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Sample records for network breast cancer

  1. Using Neural Networks in Diagnosing Breast Cancer

    National Research Council Canada - National Science Library

    Fogel, David

    1997-01-01

    .... In the current study, evolutionary programming is used to train neural networks and linear discriminant models to detect breast cancer in suspicious and microcalcifications using radiographic features and patient age...

  2. A Comprehensive Nuclear Receptor Network for Breast Cancer Cells

    Directory of Open Access Journals (Sweden)

    Ralf Kittler

    2013-02-01

    Full Text Available In breast cancer, nuclear receptors (NRs play a prominent role in governing gene expression, have prognostic utility, and are therapeutic targets. We built a regulatory map for 24 NRs, six chromatin state markers, and 14 breast-cancer-associated transcription factors (TFs that are expressed in the breast cancer cell line MCF-7. The resulting network reveals a highly interconnected regulatory matrix where extensive crosstalk occurs among NRs and other breast -cancer-associated TFs. We show that large numbers of factors are coordinately bound to highly occupied target regions throughout the genome, and these regions are associated with active chromatin state and hormone-responsive gene expression. This network also provides a framework for stratifying and predicting patient outcomes, and we use it to show that the peroxisome proliferator-activated receptor delta binds to a set of genes also regulated by the retinoic acid receptors and whose expression is associated with poor prognosis in breast cancer.

  3. Network modeling links breast cancer susceptibility and centrosome dysfunction.

    Science.gov (United States)

    Pujana, Miguel Angel; Han, Jing-Dong J; Starita, Lea M; Stevens, Kristen N; Tewari, Muneesh; Ahn, Jin Sook; Rennert, Gad; Moreno, Víctor; Kirchhoff, Tomas; Gold, Bert; Assmann, Volker; Elshamy, Wael M; Rual, Jean-François; Levine, Douglas; Rozek, Laura S; Gelman, Rebecca S; Gunsalus, Kristin C; Greenberg, Roger A; Sobhian, Bijan; Bertin, Nicolas; Venkatesan, Kavitha; Ayivi-Guedehoussou, Nono; Solé, Xavier; Hernández, Pilar; Lázaro, Conxi; Nathanson, Katherine L; Weber, Barbara L; Cusick, Michael E; Hill, David E; Offit, Kenneth; Livingston, David M; Gruber, Stephen B; Parvin, Jeffrey D; Vidal, Marc

    2007-11-01

    Many cancer-associated genes remain to be identified to clarify the underlying molecular mechanisms of cancer susceptibility and progression. Better understanding is also required of how mutations in cancer genes affect their products in the context of complex cellular networks. Here we have used a network modeling strategy to identify genes potentially associated with higher risk of breast cancer. Starting with four known genes encoding tumor suppressors of breast cancer, we combined gene expression profiling with functional genomic and proteomic (or 'omic') data from various species to generate a network containing 118 genes linked by 866 potential functional associations. This network shows higher connectivity than expected by chance, suggesting that its components function in biologically related pathways. One of the components of the network is HMMR, encoding a centrosome subunit, for which we demonstrate previously unknown functional associations with the breast cancer-associated gene BRCA1. Two case-control studies of incident breast cancer indicate that the HMMR locus is associated with higher risk of breast cancer in humans. Our network modeling strategy should be useful for the discovery of additional cancer-associated genes.

  4. Social networks and survival after breast cancer diagnosis.

    Science.gov (United States)

    Beasley, Jeannette M; Newcomb, Polly A; Trentham-Dietz, Amy; Hampton, John M; Ceballos, Rachel M; Titus-Ernstoff, Linda; Egan, Kathleen M; Holmes, Michelle D

    2010-12-01

    Evidence has been inconsistent regarding the impact of social networks on survival after breast cancer diagnosis. We prospectively examined the relation between components of social integration and survival in a large cohort of breast cancer survivors. Women (N=4,589) diagnosed with invasive breast cancer were recruited from a population-based, multi-center, case-control study. A median of 5.6 years (Interquartile Range 2.7-8.7) after breast cancer diagnosis, women completed a questionnaire on recent post-diagnosis social networks and other lifestyle factors. Social networks were measured using components of the Berkman-Syme Social Networks Index to create a measure of social connectedness. Based on a search of the National Death Index, 552 deaths (146 related to breast cancer) were identified. Adjusted hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox proportional hazards regression. Higher scores on a composite measure of social connectedness as determined by the frequency of contacts with family and friends, attendance of religious services, and participation in community activities was associated with a 15-28% reduced risk of death from any cause (p-trend=0.02). Inverse trends were observed between all-cause mortality and frequency of attendance at religious services (p-trend=0.0001) and hours per week engaged in community activities (p-trend=0.0005). No material associations were identified between social networks and breast cancer-specific mortality. Engagement in activities outside the home was associated with lower overall mortality after breast cancer diagnosis.

  5. Postdiagnosis social networks and breast cancer mortality in the After Breast Cancer Pooling Project.

    Science.gov (United States)

    Kroenke, Candyce H; Michael, Yvonne L; Poole, Elizabeth M; Kwan, Marilyn L; Nechuta, Sarah; Leas, Eric; Caan, Bette J; Pierce, John; Shu, Xiao-Ou; Zheng, Ying; Chen, Wendy Y

    2017-04-01

    Large social networks have been associated with better overall survival, though not consistently with breast cancer (BC)-specific outcomes. This study evaluated associations of postdiagnosis social networks and BC outcomes in a large cohort. Women from the After Breast Cancer Pooling Project (n = 9267) provided data on social networks within approximately 2 years of their diagnosis. A social network index was derived from information about the presence of a spouse/partner, religious ties, community ties, friendship ties, and numbers of living first-degree relatives. Cox models were used to evaluate associations, and a meta-analysis was used to determine whether effect estimates differed by cohort. Stratification by demographic, social, tumor, and treatment factors was performed. There were 1448 recurrences and 1521 deaths (990 due to BC). Associations were similar in 3 of 4 cohorts. After covariate adjustments, socially isolated women (small networks) had higher risks of recurrence (hazard ratio [HR], 1.43; 95% confidence interval [CI], 1.15-1.77), BC-specific mortality (HR, 1.64; 95% CI, 1.33-2.03), and total mortality (HR, 1.69; 95% CI, 1.43-1.99) than socially integrated women; associations were stronger in those with stage I/II cancer. In the fourth cohort, there were no significant associations with BC-specific outcomes. A lack of a spouse/partner (P = .02) and community ties (P = .04) predicted higher BC-specific mortality in older white women but not in other women. However, a lack of relatives (P = .02) and friendship ties (P = .01) predicted higher BC-specific mortality in nonwhite women only. In a large pooled cohort, larger social networks were associated with better BC-specific and overall survival. Clinicians should assess social network information as a marker of prognosis because critical supports may differ with sociodemographic factors. Cancer 2017;123:1228-1237. © 2016 American Cancer Society. © 2016 American Cancer Society.

  6. Establishment of the Fox Chase Network Breast Cancer Risk Registry.

    Science.gov (United States)

    1995-10-01

    Thompson, W.D. Autosomal Dominant Inheritance of Early-Onset Breast Cancer. Cancer, 73(3):643-651, 2/1/94. Ezzell, Carol . Breast Cancer Genes: Cloning...Promotion and Risk Prevention: Applications for Cancer Survivors. 0 N F 16(3):335-340, 1989. Van Riper, Marcia, Pridham, K., and Ryff , C. Symbolic

  7. Prediction of breast cancer using artificial neural networks.

    Science.gov (United States)

    Saritas, Ismail

    2012-10-01

    In this study, an artificial neural network (ANN) was developed to determine whether patients have breast cancer or not. Whether patients have cancer or not and if they have its type can be determined by using ANN and BI-RADS evaluation and based on the age of the patient, mass shape, mass border and mass density. Though this system cannot diagnose cancer conclusively, it helps physicians in deciding whether a biopsy is required by providing information about whether the patient has breast cancer or not. Data obtained from 800 patients who were diagnosed with cancer definitively through biopsy. The definitive diagnosis corresponding to each patient and the data from ANN model results were investigated using Confusion matrix and ROC analyses. In the test data of the ANN model that was implemented as a result of these analyses, disease prediction rate was 90.5% and the health ratio was 80.9%. It is seen from these high predictive values that the ANN model is fast, reliable and without any risks and therefore can be of great help to physicians.

  8. MicroRNA Networks in Breast Cancer Cells.

    Science.gov (United States)

    Tahiri, Andliena; Aure, Miriam R; Kristensen, Vessela N

    2018-01-01

    A variety of molecular techniques can be used in order to unravel the molecular composition of cells. In particular, the microarray technology has been used to identify novel biomarkers that may be useful in the diagnosis, prognosis, or treatment of cancer. The microarray technology is ideal for biomarker discovery as it allows for the screening of a large number of molecules at once. In this review, we focus on microRNAs (miRNAs) which are key molecules in cells and regulate gene expression post-transcriptionally. miRNAs are small, single-stranded RNA molecules that bind to complementary mRNAs. Binding of miRNAs to mRNAs leads either to degradation, or translational inhibition of the target mRNA. Roughly one third of all the mRNAs are postulated to be regulated by miRNAs. miRNAs are known to be deregulated in different types of cancer, including breast cancer, and it has been demonstrated that deregulation of several miRNAs can be used as biological markers in cancer. miRNA expression can for example discriminate between normal, benign and malignant breast tissue, and between different breast cancer subtypes.In the post-genomic era, an important task of molecular biology is to understand gene regulation in the context of biological networks. Because miRNAs have such a pronounced role in cells, it is pivotal to understand the mechanisms that underlie their control, and to identify how miRNAs influence cancer development and progression.

  9. Classification of breast cancer histology images using Convolutional Neural Networks.

    Directory of Open Access Journals (Sweden)

    Teresa Araújo

    Full Text Available Breast cancer is one of the main causes of cancer death worldwide. The diagnosis of biopsy tissue with hematoxylin and eosin stained images is non-trivial and specialists often disagree on the final diagnosis. Computer-aided Diagnosis systems contribute to reduce the cost and increase the efficiency of this process. Conventional classification approaches rely on feature extraction methods designed for a specific problem based on field-knowledge. To overcome the many difficulties of the feature-based approaches, deep learning methods are becoming important alternatives. A method for the classification of hematoxylin and eosin stained breast biopsy images using Convolutional Neural Networks (CNNs is proposed. Images are classified in four classes, normal tissue, benign lesion, in situ carcinoma and invasive carcinoma, and in two classes, carcinoma and non-carcinoma. The architecture of the network is designed to retrieve information at different scales, including both nuclei and overall tissue organization. This design allows the extension of the proposed system to whole-slide histology images. The features extracted by the CNN are also used for training a Support Vector Machine classifier. Accuracies of 77.8% for four class and 83.3% for carcinoma/non-carcinoma are achieved. The sensitivity of our method for cancer cases is 95.6%.

  10. Network analysis of breast cancer progression and reversal using a tree-evolving network algorithm.

    Directory of Open Access Journals (Sweden)

    Ankur P Parikh

    2014-07-01

    Full Text Available The HMT3522 progression series of human breast cells have been used to discover how tissue architecture, microenvironment and signaling molecules affect breast cell growth and behaviors. However, much remains to be elucidated about malignant and phenotypic reversion behaviors of the HMT3522-T4-2 cells of this series. We employed a "pan-cell-state" strategy, and analyzed jointly microarray profiles obtained from different state-specific cell populations from this progression and reversion model of the breast cells using a tree-lineage multi-network inference algorithm, Treegl. We found that different breast cell states contain distinct gene networks. The network specific to non-malignant HMT3522-S1 cells is dominated by genes involved in normal processes, whereas the T4-2-specific network is enriched with cancer-related genes. The networks specific to various conditions of the reverted T4-2 cells are enriched with pathways suggestive of compensatory effects, consistent with clinical data showing patient resistance to anticancer drugs. We validated the findings using an external dataset, and showed that aberrant expression values of certain hubs in the identified networks are associated with poor clinical outcomes. Thus, analysis of various reversion conditions (including non-reverted of HMT3522 cells using Treegl can be a good model system to study drug effects on breast cancer.

  11. Comparison of Back propagation neural network and Back propagation neural network Based Particle Swarm intelligence in Diagnostic Breast Cancer

    Directory of Open Access Journals (Sweden)

    Farahnaz SADOUGHI

    2014-03-01

    Full Text Available Breast cancer is the most commonly diagnosed cancer and the most common cause of death in women all over the world. Use of computer technology supporting breast cancer diagnosing is now widespread and pervasive across a broad range of medical areas. Early diagnosis of this disease can greatly enhance the chances of long-term survival of breast cancer victims. Artificial Neural Networks (ANN as mainly method play important role in early diagnoses breast cancer. This paper studies Levenberg Marquardet Backpropagation (LMBP neural network and Levenberg Marquardet Backpropagation based Particle Swarm Optimization(LMBP-PSO for the diagnosis of breast cancer. The obtained results show that LMBP and LMBP based PSO system provides higher classification efficiency. But LMBP based PSO needs minimum training and testing time. It helps in developing Medical Decision System (MDS for breast cancer diagnosing. It can also be used as secondary observer in clinical decision making.

  12. Classification of breast cancer histology images using Convolutional Neural Networks

    National Research Council Canada - National Science Library

    Teresa Araújo; Guilherme Aresta; Eduardo Castro; José Rouco; Paulo Aguiar; Catarina Eloy; António Polónia; Aurélio Campilho

    2017-01-01

    Breast cancer is one of the main causes of cancer death worldwide. The diagnosis of biopsy tissue with hematoxylin and eosin stained images is non-trivial and specialists often disagree on the final diagnosis...

  13. The gene regulatory network for breast cancer: Integrated regulatory landscape of cancer hallmarks

    Directory of Open Access Journals (Sweden)

    Frank eEmmert-Streib

    2014-02-01

    Full Text Available In this study, we infer the breast cancer gene regulatory network from gene expression data. This network is obtained from the application of the BC3Net inference algorithm to a large-scale gene expression data set consisting of $351$ patient samples. In order to elucidate the functional relevance of the inferred network, we are performing a Gene Ontology (GO analysis for its structural components. Our analysis reveals that most significant GO-terms we find for the breast cancer network represent functional modules of biological processes that are described by known cancer hallmarks, including translation, immune response, cell cycle, organelle fission, mitosis, cell adhesion, RNA processing, RNA splicing and response to wounding. Furthermore, by using a curated list of census cancer genes, we find an enrichment in these functional modules. Finally, we study cooperative effects of chromosomes based on information of interacting genes in the beast cancer network. We find that chromosome $21$ is most coactive with other chromosomes. To our knowledge this is the first study investigating the genome-scale breast cancer network.

  14. Neural network feature selection for breast cancer diagnosis

    Science.gov (United States)

    Kocur, Catherine M.; Rogers, Steven K.; Bauer, Kenneth W., Jr.; Steppe, Jean M.; Hoffmeister, Jeffrey W.

    1995-04-01

    More than 50 million women over the age of 40 are currently at risk for breast cancer in the United States. Computer-aided diagnosis, as a second opinion to radiologists, will aid in decreasing the number of false readings of mammograms. Neural network benefits are exploited at both the classification and feature selection stages in the development of a computer-aided breast cancer diagnostic system. The multilayer perceptron is used to classify and contrast three features (angular second moment, eigenmasses, and wavelets) developed to distinguish benign from malignant lesion in a database of 94 difficult-to-diagnose digitized microcalcification cases. System performance of 74 percent correct classifications is achieved. Feature selection techniques are presented which further improve performance. Neural and decision boundary-based methods are implemented, compared, and validated to isolate and remove useless features. The contribution from this analysis is an increase to 88 percent correct classification in system performance. These feature selection techniques can also process risk factor data.

  15. Breast Cancer Diagnosis using Artificial Neural Networks with Extreme Learning Techniques

    OpenAIRE

    Chandra Prasetyo Utomo; Aan Kardiana; Rika Yuliwulandari

    2014-01-01

    Breast cancer is the second cause of dead among women. Early detection followed by appropriate cancer treatment can reduce the deadly risk. Medical professionals can make mistakes while identifying a disease. The help of technology such as data mining and machine learning can substantially improve the diagnosis accuracy. Artificial Neural Networks (ANN) has been widely used in intelligent breast cancer diagnosis. However, the standard Gradient-Based Back Propagation Artificial Neural Networks...

  16. Establishment of the Fox Chase Network Breast Cancer Risk Registry

    Science.gov (United States)

    1996-10-01

    its prevalence in this population, whether certain segments of this population share an excessive risk, and implications for genetic testing. -1- The...the true prevalence of breast cancer gene(s) in the population. Despite widespread public interest in breast cancer, many first degree relatives of...of relatives c. ethnicity and/or ancestral origins d. consanguinity e. confirmation of full sibship, relations f. medical, reproductive, and surgical

  17. Classification of breast cancer cytological specimen using convolutional neural network

    Science.gov (United States)

    Żejmo, Michał; Kowal, Marek; Korbicz, Józef; Monczak, Roman

    2017-01-01

    The paper presents a deep learning approach for automatic classification of breast tumors based on fine needle cytology. The main aim of the system is to distinguish benign from malignant cases based on microscopic images. Experiment was carried out on cytological samples derived from 50 patients (25 benign cases + 25 malignant cases) diagnosed in Regional Hospital in Zielona Góra. To classify microscopic images, we used convolutional neural networks (CNN) of two types: GoogLeNet and AlexNet. Due to the very large size of images of cytological specimen (on average 200000 × 100000 pixels), they were divided into smaller patches of size 256 × 256 pixels. Breast cancer classification usually is based on morphometric features of nuclei. Therefore, training and validation patches were selected using Support Vector Machine (SVM) so that suitable amount of cell material was depicted. Neural classifiers were tuned using GPU accelerated implementation of gradient descent algorithm. Training error was defined as a cross-entropy classification loss. Classification accuracy was defined as the percentage ratio of successfully classified validation patches to the total number of validation patches. The best accuracy rate of 83% was obtained by GoogLeNet model. We observed that more misclassified patches belong to malignant cases.

  18. Decision-support networks of women newly diagnosed with breast cancer.

    Science.gov (United States)

    Wallner, Lauren P; Li, Yun; McLeod, M Chandler; Hamilton, Ann S; Ward, Kevin C; Veenstra, Christine M; An, Lawrence C; Janz, Nancy K; Katz, Steven J; Hawley, Sarah T

    2017-10-15

    Little is known about the size and characteristics of the decision-support networks of women newly diagnosed with breast cancer and whether their involvement improves breast cancer treatment decisions. A population-based sample of patients newly diagnosed with breast cancer in 2014 and 2015, as reported to the Georgia and Los Angeles Surveillance, Epidemiology, and End Results registries, were surveyed approximately 7 months after diagnosis (N = 2502; response rate, 68%). Network size was estimated by asking women to list up to 3 of the most important decision-support persons (DSPs) who helped them with locoregional therapy decisions. Decision deliberation was measured using 4 items assessing the degree to which patients thought through the decision, with higher scores reflecting more deliberative breast cancer treatment decisions. The size of the network (range, 0-3 or more) was compared across patient-level characteristics, and adjusted mean deliberation scores were estimated across levels of network size using multivariable linear regression. Of the 2502 women included in this analysis, 51% reported having 3 or more DSPs, 20% reported 2, 18% reported 1, and 11% reported not having any DSPs. Married/partnered women, those younger than 45 years, and black women all were more likely to report larger network sizes (all P support networks were associated with more deliberative surgical treatment decisions (P breast cancer should acknowledge and engage informal DSPs. Cancer 2017;123:3895-903. © 2017 American Cancer Society. © 2017 American Cancer Society.

  19. 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. ...

  20. Artificial neural networks as classification and diagnostic tools for lymph node-negative breast cancers

    Energy Technology Data Exchange (ETDEWEB)

    Eswari J, Satya; Chandrakar, Neha [National Institute of Technology Raipur, Raipur (India)

    2016-04-15

    Artificial neural networks (ANNs) can be used to develop a technique to classify lymph node negative breast cancer that is prone to distant metastases based on gene expression signatures. The neural network used is a multilayered feed forward network that employs back propagation algorithm. Once trained with DNA microarraybased gene expression profiles of genes that were predictive of distant metastasis recurrence of lymph node negative breast cancer, the ANNs became capable of correctly classifying all samples and recognizing the genes most appropriate to the classification. To test the ability of the trained ANN models in recognizing lymph node negative breast cancer, we analyzed additional idle samples that were not used beforehand for the training procedure and obtained the correctly classified result in the validation set. For more substantial result, bootstrapping of training and testing dataset was performed as external validation. This study illustrates the potential application of ANN for breast tumor diagnosis and the identification of candidate targets in patients for therapy.

  1. Dynamic modularity in protein interaction networks predicts breast cancer outcome

    DEFF Research Database (Denmark)

    Taylor, Ian W; Linding, Rune; Warde-Farley, David

    2009-01-01

    in biochemical structure were observed between the two types of hubs. Signaling domains were found more often in intermodular hub proteins, which were also more frequently associated with oncogenesis. Analysis of two breast cancer patient cohorts revealed that altered modularity of the human interactome may...

  2. The Athena Breast Health Network: developing a rapid learning system in breast cancer prevention, screening, treatment, and care.

    Science.gov (United States)

    Elson, Sarah L; Hiatt, Robert A; Anton-Culver, Hoda; Howell, Lydia P; Naeim, Arash; Parker, Barbara A; Van't Veer, Laura J; Hogarth, Michael; Pierce, John P; Duwors, Robert J; Hajopoulos, Kathy; Esserman, Laura J

    2013-07-01

    The term breast cancer covers many different conditions, whose clinical course ranges from indolent to aggressive. However, current practice in breast cancer prevention and care, and in breast cancer epidemiology, does not take into account the heterogeneity of the disease. A comprehensive understanding of the etiology and progression of different breast cancer subtypes would enable a more patient-centered approach to breast health care: assessing an individual's risk of getting specific subtypes of the disease, providing risk-based screening and prevention recommendations, and, for those diagnosed with the disease, tailored treatment options based on risk and timing of progression and mortality. The Athena Breast Health Network is an initiative of the five University of California medical and cancer centers to prototype this approach and to enable the development of a rapid learning system-connecting risk and outcome information from a heterogeneous patient population in real time and using new knowledge from research to continuously improve the quality of care. The Network is based on integrating clinical and research processes to create a comprehensive approach to accelerating patient-centered breast health care. Since its inception in 2009, the Network has developed a multi-site, transdisciplinary collaboration that enables the learning system. The five-campus collaboration has implemented a shared informatics platform, standardized electronic patient intake questionnaires, and common biospecimen protocols, as well as new clinical programs and multi-center research projects. The Athena Breast Health Network can serve as a model of a rapid learning system that integrates epidemiologic, behavioral, and clinical research with clinical care improvements.

  3. Transcriptional Network Analysis Identifies BACH1 as a Master Regulator of Breast Cancer Bone Metastasis

    Science.gov (United States)

    Liang, Yajun; Wu, Heng; Lei, Rong; Chong, Robert A.; Wei, Yong; Lu, Xin; Tagkopoulos, Ilias; Kung, Sun-Yuan; Yang, Qifeng; Hu, Guohong; Kang, Yibin

    2012-01-01

    The application of functional genomic analysis of breast cancer metastasis has led to the identification of a growing number of organ-specific metastasis genes, which often function in concert to facilitate different steps of the metastatic cascade. However, the gene regulatory network that controls the expression of these metastasis genes remains largely unknown. Here, we demonstrate a computational approach for the deconvolution of transcriptional networks to discover master regulators of breast cancer bone metastasis. Several known regulators of breast cancer bone metastasis such as Smad4 and HIF1 were identified in our analysis. Experimental validation of the networks revealed BACH1, a basic leucine zipper transcription factor, as the common regulator of several functional metastasis genes, including MMP1 and CXCR4. Ectopic expression of BACH1 enhanced the malignance of breast cancer cells, and conversely, BACH1 knockdown significantly reduced bone metastasis. The expression of BACH1 and its target genes was linked to the higher risk of breast cancer recurrence in patients. This study established BACH1 as the master regulator of breast cancer bone metastasis and provided a paradigm to identify molecular determinants in complex pathological processes. PMID:22875853

  4. Breast cancer

    Science.gov (United States)

    ... help you not feel alone. Outlook (Prognosis) New, improved treatments are helping people with breast cancer live ... carcinoma in situ Patient Instructions Breast radiation - discharge Chemotherapy - what to ask your doctor Lymphedema - self-care ...

  5. 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 ...

  6. Comparison of early performance indicators for screening projects within the European Breast Cancer Network: 1989-2000.

    NARCIS (Netherlands)

    Broeders, M.J.M.; Scharpantgen, A.; Ascunce, N.; Gairard, B.; Olsen, A.H.; Mantellini, P.; Mota, T.C.; Limbergen, E. van; Seradour, B.; Ponti, A.; Trejo, L.S.; Nystrom, L.

    2005-01-01

    In 1989 the European Breast Cancer Network (EBCN) was established by the first pilot projects for breast cancer screening, co-funded by the Europe Against Cancer programme. We report early performance indicators for these EBCN projects while taking into account their organizational setting. Out of

  7. Global Analysis of miRNA-mRNA Interaction Network in Breast Cancer with Brain Metastasis.

    Science.gov (United States)

    Li, Zhixin; Peng, Zhiqiang; Gu, Siyu; Zheng, Junfang; Feng, Duiping; Qin, Qiong; He, Junqi

    2017-08-01

    MicroRNAs (miRNAs) have been linked to a number of cancer types including breast cancer. The rate of brain metastases is 10-30% in patients with advanced breast cancer which is associated with poor prognosis. The potential application of miRNAs in the diagnostics and therapeutics of breast cancer with brain metastasis is an area of intense interest. In an initial effort to systematically address the differential expression of miRNAs and mRNAs in primary breast cancer which may provide clues for early detection of brain metastasis, we analyzed the consequent changes in global patterns of gene expression in Gene Expression Omnibus (GEO) data set obtained by microarray from patients with in situ carcinoma and patients with brain metastasis. The miRNA-pathway regulatory network and miRNA-mRNA regulatory network were investigated in breast cancer specimens from patients with brain metastasis to screen for significantly dysregulated miRNAs followed by prediction of their target genes and pathways by Gene Ontology (GO) analysis. Functional coordination of the changes of gene expression can be modulated by individual miRNAs. Two miRNAs, hsa-miR-17-5p and hsa-miR-16-5p, were identified as having the highest associations with targeted mRNAs [such as B-cell lymphoma 2 (BCL2), small body size/mothers against decapentaplegic 3 (SMAD3) and suppressor of cytokine signaling 1 (SOCS1)] and pathways associated with epithelial-mesenchymal transitions and other processes linked with cancer metastasis (including cell cycle, adherence junctions and extracellular matrix-receptor interaction). mRNAs for two genes [HECT, UBA and WWE domain containing 1 (HUWE1) and BCL2] were found to have the highest associations with miRNAs, which were down-regulated in brain metastasis specimens of breast cancer. The change of 11 selected miRNAs was verified in The Cancer Genome Atlas (TCGA) breast cancer dataset. Up-regulation of hsa-miR-17-5p was detected in triple-negative breast cancer tissues in

  8. A research about breast cancer detection using different neural networks and K-MICA algorithm.

    Science.gov (United States)

    Kalteh, A A; Zarbakhsh, Payam; Jirabadi, Meysam; Addeh, Jalil

    2013-01-01

    Breast cancer is the second leading cause of death for women all over the world. The correct diagnosis of breast cancer is one of the major problems in the medical field. From the literature it has been found that different pattern recognition techniques can help them to improve in this domain. This paper presents a novel hybrid intelligent method for detection of breast cancer. The proposed method includes two main modules: Clustering module and the classifier module. In the clustering module, first the input data will be clustered by a new technique. This technique is a suitable combination of the modified imperialist competitive algorithm (MICA) and K-means algorithm. Then the Euclidean distance of each pattern is computed from the determined clusters. The classifier module determines the membership of the patterns using the computed distance. In this module, several neural networks, such as the multilayer perceptron, probabilistic neural networks and the radial basis function neural networks are investigated. Using the experimental study, we choose the best classifier in order to recognize the breast cancer. The proposed system is tested on Wisconsin Breast Cancer (WBC) database and the simulation results show that the recommended system has high accuracy.

  9. A research about breast cancer detection using different neural networks and K-MICA algorithm

    Directory of Open Access Journals (Sweden)

    A A Kalteh

    2013-01-01

    Full Text Available Breast cancer is the second leading cause of death for women all over the world. The correct diagnosis of breast cancer is one of the major problems in the medical field. From the literature it has been found that different pattern recognition techniques can help them to improve in this domain. This paper presents a novel hybrid intelligent method for detection of breast cancer. The proposed method includes two main modules: Clustering module and the classifier module. In the clustering module, first the input data will be clustered by a new technique. This technique is a suitable combination of the modified imperialist competitive algorithm (MICA and K-means algorithm. Then the Euclidean distance of each pattern is computed from the determined clusters. The classifier module determines the membership of the patterns using the computed distance. In this module, several neural networks, such as the multilayer perceptron, probabilistic neural networks and the radial basis function neural networks are investigated. Using the experimental study, we choose the best classifier in order to recognize the breast cancer. The proposed system is tested on Wisconsin Breast Cancer (WBC database and the simulation results show that the recommended system has high accuracy.

  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 ... as possible. Learn more about palliative care . Recurrent breast cancer If the cancer does return after treatment for ...

  11. Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.

    Science.gov (United States)

    Ayer, Turgay; Alagoz, Oguzhan; Chhatwal, Jagpreet; Shavlik, Jude W; Kahn, Charles E; Burnside, Elizabeth S

    2010-07-15

    Discriminating malignant breast lesions from benign ones and accurately predicting the risk of breast cancer for individual patients are crucial to successful clinical decisions. In the past, several artificial neural network (ANN) models have been developed for breast cancer-risk prediction. All studies have reported discrimination performance, but not one has assessed calibration, which is an equivalently important measure for accurate risk prediction. In this study, the authors have evaluated whether an artificial neural network (ANN) trained on a large prospectively collected dataset of consecutive mammography findings can discriminate between benign and malignant disease and accurately predict the probability of breast cancer for individual patients. Our dataset consisted of 62,219 consecutively collected mammography findings matched with the Wisconsin State Cancer Reporting System. The authors built a 3-layer feedforward ANN with 1000 hidden-layer nodes. The authors trained and tested their ANN by using 10-fold cross-validation to predict the risk of breast cancer. The authors used area the under the receiver-operating characteristic curve (AUC), sensitivity, and specificity to evaluate discriminative performance of the radiologists and their ANN. The authors assessed the accuracy of risk prediction (ie, calibration) of their ANN by using the Hosmer-Lemeshow (H-L) goodness-of-fit test. Their ANN demonstrated superior discrimination (AUC, 0.965) compared with the radiologists (AUC, 0.939; Pcancer for individual abnormalities. Copyright (c) 2010 American Cancer Society.

  12. Predicting post-treatment survivability of patients with breast cancer using Artificial Neural Network methods.

    Science.gov (United States)

    Wang, Tan-Nai; Cheng, Chung-Hao; Chiu, Hung-Wen

    2013-01-01

    In the last decade, the use of data mining techniques has become widely accepted in medical applications, especially in predicting cancer patients' survival. In this study, we attempted to train an Artificial Neural Network (ANN) to predict the patients' five-year survivability. Breast cancer patients who were diagnosed and received standard treatment in one hospital during 2000 to 2003 in Taiwan were collected for train and test the ANN. There were 604 patients in this dataset excluding died not in breast cancer. Among them 140 patients died within five years after their first radiotherapy treatment. The artificial neural networks were created by STATISTICA(®) software. Five variables (age, surgery and radiotherapy type, tumor size, regional lymph nodes, distant metastasis) were selected as the input features for ANN to predict the five-year survivability of breast cancer patients. We trained 100 artificial neural networks and chose the best one to analyze. The accuracy rate is 85% and area under the receiver operating characteristic (ROC) curve is 0.79. It shows that artificial neural network is a good tool to predict the five-year survivability of breast cancer patients.

  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. 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 ...

  15. 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. ...

  16. Provider perceptions and expectations of breast cancer post-treatment care: A University of California Athena Breast Health Network project

    Science.gov (United States)

    Hahn, Erin E.; Ganz, Patricia A.; Melisko, Michelle; Pierce, John; von Friederichs-Fitzwater, Marlene; Lane, Karen; Hiatt, Robert

    2013-01-01

    Purpose The Athena Breast Health Network collaboration is a University of California system-wide project initiated with the intent to drive innovation in breast cancer prevention, screening and treatment. This qualitative research examines provider perceptions and expectations of post-treatment breast cancer care across five Network sites with the goal of better understanding provider behavior during the post-treatment phase of the cancer care trajectory. Methods Investigators at each site conducted semi-structured interviews with oncology specialists and primary care providers (PCPs). Interviews used case study examples and open- and closed-ended questions on the delivery of post-treatment breast cancer care. Informant responses were manually recorded by the interviewer, compiled in a database, then coded and analyzed using NVivo 9 software. Results There were 39 key informants across the sites: 14 medical oncologists, 7 radiation oncologists, 11 surgeons, 3 oncology nurses, and 4 PCPs. Care coordination was a major unprompted theme identified in the interviews. There was a perceived need for greater care coordination across institutions in order to improve delivery of post-treatment health care services and a need for greater care coordination within oncology, particularly to help avoid duplication of follow-up care and services. Participants expect frequent follow-up visits and to use biomarker tests and advanced imaging services as part of routine surveillance care. Implementing survivorship care programs was perceived as a way to improve care delivery. Conclusions These results identify a need for increased focus on care coordination during the post-treatment phase of breast cancer care within the UC system, and the potential for system and provider level interventions that could help increase coordination of post-treatment care. Implications for Cancer Survivors Breast cancer survivors do not always receive evidence-based care. This research helps to better

  17. Provider perceptions and expectations of breast cancer posttreatment care: a University of California Athena Breast Health Network project.

    Science.gov (United States)

    Hahn, Erin E; Ganz, Patricia A; Melisko, Michelle E; Pierce, John P; von Friederichs-Fitzwater, Marlene; Lane, Karen T; Hiatt, Robert A

    2013-09-01

    The Athena Breast Health Network collaboration is a University of California system-wide project initiated with the intent to drive innovation in breast cancer prevention, screening, and treatment. This qualitative research examines provider perceptions and expectations of posttreatment breast cancer care across five network sites with the goal of better understanding provider behavior during the posttreatment phase of the cancer care trajectory. Investigators at each site conducted semi-structured interviews with oncology specialists and primary care providers (PCPs). Interviews used case study examples and open- and closed-ended questions on the delivery of posttreatment breast cancer care. Informant responses were manually recorded by the interviewer, compiled in a database, then coded and analyzed using NVivo 9 software. There were 39 key informants across the sites: 14 medical oncologists, 7 radiation oncologists, 11 surgeons, 3 oncology nurses, and 4 PCPs. Care coordination was a major unprompted theme identified in the interviews. There was a perceived need for greater care coordination across institutions in order to improve delivery of posttreatment health care services and a need for greater care coordination within oncology, particularly to help avoid duplication of follow-up care and services. Participants expect frequent follow-up visits and to use biomarker tests and advanced imaging services as part of routine surveillance care. Implementing survivorship care programs was perceived as a way to improve care delivery. These results identify a need for increased focus on care coordination during the posttreatment phase of breast cancer care within the University of California system and the potential for system and provider-level interventions that could help increase coordination of posttreatment care. Breast cancer survivors do not always receive evidence-based care. This research helps to better understand what motivates provider behavior during the

  18. MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer

    Directory of Open Access Journals (Sweden)

    Yen-Jen Oyang

    2013-05-01

    Full Text Available MicroRNAs, which are small endogenous RNA regulators, have been associated with various types of cancer. Breast cancer is a major health threat for women worldwide. Many miRNAs were reported to be associated with the progression and carcinogenesis of breast cancer. In this study, we aimed to discover novel breast cancer-related miRNAs and to elucidate their functions. First, we identified confident miRNA-target pairs by combining data from miRNA target prediction databases and expression profiles of miRNA and mRNA. Then, miRNA-regulated protein interaction networks (PINs were constructed with confident pairs and known interaction data in the human protein reference database (HPRD. Finally, the functions of miRNA-regulated PINs were elucidated by functional enrichment analysis. From the results, we identified some previously reported breast cancer-related miRNAs and functions of the PINs, e.g., miR-125b, miR-125a, miR-21, and miR-497. Some novel miRNAs without known association to breast cancer were also found, and the putative functions of their PINs were also elucidated. These include miR-139 and miR-383. Furthermore, we validated our results by receiver operating characteristic (ROC curve analysis using our miRNA expression profile data, gene expression-based outcome for breast cancer online (GOBO survival analysis, and a literature search. Our results may provide new insights for research in breast cancer-associated miRNAs.

  19. Prediction of near-term breast cancer risk using a Bayesian belief network

    Science.gov (United States)

    Zheng, Bin; Ramalingam, Pandiyarajan; Hariharan, Harishwaran; Leader, Joseph K.; Gur, David

    2013-03-01

    Accurately predicting near-term breast cancer risk is an important prerequisite for establishing an optimal personalized breast cancer screening paradigm. In previous studies, we investigated and tested the feasibility of developing a unique near-term breast cancer risk prediction model based on a new risk factor associated with bilateral mammographic density asymmetry between the left and right breasts of a woman using a single feature. In this study we developed a multi-feature based Bayesian belief network (BBN) that combines bilateral mammographic density asymmetry with three other popular risk factors, namely (1) age, (2) family history, and (3) average breast density, to further increase the discriminatory power of our cancer risk model. A dataset involving "prior" negative mammography examinations of 348 women was used in the study. Among these women, 174 had breast cancer detected and verified in the next sequential screening examinations, and 174 remained negative (cancer-free). A BBN was applied to predict the risk of each woman having cancer detected six to 18 months later following the negative screening mammography. The prediction results were compared with those using single features. The prediction accuracy was significantly increased when using the BBN. The area under the ROC curve increased from an AUC=0.70 to 0.84 (p<0.01), while the positive predictive value (PPV) and negative predictive value (NPV) also increased from a PPV=0.61 to 0.78 and an NPV=0.65 to 0.75, respectively. This study demonstrates that a multi-feature based BBN can more accurately predict the near-term breast cancer risk than with a single feature.

  20. Changes in Female Support Network Systems and Adaptation after Breast Cancer Diagnosis: Differences between Older and Younger Patients

    Science.gov (United States)

    Ashida, Sato; Palmquist, Aunchalee E. L.; Basen-Engquist, Karen; Singletary, S. Eva; Koehly, Laura M.

    2009-01-01

    Purpose: This study evaluates the changes in social networks of older and younger breast cancer patients over a 6-month period following their first diagnosis and how such modifications are associated with changes in the patients' mood state. Design and Methods: Newly diagnosed breast cancer patients were interviewed shortly after their diagnosis…

  1. 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).

  2. 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 ...

  3. Breast Cancer

    Science.gov (United States)

    ... a reduced risk of breast cancer. The Mediterranean diet focuses mostly on plant-based foods, such as fruits and vegetables, whole grains, legumes, and nuts. People who follow the Mediterranean diet choose healthy fats, such as olive oil, over ...

  4. Breast Cancer

    Science.gov (United States)

    ... disease. It’s estimated that about 10% of breast cancer cases are hereditary (run in the family). In many of these cases, you inherited a gene from your parents that has mutated (changed from ...

  5. Identification of Linkages between EDCs in Personal Care Products and Breast Cancer through Data Integration Combined with Gene Network Analysis.

    Science.gov (United States)

    Jeong, Hyeri; Kim, Jongwoon; Kim, Youngjun

    2017-09-30

    Approximately 1000 chemicals have been reported to possibly have endocrine disrupting effects, some of which are used in consumer products, such as personal care products (PCPs) and cosmetics. We conducted data integration combined with gene network analysis to: (i) identify causal molecular mechanisms between endocrine disrupting chemicals (EDCs) used in PCPs and breast cancer; and (ii) screen candidate EDCs associated with breast cancer. Among EDCs used in PCPs, four EDCs having correlation with breast cancer were selected, and we curated 27 common interacting genes between those EDCs and breast cancer to perform the gene network analysis. Based on the gene network analysis, ESR1, TP53, NCOA1, AKT1, and BCL6 were found to be key genes to demonstrate the molecular mechanisms of EDCs in the development of breast cancer. Using GeneMANIA, we additionally predicted 20 genes which could interact with the 27 common genes. In total, 47 genes combining the common and predicted genes were functionally grouped with the gene ontology and KEGG pathway terms. With those genes, we finally screened candidate EDCs for their potential to increase breast cancer risk. This study highlights that our approach can provide insights to understand mechanisms of breast cancer and identify potential EDCs which are in association with breast cancer.

  6. Social networks, social support mechanisms, and quality of life after breast cancer diagnosis

    Science.gov (United States)

    Kroenke, Candyce H; Kwan, Marilyn L.; Neugut, Alfred I.; Ergas, Isaac J.; Wright, Jaime D.; Caan, Bette J.; Hershman, Dawn; Kushi, Lawrence H.

    2013-01-01

    Purpose We examined mechanisms through which social relationships influence quality of life (QOL) in breast cancer survivors. Methods This study included 3,139 women from the Pathways Study who were diagnosed with breast cancer from 2006-2011 and provided data on social networks (presence of spouse or intimate partner, religious/social ties, volunteering, and numbers of close friends and relatives), social support (tangible, emotional/informational, affection, positive social interaction), and quality of life (QOL), measured by the FACT-B, approximately two months post-diagnosis. We used logistic models to evaluate associations between social network size, social support, and lower vs. higher than median QOL scores. We further stratified by stage at diagnosis and treatment. Results In multivariate-adjusted analyses, women who were characterized as socially isolated had significantly lower FACT-B (OR=2.18, 95%CI:1.72-2.77), physical well-being (WB) (OR=1.61, 95%CI:1.27-2.03), functional WB (OR=2.08, 95%CI:1.65-2.63), social WB (OR=3.46, 95%CI:2.73-4.39), and emotional WB (OR=1.67, 95%CI:1.33-2.11) scores and higher breast cancer symptoms (OR=1.48, 95%CI:1.18-1.87), compared with socially integrated women. Each social network member independently predicted higher QOL. Simultaneous adjustment for social networks and social support partially attenuated associations between social networks and QOL. The strongest mediator and type of social support that was most predictive of QOL outcomes was “positive social interaction”. However, each type of support was important depending on outcome, stage, and treatment status. Conclusions Larger social networks and greater social support were related to higher QOL after a diagnosis of breast cancer. Effective social support interventions need to evolve beyond social-emotional interventions and need to account for disease severity and treatment status. PMID:23657404

  7. A Partnership Training Program in Breast Cancer Diagnosis: Concept Development of the Next Generation Diagnostic Breast Imaging Using Digital Image Library and Networking Techniques

    National Research Council Canada - National Science Library

    Chouikha, Mohamed F

    2004-01-01

    ...); and Georgetown University (Image Science and Information Systems, ISIS). In this partnership training program, we will train faculty and students in breast cancer imaging, digital image database library techniques and network communication strategy...

  8. An Investigation of Bayes Algorithm and Neural Networks for Identifying the Breast Cancer.

    Science.gov (United States)

    Udayakumar, E; Santhi, S; Vetrivelan, P

    2017-01-01

    Breast cancer is a biggest threat to women. X-ray mammography is the most effective method for early detection and screening of breast cancer. It is a tough challenge for the radiologist in reading mammography since it does not provide consistent result every time. To improve the primary sign of this disease, computer-aided diagnosis schemes have been developed. Using monitor, digital images of mammography are displayed and they can be lightened or darkened before they are printed on the film. Time factor is important to identify the abnormality in body such as breast cancer and lung cancer. Hence, to detect the tissues and treatment stages, image-processing techniques are improved in several medical areas. In this project, using low-level preprocessing techniques and image segmentation, the breast cancer detection is done. With the help of Bayes algorithm and neural networks (NNs), the type of the mammogram and stages is identified. For segmentation process, region-growing algorithm is used, which helps to find the affected portion, i.e., region of interest. Gray-level co-occurrence matrix (GLCM) and texture feature are used for feature extraction. Bayes algorithm is used for probability of identification, whereas NNs is used to reduce the probability level from 0-1000 to 0-1 in case of classification.

  9. Social networks and social support for healthy eating among Latina breast cancer survivors: implications for social and behavioral interventions.

    Science.gov (United States)

    Crookes, Danielle M; Shelton, Rachel C; Tehranifar, Parisa; Aycinena, Corina; Gaffney, Ann Ogden; Koch, Pam; Contento, Isobel R; Greenlee, Heather

    2016-04-01

    Little is known about Latina breast cancer survivors' social networks or their perceived social support to achieve and maintain a healthy diet. This paper describes the social networks and perceived support for healthy eating in a sample of breast cancer survivors of predominantly Dominican descent living in New York City. Spanish-speaking Latina breast cancer survivors enrolled in a randomized controlled trial of a culturally tailored dietary intervention. Social networks were assessed using Cohen's Social Network Index and a modified General Social Survey Social Networks Module that included assessments of shared health promoting behaviors. Perceived social support from family and friends for healthy, food-related behaviors was assessed. Participants' networks consisted predominantly of family and friends. Family members were more likely than other individuals to be identified as close network members. Participants were more likely to share food-related activities than exercise activities with close network members. Perceived social support for healthy eating was high, although perceived support from spouses and children was higher than support from friends. Despite high levels of perceived support, family was also identified as a barrier to eating healthy foods by nearly half of women. Although friends are part of Latina breast cancer survivors' social networks, spouses and children may provide greater support for healthy eating than friends. Involving family members in dietary interventions for Latina breast cancer survivors may tap into positive sources of support for women, which could facilitate uptake and maintenance of healthy eating behaviors.

  10. Risks of Breast Cancer Screening

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Screening (PDQ®)–Patient Version What is screening? ... cancer screening: Cancer Screening Overview General Information About Breast Cancer Key Points Breast cancer is a disease ...

  11. Epidemiology of Breast Cancer

    OpenAIRE

    南, 優子; ミナミ, ユウコ; MINAMI, Yuko

    2007-01-01

    During recent decades, breast cancer incidence has been increasing in Japan. Epidemiological studies have clarified the trend in breast cancer incidence and identified risk factors for breast cancer. Established risk factors for breast cancer include early age at menarche, late age at first birth, low parity, postmenopausal obesity, family history of breast cancer, and history of benign breast disease. Breast-feeding and physical activity may also be associated with breast cancer risk. Detail...

  12. Evaluation of the Diagnostic Power of Thermography in Breast Cancer Using Bayesian Network Classifiers

    Science.gov (United States)

    Nicandro, Cruz-Ramírez; Efrén, Mezura-Montes; María Yaneli, Ameca-Alducin; Enrique, Martín-Del-Campo-Mena; Héctor Gabriel, Acosta-Mesa; Nancy, Pérez-Castro; Alejandro, Guerra-Hernández; Guillermo de Jesús, Hoyos-Rivera; Rocío Erandi, Barrientos-Martínez

    2013-01-01

    Breast cancer is one of the leading causes of death among women worldwide. There are a number of techniques used for diagnosing this disease: mammography, ultrasound, and biopsy, among others. Each of these has well-known advantages and disadvantages. A relatively new method, based on the temperature a tumor may produce, has recently been explored: thermography. In this paper, we will evaluate the diagnostic power of thermography in breast cancer using Bayesian network classifiers. We will show how the information provided by the thermal image can be used in order to characterize patients suspected of having cancer. Our main contribution is the proposal of a score, based on the aforementioned information, that could help distinguish sick patients from healthy ones. Our main results suggest the potential of this technique in such a goal but also show its main limitations that have to be overcome to consider it as an effective diagnosis complementary tool. PMID:23762182

  13. The network of pluripotency, epithelial–mesenchymal transition, and prognosis of breast cancer

    Directory of Open Access Journals (Sweden)

    Voutsadakis IA

    2015-09-01

    Full Text Available Ioannis A Voutsadakis1,2 1Division of Medical Oncology, Department of Internal Medicine, Sault Area Hospital, Sault Ste Marie, ON, Canada; 2Division of Clinical Sciences, Northern Ontario School of Medicine, Sudbury, ON, Canada Abstract: Breast cancer is the leading female cancer in terms of prevalence. Progress in molecular biology has brought forward a better understanding of its pathogenesis that has led to better prognostication and treatment. Subtypes of breast cancer have been identified at the genomic level and guide therapeutic decisions based on their biology and the expected benefit from various interventions. Despite this progress, a significant percentage of patients die from their disease and further improvements are needed. The cancer stem cell theory and the epithelial–mesenchymal transition are two comparatively novel concepts that have been introduced in the area of cancer research and are actively investigated. Both processes have their physiologic roots in normal development and common mediators have begun to surface. This review discusses the associations of these networks as a prognostic framework in breast cancer. Keywords: stem cells, epithelial-to-mesenchymal transition, mesenchymal-to-epithelial transition

  14. Management of Adenoid Cystic Carcinoma of the Breast: A Rare Cancer Network Study

    Energy Technology Data Exchange (ETDEWEB)

    Khanfir, Kaouthar, E-mail: kaouthar.khanfir@rsv-gnw.ch [Hopital de Sion, CHCVs, Sion (Switzerland); Kallel, Adel [Institut Gustave Roussy, Villejuif (France); Villette, Sylviane [Centre Rene Huguenin, Paris (France); Belkacemi, Yazid [CHU Henri Mondor, Centre Oscar Lambret, Lille (France); Vautravers, Claire [Centre George Francois Leclerc, Dijon (France); Nguyen, TanDat [Institut Jean Gaudinot, Reims (France); Miller, Robert [Mayo Clinic, Rochester, Minnesota (United States); Li Yexiong [Peking Union Medical College, Beijing (China); Taghian, Alphonse G. [Massachusetts General Hospital, Boston, Massachusetts (United States); Boersma, Liesbeth [Maastricht University Medical Center (MAASTRO clinic), Maastricht (Netherlands); Poortmans, Philip [Dr. Bernard Verbeeten Institute, Tilburg (Netherlands); Goldberg, Hadassah [Western Galilee Hospital-Nahariya, Nahariya (Israel); Vees, Hansjorg [Hopitaux Universitaires de Geneve, Geneva (Switzerland); Senkus, Elzbieta [Medical University of Gdansk, Gdansk (Poland); Igdem, Sefik; Ozsahin, Mahmut [Istanbul Bilim University, Istanbul (Turkey); Jeanneret Sozzi, Wendy [Centre Hospitalier Universitaire Vaudois, Lausanne (Switzerland)

    2012-04-01

    Background: Mammary adenoid cystic carcinoma (ACC) is a rare breast cancer. The aim of this retrospective study was to assess prognostic factors and patterns of failure, as well as the role of radiation therapy (RT), in ACC. Methods: Between January 1980 and December 2007, 61 women with breast ACC were treated at participating centers of the Rare Cancer Network. Surgery consisted of lumpectomy in 41 patients and mastectomy in 20 patients. There were 51(84%) stage pN0 and 10 stage cN0 (16%) patients. Postoperative RT was administered to 40 patients (35 after lumpectomy, 5 after mastectomy). Results: With a median follow-up of 79 months (range, 6-285), 5-year overall and disease-free survival rates were 94% (95% confidence interval [CI], 88%-100%) and 82% (95% CI, 71%-93%), respectively. The 5-year locoregional control (LRC) rate was 95% (95% CI, 89%-100%). Axillary lymph node dissection or sentinel node biopsy was performed in 84% of cases. All patients had stage pN0 disease. In univariate analysis, survival was not influenced by the type of surgery or the use of postoperative RT. The 5-year LRC rate was 100% in the mastectomy group versus 93% (95% CI, 83%-100%) in the breast-conserving surgery group, respectively (p = 0.16). For the breast-conserving surgery group, the use of RT significantly correlated with LRC (p = 0.03); the 5-year LRC rates were 95% (95% CI, 86%-100%) for the RT group versus 83% (95% CI, 54%-100%) for the group receiving no RT. No local failures occurred in patients with positive margins, all of whom received postoperative RT. Conclusion: Breast-conserving surgery is the treatment of choice for patients with ACC breast cancer. Axillary lymph node dissection or sentinel node biopsy might not be recommended. Postoperative RT should be proposed in the case of breast-conserving surgery.

  15. Breast cancer publication network: profile of co-authorship and co-organization.

    Science.gov (United States)

    Biglu, Mohammad-Hossein; Abotalebi, Parvaneh; Ghavami, Mostafa

    2016-01-01

    Introduction: Breast cancer is one of the highest reasons of deaths for people in the world. The objective of current study is to analyze and visualize the trend of global scientific activities in the field of breast cancer during a period of 10 years through 2006-2015. Methods: The current study was performed by utilizing the scientometrics analysis and mapping the co-authorship and co-organization networks. The Web of Science Core Collection (WoS-CC)database was used to extract all papers indexed as a topic of breast cancer through 2006 to 2015. Research productivity was measured through analysis several parameters, including: the number and time course of publications, the journal and language of publications, the frequency and type of publications, as well as top 20 active sub-categories together with country contribution. The extracted data were transferred into the Excel charts and plotted as diagrams. The Science of Science (Sci2) and CiteSpace softwares were used as tools for mapping the co-authorship and co-organization networks of the published papers. Results: Analysis of data indicated that the number of publications in the field of breast cancer has linearly increased and correlated with the time-course of the study. The number of publication indexed in WoS-CC in 2015 was two times greater than that of 2006, which reached from 15 229 documents in 2006 to 30 667 documents in 2015. English Language accounted for 98% of total publications as the most dominant language. The vast majority of publications' type was in the form of original journal articles (64.7%). Based on Bradford scatterings law, the journal of "Cancer Research" was the most productive journal among the core journals, while the USA, China, and England were the most prolific countries in the field. The co-organization network indicated the dominant role of Harvard University in the field. Conclusion: The integrity of network indicated that scientists in the field of breast cancer

  16. 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 ...

  17. 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 ...

  18. Breast Cancer

    Science.gov (United States)

    ... the Mediterranean diet choose healthy fats, such as olive oil, over butter and fish instead of red meat. Breast cancer risk reduction for women with a high risk If your doctor has assessed your family history and determined that you have other factors, such ...

  19. Network Medicine Strikes a Blow against Breast Cancer

    DEFF Research Database (Denmark)

    Erler, Janine Terra; Linding, Rune

    2012-01-01

    Drug development for complex diseases is shifting from targeting individual proteins or genes to systems-based attacks targeting dynamic network states. Lee et al. now reveal how the progressive rewiring of a signaling network over time following EGF receptor inhibition leaves triple-negative bre...

  20. Social networks, social support, and burden in relationships, and mortality after breast cancer diagnosis in the Life After Breast Cancer Epidemiology (LACE) study.

    Science.gov (United States)

    Kroenke, Candyce H; Quesenberry, Charles; Kwan, Marilyn L; Sweeney, Carol; Castillo, Adrienne; Caan, Bette J

    2013-01-01

    Larger social networks have been associated with lower breast cancer mortality. The authors evaluated how levels of social support and burden influenced this association. We included 2,264 women from the Life After Cancer Epidemiology study who were diagnosed with early-stage, invasive breast cancer between 1997 and 2000, and provided data on social networks (spouse or intimate partner, religious/social ties, volunteering, time socializing with friends, and number of first-degree female relatives), social support, and caregiving. 401 died during a median follow-up of 10.8 years follow-up with 215 from breast cancer. We used delayed entry Cox proportional hazards regression to evaluate associations. In multivariate-adjusted analyses, social isolation was unrelated to recurrence or breast cancer-specific mortality. However, socially isolated women had higher all-cause mortality (HR = 1.34, 95 % CI: 1.03-1.73) and mortality from other causes (HR = 1.79, 95 % CI: 1.19-2.68). Levels of social support and burden modified associations. Among those with low, but not high, levels of social support from friends and family, lack of religious/social participation (HR = 1.58, 95 % CI: 1.07-2.36, p = 0.02, p interaction = 0.01) and lack of volunteering (HR = 1.78, 95 % CI: 1.15-2.77, p = 0.01, p interaction = 0.01) predicted higher all-cause mortality. In cross-classification analyses, only women with both small networks and low levels of support (HR = 1.61, 95 % CI: 1.10-2.38) had a significantly higher risk of mortality than women with large networks and high levels of support; women with small networks and high levels of support had no higher risk of mortality (HR = 1.13, 95 % CI: 0.74-1.72). Social networks were also more important for caregivers versus noncaregivers. Larger social networks predicted better prognosis after breast cancer, but associations depended on the quality and burden of family relationships.

  1. Multifaceted Leptin network: the molecular connection between obesity and breast cancer

    Science.gov (United States)

    Saxena, Neeraj K.; Sharma, Dipali

    2016-01-01

    High plasma levels of leptin, a major adipocytokine produced by adipocytes, are correlated with increased fat mass in obese state. Leptin is emerging as a key candidate molecule linking obesity with breast cancer. Acting via endocrine, paracrine, and autocrine manner, leptin impacts various stages of breast tumorigenesis from initiation and primary tumor growth to metastatic progression. Leptin also modulates the tumor microenvironment mainly through supporting migration of endothelial cells, neo-angiogenesis and sustaining recruitment of macrophage and monocytes. Various studies have shown that hyperactive leptin-signaling network leads to concurrent activation of multiple oncogenic pathways resulting in enhanced proliferation, decreased apoptosis, acquisition of mesenchymal phenotype, potentiated migration and enhanced invasion potential of tumor cells. Furthermore, the capability of leptin to interact with other molecular effectors of obese state including, estrogen, IGF-1, insulin, VEGF and inflammatory cytokines further increases its impact on breast tumor progression in obese state. This article presents an overview of the studies investigating the involvement of leptin in breast cancer. PMID:24214584

  2. Breast cancer stem cells, cytokine networks, and the tumor microenvironment

    National Research Council Canada - National Science Library

    Korkaya, Hasan; Liu, Suling; Wicha, Max S

    2011-01-01

    .... These cancer stem cells (CSCs) are regulated by complex interactions with the components of the tumor microenvironment - including mesenchymal stem cells, adipocytes, tumor associated fibroblasts, endothelial cells, and immune...

  3. 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. ...

  4. Breast Cancer Trends

    Science.gov (United States)

    ... 2011 Funding: Increasing Awareness and Support Among Young Women with Breast Cancer Funding: Young Breast Cancer Survivors Funding: Breast Cancer Genomics Statistics Rates by Race and Ethnicity Rates by State ...

  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. Breast cancer in pregnancy.

    Science.gov (United States)

    Krishna, Iris; Lindsay, Michael

    2013-09-01

    Pregnancy-associated breast cancer is defined as breast cancer diagnosed during pregnancy or in the first postpartum year. Breast cancer is one of the more common malignancies to occur during pregnancy and, as more women delay childbearing, the incidence of breast cancer in pregnancy is expected to increase. This article provides an overview of diagnosis, staging, and treatment of pregnancy-associated breast cancer. Recommendations for management of breast cancer in pregnancy are discussed. Copyright © 2013 Elsevier Inc. All rights reserved.

  7. Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer.

    Science.gov (United States)

    Mehdy, M M; Ng, P Y; Shair, E F; Saleh, N I Md; Gomes, C

    2017-01-01

    Medical imaging techniques have widely been in use in the diagnosis and detection of breast cancer. The drawback of applying these techniques is the large time consumption in the manual diagnosis of each image pattern by a professional radiologist. Automated classifiers could substantially upgrade the diagnosis process, in terms of both accuracy and time requirement by distinguishing benign and malignant patterns automatically. Neural network (NN) plays an important role in this respect, especially in the application of breast cancer detection. Despite the large number of publications that describe the utilization of NN in various medical techniques, only a few reviews are available that guide the development of these algorithms to enhance the detection techniques with respect to specificity and sensitivity. The purpose of this review is to analyze the contents of recently published literature with special attention to techniques and states of the art of NN in medical imaging. We discuss the usage of NN in four different medical imaging applications to show that NN is not restricted to few areas of medicine. Types of NN used, along with the various types of feeding data, have been reviewed. We also address hybrid NN adaptation in breast cancer detection.

  8. Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer

    Directory of Open Access Journals (Sweden)

    M. M. Mehdy

    2017-01-01

    Full Text Available Medical imaging techniques have widely been in use in the diagnosis and detection of breast cancer. The drawback of applying these techniques is the large time consumption in the manual diagnosis of each image pattern by a professional radiologist. Automated classifiers could substantially upgrade the diagnosis process, in terms of both accuracy and time requirement by distinguishing benign and malignant patterns automatically. Neural network (NN plays an important role in this respect, especially in the application of breast cancer detection. Despite the large number of publications that describe the utilization of NN in various medical techniques, only a few reviews are available that guide the development of these algorithms to enhance the detection techniques with respect to specificity and sensitivity. The purpose of this review is to analyze the contents of recently published literature with special attention to techniques and states of the art of NN in medical imaging. We discuss the usage of NN in four different medical imaging applications to show that NN is not restricted to few areas of medicine. Types of NN used, along with the various types of feeding data, have been reviewed. We also address hybrid NN adaptation in breast cancer detection.

  9. Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends.

    Science.gov (United States)

    Jurca, Gabriela; Addam, Omar; Aksac, Alper; Gao, Shang; Özyer, Tansel; Demetrick, Douglas; Alhajj, Reda

    2016-04-26

    Breast cancer is a serious disease which affects many women and may lead to death. It has received considerable attention from the research community. Thus, biomedical researchers aim to find genetic biomarkers indicative of the disease. Novel biomarkers can be elucidated from the existing literature. However, the vast amount of scientific publications on breast cancer make this a daunting task. This paper presents a framework which investigates existing literature data for informative discoveries. It integrates text mining and social network analysis in order to identify new potential biomarkers for breast cancer. We utilized PubMed for the testing. We investigated gene-gene interactions, as well as novel interactions such as gene-year, gene-country, and abstract-country to find out how the discoveries varied over time and how overlapping/diverse are the discoveries and the interest of various research groups in different countries. Interesting trends have been identified and discussed, e.g., different genes are highlighted in relationship to different countries though the various genes were found to share functionality. Some text analysis based results have been validated against results from other tools that predict gene-gene relations and gene functions.

  10. Breast Cancer and the Environment Research Program

    Science.gov (United States)

    The Breast Cancer and the Environment Research Program supports a multidisciplinary network of scientists, clinicians, and community partners to examine the effects of environmental exposures that may predispose a woman to breast cancer throughout her life.

  11. 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

    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.......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...... 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...

  12. Treatment Option Overview (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. General Information about 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 ...

  14. Classifying region of interests from mammograms with breast cancer into BIRADS using Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    Estefanía D. Avalos-Rivera

    2017-05-01

    Full Text Available Breast cancer is one of the most common cancers among female diseases all over the world. Early diagnosis and treatment is particularly important in reducing the mortality rate. This research is focused on the prevention of breast cancer, therefore it is important to detect micro-calcifications (MCs which are a sign of early stage breast cancer. Micro-calcifications are tiny deposits of calcium which are visible on mammograms as they present as tiny white spots. A computer-aided diagnosis system (CAD is created with the development of computer technology that way radiologists are aided improving their diagnostics while using CAD as a second reader. We are aiming to classify into BIRADS 2, 3 and 4 which are the stages when the cancer can be prevented and a fourth category called No lesion which are veins and tissue that our high pass Gaussian filter detects. This research focuses on classification using ANN (Artificial Neural Network. Experimenting with the categories to classify into using ANN, the results were the following: into the four mentioned before an overall accuracy of 71% was obtained, then joining categories BIRADS 2 and 3 into one and classifying into 3 categories gave an 80% of accuracy. Joining this two categories was the result of analizing the ROC curve and observation of the ROI images of the MCs as the regions measured are very alike in this two categories and variation is that MCs are more present in BIRADS 3 than in BIRADS 2. Data matrix was reduced using PCA (Principal Component Analysis but it did not gave better results so it was discarded as the ANN accuracy to classify was reduced to a 69.8%.

  15. Management of adenoid cystic carcinoma of the breast: a Rare Cancer Network study.

    Science.gov (United States)

    Khanfir, Kaouthar; Kallel, Adel; Villette, Sylviane; Belkacémi, Yazid; Vautravers, Claire; Nguyen, Tandat; Miller, Robert; Li, Ye Xiong; Taghian, Alphonse G; Boersma, Liesbeth; Poortmans, Philip; Goldberg, Hadassah; Vees, Hansjorg; Senkus, Elzbieta; Igdem, Sefik; Ozsahin, Mahmut; Jeanneret Sozzi, Wendy

    2012-04-01

    Mammary adenoid cystic carcinoma (ACC) is a rare breast cancer. The aim of this retrospective study was to assess prognostic factors and patterns of failure, as well as the role of radiation therapy (RT), in ACC. Between January 1980 and December 2007, 61 women with breast ACC were treated at participating centers of the Rare Cancer Network. Surgery consisted of lumpectomy in 41 patients and mastectomy in 20 patients. There were 51(84%) stage pN0 and 10 stage cN0 (16%) patients. Postoperative RT was administered to 40 patients (35 after lumpectomy, 5 after mastectomy). With a median follow-up of 79 months (range, 6-285), 5-year overall and disease-free survival rates were 94% (95% confidence interval [CI], 88%-100%) and 82% (95% CI, 71%-93%), respectively. The 5-year locoregional control (LRC) rate was 95% (95% CI, 89%-100%). Axillary lymph node dissection or sentinel node biopsy was performed in 84% of cases. All patients had stage pN0 disease. In univariate analysis, survival was not influenced by the type of surgery or the use of postoperative RT. The 5-year LRC rate was 100% in the mastectomy group versus 93% (95% CI, 83%-100%) in the breast-conserving surgery group, respectively (p = 0.16). For the breast-conserving surgery group, the use of RT significantly correlated with LRC (p = 0.03); the 5-year LRC rates were 95% (95% CI, 86%-100%) for the RT group versus 83% (95% CI, 54%-100%) for the group receiving no RT. No local failures occurred in patients with positive margins, all of whom received postoperative RT. Breast-conserving surgery is the treatment of choice for patients with ACC breast cancer. Axillary lymph node dissection or sentinel node biopsy might not be recommended. Postoperative RT should be proposed in the case of breast-conserving surgery. Copyright © 2012 Elsevier Inc. All rights reserved.

  16. Genome-wide identification of key modulators of gene-gene interaction networks in breast cancer.

    Science.gov (United States)

    Chiu, Yu-Chiao; Wang, Li-Ju; Hsiao, Tzu-Hung; Chuang, Eric Y; Chen, Yidong

    2017-10-03

    With the advances in high-throughput gene profiling technologies, a large volume of gene interaction maps has been constructed. A higher-level layer of gene-gene interaction, namely modulate gene interaction, is composed of gene pairs of which interaction strengths are modulated by (i.e., dependent on) the expression level of a key modulator gene. Systematic investigations into the modulation by estrogen receptor (ER), the best-known modulator gene, have revealed the functional and prognostic significance in breast cancer. However, a genome-wide identification of key modulator genes that may further unveil the landscape of modulated gene interaction is still lacking. We proposed a systematic workflow to screen for key modulators based on genome-wide gene expression profiles. We designed four modularity parameters to measure the ability of a putative modulator to perturb gene interaction networks. Applying the method to a dataset of 286 breast tumors, we comprehensively characterized the modularity parameters and identified a total of 973 key modulator genes. The modularity of these modulators was verified in three independent breast cancer datasets. ESR1, the encoding gene of ER, appeared in the list, and abundant novel modulators were illuminated. For instance, a prognostic predictor of breast cancer, SFRP1, was found the second modulator. Functional annotation analysis of the 973 modulators revealed involvements in ER-related cellular processes as well as immune- and tumor-associated functions. Here we present, as far as we know, the first comprehensive analysis of key modulator genes on a genome-wide scale. The validity of filtering parameters as well as the conservativity of modulators among cohorts were corroborated. Our data bring new insights into the modulated layer of gene-gene interaction and provide candidates for further biological investigations.

  17. Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis

    Science.gov (United States)

    Lo, Joseph Y.; Land, Walker H., Jr.; Morrison, Clayton T.

    2000-06-01

    An evolutionary programming (EP) technique was investigated to reduce the complexity of artificial neural network (ANN) models that predict the outcome of mammography-induced breast biopsy. By combining input variables consisting of mammography lesion descriptors and patient history data, the ANN predicted whether the lesion was benign or malignant, which may aide in reducing the number of unnecessary benign biopsies and thus the cost of mammography screening of breast cancer. The EP has the ability to optimize the ANN both structurally and parametrically. An EP was partially optimized using a data set of 882 biopsy-proven cases from Duke University Medical Center. Although many different architectures were evolved, the best were often perceptrons with no hidden nodes. A rank ordering of the inputs was performed using twenty independent EP runs. This confirmed the predictive value of the mass margin and patient age variables, and revealed the unexpected usefulness of the history of previous breast cancer. Further work is required to improve the performance of the EP over all cases in general and calcification cases in particular.

  18. Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk

    Science.gov (United States)

    Oustimov, Andrew; Gastounioti, Aimilia; Hsieh, Meng-Kang; Pantalone, Lauren; Conant, Emily F.; Kontos, Despina

    2017-03-01

    We assess the feasibility of a parenchymal texture feature fusion approach, utilizing a convolutional neural network (ConvNet) architecture, to benefit breast cancer risk assessment. Hypothesizing that by capturing sparse, subtle interactions between localized motifs present in two-dimensional texture feature maps derived from mammographic images, a multitude of texture feature descriptors can be optimally reduced to five meta-features capable of serving as a basis on which a linear classifier, such as logistic regression, can efficiently assess breast cancer risk. We combine this methodology with our previously validated lattice-based strategy for parenchymal texture analysis and we evaluate the feasibility of this approach in a case-control study with 424 digital mammograms. In a randomized split-sample setting, we optimize our framework in training/validation sets (N=300) and evaluate its descriminatory performance in an independent test set (N=124). The discriminatory capacity is assessed in terms of the the area under the curve (AUC) of the receiver operator characteristic (ROC). The resulting meta-features exhibited strong classification capability in the test dataset (AUC = 0.90), outperforming conventional, non-fused, texture analysis which previously resulted in an AUC=0.85 on the same case-control dataset. Our results suggest that informative interactions between localized motifs exist and can be extracted and summarized via a fairly simple ConvNet architecture.

  19. Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.

    Science.gov (United States)

    Wang, Jeff; Kato, Fumi; Yamashita, Hiroko; Baba, Motoi; Cui, Yi; Li, Ruijiang; Oyama-Manabe, Noriko; Shirato, Hiroki

    2017-04-01

    Breast cancer is the most common invasive cancer among women and its incidence is increasing. Risk assessment is valuable and recent methods are incorporating novel biomarkers such as mammographic density. Artificial neural networks (ANN) are adaptive algorithms capable of performing pattern-to-pattern learning and are well suited for medical applications. They are potentially useful for calibrating full-field digital mammography (FFDM) for quantitative analysis. This study uses ANN modeling to estimate volumetric breast density (VBD) from FFDM on Japanese women with and without breast cancer. ANN calibration of VBD was performed using phantom data for one FFDM system. Mammograms of 46 Japanese women diagnosed with invasive carcinoma and 53 with negative findings were analyzed using ANN models learned. ANN-estimated VBD was validated against phantom data, compared intra-patient, with qualitative composition scoring, with MRI VBD, and inter-patient with classical risk factors of breast cancer as well as cancer status. Phantom validations reached an R 2 of 0.993. Intra-patient validations ranged from R 2 of 0.789 with VBD to 0.908 with breast volume. ANN VBD agreed well with BI-RADS scoring and MRI VBD with R 2 ranging from 0.665 with VBD to 0.852 with breast volume. VBD was significantly higher in women with cancer. Associations with age, BMI, menopause, and cancer status previously reported were also confirmed. ANN modeling appears to produce reasonable measures of mammographic density validated with phantoms, with existing measures of breast density, and with classical biomarkers of breast cancer. FFDM VBD is significantly higher in Japanese women with cancer.

  20. 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 ...

  1. Inflammatory Breast Cancer

    Science.gov (United States)

    ... breast cancer correctly. Their recommendations are summarized below. Minimum criteria for a diagnosis of inflammatory breast cancer ... Initial biopsy samples from the affected breast show invasive carcinoma. Further examination of tissue from the affected ...

  2. 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 ...

  3. Diagnosis of Breast Cancer using a Combination of Genetic Algorithm and Artificial Neural Network in Medical Infrared Thermal Imaging

    Directory of Open Access Journals (Sweden)

    Hossein Ghayoumi zadeh

    2013-03-01

    Full Text Available Introduction This study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. The medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. By analyzing this information, the best diagnostic parameters among the available parameters are selected and its sensitivity and precision in cancer diagnosis is improved by utilizing genetic algorithm and artificial neural network. Materials and Methods In this research, the necessary information is obtained from thermal imaging of 200 people, and 8 diagnostic parameters are extracted from these images by the research team. Then these 8 parameters are used as input of our proposed combinatorial model which is formed using artificial neural network and genetic algorithm. Results Our results have revealed that comparison of the breast areas; thermal pattern and kurtosis are the most important parameters in breast cancer diagnosis from proposed medical infrared imaging. The proposed combinatorial model with a 50% sensitivity, 75% specificity and, 70% accuracy shows good precision in cancer diagnosis. Conclusion The main goal of this article is to describe the capability of infrared imaging in preliminary diagnosis of breast cancer. This method is beneficial to patients with and without symptoms. The results indicate that the proposed combinatorial model produces optimum and efficacious parameters in comparison to other parameters and can improve the capability and power of globalizing the artificial neural network. This will help physicians in more accurate diagnosis of this type of cancer.

  4. Adherence Patterns to National Comprehensive Cancer Network Guidelines for Referral of Women With Breast Cancer to Genetics Professionals.

    Science.gov (United States)

    Stuckey, Ashley; Febbraro, Terri; Laprise, Jessica; Wilbur, Jennifer S; Lopes, Vrishali; Robison, Katina

    2016-08-01

    Genetic predisposition is responsible for 5% to 10% of breast cancer. The National Comprehensive Cancer Network (NCCN) established guidelines delineating appropriate candidates for genetic counseling. This study aims to determine referral patterns for genetic counseling in women who met such guidelines. Utilizing an institutional tumor registry, patients from an academic oncology program who met a subset of NCCN guidelines for genetic referrals between 2004 and 2010 were identified (breast cancer diagnosis ≤50 y without a known BRCA mutation). A retrospective chart review was conducted. Statistics were analyzed using SAS version 9.2. A total of 314 patients were identified and 107 (34.1%) were referred for genetic counseling. Median age at diagnosis was younger for those referred versus not referred (43 and 46 y; PWomen were more likely referred with a family history suspicious for an inherited cancer syndrome (67.3% vs. 36.2%; Pwomen referred. Those patients who choose prophylactic contralateral mastectomy were likely to have been referred for genetic counseling (63.6% vs. 36.4%, Pwomen who meet NCCN referral guidelines. Age and family history were noted to be predictive of referral for genetic evaluation. Further research is needed to determine additional factors that may impact not only referral rates but subsequent care for women with possible genetic predispositions to cancer.

  5. Imaging male breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Doyle, S., E-mail: sdoyle2@nhs.net [Primrose Breast Care Unit, Derriford Hospital, Plymouth (United Kingdom); Steel, J.; Porter, G. [Primrose Breast Care Unit, Derriford Hospital, Plymouth (United Kingdom)

    2011-11-15

    Male breast cancer is rare, with some pathological and radiological differences from female breast cancer. There is less familiarity with the imaging appearances of male breast cancer, due to its rarity and the more variable use of preoperative imaging. This review will illustrate the commonest imaging appearances of male breast cancer, with emphasis on differences from female breast cancer and potential pitfalls in diagnosis, based on a 10 year experience in our institution.

  6. Breast cancer cell nuclei classification in histopathology images using deep neural networks.

    Science.gov (United States)

    Feng, Yangqin; Zhang, Lei; Yi, Zhang

    2018-02-01

    Cell nuclei classification in breast cancer histopathology images plays an important role in effective diagnose since breast cancer can often be characterized by its expression in cell nuclei. However, due to the small and variant sizes of cell nuclei, and heavy noise in histopathology images, traditional machine learning methods cannot achieve desirable recognition accuracy. To address this challenge, this paper aims to present a novel deep neural network which performs representation learning and cell nuclei recognition in an end-to-end manner. The proposed model hierarchically maps raw medical images into a latent space in which robustness is achieved by employing a stacked denoising autoencoder. A supervised classifier is further developed to improve the discrimination of the model by maximizing inter-subject separability in the latent space. The proposed method involves a cascade model which jointly learns a set of nonlinear mappings and a classifier from the given raw medical images. Such an on-the-shelf learning strategy makes obtaining discriminative features possible, thus leading to better recognition performance. Extensive experiments with benign and malignant breast cancer datasets are conducted to verify the effectiveness of the proposed method. Better performance was obtained when compared with other feature extraction methods, and higher recognition rate was achieved when compared with other seven classification methods. We propose an end-to-end DNN model for cell nuclei and non-nuclei classification of histopathology images. It demonstrates that the proposed method can achieve promising performance in cell nuclei classification, and the proposed method is suitable for the cell nuclei classification task.

  7. 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 ...

  8. Predicting Retweeting Behavior on Breast Cancer Social Networks: Network and Content Characteristics.

    Science.gov (United States)

    Kim, Eunkyung; Hou, Jiran; Han, Jeong Yeob; Himelboim, Itai

    2016-01-01

    This study explored how social media, especially Twitter, serves as a viable place for communicating about cancer. Using a 2-step analytic method that combined social network analysis and computer-aided content analysis, this study investigated (a) how different types of network structures explain retweeting behavior and (b) which types of tweets are retweeted and why some messages generate more interaction among users. The analysis revealed that messages written by users who had a higher number of followers, a higher level of personal influence over the interaction, and closer relationships and similarities with other users were retweeted. In addition, a tweet with a higher level of positive emotion was more likely to be retweeted, whereas a tweet with a higher level of tentative words was less likely to be retweeted. These findings imply that Twitter can be an effective tool for the dissemination of health information. Theoretical and practical implications for psychosocial interventions for people with health concerns are discussed.

  9. Formal modeling and analysis of ER-α associated Biological Regulatory Network in breast cancer

    Directory of Open Access Journals (Sweden)

    Samra Khalid

    2016-10-01

    Full Text Available Background Breast cancer (BC is one of the leading cause of death among females worldwide. The increasing incidence of BC is due to various genetic and environmental changes which lead to the disruption of cellular signaling network(s. It is a complex disease in which several interlinking signaling cascades play a crucial role in establishing a complex regulatory network. The logical modeling approach of René Thomas has been applied to analyze the behavior of estrogen receptor-alpha (ER-α associated Biological Regulatory Network (BRN for a small part of complex events that leads to BC metastasis. Methods A discrete model was constructed using the kinetic logic formalism and its set of logical parameters were obtained using the model checking technique implemented in the SMBioNet software which is consistent with biological observations. The discrete model was further enriched with continuous dynamics by converting it into an equivalent Petri Net (PN to analyze the logical parameters of the involved entities. Results In-silico based discrete and continuous modeling of ER-α associated signaling network involved in BC provides information about behaviors and gene-gene interaction in detail. The dynamics of discrete model revealed, imperative behaviors represented as cyclic paths and trajectories leading to pathogenic states such as metastasis. Results suggest that the increased expressions of receptors ER-α, IGF-1R and EGFR slow down the activity of tumor suppressor genes (TSGs such as BRCA1, p53 and Mdm2 which can lead to metastasis. Therefore, IGF-1R and EGFR are considered as important inhibitory targets to control the metastasis in BC. Conclusion The in-silico approaches allow us to increase our understanding of the functional properties of living organisms. It opens new avenues of investigations of multiple inhibitory targets (ER-α, IGF-1R and EGFR for wet lab experiments as well as provided valuable insights in the treatment of cancers

  10. Convergence with SEER database achieved by a breast cancer network: a longitudinal benchmark of 5-year relative survival.

    Science.gov (United States)

    Jacke, Christian O; Albert, Ute S; Reinhard, Iris; Kalder, Matthias

    2015-06-01

    To benchmark outcomes of a German breast cancer network with the Surveillance Epidemiology and End Results programme (SEER) of the USA from a longitudinal point of view. All women receiving primary breast cancer therapy of three hospitals in a rural district of Marburg-Biedenkopf (Germany) of time intervals 1996-1997 and 2003-2004 were used to define local benchmark objects. Data from SEER-programme contributed longitudinal benchmark objects from national level (1988-2004). All benchmark objects were compared with the time-fixed benchmark reference of SEER (2004). Stage distributions and 5-year relative survival ratios were combined to estimate standardized screening-, case-mix-, work-up-, treatment- and relative overall performance index. From the entry cohort of 877 German women, 97.7 % of the patients accounted for the institutional sample (N = 857) and 65.8 % accounted for the regional sample (N = 577). Stage distributions, relative survival ratios and indices of the German breast cancer network improved over time. Developed indices converged with SEER (2004). Effectiveness gap between one exemplary German breast cancer network and international benchmark defined by SEER has been closed. Reasons are manifold, and further research is recommended.

  11. Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data.

    Science.gov (United States)

    Sun, Wenqing; Tseng, Tzu-Liang Bill; Zhang, Jianying; Qian, Wei

    2017-04-01

    In this study we developed a graph based semi-supervised learning (SSL) scheme using deep convolutional neural network (CNN) for breast cancer diagnosis. CNN usually needs a large amount of labeled data for training and fine tuning the parameters, and our proposed scheme only requires a small portion of labeled data in training set. Four modules were included in the diagnosis system: data weighing, feature selection, dividing co-training data labeling, and CNN. 3158 region of interests (ROIs) with each containing a mass extracted from 1874 pairs of mammogram images were used for this study. Among them 100 ROIs were treated as labeled data while the rest were treated as unlabeled. The area under the curve (AUC) observed in our study was 0.8818, and the accuracy of CNN is 0.8243 using the mixed labeled and unlabeled data. Copyright © 2016. Published by Elsevier Ltd.

  12. Rare copy number variants observed in hereditary breast cancer cases disrupt genes in estrogen signaling and TP53 tumor suppression network.

    Directory of Open Access Journals (Sweden)

    Katri Pylkäs

    Full Text Available Breast cancer is the most common cancer in women in developed countries, and the contribution of genetic susceptibility to breast cancer development has been well-recognized. However, a great proportion of these hereditary predisposing factors still remain unidentified. To examine the contribution of rare copy number variants (CNVs in breast cancer predisposition, high-resolution genome-wide scans were performed on genomic DNA of 103 BRCA1, BRCA2, and PALB2 mutation negative familial breast cancer cases and 128 geographically matched healthy female controls; for replication an independent cohort of 75 similarly mutation negative young breast cancer patients was used. All observed rare variants were confirmed by independent methods. The studied breast cancer cases showed a consistent increase in the frequency of rare CNVs when compared to controls. Furthermore, the biological networks of the disrupted genes differed between the two groups. In familial cases the observed mutations disrupted genes, which were significantly overrepresented in cellular functions related to maintenance of genomic integrity, including DNA double-strand break repair (P = 0.0211. Biological network analysis in the two independent breast cancer cohorts showed that the disrupted genes were closely related to estrogen signaling and TP53 centered tumor suppressor network. These results suggest that rare CNVs represent an alternative source of genetic variation influencing hereditary risk for breast cancer.

  13. Rare copy number variants observed in hereditary breast cancer cases disrupt genes in estrogen signaling and TP53 tumor suppression network.

    Science.gov (United States)

    Pylkäs, Katri; Vuorela, Mikko; Otsukka, Meeri; Kallioniemi, Anne; Jukkola-Vuorinen, Arja; Winqvist, Robert

    2012-01-01

    Breast cancer is the most common cancer in women in developed countries, and the contribution of genetic susceptibility to breast cancer development has been well-recognized. However, a great proportion of these hereditary predisposing factors still remain unidentified. To examine the contribution of rare copy number variants (CNVs) in breast cancer predisposition, high-resolution genome-wide scans were performed on genomic DNA of 103 BRCA1, BRCA2, and PALB2 mutation negative familial breast cancer cases and 128 geographically matched healthy female controls; for replication an independent cohort of 75 similarly mutation negative young breast cancer patients was used. All observed rare variants were confirmed by independent methods. The studied breast cancer cases showed a consistent increase in the frequency of rare CNVs when compared to controls. Furthermore, the biological networks of the disrupted genes differed between the two groups. In familial cases the observed mutations disrupted genes, which were significantly overrepresented in cellular functions related to maintenance of genomic integrity, including DNA double-strand break repair (P = 0.0211). Biological network analysis in the two independent breast cancer cohorts showed that the disrupted genes were closely related to estrogen signaling and TP53 centered tumor suppressor network. These results suggest that rare CNVs represent an alternative source of genetic variation influencing hereditary risk for breast cancer.

  14. The updated network meta-analysis of neoadjuvant therapy for HER2-positive breast cancer.

    Science.gov (United States)

    Nakashoji, Ayako; Hayashida, Tetsu; Yokoe, Takamichi; Maeda, Hinako; Toyota, Tomoka; Kikuchi, Masayuki; Watanuki, Rurina; Nagayama, Aiko; Seki, Tomoko; Takahashi, Maiko; Abe, Takayuki; Kitagawa, Yuko

    2018-01-01

    We previously described a systematic assessment of the neoadjuvant therapies for human epidermal growth factor receptor-2 (HER2) positive breast cancer, using network meta-analysis. Accumulation of new clinical data has compelled us to update the analysis. Randomized trials comparing different anti-HER2 regimens in the neoadjuvant setting were included, and odds ratio for pathologic complete response (pCR) in seven treatment arms were assessed by pooling effect sizes. Direct and indirect comparisons using a Bayesian statistical model were performed. All statistical tests were two-sided. A database search identified 993 articles with 13 studies meeting the eligibility criteria, including three new studies with lapatinib (lpnb). In an indirect comparison, dual anti-HER2 agents with CT achieved a better pCR rate than other arms. The credibility intervals of CT + tzmb + lpnb arm were largely reduced compared to our former report, which we added sufficient clinical evidence by this update. Values of surface under the cumulative ranking (SUCRA) suggested that CT + tzmb + pzmb had the highest probability of being the best treatment arm for pCR, widening the difference between the top two dual-HER2 blockade arms compared to our former report. The overall consistency with our first report enhanced the credibility of the results. Network meta-analysis using new clinical data firmly establish that combining two anti-HER2 agents with CT is most effective against HER2-positive breast cancer in the neoadjuvant setting. New pzmb related trials are required to fully determine the best neoadjuvant dual-HER2 blockade regimen. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. Beating Breast Cancer

    Science.gov (United States)

    ... of this page please turn JavaScript on. Feature: Breast Cancer Beating Breast Cancer Past Issues / Winter 2017 Table of Contents Melanie ... Her mother had died at age 49 of breast cancer after three battles with the disease. Ovarian cancer ...

  16. Tamoxifen for Breast Cancer

    Directory of Open Access Journals (Sweden)

    A Karn

    2010-03-01

    Full Text Available Breast cancer is one of the common cancers. Hormonal therapy along with surgery, chemotherapy, radiotherapy and targeted therapy are vital modalities for the management of breast cancer. Tamoxifen has been the most widely used hormonal therapy for more than two decades. In this article we review the benefits, dose, duration and timing of Tamoxifen therapy in patients with breast cancer. Keywords: breast cancer, hormonal therapy, tamoxifen.

  17. A modulated empirical Bayes model for identifying topological and temporal estrogen receptor α regulatory networks in breast cancer

    Directory of Open Access Journals (Sweden)

    Zhao Yuming

    2011-05-01

    Full Text Available Abstract Background Estrogens regulate diverse physiological processes in various tissues through genomic and non-genomic mechanisms that result in activation or repression of gene expression. Transcription regulation upon estrogen stimulation is a critical biological process underlying the onset and progress of the majority of breast cancer. Dynamic gene expression changes have been shown to characterize the breast cancer cell response to estrogens, the every molecular mechanism of which is still not well understood. Results We developed a modulated empirical Bayes model, and constructed a novel topological and temporal transcription factor (TF regulatory network in MCF7 breast cancer cell line upon stimulation by 17β-estradiol stimulation. In the network, significant TF genomic hubs were identified including ER-alpha and AP-1; significant non-genomic hubs include ZFP161, TFDP1, NRF1, TFAP2A, EGR1, E2F1, and PITX2. Although the early and late networks were distinct ( Conclusions We identified a number of estrogen regulated target genes and established estrogen-regulated network that distinguishes the genomic and non-genomic actions of estrogen receptor. Many gene targets of this network were not active anymore in anti-estrogen resistant cell lines, possibly because their DNA methylation and histone acetylation patterns have changed.

  18. 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. ...

  19. HEREDITARY BREAST CANCER

    Directory of Open Access Journals (Sweden)

    E. M. Bit-Sava

    2013-01-01

    Full Text Available Hereditary breast cancer occurs in 5–20 % of cases and it is associated with inherited mutations in particular genes, such as BRCA1 и BRCA2 in most cases. The CHEK2, PTEN, TP53, ATM, RAD51, BLM, PALB2, Nbs genes are associated with low and median risks ofdeveloping breast cancer. Molecular genetic studies identify germinal mutations underlying hereditary breast cancer. In most cases hereditary breast cancer refers to triple-negative phenotype, which is the most aggressive type of breast cancer, that does not express the genes for estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 (HER2. The review presents the diagnostic and treatment methods of hereditary breast cancer. Clinical-morphological aspects allow the new diagnostic and treatment methods of hereditary breast cancer to be identified. Poly (ADP-ribose polymerase (PARP inhibitors demonstrate the potential for effective treatment of BRCA-associated breast cancer.

  20. Determination of breast cancer response to bevacizumab therapy using contrast-enhanced ultrasound and artificial neural networks.

    Science.gov (United States)

    Hoyt, Kenneth; Warram, Jason M; Umphrey, Heidi; Belt, Lin; Lockhart, Mark E; Robbin, Michelle L; Zinn, Kurt R

    2010-04-01

    The purpose of this study was to evaluate contrast-enhanced ultrasound and neural network data classification for determining the breast cancer response to bevacizumab therapy in a murine model. An ultrasound scanner operating in the harmonic mode was used to measure ultrasound contrast agent (UCA) time-intensity curves in vivo. Twenty-five nude athymic mice with orthotopic breast cancers received a 30-microL tail vein bolus of a perflutren microsphere UCA, and baseline tumor imaging was performed using microbubble destruction-replenishment techniques. Subsequently, 15 animals received a 0.2-mg injection of bevacizumab, whereas 10 control animals received an equivalent dose of saline. Animals were reimaged on days 1, 2, 3, and 6 before euthanasia. Histologic assessment of excised tumor sections was performed. Time-intensity curve analysis for a given region of interest was conducted using customized software. Tumor perfusion metrics on days 1, 2, 3, and 6 were modeled using neural network data classification schemes (60% learning and 40% testing) to predict the breast cancer response to therapy. The breast cancer response to a single dose of bevacizumab in a murine model was immediate and transient. Permutations of input to the neural network data classification scheme revealed that tumor perfusion data within 3 days of bevacizumab dosing was sufficient to minimize the prediction error to 10%, whereas measurements of physical tumor size alone did not appear adequate to assess the therapeutic response. Contrast-enhanced ultrasound may be a useful tool for determining the response to bevacizumab therapy and monitoring the subsequent restoration of blood flow to breast cancer.

  1. Breast Cancer and Infertility

    Directory of Open Access Journals (Sweden)

    Guluzar Arzu Turan

    2015-09-01

    Full Text Available Breast cancer is the most common malignancy among women and may accompany infertility. The relationship between infertility treatment and breast cancer has not yet been proven. However, estrogen exposure is well known to cause breast cancer. Recent advances in treatment options have provided young patients with breast cancer a chance of being mother [Archives Medical Review Journal 2015; 24(3.000: 317-323

  2. 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 ...

  3. Involvement of Different networks in mammary gland involution after the pregnancy/lactation cycle: Implications in breast cancer.

    Science.gov (United States)

    Zaragozá, Rosa; García-Trevijano, Elena R; Lluch, Ana; Ribas, Gloria; Viña, Juan R

    2015-04-01

    Early pregnancy is associated with a reduction in a woman's lifetime risk for breast cancer. However, different studies have demonstrated an increase in breast cancer risk in the years immediately following pregnancy. Early and long-term risk is even higher if the mother age is above 35 years at the time of first parity. The proinflammatory microenvironment within the mammary gland after pregnancy renders an "ideal niche" for oncogenic events. Signaling pathways involved in programmed cell death and tissue remodeling during involution are also activated in breast cancer. Herein, the major signaling pathways involved in mammary gland involution, signal transducer and activator of transcription (STAT3), nuclear factor-kappa B (NF-κB), transforming growth factor beta (TGFβ), and retinoid acid receptors (RARs)/retinoid X receptors (RXRs), are reviewed as part of the complex network of signaling pathways that crosstalk in a contextual-dependent manner. These factors, also involved in breast cancer development, are important regulatory nodes for signaling amplification after weaning. Indeed, during involution, p65/p300 target genes such as MMP9, Capn1, and Capn2 are upregulated. Elevated expression and activities of these proteases in breast cancer have been extensively documented. The role of these proteases during mammary gland involution is further discussed. MMPs, calpains, and cathepsins exert their effect by modification of the extracellular matrix and intracellular proteins. Calpains, activated in the mammary gland during involution, cleave several proteins located in cell membrane, lysosomes, mitochondria, and nuclei favoring cell death. Besides, during this period, Capn1 is most probably involved in the modulation of preadipocyte differentiation through chromatin remodeling. Calpains can be implicated in cell anchoring loss, providing a proper microenvironment for tumor growth. A better understanding of the role of any of these proteases in tumorigenesis may

  4. Transcriptional networks controlling breast cancer metastasis : molecular mechanisms shaping the SOX4 response

    NARCIS (Netherlands)

    Vervoort, S.J.

    2015-01-01

    Breast cancer is the most commonly diagnosed cancer in women. Despite great improvements in diagnosis and treatment of this disease, mortality remains high due to the development of metastatic disease resulting in clinical relapse. The majority of current treatment options primarily target the

  5. Screening for Breast Cancer.

    Science.gov (United States)

    Niell, Bethany L; Freer, Phoebe E; Weinfurtner, Robert Jared; Arleo, Elizabeth Kagan; Drukteinis, Jennifer S

    2017-11-01

    The goal of screening is to detect breast cancers when still curable to decrease breast cancer-specific mortality. Breast cancer screening in the United States is routinely performed with mammography, supplemental digital breast tomosynthesis, ultrasound, and/or MR imaging. This article aims to review the most commonly used breast imaging modalities for screening, discuss how often and when to begin screening with specific imaging modalities, and examine the pros and cons of screening. By the article's end, the reader will be better equipped to have informed discussions with patients and medical professionals regarding the benefits and disadvantages of breast cancer screening. Copyright © 2017 Elsevier Inc. All rights reserved.

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

    Science.gov (United States)

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

    2010-02-01

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

  7. Breast asymmetry and predisposition to breast cancer

    OpenAIRE

    Scutt, D; Lancaster, GA; Manning, JT

    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 ...

  8. Reconstruction of pathway modification induced by nicotinamide using multi-omic network analyses in triple negative breast cancer

    OpenAIRE

    Kim, Ji Young; Lee, Hyebin; Woo, Jongmin; Yue, Wang; Kim, Kwangsoo; Choi, Seongmin; Jang, Ja-June; Kim, Youngsoo; Park, In Ae; Han, Dohyun; Ryu, Han Suk

    2017-01-01

    Triple negative breast cancer (TNBC) is characterized by an aggressive biological behavior in the absence of a specific target agent. Nicotinamide has recently been proven to be a novel therapeutic agent for skin tumors in an ONTRAC trial. We performed combinatory transcriptomic and in-depth proteomic analyses to characterize the network of molecular interactions in TNBC cells treated with nicotinamide. The multi-omic profiles revealed that nicotinamide drives significant functional alteratio...

  9. 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 ...

  10. Comparison of the performance of log-logistic regression and artificial neural networks for predicting breast cancer relapse.

    Science.gov (United States)

    Faradmal, Javad; Soltanian, Ali Reza; Roshanaei, Ghodratollah; Khodabakhshi, Reza; Kasaeian, Amir

    2014-01-01

    Breast cancer is the most common cancers in female populations. The exact cause is not known, but is most likely to be a combination of genetic and environmental factors. Log-logistic model (LLM) is applied as a statistical method for predicting survival and it influencing factors. In recent decades, artificial neural network (ANN) models have been increasingly applied to predict survival data. The present research was conducted to compare log-logistic regression and artificial neural network models in prediction of breast cancer (BC) survival. A historical cohort study was established with 104 patients suffering from BC from 1997 to 2005. To compare the ANN and LLM in our setting, we used the estimated areas under the receiver-operating characteristic (ROC) curve (AUC) and integrated AUC (iAUC). The data were analyzed using R statistical software. The AUC for the first, second and third years after diagnosis are 0.918, 0.780 and 0.800 in ANN, and 0.834, 0.733 and 0.616 in LLM, respectively. The mean AUC for ANN was statistically higher than that of the LLM (0.845 vs. 0.744). Hence, this study showed a significant difference between the performance in terms of prediction by ANN and LLM. This study demonstrated that the ability of prediction with ANN was higher than with the LLM model. Thus, the use of ANN method for prediction of survival in field of breast cancer is suggested.

  11. breast cancer screening in

    African Journals Online (AJOL)

    Is Breast transillumination a viable option for breast cancer screening in limited resource settings? Authors: Elobu EA M.Med, Galukande M M M.Med, MSc, FCS, Namuguzi D M.Med, Muyinda Z M.Med. Affiliations: breast cancer screening in limited resource settings? Authors: Elobu EA1 M.Med, Galukande M1 M M.Med, ...

  12. Metaplastic Breast Cancer

    OpenAIRE

    T?rkan, Halil; G?kg?z, M. ?ehsuvar; Parlak, N. Serhat

    2016-01-01

    Metaplastic Breast Cancer (MBC) is a term referring to a heterogeneous group with malignant epithelial and mesenchymal tissue components. MBC is a rare disease, accounting for 0.2% of all breast cancers. Most MBC are triple negative cancers with poor prognosis and an aggressive clinical course. Herein, we aimed to present a 74-year-old patient with metaplastic breast cancer along with clinical, radiologic and pathologic properties.

  13. Lifestyle behaviors of African American breast cancer survivors: a Sisters Network, Inc. study.

    Directory of Open Access Journals (Sweden)

    Raheem J Paxton

    Full Text Available African American breast cancer survivors experience poor cancer outcomes that may, in part, be remedied by healthy lifestyle choices. Few studies have evaluated the health and lifestyle behaviors of this population. The purpose of this study was to characterize the health and lifestyle habits of African American breast cancer survivors and evaluate the socio-demographic and medical correlates of these behaviors.A total of 470 African American breast cancer survivors (mean age = 54 years participated in an online survey. All participants completed measures assessing medical and demographic characteristics, physical activity, and sedentary behavior. Chi-square tests for association, nonparametric tests, and logistic regression models were used to assess associations. All statistical tests were two sided.Almost half (47% of the women met the current guidelines for physical activity, almost half (47% were obese, and many reported having high blood pressure (53% or diabetes (21%. The prevalence of high blood pressure, diabetes, and high cholesterol increased by age (P<0.001, and obese women had a higher prevalence of high blood pressure (63% vs. 44% and diabetes (21% vs. 12% than did non-obese women (all P<0.05. Obese women participated in significantly fewer total minutes of physical activity per week (100 minutes/week than did non-obese women (150 minutes/week; P<0.05. The number of comorbid conditions was associated with increased odds for physical inactivity (odds ratio = 1.40 and obesity (odds ratio = 2.22.Many African American breast cancer survivors had chronic conditions that may be exacerbated by poor lifestyle choices. Our results also provide evidence that healthy lifestyle interventions among obese African American breast cancer survivors are urgently needed.

  14. 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 ...

  15. [Breast cancer surgery].

    Science.gov (United States)

    Vlastos, Georges; Berclaz, Gilles; Langer, Igor; Pittet-Cuenod, Brigitte; Delaloye, Jean-François

    2007-10-24

    Breast conserving surgery followed by radiation therapy is the treatment of choice for early breast cancer. For patients who choice or need a mastectomy, breast reconstruction provides an acceptable alternative. Breast cancer surgery has been evolving through minimally invasive approaches. Sentinel node biopsy has already remplaced axillary lymph node dissection in the evaluation of the axilla. Local ablation of the tumor may be a valuable alternative to surgery in the future.

  16. 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 ...

  17. 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 ...

  18. Molecular imaging of breast cancer

    NARCIS (Netherlands)

    Munnink, T. H. Oude; Nagengast, W. B.; Brouwers, A. H.; Schroder, C. P.; Hospers, G. A.; Lub-de Hooge, M. N.; van der Wall, E.; van Diest, P. J.; de Vries, E. G. E.

    2009-01-01

    Molecular imaging of breast cancer can potentially be used for breast cancer screening, staging, restaging, response evaluation and guiding therapies. Techniques for molecular breast cancer imaging include magnetic resonance imaging (MRI), optical imaging, and radionuclide imaging with positron

  19. Detection of breast cancer using advanced techniques of data mining with neural networks; Deteccion de cancer de mama usando tecnicas avanzadas de mineria de datos con redes neuronales

    Energy Technology Data Exchange (ETDEWEB)

    Ortiz M, J. A.; Celaya P, J. M.; Martinez B, M. R.; Solis S, L. O.; Castaneda M, R.; Garza V, I.; Martinez F, M.; Lopez H, Y.; Ortiz R, J. M. [Universidad Autonoma de Zacatecas, Av. Ramon Lopez Velarde 801, Col. Centro, 98000 Zacatecas, Zac. (Mexico)

    2016-10-15

    The breast cancer is one of the biggest health problems worldwide, is the most diagnosed cancer in women and prevention seems impossible since its cause is unknown, due to this; the early detection has a key role in the patient prognosis. In developing countries such as Mexico, where access to specialized health services is minimal, the regular clinical review is infrequent and there are not enough radiologists; the most common form of detection of breast cancer is through self-exploration, but this is only detected in later stages, when is already palpable. For these reasons, the objective of the present work is the creation of a system of computer assisted diagnosis (CAD x) using information analysis techniques such as data mining and advanced techniques of artificial intelligence, seeking to offer a previous medical diagnosis or a second opinion, as if it was a second radiologist in order to reduce the rate of mortality from breast cancer. In this paper, advances in the design of computational algorithms using computer vision techniques for the extraction of features derived from mammograms are presented. Using data mining techniques of data mining is possible to identify patients with a high risk of breast cancer. With the information obtained from the mammography analysis, the objective in the next stage will be to establish a methodology for the generation of imaging bio-markers to establish a breast cancer risk index for Mexican patients. In this first stage we present results of the classification of patients with high and low risk of suffering from breast cancer using neural networks. (Author)

  20. Breast cancer predisposition syndromes.

    Science.gov (United States)

    Hemel, Deborah; Domchek, Susan M

    2010-10-01

    A small, but important, percentage of breast cancer cases is caused by the inheritance of a single copy of a mutated gene. BRCA1 and BRCA2 are the genes most commonly associated with inherited breast cancer; however, mutations in TP53 and PTEN cause Li-Fraumeni syndrome and Cowden syndrome, respectively, both of which are associated with high lifetime risks of breast cancer. Advances in the field of breast cancer genetics have led to an improved understanding of detection and prevention strategies. More recently, strategies to target the underlying genetic defects in BRCA1- and BRCA2-associated breast and ovarian cancers are emerging and may have implications for certain types of sporadic breast cancer. Copyright 2010 Elsevier Inc. All rights reserved.

  1. VEGF, HIF-1α expression and MVD as an angiogenic network in familial breast cancer.

    Science.gov (United States)

    Saponaro, Concetta; Malfettone, Andrea; Ranieri, Girolamo; Danza, Katia; Simone, Giovanni; Paradiso, Angelo; Mangia, Anita

    2013-01-01

    Angiogenesis, which plays an important role in tumor growth and progression of breast cancer, is regulated by a balance between pro- and anti-angiogenic factors. Expression of vascular endothelial growth factor (VEGF) is up-regulated during hypoxia by hypoxia-inducible factor-1α (HIF-1α). It is known that there is an interaction between HIF-1α and BRCA1 carrier cancers, but little has been reported about angiogenesis in BRCA1-2 carrier and BRCAX breast cancers. In this study, we investigated the expression of VEGF and HIF-1α and microvessel density (MVD) in 26 BRCA1-2 carriers and 58 BRCAX compared to 77 sporadic breast cancers, by immunohistochemistry. VEGF expression in BRCA1-2 carriers was higher than in BRCAX cancer tissues (p = 0.0001). Furthermore, VEGF expression was higher in both BRCA1-2 carriers and BRCAX than the sporadic group (p<0.0001). VEGF immunoreactivity was correlated with poor tumor grade (p = 0.0074), hormone receptors negativity (p = 0.0206, p = 0.0002 respectively), and MIB-1-labeling index (p = 0.0044) in familial cancers (BRCA1-2 and BRCAX). The percentage of nuclear HIF-1α expression was higher in the BRCA1-2 carriers than in BRCAX cancers (p<0.05), and in all familial than in sporadic tumor tissues (p = 0.0045). A higher MVD was observed in BRCA1-2 carrier than in BRCAX and sporadic cancer tissues (p = 0.002, p = 0.0001 respectively), and in all familial tumors than in sporadic tumors (p = 0.01). MVD was positively related to HIF-1α expression in BRCA1-2 carriers (r = 0.521, p = 0.006), and, in particular, we observed a highly significant correlation in the familial group (r = 0.421, p<0.0001). Our findings suggest that angiogenesis plays a crucial role in BRCA1-2 carrier breast cancers. Prospective studies in larger BRCA1-2 carrier series are needed to improve the best therapeutic strategies for this subgroup of breast cancer patients.

  2. Predicting two-year quality of life after breast cancer surgery using artificial neural network and linear regression models.

    Science.gov (United States)

    Shi, Hon-Yi; Tsai, Jinn-Tsong; Chen, Yao-Mei; Culbertson, Richard; Chang, Hong-Tai; Hou, Ming-Feng

    2012-08-01

    The purpose of this study was to validate the use of artificial neural network (ANN) models for predicting quality of life (QOL) after breast cancer surgery and to compare the predictive capability of ANNs with that of linear regression (LR) models. The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire and its supplementary breast cancer measure were completed by 402 breast cancer patients at baseline and at 2 years postoperatively. The accuracy of the system models were evaluated in terms of mean square error (MSE) and mean absolute percentage error (MAPE). A global sensitivity analysis was also performed to assess the relative significance of input parameters in the system model and to rank the variables in order of importance. Compared to the LR model, the ANN model generally had smaller MSE and MAPE values in both the training and testing datasets. Most ANN models had MAPE values ranging from 4.70 to 19.96 %, and most had high prediction accuracy. The ANN model also outperformed the LR model in terms of prediction accuracy. According to global sensitivity analysis, pre-operative functional status was the best predictor of QOL after surgery. Compared with the conventional LR model, the ANN model in the study was more accurate for predicting patient-reported QOL and had higher overall performance indices. Further refinements are expected to obtain sufficient performance improvements for its routine use in clinical practice as an adjunctive decision-making tool.

  3. Breast cancer statistics, 2013.

    Science.gov (United States)

    DeSantis, Carol; Ma, Jiemin; Bryan, Leah; Jemal, Ahmedin

    2014-01-01

    In this article, the American Cancer Society provides an overview of female breast cancer statistics in the United States, including data on incidence, mortality, survival, and screening. Approximately 232,340 new cases of invasive breast cancer and 39,620 breast cancer deaths are expected to occur among US women in 2013. One in 8 women in the United States will develop breast cancer in her lifetime. Breast cancer incidence rates increased slightly among African American women; decreased among Hispanic women; and were stable among whites, Asian Americans/Pacific Islanders, and American Indians/Alaska Natives from 2006 to 2010. Historically, white women have had the highest breast cancer incidence rates among women aged 40 years and older; however, incidence rates are converging among white and African American women, particularly among women aged 50 years to 59 years. Incidence rates increased for estrogen receptor-positive breast cancers in the youngest white women, Hispanic women aged 60 years to 69 years, and all but the oldest African American women. In contrast, estrogen receptor-negative breast cancers declined among most age and racial/ethnic groups. These divergent trends may reflect etiologic heterogeneity and the differing effects of some factors, such as obesity and parity, on risk by tumor subtype. Since 1990, breast cancer death rates have dropped by 34% and this decrease was evident in all racial/ethnic groups except American Indians/Alaska Natives. Nevertheless, survival disparities persist by race/ethnicity, with African American women having the poorest breast cancer survival of any racial/ethnic group. 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. © 2013 American Cancer Society, Inc.

  4. Computer-aided diagnosis of mammography using an artificial neural network: predicting the invasiveness of breast cancers from image features

    Science.gov (United States)

    Lo, Joseph Y.; Kim, Jeffrey; Baker, Jay A.; Floyd, Carey E., Jr.

    1996-04-01

    The study aim is to develop an artificial neural network (ANN) for computer-aided diagnosis of mammography. Using 9 mammographic image features and patient age, the ANN predicted whether breast lesions were benign, invasive malignant, or noninvasive malignant. Given only 97 malignant patients, the 3-layer backpropagation ANN successfully predicted the invasiveness of those breast cancers, performing with Az of 0.88 plus or minus 0.03. To determine more generalized clinical performance, a different ANN was developed using 266 consecutive patients (97 malignant, 169 benign). This ANN predicted whether those patients were benign or noninvasive malignant vs. invasive malignant with Az of 0.86 plus or minus 0.03. This study is unique because it is the first to predict the invasiveness of breast cancers using mammographic features and age. This knowledge, which was previously available only through surgical biopsy, may assist in the planning of surgical procedures for patients with breast lesions, and may help reduce the cost and morbidity associated with unnecessary surgical biopsies.

  5. Quality of Posttreatment Care Among Breast Cancer Survivors in the University of California Athena Breast Health Network (Athena).

    Science.gov (United States)

    Ganz, Patricia A; Hahn, Erin E; Petersen, Laura; Melisko, Michelle E; Pierce, John P; Von Friederichs-Fitzwater, Marlene; Lane, Karen T; Hiatt, Robert A

    2016-10-01

    Multiple oncology providers are involved in the initial breast cancer treatment. To better understand the patterns and quality of posttreatment breast cancer care, we surveyed patients who had been treated at each of the 5 University of California (UC) cancer centers. We identified breast cancer patients diagnosed in 2008-2009 from hospital tumor registries; invitations for the mailed survey on posttreatment care were sent between September 2011 and November 2012. The survey requested information on the number and type of provider visits, discussion of key topics, use of treatment summaries, and survivorship care plans (SCP). A total of 329 patients completed the survey. The mean age of respondents was 60.5 years, and they were 3.2 years since diagnosis (range, 1.6-4.8 years). A total of 82% had continued posttreatment care at a UC facility, and they reported high numbers of clinical follow-up visits, with an average of > 2 providers (range, 1-5). Surgery-only patients reported an average of 4 to 5 office visits a year; patients who received surgery, radiation, and chemotherapy reported 5 to 6 office visits a year. Overall, 45% of women reported receiving a treatment summary; receipt of a SCP was reported by 59%, occurring significantly more often among those in follow-up at a UC (P = .004). Patients reported visits to multiple providers during their follow-up care, in excess of what is recommended by current guidelines. This was in spite of many women reporting that they had received a SCP. Copyright © 2016 Elsevier Inc. All rights reserved.

  6. Neuroendocrine breast cancer.

    Science.gov (United States)

    Graça, Susana; Esteves, Joana; Costa, Sílvia; Vale, Sílvio; Maciel, Jorge

    2012-08-13

    Neuroendocrine breast cancer is thought to account for about 1% of all breast cancers. This rare type of breast malignancy is more common in older women and presents as a low-grade, slow-growing cancer. The most definitive markers that indicate neuroendocrine carcinoma are the presence of chromogranin, synaptophysin or neuron-specific enolase, in at least 50% of malignant tumour cells. The authors present a case report of an 83-year-old woman, admitted to their institution with right breast lump. Physical examination, mammography and ultrasonography showed a 2.4 cm nodule, probably a benign lesion (BI-RADS 3). A fine needle aspiration biopsy was performed and revealed proliferative epithelial papillary lesion. She was submitted to excisional biopsy and histology showed endocrine breast cancer well differentiated (G1). Immunohistochemically, tumour cells were positive for synaptophysin. These breast cancers are characterised for their excellent prognosis and conservative treatment is almost always enough to obtain patient cure.

  7. Post-diagnosis social networks, and lifestyle and treatment factors in the After Breast Cancer Pooling Project.

    Science.gov (United States)

    Kroenke, Candyce H; Michael, Yvonne L; Shu, Xiao-Ou; Poole, Elizabeth M; Kwan, Marilyn L; Nechuta, Sarah; Caan, Bette J; Pierce, John P; Chen, Wendy Y

    2017-04-01

    Larger social networks have been associated with better breast cancer survival. To investigate potential mediators, we evaluated associations of social network size and diversity with lifestyle and treatment factors associated with prognosis. We included 9331 women from the After Breast Cancer Pooling Project who provided data on social networks within approximately two years following diagnosis. A social network index was derived from information about the presence of a spouse or intimate partner, religious ties, community participation, friendship ties, and numbers of living relatives. Diversity was assessed as variety of ties, independent of size. We used logistic regression to evaluate associations with outcomes and evaluated whether effect estimates differed using meta-analytic techniques. Associations were similar across cohorts though analyses of smoking and alcohol included US cohorts only because of low prevalence of these behaviors in the Shanghai cohort. Socially isolated women were more likely to be obese (OR = 1.21, 95% CI:1.03-1.42), have low physical activity (socially integrated women. Among node positive cases from three cohorts, socially isolated women were more likely not to receive chemotherapy (OR = 2.10, 95% CI:1.30-3.39); associations differed in a fourth cohort. Other associations (nonsignificant) were consistent with less intensive treatment in socially isolated women. Low social network diversity was independently associated with more adverse lifestyle, but not clinical, factors. Small, less diverse social networks measured post-diagnosis were associated with more adverse lifestyle factors and less intensive cancer treatment. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  8. Increasing Breast Cancer Surveillance Among African American Breast Cancer Survivors

    Science.gov (United States)

    2010-01-01

    one or both breasts were affected. Family Member (e.g. grandmother, aunt) Paternal or Maternal Type or Location of Cancer (e.g. breast ...Local recurrences and distant metastases after breast -conserving surgery and radiation therapy for early breast cancer . Int J Radiat Oncol Biol Phys...AD_________________ AWARD NUMBER: DAMD17-03-1-0454 TITLE: Increasing Breast Cancer Surveillance

  9. Population-based breast cancer screening in a primary care network.

    Science.gov (United States)

    Atlas, Steven J; Ashburner, Jeffrey M; Chang, Yuchiao; Lester, William T; Barry, Michael J; Grant, Richard W

    2012-12-01

    To assess the ability of a health information technology system to facilitate population- based breast cancer screening. Cohort study with 2-year follow-up after a 1-year cluster randomized trial. Study population was women 42 to 69 years old receiving care within a 12-practice primary care network. The management informatics system (1) identified women overdue for mammograms, (2) connected them to primary care providers using a web-based tool, (3) created automatically generated outreach letters for patients specified by providers, (4) monitored for subsequent mammography scheduling and completion, and (5) provided practice delegates with a list of women remaining unscreened for reminder phone calls. Eligible women overdue for a mammogram during a 1-year study period included those overdue at study start (prevalent cohort) and those who became overdue during follow-up (incident cohort). The main outcome measure was mammography completion rates over 3 years. Among 32,688 eligible women, 9795 (30%) were overdue for screening (4487 intervention, 5308 control). Intervention patients were somewhat younger, more likely to be non-Hispanic white, and more likely to have health insurance compared with control patients. Adjusted completion rates in the prevalent cohort (n = 6697) were significantly higher among intervention patients after 3 years (51.7% vs 45.8%; P = .002). For patients in the incident cohort (n = 3098), adjusted completion rates after 2 years were 53.8% versus 48.7%, respectively (P = .052). Population-based informatics systems can enable sustained increases in mammography screening rates beyond rates seen with office-based visit reminders.

  10. Other Considerations for Pregnancy and Breast Cancer

    Science.gov (United States)

    ... first 3 months of pregnancy . Other Information About Pregnancy and Breast Cancer Key Points Lactation (breast milk production) and breast- ... has had breast cancer. To Learn More About Breast Cancer and Pregnancy For more information from the National Cancer Institute ...

  11. General Information about Breast Cancer and Pregnancy

    Science.gov (United States)

    ... first 3 months of pregnancy . Other Information About Pregnancy and Breast Cancer Key Points Lactation (breast milk production) and breast- ... has had breast cancer. To Learn More About Breast Cancer and Pregnancy For more information from the National Cancer Institute ...

  12. 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 ...

  13. Propranolol and survival from breast cancer

    DEFF Research Database (Denmark)

    Cardwell, Chris R; Pottegård, Anton; Vaes, Evelien

    2016-01-01

    BACKGROUND: Preclinical studies have demonstrated that propranolol inhibits several pathways involved in breast cancer progression and metastasis. We investigated whether breast cancer patients who used propranolol, or other non-selective beta-blockers, had reduced breast cancer-specific or all......-cause mortality in eight European cohorts. METHODS: Incident breast cancer patients were identified from eight cancer registries and compiled through the European Cancer Pharmacoepidemiology Network. Propranolol and non-selective beta-blocker use was ascertained for each patient. Breast cancer-specific and all......-cause mortality were available for five and eight cohorts, respectively. Cox regression models were used to calculate hazard ratios (HR) and 95% confidence intervals (CIs) for cancer-specific and all-cause mortality by propranolol and non-selective beta-blocker use. HRs were pooled across cohorts using meta...

  14. BREAST CANCER AND EXERCISE

    Science.gov (United States)

    2008-03-19

    Prevent Osteoporosis and Osteoporotic Fractures; Improve Quality of Life; Improve Weight Control, and Muscular and Cardiovascular Fitness; Help the Patients to Return to Working Life; Reduce the Risk of Breast Cancer Recurrence; Prevent Other Diseases and Reduce All-Cause Mortality in Patients With Primary Breast Cancer.

  15. Male breast cancer

    DEFF Research Database (Denmark)

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

    2017-01-01

    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...

  16. Podoplanin increases the migration of human fibroblasts and affects the endothelial cell network formation: A possible role for cancer-associated fibroblasts in breast cancer progression.

    Science.gov (United States)

    Suchanski, Jaroslaw; Tejchman, Anna; Zacharski, Maciej; Piotrowska, Aleksandra; Grzegrzolka, Jedrzej; Chodaczek, Grzegorz; Nowinska, Katarzyna; Rys, Janusz; Dziegiel, Piotr; Kieda, Claudine; Ugorski, Maciej

    2017-01-01

    In our previous studies we showed that in breast cancer podoplanin-positive cancer-associated fibroblasts correlated positively with tumor size, grade of malignancy, lymph node metastasis, lymphovascular invasion and poor patients' outcome. Therefore, the present study was undertaken to assess if podoplanin expressed by fibroblasts can affect malignancy-associated properties of breast cancer cells. Human fibroblastic cell lines (MSU1.1 and Hs 578Bst) overexpressing podoplanin and control fibroblasts were co-cultured with breast cancer MDA-MB-231 and MCF7 cells and the impact of podoplanin expressed by fibroblasts on migration and invasiveness of breast cancer cells were studied in vitro. Migratory and invasive properties of breast cancer cells were not affected by the presence of podoplanin on the surface of fibroblasts. However, ectopic expression of podoplanin highly increases the migration of MSU1.1 and Hs 578Bst fibroblasts. The present study also revealed for the first time, that podoplanin expression affects the formation of pseudo tubes by endothelial cells. When human HSkMEC cells were co-cultured with podoplanin-rich fibroblasts the endothelial cell capillary-like network was characterized by significantly lower numbers of nodes and meshes than in co-cultures of endothelial cells with podoplanin-negative fibroblasts. The question remains as to how our experimental data can be correlated with previous clinical data showing an association between the presence of podoplanin-positive cancer-associated fibroblasts and progression of breast cancer. Therefore, we propose that expression of podoplanin by fibroblasts facilitates their movement into the tumor stroma, which creates a favorable microenvironment for tumor progression by increasing the number of cancer-associated fibroblasts, which produce numerous factors affecting proliferation, survival and invasion of cancer cells. In accordance with this, the present study revealed for the first time, that such

  17. Podoplanin increases the migration of human fibroblasts and affects the endothelial cell network formation: A possible role for cancer-associated fibroblasts in breast cancer progression.

    Directory of Open Access Journals (Sweden)

    Jaroslaw Suchanski

    Full Text Available In our previous studies we showed that in breast cancer podoplanin-positive cancer-associated fibroblasts correlated positively with tumor size, grade of malignancy, lymph node metastasis, lymphovascular invasion and poor patients' outcome. Therefore, the present study was undertaken to assess if podoplanin expressed by fibroblasts can affect malignancy-associated properties of breast cancer cells. Human fibroblastic cell lines (MSU1.1 and Hs 578Bst overexpressing podoplanin and control fibroblasts were co-cultured with breast cancer MDA-MB-231 and MCF7 cells and the impact of podoplanin expressed by fibroblasts on migration and invasiveness of breast cancer cells were studied in vitro. Migratory and invasive properties of breast cancer cells were not affected by the presence of podoplanin on the surface of fibroblasts. However, ectopic expression of podoplanin highly increases the migration of MSU1.1 and Hs 578Bst fibroblasts. The present study also revealed for the first time, that podoplanin expression affects the formation of pseudo tubes by endothelial cells. When human HSkMEC cells were co-cultured with podoplanin-rich fibroblasts the endothelial cell capillary-like network was characterized by significantly lower numbers of nodes and meshes than in co-cultures of endothelial cells with podoplanin-negative fibroblasts. The question remains as to how our experimental data can be correlated with previous clinical data showing an association between the presence of podoplanin-positive cancer-associated fibroblasts and progression of breast cancer. Therefore, we propose that expression of podoplanin by fibroblasts facilitates their movement into the tumor stroma, which creates a favorable microenvironment for tumor progression by increasing the number of cancer-associated fibroblasts, which produce numerous factors affecting proliferation, survival and invasion of cancer cells. In accordance with this, the present study revealed for the first

  18. Synchronous bilateral breast cancer in a male

    Science.gov (United States)

    Rubio Hernández, María Caridad; Díaz Prado, Yenia Ivet; Pérez, Suanly Rodríguez; Díaz, Ronald Rodríguez; Aleaga, Zaili Gutiérrez

    2013-01-01

    Male breast cancer, which represents only 1% of all breast cancers, is occasionally associated with a family history of breast cancer. Sporadic male breast cancers presenting with another primary breast cancer are extremely rare. In this article, we report on a 70-year-old male patient with bilateral multifocal and synchronous breast cancer and without a family history of breast cancer. PMID:24319497

  19. 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 ...

  20. Inference of hierarchical regulatory network of estrogen-dependent breast cancer through ChIP-based data.

    Science.gov (United States)

    Gu, Fei; Hsu, Hang-Kai; Hsu, Pei-Yin; Wu, Jiejun; Ma, Yilin; Parvin, Jeffrey; Huang, Tim H-M; Jin, Victor X

    2010-12-17

    Global profiling of in vivo protein-DNA interactions using ChIP-based technologies has evolved rapidly in recent years. Although many genome-wide studies have identified thousands of ERα binding sites and have revealed the associated transcription factor (TF) partners, such as AP1, FOXA1 and CEBP, little is known about ERα associated hierarchical transcriptional regulatory networks. In this study, we applied computational approaches to analyze three public available ChIP-based datasets: ChIP-seq, ChIP-PET and ChIP-chip, and to investigate the hierarchical regulatory network for ERα and ERα partner TFs regulation in estrogen-dependent breast cancer MCF7 cells. 16 common TFs and two common new TF partners (RORA and PITX2) were found among ChIP-seq, ChIP-chip and ChIP-PET datasets. The regulatory networks were constructed by scanning the ChIP-peak region with TF specific position weight matrix (PWM). A permutation test was performed to test the reliability of each connection of the network. We then used DREM software to perform gene ontology function analysis on the common genes. We found that FOS, PITX2, RORA and FOXA1 were involved in the up-regulated genes.We also conducted the ERα and Pol-II ChIP-seq experiments in tamoxifen resistance MCF7 cells (denoted as MCF7-T in this study) and compared the difference between MCF7 and MCF7-T cells. The result showed very little overlap between these two cells in terms of targeted genes (21.2% of common genes) and targeted TFs (25% of common TFs). The significant dissimilarity may indicate totally different transcriptional regulatory mechanisms between these two cancer cells. Our study uncovers new estrogen-mediated regulatory networks by mining three ChIP-based data in MCF7 cells and ChIP-seq data in MCF7-T cells. We compared the different ChIP-based technologies as well as different breast cancer cells. Our computational analytical approach may guide biologists to further study the underlying mechanisms in breast

  1. Inference of hierarchical regulatory network of estrogen-dependent breast cancer through ChIP-based data

    Directory of Open Access Journals (Sweden)

    Parvin Jeffrey

    2010-12-01

    Full Text Available Abstract Background Global profiling of in vivo protein-DNA interactions using ChIP-based technologies has evolved rapidly in recent years. Although many genome-wide studies have identified thousands of ERα binding sites and have revealed the associated transcription factor (TF partners, such as AP1, FOXA1 and CEBP, little is known about ERα associated hierarchical transcriptional regulatory networks. Results In this study, we applied computational approaches to analyze three public available ChIP-based datasets: ChIP-seq, ChIP-PET and ChIP-chip, and to investigate the hierarchical regulatory network for ERα and ERα partner TFs regulation in estrogen-dependent breast cancer MCF7 cells. 16 common TFs and two common new TF partners (RORA and PITX2 were found among ChIP-seq, ChIP-chip and ChIP-PET datasets. The regulatory networks were constructed by scanning the ChIP-peak region with TF specific position weight matrix (PWM. A permutation test was performed to test the reliability of each connection of the network. We then used DREM software to perform gene ontology function analysis on the common genes. We found that FOS, PITX2, RORA and FOXA1 were involved in the up-regulated genes. We also conducted the ERα and Pol-II ChIP-seq experiments in tamoxifen resistance MCF7 cells (denoted as MCF7-T in this study and compared the difference between MCF7 and MCF7-T cells. The result showed very little overlap between these two cells in terms of targeted genes (21.2% of common genes and targeted TFs (25% of common TFs. The significant dissimilarity may indicate totally different transcriptional regulatory mechanisms between these two cancer cells. Conclusions Our study uncovers new estrogen-mediated regulatory networks by mining three ChIP-based data in MCF7 cells and ChIP-seq data in MCF7-T cells. We compared the different ChIP-based technologies as well as different breast cancer cells. Our computational analytical approach may guide biologists to

  2. [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.

  3. Radiation therapy targets and the risk of breast cancer-related lymphedema: a systematic review and network meta-analysis.

    Science.gov (United States)

    Shaitelman, Simona F; Chiang, Yi-Ju; Griffin, Kate D; DeSnyder, Sarah M; Smith, Benjamin D; Schaverien, Mark V; Woodward, Wendy A; Cormier, Janice N

    2017-04-01

    New indications have been found for regional nodal irradiation (RNI) in breast cancer treatment, yet the relationship of RNI and lymphedema risk is uncertain. We sought to determine the association of RNI and lymphedema. We searched MEDLINE, EMBASE, and Scopus for articles in English on humans published from 1995 to 2015, using search terms breast neoplasm, treatment, and morbidity. Two investigators independently selected articles and extracted information, including manuscripts reporting incidence of lymphedema by radiation targets. Meta-analyses, review papers, case-control studies, matched-pair studies, repetitive datasets, and retrospective studies were excluded. A total of 2399 abstracts were identified and 323 corresponding articles reviewed. Twenty-one studies met inclusion criteria. Data were pooled using a random effects mixed model. Network meta-analyses were performed to determine the association of radiation targets alone and radiation targets plus extent of axillary surgery on incidence of lymphedema. The addition of RNI to breast/CW irradiation was associated with an increased incidence of lymphedema (OR 2.85; 95% CI 1.24-6.55). In patients treated with sentinel lymph node biopsy or axillary sampling, there was no association of lymphedema with the addition of RNI to breast/CW irradiation (OR 1.58; 95% CI 0.54-4.66; pooled incidence 5.7 and 4.1%, respectively). Among patients treated with axillary lymph node dissection (ALND), treatment with RNI in addition to breast/CW radiation was associated with a significantly higher risk of lymphedema (OR 2.74; 95% CI 1.38-5.44; pooled incidence 18.2 and 9.4%, respectively). RNI is associated with a significantly higher risk of lymphedema than irradiation of the breast/CW, particularly after ALND.

  4. Breast cancer stem cells

    Directory of Open Access Journals (Sweden)

    Thomas W Owens

    2013-08-01

    Full Text Available Cancer metastasis, resistance to therapies and disease recurrence are significant hurdles to successful treatment of breast cancer. Identifying mechanisms by which cancer spreads, survives treatment regimes and regenerates more aggressive tumours are critical to improving patient survival. Substantial evidence gathered over the last 10 years suggests that breast cancer progression and recurrence is supported by cancer stem cells (CSCs. Understanding how CSCs form and how they contribute to the pathology of breast cancer will greatly aid the pursuit of novel therapies targeted at eliminating these cells. This review will summarise what is currently known about the origins of breast CSCs, their role in disease progression and ways in which they may be targeted therapeutically.

  5. Breast reconstruction after breast cancer.

    Science.gov (United States)

    Serletti, Joseph M; Fosnot, Joshua; Nelson, Jonas A; Disa, Joseph J; Bucky, Louis P

    2011-06-01

    After reading this article, the participant should be able to: 1. Describe the mental, emotional, and physical benefits of reconstruction in breast cancer patients. 2. Compare the most common techniques of reconstruction in patients and detail benefits and risks associated with each. 3. Outline different methods of reconstruction and identify the method considered best for the patient based on timing of the procedures, body type, adjuvant therapies, and other coexisting conditions. 4. Distinguish between some of the different flaps that can be considered for autologous reconstruction. Breast cancer is unfortunately a common disease affecting millions of women, often at a relatively young age. Reconstruction following mastectomy offers women an opportunity to mollify some of the emotional and aesthetic effects of this devastating disease. Although varying techniques of alloplastic and autologous techniques are available, all strive to achieve the same goal: the satisfactory reformation of a breast mound that appears as natural as possible without clothing and at the very least is normal in appearance under clothing. This article summarizes the various approaches to breast reconstruction and offers a balanced view of the risks and benefits of each, all of which in the end offer the opportunity for excellent and predictable results with a high degree of patient satisfaction.

  6. Breast cancer: equal rights?

    Directory of Open Access Journals (Sweden)

    Ana Fátima Carvalho Fernandes

    2015-02-01

    Full Text Available There is not any statistics related to encouraging breast cancer along the past century, and there has not been any in present century. It has been published in the scientific and lay press information on the crescent number of women attacked by breast cancer. How to spare women and family members of such pain when they experience this disease? Which rights provide assistance to the women with cancer?

  7. Oxalate induces breast cancer.

    Science.gov (United States)

    Castellaro, Andrés M; Tonda, Alfredo; Cejas, Hugo H; Ferreyra, Héctor; Caputto, Beatriz L; Pucci, Oscar A; Gil, German A

    2015-10-22

    Microcalcifications can be the early and only presenting sign of breast cancer. One shared characteristic of breast cancer is the appearance of mammographic mammary microcalcifications that can routinely be used to detect breast cancer in its initial stages, which is of key importance due to the possibility that early detection allows the application of more conservative therapies for a better patient outcome. The mechanism by which mammary microcalcifications are formed is still largely unknown but breast cancers presenting microcalcifications are more often associated with a poorer prognosis. We combined Capillary Electrochromatography, histology, and gene expression (qRT-PCR) to analyze patient-matched normal breast tissue vs. breast tumor. Potential carcinogenicity of oxalate was tested by its inoculation into mice. All data were subjected to statistical analysis. To study the biological significance of oxalates within the breast tumor microenvironment, we measured oxalate concentration in both human breast tumor tissues and adjoining non-pathological breast tissues. We found that all tested breast tumor tissues contain a higher concentration of oxalates than their counterpart non-pathological breast tissue. Moreover, it was established that oxalate induces proliferation of breast cells and stimulates the expression of a pro-tumorigenic gene c-fos. Furthermore, oxalate generates highly malignant and undifferentiated tumors when it was injected into the mammary fatpad in female mice, but not when injected into their back, indicating that oxalate does not induce cancer formation in all types of tissues. Moreover, neither human kidney-epithelial cells nor mouse fibroblast cells proliferate when are treated with oxalate. We found that the chronic exposure of breast epithelial cells to oxalate promotes the transformation of breast cells from normal to tumor cells, inducing the expression of a proto-oncogen as c-fos and proliferation in breast cancer cells

  8. Identifying grade/stage-related active modules in human co-regulatory networks: a case study for breast cancer.

    Science.gov (United States)

    Feng, Chenchen; Chen, Lina; Li, Wan; Wang, Hong; Zhang, Liangcai; Jia, Xu; Miao, Zhengqiang; Qu, Xiaoli; Li, Weiguo; He, Weiming

    2012-12-01

    The histological grade/stage of tumor is widely acknowledged as an important clinical prognostic factor for cancer progression. Recent experimental studies have explored the following two topics at the molecular level: (1) whether or not gene expression levels vary by different degrees among different tumor grades/stages, and (2) whether some well-defined modules could distinguish one grade/stage from another. In this article, using breast cancer as an example, we investigated this topic and identified grade/stage-related active modules under the framework of a weighted network integrated from a human protein interaction network and a transcriptional regulatory network. Our results enabled us to draw the conclusion that the gene expression profile could provide more clues about tumor grade, but reveals less evidence about tumor stage. In addition, we found that our modular biomarker method had additional advantages in identifying some tumor grade/stage-related genes with slightly altered expression. According to our case study, the framework we introduced could be used for other cancers to identify their modules during grading or staging.

  9. Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection.

    Science.gov (United States)

    Wahab, Noorul; Khan, Asifullah; Lee, Yeon Soo

    2017-06-01

    Different types of breast cancer are affecting lives of women across the world. Common types include Ductal carcinoma in situ (DCIS), Invasive ductal carcinoma (IDC), Tubular carcinoma, Medullary carcinoma, and Invasive lobular carcinoma (ILC). While detecting cancer, one important factor is mitotic count - showing how rapidly the cells are dividing. But the class imbalance problem, due to the small number of mitotic nuclei in comparison to the overwhelming number of non-mitotic nuclei, affects the performance of classification models. This work presents a two-phase model to mitigate the class biasness issue while classifying mitotic and non-mitotic nuclei in breast cancer histopathology images through a deep convolutional neural network (CNN). First, nuclei are segmented out using blue ratio and global binary thresholding. In Phase-1 a CNN is then trained on the segmented out 80×80 pixel patches based on a standard dataset. Hard non-mitotic examples are identified and augmented; mitotic examples are oversampled by rotation and flipping; whereas non-mitotic examples are undersampled by blue ratio histogram based k-means clustering. Based on this information from Phase-1, the dataset is modified for Phase-2 in order to reduce the effects of class imbalance. The proposed CNN architecture and data balancing technique yielded an F-measure of 0.79, and outperformed all the methods relying on specific handcrafted features, as well as those using a combination of handcrafted and CNN-generated features. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. 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) Keoxifene (Raloxifene Hydrochloride) Nolvadex (Tamoxifen ...

  11. Breast Cancer in Young Women

    Science.gov (United States)

    ... Campaign Initiatives Participation in Cancer Moonshot Stay Informed Breast Cancer in Young Women Recommend on Facebook Tweet Share Compartir Syndicate this page Marleah’s family history of breast cancer was her motivation for pursuing a career where ...

  12. Broccoli Sprout Extract in Treating Patients With Breast Cancer

    Science.gov (United States)

    2017-08-30

    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

  13. AUTOMATED DETECTION OF MITOTIC FIGURES IN BREAST CANCER HISTOPATHOLOGY IMAGES USING GABOR FEATURES AND DEEP NEURAL NETWORKS

    Directory of Open Access Journals (Sweden)

    Maqlin Paramanandam

    2016-11-01

    Full Text Available The count of mitotic figures in Breast cancer histopathology slides is the most significant independent prognostic factor enabling determination of the proliferative activity of the tumor. In spite of the strict protocols followed, the mitotic counting activity suffers from subjectivity and considerable amount of observer variability despite being a laborious task. Interest in automated detection of mitotic figures has been rekindled with the advent of Whole Slide Scanners. Subsequently mitotic detection grand challenge contests have been held in recent years and several research methodologies developed by their participants. This paper proposes an efficient mitotic detection methodology for Hematoxylin and Eosin stained Breast cancer Histopathology Images using Gabor features and a Deep Belief Network- Deep Neural Network architecture (DBN-DNN. The proposed method has been evaluated on breast histopathology images from the publicly available dataset from MITOS contest held at the ICPR 2012 conference. It contains 226 mitoses annotated on 35 HPFs by several pathologists and 15 testing HPFs, yielding an F-measure of 0.74. In addition the said methodology was also tested on 3 slides from the MITOSIS- ATYPIA grand challenge held at the ICPR 2014 conference, an extension of MITOS containing 749 mitoses annotated on 1200 HPFs, by pathologists worldwide. This study has employed 3 slides (294 HPFs from the MITOS-ATYPIA training dataset in its evaluation and the results showed F-measures 0.65, 0.72and 0.74 for each slide. The proposed method is fast and computationally simple yet its accuracy and specificity is comparable to the best winning methods of the aforementioned grand challenges

  14. Treatment Options for 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 ...

  15. Breast Cancer Research Program

    Science.gov (United States)

    2010-09-01

    treatment with the nonsteroidal anti-inflamma- tory drugs (NSAIDs) ibuprofen or aspirin reduces this inflammatory response and, possibly, postpartum breast...involution with systemic ibuprofen or aspirin did not interrupt mammary epithelial cell regression that normally occurs during this period These data... children of immigrant stress, and social desirability bias. Preliminary data suggest that breast cancer survivors, notably racial/ethnic minorities

  16. Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes

    Directory of Open Access Journals (Sweden)

    Valérie Bourdès

    2010-01-01

    Full Text Available The aim of this study was to compare multilayer perceptron neural networks (NNs with standard logistic regression (LR to identify key covariates impacting on mortality from cancer causes, disease-free survival (DFS, and disease recurrence using Area Under Receiver-Operating Characteristics (AUROC in breast cancer patients. From 1996 to 2004, 2,535 patients diagnosed with primary breast cancer entered into the study at a single French centre, where they received standard treatment. For specific mortality as well as DFS analysis, the ROC curves were greater with the NN models compared to LR model with better sensitivity and specificity. Four predictive factors were retained by both approaches for mortality: clinical size stage, Scarff Bloom Richardson grade, number of invaded nodes, and progesterone receptor. The results enhanced the relevance of the use of NN models in predictive analysis in oncology, which appeared to be more accurate in prediction in this French breast cancer cohort.

  17. Lymphedema after breast cancer

    National Research Council Canada - National Science Library

    Brahmi, Sami Aziz; Ziani, Fatima Zahra

    2016-01-01

    Image in medicine Lymphedema is one of the most significant survivorship issues after the surgical treatment of breast cancer and in this population it has been documented to have significant quality...

  18. 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 ...

  19. 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......, and in women giving birth to boys. These findings, however, did not reach statistical significance. Finally, risk reduction was slightly greater following milder forms of preeclampsia. CONCLUSION: Our data is compatible with an approximately 20% reduction in risk of developing breast cancer following...

  20. Deep Proteomics of Breast Cancer Cells Reveals that Metformin Rewires Signaling Networks Away from a Pro-growth State.

    Science.gov (United States)

    Sacco, Francesca; Silvestri, Alessandra; Posca, Daniela; Pirrò, Stefano; Gherardini, Pier Federico; Castagnoli, Luisa; Mann, Matthias; Cesareni, Gianni

    2016-03-23

    Metformin is the most frequently prescribed drug for type 2 diabetes. In addition to its hypoglycemic effects, metformin also lowers cancer incidence. This anti-cancer activity is incompletely understood. Here, we profiled the metformin-dependent changes in the proteome and phosphoproteome of breast cancer cells using high-resolution mass spectrometry. In total, we quantified changes of 7,875 proteins and 15,813 phosphosites after metformin changes. To interpret these datasets, we developed a generally applicable strategy that overlays metformin-dependent changes in the proteome and phosphoproteome onto a literature-derived network. This approach suggested that metformin treatment makes cancer cells more sensitive to apoptotic stimuli and less sensitive to pro-growth stimuli. These hypotheses were tested in vivo; as a proof-of-principle, we demonstrated that metformin inhibits the p70S6K-rpS6 axis in a PP2A-phosphatase dependent manner. In conclusion, analysis of deep proteomics reveals both detailed and global mechanisms that contribute to the anti-cancer activity of metformin. Copyright © 2016 Elsevier Inc. All rights reserved.

  1. Disrupted brain network functional dynamics and hyper-correlation of structural and functional connectome topology in patients with breast cancer prior to treatment.

    Science.gov (United States)

    Kesler, Shelli R; Adams, Marjorie; Packer, Melissa; Rao, Vikram; Henneghan, Ashley M; Blayney, Douglas W; Palesh, Oxana

    2017-03-01

    Several previous studies have demonstrated that cancer chemotherapy is associated with brain injury and cognitive dysfunction. However, evidence suggests that cancer pathogenesis alone may play a role, even in non-CNS cancers. Using a multimodal neuroimaging approach, we measured structural and functional connectome topology as well as functional network dynamics in newly diagnosed patients with breast cancer. Our study involved a novel, pretreatment assessment that occurred prior to the initiation of any cancer therapies, including surgery with anesthesia. We enrolled 74 patients with breast cancer age 29-65 and 50 frequency-matched healthy female controls who underwent anatomic and resting-state functional MRI as well as cognitive testing. Compared to controls, patients with breast cancer demonstrated significantly lower functional network dynamics (p = .046) and cognitive functioning (p cancer group also showed subtle alterations in structural local clustering and functional local clustering (p cancer may directly and/or indirectly affect the brain via mechanisms such as tumor-induced neurogenesis, inflammation, and/or vascular changes, for example. Our results also have broader implications concerning the importance of the balance between structural and functional connectome properties as a potential biomarker of general neurologic deficit.

  2. [Pregnancy and breast cancer].

    Science.gov (United States)

    Ramírez-Torres, Nicolás; Asbun-Bojalil, Juan; Hernández-Valencia, Marcelino

    2013-01-01

    association of breast cancer and pregnancy is not common. The objective of this investigation was to evaluate the pregnancy, young age, stage, treatment, prognosis and mortality of women with breast cancer during pregnancy. retrospective analysis from March 1992 to February 2009, 16 patients were included with breast cancer and pregnancy. They were analized: histological characteristic of tumor, therapeutic response of the oncological treatment, evolution of the pregnancy. From of baby born: Apgar and weight. The woman's mortality with breast cancer during pregnancy was evaluated for age group and for interval of time between late pregnancy and diagnosis posterior of breast cancer and pregnancy. characteristic predominant clinicohistological: stage III (81.2%), T3-T4 (75%), N+ 93.7%, invasive ductal carcinoma (87.5%), histological grade 2-3 (93.7%), receptor estrogeno positive (43.7%); RPpositive (25%); HER-2/neu positive (31.2%). 27 chemotherapy cycles were applied with 5-fluorouracil, epirubicin and cyclophosphamide during the second or third trimester of the pregnancy, there were not severe adverse effects for the mothers and the baby born exposed to chemotherapy. The mean time to disease recurrence was 18.8 months (range, 6-62 months). The rate of mortality for specific age (breast cancer and pregnancy.

  3. Gene panel testing for hereditary breast cancer.

    Science.gov (United States)

    Winship, Ingrid; Southey, Melissa C

    2016-03-21

    Inherited predisposition to breast cancer is explained only in part by mutations in the BRCA1 and BRCA2 genes. Most families with an apparent familial clustering of breast cancer who are investigated through Australia's network of genetic services and familial cancer centres do not have mutations in either of these genes. More recently, additional breast cancer predisposition genes, such as PALB2, have been identified. New genetic technology allows a panel of multiple genes to be tested for mutations in a single test. This enables more women and their families to have risk assessment and risk management, in a preventive approach to predictable breast cancer. Predictive testing for a known family-specific mutation in a breast cancer predisposition gene provides personalised risk assessment and evidence-based risk management. Breast cancer predisposition gene panel tests have a greater diagnostic yield than conventional testing of only the BRCA1 and BRCA2 genes. The clinical validity and utility of some of the putative breast cancer predisposition genes is not yet clear. Ethical issues warrant consideration, as multiple gene panel testing has the potential to identify secondary findings not originally sought by the test requested. Multiple gene panel tests may provide an affordable and effective way to investigate the heritability of breast cancer.

  4. ErbB2-Driven Breast Cancer Cell Invasion Depends on a Complex Signaling Network Activating Myeloid Zinc Finger-1-Dependent Cathepsin B Expression

    DEFF Research Database (Denmark)

    Rafn, Bo; Nielsen, Christian Thomas Friberg; Andersen, Sofie Hagel

    2012-01-01

    signaling network activates the transcription of cathepsin B gene (CTSB) via myeloid zinc finger-1 transcription factor that binds to an ErbB2-responsive enhancer element in the first intron of CTSB. This work provides a model system for ErbB2-induced breast cancer cell invasiveness, reveals a signaling...... as effectors of ErbB2-induced invasion in vitro. We identify Cdc42-binding protein kinase beta, extracellular regulated kinase 2, p21-activated protein kinase 4, and protein kinase C alpha as essential mediators of ErbB2-induced cysteine cathepsin expression and breast cancer cell invasiveness. The identified...

  5. Wide-scale alterations in interchromosomal organization in breast cancer cells: defining a network of interacting chromosomes

    Science.gov (United States)

    Fritz, Andrew J.; Stojkovic, Branislav; Ding, Hu; Xu, Jinhui; Bhattacharya, Sambit; Gaile, Daniel; Berezney, Ronald

    2014-01-01

    The interchromosomal spatial positionings of a subset of human chromosomes was examined in the human breast cell line MCF10A (10A) and its malignant counterpart MCF10CA1a (CA1a). The nine chromosomes selected (#1, 4, 11, 12, 15, 16, 18, 21 and X) cover a wide range in size and gene density and compose ∼40% of the total human genome. Radial positioning of the chromosome territories (CT) was size dependent with certain of the CT more peripheral in CA1a. Each CT was in close proximity (interaction) with a similar number of other CT except the inactive CTXi. It had lower levels of interchromosomal partners in 10A which increased strikingly in CA1a. Major alterations from 10A to CA1a were detected in the pairwise interaction profiles which were subdivided into five types of altered interaction profiles: overall increase, overall decrease, switching from 1 to ≥2, vice versa or no change. A global data mining program termed the chromatic median calculated the most probable overall association network for the entire subset of CT. This interchromosomal network was drastically altered in CA1a with only 1 of 20 shared connections. We conclude that CT undergo multiple and preferred interactions with other CT in the cell nucleus and form preferred—albeit probabilistic—interchromosomal networks. This network of interactions is highly altered in malignant human breast cells. It is intriguing to consider the relationship of these alterations to the corresponding changes in the gene expression program of these malignant cancer cells. PMID:24833717

  6. Stereotactic Image-Guided Navigation During Breast Reconstruction in Patients With Breast Cancer

    Science.gov (United States)

    2017-04-12

    Ductal Breast Carcinoma in Situ; Lobular Breast Carcinoma in Situ; Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer

  7. Time-to-event analysis with artificial neural networks: an integrated analytical and rule-based study for breast cancer.

    Science.gov (United States)

    Lisboa, Paulo J G; Etchells, Terence A; Jarman, Ian H; Hane Aung, M S; Chabaud, Sylvie; Bachelot, Thomas; Perol, David; Gargi, Thérèse; Bourdès, Valérie; Bonnevay, Stéphane; Négrier, Sylvie

    2008-01-01

    This paper presents an analysis of censored survival data for breast cancer specific mortality and disease-free survival. There are three stages to the process, namely time-to-event modelling, risk stratification by predicted outcome and model interpretation using rule extraction. Model selection was carried out using the benchmark linear model, Cox regression but risk staging was derived with Cox regression and with Partial Logistic Regression Artificial Neural Networks regularised with Automatic Relevance Determination (PLANN-ARD). This analysis compares the two approaches showing the benefit of using the neural network framework especially for patients at high risk. The neural network model also has results in a smooth model of the hazard without the need for limiting assumptions of proportionality. The model predictions were verified using out-of-sample testing with the mortality model also compared with two other prognostic models called TNG and the NPI rule model. Further verification was carried out by comparing marginal estimates of the predicted and actual cumulative hazards. It was also observed that doctors seem to treat mortality and disease-free models as equivalent, so a further analysis was performed to observe if this was the case. The analysis was extended with automatic rule generation using Orthogonal Search Rule Extraction (OSRE). This methodology translates analytical risk scores into the language of the clinical domain, enabling direct validation of the operation of the Cox or neural network model. This paper extends the existing OSRE methodology to data sets that include continuous-valued variables.

  8. Integrating structure to protein-protein interaction networks that drive metastasis to brain and lung in breast cancer.

    Directory of Open Access Journals (Sweden)

    H Billur Engin

    Full Text Available Blocking specific protein interactions can lead to human diseases. Accordingly, protein interactions and the structural knowledge on interacting surfaces of proteins (interfaces have an important role in predicting the genotype-phenotype relationship. We have built the phenotype specific sub-networks of protein-protein interactions (PPIs involving the relevant genes responsible for lung and brain metastasis from primary tumor in breast cancer. First, we selected the PPIs most relevant to metastasis causing genes (seed genes, by using the "guilt-by-association" principle. Then, we modeled structures of the interactions whose complex forms are not available in Protein Databank (PDB. Finally, we mapped mutations to interface structures (real and modeled, in order to spot the interactions that might be manipulated by these mutations. Functional analyses performed on these sub-networks revealed the potential relationship between immune system-infectious diseases and lung metastasis progression, but this connection was not observed significantly in the brain metastasis. Besides, structural analyses showed that some PPI interfaces in both metastasis sub-networks are originating from microbial proteins, which in turn were mostly related with cell adhesion. Cell adhesion is a key mechanism in metastasis, therefore these PPIs may be involved in similar molecular pathways that are shared by infectious disease and metastasis. Finally, by mapping the mutations and amino acid variations on the interface regions of the proteins in the metastasis sub-networks we found evidence for some mutations to be involved in the mechanisms differentiating the type of the metastasis.

  9. 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.

  10. Dutch digital breast cancer screening: implications for breast cancer care

    NARCIS (Netherlands)

    Timmers, Johanna M.; den Heeten, Gerard J.; Adang, Eddy M.; Otten, Johannes D.; Verbeek, André L.; Broeders, Mireille J.

    2012-01-01

    Background: In comparison to other European population-based breast cancer screening programmes, the Dutch programme has a low referral rate, similar breast cancer detection and a high breast cancer mortality reduction. The referral rate in the Netherlands has increased over time and is expected to

  11. 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

  12. Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients.

    Science.gov (United States)

    Mao, Yu; Hao, Jian; Jin, Zi-Qi; Niu, Yang-Yang; Yang, Xue; Liu, Dan; Cao, Rui; Wu, Xiong-Zhi

    2017-04-18

    Chinese Herbal Medicine (CHM) plays a significant role in breast cancer treatment. We conduct the study to ascertain the relative molecular targets of effective Chinese herbs in treating stage IV breast cancer.Survival benefit of CHM was verified by Kaplan-Meier method and Cox regression analysis. A bivariate correlation analysis was used to find and establish the effect of herbs in complex CHM formulas. A network pharmacological approach was adopted to explore the potential mechanisms of CHM.Patients in the CHM group had a median survival time of 55 months, which was longer than the 23 months of patients in the non-CHM group. Cox regression analysis indicated that CHM was an independent protective factor. Correlation analysis showed that 10 herbs were strongly correlated with favorable survival outcomes (Pherbs might achieve anti-breast cancer activity primarily through inhibiting HSP90, ERα and TOP-II related pathways.

  13. Breast cancer and pregnancy.

    Science.gov (United States)

    Knabben, Laura; Mueller, Michel D

    2017-08-29

    Background In the past decades the incidence of pregnancy-associated breast cancer (PABC) increased. Possible explanations are the trend to postpone childbearing and the general increase in the incidence of breast cancer. Materials and methods A sytematic review of the literature was performed with the aim to report on incidence, diagnosis, treatment and prognosis of breast cancer during pregnancy. We also cover the issue of pregnancy following a diagnosis of breast cancer including fertility preservation and prognosis. Results Ultrasound is the imaging method of choice in pregnancy, but mammography can also be performed as the fetal irradiation dose is low. To avoid a delay in diagnosis every sonographic mass in pregnant women which does not clearly correspond to a cyst needs further investigation by biopsy. Treatment should follow as close as possible the guidelines for non-pregnant patients. Administration of chemotherapy is possible after the first trimester. There is a large body of evidence for the use of anthracyclines. In contrast radiotherapy, trastuzumab and antihormonal treatment by tamoxifen are contraindicated during pregnancy. Pregnancy does not seem to influence prognosis. Most adverse obstetric outcomes are related to preterm delivery, which should therefore, whenever possible, be avoided. Young patients with breast cancer and incomplete family planning should be referred for counseling about fertility preservation options before the initiation of adjuvant treatment. A pregnancy following breast cancer does not have a negative impact on prognosis. Conclusion Multidisciplinary management of women with breast cancer in pregnancy is mandatory and data should be collected to allow further improvement in management.

  14. Untangling the ATR-CHEK1 network for prognostication, prediction and therapeutic target validation in breast cancer.

    Science.gov (United States)

    Abdel-Fatah, Tarek M A; Middleton, Fiona K; Arora, Arvind; Agarwal, Devika; Chen, Tao; Moseley, Paul M; Perry, Christina; Doherty, Rachel; Chan, Stephen; Green, Andrew R; Rakha, Emad; Ball, Graham; Ellis, Ian O; Curtin, Nicola J; Madhusudan, Srinivasan

    2015-03-01

    ATR-CHEK1 signalling is critical for genomic stability. ATR-CHEK1 signalling may be deregulated in breast cancer and have prognostic, predictive and therapeutic significance. We investigated ATR, CHEK1 and phosphorylated CHEK1 (Ser345) protein (pCHEK1) levels in 1712 breast cancers. ATR and CHEK1 mRNA expression was evaluated in 1950 breast cancers. Pre-clinically, biological consequences of ATR gene knock down or ATR inhibition by the small molecule inhibitor (VE-821) were investigated in MCF7 and MDA-MB-231 breast cancer cell lines and in non-tumorigenic breast epithelial cells (MCF10A). High ATR and high cytoplasmic pCHEK1 levels were significantly associated with higher tumour stage, higher mitotic index, pleomorphism and lymphovascular invasion. In univariate analyses, high ATR and high cytoplasmic pCHEK1 levels were associated with poor breast cancer specific survival (BCSS). In multivariate analysis, high ATR level remains an independent predictor of adverse outcome. At the mRNA level, high CHEK1 remains associated with aggressive phenotypes including lymph node positivity, high grade, Her-2 overexpression, triple negative, aggressive molecular phenotypes and adverse BCSS. Pre-clinically, CHEK1 phosphorylation at serine(345) following replication stress was impaired in ATR knock down and in VE-821 treated breast cancer cells. Doxycycline inducible knockdown of ATR suppressed growth, which was restored when ATR was re-expressed. Similarly, VE-821 treatment resulted in a dose dependent suppression of cancer cell growth and survival (MCF7 and MDA-MB-231) but was less toxic in non-tumorigenic breast epithelial cells (MCF10A). We provide evidence that ATR and CHEK1 are promising biomarkers and rational drug targets for personalized therapy in breast cancer. Copyright © 2014 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

  15. 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 ...

  16. Life After Breast Cancer Treatment

    Science.gov (United States)

    FACTS FOR LIFE Life After Breast Cancer Treatment Once breast cancer treatment ends, you may face a new set of issues and concerns. ... fear. If fear starts to disrupt your daily life, talk with your doctor. Getting the support and ...

  17. Progress in breast cancer: overview

    National Research Council Canada - National Science Library

    Arteaga, Carlos L

    2013-01-01

    This edition of CCR Focus titled Research in Breast Cancer: Frontiers in Genomics, Biology, and Clinical Investigation reviews six topics that cover areas of translational research of high impact in breast cancer...

  18. Inflammatory breast cancer: an overview

    NARCIS (Netherlands)

    Uden, D.J. van; Laarhoven, H.W.M. van; Westenberg, A.H.; Wilt, J.H. de; Blanken-Peeters, C.F.

    2015-01-01

    Inflammatory breast cancer (IBC) is the most aggressive entity of breast cancer. Management involves coordination of multidisciplinary management and usually includes neoadjuvant chemotherapy, ablative surgery if a tumor-free resection margin is expected and locoregional radiotherapy. This

  19. Adenoid cystic breast cancer.

    Science.gov (United States)

    McClenathan, James H; de la Roza, Gustavo

    2002-06-01

    Adenoid cystic carcinoma is a rare type of breast cancer that is generally reported in individual case reports or as series from major referral centers. To characterize early diagnostic criteria for adenoid cystic carcinoma and to determine whether breast-preserving surgery with radiotherapy is as effective as mastectomy for eradicating the disease, we reviewed clinical records of a large series of patients treated for adenoid cystic carcinoma of the breast at a large health maintenance organization (HMO) that includes primary care facilities and referral centers. Using the data bank of the Northern California Cancer Registry of the Kaiser Permanente Northern California Region (KPNCR), we retrospectively reviewed medical records of patients treated for adenoid cystic carcinoma of the breast. Follow-up also was done for these patients. Adenoid cystic carcinoma of the breast was diagnosed in 22 of 27,970 patients treated for breast cancer at KPNCR from 1960 through 2000. All 22 patients were female and were available for follow-up. Mean age of patients at diagnosis was 61 years (range, 37 to 94 years). In 17 (77%) of the women, a lump in the breast led to initial suspicion of a tumor; in 4 (23%) of the 22 patients, mammography led to suspicion of a tumor. Median tumor size was 20 mm. Pain was a prominent symptom. Surgical management evolved from radical and modified radical mastectomy to simple mastectomy or lumpectomy during the study period, during which time 1 patient died of previous ordinary ductal carcinoma of the contralateral breast, and 7 died of unrelated disease. At follow-up, 12 of the 13 remaining patients were free of disease; 1 patient died of the disease; and 1 patient remained alive despite late occurrence of lymph node and pulmonary metastases. Whether breast-preserving surgery with radiotherapy is as effective as mastectomy for treating adenoid cystic carcinoma of the breast has not been determined.

  20. An integrative analysis of cellular contexts, miRNAs and mRNAs reveals network clusters associated with antiestrogen-resistant breast cancer cells

    Directory of Open Access Journals (Sweden)

    Nam Seungyoon

    2012-12-01

    Full Text Available Abstract Background A major goal of the field of systems biology is to translate genome-wide profiling data (e.g., mRNAs, miRNAs into interpretable functional networks. However, employing a systems biology approach to better understand the complexities underlying drug resistance phenotypes in cancer continues to represent a significant challenge to the field. Previously, we derived two drug-resistant breast cancer sublines (tamoxifen- and fulvestrant-resistant cell lines from the MCF7 breast cancer cell line and performed genome-wide mRNA and microRNA profiling to identify differential molecular pathways underlying acquired resistance to these important antiestrogens. In the current study, to further define molecular characteristics of acquired antiestrogen resistance we constructed an “integrative network”. We combined joint miRNA-mRNA expression profiles, cancer contexts, miRNA-target mRNA relationships, and miRNA upstream regulators. In particular, to reduce the probability of false positive connections in the network, experimentally validated, rather than prediction-oriented, databases were utilized to obtain connectivity. Also, to improve biological interpretation, cancer contexts were incorporated into the network connectivity. Results Based on the integrative network, we extracted “substructures” (network clusters representing the drug resistant states (tamoxifen- or fulvestrant-resistance cells compared to drug sensitive state (parental MCF7 cells. We identified un-described network clusters that contribute to antiestrogen resistance consisting of miR-146a, -27a, -145, -21, -155, -15a, -125b, and let-7s, in addition to the previously described miR-221/222. Conclusions By integrating miRNA-related network, gene/miRNA expression and text-mining, the current study provides a computational-based systems biology approach for further investigating the molecular mechanism underlying antiestrogen resistance in breast cancer cells. In

  1. Kindness Interventions in Enhancing Well-Being in Breast Cancer Survivors

    Science.gov (United States)

    2017-12-05

    Cancer Survivor; Stage 0 Breast Cancer; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer

  2. Cardiac Rehabilitation Program in Improving Cardiorespiratory Fitness in Stage 0-III Breast Cancer Survivors

    Science.gov (United States)

    2017-08-17

    Cancer Survivor; Stage 0 Breast Cancer; 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

  3. Integrative analysis of miRNA and gene expression reveals regulatory networks in tamoxifen-resistant breast cancer

    DEFF Research Database (Denmark)

    Joshi, Tejal; Elias, Daniel; Stenvang, Jan

    2016-01-01

    Tamoxifen is an effective anti-estrogen treatment for patients with estrogen receptor-positive (ER+) breast cancer, however, tamoxifen resistance is frequently observed. To elucidate the underlying molecular mechanisms of tamoxifen resistance, we performed a systematic analysis of mi......RNA-mediated gene regulation in three clinically-relevant tamoxifen-resistant breast cancer cell lines (TamRs) compared to their parental tamoxifen-sensitive cell line. Alterations in the expression of 131 miRNAs in tamoxifen-resistant vs. parental cell lines were identified, 22 of which were common to all Tam......+ breast cancer patients receiving adjuvant tamoxifen mono-therapy. Our results provide new insight into the molecular mechanisms of tamoxifen resistance and may form the basis for future medical intervention for the large number of women with tamoxifen-resistant ER+ breast cancer....

  4. Immunophenotyping of hereditary breast cancer

    NARCIS (Netherlands)

    van der Groep, P.|info:eu-repo/dai/nl/304810789

    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

  5. Clinical proteomics in breast cancer

    NARCIS (Netherlands)

    Gast, M.C.W.

    2009-01-01

    Breast cancer imposes a significant healthcare burden on women worldwide. Early detection is of paramount importance in reducing mortality, yet the diagnosis of breast cancer is hampered by a lack of adequate detection methods. In addition, better breast cancer prognostication may improve selection

  6. Breast cancer in the elderly

    African Journals Online (AJOL)

    breast cancer at the University of Benin Teaching Hospital, Nigeria. Of these, 27. (25.2%) were aged 60 years ... and physician vigilance are keys to early detection and treatment of breast cancer in the elderly. INTRODUCTION ..... Law TM, Hesketli PJ, Porter KA, Lawn-Tsao L,. McAxiaw R and Lopez MJ. Breast cancer in eld ...

  7. Omega-3 Fatty Acid in Treating Patients With Stage I-III Breast Cancer

    Science.gov (United States)

    2017-05-30

    Ductal Breast Carcinoma in Situ; Lobular Breast Carcinoma in Situ; Male Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  8. Hypofractionated Radiation Therapy in Treating Patients With Stage 0-IIB Breast Cancer

    Science.gov (United States)

    2017-12-05

    Ductal Breast Carcinoma In Situ; Invasive Breast Carcinoma; Stage 0 Breast Cancer; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer

  9. Pregnancy associated breast cancer and pregnancy after breast cancer treatment

    Science.gov (United States)

    Doğer, Emek; Çalışkan, Eray; Mallmann, Peter

    2011-01-01

    Breast cancer is one of the most common cancers diagnosed during pregnancy and its frequency is increasing as more women postpone their pregnancies to their thirties and forties. Breast cancer diagnosis during pregnancy and lactation is difficult and complex both for the patient and doctors. Delay in diagnosis is frequent and treatment modalities are difficult to accept for the pregnant women. The common treatment approach is surgery after diagnosis, chemotherapy after the first trimester and radiotherapy after delivery. Even though early stage breast cancers have similar prognosis, advanced stage breast cancers diagnosed during pregnancy and lactation have poorer prognosis than similar stage breast cancers diagnosed in non-pregnant women. Women who desire to become pregnant after treatment of breast cancer will have many conflicts. Although the most common concern is recurrence of breast cancer due to pregnancy, the studies conducted showed that pregnancy has no negative effect on breast cancer prognosis. In this review we search for the frequency of breast cancer during pregnancy, the histopathological findings, risk factor, diagnostic and treatment modalities. We reviewed the literature for evidence based findings to help consult the patients on the outcome of breast cancer diagnosed during pregnancy and lactation, and also inform the patients who desire to become pregnant after breast cancer according to current evidences. PMID:24592003

  10. Affluence and Breast Cancer.

    Science.gov (United States)

    Lehrer, Steven; Green, Sheryl; Rosenzweig, Kenneth E

    2016-09-01

    High income, high socioeconomic status, and affluence increase breast cancer incidence. Socioeconomic status in USA breast cancer studies has been assessed by block-group socioeconomic measures. A block group is a portion of a census tract with boundaries that segregate, as far as possible, socioeconomic groups. In this study, we used US Census income data instead of block groups to gauge socioeconomic status of breast cancer patients in relationship with incidence, prognostic markers, and survival. US state breast cancer incidence and mortality data are from the U.S. Cancer Statistics Working Group, United States Cancer Statistics: 1999-2011. Three-Year-Average Median Household Income by State, 2010 to 2012, is from the U.S. Census Bureau, Current Population Survey, 2011 to 2013 Annual Social and Economic Supplements. County incomes are from the 2005-2009 American Community Survey of the U.S. Census Bureau. The American Community Survey is an ongoing statistical survey that samples a small percentage of the population yearly. Its purpose is to provide communities the information they need to plan investments and services. Breast cancer county incidence and survival data are from the National Cancer Institute's Surveillance, Epidemiology and End Results Program (SEER) data base. We analyzed SEER data from 198 counties in California, Connecticut, Georgia, Hawaii, Iowa, New Mexico, Utah, and Washington. SEER uses the Collaborative Stage (CS) Data Collection System. We have retained the SEER CS variables. There was a significant relationship of income with breast cancer incidence in 50 USA states and the District of Columbia in White women (r = 0.623, p breast cancer. Income was not correlated with 5-year survival of Black race (p = 0.364) or other races (p = 0.624). The multivariate general linear model with income as covariate, 5-year survival by race as a dependent variable, showed a significant effect of income and White race on 5-year survival (p breast cancer

  11. 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...

  12. 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...

  13. Axillary staging for breast cancer during pregnancy

    DEFF Research Database (Denmark)

    Han, S N; Amant, F; Cardonick, E H

    2018-01-01

    BACKGROUND: Safety of sentinel lymph node (SLN) biopsy for breast cancer during pregnancy is insufficiently explored. We investigated efficacy and local recurrence rate in a large series of pregnant patients. PATIENTS AND METHODS: Women diagnosed with breast cancer who underwent SLN biopsy during...... pregnancy were identified from the International Network on Cancer, Infertility and Pregnancy, the German Breast Group, and the Cancer and Pregnancy Registry. Chart review was performed to record technique and outcome of SLN biopsy, locoregional and distant recurrence, and survival. RESULTS: We identified...... were alive and free of disease. Eleven patients experienced a locoregional relapse, including 1 isolated ipsilateral axillary recurrence (0.7%). Eleven (7.6%) patients developed distant metastases, of whom 9 (6.2%) died of breast cancer. No neonatal adverse events related to SLN procedure during...

  14. Pathology of hereditary breast cancer

    OpenAIRE

    van der Groep, Petra; van der Wall, Elsken; van Diest, Paul J.

    2011-01-01

    Background Hereditary breast cancer runs in families where several members in different generations are affected. Most of these breast cancers are caused by mutations in the high penetrance genes BRCA1 and BRCA2 accounting for about 5% of all breast cancers. Other genes that include CHEK2, PTEN, TP53, ATM, STK11/LKB1, CDH1, NBS1, RAD50, BRIP1 and PALB2 have been described to be high or moderate penetrance breast cancer susceptibility genes, all contributing to the hereditary breast cancer spe...

  15. Pregnancy-associated Breast Cancer.

    Science.gov (United States)

    Case, Ashley S

    2016-12-01

    Breast cancer is one of the most common malignancies affecting pregnancy. Pregnancy-associated breast cancer refers to breast cancer that is diagnosed during pregnancy or within the first postpartum year. The incidence is increasing as more women delay childbearing. Breast cancer can be safely diagnosed, staged, and treated during pregnancy while protecting the fetus and mother with excellent outcomes for both. Avoiding diagnostic delays is vital to prognosis. This article provides an overview of the diagnosis, staging, management, and prognosis of pregnancy-associated breast cancer. Relevant current literature is reviewed.

  16. Abortion, Miscarriage, and Breast Cancer Risk

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Abortion, Miscarriage, and Breast Cancer Risk: 2003 Workshop In ... cancer risk, including studies of induced and spontaneous abortions. They concluded that having an abortion or miscarriage ...

  17. 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

  18. Does Aluminium Trigger Breast Cancer?

    OpenAIRE

    Peter Jennrich; Claus Schulte-Uebbing

    2016-01-01

    Summary. Breast cancer is by far the most common cancer in women in the western world. In 90% of breast cancers, environmental factors are among the causes. The frequency with which the tumour occurs in the outer upper part of the breast has risen with above average rates in recent decades. Aluminium salts as ingredients in deodorants and antiperspirants are being absorbed by the body to a greater extent than hitherto assumed. Their toxicity for healthy and diseased breast tissue cells includ...

  19. Gene expression profiling of breast cancer survivability by pooled cDNA microarray analysis using logistic regression, artificial neural networks and decision trees.

    Science.gov (United States)

    Chou, Hsiu-Ling; Yao, Chung-Tay; Su, Sui-Lun; Lee, Chia-Yi; Hu, Kuang-Yu; Terng, Harn-Jing; Shih, Yun-Wen; Chang, Yu-Tien; Lu, Yu-Fen; Chang, Chi-Wen; Wahlqvist, Mark L; Wetter, Thomas; Chu, Chi-Ming

    2013-03-19

    Microarray technology can acquire information about thousands of genes simultaneously. We analyzed published breast cancer microarray databases to predict five-year recurrence and compared the performance of three data mining algorithms of artificial neural networks (ANN), decision trees (DT) and logistic regression (LR) and two composite models of DT-ANN and DT-LR. The collection of microarray datasets from the Gene Expression Omnibus, four breast cancer datasets were pooled for predicting five-year breast cancer relapse. After data compilation, 757 subjects, 5 clinical variables and 13,452 genetic variables were aggregated. The bootstrap method, Mann-Whitney U test and 20-fold cross-validation were performed to investigate candidate genes with 100 most-significant p-values. The predictive powers of DT, LR and ANN models were assessed using accuracy and the area under ROC curve. The associated genes were evaluated using Cox regression. The DT models exhibited the lowest predictive power and the poorest extrapolation when applied to the test samples. The ANN models displayed the best predictive power and showed the best extrapolation. The 21 most-associated genes, as determined by integration of each model, were analyzed using Cox regression with a 3.53-fold (95% CI: 2.24-5.58) increased risk of breast cancer five-year recurrence. The 21 selected genes can predict breast cancer recurrence. Among these genes, CCNB1, PLK1 and TOP2A are in the cell cycle G2/M DNA damage checkpoint pathway. Oncologists can offer the genetic information for patients when understanding the gene expression profiles on breast cancer recurrence.

  20. Pertuzumab, Trastuzumab, and Paclitaxel Albumin-Stabilized Nanoparticle Formulation in Treating Patients With HER2-Positive Advanced Breast Cancer

    Science.gov (United States)

    2017-09-08

    HER2-positive Breast Cancer; Recurrent Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer; Breast Adenocarcinoma; Inflammatory Breast Carcinoma

  1. Bladder Cancer Advocacy Network

    Science.gov (United States)

    ... Grants Bladder Cancer Think Tank Bladder Cancer Research Network Bladder Cancer Genomics Consortium Get Involved Ways to ... us? Who we are The Bladder Cancer Advocacy Network (BCAN) is a community of patients, caregivers, survivors, ...

  2. 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.

  3. Cytokines, Neovascularization and Breast Cancer

    Science.gov (United States)

    1996-10-01

    Rationale Angiogenesis is important in the growth and metastases of human breast cancer . We hypothesize that this process is under the control of...staining patern seen in invasive cancer , in situ cancer , and benign breast tissue. Note that staining was graded as the most intensly staining area. The...blocked, tumors do not grow or metastasize . The purpose of this study was to demonstrate that breast cancer cells are capable of participating in this

  4. Hormone therapy for breast cancer

    Science.gov (United States)

    ... of benefits: Taking Tamoxifen for 5 years after breast cancer surgery cuts the chance of cancer coming back by half. Some studies show that taking it for 10 years may work even better. It reduces the risk that cancer ...

  5. Artificial neural network-based exploration of gene-nutrient interactions in folate and xenobiotic metabolic pathways that modulate susceptibility to breast cancer.

    Science.gov (United States)

    Naushad, Shaik Mohammad; Ramaiah, M Janaki; Pavithrakumari, Manickam; Jayapriya, Jaganathan; Hussain, Tajamul; Alrokayan, Salman A; Gottumukkala, Suryanarayana Raju; Digumarti, Raghunadharao; Kutala, Vijay Kumar

    2016-04-15

    In the current study, an artificial neural network (ANN)-based breast cancer prediction model was developed from the data of folate and xenobiotic pathway genetic polymorphisms along with the nutritional and demographic variables to investigate how micronutrients modulate susceptibility to breast cancer. The developed ANN model explained 94.2% variability in breast cancer prediction. Fixed effect models of folate (400 μg/day) and B12 (6 μg/day) showed 33.3% and 11.3% risk reduction, respectively. Multifactor dimensionality reduction analysis showed the following interactions in responders to folate: RFC1 G80A × MTHFR C677T (primary), COMT H108L × CYP1A1 m2 (secondary), MTR A2756G (tertiary). The interactions among responders to B12 were RFC1G80A × cSHMT C1420T and CYP1A1 m2 × CYP1A1 m4. ANN simulations revealed that increased folate might restore ER and PR expression and reduce the promoter CpG island methylation of extra cellular superoxide dismutase and BRCA1. Dietary intake of folate appears to confer protection against breast cancer through its modulating effects on ER and PR expression and methylation of EC-SOD and BRCA1. Copyright © 2016 Elsevier B.V. All rights reserved.

  6. 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...

  7. [Clues to differentiate pregnancy-associated breast cancer from those diagnosed in postpartum period: A monocentric experience of pregnancy-associated cancer network (CALG)].

    Science.gov (United States)

    Boudy, Anne-Sophie; Naoura, Iptissem; Zilberman, Sonia; Gligorov, Joseph; Chabbert-Buffet, Nathalie; Ballester, Marcos; Selleret, Lise; Darai, Emile

    2017-06-01

    To compare epidemiological, histological, therapeutic characteristics and prognosis of patients with breast cancer diagnosed during pregnancy with those diagnosed in postpartum period at a national expert center, « Cancer Associé à La Grossesse » network. Retrospective study of 108 patients with a pregnancy-associated breast cancer (PABC) between 2002 and 2016 comparing 51 patients with PABC during pregnancy and 57 patients with PABC of postpartum. Median gestational age at diagnosis was 16 weeks of gestation (WG). Median size (P=0.92), initial axillary pathology (P=0.29), histological type (P=0.33) and hormone receptor positive (P=0.93), were similar between groups. PABC during pregnancy overexpressed less frequently HER2 (12 % vs 36 %, P=0.003) and were less proliferant (Ki67≥15 %; 64 % vs 75 %, P=0.018) with less radical surgery (45 % vs 70 %, P=0.008). Sentinel lymph node biopsy was performed in 8 patients during pregnancy. Less patients of PABC during pregnancy received trastuzumab 12 % vs 37 %, P=0.003. Median delivery term was 37 WG. Median follow-up 3.2 vs 5.6 years (P=0.002) and recurrence rate for PABC during pregnancy and of postpartum were 3.2 vs 5.6 years (P=0.002) and 12 % vs 32 % (P=0.01), respectively. Our results emphasize histological, surgical and adjuvant treatment differences imposing differentiating PABC during pregnancy from those diagnosed in the postpartum period. Copyright © 2017 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.

  8. 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

  9. Axillary Lymph Nodes and Breast Cancer

    Science.gov (United States)

    ... nodes . The axillary nodes are the first place breast cancer is likely to spread. During breast surgery, some ... if cancer cells are present. This helps determine breast cancer stage and guide treatment. So, it is more ...

  10. Breast cancer fear in African American breast cancer survivors.

    Science.gov (United States)

    Gibson, Lynette M; Thomas, Sheila; Parker, Veronica; Mayo, Rachel; Wetsel, Margaret Ann

    2014-01-01

    The purpose of this study was to describe breast cancer fear according to phase of survivorship, determine whether breast cancer fear levels differed among survivorship phases, and determine the relationship between fear and age in African-American breast cancer survivors. The study utilized secondary data analysis from the study, Inner Resources as Predictors of Psychological Well-Being in AABCS. A new subscale entitled, "Breast Cancer Fear" was adapted from the Psychological Well Being Subscale by Ferrell and Grant. There was no significant difference between fear and phase of survivorship. There was a significant positive relationship between age and fear.

  11. Isoliquiritigenin induces growth inhibition and apoptosis through downregulating arachidonic acid metabolic network and the deactivation of PI3K/Akt in human breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Li, Ying; Zhao, Haixia [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Wang, Yuzhong [Key Laboratory for Oral Biomedical Engineering of Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079 (China); Zheng, Hao; Yu, Wei; Chai, Hongyan [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Zhang, Jing [Animal Experimental Center of Wuhan University, Wuhan 430071 (China); Falck, John R. [Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX 75390,USA (United States); Guo, Austin M. [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Department of Pharmacology, New York Medical College, Valhalla, NY 10595 (United States); Yue, Jiang; Peng, Renxiu [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Yang, Jing, E-mail: yangjingliu2013@163.com [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Research Center of Food and Drug Evaluation, Wuhan University, Wuhan 430071 (China)

    2013-10-01

    Arachidonic acid (AA)-derived eicosanoids and its downstream pathways have been demonstrated to play crucial roles in growth control of breast cancer. Here, we demonstrate that isoliquiritigenin, a flavonoid phytoestrogen from licorice, induces growth inhibition and apoptosis through downregulating multiple key enzymes in AA metabolic network and the deactivation of PI3K/Akt in human breast cancer. Isoliquiritigenin diminished cell viability, 5-bromo-2′-deoxyuridine (BrdU) incorporation, and clonogenic ability in both MCF-7 and MDA-MB-231cells, and induced apoptosis as evidenced by an analysis of cytoplasmic histone-associated DNA fragmentation, flow cytometry and hoechst staining. Furthermore, isoliquiritigenin inhibited mRNA expression of multiple forms of AA-metabolizing enzymes, including phospholipase A2 (PLA2), cyclooxygenases (COX)-2 and cytochrome P450 (CYP) 4A, and decreased secretion of their products, including prostaglandin E{sub 2} (PGE{sub 2}) and 20-hydroxyeicosatetraenoic acid (20-HETE), without affecting COX-1, 5-lipoxygenase (5-LOX), 5-lipoxygenase activating protein (FLAP), and leukotriene B{sub 4} (LTB{sub 4}). In addition, it downregulated the levels of phospho-PI3K, phospho-PDK (Ser{sup 241}), phospho-Akt (Thr{sup 308}), phospho-Bad (Ser{sup 136}), and Bcl-x{sub L} expression, thereby activating caspase cascades and eventually cleaving poly(ADP-ribose) polymerase (PARP). Conversely, the addition of exogenous eicosanoids, including PGE{sub 2}, LTB{sub 4} and a 20-HETE analog (WIT003), and caspase inhibitors, or overexpression of constitutively active Akt reversed isoliquiritigenin-induced apoptosis. Notably, isoliquiritigenin induced growth inhibition and apoptosis of MDA-MB-231 human breast cancer xenografts in nude mice, together with decreased intratumoral levels of eicosanoids and phospho-Akt (Thr{sup 308}). Collectively, these data suggest that isoliquiritigenin induces growth inhibition and apoptosis through downregulating AA metabolic

  12. 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...

  13. Reproduction and Breast Cancer Risk

    Science.gov (United States)

    Hanf, Volker; Hanf, Dorothea

    2014-01-01

    Summary Reproduction is doubtlessly one of the main biological meanings of life. It is therefore not surprising that various aspects of reproduction impact on breast cancer risk. Various developmental levels may become targets of breast tumorigenesis. This review follows the chronologic sequence of events in the life of a female at risk, starting with the intrauterine development. Furthermore, the influence of both contraceptive measures and fertility treatment on breast cancer development is dealt with, as well as various pregnancy-associated factors, events, and perinatal outcomes. Finally, the contribution of breast feeding to a reduced breast cancer risk is discussed. PMID:25759622

  14. Breast Cancer Metastasis

    Science.gov (United States)

    Marino, Natascia; Woditschka, Stephan; Reed, L. Tiffany; Nakayama, Joji; Mayer, Musa; Wetzel, Maria; Steeg, Patricia S.

    2014-01-01

    Despite important progress in adjuvant and neoadjuvant therapies, metastatic disease often develops in breast cancer patients and remains the leading cause of their deaths. For patients with established metastatic disease, therapy is palliative, with few breaks and with mounting adverse effects. Many have hypothesized that a personalized or precision approach (the terms are used interchangeably) to cancer therapy, in which treatment is based on the individual characteristics of each patient, will provide better outcomes. Here, we discuss the molecular basis of breast cancer metastasis and the challenges in personalization of treatment. The instability of metastatic tumors remains a leading obstacle to personalization, because information from a patient’s primary tumor may not accurately reflect the metastasis, and one metastasis may vary from another. Furthermore, the variable presence of tumor subpopulations, such as stem cells and dormant cells, may increase the complexity of the targeted treatments needed. Although molecular signatures and circulating biomarkers have been identified in breast cancer, there is lack of validated predictive molecular markers to optimize treatment choices for either prevention or treatment of metastatic disease. Finally, to maximize the information that can be obtained, increased attention to clinical trial design in the metastasis preventive setting is needed. PMID:23895915

  15. Molecular imaging of breast cancer

    NARCIS (Netherlands)

    Adams, A.L.L.

    2014-01-01

    Breast cancer is the most common type of cancer in women. Imaging techniques play a pivotal role in breast cancer management, especially in lesion detection, treatment planning and evaluation, and prognostication. These imaging techniques have however limitations such as the use of ionizing

  16. On the Use of Local Search in the Evolution of Neural Networks for the Diagnosis of Breast Cancer

    Directory of Open Access Journals (Sweden)

    Agam Gupta

    2015-07-01

    Full Text Available With the advancement in the field of Artificial Intelligence, there have been considerable efforts to develop technologies for pattern recognition related to medical diagnosis. Artificial Neural Networks (ANNs, a significant piece of Artificial Intelligence forms the base for most of the marvels in the former field. However, ANNs face the problem of premature convergence at a local minimum and inability to set hyper-parameters (like the number of neurons, learning rate, etc. while using Back Propagation Algorithm (BPA. In this paper, we have used the Genetic Algorithm (GA for the evolution of the ANN, which overcomes the limitations of the BPA. Since GA alone cannot fit for a high-dimensional, complex and multi-modal optimization landscape of the ANN, BPA is used as a local search algorithm to aid the evolution. The contributions of GA and BPA in the resultant approach are adjudged to determine the magnitude of local search necessary for optimization, striking a clear balance between exploration and exploitation in the evolution. The algorithm was applied to deal with the problem of Breast Cancer diagnosis. Results showed that under optimal settings, hybrid algorithm performs better than BPA or GA alone.

  17. [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

  18. Inflammatory breast cancer in accessory abdominal breast tissue

    Directory of Open Access Journals (Sweden)

    Randy C. Miles, MD, MPH

    2017-12-01

    Full Text Available Accessory breast tissue results from failure of the embryologic mammary ridge, also known as the milk line, to involute. As a result, ectopic breast tissue can develop anywhere along this ridge, which extends from the axilla—the most common location—to the groin. Primary breast cancer in accessory breast tissue is uncommon but has been reported in multiple prior studies. We present a rare case of inflammatory breast cancer presenting in upper abdominal accessory breast tissue in women with a personal history of ipsilateral breast cancer, and highlight the challenges of both diagnosis and treatment of breast cancer in accessory breast tissue.

  19. Bisphosphonates for breast cancer.

    Science.gov (United States)

    Pavlakis, N; Schmidt, Rl; Stockler, M

    2005-07-20

    Bone is the most common site of metastatic disease associated with breast cancer affecting more than half of women during the course of their disease. Bone metastases are a significant cause of morbidity due to pain, pathological fractures, hypercalcaemia and spinal cord compression, and contribute to mortality. Bisphosphonates, which inhibit osteoclast-mediated bone resorption, are standard care for tumour-associated hypercalcaemia, and have been shown to reduce bone pain, improve quality of life, and to delay skeletal events and reduce their number in patients with multiple myeloma. Several randomized controlled trials have evaluated the role of bisphosphonates in breast cancer. To assess the effect of bisphosphonates on skeletal events, bone pain, quality of life and survival in women with early and advanced breast cancer. Randomized controlled trials were identified using the specialized register maintained by the Cochrane Breast Cancer Group (the search was applied to the databases Medline, Central/CCTR, Embase, CancerLit, and included handsearches from a number of other relevant sources). See: Cochrane Collaboration Collaborative Review Group in Breast Cancer search strategy. Randomized controlled trials evaluating skeletal events in women with metastatic breast cancer and early breast cancer comparing: 1. treatment with a bisphosphonate with the same treatment without a bisphosphonate 2. treatment with one bisphosphonate with treatment with a different bisphosphonate. Studies were selected by two independent reviewers. Studies fulfilling the eligibility criteria were evaluated for quality, particularly concealment of allocation to randomized groups. Data were extracted from the published papers or abstracts independently by the two primary reviewers for each of the specified endpoints (skeletal events, bone pain, quality of life and survival). Data on skeletal events and survival were presented as numbers of events, risk ratios and ratios of event rates

  20. 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.

  1. 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.

  2. 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.

  3. Herceptin® (trastuzumab) in HER2-positive early breast cancer: protocol for a systematic review and cumulative network meta-analysis.

    Science.gov (United States)

    Wilson, Florence R; Coombes, Megan E; Wylie, Quinlan; Yurchenko, Mariya; Brezden-Masley, Christine; Hutton, Brian; Skidmore, Becky; Cameron, Chris

    2017-10-10

    Human epidermal growth factor receptor 2-positive (HER2+) breast cancer is an aggressive disease that makes up about 20% of all invasive breast cancers. HER2+ breast cancer is associated with poor prognosis and high mortality rates, but the development of HER2-targeted therapies, such as originator trastuzumab (Herceptin®), has substantially improved patient survival. Numerous clinical trials and reviews have investigated the efficacy of HER2-targeted therapies over the past few decades; however, no study has specifically investigated the vast body of evidence on trastuzumab in comparison to chemotherapy regimens, endocrine therapies, and other targeted therapies. This systematic review and cumulative network meta-analysis (NMA) will synthesize available evidence to evaluate the survival benefit conferred by the addition of originator trastuzumab to standard chemotherapy and to compare the most widely used trastuzumab regimens in patients with HER2+ early breast cancer, based on results from randomized controlled trials (RCTs) and comparative observational studies. A systematic search of Embase, MEDLINE®, and the Cochrane Library has been designed by an experienced medical information specialist and peer reviewed by another senior information specialist. RCTs and comparative observational studies of patients with HER2+ early breast cancer indexed from 1990 onwards will be eligible for inclusion. Two investigators will independently assess studies for inclusion and use standardized data extraction templates to collect data on study and patient characteristics. The primary outcome of interest is overall survival. Bayesian cumulative NMA methods will be used to quantify the evolution of publicly available evidence using both fixed and random effects models. This study will evaluate survival trends associated with originator trastuzumab in patients with HER2+ early breast cancer. As originator trastuzumab has been researched in both clinical and real-world settings

  4. Identifying Grade/Stage-Related Active Modules in Human Co-regulatory Networks: A Case Study for Breast Cancer

    OpenAIRE

    Feng, Chenchen; Chen, Lina; Li, Wan; Wang, Hong; Zhang, Liangcai; Jia, Xu; Miao, Zhengqiang; Qu, Xiaoli; Li, Weiguo; He, Weiming

    2012-01-01

    The histological grade/stage of tumor is widely acknowledged as an important clinical prognostic factor for cancer progression. Recent experimental studies have explored the following two topics at the molecular level: (1) whether or not gene expression levels vary by different degrees among different tumor grades/stages, and (2) whether some well-defined modules could distinguish one grade/stage from another. In this article, using breast cancer as an example, we investigated this topic and ...

  5. Identification of Genes Associated with Breast Cancer Metastasis to Bone on a Protein-Protein Interaction Network with a Shortest Path Algorithm.

    Science.gov (United States)

    Cai, Yu-Dong; Zhang, Qing; Zhang, Yu-Hang; Chen, Lei; Huang, Tao

    2017-02-03

    Tumor metastasis is defined as the spread of tumor cells from one organ or part to another that is not directly connected to it, which significantly contributes to the progression and aggravation of tumorigenesis. Because it always involves multiple organs, the metastatic process is difficult to study in its entirety. Complete identification of the genes related to this process is an alternative way to study metastasis. In this study, we developed a computational method to identify such genes. To test our method, we selected breast cancer bone metastasis. A large network was constructed using human protein-protein interactions. On the basis of the validated genes related to breast and bone cancer, a shortest path algorithm was applied to the network to search for novel genes that may mediate breast cancer metastasis to bone. In addition, further rules constructed using the permutation FDR, the betweenness ratio, and the max-min interaction score were also employed in the method to make the inferred genes more reliable. Eighteen putative genes were identified by the method and were extensively analyzed. The confirmation results indicate that these genes participate in metastasis.

  6. Comparison of Neural Network and Linear Regression Models in Statistically Predicting Mental and Physical Health Status of Breast Cancer Survivors

    Science.gov (United States)

    2015-07-15

    emotional status, diet and exercise , fear of recurrence, fatigue, dizziness, urinary incontinence, lymphedema, children in the home, and number of...Nash J, Trask P. 2009. Exercise and relaxation intervention for breast cancer survivors: feasibility, acceptability and effects. Psychooncology 18:258...psychological symptoms endorsed were depressive symptoms, anxiety , pain, and fatigue; however, sleep problems, sexual difficulties, and cognitive

  7. Cancer statistics: Breast cancer in situ.

    Science.gov (United States)

    Ward, Elizabeth M; DeSantis, Carol E; Lin, Chun Chieh; Kramer, Joan L; Jemal, Ahmedin; Kohler, Betsy; Brawley, Otis W; Gansler, Ted

    2015-01-01

    An estimated 60,290 new cases of breast carcinoma in situ are expected to be diagnosed in 2015, and approximately 1 in 33 women is likely to receive an in situ breast cancer diagnosis in her lifetime. Although in situ breast cancers are relatively common, their clinical significance and optimal treatment are topics of uncertainty and concern for both patients and clinicians. In this article, the American Cancer Society provides information about occurrence and treatment patterns for the 2 major subtypes of in situ breast cancer in the United States-ductal carcinoma in situ and lobular carcinoma in situ-using data from the North American Association of Central Cancer Registries and the 13 oldest Surveillance, Epidemiology, and End Results registries. The authors also present an overview of in situ breast cancer detection, treatment, risk factors, and prevention and discuss research needs and initiatives. © 2015 American Cancer Society.

  8. Breast cancer risk factors

    Directory of Open Access Journals (Sweden)

    Marzena Kamińska

    2015-09-01

    Full Text Available Breast cancer is the most frequently diagnosed neoplastic disease in women around menopause often leading to a significant reduction of these women’s ability to function normally in everyday life. The increased breast cancer incidence observed in epidemiological studies in a group of women actively participating in social and professional life implicates the necessity of conducting multidirectional studies in order to identify risk factors associated with the occurrence of this type of neoplasm. Taking the possibility of influencing the neoplastic transformation process in individuals as a criterion, all the risk factors initiating the process can be divided into two groups. The first group would include inherent factors such as age, sex, race, genetic makeup promoting familial occurrence of the neoplastic disease or the occurrence of benign proliferative lesions of the mammary gland. They all constitute independent parameters and do not undergo simple modification in the course of an individual’s life. The second group would include extrinsic factors conditioned by lifestyle, diet or long-term medical intervention such as using oral hormonal contraceptives or hormonal replacement therapy and their influence on the neoplastic process may be modified to a certain degree. Identification of modifiable factors may contribute to development of prevention strategies decreasing breast cancer incidence.

  9. 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.

  10. Breast cancer statistics and markers

    Directory of Open Access Journals (Sweden)

    Mallika Siva Donepudi

    2014-01-01

    Full Text Available Breast cancer is one of the familiar diseases in women. Incidence and mortality due to cancer, particularly breast cancer has been increasing for last 50 years, even though there is a lacuna in the diagnosis of breast cancer at early stages. According to World Health Organization (WHO 2012 reports, breast cancer is the leading cause of death in women, accounting 23% of all cancer deaths. In Asia, one in every three women faces the risk of breast cancer in their lifetime as per reports of WHO 2012. Here, the review is been focused on different breast cancer markers, that is, tissue markers (hormone receptors, human epidermal growth factor-2, urokinase plasminogen activator, plasminogen activator inhibitor, p53 and cathepsin D, genetic markers (BRAC1 and 2 and gene expression microarray technique, etc., and serum markers (CA 15.3, BR 27.29, MCA, CA 549, carcinoembryonic antigen, oncoproteins, and cytokeratins used in present diagnosis, but none of the mentioned markers can diagnose breast cancer at an early stage. There is a disquieting need for the identification of best diagnosing marker, which can be able to diagnose even in early stage of breast carcinogenesis.

  11. Paclitaxel Albumin-Stabilized Nanoparticle Formulation in Treating Older Patients With Locally Advanced or Metastatic Breast Cancer

    Science.gov (United States)

    2017-08-18

    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

  12. Propranolol and survival from breast cancer: a pooled analysis of European breast cancer cohorts.

    Science.gov (United States)

    Cardwell, Chris R; Pottegård, Anton; Vaes, Evelien; Garmo, Hans; Murray, Liam J; Brown, Chris; Vissers, Pauline A J; O'Rorke, Michael; Visvanathan, Kala; Cronin-Fenton, Deirdre; De Schutter, Harlinde; Lambe, Mats; Powe, Des G; van Herk-Sukel, Myrthe P P; Gavin, Anna; Friis, Søren; Sharp, Linda; Bennett, Kathleen

    2016-12-01

    Preclinical studies have demonstrated that propranolol inhibits several pathways involved in breast cancer progression and metastasis. We investigated whether breast cancer patients who used propranolol, or other non-selective beta-blockers, had reduced breast cancer-specific or all-cause mortality in eight European cohorts. Incident breast cancer patients were identified from eight cancer registries and compiled through the European Cancer Pharmacoepidemiology Network. Propranolol and non-selective beta-blocker use was ascertained for each patient. Breast cancer-specific and all-cause mortality were available for five and eight cohorts, respectively. Cox regression models were used to calculate hazard ratios (HR) and 95% confidence intervals (CIs) for cancer-specific and all-cause mortality by propranolol and non-selective beta-blocker use. HRs were pooled across cohorts using meta-analysis techniques. Dose-response analyses by number of prescriptions were also performed. Analyses were repeated investigating propranolol use before cancer diagnosis. The combined study population included 55,252 and 133,251 breast cancer patients in the analysis of breast cancer-specific and all-cause mortality respectively. Overall, there was no association between propranolol use after diagnosis of breast cancer and breast cancer-specific or all-cause mortality (fully adjusted HR = 0.94, 95% CI, 0.77, 1.16 and HR = 1.09, 95% CI, 0.93, 1.28, respectively). There was little evidence of a dose-response relationship. There was also no association between propranolol use before breast cancer diagnosis and breast cancer-specific or all-cause mortality (fully adjusted HR = 1.03, 95% CI, 0.86, 1.22 and HR = 1.02, 95% CI, 0.94, 1.10, respectively). Similar null associations were observed for non-selective beta-blockers. In this large pooled analysis of breast cancer patients, use of propranolol or non-selective beta-blockers was not associated with improved survival.

  13. A Network-Based Data Integration Approach to Support Drug Repurposing and Multi-Target Therapies in Triple Negative Breast Cancer.

    Directory of Open Access Journals (Sweden)

    Francesca Vitali

    Full Text Available The integration of data and knowledge from heterogeneous sources can be a key success factor in drug design, drug repurposing and multi-target therapies. In this context, biological networks provide a useful instrument to highlight the relationships and to model the phenomena underlying therapeutic action in cancer. In our work, we applied network-based modeling within a novel bioinformatics pipeline to identify promising multi-target drugs. Given a certain tumor type/subtype, we derive a disease-specific Protein-Protein Interaction (PPI network by combining different data-bases and knowledge repositories. Next, the application of suitable graph-based algorithms allows selecting a set of potentially interesting combinations of drug targets. A list of drug candidates is then extracted by applying a recent data fusion approach based on matrix tri-factorization. Available knowledge about selected drugs mechanisms of action is finally exploited to identify the most promising candidates for planning in vitro studies. We applied this approach to the case of Triple Negative Breast Cancer (TNBC, a subtype of breast cancer whose biology is poorly understood and that lacks of specific molecular targets. Our "in-silico" findings have been confirmed by a number of in vitro experiments, whose results demonstrated the ability of the method to select candidates for drug repurposing.

  14. A Network-Based Data Integration Approach to Support Drug Repurposing and Multi-Target Therapies in Triple Negative Breast Cancer

    Science.gov (United States)

    Cohen, Laurie D.; Demartini, Andrea; Amato, Angela; Eterno, Vincenzo; Zambelli, Alberto; Bellazzi, Riccardo

    2016-01-01

    The integration of data and knowledge from heterogeneous sources can be a key success factor in drug design, drug repurposing and multi-target therapies. In this context, biological networks provide a useful instrument to highlight the relationships and to model the phenomena underlying therapeutic action in cancer. In our work, we applied network-based modeling within a novel bioinformatics pipeline to identify promising multi-target drugs. Given a certain tumor type/subtype, we derive a disease-specific Protein-Protein Interaction (PPI) network by combining different data-bases and knowledge repositories. Next, the application of suitable graph-based algorithms allows selecting a set of potentially interesting combinations of drug targets. A list of drug candidates is then extracted by applying a recent data fusion approach based on matrix tri-factorization. Available knowledge about selected drugs mechanisms of action is finally exploited to identify the most promising candidates for planning in vitro studies. We applied this approach to the case of Triple Negative Breast Cancer (TNBC), a subtype of breast cancer whose biology is poorly understood and that lacks of specific molecular targets. Our “in-silico” findings have been confirmed by a number of in vitro experiments, whose results demonstrated the ability of the method to select candidates for drug repurposing. PMID:27632168

  15. Breast and Colon Cancer Family Registries

    Science.gov (United States)

    The Breast Cancer Family Registry and the Colon Cancer Family Registry were established by the National Cancer Institute as a resource for investigators to use in conducting studies on the genetics and molecular epidemiology of breast and colon cancer.

  16. MicroRNA-519a is a novel oncomir conferring tamoxifen resistance by targeting a network of tumour-suppressor genes in ER+ breast cancer.

    Science.gov (United States)

    Ward, Aoife; Shukla, Kirti; Balwierz, Aleksandra; Soons, Zita; König, Rainer; Sahin, Ozgür; Wiemann, Stefan

    2014-08-01

    Tamoxifen is an endocrine therapy which is administered to up to 70% of all breast cancer patients with oestrogen receptor alpha (ERα) expression. Despite the initial response, most patients eventually acquire resistance to the drug. MicroRNAs (miRNAs) are a class of small non-coding RNAs which have the ability to post-transcriptionally regulate genes. Although the role of a few miRNAs has been described in tamoxifen resistance at the single gene/target level, little is known about how concerted actions of miRNAs targeting biological networks contribute to resistance. Here we identified the miRNA cluster, C19MC, which harbours around 50 mature miRNAs, to be up-regulated in resistant cells, with miRNA-519a being the most highly up-regulated. We could demonstrate that miRNA-519a regulates tamoxifen resistance using gain- and loss-of-function testing. By combining functional enrichment analysis and prediction algorithms, we identified three central tumour-suppressor genes (TSGs) in PI3K signalling and the cell cycle network as direct target genes of miR-519a. Combined expression of these target genes correlated with disease-specific survival in a cohort of tamoxifen-treated patients. We identified miRNA-519a as a novel oncomir in ER+ breast cancer cells as it increased cell viability and cell cycle progression as well as resistance to tamoxifen-induced apoptosis. Finally, we could show that elevated miRNA-519a levels were inversely correlated with the target genes' expression and that higher expression of this miRNA correlated with poorer survival in ER+ breast cancer patients. Hence we have identified miRNA-519a as a novel oncomir, co-regulating a network of TSGs in breast cancer and conferring resistance to tamoxifen. Using inhibitors of such miRNAs may serve as a novel therapeutic approach to combat resistance to therapy as well as proliferation and evasion of apoptosis in breast cancer. © 2014 The Authors. The Journal of Pathology published by John Wiley & Sons

  17. Fulvestrant and/or Anastrozole in Treating Postmenopausal Patients With Stage II-III Breast Cancer Undergoing Surgery

    Science.gov (United States)

    2018-01-12

    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

  18. 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.

  19. Hormones, Women and Breast Cancer

    Science.gov (United States)

    ... before age 12) or reached menopause late (after age 55). Breast cancer is more common among women who • Are older • ... 40. If you are at high risk for breast cancer, you should get an annual mammogram beginning at age 40. Talk with your provider about other screening ...

  20. 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...

  1. Danish Breast Cancer Cooperative Group

    DEFF Research Database (Denmark)

    Christiansen, Peer; Ejlertsen, Bent; Jensen, Maj-Britt

    2016-01-01

    AIM OF DATABASE: Danish Breast Cancer Cooperative Group (DBCG), with an associated database, was introduced as a nationwide multidisciplinary group in 1977 with the ultimate aim to improve the prognosis in breast cancer. Since then, the database has registered women diagnosed with primary invasive...

  2. Histopathological Types of Breast Cancer

    African Journals Online (AJOL)

    Morin”. On the average it represents the prevalence of breast cancer in southern part of Nigeria. The mean age of diagnosis of breast cancer in females in our series was 45.7 years. This age compares favourably With the mean age in other parts of Nigeria. In Calabar, South — South. Nigeria the mean age was found to be ...

  3. Do fatty breasts increase or decrease breast cancer risk?

    Science.gov (United States)

    Shepherd, John A; Kerlikowske, Karla

    2012-01-25

    Few studies have investigated the association of non-dense area or fatty breasts in conjunction with breast density and breast cancer risk. Two articles in a recent issue of Breast Cancer Research investigate the role of absolute non-dense breast area measured on mammograms and find conflicting results: one article finds that non-dense breast area has a modest positive association with breast cancer risk, whereas the other finds that non-dense breast area has a strong protective effect to reduce breast cancer risk. Understanding the interplay of body mass index, menopause status, and measurement of non-dense breast area would help to clarify the contribution of non-dense breast area to breast cancer risk.

  4. Classification of Microcalcifications for the Diagnosis of Breast Cancer Using Artificial Neural Networks

    National Research Council Canada - National Science Library

    Wu, Yuzheng

    1997-01-01

    .... A convolution neural network (CNN) was employed to classify benign and malignant microcalcifications in the radiographs of pathological specimen that were digitized at a high resolution of 21 microns x 21 microns...

  5. 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...

  6. 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...

  7. 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...

  8. Green Tea and Breast Cancer

    Science.gov (United States)

    Wu, Anna H; Butler, Lesley M

    2014-01-01

    The identification of modifiable lifestyle factors that could reduce the risk of breast cancer is a research priority. Despite the enormous chemo preventive potential of green tea and compelling evidence from animal studies, its role in breast cancer development in humans is still unclear. Part of the uncertainty is related to the relatively small number of epidemiological studies on green tea and breast cancer and that the overall results from case-control studies and prospective cohort studies are discordant. In addition, the mechanisms by which green tea intake may influence risk of breast cancer in humans remains not well studied. We review the human studies that have evaluated the relationship between green tea intake and four biomarkers (sex steroid hormones, mammographic density, insulin-like growth factor, adiponectin) that are believed to be important in breast cancer development. Results from these biomarker studies are also inconclusive. Limitations of human studies and areas of further investigations are discussed. PMID:21538855

  9. Pregnancy associated breast cancer and pregnancy after breast cancer treatment

    OpenAIRE

    Doğer, Emek; Çalışkan, Eray; Mallmann, Peter

    2011-01-01

    Breast cancer is one of the most common cancers diagnosed during pregnancy and its frequency is increasing as more women postpone their pregnancies to their thirties and forties. Breast cancer diagnosis during pregnancy and lactation is difficult and complex both for the patient and doctors. Delay in diagnosis is frequent and treatment modalities are difficult to accept for the pregnant women. The common treatment approach is surgery after diagnosis, chemotherapy after the first trimester and...

  10. Genetic risk of breast cancer.

    Science.gov (United States)

    Nasir, A; Shackelford, R E; Anwar, F; Yeatman, T J

    2009-12-01

    Several cutting-edge strategies are being used to evaluate candidate genetic risk factors for breast cancer. These include linkage analysis for mapping out BRCA1 and BRCA2, mutational screening of candidate risk genes like CHEK2, ATM, BRIP1 and PALB2, which are associated with an intermediate level of breast cancer risk. Genome-wide association studies have revealed several low-penetrance breast cancer risk alleles. The predisposition factors are associated with different levels of breast cancer risk. Relative to control population, the risk in patients harboring high-risk BRCA1 and 2 mutations is over 10-fold, with intermediate penetrance genes 2 to 4-fold and with low penetrance alleles less than 1.5-fold. Overall, these factors account for about 25% of the genetic risk for breast cancer. In the remainder, genetic factors to contribute to the risk of breast cancer remain unknown and are a subject of current investigation. With discovery and validation of newer and clinically relevant predisposition factors, additional breast cancer risk categories may be recognized. BRCA1 and BRCA2 mutation testing allows identification of individuals at increased risk of breast cancer who are offered risk-reducing interventions. Targeted therapies are being developed that may refine management of patients with BRCA1 and BRCA2 mutations. Further genome-wide studies are required to identify clinically relevant molecular factors that will allow more accurate and widely applicable genetic risk stratification. Current efforts in discovery, validation and qualification of molecular markers of breast cancer risk offer considerable promise in the future to develop more accurate breast cancer risk assessment along with development of more effective chemopreventive and therapeutic strategies.

  11. Functional Magnetic Resonance Imaging in Assessing Affect Reactivity and Regulation in Patients With Stage 0-III Breast Cancer

    Science.gov (United States)

    2017-02-27

    Healthy Subject; Stage 0 Breast Cancer; 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

  12. Integrative analysis of miRNA and gene expression reveals regulatory networks in tamoxifen-resistant breast cancer

    DEFF Research Database (Denmark)

    Joshi, Tejal; Elias, Daniel; Stenvang, Jan

    2016-01-01

    Tamoxifen is an effective anti-estrogen treatment for patients with estrogen receptor-positive (ER+) breast cancer, however, tamoxifen resistance is frequently observed. To elucidate the underlying molecular mechanisms of tamoxifen resistance, we performed a systematic analysis of mi......RNA-mediated gene regulation in three clinically-relevant tamoxifen-resistant breast cancer cell lines (TamRs) compared to their parental tamoxifen-sensitive cell line. Alterations in the expression of 131 miRNAs in tamoxifen-resistant vs. parental cell lines were identified, 22 of which were common to all Tam...... and 14-3-3 family genes. Integrating the inferred miRNA-target relationships, we investigated the functional importance of 2 central genes, SNAI2 and FYN, which showed increased expression in TamR cells, while their corresponding regulatory miRNA were downregulated. Using specific chemical inhibitors...

  13. Breast Tissue Composition and Susceptibility to Breast Cancer

    Science.gov (United States)

    Martin, Lisa J.; Bronskill, Michael; Yaffe, Martin J.; Duric, Neb; Minkin, Salomon

    2010-01-01

    Breast density, as assessed by mammography, reflects breast tissue composition. Breast epithelium and stroma attenuate x-rays more than fat and thus appear light on mammograms while fat appears dark. In this review, we provide an overview of selected areas of current knowledge about the relationship between breast density and susceptibility to breast cancer. We review the evidence that breast density is a risk factor for breast cancer, the histological and other risk factors that are associated with variations in breast density, and the biological plausibility of the associations with risk of breast cancer. We also discuss the potential for improved risk prediction that might be achieved by using alternative breast imaging methods, such as magnetic resonance or ultrasound. After adjustment for other risk factors, breast density is consistently associated with breast cancer risk, more strongly than most other risk factors for this disease, and extensive breast density may account for a substantial fraction of breast cancer. Breast density is associated with risk of all of the proliferative lesions that are thought to be precursors of breast cancer. Studies of twins have shown that breast density is a highly heritable quantitative trait. Associations between breast density and variations in breast histology, risk of proliferative breast lesions, and risk of breast cancer may be the result of exposures of breast tissue to both mitogens and mutagens. Characterization of breast density by mammography has several limitations, and the uses of breast density in risk prediction and breast cancer prevention may be improved by other methods of imaging, such as magnetic resonance or ultrasound tomography. PMID:20616353

  14. Exercise in Targeting Metabolic Dysregulation in Stage I-III Breast or Prostate Cancer Survivors

    Science.gov (United States)

    2017-09-12

    Cancer Survivor; No Evidence of Disease; Obesity; Overweight; Prostate Carcinoma; Sedentary Lifestyle; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage III Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  15. Exercise Intervention in Targeting Adiposity and Inflammation With Movement to Improve Prognosis in Breast Cancer

    Science.gov (United States)

    2017-12-18

    Cancer Survivor; Central Obesity; Estrogen Receptor Positive; Postmenopausal; Progesterone Receptor Positive; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage III Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  16. Biomarkers in Tissue Samples From Patients With Newly Diagnosed Breast Cancer Treated With Zoledronic Acid

    Science.gov (United States)

    2017-06-07

    Estrogen Receptor-positive Breast Cancer; Invasive Ductal Breast Carcinoma; Progesterone Receptor-positive Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer

  17. Aluminium, antiperspirants and breast cancer.

    Science.gov (United States)

    Darbre, P D

    2005-09-01

    Aluminium salts are used as the active antiperspirant agent in underarm cosmetics, but the effects of widespread, long term and increasing use remain unknown, especially in relation to the breast, which is a local area of application. Clinical studies showing a disproportionately high incidence of breast cancer in the upper outer quadrant of the breast together with reports of genomic instability in outer quadrants of the breast provide supporting evidence for a role for locally applied cosmetic chemicals in the development of breast cancer. Aluminium is known to have a genotoxic profile, capable of causing both DNA alterations and epigenetic effects, and this would be consistent with a potential role in breast cancer if such effects occurred in breast cells. Oestrogen is a well established influence in breast cancer and its action, dependent on intracellular receptors which function as ligand-activated zinc finger transcription factors, suggests one possible point of interference from aluminium. Results reported here demonstrate that aluminium in the form of aluminium chloride or aluminium chlorhydrate can interfere with the function of oestrogen receptors of MCF7 human breast cancer cells both in terms of ligand binding and in terms of oestrogen-regulated reporter gene expression. This adds aluminium to the increasing list of metals capable of interfering with oestrogen action and termed metalloestrogens. Further studies are now needed to identify the molecular basis of this action, the longer term effects of aluminium exposure and whether aluminium can cause aberrations to other signalling pathways in breast cells. Given the wide exposure of the human population to antiperspirants, it will be important to establish dermal absorption in the local area of the breast and whether long term low level absorption could play a role in the increasing incidence of breast cancer.

  18. Comparison of cardiac events associated with liposomal doxorubicin, epirubicin and doxorubicin in breast cancer: a Bayesian network meta-analysis.

    Science.gov (United States)

    Yamaguchi, Norihiro; Fujii, Takeo; Aoi, Shunsuke; Kozuch, Peter S; Hortobagyi, Gabriel N; Blum, Ronald H

    2015-11-01

    Anthracyclines play a broad and important role in the care of patients with either operable or metastatic breast cancer. However cardiotoxicity narrows the therapeutic index of this drug class leading to potentially clinically meaningful treatment delays or discontinuations. We conducted a Bayesian network meta-analysis, a validated statistical methodology, allowing direct and indirect comparison of cardiotoxicity of different anthracycline and non-anthracycline regimens. We conducted a systematic review of prospective randomised controlled trials through MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials and Google Scholar comparing non-anthracycline based regimens (NON), doxorubicin (DOX), epirubicin (EPI) and liposomal doxorubicin (LD). We included studies published up to 1st January 2014 in both adjuvant and metastatic contexts. Notably, HER2/neu-targeted regimens were excluded. We assessed the studies' eligibility criteria and data collection with consensus of two independent authors. Our primary outcome measure was cardiac events grade 3 or greater (CE3) in accordance with Common Terminology Criteria for Adverse Events (CTCAE) Version 4.0. A Bayesian pairwise and network meta-analysis was conducted to estimate pooled Odds Ratio (OR). Nineteen randomised controlled trials met eligibility criteria and were included in this analysis. We found a trend showing that LD is less cardiotoxic than DOX with an OR of 0.60 (95% confidence interval (CI) 0.34-1.07) There was no difference between Epi and LD with an OR of 0.95 (95%CI 0.39-2.33). DOX is more cardiotoxic than Non with an OR of 1.57 (95%CI 0.90-2.72). DOX has higher CE3 rates than NON does. LD statistically trended to lower cardiac event rates than DOX. Non-statistical significance among EPI, LD and DOX with regard to cardiac toxicity indicates that avoidance of CE3 should not motivate selection of a particular anthracycline in otherwise healthy women in whom total lifetime anthracycline exposure

  19. Efficacy and safety of a combination of HER2-targeted agents as first-line treatment for metastatic HER2-positive breast cancer: a network meta-analysis.

    Science.gov (United States)

    Leung, Henry W C; Leung, John-Hang; Chan, Agnes L F

    2018-01-01

    Using network meta-analysis, we assessed the efficacy and safety of a combination regimen of HER2-targeted agents as first-line treatment for metastatic HER2-positive breast cancer. We searched the Medline, Embase, and Cochrane Library electronic databases (through December 2016) for phase II/III randomized controlled trials that compared regimens of one or two HER2-targeted agents combined with trastuzumab or chemotherapy. A network meta-analysis including direct and indirect analyses was conducted in WinBUGS using fixed and random effects. Study quality was assessed following the Grading of Recommendations, Assessment, Development and Evaluations method. The primary outcome was overall survival. The network meta-analysis incorporated nine HER2-targeted regimens with 9 direct comparisons and 28 indirect comparisons for the main outcomes (8 studies; n = 3976). Combining direct and indirect effects showed significant increased efficacy of trastuzumab and docetaxel plus pertuzumab (TDP) over other regimens as first-line treatment. With indirect comparison of overall safety, TDP, TDM-1, and TDM-1 plus pertuzumab demonstrated a lower risk of grade 3-4 adverse events compared to other regimens. TDPs are a preferred first-line treatment for HER2-positive metastatic breast cancer compared with other target agent regimens.

  20. Having children after breast cancer.

    Science.gov (United States)

    Dow, K H

    1994-01-01

    Having children after breast cancer is an important clinical issue. Evidence from clinical studies on pregnancy subsequent to breast cancer has not shown a survival disadvantage. Clinical experience suggests that desire for children, support from family, and quality of life issues are also important factors in decisions about pregnancy. This qualitative study was done (1) to identify reasons why young women decide to become pregnant after breast cancer; (2) to describe concerns about subsequent pregnancy; (3) to describe helpful behaviors in decision making; and (4) to explore the meaning of having children after breast cancer. Twenty-three women were identified who had early-stage breast cancer and became pregnant after breast-conserving surgery and radiation therapy. Sixteen women participated in a semi-structured interview. Qualitative data were analyzed for content. Results indicate that pregnancy subsequent to breast cancer is a powerful stimulus for young women to "get well" again. Reasons for subsequent pregnancy were related to the women's developmental age. Young women expressed concerns about the potential for future disease recurrence, about breast self-examination and mammography during pregnancy, and about surviving to see their children grow up. Perceived helpful behaviors included developing a realistic perspective, living with uncertainty, love and support of spouse, and delineating differences between personal and medical decision making.

  1. 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.

  2. 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.

  3. Family History of Breast Cancer, Breast Density, and Breast Cancer Risk in a U.S. Breast Cancer Screening Population.

    Science.gov (United States)

    Ahern, Thomas P; Sprague, Brian L; Bissell, Michael C S; Miglioretti, Diana L; Buist, Diana S M; Braithwaite, Dejana; Kerlikowske, Karla

    2017-06-01

    Background: The utility of incorporating detailed family history into breast cancer risk prediction hinges on its independent contribution to breast cancer risk. We evaluated associations between detailed family history and breast cancer risk while accounting for breast density.Methods: We followed 222,019 participants ages 35 to 74 in the Breast Cancer Surveillance Consortium, of whom 2,456 developed invasive breast cancer. We calculated standardized breast cancer risks within joint strata of breast density and simple (1st-degree female relative) or detailed (first-degree, second-degree, or first- and second-degree female relative) breast cancer family history. We fit log-binomial models to estimate age-specific breast cancer associations for simple and detailed family history, accounting for breast density.Results: Simple first-degree family history was associated with increased breast cancer risk compared with no first-degree history [Risk ratio (RR), 1.5; 95% confidence interval (CI), 1.0-2.1 at age 40; RR, 1.5; 95% CI, 1.3-1.7 at age 50; RR, 1.4; 95% CI, 1.2-1.6 at age 60; RR, 1.3; 95% CI, 1.1-1.5 at age 70). Breast cancer associations with detailed family history were strongest for women with first- and second-degree family history compared with no history (RR, 1.9; 95% CI, 1.1-3.2 at age 40); this association weakened in higher age groups (RR, 1.2; 95% CI, 0.88-1.5 at age 70). Associations did not change substantially when adjusted for breast density.Conclusions: Even with adjustment for breast density, a history of breast cancer in both first- and second-degree relatives is more strongly associated with breast cancer than simple first-degree family history.Impact: Future efforts to improve breast cancer risk prediction models should evaluate detailed family history as a risk factor. Cancer Epidemiol Biomarkers Prev; 26(6); 938-44. ©2017 AACR. ©2017 American Association for Cancer Research.

  4. Breast Cancer: A preventable disease

    Directory of Open Access Journals (Sweden)

    Zoya Tahergorabi

    2014-08-01

    Full Text Available With regard to high cancer incidence, as one of the major mortality causes worldwide, following human societies industrialization in recent years breast cancer, dealt with in the present article, has got a particular impact on women who possess a pivotal role in family and society. Thus, adoption of effective diagnostic procedures in the early stages of the disease is very important, which must be considered as a substantial component of the strategies aimed at women’s health promotion and decreasing of breast cancer mortality rate. Meanwhile, women’s education and their awareness promotion and advising them to carry out different methods of breast cancer screening in the early stages of the symptoms, as preventive measures, play important roles. The present review article attempts to study prevalence and epidemiology of breast cancer, its risk factors and its different stages of prevention.

  5. Progress in breast cancer: overview.

    Science.gov (United States)

    Arteaga, Carlos L

    2013-12-01

    This edition of CCR Focus titled Research in Breast Cancer: Frontiers in Genomics, Biology, and Clinical Investigation reviews six topics that cover areas of translational research of high impact in breast cancer. These topics represent areas of breast cancer research where significant progress has occurred but also where very important challenges remain. The papers in this CCR Focus section are contributed by experts in the respective areas of investigation. Herein, key aspects of these contributions and the research directions they propose are reviewed. ©2013 AACR.

  6. 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. ...

  7. General Information about Male Breast Cancer

    Science.gov (United States)

    ... of the breast are also shown. A family history of breast cancer and other factors can increase ... and organs. This is called metastatic cancer. This animation shows how cancer cells travel from the place ...

  8. Treatment Option Overview (Male Breast Cancer)

    Science.gov (United States)

    ... of the breast are also shown. A family history of breast cancer and other factors can increase ... and organs. This is called metastatic cancer. This animation shows how cancer cells travel from the place ...

  9. 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...

  10. Breast cancer incidence in Mongolia.

    Science.gov (United States)

    Troisi, Rebecca; Altantsetseg, Dalkhjav; Davaasambuu, Ganmaa; Rich-Edwards, Janet; Davaalkham, Dambadarjaa; Tretli, Steinar; Hoover, Robert N; Frazier, A Lindsay

    2012-07-01

    Data on international variation in breast cancer incidence may help to identify additional risk factors. Substantially lower breast cancer rates in Asia than in North America and Western Europe are established, but differences within Asia have been largely ignored despite heterogeneity in lifestyles and environments. Mongolia's breast cancer experience is of interest because of its shared genetics but vastly different diet compared with other parts of Asia. Age-standardized breast cancer incidence and mortality rates obtained from the International Association of Cancer Registries are presented for several Asian countries. Mongolian incidence rates obtained from its cancer registry describe incidence within the country. Breast cancer incidence in Mongolia (age standardized 8.0/100,000) is almost a third of rates in China (21.6/100,000), and over five times that of Japan (42.7/100,000) and Russia (43.2/100,000). Rates within Mongolia appear to have increased slightly over the last decade and are higher in urban than rural areas (annual percentage increase of age-standardized rates from 1998 to 2005 was 3.60 and 2.57 %, respectively). The increase in breast cancer incidence with age plateaus at menopause, as in other Asian populations. Mongolia's low breast cancer incidence is of particular interest because of their unusual diet (primarily red meat and dairy) compared with other Asian countries. More intensive study of potential dietary, reproductive and lifestyle factors in Mongolia with comparison to other Asian populations may provide more clarity in what drives the international breast cancer rate differences.

  11. Miscellaneous syndromes and their management: occult breast cancer, breast cancer in pregnancy, male breast cancer, surgery in stage IV disease.

    Science.gov (United States)

    Colfry, Alfred John

    2013-04-01

    Surgical therapy for occult breast cancer has traditionally centered on mastectomy; however, breast conservation with whole breast radiotherapy followed by axillary lymph node dissection has shown equivalent results. Patients with breast cancer in pregnancy can be safely and effectively treated; given a patient's pregnancy trimester and stage of breast cancer, a clinician must be able to guide therapy accordingly. Male breast cancer risk factors show strong association with BRCA2 mutations, as well as Klinefelter syndrome. Several retrospective trials of surgical therapy in stage IV breast cancer have associated a survival advantage with primary site tumor extirpation. Copyright © 2013 Elsevier Inc. All rights reserved.

  12. Doxorubicin Hydrochloride, Cyclophosphamide, and Filgrastim Followed By Paclitaxel Albumin-Stabilized Nanoparticle Formulation With or Without Trastuzumab in Treating Patients With Breast Cancer Previously Treated With Surgery

    Science.gov (United States)

    2017-08-30

    Estrogen Receptor-positive Breast Cancer; HER2-positive Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer

  13. Breast Cancer by the Numbers

    OpenAIRE

    2014-01-01

    The American Cancer Society estimates that 40,000 women will die from breast cancer this year. But thanks to steady progress in the war on cancer, millions of U.S. women with a history of the disease are alive today. Key statistics on survival rates, therapies in use, and treatment costs are provided.

  14. 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 ...

  15. Hormones, Women and Breast Cancer

    Science.gov (United States)

    ... women who • Are older • Have no children • Delayed pregnancy until after age 30 • Have used combination hormone therapy (estrogen plus progestin) for more than five years • Have a mother, sister, or daughter who has had breast cancer Did you know? Breast pain alone is not ...

  16. Association of breast cancer risk loci with breast cancer survival.

    Science.gov (United States)

    Barrdahl, Myrto; Canzian, Federico; Lindström, Sara; Shui, Irene; Black, Amanda; Hoover, Robert N; Ziegler, Regina G; Buring, Julie E; Chanock, Stephen J; Diver, W Ryan; Gapstur, Susan M; Gaudet, Mia M; Giles, Graham G; Haiman, Christopher; Henderson, Brian E; Hankinson, Susan; Hunter, David J; Joshi, Amit D; Kraft, Peter; Lee, I-Min; Le Marchand, Loic; Milne, Roger L; Southey, Melissa C; Willett, Walter; Gunter, Marc; Panico, Salvatore; Sund, Malin; Weiderpass, Elisabete; Sánchez, María-José; Overvad, Kim; Dossus, Laure; Peeters, Petra H; Khaw, Kay-Tee; Trichopoulos, Dimitrios; Kaaks, Rudolf; Campa, Daniele

    2015-12-15

    The survival of breast cancer patients is largely influenced by tumor characteristics, such as TNM stage, tumor grade and hormone receptor status. However, there is growing evidence that inherited genetic variation might affect the disease prognosis and response to treatment. Several lines of evidence suggest that alleles influencing breast cancer risk might also be associated with breast cancer survival. We examined the associations between 35 breast cancer susceptibility loci and the disease over-all survival (OS) in 10,255 breast cancer patients from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3) of which 1,379 died, including 754 of breast cancer. We also conducted a meta-analysis of almost 35,000 patients and 5,000 deaths, combining results from BPC3 and the Breast Cancer Association Consortium (BCAC) and performed in silico analyses of SNPs with significant associations. In BPC3, the C allele of LSP1-rs3817198 was significantly associated with improved OS (HRper-allele =0.70; 95% CI: 0.58-0.85; ptrend  = 2.84 × 10(-4) ; HRheterozygotes  = 0.71; 95% CI: 0.55-0.92; HRhomozygotes  = 0.48; 95% CI: 0.31-0.76; p2DF  = 1.45 × 10(-3) ). In silico, the C allele of LSP1-rs3817198 was predicted to increase expression of the tumor suppressor cyclin-dependent kinase inhibitor 1C (CDKN1C). In the meta-analysis, TNRC9-rs3803662 was significantly associated with increased death hazard (HRMETA =1.09; 95% CI: 1.04-1.15; ptrend  = 6.6 × 10(-4) ; HRheterozygotes  = 0.96 95% CI: 0.90-1.03; HRhomozygotes  = 1.21; 95% CI: 1.09-1.35; p2DF =1.25 × 10(-4) ). In conclusion, we show that there is little overlap between the breast cancer risk single nucleotide polymorphisms (SNPs) identified so far and the SNPs associated with breast cancer prognosis, with the possible exceptions of LSP1-rs3817198 and TNRC9-rs3803662. © 2015 UICC.

  17. Understanding your breast cancer risk

    Science.gov (United States)

    ... BRCA2, and others increase your risk. Gene mutations account for about 10% of all breast cancer cases. ... urac.org). URAC's accreditation program is an independent audit to verify that A.D.A.M. follows ...

  18. 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...

  19. Danish Breast Cancer Cooperative Group

    DEFF Research Database (Denmark)

    Christiansen, Peer; Ejlertsen, Bent; Jensen, Maj-Britt

    2016-01-01

    AIM OF DATABASE: Danish Breast Cancer Cooperative Group (DBCG), with an associated database, was introduced as a nationwide multidisciplinary group in 1977 with the ultimate aim to improve the prognosis in breast cancer. Since then, the database has registered women diagnosed with primary invasive...... nonmetastatic breast cancer. The data reported from the departments to the database included details of the characteristics of the primary tumor, of surgery, radiotherapy, and systemic therapies, and of follow-up reported on specific forms from the departments in question. DESCRIPTIVE DATA: From 1977 through...... 2014, ~110,000 patients are registered in the nationwide, clinical database. The completeness has gradually improved to more than 95%. DBCG has continuously prepared evidence-based guidelines on diagnosis and treatment of breast cancer and conducted quality control studies to ascertain the degree...

  20. Palbociclib for Advanced Breast Cancer

    Science.gov (United States)

    An interim analysis of the PALOMA3 trial shows that women with hormone receptor-positive metastatic breast cancer who received palbociclib plus fulvestrant had longer progression-free survival rates than women who received a placebo plus fulvestrant.

  1. Does Aluminium Trigger Breast Cancer?

    Directory of Open Access Journals (Sweden)

    Peter Jennrich

    2016-08-01

    Full Text Available Summary. Breast cancer is by far the most common cancer in women in the western world. In 90% of breast cancers, environmental factors are among the causes. The frequency with which the tumour occurs in the outer upper part of the breast has risen with above average rates in recent decades. Aluminium salts as ingredients in deodorants and antiperspirants are being absorbed by the body to a greater extent than hitherto assumed. Their toxicity for healthy and diseased breast tissue cells includes various well-documented pathomechanisms. In the sense of primary and secondary prevention, the cancer-triggering potential of aluminium and its use in anti-perspirant deodorants must be re-evaluated. For the same reason the access to a targeted diagnosis and treatment of aluminium loading must be facilitated.

  2. Melatonin, Aging and Breast Cancer

    National Research Council Canada - National Science Library

    Hill, Steven

    2001-01-01

    ... conditions for tumor induction, promotion and progression. The pineal gland, via its hormone melatonin, has been shown by numerous laboratories to inhibit the proliferation of both human and animal models of breast cancer...

  3. BREAST CANCER, DERMATOFIBROMAS AND ARSENIC

    OpenAIRE

    Dantzig Paul

    2009-01-01

    Background: Dermatofibromas are common benign tumors in women, and breast cancer is the most common malignancy in women. The aim of this study is to determine if there is any relationship between the two conditions. Materials and Methods: Five patients with dermatofibromas and 10 control patients (two groups) had their skin biopsies measured for arsenic by inductively coupled mass spectrometry. Fifty randomly selected patients with breast cancer and 50 control patients were examined for...

  4. Breast and cervical cancer screening programme implementation in 16 countries

    DEFF Research Database (Denmark)

    Dowling, Emily C; Klabunde, Carrie; Patnick, Julietta

    2010-01-01

    There is a continuing need to monitor and evaluate the impact of organized screening programmes on cancer incidence and mortality. We report results from a programme assessment conducted within the International Cancer Screening Network (ICSN) to understand the characteristics of cervical screening...... programmes within countries that have established population-based breast cancer screening programmes....

  5. Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.

    Science.gov (United States)

    Li, Hui; Giger, Maryellen L; Huynh, Benjamin Q; Antropova, Natalia O

    2017-10-01

    To evaluate deep learning in the assessment of breast cancer risk in which convolutional neural networks (CNNs) with transfer learning are used to extract parenchymal characteristics directly from full-field digital mammographic (FFDM) images instead of using computerized radiographic texture analysis (RTA), 456 clinical FFDM cases were included: a "high-risk" BRCA1/2 gene-mutation carriers dataset (53 cases), a "high-risk" unilateral cancer patients dataset (75 cases), and a "low-risk dataset" (328 cases). Deep learning was compared to the use of features from RTA, as well as to a combination of both in the task of distinguishing between high- and low-risk subjects. Similar classification performances were obtained using CNN [area under the curve [Formula: see text]; standard error [Formula: see text

  6. Usage of case-based reasoning, neural network and adaptive neuro-fuzzy inference system classification techniques in breast cancer dataset classification diagnosis.

    Science.gov (United States)

    Huang, Mei-Ling; Hung, Yung-Hsiang; Lee, Wen-Ming; Li, R K; Wang, Tzu-Hao

    2012-04-01

    Breast cancer is a common to females worldwide. Today, technological advancements in cancer treatment innovations have increased the survival rates. Many theoretical and experimental studies have shown that a multiple classifier system is an effective technique for reducing prediction errors. This study compared the particle swarm optimizer (PSO) based artificial neural network (ANN), the adaptive neuro-fuzzy inference system (ANFIS), and a case-based reasoning (CBR) classifier with a logistic regression model and decision tree model. It also applied three classification techniques to the Mammographic Mass Data Set, and measured its improvements in accuracy and classification errors. The experimental results showed that, the best CBR-based classification accuracy is 83.60%, and the classification accuracies of the PSO-based ANN classifier and ANFIS are 91.10% and 92.80%, respectively.

  7. Breast cancer epigenetics: review article

    Directory of Open Access Journals (Sweden)

    Bahareh Abbasi

    2016-11-01

    Full Text Available Stable molecular changes during cell division without any change in the sequence of DNA molecules is known as epigenetic. Molecular mechanisms involved in this process, including histone modifications, methylation of DNA, protein complex and RNA antisense. Cancer genome changes happen through a combination of DNA hypermethylation, long-term epigenetic silencing with heterozygosis loss and genomic regions loss. Different combinations of N-terminal’s changes cooperate with histone variants with a specific role in gene regulation. It have led to load a setting histone that determine transcription potential of a particular gene or genomic regions. DNA methylation analysis in genome region using methylation-specific digital karyotyping of normal breast tissue detect gene expression patterns and DNA specific methylation can be found in breast carcinoma too more than 100 genes in breast tumors or cell lines of breast cancer are reported hypermethylated. Important of DNA methylation on cancer has been concentrated CpG islands hypermethylation. Most of the techniques are able to identify hypermethylated areas. Often, methylated genes play important role in cell cycle regulation, apoptosis, metastasis and tissue invasion, angiogenesis and hormonal signaling. Cyclin D2 (CCND2 gene is an important regulator of cell cycle and increased of expression inhibits the transition from G1 to S cell cycle. This gene is frequently methylated in breast cancer and has been proposed as the first event. Other cell cycle regulator is p16ink4A / CDKN2A that methylated in a large number of human cancers, including breast cancer. Another regulator of the proliferation of breast cancer that methylated is tumor suppressor RAR-β cancer that has been found in lobular and ductal carcinoma. Recent studies have showed the role of epigenetic silencing in the pathogenesis of breast cancer in which tumor suppressor genes have been changed by acetylation and DNA deacetylation

  8. Murine model of hepatic breast cancer.

    Science.gov (United States)

    Rikhi, Rishi; Wilson, Elizabeth M; Deas, Olivier; Svalina, Matthew N; Bial, John; Mansoor, Atiya; Cairo, Stefano; Keller, Charles

    2016-12-01

    Breast cancer is the most common cancer in women and the second leading cause of cancer-related deaths in this population. Breast cancer related deaths have declined due to screening and adjuvant therapies, yet a driving clinical need exists to better understand the cause of the deadliest aspect of breast cancer, metastatic disease. Breast cancer metastasizes to several distant organs, the liver being the third most common site. To date, very few murine models of hepatic breast cancer exist. In this study, a novel murine model of liver breast cancer using the MDA-MB-231 cell line is introduced as an experimental (preclinical) model. Histological typing revealed consistent hepatic breast cancer tumor foci. Common features of the murine model were vascular invasion, lung metastasis and peritoneal seeding. The novel murine model of hepatic breast cancer established in this study provides a tool to be used to investigate mechanisms of hepatic metastasis and to test potential therapeutic interventions.

  9. Breast cancer, dermatofibromas and arsenic.

    Science.gov (United States)

    Dantzig, Paul I

    2009-01-01

    Dermatofibromas are common benign tumors in women, and breast cancer is the most common malignancy in women. The aim of this study is to determine if there is any relationship between the two conditions. Five patients with dermatofibromas and 10 control patients (two groups) had their skin biopsies measured for arsenic by inductively coupled mass spectrometry. Fifty randomly selected patients with breast cancer and 50 control patients were examined for the presence of dermatofibromas. The dermatofibromas were found to have an arsenic concentration of 0.171 micrograms/gram, compared with 0.06 and 0.07 micrograms/gram of the two control groups. Forty-three out of 50 patients with breast cancer had dermatofibromas and 32/50 patients with breast cancer had multiple dermatofibromas, compared to 10/50 control patients with dermatofibromas and only 1/50 with multiple dermatofibromas. Arsenic is important in the development of dermatofibromas and dermatofibromas represent a reservoir and important sign of chronic arsenic exposure. Dermatofibromas represent an important sign for women at risk for breast cancer, and arsenic may represent the cause of the majority of cases of breast cancer.

  10. Breast cancer, dermatofibromas and arsenic

    Directory of Open Access Journals (Sweden)

    Dantzig Paul

    2009-01-01

    Full Text Available Background: Dermatofibromas are common benign tumors in women, and breast cancer is the most common malignancy in women. The aim of this study is to determine if there is any relationship between the two conditions. Materials and Methods: Five patients with dermatofibromas and 10 control patients (two groups had their skin biopsies measured for arsenic by inductively coupled mass spectrometry. Fifty randomly selected patients with breast cancer and 50 control patients were examined for the presence of dermatofibromas. Results: The dermatofibromas were found to have an arsenic concentration of 0.171 micrograms/gram, compared with 0.06 and 0.07 micrograms/gram of the two control groups. Forty-three out of 50 patients with breast cancer had dermatofibromas and 32/50 patients with breast cancer had multiple dermatofibromas, compared to 10/50 control patients with dermatofibromas and only 1/50 with multiple dermatofibromas. Conclusions: Arsenic is important in the development of dermatofibromas and dermatofibromas represent a reservoir and important sign of chronic arsenic exposure. Dermatofibromas represent an important sign for women at risk for breast cancer, and arsenic may represent the cause of the majority of cases of breast cancer.

  11. Alcohol metabolism in human cells causes DNA damage and activates the Fanconi anemia – breast cancer susceptibility (FA-BRCA) DNA damage response network

    Science.gov (United States)

    Abraham, Jessy; Balbo, Silvia; Crabb, David; Brooks, P.J.

    2011-01-01

    Background We recently reported that exposure of human cells in vitro to acetaldehyde resulted in activation of the Fanconi anemia-breast cancer associated (FA-BRCA) DNA damage response network. Methods To determine whether intracellular generation of acetaldehyde from ethanol metabolism can cause DNA damage and activate the FA-BRCA network, we engineered HeLa cells to metabolize alcohol by expression of human alcohol dehydrogenase 1B. Results Incubation of HeLa-ADH1B cells with ethanol (20 mM) resulted in acetaldehyde accumulation in the media which was prevented by co-incubation with 4-methyl pyrazole (4-MP), a specific inhibitor of ADH. Ethanol treatment of HeLa-ADH1B cells produced a 4-fold increase in the acetaldehyde-DNA adduct, N2-ethylidene-dGuo, and also resulted in activation of the Fanconi anemia -breast cancer susceptibility (FA-BRCA) DNA damage response network, as indicated by a monoubiquitination of FANCD2, and phosphorylation of BRCA1. Ser 1524 was identified as one site of BRCA1 phosphorylation. The increased levels of DNA adducts, FANCD2 monoubiquitination, and BRCA1 phosphorylation were all blocked by 4-MP, indicating that acetaldehyde, rather than ethanol itself, was responsible for all three responses. Importantly, the ethanol concentration we used is within the range that can be attained in the human body during social drinking. Conclusions Our results indicate that intracellular metabolism of ethanol to acetaldehyde results in DNA damage which activates the FA-BRCA DNA damage response network. PMID:21919919

  12. Prognosis of pregnancy-associated breast cancer.

    Science.gov (United States)

    Lee, Guek Eng; Mayer, Erica L; Partridge, Ann

    2017-06-01

    Conventionally, breast cancer diagnosed during pregnancy and within the years following have been referred to collectively as pregnancy-associated breast cancer. However, increasing evidence suggests that breast cancer diagnosed during pregnancy is a different entity from that diagnosed postpartum, both in terms of prognosis and biology. Given the increasing number of women who find themselves diagnosed with breast cancer during or following a pregnancy, future research and discussion should separate these two into distinct groups: breast cancer diagnosed during pregnancy and breast cancer diagnosed postpartum in an effort to enhance our understanding to inform and improve clinical management and counseling.

  13. Integration of breast cancer gene signatures based on graph centrality.

    Science.gov (United States)

    Wang, Jianxin; Chen, Gang; Li, Min; Pan, Yi

    2011-01-01

    Various gene-expression signatures for breast cancer are available for the prediction of clinical outcome. However due to small overlap between different signatures, it is challenging to integrate existing disjoint signatures to provide a unified insight on the association between gene expression and clinical outcome. In this paper, we propose a method to integrate different breast cancer gene signatures by using graph centrality in a context-constrained protein interaction network (PIN). The context-constrained PIN for breast cancer is built by integrating complete PIN and various gene signatures reported in literatures. Then, we use graph centralities to quantify the importance of genes to breast cancer. Finally, we get reliable gene signatures that are consisted by the genes with high graph centrality. The genes which are well-known breast cancer genes, such as TP53 and BRCA1, are ranked extremely high in our results. Compared with previous results by functional enrichment analysis, graph centralities, especially the eigenvector centrality and subgraph centrality, based gene signatures are more tightly related to breast cancer. We validate these signatures on genome-wide microarray dataset and found strong association between the expression of these signature genes and pathologic parameters. In summary, graph centralities provide a novel way to connect different cancer signatures and to understand the mechanism of relationship between gene expression and clinical outcome of breast cancer. Moreover, this method is not only can be used on breast cancer, but also can be used on other gene expression related diseases and drug studies.

  14. Occupational exposure and risk of breast cancer

    OpenAIRE

    Fenga, Concettina

    2016-01-01

    Breast cancer is a multifactorial disease and the most commonly diagnosed cancer in women. Traditional risk factors for breast cancer include reproductive status, genetic mutations, family history and lifestyle. However, increasing evidence has identified an association between breast cancer and occupational factors, including environmental stimuli. Epidemiological and experimental studies demonstrated that ionizing and non-ionizing radiation exposure, night-shift work, pesticides, polycyclic...

  15. Advocacy groups for breast cancer patients.

    OpenAIRE

    Waller, M.; Batt, S

    1995-01-01

    Breast cancer patient advocacy groups emerged in the 1990s to support and empower women with breast cancer. Women with cancer and oncologists tend to have divergent perspectives on how breast cancer prevention should be defined and what the priorities for research should be. As their American counterparts have done, breast cancer patient advocates in Canada are seeking greater participation in decision making with respect to research. To date they have had more input into research policy deci...

  16. Danish Breast Cancer Cooperative Group

    Directory of Open Access Journals (Sweden)

    Christiansen P

    2016-10-01

    Full Text Available Peer Christiansen,1 Bent Ejlertsen,2,3 Maj-Britt Jensen,3 Henning Mouridsen3 1Department of Surgery P, Breast Surgery Unit, Aarhus University Hospital/Randers Regional Hospital, Aarhus C, 2Department of Oncology, Rigshospitalet, Copenhagen University Hospital, 3DBCG-secretariat, Department 2501, Rigshospitalet, Copenhagen Ø, Denmark Aim of database: Danish Breast Cancer Cooperative Group (DBCG, with an associated database, was introduced as a nationwide multidisciplinary group in 1977 with the ultimate aim to improve the prognosis in breast cancer. Since then, the database has registered women diagnosed with primary invasive nonmetastatic breast cancer. The data reported from the departments to the database included details of the characteristics of the primary tumor, of surgery, radiotherapy, and systemic therapies, and of follow-up reported on specific forms from the departments in question. Descriptive data: From 1977 through 2014, ~110,000 patients are registered in the nationwide, clinical database. The completeness has gradually improved to more than 95%. DBCG has continuously prepared evidence-based guidelines on diagnosis and treatment of breast cancer and conducted quality control studies to ascertain the degree of adherence to the guidelines in the different departments. Conclusion: Utilizing data from the DBCG database, a long array of high-quality DBCG studies of various designs and scope, nationwide or in international collaboration, have contributed to the current updating of the guidelines, and have been an instrumental resource in the improvement of management and prognosis of breast cancer in Denmark. Thus, since the establishment of DBCG, the prognosis in breast cancer has continuously improved with a decrease in 5-year mortality from ~37% to 15%. Keywords: breast cancer, database, guidelines, quality control, research

  17. [Hereditary breast and ovarian cancer].

    Science.gov (United States)

    Lax, S F

    2017-05-01

    Hereditary breast and ovarian carcinomas are frequently caused by germline mutations of the BRCA1 and BRCA2 genes (BRCA1/2 syndromes) and are often less associated with other hereditary syndromes such as Li-Fraumeni and Peutz-Jeghers. The BRCA1/2 proteins have a special role in DNA repair. Therefore, loss of function due to mutation causes an accumulation of mutations in other genes and subsequent tumorigenesis at an early age. BRCA1/2 mutations are irregularly distributed over the length of the genes without hot spots, although special mutations are known. Breast and ovarian cancer occur far more frequently in women with BRCA1/2 germline mutations compared with the general population. Breast cancer occurs increasingly from the age of 30, ovarian cancer in BRCA1 syndrome from the age of 40 and BRCA2 from the age of 50. Suspicion of a BRCA syndrome should be prompted in the case of clustering of breast cancer in 1st degree relatives, in particular at a young age, if breast and ovarian cancer have occurred, and if cases of male breast cancer are known. Breast carcinomas with medullary differentiation seem to predominate in BRCA syndromes, but other carcinoma types may also occur. BRCA germline mutations seem to occur frequently in triple-negative breast carcinomas, whereas an association with ductal carcinoma in situ (DCIS) is rare. Ovarian carcinomas in BRCA syndromes are usually high-grade serous, mucinous carcinomas and borderline tumors are unusual. Pathology plays a special role within the multidisciplinary team in the recognition of patients with hereditary cancer syndromes.

  18. Dutch digital breast cancer screening: implications for breast cancer care.

    Science.gov (United States)

    Timmers, Johanna M; den Heeten, Gerard J; Adang, Eddy M; Otten, Johannes D; Verbeek, André L; Broeders, Mireille J

    2012-12-01

    In comparison to other European population-based breast cancer screening programmes, the Dutch programme has a low referral rate, similar breast cancer detection and a high breast cancer mortality reduction. The referral rate in the Netherlands has increased over time and is expected to rise further, mainly following nationwide introduction of digital mammography, completed in 2010. This study explores the consequences of the introduction of digital mammography on the balance between referral rate, detection of breast cancer, diagnostic work-up and associated costs. Detailed information on diagnostic work-up (chart review) was obtained from referred women (n = 988) in 2000-06 (100% analogue mammography) and 2007 (75% digital mammography) in Nijmegen, the Netherlands. The average referral rate increased from 15 (2000-06) to 34 (2007) per 1000 women screened. The number of breast cancers detected increased from 5.5 to 7.8 per 1000 screens, whereas the positive predictive value fell from 37% to 23%. A sharp rise in diagnostic work-up procedures and total diagnostic costs was seen. On the other hand, costs of a single work-up slightly decreased, as less surgical biopsies were performed. Our study shows that a low referral rate in combination with the introduction of digital mammography affects the balance between referral rate and detection rate and can substantially influence breast cancer care and associated costs. Referral rates in the Netherlands are now more comparable to other countries. This effect is therefore of value in countries where implementation of digital breast cancer screening has just started or is still under discussion.

  19. Awareness and current knowledge of breast cancer.

    Science.gov (United States)

    Akram, Muhammad; Iqbal, Mehwish; Daniyal, Muhammad; Khan, Asmat Ullah

    2017-10-02

    Breast cancer remains a worldwide public health dilemma and is currently the most common tumour in the globe. Awareness of breast cancer, public attentiveness, and advancement in breast imaging has made a positive impact on recognition and screening of breast cancer. Breast cancer is life-threatening disease in females and the leading cause of mortality among women population. For the previous two decades, studies related to the breast cancer has guided to astonishing advancement in our understanding of the breast cancer, resulting in further proficient treatments. Amongst all the malignant diseases, breast cancer is considered as one of the leading cause of death in post menopausal women accounting for 23% of all cancer deaths. It is a global issue now, but still it is diagnosed in their advanced stages due to the negligence of women regarding the self inspection and clinical examination of the breast. This review addresses anatomy of the breast, risk factors, epidemiology of breast cancer, pathogenesis of breast cancer, stages of breast cancer, diagnostic investigations and treatment including chemotherapy, surgery, targeted therapies, hormone replacement therapy, radiation therapy, complementary therapies, gene therapy and stem-cell therapy etc for breast cancer.

  20. Benign Breast Disease: Toward Molecular Prediction of Breast Cancer Risk

    Science.gov (United States)

    2006-06-01

    at the initial biopsy, the strength of the family history, meno- pausal status, and histologic findings of the biop- sy, as compared with expected...breast cancers for 646/758 (85%) of the cases. We assessed the significance of benign histology in predicting risk of future breast cancer, examining...TERMS Benign Breast Disease, Biomarkers, Histology , Breast Cancer 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18. NUMBER OF

  1. Epidemiology of breast cancer subtypes in two prospective cohort studies of breast cancer survivors

    National Research Council Canada - National Science Library

    Kwan, Marilyn L; Kushi, Lawrence H; Weltzien, Erin; Maring, Benjamin; Kutner, Susan E; Fulton, Regan S; Lee, Marion M; Ambrosone, Christine B; Caan, Bette J

    2009-01-01

    The aim of this study was to describe breast tumor subtypes by common breast cancer risk factors and to determine correlates of subtypes using baseline data from two pooled prospective breast cancer...

  2. Ethics, Risk, and Media Intervention: Women's Breast Cancer in Venezuela.

    Science.gov (United States)

    Eid, Mahmoud; Nahon-Serfaty, Isaac

    2015-07-01

    Breast cancer incidence and mortality rates are of concern among Latin American women, mainly due to the growing prevalence of this disease and the lack of compliance to proper breast cancer screening and treatment. Focusing on Venezuelan women and the challenges and barriers that interact with their health communication, this paper looks into issues surrounding women's breast cancer, such as the challenges and barriers to breast cancer care, the relevant ethics and responsibilities, the right to health, breast cancer risk perception and risk communication, and the media interventions that affect Venezuelan women's perceptions and actions pertaining to this disease. In particular, it describes an action-oriented research project in Venezuela that was conducted over a four-year period of collaborative work among researchers, practitioners, NGOs, patients, journalists, and policymakers. The outcomes include positive indications on more effective interactions between physicians and patients, increasing satisfactions about issues of ethical treatment in providing healthcare services, more sufficient and responsible media coverage of breast cancer healthcare services and information, a widely supported declaration for a national response against breast cancer in Venezuela, and the creation of a code of ethics for the Venezuelan NGO that led the expansion of networking in support of women's breast cancer healthcare.

  3. Endocrine determinants of breast density and breast cancer

    NARCIS (Netherlands)

    Verheus, M.

    2007-01-01

    Worldwide, breast cancer is the most common malignancy among females. The total breast area on a mammogram can be dived in a radiologicaly dense area (glandular and stromal tissue) and a non-dense area (mainly fat tissue). Women with a high proportion of dense breast tissue (percent breast density)

  4. Endocrine Therapy of Breast Cancer

    Science.gov (United States)

    2009-06-01

    Penninger JM, Kroemer G. AIF and cyclophilin A coop- erate in apoptosis-associated chromatinolysis. Oncogene 2004; 23:1514–1521. Cardoso F, Durbecq V, Laes ...effects of estrogen and antie- strogen on in vitro clonogenic growth of human breast cancers in soft agar, J. Natl. Cancer Inst. 82 (1990) 1146–1149

  5. Efficacy and safety of endocrine monotherapy as first-line treatment for hormone-sensitive advanced breast cancer: A network meta-analysis.

    Science.gov (United States)

    Zhang, Jingwen; Huang, Yanhong; Wang, Changyi; He, Yuanfang; Zheng, Shukai; Wu, Kusheng

    2017-08-01

    Endocrine therapy was recommended as the preferred first-line treatment for hormone receptor-positive (HR+, i.e., ER+ and/or PgR+), human epidermal growth factor receptor-2-negative (HER2-) postmenopausal advanced breast cancer (ABC), but which endocrine monotherapy is optimal lacks consensus. We aimed to identify the optimal endocrine monotherapy with a network meta-analysis. We performed a network meta-analysis for a comprehensive analysis of 6 first-line endocrine monotherapies (letrozole, anastrozole, exemestane, tamoxifen, fulvestrant 250 mg and 500 mg) for HR+ HER2- metastatic or locally advanced breast cancer in postmenopausal patients. The main outcomes were objective response rate (ORR), time to progression (TTP), and progression-free survival (PFS). Secondary outcomes were adverse events. We identified 27 articles of 8 randomized controlled trials including 3492 patients in the network meta-analysis. For ORR, the treatments ranked in descending order of effectiveness were letrozole > exemestane > anastrozole > fulvestrant 500 mg > tamoxifen > fulvestrant 250 mg. For TTP/PFS, the order was fulvestrant 500 mg > letrozole > anastrozole > exemestane > tamoxifen > fulvestrant 250 mg. We directly compared adverse events and found that tamoxifen produced more hot flash events than fulvestrant 250 mg. Fulvestrant 500 mg and letrozole might be optimal first-line endocrine monotherapy choices for HR+ HER2- ABC because of efficacious ORR and TTP/PFS, with a favorable tolerability profile. However, direct comparisons among endocrine monotherapies in the first-line therapy setting are still required to robustly demonstrate any differences among these endocrine agents. Clinical choices should also depend on the specific disease situation and duration of endocrine therapy.

  6. [A case management programme for women with breast cancer: results of a written survey of participating medical and non-medical networking-partners].

    Science.gov (United States)

    Büscher, C; Thorenz, A; Grochocka, A; Koch, U; Watzke, B

    2011-12-01

    Breast cancer patients are as a rule in need of a multiple sequential in-patient, day-patient and out-patient permanent treatment. The required care demands a trans-sectoral networking of all multi-professional persons involved in diagnostics, therapies, rehabilitation and aftercare. A method to develop the integration of treatment processes, as well as thereby resulting in increased effectiveness and efficiency, can constitute the concept of case management. A prerequisite for an effective implementation of case management and thus the starting point of the present survey is a well-functioning network encompassing optimal cooperation. Within the framework of the evaluation of the case management-based integrated care model "mammaNetz" for women with mamma carcinoma as a whole and against the background of the potential for innovation and improvement of case management on the one hand as well as the existence of only few empirical data otherwise, the present survey of members of a trans-sectoral network of the service centre was accomplished. Medical and non-medical networking partners of the service centre (N=168) were questioned by regular mail about different aspects of the cooperation. Identical items in both surveys were compared. The return rate for the medical networking partners is about 59% (n=35), whereby only medical network partners in private practice participated in the survey. For the non-medical networking partners about 60% (n=66) participated. Medical networking partners assess the cooperation with the service centre in reference to the exchange of information slightly more positively (66%) than the non-medical networking partners (59%). Medical networking partners are in significantly more frequent contact with the service centre and see in the cooperation significantly more advantages for their own office/facility (each with p=0.001) than non-medical networking partners. Overall the results suggest that medical as well as non-medical networking

  7. Women with Disabilities and Breast Cancer Screening

    Science.gov (United States)

    ... Reasonable Accommodations (RA) Women with Disabilities and Breast Cancer Screening Language: English (US) Español (Spanish) Recommend on Facebook ... Mammogram During the Past Two Years 1 Breast Cancer Screening Recommendations 2 If you are between the ages ...

  8. Avoiding risk information about breast cancer.

    Science.gov (United States)

    Melnyk, Darya; Shepperd, James A

    2012-10-01

    Learning about personal risk can provide numerous benefits yet people sometimes opt to remain ignorant. Two studies examined the role of perceived control, coping resources, and anticipated regret in women's decision to avoid breast cancer risk information. Women completed a health inventory and then read a brochure about either controllable or uncontrollable predictors of breast cancer, or received no brochure. Participants then received an opportunity to learn their lifetime risk for breast cancer based on their inventory responses. Reading about controllable predictors of breast cancer reduced avoidance of risk information compared with reading about uncontrollable predictors or receiving no information. In addition, fewer coping resources, anticipated greater regret over seeking breast cancer risk information, and less regret over avoiding breast cancer risk information predicted information avoidance. Reading about controllable predictors of breast cancer reduces avoidance of breast cancer risk information.

  9. Breast Cancer and Estrogen-Alone Update

    Science.gov (United States)

    ... Current Issue Past Issues Research News From NIH Breast Cancer and Estrogen-Alone Update Past Issues / Summer 2006 ... hormone therapy does not increase the risk of breast cancer in postmenopausal women, according to an updated analysis ...

  10. Research Training in Biopsychosocial Breast Cancer Research

    National Research Council Canada - National Science Library

    Andrykowski, Michael

    2004-01-01

    ...) in biopsychosocial breast cancer (BC) research. During the 5-year project period, 6 predoctoral and 2 postdoctoral trainees were appointed to the training program and received training in biopsychosocial breast cancer research...

  11. Breast Cancer Epidemiology in Puerto Rico

    National Research Council Canada - National Science Library

    Nazario, Cruz M; Freudenheim, Jo

    2008-01-01

    This project has two mayor goals: to design and conduct a pilot case-control breast cancer study among Puerto Rican women, and to train and develop researchers in breast cancer at the University of Puerto Rico...

  12. Breast Cancer Screening in Denmark

    DEFF Research Database (Denmark)

    Jørgensen, Karsten Juhl; Gøtzsche, Peter C; Kalager, Mette

    2017-01-01

    Background: Effective breast cancer screening should detect early-stage cancer and prevent advanced disease. Objective: To assess the association between screening and the size of detected tumors and to estimate overdiagnosis (detection of tumors that would not become clinically relevant). Design......) and nonadvanced (≤20 mm) breast cancer tumors in screened and nonscreened women were measured. Two approaches were used to estimate the amount of overdiagnosis: comparing the incidence of advanced and nonadvanced tumors among women aged 50 to 84 years in screening and nonscreening areas; and comparing...... rate ratio, 1.49 [95% CI, 1.43 to 1.54]). The first estimation approach found that 271 invasive breast cancer tumors and 179 ductal carcinoma in situ (DCIS) lesions were overdiagnosed in 2010 (overdiagnosis rate of 24.4% [including DCIS] and 14.7% [excluding DCIS]). The second approach, which accounted...

  13. THERAPEUTIC OPTIONS FOR BREAST CANCER

    Directory of Open Access Journals (Sweden)

    Milena Georgescu

    2011-12-01

    Full Text Available Breast cancer remains a major public health problem, being the second cause of cancer death in women. There is a marked tendency to restrict the extension of surgical gesture, which directly leads to two different attitudes: radical surgery and conservative surgery, to which, at least in our country, there are still some delays. Prospective and retrospective studies have shown that, in 20 years, conservative and radical therapy had about the same rate of survival and disease-free interval, at least for stage I and II breast cancer, the only real counterargument against conservative surgery being that, in principle, the higher rate of recurrence local constraint can be solved by postoperative radiotherapy. Finally, the survival rate is the main parameter of evaluation, assessing the effectiveness of the treatment in breast cancer, and in all its other forms.

  14. Heavy Metal Exposure in Predicting Peripheral Neuropathy in Patients With Stage I-III Breast Cancer Undergoing Chemotherapy

    Science.gov (United States)

    2017-06-14

    Male Breast Cancer; Neurotoxicity; Peripheral Neuropathy; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  15. Fulvestrant and Palbociclib in Treating Older Patients With Hormone Responsive Breast Cancer That Cannot Be Removed by Surgery

    Science.gov (United States)

    2016-09-21

    Estrogen Receptor and/or Progesterone Receptor Positive; HER2/Neu Negative; 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

  16. Minocycline Hydrochloride in Reducing Chemotherapy Induced Depression and Anxiety in Patients With Stage I-III Breast Cancer

    Science.gov (United States)

    2017-08-07

    Anxiety Disorder; Depression; Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  17. Genetic susceptibility to breast cancer.

    Science.gov (United States)

    Mavaddat, Nasim; Antoniou, Antonis C; Easton, Douglas F; Garcia-Closas, Montserrat

    2010-06-01

    Genetic and lifestyle/environmental factors are implicated in the aetiology of breast cancer. This review summarizes the current state of knowledge on rare high penetrance mutations, as well as moderate and low-penetrance genetic variants implicated in breast cancer aetiology. We summarize recent discoveries from large collaborative efforts to combine data from candidate gene studies, and to conduct genome-wide association studies (GWAS), primarily in breast cancers in the general population. These findings are compared with results from collaborative efforts aiming to identify genetic modifiers in BRCA1 and BRCA2 carriers. Breast cancer is a heterogeneous disease, and tumours from BRCA1 and BRCA2 carriers display distinct pathological characteristics when compared with tumours unselected for family history. The relationship between genetic variants and pathological subtypes of breast cancer, and the implication of discoveries of novel genetic variants to risk prediction in BRCA1/2 mutation carriers and in populations unselected for mutation carrier status, are discussed. (c) 2010. Published by Elsevier B.V.

  18. Evaluate Risk/Benefit of Nab Paclitaxel in Combination With Gemcitabine and Carboplatin Compared to Gemcitabine and Carboplatin in Triple Negative Metastatic Breast Cancer (or Metastatic Triple Negative Breast Cancer)

    Science.gov (United States)

    2017-06-05

    Breast Tumor; Breast Cancer; Cancer of the Breast; Estrogen Receptor- Negative Breast Cancer; HER2- Negative Breast Cancer; Progesterone Receptor- Negative Breast Cancer; Recurrent Breast Cancer; Stage IV Breast Cancer; Triple-negative Breast Cancer; Triple-negative Metastatic Breast Cancer; Metastatic Breast Cancer

  19. Breast Cancer: Modelling and Detection

    OpenAIRE

    Gavaghan, D. J.; Brady, J. M.; Behrenbruch, C. P.; Highnam, R. P.; Maini, P. K.

    2002-01-01

    This paper reviews a number of the mathematical models used in cancer modelling and then chooses a specific cancer, breast carcinoma, to illustrate how the modelling can be used in aiding detection. We then discuss mathematical models that underpin mammographic image analysis, which complements models of tumour growth and facilitates diagnosis and treatment of cancer. Mammographic images are notoriously difficult to interpret, and we give an overview of the primary image enhancement technolog...

  20. Knowledge, awareness, and practices concerning breast cancer ...

    African Journals Online (AJOL)

    Background: Breast cancer is by far the most frequent cancer of women. However the preventive measures for such problem are probably less than expected. Objectives: The objectives of this study are to assess the breast cancer knowledge and awareness and factors associated with the practice of breast self examination ...

  1. Search for new breast cancer susceptibility genes

    NARCIS (Netherlands)

    Oldenburg, Rogier Abel

    2008-01-01

    This thesis describes the search for new high-risk breast cancer susceptibility genes by linkage analysis. To date 20-25% of familial breast cancer is explained by mutations in the high-risk BRCA1 and BRCA2 breast cancer susceptibility genes. For the remaining families the genetic etiology is

  2. Internet Use and Breast Cancer Survivors

    Science.gov (United States)

    Muhamad, Mazanah; Afshari, Mojgan; Mohamed, Nor Aini

    2011-01-01

    A survey was administered to 400 breast cancer survivors at hospitals and support group meetings in Peninsular Malaysia to explore their level of Internet use and factors related to the Internet use by breast cancer survivors. Findings of this study indicated that about 22.5% of breast cancer survivors used Internet to get information about breast…

  3. Pregnancy and abortion in breast cancer patients

    African Journals Online (AJOL)

    Breast cancer in pregnancy is by itself not an indication for abortion. We document the case histories of 2 patients with breast cancer (recurrent or advanced) who elected to carry pregnancies to term. Pregnancy concurrent with or subsequent to breast cancer is not associated with a worse prognosis than would be observed ...

  4. Dermatologic radiotherapy and breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Goldschmidt, H.; Gorson, R.O.; Lassen, M.

    1982-03-01

    This study was set up to provide quantitative data to evaluate unsubstantiated claims that improper dermatologic radiation techniques may cause breast cancer. A thin mylar window ionization rate meter placed at the location of the right breast of an Alderson-RANDO anthropomorphic phantom was used to measure direct and scatter radiation reaching the female breast during radiotherapy of the facial region (as given for acne). The results indicate that scatter doses are very small; they are influenced by radiation quality and the use or nonuse of a treatment cone. Quantitative risk estimates show that the very small risk of breast cancer induction can be reduced even further by the use of proper radiation protection measures.

  5. Trastuzumab Emtansine in Treating Older Patients With Human Epidermal Growth Factor Receptor 2-Positive Stage I-III Breast Cancer

    Science.gov (United States)

    2018-02-01

    Estrogen Receptor Status; HER2 Positive Breast Carcinoma; Progesterone Receptor Status; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage III Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  6. Multiparametric Breast MRI of Breast Cancer

    Science.gov (United States)

    Rahbar, Habib; Partridge, Savannah C.

    2015-01-01

    Synopsis Breast MRI has increased in popularity over the past two decades due to evidence for its high sensitivity for cancer detection. Current clinical MRI approaches rely on the use of a dynamic contrast enhanced (DCE-MRI) acquisition that facilitates morphologic and semi-quantitative kinetic assessments of breast lesions. The use of more functional and quantitative parameters, such as pharmacokinetic features from high temporal resolution DCE-MRI, apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) on diffusion weighted MRI, and choline concentrations on MR spectroscopy, hold promise to broaden the utility of MRI and improve its specificity. However, due to wide variations in approach among centers for measuring these parameters and the considerable technical challenges, robust multicenter data supporting their routine use is not yet available, limiting current applications of many of these tools to research purposes. PMID:26613883

  7. Computerized detection of breast cancer with artificial intelligence and thermograms.

    Science.gov (United States)

    Ng, E Y-K; Fok, S C; Peh, Y C; Ng, F C; Sim, L S J

    2002-01-01

    This paper shows the concurrent use of thermography and artificial neural networks (ANN) for the diagnosis of breast cancer, a disease that is growing in prominence in women all over the world. It has been reported that breast thermography itself could detect breast cancer up to 10 years earlier than the conventional golden methods such as mammography, in particular in the younger patient. However, the accuracy of thermography is dependent on many factors such as the symmetry of the breasts' temperature and temperature stability. A woman's body temperature is known to be stable in certain periods after menstruation and it was found that the accuracy of thermography in women whose thermal images are taken in a suitable period (5th - 12th and 21st day of menstruation) is higher (80%) than the total population of patients (73%). The stability of the body temperature will depend on physiological state. This paper examines the use of ANN to complement the infrared heat radiating from the surface of the body with other physiological data. Four backpropagation neural networks were developed and trained using the results from the Singapore General Hospital patients' physiological data and thermographs. Owing to the inaccuracies found in thermography and the low population size gathered for this project, the networks developed could only accurately diagnose about 61.54% of the breast cancer cases. Nevertheless, the basic neural network framework has been established and it has great potential for future development of an intelligent breast cancer diagnosis system. This would be especially useful to the teenagers and young adults who are unsuitable for mammography at a young age. An intelligent breast thermography-neural network will be able to give an accurate diagnosis of breast cancer and can make a positive impact on breast disease detection.

  8. [Breast cancer: new therapeutic strategies].

    Science.gov (United States)

    Espie, M

    1998-12-12

    NEED FOR NEW CHEMOTHERAPY AGENTS: Metastasic breast cancer is an excellent model for studying anticancer agents: chemotherapy or hormonotherapy or compounds modifying the organism's response. If no adjuvant treatment is given after locoregional treatment of breast cancer, metastasis will develop within 10 years in 30% of the patients free of initial nodal invasion and within 5 years in 50% of the patients with initial nodal invasion. ADJUVANT TREATMENTS: Hormonotherapy and chemotherapy reduce mortality due to breast cancer by 10%. New adjuvant agents have been recently introduced. Taxans (docetaxel, paclitaxel) are the most active molecules since antracyclines. New aromataase inhibitors include letrozole and anastrozole. Their efficacy has been demonstrated in phase II and phase III trials, allowing their experimentation as adjuvant treatments.

  9. Breast cancer: demands of illness.

    Science.gov (United States)

    Loveys, B J; Klaich, K

    1991-01-01

    This study explores the qualitative experience of illness demands from the woman's own perspective by asking, "What is the impact of breast cancer on the daily lives of women of childbearing age?" Semistructured interviews with 79 women newly diagnosed with breast cancer were transcribed and analyzed to discern illness demands. Content analysis yielded 14 domains of illness demands: treatment issues, change in life context or perspective, acceptance of the illness, social interaction or support, physical changes, reconstructing the self, uncertainty, loss, making comparisons, acquiring new knowledge, making choices, mortality issues, financial or occupational concerns, and making a contribution. Illness demands are experienced in every aspect of a woman's life, including her identity, daily routines, family and social experience, and her perception of the past, present, and future. This study details in the women's own language the considerable adjustments brought on by a diagnosis of breast cancer.

  10. Breast cancer circulating tumor cells

    Directory of Open Access Journals (Sweden)

    Maria Joao Carvalho

    2011-12-01

    Full Text Available Metastasization of breast cancer involves various mechanisms responsible for progression from invasive lesion to dissemination in distant organs. Regional lymph node metastasization was considered an initial step in this process, but it is now recognized that hematogenous dissemination is a deviation from lymphatic circulation. The detection of circulating tumor cells (CTC is an aim in several oncology areas. For this purpose, several techniques have been used to detect CTC, including the use of antibodies and techniques with nucleic acids. This study reviews the published studies considering the detection of breast cancer CTC. There are focused the difficulties in identifying a CTC in a heterogeneous population, the handling of the sample, criteria of positivity, analytical techniques, and specific markers. There are systematized various specific markers of breast cancer cells also the problems with false positive results. Finally, we hypothesize clinical applications either as a prognostic marker or as a therapeutic response monitor.

  11. Risk-based Breast Cancer Screening: Implications of Breast Density.

    Science.gov (United States)

    Lee, Christoph I; Chen, Linda E; Elmore, Joann G

    2017-07-01

    The approach to breast cancer screening has changed over time from a general approach to a more personalized, risk-based approach. Women with dense breasts, one of the most prevalent risk factors, are now being informed that they are at increased risk of developing breast cancer and should consider supplemental screening beyond mammography. This article reviews the current evidence regarding the impact of breast density relative to other known risk factors, the evidence regarding supplemental screening for women with dense breasts, supplemental screening options, and recommendations for physicians having shared decision-making discussions with women who have dense breasts. Copyright © 2017 Elsevier Inc. All rights reserved.

  12. Tumor Heterogeneity in Breast Cancer

    Science.gov (United States)

    Turashvili, Gulisa; Brogi, Edi

    2017-01-01

    Breast cancer is a heterogeneous disease and differs greatly among different patients (intertumor heterogeneity) and even within each individual tumor (intratumor heterogeneity). Clinical and morphologic intertumor heterogeneity is reflected by staging systems and histopathologic classification of breast cancer. Heterogeneity in the expression of established prognostic and predictive biomarkers, hormone receptors, and human epidermal growth factor receptor 2 oncoprotein is the basis for targeted treatment. Molecular classifications are indicators of genetic tumor heterogeneity, which is probed with multigene assays and can lead to improved stratification into low- and high-risk groups for personalized therapy. Intratumor heterogeneity occurs at the morphologic, genomic, transcriptomic, and proteomic levels, creating diagnostic and therapeutic challenges. Understanding the molecular and cellular mechanisms of tumor heterogeneity that are relevant to the development of treatment resistance is a major area of research. Despite the improved knowledge of the complex genetic and phenotypic features underpinning tumor heterogeneity, there has been only limited advancement in diagnostic, prognostic, or predictive strategies for breast cancer. The current guidelines for reporting of biomarkers aim to maximize patient eligibility for targeted therapy, but do not take into account intratumor heterogeneity. The molecular classification of breast cancer is not implemented in routine clinical practice. Additional studies and in-depth analysis are required to understand the clinical significance of rapidly accumulating data. This review highlights inter- and intratumor heterogeneity of breast carcinoma with special emphasis on pathologic findings, and provides insights into the clinical significance of molecular and cellular mechanisms of heterogeneity. PMID:29276709

  13. Reconstruction for breast cancer in a nutshell.

    Science.gov (United States)

    Harmer, Victoria

    Breast cancer is a disease many will experience. Depending on the size of the cancer, the size of the host breast, and whether it is multi-focal, a mastectomy may be recommended as part of the treatment. If this is the case, an immediate breast reconstruction may be offered. This article will describe the three main types of breast reconstruction and discuss pertinent issues regarding this, including complications, surgery to the other (contraleteral) breast and potential psychological implications of this surgery.

  14. Genetic heterogeneity in breast cancer susceptibility.

    Science.gov (United States)

    Andersen, T I

    1996-01-01

    Approximately 20% of breast cancer patients have a family history of the disease, and in one-fourth of these cases breast cancer appears to be inherited as an autosomally dominant trait. Five genes and gene regions involved in breast cancer susceptibility have been uncovered. Germ-line mutations in the recently cloned BRCA1 gene at 17q21 is considered to be responsible for the disease in a majority of the breast-ovarian cancer families and in 40-45% of the site-specific breast cancer families, but appears not to be involved in families with both male and female breast cancer cases. The BRCA2 locus at 13q12-q13 appears to be involved in 40-45% of the site-specific breast cancer families, and in most of the families with affected males. The gene located in this region, however, does not seem to confer susceptibility to ovarian cancer. The TP53 gene is involved in breast cancer development in the Li-Fraumeni syndrome and Li-Fraumeni syndrom-like families, whereas germ-line mutations in the androgen receptor (AR) gene is present in a subset of male breast cancers. Furthermore, females who are obligate carriers of ataxia telangiectasia (AT) have a 4-12 times relative risk of developing breast cancer as compared with the general female population, indicating that germ-line mutations in AT also confer susceptibility to breast cancer.

  15. Nanoparticle-based Paclitaxel vs Solvent-based Paclitaxel as Part of Neoadjuvant Chemotherapy for Early Breast Cancer (GeparSepto)

    Science.gov (United States)

    2016-10-11

    Tubular Breast Cancer Stage II; Mucinous Breast Cancer Stage II; Breast Cancer Female NOS; Invasive Ductal Breast Cancer; Tubular Breast Cancer Stage III; HER-2 Positive Breast Cancer; Inflammatory Breast Cancer Stage IV; Inflammatory Breast Cancer

  16. Antiangiogenic therapy for breast cancer

    DEFF Research Database (Denmark)

    Nielsen, D.L.; Andersson, M.; Andersen, Jon Alexander Lykkegaard

    2010-01-01

    and optimal use of these agents for the treatment of breast cancer. Currently, the most promising approach has been the use of bevacizumab, a humanized monoclonal antibody directed against the most potent pro-angiogenic factor, vascular endothelial growth factor (VEGF). Small molecular inhibitors of VEGF...... tyrosine kinase activity, such as sorafenib, appear promising. While, the role of sunitinib and inhibitors of mammalian target of rapamycin (mTOR) in breast cancer has to be defined. Several unanswered questions remain, such as choice of drug(s), optimal duration of therapy and patient selection criteria...

  17. Paclitaxel (Taxol) in breast cancer.

    Science.gov (United States)

    Arbuck, S G; Dorr, A; Friedman, M A

    1994-02-01

    Paclitaxel (Taxol) is a diterpine plant compound that was isolated initially from the bark of the western yew tree, Taxus brevifolia, but can now be produced by semisynthesis from a renewable source. Paclitaxel is the first new agent in the past decade to have confirmed single agent activity in breast cancer in excess of 50%. A 28% response rate has been reported in doxorubicin-refractory patients. Ongoing studies include attempts to combine paclitaxel with other drugs used for breast cancer treatment and with radiation.

  18. Quality indicators for breast cancer

    DEFF Research Database (Denmark)

    Poortmans, Philip; Aznar, Marianne; Bartelink, Harry

    2012-01-01

    Radiation therapy for breast cancer has considerably changed over the years, from simple simulator-based 2-dimensional techniques to sophisticated image-guided individualized treatments, with maximally protected normal structures. This has led to a substantial improvement in the outcome of breast...... cancer patients in terms of disease control, survival, and quality of life. This progress is based on clinical research and paralleled by progress in delivering sophisticated radiation treatment. Clinical trials resulted in identifying patients groups who will benefit from radiation treatment. They also...

  19. 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...... estimate of overdiagnosis. Screening affects cohorts of screened women. Danish registers allow very accurate mapping of the fate of every woman. We should be past the phase where studies of overdiagnosis are based on the fixed age groups from routine statistics....

  20. An update on inflammatory breast cancer

    Directory of Open Access Journals (Sweden)

    P. Thapaliya

    2011-12-01

    Full Text Available Inflammatory breast cancer is one of the most aggressive forms of breast cancer. Once considered to be a uniformly fatal disease, treatment of this entity has evolved significantly over the last two decades. In this article, we review the epidemiology, pathology, biologic underpinnings, radiologic advances, and treatment modalities for inflammatory breast cancer. Updates in surgical therapy, medical oncologic therapy and radiation therapy are reviewed. Emphasis is on cutting edge information regarding inflammatory breast cancer. The management of inflammatory breast cancer is best served by a multidisciplinary team. Continued research into molecular pathways and potential targets is imperative. Future clinical trials should include evaluation of conventional therapy with targeted therapies.

  1. Breast cancer epidemiology and risk factors

    Energy Technology Data Exchange (ETDEWEB)

    Broeders, M. J. M.; Verbeek, A. L. M. [Nijmegen, Univ. (Netherlands). Dept. of Epidemiology

    1997-09-01

    Breast cancer is the most common malignancy among women in the Western society. Over the past decades it has become apparent that breast cancer incidence rates are increasing steadily, whereas the mortality rates for breast cancer have remained relatively constant. Information through the media on this rising number of cases has increased breast health awareness but has also introduced anxiety in the female population. This combination of factors has made the need for prevention of breast cancer an urgent matter. Breast cancer does not seem to be a single disease entity. A specific etiologic factor may therefore have more influence on one form may therefore have more influence on one form of breast cancer than another. So far though, as shown in their summary of current knowledge on established and dubious risk factors, no risk factors have been identified that can explain a major part of the incidence. Efforts to identify other ways for primary prevention have also been discouraging, even though breast cancer is one of the most investigated tumours world-wide. Thus, at this point i time, the most important strategy to reduce breast cancer mortality is early detection through individual counselling and organised breast screening programs. The recent isolation of breast cancer susceptibility genes may introduce new ways to reduce the risk of breast cancer in a small subset of women.

  2. The breast cancer and the environment research centers: transdisciplinary research on the role of the environment in breast cancer etiology.

    Science.gov (United States)

    Hiatt, Robert A; Haslam, Sandra Z; Osuch, Janet

    2009-12-01

    We introduce and describe the Breast Cancer and the Environment Research Centers (BCERC), a research network with a transdisciplinary approach to elucidating the role of environmental factors in pubertal development as a window on breast cancer etiology. We describe the organization of four national centers integrated into the BCERC network. Investigators use a common conceptual framework based on multiple levels of biologic, behavioral, and social organization across the life span. The approach connects basic biologic studies with rodent models and tissue culture systems, a coordinated multicenter epidemiologic cohort study of prepubertal girls, and the integration of community members of breast cancer advocates as key members of the research team to comprise the network. Relevant literature is reviewed that describes current knowledge across levels of organization. Individual research questions and hypotheses in BCERC are driven by gaps in our knowledge that are presented at genetic, metabolic, cellular, individual, and environmental (physical and social) levels. As data collection on the cohort, animal experiments, and analyses proceed, results will be synthesized through a transdisciplinary approach. Center investigators are addressing a large number of specific research questions related to early pubertal onset, which is an established risk factor for breast cancer. BCERC research findings aimed at the primary prevention of breast cancer will be disseminated to the scientific community and to the public by breast cancer advocates, who have been integral members of the research process from its inception.

  3. Breast Cancer: Current Molecular Therapeutic Targets and New Players.

    Science.gov (United States)

    Nagini, Siddavaram

    2017-01-01

    Breast cancer is the most common cancer and the most frequent cause of cancer death among women worldwide. Breast cancer is a complex, heterogeneous disease classified into hormone-receptor-positive, human epidermal growth factor receptor-2 overexpressing (HER2+) and triple-negative breast cancer (TNBC) based on histological features. Endocrine therapy, the mainstay of treatment for hormone-responsive breast cancer involves use of selective estrogen receptor modulators (SERMs), selective estrogen receptor downregulators (SERDs) and aromatase inhibitors (AIs). Agents that target estrogen receptor (ER) and HER2 such as tamoxifen and trastuzumab have been the most extensively used therapeutics for breast cancer. Crosstalk between ER and other signalling networks as well as epigenetic mechanisms have been envisaged to contribute to endocrine therapy resistance. TNBC, a complex, heterogeneous, aggressive form of breast cancer in which the cells do not express ER, progesterone receptor or HER2 is refractory to therapy. Several molecular targets are being explored to target TNBC including androgen receptor, epidermal growth factor receptor (EGFR), poly(ADP-ribose) polymerase (PARP), and vascular endothelial growth factor (VEGF). Receptors, protein tyrosine kinases, phosphatases, proteases, PI3K/Akt signalling pathway, microRNAs (miRs) and long noncoding RNAs (lncRNAs) are potential therapeutic targets. miR-based therapeutic approaches include inhibition of oncomiRs by antisense oligonucleotides, restoration of tumour suppressors using miR mimics, and chemical modification of miRs. The lnRNAs HOTAIR, SPRY4-IT1, GAS5, and PANDAR, new players in tumour development and prognosis may have theranostic applications in breast cancer. Several novel classes of mechanism-based drugs have been designed and synthesised for treatment of breast cancer. Integration of nucleic acid sequencing studies with mass spectrometry-based peptide sequencing and posttranslational modifications as

  4. Ten Years of Tamoxifen Reduces Breast Cancer Recurrences, Improves Survival

    Science.gov (United States)

    ... Years of Tamoxifen Reduces Breast Cancer Recurrences, Improves Survival For some women with breast cancer , taking adjuvant ... Years of Tamoxifen Reduces Breast Cancer Recurrences, Improves Survival was originally published by the National Cancer Institute.” ...

  5. Ultrasound screening of contralateral breast after surgery for breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Seung Ja [Department of Radiology, Seoul Metropolitan Government Seoul National University, Boramae Medical Center (Korea, Republic of); Chung, Se-Yeong; Chang, Jung Min; Cho, Nariya [Department of Radiology, Seoul National University Hospital (Korea, Republic of); Han, Wonshik [Department of Surgery, Seoul National University Hospital (Korea, Republic of); Moon, Woo Kyung, E-mail: moonwk@snu.ac.kr [Department of Radiology, Seoul National University Hospital (Korea, Republic of)

    2015-01-15

    Highlights: • The addition of supplemental US to mammography depicted additional 5.0 cancers per 1000 postoperative women. • Positive biopsy rate of mammography-detected lesions was 66.7% (4 of 6) and that of US-detected lesions was 40.0% (6 of 15). • US can be helpful to detect mammographically occult breast cancer in the contralateral breast in women with previous history of cancer and dense breast. - Abstract: Objective: To determine whether supplemental screening ultrasound (US) to mammography could improve cancer detection rate of the contralateral breast in patients with a personal history of breast cancer and dense breasts. Materials and methods: During a one-year study period, 1314 screening patients with a personal history of breast cancer and dense breasts simultaneously underwent mammography and breast US. BI-RADS categories were given for mammography or US-detected lesions in the contralateral breast. The reference standard was histology and/or 1-year imaging follow-up, and the cancer rate according to BI-RADS categories and cancer detection rate and positive biopsy rate according to detection modality were analyzed. Results: Of 1314 patients, 84 patients (6.4%) were categorized as category 3 with one interval cancer and one cancer which was upgraded to category 4A after 6-month follow-up US (2.5% cancer rate, 95% CIs 1.5–9.1%). Fifteen patients (1.1%) had category 4A or 4B lesions in the contralateral breast. Four lesions were detected on mammography (two lesions were also visible on US) and 11 lesions were detected on US and 5 cancers were confirmed (33.3%, 95% CIs 15.0–58.5%). Six patients (0.5%) had category 4C lesions, 2 detected on mammography and 4 on US and 4 cancers were confirmed (66.7%, 95% CIs 29.6–90.8%). No lesions were categorized as category 5 in the contralateral breast. Cancer detection rate by mammography was 3.3 per 1000 patients and that by US was 5.0 per 1000 patients, therefore overall cancer detection rate by

  6. Interactive Gentle Yoga in Improving Quality of Life in Patients With Stage I-III Breast Cancer Undergoing Radiation Therapy

    Science.gov (United States)

    2017-07-28

    Anxiety Disorder; Depression; Ductal Breast Carcinoma in Situ; Fatigue; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  7. NUCKS overexpression in breast cancer

    Directory of Open Access Journals (Sweden)

    Kittas Christos

    2009-08-01

    Full Text Available Abstract Background NUCKS (Nuclear, Casein Kinase and Cyclin-dependent Kinase Substrate is a nuclear, DNA-binding and highly phosphorylated protein. A number of reports show that NUCKS is highly expressed on the level of mRNA in several human cancers, including breast cancer. In this work, NUCKS expression on both RNA and protein levels was studied in breast tissue biopsies consisted of invasive carcinomas, intraductal proliferative lesions, benign epithelial proliferations and fibroadenomas, as well as in primary cultures derived from the above biopsies. Specifically, in order to evaluate the level of NUCKS protein in correlation with the histopathological features of breast disease, immunohistochemistry was employed on paraffin sections of breast biopsies of the above types. In addition, NUCKS expression was studied by means of Reverse Transcription PCR (RT-PCR, real-time PCR (qRT-PCR and Western immunoblot analyses in the primary cell cultures developed from the same biopsies. Results The immunohistochemical Results showed intense NUCKS staining mostly in grade I and II breast carcinomas compared to normal tissues. Furthermore, NUCKS was moderate expressed in benign epithelial proliferations, such as adenosis and sclerosing adenosis, and highly expressed in intraductal lesions, specifically in ductal carcinomas in situ (DCIS. It is worth noting that all the fibroadenoma tissues examined were negative for NUCKS staining. RT-PCR and qRT-PCR showed an increase of NUCKS expression in cells derived from primary cultures of proliferative lesions and cancerous tissues compared to the ones derived from normal breast tissues and fibroadenomas. This increase was also confirmed by Western immunoblot analysis. Although NUCKS is a cell cycle related protein, its expression does not correlate with Ki67 expression, neither in tissue sections nor in primary cell cultures. Conclusion The results show overexpression of the NUCKS protein in a number of non

  8. Delayed breast reconstruction with implants after invasive breast cancer does not impair prognosis

    DEFF Research Database (Denmark)

    Holmich, L.R.; During, M.; Henriksen, T.F.

    2008-01-01

    We investigated if delayed breast implant reconstruction after breast cancer impairs prognosis. Using data from the Danish Breast Cancer Cooperative Group register, we identified all women......We investigated if delayed breast implant reconstruction after breast cancer impairs prognosis. Using data from the Danish Breast Cancer Cooperative Group register, we identified all women...

  9. Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium

    National Research Council Canada - National Science Library

    Broeks, A; Schmidt, M.K; Sherman, M.E; Couch, F.J; Hopper, J.L; Dite, G.S; Apicella, C; Smith, L.D; Hammet, F; Southey, M.C; Veer, L.J. van 't; Groot, R. de; Smit, V.T; Fasching, P.A; Beckmann, M.W; Jud, S; Ekici, A.B; Hartmann, A; Hein, A; Schulz-Wendtland, R; Burwinkel, B; Marme, F; Schneeweiss, A; Sinn, H.P; Sohn, C; Tchatchou, S; Bojesen, S.E; Nordestgaard, B.G; Flyger, H; Orsted, D.D; Kaur-Knudsen, D; Milne, R.L; Perez, J.I; Zamora, P; Roiguez, P.M; Benitez, J; Brauch, H; Justenhoven, C; Ko, Y.D; Hamann, U; Fischer, H.P; Bruning, T; Pesch, B; Chang-Claude, J; Wang-Gohrke, S; Bremer, M; Karstens, J.H; Hillemanns, P; Dork, T; Nevanlinna, H.A; Heikkinen, T; Heikkila, P; Blomqvist, C; Aittomaki, K; Aaltonen, K; Lindblom, A; Margolin, S; Mannermaa, A; Kosma, V.M; Kauppinen, J.M; Kataja, V; Auvinen, P; Eskelinen, M; Soini, Y; Chenevix-Trench, G; Spurdle, A.B; Beesley, J; Chen, X; Holland, H; Lambrechts, D; Claes, B; Vandorpe, T; Neven, P; Wildiers, H; Flesch-Janys, D; Hein, R; Loning, T; Kosel, M; Fredericksen, Z.S; Wang, X; Giles, G.G; Baglietto, L; Severi, G; McLean, C; Haiman, C.A; Henderson, B.E; Marchand, L. le; Kolonel, L.N; Alnaes, G.G; Kristensen, V; Borresen-Dale, A.L; Hunter, D.J; Hankinson, S.E; Anulis, I.L; Mulligan, A.M; O'Malley, F.P; Devilee, P; Huijts, P.E; Tollenaar, R.A.E.M; Asperen, C.J. van

    2011-01-01

    .... 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...

  10. Alcohol and breast cancer: the mechanisms explained.

    Science.gov (United States)

    Al-Sader, Hassen; Abdul-Jabar, Hani; Allawi, Zahra; Haba, Yasser

    2009-08-01

    Breast cancer is a leading cause of death amongst women, several studies have shown significant association between alcohol consumption and breast cancer. The aim of this overview is to highlight some of the mechanisms by which alcohol consumption could increase the risk of developing breast cancer. Using online Medline search engine, article containing details about mechanisms which explain the link between alcohol and breast cancer were examined. A number of mechanisms were found by which alcohol could increase the risk of breast cancer, alcohol's interaction and effect on oestrogen secretion; number of oestrogen receptors; the generation of acetaldehyde and hydroxyl free radicals; cells migration and metastasis; secretion of IGF1 and interaction with HRT and folate metabolism. In conclusion, it is essential for clinicians to understand these mechanisms and inform patients of the link between alcohol and breast cancer. Breast cancer; Alcohol; Mechanisms.

  11. Mechanisms involved in breast cancer liver metastasis.

    Science.gov (United States)

    Ma, Rui; Feng, Yili; Lin, Shuang; Chen, Jiang; Lin, Hui; Liang, Xiao; Zheng, Heming; Cai, Xiujun

    2015-02-15

    Liver metastasis is a frequent occurrence in patients with breast cancer; however, the available treatments are limited and ineffective. While liver-specific homing of breast cancer cells is an important feature of metastasis, the formation of liver metastases is not random. Indeed, breast cancer cell factors contribute to the liver microenvironment. Major breakthroughs have been achieved recently in understanding breast cancer liver metastasis (BCLM). The process of liver metastasis consists of multiple steps and involves various factors from breast cancer cells and the liver microenvironment. A further understanding of the roles of breast cancer cells and the liver microenvironment is crucial to guide future work in clinical treatments. In this review we discuss the contribution of breast cancer cells and the liver microenvironment to liver metastasis, with the aim to improve therapeutic efficacy for patients with BCLM.

  12. Human papilloma viruses (HPV and breast cancer.

    Directory of Open Access Journals (Sweden)

    James Sutherland Lawson

    2015-12-01

    Full Text Available Purpose: Human papillomaviruses (HPV may have a role in some breast cancers. The purpose of this study is to fill important gaps in the evidence. These gaps are: (i confirmation of the presence of high risk for cancer HPVs in breast cancers, (ii evidence of HPV infections in benign breast tissues prior to the development of HPV positive breast cancer in the same patients, (iii evidence that HPVs are biologically active and not harmless passengers in breast cancer.Methods: RNA-seq data from The Cancer Genome Atlas (TCGA was used to identify HPV RNA sequences in breast cancers. We also conducted a retrospective cohort study based on polymerase chain reaction (PCR analyses to identify HPVs in archival specimens from Australian women with benign breast biopsies who later developed breast cancer. To assess whether HPVs in breast cancer were biologically active, the expression of the oncogenic protein HPV E7 was assessed by immunohistochemistry (IHC.Results: Thirty (3.5% low risk and 20 (2.3% high risk HPV types were identified in 855 breast cancers from the TCGA data base. The high risk types were HPV 18 (48%, HPV 113 (24%, HPV 16 (10%, HPV 52 (10%. Data from the PCR cohort study, indicated that HPV type 18 was the most common type identified in breast cancer specimens (55% of 40 breast cancer specimens followed by HPV 16 (13%. The same HPV type was identified in both the benign and subsequent breast cancer in 15 patients. HPV E7 proteins were identified in 72% of benign breast specimens and 59% of invasive breast cancer specimens.Conclusions: There were 4 observations of particular interest: (i confirmation by both NGS and PCR of the presence of high risk HPV gene sequences in breast cancers, (ii a correlation between high risk HPV in benign breast specimens and subsequent HPV positive breast cancer in the same patient, (iii HPVs in breast cancer are likely to be biologically active (as shown by transcription of HPV DNA to RNA plus the expression of

  13. Use of adjuvant trastuzumab in women with human epidermal growth factor receptor 2 (HER2)-positive breast cancer by race/ethnicity and education within the National Comprehensive Cancer Network.

    Science.gov (United States)

    Freedman, Rachel A; Hughes, Melissa E; Ottesen, Rebecca A; Weeks, Jane C; He, Yulei; Wong, Yu-Ning; Theriault, Richard; Keating, Nancy L

    2013-02-15

    Trastuzumab for human epidermal growth factor receptor 2 (HER2)-positive breast cancer is highly efficacious yet costly and time-intensive, and few data are available about its use. The authors of this report examined receipt and completion of adjuvant trastuzumab by race/ethnicity and education for women with HER2-positive disease. The National Comprehensive Cancer Network Breast Cancer Outcomes Database was used to identify 1109 women who were diagnosed with stage I through III, HER2-positive breast cancer during September 2005 through December 2008 and were followed for ≥1 year. The authors used multivariable logistic regression to assess the association of race/ethnicity and education with the receipt of trastuzumab and, among those women who initiated trastuzumab, with the completion of > 270 days of therapy. The cohort was 75% white, 8% black, and 9% Hispanic; and 20% of women had attained a high school degree or less. Most women (83%) received trastuzumab, and no significant differences were observed according to race/ethnicity or socioeconomic status. Among the women who initiated trastuzumab, 73% of black women versus 87% of white women (P = .007) and 70% of women with less than a high school education versus 90% of women with a college degree completed > 270 days of therapy (P = .006). In adjusted analyses, black women (vs white women) and women without a high school degree (vs those with a college degree) had lower odds of completing therapy (black women: odds ratio, 0.45; 95% confidence interval, 0.27-074; white women: odds ratio, 0.27, 95% confidence interval, 0.14-0.51). Differences in completing trastuzumab therapy were observed according to race and educational attainment among women who received treatment at National Comprehensive Cancer Network centers. Efforts to assure the appropriate use of trastuzumab and to understand treatment barriers are needed and may lead to improved outcomes. The authors report differences in the rate at which

  14. Caloric Restriction in Treating Patients With Stage 0-I Breast Cancer Undergoing Surgery and Radiation Therapy

    Science.gov (United States)

    2017-09-25

    Ductal Breast Carcinoma in Situ; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Lobular Breast Carcinoma in Situ; Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer

  15. Antiangiogenic therapy for breast cancer

    DEFF Research Database (Denmark)

    Nielsen, D.L.; Andersson, M.; Andersen, Jon Alexander Lykkegaard

    2010-01-01

    and optimal use of these agents for the treatment of breast cancer. Currently, the most promising approach has been the use of bevacizumab, a humanized monoclonal antibody directed against the most potent pro-angiogenic factor, vascular endothelial growth factor (VEGF). Small molecular inhibitors of VEGF...... tyrosine kinase activity, such as sorafenib, appear promising. While, the role of sunitinib and inhibitors of mammalian target of rapamycin (mTOR) in breast cancer has to be defined. Several unanswered questions remain, such as choice of drug(s), optimal duration of therapy and patient selection criteria......ABSTRACT: Angiogenesis is an important component of cancer growth, invasion and metastasis. Therefore, inhibition of angiogenesis is an attractive strategy for treatment of cancer. We describe existing clinical trials of antiangiogenic agents and the challenges facing the clinical development...

  16. Nanotechnology for breast cancer therapy.

    Science.gov (United States)

    Tanaka, Takemi; Decuzzi, Paolo; Cristofanilli, Massimo; Sakamoto, Jason H; Tasciotti, Ennio; Robertson, Fredika M; Ferrari, Mauro

    2009-02-01

    Breast cancer is the field of medicine with the greatest presence of nanotechnological therapeutic agents in the clinic. A pegylated form of liposomally encapsulated doxorubicin is routinely used for treatment against metastatic cancer, and albumin nanoparticulate chaperones of paclitaxel were approved for locally recurrent and metastatic disease in 2005. These drugs have yielded substantial clinical benefit, and are steadily gathering greater beneficial impact. Clinical trials currently employing these drugs in combination with chemo and biological therapeutics exceed 150 worldwide. Despite these advancements, breast cancer morbidity and mortality is unacceptably high. Nanotechnology offers potential solutions to the historical challenge that has rendered breast cancer so difficult to contain and eradicate: the extreme biological diversity of the disease presentation in the patient population and in the evolutionary changes of any individual disease, the multiple pathways that drive disease progression, the onset of 'resistance' to established therapeutic cocktails, and the gravity of the side effects to treatment, which result from generally very poor distribution of the injected therapeutic agents in the body. A fundamental requirement for success in the development of new therapeutic strategies is that breast cancer specialists-in the clinic, the pharmaceutical and the basic biological laboratory-and nanotechnologists-engineers, physicists, chemists and mathematicians-optimize their ability to work in close collaboration. This further requires a mutual openness across cultural and language barriers, academic reward systems, and many other 'environmental' divides. This paper is respectfully submitted to the community to help foster the mutual interactions of the breast cancer world with micro- and nano-technology, and in particular to encourage the latter community to direct ever increasing attention to breast cancer, where an extraordinary beneficial impact may

  17. Breast Cancer in Systemic Lupus Erythematosus

    DEFF Research Database (Denmark)

    Tessier Cloutier, B; Clarke, A E; Ramsey-Goldman, R

    2013-01-01

    Evidence points to a decreased breast cancer risk in systemic lupus erythematosus (SLE). We analyzed data from a large multisite SLE cohort, linked to cancer registries.......Evidence points to a decreased breast cancer risk in systemic lupus erythematosus (SLE). We analyzed data from a large multisite SLE cohort, linked to cancer registries....

  18. Triple-negative breast cancer

    OpenAIRE

    Chacón, Reinaldo D; Costanzo, María V

    2010-01-01

    Perou's molecular classification defines tumors that neither express hormone receptors nor overexpress HER2 as triple-negative (TN) tumors. These tumors account for approximately 15% of breast cancers. The so-called basaloid tumors are not always synonymous with TN tumors; they differ in the fact that they express different molecular markers, have a higher histologic grade, and have a worse prognosis. Clinically they occur in younger women as interval cancer, and the risk of recurrence is hig...

  19. Integrated Immunotherapy for Breast Cancer

    Science.gov (United States)

    2016-09-01

    or doxorubicin alone or in combination are shown. (C) Balb/c mice were challenged with 4T1.2 cells orthotopically in the mammary gland and received... mammary gland and received 6 oral daily doses of Ivermectin (5 mg/kg) alone or in combination with doxorubicin at 5 mg/kg. Comparisons between...Tumor stroma and regulation of cancer development. Annual review of pathology 1, 119 (2006). 11. M. M. Shao et al., A subset of breast cancer

  20. Breast Cancer Vaccines: New Insights

    OpenAIRE

    Benedetti, Rosaria; Dell’Aversana, Carmela; Giorgio, Cristina; Astorri, Roberta; Altucci, Lucia

    2017-01-01

    Breast cancer (BC) is a persistent global challenge for its high frequency in women (although it seldom occurs in men), due to the large diffusion of risk factors and gene mutations, and for its peculiar biology and microenvironment. To date, BC can benefit from different therapeutic strategies involving surgery, ablation, chemotherapy, radiotherapy, and more specific approaches such as hormone therapy and the administration of various substances impairing cancer growth, aggressivity, and rec...

  1. Imaging features of breast cancers on digital breast tomosynthesis according to molecular subtype: association with breast cancer detection.

    Science.gov (United States)

    Lee, Su Hyun; Chang, Jung Min; Shin, Sung Ui; Chu, A Jung; Yi, Ann; Cho, Nariya; Moon, Woo Kyung

    2017-12-01

    To evaluate imaging features of breast cancers on digital breast tomosynthesis (DBT) according to molecular subtype and to determine whether the molecular subtype affects breast cancer detection on DBT. This was an institutional review board--approved study with a waiver of informed consent. DBT findings of 288 invasive breast cancers were reviewed according to Breast Imaging Reporting and Data System lexicon. Detectability of breast cancer was quantified by the number of readers (0-3) who correctly detected the cancer in an independent blinded review. DBT features and the cancer detectability score according to molecular subtype were compared using Fisher's exact test and analysis of variance. Of 288 invasive cancers, 194 were hormone receptor (HR)-positive, 48 were human epidermal growth factor receptor 2 (HER2) positive and 46 were triple negative breast cancers. The most common DBT findings were irregular spiculated masses for HR-positive cancer, fine pleomorphic or linear branching calcifications for HER2 positive cancer and irregular masses with circumscribed margins for triple negative breast cancers (p Cancer detectability on DBT was not significantly different according to molecular subtype (p = 0.213) but rather affected by tumour size, breast density and presence of mass or calcifications. Breast cancers showed different imaging features according to molecular subtype; however, it did not affect the cancer detectability on DBT. Advances in knowledge: DBT showed characteristic imaging features of breast cancers according to molecular subtype. However, cancer detectability on DBT was not affected by molecular subtype of breast cancers.

  2. Risk of primary non-breast cancer after female breast cancer by age at diagnosis

    DEFF Research Database (Denmark)

    Mellemkjær, Lene; Christensen, Jane; Frederiksen, Kirsten Skovsgaard

    2011-01-01

    Women diagnosed with breast cancer at young age have been shown to be at higher risk of developing a new primary cancer than women diagnosed at older ages, but little is known about whether adjustment for calendar year of breast cancer diagnosis, length of follow-up, and/or breast cancer treatment...

  3. What You Need to Know about Breast Cancer

    Science.gov (United States)

    ... Publications Reports What You Need To Know About™ Breast Cancer This booklet is about breast cancer. Learning about your cancer can help you take ... This booklet covers: Basics about breast anatomy and breast cancer Treatments for breast cancer, including taking part in ...

  4. System delays in breast cancer

    African Journals Online (AJOL)

    In South Africa (SA), breast cancer is the 4th most common cause of death from all malignancies.[1] In SA, we notice a discrepancy in incidence rates between various ethnic/race groups. African women have rates similar to those in other developing countries. Caucasian women have rates that are comparable with ...

  5. Breast Cancer Startup Challenge winners

    Science.gov (United States)

    Ten winners of a world-wide competition to bring emerging breast cancer research technologies to market faster were announced today by the Avon Foundation for Women, in partnership with NCI and the Center for Advancing Innovation (CAI). Avon is providing

  6. Estrogen Metabolism and Breast Cancer

    African Journals Online (AJOL)

    pathway mediated by the generation and redox Cycling of reactive oxygen species through the metabolic effects of estrogen .... therapy. Several studies including the European. Organization for Research and Treatment of. Cancer ÇEORTC) trial,19 the ATAC (Arimidex, tamoxifen, alone or in combination) adjuvant breast.

  7. Genetic determinants of breast cancer

    NARCIS (Netherlands)

    A.M. Gonzalez-Zuloeta Ladd (Angela)

    2007-01-01

    textabstractBreast cancer is the most common malignancy in women in the Western world and it is estimated that women who survive to the age of 85 years will have a 1 in 9 lifetime probability of developing this type of neoplasia (1, 2). The degree of risk is not spread homogeneously across the

  8. Progesterone Receptor Scaffolding Function in Breast Cancer

    Science.gov (United States)

    2012-10-01

    response. PR are expressed in multiple human tissues including the uterus, mammary gland , brain, pancreas, thymus , bone, ovary, testes, and in the...ABSTRACT Progesterone receptors (PR) are critical mediators of mammary gland development and contribute to breast cancer progression. Progestin...receptors (PR) are critical for massive breast epithelial cell expansion during mammary gland development and contribute to breast cancer progression

  9. Magnetic resonance imaging of invasive breast cancer

    African Journals Online (AJOL)

    G5

    graphic findings, and screening for breast cancer in younger women with familial breast cancer. Interpretation of MR images requires a meticulous imaging technique including the use of contrast enhancement and fat suppression MR sequences using a good breast coil. Introduction. The role of MR imaging in the diagno-.

  10. Environmental Factors and Breast Cancer Risk

    Science.gov (United States)

    Breast Cancer Risk and Environmental Factors For millions of women whose lives have been affected by breast cancer, the 1994 discovery of the first breast ... gene by researchers from the National Institute of Environmental Health Sciences (NIEHS) and their collaborators, was a ...

  11. Bilateral breast cancer : mammographic and clinical findings

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Eun Kyung; Oh, Ki Keun; Jun, Hwang Yoon; Lee, Byung Chan; Lee, Kyong Sik; Lee, Yong Hee [Yonsei Univ. College of Medicine, Seoul (Korea, Republic of)

    1997-06-01

    To evaluate the mammographic and clinical features of bilateral breast cancer. We retrospectively reviewed clinical records(n=23) and mammograms (n=15) of 23 patients with bilateral breast cancer. Patients' age, location of the tumor and pathologic staging were determined from clinical records. Mammographic features were classified as spiculated mass, nonspiculated mass, mass with microcalcification, microcalcification only, asymmetric density, and normal. Of the 23 cases of bilateral breast cancer, 8(34.8%) were synchronous and 15(65.2%) were metachronous. Age at diagnosis of cancer in the first breast was between 27 and 59(mean 43) years ; there was no statistically significant difference in mean age between patients with synchronous and metachronous cancer. The mean interval between the diagnosis of each lesion of the metachronous pairs was 9.1 years. In 11 of 23 cases(48%), tumors were locaated in the same quadrant, and in the other 12 cases(52%), they were in different quadrant. At mammography, five of 15 metachronous cancers(33%) were similar in appearance and 10 pairs(67%) were different. In 4 of 23 cases(17%), cancer in the first breast was at stage 0 and stage 1, and in 13 of 23(57%), cancer in the second breast was at this same stage. In bilateral breast cancer, the two breasts frequently show different mammographic features. Cancer of the second breast was at an early stage; this suggest that regular examination and mammography are important and can allow early detection of contralateral breast cancer.

  12. Zinc isotopic compositions of breast cancer tissue.

    Science.gov (United States)

    Larner, Fiona; Woodley, Laura N; Shousha, Sami; Moyes, Ashley; Humphreys-Williams, Emma; Strekopytov, Stanislav; Halliday, Alex N; Rehkämper, Mark; Coombes, R Charles

    2015-01-01

    An early diagnostic biomarker for breast cancer is essential to improve outcome. High precision isotopic analysis, originating in Earth sciences, can detect very small shifts in metal pathways. For the first time, the natural intrinsic Zn isotopic compositions of various tissues in breast cancer patients and controls were determined. Breast cancer tumours were found to have a significantly lighter Zn isotopic composition than the blood, serum and healthy breast tissue in both groups. The Zn isotopic lightness in tumours suggests that sulphur rich metallothionein dominates the isotopic selectivity of a breast tissue cell, rather than Zn-specific proteins. This reveals a possible mechanism of Zn delivery to Zn-sequestering vesicles by metallothionein, and is supported by a similar signature observed in the copper isotopic compositions of one breast cancer patient. This change in intrinsic isotopic compositions due to cancer has the potential to provide a novel early biomarker for breast cancer.

  13. Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms

    Science.gov (United States)

    Samala, Ravi K.; Chan, Heang-Ping; Hadjiiski, Lubomir M.; Helvie, Mark A.; Cha, Kenny H.; Richter, Caleb D.

    2017-12-01

    Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its application to medical imaging tasks. We propose a multi-task transfer learning DCNN with the aim of translating the ‘knowledge’ learned from non-medical images to medical diagnostic tasks through supervised training and increasing the generalization capabilities of DCNNs by simultaneously learning auxiliary tasks. We studied this approach in an important application: classification of malignant and benign breast masses. With Institutional Review Board (IRB) approval, digitized screen-film mammograms (SFMs) and digital mammograms (DMs) were collected from our patient files and additional SFMs were obtained from the Digital Database for Screening Mammography. The data set consisted of 2242 views with 2454 masses (1057 malignant, 1397 benign). In single-task transfer learning, the DCNN was trained and tested on SFMs. In multi-task transfer learning, SFMs and DMs were used to train the DCNN, which was then tested on SFMs. N-fold cross-validation with the training set was used for training and parameter optimization. On the independent test set, the multi-task transfer learning DCNN was found to have significantly (p  =  0.007) higher performance compared to the single-task transfer learning DCNN. This study demonstrates that multi-task transfer learning may be an effective approach for training DCNN in medical imaging applications when training samples from a single modality are limited.

  14. Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.

    Science.gov (United States)

    Samala, Ravi K; Chan, Heang-Ping; Hadjiiski, Lubomir M; Helvie, Mark A; Cha, Kenny; Richter, Caleb

    2017-10-16

    Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its application to medical imaging tasks. We propose a multi-task transfer learning DCNN with the aims of translating the 'knowledge' learned from non-medical images to medical diagnostic tasks through supervised training and increasing the generalization capabilities of DCNNs by simultaneously learning auxiliary tasks. We studied this approach in an important application: classification of malignant and benign breast masses. With IRB approval, digitized screen-film mammograms (SFMs) and digital mammograms (DMs) were collected from our patient files and additional SFMs were obtained from the Digital Database for Screening Mammography. The data set consisted of 2,242 views with 2,454 masses (1,057 malignant, 1,397 benign). In single-task transfer learning, the DCNN was trained and tested on SFMs. In multi-task transfer learning, SFMs and DMs were used to train the DCNN, which was then tested on SFMs. N-fold cross-validation with the training set was used for training and parameter optimization. On the independent test set, the multi-task transfer learning DCNN was found to have significantly (p=0.007) higher performance compared to the single-task transfer learning DCNN. This study demonstrates that multi-task transfer learning may be an effective approach for training DCNN in medical imaging applications when training samples from a single modality are limited. © 2017 Institute of Physics and Engineering in Medicine.

  15. Breast cancer practice guidelines: evaluation and quality improvement.

    Science.gov (United States)

    Edge, S B

    1997-11-01

    The utility of practice guidelines in breast cancer management remains unproved. This paper examines the scope and goals of published guidelines and their utility in the process of breast cancer treatment quality improvement. Although existing breast cancer guidelines vary widely in scope and intent, they provide a framework for meaningful quality-of-care evaluation. Among the few comprehensive breast cancer guideline programs are those developed by the Ontario Cancer Treatment Practice Guidelines Initiative, the Revlon/UCLA Breast Center, the Association of Community Cancer Centers (ACCC), the Society of Surgical Oncology (SSO), and the National Comprehensive Cancer Network (NCCN). Ultimately, guidelines will prove useful only if they are utilized as part of a comprehensive program to improve quality, cost-effectiveness, and outcomes. To accomplish this, they must include mechanisms for revision and evaluation. The evaluation of guideline utility in quality improvement, particularly in breast cancer care, is a complex long-term process, which should include input from practitioners, institutions, payors, and government.

  16. Preventing Overdiagnosis and Overtreatment: Just the Next Step in the Evolution of Breast Cancer Care.

    Science.gov (United States)

    Mukhtar, Rita A; Wong, Jasmine M; Esserman, Laura J

    2015-06-01

    The problem of overdiagnosis and overtreatment has been highlighted in breast cancer and many other cancer types, most notably prostate cancer. Addressing this problem presents an opportunity to continue the evolution of breast cancer care. Advances in technology, such as molecular subtyping, have increased the understanding of breast cancer biology and the range of associated behavior, and have provided tools that allow greater personalization of treatment. This article identifies 3 areas of breast cancer care where opportunity currently exists to refine management strategies and help decrease overtreatment and overdiagnosis: the use of adjuvant-external beam radiation in invasive breast cancer, the application of aggressive treatment for all ductal carcinoma in situ, and the authors' approach to breast cancer screening. Personalizing treatment based on patient and tumor characteristics holds promise for minimizing harms and maximizing benefits. This approach will allow continual improvement and ultimately result in providing the right treatment for each patient. Copyright © 2015 by the National Comprehensive Cancer Network.

  17. Identification of a Hormone-regulated Dynamic Nuclear Actin Network Associated with Estrogen Receptor α in Human Breast Cancer Cell Nuclei*

    Science.gov (United States)

    Ambrosino, Concetta; Tarallo, Roberta; Bamundo, Angela; Cuomo, Danila; Franci, Gianluigi; Nassa, Giovanni; Paris, Ornella; Ravo, Maria; Giovane, Alfonso; Zambrano, Nicola; Lepikhova, Tatiana; Jänne, Olli A.; Baumann, Marc; Nyman, Tuula A.; Cicatiello, Luigi; Weisz, Alessandro

    2010-01-01

    Estrogen receptor α (ERα) is a modular protein of the steroid/nuclear receptor family of transcriptional regulators that upon binding to the hormone undergoes structural changes, resulting in its nuclear translocation and docking to specific chromatin sites. In the nucleus, ERα assembles in multiprotein complexes that act as final effectors of estrogen signaling to the genome through chromatin remodeling and epigenetic modifications, leading to dynamic and coordinated regulation of hormone-responsive genes. Identification of the molecular partners of ERα and understanding their combinatory interactions within functional complexes is a prerequisite to define the molecular basis of estrogen control of cell functions. To this end, affinity purification was applied to map and characterize the ERα interactome in hormone-responsive human breast cancer cell nuclei. MCF-7 cell clones expressing human ERα fused to a tandem affinity purification tag were generated and used to purify native nuclear ER-containing complexes by IgG-Sepharose affinity chromatography and glycerol gradient centrifugation. Purified complexes were analyzed by two-dimensional DIGE and mass spectrometry, leading to the identification of a ligand-dependent multiprotein complex comprising β-actin, myosins, and several proteins involved in actin filament organization and dynamics and/or known to participate in actin-mediated regulation of gene transcription, chromatin dynamics, and ribosome biogenesis. Time course analyses indicated that complexes containing ERα and actin are assembled in the nucleus early after receptor activation by ligands, and gene knockdown experiments showed that gelsolin and the nuclear isoform of myosin 1c are key determinants for assembly and/or stability of these complexes. Based on these results, we propose that the actin network plays a role in nuclear ERα actions in breast cancer cells, including coordinated regulation of target gene activity, spatial and functional

  18. Identification of a hormone-regulated dynamic nuclear actin network associated with estrogen receptor alpha in human breast cancer cell nuclei.

    Science.gov (United States)

    Ambrosino, Concetta; Tarallo, Roberta; Bamundo, Angela; Cuomo, Danila; Franci, Gianluigi; Nassa, Giovanni; Paris, Ornella; Ravo, Maria; Giovane, Alfonso; Zambrano, Nicola; Lepikhova, Tatiana; Jänne, Olli A; Baumann, Marc; Nyman, Tuula A; Cicatiello, Luigi; Weisz, Alessandro

    2010-06-01

    Estrogen receptor alpha (ERalpha) is a modular protein of the steroid/nuclear receptor family of transcriptional regulators that upon binding to the hormone undergoes structural changes, resulting in its nuclear translocation and docking to specific chromatin sites. In the nucleus, ERalpha assembles in multiprotein complexes that act as final effectors of estrogen signaling to the genome through chromatin remodeling and epigenetic modifications, leading to dynamic and coordinated regulation of hormone-responsive genes. Identification of the molecular partners of ERalpha and understanding their combinatory interactions within functional complexes is a prerequisite to define the molecular basis of estrogen control of cell functions. To this end, affinity purification was applied to map and characterize the ERalpha interactome in hormone-responsive human breast cancer cell nuclei. MCF-7 cell clones expressing human ERalpha fused to a tandem affinity purification tag were generated and used to purify native nuclear ER-containing complexes by IgG-Sepharose affinity chromatography and glycerol gradient centrifugation. Purified complexes were analyzed by two-dimensional DIGE and mass spectrometry, leading to the identification of a ligand-dependent multiprotein complex comprising beta-actin, myosins, and several proteins involved in actin filament organization and dynamics and/or known to participate in actin-mediated regulation of gene transcription, chromatin dynamics, and ribosome biogenesis. Time course analyses indicated that complexes containing ERalpha and actin are assembled in the nucleus early after receptor activation by ligands, and gene knockdown experiments showed that gelsolin and the nuclear isoform of myosin 1c are key determinants for assembly and/or stability of these complexes. Based on these results, we propose that the actin network plays a role in nuclear ERalpha actions in breast cancer cells, including coordinated regulation of target gene

  19. Computed tomography of the breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Chung, Soo Young; Lee, Yul; Bae, Sang Hoon; Yoon, Jong Sup; Lee, Ki Chu [Hallym University Medical Center, Seoul (Korea, Republic of)

    1985-12-15

    The indication of computed tomography for the breast lesion are 1) Unusually extensive or small breast caused technical difficulties in performing mammograms. 2) Questionable mammographic findings, especially in dense proliferative breast parenchyme. 3) Microcancer. 4) Suspicious regional lymph node enlargement or invasive of the chest wall by breast cancer. The diagnosis of breast CT in breast cancer is based on pathologic anatomic changes and characteristic increase of mean CT No. of lesion following contrast enhancement. Authors analysed CT of the 34 patients who were clinically suspected breast cancer, and compared with mammography. The results are as follows: 1. Pathological diagnosis of 34 cases were 27 cases of breast cancer, 4 cases of fibrocystic disease, 2 cases of fibroadenoma, and 1 case of intraductal papilloma. The diagnostic accuracy of CT in 27 breast cancer was 93% (25 cases) and mammography 71% (19 case). 2. Correct diagnosis of CT in 7 benign breast disease is in 5 cases and mammography in 5 cases. 3. The most important finding of CT in breast cancer is characteristic increase of CT No. of lesion following contrast enhancement (200 ml, 65%): over average 50 HU in 19 cases of 27 breast cancers, 30-50 HU in a 6 cases, 20-30 HU in 2 cases with tumor necrosis. 4. Computed with mammography, other more valuable CT findings of breast cancer are axillary lymph node enlargement and adjacentic pectoral muscle invasion. 5. In conclusion, breast CT is considered as valuable diagnostic tool in evaluation of breast cancer, but not of benign breast disease.

  20. Dietary fat and risk of breast cancer

    Directory of Open Access Journals (Sweden)

    Mathew Aleyamma

    2005-07-01

    Full Text Available Abstract Background Breast cancer is one of the major public health problems among women worldwide. A number of epidemiological studies have been carried out to find the role of dietary fat and the risk of breast cancer. The main objective of the present communication is to summarize the evidence from various case-control and cohort studies on the consumption of fat and its subtypes and their effect on the development of breast cancer. Methods A Pubmed search for literature on the consumption of dietary fat and risk of breast cancer published from January 1990 through December 2003 was carried out. Results Increased consumption of total fat and saturated fat were found to be positively associated with the development of breast cancer. Even though an equivocal association was observed for the consumption of total monounsaturated fatty acids (MUFA and the risk of breast cancer, there exists an inverse association in the case of oleic acid, the most abundant MUFA. A moderate inverse association between consumption of n-3 fatty acids and breast cancer risk and a moderate positive association between n-6 fatty acids and breast cancer risk were observed. Conclusion Even though all epidemiological studies do not provide a strong positive association between the consumption of certain types of dietary fat and breast cancer risk, at least a moderate association does seem to exist and this has a number of implications in view of the fact that breast cancer is an increasing public health concern.

  1. Brain metastasization of breast cancer.

    Science.gov (United States)

    Custódio-Santos, Tânia; Videira, Mafalda; Brito, Maria Alexandra

    2017-08-01

    Central nervous system metastases have been reported in 15-25% of breast cancer patients, and the incidence is increasing. Moreover, the survival of these patients is generally poor, with reports of a 1-year survival rate of 20%. Therefore, a better knowledge about the determinants of brain metastasization is essential for the improvement of the clinical outcomes. Here, we summarize the current data about the metastatic cascade, ranging from the output of cancer cells from the primary tumour to their colonization in the brain, which involves the epithelial-mesenchymal transition, invasion of mammary tissue, intravasation into circulation, and homing into and extravasation towards the brain. The phenotypic change in malignant cells, and the importance of the microenvironment in the formation of brain metastases are also inspected. Finally, the importance of genetic and epigenetic changes, and the recently disclosed effects of microRNAs in brain metastasization of breast cancer are highlighted. Copyright © 2017 Elsevier B.V. All rights reserved.

  2. Antiperspirants/Deodorants and Breast Cancer

    Science.gov (United States)

    ... breast cancer ( 5 ). Some research has focused on parabens, which are preservatives used in some deodorants and ... body’s cells ( 6 ). It has been reported that parabens are found in breast tumors, but there is ...

  3. Drug transporters in breast cancer

    DEFF Research Database (Denmark)

    Kümler, Iben; Stenvang, Jan; Moreira, José

    2015-01-01

    Despite the advances that have taken place in the past decade, including the development of novel molecular targeted agents, cytotoxic chemotherapy remains the mainstay of cancer treatment. In breast cancer, anthracyclines and taxanes are the two main chemotherapeutic options used on a routine...... basis. Although effective, their usefulness is limited by the inevitable development of resistance, a lack of response to drug-induced cancer cell death. A large body of research has resulted in the characterization of a plethora of mechanisms involved in resistance; ATP-binding cassette transporter...

  4. Breast transillumination a viable option for breast cancer screening ...

    African Journals Online (AJOL)

    Background: Mammography is an established screening tool for breast cancer in high-income countries but may not be feasible for most resource poor nations. Alternative modalities are needed to mitigate the impact of the increasing incidence and mortality due to breast cancer. This may require the development of new ...

  5. Breast MRI in pregnancy-associated breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Shin Jung; Shin, Sang Soo [Dept. of of Radiology, Chonnam National University Hospital, Gwangju (Korea, Republic of); Lim, Hyo Soon; Baek, Jang Mi; Seon, Hyun Ju; Heo, Suk Hee; Kim, Jin Woong; Park, Min Ho [Chonnam National University Medical School, Chonnam National University Hwasun Hospital, Hwasun (Korea, Republic of)

    2017-03-15

    The purpose of this study was to evaluate the usefulness of MR imaging and to describe the MR imaging findings of pregnancy-associated breast cancer. From 2006 to 2013, MR images of 23 patients with pregnancy-associated breast cancer were retrospectively evaluated. MR images were reviewed to evaluate lesion detection and imaging findings of pregnancy-associated breast cancer. MR images were analyzed by using the Breast Imaging Reporting and Data System and an additional MR-detected lesion with no mammographic or sonographic abnormality was determined. MR imaging depicted breast cancer in all patients, even in marked background parenchymal enhancement. Pregnancy-associated breast cancer was seen as a mass in 20 patients and as non-mass enhancement with segmental distribution in 3 patients. The most common features of the masses were irregular shape (85%), non-circumscribed margin (85%), and heterogeneous enhancement (60%). An additional site of cancer was detected with MR imaging in 5 patients (21.7%) and the type of surgery was changed. Pregnancy-associated breast cancer was usually seen as an irregular mass with heterogeneous enhancement on MR images. Although these findings were not specific, MR imaging was useful in evaluating the disease extent of pregnancy-associated breast cancer.

  6. Breast and Gynecologic Cancer | Division of Cancer Prevention

    Science.gov (United States)

    [[{"fid":"184","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":"Breast and Gynecologic Cancer Research Group Homepage Logo","field_file_image_title_text[und][0][value]":"Breast and Gynecologic Cancer Research Group Homepage Logo","field_folder[und]":"15"},"type":"media","attributes":{"alt":"Breast and Gynecologic Cancer Research Group Homepage Logo","title":"Breast and Gynecologic Cancer Research Group Homepage Logo","height":"266","width":"400"," | Prevention and early detection of breast, cervix, endometrial and ovarian cancers and their precursors.

  7. Endocrine therapy of breast cancer.

    Science.gov (United States)

    Lumachi, F; Luisetto, G; Basso, S M M; Basso, U; Brunello, A; Camozzi, V

    2011-01-01

    Breast cancer remains one of the first leading causes of death in women, and currently endocrine treatment is of major therapeutic value in patients with estrogen-receptor positive tumors. Selective estrogen-receptor modulators (SERMs), such as tamoxifen and raloxifene, aromatase inhibitors, and GnRH agonists are the drugs of choice. Tamoxifen, a partial nonsteroidal estrogen agonist, is a type II competitive inhibitor of estradiol at its receptor, and the prototype of SERMs. Aromatase inhibitors significantly lower serum estradiol concentration in postmenopausal patients, having no detectable effects on adrenocortical steroids formation, while GnRH agonists suppress ovarian function, inducing a menopause-like condition in premenopausal women. Endocrine therapy has generally a relatively low morbidity, leading to a significant reduction of mortality for breast cancer. The aim of chemoprevention is to interfere early with the process of carcinogenesis, reducing the risk of cancer development. As preventive agents, raloxifene and tamoxifene are equivalent, while raloxifene has more potent antiresorptive effects in postmenopausal osteoporosis. Endocrine treatment is usually considered a standard choice for patients with estrogen-receptor positive cancers and non-life-threatening advanced disease, or for older patients unfit for aggressive chemotherapy regimens. Several therapeutic protocols used in patients with breast cancer are associated with bone loss, which may lead to an increased risk of fracture. Bisphosphonates are the drugs of choice to treat such a drug-induced bone disease. The aim of this review is to outline current understanding on endocrine therapy of breast cancer. © 2011 Bentham Science Publishers Ltd.

  8. Perspectives of Breast Cancer Thermotherapies

    Science.gov (United States)

    Alphandéry, Edouard

    2014-01-01

    In this article, the use of different types of thermotherapies to treat breast cancer is reviewed. While hyperthermia is most commonly used as an adjuvant in combination with radiotherapy, chemotherapy, targeted therapy or cryotherapy to enhance the therapeutic effect of these therapies, thermoablation is usually carried out alone to eradicate small breast tumors. A recently developed thermotherapy, called magnetic hyperthermia, which involves localized heating of nanoparticles under the application of an alternating magnetic field, is also presented. The advantages and drawbacks of these different thermotherapies are highlighted. PMID:24959300

  9. Integrins in breast cancer dormancy.

    Science.gov (United States)

    Pontier, Stephanie M; Muller, William J

    2008-01-01

    Among breast cancer patients, 20% to 45% develop malignant lesions following their initial treatment. This relapse may occur after an apparent remission period that can range from years to several decades. Clinical observations suggest that breast-derived malignant cells have the ability to survive subclinically for a very long period of time before eventually resuming proliferation and forming detectable lesions. While the precise molecular events that correspond to this dormant phenotype remain poorly understood, data published during the last 10 years have underlined an important role of integrin proteins in the regulation of this phenomenon.

  10. NIH study confirms risk factors for male breast cancer

    Science.gov (United States)

    Pooled data from studies of about 2,400 men with breast cancer and 52,000 men without breast cancer confirmed that risk factors for male breast cancer include obesity, a rare genetic condition called Klinefelter syndrome, and gynecomastia.

  11. Breast Cancer Research Update | NIH MedlinePlus the Magazine

    Science.gov (United States)

    ... of this page please turn JavaScript on. Feature: Breast Cancer Breast Cancer Research Update Past Issues / Winter 2017 Table of ... sheet Extended Drug Therapy Benefits Some Women with Breast Cancer Results from a recent clinical trial showed that ...

  12. Fertility after breast cancer treatment.

    Science.gov (United States)

    Kasum, Miro; Beketić-Orešković, Lidija; Peddi, Parvin F; Orešković, Slavko; Johnson, Rebecca H

    2014-02-01

    In many countries of the developed world, there is an increasing trend toward delay in childbearing from 30 to 40 years of age for various reasons. This is unfortunately concordant with an increasing incidence of breast cancer in women who have not yet completed their family. The current choice for premenopausal women with breast cancer is adjuvant therapy which includes cytotoxic chemotherapy, ovarian ablation (by surgery, irradiation, or chemical ovarian suppression), anti-estrogen therapy, or any combination of these. Although the use of adjuvant therapies with cytotoxic drugs can significantly reduce mortality, it raises issues of the long-term toxicity, such as induction of an early menopause and fertility impairment. The risk of infertility is a potential hardship to be faced by the patients following treatment of breast cancer. The offspring of patients who became pregnant after completion of chemotherapy have shown no adverse effects and congenital anomalies from the treatment, but sometimes high rates of abortion (29%) and premature deliveries with low birth weight (40%) have been demonstrated. Therefore, the issue of recent cytotoxic treatment remains controversial and further research is required to define a "safety period" between cessation of treatment and pregnancy. Preservation of fertility in breast cancer survivors of reproductive age has become an important issue regarding the quality of life. Currently, there are several potential options, including all available assisted technologies, such as in vitro fertilization and embryo transfer, in vitro maturation, oocyte and embryo cryopreservation, and cryopreservation of ovarian tissue. Because increased estrogen levels are thought to be potentially risky in breast cancer patients, recently developed ovarian stimulation protocols with the aromatase inhibitor letrozole and tamoxifen appear to provide safe stimulation with endogenous estrogen. Embryo cryopreservation seems to be the most established

  13. Genetic Susceptibility to Triple Negative Breast Cancer

    OpenAIRE

    Stevens, Kristen N.; Vachon, Celine M.; Couch, Fergus J.

    2013-01-01

    Triple negative breast cancers (TNBC), defined by the absence of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2 expression, account for 12-24% of all breast cancers. TNBC is associated with early recurrence of disease and poor outcome. Germline mutations in the BRCA1 and BRCA2 breast cancer susceptibility genes have been associated with up to 15% of TNBC, and TNBC accounts for 70% of breast tumors arising in BRCA1 mutation carriers and 16-23% of breast ...

  14. Reproductive History and Breast Cancer Risk

    Science.gov (United States)

    ... On This Page Is there a relationship between pregnancy and breast cancer risk? Are any pregnancy-related factors associated with ... or other cancers? Is there a relationship between pregnancy and breast cancer risk? Studies have shown that a woman’s risk ...

  15. Obesity and the breast cancer methylome.

    Science.gov (United States)

    Coleman, William B

    2016-12-01

    Breast cancer is associated with risk factors such as advancing age and obesity. However, the linkages between these risk factors for breast cancer development and initiation of the disease are not yet clear. Obesity may drive breast cancer development through increases in circulating estrogens in postmenopausal women. Mammary cell susceptibility to neoplastic transformation requires both genetic and epigenetic alterations, including changes in DNA methylation. Obesity is also subject to epigenetic regulation. In this review, the nature of epigenetic changes, specifically changes to the methylome, are discussed in the context of obesity and breast cancer, and a potential mechanism for the interaction of obesity and breast cancer is proposed. This proposed mechanism identifies opportunities for intervention (using drugs or biologic therapies) to prevent breast cancer development in the obese patient. Copyright © 2016 Elsevier Ltd. All rights reserved.

  16. Development of a Bayesian Classifier for Breast Cancer Risk Stratification: A Feasibility Study

    Science.gov (United States)

    2010-03-29

    mammographic microcalcifications and predict false-positive mammograms.21,22 We believe that clinical data collected as part of breast cancer screening...Leung WK. Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial...Development of a Bayesian Classifier for Breast Cancer Risk Stratification: A Feasibility Study Alexander Stojadinovic, MD,a,b Christina Eberhardt,a

  17. Integration of breast cancer gene signatures based on graph centrality

    Directory of Open Access Journals (Sweden)

    Wang Jianxin

    2011-12-01

    Full Text Available Abstract Background Various gene-expression signatures for breast cancer are available for the prediction of clinical outcome. However due to small overlap between different signatures, it is challenging to integrate existing disjoint signatures to provide a unified insight on the association between gene expression and clinical outcome. Results In this paper, we propose a method to integrate different breast cancer gene signatures by using graph centrality in a context-constrained protein interaction network (PIN. The context-constrained PIN for breast cancer is built by integrating complete PIN and various gene signatures reported in literatures. Then, we use graph centralities to quantify the importance of genes to breast cancer. Finally, we get reliable gene signatures that are consisted by the genes with high graph centrality. The genes which are well-known breast cancer genes, such as TP53 and BRCA1, are ranked extremely high in our results. Compared with previous results by functional enrichment analysis, graph centralities, especially the eigenvector centrality and subgraph centrality, based gene signatures are more tightly related to breast cancer. We validate these signatures on genome-wide microarray dataset and found strong association between the expression of these signature genes and pathologic parameters. Conclusions In summary, graph centralities provide a novel way to connect different cancer signatures and to understand the mechanism of relationship between gene expression and clinical outcome of breast cancer. Moreover, this method is not only can be used on breast cancer, but also can be used on other gene expression related diseases and drug studies.

  18. Are diet quality scores after breast cancer diagnosis associated with improved breast cancer survival?

    Science.gov (United States)

    Izano, Monika A; Fung, Teresa T; Chiuve, Stephanie S; Hu, Frank B; Holmes, Michelle D

    2013-01-01

    Previous studies have found that diets rich in fruits and vegetables are associated with reduced breast cancer mortality. However, these eating patterns do not necessarily reflect overall diet quality. The association of breast cancer mortality with a priori defined dietary scores, which are based on recommended dietary guidelines and reflect diet quality, has not been evaluated. We hypothesized that diet quality indices based on recommended guidelines are associated with decreased risk of breast cancer and nonbreast cancer mortality in breast cancer survivors. We examined the association between the Dietary Approaches to Stop Hypertension (DASH) score, and the Alternative Healthy Eating Index (AHEI)-2010, and the risk of breast cancer mortality and total mortality among women from the Nurses' Health Study diagnosed with breast cancer. Adherence to DASH-style and AHEI-2010 diets were associated with reduced risk of nonbreast cancer mortality (comparing the fifth quintile with the first quintile, relative risk (RR) = 0.72, 95% confidence interval (CI): 0.53-0.99, P trend = 0.03 for DASH, and RR = 0.57, 95% CI: 0.42-0.77, P trend Diet scores were not significantly associated with breast cancer mortality. Our findings suggest that adherence to a higher quality diet after breast cancer diagnosis does not considerably change the risk of breast cancer death and recurrence. However, healthy dietary choices after breast cancer were associated with reduced risk of nonbreast cancer mortality in women with breast cancer.

  19. Environmental Stress Affects the Activity of Metabolic and Growth Factor Signaling Networks and Induces Autophagy Markers in MCF7 Breast Cancer Cells*

    Science.gov (United States)

    Casado, Pedro; Bilanges, Benoit; Rajeeve, Vinothini; Vanhaesebroeck, Bart; Cutillas, Pedro R.

    2014-01-01

    Phosphoproteomic techniques are contributing to our understanding of how signaling pathways interact and regulate biological processes. This technology is also being used to characterize how signaling networks are remodeled during disease progression and to identify biomarkers of signaling pathway activity and of responses to cancer therapy. A potential caveat in these studies is that phosphorylation is a very dynamic modification that can substantially change during the course of an experiment or the retrieval and processing of cellular samples. Here, we investigated how exposure of cells to ambient conditions modulates phosphorylation and signaling pathway activity in the MCF7 breast cancer cell line. About 1.5% of 3,500 sites measured showed a significant change in phosphorylation extent upon exposure of cells to ambient conditions for 15 min. The effects of this perturbation in modifying phosphorylation patterns did not involve random changes due to stochastic activation of kinases and phosphatases. Instead, exposure of cells to ambient conditions elicited an environmental stress reaction that involved a coordinated response to a metabolic stress situation, which included: (1) the activation of AMPK; (2) the inhibition of PI3K, AKT, and ERK; (3) an increase in markers of protein synthesis inhibition at the level of translation elongation; and (4) an increase in autophagy markers. We also observed that maintaining cells in ice modified but did not completely abolish this metabolic stress response. In summary, exposure of cells to ambient conditions affects the activity of signaling networks previously implicated in metabolic and growth factor signaling. Mass spectrometry data have been deposited to the ProteomeXchange with identifier PXD000472. PMID:24425749

  20. Educational Counseling in Improving Communication and Quality of Life in Spouses and Breast Cancer Patients

    Science.gov (United States)

    2018-02-06

    Anxiety Disorder; Depression; Ductal Breast Carcinoma in Situ; Lobular Breast Carcinoma in Situ; Psychosocial Effects of Cancer and Its Treatment; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  1. Targeting Breast Cancer Recurrence via Hedgehog-mediated Sensitization of Breast Cancer Stem Cells

    Science.gov (United States)

    2011-07-01

    defective quiescence is a predisposing factor for breast cancer . Under normal conditions, nulliparous MMTV-myc have a very low incidence of... parity in this model. Such a finding would implicate control of quiescence in breast cancer initiation and would further suggest that mammary stem...AD_________________ Award Number: W81XWH-10-1-0430 TITLE: Targeting Breast Cancer Recurrence via

  2. Advanced integrated technique in breast cancer thermography.

    Science.gov (United States)

    Ng, E Y K; Kee, E C

    2008-01-01

    Thermography is a passive and non-contact imaging technique used extensively in the medical arena, but in relation to breast care, it has not been accepted as being on a par with mammography. This paper proposes the analysis of thermograms with the use of artificial neural networks (ANN) and bio-statistical methods, including regression and receiver operating characteristics (ROC). It is desired that through these approaches, highly accurate diagnosis using thermography techniques can be achieved. The suggested method is a multi-pronged approach comprising of linear regression, radial basis function network (RBFN) and ROC analysis. It is a novel, integrative and powerful technique that can be used to analyse large amounts of complicated measured data such as temperature values extracted from abnormal and healthy breast thermograms. The use of regression allows the correlation between the variables and the actual health status of the subject, which is decided by other traditional means such as the gold standard of mammography for breast cancer detection. This is important as it helps to select the appropriate variables to be used as inputs for building the neural network. RBFN is next trained to produce the desired outcome that is either positive or negative. When this is done, the RBFN possess the ability to predict the outcome when there are new input variables. The advantages of using RBFN include fast training of superior classification and decision-making abilities as compared to other networks such as backpropagation. Lastly, ROC is applied to evaluate the sensitivity, specificity and accuracy of the outcome for the RBFN test files. The proposed technique has an accuracy rate of 80.95%, with 100% sensitivity and 70.6% specificity in identifying breast cancer. The results are promising as compared to clinical examination by experienced radiologists, which has an accuracy rate of approximately 60-70%. To sum up, technological advances in the field of infrared

  3. A multilevel data integration resource for breast cancer study

    Directory of Open Access Journals (Sweden)

    Viti Federica

    2010-06-01

    Full Text Available Abstract Background Breast cancer is one of the most common cancer types. Due to the complexity of this disease, it is important to face its study with an integrated and multilevel approach, from genes, transcripts and proteins to molecular networks, cell populations and tissues. According to the systems biology perspective, the biological functions arise from complex networks: in this context, concepts like molecular pathways, protein-protein interactions (PPIs, mathematical models and ontologies play an important role for dissecting such complexity. Results In this work we present the Genes-to-Systems Breast Cancer (G2SBC Database, a resource which integrates data about genes, transcripts and proteins reported in literature as altered in breast cancer cells. Beside the data integration, we provide an ontology based query system and analysis tools related to intracellular pathways, PPIs, protein structure and systems modelling, in order to facilitate the study of breast cancer using a multilevel perspective. The resource is available at the URL http://www.itb.cnr.it/breastcancer. Conclusions The G2SBC Database represents a systems biology oriented data integration approach devoted to breast cancer. By means of the analysis capabilities provided by the web interface, it is possible to overcome the limits of reductionist resources, enabling predictions that can lead to new experiments.

  4. Radiotherapy waiting times for women with breast cancer: a population-based cohort study.

    OpenAIRE

    Jack, RH; Davies, EA; Robinson, D; Sainsbury, R.; Moller, H.

    2007-01-01

    Abstract Background Waiting times for cancer patients are a national priority in the UK. Previous studies have shown variation between cancer networks in the time between diagnosis and start of radiotherapy for all cancer patients. Studies of the relationship between delay in receiving treatment and survival of breast cancer patients have been inconsistent. This study aimed to examine factors associated with waiting times for radiotherapy for breast cancer patients. Methods 35,354 women resid...

  5. Radiotherapy waiting times for women with breast cancer: a population-based cohort study

    OpenAIRE

    Jack, R H; Davies, E A; Robinson, D; Sainsbury, R.; Møller, H

    2007-01-01

    Background: Waiting times for cancer patients are a national priority in the UK. Previous studies have shown variation between cancer networks in the time between diagnosis and start of radiotherapy for all cancer patients. Studies of the relationship between delay in receiving treatment and survival of breast cancer patients have been inconsistent. This study aimed to examine factors associated with waiting times for radiotherapy for breast cancer patients. Methods: 35,354 women r...

  6. Regulation of Metastatic Breast Cancer Dormancy

    Science.gov (United States)

    2015-09-01

    to begin to unravel the complex resistance seen with metastatic breast cancer , particularly the fear of recurrence 5-10 years after apparent cure...AWARD NUMBER: W81XWH-14-1-0062 TITLE: Regulation of Metastatic Breast Cancer Dormancy PRINCIPAL INVESTIGATOR: Sarah Wheeler CONTRACTING...Metastatic Breast Cancer Dormancy 5a. CONTRACT NUMBER 5b. GRANT NUMBER W81XWH-14-1-0062 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) Sarah Wheeler 5d

  7. Breast cancer and socio-economic factors

    OpenAIRE

    Anees B. Chagpar; Mario Coccia

    2012-01-01

    Purpose: The aim of this study is twofold – on the one hand, to analyze the relationship between incidence of breast cancer, income per capita and medical equipment across countries; after that, the study here discusses the drivers of the incidence of breast cancer across countries in order to pinpoint differences and similarities. Methods: The indicators used are incidence of breast cancer based on Age-standardized rate (ASW); Gross domestic product (GDP) per capita by purchasing power parit...

  8. Osthole inhibits bone metastasis of breast cancer

    OpenAIRE

    Wu, Chunyu; Sun, Zhenping; Guo, Baofeng; Ye, Yiyi; Han, Xianghui; Qin, Yuenong; Liu, Sheng

    2017-01-01

    Bone is one of the most common sites for breast cancer metastasis, which greatly contributes to patient morbidity and mortality. Osthole, a major extract from Cnidium monnieri (L.), exhibits many biological and pharmacological activities, however, its potential as a therapeutic agent in the treatment of breast cancer bone metastases remain poorly understood. In this study, we set out to investigate whether osthole could inhibit breast cancer metastasis to bone in mice and clarified the potent...

  9. The thyroid, iodine and breast cancer

    OpenAIRE

    Smyth, Peter PA

    2003-01-01

    A renewal of the search for a link between breast cancer and thyroid disease has once again demonstrated an increased prevalence of autoimmune thyroid disease in patients with breast cancer. This is the most recent of many studies showing an association between a variety of thyroid disorders and breast cancer. Such an association is not surprising as both diseases are female predominant with a similar postmenopausal peak incidence. The significance of the presence of thyroid autoantibodies, p...

  10. SCREENING FOR EARLY DETECTION OF BREAST CANCER

    Directory of Open Access Journals (Sweden)

    E. A. Rasskazova

    2014-01-01

    Full Text Available The article presents a brief overview of the main methods of breast cancer screening. Proven effectiveness of mammography as a screening method in reducing mortality from breast cancer, specified limits of the method. The main trend of increasing the effectiveness of screening is the transition to digital technologies. Properly organized screening with the active participation of the population reduces mortality from breast cancer by 30%.

  11. [To be cured of breast cancer].

    Science.gov (United States)

    Bobin, Jean-Yves; Guiochet, Nicole; Saez, Simone

    2002-06-01

    Can we say the magic word "cured", "cancer free" for breast cancer patients or can we say only survivors? This litterature review was focused on what mean cured of breast cancer with the long term effects on quality of life of locoregional and systemic therapies and the role of breast reconstruction. Finally changes in the intimacy, sex and love live and psychosocial live were stressed.

  12. Health outcomes of women with breast cancer

    OpenAIRE

    Colzani, Edoardo

    2014-01-01

    The overall survival of breast cancer patients has increased quite remarkably in the past decades in the developed countries due to substantial improvements in diagnosis and treatment. As a consequence, the proportion of women alive after a breast cancer diagnosis is currently increasing. It is therefore becoming of outmost importance to also focus on medium- and long-term health outcomes of women with breast cancer. Swedish population registers were used to study time-dependent surviva...

  13. Active cigarette smoking and risk of breast cancer

    National Research Council Canada - National Science Library

    Catsburg, Chelsea; Miller, Anthony B; Rohan, Thomas E

    2015-01-01

    Although epidemiological evidence on the role of active cigarette smoking in breast cancer risk has been inconsistent, recent literature supports a modest association between smoking and breast cancer...

  14. What Is Hope For Breast Cancer Patients? A Qualitative Study

    Directory of Open Access Journals (Sweden)

    Emanuela Saita

    2015-05-01

    Full Text Available This study explores the function of hope in the life experience of women diagnosed with breast cancer. Despite its relevance, hope is a psychosocial concept still not fully explored by the literature. Aim of the present contribution is therefore to conduct a qualitative examination of semi-structure interviews of women with breast cancer. In particular the connection between hope and eight domains (diagnosis, life events, supportive network, healthcare network, medical treatment, acceptance of the disease, ability to make projects and spirituality associated with it is investigated. The analysis of the interviews of four breast cancer patients met during their hospital staying reveals that hope is an essential aspect of the ability to cope with the illness. Furthermore, our analysis confirms that hope can be placed on a continuum between Cognitive and Emotional dimensions, from the intersections of which 4 possible scenarios (Despairing Space, Fleeting Space, Hesitating Space and Hoping Space can be identified.

  15. A network meta-analysis on the efficacy of targeted agents in combination with chemotherapy for treatment of advanced/metastatic triple-negative breast cancer.

    Science.gov (United States)

    Ge, Long; Tang, Yan; Zhang, Qiu-Ning; Tian, Jin-Hui; Wang, Xiao-Hu; Pieper, Dawid; Pan, Bei; Li, Lun; Ling, Juan; Bing, Zhi-Tong; Yang, Ke-Hu

    2017-08-29

    Our network meta-analysis aimed to determine the assistant efficacy of targeted therapy in combined with chemotherapy for advanced/metastatic triple-negative breast cancer (TNBC). A total of 15 randomized controlled trials (RCTs), involving 2,410 patients, met our inclusion criteria. Eight targeted agents involving 11 treatment arms were included. The methodological quality of included RCTs was acceptable. The results of direct comparisons showed that progression-free survival (PFS) was significantly longer with bevacizumab+chemotherapy when compared to chemotherapy alone (hazard ratio [HR] = 0.62, 95% credible intervals [CrI]: 0.41-0.87). However, there were no statistically significant differences for all other direct comparison groups. The results of indirect comparison of different targeted agents revealed no significant differences regarding all outcomes of interest. According to ranking probabilities, all outcomes favored bevacizumab+chemotherapy and veliparib+chemotherapy. Bayesian and Frequentist network meta-analysis showed similar results, and the probability of bias of small-study effects was small. A comprehensive literature search in PubMed, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science (via ISI Web of Knowledge), BIOSIS Previews (via ISI Web of Knowledge), and Chemical Abstracts (CA) was conducted to identify RCTs involving targeted agents in the treatment of advanced/metastatic TNBC. Two reviewers independently extracted related data and assessed the risk of bias of included studies. Bayesian network meta-analysis was conducted using R-3.3.2 software. Limited evidence showed that targeted agents combined with chemotherapy for advanced/metastatic TNBC were slightly effective. Further investigation of targeted therapies for TNBC is required to improve patient outcomes. The registration number was CRD42014014299.

  16. Risk, Activism, and Empowerment: Women's Breast Cancer in Venezuela.

    Science.gov (United States)

    Eid, Mahmoud; Nahon-Serfaty, Isaac

    2015-01-01

    The prevalence of breast cancer in Venezuela is particularly alarming, which is attributed to healthcare inequalities, low health literacy, and lagging compliance with prevention methods (i.e., screening and mammography). While the right to health is acknowledged by the Venezuelan constitution, activism beyond governmental confines is required to increase women's breast cancer awareness and decrease mortality rates. Through the development of social support and strategic communicative methods enacted by healthcare providers, it may be possible to empower women with the tools necessary for breast cancer prevention. This paper discusses issues surrounding women's breast cancer, such as awareness of the disease and its risks, self-advocacy, and the roles of activists, healthcare providers, and society. Specifically, it describes a four-year action-oriented research project developed in Venezuela, which was a collaborative work among researchers, practitioners, NGOs, patients, journalists, and policymakers. The outcomes include higher levels of awareness and interest among community members and organizations to learn and seek more information about women's breast cancer, better understandings of the communicated messages, more media coverage and medical consultations, increasing positive patient treatments, expansion of networking of NGOs, as well as a widely supported declaration for a national response against breast cancer in Venezuela.

  17. Revealing the Complexity of Breast Cancer by Next Generation Sequencing

    Directory of Open Access Journals (Sweden)

    John Verigos

    2015-11-01

    Full Text Available Over the last few years the increasing usage of “-omic” platforms, supported by next-generation sequencing, in the analysis of breast cancer samples has tremendously advanced our understanding of the disease. New driver and passenger mutations, rare chromosomal rearrangements and other genomic aberrations identified by whole genome and exome sequencing are providing missing pieces of the genomic architecture of breast cancer. High resolution maps of breast cancer methylomes and sequencing of the miRNA microworld are beginning to paint the epigenomic landscape of the disease. Transcriptomic profiling is giving us a glimpse into the gene regulatory networks that govern the fate of the breast cancer cell. At the same time, integrative analysis of sequencing data confirms an extensive intertumor and intratumor heterogeneity and plasticity in breast cancer arguing for a new approach to the problem. In this review, we report on the latest findings on the molecular characterization of breast cancer using NGS technologies, and we discuss their potential implications for the improvement of existing therapies.

  18. Soy, Probiotics, and Breast Cancer Prevention

    National Research Council Canada - National Science Library

    Kurzer, Mindy

    2001-01-01

    .... The methods include in vitro studies to determine the intestinal microflora responsible for phytoestrogen metabolism, and a human feeding study in which 20 postmenopausal breast cancer survivors...

  19. Soy, Probiotics, and Breast Cancer Prevention

    National Research Council Canada - National Science Library

    Kurzer, Mindy

    2000-01-01

    .... The methods include in vitro studies to determine the intestinal microflora responsible for phytoestrogen metablism, and a human feeding study in which 18 postmenopausal breast cancer survivors...

  20. Paclitaxel and doxorubicin in metastatic breast cancer

    DEFF Research Database (Denmark)

    Gehl, J; Boesgaard, M; Paaske, T

    1996-01-01

    For the past decades the anthracyclines have been regarded as among the most active drugs for the treatment of metastatic breast cancer. However, the 5-year survival rate in patients with stage IV breast cancer continues to be below 20%, and new active drugs and drug combinations clearly must...... be explored. Paclitaxel (Taxol; Bristol-Myers Squibb Company, Princeton, NJ) has been demonstrated to be highly effective in treating patients with advanced breast cancer, including those with anthracycline-resistant breast cancer, a fact that has led to efforts to combine paclitaxel and anthracyclines...

  1. Research Training in Biopsychosocial Breast Cancer Research

    National Research Council Canada - National Science Library

    Andrykowski, Michael

    2002-01-01

    This report summarizes activities and accomplishments during the third year of a four year training program in biopsychosocial breast cancer (BC) research. Three trainees (1 postdoctoral; 2 predoctoral...

  2. Causal attribution among women with breast cancer

    Directory of Open Access Journals (Sweden)

    Ana Carolina W. B. Peuker

    2016-01-01

    Full Text Available Abstract Causal attribution among women with breast cancer was studied. The study included 157 women outpatients with breast cancer. A form for sociodemographic and clinical data and the Revised Illness Perception Questionnaire (IPQ-R were used. The results showed that women attributed breast cancer primarily to psychological causes, which does not correspond to known multifactorial causes validated by the scientific community. Providing high quality, patient-centered care requires sensitivity to breast cancer women’s beliefs about the causes of their cancer and awareness of how it can influence patient’s health behaviors after diagnosis. If women with breast cancer attribute the illness to modifiable factors then they can keep a healthy lifestyle, improving their recovery and decrease the probability of cancer recurrence after diagnosis.

  3. Fetal microchimerism in breast and colon cancer

    DEFF Research Database (Denmark)

    Kamper-Jørgensen, M; Biggar, R J; Stamper, Casey L

    2011-01-01

    microchimerism predicts risk for developing breast cancer is unknown. FMc was evaluated in buffy coat cells from presumed healthy women who later developed breast cancer or colon cancer, a cancer in which prior pregnancy appears protective but has different associations with endocrine risk factors. METHODS......1574 Background: Cells acquired by a woman from her baby that durably persist in her blood and tissues is known as fetal microchimerism (FMc). In women with breast cancer, frequency and quantity of FMc in blood and breast tissue is reduced compared to healthy women. Whether the absence of fetal....... DNA from repository buffy coat specimens was tested for male FMc with quantitative PCR targeting the DYS14gene on the Y chromosome. For this analysis, 89 women who developed breast cancer and 67 women who developed colon cancer were evaluable for FMc. Results were compared to 272 women who remained...

  4. Insulin and Breast Cancer Risk

    Science.gov (United States)

    2002-06-01

    Pisani P, Muti P, Crosignani P, Panico S, Pierotti M, Secreto G, Totis A, Fissi R, Mazzoleni Prospective study on hormones and diet in the etiology...4, 1988. 21) Berrino F, Muti P, Micheli A, Bolelli GF, Krogh V, Sciajno R, Pisani P, Panico S, Secreto G.Serum sex steroids levels after menopause... Panico S, Pierotti M, Secreto G, Totis A, Fissi R, Mazzoleni Prospective study on hormones and diet in the etiology of breast cancer In: Diet, hormones and

  5. Integrated Immunotherapy for Breast Cancer

    Science.gov (United States)

    2014-09-01

    Our previous studies have led to key insights into the mechanisms behind the immune dysfunction that breast cancer causes . Comprehending how the...be cultured in calcium‐ free DMEM supplemented with 1% FBS, cholera toxin (10 ng/ml), bovine insulin (3 μg/ml), hydrocortisone (0.5 μg/ml), EGF and...regimens for induction of optimal anti-tumor immunity. Then we will determine the optimal time to administer these regimens during disease

  6. Radiation Therapy in Treating Post-Menopausal Women With Early Stage Breast Cancer Undergoing Surgery

    Science.gov (United States)

    2017-06-07

    Ductal Breast Carcinoma In Situ; Estrogen Receptor Negative; Estrogen Receptor Positive; HER2/Neu Negative; Invasive Cribriform Breast Carcinoma; Invasive Ductal Carcinoma, Not Otherwise Specified; Lobular Breast Carcinoma In Situ; Mucinous Breast Carcinoma; Papillary Breast Carcinoma; Progesterone Receptor Positive; Stage I Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIC Breast Cancer; Tubular Breast Carcinoma

  7. Hereditary breast and ovarian cancer

    DEFF Research Database (Denmark)

    Nielsen, Finn Cilius; Hansen, Thomas van Overeem; Sørensen, Claus Storgaard

    2016-01-01

    Genetic abnormalities in the DNA repair genes BRCA1 and BRCA2 predispose to hereditary breast and ovarian cancer (HBOC). However, only approximately 25% of cases of HBOC can be ascribed to BRCA1 and BRCA2 mutations. Recently, exome sequencing has uncovered substantial locus heterogeneity among...... of putative causal variants and the clinical application of new HBOC genes in cancer risk management and treatment decision-making....... affected families without BRCA1 or BRCA2 mutations. The new pathogenic variants are rare, posing challenges to estimation of risk attribution through patient cohorts. In this Review article, we examine HBOC genes, focusing on their role in genome maintenance, the possibilities for functional testing...

  8. Accessory breast tissue in axilla masquerading as breast cancer recurrence

    Directory of Open Access Journals (Sweden)

    Goyal Shikha

    2008-01-01

    Full Text Available Ectopic or accessory breast tissue is most commonly located in the axilla, though it may be present anywhere along the milk line. Development is hormone dependent, similar to normal breast tissue. These lesions do not warrant any intervention unless they produce discomfort, thus their identification and distinction from other breast pathologies, both benign and malignant, is essential. We report a case with locally advanced breast cancer who presented with an ipsilateral axillary mass following surgery, radiotherapy, and chemotherapy. Subsequent evaluation with excision biopsy showed duct ectasia in axillary breast tissue and the patient was continued on hormone therapy with tamoxifen.

  9. [THE EFFECT OF PREGNANCY ON BREAST CANCER].

    Science.gov (United States)

    Matalon, Shelly Tartakover; Shochet, Gali Epstein; Drucker, Liat; Lishner, Michael

    2015-08-01

    Cancer and pregnancy coincide in about one in 1,000 pregnancies. One of the most common malignancies associated with pregnancy is breast cancer. Women with pregnancy-associated breast cancer (PABC) have a higher likelihood of being diagnosed with metastatic disease and estrogen receptor (ER) negative tumors than do non-pregnant women. Controversies exist regarding the effect of pregnancy on breast cancer prognosis. Some researchers suggest that pregnancy does not affect breast cancer prognosis, whereas others claim the opposite. Although PABC is usually discovered in an advanced stage, breast cancer metastasis on the placenta is a rare event. During cancer progression, the surrounding microenvironment co-evolves into an activated state through continuous communication with the malignant cells, thereby promoting tumor growth. The effect of pregnancy and placental environment on breast cancer biology is the issue of this review. Placental and cancer cells implantation processes share similar molecular pathways. This suggests that placental factors may affect breast cancer cells biology. Previously, we analyzed the effect of first trimester human placenta on breast cancer cells. Breast cancer cells were co-cultured with placental explants during their implantation on matrigel substrate. We found that the placenta reduced ER expression on the cancer cells and induced their migration and invasion abilities. As a result of it, breast cancer cells migrated away from the placental implantation sites. Hormonal pathways were involved in these phenomena. These results may explain the high incidence of metastases during pregnancy in on the one hand and the rarity of metastases on the placenta on the other hand.

  10. Coping with breast cancer: a phenomenological study.

    Science.gov (United States)

    Doumit, Myrna A A; Huijer, Huda Abu-Saad; Kelley, Jane H; El Saghir, Nagi; Nassar, Nada

    2010-01-01

    Breast cancer is the most common malignancy affecting women worldwide. In Lebanon, a country of 4 million people, breast cancer is also the most prevalent type of cancer among Lebanese women. The purpose of this study was to gain a more in-depth understanding of the coping strategies espoused by Lebanese women with breast cancer. The study followed purposeful sampling and saturation principles in which 10 female participants diagnosed as having breast cancer were interviewed. Data were analyzed following a hermeneutical process as described by Diekelmann and Ironside (Encyclopedia of Nursing Research. 1998:50-68). Seven main themes and 1 constitutive pattern emerged from the study describing the Lebanese women's coping strategies with breast cancer. The negative stigma of cancer in the Lebanese culture, the role of women in the Lebanese families, and the embedded role of religion in Lebanese society are bases of the differences in the coping strategies of Lebanese women with breast cancer as compared to women with breast cancer from other cultures. These findings cannot be directly generalized, but they could act as a basis for further research on which to base a development of a framework for an approach to care that promotes coping processes in Lebanese women living with breast cancer. Nursing and medical staff need to have a better understanding of the individual coping strategies of each woman and its impact on the woman's well being; the creation of informal support group is indispensable in helping these women cope with their conditions.

  11. Association between breast and thyroid cancers

    Directory of Open Access Journals (Sweden)

    Lehrer S

    2014-02-01

    Full Text Available Steven Lehrer, Sheryl Green, John A Martignetti, Kenneth E Rosenzweig Departments of Radiation Oncology and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA Background: The risk of thyroid cancer is known to be slightly increased in women after treatment for breast cancer. In the current study, we analyzed the incidence of thyroid cancer and breast cancer in 50 US states and in the District of Columbia to ascertain how often these two diseases are associated. Methods: Data on the incidence of thyroid cancer were obtained from the Centers for Disease Control and Prevention and the National Cancer Institute and data on the incidence of breast cancer were from the American Cancer Society. Data on the average number of children per family with children and mean household income were sourced from the US Bureau of the Census and prevalence of obesity by state is determined from a paper published in 2010 on state-specific obesity prevalence among US adults by the Centers for Disease Control and Prevention. Results: There was a significant association between breast and thyroid cancer (P=0.002. Since the incidence of breast cancer increases with increasing income and obesity, while decreasing with parity, multiple linear regression was performed. Breast cancer incidence was significantly related to thyroid cancer incidence (β=0.271, P=0.039, inversely related to average number of children per family with children (β=-0.271, P=0.039, unrelated to adult obesity (β=0.134, P=0.369, and significantly related to family income (β=0.642, P<0.001. Conclusion: This study identifies an association between breast and thyroid cancer. The association suggests that unexplored breast-thyroid cancer susceptibility loci exist and warrant further study. Keywords: breast cancer, thyroid cancer, genetics, association

  12. Long-term side effects of adjuvant breast cancer treatment

    NARCIS (Netherlands)

    Buijs, Ciska

    2008-01-01

    Breast cancer is the most common malignancy in women. Breast cancer accounts for one-third of all cancers in females and 24% of the patients are younger than 55 years of age. More than 10% all Dutch women will develop breast cancer and 70-80% of all breast cancer patients will survive over 5 years.

  13. Male Breast Cancer

    Science.gov (United States)

    ... instructor. Exercise. Gentle exercise may help boost your mood and make you feel better. Ask your doctor to recommend appropriate exercise. Creative activities. Certain activities, such as art, dance and music, may help you feel less distressed. Some cancer ...

  14. Automatically assessed volumetric breast density and breast cancer risk : The era of digital screening mammography

    NARCIS (Netherlands)

    Wanders, J.O.P .

    2017-01-01

    Breast cancer is the most frequently diagnosed cancer among females worldwide. As the burden of breast cancer is high, many countries have introduced a breast cancer screening program with the aim to find and treat breast cancers in an early stage. In the Netherlands, women between the ages of 50

  15. Breast edema in breast cancer patients following breast-conserving surgery and radiotherapy: a systematic review.

    Science.gov (United States)

    Verbelen, Hanne; Gebruers, Nick; Beyers, Tinne; De Monie, Anne-Caroline; Tjalma, Wiebren

    2014-10-01

    Breast-conserving surgery (BCS) is commonly used in breast cancer treatment. Despite its benefits, some women will be troubled by breast edema. Breast edema may cause an unsatisfactory cosmetic result, influencing the quality of life. The purpose of this systematic review is to investigate the incidence of breast edema and to identify risk factors of breast edema in breast cancer patients following BCS and radiotherapy. A systematic literature search was performed using different electronic databases (PubMed, Web of Science, Cochrane, Embase) until June 2014. Inclusion criteria were as follows: (1) research studies that included female breast cancer patients who were treated with BCS and radiotherapy and (2) studies that investigated the incidence of breast edema and/or risk factors of breast edema. Exclusion criteria were (1) reviews or case studies and (2) studies published before 1995. We identified in total 28 papers which represented 4,011 patients. There was a great variation in the incidence of breast edema (0-90.4 %). We identified several possible risk factors for breast edema namely increasing irradiated breast volume, increasing boost volume, the use of a photon boost, increasing breast separation, a higher density of the breast tissue, a large tumor, a higher specimen weight, postoperative infection, acute postoperative toxicity, and diabetes mellitus. However, their prognostic value remains uncertain. Breast edema is a common complaint after BCS and radiotherapy. A number of possible risk factors associated with breast edema were identified, but further research is warranted.

  16. HER2-associated radiation resistance of breast cancer stem cells isolated from HER2-negative breast cancer cells

    Science.gov (United States)

    Duru, Nadire; Fan, Ming; Candas, Demet; Menaa, Cheikh; Liu, Hsin-Chen; Nantajit, Danupon; Wen, Yunfei; Xiao, Kai; Eldridge, Angela; Chromy, Brett A.; Li, Shiyong; Spitz, Douglas R.; Lam, Kit S.; Wicha, Max S.; Li, Jian Jian

    2012-01-01

    Purpose To understand the role of HER2-associated signaling network in breast cancer stem cells (BCSCs); using radiation-resistant breast cancer cells and clinical recurrent breast cancers to evaluate HER2-targeted therapy as a tumor eliminating strategy for recurrent HER2−/low breast cancers. Experimental Design HER2-expressing BCSCs (HER2+/CD44+/CD24−/low) were isolated from radiation-treated breast cancer MCF7 cells and in vivo irradiated MCF7 xenograft tumors. Tumor aggressiveness and radiation resistance were analyzed by gap filling, Matrigel invasion, tumor-sphere formation, and clonogenic survival assays. The HER2/CD44 feature was analyzed in 40 primary and recurrent breast cancer specimens. Protein expression profiling in HER2+/CD44+/CD24−/low versus HER2−/CD44+/CD24−/low BCSCs was conducted with 2-D DIGE and HPLC-MS/MS analysis and HER2-mediated signaling network was generated by MetaCore™ program. Results Compared to HER2-negative BCSCs, HER2+/CD44+/CD24−/low cells showed elevated aldehyde dehydrogenase (ALDH) activity and aggressiveness tested by matrigel invasion, tumor sphere formation and in vivo tumorigenesis. The enhanced aggressive phenotype and radioresistance of the HER2+/CD44+/CD24−/low cells were markedly reduced by inhibition of HER2 via siRNA or Herceptin treatments. Clinical breast cancer specimens revealed that cells co-expressing HER2 and CD44 were more frequently detected in recurrent (84.6%) than primary tumors (57.1%). In addition, 2-D DIGE and HPLC-MS/MS of HER2+/CD44+/CD24−/low versus HER2−/CD44+/CD24−/low BCSCs reported a unique HER2-associated protein profile including effectors involved in tumor metastasis, apoptosis, mitochondrial function and DNA repair. A specific feature of HER2-STAT3 network was identified. Conclusion This study provides the evidence that HER2-mediated pro-survival signaling network is responsible for the aggressive phenotype of breast cancer stem cells that could be targeted to control

  17. Brachytherapy in breast cancer: an effective alternative

    Science.gov (United States)

    Chicheł, Adam

    2014-01-01

    Breast conserving surgery (BCS) with following external beam radiation therapy (EBRT) of the conserved breast has become widely accepted in the last decades for the treatment of early invasive breast cancer. The standard technique of EBRT after BCS is to treat the whole breast up to a total dose of 42.5 to 50 Gy. An additional dose is given to treated volume as a boost to a portion of the breast. In the early stage of breast cancer, research has shown that the area requiring radiation treatment to prevent the cancer from local recurrence is the breast tissue that surrounds the area where the initial cancer was removed. Accelerated partial breast irradiation (APBI) is an approach that treats only the lumpectomy bed plus a 1-2 cm margin rather than the whole breast and as a result allows accelerated delivery of the radiation dose in four to five days. There has been a growing interest for APBI and various approaches have been developed under phase I-III clinical studies; these include multicatheter interstitial brachytherapy, balloon catheter brachytherapy, conformal external beam radiation therapy (3D-EBRT) and intra-operative radiation therapy (IORT). Balloon-based brachytherapy approaches include MammoSite, Axxent electronic brachytherapy, Contura, hybrid brachytherapy devices. Another indication for breast brachytherapy is reirradiation of local recurrence after mastectomy. Published results of brachytherapy are very promising. We discuss the current status, indications, and technical aspects of breast cancer brachytherapy. PMID:26327829

  18. Carboplatin and Paclitaxel Albumin-Stabilized Nanoparticle Formulation Before Surgery in Treating Patients With Locally Advanced or Inflammatory Triple Negative Breast Cancer

    Science.gov (United States)

    2017-09-06

    Inflammatory Breast Cancer; Stage IIA Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Triple-negative Breast Cancer; Stage IIB Breast Cancer; Estrogen Receptor Negative; Progesterone Receptor Negative; HER2/Neu Negative

  19. Pathway-based discovery of genetic interactions in breast cancer.

    Directory of Open Access Journals (Sweden)

    Wen Wang

    2017-09-01

    Full Text Available Breast cancer is the second largest cause of cancer death among U.S. women and the leading cause of cancer death among women worldwide. Genome-wide association studies (GWAS have identified several genetic variants associated with susceptibility to breast cancer, but these still explain less than half of the estimated genetic contribution to the disease. Combinations of variants (i.e. genetic interactions may play an important role in breast cancer susceptibility. However, due to a lack of statistical power, the current tests for genetic interactions from GWAS data mainly leverage prior knowledge to focus on small sets of genes or SNPs that are known to have an association with breast cancer. Thus, many genetic interactions, particularly among novel variants, remain understudied. Reverse-genetic interaction screens in model organisms have shown that genetic interactions frequently cluster into highly structured motifs, where members of the same pathway share similar patterns of genetic interactions. Based on this key observation, we recently developed a method called BridGE to search for such structured motifs in genetic networks derived from GWAS studies and identify pathway-level genetic interactions in human populations. We applied BridGE to six independent breast cancer cohorts and identified significant pathway-level interactions in five cohorts. Joint analysis across all five cohorts revealed a high confidence consensus set of genetic interactions with support in multiple cohorts. The discovered interactions implicated the glutathione conjugation, vitamin D receptor, purine metabolism, mitotic prometaphase, and steroid hormone biosynthesis pathways as major modifiers of breast cancer risk. Notably, while many of the pathways identified by BridGE show clear relevance to breast cancer, variants in these pathways had not been previously discovered by traditional single variant association tests, or single pathway enrichment analysis that does

  20. Neural networks combined with region growing techniques for tumor detection in [18F]-fluorothymidine dynamic positron emission tomography breast cancer studies

    Science.gov (United States)

    Cseh, Zoltan; Kenny, Laura; Swingland, James; Bose, Subrata; Turheimer, Federico E.

    2013-03-01

    Early detection and precise localization of malignant tumors has been a primary challenge in medical imaging in recent years. Functional modalities play a continuously increasing role in these efforts. Image segmentation algorithms which enable automatic, accurate tumor visualization and quantification on noisy positron emission tomography (PET) images would significantly improve the quality of treatment planning processes and in turn, the success of treatments. In this work a novel multistep method has been applied in order to identify tumor regions in 4D dynamic [18F] fluorothymidine (FLT) PET studies of patients with locally advanced breast cancer. In order to eliminate the effect of inherently detectable high inhomogeneity inside tumors, specific voxel-kinetic classes were initially introduced by finding characteristic FLT-uptake curves with K-means algorithm on a set of voxels collected from each tumor. Image voxel sets were then split based on voxel time-activity curve (TAC) similarities, and models were generated separately on each voxel set. At first, artificial neural networks, in comparison with linear classification algorithms were applied to distinguish tumor and healthy regions relying on the characteristics of TACs of the individual voxels. The outputs of the best model with very high specificity were then used as input seeds for region shrinking and growing techniques, the application of which considerably enhanced the sensitivity and specificity (78.65% +/- 0.65% and 98.98% +/- 0.03%, respectively) of the final image segmentation model.

  1. Prognostic factors for metachronous contralateral breast cancer: a comparison of the linear Cox regression model and its artificial neural network extension.

    Science.gov (United States)

    Mariani, L; Coradini, D; Biganzoli, E; Boracchi, P; Marubini, E; Pilotti, S; Salvadori, B; Silvestrini, R; Veronesi, U; Zucali, R; Rilke, F

    1997-06-01

    The purpose of the present study was to assess prognostic factor for metachronous contralateral recurrence of breast cancer (CBC). Two factors were of particular interest, namely estrogen (ER) and progesterone (PgR) receptors assayed with the biochemical method in primary tumor tissue. Information was obtained from a prospective clinical database for 1763 axillary node-negative women who had received curative surgery, mostly of the conservative type, and followed-up for a median of 82 months. The analysis was performed based on both a standard (linear) Cox model and an artificial neural network (ANN) extension of this model proposed by Faraggi and Simon. Furthermore, to assess the prognostic importance of the factors considered, model predictive ability was computed. In agreement with already published studies, the results of our analysis confirmed the prognostic role of age at surgery, histology, and primary tumor site, in that young patients (extensive intraductal component, and a lower hazard in infiltrating lobular carcinoma or other histotypes. In spite of the above findings, the predictive value of both the standard and ANN Cox models was relatively low, thus suggesting an intrinsic limitation of the prognostic variables considered, rather than their suboptimal modeling. Research for better prognostic variables should therefore continue.

  2. Over surgery in breast cancer.

    Science.gov (United States)

    MacNeill, Fiona; Karakatsanis, Andreas

    2017-02-01

    Breast surgery remains the original and most effective 'targeted' therapy: excision of early cancer is curative and for more advanced disease surgery improves local disease control. However in well intentioned pursuit of cure and local disease control, some cancers are over-treated resulting in major physical and emotional morbidity. Less breast surgery is safe, as evidenced by steady reductions in mortality and local recurrence; earlier diagnosis and widespread use of systemic therapies and radiotherapy have allowed more conservative surgery. As tumour biology dictates cancer outcomes not surgery extent, surgery can safely be 'minimum required' rather than 'more is better' with the focus on removal of disease rather than healthy tissue. Surgeons can reduce the burden of surgery further but it is important that less surgery is not over-compensated by more radical or unnecessary systemic therapies and/or radiotherapy with their own toxicities and morbidity. We all need to be alert to the potential drivers of over treatment and over surgery such as failure to work within a multidisciplinary team, failure to design a multimodality treatment plan at diagnosis or overuse of novel assessment technologies of uncertain clinical utility. Pursuit of wide margins and the removal of the contra-lateral healthy breast for marginal risk-reduction gains are also to be discouraged as is routine local/regional surgery in stage 4 disease. The surgeon has a pivotal role in minimizing breast surgery to what is required to achieve the best oncological, functional and aesthetic outcomes. Copyright © 2016. Published by Elsevier Ltd.

  3. Manganese superoxide dismutase and breast cancer recurrence

    DEFF Research Database (Denmark)

    Cronin-Fenton, Deirdre P; Christensen, Mariann; Lash, Timothy L

    2014-01-01

    BACKGROUND: Manganese superoxide dismutase (MnSOD) inhibits oxidative damage and cancer therapy effectiveness. A polymorphism in its encoding gene (SOD2: Val16Ala rs4880) may confer poorer breast cancer survival, but data are inconsistent. We examined the association of SOD2 genotype and breast......-metastatic breast cancer from 1990-2001, received adjuvant Cyclo, and were registered in the Danish Breast Cancer Cooperative Group. We identified 118 patients with BCR and 213 matched breast cancer controls. We genotyped SOD2 and used conditional logistic regression to compute the odds ratio (OR) and associated 95...... cancer recurrence (BCR) among patients treated with cyclophosphamide-based chemotherapy (Cyclo). We compared our findings with published studies using meta-analyses. METHODS: We conducted a population-based case-control study of BCR among women in Jutland, Denmark. Subjects were diagnosed with non...

  4. Osthole inhibits bone metastasis of breast cancer.

    Science.gov (United States)

    Wu, Chunyu; Sun, Zhenping; Guo, Baofeng; Ye, Yiyi; Han, Xianghui; Qin, Yuenong; Liu, Sheng

    2017-08-29

    Bone is one of the most common sites for breast cancer metastasis, which greatly contributes to patient morbidity and mortality. Osthole, a major extract from Cnidium monnieri (L.), exhibits many biological and pharmacological activities, however, its potential as a therapeutic agent in the treatment of breast cancer bone metastases remain poorly understood. In this study, we set out to investigate whether osthole could inhibit breast cancer metastasis to bone in mice and clarified the potential mechanism of this inhibition. In the murine model of breast cancer osseous metastasis, mice that received osthole developed significantly less bone metastases and displayed decreased tumor burden when compared with mice in the control group. Osthole inhibited breast cancer cell growth, migration, and invasion, and induced apoptosis of breast cancer cells. Additionally, it also regulated OPG/RANKL signals in the interactions between bone cells (osteoblasts and osteoclasts) and cancer cells. Besides, it also inhibited TGF-β/Smads signaling in breast cancer metastasis to bone in MDA-231BO cells. The results of this study suggest that osthole has real potential as a therapeutic candidate in the treatment of breast cancer patients with bone metastases.

  5. RAD51B in Familial Breast Cancer

    DEFF Research Database (Denmark)

    Pelttari, Liisa M; Khan, Sofia; Vuorela, Mikko

    2016-01-01

    Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study was to investigate the role of RAD51B variants in breast cancer predisposition......, particularly in the context of familial breast cancer in Finland. We sequenced the coding region of RAD51B in 168 Finnish breast cancer patients from the Helsinki region for identification of possible recurrent founder mutations. In addition, we studied the known rs999737, rs2588809, and rs1314913 SNPs and RAD......51B haplotypes in 44,791 breast cancer cases and 43,583 controls from 40 studies participating in the Breast Cancer Association Consortium (BCAC) that were genotyped on a custom chip (iCOGS). We identified one putatively pathogenic missense mutation c.541C>T among the Finnish cancer patients...

  6. Coming of age: breast cancer in seniors

    National Research Council Canada - National Science Library

    Muss, Hyman B

    2011-01-01

    In the U.S., cancer is a disease of aging. The average 65-year-old patient has an anticipated life expectancy of 20 years, and clinicians should take this into account when making breast cancer management decisions...

  7. Coming of age: breast cancer in seniors

    National Research Council Canada - National Science Library

    Muss, Hyman B

    2010-01-01

    In the U.S., cancer is a disease of aging. The average 65-year-old patient has an anticipated life expectancy of 20 years, and clinicians should take this into account when making breast cancer management decisions...

  8. Breast Cancers Between Mammograms Have Aggressive Features

    Science.gov (United States)

    Breast cancers that are discovered in the period between regular screening mammograms—known as interval cancers—are more likely to have features associated with aggressive behavior and a poor prognosis than cancers found via screening mammograms.

  9. Estimating the Risks of Breast Cancer Radiotherapy

    DEFF Research Database (Denmark)

    Taylor, Carolyn; Correa, Candace; Duane, Frances K

    2017-01-01

    Purpose Radiotherapy reduces the absolute risk of breast cancer mortality by a few percentage points in suitable women but can cause a second cancer or heart disease decades later. We estimated the absolute long-term risks of modern breast cancer radiotherapy. Methods First, a systematic literature...... review was performed of lung and heart doses in breast cancer regimens published during 2010 to 2015. Second, individual patient data meta-analyses of 40,781 women randomly assigned to breast cancer radiotherapy versus no radiotherapy in 75 trials yielded rate ratios (RRs) for second primary cancers...... and cause-specific mortality and excess RRs (ERRs) per Gy for incident lung cancer and cardiac mortality. Smoking status was unavailable. Third, the lung or heart ERRs per Gy in the trials and the 2010 to 2015 doses were combined and applied to current smoker and nonsmoker lung cancer and cardiac mortality...

  10. Genetics and molecular biology of breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    King, M.C. [California Univ., Berkeley, CA (United States); Lippman, M. [Georgetown Univ. Medical Center, Washington, DC (United States)] [comps.

    1992-12-31

    This volume contains the abstracts of oral presentations and poster sessions presented at the Cold Springs Harbor Meeting on Cancer Cells, this meeting entitled Genetics and Molecular Biology of Breast Cancer.

  11. Intraoperative Radiotherapy for Breast Cancer

    Directory of Open Access Journals (Sweden)

    Eleanor E. R. Harris

    2017-12-01

    Full Text Available Intraoperative radiotherapy (IORT for early stage breast cancer is a technique for partial breast irradiation. There are several technologies in clinical use to perform breast IORT. Regardless of technique, IORT generally refers to the delivery of a single dose of radiation to the periphery of the tumor bed in the immediate intraoperative time frame, although some protocols have performed IORT as a second procedure. There are two large prospective randomized trials establishing the safety and efficacy of breast IORT in early stage breast cancer patients with sufficient follow-up time on thousands of women. The advantages of IORT for partial breast irradiation include: direct visualization of the target tissue ensuring treatment of the high-risk tissue and eliminating the risk of marginal miss; the use of a single dose coordinated with the necessary surgical excision thereby reducing omission of radiation and the selection of mastectomy for women without access to a radiotherapy facility or unable to undergo several weeks of daily radiation; favorable toxicity profiles; patient convenience and cost savings; radiobiological and tumor microenvironment conditions which lead to enhanced tumor control. The main disadvantage of IORT is the lack of final pathologic information on the tumor size, histology, margins, and nodal status. When unexpected findings on final pathology such as positive margins or positive sentinel nodes predict a higher risk of local or regional recurrence, additional whole breast radiation may be indicated, thereby reducing some of the convenience and low-toxicity advantages of sole IORT. However, IORT as a tumor bed boost has also been studied and appears to be safe with acceptable toxicity. IORT has potential efficacy advantages related to overall survival related to reduced cardiopulmonary radiation doses. It may also be very useful in specific situations, such as prior to oncoplastic reconstruction to improve accuracy of

  12. Palbociclib in Combination With Tamoxifen as First Line Therapy for Metastatic Hormone Receptor Positive Breast Cancer

    Science.gov (United States)

    2017-08-23

    Hormone Receptor Positive Malignant Neoplasm of Breast; Human Epidermal Growth Factor 2 Negative Carcinoma of Breast; Estrogen Receptor Positive Breast Cancer; Progesterone Receptor Positive Tumor; Metastatic Breast Cancer

  13. [Breast tomosynthesis: a new tool for diagnosing breast cancer].

    Science.gov (United States)

    Martínez Miravete, P; Etxano, J

    2015-01-01

    Breast cancer continues to be the most common malignant tumor in women in occidental countries. Mammography is currently the technique of choice for screening programs; however, although it has been widely validated, mammography has its limitations, especially in dense breasts. Breast tomosynthesis is a revolutionary advance in the diagnosis of breast cancer. It makes it possible to define lesions that are occult in the glandular tissue and therefore to detect breast tumors that are impossible to see on conventional mammograms. In considering the combined use of mammography and tomosynthesis, many factors must be taken into account apart from cancer detection; these include additional radiation, the recall rate, and the time necessary to carry out and interpret the two tests. In this article, we review the technical principles of tomosynthesis, it main uses, and the future perspective for this imaging technique. Copyright © 2013 SERAM. Published by Elsevier España, S.L.U. All rights reserved.

  14. Thyroid function and survival following breast cancer.

    Science.gov (United States)

    Brandt, J; Borgquist, S; Almquist, M; Manjer, J

    2016-11-01

    Thyroid function has been associated with breast cancer risk, and breast cancer cell growth and proliferation. It is not clear whether thyroid function affects prognosis following breast cancer but, if so, this could have an important clinical impact. The present study analysed prospectively collected measurements of free tri-iodothyronine (T3), free thyroxine (T4), thyroid-stimulating hormone (TSH) and thyroid peroxidase antibodies (TPO-Ab) in relation to breast cancer survival. The Malmö Diet and Cancer Study is a prospective cohort study of 17 035 women in Sweden. Study enrolment was conducted between 1991 and 1996. Patients with incident breast cancer were identified through record linkage with cancer registries until 31 December 2006. Information on vital status was collected from the Swedish Cause of Death Registry, with the endpoint breast cancer mortality (31 December 2013). Hazard ratios (HRs) with 95 per cent confidence intervals (c.i.) were obtained by Cox proportional hazards analysis. Some 766 patients with incident breast cancer were identified, of whom 551 were eligible for analysis. Compared with patients in the first free T4 tertile, breast cancer mortality was lower among those in the second tertile (HR 0·49, 95 per cent c.i. 0·28 to 0·84). There was an indication, although non-significant, of lower breast cancer mortality among patients in the second TSH tertile (HR 0·63, 0·37 to 1·09) and in those with positive TPO-Ab status (HR 0·61, 0·30 to 1·23). Free T3 showed no clear association with mortality. In the present study, there was a positive association between free T4 levels and improved breast cancer survival. © 2016 BJS Society Ltd Published by John Wiley & Sons Ltd.

  15. Effects of Tomato- and Soy-rich diets on the IGF-1 Hormonal Network: A Crossover Study of Postmenopausal Women at High Risk for Breast Cancer

    Science.gov (United States)

    McLaughlin, John M.; Olivo-Marston, Susan; Vitolins, Mara Z.; Bittoni, Marisa; Reeves, Katherine W.; Degraffinreid, Cecilia R.; Schwartz, Steven J.; Clinton, Steven K.; Paskett, Electra D.

    2013-01-01

    Objective To determine if dietary modifications with tomato products and/or a soy supplement affected circulating levels of IGF-1 and other markers of cell-signaling in postmenopausal women at risk for breast cancer. Methods Eligible and consented postmenopausal women at high risk for developing breast cancer were enrolled in a 26-week, two-arm (tomato and soy, 10 weeks each) longitudinal dietary intervention study in which each woman served as her own control. Changes in biochemical endpoints including Insuline-like Growth Factor (IGF)-1, IGF binding protein (BP)-3, estradiol, sex hormone binding globulin (SHBG), c-peptide, and insulin were measured for each intervention arm. Carotenoid and isoflavone levels were measured to assess adherence. Results Significant increases in carotenoid and isoflavone levels during the tomato and soy study arms, respectively, suggested that women were adherent to both arms of the intervention. The tomato-rich diet had little effect on cell-signaling biomarkers previously associated with breast cancer risk. However, results of the soy intervention showed that concentrations of IGF-1 and IGFBP-3 increased by 21.6 and 154.7 μmol/L, respectively (p=0.001 for both) and SHBG decreased by 5.4 μmol/L (p<0.001) after consumption of the soy protein supplement. Conclusions Increased soy protein intake may lead to small, but significant, increases in IGF-1 and IGFBP-3. Soy consumption also led to a significant decrease in SHBG, which has been hypothesized to promote, rather than prevent, cancer growth. Previous epidemiological studies, however, have confirmed soy’s protective effect on breast cancer. Additional investigation regarding the effect of soy on breast cancer risk and its mechanism of action appears warranted. PMID:21430071

  16. Effects of tomato- and soy-rich diets on the IGF-I hormonal network: a crossover study of postmenopausal women at high risk for breast cancer.

    Science.gov (United States)

    McLaughlin, John M; Olivo-Marston, Susan; Vitolins, Mara Z; Bittoni, Marisa; Reeves, Katherine W; Degraffinreid, Cecilia R; Schwartz, Steven J; Clinton, Steven K; Paskett, Electra D

    2011-05-01

    To determine whether dietary modifications with tomato products and/or a soy supplement affected circulating levels of insulin-like growth factor (IGF)-1 and other markers of cell signaling in postmenopausal women at risk for developing breast cancer. Eligible and consented postmenopausal women at high risk for developing breast cancer were enrolled in a 26-week, two-arm (tomato and soy, 10 weeks each) longitudinal dietary intervention study in which each woman served as her own control. Changes in biochemical endpoints including IGF-I, IGF-binding protein (IGFBP)-3, estradiol, sex hormone-binding globulin (SHBG), C-peptide, and insulin were measured for each intervention arm. Carotenoid and isoflavone levels were measured to assess adherence. Significant increases in carotenoid and isoflavone levels during the tomato and soy study arms, respectively, suggested that women were adherent to both arms of the intervention. The tomato-rich diet had little effect on cell-signaling biomarkers previously associated with breast cancer risk. However, results of the soy intervention showed that concentrations of IGF-I and IGFBP-3 increased by 21.6 and 154.7 μmol/L, respectively (P = 0.001 for both) and SHBG decreased by 5.4 μmol/L (P < 0.001) after consumption of the soy protein supplement. Increased soy protein intake may lead to small, but significant, increases in IGF-I and IGFBP-3. Soy consumption also led to a significant decrease in SHBG, which has been hypothesized to promote, rather than prevent, cancer growth. Previous epidemiologic studies, however, have confirmed protective effect of soy on breast cancer. Additional investigation about the effect of soy on breast cancer risk and its mechanism of action is warranted.

  17. 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

    from putative bCSC and reverse engineering of transcription control networks, we identified two networks associated with this phenotype. One controlled by SNAI2, TWIST1, BNC2, PRRX1 and TBX5 drives a mesenchymal or CSC-like phenotype. The second network is controlled by the SCML4, ZNF831, SP140...

  18. Breast cancer screening effect across breast density strata: A case-control study

    NARCIS (Netherlands)

    Waal, D. van der; Ripping, T.M.; Verbeek, A.L.M.; Broeders, M.J.

    2017-01-01

    Breast cancer screening is known to reduce breast cancer mortality. A high breast density may affect this reduction. We assessed the effect of screening on breast cancer mortality in women with dense and fatty breasts separately. Analyses were performed within the Nijmegen (Dutch) screening

  19. Breast Cancer During Pregnancy: Case Report

    Directory of Open Access Journals (Sweden)

    Serden Ay

    2013-06-01

    Full Text Available During pregnancy breast cancer is rarely seen. In this case, when the patient was being operated for the right breast cancer which was diagnosed in the first exam, a left breast cancer was also detected in the operation. When the patient analysed retrospectively, lesion in the left breast could not detected because of the lactation period. Consequently,pregnancy patients must be re-examined after the lactation period to avoid any possible mistakes. [Cukurova Med J 2013; 38(3.000: 492-494

  20. Application of artificial neural networks for predicting presence of non-sentinel lymph node metastases in breast cancer patients with positive sentinel lymph node biopsies.

    Science.gov (United States)

    Nowikiewicz, Tomasz; Wnuk, Paweł; Małkowski, Bogdan; Kurylcio, Andrzej; Kowalewski, Janusz; Zegarski, Wojciech

    2017-10-01

    The aim of this study was to present a new predictive tool for non-sentinel lymph node (nSLN) metastases. One thousand five hundred eighty-three patients with early-stage breast cancer were subjected to sentinel lymph node biopsy (SLNB) between 2004 and 2012. Metastatic SLNs were found in 348 patients - the retrospective group. Selective axillary lymph node dissection (ALND) was performed in 94% of cases. Involvement of the nSLNs was identified in 32.1% of patients following ALND. The correlation between nSLN involvement and selected epidemiological data, primary tumor features and details of the diagnostic and therapeutic management was examined in metastatic SLN group. Multivariate analysis was performed using an artificial neural network to create a new nomogram. The new test was validated using the overall study population consisting of the prospective group (365 patients - SLNB between 01-07.2013). Accuracy of the new test was calculated using area under the receiver operating characteristics curve (AUC). We obtained AUC coefficient equal to 0.87 (95% confidence interval: 0.81-0.92). Sensitivity amounted to 69%, specificity to 86%, accuracy - 80% (retrospective group) and 77%, 46%, 66% (validation group), respectively. The Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram the calculated AUC value was 0.71, for Stanford - 0.68, for Tenon - 0.67. In the analyzed group only the MSKCC nomogram and the new model showed AUC values exceeding the expected level of 0.70. Our nomogram performs well in prospective validation on patient series. The overall assessment of clinical usefulness of this test will be possible after testing it on different patient populations.

  1. GDC-0941 and Cisplatin in Treating Patients With Androgen Receptor-Negative Triple Negative Metastatic Breast Cancer

    Science.gov (United States)

    2017-05-22

    Estrogen Receptor Negative Breast Cancer; Human Epidermal Growth Factor 2 Negative Carcinoma of Breast; Triple Negative Breast Cancer; Recurrent Breast Cancer; Stage IV Breast Cancer; Triple-negative Breast Cancer

  2. KeraStat Skin Therapy in Treating Radiation Dermatitis in Patients With Newly Diagnosed Stage 0-IIIA Breast Cancer

    Science.gov (United States)

    2017-05-25

    Ductal Breast Carcinoma in Situ; Skin Reactions Secondary to Radiation Therapy; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer

  3. Breast Cancer Rates by Race and Ethnicity

    Science.gov (United States)

    ... Language: English (US) Español (Spanish) Recommend on Facebook Tweet Share Compartir The rate of women getting breast cancer or dying from breast cancer varies by race and ethnicity. Incidence Rates by Race/Ethnicity “Incidence rate” means how many women out of a given number ...

  4. Methylation markers for early breast cancer detection : -

    NARCIS (Netherlands)

    Suijkerbuijk, K.P.M.|info:eu-repo/dai/nl/304822280

    2010-01-01

    Women known with a familial predisposition or a personal history of breast cancer bear an up to 85% lifetime risk of developing breast cancer. Despite regular screening, up to 50% of these women develop “interval malignancies” that are discovered in between screening visits. Therefore, novel ways of

  5. Screening for breast cancer with mammography

    DEFF Research Database (Denmark)

    Gøtzsche, Peter C; Jørgensen, Karsten Juhl

    2013-01-01

    A variety of estimates of the benefits and harms of mammographic screening for breast cancer have been published and national policies vary.......A variety of estimates of the benefits and harms of mammographic screening for breast cancer have been published and national policies vary....

  6. Management of pregnancy associated breast cancer | Ohanaka ...

    African Journals Online (AJOL)

    Background: The peak age incidence for breast cancer in developing countries is 35-45 years, which is part of the reproductive years of our women. As women defer childbearing on account of education and careers, the incidence of pregnancy associated breast cancer is expected to increase. Aim: This study presents 4 ...

  7. Spindle Cell Metaplastic Breast Cancer: Case Report

    Directory of Open Access Journals (Sweden)

    Dursun Ozgur Karakas

    2013-08-01

    Conclusion: Spindle cell metaplastic breast cancer must be considered in differential diagnosis of breast cancers, and preoperative immunohistochemical examination, including cytokeratin and vimentin, must be added to pathological examination in intervening cases. [Arch Clin Exp Surg 2013; 2(4.000: 259-262

  8. The hidden sentinel node in breast cancer

    NARCIS (Netherlands)

    Tanis, P. J.; van Sandick, J. W.; Nieweg, O. E.; Valdés Olmos, R. A.; Rutgers, E. J. T.; Hoefnagel, C. A.; Kroon, B. B. R.

    2002-01-01

    The purpose of this study was to analyse the occurrence of non-visualisation during preoperative lymphoscintigraphy for sentinel node identification in breast cancer. Preoperative lymphoscintigraphy was performed in 495 clinically node-negative breast cancer patients (501 sentinel node procedures)

  9. A new look at breast density and breast cancer risk

    NARCIS (Netherlands)

    Haars, G.

    2008-01-01

    Breast density, as visible on mammograms, comprises connective and epithelial tissue and can be seen to represent the glandular target tissue for breast cancer, whereas the non-dense tissue mainly comprises fat. High percentages of density are established to be one of the strongest risk factors of

  10. Conservative breast management of breast cancer in the Niger Delta

    African Journals Online (AJOL)

    Background: Conservative breast management (CBM) has become the standard of care for early breast cancer especially in developed countries. However it's utilization in Nigeria, a developing country is greatly limited even in early cases despite international clinical trials confirming equivalent survivals for CBM and ...

  11. Breast self examination and breast cancer: Knowledge and practice ...

    African Journals Online (AJOL)

    Background: Medical students play an important role in creating a supportive environment within their communities for screening behaviours in health promotion. Medical students must possess the appropriate knowledge concerning breast self examination. (BSE) and breast cancer to be effective health educators.

  12. Breast self examination and breast cancer: Knowledge and practice ...

    African Journals Online (AJOL)

    Background: Medical students play an important role in creating a supportive environment within their communities for screening behaviours in health promotion. Medical students must possess the appropriate knowledge concerning breast self examination (BSE) and breast cancer to be effective health educators.

  13. Cutaneous Silicone Granuloma Mimicking Breast Cancer after Ruptured Breast Implant

    Directory of Open Access Journals (Sweden)

    Waseem Asim Ghulam El-Charnoubi

    2011-01-01

    Full Text Available Cutaneous manifestations due to migration of silicone from ruptured implants are rare. Migrated silicone with cutaneous involvement has been found in the chest wall, abdominal wall, and lower extremities. We describe a case of cutaneous silicone granuloma in the breast exhibiting unusual growth mimicking breast cancer after a ruptured implant.

  14. Metastasis of Colon Cancer to the Breast

    Directory of Open Access Journals (Sweden)

    Swei H. Tsung

    2017-01-01

    Full Text Available Breast metastases from extramammary neoplasms are extremely rare, and even more so is metastasis of colon cancer to the breast. Despite its rarity, metastatic disease to the breast is an important diagnostic issue because its treatment differs greatly from that of primary cancer. Proper diagnosis of this rare event requires an accurate clinical history, proper immunohistochemical workup, and a high level of suspicion.

  15. Industrialization, electromagnetic fields, and breast cancer risk.

    OpenAIRE

    Kheifets, L I; Matkin, C C

    1999-01-01

    The disparity between the rates of breast cancer in industrialized and less-industrialized regions has led to many hypotheses, including the theory that exposure to light-at-night and/or electromagnetic fields (EMF) may suppress melatonin and that reduced melatonin may increase the risk of breast cancer. In this comprehensive review we consider strengths and weaknesses of more than 35 residential and occupational epidemiologic studies that investigated the association between EMF and breast c...

  16. Tryptophan-induced pathogenesis of breast cancer

    African Journals Online (AJOL)

    DOI: http://dx.doi.org/10.4314/ahs.v15i3.36. Cite as: Cao Z-G, Qin X-B, Liu F-F, Zhou L-L. Tryptophan-induced pathogenesis of breast cancer. Afri Health Sci. 2015;15(3):982-5. doi: http://dx.doi.org/10.4314/ahs.v15i3.36. Introduction. Breast cancer, developing from breast tissue, remains the top reason for death of women.

  17. Association between breast cancer, breast density, and body adiposity evaluated by MRI.

    Science.gov (United States)

    Zhu, Wenlian; Huang, Peng; Macura, Katarzyna J; Artemov, Dmitri

    2016-07-01

    Despite the lack of reliable methods with which to measure breast density from 2D mammograms, numerous studies have demonstrated a positive association between breast cancer and breast density. The goal of this study was to study the association between breast cancer and body adiposity, as well as breast density quantitatively assessed from 3D MRI breast images. Breast density was calculated from 3D T1-weighted MRI images. The thickness of the upper abdominal adipose layer was used as a surrogate marker for body adiposity. We evaluated the correlation between breast density, age, body adiposity, and breast cancer. Breast density was calculated for 410 patients with unilateral invasive breast cancer, 73 patients with ductal carcinoma in situ (DCIS), and 361 controls without breast cancer. Breast density was inversely related to age and the thickness of the upper abdominal adipose layer. Breast cancer was only positively associated with body adiposity and age. Age and body adiposity are predictive of breast density. Breast cancer was not associated with breast density; however, it was associated with the thickness of the upper abdominal adipose layer, a surrogate marker for body adiposity. Our results based on a limited number of patients warrant further investigations. • MRI breast density is negatively associated with body adiposity. • MRI breast density is negatively associated with age. • Breast cancer is positively associated with body adiposity. • Breast Cancer is not associated with MRI breast density.

  18. Early breast cancer in the older woman

    Science.gov (United States)

    VanderWalde, Ari; Hurria, Arti

    2013-01-01

    SYNOPSIS Breast cancer is a disease associated with aging; there is a rise in both breast cancer incidence and mortality with increasing age. With the aging of the US population, the number of older adults diagnosed with breast cancer and the number of breast cancer survivors is on the rise. The majority of cases of breast cancer are diagnosed with early stage (non-metastatic) potentially curable disease. This article will review the treatment of early stage breast cancer in older adults including a focus on the risks and benefits of surgery, radiation therapy, endocrine therapy, chemotherapy, and trastuzumab. Although the majority of studies to date demonstrate that older adults experience similar benefits from most multimodality treatments for breast cancer as compared to younger adults, these studies have primarily been performed in healthy and fit older adults. There are limited data at the extremes of age or in those patients with significant comorbidity or functional decline. A primary question facing the doctor and patient is whether the breast cancer is likely to impact the patient’s life expectancy or quality of life. If so, then the risks and benefits of treatment must be considered with a final decision regarding therapy made in the context of the patient’s preferences. This article will review the toxicities (both short- and long-term) from common cancer therapies in early breast cancer. Finally, the decision as to type of secondary screening and prevention of future breast cancers must also be weighed against the life expectancy of the older adult. PMID:22326036

  19. The Changing World of Breast Cancer

    Science.gov (United States)

    Kuhl, Christiane K.

    2015-01-01

    Abstract Compared with other fields of medicine, there is hardly an area that has seen such fast development as the world of breast cancer. Indeed, the way we treat breast cancer has changed fundamentally over the past decades. Breast imaging has always been an integral part of this change, and it undergoes constant adjustment to new ways of thinking. This relates not only to the technical tools we use for diagnosing breast cancer but also to the way diagnostic information is used to guide treatment. There is a constant change of concepts for and attitudes toward breast cancer, and a constant flux of new ideas, new treatment approaches, and new insights into the molecular and biological behavior of this disease. Clinical breast radiologists and even more so, clinician scientists, interested in breast imaging need to keep abreast with this rapidly changing world. Diagnostic or treatment approaches that are considered useful today may be abandoned tomorrow. Approaches that seem irrelevant or far too extravagant today may prove clinically useful and adequate next year. Radiologists must constantly question what they do, and align their clinical aims and research objectives with the changing needs of contemporary breast oncology. Moreover, knowledge about the past helps better understand present debates and controversies. Accordingly, in this article, we provide an overview on the evolution of breast imaging and breast cancer treatment, describe current areas of research, and offer an outlook regarding the years to come. PMID:26083829

  20. Inflammatory Breast Cancer: High Risk of Contralateral Breast Cancer Compared to Comparably Staged Non-Inflammatory Breast Cancer

    Science.gov (United States)

    Schairer, Catherine; Brown, Linda M.; Mai, Phuong L.

    2011-01-01

    Purpose Inflammatory breast cancer (IBC), the most lethal form of breast cancer, has characteristics linked to higher risk of contralateral breast cancer. However, no large studies have examined risk of contralateral breast cancer following IBC. Methods We calculated absolute risk of invasive contralateral breast cancer among 5,631 IBC and 174,634 comparably staged non-IBC first breast cancer cases who survived at least 2 months following diagnosis and were reported to 13 Surveillance, Epidemiology, and End Results (SEER) registries between January 1, 1973 and December 31, 2006. We considered that contralateral cancers occurring within 2–23 months of first cancer diagnosis may more likely be metastatic/recurrent disease and those occurring 2 or more years after diagnosis independent primaries. Results Absolute risk of contralateral breast cancer was generally greater following IBC than regional/distant non-IBC, regardless of age and hormone receptor status of first cancer diagnosis. Much of the increase in absolute risk following IBC occurred within 2–23 months of first cancer diagnosis, while the risk for non-IBC occurred more gradually over time since diagnosis. For instance, among women first diagnosed before age 50, absolute risks following IBC and non-IBC were 4.9% vs. 1.1% at 2 years, 6.0% vs. 2.2% at 5 years, and 7.7% vs. 6.1% at 20 years after diagnosis. However, patterns of higher risk following IBC than non-IBC were also evident for at least 10–15 years in the subcohort of women who survived at least 24 months without a contralateral cancer. Conclusion Our results suggest that IBC has higher risk of cancer in the contralateral breast than comparably staged non-IBC, possibly due to both metastasic/recurrent disease and independent primaries. PMID:21390499

  1. Breast Cancer Diagnosed During Pregnancy: Adapting Recent Advances in Breast Cancer Care for Pregnant Patients

    NARCIS (Netherlands)

    Loibl, S.; Schmidt, A.; Gentilini, O.; Kaufman, B.; Kuhl, C.; Denkert, C.; Minckwitz, G. von; Parokonnaya, A.; Stensheim, H.; Thomssen, C.; Calsteren, K. van; Poortmans, P.; Berveiller, P.; Markert, U.R.; Amant, F.

    2015-01-01

    Breast cancer during pregnancy (BCP), although rare, is becoming more common and treatment should be as similar as possible to that for nonpregnant young patients with breast cancer. A group of specialists convened to review current guidelines and provide guidance on how recent advances in breast

  2. Effects of Breast Cancer Fatalism on Breast Cancer Awareness among Nursing Students in Turkey.

    Science.gov (United States)

    Kulakci, Hulya; Ayyildiz, Tulay Kuzlu; Yildirim, Nuriye; Ozturk, Ozlem; Topan, Aysel Kose; Tasdemir, Nurten

    2015-01-01

    Breast cancer is the most common cancer among women and leading cause of death worldwide, including in Turkey. High perceptions of cancer fatalism are associated with lower rates of participation in screening for breast cancer. This study was conducted to evaluate the effect of breast cancer fatalism and other factors on breast cancer awareness among nursing students in Turkey. This cross-sectional descriptive study was conducted at three universities in the Western Black Sea region. The sample was composed of 838 nursing students. Data were collected by Personal Information Form, Powe Fatalism Inventory (PFI) and Champion's Health Belief Model Scale (CHBMS). Breast cancer fatalism perception of the students was at a low level. It was determined that students' seriousness perception was moderate, health motivation, BSE benefits and BSE self-efficacy perceptions were high, and BSE barriers and sensitivity perceptions were low. In addition, it was determined that students awareness of breast cancer was affected by breast cancer fatalism, class level, family history of breast cancer, knowledge on BSE, source of information on BSE, frequency of BSE performing, having breast examination by a healthcare professional within the last year and their health beliefs. In promoting breast cancer early diagnosis behaviour, it is recommended to evaluate fatalism perceptions and health beliefs of the students and to arrange training programs for this purpose.

  3. Exercise regulates breast cancer cell viability

    DEFF Research Database (Denmark)

    Dethlefsen, Christine; Lillelund, Christian; Midtgaard, Julie

    2016-01-01

    Purpose: Exercise decreases breast cancer risk and disease recurrence, but the underlying mechanisms are unknown. Training adaptations in systemic factors have been suggested as mediating causes. We aimed to examine if systemic adaptations to training over time, or acute exercise responses......, in breast cancer survivors could regulate breast cancer cell viability in vitro. Methods: Blood samples were collected from breast cancer survivors, partaking in either a 6-month training intervention or across a 2 h acute exercise session. Changes in training parameters and systemic factors were evaluated...... and pre/post exercise-conditioned sera from both studies were used to stimulate breast cancer cell lines (MCF-7, MDA-MB-231) in vitro. Results: Six months of training increased VO2peak (16.4 %, p

  4. 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...

  5. Breast cancer literacy among higher secondary students

    DEFF Research Database (Denmark)

    Bhandari, Parash Mani; Thapa, Kiran; Dhakal, Sarmila

    2016-01-01

    Background: Being the most common cancer among women worldwide, it is vital to be well-aware of breast cancer risk factors, symptoms and curability. However, few studies have reported breast cancer literacy in students using a validated instrument. Methods: A cross-sectional study was conducted...... among students of grades 11 and 12 from eleven higher secondary schools, one selected randomly from each ilaka of Parbat district. Questionnaire with modified Comprehensive Breast Cancer Knowledge Test was self-administered to 516 students. Knowledge score was categorized into two categories: 'good...... of the items on risk factors and curability. Physical exercise was identified as a protective factor of breast cancer by 62.4 % of the students. Presence of noncancerous breast lumps (56.6 %) and being overweight (36.4 %) were recognized as the risk factors. Knowledge of lumpectomy and radiation therapy...

  6. Study of the association between blood types and breast cancer among Isfahanian women with breast cancer

    OpenAIRE

    Amir Hossein Mirlohi Flavarjani; Behnood Hedayatpour; Nasrollah Bashardoost; Sayed Mohammad Nourian

    2014-01-01

    Background: Previous studies suggest a possible association between ABO blood group and the risk of breast cancer. The aim of this study is to investigate the presence of a possible association between breast cancer and blood groups ABO and Rh. Materials and Methods: 549 women including 173 cases and 376 controls were selected. The case group included patients with breast cancer and the cancer diagnosis was confirmed for all of them. The control group included women with no reports of bre...

  7. Questionnaires in Identifying Upper Extremity Function and Quality of Life After Treatment in Patients With Breast Cancer

    Science.gov (United States)

    2017-04-11

    Musculoskeletal Complication; Recurrent Breast Carcinoma; 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; Stage IV Breast Cancer; Therapy-Related Toxicity

  8. Role of KCNMA1 in breast cancer.

    Directory of Open Access Journals (Sweden)

    Martin Oeggerli

    Full Text Available KCNMA1 encodes the α-subunit of the large conductance, voltage and Ca(2+-activated (BK potassium channel and has been reported as a target gene of genomic amplification at 10q22 in prostate cancer. To investigate the prevalence of the amplification in other human cancers, the copy number of KCNMA1 was analyzed by fluorescence-in-situ-hybridization (FISH in 2,445 tumors across 118 different tumor types. Amplification of KCNMA1 was restricted to a small but distinct fraction of breast, ovarian and endometrial cancer with the highest prevalence in invasive ductal breast cancers and serous carcinoma of ovary and endometrium (3-7%. We performed an extensive analysis on breast cancer tissue microarrays (TMA of 1,200 tumors linked to prognosis. KCNMA1 amplification was significantly associated with high tumor stage, high grade, high tumor cell proliferation, and poor prognosis. Immunofluorescence revealed moderate or strong KCNMA1 protein expression in 8 out of 9 human breast cancers and in the breast cancer cell line MFM223. KCNMA1-function in breast cancer cell lines was confirmed by whole-cell patch clamp recordings and proliferation assays, using siRNA-knockdown, BK channel activators such as 17ß-estradiol and the BK-channel blocker paxilline. Our findings revealed that enhanced expression of KCNMA1 correlates with and contributes to high proliferation rate and malignancy of breast cancer.

  9. The genetics of breast and ovarian cancer.

    Science.gov (United States)

    Ford, D; Easton, D F

    1995-10-01

    A number of genes are known to be involved in inherited susceptibility to breast and/or ovarian cancer. In the context of high-risk families the most important genes are BRCA1 on chromosome 17q, which is associated with a high penetrance of both breast and ovarian cancer, and BRCA2 on chromosome 13q, which causes a high risk of breast cancer but a lower risk of ovarian cancer. Other high-risk cancer genes that confer increased risks of breast or ovarian cancer in addition to other cancers include the hereditary non-polyposis colorectal cancer genes and the TP53 gene, which causes breast cancer as part of the Li-Fraumeni syndrome. The predisposing mutations in these genes are relatively rare in the population. More common genes which are associated with an increased, but lower, risk of breast cancer are the ataxiatelangiectasia gene and the HRAS1 gene. This paper reviews recent progress in mapping and cloning of these susceptibility genes, and provides estimates of the cancer risks associated with each gene and the frequency of predisposing mutations.

  10. Identification of frequent somatic mutations in inflammatory breast cancer.

    Science.gov (United States)

    Matsuda, Naoko; Lim, Bora; Wang, Ying; Krishnamurthy, Savitri; Woodward, Wendy; Alvarez, Ricardo H; Lucci, Anthony; Valero, Vicente; Reuben, James M; Meric-Bernstam, Funda; Ueno, Naoto T

    2017-06-01

    Inflammatory breast cancer is an aggressive form of breast cancer that shows distinct clinical features from non-inflammatory breast cancer. Genomic understanding of inflammatory breast cancer will shed light on biological targets for this disease. Our objective was to identify targeted hotspot mutations using multiplex genome sequencing in inflammatory breast cancer and compare the findings with those for patients with non-inflammatory breast cancer to further recognize novel targets. We studied 400 patients with metastatic breast cancer who had somatic hotspot mutation testing using a 46- or 50-gene multiplex platform from March 2012 to December 2014. Among this population, 24 patients had inflammatory breast cancer and 376 patients had non-inflammatory breast cancer. We tested a total of 26 samples from 24 patients with inflammatory breast cancer. The average number of mutations per patient was higher in inflammatory breast cancer than in non-inflammatory breast cancer (1.23 vs. 0.65, respectively). Identified somatic mutations in inflammatory breast cancer were TP53 (n = 18, 75%), PIK3CA (n = 10, 41.7%), and ERBB2 (n = 4, 16.7%). TP53 and ERBB2 mutations were significantly more prevalent in inflammatory breast cancer than in non-inflammatory breast cancer (P breast cancer patients. While the inflammatory breast cancer TP53 and PIK3CA mutations mirrored previously reported data for metastatic non-inflammatory breast cancer, this is the first report of higher frequency of ERBB2 mutation in inflammatory breast cancer, especially in the HR+ subtype. Once validated in a larger cohort of inflammatory breast cancer patients, this novel finding could lead to development of treatments for HR+ inflammatory breast cancer.

  11. Immediate breast reconstruction with expander in pregnant breast cancer patients.

    Science.gov (United States)

    Lohsiriwat, Visnu; Peccatori, Fedro Alessandro; Martella, Stefano; Azim, Hatem A; Sarno, Maria Anna; Galimberti, Viviana; De Lorenzi, Francesca; Intra, Mattia; Sangalli, Claudia; Rotmensz, Nicole; Pruneri, Giancarlo; Renne, Giuseppe; Schorr, Mario Casales; Nevola Teixeira, Luiz Felipe; Rietjens, Mario; Giroda, Massimo; Gentilini, Oreste

    2013-10-01

    Breast reconstruction after mastectomy is currently considered an essential component in managing breast cancer patients, particularly those diagnosed at a young age. However, no studies have been published on the feasibility of immediate breast reconstruction in patients diagnosed and operated during the course of gestation. We retrospectively identified all breast cancer patients who were subjected to mastectomy and immediate breast reconstruction during pregnancy at the European Institute of Oncology between 2002 and 2012. Patient demographics, gestational age at surgery, tumor stage, adjuvant treatment, details of the surgical procedures, surgical outcomes and fetal outcomes were analyzed. A total of 78 patients with breast cancer diagnosed during pregnancy were subjected to a surgical procedure during the course of gestation. Twenty-two patients had mastectomy; of whom 13 were subjected to immediate breast reconstruction. Twelve out of 13 patients had a two-stage procedure with tissue expander insertion. Median gestational age at surgery was 16 weeks. No major surgical complications were encountered. Only one patient elected to have an abortion, otherwise, no spontaneous abortions or pregnancy complications were reported. Median gestational age at delivery was 35 weeks (range: 32-40 weeks). No major congenital malformations were reported. At a median follow-up of 32 months, all patients are alive with no long-term surgical complications. This is the first study of immediate breast reconstruction in pregnant breast cancer patients. Tissue expander insertion appears to ensure a short operative time, and does not seem to be associated with considerable morbidity to the patient or the fetus. Hence, it could be considered in the multidisciplinary management of women diagnosed with breast cancer during pregnancy. Copyright © 2013 Elsevier Ltd. All rights reserved.

  12. DDT Exposure in Utero and Breast Cancer.

    Science.gov (United States)

    Cohn, Barbara A; La Merrill, Michele; Krigbaum, Nickilou Y; Yeh, Gregory; Park, June-Soo; Zimmermann, Lauren; Cirillo, Piera M

    2015-08-01

    Currently no direct evidence links in utero dichlorodiphenyltrichloroethane (DDT) exposure to human breast cancer. However, in utero exposure to another xenoestrogen, diethylstilbestrol, predicts an increased breast cancer risk. If this finding extends to DDT, it could have far-reaching consequences. Many women were heavily exposed in utero during widespread DDT use in the 1960s. They are now reaching the age of heightened breast cancer risk. DDT exposure persists and use continues in Africa and Asia without clear knowledge of the consequences for the next generation. In utero exposure to DDT is associated with an increased risk of breast cancer. This was a case-control study nested in a prospective 54-year follow-up of 9300 daughters in the Child Health and Development Studies pregnancy cohort (n = 118 breast cancer cases, diagnosed by age 52 y and 354 controls matched on birth year). Kaiser Foundation Health Plan members who received obstetric care in Alameda County, California, from 1959 to 1967, and their adult daughters participated in the study. Daughters' breast cancer diagnosed by age 52 years as of 2012 was measured. Maternal o,p'-DDT predicted daughters' breast cancer (odds ratio fourth quartile vs first = 3.7, 95% confidence interval 1.5-9.0). Mothers' lipids, weight, race, age, and breast cancer history did not explain the findings. This prospective human study links measured DDT exposure in utero to risk of breast cancer. Experimental studies are essential to confirm results and discover causal mechanisms. Findings support classification of DDT as an endocrine disruptor, a predictor of breast cancer, and a marker of high risk.

  13. Tryptophan-induced pathogenesis of breast cancer | Cao | African ...

    African Journals Online (AJOL)

    Background: The pathogenesis of breast cancer remains unclear. Aims: To investigate the pathogenesis of breast cancer through targeted metabolomics of amino acids components in serum of patients with breast cancer. Methods: Patients with breast cancers were enrolled in our hospital between year January 1st, 2013 ...

  14. Young breast cancer patients in the developing world: incidence ...

    African Journals Online (AJOL)

    Carcinoma of the breast is the most common cause of cancer in women in Western society. Although breast cancer occurs predominantly in older premenopausal and postmenopausal women, it also occurs in young women. Literature defines breast cancer in a young woman (or early onset breast cancer) as occurring in a ...

  15. Use of proteomics for the early diagnosis fo breast cancer

    NARCIS (Netherlands)

    van Winden, A.W.J.

    2010-01-01

    Breast cancer mortality rates in The Netherlands are among the highest in Europe. To improve breast cancer survival, early detection is of vital importance. The introduction of the national breast cancer screening program has led to an improvement in stage distribution at diagnosis of breast cancer.

  16. Luminal breast cancer metastasis is dependent on estrogen signaling

    NARCIS (Netherlands)

    Ganapathy, Vidya; Banach-Petrosky, Whitney; Xie, Wen; Kareddula, Aparna; Nienhuis, Hilde; Miles, Gregory; Reiss, Michael

    Luminal breast cancer is the most frequently encountered type of human breast cancer and accounts for half of all breast cancer deaths due to metastatic disease. We have developed new in vivo models of disseminated human luminal breast cancer that closely mimic the human disease. From initial

  17. Pushing estrogen receptor around in breast cancer.

    Science.gov (United States)

    Lim, Elgene; Tarulli, Gerard; Portman, Neil; Hickey, Theresa E; Tilley, Wayne D; Palmieri, Carlo

    2016-12-01

    The estrogen receptor-α (herein called ER) is a nuclear sex steroid receptor (SSR) that is expressed in approximately 75% of breast cancers. Therapies that modulate ER action have substantially improved the survival of patients with ER-positive breast cancer, but resistance to treatment still remains a major clinical problem. Treating resistant breast cancer requires co-targeting of ER and alternate signalling pathways that contribute to resistance to improve the efficacy and benefit of currently available treatments. Emerging data have shown that other SSRs may regulate the sites at which ER binds to DNA in ways that can powerfully suppress the oncogenic activity of ER in breast cancer. This includes the progesterone receptor (PR) that was recently shown to reprogram the ER DNA binding landscape towards genes associated with a favourable outcome. Another attractive candidate is the androgen receptor (AR), which is expressed in the majority of breast cancers and inhibits growth of the normal breast and ER-positive tumours when activated by ligand. These findings have led to the initiation of breast cancer clinical trials evaluating therapies that selectively harness the ability of SSRs to 'push' ER towards anti-tumorigenic activity. Our review will focus on the established and emerging clinical evidence for activating PR or AR in ER-positive breast cancer to inhibit the tumour growth-promoting functions of ER. © 2016 Society for Endocrinology.

  18. Recurrent read-through fusion transcripts in breast cancer

    OpenAIRE

    Varley, Katherine E.; Gertz, Jason; Roberts, Brian S.; Davis, Nicholas S.; Bowling, Kevin M.; Kirby, Marie K.; Nesmith, Amy S.; Oliver, Patsy G.; Grizzle, William E.; Forero, Andres; Buchsbaum, Donald J.; LoBuglio, Albert F.; Myers, Richard M.

    2014-01-01

    Read-through fusion transcripts that result from the splicing of two adjacent genes in the same coding orientation are a recently discovered type of chimeric RNA. We sought to determine if read-through fusion transcripts exist in breast cancer. We performed paired-end RNA-seq of 168 breast samples, including 28 breast cancer cell lines, 42 triple negative breast cancer primary tumors, 42 estrogen receptor positive (ER+) breast cancer primary tumors, and 56 non-malignant breast tissue samples....

  19. Obesity, insulin resistance and breast cancer outcomes.

    Science.gov (United States)

    Goodwin, Pamela J

    2015-11-01

    There is growing evidence that obesity is associated with poor outcomes in early stage breast cancer. This paper addresses four current areas of focus: 1. Is obesity associated with poor outcomes in all biologic subtypes of breast cancer? 2. Does obesity effect AI efficacy or estrogen suppression in the adjuvant setting? 3. What are the potential biologic underpinnings of the obesity-breast cancer association? 4. Are intervention studies warranted? If so, which interventions in which populations? Research is needed to resolve these questions; intervention trials involving lifestyle interventions or targeting the biology postulated to link obesity and cancer are recommended. Copyright © 2015. Published by Elsevier Ltd.

  20. HER2 breast cancer therapies: a review

    OpenAIRE

    Conleth G Murphy; Shanu Modi

    2009-01-01

    Conleth G Murphy, Shanu ModiBreast Cancer Medicine Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USAAbstract: Amplification of the HER2 gene and/or overexpression of its protein product have been found in up to 25% to 30% of human breast cancers and have been shown to be associated with poorer outcomes compared to ‘HER2 normal’ breast cancer. Research has focused on developing therapies directed to the HER2 receptor and its pathway....