 0.39-0.90; P trend 0.008 for vitamin B6, and 0.65 (95% CI 0.44-0.95; P trend 0.021 for folate. As regards risk of BC subtypes, high riboflavin and folate were significantly associated with lower risk of estrogen receptor positive (ER+ and progesterone receptor positive (PR+ cancers, and high thiamine was associated with lower risk of ER-PR- cancers. High riboflavin was associated with lower risk of both HER2+ and HER2- cancers, high folate with lower risk of HER2- disease, and high thiamine with HER2+ disease.These findings support protective effects of thiamine and one-carbon metabolism vitamins (folate, riboflavin, and vitamin B6 against BC in general; while folate may also protect against ER+PR+ and HER2- disease; and thiamine against ER-PR-, and HER2+ disease.

  9. Prevalence of molecular subtypes and prognosis of invasive breast cancer in north-east of Morocco: retrospective study

    Directory of Open Access Journals (Sweden)

    Bennis Sanae

    2012-08-01

    Full Text Available Abstract Background Breast carcinoma is known as a heterogeneous disease because gene expression analyses identify several subtypes and the molecular profiles are prognostic and predictive for patients. Our aim, in this study, is to estimate the prevalence of breast cancer subtypes and to determine the relationship between clinico-pathological characteristics, overall survival (OS and disease free survival (DFS for patients coming from north-east of Morocco. Methods We reviewed 366 cases of breast cancer diagnosed between January 2007 to June 2010 at the Department of pathology. Age, size tumor, metastatic profile, node involvement profile, OS and DFS were analyzed on 181 patients. These last parameters were estimated by Kaplan-Meier analysis and log-rank test to estimate outcome differences among subgroups. Results The average age was 45 years, our patients were diagnosed late (57% stage III, 17.5% stage IV with a high average tumor size. Luminal A subtype was more prevalent (53.6% associated with favorable clinic-pathological characteristics, followed by luminal B (16.4%, Her2-overexpressing (12.6%, basal-like (12.6% and unclassified subtype (4.9%. Survival analysis showed a significant difference between subtypes. The triple negative tumors were associated with poor prognosis (49% OS, 39% DFS, whereas the luminal A were associated with a better prognosis (88% OS, 59% DFS. The luminal B and the Her2-overexpressing subtypes were associated with an intermediate prognosis (77% and 75% OS, and 41% and 38% DFS respectively. Conclusion This study showed that molecular classification by immunohistochemistry was necessary for therapeutic decision and prognosis of breast carcinoma. The luminal A subtype was associated with favorable biological characteristics and a better prognosis than triple negative tumors that were associated with a poor prognosis and unfavorable clinic-pathological characteristics.

  10. Annual Report to the Nation on the Status of Cancer, 1975-2011, Featuring Incidence of Breast Cancer Subtypes by Race/Ethnicity, Poverty, and State.

    Science.gov (United States)

    Kohler, Betsy A; Sherman, Recinda L; Howlader, Nadia; Jemal, Ahmedin; Ryerson, A Blythe; Henry, Kevin A; Boscoe, Francis P; Cronin, Kathleen A; Lake, Andrew; Noone, Anne-Michelle; Henley, S Jane; Eheman, Christie R; Anderson, Robert N; Penberthy, Lynne

    2015-06-01

    The American Cancer Society (ACS), Centers for Disease Control and Prevention (CDC), National Cancer Institute (NCI), and North American Association of Central Cancer Registries (NAACCR) collaborate annually to produce updated, national cancer statistics. This Annual Report includes a focus on breast cancer incidence by subtype using new, national-level data. Population-based cancer trends and breast cancer incidence by molecular subtype were calculated. Breast cancer subtypes were classified using tumor biomarkers for hormone receptor (HR) and human growth factor-neu receptor (HER2) expression. Overall cancer incidence decreased for men by 1.8% annually from 2007 to 2011 [corrected]. Rates for women were stable from 1998 to 2011. Within these trends there was racial/ethnic variation, and some sites have increasing rates. Among children, incidence rates continued to increase by 0.8% per year over the past decade while, like adults, mortality declined. HR+/HER2- breast cancers, the subtype with the best prognosis, were the most common for all races/ethnicities with highest rates among non-Hispanic white women, local stage cases, and low poverty areas (92.7, 63.51, and 98.69 per 100000 non-Hispanic white women, respectively). HR+/HER2- breast cancer incidence rates were strongly, positively correlated with mammography use, particularly for non-Hispanic white women (Pearson 0.57, two-sided P < .001). Triple-negative breast cancers, the subtype with the worst prognosis, were highest among non-Hispanic black women (27.2 per 100000 non-Hispanic black women), which is reflected in high rates in southeastern states. Progress continues in reducing the burden of cancer in the United States. There are unique racial/ethnic-specific incidence patterns for breast cancer subtypes; likely because of both biologic and social risk factors, including variation in mammography use. Breast cancer subtype analysis confirms the capacity of cancer registries to adjust national collection

  11. Invasive lobular breast cancer: the prognostic impact of histopathological grade, E-cadherin and molecular subtypes.

    Science.gov (United States)

    Engstrøm, Monica J; Opdahl, Signe; Vatten, Lars J; Haugen, Olav A; Bofin, Anna M

    2015-02-01

    The aim of this study was to compare breast cancer specific survival (BCSS) for invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC) and, further, to evaluate critically the prognostic value of histopathological grading of ILC and examine E-cadherin as a prognostic marker in ILC. The study comprised 116 lobular and 611 ductal breast carcinomas occurring between 1961 and 2008. All cases had been classified previously according to histopathological type and grade, stained for oestrogen receptor (ER), progesterone receptor (PR), antigen Ki67 (Ki67), epithelial growth factor receptor (EGFR), cytokeratin 5 (CK5) and human epidermal growth factor receptor 2 (HER2) and classified into molecular subtypes. For the present study, immunohistochemical staining for E-cadherin was performed. The Kaplan-Meier method and Cox proportional hazards models were used in the analyses. Grade 2 tumours comprised 85.3% of the lobular tumours and 51.9% of the ductal tumours. BCSS in ILC grade 2 was comparable to that of IDC grade 3. E-cadherin-negative ILC had a poorer prognosis compared to E-cadherin positive ILC and to IDC regardless of E-cadherin status. The implication of histopathological grading may differ in ILC compared to IDC. E-cadherin may be useful in prognostication in ILC and thereby influence the determination of treatment strategies for this group of women. © 2014 The Authors. Histopathology published by John Wiley & Sons Ltd.

  12. Circulating RANKL and RANKL/OPG and Breast Cancer Risk by ER and PR Subtype: Results from the EPIC Cohort.

    Science.gov (United States)

    Sarink, Danja; Schock, Helena; Johnson, Theron; Overvad, Kim; Holm, Marianne; Tjønneland, Anne; Boutron-Ruault, Marie-Christine; His, Mathilde; Kvaskoff, Marina; Boeing, Heiner; Lagiou, Pagona; Papatesta, Eleni-Maria; Trichopoulou, Antonia; Palli, Domenico; Pala, Valeria; Mattiello, Amalia; Tumino, Rosario; Sacerdote, Carlotta; Bueno-de-Mesquita, H B As; van Gils, Carla H; Peeters, Petra H; Weiderpass, Elisabete; Agudo, Antonio; Sánchez, Maria-José; Chirlaque, Maria-Dolores; Ardanaz, Eva; Amiano, Pilar; Khaw, Kay Tee; Travis, Ruth; Dossus, Laure; Gunter, Mark; Rinaldi, Sabina; Merritt, Melissa; Riboli, Elio; Kaaks, Rudolf; Fortner, Renée T

    2017-09-01

    Receptor activator of nuclear factor-kappa B (RANK)-RANK ligand (RANKL) signaling promotes mammary tumor development in experimental models. Circulating concentrations of soluble RANKL (sRANKL) may influence breast cancer risk via activation of RANK signaling; this may be modulated by osteoprotegerin (OPG), the decoy receptor for RANKL. sRANKL and breast cancer risk by hormone receptor subtype has not previously been investigated. A case-control study was nested in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. This study included 1,976 incident invasive breast cancer cases [estrogen receptor positive (ER+), n = 1,598], matched 1:1 to controls. Women were pre- or postmenopausal at blood collection. Serum sRANKL was quantified using an ELISA, serum OPG using an electrochemiluminescent assay. Risk ratios (RR) and 95% confidence intervals (95% CI) were calculated using conditional logistic regression. Associations between sRANKL and breast cancer risk differed by tumor hormone receptor status ( P het = 0.05). Higher concentrations of sRANKL were positively associated with risk of ER+ breast cancer [5th vs. 1st quintile RR 1.28 (95% CI, 1.01-1.63); P trend = 0.20], but not ER- disease. For both ER+ and estrogen and progesterone receptor positive (ER+PR+) breast cancer, results considering the sRANKL/OPG ratio were similar to those for sRANKL; we observed a suggestive inverse association between the ratio and ER-PR- disease [5th vs. 1st quintile RR = 0.60 (0.31-1.14); P trend = 0.03]. This study provides the first large-scale prospective data on circulating sRANKL and breast cancer. We observed limited evidence for an association between sRANKL and breast cancer risk. Cancer Prev Res; 10(9); 525-34. ©2017 AACR . ©2017 American Association for Cancer Research.

  13. Diffusion-weighted imaging features of breast tumours and the surrounding stroma reflect intrinsic heterogeneous characteristics of molecular subtypes in breast cancer

    KAUST Repository

    Fan, Ming

    2017-12-16

    Breast cancer heterogeneity is the main obstacle preventing the identification of patients with breast cancer with poor prognoses and treatment responses; however, such heterogeneity has not been well characterized. The purpose of this retrospective study was to reveal heterogeneous patterns in the apparent diffusion coefficient (ADC) signals in tumours and the surrounding stroma to predict molecular subtypes of breast cancer. A dataset of 126 patients with breast cancer, who underwent preoperative diffusion-weighted imaging (DWI) on a 3.0-T image system, was collected. Breast images were segmented into regions comprising the tumour and surrounding stromal shells in which features that reflect heterogeneous ADC signal distribution were extracted. For each region, imaging features were computed, including the mean, minimum, variance, interquartile range (IQR), range, skewness, kurtosis and entropy of ADC values. Univariate and stepwise multivariate logistic regression modelling was performed to identify the magnetic resonance imaging features that optimally discriminate luminal A, luminal B, human epidermal growth factor 2 (HER2)-enriched and basal-like molecular subtypes. The performance of the predictive models was evaluated using the area under the receiver operating characteristic curve (AUC). Univariate logistic regression analysis showed that the skewness in the tumour boundary achieved an AUC of 0.718 for discrimination between luminal A and non-luminal A tumours, whereas the IQR of the ADC value in the tumour boundary had an AUC of 0.703 for classification of the HER2-enriched subtype. Imaging features in the tumour boundary and the proximal peritumoral stroma corresponded to a higher overall prediction performance than those in other regions. A multivariate logistic regression model combining features in all the regions achieved an overall AUC of 0.800 for the classification of the four tumour subtypes. These findings suggest that features in the tumour

  14. Diffusion-weighted imaging features of breast tumours and the surrounding stroma reflect intrinsic heterogeneous characteristics of molecular subtypes in breast cancer

    KAUST Repository

    Fan, Ming; He, Ting; Zhang, Peng; Cheng, Hu; Zhang, Juan; Gao, Xin; Li, Lihua

    2017-01-01

    Breast cancer heterogeneity is the main obstacle preventing the identification of patients with breast cancer with poor prognoses and treatment responses; however, such heterogeneity has not been well characterized. The purpose of this retrospective study was to reveal heterogeneous patterns in the apparent diffusion coefficient (ADC) signals in tumours and the surrounding stroma to predict molecular subtypes of breast cancer. A dataset of 126 patients with breast cancer, who underwent preoperative diffusion-weighted imaging (DWI) on a 3.0-T image system, was collected. Breast images were segmented into regions comprising the tumour and surrounding stromal shells in which features that reflect heterogeneous ADC signal distribution were extracted. For each region, imaging features were computed, including the mean, minimum, variance, interquartile range (IQR), range, skewness, kurtosis and entropy of ADC values. Univariate and stepwise multivariate logistic regression modelling was performed to identify the magnetic resonance imaging features that optimally discriminate luminal A, luminal B, human epidermal growth factor 2 (HER2)-enriched and basal-like molecular subtypes. The performance of the predictive models was evaluated using the area under the receiver operating characteristic curve (AUC). Univariate logistic regression analysis showed that the skewness in the tumour boundary achieved an AUC of 0.718 for discrimination between luminal A and non-luminal A tumours, whereas the IQR of the ADC value in the tumour boundary had an AUC of 0.703 for classification of the HER2-enriched subtype. Imaging features in the tumour boundary and the proximal peritumoral stroma corresponded to a higher overall prediction performance than those in other regions. A multivariate logistic regression model combining features in all the regions achieved an overall AUC of 0.800 for the classification of the four tumour subtypes. These findings suggest that features in the tumour

  15. Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype

    DEFF Research Database (Denmark)

    da Silveira, W A; Palma, P V B; Sicchieri, R D

    2017-01-01

    Breast cancer is the most common cancer in women worldwide and metastatic dissemination is the principal factor related to death by this disease. Breast cancer stem cells (bCSC) are thought to be responsible for metastasis and chemoresistance. In this study, based on whole transcriptome analysis...... of these networks in patient tumours is predictive of engraftment success. Our findings point out a potential molecular mechanism underlying the balance between immune surveillance and EMT activation in breast cancer. This molecular mechanism may be useful to the development of new target therapies....... and IKZF3 transcription factors which correspond to immune response modulators. Immune response network expression is correlated with pathological response to chemotherapy, and in the Basal subtype is related to better recurrence-free survival. In patient-derived xenografts, the expression...

  16. PAM50 Breast Cancer Subtyping by RT-qPCR and Concordance with Standard Clinical Molecular Markers

    Directory of Open Access Journals (Sweden)

    Bastien Roy RL

    2012-10-01

    Full Text Available Abstract Background Many methodologies have been used in research to identify the “intrinsic” subtypes of breast cancer commonly known as Luminal A, Luminal B, HER2-Enriched (HER2-E and Basal-like. The PAM50 gene set is often used for gene expression-based subtyping; however, surrogate subtyping using panels of immunohistochemical (IHC markers are still widely used clinically. Discrepancies between these methods may lead to different treatment decisions. Methods We used the PAM50 RT-qPCR assay to expression profile 814 tumors from the GEICAM/9906 phase III clinical trial that enrolled women with locally advanced primary invasive breast cancer. All samples were scored at a single site by IHC for estrogen receptor (ER, progesterone receptor (PR, and Her2/neu (HER2 protein expression. Equivocal HER2 cases were confirmed by chromogenic in situ hybridization (CISH. Single gene scores by IHC/CISH were compared with RT-qPCR continuous gene expression values and “intrinsic” subtype assignment by the PAM50. High, medium, and low expression for ESR1, PGR, ERBB2, and proliferation were selected using quartile cut-points from the continuous RT-qPCR data across the PAM50 subtype assignments. Results ESR1, PGR, and ERBB2 gene expression had high agreement with established binary IHC cut-points (area under the curve (AUC ≥ 0.9. Estrogen receptor positivity by IHC was strongly associated with Luminal (A and B subtypes (92%, but only 75% of ER negative tumors were classified into the HER2-E and Basal-like subtypes. Luminal A tumors more frequently expressed PR than Luminal B (94% vs 74% and Luminal A tumors were less likely to have high proliferation (11% vs 77%. Seventy-seven percent (30/39 of ER-/HER2+ tumors by IHC were classified as the HER2-E subtype. Triple negative tumors were mainly comprised of Basal-like (57% and HER2-E (30% subtypes. Single gene scoring for ESR1, PGR, and ERBB2 was more prognostic than the corresponding IHC markers as

  17. Effect of Tumor Subtype on Survival and the Graded Prognostic Assessment for Patients With Breast Cancer and Brain Metastases

    Energy Technology Data Exchange (ETDEWEB)

    Sperduto, Paul W., E-mail: psperduto@mropa.com [University of Minnesota Gamma Knife, Minneapolis Radiation Oncology, Minneapolis, MN (United States); Kased, Norbert [Department of Radiation Oncology, University of California-San Francisco, San Francisco, CA (United States); Roberge, David [Radiation Oncology, McGill University Health Center, Montreal, QC (Canada); Xu Zhiyuan [Department of Neurosurgery, Cleveland Clinic, Cleveland, OH (United States); Shanley, Ryan [Masonic Cancer Center, University of Minnesota, Minneapolis, MN (United States); Luo, Xianghua [Masonic Cancer Center, University of Minnesota, Minneapolis, MN (United States); Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN (United States); Sneed, Penny K. [Department of Radiation Oncology, University of California-San Francisco, San Francisco, CA (United States); Chao, Samuel T. [Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH (United States); Weil, Robert J. [Department of Neurosurgery, Cleveland Clinic, Cleveland, OH (United States); Suh, John [Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH (United States); Bhatt, Amit [Department of Human Oncology, University of Wisconsin, Madison, WI (United States); Jensen, Ashley W.; Brown, Paul D. [Department of Radiation Oncology, Mayo Clinic, Rochester, MN (United States); Shih, Helen A. [Massachusetts General Hospital, Department of Radiation Oncology, Harvard Medical School, Boston, MA (United States); Kirkpatrick, John [Department of Radiation Oncology, Duke University Medical Center, Durham, NC (United States); Gaspar, Laurie E. [Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO (United States); Fiveash, John B. [Radiation Oncology, University of Alabama Medical Center at Birmingham, Birmingham, AL (United States); and others

    2012-04-01

    Purpose: The diagnosis-specific Graded Prognostic Assessment (GPA) was published to clarify prognosis for patients with brain metastases. This study refines the existing Breast-GPA by analyzing a larger cohort and tumor subtype. Methods and Materials: A multi-institutional retrospective database of 400 breast cancer patients treated for newly diagnosed brain metastases was generated. Prognostic factors significant for survival were analyzed by multivariate Cox regression and recursive partitioning analysis (RPA). Factors were weighted by the magnitude of their regression coefficients to define the GPA index. Results: Significant prognostic factors by multivariate Cox regression and RPA were Karnofsky performance status (KPS), HER2, ER/PR status, and the interaction between ER/PR and HER2. RPA showed age was significant for patients with KPS 60 to 80. The median survival time (MST) overall was 13.8 months, and for GPA scores of 0 to 1.0, 1.5 to 2.0, 2.5 to 3.0, and 3.5 to 4.0 were 3.4 (n = 23), 7.7 (n = 104), 15.1 (n = 140), and 25.3 (n = 133) months, respectively (p < 0.0001). Among HER2-negative patients, being ER/PR positive improved MST from 6.4 to 9.7 months, whereas in HER2-positive patients, being ER/PR positive improved MST from 17.9 to 20.7 months. The log-rank statistic (predictive power) was 110 for the Breast-GPA vs. 55 for tumor subtype. Conclusions: The Breast-GPA documents wide variation in prognosis and shows clear separation between subgroups of patients with breast cancer and brain metastases. This tool will aid clinical decision making and stratification in clinical trials. These data confirm the effect of tumor subtype on survival and show the Breast-GPA offers significantly more predictive power than the tumor subtype alone.

  18. Is there a correlation between the presence of a spiculated mass on mammogram and luminal a subtype breast cancer?

    International Nuclear Information System (INIS)

    Liu, Song; Wu, Xiao Dong; Xu, Wen Jian; Lin, Qing; Liu, Xue Jun; Li, Ying

    2016-01-01

    To determine whether the appearance of a spiculated mass on a mammogram is associated with luminal A subtype breast cancer and the factors that may influence the presence or absence of the spiculated mass. Three hundred seventeen (317) patients who underwent image-guided or surgical biopsy between December 2014 and April 2015 were included in the study. Radiologists conducted retrospective assessments of the presence of spiculated masses according to the criteria of Breast Imaging Reporting and Data System. We used combinations of estrogen receptor (ER), progesterone receptor (PR), human epithelial growth factor receptor 2 (HER2), and Ki67 as surrogate markers to identify molecular subtypes of breast cancer. Pearson chi-square test was employed to measure statistical significance of correlations. Furthermore, we built a bi-variate logistic regression model to quantify the relative contribution of the factors that may influence the presence or absence of the spiculated mass. Seventy-one percent (71%) of the spiculated masses were classified as luminal A. Masses classified as luminal A were 10.3 times more likely to be presented as spiculated mass on a mammogram than all other subtypes. Patients with low Ki67 index (< 14%) and HER2 negative were most likely to present with a spiculated mass on their mammograms (p <0.001) than others. The hormone receptor status (ER and PR), pathology grade, overall breast composition, were all associated with the presence of a spiculated mass, but with less weight in contribution than Ki67 and HER2. We observed an association between the luminal A subtype of invasive breast cancer and the presence of a spiculated mass on a mammogram. It is hypothesized that lower Ki67 index and HER2 negativity may be the most significant factors in the presence of a spiculated mass

  19. Is there a correlation between the presence of a spiculated mass on mammogram and luminal a subtype breast cancer?

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Song; Wu, Xiao Dong; Xu, Wen Jian; Lin, Qing; Liu, Xue Jun; Li, Ying [The Affiliated Hospital of Qingdao University, Qingdao (China)

    2016-11-15

    To determine whether the appearance of a spiculated mass on a mammogram is associated with luminal A subtype breast cancer and the factors that may influence the presence or absence of the spiculated mass. Three hundred seventeen (317) patients who underwent image-guided or surgical biopsy between December 2014 and April 2015 were included in the study. Radiologists conducted retrospective assessments of the presence of spiculated masses according to the criteria of Breast Imaging Reporting and Data System. We used combinations of estrogen receptor (ER), progesterone receptor (PR), human epithelial growth factor receptor 2 (HER2), and Ki67 as surrogate markers to identify molecular subtypes of breast cancer. Pearson chi-square test was employed to measure statistical significance of correlations. Furthermore, we built a bi-variate logistic regression model to quantify the relative contribution of the factors that may influence the presence or absence of the spiculated mass. Seventy-one percent (71%) of the spiculated masses were classified as luminal A. Masses classified as luminal A were 10.3 times more likely to be presented as spiculated mass on a mammogram than all other subtypes. Patients with low Ki67 index (< 14%) and HER2 negative were most likely to present with a spiculated mass on their mammograms (p <0.001) than others. The hormone receptor status (ER and PR), pathology grade, overall breast composition, were all associated with the presence of a spiculated mass, but with less weight in contribution than Ki67 and HER2. We observed an association between the luminal A subtype of invasive breast cancer and the presence of a spiculated mass on a mammogram. It is hypothesized that lower Ki67 index and HER2 negativity may be the most significant factors in the presence of a spiculated mass.

  20. Basal Subtype of Invasive Breast Cancer Is Associated With a Higher Risk of True Recurrence After Conventional Breast-Conserving Therapy

    Energy Technology Data Exchange (ETDEWEB)

    Hattangadi-Gluth, Jona A. [Harvard Radiation Oncology Program, Boston, Massachusetts (United States); Wo, Jennifer Y. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Nguyen, Paul L. [Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women' s Hospital, Boston, Massachusetts (United States); Abi Raad, Rita F. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Sreedhara, Meera [Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women' s Hospital, Boston, Massachusetts (United States); Niemierko, Andrzej [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Freer, Phoebe E. [Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts (United States); Georgian-Smith, Dianne [Department of Radiology, Brigham and Women' s Hospital, Boston, Massachusetts (United States); Bellon, Jennifer R.; Wong, Julia S. [Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women' s Hospital, Boston, Massachusetts (United States); Smith, Barbara L. [Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts (United States); Harris, Jay R. [Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women' s Hospital, Boston, Massachusetts (United States); Taghian, Alphonse G., E-mail: ataghian@partners.org [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States)

    2012-03-01

    Purpose: To determine whether breast cancer subtype is associated with patterns of ipsilateral breast tumor recurrence (IBTR), either true recurrence (TR) or elsewhere local recurrence (ELR), among women with pT1-T2 invasive breast cancer (IBC) who receive breast-conserving therapy (BCT). Methods and Materials: From Jan 1998 to Dec 2003, 1,223 women with pT1-T2N0-3 IBC were treated with BCT (lumpectomy plus whole-breast radiation). Ninety percent of patients received adjuvant systemic therapy, but none received trastuzumab. Biologic cancer subtypes were approximated by determining estrogen receptor-positive (ER+), progesterone receptor-positive (PR+), and human epidermal growth factor receptor-2-positive (HER-2+) expression, classified as luminal A (ER+ or PR+ and HER-2 negative [HER-2-]), luminal B (ER+ or PR+ and HER-2+), HER-2 (ER- and PR- and HER-2+), and basal (ER- and PR- and HER-2- ) subtypes. Imaging, pathology, and operative reports were reviewed by two physicians independently, including an attending breast radiologist. Readers were blinded to subtype and outcome. TR was defined as IBTR within the same quadrant and within 3 cm of the primary tumor. All others were defined as ELR. Results: At a median follow-up of 70 months, 24 patients developed IBTR (5-year cumulative incidence of 1.6%), including 15 TR and 9 ELR patients. At 5 years, basal (4.4%) and HER-2 (9%) subtypes had a significantly higher incidence of TR than luminal B (1.2%) and luminal A (0.2%) subtypes (p < 0.0001). On multivariate analysis, basal subtype (hazard ratio [HR], 4.8, p = 0.01), younger age at diagnosis (HR, 0.97; p = 0.05), and increasing tumor size (HR, 2.1; p = 0.04) were independent predictors of TR. Only younger age (HR, 0.95; p = 0.01) significantly predicted for ELR. Conclusions: Basal and HER-2 subtypes are significantly associated with higher rates of TR among women with pT1-T2 IBC after BCT. Younger age predicts for both TR and ELR. Strategies to reduce TR in basal

  1. The role of tumor molecular subtypes in formation of personalized approach to the theatment of the breast cancer

    Directory of Open Access Journals (Sweden)

    Bondarenko I.N.

    2016-05-01

    Full Text Available Extreme heterogeneity of breast cancer (BC is considered to be one of the reasons that affects the success of treatment. According to current classifications, there are 4 molecular subtypes (MS. The basis for subtypes division is immunohistochemical testing of tumor cell receptors - estrogen (ER, progesterone (PR, HER2-neu and Ki-67. The doctrine of the tumor MS was the basis for the individualization of therapeutic tactics in patients with breast cancer. It was studied that luminal A subtype is the most common and the most favorable, with hormone therapy being a highly effective treatment method. Luminal B subtype, HER2 - positive and triple negative MS is characterized by a high ag­gressiveness, worse survival rate of patients and better prognostic effect of chemotherapy. The importance of determining the level of Ki-67 for assessment of tumor aggressiveness was revealed. Significant differences in receptor status of the primary tumor and metastases were proven. Data on the impact of changes in receptor status of the tumor prognosis are ambiguous and need further study. The use of targeted agents in the treatment of HER2 + patients can significantly improve treatment outcomes, turning this MS from historically aggressive subgroup to quite favorable.

  2. Signaling Network Assessment of Mutations and Copy Number Variations Predict Breast Cancer Subtype-Specific Drug Targets

    Directory of Open Access Journals (Sweden)

    Naif Zaman

    2013-10-01

    Full Text Available Individual cancer cells carry a bewildering number of distinct genomic alterations (e.g., copy number variations and mutations, making it a challenge to uncover genomic-driven mechanisms governing tumorigenesis. Here, we performed exome sequencing on several breast cancer cell lines that represent two subtypes, luminal and basal. We integrated these sequencing data and functional RNAi screening data (for the identification of genes that are essential for cell proliferation and survival onto a human signaling network. Two subtype-specific networks that potentially represent core-signaling mechanisms underlying tumorigenesis were identified. Within both networks, we found that genes were differentially affected in different cell lines; i.e., in some cell lines a gene was identified through RNAi screening, whereas in others it was genomically altered. Interestingly, we found that highly connected network genes could be used to correctly classify breast tumors into subtypes on the basis of genomic alterations. Further, the networks effectively predicted subtype-specific drug targets, which were experimentally validated.

  3. Integration of genomic, transcriptomic and proteomic data identifies two biologically distinct subtypes of invasive lobular breast cancer.

    Science.gov (United States)

    Michaut, Magali; Chin, Suet-Feung; Majewski, Ian; Severson, Tesa M; Bismeijer, Tycho; de Koning, Leanne; Peeters, Justine K; Schouten, Philip C; Rueda, Oscar M; Bosma, Astrid J; Tarrant, Finbarr; Fan, Yue; He, Beilei; Xue, Zheng; Mittempergher, Lorenza; Kluin, Roelof J C; Heijmans, Jeroen; Snel, Mireille; Pereira, Bernard; Schlicker, Andreas; Provenzano, Elena; Ali, Hamid Raza; Gaber, Alexander; O'Hurley, Gillian; Lehn, Sophie; Muris, Jettie J F; Wesseling, Jelle; Kay, Elaine; Sammut, Stephen John; Bardwell, Helen A; Barbet, Aurélie S; Bard, Floriane; Lecerf, Caroline; O'Connor, Darran P; Vis, Daniël J; Benes, Cyril H; McDermott, Ultan; Garnett, Mathew J; Simon, Iris M; Jirström, Karin; Dubois, Thierry; Linn, Sabine C; Gallagher, William M; Wessels, Lodewyk F A; Caldas, Carlos; Bernards, Rene

    2016-01-05

    Invasive lobular carcinoma (ILC) is the second most frequently occurring histological breast cancer subtype after invasive ductal carcinoma (IDC), accounting for around 10% of all breast cancers. The molecular processes that drive the development of ILC are still largely unknown. We have performed a comprehensive genomic, transcriptomic and proteomic analysis of a large ILC patient cohort and present here an integrated molecular portrait of ILC. Mutations in CDH1 and in the PI3K pathway are the most frequent molecular alterations in ILC. We identified two main subtypes of ILCs: (i) an immune related subtype with mRNA up-regulation of PD-L1, PD-1 and CTLA-4 and greater sensitivity to DNA-damaging agents in representative cell line models; (ii) a hormone related subtype, associated with Epithelial to Mesenchymal Transition (EMT), and gain of chromosomes 1q and 8q and loss of chromosome 11q. Using the somatic mutation rate and eIF4B protein level, we identified three groups with different clinical outcomes, including a group with extremely good prognosis. We provide a comprehensive overview of the molecular alterations driving ILC and have explored links with therapy response. This molecular characterization may help to tailor treatment of ILC through the application of specific targeted, chemo- and/or immune-therapies.

  4. Risk of mortality of node-negative, ER/PR/HER2 breast cancer subtypes in T1, T2, and T3 tumors.

    Science.gov (United States)

    Parise, Carol A; Caggiano, Vincent

    2017-10-01

    The purpose of this study was to assess differences in breast cancer-specific mortality within tumors of the same size when breast cancer was defined using the three tumor markers estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). We identified 104,499 cases of node-negative primary female invasive breast cancer from the California Cancer Registry. Tumor size was categorized as T1a, T1b, T1c, T2, and T3. Breast cancer was defined using ER, PR, and HER2. Kaplan-Meier Survival analysis was conducted and Cox Regression was used to compute the adjusted risk of mortality for the ER+/PR+/HER2+, ER-/PR-/HER2- (TNBC), and ER-/PR-/HER2+ (HER2-overexpressing) subtypes when compared with the ER+/PR+/HER2-. Separate models were computed for each tumor size. Unadjusted survival analysis showed that for all tumor sizes, the ER+/PR+ subtypes regardless of HER status have better breast cancer-specific survival than ER-/PR- subtypes. Subtype was not an important factor for risk of mortality for T1a tumors. The ER+/PR+/HER2+ subtype was only a risk for mortality in T1b tumors that were unadjusted for treatment. For all other tumor sizes, the ER+/PR+/HER2+ had the same mortality as the ER+/PR+/HER2- subtype regardless of adjustment for treatment. The HER2-overexpressing subtype had a higher risk of mortality than the ER+/PR+/HER2- subtype except for T1b tumors that were adjusted for treatment. For all tumor sizes, the TNBC had higher hazard ratios than all other subtypes. T1a tumors have the same risk of mortality regardless of ER/PR/HER2 subtype, and ER and PR negativity plays a stronger role in survival than HER2 positivity for tumors of all size.

  5. CCR 20th Anniversary Commentary: The Development of Breast Cancer Molecular Subtyping.

    Science.gov (United States)

    Nielsen, Torsten O; Perou, Charles M

    2015-04-15

    In the August 15, 2004, issue of Clinical Cancer Research, Nielsen and colleagues demonstrated how a cancer subtype identified by gene expression profiling could be validated using a widely accessible technology (immunohistochemistry). This opened the door to large-scale studies of archival cohorts and clinical trials, which allowed detailed clinical understanding of a new genomic discovery. Clin Cancer Res; 21(8); 1779-81. ©2015 AACR. See related article by Nielsen et al., Clin Cancer Res 2004;10(16) Aug 15, 2004;5367-74. ©2015 American Association for Cancer Research.

  6. Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012.

    Science.gov (United States)

    Plevritis, Sylvia K; Munoz, Diego; Kurian, Allison W; Stout, Natasha K; Alagoz, Oguzhan; Near, Aimee M; Lee, Sandra J; van den Broek, Jeroen J; Huang, Xuelin; Schechter, Clyde B; Sprague, Brian L; Song, Juhee; de Koning, Harry J; Trentham-Dietz, Amy; van Ravesteyn, Nicolien T; Gangnon, Ronald; Chandler, Young; Li, Yisheng; Xu, Cong; Ergun, Mehmet Ali; Huang, Hui; Berry, Donald A; Mandelblatt, Jeanne S

    2018-01-09

    Given recent advances in screening mammography and adjuvant therapy (treatment), quantifying their separate and combined effects on US breast cancer mortality reductions by molecular subtype could guide future decisions to reduce disease burden. To evaluate the contributions associated with screening and treatment to breast cancer mortality reductions by molecular subtype based on estrogen-receptor (ER) and human epidermal growth factor receptor 2 (ERBB2, formerly HER2 or HER2/neu). Six Cancer Intervention and Surveillance Network (CISNET) models simulated US breast cancer mortality from 2000 to 2012 using national data on plain-film and digital mammography patterns and performance, dissemination and efficacy of ER/ERBB2-specific treatment, and competing mortality. Multiple US birth cohorts were simulated. Screening mammography and treatment. The models compared age-adjusted, overall, and ER/ERBB2-specific breast cancer mortality rates from 2000 to 2012 for women aged 30 to 79 years relative to the estimated mortality rate in the absence of screening and treatment (baseline rate); mortality reductions were apportioned to screening and treatment. In 2000, the estimated reduction in overall breast cancer mortality rate was 37% (model range, 27%-42%) relative to the estimated baseline rate in 2000 of 64 deaths (model range, 56-73) per 100 000 women: 44% (model range, 35%-60%) of this reduction was associated with screening and 56% (model range, 40%-65%) with treatment. In 2012, the estimated reduction in overall breast cancer mortality rate was 49% (model range, 39%-58%) relative to the estimated baseline rate in 2012 of 63 deaths (model range, 54-73) per 100 000 women: 37% (model range, 26%-51%) of this reduction was associated with screening and 63% (model range, 49%-74%) with treatment. Of the 63% associated with treatment, 31% (model range, 22%-37%) was associated with chemotherapy, 27% (model range, 18%-36%) with hormone therapy, and 4% (model range, 1

  7. MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study.

    Science.gov (United States)

    Holli-Helenius, Kirsi; Salminen, Annukka; Rinta-Kiikka, Irina; Koskivuo, Ilkka; Brück, Nina; Boström, Pia; Parkkola, Riitta

    2017-12-29

    The aim of this study was to use texture analysis (TA) of breast magnetic resonance (MR) images to assist in differentiating estrogen receptor (ER) positive breast cancer molecular subtypes. Twenty-seven patients with histopathologically proven invasive ductal breast cancer were selected in preliminary study. Tumors were classified into molecular subtypes: luminal A (ER-positive and/or progesterone receptor (PR)-positive, human epidermal growth factor receptor type 2 (HER2) -negative, proliferation marker Ki-67 MaZda. Texture parameters and tumour volumes were correlated with tumour prognostic factors. Textural differences were observed mainly in precontrast images. The two most discriminative texture parameters to differentiate luminal A and luminal B subtypes were sum entropy and sum variance (p = 0.003). The AUCs were 0.828 for sum entropy (p = 0.004), and 0.833 for sum variance (p = 0.003), and 0.878 for the model combining texture features sum entropy, sum variance (p = 0.001). In the LOOCV, the AUC for model combining features sum entropy and sum variance was 0.876. Sum entropy and sum variance showed positive correlation with higher Ki-67 index. Luminal B types were larger in volume and moderate correlation between larger tumour volume and higher Ki-67 index was also observed (r = 0.499, p = 0.008). Texture features which measure randomness, heterogeneity or smoothness and homogeneity may either directly or indirectly reflect underlying growth patterns of breast tumours. TA and volumetric analysis may provide a way to evaluate the biologic aggressiveness of breast tumours and provide aid in decisions regarding therapeutic efficacy.

  8. Breast Cancer Survival Defined by the ER/PR/HER2 Subtypes and a Surrogate Classification according to Tumor Grade and Immunohistochemical Bio markers

    International Nuclear Information System (INIS)

    Parise, C. A.; Caggiano, V.

    2014-01-01

    ER, PR, and HER2 are routinely available in breast cancer specimens. The purpose of this study is to contrast breast cancer-specific survival for the eight ER/PR/HER2 subtypes with survival of an immunohistochemical surrogate for the molecular subtype based on the ER/PR/HER2 subtypes and tumor grade. Methods. We identified 123,780 cases of stages 1-3 primary female invasive breast cancer from California Cancer Registry. The surrogate classification was derived using ER/PR/HER2 and tumor grade. Kaplan-Meier survival analysis and Cox proportional hazards modeling were used to assess differences in survival and risk of mortality for the ER/PR/HER2 subtypes and surrogate classification within each stage. Results. The luminal B/HER2− surrogate classification had a higher risk of mortality than the luminal B/HER2+ for all stages of disease. There was no difference in risk of mortality between the ER+/PR+/HER2− and ER+/PR+/HER2+ in stage 3. With one exception in stage 3, the ER-negative subtypes all had an increased risk of mortality when compared with the ER-positive subtypes. Conclusions. Assessment of survival using ER/PR/HER2 illustrates the heterogeneity of HER2+ subtypes. The surrogate classification provides clear separation in survival and adjusted mortality but underestimates the wide variability within the subtypes that make up the classification.

  9. Breast Cancer Survival Defined by the ER/PR/HER2 Subtypes and a Surrogate Classification according to Tumor Grade and Immunohistochemical Biomarkers

    Directory of Open Access Journals (Sweden)

    Carol A. Parise

    2014-01-01

    Full Text Available Introduction. ER, PR, and HER2 are routinely available in breast cancer specimens. The purpose of this study is to contrast breast cancer-specific survival for the eight ER/PR/HER2 subtypes with survival of an immunohistochemical surrogate for the molecular subtype based on the ER/PR/HER2 subtypes and tumor grade. Methods. We identified 123,780 cases of stages 1–3 primary female invasive breast cancer from California Cancer Registry. The surrogate classification was derived using ER/PR/HER2 and tumor grade. Kaplan-Meier survival analysis and Cox proportional hazards modeling were used to assess differences in survival and risk of mortality for the ER/PR/HER2 subtypes and surrogate classification within each stage. Results. The luminal B/HER2− surrogate classification had a higher risk of mortality than the luminal B/HER2+ for all stages of disease. There was no difference in risk of mortality between the ER+/PR+/HER2− and ER+/PR+/HER2+ in stage 3. With one exception in stage 3, the ER-negative subtypes all had an increased risk of mortality when compared with the ER-positive subtypes. Conclusions. Assessment of survival using ER/PR/HER2 illustrates the heterogeneity of HER2+ subtypes. The surrogate classification provides clear separation in survival and adjusted mortality but underestimates the wide variability within the subtypes that make up the classification.

  10. The Values of Combined and Sub-Stratified Imaging Scores with Ultrasonography and Mammography in Breast Cancer Subtypes.

    Directory of Open Access Journals (Sweden)

    Tsun-Hou Chang

    Full Text Available The Breast Imaging Reporting and Data System (BI-RADS of Mammography (MG and Ultrasonography (US were equivalent to the "5-point score" and applied for combined and sub-stratified imaging assessments. This study evaluated the value of combined and sub-stratified imaging assessments with MG and US over breast cancer subtypes (BCS.Medical records of 5,037 cases having imaging-guided core biopsy, performed from 2009 to 2012, were retrospectively reviewed. This study selected 1,995 cases (1,457 benign and 538 invasive cancer having both MG and US before biopsy. These cases were categorized with the "5-point score" for their MG and US, and applied for combined and sub-stratified imaging assessments. Invasive cancers were classified on the basis of BCS, and correlated with combined and sub-stratified imaging assessments.These selected cases were evaluated by the "5-point score." MG, US, and combined and sub-stratified imaging assessments all revealed statistically significant (P < 0.001 incidence of malignancy. The sensitivity was increased in the combined imaging score (99.8%, and the specificity was increased in the sub-stratified combined score (75.4%. In the sub-stratified combined imaging assessment, all BCS can be classified with higher scores (abnormality hierarchy, and luminal B subtype showed the most salient result (hierarchy: higher, 95%; lower, 5%.Combined and sub-stratified imaging assessments can increase sensitivity and specificity of breast cancer diagnosis, respectively, and Luminal B subtype shows the best identification by sub-stratified combined imaging scoring.

  11. Identification of lncRNA FAM83H-AS1 as a novel prognostic marker in luminal subtype breast cancer

    Directory of Open Access Journals (Sweden)

    Yang F

    2016-11-01

    Full Text Available Fan Yang, Shi-Xu Lv, Lin Lv, Ye-Huan Liu, Si-Yang Dong, Zhi-Han Yao, Xuan-xuan Dai, Xiao-Hua Zhang, Ou-Chen Wang Department of Surgical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China Background: Luminal subtype breast cancer accounts for a predominant number of breast cancers. Considering the heterogeneity of the disease, it is urgent to develop novel biomarkers to improve risk stratification and optimize therapy choices. Long non-coding RNA (lncRNA represents an emerging and understudied class of transcripts that play a significant role in cancer biology. Growing knowledge of cancer-associated lncRNAs contributes to the development of molecular markers for prognosis evaluation and gene therapy.Materials and methods: Three pairs of primary luminal subtype breast cancer tissues and adjacent non-cancerous tissues were collected and sequenced. EBseq algorithm was used to identify differentially expressed lncRNAs. RNA sequencing data from The Cancer Genome Atlas (TCGA database were used to validate the robustness of our RNA-seq results. Kaplan–Meier and Cox regression analyses were utilized to assess the association between the lncRNAs and overall survival of patients in TCGA cohort.Results: A total of 796 lncRNAs were significantly dysregulated in luminal subtype breast cancer, including 436 upregulated and 360 downregulated lncRNAs. Among them, FAM83H antisense RNA 1 (FAM83H-AS1 was the most upregulated lncRNA, whereas GSN antisense RNA 1 (GSN-AS1 was the most downregulated lncRNA. Moreover, we proved that the high expression level of FAM83H-AS1 indicated unfavorable prognosis not only in luminal subtype breast cancer but also in all subtype breast cancers. To the best of our knowledge, this is the first report indicating that FAM83H-AS1 was involved in luminal subtype breast cancer and was an independent prognostic indicator.Conclusion: Our study provides a rich resource

  12. Breast Cancer Mortality in African-American and Non-Hispanic White Women by Molecular Subtype and Stage at Diagnosis: A Population-Based Study.

    Science.gov (United States)

    Tao, Li; Gomez, Scarlett Lin; Keegan, Theresa H M; Kurian, Allison W; Clarke, Christina A

    2015-07-01

    Higher breast cancer mortality rates for African-American than non-Hispanic White women are well documented; however, it remains uncertain if this disparity occurs in disease subgroups defined by tumor molecular markers and stage at diagnosis. We examined racial differences in outcome according to subtype and stage in a diverse, population-based series of 103,498 patients. We obtained data for all invasive breast cancers diagnosed between January 1, 2005, and December 31, 2012, and followed through December 31, 2012, among 93,760 non-Hispanic White and 9,738 African-American women in California. Molecular subtypes were categorized according to tumor expression of hormone receptor (HR, based on estrogen and progesterone receptors) and human epidermal growth factor receptor 2 (HER2). Cox proportional hazards models were used to calculate relative hazard (RH) and 95% confidence intervals (CI) for breast cancer-specific mortality. After adjustment for patient, tumor, and treatment characteristics, outcomes were comparable by race for stage I or IV cancer regardless of subtype, and HR(+)/HER2(+) or HR(-)/HER2(+) cancer regardless of stage. We found substantially higher hazards of breast cancer death among African-American women with stage II/III HR(+)/HER2(-) (RH, 1.31; 95% CI, 1.03-1.65; and RH, 1.39; 95% CI, 1.10-1.75, respectively) and stage III triple-negative cancers relative to Whites. There are substantial racial/ethnic disparities among patients with stages II/III HR(+)/HER2(-) and stage III triple-negative breast cancers but not for other subtype and stage. These data provide insights to assess barriers to targeted treatment (e.g., trastuzumab or endocrine therapy) of particular subtypes of breast cancer among African-American patients. ©2015 American Association for Cancer Research.

  13. Subtypes of Benign Breast Disease as a Risk Factor for Breast Cancer: A Systematic Review and Meta-Analysis Protocol

    Directory of Open Access Journals (Sweden)

    Manoosh Zendehdel

    2018-01-01

    Full Text Available Breast cancer is a multifactorial disease. Benign breast disease (BBD is one of the most important risk factors for breast cancer. The etiology of BBD is unknown. It is divided into nonproliferative and proliferative diseases. The selection of studies will be based on titles, abstract screening, inclusion and exclusion criteria, and quality assessment. Previous studies have shown that all types of BBD increase the risk of breast cancer, but the risk degree is different for each one. Accurate risk estimation of breast cancer in each category can be very important for proper clinical management. This systematic review and meta-analysis will be conducted on observational studies (traditional case control, nested case control, case cohort, and cohort published in the Web of Science (ISI, PubMed (MEDLINE, Scopus, Google Scholar, and the key journals of this field such as Breast Cancer Research and Treatment and Cancer Research from January 2000 to June 2015. Reference lists and gray literature will be reviewed too. All the initial retrievals will be performed by 2 researchers independently. The data extraction form will consist of general information concerning the studies, study eligibility, method, risk of bias assessment, and results—including odds ratios, risk ratios, rate ratios, and hazard ratios. The PRISMA and MOOSE guidelines will be used to report our findings. Registration Details: PROSPERO-42016035243

  14. Subtypes of Benign Breast Disease as a Risk Factor for Breast Cancer: A Systematic Review and Meta-Analysis Protocol.

    Science.gov (United States)

    Zendehdel, Manoosh; Niakan, Babak; Keshtkar, Abbasali; Rafiei, Elahe; Salamat, Fatemeh

    2018-01-01

    Breast cancer is a multifactorial disease. Benign breast disease (BBD) is one of the most important risk factors for breast cancer. The etiology of BBD is unknown. It is divided into nonproliferative and proliferative diseases. The selection of studies will be based on titles, abstract screening, inclusion and exclusion criteria, and quality assessment. Previous studies have shown that all types of BBD increase the risk of breast cancer, but the risk degree is different for each one. Accurate risk estimation of breast cancer in each category can be very important for proper clinical management. This systematic review and meta-analysis will be conducted on observational studies (traditional case control, nested case control, case cohort, and cohort) published in the Web of Science (ISI), PubMed (MEDLINE), Scopus, Google Scholar, and the key journals of this field such as Breast Cancer Research and Treatment and Cancer Research from January 2000 to June 2015. Reference lists and gray literature will be reviewed too. All the initial retrievals will be performed by 2 researchers independently. The data extraction form will consist of general information concerning the studies, study eligibility, method, risk of bias assessment, and results-including odds ratios, risk ratios, rate ratios, and hazard ratios. The PRISMA and MOOSE guidelines will be used to report our findings. Registration Details: PROSPERO-42016035243.

  15. Magnetic resonance imaging in breast cancer treated with neoadjuvant chemotherapy: radiologic-pathologic correlation of the response and disease-free survival depending on molecular subtype.

    Science.gov (United States)

    Cruz Ciria, S; Jiménez Aragón, F; García Mur, C; Esteban Cuesta, H; Gros Bañeres, B

    2014-01-01

    To evaluate the radiologic and pathologic responses to neoadjuvant chemotherapy and their correlation in the molecular subtypes of breast cancer and to analyze their impact in disease-free survival. We included 205 patients with breast cancer treated with neoadjuvant chemotherapy. We evaluated the radiologic response by comparing MRI images acquired before and after chemotherapy. The pathologic response was classified on the Miller and Payne scale. For each subtype (HER2+, TN, luminal A, luminal B HER2-, and luminal B HER2+), we used the χ(2) test, Student's t-test, ANOVA, and Kendall's Tau-b to evaluate the radiologic response and the pathologic response, the radiologic-pathologic correlation, and the disease-free survival. The subtypes HER2+ (62.1%) and TN (45.2%) had higher rates of complete radiologic response. The pathologic response was 65.5% in the HER2+ subtype, 38.1% in the TN subtype, 2.6% in the luminal A subtype, 8.2% in the luminal B HER2- subtype, and 31% in the luminal B HER2+ subtype. The rate of radiologic-pathologic correlation was significant in all subtypes, higher in TN and HER2 (Tau-b coefficients 0.805 and 0.717, respectively). Disease-free survival was higher in HER2+ (91.9±3.3 months) and lower in TN (69.5±6.3 months), with significant differences between the cases with poor and good radiologic responses (P=.040). Survival was greater in cases with good radiologic response, except in cases with luminal A subtype. MRI can be a useful tool that provides information about the evolution of breast cancer treated with neoadjuvant chemotherapy, which varies with the immunohistochemical subtype. Copyright © 2012 SERAM. Published by Elsevier Espana. All rights reserved.

  16. Annexin A1 expression in a pooled breast cancer series : Association with tumor subtypes and prognosis

    NARCIS (Netherlands)

    Sobral-Leite, Marcelo; Wesseling, Jelle; Smit, Vincent T H B M; Nevanlinna, Heli; van Miltenburg, Martine H.; Sanders, Joyce; Hofland, Ingrid; Blows, Fiona M.; Coulson, Penny; Patrycja, Gazinska; Schellens, Jan H M; Fagerholm, Rainer; Heikkilä, Päivi; Aittomäki, Kristiina; Blomqvist, Carl; Provenzano, Elena; Ali, Hamid Raza; Figueroa, Jonine; Sherman, Mark; Lissowska, Jolanta; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli Matti; Hartikainen, Jaana M.; Phillips, Kelly Anne; Couch, Fergus J.; Olson, Janet E.; Vachon, Celine; Visscher, Daniel; Brenner, Hermann; Butterbach, Katja; Arndt, Volker; Holleczek, Bernd; Hooning, Maartje J.; Hollestelle, Antoinette; Martens, John W M; van Deurzen, Carolien H M; van de Water, Bob; Broeks, Annegien; Chang-Claude, Jenny; Chenevix-Trench, Georgia; Easton, Douglas F.; Pharoah, Paul D P; García-Closas, Montserrat; de Graauw, Marjo; Schmidt, Marjanka K.; Aghmesheh, Morteza; Amor, David; Andrews, Lesley; Antill, Yoland; Armitage, Shane; Arnold, Leanne; Balleine, Rosemary; Bankier, Agnes; Bastick, Patti; Beesley, Jonathan; Beilby, John; Bennett, Barbara; Bennett, Ian; Berry, Geoffrey; Blackburn, Anneke; Bogwitz, Michael; Brennan, Meagan; Brown, Melissa; Buckley, Michael; Burgess, Matthew; Burke, Jo; Butow, Phyllis; Byron, Keith; Callen, David; Campbell, Ian; Chauhan, Deepa; Chauhan, Manisha; Christian, Alice; Clarke, Christine; Colley, Alison; Cotton, Dick; Crook, Ashley; Cui, James; Culling, Bronwyn; Cummings, Margaret; Dawson, Sarah Jane; deFazio, Anna; Delatycki, Martin; Dickson, Rebecca; Dixon, Joanne; Dobrovic, Alexander; Dudding, Tracy; Edkins, Ted; Edwards, Stacey; Eisenbruch, Maurice; Farshid, Gelareh; Fawcett, Susan; Fellows, Andrew; Fenton, Georgina; Field, Michael; Firgaira, Frank; Flanagan, James; Fleming, Jean; Fong, Peter; Forbes, John; Fox, Stephen; French, Juliet; Friedlander, Michael; Gaff, Clara; Gardner, Mac; Gattas, Mike; George, Peter; Giles, Graham; Gill, Grantley; Goldblatt, Jack; Greening, Sian; Grist, Scott; Haan, Eric; Hardie, Kate; Harris, Marion; Hart, Stewart; Hayward, Nick; Healey, Sue; Heiniger, Louise; Hopper, John; Humphrey, Evelyn; Hunt, Clare; James, Paul; Jenkins, Mark; Jones, Alison; Kefford, Rick; Kidd, Alexa; Kiely, Belinda; Kirk, Judy; Koehler, Jessica; Kollias, James; Kovalenko, Serguei; Lakhani, Sunil; Leaming, Amanda; Leary, Jennifer; Lim, Jacqueline; Lindeman, Geoff; Lipton, Lara; Lobb, Liz; Mann, Graham; Marsh, Deborah; McLachlan, Sue Anne; Meiser, Bettina; Meldrum, Cliff; Milne, Roger; Mitchell, Gillian; Newman, Beth; Niedermayr, Eveline; Nightingale, Sophie; O'Connell, Shona; O'Loughlin, Imelda; Osborne, Richard; Pachter, Nick; Patterson, Briony; Peters, Lester; Phillips, Kelly; Price, Melanie; Purser, Lynne; Reeve, Tony; Reeve, Jeanne; Richards, Robert; Rickard, Edwina; Robinson, Bridget; Rudzki, Barney; Saleh, Mona; Salisbury, Elizabeth; Sambrook, Joe; Saunders, Christobel; Saunus, Jodi; Sayer, Robyn; Scott, Elizabeth; Scott, Rodney; Scott, Clare; Seshadri, Ram; Sexton, Adrienne; Sharma, Raghwa; Shelling, Andrew; Simpson, Peter; Southey, Melissa; Spurdle, Amanda; Suthers, Graeme; Sykes, Pamela; Tassell, Margaret; Taylor, Donna; Taylor, Jessica; Thierry, Benjamin; Thomas, Susan; Thompson, Ella; Thorne, Heather; Townshend, Sharron; Trainer, Alison; Tran, Lan; Tucker, Kathy; Tyler, Janet; Visvader, Jane; Walker, Logan; Walpole, Ian; Ward, Robin; Waring, Paul; Warner, Bev; Warren, Graham; Williams, Rachael; Wilson, Judy; Winship, Ingrid; Wu, Kathy; Young, Mary Ann; Bowtell, D.; Green, A.; Webb, P.; de Fazio, A.; Gertig, D.

    2015-01-01

    Background: Annexin A1 (ANXA1) is a protein related with the carcinogenesis process and metastasis formation in many tumors. However, little is known about the prognostic value of ANXA1 in breast cancer. The purpose of this study is to evaluate the association between ANXA1 expression, BRCA1/2

  17. Decreased BECN1 mRNA Expression in Human Breast Cancer is Associated With Estrogen Receptor-Negative Subtypes and Poor Prognosis

    Directory of Open Access Journals (Sweden)

    Hao Tang

    2015-03-01

    Full Text Available Both BRCA1 and Beclin 1 (BECN1 are tumor suppressor genes, which are in close proximity on the human chromosome 17q21 breast cancer tumor susceptibility locus and are often concurrently deleted. However, their importance in sporadic human breast cancer is not known. To interrogate the effects of BECN1 and BRCA1 in breast cancer, we studied their mRNA expression patterns in breast cancer patients from two large datasets: The Cancer Genome Atlas (TCGA (n = 1067 and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC (n = 1992. In both datasets, low expression of BECN1 was more common in HER2-enriched and basal-like (mostly triple-negative breast cancers compared to luminal A/B intrinsic tumor subtypes, and was also strongly associated with TP53 mutations and advanced tumor grade. In contrast, there was no significant association between low BRCA1 expression and HER2-enriched or basal-like subtypes, TP53 mutations or tumor grade. In addition, low expression of BECN1 (but not low BRCA1 was associated with poor prognosis, and BECN1 (but not BRCA1 expression was an independent predictor of survival. These findings suggest that decreased mRNA expression of the autophagy gene BECN1 may contribute to the pathogenesis and progression of HER2-enriched, basal-like, and TP53 mutant breast cancers.

  18. Heterogeneity of Breast Cancer Associations with Common Genetic Variants in FGFR2 according to the Intrinsic Subtypes in Southern Han Chinese Women

    Directory of Open Access Journals (Sweden)

    Huiying Liang

    2015-01-01

    Full Text Available GWAS have identified variation in the FGFR2 locus as risk factors for breast cancer. Validation studies, however, have shown inconsistent results by ethnics and pathological characteristics. To further explore this inconsistency and investigate the associations of FGFR2 variants with breast cancer according to intrinsic subtype (Luminal-A, Luminal-B, ER−&PR−&HER2+, and triple negative among Southern Han Chinese women, we genotyped rs1078806, rs1219648, rs2420946, rs2981579, and rs2981582 polymorphisms in 609 patients and 882 controls. Significant associations with breast cancer risk were observed for rs2420946, rs2981579, and rs2981582 with OR (95% CI per risk allele of 1.19 (1.03–1.39, 1.24 (1.07–1.43, and 1.17 (1.01–1.36, respectively. In subtype specific analysis, above three SNPs were significantly associated with increased Luminal-A risk in a dose-dependent manner Ptrend<0.01; however, only rs2981579 was associated with Luminal-B, and none were linked to ER−&PR− subtypes (ER−&PR−&HER2+ and triple negative. Haplotype analyses also identified common haplotypes significantly associated with luminal-like subtypes (Luminal-A and Luminal-B, but not with ER−&PR− subtypes. Our results suggest that associations of FGFR2 SNPs with breast cancer were heterogeneous according to intrinsic subtype. Future studies stratifying patients by their intrinsic subtypes will provide new insights into the complex genetic mechanisms underlying breast cancer.

  19. Microenvironment-Mediated Mechanisms of Resistance to HER2 Inhibitors Differ between HER2+ Breast Cancer Subtypes.

    Science.gov (United States)

    Watson, Spencer S; Dane, Mark; Chin, Koei; Tatarova, Zuzana; Liu, Moqing; Liby, Tiera; Thompson, Wallace; Smith, Rebecca; Nederlof, Michel; Bucher, Elmar; Kilburn, David; Whitman, Matthew; Sudar, Damir; Mills, Gordon B; Heiser, Laura M; Jonas, Oliver; Gray, Joe W; Korkola, James E

    2018-03-28

    Extrinsic signals are implicated in breast cancer resistance to HER2-targeted tyrosine kinase inhibitors (TKIs). To examine how microenvironmental signals influence resistance, we monitored TKI-treated breast cancer cell lines grown on microenvironment microarrays composed of printed extracellular matrix proteins supplemented with soluble proteins. We tested ∼2,500 combinations of 56 soluble and 46 matrix microenvironmental proteins on basal-like HER2+ (HER2E) or luminal-like HER2+ (L-HER2+) cells treated with the TKIs lapatinib or neratinib. In HER2E cells, hepatocyte growth factor, a ligand for MET, induced resistance that could be reversed with crizotinib, an inhibitor of MET. In L-HER2+ cells, neuregulin1-β1 (NRG1β), a ligand for HER3, induced resistance that could be reversed with pertuzumab, an inhibitor of HER2-HER3 heterodimerization. The subtype-specific responses were also observed in 3D cultures and murine xenografts. These results, along with bioinformatic pathway analysis and siRNA knockdown experiments, suggest different mechanisms of resistance specific to each HER2+ subtype: MET signaling for HER2E and HER2-HER3 heterodimerization for L-HER2+ cells. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

  20. Basal-subtype and MEK-Pl3K feedback signaling determine susceptibility of breast cancer cells to MEK inhibition

    Energy Technology Data Exchange (ETDEWEB)

    Mirzoeva, Olga K.; Das, Debopriya; Heiser, Laura M.; Bhattacharya, Sanchita; Siwak, Doris; Gendelman, Rina; Bayani, Nora; Wang, Nicholas J.; Neve, Richard M.; Knight, Zachary; Feiler, Heidi S.; Gascard, Philippe; Parvin, Bahram; Spellman, Paul T.; Shokat, Kevan M.; Wyrobek, Andrew J.; Bissell, Mina J.; McCormick, Frank; Kuo, Wen-Lin; Mills, Gordon B.; Gray, Joe W.; Korn, W. Michael

    2009-01-23

    Specific inhibitors of MEK have been developed that efficiently inhibit the oncogenic RAF-MEK-ERK pathway. We employed a systems-based approach to identify breast cancer subtypes particularly susceptible to MEK inhibitors and to understand molecular mechanisms conferring resistance to such compounds. Basal-type breast cancer cells were found to be particularly susceptible to growth-inhibition by small-molecule MEK inhibitors. Activation of the PI3 kinase pathway in response to MEK inhibition through a negative MEK-EGFR-PI3 kinase feedback loop was found to limit efficacy. Interruption of this feedback mechanism by targeting MEK and PI3 kinase produced synergistic effects, including induction of apoptosis and, in some cell lines, cell cycle arrest and protection from apoptosis induced by proapoptotic agents. These findings enhance our understanding of the interconnectivity of oncogenic signal transduction circuits and have implications for the design of future clinical trials of MEK inhibitors in breast cancer by guiding patient selection and suggesting rational combination therapies.

  1. Anti-proliferative and apoptosis-inducing activity of lycopene against three subtypes of human breast cancer cell lines

    Science.gov (United States)

    Takeshima, Mikako; Ono, Misaki; Higuchi, Takako; Chen, Chen; Hara, Takayuki; Nakano, Shuji

    2014-01-01

    Although lycopene, a major carotenoid component of tomatoes, has been suggested to attenuate the risk of breast cancer, the underlying preventive mechanism remains to be determined. Moreover, it is not known whether there are any differences in lycopene activity among different subtypes of human breast cancer cells. Using ER/PR positive MCF-7, HER2-positive SK-BR-3 and triple-negative MDA-MB-468 cell lines, we investigated the cellular and molecular mechanism of the anticancer activity of lycopene. Lycopene treatment for 168 consecutive hours exhibited a time-dependent and dose-dependent anti-proliferative activity against these cell lines by arresting the cell cycle at the G0/G1 phase at physiologically achievable concentrations found in human plasma. The greatest growth inhibition was observed in MDA-MB-468 where the sub-G0/G1 apoptotic population was significantly increased, with demonstrable cleavage of PARP. Lycopene induced strong and sustained activation of the ERK1/2, with concomitant cyclin D1 suppression and p21 upregulation in these three cell lines. In triple negative cells, lycopene inhibited the phosphorylation of Akt and its downstream molecule mTOR, followed by subsequent upregulation of proapoptotic Bax without affecting anti-apoptotic Bcl-xL. Taken together, these data indicate that the predominant anticancer activity of lycopene in MDA-MB-468 cells suggests a potential role of lycopene for the prevention of triple negative breast cancer. PMID:24397737

  2. Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2

    NARCIS (Netherlands)

    Mulligan, Anna Marie; Couch, Fergus J.; Barrowdale, Daniel; Domchek, Susan M.; Eccles, Diana; Nevanlinna, Heli; Ramus, Susan J.; Robson, Mark; Sherman, Mark; Spurdle, Amanda B.; Wappenschmidt, Barbara; Lee, Andrew; McGuffog, Lesley; Healey, Sue; Sinilnikova, Olga M.; Janavicius, Ramunas; Hansen, Thomas vO; Nielsen, Finn C.; Ejlertsen, Bent; Osorio, Ana; Muñoz-Repeto, Iván; Durán, Mercedes; Godino, Javier; Pertesi, Maroulio; Benítez, Javier; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Cattaneo, Elisa; Bonanni, Bernardo; Viel, Alessandra; Pasini, Barbara; Papi, Laura; Ottini, Laura; Savarese, Antonella; Bernard, Loris; Radice, Paolo; Hamann, Ute; Verheus, Martijn; Meijers-Heijboer, Hanne E. J.; Wijnen, Juul; Gómez García, Encarna B.; Nelen, Marcel R.; Kets, C. Marleen; Seynaeve, Caroline; Tilanus-Linthorst, Madeleine M. A.; van der Luijt, Rob B.; van Os, Theo; Rookus, Matti; Frost, Debra; Jones, J. Louise; Evans, D. Gareth; Lalloo, Fiona; Eeles, Ros; Izatt, Louise; Adlard, Julian; Davidson, Rosemarie; Cook, Jackie; Donaldson, Alan; Dorkins, Huw; Gregory, Helen; Eason, Jacqueline; Houghton, Catherine; Barwell, Julian; Side, Lucy E.; McCann, Emma; Murray, Alex; Peock, Susan; Godwin, Andrew K.; Schmutzler, Rita K.; Rhiem, Kerstin; Engel, Christoph; Meindl, Alfons; Ruehl, Ina; Arnold, Norbert; Niederacher, Dieter; Sutter, Christian; Deissler, Helmut; Gadzicki, Dorothea; Kast, Karin; Preisler-Adams, Sabine; Varon-Mateeva, Raymonda; Schoenbuchner, Ines; Fiebig, Britta; Heinritz, Wolfram; Schäfer, Dieter; Gevensleben, Heidrun; Caux-Moncoutier, Virginie; Fassy-Colcombet, Marion; Cornelis, François; Mazoyer, Sylvie; Léoné, Mélanie; Boutry-Kryza, Nadia; Hardouin, Agnès; Berthet, Pascaline; Muller, Danièle; Fricker, Jean-Pierre; Mortemousque, Isabelle; Pujol, Pascal; Coupier, Isabelle; Lebrun, Marine; Kientz, Caroline; Longy, Michel; Sevenet, Nicolas; Stoppa-Lyonnet, Dominique; Isaacs, Claudine; Caldes, Trinidad; de la Hoya, Miguel; Heikkinen, Tuomas; Aittomäki, Kristiina; Blanco, Ignacio; Lazaro, Conxi; Barkardottir, Rosa B.; Soucy, Penny; Dumont, Martine; Simard, Jacques; Montagna, Marco; Tognazzo, Silvia; D'Andrea, Emma; Fox, Stephen; Yan, Max; Rebbeck, Tim; Olopade, Olufunmilayo; Weitzel, Jeffrey N.; Lynch, Henry T.; Ganz, Patricia A.; Tomlinson, Gail E.; Wang, Xianshu; Fredericksen, Zachary; Pankratz, Vernon S.; Lindor, Noralane M.; Szabo, Csilla; Offit, Kenneth; Sakr, Rita; Gaudet, Mia; Bhatia, Jasmine; Kauff, Noah; Singer, Christian F.; tea, Muy-Kheng; Gschwantler-Kaulich, Daphne; Fink-Retter, Anneliese; Mai, Phuong L.; Greene, Mark H.; Imyanitov, Evgeny; O'Malley, Frances P.; Ozcelik, Hilmi; Glendon, Gordon; Toland, Amanda E.; Gerdes, Anne-Marie; Thomassen, Mads; Kruse, Torben A.; Jensen, Uffe Birk; Skytte, Anne-Bine; Caligo, Maria A.; Soller, Maria; Henriksson, Karin; Wachenfeldt, von Anna; Arver, Brita; Stenmark-Askmalm, Marie; Karlsson, Per; Ding, Yuan Chun; Neuhausen, Susan L.; Beattie, Mary; Pharoah, Paul D. P.; Moysich, Kirsten B.; Nathanson, Katherine L.; Karlan, Beth Y.; Gross, Jenny; John, Esther M.; Daly, Mary B.; Buys, Saundra M.; Southey, Melissa C.; Hopper, John L.; Terry, Mary Beth; Chung, Wendy; Miron, Alexander F.; Goldgar, David; Chenevix-Trench, Georgia; Easton, Douglas F.; Andrulis, Irene L.; Antoniou, Antonis C.; Ellis, Steve; Fineberg, Elena; Platte, Radka; Miedzybrodzka, Zosia; Morrison, Patrick; Jeffers, Lisa; Cole, Trevor; Ong, Kai-Ren; Hoffman, Jonathan; James, Margaret; Paterson, Joan; Downing, Sarah; Taylor, Amy; Rogers, T.; Kennedy, John M.; Barton, David; Porteous, Mary; Drummond, Sarah; Brewer, Carole; Kivuva, Emma; Searle, Anne; Goodman, Selina; Hill, Kathryn; Murday, Victoria; Bradshaw, Nicola; Snadden, Lesley; Longmuir, Mark; Watt, Catherine; Gibson, Sarah; Haque, Eshika; Tobias, Ed; Duncan, Alexis; Jacobs, Chris; Langman, Caroline; Whaite, Anna; Chu, Carol; Miller, Julie; Ellis, Ian; Taylor, Jane; Male, Alison; Berlin, Cheryl; Collier, Rebecca; Douglas, Fiona; Claber, Oonagh; Jobson, Irene; Walker, Lisa; McLeod, Diane; Halliday, Dorothy; Durell, Sarah; Stayner, Barbara; Shanley, Susan; Rahman, Nazneen; Houlston, Richard; Bancroft, Elizabeth; D'Mello, Lucia; Page, Elizabeth; Ardern-Jones, Audrey; Kohut, Kelly; Wiggins, Jennifer; Castro, Elena; Mitra, Anita; Robertson, Lisa; Quarrell, Oliver; Bardsley, Cathryn; Hodgson, Shirley; Goff, Sheila; Brice, Glen; Winchester, Lizzie; Eddy, Charlotte; Tripathi, Vishakha; Attard, Virginia; Lucassen, Anneke; Crawford, Gillian; McBride, Donna; Smalley, Sarah; Barjhoux, Laure; Verny-Pierre, Carole; Giraud, Sophie; Gauthier-Villars, Marion; Buecher, Bruno; Houdayer, Claude; Belotti, Muriel; Tirapo, Carole; de Pauw, Antoine; Roussy, Gustave; Bressac-de-Paillerets, Brigitte; Remenieras, Audrey; Byrde, Véronique; Caron, Olivier; Lenoir, Gilbert; Bignon, Yves-Jean; Uhrhammer, Nancy; Bérard, Léon; Lasset, Christine; Bonadona, Valérie; Baclesse, François; Sobol, Hagay; Bourdon, Violaine; Noguchi, Tetsuro; Eisinger, François; Coulet, Florence; Colas, Chrystelle; Soubrier, Florent; Peyrat, Jean-Philippe; Fournier, Joëlle; Révillion, Françoise; Vennin, Philippe; Adenis, Claude; Rouleau, Etienne; Lidereau, Rosette; Demange, Liliane; Nogues, Catherine; Barouk-Simonet, Emmanuelle; Bonnet, Françoise; Bubien, Virginie; Toulas, Christine; Guimbaud, Rosine; Gladieff, Laurence; Feillel, Viviane; Leroux, Dominique; Dreyfus, Hélène; Rebischung, Christine; Peysselon, Magalie; Coron, Fanny; Faivre, Laurence; Prieur, Fabienne; Ferrer, Sandra Fert; Lacassagne, Antoine; Frénay, Marc; Vénat-Bouvet, Laurence; Delnatte, Capucine; Snyder, Carrie L.; Hogervorst, F. B. L.; Verhoef, S.; Verheus, M.; van 't Veer, L. J.; van Leeuwen, F. E.; Collée, M.; van den Ouweland, A. M. W.; Jager, A.; Hooning, M. J.; van Asperen, C. J.; Wijnen, J. T.; Vreeswijk, M. P.; Tollenaar, R. A.; Devilee, P.; Ligtenberg, M. J.; Hoogerbrugge, N.; Ausems, M. G.; Aalfs, C. M.; Gille, J. J. P.; Waisfisz, Q.; Gomez-Garcia, E. B.; van Roozendaal, C. E.; Blok, Marinus J.; Caanen, B.; Oosterwijk, J. C.; van der Hout, A. H.; Mourits, M. J.; Vasen, H. F.; Nordling, Margareta; Bergman, Annika; Einbeigi, Zakaria; Liedgren, Sigrun; Borg, Åke; Loman, Niklas; Olsson, Håkan; Kristoffersson, Ulf; Jernström, Helena; Harbst, Katja; Lindblom, Annika; Liljegren, Annelie; Barbany-Bustinza, Gisela; Rantala, Johanna; Melin, Beatrice; Grönberg, Henrik; Stattin, Eva-Lena; Emanuelsson, Monica; Ehrencrona, Hans; Rosenquist, Richard; Dahl, Niklas

    2011-01-01

    Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently unknown how these alleles are associated with different breast cancer subtypes in BRCA1 and BRCA2

  3. Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2

    NARCIS (Netherlands)

    A.M. Mulligan (Anna Marie); F.J. Couch (Fergus); D. Barrowdale (Daniel); S.M. Domchek (Susan); D. Eccles (Diana); H. Nevanlinna (Heli); S.J. Ramus (Susan); M. Robson (Mark); M.E. Sherman (Mark); A.B. Spurdle (Amanda); B. Wapenschmidt (Barbara); A. Lee (Andrew); L. McGuffog (Lesley); S. Healey (Sue); O. Sinilnikova (Olga); R. Janavicius (Ramunas); T.V.O. Hansen (Thomas); F.C. Nielsen (Finn); B. Ejlertsen (Bent); A. Osorio (Ana); I. Muñoz-Repeto (Iván); M. Durán (Mercedes); J. Godino (Javier); M. Pertesi (Maroulio); J. Benítez (Javier); P. Peterlongo (Paolo); S. Manoukian (Siranoush); B. Peissel (Bernard); D. Zaffaroni (D.); E. Cattaneo (Elisa); B. Bonnani (Bernardo); A. Viel (Alessandra); B. Pasini (Barbara); L. Papi (Laura); L. Ottini (Laura); A. Savarese (Antonella); L. Bernard (Loris); P. Radice (Paolo); U. Hamann (Ute); M. Verheus (Martijn); E.J. Meijers-Heijboer (Hanne); J.T. Wijnen (Juul); E.B. Gómez García (Encarna); M.R. Nelen (Marcel); C.M. Kets; C.M. Seynaeve (Caroline); M.M.A. Tilanus-Linthorst (Madeleine); R.B. van der Luijt (Rob); T.V. Os (Theo); M.A. Rookus (Matti); D. Frost (Debra); J.L. Jones (J Louise); D.G. Evans (Gareth); F. Lalloo (Fiona); R. Eeles (Rosalind); L. Izatt (Louise); J.W. Adlard (Julian); R. Davidson (Rosemarie); J. Cook (Jackie); A. Donaldson (Alan); H. Dorkins (Huw); H. Gregory (Helen); J. Eason (Jacqueline); C. Houghton (Catherine); J. Barwell (Julian); L. Side (Lucy); E. McCann (Emma); A. Murray (Alexandra); S. Peock (Susan); A.K. Godwin (Andrew); R.K. Schmutzler (Rita); K. Rhiem (Kerstin); C.W. Engel (Christoph); A. Meindl (Alfons); I. Ruehl (Ina); N. Arnold (Norbert); D. Niederacher (Dieter); C. Sutter (Christian); H. Deissler (Helmut); D. Gadzicki (Dorothea); K. Kast (Karin); S. Preisler-Adams (Sabine); R. Varon-Mateeva (Raymonda); I. Schoenbuchner (Ines); B. Fiebig (Britta); W. Heinritz (Wolfram); D. Schäfer (Dieter); H. Gevensleben (Heidrun); V. Caux-Moncoutier (Virginie); M. Fassy-Colcombet (Marion); F. Cornelis (Franco̧is); S. Mazoyer (Sylvie); M. Léone (Mélanie); N. Boutry-Kryza (N.); A. Hardouin (Agnès); P. Berthet (Pascaline); D.W. Muller (Danièle); J.P. Fricker (Jean Pierre); I. Mortemousque (Isabelle); P. Pujol (Pascal); I. Coupier (Isabelle); M. Lebrun (Marine); C. Kientz (Caroline); M. Longy (Michel); N. Sevenet (Nicolas); D. Stoppa-Lyonnet (Dominique); C. Isaacs (Claudine); T. Caldes (Trinidad); M. de La Hoya (Miguel); T. Heikinen (Tuomas); K. Aittomäki (Kristiina); I. Blanco (Ignacio); C. Lazaro (Conxi); R.B. Barkardottir (Rosa); P. Soucy (Penny); M. Dumont (Martine); J. Simard (Jacques); M. Montagna (Marco); S. Tognazzo (Silvia); E. D'Andrea (Emma); S.B. Fox (Stephen); M. Yan (Max); R. Rebbeck (Timothy); O.I. Olopade (Olofunmilayo); J.N. Weitzel (Jeffrey); H. Lynch (Henry); P.A. Ganz (Patricia); G. Tomlinson (Gail); X. Wang (Xing); Z. Fredericksen (Zachary); V.S. Pankratz (Shane); N.M. Lindor (Noralane); C. Szabo (Csilla); K. Offit (Kenneth); R. Sakr (Rita); M.M. Gaudet (Mia); K.P. Bhatia (Kailash); N. Kauff (Noah); C.F. Singer (Christian); M.-K. Tea; D. Gschwantler-Kaulich (Daphne); A. Fink-Retter (Anneliese); P.L. Mai (Phuong); M.H. Greene (Mark); E.N. Imyanitov (Evgeny); F.P. O'Malley (Frances); H. Ozcelik (Hilmi); G. Glendon (Gord); A.E. Toland (Amanda); A-M. Gerdes (Anne-Marie); M. Thomassen (Mads); T.A. Kruse (Torben); U.B. Jensen; A.-B. Skytte (Anne-Bine); M.A. Caligo (Maria); M. Soller (Maria); K. Henriksson (Karin); A. von Wachenfeldt (Anna); B. Arver (Brita Wasteson); M. Stenmark-Askmalm (M.); P. Karlsson (Per); Y.C. Ding (Yuan); S.L. Neuhausen (Susan); M.S. Beattie (Mary); P.D.P. Pharoah (Paul); K.B. Moysich (Kirsten); K.L. Nathanson (Katherine); B.Y. Karlan (Beth); J. Gross (Jenny); E.M. John (Esther); M.B. Daly (Mary); S.S. Buys (Saundra); M.C. Southey (Melissa); J.L. Hopper (John); M.-B. Terry (Mary-Beth); W. Chung (Wendy); A. Miron (Alexander); D. Goldgar (David); G. Chenevix-Trench (Georgia); D.F. Easton (Douglas); I.L. Andrulis (Irene); A.C. Antoniou (Antonis)

    2011-01-01

    textabstractIntroduction: Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently unknown how these alleles are associated with different breast cancer subtypes

  4. Macrophage phenotypic subtypes diametrically regulate epithelial-mesenchymal plasticity in breast cancer cells

    International Nuclear Information System (INIS)

    Yang, Min; Ma, Bo; Shao, Hanshuang; Clark, Amanda M.; Wells, Alan

    2016-01-01

    Metastatic progression of breast cancer involves phenotypic plasticity of the carcinoma cells moving between epithelial and mesenchymal behaviors. During metastatic seeding and dormancy, even highly aggressive carcinoma cells take on an E-cadherin-positive epithelial phenotype that is absent from the emergent, lethal metastatic outgrowths. These phenotypes are linked to the metastatic microenvironment, though the specific cells and induction signals are still to be deciphered. Recent evidence suggests that macrophages impact tumor progression, and may alter the balance between cancer cell EMT and MErT in the metastatic microenvironment. Here we explore the role of M1/M2 macrophages in epithelial-mesenchymal plasticity of breast cancer cells by coculturing epithelial and mesenchymal cells lines with macrophages. We found that after polarizing the THP-1 human monocyte cell line, the M1 and M2-types were stable and maintained when co-cultured with breast cancer cells. Surprisingly, M2 macrophages may conferred a growth advantage to the epithelial MCF-7 cells, with these cells being driven to a partial mesenchymal phenotypic as indicated by spindle morphology. Notably, E-cadherin protein expression is significantly decreased in MCF-7 cells co-cultured with M2 macrophages. M0 and M1 macrophages had no effect on the MCF-7 epithelial phenotype. However, the M1 macrophages impacted the highly aggressive mesenchymal-like MDA-MB-231 breast cancer cells to take on a quiescent, epithelial phenotype with re-expression of E-cadherin. The M2 macrophages if anything exacerbated the mesenchymal phenotype of the MDA-MB-231 cells. Our findings demonstrate M2 macrophages might impart outgrowth and M1 macrophages may contribute to dormancy behaviors in metastatic breast cancer cells. Thus EMT and MErT are regulated by selected macrophage phenotype in the liver metastatic microenvironment. These results indicate macrophage could be a potential therapeutic target for limiting death due

  5. Prospective, multicenter French study evaluating the clinical impact of the Breast Cancer Intrinsic Subtype-Prosigna® Test in the management of early-stage breast cancers.

    Science.gov (United States)

    Hequet, Delphine; Callens, Céline; Gentien, David; Albaud, Benoit; Mouret-Reynier, Marie-Ange; Dubot, Coraline; Cottu, Paul; Huchon, Cyrille; Zilberman, Sonia; Berseneff, Helene; Foa, Cyril; Salmon, Rémy; Roulot, Aurélie; Lerebours, Florence; Salomon, Anne; Ghali, Nadeem; Morel, Pascale; Li, Qianyi; Cayre, Anne; Guinebretière, Jean-Marc; Hornberger, John; Penault-Llorca, Frédérique; Rouzier, Roman

    2017-01-01

    The Prosigna® breast cancer prognostic gene signature assay identifies a gene-expression profile that permits the classification of tumors into subtypes and gives a score for the risk of recurrence (ROR) at 10 years. The primary objective of this multicenter study was to evaluate the impact of Prosigna's assay information on physicians' adjuvant treatment decisions in patients with early-stage breast cancer. Secondary objectives were to assess confidence of practitioners in their therapeutic recommendations before and after the added information provided by the Prosigna assay; and to evaluate the emotional state of patients before and after the Prosigna test results. Consecutive patients with invasive early-stage breast cancer were enrolled in a prospective, observational, multicenter study carried out in 8 hospitals in France. The Prosigna test was carried out on surgical specimens using the nCounter® Analysis System located at the Institut Curie. Both before and after receiving the Prosigna test results, physicians completed treatment confidence questionnaires and patients completed questionnaires concerning their state of anxiety, the difficulties felt in face of the therapy and quality of life. Information was also collected at 6 months regarding the physicians' opinion on the test results and the patients' degree of anxiety, difficulties with therapy and quality of life. Between March 2015 and January 2016, 8 study centers in France consecutively enrolled 210 postmenopausal women with estrogen receptor (ER) positive, human epidermal growth hormone-2 (HER-2) negative, and node negative tumors, either stage 1 or stage 2. Intrinsic tumor subtypes as assessed by the Prosigna test were 114 (58.2%) Luminal A, 79 (40.3%) Luminal B, 1 (0.5%) HER-2 enriched (HER-2E), and 2 (1.0%) basal-like. Before receiving the Prosigna test results, physicians categorized tumor subtypes based on immunohistochemistry (IHC) as Luminal A in 126 (64%) patients and Luminal B in 70 (36

  6. Prospective, multicenter French study evaluating the clinical impact of the Breast Cancer Intrinsic Subtype-Prosigna® Test in the management of early-stage breast cancers.

    Directory of Open Access Journals (Sweden)

    Delphine Hequet

    Full Text Available The Prosigna® breast cancer prognostic gene signature assay identifies a gene-expression profile that permits the classification of tumors into subtypes and gives a score for the risk of recurrence (ROR at 10 years. The primary objective of this multicenter study was to evaluate the impact of Prosigna's assay information on physicians' adjuvant treatment decisions in patients with early-stage breast cancer. Secondary objectives were to assess confidence of practitioners in their therapeutic recommendations before and after the added information provided by the Prosigna assay; and to evaluate the emotional state of patients before and after the Prosigna test results.Consecutive patients with invasive early-stage breast cancer were enrolled in a prospective, observational, multicenter study carried out in 8 hospitals in France. The Prosigna test was carried out on surgical specimens using the nCounter® Analysis System located at the Institut Curie. Both before and after receiving the Prosigna test results, physicians completed treatment confidence questionnaires and patients completed questionnaires concerning their state of anxiety, the difficulties felt in face of the therapy and quality of life. Information was also collected at 6 months regarding the physicians' opinion on the test results and the patients' degree of anxiety, difficulties with therapy and quality of life.Between March 2015 and January 2016, 8 study centers in France consecutively enrolled 210 postmenopausal women with estrogen receptor (ER positive, human epidermal growth hormone-2 (HER-2 negative, and node negative tumors, either stage 1 or stage 2. Intrinsic tumor subtypes as assessed by the Prosigna test were 114 (58.2% Luminal A, 79 (40.3% Luminal B, 1 (0.5% HER-2 enriched (HER-2E, and 2 (1.0% basal-like. Before receiving the Prosigna test results, physicians categorized tumor subtypes based on immunohistochemistry (IHC as Luminal A in 126 (64% patients and Luminal B in

  7. Relationship between functional imaging and immunohistochemical markers and prediction of breast cancer subtype: a PET/MRI study.

    Science.gov (United States)

    Incoronato, Mariarosaria; Grimaldi, Anna Maria; Cavaliere, Carlo; Inglese, Marianna; Mirabelli, Peppino; Monti, Serena; Ferbo, Umberto; Nicolai, Emanuele; Soricelli, Andrea; Catalano, Onofrio Antonio; Aiello, Marco; Salvatore, Marco

    2018-04-25

    The aim of this study was to determine if functional parameters extracted from the hybrid positron emission tomography/magnetic resonance imaging (PET/MRI) correlate with the immunohistochemical markers of breast cancer (BC) lesions, to assess their ability to predict BC subtype. This prospective study was approved by the institution's Ethics Committee, and all patients provided written informed consent. A total of 50 BC patients at diagnosis underwent PET/MRI before pharmacological and surgical treatment. For each primary lesion, the following data were extracted: morphological data including tumour-node-metastasis stage and lesion size; apparent diffusion coefficient (ADC); perfusion data including forward volume transfer constant (Ktrans), reverse efflux volume transfer constant (Kep) and extravascular extracellular space volume (Ve); and metabolic data including standardized uptake value (SUV), lean body mass (SUL), metabolic tumour volume and total lesion glycolysis. Immunohistochemical reports were used to determine receptor status (oestrogen, progesterone, and human epidermal growth factor receptor 2), cellular differentiation status (grade), and proliferation index (Ki67) of the tumour lesions. Correlation studies (Mann-Whitney U test and Spearman's test), receiver operating characteristic (ROC) curve analysis, and multivariate analysis were performed. Association studies were performed to assess the correlations between imaging and histological prognostic markers of BC. Imaging biomarkers, which significantly correlated with biological markers, were selected to perform ROC curve analysis to determine their ability to discriminate among BC subtypes. SUV max , SUV mean and SUL were able to discriminate between luminal A and luminal B subtypes (AUC SUVmean  = 0.799; AUC SUVmax  = 0.833; AUC SUL  = 0.813) and between luminal A and nonluminal subtypes (AUC SUVmean  = 0.926; AUC SUVmax  = 0.917; AUC SUL  = 0.945), and the lowest SUV and

  8. Intrinsic subtypes from PAM50 gene expression assay in a population-based breast cancer cohort: differences by age, race, and tumor characteristics.

    Science.gov (United States)

    Sweeney, Carol; Bernard, Philip S; Factor, Rachel E; Kwan, Marilyn L; Habel, Laurel A; Quesenberry, Charles P; Shakespear, Kaylynn; Weltzien, Erin K; Stijleman, Inge J; Davis, Carole A; Ebbert, Mark T W; Castillo, Adrienne; Kushi, Lawrence H; Caan, Bette J

    2014-05-01

    Data are lacking to describe gene expression-based breast cancer intrinsic subtype patterns for population-based patient groups. We studied a diverse cohort of women with breast cancer from the Life After Cancer Epidemiology and Pathways studies. RNA was extracted from 1 mm punches from fixed tumor tissue. Quantitative reverse-transcriptase PCR was conducted for the 50 genes that comprise the PAM50 intrinsic subtype classifier. In a subcohort of 1,319 women, the overall subtype distribution based on PAM50 was 53.1% luminal A, 20.5% luminal B, 13.0% HER2-enriched, 9.8% basal-like, and 3.6% normal-like. Among low-risk endocrine-positive tumors (i.e., estrogen and progesterone receptor positive by immunohistochemistry, HER2 negative, and low histologic grade), only 76.5% were categorized as luminal A by PAM50. Continuous-scale luminal A, luminal B, HER2-enriched, and normal-like scores from PAM50 were mutually positively correlated. Basal-like score was inversely correlated with other subtypes. The proportion with non-luminal A subtype decreased with older age at diagnosis, P Trend < 0.0001. Compared with non-Hispanic Whites, African American women were more likely to have basal-like tumors, age-adjusted OR = 4.4 [95% confidence intervals (CI), 2.3-8.4], whereas Asian and Pacific Islander women had reduced odds of basal-like subtype, OR = 0.5 (95% CI, 0.3-0.9). Our data indicate that over 50% of breast cancers treated in the community have luminal A subtype. Gene expression-based classification shifted some tumors categorized as low risk by surrogate clinicopathologic criteria to higher-risk subtypes. Subtyping in a population-based cohort revealed distinct profiles by age and race. ©2014 AACR.

  9. The Prognostic Value of the 8th Edition of the American Joint Committee on Cancer (AJCC) Staging System in HER2-Enriched Subtype Breast Cancer, a Retrospective Analysis.

    Science.gov (United States)

    Zhou, Bin; Xu, Ling; Ye, Jingming; Xin, Ling; Duan, Xuening; Liu, Yinhua

    2017-08-01

    The American Joint Committee on Cancer (AJCC) released its 8th edition of tumor staging which is to be implemented in early 2018. The present study aimed to analyze the prognostic value of AJCC 8th edition Cancer Staging System in HER2-enriched breast cancer, on a retrospective cohort. This study was a retrospective single-center study of HER2-enriched breast cancer cases diagnosed from January 2008 to December 2014. Clinicopathological features and follow up data including disease-free survival (DFS) and overall survival (OS) were analyzed to explore prognostic factors for disease outcome. We restaged patients based on the 8th edition of the AJCC cancer staging system and analyzed prognostic value of the Anatomic Stage Group and the Prognostic Stage Group. The study enrolled 170 HER2-enriched subtype breast cancer patients with 5-year disease free survival (DFS) of 85.1% and 5-year overall survival (OS) of 86.8%. Prognostic stages of 117 cases (68.8%) changed compared with anatomic stages, with 116 upstaged cases and 1 downstaged case. The Anatomic Stage Groups had a significant prognostic impact on DFS (χ 2 =16.752, panalysis, both stage groups were independent predictors of OS. Both Anatomic and Prognostic Stage Groups in the 8th edition of the AJCC breast cancer staging system had prognostic value in HER2-enriched subtype breast cancer. The Prognostic Stage system was a breakthrough on the basis of anatomic staging system. Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

  10. [Prevalence of breast cancer sub-types by immunohistochemistry in patients in the Regional General Hospital 72, Instituto Mexicano del Seguro Social].

    Science.gov (United States)

    Pérez-Rodríguez, Gabriel

    2015-01-01

    Breast cancer mortality has increased in women 25 years and over, and since 2006 it has surpassed cervical cancer. Breast cancer is a heterogeneous disease, with several clinical and histological presentations that require a thorough study of all clinical and pathological parameters, including immunohistochemistry to classify it into subtypes, have a better prognosis, provide individualised treatment, increase survival, and reduce mortality. To evaluate the prevalence of sub-types of breast cancer and the association with the clinical and histopathological features of the tumour. An observational, retrospective, cross-sectional and analytical study conducted on 1380 patients with a diagnosis of breast cancer have been classified by immunohistochemistry into four subtypes: luminal A, triple negative, luminal B and HER2. An analysis was performed on the association with age, risk factors, and the clinical and histopathological features of the tumour. The mean age of the patients was 53.3 ± 11.4. The frequency was luminal A (65%), triple negative (14%), luminal B (12%), and HER2 (9%). The most frequent characteristics were the 50 to 59 age range, late menopause, the right side, upper external quadrant, stage II, metastatic lymph nodes, and mastectomy. The most frequent sub-type was luminal A, and together with the luminal B are those which have better prognosis compared with the triple negative and HER2. Copyright © 2015 Academia Mexicana de Cirugía A.C. Published by Masson Doyma México S.A. All rights reserved.

  11. Prognosis of early breast cancer by immunohistochemistry defined intrinsic sub-types in patients treated with adjuvant chemotherapy in the NEAT/BR9601 trial.

    Science.gov (United States)

    Ali, Alaa M; Provenzano, Elena; Bartlett, John M S; Abraham, Jean; Driver, Kristy; Munro, Alison F; Twelves, Christopher; Poole, Christopher J; Hiller, Louise; Dunn, Janet A; Earl, Helena M; Caldas, Carlos; Pharoah, Paul D

    2013-09-15

    Breast cancer can be classified into molecular sub-types that have distinct survival patterns. We evaluated the prognostic significance of breast cancer sub-types in a cohort of women taking part in the NEAT and BR9601 clinical trials comparing cyclophosphamide, methotrexate and fluorouracil (CMF) with ECMF (epirubicin and CMF). Furthermore, we evaluated whether the sub-types were predictive of the added benefit of epirubicin in these trials. Tumour tissue microarrays were stained and scored for ER, PR, HER2, EGFR and CK5/6. These were used to classify the tumours into six intrinsic sub-types. We used Cox regression to compare overall survival (OS), breast cancer-specific survival (BCSS) and relapse-free survival (RFS) in the different sub-groups. We also compared the effect of ECMF with CMF by sub-group. Immunohistochemistry data were available for 1,725 cases of whom 805 were luminal 1-basal negative. Median follow-up time was 7 years. The luminal 1-basal negative tumours were associated with the best prognosis in five years after surgery and the HER2-like tumours were associated with the poorest prognosis. There was little evidence for significant heterogeneity of this effect by tumour sub-type (OS p = 0.40, BCSS p = 0.53 RFS p = 0.50) - the largest additional benefit of epirubicin was in women with tumours of the 5-negative phenotype (OS HR = 0.39 95% CI: 0.21-0.73) and the smallest was in Luminal 1-basal negative tumours (OS HR = 0.86 95% CI: 0.64-1.16). We confirmed that breast cancer sub-types show distinct behaviour with differences in short- and long-term survival. The benefit of ECMF over CMF was statistically similar in all disease sub-types. Copyright © 2013 UICC.

  12. Appearance of untreated bone metastases from breast cancer on FDG PET/CT: importance of histologic subtype

    Energy Technology Data Exchange (ETDEWEB)

    Dashevsky, Brittany Z.; Parsons, Molly [Weill Cornell Medical College, Department of Radiology, New York, NY (United States); Goldman, Debra A.; Goenen, Mithat [Memorial Sloan-Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, NY (United States); Corben, Adriana D. [Memorial Sloan-Kettering Cancer Center, Department of Pathology, New York, NY (United States); Jochelson, Maxine S.; Ulaner, Gary A. [Weill Cornell Medical College, Department of Radiology, New York, NY (United States); Memorial Sloan-Kettering Cancer Center, Department of Radiology, New York, NY (United States); Hudis, Clifford A. [Memorial Sloan-Kettering Cancer Center, Department of Medicine, New York, NY (United States); Morrow, Monica [Memorial Sloan-Kettering Cancer Center, Department of Surgery, New York, NY (United States)

    2015-10-15

    To determine if the histology of a breast malignancy influences the appearance of untreated osseous metastases on FDG PET/CT. This retrospective study was performed under IRB waiver. Our Hospital Information System was screened for breast cancer patients who presented with osseous metastases, who underwent FDG PET/CT prior to systemic therapy or radiotherapy from 2009 to 2012. Patients with invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC), or mixed ductal/lobular (MDL) histology were included. Patients with a history of other malignancies were excluded. PET/CT was evaluated, blinded to histology, to classify osseous metastases on a per-patient basis as sclerotic, lytic, mixed lytic/sclerotic, or occult on CT, and to record SUVmax for osseous metastases on PET. Following screening, 95 patients who met the inclusion criteria (74 IDC, 13 ILC, and 8 MDL) were included. ILC osseous metastases were more commonly sclerotic and demonstrated lower SUVmax than IDC metastases. In all IDC and MDL patients with osseous metastases, at least one was FDG-avid. For ILC, all patients with lytic or mixed osseous metastases demonstrated at least one FDG-avid metastasis; however, in only three of seven patients were sclerotic osseous metastases apparent on FDG PET. The histologic subtype of breast cancer affects the appearance of untreated osseous metastases on FDG PET/CT. In particular, non-FDG-avid sclerotic osseous metastases were more common in patients with ILC than in patients with IDC. Breast cancer histology should be considered when interpreting non-FDG-avid sclerotic osseous lesions on PET/CT, which may be more suspicious for metastases (rather than benign lesions) in patients with ILC. (orig.)

  13. Baseline blood immunological profiling differentiates between Her2-breast cancer molecular subtypes: implications for immunomediated mechanisms of treatment response.

    Science.gov (United States)

    Tudoran, Oana; Virtic, Oana; Balacescu, Loredana; Lisencu, Carmen; Fetica, Bogdan; Gherman, Claudia; Balacescu, Ovidiu; Berindan-Neagoe, Ioana

    2015-01-01

    Breast cancer patients' response to treatment is highly dependent on the primary tumor molecular features, with triple-negative breast tumors having the worst prognosis of all subtypes. According to the molecular features, tumors stimulate the microenvironment to induce distinct immune responses, baseline immune activation being associated with higher likelihood of pathologic response. In this study, we investigated the deconvolution of the immunological status of triple-negative tumors in comparison with luminal tumors and the association with patients' clinicopathological characteristics. Gene expression of 84 inflammatory molecules and their receptors were analyzed in 40 peripheral blood samples from patients with Her2- primary breast cancer tumors. We studied the association of triple-negative phenotype with age, clinical stage, tumor size, lymph nodes, and menopausal status. We observed that more patients with estrogen (ER)/progesterone (PR)-negative tumors had grade III, while more patients with ER/PR-positive tumors had grade II tumors. Gene expression analysis revealed a panel of 14 genes to have differential expression between the two groups: several interleukins: IL13, IL16, IL17C and IL17F, IL1A, IL3; interleukin receptors: IL10RB, IL5RA; chemokines: CXCL13 and CCL26; and cytokines: CSF2, IFNA2, OSM, TNSF13. The expression levels of these genes have been previously shown to be associated with reduced immunological status; indeed, the triple-negative breast cancer patients presented with lower counts of lymphocytes and eosinophils than the ER/PR-positive ones. These results contribute to a better understanding of the possible role of antitumor immune responses in mediating the clinical outcome.

  14. Appearance of untreated bone metastases from breast cancer on FDG PET/CT: importance of histologic subtype

    International Nuclear Information System (INIS)

    Dashevsky, Brittany Z.; Parsons, Molly; Goldman, Debra A.; Goenen, Mithat; Corben, Adriana D.; Jochelson, Maxine S.; Ulaner, Gary A.; Hudis, Clifford A.; Morrow, Monica

    2015-01-01

    To determine if the histology of a breast malignancy influences the appearance of untreated osseous metastases on FDG PET/CT. This retrospective study was performed under IRB waiver. Our Hospital Information System was screened for breast cancer patients who presented with osseous metastases, who underwent FDG PET/CT prior to systemic therapy or radiotherapy from 2009 to 2012. Patients with invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC), or mixed ductal/lobular (MDL) histology were included. Patients with a history of other malignancies were excluded. PET/CT was evaluated, blinded to histology, to classify osseous metastases on a per-patient basis as sclerotic, lytic, mixed lytic/sclerotic, or occult on CT, and to record SUVmax for osseous metastases on PET. Following screening, 95 patients who met the inclusion criteria (74 IDC, 13 ILC, and 8 MDL) were included. ILC osseous metastases were more commonly sclerotic and demonstrated lower SUVmax than IDC metastases. In all IDC and MDL patients with osseous metastases, at least one was FDG-avid. For ILC, all patients with lytic or mixed osseous metastases demonstrated at least one FDG-avid metastasis; however, in only three of seven patients were sclerotic osseous metastases apparent on FDG PET. The histologic subtype of breast cancer affects the appearance of untreated osseous metastases on FDG PET/CT. In particular, non-FDG-avid sclerotic osseous metastases were more common in patients with ILC than in patients with IDC. Breast cancer histology should be considered when interpreting non-FDG-avid sclerotic osseous lesions on PET/CT, which may be more suspicious for metastases (rather than benign lesions) in patients with ILC. (orig.)

  15. Intrinsic subtypes and benefit from postmastectomy radiotherapy in node-positive premenopausal breast cancer patients who received adjuvant chemotherapy - results from two independent randomized trials

    DEFF Research Database (Denmark)

    Laurberg, Tinne; Tramm, Trine; Nielsen, Torsten

    2018-01-01

    BACKGROUND: The study of the intrinsic molecular subtypes of breast cancer has revealed differences among them in terms of prognosis and response to chemotherapy and endocrine therapy. However, the ability of intrinsic subtypes to predict benefit from adjuvant radiotherapy has only been examined...... randomized to adjuvant radiotherapy or not. All patients received adjuvant chemotherapy and a subgroup of patients underwent ovarian ablation. Tumors were classified into intrinsic subtypes: Luminal A, Luminal B, HER2-enriched, Basal-like and Normal-like using the research-based PAM50 classifier. RESULTS...

  16. Triple-negative breast cancer with brain metastases: a comparison between basal-like and non-basal-like biological subtypes

    NARCIS (Netherlands)

    A. Niwińska (Anna); W. Olszewski (Wojciech); M. Murawska (Magdalena); K. Pogoda (Katarzyna)

    2011-01-01

    textabstractThe aim of this study was to divide the group of triple-negative breast cancer patients with brain metastases into basal-like and non-basal-like biological subtypes in order to compare clinical features and survival rates in those two groups. A comprehensive analysis of 111 consecutive

  17. Admixture mapping of African-American women in the AMBER Consortium identifies new loci for breast cancer and estrogen-receptor subtypes

    Directory of Open Access Journals (Sweden)

    Edward Antonio Ruiz-Narvaez

    2016-09-01

    Full Text Available Recent genetic admixture coupled with striking differences in incidence of estrogen receptor (ER breast cancer subtypes, as well as severity, between women of African and European ancestry, provides an excellent rationale for performing admixture mapping in African American women with breast cancer risk. We performed the largest breast cancer admixture mapping study with in African American women to identify novel genomic regions associated with the disease. We conducted a genome-wide admixture scan using 2,624 autosomal ancestry informative markers (AIMs in 3,629 breast cancer cases (including 1,968 ER-positive, 1093 ER-negative and 601 triple-negative and 4,658 controls from the African American Breast Cancer Epidemiology and Risk (AMBER Consortium, a collaborative study of four large geographically different epidemiological studies of breast cancer in African American women. We used an independent case-control study to test for SNP association in regions with genome-wide significant admixture signals. We found two novel genome-wide significant regions of excess African ancestry, 4p16.1 and 17q25.1, associated with ER-positive breast cancer. Two regions known to harbor breast cancer variants, 10q26 and 11q13, were also identified with excess of African ancestry. Fine-mapping of the identified genome-wide significant regions suggests the presence of significant genetic associations with ER-positive breast cancer in 4p16.1 and 11q13. In summary, we identified three novel genomic regions associated with breast cancer risk by ER status, suggesting that additional previously unidentified variants may contribute to the racial differences in breast cancer risk in the African American population.

  18. Expression profile analysis of long noncoding RNA in HER-2-enriched subtype breast cancer by next-generation sequencing and bioinformatics

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    Yang F

    2016-02-01

    Full Text Available Fan Yang, Shixu Lyu, Siyang Dong, Yehuan Liu, Xiaohua Zhang, Ouchen Wang Department of Surgical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China Background: Human epidermal growth factor receptor 2 (HER-2-enriched subtype breast cancer is associated with a more aggressive phenotype and shorter survival time. Long noncoding RNAs (LncRNAs have essential roles in tumorigenesis and occupy a central place in cancer progression. Notably, few studies have focused on the dysregulation of LncRNAs in the HER-2-enriched subtype breast cancer. In this study, we analyzed the expression profile of LncRNAs and mRNAs in this particular subtype of breast cancer. Methods: Seven pairs of HER-2-enriched subtype breast cancer and normal tissue were sequenced. We screened out differently expressed genes and measured the correlation of the expression levels of dysregulated LncRNAs and HER-2 by Pearson’s correlation coefficient analysis. Gene ontology analysis and pathway analysis were used to understand the biological roles of these differently expressed genes. Pathway act network and coexpression network were constructed. Results: More than 1,300 LncRNAs and 2,800 mRNAs, which were significantly differently expressed, were identified. Among these LncRNAs, AFAP1-AS1 was the most dysregulated LncRNA, while ORM2 was the most dysregulated mRNA. LOC100288637 had the highest positive correlation coefficient of 0.93 with HER-2, while RPL13P5 had the highest negative correlation coefficient of -0.87. The pathway act network showed that MAPK signaling pathway, PI3K-Akt signaling pathway, metabolic pathways, cell cycle, and regulation of actin cytoskeleton were highly related with HER-2-enriched subtype breast cancer. Coexpression network recognized LINC00636, LINC01405, ADARB2-AS1, ST8SIA6-AS1, LINC00511, and DPP10-AS1 as core genes. Conclusion: These results analyze the functions of LncRNAs and provide

  19. Texture analysis of high-resolution dedicated breast {sup 18}F-FDG PET images correlates with immunohistochemical factors and subtype of breast cancer

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    Moscoso, Alexis; Dominguez-Prado, Ines; Herranz, Michel; Argibay, Sonia; Silva-Rodriguez, Jesus [Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Nuclear Medicine Department and Molecular Imaging Group, Santiago de Compostela (Spain); Ruibal, Alvaro [Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Nuclear Medicine Department and Molecular Imaging Group, Santiago de Compostela (Spain); University of Santiago de Compostela (USC), Molecular Imaging Group, Department of Radiology, Faculty of Medicine, Santiago de Compostela (Spain); Fundacion Tejerina, Madrid (Spain); Fernandez-Ferreiro, Anxo [Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Pharmacy Department and Pharmacology Group, Santiago de Compostela (Spain); Albaina, Luis [University Hospital A Coruna (SERGAS), Department of General Surgery, A Coruna (Spain); Pardo-Montero, Juan [Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Nuclear Medicine Department and Molecular Imaging Group, Santiago de Compostela (Spain); Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Medical Physics Department, Santiago de Compostela (Spain); Aguiar, Pablo [Complexo Hospitalario Universitario de Santiago de Compostela CHUS-IDIS, Nuclear Medicine Department and Molecular Imaging Group, Santiago de Compostela (Spain); University of Santiago de Compostela (USC), Molecular Imaging Group, Department of Radiology, Faculty of Medicine, Santiago de Compostela (Spain)

    2018-02-15

    This study aims to determine whether PET textural features measured with a new dedicated breast PET scanner reflect biological characteristics of breast tumors. One hundred and thirty-nine breast tumors from 127 consecutive patients were included in this analysis. All of them underwent a {sup 18}F-FDG PET scan before treatment. Well-known PET quantitative parameters such as SUV{sub m} {sub a} {sub x}, SUV{sub m} {sub e} {sub a} {sub n}, metabolically active tumor volume (MATV) and total lesion glycolysis (TLG) were extracted. Together with these parameters, local, regional, and global heterogeneity descriptors, which included five textural features (TF), were computed. Immunohistochemical classification of breast cancer considered five subtypes: luminal A like (LA), luminal B like/HER2 - (LB -), luminal B like/HER2+ (LB+), HER2-positive-non-luminal (HER2pnl), and triple negative (TN). Associations between PET features and tumor characteristics were assessed using non-parametric hypothesis tests. Along with well-established associations, new correlations were found. HER2-positive tumors had significantly higher uptake (p < 0.001, AUCs > 0.70) and presented different global and regional heterogeneity (p = 0.002, p = 0.016, respectively, AUCs < 0.70). Nine out of ten analyzed features were significantly associated with immunohistochemical subtype. Uptake was lower for LA tumors (p < 0.001) with AUCs ranging from 0.71 to 0.88 for each subgroup comparison. Heterogeneity metrics were significantly associated when comparing LA and LB - (p < 0.01), being regional heterogeneity metrics more discriminative than any other parameter (AUC = 0.80 compared to AUC = 0.71 for SUV). LB+ and HER2pnl tumors also showed more regional heterogeneity than LA tumors (AUCs = 0.79 and 0.84, respectively). After comparison with whole-body PET studies, we observed an overall improvement in the classification ability of both non-heterogeneity metrics and textural features. PET parameters

  20. Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors.

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    Cho, Gene Young; Moy, Linda; Kim, Sungheon G; Baete, Steven H; Moccaldi, Melanie; Babb, James S; Sodickson, Daniel K; Sigmund, Eric E

    2016-08-01

    To examine heterogeneous breast cancer through intravoxel incoherent motion (IVIM) histogram analysis. This HIPAA-compliant, IRB-approved retrospective study included 62 patients (age 48.44 ± 11.14 years, 50 malignant lesions and 12 benign) who underwent contrast-enhanced 3 T breast MRI and diffusion-weighted imaging. Apparent diffusion coefficient (ADC) and IVIM biomarkers of tissue diffusivity (Dt), perfusion fraction (fp), and pseudo-diffusivity (Dp) were calculated using voxel-based analysis for the whole lesion volume. Histogram analysis was performed to quantify tumour heterogeneity. Comparisons were made using Mann-Whitney tests between benign/malignant status, histological subtype, and molecular prognostic factor status while Spearman's rank correlation was used to characterize the association between imaging biomarkers and prognostic factor expression. The average values of the ADC and IVIM biomarkers, Dt and fp, showed significant differences between benign and malignant lesions. Additional significant differences were found in the histogram parameters among tumour subtypes and molecular prognostic factor status. IVIM histogram metrics, particularly fp and Dp, showed significant correlation with hormonal factor expression. Advanced diffusion imaging biomarkers show relationships with molecular prognostic factors and breast cancer malignancy. This analysis reveals novel diagnostic metrics that may explain some of the observed variability in treatment response among breast cancer patients. • Novel IVIM biomarkers characterize heterogeneous breast cancer. • Histogram analysis enables quantification of tumour heterogeneity. • IVIM biomarkers show relationships with breast cancer malignancy and molecular prognostic factors.

  1. The prognostic value of age for invasive lobular breast cancer depending on estrogen receptor and progesterone receptor-defined subtypes: A NCDB analysis.

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    Liu, Jieqiong; Chen, Kai; Mao, Kai; Su, Fengxi; Liu, Qiang; Jacobs, Lisa K

    2016-02-02

    We aimed to assess the effect of age on survival according to estrogen receptor (ER) and progesterone receptor (PR)-defined lobular breast cancer subtype in a wide age range. 43,230 invasive lobular breast cancer women without comorbidities diagnosed between 2004 and 2011 in the National Cancer Database (NCDB) were analyzed. The effects of age on overall survival (OS) among different age groups were evaluated by log-rank test and Cox proportional model. Multivariate analysis showed that patients diagnosed at both young ( 0.1); and in ER-PR+ subgroup, the HRs were similar in patients younger than 70 (P > 0.1); thus, the plots of HRs in these three subtypes remained steady until the age of 60 or 70. Our findings identified that the effect of age on OS in lobular breast cancer varied with ER/PR-defined subtypes. Personalized treatment strategies should be developed to improve outcomes of breast cancer patients with different ages and ER/PR statuses.

  2. Preferential antitumor effect of the Src inhibitor dasatinib associated with a decreased proportion of aldehyde dehydrogenase 1-positive cells in breast cancer cells of the basal B subtype

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    Watanabe Mika

    2010-10-01

    Full Text Available Abstract Background Recent studies have suggested that the Src inhibitor dasatinib preferentially inhibits the growth of breast cancer cells of the basal-like subtype. To clarify this finding and further investigate combined antitumor effects of dasatinib with cytotoxic agents, a panel of breast cancer cell lines of various subtypes was treated with dasatinib and/or chemotherapeutic agents. Methods Seven human breast cancer cell lines were treated with dasatinib and/or seven chemotherapeutic agents. Effects of the treatments on c-Src activation, cell growth, cell cycle, apoptosis and the proportion of aldehyde dehydrogenase (ALDH 1-positive cells were examined. Results The 50%-growth inhibitory concentrations (IC50s of dasatinib were much lower in two basal B cell lines than those in the other cell lines. The IC50s of chemotherapeutic agents were not substantially different among the cell lines. Dasatinib enhanced antitumor activity of etoposide in the basal B cell lines. Dasatinib induced a G1-S blockade with a slight apoptosis, and a combined treatment of dasatinib with etoposide also induced a G1-S blockade in the basal B cell lines. Dasatinib decreased the expression levels of phosphorylated Src in all cell lines. Interestingly, dasatinib significantly decreased the proportion of ALDH1-positive cells in the basal B cell lines but not in the other cell lines. Conclusions The present study indicates that dasatinib preferentially inhibits the growth of breast cancer cells of the basal B subtype associated with a significant loss of putative cancer stem cell population. A combined use of dasatinib with etoposide additively inhibits their growth. Further studies targeting breast cancers of the basal B subtype using dasatinib with cytotoxic agents are warranted.

  3. Incidence and risk factors for breast cancer subtypes in three distinct South-East Asian ethnic groups: Chinese, Malay and natives of Sarawak, Malaysia.

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    Devi, C R Beena; Tang, Tieng Swee; Corbex, Marilys

    2012-12-15

    We determined the incidences of the estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) subtypes among breast cancer cases in Sarawak, Malaysia and their correlation with various risk factors in the three ethnic groups: Chinese, Malay and native. Subtype status was ascertained for 1,034 cases of female breast cancer (93% of all cases diagnosed since 2003), and the age-standardized incidence rates (ASRs) of each subtype were inferred. Case-case comparisons across subtypes were performed for reproductive risk factors. We found 48% luminal A (ER+/PR+/HER2-), 29% triple-negative (ER-/PR-/HER2-), 12% triple-positive (ER+/PR+/HER2+) and 11% HER2-overexpressing (ER-/PR-/HER2+) subtypes, with ASRs of 10.6, 6.0, 2.8 and 2.8 per 100,000, respectively. The proportions of subtypes and ASRs differed significantly by ethnic groups: HER2-positive cases were more frequent in Malays (29%; 95% CI [23;35]) than Chinese (22%; [19;26] and natives (21%; [16;26]); triple-negative cases were less frequent among Chinese (23%; [20;27]) than Malays (33%; [27;39]) and natives (37%; [31;43]). The results of the case-case comparison were in accordance with those observed in western case series. Some uncommon associations, such as between triple-negative subtype and older age at menopause (OR, 1.59; p < 0.05), were found. The triple-negative and HER2+ subtypes predominate in our region, with significant differences among ethnic groups. Our results support the idea that the risk factors for different subtypes vary markedly. Westernized populations are more likely to have factors that increase the risk for the luminal A type, while risk factors for the triple-negative type are more frequent in local populations. Copyright © 2012 UICC.

  4. Education Level Is a Strong Prognosticator in the Subgroup Aged More Than 50 Years Regardless of the Molecular Subtype of Breast Cancer: A Study Based on the Nationwide Korean Breast Cancer Registry Database.

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    Hwang, Ki-Tae; Noh, Woochul; Cho, Se-Heon; Yu, Jonghan; Park, Min Ho; Jeong, Joon; Lee, Hyouk Jin; Kim, Jongjin; Oh, Sohee; Kim, Young A

    2017-10-01

    This study investigated the role of the education level (EL) as a prognostic factor for breast cancer and analyzed the relationship between the EL and various confounding factors. The data for 64,129 primary breast cancer patients from the Korean Breast Cancer Registry were analyzed. The EL was classified into two groups according to the education period; the high EL group (≥ 12 years) and low EL group (EL conferred a superior prognosis compared to a low EL in the subgroup aged > 50 years (hazard ratio, 0.626; 95% confidence interval [CI], 0.577 to 0.678) but not in the subgroup aged ≤ 50 years (hazard ratio, 0.941; 95% CI, 0.865 to 1.024). The EL was a significant independent factor in the subgroup aged > 50 years according to multivariate analyses. The high EL group showed more favorable clinicopathologic features and a higher proportion of patients in this group received lumpectomy, radiation therapy, and endocrine therapy. In the high EL group, a higher proportion of patients received chemotherapy in the subgroups with unfavorable clinicopathologic features. The EL was a significant prognosticator across all molecular subtypes of breast cancer. The EL is a strong independent prognostic factor for breast cancer in the subgroup aged > 50 years regardless of the molecular subtype, but not in the subgroup aged ≤ 50 years. Favorable clinicopathologic features and active treatments can explain the main causality of the superior prognosis in the high EL group.

  5. Age/race differences in HER2 testing and in incidence rates for breast cancer triple subtypes: a population-based study and first report.

    Science.gov (United States)

    Lund, Mary Jo; Butler, Ebonee N; Hair, Brionna Y; Ward, Kevin C; Andrews, Judy H; Oprea-Ilies, Gabriella; Bayakly, A Rana; O'Regan, Ruth M; Vertino, Paula M; Eley, J William

    2010-06-01

    Although US year 2000 guidelines recommended characterizing breast cancers by human epidermal growth factor receptor 2 (HER2), national cancer registries do not collect HER2, rendering a population-based understanding of HER2 and clinical "triple subtypes" (estrogen receptor [ER] / progesterone receptor [PR] / HER2) largely unknown. We document the population-based prevalence of HER2 testing / status, triple subtypes and present the first report of subtype incidence rates. Medical records were searched for HER2 on 1842 metropolitan Atlanta females diagnosed with breast cancer during 2003-2004. HER2 testing/status and triple subtypes were analyzed by age, race/ethnicity, tumor factors, socioeconomic status, and treatment. Age-adjusted incidence rates were calculated. Over 90% of cases received HER2 testing: 12.6% were positive, 71.7% negative, and 15.7% unknown. HER2 testing compliance was significantly better for women who were younger, of Caucasian or African-American descent, or diagnosed with early stage disease. Incidence rates (per 100,000) were 21.1 for HER2+ tumors and 27.8 for triple-negative tumors, the latter differing by race (36.3 and 19.4 for black and white women, respectively). HER2 recommendations are not uniformly adhered to. Incidence rates for breast cancer triple subtypes differ by age/race. As biologic knowledge is translated into the clinical setting eg, HER2 as a biomarker, it will be incumbent upon national cancer registries to report this information. Incidence rates cautiously extrapolate to an annual burden of 3000 and 17,000 HER2+ tumors for black and white women, respectively, and triple-negative tumors among 5000 and 16,000 respectively. Testing, rate, and burden variations warrant population-based in-depth exploration and clinical translation. (c) 2010 American Cancer Society.

  6. Luminal B tumors are the most frequent molecular subtype in breast cancer of North African women: an immunohistochemical profile study from Morocco

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    El Fatemi Hinde

    2012-12-01

    Full Text Available Abstract Background Breast cancer may be classified into luminal A, luminal B, HER2+/ER-, basal-like and normal-like subtypes based on gene expression profiling or immunohistochemical (IHC characteristics. The aim of our study is to show the molecular profile characteristic of breast cancer in the North African population of Morocco. This work showed preliminary results and correlations with clinicopathological and histological parameters. Three hundred and ninety primary breast carcinomas tumor tissues were immunostained for ER, PR, HER2, CK5/6, CK8/18 and Ki67 using paraffin tissue. Methods We reviewed 390 cases of breast cancer diagnosed on January 2008 to December 2011 at the Department of pathology, Hassan II teaching hospital, Fez, Morocco. Age, size tumor, metastatic profile, node involvement profile, histological type and immunohistochemical profile were studied. Results The average age was 46 years; our patients were diagnosed late with a high average tumor size. Luminal B subtype was more prevalent (41.8%, followed by luminal A (30.5%, basal-like (13, 6%, Her2-overexpressing (9, 2%, and unclassified subtype (4.9%. Conclusion This study showed that molecular classification and biological profile may be different according to geographical distribution, to encourage further studies to know the genomic profile of tumors and the environment. Virtual slide http://www.diagnosticpathology.diagnomx.eu/vs/1675272504826544

  7. Use of ER/PR/HER2 subtypes in conjunction with the 2007 St Gallen Consensus Statement for early breast cancer

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    Parise Carol

    2010-05-01

    Full Text Available Abstract Background The 2007 St Gallen international expert consensus statement describes three risk categories and provides recommendations for treatment of early breast cancer. The set of recommendations on how to best treat primary breast cancer is recognized and used by clinicians worldwide. We now examine the variability of five-year survival of the 2007 St Gallen Risk Classifications utilizing the ER/PR/HER2 subtypes. Methods Using the population-based California Cancer Registry, 114,786 incident cases of Stages 1-3 invasive breast cancer diagnosed between 2000 and 2006 were identified. Cases were assigned to Low, Intermediate, or High Risk categories. Five-year-relative survival was computed for the three St Gallen risk categories and for the ER/PR/HER2 subtypes for further differentiation. Results and Discussion There were 9,124 (13% cases classified as Low Risk, 44,234 (65% cases as Intermediate Risk, and 14,340 (21% as High Risk. Within the Intermediate Risk group, 33,735 (76% were node-negative (Intermediate Risk 2 and 10,499 (24% were node-positive (Intermediate Risk 3. For the High Risk group, 6,149 (43% had 1 to 3 positive axillary lymph nodes (High Risk 4 and 8,191 (57% had four or more positive lymph nodes (High Risk 5. Using five-year relative survival as the principal criterion, we found the following: a There was very little difference between the Low Risk and Intermediate Risk categories; b Use of the ER/PR/HER2 subtypes within the Intermediate and High Risk categories separated each into a group with better five-year survival (ER-positive and a group with worse survival (ER-negative, irrespective of HER2-status; c The heterogeneity of the High Risk category was most evident when one examined the ER/PR/HER2 subtypes with four or more positive axillary lymph nodes; (d HER2-positivity did not always translate to worse survival, as noted when one compared the triple positive subtype (ER+/PR+/HER2+ to the triple negative subtype

  8. Differential response of immunohistochemically defined breast cancer subtypes to anthracycline-based adjuvant chemotherapy with or without paclitaxel.

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    George Fountzilas

    Full Text Available BACKGROUND: The aim of the present study was to investigate the efficacy of adjuvant dose-dense sequential chemotherapy with epirubicin, paclitaxel, and CMF in subgroups of patients with high-risk operable breast cancer, according to tumor subtypes defined by immunohistochemistry (IHC. MATERIALS AND METHODS: Formalin-fixed paraffin-embedded (FFPE tumor tissue samples from 1,039 patients participating in two adjuvant dose-dense sequential chemotherapy phase III trials were centrally assessed in tissue micro-arrays by IHC for 6 biological markers, that is, estrogen receptor (ER, progesterone receptor (PgR, HER2, Ki67, cytokeratin 5 (CK5, and EGFR. The majority of the cases were further evaluated for HER2 amplification by FISH. Patients were classified as: luminal A (ER/PgR-positive, HER2-negative, Ki67(low; luminal B (ER/PgR-positive, HER2-negative, Ki67(high; luminal-HER2 (ER/PgR-positive, HER2-positive; HER2-enriched (ER-negative, PgR-negative, HER2-positive; triple-negative (TNBC (ER-negative, PgR-negative, HER2-negative; and basal core phenotype (BCP (TNBC, CK5-positive and/or EGFR-positive. RESULTS: After a median follow-up time of 105.4 months the 5-year disease-free survival (DFS and overall survival (OS rates were 73.1% and 86.1%, respectively. Among patients with HER2-enriched tumors there was a significant benefit in both DFS and OS (log-rank test; p = 0.021 and p = 0.006, respectively for those treated with paclitaxel. The subtype classification was found to be of both predictive and prognostic value. Setting luminal A as the referent category, the adjusted for prognostic factors HR for relapse for patients with TNBC was 1.91 (95% CI: 1.31-2.80, Wald's p = 0.001 and for death 2.53 (95% CI: 1.62-3.60, p<0.001. Site of and time to first relapse differed according to subtype. Locoregional relapses and brain metastases were more frequent in patients with TNBC, while liver metastases were more often seen in patients with HER2-enriched tumors

  9. New insights into the metastatic behavior after breast cancer surgery, according to well-established clinicopathological variables and molecular subtypes.

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    Oreste Claudio Buonomo

    Full Text Available Despite advances in treatment, up to 30% of patients with early breast cancer (BC experience distant disease relapse. However, a comprehensive understanding of tumor spread and site-specific recurrence patterns remains lacking. This retrospective case-control study included 103 consecutive patients with metastatic BC admitted to our institution (2000-2013. Cases were matched according to age, tumor biology, and clinicopathological features to 221 patients with non-metastatic BC (control group. The median follow-up period among the 324 eligible patients was 7.3 years. While relatively low values for sensitivity (71% and specificity (56% were found for axillary lymph node (ALN involvement as an indicator of risk and pattern of distant relapse, nodal status remained the most powerful predictor of metastases (OR: 3.294; CL: 1.9-5.5. Rates of dissemination and metastatic efficiency differed according to molecular subtype. HER2-positive subtypes showed a stronger association with systemic spread (OR: 2.127; CL: 1.2-3.8 than other subgroups. Classification as Luminal or Non-Luminal showed an increased risk of lung and distant nodal recurrence, and a decreased risk in bone metastases in the Non-Luminal group (OR: 2.9, 3.345, and 0.2, respectively. Tumors with HER2 overexpression had a significantly high risk for distant relapse (OR: 2.127 compared with HER2-negative tumors and also showed higher central nervous system (CNS and lung metastatic potential (OR: 5.6 and 2.65, respectively and low risk of bone disease progression (OR: 0.294. Furthermore, we found significant associations between biological profiles and sites of recurrence. A new process of clinical/diagnostic staging, including molecular subtypes, could better predict the likelihood of distant relapses and their anatomical location. Recognition and appreciation of clinically distinct molecular subtypes may assist in evaluation of the probability of distant relapses and their sites. Our

  10. E-cadherin expression phenotypes associated with molecular subtypes in invasive non-lobular breast cancer: evidence from a retrospective study and meta-analysis.

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    Liu, Jiang-Bo; Feng, Chen-Yi; Deng, Miao; Ge, Dong-Feng; Liu, De-Chun; Mi, Jian-Qiang; Feng, Xiao-Shan

    2017-08-01

    This retrospective study and meta-analysis was designed to explore the relationship between E-cadherin (E-cad) expression and the molecular subtypes of invasive non-lobular breast cancer, especially in early-stage invasive ductal carcinoma (IDC). A total of 156 post-operative cases of early-stage IDCs were retrospectively collected for the immunohistochemistry (IHC) detection of E-cad expression. The association of E-cad expression with molecular subtypes of early-stage IDCs was analyzed. A literature search was conducted in March 2016 to retrieve publications on E-cad expression in association with molecular subtypes of invasive non-lobular breast cancer, and a meta-analysis was performed to estimate the relational statistics. E-cad was expressed in 82.7% (129/156) of early-stage IDCs. E-cad expression was closely associated with the molecular types of early-stage IDCs (P cancer (TNBC) than in other molecular subtypes (TNBC vs. luminal A: RR = 3.45, 95% CI = 2.79-4.26; TNBC vs. luminal B: RR = 2.41, 95% CI = 1.49-3.90; TNBC vs. HER2-enriched: RR = 1.95, 95% CI = 1.24-3.07). Early-stage IDCs or invasive non-lobular breast cancers with the TNBC molecular phenotype have a higher risk for the loss of E-cad expression than do tumors with non-TNBC molecular phenotypes, suggesting that E-cad expression phenotypes were closely related to molecular subtypes and further studies are needed to clarify the underlying mechanism.

  11. Association between lifetime exposure to passive smoking and risk of breast cancer subtypes defined by hormone receptor status among non-smoking Caucasian women.

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    Loreta Strumylaite

    Full Text Available Tobacco smoking is inconsistently associated with breast cancer. Although some studies suggest that breast cancer risk is related to passive smoking, little is known about the association with breast cancer by tumor hormone receptor status. We aimed to explore the association between lifetime passive smoking and risk of breast cancer subtypes defined by estrogen receptor and progesterone receptor status among non-smoking Caucasian women. A hospital-based case-control study was performed in 585 cases and 1170 controls aged 28-90 years. Information on lifetime passive smoking and other factors was collected via a self-administered questionnaire. Logistic regression was used for analyses restricted to the 449 cases and 930 controls who had never smoked actively. All statistical tests were two-sided. Adjusted odds ratio of breast cancer was 1.01 (95% confidence interval (CI: 0.72-1.41 in women who experienced exposure to passive smoking at work, 1.88 (95% CI: 1.38-2.55 in women who had exposure at home, and 2.80 (95% CI: 1.84-4.25 in women who were exposed at home and at work, all compared with never exposed regularly. Increased risk was associated with longer exposure: women exposed ≤ 20 years and > 20 years had 1.27 (95% CI: 0.97-1.66 and 2.64 (95% CI: 1.87-3.74 times higher risk of breast cancer compared with never exposed (Ptrend 0.05. There was evidence of interaction between passive smoking intensity and menopausal status in both overall group (P = 0.02 and hormone receptor-positive breast cancer group (P < 0.05. In Caucasian women, lifetime exposure to passive smoking is associated with the risk of breast cancer independent of tumor hormone receptor status with the strongest association in postmenopausal women.

  12. Breast cancer

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    ... can help you know how to prevent breast cancer. Breast implants, using antiperspirants, and wearing underwire bras do not increase the risk for breast cancer. There is also no evidence of a direct ...

  13. Comparison of Pathologic Response Evaluation Systems after Anthracycline with/without Taxane-Based Neoadjuvant Chemotherapy among Different Subtypes of Breast Cancers.

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    Hee Jin Lee

    Full Text Available Several methods are used to assess the pathologic response of breast cancer after neoadjuvant chemotherapy (NAC to predict clinical outcome. However, the clinical utility of these systems for each molecular subtype of breast cancer is unclear. Therefore, we applied six pathologic response assessment systems to specific subtypes of breast cancer and compared the results.Five hundred and eighty eight breast cancer patients treated with anthracycline with/without taxane-based NAC were retrospectively analyzed, and the ypTNM stage, residual cancer burden (RCB, residual disease in breast and nodes (RDBN, tumor response ratio, Sataloff's classification, and Miller-Payne grading system were evaluated. The results obtained for each assessment system were analyzed in terms of patient survival.In triple-negative tumors, all systems were significantly associated with disease-free survival and Kaplan-Meier survival curves for disease-free survival were clearly separated by all assessment methods. For HR+/HER2- tumors, systems assessing the residual tumor (ypTNM stage, RCB, and RDBN had prognostic significance. However, for HER2+ tumors, the association between patient survival and the pathologic response assessment results varied according to the system used, and none resulted in distinct Kaplan-Meier curves.Most of the currently available pathologic assessment systems used after anthracycline with/without taxane-based NAC effectively classified triple-negative breast cancers into groups showing different prognoses. The pathologic assessment systems evaluating residual tumors only also had prognostic significance in HR+/HER2- tumors. However, new assessment methods are required to effectively evaluate the pathologic response of HR+/HER2+ and HR-/HER2+ tumors to anthracycline with/without taxane-based NAC.

  14. Prognostic Value of Molecular Subtypes, Ki67 Expression and Impact of Postmastectomy Radiation Therapy in Breast Cancer Patients With Negative Lymph Nodes After Mastectomy

    Energy Technology Data Exchange (ETDEWEB)

    Selz, Jessica, E-mail: chaumontjessica@yahoo.fr [Department of Radiation Oncology, Institut Curie, Hopital Rene Huguenin, Saint Cloud (France); Stevens, Denise; Jouanneau, Ludivine [Department of Medical Statistics, Institut Curie, Hopital Rene Huguenin, Saint Cloud (France); Labib, Alain [Department of Radiation Oncology, Institut Curie, Hopital Rene Huguenin, Saint Cloud (France); Le Scodan, Romuald [Department of Radiation Oncology, Centre Hospitalier Prive Saint Gregoire, Saint Gregoire (France)

    2012-12-01

    Purpose: To determine whether Ki67 expression and breast cancer subtypes could predict locoregional recurrence (LRR) and influence the postmastectomy radiotherapy (PMRT) decision in breast cancer (BC) patients with pathologic negative lymph nodes (pN0) after modified radical mastectomy (MRM). Methods and Materials: A total of 699 BC patients with pN0 status after MRM, treated between 2001 and 2008, were identified from a prospective database in a single institution. Tumors were classified by intrinsic molecular subtype as luminal A or B, HER2+, and triple-negative (TN) using estrogen, progesterone, and HER2 receptors. Multivariate Cox analysis was used to determine the risk of LRR associated with intrinsic subtypes and Ki67 expression, adjusting for known prognostic factors. Results: At a median follow-up of 56 months, 17 patients developed LRR. Five-year LRR-free survival and overall survival in the entire population were 97%, and 94.7%, respectively, with no difference between the PMRT (n=191) and no-PMRT (n=508) subgroups. No constructed subtype was associated with an increased risk of LRR. Ki67 >20% was the only independent prognostic factor associated with increased LRR (hazard ratio, 4.18; 95% CI, 1.11-15.77; P<.0215). However, PMRT was not associated with better locoregional control in patients with proliferative tumors. Conclusions: Ki67 expression but not molecular subtypes are predictors of locoregional recurrence in breast cancer patients with negative lymph nodes after MRM. The benefit of adjuvant RT in patients with proliferative tumors should be further investigated in prospective studies.

  15. Prognostic Value of Molecular Subtypes, Ki67 Expression and Impact of Postmastectomy Radiation Therapy in Breast Cancer Patients With Negative Lymph Nodes After Mastectomy

    International Nuclear Information System (INIS)

    Selz, Jessica; Stevens, Denise; Jouanneau, Ludivine; Labib, Alain; Le Scodan, Romuald

    2012-01-01

    Purpose: To determine whether Ki67 expression and breast cancer subtypes could predict locoregional recurrence (LRR) and influence the postmastectomy radiotherapy (PMRT) decision in breast cancer (BC) patients with pathologic negative lymph nodes (pN0) after modified radical mastectomy (MRM). Methods and Materials: A total of 699 BC patients with pN0 status after MRM, treated between 2001 and 2008, were identified from a prospective database in a single institution. Tumors were classified by intrinsic molecular subtype as luminal A or B, HER2+, and triple-negative (TN) using estrogen, progesterone, and HER2 receptors. Multivariate Cox analysis was used to determine the risk of LRR associated with intrinsic subtypes and Ki67 expression, adjusting for known prognostic factors. Results: At a median follow-up of 56 months, 17 patients developed LRR. Five-year LRR-free survival and overall survival in the entire population were 97%, and 94.7%, respectively, with no difference between the PMRT (n=191) and no-PMRT (n=508) subgroups. No constructed subtype was associated with an increased risk of LRR. Ki67 >20% was the only independent prognostic factor associated with increased LRR (hazard ratio, 4.18; 95% CI, 1.11-15.77; P<.0215). However, PMRT was not associated with better locoregional control in patients with proliferative tumors. Conclusions: Ki67 expression but not molecular subtypes are predictors of locoregional recurrence in breast cancer patients with negative lymph nodes after MRM. The benefit of adjuvant RT in patients with proliferative tumors should be further investigated in prospective studies.

  16. Re-Appraisal of Estrogen Receptor Negative/Progesterone Receptor Positive (ER-/PR+) Breast Cancer Phenotype: True Subtype or Technical Artefact?

    Science.gov (United States)

    Foley, Niamh M; Coll, J M; Lowery, A J; Hynes, S O; Kerin, M J; Sheehan, M; Brodie, C; Sweeney, K J

    2017-09-11

    Expression of the ER and PR receptors is routinely quantified in breast cancer as a predictive marker of response to hormonal therapy. Accurate determination of ER and PR status is critical to the optimal selection of patients for targeted therapy. The existence of an ER-/PR+ subtype is controversial, with debate centred on whether this represents a true phenotype or a technical artefact on immunohistochemistry (IHC). The aim of this study was to investigate the true incidence and clinico-pathological features of ER-/PR+ breast cancers in a tertiary referral symptomatic breast unit. Clinico-pathological data were collected on invasive breast cancers diagnosed between 1995 and 2005. IHC for ER and PR receptors was repeated on all cases which were ER-/PR+, with the same paraffin block used for the initial diagnostic testing. Concordance between the diagnostic and repeat IHC was determined using validated testing. Complete data, including ER and PR status were available for 697 patients diagnosed during the study period. On diagnostic IHC, the immunophenotype of the breast tumours was: ER+/PR+ in 396 (57%), ER-/PR- in 157 (23%), ER+/PR- in 88 (12%) and ER-/PR+ in 56 (8.6%) patients. On repeat IHC of 48/56 ER-/PR+ tumours 45.8% were ER+/PR+, 6% were ER+/PR- and 43.7% were ER-/PR- None of the cases were confirmed to be ER-/PR+. The ER-/PR+ phenotypic breast cancer is likely to be the result of technical artefact. Prompt reassessment of patients originally assigned to this subtype who re-present with symptoms should be considered to ensure appropriate clinical management.

  17. Identification of breast cancer cell subtypes sensitive to ATG4B inhibition

    OpenAIRE

    Bortnik, Svetlana; Choutka, Courtney; Horlings, Hugo M.; Leung, Samuel; Baker, Jennifer H.; Lebovitz, Chandra; Dragowska, Wieslawa H.; Go, Nancy E.; Bally, Marcel B.; Minchinton, Andrew I.; Gelmon, Karen A.; Gorski, Sharon M.

    2016-01-01

    Autophagy, a lysosome-mediated degradation and recycling process, functions in advanced malignancies to promote cancer cell survival and contribute to cancer progression and drug resistance. While various autophagy inhibition strategies are under investigation for cancer treatment, corresponding patient selection criteria for these autophagy inhibitors need to be developed. Due to its central roles in the autophagy process, the cysteine protease ATG4B is one of the autophagy proteins being pu...

  18. Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy

    Energy Technology Data Exchange (ETDEWEB)

    Drisis, Stylianos; Stathopoulos, Konstantinos; Chao, Shih-Li; Lemort, Marc [Institute Jules Bordet, Radiology Department, Brussels (Belgium); Metens, Thierry [Erasme University Hospital, Radiology Department, Brussels (Belgium); Ignatiadis, Michael [Institute Jules Bordet, Oncology Department, Brussels (Belgium)

    2016-05-15

    To assess whether DCE-MRI pharmacokinetic (PK) parameters obtained before and during chemotherapy can predict pathological complete response (pCR) differently for different breast cancer groups. Eighty-four patients who received neoadjuvant chemotherapy for locally advanced breast cancer were retrospectively included. All patients underwent two DCE-MRI examinations, one before (EX1) and one during treatment (EX2). Tumours were classified into different breast cancer groups, namely triple negative (TNBC), HER2+ and ER+/HER2-, and compared with the whole population (WP). PK parameters Ktrans and Ve were extracted using a two-compartment Tofts model. At EX1, Ktrans predicted pCR for WP and TNBC. At EX2, maximum diameter (Dmax) predicted pCR for WP and ER+/HER2-. Both PK parameters predicted pCR in WP and TNBC and only Ktrans for the HER2+. pCR was predicted from relative difference (EX1 - EX2)/EX1 of Dmax and both PK parameters in the WP group and only for Ve in the TNBC group. No PK parameter could predict response for ER+/HER-. ROC comparison between WP and breast cancer groups showed higher but not statistically significant values for TNBC for the prediction of pCR Quantitative DCE-MRI can better predict pCR after neoadjuvant treatment for TNBC but not for the ER+/HER2- group. (orig.)

  19. Breast cancer

    African Journals Online (AJOL)

    A collaborative article gives an overview of breast cancer in LICs, ... approach to the problem; therefore they are published as two separate ... attached to the diagnosis of breast cancer. ... Their founding statement in its early form is included.

  20. Patient Age and Tumor Subtype Predict the Extent of Axillary Surgery Among Breast Cancer Patients Eligible for the American College of Surgeons Oncology Group Trial Z0011.

    Science.gov (United States)

    Ong, Cecilia T; Thomas, Samantha M; Blitzblau, Rachel C; Fayanju, Oluwadamilola M; Park, Tristen S; Plichta, Jennifer K; Rosenberger, Laura H; Hyslop, Terry; Shelley Hwang, E; Greenup, Rachel A

    2017-11-01

    The American College of Surgeons Oncology Group (ACOSOG) Z0011 trial established the safety of omitting axillary lymph node dissection (ALND) for early-stage breast cancer patients with limited nodal disease undergoing lumpectomy. We examined the extent of axillary surgery among women eligible for Z0011 based on patient age and tumor subtype. Patients with cT1-2, cN0 breast cancers and one or two positive nodes diagnosed from 2009 to 2014 and treated with lumpectomy were identified in the National Cancer Data Base. Sentinel lymph node biopsy (SLNB) was defined as the removal of 1-5 nodes and ALND as the removal of 10 nodes or more. Tumor subtype was categorized as luminal, human epidermal growth factor 2-positive (HER2+), or triple-negative. Logistic regression was used to estimate the odds of receiving SLNB alone versus ALND. The inclusion criteria were met by 28,631 patients (21,029 SLNB-alone and 7602 ALND patients). Patients 70 years of age or older were more likely to undergo SLNB alone than ALND (27.0% vs 20.1%; p alone and 89.7% after ALND. In the multivariate analysis, the uptake of Z0011 recommendations increased over time (2014 vs 2009: odds ratio [OR] 13.02; p alone than older patients (age alone than those with luminal subtypes. Among women potentially eligible for ACOSOG Z0011, the use of SLNB alone increased over time in all groups, but the extent of axillary surgery differed by patient age and tumor subtype.

  1. Breast Cancer

    Science.gov (United States)

    Breast cancer affects one in eight women during their lives. No one knows why some women get breast cancer, but there are many risk factors. Risks that ... who have family members with breast or ovarian cancer may wish to be tested for the genes. ...

  2. Genotypic and phenotypic analysis of familial male breast cancer shows under representation of the HER2 and basal subtypes in BRCA-associated carcinomas

    International Nuclear Information System (INIS)

    Deb, Siddhartha; Jene, Nicholas; Fox, Stephen B

    2012-01-01

    Male breast cancer (MBC) is an uncommon and relatively uncharacterised disease accounting for <1% of all breast cancers. A significant proportion occurs in families with a history of breast cancer and in particular those carrying BRCA2 mutations. Here we describe clinicopathological features and genomic BRCA1 and BRCA2 mutation status in a large cohort of familial MBCs. Cases (n=60) included 3 BRCA1 and 25 BRCA2 mutation carries, and 32 non-BRCA1/2 (BRCAX) carriers with strong family histories of breast cancer. The cohort was examined with respect to mutation status, clinicopathological parameters including TNM staging, grade, histological subtype and intrinsic phenotype. Compared to the general population, MBC incidence was higher in all subgroups. In contrast to female breast cancer (FBC) there was greater representation of BRCA2 tumours (41.7% vs 8.3%, p=0.0008) and underrepresentation of BRCA1 tumours (5.0% vs 14.4%, p=0.0001). There was no correlation between mutation status and age of onset, disease specific survival (DSS) or other clincopathological factors. Comparison with sporadic MBC studies showed similar clinicopathological features. Prognostic variables affecting DSS included primary tumour size (p=0.003, HR:4.26 95%CI 1.63-11.11), age (p=0.002, HR:4.09 95%CI 1.65-10.12), lymphovascular (p=0.019, HR:3.25 95%CI 1.21-8.74) and perineural invasion (p=0.027, HR:2.82 95%CI 1.13-7.06). Unlike familial FBC, the histological subtypes seen in familial MBC were more similar to those seen in sporadic MBC with 46 (76.7%) pure invasive ductal carcinoma of no special type (IDC-NST), 2 (3.3%) invasive lobular carcinomas and 4 (6.7%) invasive papillary carcinoma. A further 8 (13.3%) IDC-NST had foci of micropapillary differentiation, with a strong trend for co-occurrence in BRCA2 carriers (p=0.058). Most tumours were of the luminal phenotype (89.7%), with infrequent HER2 (8.6%) and basal (1.7%) phenotype tumours seen. MBC in BRCA1/2 carriers and BRCAX families is

  3. Expression of HIF-1α and Markers of Angiogenesis Are Not Significantly Different in Triple Negative Breast Cancer Compared to Other Breast Cancer Molecular Subtypes: Implications for Future Therapy.

    Science.gov (United States)

    Yehia, Lamis; Boulos, Fouad; Jabbour, Mark; Mahfoud, Ziyad; Fakhruddin, Najla; El-Sabban, Marwan

    2015-01-01

    Triple negative breast cancer lacks estrogen, progesterone and epidermal growth factor receptors rendering it refractory to available targetedtherapies. TNBC is associated with central fibrosis and necrosis, both indicators of tumor hypoxia. Hypoxia inducible factor 1α is up-regulated under hypoxia and its expression is associated with induction of angiogenesis resulting in proliferation, aggressive tumor phenotype and metastasis. In this study we evaluate the potential use of HIF-1α as aTNBC-specific marker. 62 TNBC, 64 HER2+, and 64 hormone-receptors positive breast cancer cases were evaluated for central fibrosis and necrosis, HIF-1α, HIF-1β, VEGFR3, CD31 expression and microvessel density. RNA extraction from paraffin-embedded samples, followed by quantitative real-time polymerase chain reaction (qRT-PCR) evaluation of HIF-1α and VEGF transcripts was performed on 54 cases (18 from each subtype). HIF-1α protein was expressed in 35.5% TNBC, 45.3% HER2+and 25.0% ER+/PR+ (p = 0.055; χ2 test). PCRanalysis of subgroup of breast cancers, 84.2% expressed HIF-1α protein and its transcripts, while only 66.7% expressed VEGF transcripts simultaneously with the HIF-1α protein and its transcripts. Central fibrosis and necrosis was highest in TNBC (p = 0.015; χ2 test), while MVD was comparable among all groups (p = 0.928; χ2 test). VEGFR3 was highest in TNBC expressing HIF-1α. HIF-1β protein was expressed in 32.0% of HIF-1α(+), and in (44.3%) of HIF-1α(-) breast cancer cases (p = 0.033; χ2 test). Moreover, HIF-1α expression in cases with central fibrosis and necrosis was highest in the HER2+ followed by the TNBC (p = 0.156; χ2 test). A proportion of TNBC express HIF-1α but not in a significantly different manner from other breast cancer subtypes. The potential of anti-HIF-1α targeted therapy is therefore not a candidate for exclusive use in TNBC, but should be considered in all breast cancers, especially in the setting of clinically aggressive or

  4. The impact of breast cancer biological subtyping on tumor size assessment by ultrasound and mammography - a retrospective multicenter cohort study of 6543 primary breast cancer patients

    International Nuclear Information System (INIS)

    Stein, Roland Gregor; Wollschläger, Daniel; Kreienberg, Rolf; Janni, Wolfgang; Wischnewsky, Manfred; Diessner, Joachim; Stüber, Tanja; Bartmann, Catharina; Krockenberger, Mathias; Wischhusen, Jörg; Wöckel, Achim; Blettner, Maria; Schwentner, Lukas

    2016-01-01

    Mammography and ultrasound are the gold standard imaging techniques for preoperative assessment and for monitoring the efficacy of neoadjuvant chemotherapy in breast cancer. Maximum accuracy in predicting pathological tumor size non-invasively is critical for individualized therapy and surgical planning. We therefore aimed to assess the accuracy of tumor size measurement by ultrasound and mammography in a multicentered health services research study. We retrospectively analyzed data from 6543 patients with unifocal, unilateral primary breast cancer. The maximum tumor diameter was measured by ultrasound and/or mammographic imaging. All measurements were compared to final tumor diameter determined by postoperative histopathological examination. We compared the precision of each imaging method across different patient subgroups as well as the method-specific accuracy in each patient subgroup. Overall, the correlation with histology was 0.61 for mammography and 0.60 for ultrasound. Both correlations were higher in pT2 cancers than in pT1 and pT3. Ultrasound as well as mammography revealed a significantly higher correlation with histology in invasive ductal compared to lobular cancers (p < 0.01). For invasive lobular cancers, the mammography showed better correlation with histology than ultrasound (p = 0.01), whereas there was no such advantage for invasive ductal cancers. Ultrasound was significantly superior for HR negative cancers (p < 0.001). HER2/neu positive cancers were also more precisely assessed by ultrasound (p < 0.001). The size of HER2/neu negative cancers could be more accurately predicted by mammography (p < 0.001). This multicentered health services research approach demonstrates that predicting tumor size by mammography and ultrasound provides accurate results. Biological tumor features do, however, affect the diagnostic precision

  5. Is Biological Subtype Prognostic of Locoregional Recurrence Risk in Women With pT1-2N0 Breast Cancer Treated With Mastectomy?

    Energy Technology Data Exchange (ETDEWEB)

    Truong, Pauline T., E-mail: ptruong@bccancer.bc.ca [Radiation Therapy Program, British Columbia Cancer Agency, Vancouver Island Centre, University of British Columbia, Victoria, BC (Canada); Breast Cancer Outcomes Unit, British Columbia Cancer Agency, Vancouver Island Centre, University of British Columbia, Victoria, BC (Canada); Sadek, Betro T. [Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts (United States); Lesperance, Maria F. [Radiation Therapy Program, British Columbia Cancer Agency, Vancouver Island Centre, University of British Columbia, Victoria, BC (Canada); Alexander, Cheryl S. [Breast Cancer Outcomes Unit, British Columbia Cancer Agency, Vancouver Island Centre, University of British Columbia, Victoria, BC (Canada); Shenouda, Mina; Raad, Rita Abi; Taghian, Alphonse G. [Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts (United States)

    2014-01-01

    Purpose: To examine locoregional and distant recurrence (LRR and DR) in women with pT1-2N0 breast cancer according to approximated subtype and clinicopathologic characteristics. Methods and Materials: Two independent datasets were pooled and analyzed. The study participants were 1994 patients with pT1-2N0M0 breast cancer, treated with mastectomy without radiation therapy. The patients were classified into 1 of 5 subtypes: luminal A (ER+ or PR+/HER 2−/grade 1-2, n=1202); luminal B (ER+ or PR+/HER 2−/grade 3, n=294); luminal HER 2 (ER+ or PR+/HER 2+, n=221); HER 2 (ER−/PR−/HER 2+, n=105) and triple-negative breast cancer (TNBC) (ER−/PR−/HER 2−, n=172). Results: The median follow-up time was 4.3 years. The 5-year Kaplan-Meier (KM) LRR were 1.8% in luminal A, 3.1% in luminal B, 1.7% in luminal HER 2, 1.9% in HER 2, and 1.9% in TNBC cohorts (P=.81). The 5-year KM DR was highest among women with TNBC: 1.8% in luminal A, 5.0% in luminal B, 2.4% in luminal HER 2, 1.1% in HER 2, and 9.6% in TNBC cohorts (P<.001). Among 172 women with TNBC, the 5-year KM LRR were 1.3% with clear margins versus 12.5% with close or positive margins (P=.04). On multivariable analysis, factors that conferred higher LRR risk were tumors >2 cm, lobular histology, and close/positive surgical margins. Conclusions: The 5-year risk of LRR in our pT1-2N0 cohort treated with mastectomy was generally low, with no significant differences observed between approximated subtypes. Among the subtypes, TNBC conferred the highest risk of DR and an elevated risk of LRR in the presence of positive or close margins. Our data suggest that although subtype alone cannot be used as the sole criterion to offer postmastectomy radiation therapy, it may reasonably be considered in conjunction with other clinicopathologic factors including tumor size, histology, and margin status. Larger cohorts and longer follow-up times are needed to define which women with node-negative disease have high postmastectomy LRR

  6. Is Biological Subtype Prognostic of Locoregional Recurrence Risk in Women With pT1-2N0 Breast Cancer Treated With Mastectomy?

    International Nuclear Information System (INIS)

    Truong, Pauline T.; Sadek, Betro T.; Lesperance, Maria F.; Alexander, Cheryl S.; Shenouda, Mina; Raad, Rita Abi; Taghian, Alphonse G.

    2014-01-01

    Purpose: To examine locoregional and distant recurrence (LRR and DR) in women with pT1-2N0 breast cancer according to approximated subtype and clinicopathologic characteristics. Methods and Materials: Two independent datasets were pooled and analyzed. The study participants were 1994 patients with pT1-2N0M0 breast cancer, treated with mastectomy without radiation therapy. The patients were classified into 1 of 5 subtypes: luminal A (ER+ or PR+/HER 2−/grade 1-2, n=1202); luminal B (ER+ or PR+/HER 2−/grade 3, n=294); luminal HER 2 (ER+ or PR+/HER 2+, n=221); HER 2 (ER−/PR−/HER 2+, n=105) and triple-negative breast cancer (TNBC) (ER−/PR−/HER 2−, n=172). Results: The median follow-up time was 4.3 years. The 5-year Kaplan-Meier (KM) LRR were 1.8% in luminal A, 3.1% in luminal B, 1.7% in luminal HER 2, 1.9% in HER 2, and 1.9% in TNBC cohorts (P=.81). The 5-year KM DR was highest among women with TNBC: 1.8% in luminal A, 5.0% in luminal B, 2.4% in luminal HER 2, 1.1% in HER 2, and 9.6% in TNBC cohorts (P 2 cm, lobular histology, and close/positive surgical margins. Conclusions: The 5-year risk of LRR in our pT1-2N0 cohort treated with mastectomy was generally low, with no significant differences observed between approximated subtypes. Among the subtypes, TNBC conferred the highest risk of DR and an elevated risk of LRR in the presence of positive or close margins. Our data suggest that although subtype alone cannot be used as the sole criterion to offer postmastectomy radiation therapy, it may reasonably be considered in conjunction with other clinicopathologic factors including tumor size, histology, and margin status. Larger cohorts and longer follow-up times are needed to define which women with node-negative disease have high postmastectomy LRR risks in contemporary practice

  7. Breast Cancer Prevention

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Prevention (PDQ®)–Patient Version What is prevention? Go ... from starting. Risk-reducing surgery . General Information About Breast Cancer Key Points Breast cancer is a disease in ...

  8. A signature of epithelial-mesenchymal plasticity and stromal activation in primary tumor modulates late recurrence in breast cancer independent of disease subtype.

    Science.gov (United States)

    Cheng, Qing; Chang, Jeffrey T; Gwin, William R; Zhu, Jun; Ambs, Stefan; Geradts, Joseph; Lyerly, H Kim

    2014-07-25

    Despite improvements in adjuvant therapy, late systemic recurrences remain a lethal consequence of both early- and late-stage breast cancer. A delayed recurrence is thought to arise from a state of tumor dormancy, but the mechanisms that govern tumor dormancy remain poorly understood. To address the features of breast tumors associated with late recurrence, but not confounded by variations in systemic treatment, we compiled breast tumor gene expression data from 4,767 patients and established a discovery cohort consisting of 743 lymph node-negative patients who did not receive systemic neoadjuvant or adjuvant therapy. We interrogated the gene expression profiles of the 743 tumors and identified gene expression patterns that were associated with early and late disease recurrence among these patients. We applied this classification to a subset of 46 patients for whom expression data from microdissected tumor epithelium and stroma was available, and identified a distinct gene signature in the stroma and also a corresponding tumor epithelium signature that predicted disease recurrence in the discovery cohort. This tumor epithelium signature was then validated as a predictor for late disease recurrence in the entire cohort of 4,767 patients. We identified a novel 51-gene signature from microdissected tumor epithelium associated with late disease recurrence in breast cancer independent of the molecular disease subtype. This signature correlated with gene expression alterations in the adjacent tumor stroma and describes a process of epithelial to mesenchymal transition (EMT) and tumor-stroma interactions. Our findings suggest that an EMT-related gene signature in the tumor epithelium is related to both stromal activation and escape from disease dormancy in breast cancer. The presence of a late recurrence gene signature in the primary tumor also suggests that intrinsic features of this tumor regulate the transition of disseminated tumor cells into a dormant phenotype with

  9. Breast cancer

    OpenAIRE

    Gablerová, Pavlína

    2010-01-01

    In this work the topic of breast cancer treated more generally and mainly focused on risk factors for the development. The theoretical part describes the general knowledge about breast cancer as a stage or treatment. The practical part is to have clarified the risk factors that have some bearing on the diagnosis of breast cancer. What level are involved in the probability of occurrence? Can we eliminate them? As a comparison of risk factors examined in the Czech Republic, England, Australia a...

  10. Breast Cancer: Treatment Options

    Science.gov (United States)

    ... Breast Cancer > Breast Cancer: Treatment Options Request Permissions Breast Cancer: Treatment Options Approved by the Cancer.Net Editorial ... can be addressed as quickly as possible. Recurrent breast cancer If the cancer does return after treatment for ...

  11. Breast cancer screening

    Science.gov (United States)

    Mammogram - breast cancer screening; Breast exam - breast cancer screening; MRI - breast cancer screening ... is performed to screen women to detect early breast cancer when it is more likely to be cured. ...

  12. Stages of Breast Cancer

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Treatment (PDQ®)–Patient Version General Information About Breast Cancer Go to Health Professional Version Key Points Breast ...

  13. Breast Cancer Treatment

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Treatment (PDQ®)–Patient Version General Information About Breast Cancer Go to Health Professional Version Key Points Breast ...

  14. Triple-negative breast cancer: the importance of molecular and histologic subtyping, and recognition of low-grade variants.

    Science.gov (United States)

    Pareja, Fresia; Geyer, Felipe C; Marchiò, Caterina; Burke, Kathleen A; Weigelt, Britta; Reis-Filho, Jorge S

    2016-01-01

    Triple-negative breast cancers (TNBCs), defined by lack of expression of estrogen receptor, progesterone receptor and HER2, account for 12-17% of breast cancers and are clinically perceived as a discrete breast cancer subgroup. Nonetheless, TNBC has been shown to constitute a vastly heterogeneous disease encompassing a wide spectrum of entities with marked genetic, transcriptional, histological and clinical differences. Although most TNBCs are high-grade tumors, there are well-characterized low-grade TNBCs that have an indolent clinical course, whose natural history, molecular features and optimal therapy vastly differ from those of high-grade TNBCs. Secretory and adenoid cystic carcinomas are two histologic types of TNBCs underpinned by specific fusion genes; these tumors have an indolent clinical behavior and lack all of the cardinal molecular features of high-grade triple-negative disease. Recent studies of rare entities, including lesions once believed to constitute mere benign breast disease (e.g., microglandular adenosis), have resulted in the identification of potential precursors of TNBC and suggested the existence of a family of low-grade triple-negative lesions that, despite having low-grade morphology and indolent clinical behavior, have been shown to harbor the complex genomic landscape of common forms of TNBC, and may progress to high-grade disease. In this review, we describe the heterogeneity of TNBC and focus on the histologic and molecular features of low-grade forms of TNBC. Germane to addressing the challenges posed by the so-called triple-negative disease is the realization that TNBC is merely a descriptive term, and that low-grade types of TNBC may be driven by distinct sets of genetic alterations.

  15. Neoplastic and stromal cells contribute to an extracellular matrix gene expression profile defining a breast cancer subtype likely to progress.

    Directory of Open Access Journals (Sweden)

    Tiziana Triulzi

    key relevance of neoplastic and stroma interaction in breast cancer progression.

  16. Breast cancer

    International Nuclear Information System (INIS)

    Tokunaga, Masayoshi

    1992-01-01

    More than 20-year follow-up of A-bomb survivors in Hiroshima and Nagasaki has a crucial role in determining the relationship of radiation to the occurrence of breast cancer. In 1967, Wanebo et al have first reported 27 cases of breast cancer during the period 1950-1966 among the Adult Health Study population of A-bomb survivors. Since then, follow-up surveys for breast cancer have been made using the Life Span Study (LSS) cohort, and the incidence of breast cancer has increased year by year; that is breast cancer was identified in 231 cases by the first LSS series (1950-1969), 360 cases by the second LSS series (1950-1974), 564 cases by the third LSS series (1950-1980), and 816 cases in the fourth LSS series (1950-1085). The third LSS series have revealed a high risk for radiation-induced breast cancer in women aged 10 or less at the time of exposure (ATE). Both relative and absolute risks are found to be decreased with increasing ages ATE. Based on the above-mentioned findings and other studies on persons exposed medical radiation, radiation-induced breast cancer is characterized by the following: (1) the incidence of breast cancer is linearly increased with increasing radiation doses; (2) both relative and absolute risks for breast cancer are high in younger persons ATE; (3) age distribution of breast cancer in proximally exposed A-bomb survivors is the same as that in both distally A-bomb survivors and non-exposed persons, and there is no difference in histology between the former and latter groups. Thus, immature mammary gland cells before the age of puberty are found to be most radiosensitive. (N.K.)

  17. Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes.

    Science.gov (United States)

    Yaghjyan, Lusine; Tamimi, Rulla M; Bertrand, Kimberly A; Scott, Christopher G; Jensen, Matthew R; Pankratz, V Shane; Brandt, Kathy; Visscher, Daniel; Norman, Aaron; Couch, Fergus; Shepherd, John; Fan, Bo; Chen, Yunn-Yi; Ma, Lin; Beck, Andrew H; Cummings, Steven R; Kerlikowske, Karla; Vachon, Celine M

    2017-09-01

    We examined the associations of mammographic breast density with breast cancer risk by tumor aggressiveness and by menopausal status and current postmenopausal hormone therapy. This study included 2596 invasive breast cancer cases and 4059 controls selected from participants of four nested case-control studies within four established cohorts: the Mayo Mammography Health Study, the Nurses' Health Study, Nurses' Health Study II, and San Francisco Mammography Registry. Percent breast density (PD), absolute dense (DA), and non-dense areas (NDA) were assessed from digitized film-screen mammograms using a computer-assisted threshold technique and standardized across studies. We used polytomous logistic regression to quantify the associations of breast density with breast cancer risk by tumor aggressiveness (defined as presence of at least two of the following tumor characteristics: size ≥2 cm, grade 2/3, ER-negative status, or positive nodes), stratified by menopausal status and current hormone therapy. Overall, the positive association of PD and borderline inverse association of NDA with breast cancer risk was stronger in aggressive vs. non-aggressive tumors (≥51 vs. 11-25% OR 2.50, 95% CI 1.94-3.22 vs. OR 2.03, 95% CI 1.70-2.43, p-heterogeneity = 0.03; NDA 4th vs. 2nd quartile OR 0.54, 95% CI 0.41-0.70 vs. OR 0.71, 95% CI 0.59-0.85, p-heterogeneity = 0.07). However, there were no differences in the association of DA with breast cancer by aggressive status. In the stratified analysis, there was also evidence of a stronger association of PD and NDA with aggressive tumors among postmenopausal women and, in particular, current estrogen+progesterone users (≥51 vs. 11-25% OR 3.24, 95% CI 1.75-6.00 vs. OR 1.93, 95% CI 1.25-2.98, p-heterogeneity = 0.01; NDA 4th vs. 2nd quartile OR 0.43, 95% CI 0.21-0.85 vs. OR 0.56, 95% CI 0.35-0.89, p-heterogeneity = 0.01), even though the interaction was not significant. Our findings suggest that associations of mammographic

  18. Intrinsic subtypes and tumor grades in breast cancer are associated with distinct 3-D power Doppler sonographic vascular features

    International Nuclear Information System (INIS)

    Chang, Yeun-Chung; Huang, Yao-Sian; Huang, Chiun-Sheng; Chen, Jeon-Hor; Chang, Ruey-Feng

    2014-01-01

    Purpose: This study aimed to investigate the three-dimensional (3-D) power Doppler ultrasonographic (PDUS) vascular features of breast carcinoma according to intrinsic subtypes, nodal stage, and tumor grade. Materials and methods: Total 115 receiving mastectomy breast carcinomas (mean size, 2.5 cm; range, 0.7–6.5 cm), including 102 invasive ductal carcinomas (IDC), 10 ductal carcinomas in situ (DCIS), and 3 invasive lobular carcinomas (ILC) diagnosed after mastectomy, were used in this retrospective study. Sixty IDC had nodal status and histopathologic tumor grades available for analysis. Vascular features, including number of vascular trees (NV), longest path length (LPL), total vessel length (TVL), number of bifurcations (NB), distance metric (DM), inflection count metric (ICM), vessel diameter (VD), and vessel-to-volume ratio (VVR) were extracted using 3-D thinning method. The Mann–Whitney U test, Student's t-test, one-way ANOVA, and Kruskal–Wallis test were performed as appropriate. Results: There was no significant difference of vascular features among IDC, DCIS and ILC. Except VD, vascular features in luminal type were significantly lower compared to HER2-enriched or triple negative types (p < 0.05). Compared to ER+ (estrogen receptor positive) tumors, all features in ER− (estrogen receptor negative) tumors were significantly higher (p < 0.01). Despite some significantly higher vascular features in high grade IDC compared to low and intermediate grade, there was no significant correlation between vascular features and nodal stages. Conclusion: Differences in 3-D PDUS vascular features among intrinsic types of IDC are attributed to their ER status. Vascular features extracted by 3-D PDUS correlate with tumor grades but not nodal stage in IDC

  19. Intrinsic subtypes and tumor grades in breast cancer are associated with distinct 3-D power Doppler sonographic vascular features

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Yeun-Chung [Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 10041, Taiwan, ROC (China); Huang, Yao-Sian [Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan, ROC (China); Huang, Chiun-Sheng [Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 10041, Taiwan, ROC (China); Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan, ROC (China); Chen, Jeon-Hor [Center for Functional Onco-Imaging and Department of Radiological Science, University of California Irvine, California, CA 92868 (United States); Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung 82445, Taiwan, ROC (China); Chang, Ruey-Feng, E-mail: rfchang@csie.ntu.edu.tw [Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan, ROC (China); Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan, ROC (China)

    2014-08-15

    Purpose: This study aimed to investigate the three-dimensional (3-D) power Doppler ultrasonographic (PDUS) vascular features of breast carcinoma according to intrinsic subtypes, nodal stage, and tumor grade. Materials and methods: Total 115 receiving mastectomy breast carcinomas (mean size, 2.5 cm; range, 0.7–6.5 cm), including 102 invasive ductal carcinomas (IDC), 10 ductal carcinomas in situ (DCIS), and 3 invasive lobular carcinomas (ILC) diagnosed after mastectomy, were used in this retrospective study. Sixty IDC had nodal status and histopathologic tumor grades available for analysis. Vascular features, including number of vascular trees (NV), longest path length (LPL), total vessel length (TVL), number of bifurcations (NB), distance metric (DM), inflection count metric (ICM), vessel diameter (VD), and vessel-to-volume ratio (VVR) were extracted using 3-D thinning method. The Mann–Whitney U test, Student's t-test, one-way ANOVA, and Kruskal–Wallis test were performed as appropriate. Results: There was no significant difference of vascular features among IDC, DCIS and ILC. Except VD, vascular features in luminal type were significantly lower compared to HER2-enriched or triple negative types (p < 0.05). Compared to ER+ (estrogen receptor positive) tumors, all features in ER− (estrogen receptor negative) tumors were significantly higher (p < 0.01). Despite some significantly higher vascular features in high grade IDC compared to low and intermediate grade, there was no significant correlation between vascular features and nodal stages. Conclusion: Differences in 3-D PDUS vascular features among intrinsic types of IDC are attributed to their ER status. Vascular features extracted by 3-D PDUS correlate with tumor grades but not nodal stage in IDC.

  20. The role of postmastectomy radiotherapy in different molecular subtypes of breast cancer patients with T1 - T2 and one to three positive axillary nodes

    International Nuclear Information System (INIS)

    Wang Hao; Luo Yangkun; Wang Jie; Peng Ying; Wen Hao; Wang Weidong; Lang Jinyi

    2011-01-01

    Objective: To analyze the role of postmastectomy radiotherapy in different molecular subtypes of breast cancer patients with Stage T 1 -T 2 and one to three positive axillary nodes. Methods: A total of 436 breast cancer patients with T 1 -T 2 and one to three positive axillary lymph nodes treated with mastectomy and axillary dissection were retrospectively analyzed. Patients were grouped as the following four subtypes:Luminal A, Luminal B, Her 2 + and triple-negative. The local recurrence (LR), distant metastasis ( DM ), disease free survival (DFS) and overall survival (OS) rates were compared between patients with or without radiotherapy in univariate analyses. Multivariate analyses for LR were performed. Results: The follow-up rate was 86. 0%. In patients with Luminal A subtype, radiotherapy decreased the 5-year LR rate (4.6% vs 15.8%, χ 2 =5.74, P=0.017) but had no influences on DM, DFS or OS rates (17.2% vs 19.7%, χ 2 =0.17, P=0.682; 77.0% vs 67.1%, χ 2 =1.99, P=0.158 or 87.4% : 85.5%, χ 2 =0.12, P=0.733). In patients with Luminal B subtype, radiotherapy decreased the 5-year LR rate (3.7% vs 12. 1%, χ 2 =4.13, P =0.042), increased DFS and OS (84.0% vs 57.6% (χ 2 =14.61, P =0.000) and 91.4% vs 70. 7% (χ 2 =11.87, P =0.001), but had no influence on DM (12.3% vs 22.2%, χ 2 =2.97, P =0.085). In patients with Her 2 + subtype, radiotherapy decreased the 5-year LR rate (5.6% vs 31.0%, χ 2 =4.31, P=0.035) , increased DFS (61.1% vs 13.8%, χ 2 =11.44, P=0.001) ,but had no influence on DM and OS (27.8% vs 41.4%, χ 2 =0.89, P =0.345 and 66.7% vs 48.3%, χ 2 =1.52, P =0.218). In patients with triple-negative subtype, radiotherapy had no influence in LR, DM, DFS or OS (8.7% vs 26.1%, χ 2 =2.42, P=0.120; 39.1% vs 47.8%, χ 2 =0.35, P=0.552; 52.2% vs 26.1%, χ 2 =3.29, P =0.070 or 65.2% vs 56.5%, χ 2 =0.37, P =0.546). Tumor size and radiotherapy were independent prognostic factors for LR rate in multivariate analyses (χ 2 =4.76, P =0.029 and χ 2 =8.06, P =0

  1. Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome

    DEFF Research Database (Denmark)

    Aure, Miriam Ragle; Vitelli, Valeria; Jernström, Sandra

    2017-01-01

    subtypes revealed six major groups. Five corresponded well with the mRNA subtypes, while a sixth group resulted from a split of the luminal A subtype; these tumors belonged to distinct microRNA clusters. Gain-of-function studies using MCF-7 cells showed that microRNAs differentially expressed between...

  2. Breast cancer

    CERN Multimedia

    2002-01-01

    "Cancer specialists will soon be able to compare mammograms with computerized images of breast cancer from across Europe, in a bid to improve diagnosis and treatment....The new project, known as MammoGrid, brings together computer and medical imaging experts, cancer specialists, radiologists and epidemiologists from Bristol, Oxford, Cambridge, France and Italy" (1 page).

  3. 6 Common Cancers - Breast Cancer

    Science.gov (United States)

    ... Home Current Issue Past Issues 6 Common Cancers - Breast Cancer Past Issues / Spring 2007 Table of Contents For ... slow her down. Photo: AP Photo/Brett Flashnick Breast Cancer Breast cancer is a malignant (cancerous) growth that ...

  4. Breast cancer

    International Nuclear Information System (INIS)

    Delgado, L.; Krygier, G.; Castillo, C.

    2009-01-01

    This article is about the diagnosis, treatment and monitoring of breast cancer. Positive diagnosis is based on clinical mammary exam, mammography, mammary ultrasonography, and histological study. Before the chemotherapy and radiotherapy treatment are evaluated the risks

  5. Breast Cancer

    Science.gov (United States)

    ... modulators and aromatase inhibitors, reduce the risk of breast cancer in women with a high risk of the disease. These medications carry a risk of side effects, so doctors reserve these medications for women who ...

  6. Common breast cancer susceptibility loci are associated with triple negative breast cancer

    Science.gov (United States)

    Stevens, Kristen N.; Vachon, Celine M.; Lee, Adam M.; Slager, Susan; Lesnick, Timothy; Olswold, Curtis; Fasching, Peter A.; Miron, Penelope; Eccles, Diana; Carpenter, Jane E.; Godwin, Andrew K.; Ambrosone, Christine; Winqvist, Robert; Schmidt, Marjanka K.; Cox, Angela; Cross, Simon S.; Sawyer, Elinor; Hartmann, Arndt; Beckmann, Matthias W.; Schulz-Wendtland, Rüdiger; Ekici, Arif B.; Tapper, William J; Gerty, Susan M; Durcan, Lorraine; Graham, Nikki; Hein, Rebecca; Nickels, Stephan; Flesch-Janys, Dieter; Heinz, Judith; Sinn, Hans-Peter; Konstantopoulou, Irene; Fostira, Florentia; Pectasides, Dimitrios; Dimopoulos, Athanasios M.; Fountzilas, George; Clarke, Christine L.; Balleine, Rosemary; Olson, Janet E.; Fredericksen, Zachary; Diasio, Robert B.; Pathak, Harsh; Ross, Eric; Weaver, JoEllen; Rüdiger, Thomas; Försti, Asta; Dünnebier, Thomas; Ademuyiwa, Foluso; Kulkarni, Swati; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Ko, Yon-Dschun; Van Limbergen, Erik; Janssen, Hilde; Peto, Julian; Fletcher, Olivia; Giles, Graham G.; Baglietto, Laura; Verhoef, Senno; Tomlinson, Ian; Kosma, Veli-Matti; Beesley, Jonathan; Greco, Dario; Blomqvist, Carl; Irwanto, Astrid; Liu, Jianjun; Blows, Fiona M.; Dawson, Sarah-Jane; Margolin, Sara; Mannermaa, Arto; Martin, Nicholas G.; Montgomery, Grant W; Lambrechts, Diether; dos Santos Silva, Isabel; Severi, Gianluca; Hamann, Ute; Pharoah, Paul; Easton, Douglas F.; Chang-Claude, Jenny; Yannoukakos, Drakoulis; Nevanlinna, Heli; Wang, Xianshu; Couch, Fergus J.

    2012-01-01

    Triple negative breast cancers are an aggressive subtype of breast cancer with poor survival, but there remains little known about the etiological factors which promote its initiation and development. Commonly inherited breast cancer risk factors identified through genome wide association studies (GWAS) display heterogeneity of effect among breast cancer subtypes as defined by estrogen receptor (ER) and progesterone receptor (PR) status. In the Triple Negative Breast Cancer Consortium (TNBCC), 22 common breast cancer susceptibility variants were investigated in 2,980 Caucasian women with triple negative breast cancer and 4,978 healthy controls. We identified six single nucleotide polymorphisms (SNPs) significantly associated with risk of triple negative breast cancer, including rs2046210 (ESR1), rs12662670 (ESR1), rs3803662 (TOX3), rs999737 (RAD51L1), rs8170 (19p13.11) and rs8100241 (19p13.11). Together, our results provide convincing evidence of genetic susceptibility for triple negative breast cancer. PMID:21844186

  7. Elevated Levels of Serum Tumor Markers CEA and CA15-3 Are Prognostic Parameters for Different Molecular Subtypes of Breast Cancer

    OpenAIRE

    Shao, Yingbo; Sun, Xianfu; He, Yaning; Liu, Chaojun; Liu, Hui

    2015-01-01

    Background & Aims The utility of measuring carcinoembryonic antigen(CEA) and cancer antigen 15-3 (CA15-3) levels in patients with breast cancer remains controversial. The present study aims to investigate the prognostic value of preoperative serum CEA and CA15-3 levels in breast cancer patients. Methods Serum preoperative CEA and CA 15-3 concentration levels were measured in a total of 432 breast cancer patients. The association of tumor markers levels with clinicopathological parameters and ...

  8. S100A14 is a novel independent prognostic biomarker in the triple-negative breast cancer subtype

    DEFF Research Database (Denmark)

    Ehmsen, Sidse; Hansen, Lea Tykgaard; Bak, Martin

    2015-01-01

    Triple-negative breast cancer (TNBC) represents a heterogeneous subgroup with generally poor outcome and lack of an effective targeted therapy. Prognostic or predictive biomarkers to guide treatment decisions for this group of patients are needed. To evaluate the potential of S100A14 protein...... as a novel biomarker in TNBC, the protein expression of S100A14 was correlated with clinical outcomes in a Pilot Sample set and a Danish cohort of predominantly TNBC patients. Kaplan-Meier analysis identified a prognostic impact of S100A14 on disease-free survival and overall survival, showing that tumors......-), had equally poor outcomes as those with tumor-positive axillary lymph nodes (N+), while TNBC/N- patients with low S100A14 expression had a significantly better disease free survival (p = 0.013). Multivariate analysis revealed that S100A14 is an independent prognostic factor for TNBC patients (p = 0...

  9. {sup 18}F-FDG PET/CT in the early prediction of pathological response in aggressive subtypes of breast cancer: review of the literature and recommendations for use in clinical trials

    Energy Technology Data Exchange (ETDEWEB)

    Groheux, David [Saint-Louis Hospital, Department of Nuclear Medicine, Paris Cedex 10 (France); INSERM/CNRS UMR944/7212, University Paris-Diderot, PRES Paris Cite, Paris (France); Mankoff, David [University of Pennsylvania Perelman School of Medicine, Department of Radiology, Philadelphia (United States); Espie, Marc [INSERM/CNRS UMR944/7212, University Paris-Diderot, PRES Paris Cite, Paris (France); Saint-Louis Hospital, Department of Medical Oncology, Breast Diseases Centre, Paris (France); Hindie, Elif [University of Bordeaux, Department of Nuclear Medicine, Haut-Leveque Hospital, Bordeaux (France)

    2016-05-15

    Early assessment of response to neoadjuvant chemotherapy (NAC) might be helpful in avoiding the toxicity of ineffective chemotherapy and allowing refinement of treatment. We conducted a review of the literature regarding the applicability of {sup 18}F-FDG PET/CT to the prediction of an early pathological response in different subgroups of breast cancer. Clinical research in this field has intensified in the last few years. Early studies by various groups have shown the potential of {sup 18}F-FDG PET/CT in the early assessment of response to NAC. However, interim PET/CT in breast cancer has not yet gained wide acceptance compared to its use in other settings such as lymphomas. This is in part due to a lack of consensus that early evaluation of response can be used to direct change in therapy in the neoadjuvant breast cancer setting, and only limited data showing that response-adaptive therapy leads to improved outcomes. However, one major element that has hampered the use of {sup 18}F-FDG PET/CT in directing neoadjuvant therapy is its evaluation in populations with mixed subtypes of breast cancer. However, major improvements have occurred in recent years. Pilot studies have highlighted the need for considering breast cancer subtype and the type of treatment, and have offered criteria for the use of PET/CT for the early prediction of response in specific settings. {sup 18}F-FDG PET/CT has considerable potential for the early prediction of pathological complete response to NAC in aggressive subtypes such as triple-negative or HER2-positive breast cancers. The results of a multicentre trial that used early metabolic response on {sup 18}F-FDG PET/CT as a means to select poor responders to adapt neoadjuvant treatment have recently been published. Other trials are ongoing or being planned. (orig.)

  10. Prognosis value of molecular sub-types in breast cancers free of ganglionary invasion after mastectomy and impact of radiotherapy; Valeur pronostique des sous-types moleculaires dans les cancers du sein indemnes d'envahissement ganglionnaire apres mastectomie et impact de la radiotherapie

    Energy Technology Data Exchange (ETDEWEB)

    Selz, J.; Stevens, D.; Jouanneau, L.; Labib, A.; Le Scodan, R. [Hopital Rene-Huguenin, Saint-Cloud (France)

    2011-10-15

    The authors report the assessment of the prognosis value in terms of local control of molecular subtypes in patients suffering from breast cancer without ganglionary invasion, and of their predictive value for adjuvant irradiation. Medical files of nearly 700 patients have been analyzed. Some had an irradiation after mastectomy, some hadn't. The distribution of molecular sub-types is indicated, and the relationship with relapse is examined. The different molecular sub-types do not allow sub-groups with high risk of relapse to be defined. Breast cancers of stage pN0 after mastectomy seem to have a very good prognosis. Short communication

  11. Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes.

    Science.gov (United States)

    Taube, Joseph H; Herschkowitz, Jason I; Komurov, Kakajan; Zhou, Alicia Y; Gupta, Supriya; Yang, Jing; Hartwell, Kimberly; Onder, Tamer T; Gupta, Piyush B; Evans, Kurt W; Hollier, Brett G; Ram, Prahlad T; Lander, Eric S; Rosen, Jeffrey M; Weinberg, Robert A; Mani, Sendurai A

    2010-08-31

    The epithelial-to-mesenchymal transition (EMT) produces cancer cells that are invasive, migratory, and exhibit stem cell characteristics, hallmarks of cells that have the potential to generate metastases. Inducers of the EMT include several transcription factors (TFs), such as Goosecoid, Snail, and Twist, as well as the secreted TGF-beta1. Each of these factors is capable, on its own, of inducing an EMT in the human mammary epithelial (HMLE) cell line. However, the interactions between these regulators are poorly understood. Overexpression of each of the above EMT inducers up-regulates a subset of other EMT-inducing TFs, with Twist, Zeb1, Zeb2, TGF-beta1, and FOXC2 being commonly induced. Up-regulation of Slug and FOXC2 by either Snail or Twist does not depend on TGF-beta1 signaling. Gene expression signatures (GESs) derived by overexpressing EMT-inducing TFs reveal that the Twist GES and Snail GES are the most similar, although the Goosecoid GES is the least similar to the others. An EMT core signature was derived from the changes in gene expression shared by up-regulation of Gsc, Snail, Twist, and TGF-beta1 and by down-regulation of E-cadherin, loss of which can also trigger an EMT in certain cell types. The EMT core signature associates closely with the claudin-low and metaplastic breast cancer subtypes and correlates negatively with pathological complete response. Additionally, the expression level of FOXC1, another EMT inducer, correlates strongly with poor survival of breast cancer patients.

  12. Hereditary breast cancer

    DEFF Research Database (Denmark)

    Larsen, Martin J; Thomassen, Mads; Gerdes, Anne-Marie

    2014-01-01

    Pathogenic mutations in BRCA1 or BRCA2 are only detected in 25% of families with a strong history of breast cancer, though hereditary factors are expected to be involved in the remaining families with no recognized mutation. Molecular characterization is expected to provide new insight...... into the tumor biology to guide the search of new high-risk alleles and provide better classification of the growing number of BRCA1/2 variants of unknown significance (VUS). In this review, we provide an overview of hereditary breast cancer, its genetic background, and clinical implications, before focusing...... on the pathologically and molecular features associated with the disease. Recent transcriptome and genome profiling studies of tumor series from BRCA1/2 mutation carriers as well as familial non-BRCA1/2 will be discussed. Special attention is paid to its association with molecular breast cancer subtypes as well...

  13. Common breast cancer susceptibility alleles are associated with tumor subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2

    DEFF Research Database (Denmark)

    Mulligan, Anna Marie; Couch, Fergus J; Barrowdale, Daniel

    2011-01-01

    BRCA1 carriers, SNP rs2981582 (FGFR2) exhibited the biggest difference based on ER status (per-allele HR for ER-positive=1.35, 95%CI:1.17-1.56 vs HR=0.91, 95%CI:0.85-0.98 for ER-negative, P-heterogeneity=6.5e-6). In contrast, SNP rs2046210 at 6q25.1 near ESR1 was primarily associated with ER...... subtypes. As more risk modifying variants are identified, incorporating these associations into breast cancer subtype-specific risk models may improve clinical management for mutation carriers....

  14. Inflammatory Breast Cancer

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... white women. Inflammatory breast tumors are frequently hormone receptor negative, which means they cannot be treated with ...

  15. Quantitative proteomics and transcriptomics addressing the estrogen receptor subtype-mediated effects in T47D breast cancer cells exposed to the phytoestrogen genistein

    NARCIS (Netherlands)

    Sotoca Covaleda, A.M.; Sollewijn Gelpke, M.D.; Boeren, S.; Ström, A.; Gustafsson, J.A.; Murk, A.J.; Rietjens, I.M.C.M.; Vervoort, J.J.M.

    2011-01-01

    The present study addresses, by transcriptomics and quantitative SILAC-based proteomics, the estrogen receptor alpha (ER) and beta (ERß)-mediated effects on gene and protein expression in T47D breast cancer cells exposed to the phytoestrogen genistein. Using the T47D human breast cancer cell line

  16. Breast Conservation Therapy: The Influence of Molecular Subtype and Margins

    International Nuclear Information System (INIS)

    Demirci, Senem; Broadwater, Gloria; Marks, Lawrence B.; Clough, Robert; Prosnitz, Leonard R.

    2012-01-01

    Purpose: To evaluate treatment results and prognostic factors, especially margin status and molecular subtype, in early-stage breast cancer patients treated with breast conservation therapy (BCT). Methods and Materials: The records of 1,058 Stage I or II breast cancer patients treated with BCT (surgical excision plus radiotherapy) at Duke University Medical Center, Durham, North Carolina, from 1985–2005 were retrospectively reviewed. Conventional receptor analyses were used as surrogate markers for molecular subtype classification (luminal A, luminal B, Her2 positive, and basal like). Actuarial estimates of overall survival (OS), cause-specific survival (CSS), failure-free survival, and locoregional control (LRC) were computed by use of Kaplan-Meier plots. We analyzed prognostic variables for significance using Cox proportional hazards univariate and multivariate analysis. The study was approved by the Duke University Medical Center Institutional Review Board. Results: The median age of the patients was 56 years (range, 18–89 years). Of the patients, 80% had T1 disease and 66% N0 disease pathologically. With a median follow-up of 9.8 years, an in-breast recurrence developed in 53 patients and 10 patients had nodal failure. For all patients, the 10-year CSS rate was 94%; LRC rate, 94%; and failure-free survival rate, 88%. Luminal A patients had a CSS rate of 95% and LRC rate of 99%. Basal-type patients appeared to do worse, with regard to both CSS rate (74%) and LRC rate (76%), but the numbers were small and the difference was not statistically significant. LRC rates of patients with negative margins (widely negative, close, and extent of margin not known) were virtually identical (93%, 96%, and 94%, respectively). Those with positive margins appeared to fare slightly worse based on LRC rate (88%), but again, the numbers were small and the difference was not statistically significant. Conclusions: BCT remains the treatment of choice for early-stage breast cancer

  17. Breast Conservation Therapy: The Influence of Molecular Subtype and Margins

    Energy Technology Data Exchange (ETDEWEB)

    Demirci, Senem, E-mail: senem.demirci@ege.edu.tr [Department of Radiation Oncology, Duke University Medical Center, Durham, NC (United States); Department of Radiation Oncology, Ege University Faculty of Medicine, Izmir (Turkey); Broadwater, Gloria [Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC (United States); Cancer and Leukemia Group B Statistical Center, Duke Cancer Institute, Durham, NC (United States); Marks, Lawrence B. [Department of Radiation Oncology, University of North Carolina School of Medicine, Chapel Hill, NC (United States); Clough, Robert; Prosnitz, Leonard R. [Department of Radiation Oncology, Duke University Medical Center, Durham, NC (United States)

    2012-07-01

    Purpose: To evaluate treatment results and prognostic factors, especially margin status and molecular subtype, in early-stage breast cancer patients treated with breast conservation therapy (BCT). Methods and Materials: The records of 1,058 Stage I or II breast cancer patients treated with BCT (surgical excision plus radiotherapy) at Duke University Medical Center, Durham, North Carolina, from 1985-2005 were retrospectively reviewed. Conventional receptor analyses were used as surrogate markers for molecular subtype classification (luminal A, luminal B, Her2 positive, and basal like). Actuarial estimates of overall survival (OS), cause-specific survival (CSS), failure-free survival, and locoregional control (LRC) were computed by use of Kaplan-Meier plots. We analyzed prognostic variables for significance using Cox proportional hazards univariate and multivariate analysis. The study was approved by the Duke University Medical Center Institutional Review Board. Results: The median age of the patients was 56 years (range, 18-89 years). Of the patients, 80% had T1 disease and 66% N0 disease pathologically. With a median follow-up of 9.8 years, an in-breast recurrence developed in 53 patients and 10 patients had nodal failure. For all patients, the 10-year CSS rate was 94%; LRC rate, 94%; and failure-free survival rate, 88%. Luminal A patients had a CSS rate of 95% and LRC rate of 99%. Basal-type patients appeared to do worse, with regard to both CSS rate (74%) and LRC rate (76%), but the numbers were small and the difference was not statistically significant. LRC rates of patients with negative margins (widely negative, close, and extent of margin not known) were virtually identical (93%, 96%, and 94%, respectively). Those with positive margins appeared to fare slightly worse based on LRC rate (88%), but again, the numbers were small and the difference was not statistically significant. Conclusions: BCT remains the treatment of choice for early-stage breast cancer

  18. Breast Cancer Overview

    Science.gov (United States)

    ... are here Home > Types of Cancer > Breast Cancer Breast Cancer This is Cancer.Net’s Guide to Breast Cancer. Use the menu below to choose the Overview/ ... social workers, and patient advocates. Cancer.Net Guide Breast Cancer Introduction Statistics Medical Illustrations Risk Factors and Prevention ...

  19. Breast Cancer -- Male

    Science.gov (United States)

    ... Home > Types of Cancer > Breast Cancer in Men Breast Cancer in Men This is Cancer.Net’s Guide to Breast Cancer in Men. Use the menu below to choose ... social workers, and patient advocates. Cancer.Net Guide Breast Cancer in Men Introduction Statistics Risk Factors and Prevention ...

  20. Breast Cancer

    Science.gov (United States)

    ... right away. He or she will do a physical exam. They will ask you about your health history and your family’s history of breast cancer. ... and Wellness Staying Healthy Healthy Living Travel Occupational Health First Aid and ... Pets and Animals myhealthfinder Food and Nutrition Healthy Food ...

  1. Fibroblast growth factor receptors in breast cancer.

    Science.gov (United States)

    Wang, Shuwei; Ding, Zhongyang

    2017-05-01

    Fibroblast growth factor receptors are growth factor receptor tyrosine kinases, exerting their roles in embryogenesis, tissue homeostasis, and development of breast cancer. Recent genetic studies have identified some subtypes of fibroblast growth factor receptors as strong genetic loci associated with breast cancer. In this article, we review the recent epidemiological findings and experiment results of fibroblast growth factor receptors in breast cancer. First, we summarized the structure and physiological function of fibroblast growth factor receptors in humans. Then, we discussed the common genetic variations in fibroblast growth factor receptors that affect breast cancer risk. In addition, we also introduced the potential roles of each fibroblast growth factor receptors isoform in breast cancer. Finally, we explored the potential therapeutics targeting fibroblast growth factor receptors for breast cancer. Based on the biological mechanisms of fibroblast growth factor receptors leading to the pathogenesis in breast cancer, targeting fibroblast growth factor receptors may provide new opportunities for breast cancer therapeutic strategies.

  2. Male Breast Cancer

    Science.gov (United States)

    Although breast cancer is much more common in women, men can get it too. It happens most often to men between ... 60 and 70. Breast lumps usually aren't cancer. However, most men with breast cancer have lumps. ...

  3. Male Breast Cancer

    Science.gov (United States)

    ... types of breast cancer that can occur in men include Paget's disease of the nipple and inflammatory breast cancer. Inherited genes that increase breast cancer risk Some men inherit abnormal (mutated) genes from their parents that ...

  4. The unique transcriptional response produced by concurrent estrogen and progesterone treatment in breast cancer cells results in upregulation of growth factor pathways and switching from a Luminal A to a Basal-like subtype

    International Nuclear Information System (INIS)

    Need, Eleanor F.; Selth, Luke A.; Trotta, Andrew P.; Leach, Damien A.; Giorgio, Lauren; O’Loughlin, Melissa A.; Smith, Eric; Gill, Peter G.; Ingman, Wendy V.; Graham, J. Dinny; Buchanan, Grant

    2015-01-01

    In breast cancer, progesterone receptor (PR) positivity or abundance is positively associated with survival and treatment response. It was initially believed that PR was a useful diagnostic marker of estrogen receptor activity, but increasingly PR has been recognised to play an important biological role in breast homeostasis, carcinogenesis and metastasis. Although PR expression is almost exclusively observed in estrogen receptor positive tumors, few studies have investigated the cellular mechanisms of PR action in the context of ongoing estrogen signalling. In this study, we contrast PR function in estrogen pretreated ZR-75-1 breast cancer cells with vehicle treated ZR-75-1 and T-47D breast cancer cells using expression microarrays and chromatin immunoprecipitation-sequencing. Estrogen cotreatment caused a dramatic increase in the number of genes regulated by progesterone in ZR-75-1 cells. In T-47D cells that have naturally high levels of PR, estrogen and progesterone cotreatment resulted in a reduction in the number of regulated genes in comparison to treatment with either hormone alone. At a genome level, estrogen pretreatment of ZR-75-1 cells led to a 10-fold increase in the number of PR DNA binding sites detected using ChIP-sequencing. Time course assessment of progesterone regulated genes in the context of estrogen pretreatment highlighted a series of important regulatory pathways, including those driven by epithelial growth factor receptor (EGFR). Importantly, progesterone applied to cells pretreated with estradiol resulted in switching of the PAM50-determined intrinsic breast cancer subtype from Luminal A to Basal-like, and increased the Oncotype DX® Unscaled Recurrence Score. Estrogen pretreatment of breast cancer cells increases PR steady state levels, resulting in an unequivocal progesterone response that upregulates key members of growth factor pathways. The transformative changes progesterone exerts on the breast cancer subtype suggest that these

  5. Breast Cancer Surgery

    Science.gov (United States)

    FACTS FOR LIFE Breast Cancer Surgery The goal of breast cancer surgery is to remove the whole tumor from the breast. Some lymph nodes ... might still be in the body. Types of breast cancer surgery There are two types of breast cancer ...

  6. Tumour 18 F-FDG Uptake on preoperative PET/CT may predict axillary lymph node metastasis in ER-positive/HER2-negative and HER2-positive breast cancer subtypes

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jin You; Lee, Suck Hong; Kim, Suk [Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Department of Radiology, Seo-gu, Busan (Korea, Republic of); Kang, Taewoo [Pusan National University Hospital, Busan Cancer Center, Busan (Korea, Republic of); Bae, Young Tae [Pusan National University Hospital, Department of Surgery, Busan (Korea, Republic of)

    2015-04-01

    To evaluate the association between tumour FDG uptake on preoperative PET/CT and axillary lymph node metastasis (ALNM) according to breast cancer subtype. The records of 671 patients with invasive breast cancer who underwent {sup 18} F-FDG PET/CT and surgery were reviewed. Using immunohistochemistry, tumours were divided into three subtypes: oestrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative, HER2-positive, and triple-negative. Tumour FDG uptake, expressed as maximum standardized uptake value (SUV{sub max}), and clinicopathological variables were analysed. ALNM was present in 187 of 461 ER-positive/HER2-negative, 54 of 97 HER2-positive, and 38 of 113 triple-negative tumours. On multivariate analysis, high tumour SUV{sub max} (≥4.25) (P < 0.001), large tumour size (>2 cm) (P = 0.003) and presence of lymphovascular invasion (P < 0.001) were independent variables associated with ALNM. On subset analyses, tumour SUV{sub max} maintained independent significance for predicting ALNM in ER-positive/HER2-negative (adjusted odds ratio: 3.277, P < 0.001) and HER2-positive tumours (adjusted odds ratio: 14.637, P = 0.004). No association was found for triple-negative tumours (P = 0.161). Tumour SUV{sub max} may be an independent prognostic factor for ALNM in patients with invasive breast cancer, especially in ER-positive/HER2-negative and HER2-positive subtypes, but not in those with triple-negative subtype. (orig.)

  7. Identification of Novel Biomarkers and Targeting Tumor-Initiating Cell Clones of the Triple-Negative Breast Cancer Subtype

    DEFF Research Database (Denmark)

    Ehmsen, Sidse

    Brystkræft påvirker mere end 10% af kvinderne i vestlige lande og er den hyppigste årsag til kræftrelateret dødelighed blandt kvinder på verdensplan. Den triple-negative brystkræft-subtype (TNBC, (ER-/PR-/HER2normal)) udgør ca. 10% af alle brystkræfttilfældene, samtidig er den aggressiv og forbun....... En af de nyeste strategier inden for terapi mod CSC’er er at ramme essentielle signalveje inden for selv-fornyelse of metastasering. Formålet med arbejdet præsenteret i denne afhandling er at identificere nye biomarkører, der kan undergruppere den ellers meget heterogene gruppe af TNBC...

  8. A mathematical prediction model incorporating molecular subtype for risk of non-sentinel lymph node metastasis in sentinel lymph node-positive breast cancer patients: a retrospective analysis and nomogram development.

    Science.gov (United States)

    Wang, Na-Na; Yang, Zheng-Jun; Wang, Xue; Chen, Li-Xuan; Zhao, Hong-Meng; Cao, Wen-Feng; Zhang, Bin

    2018-04-25

    Molecular subtype of breast cancer is associated with sentinel lymph node status. We sought to establish a mathematical prediction model that included breast cancer molecular subtype for risk of positive non-sentinel lymph nodes in breast cancer patients with sentinel lymph node metastasis and further validate the model in a separate validation cohort. We reviewed the clinicopathologic data of breast cancer patients with sentinel lymph node metastasis who underwent axillary lymph node dissection between June 16, 2014 and November 16, 2017 at our hospital. Sentinel lymph node biopsy was performed and patients with pathologically proven sentinel lymph node metastasis underwent axillary lymph node dissection. Independent risks for non-sentinel lymph node metastasis were assessed in a training cohort by multivariate analysis and incorporated into a mathematical prediction model. The model was further validated in a separate validation cohort, and a nomogram was developed and evaluated for diagnostic performance in predicting the risk of non-sentinel lymph node metastasis. Moreover, we assessed the performance of five different models in predicting non-sentinel lymph node metastasis in training cohort. Totally, 495 cases were eligible for the study, including 291 patients in the training cohort and 204 in the validation cohort. Non-sentinel lymph node metastasis was observed in 33.3% (97/291) patients in the training cohort. The AUC of MSKCC, Tenon, MDA, Ljubljana, and Louisville models in training cohort were 0.7613, 0.7142, 0.7076, 0.7483, and 0.671, respectively. Multivariate regression analysis indicated that tumor size (OR = 1.439; 95% CI 1.025-2.021; P = 0.036), sentinel lymph node macro-metastasis versus micro-metastasis (OR = 5.063; 95% CI 1.111-23.074; P = 0.036), the number of positive sentinel lymph nodes (OR = 2.583, 95% CI 1.714-3.892; P model based on the results of multivariate analysis was established to predict the risk of non

  9. Elevated Levels of Serum Tumor Markers CEA and CA15-3 Are Prognostic Parameters for Different Molecular Subtypes of Breast Cancer.

    Science.gov (United States)

    Shao, Yingbo; Sun, Xianfu; He, Yaning; Liu, Chaojun; Liu, Hui

    2015-01-01

    The utility of measuring carcinoembryonic antigen(CEA) and cancer antigen 15-3 (CA15-3) levels in patients with breast cancer remains controversial. The present study aims to investigate the prognostic value of preoperative serum CEA and CA15-3 levels in breast cancer patients. Serum preoperative CEA and CA 15-3 concentration levels were measured in a total of 432 breast cancer patients. The association of tumor markers levels with clinicopathological parameters and outcomes were analyzed. Elevated serum levels of CEA and CA15-3 were identified in 47 (10.9%) and 60(13.9%) patients, respectively. Larger tumor size, advanced axillary lymph nodal and TNM stage exhibited higher proportion of elevated CEA and CA15-3 levels. The elevation of CEA levels was significantly greater in patients with HER2 positive tumors, and the elevation of CA15-3 levels was significantly greater in ER negative breast patients. Univariate and multivariate Cox's regression analysis revealed that elevated preoperative CEA and CA 15-3 levels were independent prognostic factors for DFS and OS. When considering the combination of both markers levels, patients with both elevated markers presented the worst survival. Independent prognostic significance of elevated preoperative serum CEA and CA15-3 levels were reconfirmed in Luminal B breast cancer. Preoperative serum levels of CEA and CA15-3 are independent prognostic parameters for breast cancer.

  10. Elevated Levels of Serum Tumor Markers CEA and CA15-3 Are Prognostic Parameters for Different Molecular Subtypes of Breast Cancer.

    Directory of Open Access Journals (Sweden)

    Yingbo Shao

    Full Text Available The utility of measuring carcinoembryonic antigen(CEA and cancer antigen 15-3 (CA15-3 levels in patients with breast cancer remains controversial. The present study aims to investigate the prognostic value of preoperative serum CEA and CA15-3 levels in breast cancer patients.Serum preoperative CEA and CA 15-3 concentration levels were measured in a total of 432 breast cancer patients. The association of tumor markers levels with clinicopathological parameters and outcomes were analyzed.Elevated serum levels of CEA and CA15-3 were identified in 47 (10.9% and 60(13.9% patients, respectively. Larger tumor size, advanced axillary lymph nodal and TNM stage exhibited higher proportion of elevated CEA and CA15-3 levels. The elevation of CEA levels was significantly greater in patients with HER2 positive tumors, and the elevation of CA15-3 levels was significantly greater in ER negative breast patients. Univariate and multivariate Cox's regression analysis revealed that elevated preoperative CEA and CA 15-3 levels were independent prognostic factors for DFS and OS. When considering the combination of both markers levels, patients with both elevated markers presented the worst survival. Independent prognostic significance of elevated preoperative serum CEA and CA15-3 levels were reconfirmed in Luminal B breast cancer.Preoperative serum levels of CEA and CA15-3 are independent prognostic parameters for breast cancer.

  11. Disparities in breast cancer and african ancestry: a global perspective.

    Science.gov (United States)

    Newman, Lisa A

    2015-01-01

    Recognition of breast cancer disparities between African-American and White American women has generated exciting research opportunities investigating the biologic and hereditary factors that contribute to the observed outcome differences, leading to international studies of breast cancer in Africa. The study of breast cancer in women with African ancestry has opened the door to unique investigations regarding breast cancer subtypes and the genetics of this disease. International research efforts can advance our understanding of race/ethnicity-associated breast cancer disparities within the USA; the pathogenesis of triple negative breast cancer; and hereditary susceptibility for breast cancer. © 2015 Wiley Periodicals, Inc.

  12. Height and Breast Cancer Risk

    DEFF Research Database (Denmark)

    Zhang, Ben; Shu, Xiao-Ou; Delahanty, Ryan J

    2015-01-01

    BACKGROUND: Epidemiological studies have linked adult height with breast cancer risk in women. However, the magnitude of the association, particularly by subtypes of breast cancer, has not been established. Furthermore, the mechanisms of the association remain unclear. METHODS: We performed a meta......-analysis to investigate associations between height and breast cancer risk using data from 159 prospective cohorts totaling 5216302 women, including 113178 events. In a consortium with individual-level data from 46325 case patients and 42482 control patients, we conducted a Mendelian randomization analysis using...... a genetic score that comprised 168 height-associated variants as an instrument. This association was further evaluated in a second consortium using summary statistics data from 16003 case patients and 41335 control patients. RESULTS: The pooled relative risk of breast cancer was 1.17 (95% confidence...

  13. Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype

    DEFF Research Database (Denmark)

    Figueroa, Jonine D; Garcia-Closas, Montserrat; Humphreys, Manjeet

    2011-01-01

    for tumors of lower grade (case-only P= 6.7 × 10(-3)) and lobular histology (case-only P= 0.01). SNPs at 14q24.1 were associated with risk for most tumor subtypes evaluated, including triple-negative breast cancers, which has not been described previously. Our results underscore the need for large pooling......A genome-wide association study (GWAS) identified single-nucleotide polymorphisms (SNPs) at 1p11.2 and 14q24.1 (RAD51L1) as breast cancer susceptibility loci. The initial GWAS suggested stronger effects for both loci for estrogen receptor (ER)-positive tumors. Using data from the Breast Cancer......10483813 (r(2)= 0.98) at 14q24.1 (RAD51L1), for up to 46 036 invasive breast cancer cases and 46 930 controls from 39 studies. Analyses by tumor characteristics focused on subjects reporting to be white women of European ancestry and were based on 25 458 cases, of which 87% had ER data. The SNP at 1p11...

  14. Breast Cancer in Men

    Science.gov (United States)

    ... ultrasound or a breast MRI cannot rule out breast cancer then you will need a biopsy to confirm diagnosis. If diagnosed When first diagnosed with breast cancer, many men are in shock. After all, ...

  15. Breast Cancer Disparities

    Science.gov (United States)

    ... 2.65 MB] Read the MMWR Science Clips Breast Cancer Black Women Have Higher Death Rates from Breast ... of Page U.S. State Info Number of Additional Breast Cancer Deaths Among Black Women, By State SOURCE: National ...

  16. Breast cancer in men

    Science.gov (United States)

    ... in situ - male; Intraductal carcinoma - male; Inflammatory breast cancer - male; Paget disease of the nipple - male; Breast cancer - male ... The cause of breast cancer in men is not clear. But there are risk factors that make breast cancer more likely in men: Exposure to ...

  17. 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.

  18. Racial disparities in survival outcomes by breast tumor subtype among African American women in Memphis, Tennessee.

    Science.gov (United States)

    Vidal, Gregory; Bursac, Zoran; Miranda-Carboni, Gustavo; White-Means, Shelley; Starlard-Davenport, Athena

    2017-07-01

    Racial disparities in survival among African American (AA) women in the United States have been well documented. Breast cancer mortality rates among AA women is higher in Memphis, Tennessee as compared to 49 of the largest US cities. In this study, we investigated the extent to which racial/ethnic disparities in survival outcomes among Memphis women are attributed to differences in breast tumor subtype and treatment outcomes. A total of 3527 patients diagnosed with stage I-IV breast cancer between January 2002 and April 2015 at Methodist Health hospitals and West Cancer Center in Memphis, TN were included in the analysis. Kaplan-Meier survival curves were generated and Cox proportional hazards regression were used to compare survival outcomes among 1342 (38.0%) AA and 2185 (62.0%) non-Hispanic White breast cancer patients by race and breast tumor subtype. Over a mean follow-up time of 29.9 months, AA women displayed increased mortality risk [adjusted hazard ratio (HR), 1.65; 95% confidence interval (CI), 1.35-2.03] and were more likely to be diagnosed at advanced stages of disease. AA women with triple-negative breast cancer (TNBC) had the highest death rate at 26.7% compared to non-Hispanic White women at 16.5%. AA women with TNBC and luminal B/HER2- breast tumors had the highest risk of mortality. Regardless of race, patients who did not have surgery had over five times higher risk of dying compared to those who had surgery. These findings provide additional evidence of the breast cancer disparity gap between AA and non-Hispanic White women and highlight the need for targeted interventions and policies to eliminate breast cancer disparities in AA populations, particularly in Memphis, TN. © 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

  19. Analysis of molecular subtypes for the increased HER2 equivocal cases caused by application of the updated 2013 ASCO/CAP HER2 testing guidelines in breast cancer.

    Science.gov (United States)

    Guo, Lei; Yuan, Pei; Zhang, Jing; Ling, Yun; Li, Wenbin; Zhao, Bohui; Ying, Jianming; Xuan, Lixue

    2017-11-01

    Accurate testing of the status of human epidermal growth factor receptor type 2 (HER2) is a prerequisite for HER2-directed therapy. The American Society of Clinical Oncology (ASCO) and the College of American Pathologists (CAP) published joint guideline recommendations for HER2 testing in breast cancer in 2007 and it was updated in 2013. We compared the HER2 gene amplification status based on these two guidelines and analyzed the molecular characteristics of the equivocal cases. A total of 1894 patient samples were analyzed for both immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH). HER2 FISH amplification was examined and re-assessed using 2013 guidelines. According to the 2013 ASCO/CAP recommendations, 763 (40.3%) cases were classified as HER2 positive compared with 729 (38.5%) cases defined by 2007 guidelines. There was a significant increase of 6.1% in the proportion of HER2 FISH equivocal cases that were interpreted using ASCO/CAP 2013 (7.3%) compared with 2007 (1.2%) guidelines (P guidelines, 125 cases were IHC2+ and 13 cases were IHC1+. These 125 cases included 4 double equivocal cases which were defined as equivocal by both 2007 and 2013 guidelines and 121 cases whose status was changed from negative defined by 2007 guidelines to equivocal defined by 2013 guidelines. Compared with luminal A type and luminal B type respectively, these 121 equivocal cases demonstrated no significant difference with luminal B type in T stage and N stage (P = 0.192, P = 0.421). When we divided the luminal B type into two parts that included HER2 negative cases and HER2 positive cases, the equivocal cases also showed no significant difference with these two subtypes in T stage and N stage. Our study suggested that implementation of the revised ASCO/CAP 2013 guidelines resulted in an increase of 1.7% in overall HER2 positivity rate and of 6.1% in equivocal cases. Pathological analysis revealed that these equivocal cases exhibit similar biological

  20. Pathological complete response after neoadjuvant chemotherapy is an independent predictive factor irrespective of simplified breast cancer intrinsic subtypes: a landmark and two-step approach analyses from the EORTC 10994/BIG 1-00 phase III trial.

    Science.gov (United States)

    Bonnefoi, H; Litière, S; Piccart, M; MacGrogan, G; Fumoleau, P; Brain, E; Petit, T; Rouanet, P; Jassem, J; Moldovan, C; Bodmer, A; Zaman, K; Cufer, T; Campone, M; Luporsi, E; Malmström, P; Werutsky, G; Bogaerts, J; Bergh, J; Cameron, D A

    2014-06-01

    Pathological complete response (pCR) following chemotherapy is strongly associated with both breast cancer subtype and long-term survival. Within a phase III neoadjuvant chemotherapy trial, we sought to determine whether the prognostic implications of pCR, TP53 status and treatment arm (taxane versus non-taxane) differed between intrinsic subtypes. Patients were randomized to receive either six cycles of anthracycline-based chemotherapy or three cycles of docetaxel then three cycles of eprirubicin/docetaxel (T-ET). pCR was defined as no evidence of residual invasive cancer (or very few scattered tumour cells) in primary tumour and lymph nodes. We used a simplified intrinsic subtypes classification, as suggested by the 2011 St Gallen consensus. Interactions between pCR, TP53 status, treatment arm and intrinsic subtype on event-free survival (EFS), distant metastasis-free survival (DMFS) and overall survival (OS) were studied using a landmark and a two-step approach multivariate analyses. Sufficient data for pCR analyses were available in 1212 (65%) of 1856 patients randomized. pCR occurred in 222 of 1212 (18%) patients: 37 of 496 (7.5%) luminal A, 22 of 147 (15%) luminal B/HER2 negative, 51 of 230 (22%) luminal B/HER2 positive, 43 of 118 (36%) HER2 positive/non-luminal, 69 of 221(31%) triple negative (TN). The prognostic effect of pCR on EFS did not differ between subtypes and was an independent predictor for better EFS [hazard ratio (HR) = 0.40, P analysis. EORTC 10994/BIG 1-00 Trial registration number NCT00017095. © The Author 2014. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

  1. Stages of Male Breast Cancer

    Science.gov (United States)

    ... Breast & Gynecologic Cancers Breast Cancer Screening Research Male Breast Cancer Treatment (PDQ®)–Patient Version General Information about Male Breast Cancer Go to Health Professional Version Key Points Male ...

  2. Genetic Alterations in the Molecular Subtypes of Bladder Cancer: Illustration in the Cancer Genome Atlas Dataset.

    Science.gov (United States)

    Choi, Woonyoung; Ochoa, Andrea; McConkey, David J; Aine, Mattias; Höglund, Mattias; Kim, William Y; Real, Francisco X; Kiltie, Anne E; Milsom, Ian; Dyrskjøt, Lars; Lerner, Seth P

    2017-09-01

    Recent whole genome mRNA expression profiling studies revealed that bladder cancers can be grouped into molecular subtypes, some of which share clinical properties and gene expression patterns with the intrinsic subtypes of breast cancer and the molecular subtypes found in other solid tumors. The molecular subtypes in other solid tumors are enriched with specific mutations and copy number aberrations that are thought to underlie their distinct progression patterns, and biological and clinical properties. The availability of comprehensive genomic data from The Cancer Genome Atlas (TCGA) and other large projects made it possible to correlate the presence of DNA alterations with tumor molecular subtype membership. Our overall goal was to determine whether specific DNA mutations and/or copy number variations are enriched in specific molecular subtypes. We used the complete TCGA RNA-seq dataset and three different published classifiers developed by our groups to assign TCGA's bladder cancers to molecular subtypes, and examined the prevalence of the most common DNA alterations within them. We interpreted the results against the background of what was known from the published literature about the prevalence of these alterations in nonmuscle-invasive and muscle-invasive bladder cancers. The results confirmed that alterations involving RB1 and NFE2L2 were enriched in basal cancers, whereas alterations involving FGFR3 and KDM6A were enriched in luminal tumors. The results further reinforce the conclusion that the molecular subtypes of bladder cancer are distinct disease entities with specific genetic alterations. Our observation showed that some of subtype-enriched mutations and copy number aberrations are clinically actionable, which has direct implications for the clinical management of patients with bladder cancer. Copyright © 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

  3. Impact of established prognostic factors and molecular subtype in very young breast cancer patients: pooled analysis of four EORTC randomized controlled trials

    NARCIS (Netherlands)

    van der Hage, Jos A.; Mieog, J. Sven D.; van de Velde, Cornelis J. H.; Putter, Hein; Bartelink, Harry; van de Vijver, Marc J.

    2011-01-01

    Young age at the time of diagnosis of breast cancer is an independent factor of poor prognosis. In many treatment guidelines, the recommendation is to treat young patients with adjuvant chemotherapy regardless of tumor characteristics. However, limited data on prognostic factors are available for

  4. Body mass index at age 18 years and recent body mass index in relation to risk of breast cancer overall and ER/PR/HER2-defined subtypes in white women and African-American women: a pooled analysis.

    Science.gov (United States)

    Ma, Huiyan; Ursin, Giske; Xu, Xinxin; Lee, Eunjung; Togawa, Kayo; Malone, Kathleen E; Marchbanks, Polly A; McDonald, Jill A; Simon, Michael S; Folger, Suzanne G; Lu, Yani; Sullivan-Halley, Jane; Deapen, Dennis M; Press, Michael F; Bernstein, Leslie

    2018-01-22

    Although it has been well-documented that obesity is associated with decreased risk of premenopausal breast cancer and increased risk of postmenopausal breast cancer, it is unclear whether these associations differ among breast cancer subtypes defined by the tumor protein expression status of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). We evaluated the associations of body mass index (BMI) at age 18 years and recent BMI in relation to risk of breast cancer overall and ER/PR/HER2-defined subtypes, in 6320 women (3934 case-patient participants, 2386 control participants) aged 35-64 years, who participated in one of three population-based case-control studies. We estimated multivariable-adjusted odd ratios (ORs) and corresponding 95% confidence intervals (CIs) using polychotomous unconditional logistic regression methods for case-control comparisons in premenopausal women and postmenopausal women. BMI at age 18 years was inversely associated with risk of breast cancer, particularly among premenopausal women (≥ 25 vs. women, African-American women). Recent BMI was not associated with risk of premenopausal breast cancer after adjustment for BMI at age 18 years; nevertheless, the analysis for the joint effects of BMI at age 18 years and recent BMI showed that premenopausal women in the highest categories of the two BMI measures (≥ 25 kg/m 2 at age 18 years and ≥ 30 kg/m 2 for recent BMI) had 46% lower risk of breast cancer than premenopausal women in the lowest categories of the two BMI measures (breast cancer. Our findings indicate that high BMI near the end of adolescence decreases risk of all ER/PR/HER2-defined subtypes of premenopausal breast cancer and also suggest that this benefit could be maximized among premenopausal women who consistently have high BMI during their premenopausal years.

  5. Hypermethylation pattern of ESR and PgR genes and lacking estrogen and progesterone receptors in human breast cancer tumors: ER/PR subtypes.

    Science.gov (United States)

    Pirouzpanah, Saeed; Taleban, Forough-Azam; Mehdipour, Parvin; Sabour, Siamak; Atri, Morteza

    2018-02-14

    The option of endocrine therapy in breast cancer remains conventionally promising. We aimed to investigate how accurately the pattern of hypermethylation at estrogen receptor (ESR) and progesterone receptor (PgR) genes may associate with relative expression and protein status of ER, PR and the combinative phenotype of ER/PR. In this consecutive case-series, we enrolled 139 primary diagnosed breast cancer. Methylation specific PCR was used to assess the methylation status (individual test). Tumor mRNA expression levels were evaluated using real-time RT-PCR. Immunohistochemistry data was used to present hormonal receptor status of a tumor (as test reference). Methylation at ESR1 was comparably frequent in ER-breast tumors (83.0%, PPR- conditions (Cramer's V= 0.44, PPR (77.1%, PPR expressions (55.6%, PPR- (64.4%, PPR-, the hypermethylation of PgRb seem another epigenetic signalling variable actively associate with methylated ESR1 to show lack of ER+/PR+ tumors in breast cancer.

  6. Common variants at the 19p13.1 and ZNF365 loci are associated with ER subtypes of breast cancer and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    F.J. Couch (Fergus); M.M. Gaudet (Mia); A.C. Antoniou (Antonis); S.J. Ramus (Susan); K.B. Kuchenbaecker (Karoline); P. Soucy (Penny); J. Beesley (Jonathan); X. Chen (Xiaoqing); X. Wang (Xing); T. Kircchoff (Tomas); L. McGuffog (Lesley); D. Barrowdale (Daniel); A. Lee (Andrew); S. Healey (Sue); O. Sinilnikova (Olga); I.L. Andrulis (Irene); H. Ozcelik (Hilmi); A.M. Mulligan (Anna Marie); M. Thomassen (Mads); A-M. Gerdes (Anne-Marie); U.B. Jensen; A.-B. Skytte (Anne-Bine); T.A. Kruse (Torben); M.A. Caligo (Maria); A. von Wachenfeldt (Anna); G. Barbany-Bustinza (Gisela); N. Loman (Niklas); M. Soller (Maria); H. Ehrencrona (Hans); P. Karlsson (Per); K.L. Nathanson (Katherine); R. Rebbeck (Timothy); S.M. Domchek (Susan); A. Jakubowska (Anna); J. Lubinski (Jan); K. Jaworska (Katarzyna); K. Durda (Katarzyna); E. Zołwocka (Elzbieta); T. Huzarski (Tomasz); T. Byrski (Tomasz); J. Gronwald (Jacek); C. Cybulski (Cezary); B. Górski (Bohdan); A. Osorio (Ana); M. Durán (Mercedes); M.I. Tejada; J. Benítez (Javier); U. Hamann (Ute); F.B.L. Hogervorst (Frans); T.A.M. van Os (Theo); F.E. van Leeuwen (Flora); E.J. Meijers-Heijboer (Hanne); J.T. Wijnen (Juul); M.J. Blok (Marinus); C.M. Kets; M.J. Hooning (Maartje); R.A. Oldenburg (Rogier); M.G.E.M. Ausems (Margreet); S. Peock (Susan); D. Frost (Debra); S.D. Ellis (Steve); R. Platte (Radka); E. Fineberg (Elena); D.G. Evans (Gareth); C. Jacobs (Chris); R. Eeles (Rosalind); J.W. Adlard (Julian); R. Davidson (Rosemarie); D. Eccles (Diana); T.J. Cole (Trevor); J. Cook (Jackie); J. Paterson (Joan); C. Brewer (Carole); F. Douglas (Fiona); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); L.J. Walker (Lisa); M.E. Porteous (Mary); M.J. Kennedy (John); L. Side (Lucy); B. Bove (B.); A.K. Godwin (Andrew); D. Stoppa-Lyonnet (Dominique); M. Fassy-Colcombet (Marion); L. Castera (Laurent); F. Cornelis (Franco̧is); S. Mazoyer (Sylvie); M. Léone (Mélanie); N. Boutry-Kryza (N.); B. Bressac-de Paillerets (Brigitte); O. Caron (Olivier); P. Pujol (Pascal); I. Coupier (Isabelle); C.D. Delnatte (Capucine); L. Akloul (Linda); H. Lynch (Henry); C.L. Snyder (Carrie); S.S. Buys (Saundra); M.B. Daly (Mary); M.-B. Terry (Mary-Beth); W. Chung (Wendy); E.M. John (Esther); A. Miron (Alexander); M.C. Southey (Melissa); J.L. Hopper (John); D. Goldgar (David); C.F. Singer (Christian); C. Rappaport (Christine); M.-K. Tea; A. Fink-Retter (Anneliese); T.V.O. Hansen (Thomas); F.C. Nielsen (Finn); A. Arason (Adalgeir); J. Vijai (Joseph); S. Shah (Sonia); K. Sarrel (Kara); M. Robson (Mark); M. Piedmonte (Marion); K. Phillips (Kelly); J. Basil (Jack); W.S. Rubinstein (Wendy); J.F. Boggess (John); K. Wakeley (Katie); A. Ewart-Toland (Amanda); M. Montagna (Marco); S. Agata (Simona); E.N. Imyanitov (Evgeny); C. Isaacs (Claudine); R. Janavicius (Ramunas); C. Lazaro (Conxi); I. Blanco (Ignacio); L. Feliubadaló (L.); J. Brunet (Joan); S.A. Gayther (Simon); P.D.P. Pharoah (Paul); K. Odunsi (Kunle); B.Y. Karlan (Beth); C.S. Walsh (Christine); E. Olah; S.-H. Teo (Soo-Hwang); P.A. Ganz (Patricia); M.S. Beattie (Mary); E.J. van Rensburg (Elizabeth); C.M. Dorfling (Cecelia); O. Diez (Orland); A. Kwong (Ava); R.K. Schmutzler (Rita); B. Wapenschmidt (Barbara); C.W. Engel (Christoph); A. Meindl (Alfons); N. Ditsch (Nina); N. Arnold (Norbert); S. Heidemann (Simone); D. Niederacher (Dieter); S. Preisler-Adams (Sabine); D. Gadzicki (Dorothea); R. Varon-Mateeva (Raymonda); H. Deissler (Helmut); P.A. Gehrig (Paola A.); C. Sutter (Christian); K. Kast (Karin); B. Fiebig (Britta); W. Heinritz (Wolfram); T. Caldes (Trinidad); M. de La Hoya (Miguel); T.A. Muranen (Taru); H. Nevanlinna (Heli); M. Tischkowitz (Marc); A.B. Spurdle (Amanda); S.L. Neuhausen (Susan); Y.C. Ding (Yuan); N.M. Lindor (Noralane); Z. Fredericksen (Zachary); V.S. Pankratz (Shane); P. Peterlongo (Paolo); S. Manoukian (Siranoush); B. Peissel (Bernard); D. Zaffaroni (D.); M. Barile (Monica); L. Bernard (Loris); A. Viel (Alessandra); G. Giannini (Giuseppe); L. Varesco (Liliana); P. Radice (Paolo); M.H. Greene (Mark); P.L. Mai (Phuong); D.F. Easton (Douglas); G. Chenevix-Trench (Georgia); K. Offit (Kenneth); J. Simard (Jacques)

    2012-01-01

    textabstractBackground: Genome-wide association studies (GWAS) identified variants at 19p13.1 and ZNF365 (10q21.2) as risk factors for breast cancer among BRCA1 and BRCA2 mutation carriers, respectively. We explored associations with ovarian cancer and with breast cancer by tumor histopathology for

  7. Common Variants at the 19p13.1 and ZNF365 Loci Are Associated with ER Subtypes of Breast Cancer and Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

    NARCIS (Netherlands)

    Couch, Fergus J.; Gaudet, Mia M.; Antoniou, Antonis C.; Ramus, Susan J.; Kuchenbaecker, Karoline B.; Soucy, Penny; Beesley, Jonathan; Chen, Xiaoqing; Wang, Xianshu; Kirchhoff, Tomas; McGuffog, Lesley; Barrowdale, Daniel; Lee, Andrew; Healey, Sue; Sinilnikova, Olga M.; Andrulis, Irene L.; Ozcelik, Hilmi; Mulligan, Anna Marie; Thomassen, Mads; Gerdes, Anne-Marie; Jensen, Uffe Birk; Skytte, Anne-Bine; Kruse, Torben A.; Caligo, Maria A.; von Wachenfeldt, Anna; Barbany-Bustinza, Gisela; Loman, Niklas; Soller, Maria; Ehrencrona, Hans; Karlsson, Per; Nathanson, Katherine L.; Rebbeck, Timothy R.; Domchek, Susan M.; Jakubowska, Ania; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Zlowocka, Elzbieta; Huzarski, Tomasz; Byrski, Tomasz; Gronwald, Jacek; Cybulski, Cezary; Górski, Bohdan; Osorio, Ana; Durán, Mercedes; Tejada, María Isabel; Benitez, Javier; Hamann, Ute; Hogervorst, Frans B. L.; van Os, Theo A.; van Leeuwen, Flora E.; Meijers-Heijboer, Hanne E. J.; Wijnen, Juul; Blok, Marinus J.; Kets, Marleen; Hooning, Maartje J.; Oldenburg, Rogier A.; Ausems, Margreet G. E. M.; Peock, Susan; Frost, Debra; Ellis, Steve D.; Platte, Radka; Fineberg, Elena; Evans, D. Gareth; Jacobs, Chris; Eeles, Rosalind A.; Adlard, Julian; Davidson, Rosemarie; Eccles, Diana M.; Cole, Trevor; Cook, Jackie; Paterson, Joan; Brewer, Carole; Douglas, Fiona; Hodgson, Shirley V.; Morrison, Patrick J.; Walker, Lisa; Porteous, Mary E.; Kennedy, M. John; Side, Lucy E.; Bove, Betsy; Godwin, Andrew K.; Stoppa-Lyonnet, Dominique; Fassy-Colcombet, Marion; Castera, Laurent; Cornelis, François; Mazoyer, Sylvie; Léoné, Mélanie; Boutry-Kryza, Nadia; Bressac-de Paillerets, Brigitte; Caron, Olivier; Pujol, Pascal; Coupier, Isabelle; Delnatte, Capucine; Akloul, Linda; Lynch, Henry T.; Snyder, Carrie L.; Buys, Saundra S.; Daly, Mary B.; Terry, Marybeth; Chung, Wendy K.; John, Esther M.; Miron, Alexander; Southey, Melissa C.; Hopper, John L.; Goldgar, David E.; Singer, Christian F.; Rappaport, Christine; tea, Muy-Kheng M.; Fink-Retter, Anneliese; Hansen, Thomas V. O.; Nielsen, Finn C.; Arason, Aðalgeir; Vijai, Joseph; Shah, Sohela; Sarrel, Kara; Robson, Mark E.; Piedmonte, Marion; Phillips, Kelly; Basil, Jack; Rubinstein, Wendy S.; Boggess, John; Wakeley, Katie; Ewart-Toland, Amanda; Montagna, Marco; Agata, Simona; Imyanitov, Evgeny N.; Isaacs, Claudine; Janavicius, Ramunas; Lazaro, Conxi; Blanco, Ignacio; Feliubadalo, Lidia; Brunet, Joan; Gayther, Simon A.; Pharoah, Paul P. D.; Odunsi, Kunle O.; Karlan, Beth Y.; Walsh, Christine S.; Olah, Edith; teo, Soo Hwang; Ganz, Patricia A.; Beattie, Mary S.; van Rensburg, Elizabeth J.; Dorfling, Cecelia M.; Diez, Orland; Kwong, Ava; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Ditsch, Nina; Arnold, Norbert; Heidemann, Simone; Niederacher, Dieter; Preisler-Adams, Sabine; Gadzicki, Dorothea; Varon-Mateeva, Raymonda; Deissler, Helmut; Gehrig, Andrea; Sutter, Christian; Kast, Karin; Fiebig, Britta; Heinritz, Wolfram; Caldes, Trinidad; de la Hoya, Miguel; Muranen, Taru A.; Nevanlinna, Heli; Tischkowitz, Marc D.; Spurdle, Amanda B.; Neuhausen, Susan L.; Ding, Yuan Chun; Lindor, Noralane M.; Fredericksen, Zachary; Pankratz, V. Shane; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Barile, Monica; Bernard, Loris; Viel, Alessandra; Giannini, Giuseppe; Varesco, Liliana; Radice, Paolo; Greene, Mark H.; Mai, Phuong L.; Easton, Douglas F.; Chenevix-Trench, Georgia; Offit, Kenneth; Simard, Jacques

    2012-01-01

    Background: Genome-wide association studies (GWAS) identified variants at 19p13.1 and ZNF365 (10q21.2) as risk factors for breast cancer among BRCA1 and BRCA2 mutation carriers, respectively. We explored associations with ovarian cancer and with breast cancer by tumor histopathology for these

  8. Common variants at the 19p13.1 and ZNF365 loci are associated with ER subtypes of breast cancer and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Couch, Fergus J; Gaudet, Mia M; Antoniou, Antonis C

    2012-01-01

    Genome-wide association studies (GWAS) identified variants at 19p13.1 and ZNF365 (10q21.2) as risk factors for breast cancer among BRCA1 and BRCA2 mutation carriers, respectively. We explored associations with ovarian cancer and with breast cancer by tumor histopathology for these variants in mut...

  9. Hormone Therapy for Breast Cancer

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... sensitive breast cancer cells contain proteins called hormone receptors that become activated when hormones bind to them. ...

  10. Breast cancer staging

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/patientinstructions/000911.htm Breast cancer staging To use the sharing features on this ... Once your health care team knows you have breast cancer , they will do more tests to stage it. ...

  11. Obesity and risk of ovarian cancer subtypes

    DEFF Research Database (Denmark)

    Olsen, Catherine M; Nagle, Christina M; Whiteman, David C

    2013-01-01

    Whilst previous studies have reported that higher BMI increases a woman's risk of developing ovarian cancer, associations for the different histological subtypes have not been well defined. As the prevalence of obesity has increased dramatically, and classification of ovarian histology has improv...

  12. Immunohistochemical Characteristics of Triple Negative/Basal-like Breast Cancer

    OpenAIRE

    Emel Ebru PALA; Ümit BAYOL; Süheyla CUMURCU; Elif KESKİN

    2012-01-01

    Objective: Triple-negative-breast-cancer that accounts for 10-20% of all breast carcinomas is defined by the lack of estrogen receptor, progesterone receptor, HER2 expression, and agressive clinical behavior. Triple-negative-breast-cancer is categorized into basal like and other types. The basal-like subtype is characterized by the expression of myoepithelial/basal markers.Material and Method: We studied 41 immunohistochemically triplenegative- breast-cancer patients to determine EGFR, Cytoke...

  13. Breast Cancer (For Kids)

    Science.gov (United States)

    ... Staying Safe Videos for Educators Search English Español Breast Cancer KidsHealth / For Kids / Breast Cancer What's in this ... for it when they are older. What Is Breast Cancer? The human body is made of tiny building ...

  14. Treatment Option Overview (Breast Cancer)

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... only hormone therapy after a hysterectomy . Selective estrogen receptor modulators (SERMs). Aromatase inhibitors . Less exposure of breast ...

  15. Relevance analysis of mammographic parenchymal patterns and breast cancer

    International Nuclear Information System (INIS)

    Feng Rendong; Lv Xiangyang; Li Shaolin; Gao Ming; Miao Liqiong

    2009-01-01

    Objective: Discussing the relativity of Mammographic parenchymal patterns and breast cancer, implementing the intervention treatment and regularly traces to the breast high dangerous crowd, in order to reduce the occurrence rate of beast cancer and the mortality rate. Methods: Mammary gland type was marked according to X ray on 500 breast cancer subjects and 1000 control subjects. Peri-cancer histological sections of the subtypes of the breast cancer group and histological section of the subtypes of the control group were studied contrastively to analyze the breast cancer risk index in every subtype and the occurrence rate in every age group. The types and the occurrence rates were counted. Results: (1)The lowest risk group: the subtypes with OR 0.3 and the cancer incidence rate ranging from 5% to 10% were IV b, II b, III b. (4)High-risk group: the subtypes with OR> 1 and the cancer incidence rate above 10% were III c, IV c. High dangerous age sections of breast cancer: 35 to 55 years old in IVc and IIIc (the age section of IIIc may lengthen to 60 years old), 31 to 50 years old in IVb, 50 to 60 years old in IIIb and IIb. Conclusion: IIIc and IVc belong to the high dangerous subtypes. People of these subtypes reach 67.4% of all breast cancer examples, so these people are the main subjects of the mammary gland general survey and tracing. Patient aged from 35 to 55 should be reexamined once a year. When necessary, the intervention treatment may be carried out to prevent breast cancer and to reduce the occurrence rate of beast cancer. Discovery and treatment in early phase can improve the breast cancer's survival quality, and reduce the mortality rate. (authors)

  16. Breast asymmetry and predisposition to breast cancer

    OpenAIRE

    Scutt, Diane; Lancaster, Gillian A; Manning, John T

    2006-01-01

    INTRODUCTION: It has been shown in our previous work that breast asymmetry is related to several of the known risk factors for breast cancer, and that patients with diagnosed breast cancer have more breast volume asymmetry, as measured from mammograms, than age-matched healthy women. METHODS: In the present study, we compared the breast asymmetry of women who were free of breast disease at time of mammography, but who had subsequently developed breast cancer, with that of age-matched healthy ...

  17. Cytogenetic report of a male breast cancer

    DEFF Research Database (Denmark)

    Cavalli, L R; Rogatto, S R; Rainho, C A

    1995-01-01

    of chromosome 8 in the characterization of the subtype of ductal breast carcinomas and demonstrate that chromosome 17, which is frequently involved in female breast cancers, is also responsible for the development or progression of primary breast cancers in males.......The cytogenetic findings on G-banding in an infiltrating ductal breast carcinoma in a 69-year-old man are reported. The main abnormalities observed were trisomy of chromosomes 8 and 9 and structural rearrangement in the long arm of chromosome 17 (add(17)(q25)). Our results confirm the trisomy...

  18. Breast Cancer Rates by State

    Science.gov (United States)

    ... Associated Lung Ovarian Prostate Skin Uterine Cancer Home Breast Cancer Rates by State Language: English (US) Español (Spanish) ... from breast cancer each year. Rates of Getting Breast Cancer by State The number of people who get ...

  19. Immunohistochemical subtypes predict the clinical outcome in high-risk node-negative breast cancer patients treated with adjuvant FEC regimen: results of a single-center retrospective study

    International Nuclear Information System (INIS)

    Rahal, S.; Boher, J M; Extra, J M; Tarpin, C.; Charafe-Jauffret, E.; Lambaudie, E.; Sabatier, R.; Thomassin-Piana, J.; Tallet, A.; Resbeut, M.; Houvenaeghel, G.; Laborde, L.; Bertucci, F.; Viens, P.; Gonçalves, A.

    2015-01-01

    Anthracycline-based adjuvant chemotherapy improves survival in patients with high-risk node-negative breast cancer (BC). In this setting, prognostic factors predicting for treatment failure might help selecting among the different available cytotoxic combinations. Between 1998 and 2008, 757 consecutive patients with node-negative BC treated in our institution with adjuvant FEC (5FU, epirubicin, cyclophosphamide) chemotherapy were identified. Data collection included demographic, clinico-pathological characteristics and treatment information. Molecular subtypes were derived from estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) status and Scarff-Bloom-Richardson (SBR) grade. Disease-free survival (DFS), distant disease-free survival (DDFS) and overall survival (OS) were estimated using the Kaplan-Meier Method, and prognostic factors were examined by multivariate Cox analysis. After a median follow-up of 70 months, the 5-year DFS, DDFS and OS were 90.6 % (95 % confidence interval (CI): 88.2–93.1), 92.8 % (95 % CI: 90.7–95) and 95.1 % (95 % CI, 93.3–96.9), respectively. In the multivariate analysis including classical clinico-pathological parameters, only grade 3 maintained a significant and independent adverse prognostic impact. In an alternative multivariate model where ER, PR and grade were replaced by molecular subtypes, only luminal B/HER2-negative and triple-negative subtypes were associated with reduced DFS and DDFS. Node-negative BC patients receiving adjuvant FEC regimen have a favorable outcome. Luminal B/HER2-negative and triple-negative subtypes identify patients with a higher risk of treatment failure, which might warrant more aggressive systemic treatment. The online version of this article (doi:10.1186/s12885-015-1746-3) contains supplementary material, which is available to authorized users

  20. FGF receptor genes and breast cancer susceptibility

    DEFF Research Database (Denmark)

    Agarwal, D; Pineda, S; Michailidou, K

    2014-01-01

    Background:Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying...... genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium.Methods:Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry......, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression.Results:Little evidence of association with breast cancer risk...

  1. Comparison of prognostic and predictive impact of genomic or central grade and immunohistochemical subtypes or IHC4 in HR+/HER2- early breast cancer: WSG-AGO EC-Doc Trial.

    Science.gov (United States)

    Gluz, O; Liedtke, C; Huober, J; Peyro-Saint-Paul, H; Kates, R E; Kreipe, H H; Hartmann, A; Pelz, E; Erber, R; Mohrmann, S; Möbus, V; Augustin, D; Hoffmann, G; Thomssen, C; Jänicke, F; Kiechle, M; Wallwiener, D; Kuhn, W; Nitz, U; Harbeck, N

    2016-06-01

    Potential prognostic and predictive markers in early, intermediate-risk breast cancer (BC) include histological grade, Ki-67, genomic signatures, e.g. genomic grade index (GGI), and intrinsic subtypes. Their prognostic/predictive impact in hormone receptor (HR: ER and/or PR) positive/HER2- BC is controversial. WSG-AGO EC-Doc demonstrated superior event-free survival (EFS) in patients with 1-3 positive lymph node receiving epirubicin/cyclophosphamide-docetaxel (EC-Doc) versus 5-fluoruracil/epirubicin/cyclophosphamide (FEC). In a representative trial subset, we quantify concordance among factors used for clinical chemotherapy indication. We investigate the impact of central histology (n = 772), immunohistochemistry for intrinsic subtyping and IHC4, and dichotomous (GG) or continuous (GGI) genomic grade (n = 472) on patient outcome and benefit from taxane chemotherapy, focusing on HR+/HER2- patients (n = 459). Concordance of local grade (LG) with central (CG) or genomic grade was modest. In HR+/HER2- patients, low (GG-1: 16%), equivocal (GG-EQ: 17%), and high (GG-3: 67%) GG were associated with respective 5-year EFS of 100%, 93%, and 85%. GGI was prognostic for EFS within all LG subgroups and within CG3, whereas IHC4 was prognostic only in CG3 tumors.In unselected and HR+/HER2- patients, CG3 and luminal-A-like subtype entered the multivariate EFS model, but not IHC4 or GG. In the whole population, continuous GGI entered the model [hazard ratio (H.R.) of 75th versus 25th = 2.79; P = 0.01], displacing luminal-A-like subtype; within HR+/HER2- (H.R. = 5.36; P Doc versus FEC in unselected but not in HR+/HER2- patients. In the WSG-AGO EC-Doc trial for intermediate-risk BC, CG, intrinsic subtype (by IHC), and GG provide prognostic information. Continuous GGI (but not IHC4) adds prognostic information even when IHC subtype and CG are available. Finally, the high interobserver variability for histological grade and the still missing validation of Ki-67 preclude indicating or

  2. Prevention of breast cancer.

    Science.gov (United States)

    Olver, Ian N

    2016-11-21

    Modifiable lifestyle factors may reduce the risk of developing breast cancer. Obesity is associated particularly with post-menopausal breast cancer. Diet is important, and exercise equivalent to running for up to 8 hours each week reduces the risk of breast cancer, both in its own right and through reducing obesity. Alcohol consumption may be responsible for 5.8% of breast cancers in Australia and it is recommended to reduce this to two standard drinks per day. Drinking alcohol and smoking increases the risk for breast cancer and, therefore, it is important to quit tobacco smoking. Prolonged use of combined oestrogen and progesterone hormone replacement therapy and oral contraceptives may increase breast cancer risk and this must be factored into individual decisions about their use. Ionising radiation, either from diagnostic or therapeutic radiation or through occupational exposure, is associated with a high incidence of breast cancer and exposure may be reduced in some cases. Tamoxifen chemoprevention may reduce the incidence of oestrogen receptor positive cancer in 51% of women with high risk of breast cancer. Uncommon but serious side effects include thromboembolism and uterine cancer. Raloxifene, which can also reduce osteoporosis, can be used in post-menopausal women and is not associated with the development of uterine cancer. Surgical prophylaxis with bilateral mastectomy and salpingo-oophorectomy can reduce the risk of breast cancer in patients carrying BRCA1 or BRCA2 mutations. For preventive treatments, mammographic screening can identify other women at high risk.

  3. Breast cancer prevention.

    Science.gov (United States)

    Euhus, David M; Diaz, Jennifer

    2015-01-01

    Breast cancer is the most common cancer in women with 232,670 new cases estimated in the USA for 2014. Approaches for reducing breast cancer risk include lifestyle modification, chemoprevention, and prophylactic surgery. Lifestyle modification has a variety of health benefits with few associated risks and is appropriate for all women regardless of breast cancer risk. Chemoprevention options have expanded rapidly, but most are directed at estrogen receptor positive breast cancer and uptake is low. Prophylactic surgery introduces significant additional risks of its own and is generally reserved for the highest risk women. © 2014 Wiley Periodicals, Inc.

  4. Breast Cancer Immunotherapy

    Institute of Scientific and Technical Information of China (English)

    Juhua Zhou; Yin Zhong

    2004-01-01

    Breast cancer is a leading cause of cancer-related deaths in women worldwide. Although tumorectomy,radiotherapy, chemotherapy and hormone replacement therapy have been used for the treatment of breast cancer, there is no effective therapy for patients with invasive and metastatic breast cancer. Immunotherapy may be proved effective in treating patients with advanced breast cancer. Breast cancer immunotherapy includes antibody based immunotherapy, cancer vaccine immunotherapy, adoptive T cell transfer immunotherapy and T cell receptor gene transfer immunotherapy. Antibody based immunotherapy such as the monoclonal antibody against HER-2/neu (trastuzumab) is successfully used in the treatment of breast cancer patients with over-expressed HER-2/neu, however, HER-2/neu is over-expressed only in 25-30% of breast cancer patients. Cancer vaccine immunotherapy is a promising method to treat cancer patients. Cancer vaccines can be used to induce specific anti-tumor immunity in breast cancer patients, but cannot induce objective tumor regression. Adoptive T cell transfer immunotherapy is an effective method in the treatment of melanoma patients. Recent advances in anti-tumor T cell generation ex vivo and limited clinical trial data have made the feasibility of adoptive T cell transfer immunotherapy in the treatment of breast cancer patients. T cell receptor gene transfer can redirect the specificity of T cells. Chimeric receptor, scFv(anti-HER-2/neu)/zeta receptor, was successfully used to redirect cytotoxic T lymphocyte hybridoma cells to obtain anti-HER-2/neu positive tumor cells, suggesting the feasibility of treatment of breast cancer patients with T cell receptor gene transfer immunotherapy. Clinical trials will approve that immunotherapy is an effective method to cure breast cancer disease in the near future.

  5. Breast Cancer Immunotherapy

    Institute of Scientific and Technical Information of China (English)

    JuhuaZhou; YinZhong

    2004-01-01

    Breast cancer is a leading cause of cancer-related deaths in women worldwide. Although tumorectomy, radiotherapy, chemotherapy and hormone replacement therapy have been used for the treatment of breast cancer, there is no effective therapy for patients with invasive and metastatic breast cancer. Immunotherapy may be proved effective in treating patients with advanced breast cancer. Breast cancer immunotherapy includes antibody based immunotherapy, cancer vaccine immunotherapy, adoptive T cell transfer immunotherapy and T cell receptor gene transfer immunotherapy. Antibody based immunotherapy such as the monoclonal antibody against HER-2/neu (trastuzumab) is successfully used in the treatment of breast cancer patients with over-expressed HER-2/neu, however, HER-2/neu is over-expressed only in 25-30% of breast cancer patients. Cancer vaccine immunotherapy is a promising method to treat cancer patients. Cancer vaccines can be used to induce specific anti-tumor immunity in breast cancer patients, but cannot induce objective tumor regression. Adoptive T cell transfer immunotherapy is an effective method in the treatment of melanoma patients. Recent advances in anti-tumor T cell generation ex vivo and limited clinical trial data have made the feasibility of adoptive T cell transfer immunotherapy in the treatment of breast cancer patients. T cell receptor gene transfer can redirect the specificity of T cells. Chimeric receptor, scFv(anti-HER-2/neu)/zeta receptor, was successfully used to redirect cytotoxic T lymphocyte hybridoma cells to obtain anti-HER-2/neu positive tumor cells, suggesting the feasibility of treatment of breast cancer patients with T cell receptor gene transfer immunotherapy. Clinical trials will approve that immunotherapy is an effective method to cure breast cancer disease in the near future. Cellular & Molecular Immunology.

  6. Breast Cancer Risk in American Women

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Risk in American Women On This Page What ... risk of developing the disease. Personal history of breast cancer : Women who have had breast cancer are more ...

  7. Breast cancer lung metastasis: Molecular biology and therapeutic implications.

    Science.gov (United States)

    Jin, Liting; Han, Bingchen; Siegel, Emily; Cui, Yukun; Giuliano, Armando; Cui, Xiaojiang

    2018-03-26

    Distant metastasis accounts for the vast majority of deaths in patients with cancer. Breast cancer exhibits a distinct metastatic pattern commonly involving bone, liver, lung, and brain. Breast cancer can be divided into different subtypes based on gene expression profiles, and different breast cancer subtypes show preference to distinct organ sites of metastasis. Luminal breast tumors tend to metastasize to bone while basal-like breast cancer (BLBC) displays a lung tropism of metastasis. However, the mechanisms underlying this organ-specific pattern of metastasis still remain to be elucidated. In this review, we will summarize the recent advances regarding the molecular signaling pathways as well as the therapeutic strategies for treating breast cancer lung metastasis.

  8. Genetics Home Reference: breast cancer

    Science.gov (United States)

    ... Email Facebook Twitter Home Health Conditions Breast cancer Breast cancer Printable PDF Open All Close All Enable Javascript to view the expand/collapse boxes. Description Breast cancer is a disease in which certain cells in ...

  9. Breast Cancer and Bone Loss

    Science.gov (United States)

    ... Menopause Map Featured Resource Find an Endocrinologist Search Breast Cancer and Bone Loss July 2010 Download PDFs English ... G. Komen Foundation What is the link between breast cancer and bone loss? Certain treatments for breast cancer ...

  10. Breast Cancer Screening

    International Nuclear Information System (INIS)

    Altaf, Fadwa J.

    2004-01-01

    Breast cancer is a very common health problem in Saudi females that can be reduced by early detection through introducing breast cancer screening. Literature review reveals significant reduction in breast cancer incidence and outcome after the beginning of breast cancer screening. The objectives of this article are to highlight the significance of breast cancer screening in different international societies and to write the major guidelines of breast cancer screening in relation to other departments involved with more emphasis on the Pathology Department guidelines in tissue handling, diagnostic criteria and significance of the diagnosis. This article summaries and acknowledges major work carried out before, and recommends similar modified work in order to meet the requirement for the Saudi society. (author)

  11. Molecular Characterization of ERα-positive and Triple Negative Breast Cancer

    NARCIS (Netherlands)

    Severson, T.M.

    2016-01-01

    Breast cancer, one of the most common of all cancers, is diagnosed in over 1.5 million people world-wide each year. Overall, treatments for breast cancer are considered relatively successful, however recurrence is a clinical problem of paramount importance. Molecular subtypes of breast cancer,

  12. relationship between family history of breast cancer

    African Journals Online (AJOL)

    User

    2013-07-02

    Jul 2, 2013 ... features of familial and sporadic breast cancer in Moroccan patients. METHODS: A ... 1Genetics and Molecular Pathology Laboratory, Medical School of Casablanca, Morocco. 2Department of ... prognosis (9, 10), whereas others have found no significant ..... slightly higher rate of this histological subtype.

  13. Identifying Breast Cancer Oncogenes

    Science.gov (United States)

    2011-10-01

    cells we observed that it promoted transformation of HMLE cells, suggesting a tumor suppressive role of Merlin in breast cancer (Figure 4B). A...08-1-0767 TITLE: Identifying Breast Cancer Oncogenes PRINCIPAL INVESTIGATOR: Yashaswi Shrestha...Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std. Z39.18 W81XWH-08-1-0767 Identifying Breast Cancer Oncogenes Yashaswi Shrestha Dana-Farber

  14. Breast cancer imaging

    International Nuclear Information System (INIS)

    Funke, M.; Villena, C.

    2008-01-01

    Advances in female breast imaging have substantially influenced the diagnosis, therapy, and prognosis of breast cancer in the past few years. Mammography using conventional or digital technique is considered the gold standard for the early detection of breast cancer. Other modalities such as breast ultrasound and contrast-enhanced magnetic resonance imaging of the breast play an important role in diagnostic imaging, staging, and follow-up of breast cancer. Percutaneous needle biopsy is a faster, less invasive, and more cost-effective method than surgical biopsy for verifying the histological diagnosis. New methods such as breast tomosynthesis, contrast-enhanced mammography, and positron emission tomography promise to further improve breast imaging. Further studies are mandatory to adapt these new methods to clinical needs and to evaluate their performance in clinical practice. (orig.) [de

  15. Breast cancer statistics, 2011.

    Science.gov (United States)

    DeSantis, Carol; Siegel, Rebecca; Bandi, Priti; Jemal, Ahmedin

    2011-01-01

    In this article, the American Cancer Society provides an overview of female breast cancer statistics in the United States, including trends in incidence, mortality, survival, and screening. Approximately 230,480 new cases of invasive breast cancer and 39,520 breast cancer deaths are expected to occur among US women in 2011. Breast cancer incidence rates were stable among all racial/ethnic groups from 2004 to 2008. Breast cancer death rates have been declining since the early 1990s for all women except American Indians/Alaska Natives, among whom rates have remained stable. Disparities in breast cancer death rates are evident by state, socioeconomic status, and race/ethnicity. While significant declines in mortality rates were observed for 36 states and the District of Columbia over the past 10 years, rates for 14 states remained level. Analyses by county-level poverty rates showed that the decrease in mortality rates began later and was slower among women residing in poor areas. As a result, the highest breast cancer death rates shifted from the affluent areas to the poor areas in the early 1990s. Screening rates continue to be lower in poor women compared with non-poor women, despite much progress in increasing mammography utilization. In 2008, 51.4% of poor women had undergone a screening mammogram in the past 2 years compared with 72.8% of non-poor women. Encouraging patients aged 40 years and older to have annual mammography and a clinical breast examination is the single most important step that clinicians can take to reduce suffering and death from breast cancer. Clinicians should also ensure that patients at high risk of breast cancer are identified and offered appropriate screening and follow-up. Continued progress in the control of breast cancer will require sustained and increased efforts to provide high-quality screening, diagnosis, and treatment to all segments of the population. Copyright © 2011 American Cancer Society, Inc.

  16. Subtypes of depression in cancer patients : An empirically driven approach

    NARCIS (Netherlands)

    Zhu, Lei; Ranchor, Adelita V; van der Lee, Marije; Garssen, Bert; Sanderman, Robbert; Schroevers, Maya J

    PURPOSE: This study aimed to (1) identify subgroups of cancer patients with distinct subtypes of depression before the start of psychological care, (2) examine whether socio-demographic and medical characteristics distinguished these subtypes, and (3) examine whether people with distinct subtypes

  17. Subtypes of depression in cancer patients: an empirically driven approach

    NARCIS (Netherlands)

    Zhu, Lei; Ranchor, A.V.; van der Lee, Marije; Garssen, Bert; Sanderman, Robbert; Schroevers, Maya J.

    2016-01-01

    Purpose This study aimed to (1) identify subgroups of cancer patients with distinct subtypes of depression before the start of psychological care, (2) examine whether socio-demographic and medical characteristics distinguished these subtypes, and (3) examine whether people with distinct subtypes

  18. DIAGNOSIS OF MUCINOUS BREAST CANCER

    Directory of Open Access Journals (Sweden)

    E. К. Saribekyan

    2014-01-01

    Full Text Available The paper presents the diagnostic results of 27 patients with mucinous breast cancer, which is a rare type of invasive ductal breast cancer accounting for less than 2% of all breast cancers. The role of radiological, histological and cytological examination in the diagnosis of mucinous breast cancer is evaluated. In cases with large tumors, it was difficult to differentiate mucinous breast cancer from fibrocystic and other benign breast lesions.

  19. Tamoxifen therapy improves overall survival in luminal A subtype of ductal carcinoma in situ: a study based on nationwide Korean Breast Cancer Registry database.

    Science.gov (United States)

    Hwang, Ki-Tae; Kim, Eun-Kyu; Jung, Sung Hoo; Lee, Eun Sook; Kim, Seung Il; Lee, Seokwon; Park, Heung Kyu; Kim, Jongjin; Oh, Sohee; Kim, Young A

    2018-06-01

    To determine the prognostic role of tamoxifen therapy for patients with ductal carcinoma in situ (DCIS) according to molecular subtypes. Data of 14,944 patients with DCIS were analyzed. Molecular subtypes were classified into four categories based on expression of estrogen receptor (ER)/progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2). Kaplan-Meier estimator was used for overall survival analysis while Cox proportional hazards model was used for univariate and multivariate analyses. Luminal A subtype (ER/PR+, HER2-) showed higher (P = .009) survival rate than triple-negative (TN) subtype. Tamoxifen therapy group showed superior (P < .001) survival than no-tamoxifen therapy group. It had survival benefit only for luminal A subtype (P = .001). Tamoxifen therapy resulted in higher survival rate in subgroups with positive ER (P = .006), positive PR (P = .009), and negative HER2 (P < .001). In luminal A subtype, tamoxifen therapy showed lower hazard ratio (HR) compared to no-tamoxifen therapy (HR, 0.420; 95% CI 0.250-0.705; P = .001). Tamoxifen therapy was a significant independent factor by multivariate analysis (HR, 0.538; 95% CI 0.306-0.946; P = .031) as well as univariate analysis. Tamoxifen therapy group showed superior prognosis than the no-tamoxifen therapy group. Its prognostic influence was only effective for luminal A subtype. Patients with luminal A subtype showed higher survival rate than those with TN subtype. Active tamoxifen therapy is recommended for DCIS patients with luminal A subtype, and routine tests for ER, PR, and HER2 should be considered for DCIS.

  20. Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data.

    Directory of Open Access Journals (Sweden)

    Taosheng Xu

    Full Text Available Identifying cancer subtypes is an important component of the personalised medicine framework. An increasing number of computational methods have been developed to identify cancer subtypes. However, existing methods rarely use information from gene regulatory networks to facilitate the subtype identification. It is widely accepted that gene regulatory networks play crucial roles in understanding the mechanisms of diseases. Different cancer subtypes are likely caused by different regulatory mechanisms. Therefore, there are great opportunities for developing methods that can utilise network information in identifying cancer subtypes.In this paper, we propose a method, weighted similarity network fusion (WSNF, to utilise the information in the complex miRNA-TF-mRNA regulatory network in identifying cancer subtypes. We firstly build the regulatory network where the nodes represent the features, i.e. the microRNAs (miRNAs, transcription factors (TFs and messenger RNAs (mRNAs and the edges indicate the interactions between the features. The interactions are retrieved from various interatomic databases. We then use the network information and the expression data of the miRNAs, TFs and mRNAs to calculate the weight of the features, representing the level of importance of the features. The feature weight is then integrated into a network fusion approach to cluster the samples (patients and thus to identify cancer subtypes. We applied our method to the TCGA breast invasive carcinoma (BRCA and glioblastoma multiforme (GBM datasets. The experimental results show that WSNF performs better than the other commonly used computational methods, and the information from miRNA-TF-mRNA regulatory network contributes to the performance improvement. The WSNF method successfully identified five breast cancer subtypes and three GBM subtypes which show significantly different survival patterns. We observed that the expression patterns of the features in some mi

  1. Increasing Breast Cancer Surveillance among African American Breast Cancer Survivors

    National Research Council Canada - National Science Library

    Thompson, Hayley

    2005-01-01

    ...; they also are at considerable risk for breast cancer recurrence. According to the American Society of Clinical Oncology, survivors should undergo careful breast cancer surveillance, including annual mammography and breast self-exam...

  2. Epigenetic suppression of neprilysin regulates breast cancer invasion.

    Science.gov (United States)

    Stephen, H M; Khoury, R J; Majmudar, P R; Blaylock, T; Hawkins, K; Salama, M S; Scott, M D; Cosminsky, B; Utreja, N K; Britt, J; Conway, R E

    2016-03-07

    In women, invasive breast cancer is the second most common cancer and the second cause of cancer-related death. Therefore, identifying novel regulators of breast cancer invasion could lead to additional biomarkers and therapeutic targets. Neprilysin, a cell-surface enzyme that cleaves and inactivates a number of substrates including endothelin-1 (ET1), has been implicated in breast cancer, but whether neprilysin promotes or inhibits breast cancer cell progression and metastasis is unclear. Here, we asked whether neprilysin expression predicts and functionally regulates breast cancer cell invasion. RT-PCR and flow cytometry analysis of MDA-MB-231 and MCF-7 breast cancer cell lines revealed decreased neprilysin expression compared with normal epithelial cells. Expression was also suppressed in invasive ductal carcinoma (IDC) compared with normal tissue. In addition, in vtro invasion assays demonstrated that neprilysin overexpression decreased breast cancer cell invasion, whereas neprilysin suppression augmented invasion. Furthermore, inhibiting neprilysin in MCF-7 breast cancer cells increased ET1 levels significantly, whereas overexpressing neprilysin decreased extracellular-signal related kinase (ERK) activation, indicating that neprilysin negatively regulates ET1-induced activation of mitogen-activated protein kinase (MAPK) signaling. To determine whether neprilysin was epigenetically suppressed in breast cancer, we performed bisulfite conversion analysis of breast cancer cells and clinical tumor samples. We found that the neprilysin promoter was hypermethylated in breast cancer; chemical reversal of methylation in MDA-MB-231 cells reactivated neprilysin expression and inhibited cancer cell invasion. Analysis of cancer databases revealed that neprilysin methylation significantly associates with survival in stage I IDC and estrogen receptor-negative breast cancer subtypes. These results demonstrate that neprilysin negatively regulates the ET axis in breast cancer

  3. Breast cancer biology for the radiation oncologist

    Energy Technology Data Exchange (ETDEWEB)

    Strauss, Jonathan [Northwestern Univ., Chicago, IL (United States). Dept. of Radiation Oncology; Small, William [Loyola Univ. Chicago, Maywood, IL (United States). Stritch School of Medicine, Cardianl Bernardin Cancer Center; Woloschak, Gayle E. (ed.) [Northwestern Univ. Feinberg, Chicago, IL (United States). School of Medicine

    2015-10-01

    This is the first textbook of its kind devoted to describing the biological complexities of breast cancer in a way that is relevant to the radiation oncologist. Radiation Oncology has long treated breast cancer as a single biological entity, with all treatment decisions being based on clinical and pathologic risk factors. We are now beginning to understand that biological subtypes of breast cancer may have different risks of recurrence as well as different intrinsic sensitivity to radiotherapy. Multi-gene arrays that have for years been used to predict the risk of distant recurrence and the value of systemic chemotherapy may also have utility in predicting the risk of local recurrence. Additionally, the targeted agents used to treat breast cancer may interact with radiotherapy in ways that can be beneficial or undesirable. All of these emerging issues are extensively discussed in this book, and practical evidence-based treatment recommendations are presented whenever possible.

  4. Breast cancer biology for the radiation oncologist

    International Nuclear Information System (INIS)

    Strauss, Jonathan; Small, William; Woloschak, Gayle E.

    2015-01-01

    This is the first textbook of its kind devoted to describing the biological complexities of breast cancer in a way that is relevant to the radiation oncologist. Radiation Oncology has long treated breast cancer as a single biological entity, with all treatment decisions being based on clinical and pathologic risk factors. We are now beginning to understand that biological subtypes of breast cancer may have different risks of recurrence as well as different intrinsic sensitivity to radiotherapy. Multi-gene arrays that have for years been used to predict the risk of distant recurrence and the value of systemic chemotherapy may also have utility in predicting the risk of local recurrence. Additionally, the targeted agents used to treat breast cancer may interact with radiotherapy in ways that can be beneficial or undesirable. All of these emerging issues are extensively discussed in this book, and practical evidence-based treatment recommendations are presented whenever possible.

  5. Contralateral breast cancer risk

    International Nuclear Information System (INIS)

    Unnithan, Jaya; Macklis, Roger M.

    2001-01-01

    The use of breast-conserving treatment approaches for breast cancer has now become a standard option for early stage disease. Numerous randomized studies have shown medical equivalence when mastectomy is compared to lumpectomy followed by radiotherapy for the local management of this common problem. With an increased emphasis on patient involvement in the therapeutic decision making process, it is important to identify and quantify any unforeseen risks of the conservation approach. One concern that has been raised is the question of radiation- related contralateral breast cancer after breast radiotherapy. Although most studies do not show statistically significant evidence that patients treated with breast radiotherapy are at increased risk of developing contralateral breast cancer when compared to control groups treated with mastectomy alone, there are clear data showing the amount of scattered radiation absorbed by the contralateral breast during a routine course of breast radiotherapy is considerable (several Gy) and is therefore within the range where one might be concerned about radiogenic contralateral tumors. While radiation related risks of contralateral breast cancer appear to be small enough to be statistically insignificant for the majority of patients, there may exist a smaller subset which, for genetic or environmental reasons, is at special risk for scatter related second tumors. If such a group could be predicted, it would seem appropriate to offer either special counselling or special prevention procedures aimed at mitigating this second tumor risk. The use of genetic testing, detailed analysis of breast cancer family history, and the identification of patients who acquired their first breast cancer at a very early age may all be candidate screening procedures useful in identifying such at- risk groups. Since some risk mitigation strategies are convenient and easy to utilize, it makes sense to follow the classic 'ALARA' (as low as reasonably

  6. PET scan for breast cancer

    Science.gov (United States)

    ... radioactive substance (called a tracer) to look for breast cancer. This tracer can help identify areas of cancer ... only after a woman has been diagnosed with breast cancer. It is done to see if the cancer ...

  7. Breast cancer and HIV

    African Journals Online (AJOL)

    Intuition might dictate that the outcome of both surgical and adjuvant treatment of breast cancer in these patients would be poor because of the effect on immunity. We recently published a prospective cohort study which compared the treatment outcomes of breast cancer in HIV- infected and -uninfected patients.3 This was ...

  8. Male breast cancer

    DEFF Research Database (Denmark)

    Lautrup, Marianne D; Thorup, Signe S; Jensen, Vibeke

    2018-01-01

    OBJECTIVE: Describe prognostic parameters of Danish male breast cancer patients (MBCP) diagnosed from 1980-2009. Determine all-cause mortality compared to the general male population and analyze survival/mortality compared with Danish female breast cancer patients (FBCP) in the same period...

  9. CDC Vital Signs: Breast Cancer

    Science.gov (United States)

    ... 2.65 MB] Read the MMWR Science Clips Breast Cancer Black Women Have Higher Death Rates from Breast ... of Page U.S. State Info Number of Additional Breast Cancer Deaths Among Black Women, By State SOURCE: National ...

  10. [Fibrocystic breast disease--breast cancer sequence].

    Science.gov (United States)

    Habor, V; Habor, A; Copotoiu, C; Panţîru, A

    2010-01-01

    Fibrocystic breast disease has developed a major issue: the breast cancer sequence. Its involvement regarding the increse of breast cancer risk has 2 aspects: it may be either the marker of a prone tissue or a premalignant hystological deffect. Difficult differential diagnosis of benign proliferative breast lession and carcinoma led to the idea of sequency between the two: cancer does not initiate on normal mammary epithelia; it takes several proliferative stages for it to occur. In our series we analized a number of 677 breast surgical procedures where the pathologic examination reveals 115 cases (17%) of coexistence between cancer and fibrocystic breast disease. This aspect has proved to be related to earlier debut of breast cancer, suggesting that epithelial hyperplasia is a risk factor for breast cancer.

  11. Molecular basis of the triple negative breast cancer

    Directory of Open Access Journals (Sweden)

    Ayse Feyda Nursal

    2015-06-01

    Full Text Available Breast cancer is the most common type of cancer in women and more than 1 million breast cancer cases are diagnosed each year all over the world. Breast cancer is a complex and heterogeneous disease in terms of its molecular structure, mutation type, metastase properties, clinical course and therapeutic response. Breast cancer is divided into subtypes based on expression properties of molecular markers as estrogen receptor, progestron receptor, human epidermal growth factor receptor 2. Triple-negative breast cancer is characterized by the lack of tumors that estrogen receptor, progestron receptor, human epidermal growth factor receptor 2 gene expression. These type of tumors lead to agressive clinical course due to unresponsiveness to systemic endocrine therapy and poor prognosis. Triple negative breast cancer constitutes 10-20% of all breast cancers. It affects generally young and African-American women. Triple negative breast cancer have several subtypes based on the gene expression properties. The majority of them are basal-like breast cancers. In this review, current literature is revised and summarized with respect to the molecular basis of triple negative cancers. [Archives Medical Review Journal 2015; 24(2.000: 251-259

  12. Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer

    Science.gov (United States)

    Fernand ez-Martinez, Aranzazu; Pascual, Tomás; Perrone, Giuseppe; Morales, Serafin; de la Haba, Juan; González-Rivera, Milagros; Galván, Patricia; Zalfa, Francesca; Amato, Michela; Gonzalez, Lucia; Prats, Miquel; Rojo, Federico; Manso, Luis; Paré, Laia; Alonso, Immaculada; Albanell, Joan; Vivancos, Ana; González, Antonio; Matito, Judit; González, Sonia; Fernandez, Pedro; Adamo, Barbara; Muñoz, Montserrat; Viladot, Margarita; Font, Carme; Aya, Francisco; Vidal, Maria; Caballero, Rosalía; Carrasco, Eva; Altomare, Vittorio; Tonini, Giuseppe; Prat, Aleix; Martin, Miguel

    2017-01-01

    PAM50/Prosigna gene expression-based assay identifies three categorical risk of relapse groups (ROR-low, ROR-intermediate and ROR-high) in post-menopausal patients with estrogen receptor estrogen receptor-positive (ER+)/ HER2-negative (HER2-) early breast cancer. Low risk patients might not need adjuvant chemotherapy since their risk of distant relapse at 10-years is below 10% with endocrine therapy only. In this study, 517 consecutive patients with ER+/HER2- and node-negative disease were evaluated for Ki67 and Prosigna. Most of Luminal A tumors (65.6%) and ROR-low tumors (70.9%) had low Ki67 values (0-10%); however, the percentage of patients with ROR-medium or ROR-high disease within the Ki67 0-10% group was 42.7% (with tumor sizes ≤2 cm) and 33.9% (with tumor sizes > 2 cm). Finally, we found that the optimal Ki67 cutoff for identifying Luminal A or ROR-low tumors was 14%. Ki67 as a surrogate biomarker in identifying Prosigna low-risk outcome patients or Luminal A disease in the clinical setting is unreliable. In the absence of a well-validated prognostic gene expression-based assay, the optimal Ki67 cutoff for identifying low-risk outcome patients or Luminal A disease remains at 14%. PMID:28423537

  13. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes

    Directory of Open Access Journals (Sweden)

    Xinguo Lu

    2018-01-01

    Full Text Available With advances in next-generation sequencing(NGS technologies, a large number of multiple types of high-throughput genomics data are available. A great challenge in exploring cancer progression is to identify the driver genes from the variant genes by analyzing and integrating multi-types genomics data. Breast cancer is known as a heterogeneous disease. The identification of subtype-specific driver genes is critical to guide the diagnosis, assessment of prognosis and treatment of breast cancer. We developed an integrated frame based on gene expression profiles and copy number variation (CNV data to identify breast cancer subtype-specific driver genes. In this frame, we employed statistical machine-learning method to select gene subsets and utilized an module-network analysis method to identify potential candidate driver genes. The final subtype-specific driver genes were acquired by paired-wise comparison in subtypes. To validate specificity of the driver genes, the gene expression data of these genes were applied to classify the patient samples with 10-fold cross validation and the enrichment analysis were also conducted on the identified driver genes. The experimental results show that the proposed integrative method can identify the potential driver genes and the classifier with these genes acquired better performance than with genes identified by other methods.

  14. Tubal ligation and risk of ovarian cancer subtypes

    DEFF Research Database (Denmark)

    Sieh, Weiva; Salvador, Shannon; McGuire, Valerie

    2013-01-01

    Tubal ligation is a protective factor for ovarian cancer, but it is unknown whether this protection extends to all invasive histological subtypes or borderline tumors. We undertook an international collaborative study to examine the association between tubal ligation and ovarian cancer subtypes....

  15. Defining the cellular precursors to human breast cancer

    Science.gov (United States)

    Keller, Patricia J.; Arendt, Lisa M.; Skibinski, Adam; Logvinenko, Tanya; Klebba, Ina; Dong, Shumin; Smith, Avi E.; Prat, Aleix; Perou, Charles M.; Gilmore, Hannah; Schnitt, Stuart; Naber, Stephen P.; Garlick, Jonathan A.; Kuperwasser, Charlotte

    2012-01-01

    Human breast cancers are broadly classified based on their gene-expression profiles into luminal- and basal-type tumors. These two major tumor subtypes express markers corresponding to the major differentiation states of epithelial cells in the breast: luminal (EpCAM+) and basal/myoepithelial (CD10+). However, there are also rare types of breast cancers, such as metaplastic carcinomas, where tumor cells exhibit features of alternate cell types that no longer resemble breast epithelium. Until now, it has been difficult to identify the cell type(s) in the human breast that gives rise to these various forms of breast cancer. Here we report that transformation of EpCAM+ epithelial cells results in the formation of common forms of human breast cancer, including estrogen receptor-positive and estrogen receptor-negative tumors with luminal and basal-like characteristics, respectively, whereas transformation of CD10+ cells results in the development of rare metaplastic tumors reminiscent of the claudin-low subtype. We also demonstrate the existence of CD10+ breast cells with metaplastic traits that can give rise to skin and epidermal tissues. Furthermore, we show that the development of metaplastic breast cancer is attributable, in part, to the transformation of these metaplastic breast epithelial cells. These findings identify normal cellular precursors to human breast cancers and reveal the existence of a population of cells with epidermal progenitor activity within adult human breast tissues. PMID:21940501

  16. Ovarian Cancer Risk Factors by Histologic Subtype: An Analysis From the Ovarian Cancer Cohort Consortium.

    Science.gov (United States)

    Wentzensen, Nicolas; Poole, Elizabeth M; Trabert, Britton; White, Emily; Arslan, Alan A; Patel, Alpa V; Setiawan, V Wendy; Visvanathan, Kala; Weiderpass, Elisabete; Adami, Hans-Olov; Black, Amanda; Bernstein, Leslie; Brinton, Louise A; Buring, Julie; Butler, Lesley M; Chamosa, Saioa; Clendenen, Tess V; Dossus, Laure; Fortner, Renee; Gapstur, Susan M; Gaudet, Mia M; Gram, Inger T; Hartge, Patricia; Hoffman-Bolton, Judith; Idahl, Annika; Jones, Michael; Kaaks, Rudolf; Kirsh, Victoria; Koh, Woon-Puay; Lacey, James V; Lee, I-Min; Lundin, Eva; Merritt, Melissa A; Onland-Moret, N Charlotte; Peters, Ulrike; Poynter, Jenny N; Rinaldi, Sabina; Robien, Kim; Rohan, Thomas; Sandler, Dale P; Schairer, Catherine; Schouten, Leo J; Sjöholm, Louise K; Sieri, Sabina; Swerdlow, Anthony; Tjonneland, Anna; Travis, Ruth; Trichopoulou, Antonia; van den Brandt, Piet A; Wilkens, Lynne; Wolk, Alicja; Yang, Hannah P; Zeleniuch-Jacquotte, Anne; Tworoger, Shelley S

    2016-08-20

    An understanding of the etiologic heterogeneity of ovarian cancer is important for improving prevention, early detection, and therapeutic approaches. We evaluated 14 hormonal, reproductive, and lifestyle factors by histologic subtype in the Ovarian Cancer Cohort Consortium (OC3). Among 1.3 million women from 21 studies, 5,584 invasive epithelial ovarian cancers were identified (3,378 serous, 606 endometrioid, 331 mucinous, 269 clear cell, 1,000 other). By using competing-risks Cox proportional hazards regression stratified by study and birth year and adjusted for age, parity, and oral contraceptive use, we assessed associations for all invasive cancers by histology. Heterogeneity was evaluated by likelihood ratio test. Most risk factors exhibited significant heterogeneity by histology. Higher parity was most strongly associated with endometrioid (relative risk [RR] per birth, 0.78; 95% CI, 0.74 to 0.83) and clear cell (RR, 0.68; 95% CI, 0.61 to 0.76) carcinomas (P value for heterogeneity [P-het] < .001). Similarly, age at menopause, endometriosis, and tubal ligation were only associated with endometrioid and clear cell tumors (P-het ≤ .01). Family history of breast cancer (P-het = .008) had modest heterogeneity. Smoking was associated with an increased risk of mucinous (RR per 20 pack-years, 1.26; 95% CI, 1.08 to 1.46) but a decreased risk of clear cell (RR, 0.72; 95% CI, 0.55 to 0.94) tumors (P-het = .004). Unsupervised clustering by risk factors separated endometrioid, clear cell, and low-grade serous carcinomas from high-grade serous and mucinous carcinomas. The heterogeneous associations of risk factors with ovarian cancer subtypes emphasize the importance of conducting etiologic studies by ovarian cancer subtypes. Most established risk factors were more strongly associated with nonserous carcinomas, which demonstrate challenges for risk prediction of serous cancers, the most fatal subtype. © 2016 by American Society of Clinical Oncology.

  17. Urinary estrogen metabolites and breast cancer

    DEFF Research Database (Denmark)

    Dallal, Cher M; Stone, Roslyn A; Cauley, Jane A

    2013-01-01

    Background: Circulating estrogens are associated with increased breast cancer risk, yet the role of estrogen metabolites in breast carcinogenesis remains unclear. This combined analysis of 5 published studies evaluates urinary 2-hydroxyestrone (2-OHE1), 16a-hydroxyestrone (16a-OHE1......), and their ratio (2:16a-OHE1) in relation to breast cancer risk. ¿Methods: Primary data on 726 premenopausal women (183 invasive breast cancer cases and 543 controls) and 1,108 postmenopausal women (385 invasive breast cancer cases and 723 controls) were analyzed. Urinary estrogen metabolites were measured using...... premenopausal 2:16a-OHE1 was suggestive of reduced breast cancer risk overall (study-adjusted ORIIIvsI=0.80; 95% CI: 0.49-1.32) and for estrogen receptor negative (ER-) subtype (ORIIIvsI=0.33; 95% CI: 0.13-0.84). Among postmenopausal women, 2:16a-OHE1 was unrelated to breast cancer risk (study-adjusted ORIIIvs...

  18. Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype

    DEFF Research Database (Denmark)

    Figueroa, Jonine D; Garcia-Closas, Montserrat; Humphreys, Manjeet

    2011-01-01

    A genome-wide association study (GWAS) identified single-nucleotide polymorphisms (SNPs) at 1p11.2 and 14q24.1 (RAD51L1) as breast cancer susceptibility loci. The initial GWAS suggested stronger effects for both loci for estrogen receptor (ER)-positive tumors. Using data from the Breast Cancer As...

  19. Docosahexaenoic Acid in Preventing Recurrence in Breast Cancer Survivors

    Science.gov (United States)

    2016-06-20

    Benign Breast Neoplasm; Ductal Breast Carcinoma In Situ; Invasive Breast Carcinoma; Lobular Breast Carcinoma In Situ; Paget Disease of the Breast; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  20. Drugs Approved for Breast Cancer

    Science.gov (United States)

    ... Ask about Your Treatment Research Drugs Approved for Breast Cancer This page lists cancer drugs approved by the ... are not listed here. Drugs Approved to Prevent Breast Cancer Evista (Raloxifene Hydrochloride) Raloxifene Hydrochloride Tamoxifen Citrate Drugs ...

  1. Broccoli Sprout Extract in Treating Patients With Breast Cancer

    Science.gov (United States)

    2018-06-04

    Ductal Breast Carcinoma; Ductal Breast Carcinoma In Situ; Estrogen Receptor Negative; Estrogen Receptor Positive; Invasive Breast Carcinoma; Lobular Breast Carcinoma; Postmenopausal; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer

  2. Histology and Immunophenotype of Invasive Lobular Breast Cancer. Daily Practice and Pitfalls

    OpenAIRE

    Varga, Z; Mallon, E

    2009-01-01

    Invasive lobular carcinomas (ILC) represent the most common subtype of invasive breast cancer and account for about 5-15% of all breast cancer cases. Invasive lobular carcinoma is often accompanied by in situ lesions, by lobular neoplasia (LN). Invasive lobular carcinomas display diverse histologic patterns varying from classical through solid to pleomorphic subtypes. When analyzing histological subtypes, the classical variant is reported to have a more favorable outcome. The majority of inva...

  3. Correlation of breast cancer subtypes, based on estrogen receptor, progesterone receptor, and HER2, with functional imaging parameters from {sup 68}Ga-RGD PET/CT and {sup 18}F-FDG PET/CT

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Hai-Jeon [Seoul National University College of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of); Seoul National University College of Medicine, The Institute of Radiation Medicine, Seoul (Korea, Republic of); Ewha Womans University School of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of); Kang, Keon Wook; Jeong, Jae Min; Chung, June-Key [Seoul National University College of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of); Seoul National University College of Medicine, Department of Biomedical Sciences, Seoul (Korea, Republic of); Seoul National University College of Medicine, The Institute of Radiation Medicine, Seoul (Korea, Republic of); Seoul National University, Cancer Research Institute, Seoul (Korea, Republic of); Chun, In Kook [Seoul National University College of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of); Kangwon National University Hospital, Department of Nuclear Medicine, Chuncheon, Kangwon-Do (Korea, Republic of); Cho, Nariya [Seoul National University College of Medicine, Department of Radiology, Jongno-gu, Seoul (Korea, Republic of); Im, Seock-Ah [Seoul National University College of Medicine, Department of Internal Medicine, Seoul (Korea, Republic of); Jeong, Sunjoo [Dankook University, Department of Molecular Biology, Yongin (Korea, Republic of); Lee, Song [Seoul National University College of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of); Seoul National University College of Medicine, The Institute of Radiation Medicine, Seoul (Korea, Republic of); Jung, Kyeong Cheon [Seoul National University College of Medicine, Department of Pathology, Seoul (Korea, Republic of); Lee, Yun-Sang [Seoul National University College of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of); Seoul National University College of Medicine, Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul (Korea, Republic of); Lee, Dong Soo [Seoul National University College of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of); Seoul National University College of Medicine, The Institute of Radiation Medicine, Seoul (Korea, Republic of); Seoul National University, Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul (Korea, Republic of); Moon, Woo Kyung [Seoul National University College of Medicine, Department of Radiology, Jongno-gu, Seoul (Korea, Republic of); Seoul National University College of Medicine, Department of Biomedical Sciences, Seoul (Korea, Republic of); Seoul National University College of Medicine, The Institute of Radiation Medicine, Seoul (Korea, Republic of)

    2014-08-15

    Imaging biomarkers from functional imaging modalities were assessed as potential surrogate markers of disease status. Specifically, in this prospective study, we investigated the relationships between functional imaging parameters and histological prognostic factors and breast cancer subtypes. In total, 43 patients with large or locally advanced invasive ductal carcinoma (IDC) were analyzed (47.6 ± 7.5 years old). {sup 68}Ga-Labeled arginine-glycine-aspartic acid (RGD) and {sup 18}F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) were performed. The maximum and average standardized uptake values (SUV{sub max} and SUV{sub avg}) from RGD PET/CT and SUV{sub max} and SUV{sub avg} from FDG PET/CT were the imaging parameters used. For histological prognostic factors, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression was identified using immunohistochemistry (IHC) or fluorescent in situ hybridization (FISH). Four breast cancer subtypes, based on ER/PR and HER2 expression (ER/PR+,Her2-, ER/PR+,Her2+, ER/PR-,Her2+, and ER/PR-,Her2-), were considered. Quantitative FDG PET parameters were significantly higher in the ER-negative group (15.88 ± 8.73 vs 10.48 ± 6.01, p = 0.02 for SUV{sub max}; 9.40 ± 5.19 vs 5.92 ± 4.09, p = 0.02 for SUV{sub avg}) and the PR-negative group (8.37 ± 4.94 vs 4.79 ± 3.93, p = 0.03 for SUV{sub avg}). Quantitative RGD PET parameters were significantly higher in the HER2-positive group (2.42 ± 0.59 vs 2.90 ± 0.75, p = 0.04 for SUV{sub max}; 1.60 ± 0.38 vs 1.95 ± 0.53, p = 0.04 for SUV{sub avg}) and showed a significant positive correlation with the HER2/CEP17 ratio (r = 0.38, p = 0.03 for SUV{sub max} and r = 0.46, p < 0.01 for SUV{sub avg}). FDG PET parameters showed significantly higher values in the ER/PR-,Her2- subgroup versus the ER/PR+,Her2- or ER/PR+,Her2+ subgroups, while RGD PET parameters showed significantly lower values in the ER

  4. Early breast cancer

    International Nuclear Information System (INIS)

    Dongen, J.A. van

    1989-01-01

    The therapy of early breast cancer has been changing during the last decennium. It requires a multi-disciplinary approach and in each of these disciplines improvements have been implemented. The result is that treatment schedules can now be adapted to specific subgroups. In this review early breast cancer is defined as operable disease, using the criteria set out by Haagensen. Emphasis is given to describing the new developments in prognostic criteria, since these form the basis for creating subgroups for specific treatment schedules. Distinction is made between the factors relating to growth rate and those relating to metastatic potential. Data on screening promises a beneficial effect of the implementation of screening in national health care programs. Important shifts are seen in treatment schedules; the place of postoperative radiotherapy after classic ablative treatment is being challenged, whereas it plays a major role in the new breast conserving therapy schedules. The data mentioned in the review suggest that a large proportion of 'operable' cases can be treated with breast conservation but details in the technique of breast conserving therapy are still under investigation. They form a major part of the coming prospective studies in breast cancer. Improvements in reconstruction techniques, creating better cosmetic results, make reconstruction more competitive with breast conserving therapy. The use of chemotherapy and endocrine manipulation in early breast cancer has now been clearly confirmed by the overview technique by the Peto-group, thanks to all efforts of individual trialists together. (orig.)

  5. Obesity and Breast Cancer.

    Science.gov (United States)

    Fortner, Renée T; Katzke, Verena; Kühn, Tilman; Kaaks, Rudolf

    The relationship between adiposity and breast cancer risk and prognosis is complex, with associations that differ depending on when body size is assessed (e.g., pre- vs. postmenopausal obesity) and when breast cancer is diagnosed (i.e., pre- vs. postmenopausal disease). Further, the impact of obesity on risk differs by tumor hormone receptor status (e.g., estrogen (ER) and progesterone (PR) receptor) and, among postmenopausal women, use of exogenous hormones (i.e., hormone replacement therapy (HRT)). In the context of these complexities, this review focuses on associations between childhood and adolescent adiposity, general adiposity, weight changes (i.e., loss and gain), abdominal adiposity, and breast cancer risk and survival. Finally, we discuss potential mechanisms linking adiposity to breast cancer.

  6. Preeclampsia and breast cancer

    DEFF Research Database (Denmark)

    Pacheco, Nadja Livia Pekkola; Andersen, Anne-Marie Nybo; Kamper-Jørgensen, Mads

    2015-01-01

    BACKGROUND: In parous women preeclampsia has been associated with reduced risk of developing breast cancer. Characteristics of births following preeclamptic pregnancies may help understand mechanisms involved in the breast cancer risk reduction inferred by preeclampsia. METHODS: We conducted...... a register-based cohort study of all Danish women giving birth during 1978-2010 (n = 778,701). The association between preeclampsia and breast cancer was evaluated overall and according to birth characteristics by means of incidence rate ratios (IRR) estimated in Poisson regression models. RESULTS: Compared...... with women with non-preeclamptic pregnancies only, women with one or more preeclamptic pregnancies were 19% significantly less likely to develop breast cancer (IRR = 0.81 [95% CI 0.72-0.93]). We found some indication of greater risk reduction in women with term births, one or more previous births...

  7. Learning about Breast Cancer

    Science.gov (United States)

    Skip to main content Learning About Breast Cancer Enter Search Term(s): Español Research Funding An Overview Bioinformatics Current Grants Education and Training Funding Extramural Research News Features Funding Divisions Funding ...

  8. Breast cancer screening

    International Nuclear Information System (INIS)

    Vandenbroucke, A.

    1987-01-01

    Many studies have shown that breast cancer screening is able to reduce breast cancer mortality, including the HIP study, the Swedish Trial and the Netherlands studies. Mammography is considered as the most effective method for breast cancer screening but it might be unfeasible for some reasons: - the population acceptability of the method might be low. Indeed, most populations of the South of Europe are less compliant to mass screening than populations of the North of Europe; - the medical equipment and personnel - radiologists and pathologists - might be insufficient; - it might be too costly for the National Health Service, specially where the incidence rate of breast cancer is relatively low (i.e. Greece, Portugal). The validity of screening tests is judged by their sensitivity and their specificity

  9. 14. Breast cancer prevention.

    Science.gov (United States)

    Salih, A K; Fentiman, I S

    2002-05-01

    Increased risk of breast cancer may result from potentially modifiable causes such as endogenous hormone levels, obesity, HRT, and non-lactation, or non-modifiable factors including genetic susceptibility and increasing age. The Gail model, based on known factors, may be useful for estimating lifetime risk in some individuals, but those risk factors that are easier to modify may have a limited impact on the totality of breast cancer. Tamoxifen prevention still remains contentious, with a significant reduction in risk of breast cancer in women given tamoxifen in the NSABP P1 study but no effect in the Italian and Royal Marsden trials. Raloxifene, tested in the MORE trial, reduced the incidence of breast cancer by 65% but this was restricted to oestrogen receptor positive tumours. Lifestyle factors such as diet, obesity, exercise and age at first full term pregnancy and number of pregnancies have a mild to moderate impact on risk, so may have little effect on the incidence of breast cancer. Reduction of alcohol intake could lead to a modest reduction in the risk of breast cancer but possibly adversely affect other diseases. Fat reduction and GnRH analogue reduce mammographic density but have not yet been shown to affect risk. For women with BRCA1/2 mutation, options include unproven surveillance and prophylactic mastectomy with an unquantified risk reduction. Interesting new candidates for chemoprevention include aromatase inhibitors, new generation SERMs, demethylating agents, non-selective COX inhibitors, tyrosine kinase inhibitors and polyamine synthetic inhibitors.

  10. Integrative Analysis of Prognosis Data on Multiple Cancer Subtypes

    Science.gov (United States)

    Liu, Jin; Huang, Jian; Zhang, Yawei; Lan, Qing; Rothman, Nathaniel; Zheng, Tongzhang; Ma, Shuangge

    2014-01-01

    Summary In cancer research, profiling studies have been extensively conducted, searching for genes/SNPs associated with prognosis. Cancer is diverse. Examining the similarity and difference in the genetic basis of multiple subtypes of the same cancer can lead to a better understanding of their connections and distinctions. Classic meta-analysis methods analyze each subtype separately and then compare analysis results across subtypes. Integrative analysis methods, in contrast, analyze the raw data on multiple subtypes simultaneously and can outperform meta-analysis methods. In this study, prognosis data on multiple subtypes of the same cancer are analyzed. An AFT (accelerated failure time) model is adopted to describe survival. The genetic basis of multiple subtypes is described using the heterogeneity model, which allows a gene/SNP to be associated with prognosis of some subtypes but not others. A compound penalization method is developed to identify genes that contain important SNPs associated with prognosis. The proposed method has an intuitive formulation and is realized using an iterative algorithm. Asymptotic properties are rigorously established. Simulation shows that the proposed method has satisfactory performance and outperforms a penalization-based meta-analysis method and a regularized thresholding method. An NHL (non-Hodgkin lymphoma) prognosis study with SNP measurements is analyzed. Genes associated with the three major subtypes, namely DLBCL, FL, and CLL/SLL, are identified. The proposed method identifies genes that are different from alternatives and have important implications and satisfactory prediction performance. PMID:24766212

  11. Reproductive History and Breast Cancer Risk

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... 4 ). This risk reduction is limited to hormone receptor –positive breast cancer; age at first full-term ...

  12. Technical validation of an RT-qPCR in vitro diagnostic test system for the determination of breast cancer molecular subtypes by quantification of ERBB2, ESR1, PGR and MKI67 mRNA levels from formalin-fixed paraffin-embedded breast tumor specimens.

    Science.gov (United States)

    Laible, Mark; Schlombs, Kornelia; Kaiser, Katharina; Veltrup, Elke; Herlein, Stefanie; Lakis, Sotiris; Stöhr, Robert; Eidt, Sebastian; Hartmann, Arndt; Wirtz, Ralph M; Sahin, Ugur

    2016-07-07

    MammaTyper is a novel CE-marked in vitro diagnostic RT-qPCR assay which assigns routinely processed breast cancer specimens into the molecular subtypes Luminal A-like, Luminal B-like (HER2 positive or negative), HER2 positive (non-luminal) and Triple negative (ductal) according to the mRNA expression of ERBB2, ESR1, PGR and MKI67 and the St Gallen consensus surrogate clinical definition. Until now and regarding formalin-fixed, paraffin-embedded material (FFPE), this has been a task mostly accomplished by immunohistochemistry (IHC). However the discrepancy rates of IHC for the four breast cancer biomarkers are frequently under debate, especially for Ki-67 which carries the highest degree of inter- and even intra-observer variability. Herein we describe a series of studies in FFPE specimens which aim to fully validate the analytical performance of the MammaTyper assay, including the site to site reproducibility of the individual marker measurements. Tumor RNA was extracted with the novel RNXtract RNA extraction kit. Synthetic RNA was used to assess the sensitivity of the RNXtract kit. DNA and RNA specific qPCR assays were used so as to determine analyte specificity of RNXtract. For the assessment of limit of blank, limit of detection, analytical measurement range and PCR efficiency of the MammaTyper kit serial dilutions of samples were used. Analytical precision studies of MammaTyper were built around two different real time PCR platforms and involved breast tumor samples belonging to different subtypes analyzed across multiple sites and under various stipulated conditions. The MammaTyper assay robustness was tested against RNA input variations, alternative extraction methods and tumor cell content. Individual assays were linear up to at least 32.33 and 33.56 Cqs (quantification cycles) for the two qPCR platforms tested. PCR efficiency ranged from 99 to 109 %. In qPCR platform 1, estimates for assay specific inter-site standard deviations (SD) were between 0.14 and

  13. Technical validation of an RT-qPCR in vitro diagnostic test system for the determination of breast cancer molecular subtypes by quantification of ERBB2, ESR1, PGR and MKI67 mRNA levels from formalin-fixed paraffin-embedded breast tumor specimens

    International Nuclear Information System (INIS)

    Laible, Mark; Schlombs, Kornelia; Kaiser, Katharina; Veltrup, Elke; Herlein, Stefanie; Lakis, Sotiris; Stöhr, Robert; Eidt, Sebastian; Hartmann, Arndt; Wirtz, Ralph M.; Sahin, Ugur

    2016-01-01

    MammaTyper is a novel CE-marked in vitro diagnostic RT-qPCR assay which assigns routinely processed breast cancer specimens into the molecular subtypes Luminal A-like, Luminal B-like (HER2 positive or negative), HER2 positive (non-luminal) and Triple negative (ductal) according to the mRNA expression of ERBB2, ESR1, PGR and MKI67 and the St Gallen consensus surrogate clinical definition. Until now and regarding formalin-fixed, paraffin-embedded material (FFPE), this has been a task mostly accomplished by immunohistochemistry (IHC). However the discrepancy rates of IHC for the four breast cancer biomarkers are frequently under debate, especially for Ki-67 which carries the highest degree of inter- and even intra-observer variability. Herein we describe a series of studies in FFPE specimens which aim to fully validate the analytical performance of the MammaTyper assay, including the site to site reproducibility of the individual marker measurements. Tumor RNA was extracted with the novel RNXtract RNA extraction kit. Synthetic RNA was used to assess the sensitivity of the RNXtract kit. DNA and RNA specific qPCR assays were used so as to determine analyte specificity of RNXtract. For the assessment of limit of blank, limit of detection, analytical measurement range and PCR efficiency of the MammaTyper kit serial dilutions of samples were used. Analytical precision studies of MammaTyper were built around two different real time PCR platforms and involved breast tumor samples belonging to different subtypes analyzed across multiple sites and under various stipulated conditions. The MammaTyper assay robustness was tested against RNA input variations, alternative extraction methods and tumor cell content. Individual assays were linear up to at least 32.33 and 33.56 Cqs (quantification cycles) for the two qPCR platforms tested. PCR efficiency ranged from 99 to 109 %. In qPCR platform 1, estimates for assay specific inter-site standard deviations (SD) were between 0.14 and 0

  14. The implications of breast cancer molecular phenotype for radiation oncology

    Directory of Open Access Journals (Sweden)

    Shirin eSioshansi

    2011-06-01

    Full Text Available The identification of distinct molecular subtypes of breast cancer has advanced the understanding and treatment of breast cancer by providing insight into prognosis, patterns of recurrence and effectiveness of therapy. The prognostic significance of molecular phenotype with regard to distant recurrences and overall survival are well established in the literature and has been readily incorporated into systemic therapy management decisions. However, despite the accumulating data suggesting similar prognostic significance for locoregional recurrence, integration of molecular phenotype into local management decision making has lagged. Although there are some conflicting reports, collectively the literature supports a low risk of local recurrence in the hormone receptor positive luminal subtypes compared to hormone receptor negative subtypes (triple negative and HER2-enriched. The development of targeted therapies, such as trastuzumab for the treatment of HER2-enriched subtype, has been shown to mitigate the increased risk of local recurrence. Unfortunately, no such remedy exists to address the increased risk of local recurrence for patients with triple negative tumors, making it a clinical challenge for radiation oncologists. In this review we discuss the correlation between molecular subtype and local recurrence following either breast conservation therapy or mastectomy. We also explore the possible mechanisms for increased local recurrence in triple negative breast cancer and radiotherapeutic implications for this population, such as the safety of breast conservation, consideration of dose escalation and the appropriateness of accelerated partial breast irradiation.

  15. The Implications of Breast Cancer Molecular Phenotype for Radiation Oncology

    Energy Technology Data Exchange (ETDEWEB)

    Sioshansi, Shirin [Department of Radiation Oncology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA (United States); Department of Radiation Oncology, Rhode Island Hospital, Warren Alpert School of Medicine at Brown University, Providence, RI (United States); Huber, Kathryn E. [Department of Radiation Oncology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA (United States); Wazer, David E., E-mail: dwazer@tuftsmedicalcenter.org [Department of Radiation Oncology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA (United States); Department of Radiation Oncology, Rhode Island Hospital, Warren Alpert School of Medicine at Brown University, Providence, RI (United States)

    2011-06-28

    The identification of distinct molecular subtypes of breast cancer has advanced the understanding and treatment of breast cancer by providing insight into prognosis, patterns of recurrence, and effectiveness of therapy. The prognostic significance of molecular phenotype with regard to distant recurrences and overall survival are well established in the literature and has been readily incorporated into systemic therapy management decisions. However, despite the accumulating data suggesting similar prognostic significance for locoregional recurrence, integration of molecular phenotype into local management decision making has lagged. Although there are some conflicting reports, collectively the literature supports a low risk of local recurrence (LR) in the hormone receptor (HR) positive luminal subtypes compared to HR negative subtypes [triple negative (TN) and HER2-enriched]. The development of targeted therapies, such as trastuzumab for the treatment of HER2-enriched subtype, has been shown to mitigate the increased risk of LR. Unfortunately, no such remedy exists to address the increased risk of LR for patients with TN tumors, making it a clinical challenge for radiation oncologists. In this review we discuss the correlation between molecular subtype and LR following either breast conservation therapy or mastectomy. We also explore the possible mechanisms for increased LR in TN breast cancer and radiotherapeutic implications for this population, such as the safety of breast conservation, consideration of dose escalation, and the appropriateness of accelerated partial breast irradiation.

  16. The Implications of Breast Cancer Molecular Phenotype for Radiation Oncology

    International Nuclear Information System (INIS)

    Sioshansi, Shirin; Huber, Kathryn E.; Wazer, David E.

    2011-01-01

    The identification of distinct molecular subtypes of breast cancer has advanced the understanding and treatment of breast cancer by providing insight into prognosis, patterns of recurrence, and effectiveness of therapy. The prognostic significance of molecular phenotype with regard to distant recurrences and overall survival are well established in the literature and has been readily incorporated into systemic therapy management decisions. However, despite the accumulating data suggesting similar prognostic significance for locoregional recurrence, integration of molecular phenotype into local management decision making has lagged. Although there are some conflicting reports, collectively the literature supports a low risk of local recurrence (LR) in the hormone receptor (HR) positive luminal subtypes compared to HR negative subtypes [triple negative (TN) and HER2-enriched]. The development of targeted therapies, such as trastuzumab for the treatment of HER2-enriched subtype, has been shown to mitigate the increased risk of LR. Unfortunately, no such remedy exists to address the increased risk of LR for patients with TN tumors, making it a clinical challenge for radiation oncologists. In this review we discuss the correlation between molecular subtype and LR following either breast conservation therapy or mastectomy. We also explore the possible mechanisms for increased LR in TN breast cancer and radiotherapeutic implications for this population, such as the safety of breast conservation, consideration of dose escalation, and the appropriateness of accelerated partial breast irradiation.

  17. Human Breast Cancer Histoid

    Science.gov (United States)

    Kaur, Pavinder; Ward, Brenda; Saha, Baisakhi; Young, Lillian; Groshen, Susan; Techy, Geza; Lu, Yani; Atkinson, Roscoe; Taylor, Clive R.; Ingram, Marylou

    2011-01-01

    Progress in our understanding of heterotypic cellular interaction in the tumor microenvironment, which is recognized to play major roles in cancer progression, has been hampered due to unavailability of an appropriate in vitro co-culture model. The aim of this study was to generate an in vitro 3-dimensional human breast cancer model, which consists of cancer cells and fibroblasts. Breast cancer cells (UACC-893) and fibroblasts at various densities were co-cultured in a rotating suspension culture system to establish co-culture parameters. Subsequently, UACC-893, BT.20, or MDA.MB.453 were co-cultured with fibroblasts for 9 days. Co-cultures resulted in the generation of breast cancer histoid (BCH) with cancer cells showing the invasion of fibroblast spheroids, which were visualized by immunohistochemical (IHC) staining of sections (4 µm thick) of BCH. A reproducible quantitative expression of C-erbB.2 was detected in UACC-893 cancer cells in BCH sections by IHC staining and the Automated Cellular Imaging System. BCH sections also consistently exhibited qualitative expression of pancytokeratins, p53, Ki-67, or E-cadherin in cancer cells and that of vimentin or GSTPi in fibroblasts, fibronectin in the basement membrane and collagen IV in the extracellular matrix. The expression of the protein analytes and cellular architecture of BCH were markedly similar to those of breast cancer tissue. PMID:22034518

  18. The role of lipolysis stimulated lipoprotein receptor in breast cancer and directing breast cancer cell behavior.

    Directory of Open Access Journals (Sweden)

    Denise K Reaves

    Full Text Available The claudin-low molecular subtype of breast cancer is of particular interest for clinically the majority of these tumors are poor prognosis, triple negative, invasive ductal carcinomas. Claudin-low tumors are characterized by cancer stem cell-like features and low expression of cell junction and adhesion proteins. Herein, we sought to define the role of lipolysis stimulated lipoprotein receptor (LSR in breast cancer and cancer cell behavior as LSR was recently correlated with tumor-initiating features. We show that LSR was expressed in epithelium, endothelium, and stromal cells within the healthy breast tissue, as well as in tumor epithelium. In primary breast tumor bioposies, LSR expression was significantly correlated with invasive ductal carcinomas compared to invasive lobular carcinomas, as well as ERα positive tumors and breast cancer cell lines. LSR levels were significantly reduced in claudin-low breast cancer cell lines and functional studies illustrated that re-introduction of LSR into a claudin-low cell line suppressed the EMT phenotype and reduced individual cell migration. However, our data suggest that LSR may promote collective cell migration. Re-introduction of LSR in claudin-low breast cancer cell lines reestablished tight junction protein expression and correlated with transepithelial electrical resistance, thereby reverting claudin-low lines to other intrinsic molecular subtypes. Moreover, overexpression of LSR altered gene expression of pathways involved in transformation and tumorigenesis as well as enhanced proliferation and survival in anchorage independent conditions, highlighting that reestablishment of LSR signaling promotes aggressive/tumor initiating cell behaviors. Collectively, these data highlight a direct role for LSR in driving aggressive breast cancer behavior.

  19. Viruses and Breast Cancer

    Science.gov (United States)

    Lawson, James S.; Heng, Benjamin

    2010-01-01

    Viruses are the accepted cause of many important cancers including cancers of the cervix and anogenital area, the liver, some lymphomas, head and neck cancers and indirectly human immunodeficiency virus associated cancers. For over 50 years, there have been serious attempts to identify viruses which may have a role in breast cancer. Despite these efforts, the establishment of conclusive evidence for such a role has been elusive. However, the development of extremely sophisticated new experimental techniques has allowed the recent development of evidence that human papilloma virus, Epstein-Barr virus, mouse mammary tumor virus and bovine leukemia virus may each have a role in the causation of human breast cancers. This is potentially good news as effective vaccines are already available to prevent infections from carcinogenic strains of human papilloma virus, which causes cancer of the uterine cervix. PMID:24281093

  20. Viruses and Breast Cancer

    International Nuclear Information System (INIS)

    Lawson, James S.; Heng, Benjamin

    2010-01-01

    Viruses are the accepted cause of many important cancers including cancers of the cervix and anogenital area, the liver, some lymphomas, head and neck cancers and indirectly human immunodeficiency virus associated cancers. For over 50 years, there have been serious attempts to identify viruses which may have a role in breast cancer. Despite these efforts, the establishment of conclusive evidence for such a role has been elusive. However, the development of extremely sophisticated new experimental techniques has allowed the recent development of evidence that human papilloma virus, Epstein-Barr virus, mouse mammary tumor virus and bovine leukemia virus may each have a role in the causation of human breast cancers. This is potentially good news as effective vaccines are already available to prevent infections from carcinogenic strains of human papilloma virus, which causes cancer of the uterine cervix

  1. Viruses and Breast Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Lawson, James S., E-mail: james.lawson@unsw.edu.au; Heng, Benjamin [School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney (Australia)

    2010-04-30

    Viruses are the accepted cause of many important cancers including cancers of the cervix and anogenital area, the liver, some lymphomas, head and neck cancers and indirectly human immunodeficiency virus associated cancers. For over 50 years, there have been serious attempts to identify viruses which may have a role in breast cancer. Despite these efforts, the establishment of conclusive evidence for such a role has been elusive. However, the development of extremely sophisticated new experimental techniques has allowed the recent development of evidence that human papilloma virus, Epstein-Barr virus, mouse mammary tumor virus and bovine leukemia virus may each have a role in the causation of human breast cancers. This is potentially good news as effective vaccines are already available to prevent infections from carcinogenic strains of human papilloma virus, which causes cancer of the uterine cervix.

  2. Remodeling of the methylation landscape in breast cancer metastasis.

    Directory of Open Access Journals (Sweden)

    Marsha Reyngold

    Full Text Available The development of breast cancer metastasis is accompanied by dynamic transcriptome changes and dramatic alterations in nuclear and chromatin structure. The basis of these changes is incompletely understood. The DNA methylome of primary breast cancers contribute to transcriptomic heterogeneity and different metastatic behavior. Therefore we sought to characterize methylome remodeling during regional metastasis. We profiled the DNA methylome and transcriptome of 44 matched primary breast tumors and regional metastases. Striking subtype-specific patterns of metastasis-associated methylome remodeling were observed, which reflected the molecular heterogeneity of breast cancers. These divergent changes occurred primarily in CpG island (CGI-poor areas. Regions of methylome reorganization shared by the subtypes were also observed, and we were able to identify a metastasis-specific methylation signature that was present across the breast cancer subclasses. These alterations also occurred outside of CGIs and promoters, including sequences flanking CGIs and intergenic sequences. Integrated analysis of methylation and gene expression identified genes whose expression correlated with metastasis-specific methylation. Together, these findings significantly enhance our understanding of the epigenetic reorganization that occurs during regional breast cancer metastasis across the major breast cancer subtypes and reveal the nature of methylome remodeling during this process.

  3. Expression of the breast cancer resistance protein in breast cancer

    NARCIS (Netherlands)

    Faneyte, Ian F.; Kristel, Petra M. P.; Maliepaard, Marc; Scheffer, George L.; Scheper, Rik J.; Schellens, Jan H. M.; van de Vijver, Marc J.

    2002-01-01

    PURPOSE: The breast cancer resistance protein (BCRP) is involved in in vitro multidrug resistance and was first identified in the breast cancer cell line MCF7/AdrVp. The aim of this study was to investigate the role of BCRP in resistance of breast cancer to anthracycline treatment. EXPERIMENTAL

  4. Preventing Breast Cancer: Making Progress

    Science.gov (United States)

    ... Navigation Bar Home Current Issue Past Issues Preventing Breast Cancer: Making Progress Past Issues / Fall 2006 Table of ... 000 women will have been diagnosed with invasive breast cancer, and nearly 41,000 women will die from ...

  5. Vitamin D and Breast Cancer

    National Research Council Canada - National Science Library

    Janowsky, Esther

    1997-01-01

    The purpose of our current work is to determine whether there are differences in blood levels of 1,25-dihydroxy- vitamin D between women with breast cancer and two control groups of women without breast cancer...

  6. Vitamin D and Breast Cancer

    OpenAIRE

    Shao, Theresa; Klein, Paula; Grossbard, Michael L.

    2012-01-01

    Vitamin D metabolism and its mechanism of action, the current evidence on the relationship between vitamin D and breast cancer, and the optimal dosing of vitamin D for breast cancer prevention are summarized.

  7. Risks of Breast Cancer Screening

    Science.gov (United States)

    ... is small. Different factors increase or decrease the risk of breast cancer. Anything that increases your chance ... magnetic resonance imaging) in women with a high risk of breast cancer MRI is a procedure that ...

  8. BREAST RECONSTRUCTIONS AFTER BREAST CANCER TREATING

    Directory of Open Access Journals (Sweden)

    Erik Vrabič

    2018-02-01

    Full Text Available Background. Breasts are an important symbol of physical beauty, feminity, mothering and sexual desire through the entire history of mankind. Lost of the whole or part of the breast is functional and aesthetic disturbance for woman. It is understandable, that the woman, who is concerned over breast loss, is as appropriate as another person´s concern over the loss of a limb or other body part. Before the 1960, breast reconstruction was considered as a dangerous procedure and it was almost prohibited. Considering the psychological importance of the breast in modern society, the possibility of breast reconstruction for the woman about to undergo a mastectomy is a comforting alternative. We can perform breast reconstruction with autologous tissue (autologous reconstruction, with breast implants and combination of both methods. For autologous reconstruction we can use local tissue (local flaps, or tissue from distant parts of the body (free vascular tissue transfer. Tissue expansion must be performed first, in many cases of breast reconstructions with breast implants. Conclusions. Possibility of breast reconstruction made a big progress last 3 decades. Today we are able to reconstruct almost every defect of the breast and the entire breast. Breast reconstruction rise the quality of life for breast cancer patients. Breast reconstruction is a team work of experts from many medicine specialites. In Slovenia we can offer breast reconstruction for breast cancer patients in Ljubljana, where plastic surgeons from Clinical Department for Plastic Surgery and Burns cooperate with oncologic surgeons. Ten years ago a similar cooperation between plastic surgeons and surgeons of the Centre for Breast Diseases was established in Maribor.

  9. Magnetic resonance imaging texture analysis classification of primary breast cancer

    International Nuclear Information System (INIS)

    Waugh, S.A.; Lerski, R.A.; Purdie, C.A.; Jordan, L.B.; Vinnicombe, S.; Martin, P.; Thompson, A.M.

    2016-01-01

    Patient-tailored treatments for breast cancer are based on histological and immunohistochemical (IHC) subtypes. Magnetic Resonance Imaging (MRI) texture analysis (TA) may be useful in non-invasive lesion subtype classification. Women with newly diagnosed primary breast cancer underwent pre-treatment dynamic contrast-enhanced breast MRI. TA was performed using co-occurrence matrix (COM) features, by creating a model on retrospective training data, then prospectively applying to a test set. Analyses were blinded to breast pathology. Subtype classifications were performed using a cross-validated k-nearest-neighbour (k = 3) technique, with accuracy relative to pathology assessed and receiver operator curve (AUROC) calculated. Mann-Whitney U and Kruskal-Wallis tests were used to assess raw entropy feature values. Histological subtype classifications were similar across training (n = 148 cancers) and test sets (n = 73 lesions) using all COM features (training: 75 %, AUROC = 0.816; test: 72.5 %, AUROC = 0.823). Entropy features were significantly different between lobular and ductal cancers (p < 0.001; Mann-Whitney U). IHC classifications using COM features were also similar for training and test data (training: 57.2 %, AUROC = 0.754; test: 57.0 %, AUROC = 0.750). Hormone receptor positive and negative cancers demonstrated significantly different entropy features. Entropy features alone were unable to create a robust classification model. Textural differences on contrast-enhanced MR images may reflect underlying lesion subtypes, which merits testing against treatment response. (orig.)

  10. Magnetic resonance imaging texture analysis classification of primary breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Waugh, S.A.; Lerski, R.A. [Ninewells Hospital and Medical School, Department of Medical Physics, Dundee (United Kingdom); Purdie, C.A.; Jordan, L.B. [Ninewells Hospital and Medical School, Department of Pathology, Dundee (United Kingdom); Vinnicombe, S. [University of Dundee, Division of Imaging and Technology, Ninewells Hospital and Medical School, Dundee (United Kingdom); Martin, P. [Ninewells Hospital and Medical School, Department of Clinical Radiology, Dundee (United Kingdom); Thompson, A.M. [University of Texas MD Anderson Cancer Center, Department of Surgical Oncology, Houston, TX (United States)

    2016-02-15

    Patient-tailored treatments for breast cancer are based on histological and immunohistochemical (IHC) subtypes. Magnetic Resonance Imaging (MRI) texture analysis (TA) may be useful in non-invasive lesion subtype classification. Women with newly diagnosed primary breast cancer underwent pre-treatment dynamic contrast-enhanced breast MRI. TA was performed using co-occurrence matrix (COM) features, by creating a model on retrospective training data, then prospectively applying to a test set. Analyses were blinded to breast pathology. Subtype classifications were performed using a cross-validated k-nearest-neighbour (k = 3) technique, with accuracy relative to pathology assessed and receiver operator curve (AUROC) calculated. Mann-Whitney U and Kruskal-Wallis tests were used to assess raw entropy feature values. Histological subtype classifications were similar across training (n = 148 cancers) and test sets (n = 73 lesions) using all COM features (training: 75 %, AUROC = 0.816; test: 72.5 %, AUROC = 0.823). Entropy features were significantly different between lobular and ductal cancers (p < 0.001; Mann-Whitney U). IHC classifications using COM features were also similar for training and test data (training: 57.2 %, AUROC = 0.754; test: 57.0 %, AUROC = 0.750). Hormone receptor positive and negative cancers demonstrated significantly different entropy features. Entropy features alone were unable to create a robust classification model. Textural differences on contrast-enhanced MR images may reflect underlying lesion subtypes, which merits testing against treatment response. (orig.)

  11. Immunophenotyping of hereditary breast cancer

    NARCIS (Netherlands)

    van der Groep, P.

    2009-01-01

    Hereditary breast cancer runs in families where several family members in different generations are affected. Most of these breast cancers are caused by mutations in the high penetrance genes BRCA1 and BRCA2 which account for about 5% of all breast cancers. However, mutations in BRCA1 and BRCA2 may

  12. Breast Cancer Basics and You

    Science.gov (United States)

    ... page please turn JavaScript on. Feature: Screening For Breast Cancer Breast Cancer Basics and You Past Issues / Summer 2014 Table ... more than 232,670 new cases of female breast cancer in the United States in 2014. More than ...

  13. Loss of Dickkopf 3 Promotes the Tumorigenesis of Basal Breast Cancer.

    Directory of Open Access Journals (Sweden)

    Eva Lorsy

    Full Text Available Dickkopf 3 (DKK3 has been associated with tumor suppression of various tumor entities including breast cancer. However, the functional impact of DKK3 on the tumorigenesis of distinct molecular breast cancer subtypes has not been considered so far. Therefore, we initiated a study analyzing the subtype-specific DKK3 expression pattern as well as its prognostic and functional impact with respect to breast cancer subtypes. Based on three independent tissue cohorts including one in silico dataset (n = 30, n = 463 and n = 791 we observed a clear down-regulation of DKK3 expression in breast cancer samples compared to healthy breast tissue controls on mRNA and protein level. Interestingly, most abundant reduction of DKK3 expression was detected in the highly aggressive basal breast cancer subtype. Analyzing a large in silico dataset comprising 3,554 cases showed that low DKK3 mRNA expression was significantly associated with reduced recurrence free survival (RFS of luminal and basal-like breast cancer cases. Functionally, DKK3 re-expression in human breast cancer cell lines led to suppression of cell growth possibly mediated by up-regulation of apoptosis in basal-like but not in luminal-like breast cancer cell lines. Moreover, ectopic DKK3 expression in mesenchymal basal breast cancer cells resulted in partial restoration of epithelial cell morphology which was molecularly supported by higher expression of epithelial markers like E-Cadherin and down-regulation of mesenchymal markers such as Snail 1. Hence, we provide evidence that down-regulation of DKK3 especially promotes tumorigenesis of the aggressive basal breast cancer subtype. Further studies decoding the underlying molecular mechanisms of DKK3-mediated effects may help to identify novel targeted therapies for this clinically highly relevant breast cancer subtype.

  14. Androgen Receptor: A Complex Therapeutic Target for Breast Cancer

    Science.gov (United States)

    Narayanan, Ramesh; Dalton, James T.

    2016-01-01

    Molecular and histopathological profiling have classified breast cancer into multiple sub-types empowering precision treatment. Although estrogen receptor (ER) and human epidermal growth factor receptor (HER2) are the mainstay therapeutic targets in breast cancer, the androgen receptor (AR) is evolving as a molecular target for cancers that have developed resistance to conventional treatments. The high expression of AR in breast cancer and recent discovery and development of new nonsteroidal drugs targeting the AR provide a strong rationale for exploring it again as a therapeutic target in this disease. Ironically, both nonsteroidal agonists and antagonists for the AR are undergoing clinical trials, making AR a complicated target to understand in breast cancer. This review provides a detailed account of AR’s therapeutic role in breast cancer. PMID:27918430

  15. Androgen Receptor: A Complex Therapeutic Target for Breast Cancer

    Directory of Open Access Journals (Sweden)

    Ramesh Narayanan

    2016-12-01

    Full Text Available Molecular and histopathological profiling have classified breast cancer into multiple sub-types empowering precision treatment. Although estrogen receptor (ER and human epidermal growth factor receptor (HER2 are the mainstay therapeutic targets in breast cancer, the androgen receptor (AR is evolving as a molecular target for cancers that have developed resistance to conventional treatments. The high expression of AR in breast cancer and recent discovery and development of new nonsteroidal drugs targeting the AR provide a strong rationale for exploring it again as a therapeutic target in this disease. Ironically, both nonsteroidal agonists and antagonists for the AR are undergoing clinical trials, making AR a complicated target to understand in breast cancer. This review provides a detailed account of AR’s therapeutic role in breast cancer.

  16. Targeting Prolyl Peptidases in Triple-Negative Breast Cancer

    Science.gov (United States)

    2017-02-01

    ABSTRACT Triple negative breast cancer (TNBC) is an aggressive sub-type with limited treatment options and poor prognosis. The most life -threatening... negative feedback loops within the pathway limit their effectiveness . For example, AKT inhibitors cause increased expression of IGF1R/ErbB3 and, as a...AWARD NUMBER: W81XWH-16-1-0025 TITLE: Targeting Prolyl Peptidases in Triple- Negative Breast Cancer PRINCIPAL INVESTIGATOR: Carl G. Maki, PhD

  17. Breast cancer in systemic lupus

    DEFF Research Database (Denmark)

    Bernatsky, S.; Ramsey-Goldman, R.; Petri, M.

    2017-01-01

    Objective There is a decreased breast cancer risk in systemic lupus erythematosus (SLE) versus the general population. We assessed a large sample of SLE patients, evaluating demographic and clinical characteristics and breast cancer risk. Methods We performed case-cohort analyses within a multi......-center international SLE sample. We calculated the breast cancer hazard ratio (HR) in female SLE patients, relative to demographics, reproductive history, family history of breast cancer, and time-dependent measures of anti-dsDNA positivity, cumulative disease activity, and drugs, adjusted for SLE duration. Results...... There were 86 SLE breast cancers and 4498 female SLE cancer-free controls. Patients were followed on average for 7.6 years. Versus controls, SLE breast cancer cases tended to be white and older. Breast cancer cases were similar to controls regarding anti-dsDNA positivity, disease activity, and most drug...

  18. Inheritance of proliferative breast disease in breast cancer kindreds

    International Nuclear Information System (INIS)

    Skolnick, M.H.; Cannon-Albright, L.A.; Goldgar, D.E.; Ward, J.H.; Marshall, C.J.; Schumann, G.B.; Hogle, H.; McWhorter, W.P.; Wright, E.C.; Tran, T.D.; Bishop, D.T.; Kushner, J.P.; Eyre, H.J.

    1990-01-01

    Previous studies have emphasized that genetic susceptibility to breast cancer is rare and is expressed primarily as premenopausal breast cancer, bilateral breast cancer, or both. Proliferative breast disease (PBD) is a significant risk factor for the development of breast cancer and appears to be a precursor lesion. PBD and breast cancer were studied in 103 women from 20 kindreds that were selected for the presence of two first degree relatives with breast cancer and in 31 control women. Physical examination, screening mammography, and four-quadrant fine-needle breast aspirates were performed. Cytologic analysis of breast aspirates revealed PBD in 35% of clinically normal female first degree relatives of breast cancer cases and in 13% of controls. Genetic analysis suggests that genetic susceptibility causes both PBD and breast cancer in these kindreds. This study supports the hypothesis that this susceptibility is responsible for a considerable portion of breast cancer, including unilateral and postmenopausal breast cancer

  19. Diet and breast cancer: understanding risks and benefits.

    Science.gov (United States)

    Thomson, Cynthia A

    2012-10-01

    Breast cancer is the most commonly diagnosed cancer among women in the United States. Extensive research has been completed to evaluate the relationship between dietary factors and breast cancer risk and survival after breast cancer; however, a summary report with clinical inference is needed. Materials and This review summarizes the current epidemiological and clinical trial evidence relating diet to breast cancer incidence, recurrence, survival, and mortality. The review includes emerging epidemiological studies that assess risk within breast cancer subtypes as well as a summary of previous and ongoing dietary intervention trials designed to modify breast cancer risk. The available literature suggests that both low-fat and high-fiber diets may be weakly protective against breast cancer, whereas total energy intake and alcohol appear to be positively associated. Fiber may be weakly protective possibly through modulation of estrogen, whereas fruit and vegetable intake is not clearly associated with risk. Obesity is a risk factor for postmenopausal disease, and adult weight gain should be avoided to reduce risk. In survivors, diet has the greatest potential influence on overall mortality rather than breast cancer-specific events. Diet is modestly associated with breast cancer risk; associations appear more pronounced for postmenopausal disease, and healthy choices after diagnosis and treatment likely support longevity more so than reduced risk for recurrent disease.

  20. Radiological Patterns of Brain Metastases in Breast Cancer Patients : A Subproject of the German Brain Metastases in Breast Cancer (BMBC) Registry

    NARCIS (Netherlands)

    Laakmann, Elena; Witzel, Isabell; Scriba, Verena; Grzyska, Ulrich; zu Eulenburg, Christine; Burchardi, Nicole; Hesse, Tobias; Wuerschmidt, Florian; Fehm, Tanja; Moebus, Volker; von Minckwitz, Gunter; Loibl, Sibylle; Park-Simon, Tjoung-Won; Mueller, Volkmar

    2016-01-01

    Evidence about distribution patterns of brain metastases with regard to breast cancer subtypes and its influence on the prognosis of patients is insufficient. Clinical data, cranial computed tomography (CT) and magnetic resonance imaging (MRI) scans of 300 breast cancer patients with brain

  1. Accelerated Radiation Therapy After Surgery in Treating Patients With Breast Cancer

    Science.gov (United States)

    2017-11-15

    Inflammatory Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Mucinous Ductal Breast Carcinoma; Papillary Ductal Breast Carcinoma; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Tubular Ductal Breast Carcinoma

  2. Apparent exchange rate for breast cancer characterization.

    Science.gov (United States)

    Lasič, Samo; Oredsson, Stina; Partridge, Savannah C; Saal, Lao H; Topgaard, Daniel; Nilsson, Markus; Bryskhe, Karin

    2016-05-01

    Although diffusion MRI has shown promise for the characterization of breast cancer, it has low specificity to malignant subtypes. Higher specificity might be achieved if the effects of cell morphology and molecular exchange across cell membranes could be disentangled. The quantification of exchange might thus allow the differentiation of different types of breast cancer cells. Based on differences in diffusion rates between the intra- and extracellular compartments, filter exchange spectroscopy/imaging (FEXSY/FEXI) provides non-invasive quantification of the apparent exchange rate (AXR) of water between the two compartments. To test the feasibility of FEXSY for the differentiation of different breast cancer cells, we performed experiments on several breast epithelial cell lines in vitro. Furthermore, we performed the first in vivo FEXI measurement of water exchange in human breast. In cell suspensions, pulsed gradient spin-echo experiments with large b values and variable pulse duration allow the characterization of the intracellular compartment, whereas FEXSY provides a quantification of AXR. These experiments are very sensitive to the physiological state of cells and can be used to establish reliable protocols for the culture and harvesting of cells. Our results suggest that different breast cancer subtypes can be distinguished on the basis of their AXR values in cell suspensions. Time-resolved measurements allow the monitoring of the physiological state of cells in suspensions over the time-scale of hours, and reveal an abrupt disintegration of the intracellular compartment. In vivo, exchange can be detected in a tumor, whereas, in normal tissue, the exchange rate is outside the range experimentally accessible for FEXI. At present, low signal-to-noise ratio and limited scan time allows the quantification of AXR only in a region of interest of relatively large tumors. © 2016 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.

  3. Neratinib (HKI-272) in the treatment of breast cancer.

    Science.gov (United States)

    López-Tarruella, Sara; Jerez, Yolanda; Márquez-Rodas, Iván; Martín, Miguel

    2012-06-01

    Neratinib is an orally available, small, irreversible, pan-HER kinase inhibitor. HER-2-positive breast cancer is a breast cancer subtype with an increasing body of knowledge regarding potential targeted drug combinations that are significantly improving outcomes through a biologically tailored therapy approach; neratinib emerges as a promising tool in this context. This article reviews the molecular and clinical development of neratinib, an example of a covalent drug, from preclinical models to Phase III clinical trials, focusing on breast cancer treatment. The potential combinations of neratinib with chemotherapy in the metastatic, adjuvant and even neoadjuvant settings are appraised. These results and future perspectives will be discussed.

  4. Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes

    OpenAIRE

    Taube, Joseph H.; Herschkowitz, Jason I.; Komurov, Kakajan; Zhou, Alicia Y.; Gupta, Supriya; Yang, Jing; Hartwell, Kimberly; Onder, Tamer T.; Gupta, Piyush B.; Evans, Kurt W.; Hollier, Brett G.; Ram, Prahlad T.; Lander, Eric S.; Rosen, Jeffrey M.; Weinberg, Robert A.

    2010-01-01

    The epithelial-to-mesenchymal transition (EMT) produces cancer cells that are invasive, migratory, and exhibit stem cell characteristics, hallmarks of cells that have the potential to generate metastases. Inducers of the EMT include several transcription factors (TFs), such as Goosecoid, Snail, and Twist, as well as the secreted TGF-β1. Each of these factors is capable, on its own, of inducing an EMT in the human mammary epithelial (HMLE) cell line. However, the interactions between these reg...

  5. PKCα expression is a marker for breast cancer aggressiveness

    Directory of Open Access Journals (Sweden)

    Jirström Karin

    2010-04-01

    Full Text Available Abstract Background Protein kinase C (PKC isoforms are potential targets for breast cancer therapy. This study was designed to evaluate which PKC isoforms might be optimal targets for different breast cancer subtypes. Results In two cohorts of primary breast cancers, PKCα levels correlated to estrogen and progesterone receptor negativity, tumor grade, and proliferative activity, whereas PKCδ and PKCε did not correlate to clinicopathological parameters. Patients with PKCα-positive tumors showed poorer survival than patients with PKCα-negative tumors independently of other factors. Cell line studies demonstrated that PKCα levels are high in MDA-MB-231 and absent in T47D cells which proliferated slower than other cell lines. Furthermore, PKCα silencing reduced proliferation of MDA-MB-231 cells. PKCα inhibition or downregulation also reduced cell migration in vitro. Conclusions PKCα is a marker for poor prognosis of breast cancer and correlates to and is important for cell functions associated with breast cancer progression.

  6. Subtypes of Ovarian Cancer and Ovarian Cancer Screening

    Directory of Open Access Journals (Sweden)

    Masafumi Koshiyama

    2017-03-01

    Full Text Available Ovarian cancer is the foremost cause of gynecological cancer death in the developed world, as it is usually diagnosed at an advanced stage. In this paper we discuss current issues, the efficacy and problems associated with ovarian cancer screening, and compare the characteristics of ovarian cancer subtypes. There are two types of ovarian cancer: Type I carcinomas, which are slow-growing, indolent neoplasms thought to arise from a precursor lesion, which are relatively common in Asia; and Type II carcinomas, which are clinically aggressive neoplasms that can develop de novo from serous tubal intraepithelial carcinomas (STIC and/or ovarian surface epithelium and are common in Europe and the USA. One of the most famous studies on the subject reported that annual screening using CA125/transvaginal sonography (TVS did not reduce the ovarian cancer mortality rate in the USA. In contrast, a recent study in the UK showed an overall average mortality reduction of 20% in the screening group. Another two studies further reported that the screening was associated with decreased stage at detection. Theoretically, annual screening using CA125/TVS could easily detect precursor lesions and could be more effective in Asia than in Europe and the USA. The detection of Type II ovarian carcinoma at an early stage remains an unresolved issue. The resolving power of CA125 or TVS screening alone is unlikely to be successful at resolving STICs. Biomarkers for the early detection of Type II carcinomas such as STICs need to be developed.

  7. Subtypes of Ovarian Cancer and Ovarian Cancer Screening.

    Science.gov (United States)

    Koshiyama, Masafumi; Matsumura, Noriomi; Konishi, Ikuo

    2017-03-02

    Ovarian cancer is the foremost cause of gynecological cancer death in the developed world, as it is usually diagnosed at an advanced stage. In this paper we discuss current issues, the efficacy and problems associated with ovarian cancer screening, and compare the characteristics of ovarian cancer subtypes. There are two types of ovarian cancer: Type I carcinomas, which are slow-growing, indolent neoplasms thought to arise from a precursor lesion, which are relatively common in Asia; and Type II carcinomas, which are clinically aggressive neoplasms that can develop de novo from serous tubal intraepithelial carcinomas (STIC) and/or ovarian surface epithelium and are common in Europe and the USA. One of the most famous studies on the subject reported that annual screening using CA125/transvaginal sonography (TVS) did not reduce the ovarian cancer mortality rate in the USA. In contrast, a recent study in the UK showed an overall average mortality reduction of 20% in the screening group. Another two studies further reported that the screening was associated with decreased stage at detection. Theoretically, annual screening using CA125/TVS could easily detect precursor lesions and could be more effective in Asia than in Europe and the USA. The detection of Type II ovarian carcinoma at an early stage remains an unresolved issue. The resolving power of CA125 or TVS screening alone is unlikely to be successful at resolving STICs. Biomarkers for the early detection of Type II carcinomas such as STICs need to be developed.

  8. Breast cancer screening with digital breast tomosynthesis.

    Science.gov (United States)

    Skaane, Per

    2017-01-01

    To give an overview of studies comparing full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) in breast cancer screening. The implementation of tomosynthesis in breast imaging is rapidly increasing world-wide. Experimental clinical studies of relevance for DBT screening have shown that tomosynthesis might have a great potential in breast cancer screening, although most of these retrospective reading studies are based on small populations, so that final conclusions are difficult to draw from individual reports. Several retrospective studies and three prospective trials on tomosynthesis in breast cancer screening have been published so far, confirming the great potential of DBT in mammography screening. The main results of these screening studies are presented. The retrospective screening studies from USA have all shown a significant decrease in the recall rate using DBT as adjunct to mammography. Most of these studies have also shown an increase in the cancer detection rate, and the non-significant results in some studies might be explained by a lack of statistical power. All the three prospective European trials have shown a significant increase in the cancer detection rate. The retrospective and the prospective screening studies comparing FFDM and DBT have all demonstrated that tomosynthesis has a great potential for improving breast cancer screening. DBT should be regarded as a better mammogram that could improve or overcome limitations of the conventional mammography, and tomosynthesis might be considered as the new technique in the next future of breast cancer screening.

  9. breast cancer screening in

    African Journals Online (AJOL)

    impact of the increasing incidence and mortality due to breast cancer. ... ported to be increasing in sub-Saharan Africa. ... A lump with more than three quarters of its margin being .... accounted for 36.8% of the false negative cases rate. The.

  10. Breast Cancer - Early Diagnosis

    Centers for Disease Control (CDC) Podcasts

    2011-04-28

    This podcast answers a listener's question about how to tell if she has breast cancer.  Created: 4/28/2011 by National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP).   Date Released: 4/28/2011.

  11. Mouse models of estrogen receptor-positive breast cancer

    Directory of Open Access Journals (Sweden)

    Shakur Mohibi

    2011-01-01

    Full Text Available Breast cancer is the most frequent malignancy and second leading cause of cancer-related deaths among women. Despite advances in genetic and biochemical analyses, the incidence of breast cancer and its associated mortality remain very high. About 60 - 70% of breast cancers are Estrogen Receptor alpha (ER-α positive and are dependent on estrogen for growth. Selective estrogen receptor modulators (SERMs have therefore provided an effective targeted therapy to treat ER-α positive breast cancer patients. Unfortunately, development of resistance to endocrine therapy is frequent and leads to cancer recurrence. Our understanding of molecular mechanisms involved in the development of ER-α positive tumors and their resistance to ER antagonists is currently limited due to lack of experimental models of ER-α positive breast cancer. In most mouse models of breast cancer, the tumors that form are typically ER-negative and independent of estrogen for their growth. However, in recent years more attention has been given to develop mouse models that develop different subtypes of breast cancers, including ER-positive tumors. In this review, we discuss the currently available mouse models that develop ER-α positive mammary tumors and their potential use to elucidate the molecular mechanisms of ER-α positive breast cancer development and endocrine resistance.

  12. 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...... breast epithelia, and the differential expression of a panel of candidate genes was further validated by quantitative PCR and immunohistochemical analysis of cell lines and tumor biopsies. A limited number of genes, including several members of the GAGE and insulin growth factor binding protein (IGFBP...

  13. Early diagnosis of breast cancer

    International Nuclear Information System (INIS)

    Semiglazov, V.F.

    1989-01-01

    Modern data are presentd on epidemology etiopathogensis and statistics of breast cancer. Home and international clinical and histological classifications is given. Much attention is paid to the methods for early diagnosis of pretumor diseases and breast cancer: clinical roentgenomammography, thrmography and computerized tomomammography. The role of self-examination in cancer early detection has been analyzed. Special attention is paid to system of detection of minimal and unpalpable form of breast cancer, screening of these tumors. 113 refs.; 60 figs.; 6 tabs

  14. Tumor metabolism and perfusion ratio assessed by 18F-FDG PET/CT and DCE-MRI in breast cancer patients: Correlation with tumor subtype and histologic prognostic factors

    Energy Technology Data Exchange (ETDEWEB)

    An, Young-Sil [Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine (Korea, Republic of); Kang, Doo Kyoung [Department of Radiology, Ajou University School of Medicine (Korea, Republic of); Jung, Yong Sik; Han, Sehwan [Department of Surgery, Ajou University School of Medicine (Korea, Republic of); Kim, Tae Hee, E-mail: medhand@ajou.ac.kr [Department of Radiology, Ajou University School of Medicine (Korea, Republic of)

    2015-07-15

    Highlights: • In non-triple negative breast cancer, metabolic parameter (SUVmax) was significantly correlated with perfusion parameters (Kep and Ve). • In triple negative cancers, any perfusion parameters did not correlated with metabolic parameters. • Higher SUVmax, higher SUVmax/Ktrans, higher MTV50/Ktrans, higher TLG50/Ktrans, higher TLG50/Ve ratios were significantly correlated with TNBC. • In triple negative breast cancer, perfusion and metabolic parameters are not significantly correlated. • Triple negative breast cancer showed higher metabolic–perfusion ratios compared to non-triple negative breast cancer. - Abstract: Objective: Our purpose was to evaluate whether breast cancer with high metabolic–perfusion ratio would be associated with poor histopathologic prognostic factors and whether triple negative breast cancer (TNBC) would show high metabolic–perfusion ratio compared to non-triple negative breast cancer (non-TNBC). Methods: From March 2011 to November 2011, 67 females with invasive ductal carcinoma of breast who underwent both MRI and 18F-FDG PET/CT were included. Perfusion parameters including Ktrans, Kep and Ve were acquired from Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Metabolic parameters including the standardized uptake value (SUV) and volumetric metabolic parameters including metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were obtained from F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT). Results: In non-TNBC, SUVmax was significantly correlated with Kep (ρ = 0.298, p = 0.036) and Ve (ρ = −0.286, p = 0.044). In TNBC, there was no significant correlation between all perfusion and metabolic parameters. Compared to non-TNBC, higher SUVmax (10.2 vs 5.3, p < 0.001), higher SUVmax/Ktrans (56.02 vs 20.3, p < 0.001), higher MTV50/Ktrans (7.8 vs 16.54, p < 0.001), higher TLG50/Ktrans (36.49 vs 12.3, p < 0.001), higher TLG50/Ve (91.34 vs 27.1 p = 0.022) were

  15. Opioids and breast cancer recurrence

    DEFF Research Database (Denmark)

    Cronin-Fenton, Deirdre P; Heide-Jørgensen, Uffe; Ahern, Thomas P

    2015-01-01

    BACKGROUND: Opioids may alter immune function, thereby potentially affecting cancer recurrence. The authors investigated the association between postdiagnosis opioid use and breast cancer recurrence. METHODS: Patients with incident, early stage breast cancer who were diagnosed during 1996 through...... 2008 in Denmark were identified from the Danish Breast Cancer Cooperative Group Registry. Opioid prescriptions were ascertained from the Danish National Prescription Registry. Follow-up began on the date of primary surgery for breast cancer and continued until breast cancer recurrence, death......, emigration, 10 years, or July 31, 2013, whichever occurred first. Cox regression models were used to compute hazard ratios and 95% confidence intervals associating breast cancer recurrence with opioid prescription use overall and by opioid type and strength, immunosuppressive effect, chronic use (≥6 months...

  16. Induction of Human Somatostatin Receptor Subtype 2 on Breast Tumors with an Adenoviral Vector for Their Treatment and Detection with a Radiolabeled Peptide

    National Research Council Canada - National Science Library

    Rogers, Buck

    2002-01-01

    .... An adenoviral vector encoding the human somatostatin receptor subtype 2 (AdSSTr2) has been produced. The MDA- MB-468 and BT-474 human breast cancer cells were infected with AdSSTr2 and harvested 48 h later for membrane preparations...

  17. Mastopathy and breast cancer

    International Nuclear Information System (INIS)

    Herman, K.

    2007-01-01

    Mastopathy (mastopathia fibroso-cystica) and breast cancer are two major epidemiologic, economic and medical problems of women. In Poland, annually, 0.2 - 1.6 billion Polish zlotys is spent on diagnosis and treatment of mastopathy; half of that sum is spent improperly. Many papers suggest relationships between these two diseases, however, it is not certain, whether, or how much, mastopathy increases breast cancer incidence. The available papers from the recent years indicate increased risk, but the methodology of these data is not perfect. It is not excluded that fibrocystic diseases of the breast increase breast cancer incidence. If such an influence exists, independent of other well-know factors, it is probably very small. Moreover, due to the diversity of medical information there is a lack of diagnostic and therapeutic standards in mastopathy. Different types of scans, hormonal, biochemical and immunohistochemical examinations are performed improperly, and there has been no genetic analysis of mastopathy. Therefore, there is a strong need of well planned, prospective trials in this field. (author)

  18. Cutaneous manifestations of breast cancer

    OpenAIRE

    Agnieszka B. Owczarczyk-Saczonek; Dawid Sigorski; Paweł Różanowski; Agnieszka Markiewicz; Waldemar J. Placek

    2017-01-01

    Breast cancer is the most common malignant neoplasm among women in Poland and in the European Union. According to most recent data of the Polish National Cancer Registry, in 2014 breast cancer was diagnosed in over 17,000 women. Based on the National Health Fund records, it is estimated that there are about 55,000–60,000 women in Poland who have a history of breast cancer diagnosis and are potentially at a risk of relapse. The most common sign of breast cancer is the presence of a nodule, how...

  19. Modulation of estrogen and epidermal growth factor receptors by rosemary extract in breast cancer cells.

    Science.gov (United States)

    González-Vallinas, Margarita; Molina, Susana; Vicente, Gonzalo; Sánchez-Martínez, Ruth; Vargas, Teodoro; García-Risco, Mónica R; Fornari, Tiziana; Reglero, Guillermo; Ramírez de Molina, Ana

    2014-06-01

    Breast cancer is the leading cause of cancer-related mortality among females worldwide, and therefore the development of new therapeutic approaches is still needed. Rosemary (Rosmarinus officinalis L.) extract possesses antitumor properties against tumor cells from several organs, including breast. However, in order to apply it as a complementary therapeutic agent in breast cancer, more information is needed regarding the sensitivity of the different breast tumor subtypes and its effect in combination with the currently used chemotherapy. Here, we analyzed the antitumor activities of a supercritical fluid rosemary extract (SFRE) in different breast cancer cells, and used a genomic approach to explore its effect on the modulation of ER-α and HER2 signaling pathways, the most important mitogen pathways related to breast cancer progression. We found that SFRE exerts antitumor activity against breast cancer cells from different tumor subtypes and the downregulation of ER-α and HER2 receptors by SFRE might be involved in its antitumor effect against estrogen-dependent (ER+) and HER2 overexpressing (HER2+) breast cancer subtypes. Moreover, SFRE significantly enhanced the effect of breast cancer chemotherapy (tamoxifen, trastuzumab, and paclitaxel). Overall, our results support the potential utility of SFRE as a complementary approach in breast cancer therapy. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  20. Breast-Conserving Surgery Followed by Radiation Therapy With MRI-Detected Stage I or Stage II Breast Cancer

    Science.gov (United States)

    2011-12-07

    Ductal Breast Carcinoma in Situ; Estrogen Receptor-negative Breast Cancer; Estrogen Receptor-positive Breast Cancer; HER2-negative Breast Cancer; HER2-positive Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Male Breast Cancer; Medullary Ductal Breast Carcinoma With Lymphocytic Infiltrate; Mucinous Ductal Breast Carcinoma; Papillary Ductal Breast Carcinoma; Progesterone Receptor-negative Breast Cancer; Progesterone Receptor-positive Breast Cancer; Stage I Breast Cancer; Stage II Breast Cancer; Tubular Ductal Breast Carcinoma

  1. Getting free of breast cancer

    DEFF Research Database (Denmark)

    Halttunen, Arja; Hietanen, P; Jallinoja, P

    1992-01-01

    Twenty-two breast cancer patients who were relapse-free and had no need for cancer-related treatment were interviewed 8 years after mastectomy in order to evaluate their feelings of getting free of breast cancer and the meaning of breast cancer in their lives. The study is a part of an intervention...... and follow-up study of 57 breast cancer patients. Half of the 22 patients still had frequent or occasional thoughts of recurrence and over two-thirds still thought they had not been 'cured' of cancer. More than half of the patients admitted that going through breast cancer had made them more mature. Women...... who had less thoughts of recurrence belonged to a group that had gone through an eight-week group psychotherapy intervention, were less depressed and had more other illnesses. Women who felt 'cured' had less limitations and restrictions due to cancer and belonged more often to higher social classes...

  2. Hereditary forms of breast cancer

    International Nuclear Information System (INIS)

    Bella, V.

    2009-01-01

    Breast cancer is the most common oncologic disease in the female population. Besides the sporadic occurrence it occurs in the familial and hereditary form. Persons with the occurrence of positive family anamnesis of breast cancer should be actively investigated. In the indicated cases it is necessary to send the woman to genetic examination. In case that the hereditary form of breast cancer is affirmed it is necessary to examine her family relatives. Women with the hereditary form of breast cancer occur in about 5 – 10 % portion from all women diagnosed with breast cancer. Nowadays we already know that 80 % of hereditary breast cancers are due to germ mutations in BRCA 1 and BRCA 2 gene. Persons with detected gene mutations must be dispensarized in the centres intended for it. (author)

  3. Digital image analysis outperforms manual biomarker assessment in breast cancer

    DEFF Research Database (Denmark)

    Stålhammar, Gustav; Fuentes Martinez, Nelson; Lippert, Michael

    2016-01-01

    In the spectrum of breast cancers, categorization according to the four gene expression-based subtypes 'Luminal A,' 'Luminal B,' 'HER2-enriched,' and 'Basal-like' is the method of choice for prognostic and predictive value. As gene expression assays are not yet universally available, routine immu...

  4. Progesterone in Breast Cancer Angiogenesis

    OpenAIRE

    Botelho, Monica C.; Soares, Raquel; Alves, Helena

    2015-01-01

    The involvement of steroid hormones in breast carcinogenesis is well established. Recent evidence suggests that angiogenesis can be regulated by hormones. Both oestrogen and progesterone have been implicated in the angiogenic process of hormone-dependent cancers, such as breast cancer. Vascular Endothelial Growth Factor (VEGF) is a growth factor involved in angiogenesis in breast cancer that is up-regulated by estrogens. In our study we evaluated the role of progesterone in the expression of ...

  5. Male breast cancer

    International Nuclear Information System (INIS)

    Ferrando, F.; Vidal, M.A.; Caballero, A.J.; Martinez, A.; Lluch, A.

    1997-01-01

    To analyze the radiological and ultrasonographic signs that contribute to the diagnosis of male breast cancer to establish its differential diagnosis with regard to the most common pathologies involving the male breast. We studied 14 patients diagnosed as heaving breast cancer over the past 23 years. We reviewed their medical records, personal and familial history disease, use of pharmacological agents and the mammographic and ultrasonographic findings. The literature on this subject was also reviewed. Given the fact that his lesion is rare and unexpected in men, a large percentage of the cases, especially those studied in the early years of the study period, involved very advanced stages of the disease at diagnosis. The most common clinical finding was retroarelar mass. Mammography usually reveals a well.defined mass and ultrasound shows a well-defined, hypoechoic, heterogeneous mass. The most frequent histological type is, an in women, the infiltrating ductal carcinoma. A palpable breast mass in a man should suggest possible malignant disease. Thus, mammographic and ultrasonographic studies should be performed early, accompanied, if necessary, by aspiration biopsy; with these measures the prognosis may approximate that of women. (Author) 21 refs

  6. [Organized breast cancer screening].

    Science.gov (United States)

    Rouëssé, Jacques; Sancho-Garnier, Hélèn

    2014-02-01

    Breast screening programs are increasingly controversial, especially regarding two points: the number of breast cancer deaths they avoid, and the problem of over-diagnosis and over-treatment. The French national breast cancer screening program was extended to cover the whole country in 2004. Ten years later it is time to examine the risk/benefit ratio of this program and to discuss the need for change. Like all forms of cancer management, screening must be regularly updated, taking into account the state of the art, new evidence, and uncertainties. All screening providers should keep themselves informed of the latest findings. In the French program, women aged 50-74 with no major individual or familial risk factors for breast cancer are offered screening mammography and clinical breast examination every two years. Images considered non suspicious of malignancy by a first reader are re-examined by a second reader. The devices and procedures are subjected to quality controls. Participating radiologists (both public and private) are required to read at least 500 mammographies per year. The program's national participation rate was 52.7 % in 2012. When individual screening outside of the national program is taken into account (nearly 15 % of women), coverage appears close to the European recommendation of 65 %. Breast cancer mortality has been falling in France by 0.6 % per year for over 30 years, starting before mass screening was implemented, and by 1.5 % since 2005. This decline can be attributed in part to earlier diagnosis and better treatment, so that the specific impact of screening cannot easily be measured. Over-treatment, defined as the detection and treatment of low-malignancy tumors that would otherwise not have been detected in a person's lifetime, is a major negative effect of screening, but its frequency is not precisely known (reported to range from 1 % to 30 %). In view of these uncertainties, it would be advisable to modify the program in order to

  7. Optimized NSAIDS for Breast Cancer Prevention

    National Research Council Canada - National Science Library

    Carson, Dennis A

    2005-01-01

    ...) develop breast cancer less frequently. However, these drugs have side effects toward the stomach, liver and kidneys, particularly at the high doses potentially required to prevent breast cancer...

  8. Estrogens and breast cancer

    Directory of Open Access Journals (Sweden)

    HANKINSON SUSAN E

    1997-01-01

    Full Text Available In this review, we summarize the epidemiologic evidence for the associations of oral contraceptives and postmenopausal hormones with risk of breast cancer. We also describe the biologic plausibility of these relationships. Overall, there appears to be little, if any, increase in risk with oral contraceptive use in general, even among users for 10 or more years. However, compared to never users, current oral contraceptive users appear to have a modest elevation in risk that subsides within about 10 years after cessation of use. For postmenopausal hormones, the weight of the evidence suggests little or no increase in risk among users of short duration, or for use in the past. However, current longer term use is associated with an increased risk of breast cancer that increases with duration. This increase in risk is large enough, and well enough supported, to be considered along with the other risks and benefits of postmenopausal hormone therapy.

  9. Dosimetry of breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Ramirez C, G; Restrepo, J; Aguirre, C A [Hospital Universitario del Valle, Cali (Colombia)

    1996-08-01

    The systemic therapy of breast cancer has also changed profoundly during the last 60 years, and in this time the integration of treatment modalities involve a major area of investigation. The dosimetry of breast cancer presents different complications which can range from the Physician`s handling of the neoplasia up to the simple aspects of physical simulation, contour design, radiation fields, irregular surfaces and computer programs containing mathematical equations which differ little or largely with the reality of the radiation distribution into the volume to be irradiated. We have studied the problem using two types of measurements to determine how the radiation distribution is in irregular surfaces, and designing an easier skill to be used with each patient, in order to optimize the treatment with respect to the simulation and verification process. (author). 7 refs.

  10. Unemployment among breast cancer survivors.

    Science.gov (United States)

    Carlsen, Kathrine; Ewertz, Marianne; Dalton, Susanne Oksbjerg; Badsberg, Jens Henrik; Osler, Merete

    2014-05-01

    Though about 20% of working age breast cancer survivors do not return to work after treatment, few studies have addressed risk factors for unemployment. The majority of studies on occupational consequences of breast cancer focus on non-employment, which is a mixture of sickness absence, unemployment, retirement pensions and other reasons for not working. Unemployment in combination with breast cancer may represent a particular challenge for these women. The aim of the present study is therefore to analyze the risk for unemployment in the years following diagnosis and treatment for breast cancer. This study included 14,750 women diagnosed with breast cancer in Denmark 2001-2009 identified through a population-based clinical database and linked with information from Danish administrative population based registers for information on labour market affiliation, socio-demography and co-morbid conditions. Multivariable analyses were performed by Cox's proportional hazard models. Two years after treatment, 81% of patients were still part of the work force, 10% of which were unemployed. Increasing duration of unemployment before breast cancer was associated with an adjusted HR = 4.37 (95% CI: 3.90-4.90) for unemployment after breast cancer. Other risk factors for unemployment included low socioeconomic status and demography, while adjuvant therapy did not increase the risk of unemployment. Duration of unemployment before breast cancer was the most important determinant of unemployment after breast cancer treatment. This allows identification of a particularly vulnerable group of patients in need of rehabilitation.

  11. Proteomic classification of breast cancer.

    LENUS (Irish Health Repository)

    Kamel, Dalia

    2012-11-01

    Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme-linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.

  12. Centrally necrotizing breast carcinoma: a rare histological subtype, which was cause of misdiagnosis in an evident clinical local recurrence

    Directory of Open Access Journals (Sweden)

    Hernanz Fernando

    2012-08-01

    Full Text Available Abstract Centrally necrotizing carcinoma is a rare subtype of breast carcinoma, which is characterized by an extensive central necrotic zone accounting for at least 70% of the cross-sectional area of the neoplasm. This central necrotic zone, in turn, is surrounded by a narrow rim of proliferative viable tumor cells. We report an unusual clinical situation in which a patient whose evident breast mass suggested an ipsilateral local recurrence and for which numerous attempts to confirm the histological diagnosis had failed. The patient was treated with a radical mastectomy based on clinical suspicion of breast cancer recurrence after an undesirable delay. In this case, the narrow rim of viable malignant tissue had a thickness of 0.5 to 8 mm, and the centrally necrotizing carcinoma had a central zone with a predominance of fibrosis. The special features of this case led to a misdiagnosis and to an evident clinical local recurrence.

  13. Understanding drugs in breast cancer through drug sensitivity screening.

    Science.gov (United States)

    Uhr, Katharina; Prager-van der Smissen, Wendy J C; Heine, Anouk A J; Ozturk, Bahar; Smid, Marcel; Göhlmann, Hinrich W H; Jager, Agnes; Foekens, John A; Martens, John W M

    2015-01-01

    With substantial numbers of breast tumors showing or acquiring treatment resistance, it is of utmost importance to develop new agents for the treatment of the disease, to know their effectiveness against breast cancer and to understand their relationships with other drugs to best assign the right drug to the right patient. To achieve this goal drug screenings on breast cancer cell lines are a promising approach. In this study a large-scale drug screening of 37 compounds was performed on a panel of 42 breast cancer cell lines representing the main breast cancer subtypes. Clustering, correlation and pathway analyses were used for data analysis. We found that compounds with a related mechanism of action had correlated IC50 values and thus grouped together when the cell lines were hierarchically clustered based on IC50 values. In total we found six clusters of drugs of which five consisted of drugs with related mode of action and one cluster with two drugs not previously connected. In total, 25 correlated and four anti-correlated drug sensitivities were revealed of which only one drug, Sirolimus, showed significantly lower IC50 values in the luminal/ERBB2 breast cancer subtype. We found expected interactions but also discovered new relationships between drugs which might have implications for cancer treatment regimens.

  14. In situ breast cancer

    International Nuclear Information System (INIS)

    Pacheco, Luis

    2004-01-01

    In situ breast cancer, particularly the ductal type, is increasing in frequency in the developed countries as well as in Ecuador, most probably. These lesions carry a higher risk of developing a subsequent invasive cancer. Treatment has changed recently due to results of randomized studies, from classical mastectomy to conservative surgery associated to radiotherapy. The Van Nuys Prognostic Index is currently the most usual instrument to guide diagnosis and treatment. Tamoxifen seems to decrease significantly the risk of tumor recurrence after initial treatment. (The author)

  15. Interleukin-19 in Breast Cancer

    Directory of Open Access Journals (Sweden)

    Ying-Yin Chen

    2013-01-01

    Full Text Available Inflammatory cytokines within the tumor microenvironment are linked to progression in breast cancer. Interleukin- (IL- 19, part of the IL-10 family, contributes to a range of diseases and disorders, such as asthma, endotoxic shock, uremia, psoriasis, and rheumatoid arthritis. IL-19 is expressed in several types of tumor cells, especially in squamous cell carcinoma of the skin, tongue, esophagus, and lung and invasive duct carcinoma of the breast. In breast cancer, IL-19 expression is correlated with increased mitotic figures, advanced tumor stage, higher metastasis, and poor survival. The mechanisms of IL-19 in breast cancer have recently been explored both in vitro and in vivo. IL-19 has an autocrine effect in breast cancer cells. It directly promotes proliferation and migration and indirectly provides a microenvironment for tumor progression, which suggests that IL-19 is a prognostic marker in breast cancer and that antagonizing IL-19 may have therapeutic potential.

  16. Study design requirements for RNA sequencing-based breast cancer diagnostics.

    Science.gov (United States)

    Mer, Arvind Singh; Klevebring, Daniel; Grönberg, Henrik; Rantalainen, Mattias

    2016-02-01

    Sequencing-based molecular characterization of tumors provides information required for individualized cancer treatment. There are well-defined molecular subtypes of breast cancer that provide improved prognostication compared to routine biomarkers. However, molecular subtyping is not yet implemented in routine breast cancer care. Clinical translation is dependent on subtype prediction models providing high sensitivity and specificity. In this study we evaluate sample size and RNA-sequencing read requirements for breast cancer subtyping to facilitate rational design of translational studies. We applied subsampling to ascertain the effect of training sample size and the number of RNA sequencing reads on classification accuracy of molecular subtype and routine biomarker prediction models (unsupervised and supervised). Subtype classification accuracy improved with increasing sample size up to N = 750 (accuracy = 0.93), although with a modest improvement beyond N = 350 (accuracy = 0.92). Prediction of routine biomarkers achieved accuracy of 0.94 (ER) and 0.92 (Her2) at N = 200. Subtype classification improved with RNA-sequencing library size up to 5 million reads. Development of molecular subtyping models for cancer diagnostics requires well-designed studies. Sample size and the number of RNA sequencing reads directly influence accuracy of molecular subtyping. Results in this study provide key information for rational design of translational studies aiming to bring sequencing-based diagnostics to the clinic.

  17. Transcriptomic and genomic features of invasive lobular breast cancer.

    Science.gov (United States)

    Desmedt, Christine; Zoppoli, Gabriele; Sotiriou, Christos; Salgado, Roberto

    2017-06-01

    Accounting for 10-15% of all breast neoplasms, invasive lobular breast cancer (ILC) is the second most common histological subtype of breast cancer after invasive ductal breast cancer (IDC). Understanding ILC biology, which differs from IDC in terms of clinical presentation, treatment response, relapse timing and patterns, is essential in order to adopt novel, disease-specific management strategies. While the contribution of the histological subtypes to tumour biology has been poorly investigated and acknowledged in the past, recently several major, independent efforts have led to the assembly and molecular characterization of well-annotated ILC case sets. In this review, we provide a critical overview of the literature exploring ILC, through comprehensive and multiomic methods. The first part specifically focuses on ILC transcriptomic features by reviewing the intrinsic molecular subtypes, the application of gene expression scores for the prediction of recurrence, and the identification of gene expression subtypes. The second part describes the main research efforts that lead to the identification of the genomic landscape of ILC, with a special focus to findings that differentiate ILC from IDC and carry potential clinical relevance. Copyright © 2017 Elsevier Ltd. All rights reserved.

  18. Paclitaxel Albumin-Stabilized Nanoparticle Formulation in Treating Older Patients With Locally Advanced or Metastatic Breast Cancer

    Science.gov (United States)

    2018-03-05

    Male Breast Cancer; Recurrent Breast Cancer; Stage IV Breast Cancer; Estrogen Receptor-negative Breast Cancer; Estrogen Receptor-positive Breast Cancer; HER2-negative Breast Cancer; HER2-positive Breast Cancer; Progesterone Receptor-negative Breast Cancer; Progesterone Receptor-positive Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Triple-negative Breast Cancer

  19. Wnt signaling in triple-negative breast cancer

    Science.gov (United States)

    Pohl, SÖ-G; Brook, N; Agostino, M; Arfuso, F; Kumar, A P; Dharmarajan, A

    2017-01-01

    Wnt signaling regulates a variety of cellular processes, including cell fate, differentiation, proliferation and stem cell pluripotency. Aberrant Wnt signaling is a hallmark of many cancers. An aggressive subtype of breast cancer, known as triple-negative breast cancer (TNBC), demonstrates dysregulation in canonical and non-canonical Wnt signaling. In this review, we summarize regulators of canonical and non-canonical Wnt signaling, as well as Wnt signaling dysfunction that mediates the progression of TNBC. We review the complex molecular nature of TNBC and the emerging therapies that are currently under investigation for the treatment of this disease. PMID:28368389

  20. Brachytherapy for breast cancer

    International Nuclear Information System (INIS)

    Spikalovas, V.; Mudenas, A.; Karoesiene, E.; Mickevicius, R.

    1996-01-01

    In 1987-1995 a total of 347 patients with breast cancer underwent interstitial treatment. Two methods of irradiation were applied. 1. When patients refused surgery, external radiotherapy was given followed by implant radiotherapy for a dose of 20-30 Gy. Needle sources were applied for treatment with an increasing activity on the ends. The application of special template devices made it possible to implant radioactive sources in a strictly pre-set geometry. This allowed to place the sources in the necessary geometry for the whole course of irradiation. Dosimetric planning was performed in Gray-equivalents to a selected isodose curve mostly 85%. Treatment time was 20-50 hours. 2. In cases when the tumour was localized in the medial quadrant of breast, interstitial therapy was applied to the parasternal lymph nodes. During mastectomy catheters were placed in a. thoracica interna of the corresponding side. On the first or second postoperative day flexible radioactive sources were inserted into catheters. Their active length was 10-12 cm. Irradiation dose at a distance of 2 cm from the centre of source was 40-45 Gy. Results: There was minimum radiation effect on the adjusting organs and tissues. Local recurrence of tumour in the region of irradiation was in 6 patients. Conclusions: The application of interstitial radiotherapy in treatment of breast cancer is effective and the results of radiation treatment are encouraging

  1. Inflammatory breast cancer

    International Nuclear Information System (INIS)

    Wagnerova, M.

    2012-01-01

    Inflammatory breast cancer (IBC) is an extremely aggressive disease that progresses rapidly and carries a very grim prognosis. It is characterized by erythema, rapid enlargement of the breast, skin ridging, and a characteristics peau d´orange appearance of the skin secondary to dermal lymphatic tumor involvement. Although a palpable tumor may not by present, about 55% to 85% of patient will present with metastases to the axillary or supraclavicular lymph nodes. Diagnosis of IBC is made on the basis of these clinical characteristics, as well as histologic verification of carcinoma. Accurate diagnosis is critically important, as multimodal therapy can significantly improve outcome if instituted early enough. Primary systemic treatment (neoadjuvant, induction, initials) is standard treatment for inflammatory breast cancer. If treatment response is not satisfactory it is necessary to look for new treatment regimens with different concept of dose intensity, density and sequence of treatment. In the neoadjuvant setting it is possible to employ all targeted and non-targeted therapies as was shown in a number of clinical trials. (author)

  2. Breast cancer screening in Korean woman with dense breast tissue

    International Nuclear Information System (INIS)

    Shin, Hee Jung; Ko, Eun Sook; Yi, Ann

    2015-01-01

    Asian women, including Korean, have a relatively higher incidence of dense breast tissue, compared with western women. Dense breast tissue has a lower sensitivity for the detection of breast cancer and a higher relative risk for breast cancer, compared with fatty breast tissue. Thus, there were limitations in the mammographic screening for women with dense breast tissue, and many studies for the supplemental screening methods. This review included appropriate screening methods for Korean women with dense breasts. We also reviewed the application and limitation of supplemental screening methods, including breast ultrasound, digital breast tomosynthesis, and breast magnetic resonance imaging; and furthermore investigated the guidelines, as well as the study results

  3. Breast cancer screening in Korean woman with dense breast tissue

    Energy Technology Data Exchange (ETDEWEB)

    Shin, Hee Jung [Dept. of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul (Korea, Republic of); Ko, Eun Sook [Dept. of Radiology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul (Korea, Republic of); Yi, Ann [Dept. of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul (Korea, Republic of)

    2015-11-15

    Asian women, including Korean, have a relatively higher incidence of dense breast tissue, compared with western women. Dense breast tissue has a lower sensitivity for the detection of breast cancer and a higher relative risk for breast cancer, compared with fatty breast tissue. Thus, there were limitations in the mammographic screening for women with dense breast tissue, and many studies for the supplemental screening methods. This review included appropriate screening methods for Korean women with dense breasts. We also reviewed the application and limitation of supplemental screening methods, including breast ultrasound, digital breast tomosynthesis, and breast magnetic resonance imaging; and furthermore investigated the guidelines, as well as the study results.

  4. Follow-up of patients with localized breast cancer and first indicators of advanced breast cancer recurrence: A retrospective study.

    Science.gov (United States)

    Viot, Julien; Bachour, Martin; Meurisse, Aurélia; Pivot, Xavier; Fiteni, Frédéric

    2017-08-01

    We conducted a retrospective study to assess the follow-up of patients with localized breast cancer and the first indicators of advanced breast cancer recurrence. All patients with advanced breast cancer recurrence treated between January 2010 and June 2016 in our institution were registered. Among these patients, 303 patients initially treated for early breast cancer with curative intent were identified. After initial curative treatment, follow-up involved the oncologist, the general practitioner and the gynecologist in 68.0%, 48.9% and 19.1% of cases, respectively. The median DFI was 4 years for luminal A, 3.8 years for luminal B, 3.7 years for HER2-positive and 1.5 years for TNBC (p = 0.07). Breast cancer tumor marker was prescribed for 164 patients (54.1%). No difference in terms of follow-up was observed according to the molecular subtype. Symptoms were the primary indicator of relapse for 143 patients (47.2%). Breast cancer recurrence was discovered by CA 15.3 elevation in 57 patients (18.8%) and by CAE elevation in 3 patients (1%). The rate of relapse diagnosed by elevation of CA 15.3 or CAE was not statistically associated with the molecular subtype (p = 0.65). Luminal A cases showed a significantly higher rate of bone metastases (p = 0.0003). TNBC cases showed a significantly higher rate of local recurrence (p = 0.002) and a borderline statistical significant higher rate of lung/pleural metastases (p = 0.07). Follow-up recommendations could be adapted in clinical practice according to the molecular subtype. General practitioners should be more involved by the specialists in breast cancer follow-up. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. Fulvestrant and/or Anastrozole in Treating Postmenopausal Patients With Stage II-III Breast Cancer Undergoing Surgery

    Science.gov (United States)

    2018-04-06

    Estrogen Receptor-positive Breast Cancer; HER2-negative Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Recurrent Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  6. System delays in breast cancer

    African Journals Online (AJOL)

    registry with an audit capability. We suggest targeting an 8-week period for the work-up and staging of every patient with breast cancer. The establishment of ... or less' and 'women with symptoms and signs suggestive of breast cancer must be ...

  7. Conventional surgery in breast cancer

    International Nuclear Information System (INIS)

    Tapia Herrera, Andres

    2013-01-01

    General aspects of breast cancer were described from the epidemiological point of view, clinical and pathological, as well as its impact at global and national levels. Parenchyma conservative surgery and/or breast skin was analyzed exhaustively as a cancer treatment analyzed exhaustively, to your specifications, requirements, technical aspects, risks, benefits, degree of oncological safety and benefits for patients [es

  8. Breast cancer in the elderly

    African Journals Online (AJOL)

    JhfBK: A I'ccr-mvicw Journal of liiomeclical Scicnccs. July 2002, Vol. 1 No. 1 pp 33-42. Breast cancer in the elderly. ABSTRACT. Between Janua~y 1997 and December 2001,107 patients were admitted and treated for breast cancer at the University of Benin Teaching Hospital, Nigeria. Of these, 27. (25.2%) were aged 60 ...

  9. Overdiagnosis in breast cancer screening

    DEFF Research Database (Denmark)

    Lynge, Elsebeth; Beau, Anna-Belle; Christiansen, Peer

    2017-01-01

    Overdiagnosis in breast cancer screening is an important issue. A recent study from Denmark concluded that one in three breast cancers diagnosed in screening areas in women aged 50-69 years were overdiagnosed. The purpose of this short communication was to disentangle the study's methodology...

  10. Breast Cancer in Young Women

    Science.gov (United States)

    ... Screenings Most Schools Can Do More to Help Students Stay Sun Safe Parents and Friends Can Influence ... Starts in Childhood Cancer, the Flu, and You Cervical Cancer ... notice a change in the size or shape of your breast, feel pain in your breast, have nipple discharge other than ...

  11. Mode of detection: an independent prognostic factor for women with breast cancer.

    Science.gov (United States)

    Hofvind, Solveig; Holen, Åsne; Román, Marta; Sebuødegård, Sofie; Puig-Vives, Montse; Akslen, Lars

    2016-06-01

    To investigate breast cancer survival and risk of breast cancer death by detection mode (screen-detected, interval, and detected outside the screening programme), adjusting for prognostic and predictive tumour characteristics. Information about detection mode, prognostic (age, tumour size, histologic grade, lymph node status) and predictive factors (molecular subtypes based on immunohistochemical analyses of hormone receptor status (estrogen and progesterone) and Her2 status) were available for 8344 women in Norway aged 50-69 at diagnosis of breast cancer, 2005-2011. A total of 255 breast cancer deaths were registered by the end of 2011. Kaplan-Meier method was used to estimate six years breast cancer specific survival and Cox proportional hazard model to estimate hazard ratio (HR) for breast cancer death by detection mode, adjusting for prognostic and predictive factors. Women with screen-detected cancer had favourable prognostic and predictive tumour characteristics compared with interval cancers and those detected outside the screening programme. The favourable characteristics were present for screen-detected cancers, also within the subtypes. Adjusted HR of dying from breast cancer was two times higher for women with symptomatic breast cancer (interval or outside the screening), using screen-detected tumours as the reference. Detection mode is an independent prognostic factor for women diagnosed with breast cancer. Information on detection mode might be relevant for patient management to avoid overtreatment. © The Author(s) 2015.

  12. The Premenopausal Breast Cancer Collaboration: A pooling project of studies participating in the National Cancer Institute Cohort Consortium

    Science.gov (United States)

    Nichols, Hazel B.; Schoemaker, Minouk J.; Wright, Lauren B.; McGowan, Craig; Brook, Mark N.; McClain, Kathleen M.; Jones, Michael E.; Adami, Hans-Olov; Agnoli, Claudia; Baglietto, Laura; Bernstein, Leslie; Bertrand, Kimberly A.; Blot, William J.; Boutron-Ruault, Marie-Christine; Butler, Lesley; Chen, Yu; Doody, Michele M.; Dossus, Laure; Eliassen, A. Heather; Giles, Graham G.; Gram, Inger T.; Hankinson, Susan E.; Hoffman-Bolton, Judy; Kaaks, Rudolf; Key, Timothy J.; Kirsh, Victoria A.; Kitahara, Cari M.; Koh, Woon-Puay; Larsson, Susanna C.; Lund, Eiliv; Ma, Huiyan; Merritt, Melissa A.; Milne, Roger L.; Navarro, Carmen; Overvad, Kim; Ozasa, Kotaro; Palmer, Julie R.; Peeters, Petra H.; Riboli, Elio; Rohan, Thomas E.; Sadakane, Atsuko; Sund, Malin; Tamimi, Rulla M.; Trichopoulou, Antonia; Vatten, Lars; Visvanathan, Kala; Weiderpass, Elisabete; Willett, Walter C.; Wolk, Alicja; Zeleniuch-Jacquotte, Anne; Zheng, Wei; Sandler, Dale P.; Swerdlow, Anthony J.

    2017-01-01

    Breast cancer is a leading cancer diagnosis among premenopausal women around the world. Unlike rates in postmenopausal women, incidence rates of advanced breast cancer have increased in recent decades for premenopausal women. Progress in identifying contributors to breast cancer risk among premenopausal women has been constrained by the limited numbers of premenopausal breast cancer cases in individual studies and resulting low statistical power to subcategorize exposures or to study specific subtypes. The Premenopausal Breast Cancer Collaborative Group was established to facilitate cohort-based analyses of risk factors for premenopausal breast cancer by pooling individual-level data from studies participating in the United States National Cancer Institute Cohort Consortium. This paper describes the Group, including the rationale for its initial aims related to pregnancy, obesity, and physical activity. We also describe the 20 cohort studies with data submitted to the Group by June 2016. The infrastructure developed for this work can be leveraged to support additional investigations. PMID:28600297

  13. Statins and breast cancer prognosis

    DEFF Research Database (Denmark)

    Ahern, Thomas P; Lash, Timothy L; Damkier, Per

    2014-01-01

    Much preclinical and epidemiological evidence supports the anticancer effects of statins. Epidemiological evidence does not suggest an association between statin use and reduced incidence of breast cancer, but does support a protective effect of statins-especially simvastatin-on breast cancer...... recurrence. Here, we argue that the existing evidence base is sufficient to justify a clinical trial of breast cancer adjuvant therapy with statins and we advocate for such a trial to be initiated without delay. If a protective effect of statins on breast cancer recurrence is supported by trial evidence......, then the indications for a safe, well tolerated, and inexpensive treatment can be expanded to improve outcomes for breast cancer survivors. We discuss several trial design opportunities-including candidate predictive biomarkers of statin safety and efficacy-and off er solutions to the key challenges involved...

  14. Decline in breast cancer mortality

    DEFF Research Database (Denmark)

    Njor, Sisse Helle; Schwartz, Walter; Blichert-Toft, Mogens

    2015-01-01

    OBJECTIVES: When estimating the decline in breast cancer mortality attributable to screening, the challenge is to provide valid comparison groups and to distinguish the screening effect from other effects. In Funen, Denmark, multidisciplinary breast cancer management teams started before screening...... was introduced; both activities came later in the rest of Denmark. Because Denmark had national protocols for breast cancer treatment, but hardly any opportunistic screening, Funen formed a "natural experiment", providing valid comparison groups and enabling the separation of the effect of screening from other...... factors. METHODS: Using Poisson regression we compared the observed breast cancer mortality rate in Funen after implementation of screening with the expected rate without screening. The latter was estimated from breast cancer mortality in the rest of Denmark controlled for historical differences between...

  15. Unemployment among breast cancer survivors

    DEFF Research Database (Denmark)

    Carlsen, Kathrine; Ewertz, Marianne; Dalton, Susanne Oksbjerg

    2014-01-01

    AIM: Though about 20% of working age breast cancer survivors do not return to work after treatment, few studies have addressed risk factors for unemployment. The majority of studies on occupational consequences of breast cancer focus on non-employment, which is a mixture of sickness absence......, unemployment, retirement pensions and other reasons for not working. Unemployment in combination with breast cancer may represent a particular challenge for these women. The aim of the present study is therefore to analyze the risk for unemployment in the years following diagnosis and treatment for breast...... cancer. METHOD: This study included 14,750 women diagnosed with breast cancer in Denmark 2001-2009 identified through a population-based clinical database and linked with information from Danish administrative population based registers for information on labour market affiliation, socio...

  16. Radiation-induced breast cancer

    International Nuclear Information System (INIS)

    Finnerty, N.A.; Buzdar, A.U.; Blumenschein, G.R.

    1984-01-01

    Between 1975 and 1983, sixteen patients with a history of irradiation at an early age to the head, neck, or chest areas for a variety of conditions in whom breast cancer subsequently developed were seen at out institute. The median latent period between the irradiation and the development of breast cancer was 420 months. The distribution of patients by stage of the disease and the median age at diagnosis of this subgroup was similar to the breast cancer observed in the general population. The subsequent course of this disease was also similar to the breast cancer observed in the general population. A substantial number of women have been exposed to irradiation at a young age, and these women are at a higher risk of having breast cancer develop. These women should be closely observed to discover the disease in an early curable stage

  17. Abortion, Miscarriage, and Breast Cancer Risk

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... interactions of pregnancy-related mammotrophic factors, ligands, and receptors? What is the time course of pregnancy-related ...

  18. Treatment Option Overview (Male Breast Cancer)

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... back). Tests include the following: Estrogen and progesterone receptor test : A test to measure the amount of ...

  19. Treatment Options for Male Breast Cancer

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... back). Tests include the following: Estrogen and progesterone receptor test : A test to measure the amount of ...

  20. Other Considerations for Pregnancy and Breast Cancer

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... Tests may include the following: Estrogen and progesterone receptor test : A test to measure the amount of ...

  1. General Information about Male Breast Cancer

    Science.gov (United States)

    ... Common Cancer Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer ... back). Tests include the following: Estrogen and progesterone receptor test : A test to measure the amount of ...

  2. Role of tumor microenvironment in triple-negative breast cancer and its prognostic significance

    Institute of Scientific and Technical Information of China (English)

    Tianjian Yu; Genhong Di

    2017-01-01

    Breast cancer has been shown to live in the tumor microenvironment,which consists of not only breast cancer cells themselves but also a significant amount of pathophysiologically altered surrounding stroma and cells.Diverse components of the breast cancer microenvironment,such as suppressive immune cells,re-programmed fibroblast cells,altered extracellular matrix (ECM) and certain soluble factors,synergistically impede an effective anti-tumor response and promote breast cancer progression and metastasis.Among these components,stromal cells in the breast cancer microenvironment are characterized by molecular alterations and aberrant signaling pathways,whereas the ECM features biochemical and biomechanical changes.However,triple-negative breast cancer (TNBC),the most aggressive subtype of this disease that lacks effective therapies available for other subtypes,is considered to feature a unique microenvironment distinct from that of other subtypes,especially compared to Luminal A subtype.Because these changes are now considered to significantly impact breast cancer development and progression,these unique alterations may serve as promising prognostic factors of clinical outcome or potential therapeutic targets for the treatment of TNBC.In this review,we focus on the composition of the TNBC microenvironment,concomitant distinct biological alteration,specific interplay between various cell types and TNBC cells,and the prognostic implications of these findings.

  3. Common breast cancer susceptibility alleles are associated with tumor subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2

    DEFF Research Database (Denmark)

    Mulligan, Anna Marie; Couch, Fergus J; Barrowdale, Daniel

    2011-01-01

    BRCA1 carriers, SNP rs2981582 (FGFR2) exhibited the biggest difference based on ER status (per-allele HR for ER-positive=1.35, 95%CI:1.17-1.56 vs HR=0.91, 95%CI:0.85-0.98 for ER-negative, P-heterogeneity=6.5e-6). In contrast, SNP rs2046210 at 6q25.1 near ESR1 was primarily associated with ER...... in BRCA1 and BRCA2 mutation carriers defined by estrogen (ER) or progesterone receptor (PR) status of the tumor. METHODS: We used genotype data on up to 11,421 BRCA1 and 7,080 BRCA2 carriers, of whom 4,310 had been affected with breast cancer and had information on either ER or PR status of the tumor......, to assess the associations of twelve loci with breast cancer tumor characteristics. Associations were evaluated using a retrospective cohort approach. RESULTS: The results suggested stronger associations with ER-positive breast cancer than ER-negative for eleven loci in both BRCA1 and BRCA2 carriers. Among...

  4. Early Diagnosis of Breast Cancer.

    Science.gov (United States)

    Wang, Lulu

    2017-07-05

    Early-stage cancer detection could reduce breast cancer death rates significantly in the long-term. The most critical point for best prognosis is to identify early-stage cancer cells. Investigators have studied many breast diagnostic approaches, including mammography, magnetic resonance imaging, ultrasound, computerized tomography, positron emission tomography and biopsy. However, these techniques have some limitations such as being expensive, time consuming and not suitable for young women. Developing a high-sensitive and rapid early-stage breast cancer diagnostic method is urgent. In recent years, investigators have paid their attention in the development of biosensors to detect breast cancer using different biomarkers. Apart from biosensors and biomarkers, microwave imaging techniques have also been intensely studied as a promising diagnostic tool for rapid and cost-effective early-stage breast cancer detection. This paper aims to provide an overview on recent important achievements in breast screening methods (particularly on microwave imaging) and breast biomarkers along with biosensors for rapidly diagnosing breast cancer.

  5. Breast cancer in men

    International Nuclear Information System (INIS)

    Azevedo, C.M. de; Villas-Boas, C.L.P.; Koch, H.A.; Nogueira, M.R.

    1992-01-01

    After a study of all cases of masculine breast cancer registered at the INCa from 1983 to 1989, the author present the most usual clinical, radiological and histopathological findings. The ductal infiltrating type of carcinoma was predominant; there were also six cases of secondary implant and two patients who died. The value of this article lies on the opportunity of presenting 11 cases of this pathology, which represent only 0,2% of malignant tumors in men, and to describe its manifestations and call the attention of radiologists for this entity. (author)

  6. Metabolic Syndrome and Breast Cancer Risk.

    Science.gov (United States)

    Wani, Burhan; Aziz, Shiekh Aejaz; Ganaie, Mohammad Ashraf; Mir, Mohammad Hussain

    2017-01-01

    The study was meant to estimate the prevalence of metabolic syndrome in patients with breast cancer and to establish its role as an independent risk factor on occurrence of breast cancer. Fifty women aged between 40 and 80 years with breast cancer and fifty controls of similar age were assessed for metabolic syndrome prevalence and breast cancer risk factors, including age at menarche, reproductive status, live births, breastfeeding, and family history of breast cancer, age at diagnosis of breast cancer, body mass index, and metabolic syndrome parameters. Metabolic syndrome prevalence was found in 40.0% of breast cancer patients, and 18.0% of those in control group ( P = 0.02). An independent and positive association was seen between metabolic syndrome and breast cancer risk (odds ratio = 3.037; 95% confidence interval 1.214-7.597). Metabolic syndrome is more prevalent in breast cancer patients and is an independent risk factor for breast cancer.

  7. Breast cancer in Kumasi, Ghana

    International Nuclear Information System (INIS)

    Ohene-Yeboah, M.; Adjei, E.

    2012-01-01

    Breast cancer is the leading cause of cancer deaths in Ghanaian women.To describes the characteristics of breast cancer patients attending the Komfo Anokye Teaching Hospital in Kumasi, Ghana.The study was conducted at the Komfo Anokye Teaching Hospital. Between July 1st 2004 and June 30th 2009 patients presenting with breast lumps were assessed by clinical examination, imaging studies and pathological examination. Relevant clinical and pathological were recorded prospectively data on all patients with microscopically proven breast cancer. The cancers were graded according to the modified Bloom-Richardson system. Tissue immunoperoxidase stains for oestrogen, progesterone receptors and c-erb2 oncogene were performed with commercially prepared antigens and reagents.Nineteen thousand four hundred and twenty – three (19,423) patients were seen during the study period. There were 330 (1.7%) patients with histologically proven breast cancer. The mean age was 49.1 years. A palpable breast lump was detected in 248 patients (75.2%). Two hundred and eighty –one patients (85.2%) presented with Stages III and IV , 271 (82.1%) invasive and 230 ( 85.2%) high grade carcinomas. Oestrogen and progesterone receptors were positive in 32 and 9 cases respectively. Her2 protein was positive in 11 cases. In Kumasi, as in other parts of Ghana, breast cancer affects mostly young pre-menopausal who present with advanced disease. The cancers have unfavourable prognostic features and are unlikely to respond to hormonal therapy. (au)

  8. Proteomic analysis of tissue samples in translational breast cancer research

    DEFF Research Database (Denmark)

    Gromov, Pavel; Moreira, José; Gromova, Irina

    2014-01-01

    In the last decade, many proteomic technologies have been applied, with varying success, to the study of tissue samples of breast carcinoma for protein expression profiling in order to discover protein biomarkers/signatures suitable for: characterization and subtyping of tumors; early diagnosis...... the translation of basic discoveries into the daily breast cancer clinical practice. In particular, we address major issues in experimental design by reviewing the strengths and weaknesses of current proteomic strategies in the context of the analysis of human breast tissue specimens....

  9. Self assessment and detection of breast cancer

    International Nuclear Information System (INIS)

    Singh, Priyanka; Yadav, Umesh

    2016-01-01

    Cancer is one of the leading causes of deaths in India. Approx. three million patients suffering from the disease while Breast cancer is the second most common cancer among women in India. Post operative radiotherapy after the breast conservative surgery and mastectomy have been shown to reduce the rates of local recurrence and death due to breast carcinomas. Hence awareness of breast cancer signs, symptoms and self assessment plays critical role in the care of breast cancer patients

  10. Novel Targeted Therapies for Inflammatory Breast Cancer

    Science.gov (United States)

    2017-10-01

    AWARD NUMBER: W81XWH-16-1-0461 TITLE: Novel Targeted Therapies for Inflammatory Breast Cancer PRINCIPAL INVESTIGATOR: Jose Silva CONTRACTING...CONTRACT NUMBER Novel Targeted Therapies for Inflammatory Breast Cancer 5b. GRANT NUMBER W81XWH-16-1-0461 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) l 5d...NOTES 14. ABSTRACT Inflammatory breast cancer (IBC, ~5% of all breast cancers ) is the most lethal form of breast cancer , presenting a 5- year

  11. [Management of breast cancer in a woman with breast implants].

    Science.gov (United States)

    Remacle, S; Lifrange, E; Nizet, J-L

    2015-01-01

    The incidence of breast cancer, currently one woman on eight, also concerns patients who underwent augmentation surgery. Breast implants have already been the subject of numerous publications concerning the risk of inducing breast cancer or of delaying its diagnosis; however, no significant causal relationship has been established. The purpose of this article is to assess the diagnostic and therapeutic consequences when breast cancer is identified in a patient with breast implants.

  12. Diet and breast cancer

    Directory of Open Access Journals (Sweden)

    Isabelle Romieu

    2011-10-01

    Full Text Available Both diet and nutrition have been studied in relationship with breast cancer risk, as the great variation among different countries in breast cancer incidence could possibly be explained through the inflammatory and immune response, as well as antioxidant intake, among others.To date, no clear association with diet beyond overweight and weight gain has been found, except for alcohol consumption. Nonetheless, the small number of studies done in middle to low income countries where variability of food intake is wider,is beginning to show interesting results.Tanto la dieta como la nutrición han sido estudiadas en relación con el riesgo de cáncer de mama, dada la gran variación de incidencia de cáncer entre países, y la posibilidad de explicarla a través de la respuesta inflamatoria o inmune, así como ingesta de antioxidantes,entre otros.Hasta la fecha, ninguna asociación clara con la dieta ha sido encontrada, excepto para el consumo de alcohol, más allá del sobrepeso y del incremento de peso. Sin embargo, los estudios que se están realizando en países de mediano a bajo nivel de ingresos, con mayor variabilidad de ingesta de alimentos, comienzan a mostrar resultados interesantes.

  13. Estrogens in breast cancer

    International Nuclear Information System (INIS)

    Terzieff, V.; Vázquez, A.

    2004-01-01

    The prolonged exposure to estrogen increases the risk of cancer breast, the precise role of estrogen in the carcinogenesis process is unclear. They are capable of inducing cell proliferation through different channels receptor Estrogen (ER) known, for example through MAPkinasa sensitivity the promoter of proliferation effect depends on the level of RE, or type to â, integrity (mutations may alter its function) and ligand. The different types of estrogens and related compounds have different profile of affinity for RE and effect end. The modulatory role of progestogens proliferation is very complex, and the interaction between the effector pathways of progestin’s, estrogens, EGF and IGF family - maybe others - determines the final effect .. Estrogens are mutagenic per se weak, but is now known for its hepatic metabolism occur highly reactive species such as quinones, and catechol, powerful mutagens in vitro. Direct or indirect genotoxicity probably explains Part of the effects of estrogen on tumor cells. The use of hormone replacement (HTR) increases the risk of CM, as proportional to the time of use. The combination with progestin seems to be increased risk (R R 2). It is unclear the role of phyto estrogens in the prevention the CM. In the male breast is known that the proliferative response to parenchymal different hormonal maneuvers is different. The effect is minimal castration are and maximum with the combination of estrogen and progesterone. It is unclear, however, the risk of the population exposed to hormone therapy for cancer prostate or otherwise

  14. Correlation between Duffy blood group phenotype and breast cancer incidence

    International Nuclear Information System (INIS)

    Liu, Xiao-feng; Li, Lian-fang; Ou, Zhou-luo; Shen, Rong; Shao, Zhi-min

    2012-01-01

    Different ethnicities have different distribution of Duffy blood group (DBG) phenotypes and different breast cancer morbidity. A study in our lab demonstrated that Duffy antigen/receptor for chemokines (DARC, also known as DBGP, the Duffy protein phenotype), led to the inhibition of tumorigenesis. Therefore, we tested the hypothesis that DBGP is correlated with breast cancer occurrence. DBGP proteins were examined by indirect antiglobulin testing with anti-FYa and anti-FYb antibodies. The phenotypes were classified into four groups according to the agglutination reactions: FYa + FYb+, FYa + FYb-, FYa-FYb + and FYa-FYb-. The phenotypes and pathological diagnosis of consecutively hospitalized female patients (n = 5,022) suffering from breast cancer at the Shanghai Cancer Hospital and Henan Province Cancer Hospital were investigated. The relationships between DBGP expression with breast cancer occurrence, axillary lymph status, histological subtype, tumor size pathological grade and overall survival were analyzed. The incidence of breast cancer was significantly different between FYa + FYb + (29.8%), FYa + FYb- (33.2%), FYa-FYb + (45.6%) and FYa-FYb- (59.1%; P = 0.001). Significant different numbers of breast cancer patients had metastases to the axillary lymph nodes in the FYa + FYb + group (25.1%), FYa + FYb- (36.9%), FYa-FYb + (41.0%) and FYa-FYb- (50.0%, (P = 0.005). There was a statistical significance (p = 0.022) of the overall survival difference between patients with difference phenotypes. No significant difference was observed in cancer size (t-test, p > 0.05), histological cancer type (Fisher's exact test, p > 0.05) or histological grade (Fisher's exact test, p > 0.05) between every each DBGP group. DBGP is correlated with breast cancer incidence and axillary lymph node metastasis and overall survival. Further investigations are required to determine the underlying mechanism of Duffy blood group phenotype on breast cancer risk

  15. Clinicopathologic factors associated with de novo metastatic breast cancer.

    Science.gov (United States)

    Shen, Tiansheng; Siegal, Gene P; Wei, Shi

    2016-12-01

    While breast cancers with distant metastasis at presentation (de novo metastasis) harbor significantly inferior clinical outcomes, there have been limited studies analyzing the clinicopathologic characteristics in this subset of patients. In this study, we analyzed 6126 breast cancers diagnosed between 1998 and 2013 to identify factors associated with de novo metastatic breast cancer. When compared to patients without metastasis at presentation, race, histologic grade, estrogen/progesterone receptor (ER/PR) and HER2 statuses were significantly associated with de novo metastasis in the entire cohort, whereas age, histologic grade, PR and HER2 status were the significant parameters in the subset of patients with locally advanced breast cancer (Stage IIB/III). The patients with de novo metastatic breast cancer had a significant older mean age and a lower proportion of HER2-positive tumors when compared to those with metastatic recurrence. Further, the HER2-rich subtype demonstrated a drastically higher incidence of de novo metastasis when compared to the luminal and triple-negative breast cancers in the entire cohort [odds ratio (OR)=5.68 and 2.27, respectively] and in the patients with locally advanced disease (OR=4.02 and 2.12, respectively), whereas no significant difference was seen between de novo metastatic cancers and those with metastatic recurrence. Moreover, the luminal and HER2-rich subtypes showed bone-seeking (OR=1.92) and liver-homing (OR=2.99) characteristics, respectively, for the sites of de novo metastasis, while the latter was not observed in those with metastatic recurrence. Our data suggest that an algorithm incorporating clinicopathologic factors, especially histologic grade and receptor profile, remains of significant benefit during decision making in newly diagnosed breast cancer in the pursuit of precision medicine. Copyright © 2016 Elsevier GmbH. All rights reserved.

  16. Awareness of Breast Cancer and Breast Self Examination Among ...

    African Journals Online (AJOL)

    Background: Breast cancer is the commonest malignancy affecting women in Nigeria. Regular breast self examination reduces morbidity and mortality from this disease. Objective: To assess the knowledge of breast cancer, breast self examination and practice amongst secondary school teachers in Enugu , Nigeria.

  17. Prognostic molecular markers in early breast cancer

    International Nuclear Information System (INIS)

    Esteva, Francisco J; Hortobagyi, Gabriel N

    2004-01-01

    A multitude of molecules involved in breast cancer biology have been studied as potential prognostic markers. In the present review we discuss the role of established molecular markers, as well as potential applications of emerging new technologies. Those molecules used routinely to make treatment decisions in patients with early-stage breast cancer include markers of proliferation (e.g. Ki-67), hormone receptors, and the human epidermal growth factor receptor 2. Tumor markers shown to have prognostic value but not used routinely include cyclin D 1 and cyclin E, urokinase-like plasminogen activator/plasminogen activator inhibitor, and cathepsin D. The level of evidence for other molecular markers is lower, in part because most studies were retrospective and not adequately powered, making their findings unsuitable for choosing treatments for individual patients. Gene microarrays have been successfuly used to classify breast cancers into subtypes with specific gene expression profiles and to evaluate prognosis. RT-PCR has also been used to evaluate expression of multiple genes in archival tissue. Proteomics technologies are in development

  18. Metaplastic Breast Cancer and EGFR Expression

    Directory of Open Access Journals (Sweden)

    Nilufer Avci

    2014-03-01

    Full Text Available Aim: Metaplastic breast cancer has poor prognosis and is usually triple negative. Although it is morphologically more heterogeneous than triple negative breast cancers, expression profile is more homogeneous. In this study, we investigated our metaplastic breast cancer cases regarding their pathology and clinical characteristics. Material and Method: 16 metaplastic breast cancer cases from four different center were included in the study. Pathology and clinical characteristics of the cases were evaluated retrospectively. Results: All the cases are female and median age is 48 (39-45. Tumor is commonly localized to the outer quadrant and mean diameter of the mass is 37.5 (15-100 mm. Tumor diameter is ≤20 mm in 3 (15.8%, >20-≤50 mm in 11 (57.9% and >50 mm in 3 (10.51% of the cases. Only 4 (16.1% patients have axillary lymph node involvement. When considering histological subtypes, five of the cases has squamous cell, five of them has spindle cell, one of them has mucoepidermoid, and in five cases the subtype was not identified. Considering hormone receptor status ER and PR was negative in 78.9%, 63.2% respectively. HER2 protein expression was positive by immunohistochemical staining in 1 (5.3% case. CK5/6 and CK17 was both positive in 7 (36.8% cases. EGFR expression was positive in 4 (21.1% cases, was negative in 5 (26.3% cases and not identified in 7 (36.8% cases. Three of the cases were offered neoadjuvant chemotherapy. As neoadjuvant chemotherapy, anthracycline and taxane combination (n:2 TAC, n:1 AC-paclitaxel was preferred. Mean follow-up was 41 months. Mean survival was 42.4 months in EGFR negative patients and 47.5 months in EGFR positive patients. This difference was not statistically significant. During follow-up 3 cases had recurrence. Discussion: EGFR expression is seen in metaplastic breast cancer. Although EGFR expression is related to poor prognosis, it is not a predictive marker. Therefore, predictive molecular markers are

  19. A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers

    NARCIS (Netherlands)

    Berger, Ashton C.; Korkut, Anil; Kanchi, Rupa S.; Hegde, Apurva M.; Lenoir, Walter; Liu, Wenbin; Liu, Yuexin; Fan, Huihui; Shen, Hui; Ravikumar, Visweswaran; Rao, Arvind; Schultz, Andre; Li, Xubin; Sumazin, Pavel; Williams, Cecilia; Mestdagh, Pieter; Gunaratne, Preethi H.; Yau, Christina; Bowlby, Reanne; Robertson, A. Gordon; Tiezzi, Daniel G.; Wang, Chen; Cherniack, Andrew D.; Godwin, Andrew K.; Kuderer, Nicole M.; Rader, Janet S.; Zuna, Rosemary E.; Sood, Anil K.; Lazar, Alexander J.; Ojesina, Akinyemi I.; Adebamowo, Clement; Adebamowo, Sally N.; Baggerly, Keith A.; Chen, Ting Wen; Chiu, Hua Sheng; Lefever, Steve; Liu, Liang; MacKenzie, Karen; Orsulic, Sandra; Roszik, Jason; Shelley, Carl Simon; Song, Qianqian; Vellano, Christopher P.; Wentzensen, Nicolas; Caesar-Johnson, Samantha J.; Demchok, John A.; Felau, Ina; Kasapi, Melpomeni; Ferguson, Martin L.; Hutter, Carolyn M.; Sofia, Heidi J.; Tarnuzzer, Roy; Wang, Zhining; Yang, Liming; Zenklusen, Jean C.; Zhang, Jiashan (Julia); Chudamani, Sudha; Liu, Jia; Lolla, Laxmi; Naresh, Rashi; Pihl, Todd; Sun, Qiang; Wan, Yunhu; Wu, Ye; Cho, Juok; DeFreitas, Timothy; Frazer, Scott; Gehlenborg, Nils; Getz, Gad; Heiman, David I.; Kim, Jaegil; Lawrence, Michael S.; Lin, Pei; Meier, Sam; Noble, Michael S.; Saksena, Gordon; Voet, Doug; Zhang, Hailei; Bernard, Brady; Chambwe, Nyasha; Dhankani, Varsha; Knijnenburg, Theo; Kramer, Roger; Leinonen, Kalle; Liu, Yuexin; Miller, Michael; Reynolds, Sheila; Shmulevich, Ilya; Thorsson, Vesteinn; Zhang, Wei; Akbani, Rehan; Broom, Bradley M.; Hegde, Apurva M.; Ju, Zhenlin; Kanchi, Rupa S.; Korkut, Anil; Li, Jun; Liang, Han; Ling, Shiyun; Liu, Wenbin; Lu, Yiling; Mills, Gordon B.; Ng, Kwok Shing; Rao, Arvind; Ryan, Michael; Wang, Jing; Weinstein, John N.; Zhang, Jiexin; Abeshouse, Adam; Armenia, Joshua; Chakravarty, Debyani; Chatila, Walid K.; de Bruijn, Ino; Gao, Jianjiong; Gross, Benjamin E.; Heins, Zachary J.; Kundra, Ritika; La, Konnor; Ladanyi, Marc; Luna, Augustin; Nissan, Moriah G.; Ochoa, Angelica; Phillips, Sarah M.; Reznik, Ed; Sanchez-Vega, Francisco; Sander, Chris; Schultz, Nikolaus; Sheridan, Robert; Sumer, S. Onur; Sun, Yichao; Taylor, Barry S.; Wang, Jioajiao; Zhang, Hongxin; Anur, Pavana; Peto, Myron; Spellman, Paul; Benz, Christopher; Stuart, Joshua M.; Wong, Christopher K.; Yau, Christina; Hayes, D. Neil; Parker, Joel S.; Wilkerson, Matthew D.; Ally, Adrian; Balasundaram, Miruna; Bowlby, Reanne; Brooks, Denise; Carlsen, Rebecca; Chuah, Eric; Dhalla, Noreen; Holt, Robert; Jones, Steven J.M.; Kasaian, Katayoon; Lee, Darlene; Ma, Yussanne; Marra, Marco A.; Mayo, Michael; Moore, Richard A.; Mungall, Andrew J.; Mungall, Karen; Robertson, A. Gordon; Sadeghi, Sara; Schein, Jacqueline E.; Sipahimalani, Payal; Tam, Angela; Thiessen, Nina; Tse, Kane; Wong, Tina; Berger, Ashton C.; Beroukhim, Rameen; Cherniack, Andrew D.; Cibulskis, Carrie; Gabriel, Stacey B.; Gao, Galen F.; Ha, Gavin; Meyerson, Matthew; Schumacher, Steven E.; Shih, Juliann; Kucherlapati, Melanie H.; Kucherlapati, Raju S.; Baylin, Stephen; Cope, Leslie; Danilova, Ludmila; Bootwalla, Moiz S.; Lai, Phillip H.; Maglinte, Dennis T.; Van Den Berg, David J.; Weisenberger, Daniel J.; Auman, J. Todd; Balu, Saianand; Bodenheimer, Tom; Fan, Cheng; Hoadley, Katherine A.; Hoyle, Alan P.; Jefferys, Stuart R.; Jones, Corbin D.; Meng, Shaowu; Mieczkowski, Piotr A.; Mose, Lisle E.; Perou, Amy H.; Perou, Charles M.; Roach, Jeffrey; Shi, Yan; Simons, Janae V.; Skelly, Tara; Soloway, Matthew G.; Tan, Donghui; Veluvolu, Umadevi; Fan, Huihui; Hinoue, Toshinori; Laird, Peter W.; Shen, Hui; Zhou, Wanding; Bellair, Michelle; Chang, Kyle; Covington, Kyle; Creighton, Chad J.; Dinh, Huyen; Doddapaneni, Harsha Vardhan; Donehower, Lawrence A.; Drummond, Jennifer; Gibbs, Richard A.; Glenn, Robert; Hale, Walker; Han, Yi; Hu, Jianhong; Korchina, Viktoriya; Lee, Sandra; Lewis, Lora; Li, Wei; Liu, Xiuping; Morgan, Margaret; Morton, Donna; Muzny, Donna; Santibanez, Jireh; Sheth, Margi; Shinbrot, Eve; Wang, Linghua; Wang, Min; Wheeler, David A.; Xi, Liu; Zhao, Fengmei; Hess, Julian; Appelbaum, Elizabeth L.; Bailey, Matthew; Cordes, Matthew G.; Ding, Li; Fronick, Catrina C.; Fulton, Lucinda A.; Fulton, Robert S.; Kandoth, Cyriac; Mardis, Elaine R.; McLellan, Michael D.; Miller, Christopher A.; Schmidt, Heather K.; Wilson, Richard K.; Crain, Daniel; Curley, Erin; Gardner, Johanna; Lau, Kevin; Mallery, David; Morris, Scott; Paulauskis, Joseph; Penny, Robert; Shelton, Candace; Shelton, Troy; Sherman, Mark; Thompson, Eric; Yena, Peggy; Bowen, Jay; Gastier-Foster, Julie M.; Gerken, Mark; Leraas, Kristen M.; Lichtenberg, Tara M.; Ramirez, Nilsa C.; Wise, Lisa; Zmuda, Erik; Corcoran, Niall; Costello, Tony; Hovens, Christopher; Carvalho, Andre L.; de Carvalho, Ana C.; Fregnani, José H.; Longatto-Filho, Adhemar; Reis, Rui M.; Scapulatempo-Neto, Cristovam; Silveira, Henrique C.S.; Vidal, Daniel O.; Burnette, Andrew; Eschbacher, Jennifer; Hermes, Beth; Noss, Ardene; Singh, Rosy; Anderson, Matthew L.; Castro, Patricia D.; Ittmann, Michael; Huntsman, David; Kohl, Bernard; Le, Xuan; Thorp, Richard; Andry, Chris; Duffy, Elizabeth R.; Lyadov, Vladimir; Paklina, Oxana; Setdikova, Galiya; Shabunin, Alexey; Tavobilov, Mikhail; McPherson, Christopher; Warnick, Ronald; Berkowitz, Ross; Cramer, Daniel; Feltmate, Colleen; Horowitz, Neil; Kibel, Adam; Muto, Michael; Raut, Chandrajit P.; Malykh, Andrei; Barnholtz-Sloan, Jill S.; Barrett, Wendi; Devine, Karen; Fulop, Jordonna; Ostrom, Quinn T.; Shimmel, Kristen; Wolinsky, Yingli; Sloan, Andrew E.; De Rose, Agostino; Giuliante, Felice; Goodman, Marc; Karlan, Beth Y.; Hagedorn, Curt H.; Eckman, John; Harr, Jodi; Myers, Jerome; Tucker, Kelinda; Zach, Leigh Anne; Deyarmin, Brenda; Hu, Hai; Kvecher, Leonid; Larson, Caroline; Mural, Richard J.; Somiari, Stella; Vicha, Ales; Zelinka, Tomas; Bennett, Joseph; Iacocca, Mary; Rabeno, Brenda; Swanson, Patricia; Latour, Mathieu; Lacombe, Louis; Têtu, Bernard; Bergeron, Alain; McGraw, Mary; Staugaitis, Susan M.; Chabot, John; Hibshoosh, Hanina; Sepulveda, Antonia; Su, Tao; Wang, Timothy; Potapova, Olga; Voronina, Olga; Desjardins, Laurence; Mariani, Odette; Roman-Roman, Sergio; Sastre, Xavier; Stern, Marc Henri; Cheng, Feixiong; Signoretti, Sabina; Berchuck, Andrew; Bigner, Darell; Lipp, Eric; Marks, Jeffrey; McCall, Shannon; McLendon, Roger; Secord, Angeles; Sharp, Alexis; Behera, Madhusmita; Brat, Daniel J.; Chen, Amy; Delman, Keith; Force, Seth; Khuri, Fadlo; Magliocca, Kelly; Maithel, Shishir; Olson, Jeffrey J.; Owonikoko, Taofeek; Pickens, Alan; Ramalingam, Suresh; Shin, Dong M.; Sica, Gabriel; Van Meir, Erwin G.; Zhang, Hongzheng; Eijckenboom, Wil; Gillis, Ad; Korpershoek, Esther; Looijenga, Leendert; Oosterhuis, Wolter; Stoop, Hans; van Kessel, Kim E.; Zwarthoff, Ellen C.; Calatozzolo, Chiara; Cuppini, Lucia; Cuzzubbo, Stefania; DiMeco, Francesco; Finocchiaro, Gaetano; Mattei, Luca; Perin, Alessandro; Pollo, Bianca; Chen, Chu; Houck, John; Lohavanichbutr, Pawadee; Hartmann, Arndt; Stoehr, Christine; Stoehr, Robert; Taubert, Helge; Wach, Sven; Wullich, Bernd; Kycler, Witold; Murawa, Dawid; Wiznerowicz, Maciej; Chung, Ki; Edenfield, W. Jeffrey; Martin, Julie; Baudin, Eric; Bubley, Glenn; Bueno, Raphael; De Rienzo, Assunta; Richards, William G.; Kalkanis, Steven; Mikkelsen, Tom; Noushmehr, Houtan; Scarpace, Lisa; Girard, Nicolas; Aymerich, Marta; Campo, Elias; Giné, Eva; Guillermo, Armando López; Van Bang, Nguyen; Hanh, Phan Thi; Phu, Bui Duc; Tang, Yufang; Colman, Howard; Evason, Kimberley; Dottino, Peter R.; Martignetti, John A.; Gabra, Hani; Juhl, Hartmut; Akeredolu, Teniola; Stepa, Serghei; Hoon, Dave; Ahn, Keunsoo; Kang, Koo Jeong; Beuschlein, Felix; Breggia, Anne; Birrer, Michael; Bell, Debra; Borad, Mitesh; Bryce, Alan H.; Castle, Erik; Chandan, Vishal; Cheville, John; Copland, John A.; Farnell, Michael; Flotte, Thomas; Giama, Nasra; Ho, Thai; Kendrick, Michael; Kocher, Jean Pierre; Kopp, Karla; Moser, Catherine; Nagorney, David; O'Brien, Daniel; O'Neill, Brian Patrick; Patel, Tushar; Petersen, Gloria; Que, Florencia; Rivera, Michael; Roberts, Lewis; Smallridge, Robert; Smyrk, Thomas; Stanton, Melissa; Thompson, R. Houston; Torbenson, Michael; Yang, Ju Dong; Zhang, Lizhi; Brimo, Fadi; Ajani, Jaffer A.; Angulo Gonzalez, Ana Maria; Behrens, Carmen; Bondaruk, Jolanta; Broaddus, Russell; Czerniak, Bogdan; Esmaeli, Bita; Fujimoto, Junya; Gershenwald, Jeffrey; Guo, Charles; Lazar, Alexander J.; Logothetis, Christopher; Meric-Bernstam, Funda; Moran, Cesar; Ramondetta, Lois; Rice, David; Sood, Anil; Tamboli, Pheroze; Thompson, Timothy; Troncoso, Patricia; Tsao, Anne; Wistuba, Ignacio; Carter, Candace; Haydu, Lauren; Hersey, Peter; Jakrot, Valerie; Kakavand, Hojabr; Kefford, Richard; Lee, Kenneth; Long, Georgina; Mann, Graham; Quinn, Michael; Saw, Robyn; Scolyer, Richard; Shannon, Kerwin; Spillane, Andrew; Stretch, Jonathan; Synott, Maria; Thompson, John; Wilmott, James; Al-Ahmadie, Hikmat; Chan, Timothy A.; Ghossein, Ronald; Gopalan, Anuradha; Levine, Douglas A.; Reuter, Victor; Singer, Samuel; Singh, Bhuvanesh; Tien, Nguyen Viet; Broudy, Thomas; Mirsaidi, Cyrus; Nair, Praveen; Drwiega, Paul; Miller, Judy; Smith, Jennifer; Zaren, Howard; Park, Joong Won; Hung, Nguyen Phi; Kebebew, Electron; Linehan, W. Marston; Metwalli, Adam R.; Pacak, Karel; Pinto, Peter A.; Schiffman, Mark; Schmidt, Laura S.; Vocke, Cathy D.; Wentzensen, Nicolas; Worrell, Robert; Yang, Hannah; Moncrieff, Marc; Goparaju, Chandra; Melamed, Jonathan; Pass, Harvey; Botnariuc, Natalia; Caraman, Irina; Cernat, Mircea; Chemencedji, Inga; Clipca, Adrian; Doruc, Serghei; Gorincioi, Ghenadie; Mura, Sergiu; Pirtac, Maria; Stancul, Irina; Tcaciuc, Diana; Albert, Monique; Alexopoulou, Iakovina; Arnaout, Angel; Bartlett, John; Engel, Jay; Gilbert, Sebastien; Parfitt, Jeremy; Sekhon, Harman; Thomas, George; Rassl, Doris M.; Rintoul, Robert C.; Bifulco, Carlo; Tamakawa, Raina; Urba, Walter; Hayward, Nicholas; Timmers, Henri; Antenucci, Anna; Facciolo, Francesco; Grazi, Gianluca; Marino, Mirella; Merola, Roberta; de Krijger, Ronald; Gimenez-Roqueplo, Anne Paule; Piché, Alain; Chevalier, Simone; McKercher, Ginette; Birsoy, Kivanc; Barnett, Gene; Brewer, Cathy; Farver, Carol; Naska, Theresa; Pennell, Nathan A.; Raymond, Daniel; Schilero, Cathy; Smolenski, Kathy; Williams, Felicia; Morrison, Carl; Borgia, Jeffrey A.; Liptay, Michael J.; Pool, Mark; Seder, Christopher W.; Junker, Kerstin; Omberg, Larsson; Dinkin, Mikhail; Manikhas, George; Alvaro, Domenico; Bragazzi, Maria Consiglia; Cardinale, Vincenzo; Carpino, Guido; Gaudio, Eugenio; Chesla, David; Cottingham, Sandra; Dubina, Michael; Moiseenko, Fedor; Dhanasekaran, Renumathy; Becker, Karl Friedrich; Janssen, Klaus Peter; Slotta-Huspenina, Julia; Abdel-Rahman, Mohamed H.; Aziz, Dina; Bell, Sue; Cebulla, Colleen M.; Davis, Amy; Duell, Rebecca; Elder, J. Bradley; Hilty, Joe; Kumar, Bahavna; Lang, James; Lehman, Norman L.; Mandt, Randy; Nguyen, Phuong; Pilarski, Robert; Rai, Karan; Schoenfield, Lynn; Senecal, Kelly; Wakely, Paul; Hansen, Paul; Lechan, Ronald; Powers, James; Tischler, Arthur; Grizzle, William E.; Sexton, Katherine C.; Kastl, Alison; Henderson, Joel; Porten, Sima; Waldmann, Jens; Fassnacht, Martin; Asa, Sylvia L.; Schadendorf, Dirk; Couce, Marta; Graefen, Markus; Huland, Hartwig; Sauter, Guido; Schlomm, Thorsten; Simon, Ronald; Tennstedt, Pierre; Olabode, Oluwole; Nelson, Mark; Bathe, Oliver; Carroll, Peter R.; Chan, June M.; Disaia, Philip; Glenn, Pat; Kelley, Robin K.; Landen, Charles N.; Phillips, Joanna; Prados, Michael; Simko, Jeffry; Smith-McCune, Karen; VandenBerg, Scott; Roggin, Kevin; Fehrenbach, Ashley; Kendler, Ady; Sifri, Suzanne; Steele, Ruth; Jimeno, Antonio; Carey, Francis; Forgie, Ian; Mannelli, Massimo; Carney, Michael; Hernandez, Brenda; Campos, Benito; Herold-Mende, Christel; Jungk, Christin; Unterberg, Andreas; von Deimling, Andreas; Bossler, Aaron; Galbraith, Joseph; Jacobus, Laura; Knudson, Michael; Knutson, Tina; Ma, Deqin; Milhem, Mohammed; Sigmund, Rita; Godwin, Andrew K.; Madan, Rashna; Rosenthal, Howard G.; Adebamowo, Clement; Adebamowo, Sally N.; Boussioutas, Alex; Beer, David; Giordano, Thomas; Mes-Masson, Anne Marie; Saad, Fred; Bocklage, Therese; Landrum, Lisa; Mannel, Robert; Moore, Kathleen; Moxley, Katherine; Postier, Russel; Walker, Joan; Zuna, Rosemary; Feldman, Michael; Valdivieso, Federico; Dhir, Rajiv; Luketich, James; Mora Pinero, Edna M.; Quintero-Aguilo, Mario; Carlotti, Carlos Gilberto; Dos Santos, Jose Sebastião; Kemp, Rafael; Sankarankuty, Ajith; Tirapelli, Daniela; Catto, James; Agnew, Kathy; Swisher, Elizabeth; Creaney, Jenette; Robinson, Bruce; Shelley, Carl Simon; Godwin, Eryn M.; Kendall, Sara; Shipman, Cassaundra; Bradford, Carol; Carey, Thomas; Haddad, Andrea; Moyer, Jeffey; Peterson, Lisa; Prince, Mark; Rozek, Laura; Wolf, Gregory; Bowman, Rayleen; Fong, Kwun M.; Yang, Ian; Korst, Robert; Rathmell, W. Kimryn; Fantacone-Campbell, J. Leigh; Hooke, Jeffrey A.; Kovatich, Albert J.; Shriver, Craig D.; DiPersio, John; Drake, Bettina; Govindan, Ramaswamy; Heath, Sharon; Ley, Timothy; Van Tine, Brian; Westervelt, Peter; Rubin, Mark A.; Lee, Jung Il; Aredes, Natália D.; Mariamidze, Armaz; Weinstein, John N.; Mills, Gordon B.; Levine, Douglas A.; Akbani, Rehan

    2018-01-01

    We analyzed molecular data on 2,579 tumors from The Cancer Genome Atlas (TCGA) of four gynecological types plus breast. Our aims were to identify shared and unique molecular features, clinically significant subtypes, and potential therapeutic targets. We found 61 somatic copy-number alterations

  20. The Effect of Simvastatin on Breast Cancer Cell Growth in Women With Stage I-II Breast Cancer

    Science.gov (United States)

    2018-03-02

    Invasive Breast Carcinoma; Stage I Breast Cancer AJCC v7; Stage IA Breast Cancer AJCC v7; Stage IB Breast Cancer AJCC v7; Stage II Breast Cancer AJCC v6 and v7; Stage IIA Breast Cancer AJCC v6 and v7; Stage IIB Breast Cancer AJCC v6 and v7

  1. Metastasis of breast cancer rectum

    International Nuclear Information System (INIS)

    Suárez, L.; Santander, G.

    2004-01-01

    Introduction: Metastases to the breast are rare, corresponding approximately to 3% of breast cancers. Primary tumors that spread more commonly are own breast, often following them in melanomas, neuroendocrine, ovarian and lymphoma. Medical history: A 59-year consultation rectoragias repeated and thinning. It is studied and finally intervenes (low anterior resection) diagnosed with rectal cancer whose Histopathology revealed a poorly differentiated adenocarcinoma stage III. Concomitantly the patient has a left breast lump that was studied with mammography, which revealed a dense mass of larger diameter 4 cm in topografiada 3 hour left breast with well defined contours and ultrasonographic structure solid. MI lumpectomy is performed whose pathology reports a poorly differentiated adenocarcinoma with cytoarchitectural features matching the lesion of rectum. Hormone receptors were negative. The patient is treated as a rectal cancer with RT spread over QT (5FU i /c). Died 7 months after diagnosis. Discusion: In literature are reported only 3 cases of breast metastases secondary to rectal cancer; how unusual this presentation justify this report.In this event they occurred in patients with a previous diagnosis of rectal cancer and in the context of systemic lesion progression. In our case clinician early diagnosis of rectal and breast metastases was synchronous. The mammographic image consistent with those described for these cases in the literature.The development of metastases in breast tissue is associated with a poor prognosis as which correlates with the survival of the patient

  2. Theranostics Targeting Metastatic Breast Cancer

    Science.gov (United States)

    2017-10-01

    AWARD NUMBER: W81XWH-15-1-0390 TITLE: Theranostics Targeting Metastatic Breast Cancer PRINCIPAL INVESTIGATOR: Zheng Li CONTRACTING ORGANIZATION...Breast Cancer 5b. GRANT NUMBER W81XWH-15-1-0390 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER Zheng Li 5e. TASK NUMBER 5f. WORK UNIT...14 Theranostics Targeting Metastatic Breast  Cancer   A. Introduction (1paragraph) The overall goal of this proposal is to prepare TrkC

  3. Axillary Lymph Nodes and Breast Cancer

    Science.gov (United States)

    ... white blood cells that help fight illness. If breast cancer spreads, the lymph nodes in the underarm (called ... if they contain cancer cells. This helps determine breast cancer stage and guide treatment. Sentinel node biopsy and ...

  4. Summer Student Breast Cancer Research Training Program

    National Research Council Canada - National Science Library

    Zaloga, Gary P

    2005-01-01

    ... projects addressed the effects of omega-3 lipids upon breast cancer cells. 0mega-3 lipids were found to decrease breast cancer-induced muscle cell proteolysis and to induce apoptosis in cancer cells...

  5. Breast Cancer Chemotherapy and Your Heart

    Science.gov (United States)

    ... of the American Heart Association Cardiology Patient Page Breast Cancer Chemotherapy and Your Heart Christine Unitt , Kamaneh Montazeri , ... Disclosures Footnotes Figures & Tables Info & Metrics eLetters Introduction Breast cancer is the most commonly diagnosed cancer in women. ...

  6. National Native American Breast Cancer Survivor's Network

    National Research Council Canada - National Science Library

    Burhansstipanov, Linda

    2002-01-01

    .... The purpose of this project is to improve the survival from breast cancer and quality of life after being diagnosed with breast cancer for both the patient and loved ones of the cancer patient...

  7. National Native American Breast Cancer Survivor's Network

    National Research Council Canada - National Science Library

    Burhansstipanov, Linda

    2003-01-01

    .... The purpose of this project is to improve the survival from breast cancer and quality of life after being diagnosed with breast cancer for both the patient and loved ones of the cancer patient...

  8. Association between endometriosis and risk of histological subtypes of ovarian cancer

    DEFF Research Database (Denmark)

    Pearce, Celeste Leigh; Templeman, Claire; Rossing, Mary Anne

    2012-01-01

    Endometriosis is a risk factor for epithelial ovarian cancer; however, whether this risk extends to all invasive histological subtypes or borderline tumours is not clear. We undertook an international collaborative study to assess the association between endometriosis and histological subtypes...

  9. Breast cancer cell lines: friend or foe?

    International Nuclear Information System (INIS)

    Burdall, Sarah E; Hanby, Andrew M; Lansdown, Mark RJ; Speirs, Valerie

    2003-01-01

    The majority of breast cancer research is conducted using established breast cancer cell lines as in vitro models. An alternative is to use cultures established from primary breast tumours. Here, we discuss the pros and cons of using both of these models in translational breast cancer research

  10. Mammographic detection of breast cancer

    International Nuclear Information System (INIS)

    Homer, M.J.

    1982-01-01

    Mammography, whether film or xerography, is a complementary examination to breast palpation in the detection of breast cancer. According to the guidelines of the American Cancer Society, mammography should be performed on every asymptomatic woman, at least once, over the age of 35. Annual mammography after 50 is also advised. The radiation dose to the breast from current equipment is so low as to not be considered a factor in denying a woman this screening examination. Mammography has a role in evaluating the woman with solitary and multiple breast masses. It is the only proved reliable modality able to detect nonpalpable breast cancers and small tumors less than 2 cm in size. All nonpalpable lesions should be excised by directed biopsy, using a preoperative localization technique

  11. Awareness of Breast Cancer and Practice of Breast Self ...

    African Journals Online (AJOL)

    Background and Objective: Breast cancer is the commonest cancer among women in globally and in Nigeria. In Nigeria, cases of breast cancer cases have been prevalent for three decades and more than 90% of cases can be detected by women themselves through breast self – examination. The objective of this study ...

  12. Radiofrequency Tagged Surgery in Treating Patients With Breast Cancer

    Science.gov (United States)

    2018-06-18

    Positive Axillary Lymph Node; Stage 0 Breast Cancer AJCC v6 and v7; Stage I Breast Cancer AJCC v7; Stage IA Breast Cancer AJCC v7; Stage IB Breast Cancer AJCC v7; Stage II Breast Cancer AJCC v6 and v7; Stage IIA Breast Cancer AJCC v6 and v7; Stage IIB Breast Cancer AJCC v6 and v7; Stage III Breast Cancer AJCC v7; Stage IIIA Breast