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Sample records for breast cancer classification

  1. 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.

  2. Plastic surgery for breast cancer: еssentials, classification, performance algorithm

    Directory of Open Access Journals (Sweden)

    A. Kh. Ismagilov

    2014-01-01

    Full Text Available The choice of plastic surgical techniques for cancer is influenced by two factors: resection volume/baseline breast volume ratio and tumor site.Based on these factors, the authors propose a two-level classification and an algorithm for performing the most optimal plastic operation onthe breast for its cancer.

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

    Science.gov (United States)

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

    2016-02-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2016-02-15

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

  5. 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.

  6. 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%.

  7. A Dataset for Breast Cancer Histopathological Image Classification.

    Science.gov (United States)

    Spanhol, Fabio A; Oliveira, Luiz S; Petitjean, Caroline; Heutte, Laurent

    2016-07-01

    Today, medical image analysis papers require solid experiments to prove the usefulness of proposed methods. However, experiments are often performed on data selected by the researchers, which may come from different institutions, scanners, and populations. Different evaluation measures may be used, making it difficult to compare the methods. In this paper, we introduce a dataset of 7909 breast cancer histopathology images acquired on 82 patients, which is now publicly available from http://web.inf.ufpr.br/vri/breast-cancer-database. The dataset includes both benign and malignant images. The task associated with this dataset is the automated classification of these images in two classes, which would be a valuable computer-aided diagnosis tool for the clinician. In order to assess the difficulty of this task, we show some preliminary results obtained with state-of-the-art image classification systems. The accuracy ranges from 80% to 85%, showing room for improvement is left. By providing this dataset and a standardized evaluation protocol to the scientific community, we hope to gather researchers in both the medical and the machine learning field to advance toward this clinical application.

  8. A Selective Ensemble Classification Method Combining Mammography Images with Ultrasound Images for Breast Cancer Diagnosis

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    Jinyu Cong

    2017-01-01

    Full Text Available Breast cancer has been one of the main diseases that threatens women’s life. Early detection and diagnosis of breast cancer play an important role in reducing mortality of breast cancer. In this paper, we propose a selective ensemble method integrated with the KNN, SVM, and Naive Bayes to diagnose the breast cancer combining ultrasound images with mammography images. Our experimental results have shown that the selective classification method with an accuracy of 88.73% and sensitivity of 97.06% is efficient for breast cancer diagnosis. And indicator R presents a new way to choose the base classifier for ensemble learning.

  9. 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...

  10. Ki-67 marker useful for classification of malignant invasive ductal breast cancer

    Directory of Open Access Journals (Sweden)

    Irmawati Hassan

    2015-12-01

    The study showed that invasive ductal breast cancer with high Ki-67 index was significantly associated with high grade of malignacy. The high Ki-67 marker index can be used for classification of the grade of malignancy of invasive ductal breast cancer.

  11. Involvement of Machine Learning for Breast Cancer Image Classification: A Survey

    Directory of Open Access Journals (Sweden)

    Abdullah-Al Nahid

    2017-01-01

    Full Text Available Breast cancer is one of the largest causes of women’s death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The involvement of digital image classification allows the doctor and the physicians a second opinion, and it saves the doctors’ and physicians’ time. Despite the various publications on breast image classification, very few review papers are available which provide a detailed description of breast cancer image classification techniques, feature extraction and selection procedures, classification measuring parameterizations, and image classification findings. We have put a special emphasis on the Convolutional Neural Network (CNN method for breast image classification. Along with the CNN method we have also described the involvement of the conventional Neural Network (NN, Logic Based classifiers such as the Random Forest (RF algorithm, Support Vector Machines (SVM, Bayesian methods, and a few of the semisupervised and unsupervised methods which have been used for breast image classification.

  12. Fully automatic classification of breast cancer microarray images

    Directory of Open Access Journals (Sweden)

    Nastaran Dehghan Khalilabad

    2016-09-01

    Full Text Available A microarray image is used as an accurate method for diagnosis of cancerous diseases. The aim of this research is to provide an approach for detection of breast cancer type. First, raw data is extracted from microarray images. Determining the exact location of each gene is carried out using image processing techniques. Then, by the sum of the pixels associated with each gene, the amount of “genes expression” is extracted as raw data. To identify more effective genes, information gain method on the set of raw data is used. Finally, the type of cancer can be recognized via analyzing the obtained data using a decision tree. The proposed approach has an accuracy of 95.23% in diagnosing the breast cancer types.

  13. Breast cancer tumor classification using LASSO method selection approach

    Energy Technology Data Exchange (ETDEWEB)

    Celaya P, J. M.; Ortiz M, J. A.; Martinez B, M. R.; Solis S, L. O.; Castaneda M, R.; Garza V, I.; Martinez F, M.; Ortiz R, J. M., E-mail: morvymm@yahoo.com.mx [Universidad Autonoma de Zacatecas, Av. Ramon Lopez Velarde 801, Col. Centro, 98000 Zacatecas, Zac. (Mexico)

    2016-10-15

    Breast cancer is one of the leading causes of deaths worldwide among women. Early tumor detection is key in reducing breast cancer deaths and screening mammography is the widest available method for early detection. Mammography is the most common and effective breast cancer screening test. However, the rate of positive findings is very low, making the radiologic interpretation monotonous and biased toward errors. In an attempt to alleviate radiological workload, this work presents a computer-aided diagnosis (CAD x) method aimed to automatically classify tumor lesions into malign or benign as a means to a second opinion. The CAD x methos, extracts image features, and classifies the screening mammogram abnormality into one of two categories: subject at risk of having malignant tumor (malign), and healthy subject (benign). In this study, 143 abnormal segmentation s (57 malign and 86 benign) from the Breast Cancer Digital Repository (BCD R) public database were used to train and evaluate the CAD x system. Percentile-rank (p-rank) was used to standardize the data. Using the LASSO feature selection methodology, the model achieved a Leave-one-out-cross-validation area under the receiver operating characteristic curve (Auc) of 0.950. The proposed method has the potential to rank abnormal lesions with high probability of malignant findings aiding in the detection of potential malign cases as a second opinion to the radiologist. (Author)

  14. Molecular classification of breast cancer: what the pathologist needs to know.

    Science.gov (United States)

    Rakha, Emad A; Green, Andrew R

    2017-02-01

    Breast cancer is a heterogeneous disease featuring distinct histological, molecular and clinical phenotypes. Although traditional classification systems utilising clinicopathological and few molecular markers are well established and validated, they remain insufficient to reflect the diverse biological and clinical heterogeneity of breast cancer. Advancements in high-throughput molecular techniques and bioinformatics have contributed to the improved understanding of breast cancer biology, refinement of molecular taxonomies and the development of novel prognostic and predictive molecular assays. Application of such technologies is already underway, and is expected to change the way we manage breast cancer. Despite the enormous amount of work that has been carried out to develop and refine breast cancer molecular prognostic and predictive assays, molecular testing is still in evolution. Pathologists should be aware of the new technology and be ready for the challenge. In this review, we provide an update on the application of molecular techniques with regard to breast cancer diagnosis, prognosis and outcome prediction. The current contribution of emerging technology to our understanding of breast cancer is also highlighted. Copyright © 2016 Royal College of Pathologists of Australasia. Published by Elsevier B.V. All rights reserved.

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

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    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.

  16. Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT (Conference Presentation)

    Science.gov (United States)

    Yao, Xinwen; Gan, Yu; Chang, Ernest W.; Hibshoosh, Hanina; Feldman, Sheldon; Hendon, Christine P.

    2017-02-01

    We employed a home-built ultrahigh resolution (UHR) OCT system at 800nm to image human breast cancer sample ex vivo. The system has an axial resolution of 2.72µm and a lateral resolution of 5.52µm with an extended imaging range of 1.78mm. Over 900 UHR OCT volumes were generated on specimens from 23 breast cancer cases. With better spatial resolution, detailed structures in the breast tissue were better defined. Different types of breast cancer as well as healthy breast tissue can be well delineated from the UHR OCT images. To quantitatively evaluate the advantages of UHR OCT imaging of breast cancer, features derived from OCT intensity images were used as inputs to a machine learning model, the relevance vector machine. A trained machine learning model was employed to evaluate the performance of tissue classification based on UHR OCT images for differentiating tissue types in the breast samples, including adipose tissue, healthy stroma and cancerous region. For adipose tissue, grid-based local features were extracted from OCT intensity data, including standard deviation, entropy, and homogeneity. We showed that it was possible to enhance the classification performance on distinguishing fat tissue from non-fat tissue by using the UHR images when compared with the results based on OCT images from a commercial 1300 nm OCT system. For invasive ductal carcinoma (IDC) and normal stroma differentiation, the classification was based on frame-based features that portray signal penetration depth and tissue reflectivity. The confusing matrix indicated a sensitivity of 97.5% and a sensitivity of 77.8%.

  17. Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings

    Energy Technology Data Exchange (ETDEWEB)

    Andersson, Ingvar; Zackrisson, Sophia [Malmoe University Hospital, Diagnostic Centre of Imaging and Functional Medicine, Malmoe (Sweden); Ikeda, Debra M. [Stanford University, Stanford Advanced Medicine Center, Department of Radiology, Stanford, CA (United States); Ruschin, Mark [Lund University, Malmoe University Hospital, Department of Medical Radiation Physics, Malmoe (Sweden); University Health Network/Princess Margaret Hospital, Department of Radiation Physics, Toronto, ON (Canada); Svahn, Tony; Timberg, Pontus; Tingberg, Anders [Lund University, Malmoe University Hospital, Department of Medical Radiation Physics, Malmoe (Sweden)

    2008-12-15

    The main purpose was to compare breast cancer visibility in one-view breast tomosynthesis (BT) to cancer visibility in one- or two-view digital mammography (DM). Thirty-six patients were selected on the basis of subtle signs of breast cancer on DM. One-view BT was performed with the same compression angle as the DM image in which the finding was least/not visible. On BT, 25 projections images were acquired over an angular range of 50 degrees, with double the dose of one-view DM. Two expert breast imagers classified one- and two-view DM, and BT findings for cancer visibility and BIRADS cancer probability in a non-blinded consensus study. Forty breast cancers were found in 37 breasts. The cancers were rated more visible on BT compared to one-view and two-view DM in 22 and 11 cases, respectively, (p<0.01 for both comparisons). Comparing one-view DM to one-view BT, 21 patients were upgraded on BIRADS classification (p<0.01). Comparing two-view DM to one-view BT, 12 patients were upgraded on BIRADS classification (p<0.01). The results indicate that the cancer visibility on BT is superior to DM, which suggests that BT may have a higher sensitivity for breast cancer detection. (orig.)

  18. Comparative Study of Classification Techniques on Breast Cancer FNA Biopsy Data

    Directory of Open Access Journals (Sweden)

    George Rumbe

    2010-12-01

    Full Text Available Accurate diagnostic detection of the cancerous cells in a patient is critical and may alter the subsequent treatment and increase the chances of survival rate. Machine learning techniques have been instrumental in disease detection and are currently being used in various classification problems due to their accurate prediction performance. Various techniques may provide different desired accuracies and it is therefore imperative to use the most suitable method which provides the best desired results. This research seeks to provide comparative analysis of Support Vector Machine, Bayesian classifier and other Artificial neural network classifiers (Backpropagation, linear programming, Learning vector quantization, and K nearest neighborhood on the Wisconsin breast cancer classification problem.

  19. A New Feature Ensemble with a Multistage Classification Scheme for Breast Cancer Diagnosis

    Directory of Open Access Journals (Sweden)

    Idil Isikli Esener

    2017-01-01

    Full Text Available A new and effective feature ensemble with a multistage classification is proposed to be implemented in a computer-aided diagnosis (CAD system for breast cancer diagnosis. A publicly available mammogram image dataset collected during the Image Retrieval in Medical Applications (IRMA project is utilized to verify the suggested feature ensemble and multistage classification. In achieving the CAD system, feature extraction is performed on the mammogram region of interest (ROI images which are preprocessed by applying a histogram equalization followed by a nonlocal means filtering. The proposed feature ensemble is formed by concatenating the local configuration pattern-based, statistical, and frequency domain features. The classification process of these features is implemented in three cases: a one-stage study, a two-stage study, and a three-stage study. Eight well-known classifiers are used in all cases of this multistage classification scheme. Additionally, the results of the classifiers that provide the top three performances are combined via a majority voting technique to improve the recognition accuracy on both two- and three-stage studies. A maximum of 85.47%, 88.79%, and 93.52% classification accuracies are attained by the one-, two-, and three-stage studies, respectively. The proposed multistage classification scheme is more effective than the single-stage classification for breast cancer diagnosis.

  20. Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT.

    Science.gov (United States)

    Yao, Xinwen; Gan, Yu; Chang, Ernest; Hibshoosh, Hanina; Feldman, Sheldon; Hendon, Christine

    2017-03-01

    Breast cancer is one of the most common cancers, and recognized as the third leading cause of mortality in women. Optical coherence tomography (OCT) enables three dimensional visualization of biological tissue with micrometer level resolution at high speed, and can play an important role in early diagnosis and treatment guidance of breast cancer. In particular, ultra-high resolution (UHR) OCT provides images with better histological correlation. This paper compared UHR OCT performance with standard OCT in breast cancer imaging qualitatively and quantitatively. Automatic tissue classification algorithms were used to automatically detect invasive ductal carcinoma in ex vivo human breast tissue. Human breast tissues, including non-neoplastic/normal tissues from breast reduction and tumor samples from mastectomy specimens, were excised from patients at Columbia University Medical Center. The tissue specimens were imaged by two spectral domain OCT systems at different wavelengths: a home-built ultra-high resolution (UHR) OCT system at 800 nm (measured as 2.72 μm axial and 5.52 μm lateral) and a commercial OCT system at 1,300 nm with standard resolution (measured as 6.5 μm axial and 15 μm lateral), and their imaging performances were analyzed qualitatively. Using regional features derived from OCT images produced by the two systems, we developed an automated classification algorithm based on relevance vector machine (RVM) to differentiate hollow-structured adipose tissue against solid tissue. We further developed B-scan based features for RVM to classify invasive ductal carcinoma (IDC) against normal fibrous stroma tissue among OCT datasets produced by the two systems. For adipose classification, 32 UHR OCT B-scans from 9 normal specimens, and 28 standard OCT B-scans from 6 normal and 4 IDC specimens were employed. For IDC classification, 152 UHR OCT B-scans from 6 normal and 13 IDC specimens, and 104 standard OCT B-scans from 5 normal and 8 IDC specimens

  1. 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.

  2. Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability

    Directory of Open Access Journals (Sweden)

    van de Vijver Marc J

    2008-08-01

    Full Text Available Abstract Background Michiels et al. (Lancet 2005; 365: 488–92 employed a resampling strategy to show that the genes identified as predictors of prognosis from resamplings of a single gene expression dataset are highly variable. The genes most frequently identified in the separate resamplings were put forward as a 'gold standard'. On a higher level, breast cancer datasets collected by different institutions can be considered as resamplings from the underlying breast cancer population. The limited overlap between published prognostic signatures confirms the trend of signature instability identified by the resampling strategy. Six breast cancer datasets, totaling 947 samples, all measured on the Affymetrix platform, are currently available. This provides a unique opportunity to employ a substantial dataset to investigate the effects of pooling datasets on classifier accuracy, signature stability and enrichment of functional categories. Results We show that the resampling strategy produces a suboptimal ranking of genes, which can not be considered to be a 'gold standard'. When pooling breast cancer datasets, we observed a synergetic effect on the classification performance in 73% of the cases. We also observe a significant positive correlation between the number of datasets that is pooled, the validation performance, the number of genes selected, and the enrichment of specific functional categories. In addition, we have evaluated the support for five explanations that have been postulated for the limited overlap of signatures. Conclusion The limited overlap of current signature genes can be attributed to small sample size. Pooling datasets results in more accurate classification and a convergence of signature genes. We therefore advocate the analysis of new data within the context of a compendium, rather than analysis in isolation.

  3. State of the science: molecular classifications of breast cancer for clinical diagnostics.

    Science.gov (United States)

    Robison, John E; Perreard, Laurent; Bernard, Philip S

    2004-07-01

    Over the past few years, the study of genomics has embarked on developing gene expression-based classifications for tumors-an initiative that promises to revolutionize cancer medicine. High-throughput genomic platforms, such as microarray and SAGE, have found gene expression signatures that correlate to important clinical parameters used in current staging and are providing additional information that will improve standard of care. Although implementing a molecular taxonomy for prognosis and treatment would likely benefit cancer patients, there remain significant obstacles to using these assays within the current diagnostic framework. Since most genomic assays are being performed from fresh tissue, there is a need to either change the practice of formalin-fixing and paraffin-embedding tissue or adapting the assays for use on degraded RNA specimens. To date, even the most mature data sets, such as molecular classifications for breast cancer, still fall short of the number of patients needed to generalize the results to treating large populations. To implement these assays in large scale, there will need to be standardization of sample procurement, preparation, and analysis. Certainly, the greatest improvements in patient care will come through tailored therapies as genomics is coupled with clinical trials that randomize cohorts to different treatments. This manuscript reviews the current standards of care, presents progress that is being made in the development of genomic assays for breast cancer and discusses options for implementing these new tests into the clinical setting.

  4. [Classification and characteristics of interval cancers in the Principality of Asturias's Breast Cancer Screening Program].

    Science.gov (United States)

    Prieto García, M A; Delgado Sevillano, R; Baldó Sierra, C; González Díaz, E; López Secades, A; Llavona Amor, J A; Vidal Marín, B

    2013-09-01

    To review and classify the interval cancers found in the Principality of Asturias's Breast Cancer Screening Program (PDPCM). A secondary objective was to determine the histological characteristics, size, and stage of the interval cancers at the time of diagnosis. We included the interval cancers in the PDPCM in the period 2003-2007. Interval cancers were classified according to the breast cancer screening program protocol, with double reading without consensus, without blinding, with arbitration. Mammograms were interpreted by 10 radiologists in the PDPCM. A total of 33.7% of the interval cancers could not be classified; of the interval cancers that could be classified, 40.67% were labeled true interval cancers, 31.4% were labeled false negatives on screening, 23.7% had minimal signs, and 4.23% were considered occult. A total of 70% of the interval cancers were diagnosed in the year of the period between screening examinations and 71.7% were diagnosed after subsequent screening. A total of 76.9% were invasive ductal carcinomas, 61.1% were stage II when detected, and 78.7% were larger than 10mm when detected. The rate of interval cancers and the rate of false negatives in the PDPCM are higher than those recommended in the European guidelines. Interval cancers are diagnosed later than the tumors detected at screening. Studying interval cancers provides significant training for the radiologists in the PDPCM. Copyright © 2011 SERAM. Published by Elsevier Espana. All rights reserved.

  5. AN ADABOOST OPTIMIZED CCFIS BASED CLASSIFICATION MODEL FOR BREAST CANCER DETECTION

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    CHANDRASEKAR RAVI

    2017-06-01

    Full Text Available Classification is a Data Mining technique used for building a prototype of the data behaviour, using which an unseen data can be classified into one of the defined classes. Several researchers have proposed classification techniques but most of them did not emphasis much on the misclassified instances and storage space. In this paper, a classification model is proposed that takes into account the misclassified instances and storage space. The classification model is efficiently developed using a tree structure for reducing the storage complexity and uses single scan of the dataset. During the training phase, Class-based Closed Frequent ItemSets (CCFIS were mined from the training dataset in the form of a tree structure. The classification model has been developed using the CCFIS and a similarity measure based on Longest Common Subsequence (LCS. Further, the Particle Swarm Optimization algorithm is applied on the generated CCFIS, which assigns weights to the itemsets and their associated classes. Most of the classifiers are correctly classifying the common instances but they misclassify the rare instances. In view of that, AdaBoost algorithm has been used to boost the weights of the misclassified instances in the previous round so as to include them in the training phase to classify the rare instances. This improves the accuracy of the classification model. During the testing phase, the classification model is used to classify the instances of the test dataset. Breast Cancer dataset from UCI repository is used for experiment. Experimental analysis shows that the accuracy of the proposed classification model outperforms the PSOAdaBoost-Sequence classifier by 7% superior to other approaches like Naïve Bayes Classifier, Support Vector Machine Classifier, Instance Based Classifier, ID3 Classifier, J48 Classifier, etc.

  6. Femur fracture classification in women with a history of breast cancer

    OpenAIRE

    Chau, Stephanie; Chandra, Malini; Grimsrud, Christopher D.; Gonzalez, Joel R.; Hui, Rita L; Lo, Joan C.

    2014-01-01

    Purpose: Women with breast cancer are at increased risk for femur fracture. Contributing factors include estrogen deficiency, cancer-related therapies, or direct bone involvement. This study examines fracture subtypes in women with prior breast cancer experiencing a femur fracture. Methods: Women age ≥50 years old with a history of invasive breast cancer who experienced a femur fracture were identified during 2005–2012. Fracture site was classified by hospital diagnosis (for hip) and/or ra...

  7. Proteomic-Based Biosignatures in Breast Cancer Classification and Prediction of Therapeutic Response

    Science.gov (United States)

    He, Jianbo; Whelan, Stephen A.; Lu, Ming; Shen, Dejun; Chung, Debra U.; Saxton, Romaine E.; Faull, Kym F.; Whitelegge, Julian P.; Chang, Helena R.

    2011-01-01

    Protein-based markers that classify tumor subtypes and predict therapeutic response would be clinically useful in guiding patient treatment. We investigated the LC-MS/MS-identified protein biosignatures in 39 baseline breast cancer specimens including 28 HER2-positive and 11 triple-negative (TNBC) tumors. Twenty proteins were found to correctly classify all HER2 positive and 7 of the 11 TNBC tumors. Among them, galectin-3-binding protein and ALDH1A1 were found preferentially elevated in TNBC, whereas CK19, transferrin, transketolase, and thymosin β4 and β10 were elevated in HER2-positive cancers. In addition, several proteins such as enolase, vimentin, peroxiredoxin 5, Hsp 70, periostin precursor, RhoA, cathepsin D preproprotein, and annexin 1 were found to be associated with the tumor responses to treatment within each subtype. The MS-based proteomic findings appear promising in guiding tumor classification and predicting response. When sufficiently validated, some of these candidate protein markers could have great potential in improving breast cancer treatment. PMID:22110952

  8. 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. ...

  9. Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis

    Science.gov (United States)

    Pérez, Noel; Guevara, Miguel A.; Silva, Augusto

    2013-02-01

    This work addresses the issue of variable selection within the context of breast cancer classification with mammography. A comprehensive repository of feature vectors was used including a hybrid subset gathering image-based and clinical features. It aimed to gather experimental evidence of variable selection in terms of cardinality, type and find a classification scheme that provides the best performance over the Area Under Receiver Operating Characteristics Curve (AUC) scores using the ranked features subset. We evaluated and classified a total of 300 subsets of features formed by the application of Chi-Square Discretization, Information-Gain, One-Rule and RELIEF methods in association with Feed-Forward Backpropagation Neural Network (FFBP), Support Vector Machine (SVM) and Decision Tree J48 (DTJ48) Machine Learning Algorithms (MLA) for a comparative performance evaluation based on AUC scores. A variable selection analysis was performed for Single-View Ranking and Multi-View Ranking groups of features. Features subsets representing Microcalcifications (MCs), Masses and both MCs and Masses lesions achieved AUC scores of 0.91, 0.954 and 0.934 respectively. Experimental evidence demonstrated that classification performance was improved by combining image-based and clinical features. The most important clinical and image-based features were StromaDistortion and Circularity respectively. Other less important but worth to use due to its consistency were Contrast, Perimeter, Microcalcification, Correlation and Elongation.

  10. Femur fracture classification in women with a history of breast cancer

    Directory of Open Access Journals (Sweden)

    Stephanie Chau

    2014-05-01

    Conclusion: Most femur fractures in women with prior breast cancer occurred in the hip. Among younger women and those experiencing diaphyseal fractures, a larger proportion were pathologic and some were found to be atypical. Further studies should examine risk factors for femur fracture in women with breast cancer with specific attention to fracture subtype and pharmacologic exposures.

  11. Gene Expression Profiles for Predicting Metastasis in Breast Cancer: A Cross-Study Comparison of Classification Methods

    Directory of Open Access Journals (Sweden)

    Mark Burton

    2012-01-01

    Full Text Available Machine learning has increasingly been used with microarray gene expression data and for the development of classifiers using a variety of methods. However, method comparisons in cross-study datasets are very scarce. This study compares the performance of seven classification methods and the effect of voting for predicting metastasis outcome in breast cancer patients, in three situations: within the same dataset or across datasets on similar or dissimilar microarray platforms. Combining classification results from seven classifiers into one voting decision performed significantly better during internal validation as well as external validation in similar microarray platforms than the underlying classification methods. When validating between different microarray platforms, random forest, another voting-based method, proved to be the best performing method. We conclude that voting based classifiers provided an advantage with respect to classifying metastasis outcome in breast cancer patients.

  12. Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.

    Science.gov (United States)

    Pak, Fatemeh; Kanan, Hamidreza Rashidy; Alikhassi, Afsaneh

    2015-11-01

    Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast cancer. In this paper, a new algorithm is proposed for breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution (SR). The presented algorithm includes three main parts including pre-processing, feature extraction and classification. In the pre-processing stage, after determining the region of interest (ROI) by an automatic technique, the quality of image is improved using NSCT and SR algorithm. In the feature extraction part, several features of the image components are extracted and skewness of each feature is calculated. Finally, AdaBoost algorithm is used to classify and determine the probability of benign and malign disease. The obtained results on Mammographic Image Analysis Society (MIAS) database indicate the significant performance and superiority of the proposed method in comparison with the state of the art approaches. According to the obtained results, the proposed technique achieves 91.43% and 6.42% as a mean accuracy and FPR, respectively. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  13. 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 ...

  14. 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 ...

  15. 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.

  16. The mammographic correlations of a new immunohistochemical classification of invasive breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Taneja, S. [Nottingham Breast Institute, City Hospital, Hucknall Road, Nottingham NG5 1PB (United Kingdom)], E-mail: sheeba_taneja@yahoo.co.uk; Evans, A.J. [Nottingham Breast Institute, City Hospital, Hucknall Road, Nottingham NG5 1PB (United Kingdom); Rakha, E.A.; Green, A.R. [Division of Pathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham (United Kingdom); Ball, G. [Nottingham Trent University, School of Biomedical and Natural Sciences, Nottingham (United Kingdom); Ellis, I.O. [Division of Pathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham (United Kingdom)

    2008-11-15

    Aim: Recent protein expression profiling of breast cancer has identified specific subtypes with clinical, biological, and therapeutic implications. The aim of this study was to identify the mammographic correlates of these novel molecular classes of invasive breast cancer. Materials and methods: The mammographic findings of 415 patients with operable breast cancer were correlated with the previously described protein expression classes identified by our group using immunohistochemical (IHC) assessment of a large series of breast cancer cases prepared as tissue microarrays (TMAs). Twenty-five proteins of known relevance in breast cancer were assessed, including hormone receptors, HER-2 status, basal and luminal markers, p53 expression, and E-cadherin. Results: The mammographic background pattern and proportion of lesions that were mammographically occult were similar in all groups. Groups characterized by luminal and hormone receptor positivity had significantly more spiculate lesions at mammography. Groups characterized by HER-2 overexpression, basal characteristics, and E-cadherin positivity had a significantly higher proportion of ill-defined masses. These findings were independent of histological grade. Conclusion: The mammographic features of breast cancer show significant correlation with molecular classes of invasive breast cancer identified by protein expression IHC analysis. The biological reasons for the findings and implications of these regarding imaging protocols require further study and may provide mechanisms for improvement of detection of these lesions.

  17. 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 ...

  18. 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 ...

  19. 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 ...

  20. 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. ...

  1. Genetic Fuzzy System (GFS based wavelet co-occurrence feature selection in mammogram classification for breast cancer diagnosis

    Directory of Open Access Journals (Sweden)

    Meenakshi M. Pawar

    2016-09-01

    Full Text Available Breast cancer is significant health problem diagnosed mostly in women worldwide. Therefore, early detection of breast cancer is performed with the help of digital mammography, which can reduce mortality rate. This paper presents wrapper based feature selection approach for wavelet co-occurrence feature (WCF using Genetic Fuzzy System (GFS in mammogram classification problem. The performance of GFS algorithm is explained using mini-MIAS database. WCF features are obtained from detail wavelet coefficients at each level of decomposition of mammogram image. At first level of decomposition, 18 features are applied to GFS algorithm, which selects 5 features with an average classification success rate of 39.64%. Subsequently, at second level it selects 9 features from 36 features and the classification success rate is improved to 56.75%. For third level, 16 features are selected from 54 features and average success rate is improved to 64.98%. Lastly, at fourth level 72 features are applied to GFS, which selects 16 features and thereby increasing average success rate to 89.47%. Hence, GFS algorithm is the effective way of obtaining optimal set of feature in breast cancer diagnosis.

  2. A personalized committee classification approach to improving prediction of breast cancer metastasis.

    Science.gov (United States)

    Jahid, Md Jamiul; Huang, Tim H; Ruan, Jianhua

    2014-07-01

    Metastasis prediction is a well-known problem in breast cancer research. As breast cancer is a complex and heterogeneous disease with many molecular subtypes, predictive models trained for one cohort often perform poorly on other cohorts, and a combined model may be suboptimal for individual patients. Furthermore, attempting to develop subtype-specific models is hindered by the ambiguity and stereotypical definitions of subtypes. Here, we propose a personalized approach by relaxing the definition of breast cancer subtypes. We assume that each patient belongs to a distinct subtype, defined implicitly by a set of patients with similar molecular characteristics, and construct a different predictive model for each patient, using as training data, only the patients defining the subtype. To increase robustness, we also develop a committee-based prediction method by pooling together multiple personalized models. Using both intra- and inter-dataset validations, we show that our approach can significantly improve the prediction accuracy of breast cancer metastasis compared with several popular approaches, especially on those hard-to-learn cases. Furthermore, we find that breast cancer patients belonging to different canonical subtypes tend to have different predictive models and gene signatures, suggesting that metastasis in different canonical subtypes are likely governed by different molecular mechanisms. Source code implemented in MATLAB and Java available at www.cs.utsa.edu/∼jruan/PCC/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  3. 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).

  4. 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 ...

  5. 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 ...

  6. 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 ...

  7. Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

    Science.gov (United States)

    Li, Hui; Zhu, Yitan; Burnside, Elizabeth S; Huang, Erich; Drukker, Karen; Hoadley, Katherine A; Fan, Cheng; Conzen, Suzanne D; Zuley, Margarita; Net, Jose M; Sutton, Elizabeth; Whitman, Gary J; Morris, Elizabeth; Perou, Charles M; Ji, Yuan; Giger, Maryellen L

    2016-01-01

    Using quantitative radiomics, we demonstrate that computer-extracted magnetic resonance (MR) image-based tumor phenotypes can be predictive of the molecular classification of invasive breast cancers. Radiomics analysis was performed on 91 MRIs of biopsy-proven invasive breast cancers from National Cancer Institute’s multi-institutional TCGA/TCIA. Immunohistochemistry molecular classification was performed including estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and for 84 cases, the molecular subtype (normal-like, luminal A, luminal B, HER2-enriched, and basal-like). Computerized quantitative image analysis included: three-dimensional lesion segmentation, phenotype extraction, and leave-one-case-out cross validation involving stepwise feature selection and linear discriminant analysis. The performance of the classifier model for molecular subtyping was evaluated using receiver operating characteristic analysis. The computer-extracted tumor phenotypes were able to distinguish between molecular prognostic indicators; area under the ROC curve values of 0.89, 0.69, 0.65, and 0.67 in the tasks of distinguishing between ER+ versus ER−, PR+ versus PR−, HER2+ versus HER2−, and triple-negative versus others, respectively. Statistically significant associations between tumor phenotypes and receptor status were observed. More aggressive cancers are likely to be larger in size with more heterogeneity in their contrast enhancement. Even after controlling for tumor size, a statistically significant trend was observed within each size group (P=0.04 for lesions ⩽2 cm; P=0.02 for lesions >2 to ⩽5 cm) as with the entire data set (P-value=0.006) for the relationship between enhancement texture (entropy) and molecular subtypes (normal-like, luminal A, luminal B, HER2-enriched, basal-like). In conclusion, computer-extracted image phenotypes show promise for high-throughput discrimination of breast cancer subtypes and may yield a

  8. Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.

    Science.gov (United States)

    Li, Hui; Zhu, Yitan; Burnside, Elizabeth S; Huang, Erich; Drukker, Karen; Hoadley, Katherine A; Fan, Cheng; Conzen, Suzanne D; Zuley, Margarita; Net, Jose M; Sutton, Elizabeth; Whitman, Gary J; Morris, Elizabeth; Perou, Charles M; Ji, Yuan; Giger, Maryellen L

    2016-01-01

    Using quantitative radiomics, we demonstrate that computer-extracted magnetic resonance (MR) image-based tumor phenotypes can be predictive of the molecular classification of invasive breast cancers. Radiomics analysis was performed on 91 MRIs of biopsy-proven invasive breast cancers from National Cancer Institute's multi-institutional TCGA/TCIA. Immunohistochemistry molecular classification was performed including estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and for 84 cases, the molecular subtype (normal-like, luminal A, luminal B, HER2-enriched, and basal-like). Computerized quantitative image analysis included: three-dimensional lesion segmentation, phenotype extraction, and leave-one-case-out cross validation involving stepwise feature selection and linear discriminant analysis. The performance of the classifier model for molecular subtyping was evaluated using receiver operating characteristic analysis. The computer-extracted tumor phenotypes were able to distinguish between molecular prognostic indicators; area under the ROC curve values of 0.89, 0.69, 0.65, and 0.67 in the tasks of distinguishing between ER+ versus ER-, PR+ versus PR-, HER2+ versus HER2-, and triple-negative versus others, respectively. Statistically significant associations between tumor phenotypes and receptor status were observed. More aggressive cancers are likely to be larger in size with more heterogeneity in their contrast enhancement. Even after controlling for tumor size, a statistically significant trend was observed within each size group (P = 0.04 for lesions ≤ 2 cm; P = 0.02 for lesions >2 to ≤5 cm) as with the entire data set (P-value = 0.006) for the relationship between enhancement texture (entropy) and molecular subtypes (normal-like, luminal A, luminal B, HER2-enriched, basal-like). In conclusion, computer-extracted image phenotypes show promise for high-throughput discrimination of breast cancer subtypes and may yield a

  9. 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 ...

  10. Computerized three-class classification of MRI-based prognostic markers for breast cancer

    Science.gov (United States)

    Bhooshan, Neha; Giger, Maryellen; Edwards, Darrin; Yuan, Yading; Jansen, Sanaz; Li, Hui; Lan, Li; Sattar, Husain; Newstead, Gillian

    2011-09-01

    The purpose of this study is to investigate whether computerized analysis using three-class Bayesian artificial neural network (BANN) feature selection and classification can characterize tumor grades (grade 1, grade 2 and grade 3) of breast lesions for prognostic classification on DCE-MRI. A database of 26 IDC grade 1 lesions, 86 IDC grade 2 lesions and 58 IDC grade 3 lesions was collected. The computer automatically segmented the lesions, and kinetic and morphological lesion features were automatically extracted. The discrimination tasks—grade 1 versus grade 3, grade 2 versus grade 3, and grade 1 versus grade 2 lesions—were investigated. Step-wise feature selection was conducted by three-class BANNs. Classification was performed with three-class BANNs using leave-one-lesion-out cross-validation to yield computer-estimated probabilities of being grade 3 lesion, grade 2 lesion and grade 1 lesion. Two-class ROC analysis was used to evaluate the performances. We achieved AUC values of 0.80 ± 0.05, 0.78 ± 0.05 and 0.62 ± 0.05 for grade 1 versus grade 3, grade 1 versus grade 2, and grade 2 versus grade 3, respectively. This study shows the potential for (1) applying three-class BANN feature selection and classification to CADx and (2) expanding the role of DCE-MRI CADx from diagnostic to prognostic classification in distinguishing tumor grades.

  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. An iterated Laplacian based semi-supervised dimensionality reduction for classification of breast cancer on ultrasound images.

    Science.gov (United States)

    Liu, Xiao; Shi, Jun; Zhou, Shichong; Lu, Minhua

    2014-01-01

    The dimensionality reduction is an important step in ultrasound image based computer-aided diagnosis (CAD) for breast cancer. A newly proposed l2,1 regularized correntropy algorithm for robust feature selection (CRFS) has achieved good performance for noise corrupted data. Therefore, it has the potential to reduce the dimensions of ultrasound image features. However, in clinical practice, the collection of labeled instances is usually expensive and time costing, while it is relatively easy to acquire the unlabeled or undetermined instances. Therefore, the semi-supervised learning is very suitable for clinical CAD. The iterated Laplacian regularization (Iter-LR) is a new regularization method, which has been proved to outperform the traditional graph Laplacian regularization in semi-supervised classification and ranking. In this study, to augment the classification accuracy of the breast ultrasound CAD based on texture feature, we propose an Iter-LR-based semi-supervised CRFS (Iter-LR-CRFS) algorithm, and then apply it to reduce the feature dimensions of ultrasound images for breast CAD. We compared the Iter-LR-CRFS with LR-CRFS, original supervised CRFS, and principal component analysis. The experimental results indicate that the proposed Iter-LR-CRFS significantly outperforms all other algorithms.

  13. Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: texture-based classification of tissue morphologies

    Science.gov (United States)

    Turkki, Riku; Linder, Nina; Kovanen, Panu E.; Pellinen, Teijo; Lundin, Johan

    2016-03-01

    The characteristics of immune cells in the tumor microenvironment of breast cancer capture clinically important information. Despite the heterogeneity of tumor-infiltrating immune cells, it has been shown that the degree of infiltration assessed by visual evaluation of hematoxylin-eosin (H and E) stained samples has prognostic and possibly predictive value. However, quantification of the infiltration in H and E-stained tissue samples is currently dependent on visual scoring by an expert. Computer vision enables automated characterization of the components of the tumor microenvironment, and texture-based methods have successfully been used to discriminate between different tissue morphologies and cell phenotypes. In this study, we evaluate whether local binary pattern texture features with superpixel segmentation and classification with support vector machine can be utilized to identify immune cell infiltration in H and E-stained breast cancer samples. Guided with the pan-leukocyte CD45 marker, we annotated training and test sets from 20 primary breast cancer samples. In the training set of arbitrary sized image regions (n=1,116) a 3-fold cross-validation resulted in 98% accuracy and an area under the receiver-operating characteristic curve (AUC) of 0.98 to discriminate between immune cell -rich and - poor areas. In the test set (n=204), we achieved an accuracy of 96% and AUC of 0.99 to label cropped tissue regions correctly into immune cell -rich and -poor categories. The obtained results demonstrate strong discrimination between immune cell -rich and -poor tissue morphologies. The proposed method can provide a quantitative measurement of the degree of immune cell infiltration and applied to digitally scanned H and E-stained breast cancer samples for diagnostic purposes.

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. Carcinoma de mama: novos conceitos na classificação Breast cancer: new concepts in classification

    Directory of Open Access Journals (Sweden)

    Daniella Serafin Couto Vieira

    2008-01-01

    and the basis for and improved breast cancer molecular taxonomy. Another important implication is that genetic profiling may lead to the identification of new target for therapy and better predictive markers are needed to guide difficult treatment decisions. Additionally, the current pathology classification system is suboptimal, since patients with identical tumor types and stage of disease present different responses to therapy and different overall outcomes. Basal breast tumor represents one of the most intriguing subtypes and is frequently associated with poor prognosis and absence of putative therapeutic targets. Then, the purpose of this review was to resume the most recent knowledge about the breast carcinoma classification and characterization.

  18. 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. ...

  19. 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 ...

  20. 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 ...

  1. 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.

  2. 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...

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

    Directory of Open Access Journals (Sweden)

    Carol A. Parise

    2014-01-01

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

  4. 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

  5. Feature selection and classification of MAQC-II breast cancer and multiple myeloma microarray gene expression data.

    Directory of Open Access Journals (Sweden)

    Qingzhong Liu

    Full Text Available Microarray data has a high dimension of variables but available datasets usually have only a small number of samples, thereby making the study of such datasets interesting and challenging. In the task of analyzing microarray data for the purpose of, e.g., predicting gene-disease association, feature selection is very important because it provides a way to handle the high dimensionality by exploiting information redundancy induced by associations among genetic markers. Judicious feature selection in microarray data analysis can result in significant reduction of cost while maintaining or improving the classification or prediction accuracy of learning machines that are employed to sort out the datasets. In this paper, we propose a gene selection method called Recursive Feature Addition (RFA, which combines supervised learning and statistical similarity measures. We compare our method with the following gene selection methods: Support Vector Machine Recursive Feature Elimination (SVMRFE, Leave-One-Out Calculation Sequential Forward Selection (LOOCSFS, Gradient based Leave-one-out Gene Selection (GLGS. To evaluate the performance of these gene selection methods, we employ several popular learning classifiers on the MicroArray Quality Control phase II on predictive modeling (MAQC-II breast cancer dataset and the MAQC-II multiple myeloma dataset. Experimental results show that gene selection is strictly paired with learning classifier. Overall, our approach outperforms other compared methods. The biological functional analysis based on the MAQC-II breast cancer dataset convinced us to apply our method for phenotype prediction. Additionally, learning classifiers also play important roles in the classification of microarray data and our experimental results indicate that the Nearest Mean Scale Classifier (NMSC is a good choice due to its prediction reliability and its stability across the three performance measurements: Testing accuracy, MCC values, and

  6. Bilateral image subtraction features for multivariate automated classification of breast cancer risk

    Science.gov (United States)

    Celaya-Padilla, Jose M.; Rodriguez-Rojas, Juan; Galván-Tejada, Jorge I.; Martínez-Torteya, Antonio; Treviño, Victor; Tamez-Peña, José G.

    2014-03-01

    Early tumor detection is key in reducing breast cancer deaths and screening mammography is the most widely available method for early detection. However, mammogram interpretation is based on human radiologist, whose radiological skills, experience and workload makes radiological interpretation inconsistent. In an attempt to make mammographic interpretation more consistent, computer aided diagnosis (CADx) systems has been introduced. This paper presents an CADx system aimed to automatically triage normal mammograms form suspicious mammograms. The CADx system co-reregister the left and breast images, then extracts image features from the co-registered mammographic bilateral sets. Finally, an optimal logistic multivariate model is generated by means of an evolutionary search engine. In this study, 440 subjects form the DDSM public data sets were used: 44 normal mammograms, 201 malignant mass mammograms, and 195 mammograms with malignant calci cations. The results showed a cross validation accuracy of 0.88 and an area under receiver operating characteristic (AUC) of 0.89 for the calci cations vs. normal mammograms. The optimal mass vs. normal mammograms model obtained an accuracy of 0.85 and an AUC of 0.88.

  7. 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 ...

  8. 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 ...

  9. 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 ...

  10. 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 ...

  11. 4-IHC classification of breast cancer subtypes in a large cohort of a clinical cancer registry: use in clinical routine for therapeutic decisions and its effect on survival.

    Science.gov (United States)

    Inwald, Elisabeth Christine; Koller, M; Klinkhammer-Schalke, M; Zeman, F; Hofstädter, F; Gerstenhauer, M; Brockhoff, G; Ortmann, O

    2015-10-01

    The aim of the present study was to evaluate to what extent the combination of standard histopathological parameters determines the biology of breast cancer and the effect on therapy and prognosis. The Clinical Cancer Registry Regensburg (Bavaria, Germany) included n = 4,480 female patients with primary, non-metastatic (M0) invasive breast cancer diagnosed between 2000 and 2012. Immuno-histochemical analyses, i.e., estrogen receptor (ER), progesterone receptor (PR), HER2, and Ki-67 (4-IHC), defined the tumor biological subtypes Luminal A, Luminal B, HER2-like, and Basal-like. Subtype-related differences in therapies and overall survival (OS) were analyzed using multivariable statistical methods. 4344 patients (97.0 %) could be classified into the four common tumor biological subtypes. The two most frequent entities were Luminal A (48.4 %), Luminal B (24.8 %), HER2-like (17.8 %), and Basal-like subtype (9.0 %). A multivariable Cox regression model showed that the best 7-year OS was seen in Luminal A patients and that OS of Luminal B and HER2-like patients was comparable (HR = 1.59, P < 0.001 versus HR = 1.51, P = 0.03). Lowest OS was seen in patients with Basal-like tumors (HR = 2.18, P < 0.001). In conclusion, the classification of tumor biological subtypes by the ER, PR, HER2, and Ki-67 biomarkers is practical in routine clinical work. Providing that quality assurance of these markers is ensured, this classification is useful for making therapy decisions in the routine clinical management of breast cancer patients.

  12. 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 ...

  13. Identifying the concepts contained in outcome measures of clinical trials on breast cancer using the International Classification of Functioning, Disability and Health as a reference.

    Science.gov (United States)

    Brockow, Thomas; Duddeck, Katharina; Geyh, Szilvia; Schwarzkopf, Susanne; Weigl, Martin; Franke, Thomas; Brach, Mirjam

    2004-07-01

    To systematically identify and quantify the concepts contained in outcome measures of clinical breast cancer trials using the International Classification of Functioning, Disability and Health (ICF) as a reference. Randomized controlled trials between 1991 and 2000 were located in MEDLINE and selected according predefined criteria. The outcome measures were extracted and the concepts contained in the outcome measures were linked to the ICF. A total of 640 trials were included. Ninety-four different health status questionnaires were extracted. Three questionnaires were breast cancer-specific and 12 cancer-specific. Of 19,692 extracted concepts, 88% could be linked to the ICF. The most used ICF categories within the components body structures, body functions, and activities and participation were structure of the reproductive system (s630), sensations associated with the digestive system (b535), and looking after one's health (d570) with frequencies of 64%, 46% and 14%, respectively. No category of the environmental factors component reached a frequency of 10%. The ICF provides a useful reference to identify and quantify the concepts contained in outcome assessment used in clinical breast cancer trials. There seems to be a lack of health concepts evaluating specific aspects of disability and participation in breast cancer. Similarly, environmental factors with an impact on individual life of breast cancer survivors seem to be poorly represented.

  14. Normed kernel function-based fuzzy possibilistic C-means (NKFPCM) algorithm for high-dimensional breast cancer database classification with feature selection is based on Laplacian Score

    Science.gov (United States)

    Lestari, A. W.; Rustam, Z.

    2017-07-01

    In the last decade, breast cancer has become the focus of world attention as this disease is one of the primary leading cause of death for women. Therefore, it is necessary to have the correct precautions and treatment. In previous studies, Fuzzy Kennel K-Medoid algorithm has been used for multi-class data. This paper proposes an algorithm to classify the high dimensional data of breast cancer using Fuzzy Possibilistic C-means (FPCM) and a new method based on clustering analysis using Normed Kernel Function-Based Fuzzy Possibilistic C-Means (NKFPCM). The objective of this paper is to obtain the best accuracy in classification of breast cancer data. In order to improve the accuracy of the two methods, the features candidates are evaluated using feature selection, where Laplacian Score is used. The results show the comparison accuracy and running time of FPCM and NKFPCM with and without feature selection.

  15. 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.

  16. IDM-PhyChm-Ens: intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids.

    Science.gov (United States)

    Ali, Safdar; Majid, Abdul; Khan, Asifullah

    2014-04-01

    Development of an accurate and reliable intelligent decision-making method for the construction of cancer diagnosis system is one of the fast growing research areas of health sciences. Such decision-making system can provide adequate information for cancer diagnosis and drug discovery. Descriptors derived from physicochemical properties of protein sequences are very useful for classifying cancerous proteins. Recently, several interesting research studies have been reported on breast cancer classification. To this end, we propose the exploitation of the physicochemical properties of amino acids in protein primary sequences such as hydrophobicity (Hd) and hydrophilicity (Hb) for breast cancer classification. Hd and Hb properties of amino acids, in recent literature, are reported to be quite effective in characterizing the constituent amino acids and are used to study protein foldings, interactions, structures, and sequence-order effects. Especially, using these physicochemical properties, we observed that proline, serine, tyrosine, cysteine, arginine, and asparagine amino acids offer high discrimination between cancerous and healthy proteins. In addition, unlike traditional ensemble classification approaches, the proposed 'IDM-PhyChm-Ens' method was developed by combining the decision spaces of a specific classifier trained on different feature spaces. The different feature spaces used were amino acid composition, split amino acid composition, and pseudo amino acid composition. Consequently, we have exploited different feature spaces using Hd and Hb properties of amino acids to develop an accurate method for classification of cancerous protein sequences. We developed ensemble classifiers using diverse learning algorithms such as random forest (RF), support vector machines (SVM), and K-nearest neighbor (KNN) trained on different feature spaces. We observed that ensemble-RF, in case of cancer classification, performed better than ensemble-SVM and ensemble-KNN. Our

  17. 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 ...

  18. Clinical application of a microfluidic chip for immunocapture and quantification of circulating exosomes to assist breast cancer diagnosis and molecular classification.

    Science.gov (United States)

    Fang, Shimeng; Tian, Hongzhu; Li, Xiancheng; Jin, Dong; Li, Xiaojie; Kong, Jing; Yang, Chun; Yang, Xuesong; Lu, Yao; Luo, Yong; Lin, Bingcheng; Niu, Weidong; Liu, Tingjiao

    2017-01-01

    Increasing attention has been attracted by exosomes in blood-based diagnosis because cancer cells release more exosomes in serum than normal cells and these exosomes overexpress a certain number of cancer-related biomarkers. However, capture and biomarker analysis of exosomes for clinical application are technically challenging. In this study, we developed a microfluidic chip for immunocapture and quantification of circulating exosomes from small sample volume and applied this device in clinical study. Circulating EpCAM-positive exosomes were measured in 6 cases breast cancer patients and 3 healthy controls to assist diagnosis. A significant increase in the EpCAM-positive exosome level in these patients was detected, compared to healthy controls. Furthermore, we quantified circulating HER2-positive exosomes in 19 cases of breast cancer patients for molecular classification. We demonstrated that the exosomal HER2 expression levels were almost consistent with that in tumor tissues assessed by immunohistochemical staining. The microfluidic chip might provide a new platform to assist breast cancer diagnosis and molecular classification.

  19. Mammographic classification of breast lesions amongst women in ...

    African Journals Online (AJOL)

    Cite as: Nwadike UI, Eze CU, Agwuna K, Mouka C. Mammographic classification of breast lesions amongst women in Enugu, South East. Nigeria. Afri Health ... It has the ability to detect micro-calcification which can- not be delineated by ... estimated 246,660 new cases of the invasive breast cancer are expected to be ...

  20. 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 ...

  1. 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.

  2. An associated classification of triple negative breast cancer: the risk of relapse and the response to chemotherapy.

    Science.gov (United States)

    Zhang, Jing; Wang, Yahong; Yin, Quangui; Zhang, Wei; Zhang, Tongxian; Niu, Yun

    2013-01-01

    Triple negative breast cancer (TNBC) is heterogeneous and considered as an aggressive tumor. This study was to evaluate the associated classification and its correlations with prognosis and the response to chemotherapy in Chinese women. Four hundred and twenty-eight cases of invasive TNBC were involved in this study. The expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and cytokeratin 5/6 (CK5/6), Ki67 and p53 were analyzed by immunohistochemistry and compared with patient outcome, and its implications and chemotherapy response were evaluated in four subgroups: typical medullary carcinoma (TMC), atypical medullary carcinoma (AMC), non-specific invasive ductal carcinoma (IDC) and other types. The factors of tumor grade, tumor stage, lymph node status, EGFR/CK5/6 status and p53 labeling index were different among the groups. TMC tumors had the lowest rate of relapse (5.8%), while AMC, IDC and other types were associated with an increased risk of relapse (19.1%, 26.7% and 38.2% respectively). Many factors were risk predictors of relapse for TNBC and IDC, while only positive lymph node was for AMC. For MC tumors, adjunctive chemotherapy decreased the risk of relapse in lymph node positive subgroup (36.8% and 66.7%), while not significant in lymph node negative one (8.1% and 10.0%). The classification based on histologic and IHC findings may be a significant improvement in predicting outcome in TNBC. The different chemotherapy response in subgroups may contribute to guiding the treatment of TNBC.

  3. 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. ...

  4. 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.

  5. Profiling of microRNAs in tumor interstitial fluid of breast tumors - a novel resource to identify biomarkers for prognostic classification and detection of cancer.

    Science.gov (United States)

    Halvorsen, Ann Rita; Helland, Åslaug; Gromov, Pavel; Wielenga, Vera Timmermans; Talman, Maj-Lis Møller; Brunner, Nils; Sandhu, Vandana; Børresen-Dale, Anne-Lise; Gromova, Irina; Haakensen, Vilde D

    2017-02-01

    It has been hypothesized based on accumulated data that a class of small noncoding RNAs, termed microRNAs, are key factors in intercellular communication. Here, microRNAs present in interstitial breast tumor fluids have been analyzed to identify relevant markers for a diagnosis of breast cancer and to elucidate the cross-talk that exists among cells in a tumor microenvironment. Matched tumor interstitial fluid samples (TIF, n = 60), normal interstitial fluid samples (NIF, n = 51), corresponding tumor tissue specimens (n = 54), and serum samples (n = 27) were collected from patients with breast cancer, and detectable microRNAs were analyzed and compared. In addition, serum data from 32 patients with breast cancer and 22 healthy controls were obtained for a validation study. To identify potential serum biomarkers of breast cancer, first the microRNA profiles of TIF and NIF samples were compared. A total of 266 microRNAs were present at higher level in the TIF samples as compared to normal counterparts. Sixty-one of these microRNAs were present in > 75% of the serum samples and were subsequently tested in a validation set. Seven of the 61 microRNAs were associated with poor survival, while 23 were associated with the presence of immune cells and adipocytes. To our knowledge, these data demonstrate for the first time that profiling of microRNAs in TIF can identify novel biomarkers for the prognostic classification and detection of breast cancer. In addition, the present findings demonstrate that microRNAs may represent the cross-talk that occurs between tumor cells and their surrounding stroma. © 2016 The Authors. Published by FEBS Press and John Wiley & Sons Ltd.

  6. 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

  7. 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 ...

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

    DEFF Research Database (Denmark)

    List, Markus; Hauschild, Anne-Christin; Tan, Qihua

    2014-01-01

    expression data for hundreds of patients, the challenge is to extract a minimal optimal set of genes with good prognostic properties from a large bulk of genes making a moderate contribution to classification. Several studies have successfully applied machine learning algorithms to solve this so-called gene...

  9. 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.

  10. 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 ...

  11. 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

  12. 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 ...

  13. The International Classification of Functioning (ICF) core set for breast cancer from the perspective of women with the condition.

    Science.gov (United States)

    Cooney, Marese; Galvin, Rose; Connolly, Elizabeth; Stokes, Emma

    2013-05-01

    The ICF Core Set for breast cancer was generated by international experts for women who have had surgery and radiation but it has not yet been validated. The objective of the study was to validate the ICF Core Set from the perspective of women with breast cancer. A qualitative focus group methodology was used. The sessions were transcribed verbatim. Meaning units were identified by two independent researchers. The agreed list was subsequently linked to ICF categories by two independent researchers according to pre-defined linking rules. Data saturation determined the number of focus groups conducted. Quality of the data analyses was assured by multiple coding and peer review. Thirty-four women participated in seven focus groups. A total of 1621 meaning units were identified which were linked to 74 of the existing 80 Core Set categories. Additional ICF categories not currently included in the Core Set were identified by the women. The validity of the Core Set was largely supported. However, some categories currently not covered by the ICF Core Set for Breast Cancer will need to be considered for inclusion if the Core Set is to reflect all women who have had treatment for breast cancer

  14. 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...

  15. 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, ...

  16. Reverse phase protein array based tumor profiling identifies a biomarker signature for risk classification of hormone receptor-positive breast cancer

    Directory of Open Access Journals (Sweden)

    Johanna Sonntag

    2014-03-01

    Full Text Available A robust subclassification of luminal breast cancer, the most common molecular subtype of human breast cancer, is crucial for therapy decisions. While a part of patients is at higher risk of recurrence and requires chemo-endocrine treatment, the other part is at lower risk and also poorly responds to chemotherapeutic regimens. To approximate the risk of cancer recurrence, clinical guidelines recommend determining histologic grading and abundance of a cell proliferation marker in tumor specimens. However, this approach assigns an intermediate risk to a substantial number of patients and in addition suffers from a high interobserver variability. Therefore, the aim of our study was to identify a quantitative protein biomarker signature to facilitate risk classification. Reverse phase protein arrays (RPPA were used to obtain quantitative expression data for 128 breast cancer relevant proteins in a set of hormone receptor-positive tumors (n = 109. Proteomic data for the subset of histologic G1 (n = 14 and G3 (n = 22 samples were used for biomarker discovery serving as surrogates of low and high recurrence risk, respectively. A novel biomarker selection workflow based on combining three different classification methods identified caveolin-1, NDKA, RPS6, and Ki-67 as top candidates. NDKA, RPS6, and Ki-67 were expressed at elevated levels in high risk tumors whereas caveolin-1 was observed as downregulated. The identified biomarker signature was subsequently analyzed using an independent test set (AUC = 0.78. Further evaluation of the identified biomarker panel by Western blot and mRNA profiling confirmed the proteomic signature obtained by RPPA. In conclusion, the biomarker signature introduced supports RPPA as a tool for cancer biomarker discovery.

  17. 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.

  18. 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 ...

  19. [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.

  20. 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 ...

  1. 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 ...

  2. 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

  3. 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.

  4. 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.

  5. 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.

  6. 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

  7. Implementation of several mathematical algorithms to breast tissue density classification

    Science.gov (United States)

    Quintana, C.; Redondo, M.; Tirao, G.

    2014-02-01

    The accuracy of mammographic abnormality detection methods is strongly dependent on breast tissue characteristics, where a dense breast tissue can hide lesions causing cancer to be detected at later stages. In addition, breast tissue density is widely accepted to be an important risk indicator for the development of breast cancer. This paper presents the implementation and the performance of different mathematical algorithms designed to standardize the categorization of mammographic images, according to the American College of Radiology classifications. These mathematical techniques are based on intrinsic properties calculations and on comparison with an ideal homogeneous image (joint entropy, mutual information, normalized cross correlation and index Q) as categorization parameters. The algorithms evaluation was performed on 100 cases of the mammographic data sets provided by the Ministerio de Salud de la Provincia de Córdoba, Argentina—Programa de Prevención del Cáncer de Mama (Department of Public Health, Córdoba, Argentina, Breast Cancer Prevention Program). The obtained breast classifications were compared with the expert medical diagnostics, showing a good performance. The implemented algorithms revealed a high potentiality to classify breasts into tissue density categories.

  8. 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 ...

  9. 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 ...

  10. 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 ...

  11. 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.

  12. 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...

  13. Breast density classification to reduce false positives in CADe systems.

    Science.gov (United States)

    Vállez, Noelia; Bueno, Gloria; Déniz, Oscar; Dorado, Julián; Seoane, José Antonio; Pazos, Alejandro; Pastor, Carlos

    2014-02-01

    This paper describes a novel weighted voting tree classification scheme for breast density classification. Breast parenchymal density is an important risk factor in breast cancer. Moreover, it is known that mammogram interpretation is more difficult when dense tissue is involved. Therefore, automated breast density classification may aid in breast lesion detection and analysis. Several classification methods have been compared and a novel hierarchical classification procedure of combined classifiers with linear discriminant analysis (LDA) is proposed as the best solution to classify the mammograms into the four BIRADS tissue classes. The classification scheme is based on 298 texture features. Statistical analysis to test the normality and homoscedasticity of the data was carried out for feature selection. Thus, only features that are influenced by the tissue type were considered. The novel classification techniques have been incorporated into a CADe system to drive the detection algorithms and tested with 1459 images. The results obtained on the 322 screen-film mammograms (SFM) of the mini-MIAS dataset show that 99.75% of samples were correctly classified. On the 1137 full-field digital mammograms (FFDM) dataset results show 91.58% agreement. The results of the lesion detection algorithms were obtained from modules integrated within the CADe system developed by the authors and show that using breast tissue classification prior to lesion detection leads to an improvement of the detection results. The tools enhance the detectability of lesions and they are able to distinguish their local attenuation without local tissue density constraints. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  14. 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

  15. 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 ...

  16. [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.

  17. 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.

  18. 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.

  19. 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?

  20. 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

  1. Adjuvant Therapy of Triple Negative Breast Cancer

    OpenAIRE

    Perez, Edith A.; Moreno-Aspitia, Alvaro; Thompson, E. Aubrey; Andorfer, Cathy A

    2010-01-01

    Patients with the triple negative subtype of breast cancer have an overall poor outcome, with earlier relapses, distinct patterns of metastases, and lack of specific targets for treatment selection. Classification of these tumors has begun to be modified by inclusion of immunohistochemistry for various markers, and gene profiling, to further characterize this subtype of breast cancer, may aid in the identification of new targeted therapies. Anthracyclines and taxanes remain the standard of ca...

  2. Influence of Texture and Colour in Breast TMA Classification

    Science.gov (United States)

    Fernández-Carrobles, M. Milagro; Bueno, Gloria; Déniz, Oscar; Salido, Jesús; García-Rojo, Marcial; González-López, Lucía

    2015-01-01

    Breast cancer diagnosis is still done by observation of biopsies under the microscope. The development of automated methods for breast TMA classification would reduce diagnostic time. This paper is a step towards the solution for this problem and shows a complete study of breast TMA classification based on colour models and texture descriptors. The TMA images were divided into four classes: i) benign stromal tissue with cellularity, ii) adipose tissue, iii) benign and benign anomalous structures, and iv) ductal and lobular carcinomas. A relevant set of features was obtained on eight different colour models from first and second order Haralick statistical descriptors obtained from the intensity image, Fourier, Wavelets, Multiresolution Gabor, M-LBP and textons descriptors. Furthermore, four types of classification experiments were performed using six different classifiers: (1) classification per colour model individually, (2) classification by combination of colour models, (3) classification by combination of colour models and descriptors, and (4) classification by combination of colour models and descriptors with a previous feature set reduction. The best result shows an average of 99.05% accuracy and 98.34% positive predictive value. These results have been obtained by means of a bagging tree classifier with combination of six colour models and the use of 1719 non-correlated (correlation threshold of 97%) textural features based on Statistical, M-LBP, Gabor and Spatial textons descriptors. PMID:26513238

  3. 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 ...

  4. 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 ...

  5. 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

  6. Static micro-array isolation, dynamic time series classification, capture and enumeration of spiked breast cancer cells in blood: the nanotube-CTC chip

    Science.gov (United States)

    Khosravi, Farhad; Trainor, Patrick J.; Lambert, Christopher; Kloecker, Goetz; Wickstrom, Eric; Rai, Shesh N.; Panchapakesan, Balaji

    2016-11-01

    We demonstrate the rapid and label-free capture of breast cancer cells spiked in blood using nanotube-antibody micro-arrays. 76-element single wall carbon nanotube arrays were manufactured using photo-lithography, metal deposition, and etching techniques. Anti-epithelial cell adhesion molecule (anti-EpCAM), Anti-human epithelial growth factor receptor 2 (anti-Her2) and non-specific IgG antibodies were functionalized to the surface of the nanotube devices using 1-pyrene-butanoic acid succinimidyl ester. Following device functionalization, blood spiked with SKBR3, MCF7 and MCF10A cells (100/1000 cells per 5 μl per device, 170 elements totaling 0.85 ml of whole blood) were adsorbed on to the nanotube device arrays. Electrical signatures were recorded from each device to screen the samples for differences in interaction (specific or non-specific) between samples and devices. A zone classification scheme enabled the classification of all 170 elements in a single map. A kernel-based statistical classifier for the ‘liquid biopsy’ was developed to create a predictive model based on dynamic time warping series to classify device electrical signals that corresponded to plain blood (control) or SKBR3 spiked blood (case) on anti-Her2 functionalized devices with ˜90% sensitivity, and 90% specificity in capture of 1000 SKBR3 breast cancer cells in blood using anti-Her2 functionalized devices. Screened devices that gave positive electrical signatures were confirmed using optical/confocal microscopy to hold spiked cancer cells. Confocal microscopic analysis of devices that were classified to hold spiked blood based on their electrical signatures confirmed the presence of cancer cells through staining for DAPI (nuclei), cytokeratin (cancer cells) and CD45 (hematologic cells) with single cell sensitivity. We report 55%-100% cancer cell capture yield depending on the active device area for blood adsorption with mean of 62% (˜12 500 captured off 20 000 spiked cells in 0.1 ml

  7. Computer-Aided Interval Change Analysis of Microcalifications on Management for Breast Cancer Detection

    Science.gov (United States)

    2006-07-01

    of Microcalcifications on Mammograms for Breast Cancer Detection PRINCIPAL INVESTIGATOR: Lubomir Hadjiiski, Ph.D...Computer-Aided Interval Change Analysis of Microcalcifications on Mammograms for 5a. CONTRACT NUMBER Breast Cancer Detection 5b. GRANT NUMBER DAMD17...CAD(p=0.04). 15. SUBJECT TERMS Breast Cancer , Computer-aided diagnosis, Screening, Classification, Image Analysis 16. SECURITY CLASSIFICATION OF

  8. 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 ...

  9. 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

  10. 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...

  11. 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 ...

  12. 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...

  13. The tuberous breast deformity: classification and treatment.

    Science.gov (United States)

    von Heimburg, D; Exner, K; Kruft, S; Lemperle, G

    1996-09-01

    To date there are many descriptive terms for the tuberous breast deformity but there is no widely accepted nomenclature. A retrospective study was undertaken of 68 tuberous breasts and the operative corrections performed. The deformities were classified into four types. Type I (hypoplasia of the lower medial quadrant), type II (hypoplasia of the lower medial and lateral quadrants, sufficient skin in the subareolar region), type III (hypoplasia of the lower medial and lateral quadrants, deficiency of skin in the subareolar region) and type IV (severe breast constriction, minimal breast base). Areolar prolapse, usually regarded as a major symptom, was only found in 30 (44%) deformed breasts. Postoperative review of 51 breasts in 31 patients showed that type I cases treated by reduction mammaplasty of adequately sized breasts or augmentation of hypoplastic breasts had excellent results. These procedures with additional spreading of the breast tissue in type II deformities give good results. Severe cases (types III and IV) treated by augmentation and tissue spreading procedures have an unsatisfactory shape and have a 'second crease' deformity. For types III and IV, additional skin in the subareolar region by tissue expansion or flap procedures is necessary. There is no one method to correct 'the' tuberous breast but there are many procedures which should be used according to the type of deformity. The classification developed could end the confusion in nomenclature.

  14. Immunohistochemical Surrogates for Molecular Classification of Breast Carcinoma: A 2015 Update

    National Research Council Canada - National Science Library

    Tang, Ping; Tse, Gary M

    2016-01-01

    -The pioneering works on molecular classification (MC) by Perou and Sorlie et al in the early 2000s using global gene expression profiling identified 5 intrinsic subtypes of invasive breast cancers (IBCs...

  15. [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.

  16. Analysis of framelets for breast cancer diagnosis.

    Science.gov (United States)

    Thivya, K S; Sakthivel, P; Venkata Sai, P M

    2016-01-01

    Breast cancer is the second threatening tumor among the women. The effective way of reducing breast cancer is its early detection which helps to improve the diagnosing process. Digital mammography plays a significant role in mammogram screening at earlier stage of breast carcinoma. Even though, it is very difficult to find accurate abnormality in prevalent screening by radiologists. But the possibility of precise breast cancer screening is encouraged by predicting the accurate type of abnormality through Computer Aided Diagnosis (CAD) systems. The two most important indicators of breast malignancy are microcalcifications and masses. In this study, framelet transform, a multiresolutional analysis is investigated for the classification of the above mentioned two indicators. The statistical and co-occurrence features are extracted from the framelet decomposed mammograms with different resolution levels and support vector machine is employed for classification with k-fold cross validation. This system achieves 94.82% and 100% accuracy in normal/abnormal classification (stage I) and benign/malignant classification (stage II) of mass classification system and 98.57% and 100% for microcalcification system when using the MIAS database.

  17. Mammographic phenotypes of breast cancer risk driven by breast anatomy

    Science.gov (United States)

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

    2017-03-01

    Image-derived features of breast parenchymal texture patterns have emerged as promising risk factors for breast cancer, paving the way towards personalized recommendations regarding women's cancer risk evaluation and screening. The main steps to extract texture features of the breast parenchyma are the selection of regions of interest (ROIs) where texture analysis is performed, the texture feature calculation and the texture feature summarization in case of multiple ROIs. In this study, we incorporate breast anatomy in these three key steps by (a) introducing breast anatomical sampling for the definition of ROIs, (b) texture feature calculation aligned with the structure of the breast and (c) weighted texture feature summarization considering the spatial position and the underlying tissue composition of each ROI. We systematically optimize this novel framework for parenchymal tissue characterization in a case-control study with digital mammograms from 424 women. We also compare the proposed approach with a conventional methodology, not considering breast anatomy, recently shown to enhance the case-control discriminatory capacity of parenchymal texture analysis. The case-control classification performance is assessed using elastic-net regression with 5-fold cross validation, where the evaluation measure is the area under the curve (AUC) of the receiver operating characteristic. Upon optimization, the proposed breast-anatomy-driven approach demonstrated a promising case-control classification performance (AUC=0.87). In the same dataset, the performance of conventional texture characterization was found to be significantly lower (AUC=0.80, DeLong's test p-valuebreast anatomy may further leverage the associations of parenchymal texture features with breast cancer, and may therefore be a valuable addition in pipelines aiming to elucidate quantitative mammographic phenotypes of breast cancer risk.

  18. 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.

  19. 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

  20. 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.

  1. 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

  2. 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

  3. 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.

  4. Preventing Breast Cancer: Making Progress

    Science.gov (United States)

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

  5. 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 ...

  6. 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...

  7. 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

  8. 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.

  9. 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

  10. 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

  11. Profiling of microRNAs in tumor interstitial fluid of breast tumors – a novel resource to identify biomarkers for prognostic classification and detection of cancer

    DEFF Research Database (Denmark)

    Halvorsen, Ann Rita; Helland, Åslaug; Gromov, Pavel

    2017-01-01

    and to elucidate the cross-talk that exists among cells in a tumor microenvironment. Matched tumor interstitial fluid samples (TIF, n = 60), normal interstitial fluid samples (NIF, n = 51), corresponding tumor tissue specimens (n = 54), and serum samples (n = 27) were collected from patients with breast cancer......, and detectable microRNAs were analyzed and compared. In addition, serum data from 32 patients with breast cancer and 22 healthy controls were obtained for a validation study. To identify potential serum biomarkers of breast cancer, first the microRNA profiles of TIF and NIF samples were compared. A total of 266...

  12. Gene expression based cancer classification

    OpenAIRE

    Sara Tarek; Reda Abd Elwahab; Mahmoud Shoman

    2017-01-01

    Cancer classification based on molecular level investigation has gained the interest of researches as it provides a systematic, accurate and objective diagnosis for different cancer types. Several recent researches have been studying the problem of cancer classification using data mining methods, machine learning algorithms and statistical methods to reach an efficient analysis for gene expression profiles. Studying the characteristics of thousands of genes simultaneously offered a deep in...

  13. 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

  14. 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

  15. 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 ...

  16. 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

  17. 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

  18. 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

  19. 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

  20. Pathway-based classification of cancer subtypes

    Directory of Open Access Journals (Sweden)

    Kim Shinuk

    2012-07-01

    Full Text Available Abstract Background Molecular markers based on gene expression profiles have been used in experimental and clinical settings to distinguish cancerous tumors in stage, grade, survival time, metastasis, and drug sensitivity. However, most significant gene markers are unstable (not reproducible among data sets. We introduce a standardized method for representing cancer markers as 2-level hierarchical feature vectors, with a basic gene level as well as a second level of (more stable pathway markers, for the purpose of discriminating cancer subtypes. This extends standard gene expression arrays with new pathway-level activation features obtained directly from off-the-shelf gene set enrichment algorithms such as GSEA. Such so-called pathway-based expression arrays are significantly more reproducible across datasets. Such reproducibility will be important for clinical usefulness of genomic markers, and augment currently accepted cancer classification protocols. Results The present method produced more stable (reproducible pathway-based markers for discriminating breast cancer metastasis and ovarian cancer survival time. Between two datasets for breast cancer metastasis, the intersection of standard significant gene biomarkers totaled 7.47% of selected genes, compared to 17.65% using pathway-based markers; the corresponding percentages for ovarian cancer datasets were 20.65% and 33.33% respectively. Three pathways, consisting of Type_1_diabetes mellitus, Cytokine-cytokine_receptor_interaction and Hedgehog_signaling (all previously implicated in cancer, are enriched in both the ovarian long survival and breast non-metastasis groups. In addition, integrating pathway and gene information, we identified five (ID4, ANXA4, CXCL9, MYLK, FBXL7 and six (SQLE, E2F1, PTTG1, TSTA3, BUB1B, MAD2L1 known cancer genes significant for ovarian and breast cancer respectively. Conclusions Standardizing the analysis of genomic data in the process of cancer staging

  1. Diagnosis of breast cancer using diffuse optical spectroscopy from 500 to 1600 nm: comparison of classification methods

    NARCIS (Netherlands)

    Nachabé, Rami; Evers, Daniel; Evers, Daniel J.; Hendriks, Benno H.W.; Lucassen, Gerald W.; Lucassen, Gerald; van der Voort, Marjolein; Rutgers, Emiel J.; Vrancken Peeters, Marie-Jeanne; van der Hage, Jos A.; Oldenburg, Hester S.; Wesseling, Jelle; Ruers, Theo J.M.

    2011-01-01

    We report on the use of diffuse optical spectroscopy analysis of breast spectra acquired in the wavelength range from 500 to 1600 nm with a fiber optic probe. A total of 102 ex vivo samples of five different breast tissue types, namely adipose, glandular, fibroadenoma, invasive carcinoma, and ductal

  2. Diagnosis of breast cancer using diffuse optical spectroscopy from 500 to 1600 nm: a comparison of classification methods

    NARCIS (Netherlands)

    Nachabe, R.; Evers, D.; Hendriks, B.H.W.; Lucassen, G.W.; Van der Voort, M.; Wesseling, J.; Rutgers, E. J.; Vrancken Peeters, M.J.; Hage, J.A.van der; Oldenbeng, H.S.; Ruers, T.

    2011-01-01

    We report on the use of diffuse optical spectroscopy analysis of breast spectra acquired in the wavelength range from 500 to 1600 nm with a fiber optic probe. A total of 102 ex vivo samples of five different breast tissue types, namely adipose, glandular, fibroadenoma, invasive carcinoma and ductal

  3. 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...

  4. Breast Cancer: A Molecular and Redox Snapshot.

    Science.gov (United States)

    Raman, Deepika; Foo, Chuan Han Jonathan; Clement, Marie-Veronique; Pervaiz, Shazib

    2016-08-20

    Breast cancer is a unique disease characterized by heterogeneous cell populations causing roadblocks in therapeutic medicine, owing to its complex etiology and primeval understanding of the biology behind its genesis, progression, and sustenance. Globocan statistics indicate over 1.7 million new breast cancer diagnoses in 2012, accounting for 25% of all cancer morbidities. Despite these dismal statistics, the introduction of molecular gene signature platforms, progressive therapeutic approaches in diagnosis, and management of breast cancer has led to more effective treatment strategies and control measures concurrent with an equally reassuring decline in the mortality rate. However, an enormous body of research in this area is requisite as high mortality associated with metastatic and/or drug refractory tumors continues to present a therapeutic challenge. Despite advances in systemic chemotherapy, the median survival of patients harboring metastatic breast cancers continues to be below 2 years. Hence, a massive effort to scrutinize and evaluate chemotherapeutics on the basis of the molecular classification of these cancers is undertaken with the objective to devise more attractive and feasible approaches to treat breast cancers and improve patients' quality of life. This review aims to summarize the current understanding of the biology of breast cancer as well as challenges faced in combating breast cancer, with special emphasis on the current battery of treatment strategies. We will also try and gain perspective from recent encounters on novel findings responsible for the progression and metastatic transformation of breast cancer cells in an endeavor to develop more targeted treatment options. Antioxid. Redox Signal. 25, 337-370.

  5. 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...

  6. 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.

  7. Proteomic maps of breast cancer subtypes

    DEFF Research Database (Denmark)

    Tyanova, Stefka; Albrechtsen, Reidar; Kronqvist, Pauliina

    2016-01-01

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

  8. 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 ...

  9. Independent Association of Lobular Involution and Mammographic Breast Density With Breast Cancer Risk

    Science.gov (United States)

    Vachon, Celine M.; Pankratz, V. Shane; Vierkant, Robert A.; Anderson, Stephanie S.; Brandt, Kathleen R.; Visscher, Daniel W.; Reynolds, Carol; Frost, Marlene H.; Hartmann, Lynn C.

    2010-01-01

    Background Lobular involution, or age-related atrophy of breast lobules, is inversely associated with breast cancer risk, and mammographic breast density (MBD) is positively associated with breast cancer risk. Methods To evaluate whether lobular involution and MBD are independently associated with breast cancer risk in women with benign breast disease, we performed a nested cohort study among women (n = 2666) with benign breast disease diagnosed at Mayo Clinic between January 1, 1985, and December 31, 1991 and a mammogram available within 6 months of the diagnosis. Women were followed up for an average of 13.3 years to document any breast cancer incidence. Lobular involution was categorized as none, partial, or complete; parenchymal pattern was classified using the Wolfe classification as N1 (nondense), P1, P2 (ductal prominence occupying 25% of the breast, respectively), or DY (extremely dense). Hazard ratios (HRs) and 95% confidence intervals (CIs) to assess associations of lobular involution and MBD with breast cancer risk were estimated using adjusted Cox proportional hazards model. All tests of statistical significance were two-sided. Results After adjustment for MBD, having no or partial lobular involution was associated with a higher risk of breast cancer than having complete involution (none: HR of breast cancer incidence = 2.62, 95% CI = 1.39 to 4.94; partial: HR of breast cancer incidence = 1.61, 95% CI = 1.03 to 2.53; Ptrend = .002). Similarly, after adjustment for involution, having dense breasts was associated with higher risk of breast cancer than having nondense breasts (for DY: HR of breast cancer incidence = 1.67, 95% CI = 1.03 to 2.73; for P2: HR of breast cancer incidence = 1.96, 95% CI = 1.20 to 3.21; for P1: HR of breast cancer incidence = 1.23, 95% CI = 0.67 to 2.26; Ptrend = .02). Having a combination of no involution and dense breasts was associated with higher risk of breast cancer than having complete involution and nondense breasts (HR of

  10. In Vivo Classification of Breast Masses Using Features Derived From Axial-Strain and Axial-Shear Images

    OpenAIRE

    Xu, Haiyan; Varghese, Tomy; Jiang, Jingfeng; Zagzebski, James A.

    2012-01-01

    Breast cancer is currently the second leading cause of cancer deaths in women. Early detection and accurate classification of suspicious masses as benign or malignant is important for arriving at an appropriate treatment plan. In this article, we present classification results for features extracted from ultrasound-based, axial-strain and axial-shear images of breast masses. The breast-mass stiffness contrast, size ratio, and a normalized axial-shear strain area feature are evaluated for the ...

  11. 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

  12. 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...

  13. Aided diagnosis methods of breast cancer based on machine learning

    Science.gov (United States)

    Zhao, Yue; Wang, Nian; Cui, Xiaoyu

    2017-08-01

    In the field of medicine, quickly and accurately determining whether the patient is malignant or benign is the key to treatment. In this paper, K-Nearest Neighbor, Linear Discriminant Analysis, Logistic Regression were applied to predict the classification of thyroid,Her-2,PR,ER,Ki67,metastasis and lymph nodes in breast cancer, in order to recognize the benign and malignant breast tumors and achieve the purpose of aided diagnosis of breast cancer. The results showed that the highest classification accuracy of LDA was 88.56%, while the classification effect of KNN and Logistic Regression were better than that of LDA, the best accuracy reached 96.30%.

  14. 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

  15. The lipid phenotype of breast cancer cells characterized by Raman microspectroscopy: towards a stratification of malignancy

    National Research Council Canada - National Science Library

    Nieva, Claudia; Marro, Monica; Santana-Codina, Naiara; Rao, Satish; Petrov, Dmitri; Sierra, Angels

    2012-01-01

    Although molecular classification brings interesting insights into breast cancer taxonomy, its implementation in daily clinical care is questionable because of its expense and the information supplied...

  16. 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.

  17. 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.

  18. 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

  19. 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 ...

  20. Immunohistochemical characterization of molecular classification of breast carcinoma and its relation with Ki-67

    OpenAIRE

    Shabnam Karangadan; Anuradha Ganesh Patil; Sainath Karnappa Andola

    2016-01-01

    Background: Breast carcinoma is the leading cause of cancer deaths in women. Molecular classification of breast carcinoma along with Ki-67 index is considered a better predictive factor for prognosis and treatment than routine histopathology. Aims: To classify breast carcinoma into the four molecular subtypes defined by immunohistochemical expression of triple markers: Luminal A (estrogen receptor/progesterone receptor-positive [ER/PR+] and human epidermal growth factor receptor 2 HER2/neu), ...

  1. 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...

  2. Classification of breast abnormalities using artificial neural network

    Science.gov (United States)

    Zaman, Nur Atiqah Kamarul; Rahman, Wan Eny Zarina Wan Abdul; Jumaat, Abdul Kadir; Yasiran, Siti Salmah

    2015-05-01

    Classification is the process of recognition, differentiation and categorizing objects into groups. Breast abnormalities are calcifications which are tumor markers that indicate the presence of cancer in the breast. The aims of this research are to classify the types of breast abnormalities using artificial neural network (ANN) classifier and to evaluate the accuracy performance using receiver operating characteristics (ROC) curve. The methods used in this research are ANN for breast abnormalities classifications and Canny edge detector as a feature extraction method. Previously the ANN classifier provides only the number of benign and malignant cases without providing information for specific cases. However in this research, the type of abnormality for each image can be obtained. The existing MIAS MiniMammographic database classified the mammogram images into three features only namely characteristic of background tissues, class of abnormality and radius of abnormality. However, in this research three other features are added-in. These three features are number of spots, area and shape of abnormalities. Lastly the performance of the ANN classifier is evaluated using ROC curve. It is found that ANN has an accuracy of 97.9% which is considered acceptable.

  3. Cancer classification: Mutual information, target network and strategies of therapy.

    Science.gov (United States)

    Hsu, Wen-Chin; Liu, Chan-Cheng; Chang, Fu; Chen, Su-Shing

    2012-10-02

    Cancer therapy is a challenging research area because side effects often occur in chemo and radiation therapy. We intend to study a multi-targets and multi-components design that will provide synergistic results to improve efficiency of cancer therapy. We have developed a general methodology, AMFES (Adaptive Multiple FEature Selection), for ranking and selecting important cancer biomarkers based on SVM (Support Vector Machine) classification. In particular, we exemplify this method by three datasets: a prostate cancer (three stages), a breast cancer (four subtypes), and another prostate cancer (normal vs. cancerous). Moreover, we have computed the target networks of these biomarkers as the signatures of the cancers with additional information (mutual information between biomarkers of the network). Then, we proposed a robust framework for synergistic therapy design approach which includes varies existing mechanisms. These methodologies were applied to three GEO datasets: GSE18655 (three prostate stages), GSE19536 (4 subtypes breast cancers) and GSE21036 (prostate cancer cells and normal cells) shown in. We selected 96 biomarkers for first prostate cancer dataset (three prostate stages), 72 for breast cancer (luminal A vs. luminal B), 68 for breast cancer (basal-like vs. normal-like), and 22 for another prostate cancer (cancerous vs. normal. In addition, we obtained statistically significant results of mutual information, which demonstrate that the dependencies among these biomarkers can be positive or negative. We proposed an efficient feature ranking and selection scheme, AMFES, to select an important subset from a large number of features for any cancer dataset. Thus, we obtained the signatures of these cancers by building their target networks. Finally, we proposed a robust framework of synergistic therapy for cancer patients. Our framework is not only supported by real GEO datasets but also aim to a multi-targets/multi-components drug design tool, which improves

  4. 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

  5. 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 ...

  6. 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.

  7. 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...

  8. Administrative data algorithms to identify second breast cancer events following early-stage invasive breast cancer.

    Science.gov (United States)

    Chubak, Jessica; Yu, Onchee; Pocobelli, Gaia; Lamerato, Lois; Webster, Joe; Prout, Marianne N; Ulcickas Yood, Marianne; Barlow, William E; Buist, Diana S M

    2012-06-20

    Studies of breast cancer outcomes rely on the identification of second breast cancer events (recurrences and second breast primary tumors). Cancer registries often do not capture recurrences, and chart abstraction can be infeasible or expensive. An alternative is using administrative health-care data to identify second breast cancer events; however, these algorithms must be validated against a gold standard. We developed algorithms using data from 3152 women in an integrated health-care system who were diagnosed with stage I or II breast cancer in 1993-2006. Medical record review served as the gold standard for second breast cancer events. Administrative data used in algorithm development included procedures, diagnoses, prescription fills, and cancer registry records. We randomly divided the cohort into training and testing samples and used a classification and regression tree analysis to build algorithms for classifying women as having or not having a second breast cancer event. We created several algorithms for researchers to use based on the relative importance of sensitivity, specificity, and positive predictive value (PPV) in future studies. The algorithm with high specificity and PPV had 89% sensitivity (95% confidence interval [CI] = 84% to 92%), 99% specificity (95% CI = 98% to 99%), and 90% PPV (95% CI = 86% to 94%); the high-sensitivity algorithm had 96% sensitivity (95% CI = 93% to 98%), 95% specificity (95% CI = 94% to 96%), and 74% PPV (95% CI = 68% to 78%). Algorithms based on administrative data can identify second breast cancer events with high sensitivity, specificity, and PPV. The algorithms presented here promote efficient outcomes research, allowing researchers to prioritize sensitivity, specificity, or PPV in identifying second breast cancer events.

  9. 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

  10. 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

  11. 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

  12. [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

  13. 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.

  14. 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

  15. 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.

  16. 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.

  17. Classification System for Identifying Women at Risk for Altered Partial Breast Irradiation Recommendations After Breast Magnetic Resonance Imaging

    Energy Technology Data Exchange (ETDEWEB)

    Kowalchik, Kristin V. [Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida (United States); Vallow, Laura A., E-mail: vallow.laura@mayo.edu [Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida (United States); McDonough, Michelle [Department of Radiology, Mayo Clinic, Jacksonville, Florida (United States); Thomas, Colleen S.; Heckman, Michael G. [Section of Biostatistics, Mayo Clinic, Jacksonville, Florida (United States); Peterson, Jennifer L. [Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida (United States); Adkisson, Cameron D. [Department of General Surgery, Mayo Clinic, Jacksonville, Florida (United States); Serago, Christopher [Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida (United States); McLaughlin, Sarah A. [Department of General Surgery, Mayo Clinic, Jacksonville, Florida (United States)

    2013-09-01

    Purpose: To study the utility of preoperative breast MRI for partial breast irradiation (PBI) patient selection, using multivariable analysis of significant risk factors to create a classification rule. Methods and Materials: Between 2002 and 2009, 712 women with newly diagnosed breast cancer underwent preoperative bilateral breast MRI at Mayo Clinic Florida. Of this cohort, 566 were retrospectively deemed eligible for PBI according to the National Surgical Adjuvant Breast and Bowel Project Protocol B-39 inclusion criteria using physical examination, mammogram, and/or ultrasound. Magnetic resonance images were then reviewed to determine their impact on patient eligibility. The patient and tumor characteristics were evaluated to determine risk factors for altered PBI eligibility after MRI and to create a classification rule. Results: Of the 566 patients initially eligible for PBI, 141 (25%) were found ineligible because of pathologically proven MRI findings. Magnetic resonance imaging detected additional ipsilateral breast cancer in 118 (21%). Of these, 62 (11%) had more extensive disease than originally noted before MRI, and 64 (11%) had multicentric disease. Contralateral breast cancer was detected in 28 (5%). Four characteristics were found to be significantly associated with PBI ineligibility after MRI on multivariable analysis: premenopausal status (P=.021), detection by palpation (P<.001), first-degree relative with a history of breast cancer (P=.033), and lobular histology (P=.002). Risk factors were assigned a score of 0-2. The risk of altered PBI eligibility from MRI based on number of risk factors was 0:18%; 1:22%; 2:42%; 3:65%. Conclusions: Preoperative bilateral breast MRI altered the PBI recommendations for 25% of women. Women who may undergo PBI should be considered for breast MRI, especially those with lobular histology or with 2 or more of the following risk factors: premenopausal, detection by palpation, and first-degree relative with a history of

  18. 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.

  19. 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.

  20. 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.

  1. Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer

    Science.gov (United States)

    Peláez-García, Alberto; Yébenes, Laura; Berjón, Alberto; Angulo, Antonia; Zamora, Pilar; Sánchez-Méndez, José Ignacio; Espinosa, Enrique; Redondo, Andrés; Heredia-Soto, Victoria; Mendiola, Marta; Feliú, Jaime

    2017-01-01

    Purpose To compare the concordance in risk classification between the EndoPredict and the MammaPrint scores obtained for the same cancer samples on 40 estrogen-receptor positive/HER2-negative breast carcinomas. Methods Formalin-fixed, paraffin-embedded invasive breast carcinoma tissues that were previously analyzed with MammaPrint as part of routine care of the patients, and were classified as high-risk (20 patients) and low-risk (20 patients), were selected to be analyzed by the EndoPredict assay, a second generation gene expression test that combines expression of 8 genes (EP score) with two clinicopathological variables (tumor size and nodal status, EPclin score). Results The EP score classified 15 patients as low-risk and 25 patients as high-risk. EPclin re-classified 5 of the 25 EP high-risk patients into low-risk, resulting in a total of 20 high-risk and 20 low-risk tumors. EP score and MammaPrint score were significantly correlated (p = 0.008). Twelve of 20 samples classified as low-risk by MammaPrint were also low-risk by EP score (60%). 17 of 20 MammaPrint high-risk tumors were also high-risk by EP score. The overall concordance between EP score and MammaPrint was 72.5% (κ = 0.45, (95% CI, 0.182 to 0.718)). EPclin score also correlated with MammaPrint results (p = 0.004). Discrepancies between both tests occurred in 10 cases: 5 MammaPrint low-risk patients were classified as EPclin high-risk and 5 high-risk MammaPrint were classified as low-risk by EPclin and overall concordance of 75% (κ = 0.5, (95% CI, 0.232 to 0.768)). Conclusions This pilot study demonstrates a limited concordance between MammaPrint and EndoPredict. Differences in results could be explained by the inclusion of different gene sets in each platform, the use of different methodology, and the inclusion of clinicopathological parameters, such as tumor size and nodal status, in the EndoPredict test. PMID:28886093

  2. Factors determining esthetic outcome after breast cancer conservative treatment

    DEFF Research Database (Denmark)

    Cardoso, Maria J; Cardoso, Jaime; Santos, Ana C

    2007-01-01

    The aim of this study was to evaluate the factors that determine esthetic outcome after breast cancer conservative treatment, based on a consensual classification obtained with an international consensus panel. Photographs were taken from 120 women submitted to conservative unilateral breast canc...

  3. 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.

  4. 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

  5. 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.

  6. 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

  7. 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.

  8. 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 ...

  9. Overdiagnosis in breast cancer screening

    DEFF Research Database (Denmark)

    Lynge, Elsebeth; Beau, Anna-Belle; Christiansen, Peer

    2017-01-01

    Overdiagnosis in breast cancer screening is an important issue. A recent study from Denmark concluded that one in three breast cancers diagnosed in screening areas in women aged 50-69 years were overdiagnosed. The purpose of this short communication was to disentangle the study's methodology...

  10. 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...

  11. 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 ...

  12. 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.

  13. Classification of breast microcalcifications using spectral mammography

    Science.gov (United States)

    Ghammraoui, B.; Glick, S. J.

    2017-03-01

    Purpose: To investigate the potential of spectral mammography to distinguish between type I calcifications, consisting of calcium oxalate dihydrate or weddellite compounds that are more often associated with benign lesions, and type II calcifications containing hydroxyapatite which are predominantly associated with malignant tumors. Methods: Using a ray tracing algorithm, we simulated the total number of x-ray photons recorded by the detector at one pixel from a single pencil-beam projection through a breast of 50/50 (adipose/glandular) tissues with inserted microcalcifications of different types and sizes. Material decomposition using two energy bins was then applied to characterize the simulated calcifications into hydroxyapatite and weddellite using maximumlikelihood estimation, taking into account the polychromatic source, the detector response function and the energy dependent attenuation. Results: Simulation tests were carried out for different doses and calcification sizes for multiple realizations. The results were summarized using receiver operating characteristic (ROC) analysis with the area under the curve (AUC) taken as an overall indicator of discrimination performance and showing high AUC values up to 0.99. Conclusion: Our simulation results obtained for a uniform breast imaging phantom indicate that spectral mammography using two energy bins has the potential to be used as a non-invasive method for discrimination between type I and type II microcalcifications to improve early breast cancer diagnosis and reduce the number of unnecessary breast biopsies.

  14. Decline in breast cancer mortality

    DEFF Research Database (Denmark)

    Njor, Sisse Helle; Schwartz, Walter; Blichert-Toft, Mogens

    2015-01-01

    OBJECTIVES: When estimating the decline in breast cancer mortality attributable to screening, the challenge is to provide valid comparison groups and to distinguish the screening effect from other effects. In Funen, Denmark, multidisciplinary breast cancer management teams started before screening...... was introduced; both activities came later in the rest of Denmark. Because Denmark had national protocols for breast cancer treatment, but hardly any opportunistic screening, Funen formed a "natural experiment", providing valid comparison groups and enabling the separation of the effect of screening from other...... factors. METHODS: Using Poisson regression we compared the observed breast cancer mortality rate in Funen after implementation of screening with the expected rate without screening. The latter was estimated from breast cancer mortality in the rest of Denmark controlled for historical differences between...

  15. Unemployment among breast cancer survivors

    DEFF Research Database (Denmark)

    Carlsen, Kathrine; Ewertz, Marianne; Dalton, Susanne Oksbjerg

    2014-01-01

    AIM: Though about 20% of working age breast cancer survivors do not return to work after treatment, few studies have addressed risk factors for unemployment. The majority of studies on occupational consequences of breast cancer focus on non-employment, which is a mixture of sickness absence......, unemployment, retirement pensions and other reasons for not working. Unemployment in combination with breast cancer may represent a particular challenge for these women. The aim of the present study is therefore to analyze the risk for unemployment in the years following diagnosis and treatment for breast...... cancer. METHOD: This study included 14,750 women diagnosed with breast cancer in Denmark 2001-2009 identified through a population-based clinical database and linked with information from Danish administrative population based registers for information on labour market affiliation, socio...

  16. 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...

  17. 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

  18. 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...

  19. 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.

  20. 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

  1. Accurate molecular classification of cancer using simple rules

    Directory of Open Access Journals (Sweden)

    Gotoh Osamu

    2009-10-01

    Full Text Available Abstract Background One intractable problem with using microarray data analysis for cancer classification is how to reduce the extremely high-dimensionality gene feature data to remove the effects of noise. Feature selection is often used to address this problem by selecting informative genes from among thousands or tens of thousands of genes. However, most of the existing methods of microarray-based cancer classification utilize too many genes to achieve accurate classification, which often hampers the interpretability of the models. For a better understanding of the classification results, it is desirable to develop simpler rule-based models with as few marker genes as possible. Methods We screened a small number of informative single genes and gene pairs on the basis of their depended degrees proposed in rough sets. Applying the decision rules induced by the selected genes or gene pairs, we constructed cancer classifiers. We tested the efficacy of the classifiers by leave-one-out cross-validation (LOOCV of training sets and classification of independent test sets. Results We applied our methods to five cancerous gene expression datasets: leukemia (acute lymphoblastic leukemia [ALL] vs. acute myeloid leukemia [AML], lung cancer, prostate cancer, breast cancer, and leukemia (ALL vs. mixed-lineage leukemia [MLL] vs. AML. Accurate classification outcomes were obtained by utilizing just one or two genes. Some genes that correlated closely with the pathogenesis of relevant cancers were identified. In terms of both classification performance and algorithm simplicity, our approach outperformed or at least matched existing methods. Conclusion In cancerous gene expression datasets, a small number of genes, even one or two if selected correctly, is capable of achieving an ideal cancer classification effect. This finding also means that very simple rules may perform well for cancerous class prediction.

  2. 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

  3. 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

  4. 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

  5. Can Exosomes Induced by Breast Involution Be Markers for the Poor Prognosis and Prevention of Postpartum Breast Cancer

    Science.gov (United States)

    2015-07-01

    Hodgkin’s lymphoma (4,100), cervical (12,000), and myeloid leukemia (10,500). An identifiable risk for breast cancer in younger women is a recent...Young Women’s Breast Cancer, Exosomes, postpartum breast cancer, immune suppression 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18...and alteration of tumor morphology and apoptosis rates in 3D culture models. Months 6-18 Year 2 RESEARCH ACCOMPLISHMENT: We are now finishing the

  6. 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

  7. 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.

  8. Rare Breast Cancer Subtypes: Histological, Molecular, and Clinical Peculiarities

    Science.gov (United States)

    Dieci, Maria Vittoria; Orvieto, Enrico; Dominici, Massimo; Conte, PierFranco

    2014-01-01

    Breast cancer encompasses a collection of different diseases characterized by different biological and pathological features, clinical presentation, response to treatments, clinical behavior, and outcome. On the basis of cell morphology, growth, and architecture patterns, breast cancer can be classified in up to 21 distinct histological types. Breast cancer special types, including the classic lobular invasive carcinoma, represent 25% of all breast cancers. The histological diversity of breast carcinomas has relevant prognostic implications. Indeed, the rare breast cancer group includes subtypes with very different prognoses, ranging from the tubular carcinoma, associated with an indolent clinical course, to metaplastic cancer, whose outcome is generally unfavorable. New approaches based on gene expression profiling allow the identification of molecularly defined breast cancer classes, with distinct biological features and clinical behavior. In clinical practice, immunohistochemical classification based on the expression of human epidermal growth factor receptor 2 and Ki67 is applied as a surrogate of the intrinsic molecular subtypes. However, the identification of intrinsic molecular subtypes were almost completely limited to the study of ductal invasive breast cancer. Moreover, some good-prognosis triple-negative histotypes, on the basis of gene expression profiling, can be classified among the poor-prognosis group. Therefore, histopathological classification remains a crucial component of breast cancer diagnosis. Special histologies can be very rare, and the majority of information on outcome and treatments derives from small series and case reports. As a consequence, clear recommendations about clinical management are still lacking. In this review, we summarize current knowledge about rare breast cancer histologies. PMID:24969162

  9. 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.

  10. tRNAs as Biomarkers and Regulators for Breast Cancer

    Science.gov (United States)

    2010-08-01

    metastasized to bones). Cell Line ER PgR HER2 Tumor Type Tissue Source Tumorigenic Tumor Classification MCF10A - - Fibrocystic Disease Mammary...TITLE: tRNAs as Biomarkers and Regulators for Breast Cancer PRINCIPAL INVESTIGATOR: Tao Pan, Ph.D...tRNAs as Biomarkers and Regulators for Breast Cancer 5a. CONTRACT NUMBER 5b. GRANT NUMBER W81XWH-07-1-0595 5c. PROGRAM ELEMENT NUMBER

  11. 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.

  12. 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.

  13. A Hierarchical Classification Method for Breast Tumor Detection

    Directory of Open Access Journals (Sweden)

    Mojtaba Mohammadpoor

    2016-12-01

    Full Text Available Introduction Breast cancer is the second cause of mortality among women. Early detection of it can enhance the chance of survival. Screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. Computer-aided diagnosis can help physicians make a more accurate diagnosis. Materials and Methods Regarding the importance of separating normal and abnormal cases in screening systems, a hierarchical classification system is defined in this paper. The proposed system is including two Adaptive Boosting (AdaBoost classifiers, the first classifier separates the candidate images into two groups of normal and abnormal. The second classifier is applied on the abnormal group of the previous stage and divides them into benign and malignant categories. The proposed algorithm is evaluated by applying it on publicly available  Mammographic Image Analysis Society (MIAS dataset. 288 images of the database are used, including 208  normal and 80 abnormal images. 47 images of the abnormal images showed benign lesion and 33 of them had malignant lesion.  Results Applying the proposed algorithm on MIAS database indicates its advantage compared to previous methods. A major improvement occurred in the first classification stage. Specificity, sensitivity, and accuracy of the first classifier are obtained as 100%, 95.83%, and 97.91%, respectively. These values are calculated as 75% in the second stage   Conclusion A hierarchical classification method for breast cancer detection is developed in this paper. Regarding the importance of separating normal and abnormal cases in screening systems, the first classifier is devoted to separate normal and tumorous cases. Experimental results on available database shown that the performance of this step is adequately high (100% specificity. The second layer is designed to detect tumor type.  The accuracy in the second layer is obtained 75%.

  14. 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.

  15. 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.

  16. 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.

  17. 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. ...

  18. 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 ...

  19. 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 ...

  20. 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...

  1. 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.

  2. 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.

  3. 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

  4. Could ultrasonic elastography help the diagnosis of small ({<=}2 cm) breast cancer with the usage of sonographic BI-RADS classification?

    Energy Technology Data Exchange (ETDEWEB)

    Zhi, Hui, E-mail: kendy181hui@yahoo.com.cn [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Xiao, Xiao-yun, E-mail: papayaxxy@163.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Ou, Bing, E-mail: oubing77@163.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Zhong, Wen-jing, E-mail: zhongwj7111@126.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Zhao, Zi-zhuo, E-mail: solo_zzz@126.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Zhao, Xin-bao, E-mail: zxb8166@126.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Yang, Hai-yun, E-mail: haiyun1972@sohu.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Luo, Bao-ming, E-mail: baomingluo2005@126.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China)

    2012-11-15

    Objectives: To evaluate the additive value of ultrasound strain elastography (USE) to BI-RADS for the differentiation of benign and malignant breast small lesions. Methods: Breast masses ({<=}2 cm) with histological diagnosis examined by ultrasonography and USE in our department from April 2004 to December 2009 were reviewed. Conventional B-mode ultrasound findings were classified according to the BI-RADS classification. USE findings were classified according to the 5-point scale. Histological diagnosis was used as the reference standard. Results: 401 (246 benign (61.3%), 155 malignant (38.7%)) from 370 consecutive patients were included in the study. Sensitivity and specificity were 90.3%, 68.3% for BI-RADS; 72.3%, 91.9% for USE. The sensitivity of BI-RADS was better than that of USE (P < 0.05), while the specificity of USE was better than that of BI-RADS (P < 0.05). A revised BI-RADS combined with USE results was proposed in this study. Sensitivity and specificity were 83.9% and 87.8% for revised BI-RADS. The diagnostic performance of revised BI-RADS was better than BI-RADS (P < 0.05). Conclusions: USE could give BI-RADS some help in the differentiation of benign and malignant breast small lesions. The addition of elastography to BI-RADS could improve the diagnostic performance in <2 cm lesions.

  5. 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.

  6. Validity of the recorded International Classification of Diseases, 10th edition diagnoses codes of bone metastases and skeletal-related events in breast and prostate cancer patients in the Danish National Registry of Patients

    Directory of Open Access Journals (Sweden)

    Annette Østergaard Jensen

    2009-07-01

    Full Text Available Annette Østergaard Jensen1, Mette Nørgaard1, Mellissa Yong2, Jon P Fryzek2, Henrik Toft Sørensen11Department of Clinical Epidemiology, Aarhus University hospital, Århus, Denmark; 2Global Epidemiology, Amgen inc., Thousands Oaks, CA, USAObjective: The clinical history of bone metastases and skeletal-related events (SREs secondary to cancers is not well understood. In support of studies of the natural history of bone metastases and SREs in Danish prostate and breast cancer patients, we estimated the sensitivity and specificity of hospital diagnoses for bone metastases and SREs (ie, radiation therapy to the bone, pathological or osteoporotic fractures, spinal cord compression and surgery to the bone in a nationwide medical registry in Denmark.Study design and setting: In North Jutland County, Denmark, we randomly sampled 100 patients with primary prostate cancer and 100 patients with primary breast cancer diagnoses from the National Registry of Patients (NRP, during the period January 1st, 2000 to December 31st, 2000 and followed them for up to five years after their cancer diagnosis. We used information from medical chart reviews as the reference for estimating sensitivity, and specificity of the NRP International Classification of Diseases, 10th edition (ICD-10 coding for bone metastases and SRE diagnoses. Results: For prostate cancer, the overall sensitivity of bone metastases or SRE coding in the NRP was 0.54 (95% confidence interval [CI]: 0.39–0.69, and the specificity was 0.96 (95% CI: 0.87–1.00. For breast cancer, the overall sensitivity of bone metastases or SRE coding in the NRP was 0.58 (95% CI: 0.34–0.80, and the specificity was 0.95 (95% CI: 0.88–0.99. Conclusion: We measured the validity of ICD-10 coding in the Danish NRP for bone metastases and SREs in prostate and breast cancer patients and found it has adequate sensitivity and high specificity. The NRP remains a valuable tool for clinical epidemiological studies of bone

  7. 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 ...

  8. Tissue specific DNA methylation in normal human breast epithelium and in breast cancer.

    Directory of Open Access Journals (Sweden)

    Ayelet Avraham

    Full Text Available Cancer is a heterogeneous and tissue-specific disease. Thus, the tissue of origin reflects on the natural history of the disease and dictates the therapeutic approach. It is suggested that tissue differentiation, mediated mostly by epigenetic modifications, could guide tissue-specific susceptibility and protective mechanisms against cancer. Here we studied breast specific methylation in purified normal epithelium and its reflection in breast cancers. We established genome wide methylation profiles of various normal epithelial tissues and identified 110 genes that were differentially methylated in normal breast epithelium. A number of these genes also showed methylation alterations in breast cancers. We elaborated on one of them, TRIM29 (ATDC, and showed that its promoter was hypo-methylated in normal breast epithelium and heavily methylated in other normal epithelial tissues. Moreover, in breast carcinomas methylation increased and expression decreased whereas the reverse was noted for multiple other carcinomas. Interestingly, TRIM29 regulation in breast tumors clustered according to the PAM50 classification. Thus, it was repressed in the estrogen receptor positive tumors, particularly in the more proliferative luminal B subtype. This goes in line with previous reports indicating tumor suppressive activity of TRIM29 in estrogen receptor positive luminal breast cells in contrast to oncogenic function in pancreatic and lung cancers. Overall, these findings emphasize the linkage between breast specific epigenetic regulation and tissue specificity of cancer.

  9. Wavelets for computer-aided breast cancer diagnosis

    Science.gov (United States)

    Myers, Lemuel R., Jr.; Kocur, Catherine M.; Rogers, Steven K.; Eisenbies, Chris; 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, used as a `second opinion' to radiologists, will aid in decreasing the number of false readings of mammograms. A novel feature extraction method is presented that provides increased classification power. Wavelets, previously only exploited for their segmentation benefits, are explored as features for classification. Daubechies4, Daubechies20, and biorthogonal wavelets are each investigated. Applied to 94 difficult-to- diagnose digitized microcalcification cases, performance is 74 percent correct classifications. Feature selection techniques are presented which further improve wavelet classification performance to 88 percent correct classification.

  10. 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 ...

  11. 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.

  12. 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 ...

  13. 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...

  14. 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...

  15. 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.

  16. 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.

  17. 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...

  18. 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...

  19. Frequential versus spatial colour textons for breast TMA classification.

    Science.gov (United States)

    Fernández-Carrobles, M Milagro; Bueno, Gloria; Déniz, Oscar; Salido, Jesús; García-Rojo, Marcial; Gonzández-López, Lucía

    2015-06-01

    Advances in digital pathology are generating huge volumes of whole slide (WSI) and tissue microarray images (TMA) which are providing new insights into the causes of cancer. The challenge is to extract and process effectively all the information in order to characterize all the heterogeneous tissue-derived data. This study aims to identify an optimal set of features that best separates different classes in breast TMA. These classes are: stroma, adipose tissue, benign and benign anomalous structures and ductal and lobular carcinomas. To this end, we propose an exhaustive assessment on the utility of textons and colour for automatic classification of breast TMA. Frequential and spatial texton maps from eight different colour models were extracted and compared. Then, in a novel way, the TMA is characterized by the 1st and 2nd order Haralick statistical descriptors obtained from the texton maps with a total of 241 × 8 features for each original RGB image. Subsequently, a feature selection process is performed to remove redundant information and therefore to reduce the dimensionality of the feature vector. Three methods were evaluated: linear discriminant analysis, correlation and sequential forward search. Finally, an extended bank of classifiers composed of six techniques was compared, but only three of them could significantly improve accuracy rates: Fisher, Bagging Trees and AdaBoost. Our results reveal that the combination of different colour models applied to spatial texton maps provides the most efficient representation of the breast TMA. Specifically, we found that the best colour model combination is Hb, Luv and SCT for all classifiers and the classifier that performs best for all colour model combinations is the AdaBoost. On a database comprising 628 TMA images, classification yields an accuracy of 98.1% and a precision of 96.2% with a total of 316 features on spatial textons maps. Copyright © 2014 Elsevier Ltd. All rights reserved.

  20. 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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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...

  6. Automated detection of breast cancer in resected specimens with fluorescence lifetime imaging

    Science.gov (United States)

    Phipps, Jennifer E.; Gorpas, Dimitris; Unger, Jakob; Darrow, Morgan; Bold, Richard J.; Marcu, Laura

    2018-01-01

    Re-excision rates for breast cancer lumpectomy procedures are currently nearly 25% due to surgeons relying on inaccurate or incomplete methods of evaluating specimen margins. The objective of this study was to determine if cancer could be automatically detected in breast specimens from mastectomy and lumpectomy procedures by a classification algorithm that incorporated parameters derived from fluorescence lifetime imaging (FLIm). This study generated a database of co-registered histologic sections and FLIm data from breast cancer specimens (N  =  20) and a support vector machine (SVM) classification algorithm able to automatically detect cancerous, fibrous, and adipose breast tissue. Classification accuracies were greater than 97% for automated detection of cancerous, fibrous, and adipose tissue from breast cancer specimens. The classification worked equally well for specimens scanned by hand or with a mechanical stage, demonstrating that the system could be used during surgery or on excised specimens. The ability of this technique to simply discriminate between cancerous and normal breast tissue, in particular to distinguish fibrous breast tissue from tumor, which is notoriously challenging for optical techniques, leads to the conclusion that FLIm has great potential to assess breast cancer margins. Identification of positive margins before waiting for complete histologic analysis could significantly reduce breast cancer re-excision rates.

  7. NIM: A Node Influence Based Method for Cancer Classification

    Directory of Open Access Journals (Sweden)

    Yiwen Wang

    2014-01-01

    Full Text Available The classification of different cancer types owns great significance in the medical field. However, the great majority of existing cancer classification methods are clinical-based and have relatively weak diagnostic ability. With the rapid development of gene expression technology, it is able to classify different kinds of cancers using DNA microarray. Our main idea is to confront the problem of cancer classification using gene expression data from a graph-based view. Based on a new node influence model we proposed, this paper presents a novel high accuracy method for cancer classification, which is composed of four parts: the first is to calculate the similarity matrix of all samples, the second is to compute the node influence of training samples, the third is to obtain the similarity between every test sample and each class using weighted sum of node influence and similarity matrix, and the last is to classify each test sample based on its similarity between every class. The data sets used in our experiments are breast cancer, central nervous system, colon tumor, prostate cancer, acute lymphoblastic leukemia, and lung cancer. experimental results showed that our node influence based method (NIM is more efficient and robust than the support vector machine, K-nearest neighbor, C4.5, naive Bayes, and CART.

  8. 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...

  9. 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

  10. [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.

  11. 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.

  12. 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.

  13. 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...

  14. Do serum biomarkers really measure breast cancer?

    Directory of Open Access Journals (Sweden)

    Yurkovetsky Zoya

    2009-05-01

    Full Text Available Abstract Background Because screening mammography for breast cancer is less effective for premenopausal women, we investigated the feasibility of a diagnostic blood test using serum proteins. Methods This study used a set of 98 serum proteins and chose diagnostically relevant subsets via various feature-selection techniques. Because of significant noise in the data set, we applied iterated Bayesian model averaging to account for model selection uncertainty and to improve generalization performance. We assessed generalization performance using leave-one-out cross-validation (LOOCV and receiver operating characteristic (ROC curve analysis. Results The classifiers were able to distinguish normal tissue from breast cancer with a classification performance of AUC = 0.82 ± 0.04 with the proteins MIF, MMP-9, and MPO. The classifiers distinguished normal tissue from benign lesions similarly at AUC = 0.80 ± 0.05. However, the serum proteins of benign and malignant lesions were indistinguishable (AUC = 0.55 ± 0.06. The classification tasks of normal vs. cancer and normal vs. benign selected the same top feature: MIF, which suggests that the biomarkers indicated inflammatory response rather than cancer. Conclusion Overall, the selected serum proteins showed moderate ability for detecting lesions. However, they are probably more indicative of secondary effects such as inflammation rather than specific for malignancy.

  15. Pregnancy associated breast cancer: an institutional experience.

    Science.gov (United States)

    Gogia, A; Deo, S V S; Shukla, N K; Mohanti, B K; Raina, V

    2014-01-01

    Pregnancy-associated breast cancer (PABC) has been defined as breast cancer diagnosed during pregnancy or within 1 year of delivery. There is a paucity of data on PABC from India. The aim of our study was to assess the clinical-pathological parameters and outcome of PABC at Institute Rotary Cancer Hospital, All India Institute of Medical Sciences. We screened approximately 3,750 cases registered from January 2001 to December 2012 and found 26 cases of PABC. Patients' records were obtained from the computer database using International Classification of Diseases code (C-50). The median age was 26 years (range 20-35). The median duration of symptoms was 11.5 months. The American Joint Committee on Cancer stage distribution was Stage I - 1, Stage II - 3, Stage III - 14 and in Stage IV - 8 patients. Median clinical tumor size is 5.5 cm. Four patients were presented with the inflammatory breast cancer. Positive family history was elicited in three patients. Twenty-one patients were diagnosed after delivery, two patients in the first trimester, two patients in the second trimester and three patients in the third trimester. Estrogen receptor (ER), progesterone receptor (PR) negativity and human epidermal growth factor receptor 2 (HER2/neu) positivity was 56% and 38%, respectively. Nearly, 40% of patients had a high-grade tumor and 70% had pathological node positivity. With a median follow-up of 33 months, 3 years relapse free survival and overall survival was 40% and 50% respectively. Bone was the most common site for systemic relapse. PABC constituted 0.7% of all breast cancer patients. It is associated with advanced stage at presentation. Half of them were ER/PR negative and one-third was HER2/neu positive.

  16. 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)

  17. 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

  18. 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 ...

  19. 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.

  20. 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 ...

  1. 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.

  2. 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...

  3. 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...

  4. 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...

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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.

  10. 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

  11. 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...

  12. One versus Two Breast Density Measures to Predict 5- and 10-Year Breast Cancer Risk.

    Science.gov (United States)

    Kerlikowske, Karla; Gard, Charlotte C; Sprague, Brian L; Tice, Jeffrey A; Miglioretti, Diana L

    2015-06-01

    One measure of Breast Imaging Reporting and Data System (BI-RADS) breast density improves 5-year breast cancer risk prediction, but the value of sequential measures is unknown. We determined whether two BI-RADS density measures improve the predictive accuracy of the Breast Cancer Surveillance Consortium 5-year risk model compared with one measure. We included 722,654 women of ages 35 to 74 years with two mammograms with BI-RADS density measures on average 1.8 years apart; 13,715 developed invasive breast cancer. We used Cox regression to estimate the relative hazards of breast cancer for age, race/ethnicity, family history of breast cancer, history of breast biopsy, and one or two density measures. We developed a risk prediction model by combining these estimates with 2000-2010 Surveillance, Epidemiology, and End Results incidence and 2010 vital statistics for competing risk of death. The two-measure density model had marginally greater discriminatory accuracy than the one-measure model (AUC, 0.640 vs. 0.635). Of 18.6% of women (134,404 of 722,654) who decreased density categories, 15.4% (20,741 of 134,404) of women whose density decreased from heterogeneously or extremely dense to a lower density category with one other risk factor had a clinically meaningful increase in 5-year risk from breast cancer risk and improves risk classification for women with risk factors and a decrease in density. A two-density model should be considered for women whose density decreases when calculating breast cancer risk. ©2015 American Association for Cancer Research.

  13. 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 ...

  14. 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

  15. 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…

  16. 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 ...

  17. 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.

  18. 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

  19. 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

  20. [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.

  1. 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.

  2. 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.

  3. 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.

  4. Molecular Imaging in Breast Cancer: From Whole-Body PET/CT to Dedicated Breast PET

    Directory of Open Access Journals (Sweden)

    B. B. Koolen

    2012-01-01

    Full Text Available Positron emission tomography (PET, with or without integrated computed tomography (CT, using 18F-fluorodeoxyglucose (FDG is based on the principle of elevated glucose metabolism in malignant tumors, and its use in breast cancer patients is frequently being investigated. It has been shown useful for classification, staging, and response monitoring, both in primary and recurrent disease. However, because of the partial volume effect and limited resolution of most whole-body PET scanners, sensitivity for the visualization of small tumors is generally low. To improve the detection and quantification of primary breast tumors with FDG PET, several dedicated breast PET devices have been developed. In this nonsystematic review, we shortly summarize the value of whole-body PET/CT in breast cancer and provide an overview of currently available dedicated breast PETs.

  5. Pattern of skeletal metastases from breast cancer in an Asian ...

    African Journals Online (AJOL)

    Background: Breast cancer is a disease that is prevalent world wide and frequently metastasis to the bones . ... designed for the collection of patients' data for evaluation, which was then entered on database and analyzed on the Statistical Package for Social Sciences (SPSS). Patient were staged using TNM Classification.

  6. Automated Method for Analysis of Mammographic Breast Density - A Technique for Breast Cancer Risk Estimation

    Science.gov (United States)

    2006-07-01

    tion. The data set comprised the four- view craniocaudal (CC) and medio - lateral oblique (MLO) mammograms obtained in 65 patients who were ran- domly... Mexico . Radiology 1998;209:511–518. 4. Boyd NF, Byng RA, Jong EK, et al. Quantita- tive classification of mammographic densi- ties and breast cancer risk

  7. One vs. Two Breast Density Measures to Predict 5- and 10- Year Breast Cancer Risk

    Science.gov (United States)

    Kerlikowske, Karla; Gard, Charlotte C.; Sprague, Brian L.; Tice, Jeffrey A.; Miglioretti, Diana L.

    2015-01-01

    Background One measure of Breast Imaging Reporting and Data System (BI-RADS) breast density improves 5-year breast cancer risk prediction, but the value of sequential measures is unknown. We determined if two BI-RADS density measures improves the predictive accuracy of the Breast Cancer Surveillance Consortium 5-year risk model compared to one measure. Methods We included 722,654 women aged 35–74 years with two mammograms with BI-RADS density measures on average 1.8 years apart; 13,715 developed invasive breast cancer. We used Cox regression to estimate the relative hazards of breast cancer for age, race/ethnicity, family history of breast cancer, history of breast biopsy, and one or two density measures. We developed a risk prediction model by combining these estimates with 2000–2010 Surveillance, Epidemiology, and End Results incidence and 2010 vital statistics for competing risk of death. Results The two-measure density model had marginally greater discriminatory accuracy than the one-measure model (AUC=0.640 vs. 0.635). Of 18.6% of women (134,404/722,654) who decreased density categories, 15.4% (20,741/134,404) of women whose density decreased from heterogeneously or extremely dense to a lower density category with one other risk factor had a clinically meaningful increase in 5-year risk from breast cancer risk and improves risk classification for women with risk factors and a decrease in density. Impact A two-density model should be considered for women whose density decreases when calculating breast cancer risk. PMID:25824444

  8. 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.

  9. 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.

  10. 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

  11. Classification of breast tissue for protocols development in mammography exam;Classificacao dos tecidos mamarios para elaboracao de protocolos em exames de mamografia

    Energy Technology Data Exchange (ETDEWEB)

    Teixeira, M. Ines; Caldas, Linda V.E. [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil); Chohfi, Adriana C.S.; Figueiredo, Zenaide A. [Universidade Nove de Julho (UNINOVE), Sao Paulo, SP (Brazil). Dept. da Saude. Radiologia Medica

    2009-07-01

    For accomplishment of a mammogram should be considered several factors such as equipment used and the classification of breast cancer patients. The density of the breast is different of patient to patient, thus making it difficult many precocious diagnostic of breast cancer. There is a significant variation in the breast to be radiographed, depending on several factors presented in the breast tissue of breast prosthesis with or without breasts or with implants. This work had as objective main to make a survey of the factors that influence in the classification of mammary fabrics. With this survey and classification it can be better adjusted the protocols which will be more efficient in the mammography exam, preventing excess of radiation dose, stress for the patient, economy of raw material, control of the quality and rapidity in the process of image attainment. (author)

  12. 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...

  13. 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.

  14. 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...

  15. 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....

  16. 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.

  17. 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.

  18. 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.” ...

  19. 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

  20. 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

  1. 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

  2. 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...

  3. 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...

  4. 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.

  5. 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.

  6. 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

  7. Mammographic classification of breast lesions amongst women in ...

    African Journals Online (AJOL)

    BA, Teresa LF and Sonia IS. Screening of Breast Lesions: a Comparative Study between Mammography, B-mode. Ultrasonography, Sonoelastography and histological re- sults. Radiologia Brasileira 2013; 46(4): 78-99. 21. Frank NG Jnr, Akwasi A, Sebastian E, Saanid MA,. Samuel D. Pattern of Breast Cancer Distribution in ...

  8. 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

  9. 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...

  10. 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

  11. 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....

  12. Baseline mammographic breast density and the risk of invasive breast cancer in postmenopausal women participating in the NSABP Study of Tamoxifen and Raloxifene (STAR)

    Science.gov (United States)

    Cecchini, Reena S.; Costantino, Joseph P.; Cauley, Jane A.; Cronin, Walter M.; Wickerham, D. Lawrence; Bandos, Hanna; Weissfeld, Joel L.; Wolmark, Norman

    2012-01-01

    Mammographic breast density is an established risk factor for breast cancer. However, results are inconclusive regarding its use in risk prediction models. The current study evaluated 13,409 postmenopausal participants in the NSABP Study of Tamoxifen and Raloxifene. A measure of breast density as reported on the entry mammogram report was extracted and categorized according to The American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) classifications. An increased risk of invasive breast cancer was associated with higher mammographic breast density (Pbreast density and Gail score. Breast density was also significant when added to an abbreviated model tailored for estrogen receptor-positive breast cancers (P=0.02). In this study, high BI-RADS breast density was significantly associated with increased breast cancer risk when considered in conjunction with Gail score but provided only slight improvement to the Gail score for predicting the incidence of invasive breast cancer. The BI-RADS breast composition classification system is a quick and readily available method for assessing breast density for risk prediction evaluations; however, its addition to the Gail model does not appear to provide substantial predictability improvements in this population of postmenopausal healthy women at increased risk for breast cancer. PMID:23060039

  13. 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

  14. 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...

  15. The Anti-Cancer Effect of Polyphenols against Breast Cancer and Cancer Stem Cells: Molecular Mechanisms

    Directory of Open Access Journals (Sweden)

    Ahmed Abdal Dayem

    2016-09-01

    Full Text Available The high incidence of breast cancer in developed and developing countries, and its correlation to cancer-related deaths, has prompted concerned scientists to discover novel alternatives to deal with this challenge. In this review, we will provide a brief overview of polyphenol structures and classifications, as well as on the carcinogenic process. The biology of breast cancer cells will also be discussed. The molecular mechanisms involved in the anti-cancer activities of numerous polyphenols, against a wide range of breast cancer cells, in vitro and in vivo, will be explained in detail. The interplay between autophagy and apoptosis in the anti-cancer activity of polyphenols will also be highlighted. In addition, the potential of polyphenols to target cancer stem cells (CSCs via various mechanisms will be explained. Recently, the use of natural products as chemotherapeutics and chemopreventive drugs to overcome the side effects and resistance that arise from using chemical-based agents has garnered the attention of the scientific community. Polyphenol research is considered a promising field in the treatment and prevention of breast cancer.

  16. 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.

  17. 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...

  18. 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 ...

  19. 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 ...

  20. 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

  1. 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.

  2. 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

  3. 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

  4. 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-.

  5. 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 ...

  6. 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.

  7. 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.

  8. AXIAL-SHEAR STRAIN ELASTOGRAPHY FOR BREAST LESION CLASSIFICATION: FURTHER RESULTS FROM IN VIVO DATA

    OpenAIRE

    Thittai, Arun K.; Yamal, Jose-Miguel; Mobbs, Louise M; Kraemer-Chant, Christina M.; Chekuri, Srinivasa; Garra, Brian S.; Ophir, Jonathan

    2011-01-01

    The purpose of this work was to investigate the potential of the normalized axial-shear strain area (NASSA) feature, derived from axial-shear strain elastograms (ASSE), for breast lesion classification of fibroadenoma and cancer. This study consisted of previously-acquired in vivo digital RF-data of breast lesions. A total of 33 biopsy-proven malignant tumors and 30 fibroadenoma cases were included in the study that involved 3 observers blinded to the original BIRADS®-ultrasound scores. The o...

  9. Development and comparative assessment of Raman spectroscopic classification algorithms for lesion discrimination in stereotactic breast biopsies with microcalcifications

    Science.gov (United States)

    Dingari, Narahara Chari; Barman, Ishan; Saha, Anushree; McGee, Sasha; Galindo, Luis H.; Liu, Wendy; Plecha, Donna; Klein, Nina; Dasari, Ramachandra Rao; Fitzmaurice, Maryann

    2014-01-01

    Microcalcifications are an early mammographic sign of breast cancer and a target for stereotactic breast needle biopsy. Here, we develop and compare different approaches for developing Raman classification algorithms to diagnose invasive and in situ breast cancer, fibrocystic change and fibroadenoma that can be associated with microcalcifications. In this study, Raman spectra were acquired from tissue cores obtained from fresh breast biopsies and analyzed using a constituent-based breast model. Diagnostic algorithms based on the breast model fit coefficients were devised using logistic regression, C4.5 decision tree classification, k-nearest neighbor (k-NN) and support vector machine (SVM) analysis, and subjected to leave-one-out cross validation. The best performing algorithm was based on SVM analysis (with radial basis function), which yielded a positive predictive value of 100% and negative predictive value of 96% for cancer diagnosis. Importantly, these results demonstrate that Raman spectroscopy provides adequate diagnostic information for lesion discrimination even in the presence of microcalcifications, which to the best of our knowledge has not been previously reported. Raman spectroscopy and multivariate classification provide accurate discrimination among lesions in stereotactic breast biopsies, irrespective of microcalcification status. PMID:22815240

  10. 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.

  11. 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.

  12. 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.

  13. 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 ...

  14. 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...

  15. 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 ...

  16. 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.

  17. 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.

  18. 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.

  19. 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

  20. 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.

  1. 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.

  2. 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 ...

  3. 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

  4. 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...

  5. 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 ...

  6. 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 ...

  7. 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.

  8. 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.

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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...

  14. 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...

  15. 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%.

  16. [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.

  17. 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...

  18. Association between air pollution and mammographic breast density in the Breast Cancer Surveilance Consortium.

    Science.gov (United States)

    Yaghjyan, Lusine; Arao, Robert; Brokamp, Cole; O'Meara, Ellen S; Sprague, Brian L; Ghita, Gabriela; Ryan, Patrick

    2017-04-06

    Mammographic breast density is a well-established strong risk factor for breast cancer. The environmental contributors to geographic variation in breast density in urban and rural areas are poorly understood. We examined the association between breast density and exposure to ambient air pollutants (particulate matter Breast Cancer Surveillance Consortium (2001-2009). We included women aged ≥40 years with known residential zip codes before the index mammogram (n = 279,967). Breast density was assessed using the American College of Radiology's Breast Imaging-Reporting and Data System (BI-RADS) four-category breast density classification. PM2.5 and O3 estimates for grids across the USA (2001-2008) were obtained from the US Environmental Protection Agency Hierarchical Bayesian Model (HBM). For the majority of women (94%), these estimates were available for the year preceding the mammogram date. Association between exposure to air pollutants and density was estimated using polytomous logistic regression, adjusting for potential confounders. Women with extremely dense breasts had higher mean PM2.5 and lower O3 exposures than women with fatty breasts (8.97 vs. 8.66 ug/m3 and 33.70 vs. 35.82 parts per billion (ppb), respectively). In regression analysis, women with heterogeneously dense vs. scattered fibroglandular breasts were more likely to have higher exposure to PM2.5 (fourth vs. first quartile odds ratio (OR) = 1.19, 95% confidence interval (CI) 1.16 - 1.23). Women with extremely dense vs. scattered fibroglandular breasts were less likely to have higher levels of ozone exposure (fourth vs. first quartile OR = 0.80, 95% CI 0.73-0.87). Exposure to PM2.5 and O3 may in part explain geographical variation in mammographic density. Further studies are warranted to determine the causal nature of these associations.

  19. Molecular classification and prediction in gastric cancer

    Directory of Open Access Journals (Sweden)

    Xiandong Lin

    2015-01-01

    Full Text Available Gastric cancer, a highly heterogeneous disease, is the second leading cause of cancer death and the fourth most common cancer globally, with East Asia accounting for more than half of cases annually. Alongside TNM staging, gastric cancer clinic has two well-recognized classification systems, the Lauren classification that subdivides gastric adenocarcinoma into intestinal and diffuse types and the alternative World Health Organization system that divides gastric cancer into papillary, tubular, mucinous (colloid, and poorly cohesive carcinomas. Both classification systems enable a better understanding of the histogenesis and the biology of gastric cancer yet have a limited clinical utility in guiding patient therapy due to the molecular heterogeneity of gastric cancer. Unprecedented whole-genome-scale data have been catalyzing and advancing the molecular subtyping approach. Here we cataloged and compared those published gene expression profiling signatures in gastric cancer. We summarized recent integrated genomic characterization of gastric cancer based on additional data of somatic mutation, chromosomal instability, EBV virus infection, and DNA methylation. We identified the consensus patterns across these signatures and identified the underlying molecular pathways and biological functions. The identification of molecular subtyping of gastric adenocarcinoma and the development of integrated genomics approaches for clinical applications such as prediction of clinical intervening emerge as an essential phase toward personalized medicine in treating gastric cancer.

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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.

  6. 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...

  7. 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

  8. 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

  9. 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

  10. Small breast lesion classification performance using the normalized axial-shear strain area feature.

    Science.gov (United States)

    Thittai, Arun K; Yamal, Jose-Miguel; Ophir, Jonathan

    2013-03-01

    Breast cancers that are found and confirmed because they are causing symptoms tend to be larger and are more likely to have already spread to the lymph nodes and beyond. Thus, early detection and confirmation are of paramount importance. The normalized axial-shear strain area (NASSA) feature from the axial-shear strain elastogram (ASSE) has been shown to be a feature that can identify the boundary-bonding conditions that are indicative of the presence of cancer. Recently, we investigated and reported on the potential of the NASSA feature for breast lesion classification into fibroadenomas and cancers. In this article, we investigate the size distribution of the lesions that were part of the previous study and analyze classification performance specifically on small lesions (NASSA feature from ASSE was computed semi-automatically. Receiver operating characteristic curves were then generated for the subset of cases involving small lesions. Box plots were produced for the two different lesion size groups, small and large, from a logistic regression classifier that was built previously. The results of our study show that approximately 38% and 22% of the fibroadenomas and cancers, respectively, were small. Furthermore, it was found that the NASSA feature resulted in a perfect classification of the small lesions, both in the training data and in the cross-validation. For lesions 10 mm had a difference of 0.52 ± 0.24 (p 10 mm). These results suggest that the ASSE feature can work equally well, even on small lesions, to improve the standard ultrasound BIRADS-based breast lesion classification of fibroadenoma and malignant tumors. Copyright © 2013 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

  11. 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...

  12. 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.

  13. Breast Cancer Molecular Subtypes Among Moroccan Women

    Directory of Open Access Journals (Sweden)

    Wissal Mahir

    2016-12-01

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

  14. Local binary pattern texture-based classification of solid masses in ultrasound breast images

    Science.gov (United States)

    Matsumoto, Monica M. S.; Sehgal, Chandra M.; Udupa, Jayaram K.

    2012-03-01

    Breast cancer is one of the leading causes of cancer mortality among women. Ultrasound examination can be used to assess breast masses, complementarily to mammography. Ultrasound images reveal tissue information in its echoic patterns. Therefore, pattern recognition techniques can facilitate classification of lesions and thereby reduce the number of unnecessary biopsies. Our hypothesis was that image texture features on the boundary of a lesion and its vicinity can be used to classify masses. We have used intensity-independent and rotation-invariant texture features, known as Local Binary Patterns (LBP). The classifier selected was K-nearest neighbors. Our breast ultrasound image database consisted of 100 patient images (50 benign and 50 malignant cases). The determination of whether the mass was benign or malignant was done through biopsy and pathology assessment. The training set consisted of sixty images, randomly chosen from the database of 100 patients. The testing set consisted of forty images to be classified. The results with a multi-fold cross validation of 100 iterations produced a robust evaluation. The highest performance was observed for feature LBP with 24 symmetrically distributed neighbors over a circle of radius 3 (LBP24,3) with an accuracy rate of 81.0%. We also investigated an approach with a score of malignancy assigned to the images in the test set. This approach provided an ROC curve with Az of 0.803. The analysis of texture features over the boundary of solid masses showed promise for malignancy classification in ultrasound breast images.

  15. [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.

  16. 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.

  17. 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

  18. 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.

  19. 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 ...

  20. 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

  1. 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.

  2. Polyphenols as Promising Drugs against Main Breast Cancer Signatures

    Directory of Open Access Journals (Sweden)

    María Losada-Echeberría

    2017-11-01

    Full Text Available Breast cancer is one of the most common neoplasms worldwide, and in spite of clinical and pharmacological advances, it is still a clinical problem, causing morbidity and mortality. On the one hand, breast cancer shares with other neoplasms some molecular signatures such as an imbalanced redox state, cell cycle alterations, increased proliferation and an inflammatory status. On the other hand, breast cancer shows differential molecular subtypes that determine its prognosis and treatment. These are characterized mainly by hormone receptors especially estrogen receptors (ERs and epidermal growth factor receptor 2 (HER2. Tumors with none of these receptors are classified as triple negative breast cancer (TNBC and are associated with a worse prognosis. The success of treatments partially depends on their specificity and the adequate molecular classification of tumors. New advances in anticancer drug discovery using natural compounds have been made in the last few decades, and polyphenols have emerged as promising molecules. They may act on various molecular targets because of their promiscuous behavior, presenting several physiological effects, some of which confer antitumor activity. This review analyzes the accumulated evidence of the antitumor effects of plant polyphenols on breast cancer, with special attention to their activity on ERs and HER2 targets and also covering different aspects such as redox balance, uncontrolled proliferation and chronic inflammation.

  3. Polyphenols as Promising Drugs against Main Breast Cancer Signatures

    Science.gov (United States)

    Herranz-López, María; Micol, Vicente

    2017-01-01

    Breast cancer is one of the most common neoplasms worldwide, and in spite of clinical and pharmacological advances, it is still a clinical problem, causing morbidity and mortality. On the one hand, breast cancer shares with other neoplasms some molecular signatures such as an imbalanced redox state, cell cycle alterations, increased proliferation and an inflammatory status. On the other hand, breast cancer shows differential molecular subtypes that determine its prognosis and treatment. These are characterized mainly by hormone receptors especially estrogen receptors (ERs) and epidermal growth factor receptor 2 (HER2). Tumors with none of these receptors are classified as triple negative breast cancer (TNBC) and are associated with a worse prognosis. The success of treatments partially depends on their specificity and the adequate molecular classification of tumors. New advances in anticancer drug discovery using natural compounds have been made in the last few decades, and polyphenols have emerged as promising molecules. They may act on various molecular targets because of their promiscuous behavior, presenting several physiological effects, some of which confer antitumor activity. This review analyzes the accumulated evidence of the antitumor effects of plant polyphenols on breast cancer, with special attention to their activity on ERs and HER2 targets and also covering different aspects such as redox balance, uncontrolled proliferation and chronic inflammation. PMID:29112149

  4. Positive psychology interventions in breast cancer. A systematic review.

    Science.gov (United States)

    Casellas-Grau, Anna; Font, Antoni; Vives, Jaume

    2014-01-01

    Positive psychology is an emerging area of empirical study, not only in clinical, but also in health psychology. The present systematic review aims to synthesize the evidence about the positive psychology interventions utilized in breast cancer. Relevant studies were identified via Pubmed, PsycINFO, Web of Science, Scopus, Cochrane, CINAHL, Wiley Online Library, TDX, and DIALNET databases (up to April 2013). Only those papers focused on interventions related to positive psychology and carried out on breast cancer patients were included. Of the 7266 articles found through databases, 16 studies were finally included in this review. Five groups of therapies were found: mindfulness-based approaches, expression of positive emotions, spiritual interventions, hope therapy, and meaning-making interventions. These specific interventions promoted positive changes in breast cancer participants, such as enhanced quality of life, well-being, hope, benefit finding, or optimism. However, the disparity of the interventions and some methodological issues limit the outcomes. Some studies provided relevant evidence about the clear development of positive aspects from the breast cancer experience. Positive interventions applied to patients and survivors of breast cancer were found to be able to promote positive aspects. A global consensus of a positive therapies classification is needed to take one more step in structuring positive psychology. Copyright © 2013 John Wiley & Sons, Ltd.

  5. 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

  6. 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

  7. 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.

  8. Importance of hormone receptors in breast cancer

    Directory of Open Access Journals (Sweden)

    Nohelia Muñoz-Ordóñez

    2013-09-01

    Full Text Available The basis of the diagnosis of breast cancer is the histological confirmation of it. In the diagnostic methods performed on biopsy specimens and / or surgical specimens of patients, analysis of hormone receptors, provides information to the appropriate prescription of the endocrine treatments used today, in addition to having utility as a prognostic factor in determining the risk of recurrence post treatment and evaluate the response. To obtain tumor tissue, also allows to determine prognostic and predictive factors such as histopathological classification of the tumor, its size, number of positive lymph nodes and lymph-vascular commitment, all of them very important in a integrated treatment, in order to improve the quality and life expectancy of patients.

  9. 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...

  10. 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.

  11. 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...

  12. 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.

  13. 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...

  14. 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...

  15. 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.

  16. 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...

  17. 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.

  18. 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

  19. 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

  20. [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.

  1. 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.

  2. 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

  3. 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

  4. 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

  5. Sentinel Lymph Node Biopsy and Isolated Tumor Cells in Invasive Lobular Versus Ductal Breast Cancer

    NARCIS (Netherlands)

    Truin, Wilfred; Roumen, Rudi M.; Siesling, Sabine; van der Heiden-van der Loo, Margriet; Lobbezoo, Dorien J.; Tjan-Heijnen, Vivianne C.G.; Voogd, Adri C.

    2016-01-01

    Background Sentinel lymph node (SLN) biopsy is the standard of care for axillary staging in invasive breast cancer. The introduction of SLN biopsy with an extensive pathology examination, in addition to the introduction of the 2002 TNM classification, led to different axillary classification

  6. Risk Factors for Breast Cancer, Including Occupational Exposures

    Directory of Open Access Journals (Sweden)

    Elisabete Weiderpass

    2011-03-01

    Full Text Available The knowledge on the etiology of breast cancer has advanced substantially in recent years, and several etiological factors are now firmly established. However, very few new discoveries have been made in relation to occupational risk factors. The International Agency for Research on Cancer has evaluated over 900 different exposures or agents to-date to determine whether they are carcinogenic to humans. These evaluations are published as a series of Monographs (www.iarc.fr. For breast cancer the following substances have been classified as “carcinogenic to humans” (Group 1: alcoholic beverages, exposure to diethylstilbestrol, estrogen-progestogen contraceptives, estrogen-progestogen hormone replacement therapy and exposure to X-radiation and gamma-radiation (in special populations such as atomic bomb survivors, medical patients, and in-utero exposure. Ethylene oxide is also classified as a Group 1 carcinogen, although the evidence for carcinogenicity in epidemiologic studies, and specifically for the human breast, is limited. The classification “probably carcinogenic to humans” (Group 2A includes estrogen hormone replacement therapy, tobacco smoking, and shift work involving circadian disruption, including work as a flight attendant. If the association between shift work and breast cancer, the most common female cancer, is confirmed, shift work could become the leading cause of occupational cancer in women.

  7. 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

  8. 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

  9. 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 ...

  10. 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

  11. 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....

  12. 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 ...

  13. 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

  14. 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)

  15. 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

  16. 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 ...

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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...

  2. 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.

  3. 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.

  4. [New trends in diagnostics and classification of breast carcinoma].

    Science.gov (United States)

    Ryska, A; Laco, J; Hornychová, H; Hornychová, E; Melichar, B

    2009-04-01

    Authors report a review of current issues in morphological, immunohistochemical and molecular-genetic diagnostics of breast carcinoma. In particular, classification of tumors based on molecular profiling (luminal, HER-2 positive, triple-negative), frequency of HER-2 positive tumors in population, as well as new approaches and pitfalls in HER-2/neu diagnostics, including current recommendations for performing the tests in the Czech Republic are discussed.

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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.

  10. 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

  11. 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...

  12. 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...

  13. Breast cancer imaging: A perspective for the next decade

    Energy Technology Data Exchange (ETDEWEB)

    Karellas, Andrew; Vedantham, Srinivasan [Department of Radiology, University of Massachusetts Medical School, Worcester, MA 01655 (United States)

    2008-11-15

    Breast imaging is largely indicated for detection, diagnosis, and clinical management of breast cancer and for evaluation of the integrity of breast implants. In this work, a prospective view of techniques for breast cancer detection and diagnosis is provided based on an assessment of current trends. The potential role of emerging techniques that are under various stages of research and development is also addressed. It appears that the primary imaging tool for breast cancer screening in the next decade will be high-resolution, high-contrast, anatomical x-ray imaging with or without depth information. MRI and ultrasonography will have an increasingly important adjunctive role for imaging high-risk patients and women with dense breasts. Pilot studies with dedicated breast CT have demonstrated high-resolution three-dimensional imaging capabilities, but several technological barriers must be overcome before clinical adoption. Radionuclide based imaging techniques and x-ray imaging with intravenously injected contrast offer substantial potential as a diagnostic tools and for evaluation of suspicious lesions. Developing optical and electromagnetic imaging techniques hold significant potential for physiologic information and they are likely to be of most value when integrated with or adjunctively used with techniques that provide anatomic information. Experimental studies with breast specimens suggest that phase-sensitive x-ray imaging techniques can provide edge enhancement and contrast improvement but more research is needed to evaluate their potential role in clinical breast imaging. From the technological perspective, in addition to improvements within each modality, there is likely to be a trend towards multi-modality systems that combine anatomic with physiologic information. We are also likely to transition from a standardized screening, where all women undergo the same imaging exam (mammography), to selection of a screening modality or modalities based an

  14. 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...

  15. 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

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

    Science.gov (United States)

    Diz, Joana; Marreiros, Goreti; Freitas, Alberto

    2016-09-01

    In the field of breast cancer research, and more than ever, new computer aided diagnosis based systems have been developed aiming to reduce diagnostic tests false-positives. Within this work, we present a data mining based approach which might support oncologists in the process of breast cancer classification and diagnosis. The present study aims to compare two breast cancer datasets and find the best methods in predicting benign/malignant lesions, breast density classification, and even for finding identification (mass / microcalcification distinction). To carry out these tasks, two matrices of texture features extraction were implemented using Matlab, and classified using data mining algorithms, on WEKA. Results revealed good percentages of accuracy for each class: 89.3 to 64.7 % - benign/malignant; 75.8 to 78.3 % - dense/fatty tissue; 71.0 to 83.1 % - finding identification. Among the different tests classifiers, Naive Bayes was the best to identify masses texture, and Random Forests was the first or second best classifier for the majority of tested groups.

  1. Computerized Prediction of Risk for Developing Breast Cancer Based on Bilateral Mammographic Breast Tissue Asymmetry

    Science.gov (United States)

    Wang, Xingwei; Lederman, Dror; Tan, Jun; Wang, Xiao Hui; Zheng, Bin

    2011-01-01

    This study developed and assessed a computerized scheme to detect breast abnormalities and predict the risk of developing cancer based on bilateral mammographic tissue asymmetry. A digital mammography database of 100 randomly selected negative cases and 100 positive cases for having high-risk of developing breast cancer was established. Each case includes four images of craniocaudal (CC) and mediolateral oblique (MLO) views of the left and right breast. To detect bilateral mammographic tissue asymmetry, a pool of 20 computed features was assembled. A genetic algorithm was applied to select optimal features and build an artificial neural network based classifier to predict the likelihood of a test case being positive. The leave-one-case-out validation method was used to evaluate the classifier performance. Several approaches were investigated to improve the classification performance including extracting asymmetrical tissue features from either selected regions of interests or the entire segmented breast area depicted on bilateral images in one view, and the fusion of classification results from two views. The results showed that (1) using the features computed from the entire breast area, the classifier yielded the higher performance than using ROIs, and (2) using a weighted average fusion method, the classifier achieved the highest performance with the area under ROC curve of 0.781±0.023. At 90% specificity, the scheme detected 58.3% of high-risk cases in which cancers developed and verified 6 to 18 months later. The study demonstrated the feasibility of applying a computerized scheme to detect cases with high risk of developing breast cancer based on computer-detected bilateral mammographic tissue asymmetry. PMID:21482168

  2. 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 ...

  3. 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 ...

  4. 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.

  5. 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

  6. 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.

  7. 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....

  8. Robust breast cancer prediction system based on rough set theory at National Cancer Institute of Egypt.

    Science.gov (United States)

    Hamouda, Saeed Khodary M; Wahed, Mohammed E; Abo Alez, Reda H; Riad, Khaled

    2018-01-01

    Breast cancer is one of the major death causing diseases of the women in the world. Every year more than million women are diagnosed with breast cancer more than half of them will die because of inaccuracies and delays in diagnosis of the disease. High accuracy in cancer prediction is important to improve the treatment quality and the survivability rate of patients. In this paper, we are going to propose a new and robust breast cancer prediction and diagnosis system based on the Rough Set (RS). Also, introducing the robust classification process based on some new and most effective attributes. Comparing and evaluating the performance of our proposed approach with the clinical, Radial Basis Function, and Artificial Neural Networks classification schemes. The dataset used in our experiments consists of 60 samples obtained from the National Cancer Institute (NCI) of Egypt. We have used the RS theory to robustly find dependence relationships among data, and evaluate the importance of attributes through: Results: Conclusion: We have introduced the robustness of the RS theory in early predicting and diagnosing the breast cancer. This lay more importance to the contribution and efficiency of RS theory in the field of computational biology. Copyright © 2017 Elsevier B.V. All rights reserved.

  9. 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.

  10. 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....

  11. BREAST CANCER: IS OBESITY A RISK FACTOR?

    OpenAIRE

    Anjali; Deepak; Dinesh Kumar

    2015-01-01

    Most epidemiological studies established obesity as an important risk factor for breast cancer. It is one of the few risk factors that women can modify. Now-a-days breast cancer is considered to be a life-style disease. The relation of obesity to breast cancer is complex one. Obesity is found to be associated with increased risk of cancer in post-menopausal women, but relation is reverse in pre-menopausal women. In these patients, obesity increases risk due to enhanced oestrogenic...

  12. Endocrine Resistance in Breast Cancer

    Directory of Open Access Journals (Sweden)

    J. M. Dixon

    2014-01-01

    Full Text Available Around 70% of all breast cancers are estrogen receptor alpha positive and hence their development is highly dependent on estradiol. While the invention of endocrine therapies has revolusioned the treatment of the disease, resistance to therapy eventually occurs in a large number of patients. This paper seeks to illustrate and discuss the complexity and heterogeneity of the mechanisms which underlie resistance and the approaches proposed to combat them. It will also focus on the use and development of methods for predicting which patients are likely to develop resistance.

  13. Breast Cancer Research Training Grant.

    Science.gov (United States)

    1996-10-01

    results, but have been less extensive. Breast cancer, a leading cause of morbidity and mortality among women, has also been shown to be susceptible to...numbers were determined for each of the groups. Two experiments were performed using identical protocols except the dose of DMBA which was 25 mg/kg ( Expt #1...or 15 mg/kg ( Expt #2). Rats were given 1.25% or 2.5% tea extract. There was no statistically significant effect of black tea on mammary tumor

  14. Multi-View Probabilistic Classification of Breast Microcalcifications.

    Science.gov (United States)

    Bekker, Alan Joseph; Shalhon, Moran; Greenspan, Hayit; Goldberger, Jacob

    2016-02-01

    Classification of clustered breast microcalcifications into benign and malignant categories is an extremely challenging task for computerized algorithms and expert radiologists alike. In this paper we apply a multi-view-classifier for the task. We describe a two-step classification method that is based on a view-level decision, implemented by a logistic regression classifier, followed by a stochastic combination of the two view-level indications into a single benign or malignant decision. The proposed method was evaluated on a large number of cases from a standardized digital database for screening mammography (DDSM). Experimental results demonstrate the advantage of the proposed multi-view classification algorithm that automatically learns the best way to combine the views.

  15. Melatonin, an inhibitory agent in breast cancer.

    Science.gov (United States)

    Nooshinfar, Elaheh; Safaroghli-Azar, Ava; Bashash, Davood; Akbari, Mohammad Esmaeil

    2017-01-01

    The heterogeneous nature of breast cancer makes it one of the most challenging cancers to treat. Due to the stimulatory effect of estrogen in mammary cancer progression, anti-estrogenic agents like melatonin have found their way into breast cancer treatment. Further studies confirmed a reverse correlation between nocturnal melatonin levels and the development of mammary cancer. In this study we reviewed the molecular inhibitory effects of melatonin in breast cancer therapy. To open access the articles, Google scholar and science direct were used as a motor search. We used from valid external and internal databases. To reach the search formula, we determined mean key words like breast cancer, melatonin, cell proliferation and death. To retrieval the related articles, we continuously search the articles from 1984 to 2015. The relevance and the quality of the 480 articles were screened; at least we selected 80 eligible articles about melatonin molecular mechanism in breast cancer. The results showed that melatonin not only inhibits breast cancer cell growth, but also is capable of inhibiting angiogenesis, cancer cell invasion, and telomerase activity. Interestingly this hormone is able to induce apoptosis through the suppression or induction of a wide range of signaling pathways. Moreover, it seems that the concomitant administration of melatonin with other conventional chemotherapy agents had beneficial effects for patients with breast cancer, by alleviating unfavorable effects of those agents and enhancing their efficacy. The broad inhibitory effects of melatonin in breast cancer make it a promising agent and may add it to the list of potential drugs in treatment of this cancer.

  16. Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.

    Science.gov (United States)

    Jalalian, Afsaneh; Mashohor, Syamsiah; Mahmud, Rozi; Karasfi, Babak; Saripan, M Iqbal B; Ramli, Abdul Rahman B

    2017-01-01

    Breast cancer is the most prevalent cancer that affects women all over the world. Early detection and treatment of breast cancer could decline the mortality rate. Some issues such as technical reasons, which related to imaging quality and human error, increase misdiagnosis of breast cancer by radiologists. Computer-aided detection systems (CADs) are developed to overcome these restrictions and have been studied in many imaging modalities for breast cancer detection in recent years. The CAD systems improve radiologists' performance in finding and discriminating between the normal and abnormal tissues. These procedures are performed only as a double reader but the absolute decisions are still made by the radiologist. In this study, the recent CAD systems for breast cancer detection on different modalities such as mammography, ultrasound, MRI, and biopsy histopathological images are introduced. The foundation of CAD systems generally consist of four stages: Pre-processing, Segmentation, Feature extraction, and Classification. The approaches which applied to design different stages of CAD system are summarised. Advantages and disadvantages of different segmentation, feature extraction and classification techniques are listed. In addition, the impact of imbalanced datasets in classification outcomes and appropriate methods to solve these issues are discussed. As well as, performance evaluation metrics for various stages of breast cancer detection CAD systems are reviewed.

  17. Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection

    Science.gov (United States)

    Jalalian, Afsaneh; Mashohor, Syamsiah; Mahmud, Rozi; Karasfi, Babak; Saripan, M. Iqbal B.; Ramli, Abdul Rahman B.

    2017-01-01

    Breast cancer is the most prevalent cancer that affects women all over the world. Early detection and treatment of breast cancer could decline the mortality rate. Some issues such as technical reasons, which related to imaging quality and human error, increase misdiagnosis of breast cancer by radiologists. Computer-aided detection systems (CADs) are developed to overcome these restrictions and have been studied in many imaging modalities for breast cancer detection in recent years. The CAD systems improve radiologists' performance in finding and discriminating between the normal and abnormal tissues. These procedures are performed only as a double reader but the absolute decisions are still made by the radiologist. In this study, the recent CAD systems for breast cancer detection on different modalities such as mammography, ultrasound, MRI, and biopsy histopathological images are introduced. The foundation of CAD systems generally consist of four stages: Pre-processing, Segmentation, Feature extraction, and Classification. The approaches which applied to design different stages of CAD system are summarised. Advantages and disadvantages of different segmentation, feature extraction and classification techniques are listed. In addition, the impact of imbalanced datasets in classification outcomes and appropriate methods to solve these issues are discussed. As well as, performance evaluation metrics for various stages of breast cancer detection CAD systems are reviewed. PMID:28435432

  18. Cosmetic sequelae after oncoplastic surgery of the breast. Classification and factors for prevention.

    Science.gov (United States)

    Acea Nebril, Benigno; Cereijo Garea, Carmen; García Novoa, Alejandra

    2015-02-01

    Oncoplastic surgery is an essential tool in the surgical approach to women with breast cancer. These techniques are not absolute guarantee for a good cosmetic result and therefore some patients will have cosmetic sequelae secondary to poor surgical planning, the effects of adjuvant treatments or the need for resection greater than originally planned. The high frequency of these cosmetic sequelae in oncology practice makes it necessary to classify them for optimal surgical planning. The aim of this paper is to present a classification of cosmetic sequelae after oncoplastic procedures to identify those factors that are crucial to its prevention. This classification contains 4 groups: breast contour deformities, asymmetries, alterations in nipple-aréola complex (NAC) and defects in the three dimensional structure of the breast. A significant group of these sequelae (asymmetries and deformities) are associated with breast irradiation and need an accurate information process with patients to set realistic expectations about cosmetic results. Finally, there is another group of sequelae (NAC disorders and three-dimensional structure) that are related to poor planning and deficiencies in surgical approach, therfore specific training is essential for learning these surgical techniques. Copyright © 2014 AEC. Publicado por Elsevier España, S.L.U. All rights reserved.

  19. Breast-conservation treatment of breast cancer in elderly women

    Energy Technology Data Exchange (ETDEWEB)

    Ogawa, Yasuhiro; Nishioka, Akihito; Inomata, Taisuke (Kochi Medical School, Nankoku (Japan)) (and others)

    1993-10-01

    In the recent 3 years, 8 elderly women with breast cancer of various stages were treated with breast-conservation treatment (BCT) combined with endocrine therapy and/or systemic chemotherapy mainly based on patients' obvious desire. Until now, one out of these 8 patients had died of heart failure with no evidence of breast cancer progression, and the other 7 patients are alive with no evidence of disease. As for side effects of the therapy, no severe sequelae have been experienced so far. Cosmetic results of the therapy were considerably sufficient. (author).

  20. [Breast-conserving therapy in breast cancer].

    Science.gov (United States)

    Marcollet, Anne; Doridot, Virginie; Nos, Claude

    2004-04-30

    The combination of lumpectomy, axillary node treatment and radiotherapy of the breast is the base of breast-conserving therapy. This combination of surgery and radiotherapy is now accepted as a standard treatment option for unifocal, non inflammatory lesion less than 3 cm. The widespread use of mammography to detect infraclinic breast carcinoma leads to a significant increase in the proportion of breast conserving treatment. Neoadjuvant therapeutics (chemotherapy, radiotherapy and hormonotherapy) can extend the standard indication to breast carcinoma larger than 3 cm. The standard definition is also modified by sentinel node biopsy, oncoplastic techniques and stereotactic surgery with satisfactory cosmetic results. The risk of local recurrence, particularly the margins, must be evaluated whatever the surgical treatment optimizing oncologic management.

  1. OPTIMIZATION OF DIAGNOSTIC IMAGING IN BREAST CANCER

    Directory of Open Access Journals (Sweden)

    S. A. Velichko

    2015-01-01

    Full Text Available The paper presents the results of breast imaging for 47200 women. Breast cancer was detected in 862 (1.9% patients, fibroadenoma in 1267 (2.7% patients and isolated breast cysts in 1162 (2.4% patients. Different types of fibrocystic breast disease (adenosis, diffuse fibrocystic changes, local fibrosis and others were observed in 60.1% of women. Problems of breast cancer visualization during mammography, characterized by the appearance of fibrocystic mastopathy (sclerosing adenosis, fibrous bands along the ducts have been analyzed. Data on the development of diagnostic algorithms including the modern techniques for ultrasound and interventional radiology aimed at detecting early breast cancer have been presented.  

  2. Genomic Disparities in Breast Cancer Among Latinas

    Science.gov (United States)

    Lynce, Filipa; Graves, Kristi D.; Jandorf, Lina; Ricker, Charité; Castro, Eida; Moreno, Laura; Augusto, Bianca; Fejerman, Laura; Vadaparampil, Susan T.

    2016-01-01

    Background Breast cancer is the most common cancer diagnosed among Latinas in the United States and the leading cause of cancer-related death among this population. Latinas tend to be diagnosed at a later stage and have worse prognostic features than their non-Hispanic white counterparts. Genetic and genomic factors may contribute to observed breast cancer health disparities in Latinas. Methods We provide a landscape of our current understanding and the existing gaps that need to be filled across the cancer prevention and control continuum. Results We summarize available data on mutations in high and moderate penetrance genes for inherited risk of breast cancer and the associated literature on disparities in awareness of and uptake of genetic counseling and testing in Latina populations. We also discuss common genetic polymorphisms and risk of breast cancer in Latinas. In the treatment setting, we examine tumor genomics and pharmacogenomics in Latina patients with breast cancer. Conclusions As the US population continues to diversify, extending genetic and genomic research into this underserved and understudied population is critical. By understanding the risk of breast cancer among ethnically diverse populations, we will be better positioned to make treatment advancements for earlier stages of cancer, identify more effective and ideally less toxic treatment regimens, and increase rates of survival. PMID:27842325

  3. Annotating breast cancer microarray samples using ontologies.

    Science.gov (United States)

    Liu, Hongfang; Li, Xin; Yoon, Victoria; Clarke, Robert

    2008-11-06

    As the most common cancer among women, breast cancer results from the accumulation of mutations in essential genes. Recent advance in high-throughput gene expression microarray technology has inspired researchers to use the technology to assist breast cancer diagnosis, prognosis, and treatment prediction. However, the high dimensionality of microarray experiments and public access of data from many experiments have caused inconsistencies which initiated the development of controlled terminologies and ontologies for annotating microarray experiments, such as the standard microarray Gene Expression Data (MGED) ontology(MO). In this paper, we developed BCM-CO, anontology tailored specifically for indexing clinical annotations of breast cancer microarray samples from the NCI Thesaurus. Our research showed that the coverage of NCI Thesaurus is very limited with respect to i) terms used by researchers to describe breast cancer histology (covering 22 out of 48 histology terms); ii) breast cancer cell lines (covering one out of 12 cell lines); and iii) classes corresponding to the breast cancer grading and staging. By incorporating a wider range of those terms into BCM-CO, we were able to indexed breast cancer microarray samples from GEO using BCMCO and MGED ontology and developed a prototype system with web interface that allows the retrieval of microarray data based on the ontology annotations.

  4. Weight, physical activity and breast cancer survival.

    Science.gov (United States)

    McTiernan, Anne

    2018-02-26

    Weight, weight change and physical activity may affect prognosis among women who are diagnosed with breast cancer. Observational studies show associations between overweight/obesity and weight gain with several measures of reduced prognosis in women with breast cancer, and some suggestions of lower survival in women who are underweight or who experience unexplained weight loss after diagnosis. Observational studies have also shown an association between higher levels of physical activity and reduced breast cancer-specific and all-cause mortality, although a dose-response relationship has not been established. The effects of purposive dietary weight loss and increase in physical activity on survival or recurrence in breast cancer are not yet established, and randomised controlled trials are needed for definitive data. This paper presents the epidemiologic evidence on weight status, weight change, and physical activity and breast cancer survival; suggests potential mediating mechanisms; summarises evidence on weight loss interventions in breast cancer survivors; describes ongoing randomised clinical trials designed to test the effects of weight loss or physical activity on breast cancer survival; and provides information on available guidelines on weight and physical activity for cancer survivors.

  5. Flax and Breast Cancer: A Systematic Review.

    Science.gov (United States)

    Flower, Gillian; Fritz, Heidi; Balneaves, Lynda G; Verma, Shailendra; Skidmore, Becky; Fernandes, Rochelle; Kennedy, Deborah; Cooley, Kieran; Wong, Raimond; Sagar, Stephen; Fergusson, Dean; Seely, Dugald

    2014-05-01

    Flax is a food and dietary supplement commonly used for menopausal symptoms. Flax is known for its lignan, α-linolenic acid, and fiber content, components that may possess phytogestrogenic, anti-inflammatory, and hormone modulating effects, respectively. We conducted a systematic review of flax for efficacy in improving menopausal symptoms in women living with breast cancer and for potential impact on risk of breast cancer incidence or recurrence. We searched MEDLINE, Embase, the Cochrane Library, and AMED from inception to January 2013 for human interventional or observational data pertaining to flax and breast cancer. Of 1892 records, we included a total of 10 studies: 2 randomized controlled trials, 2 uncontrolled trials, 1 biomarker study, and 5 observational studies. Nonsignificant (NS) decreases in hot flash symptomatology were seen with flax ingestion (7.5 g/d). Flax (25 g/d) increased tumor apoptotic index (Pflax or 50 mg secoisolariciresinol diglycoside daily. Observational data suggests associations between flax and decreased risk of primary breast cancer (adjusted odds ratio [AOR] = 0.82; 95% confidence interval [CI] = 0.69-0.97), better mental health (AOR = 1.76; 95% CI = 1.05-2.94), and lower mortality (multivariate hazard ratio = 0.69; 95% CI = 0.50-0.95) among breast cancer patients. Current evidence suggests that flax may be associated with decreased risk of breast cancer. Flax demonstrates antiproliferative effects in breast tissue of women at risk of breast cancer and may protect against primary breast cancer. Mortality risk may also be reduced among those living with breast cancer. © The Author(s) 2013.

  6. Genetic factors and breast cancer laterality

    Directory of Open Access Journals (Sweden)

    Amer MH

    2014-04-01

    Full Text Available Magid H Amer Department of Medicine, St Rita's Medical Center, Lima, OH, USA Background: Women are more likely to develop cancer in the left breast than the right. Such laterality may influence subsequent management, especially in elderly patients with heart disease who may require radiation therapy. The purpose of this study was to explore possible factors for such cancer laterality. Methods: In this work, clinical data for consecutive patients with histologically confirmed breast cancer were reviewed, with emphasis on clinical presentation and family history. Results: Between 2005 and 2012, 687 patients with breast cancer were seen. Two women with incomplete data and eleven men were excluded. In total, 343 (50.9% patients presented with left breast cancer, 311 (46.1% with right breast cancer, and 20 (3.0% with simultaneous bilateral malignancy. There were no significant differences between the three groups, especially in regards to clinical presentation and tumor characteristics. A total of 622 (92.3% patients had unilateral primary, 20 (3.0% had simultaneous bilateral, and 32 (4.7% had metachronous primary breast cancer with subsequent contralateral breast cancer after 7.5–236 months. The worst 10-year survival was for bilateral simultaneous (18% compared with unilateral (28% and metachronous primaries (90%. There were no differences in survival in relation to breast cancer laterality, handedness, and presence or absence of a family history of cancer. There were significant similarities between patients and first-degree relatives in regards to breast cancer laterality, namely same breast (30/66, 45.5%, opposite breast (9/66, 13.6%, and bilateral cancer (27/66, 40.9, P=0.01163. This was more evident among patients and their sisters (17/32, 53.1% or mothers (11/27, 40.7%, P=0.0689. There were also close similarities in relation to age at initial diagnosis of cancer for patients and their first-degree relatives for age differences of ≤5

  7. Breast Cancer and its Radiotherapeutic Methods

    Directory of Open Access Journals (Sweden)

    Banafsheh Zeinali Rafsanjani

    2012-03-01

    Full Text Available Breast cancer is the most common cancer in women after skin cancer. In Iran, the presentation age of this cancer is younger than the global average. There are different therapeutic methods for treatment of breast cancer and the choice of treatment depends on the stage of the disease as well as its type and characteristics. Therapeutic methods include surgery, radiotherapy, and systemic therapies, each consisting of a variety of techniques. The two main surgical techniques are lumpectomy and mastectomy. The main systemic methods are biological therapy (immunotherapy, hormone therapy, and chemotherapy. Radiotherapy is mainly categorized into external-beam radiotherapy and brachytherapy. In this paper, we present a brief review of the different types of breast cancer and their treatments using conventional and modern radiotherapy methods, as well as the treatment efficacy and side effects of breast radiotherapy.

  8. A family history of breast cancer will not predict female early onset breast cancer in a population-based setting

    NARCIS (Netherlands)

    G.H. de Bock (Geertruida); C.E. Jacobi (Catharina); C.M. Seynaeve (Caroline); E.M.M. Krol-Warmerdam (Elly); J. Blom (Jannet); C.J. van Asperen (Christi); C.J. Cornelisse (Cees); J.G.M. Klijn (Jan); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); C.T. Brekelmans (Cecile); J.C. van Houwelingen

    2008-01-01

    textabstractBackground: An increased risk of breast cancer for relatives of breast cancer patients has been demonstrated in many studies, and having a relative diagnosed with breast cancer at an early age is an indication for breast cancer screening. This indication has been derived from estimates

  9. A family history of breast cancer will not predict female early onset breast cancer in a population-based setting

    NARCIS (Netherlands)

    de Bock, Geertruida H.; Jacobi, Catharina E.; Seynaeve, Caroline; Krol-Warmerdam, Elly M. M.; Blom, Jannet; van Asperen, Christi J.; Cornelisse, Cees J.; Klijn, Jan G. M.; Devilee, Peter; Tollenaar, Rob A. E. M.; Brekelmans, Cecile T. M.; van Houwelingen, Johannes C.

    2008-01-01

    Background: An increased risk of breast cancer for relatives of breast cancer patients has been demonstrated in many studies, and having a relative diagnosed with breast cancer at an early age is an indication for breast cancer screening. This indication has been derived from estimates based on data

  10. Urinary estrogen metabolites and breast cancer

    DEFF Research Database (Denmark)

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

    2013-01-01

    ), and their ratio (2:16a-OHE1) in relation to breast cancer risk. ¿Methods: Primary data on 726 premenopausal women (183 invasive breast cancer cases and 543 controls) and 1,108 postmenopausal women (385 invasive breast cancer cases and 723 controls) were analyzed. Urinary estrogen metabolites were measured using...... enzyme linked immunosorbent assays. Study-specific and combined multivariable adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated based on tertiles of estrogen metabolites. Multinomial logistic regression models were fit according to hormone receptor status.¿Results: Higher......Background: Circulating estrogens are associated with increased breast cancer risk, yet the role of estrogen metabolites in breast carcinogenesis remains unclear. This combined analysis of 5 published studies evaluates urinary 2-hydroxyestrone (2-OHE1), 16a-hydroxyestrone (16a-OHE1...

  11. Features of triple-negative breast cancer

    OpenAIRE

    Plasilova, Magdalena L.; Hayse, Brandon; Killelea, Brigid K.; Horowitz, Nina R; Chagpar, Anees B.; Donald R. Lannin

    2016-01-01

    Abstract The aim of this study was to determine the features of triple-negative breast cancer (TNBC) using a large national database. TNBC is known to be an aggressive subtype, but national epidemiologic data are sparse. All patients with invasive breast cancer and known molecular subtype diagnosed in 2010 to 2011 were identified from the National Cancer Data Base (NCDB). Patients with and without TNBC were compared with respect to their sociodemographic and clinicopathologic features. TNBC w...

  12. Breast cancer surgery effect over professional activities

    OpenAIRE

    Mirella Dias; Kamilla Zomkowski; Fernanda Alessandra Silva Michel; Fabiana Flores Sperandio

    2017-01-01

    Introduction: Breast cancer is responsible for 25% of all cancers and is the most prevalent in the female population. Due to treatment advances and early diagnoses, survival rates have improved, however this condition impacts work absenteeism due to the productive age of these women. The main factors responsible for work absenteeism are physical complications due to surgical treatment. Objective: The aim of this study is to investigate the effects of surgical breast cancer treatments on occup...

  13. Novel Function of NIBP in Breast Cancer

    Science.gov (United States)

    2012-05-01

    histologically diagnosed as invasive ductal carcinoma , 21 (7.1%) have invasive lobular carcinoma and 11 (3.8%) suffered other types of breast cancer. The...understand the molecular mechanisms for NIBP/NFB signaling in cancer cells that play a pivotal role in promoting tumor development and invasion . The...tumor formation and metastatic invasion of breast cancer cells. We anticipate that overexpression of NIBP may promote the proliferation and survival

  14. Depression and Resilience in Breast Cancer Patients

    OpenAIRE

    Gordana Ristevska-Dimitrоvska; Petar Stefanovski; Snezhana Smichkoska; Marija Raleva; Beti Dejanova

    2015-01-01

    OBJECTIVE: A significant number of breast cancer patients, during their life with the diagnosis, experience emotional distress in the form of depression and anxiety. Psychological resilience is the ability of a person to protect his/her mental health when faced with adverse circumstances such as the cancer diagnosis. This study aims to assess the resilience in breast cancer patients and to explore whether depression affects the resilience. MATERIAL AND METHODS: Two hundred eighteen (218) ...

  15. [Vitamin D and breast cancer].

    Science.gov (United States)

    Nagykálnai, Tamás; Landherr, László; Nagy, András Csaba

    2014-07-13

    The active form of vitamin D, in conjunction with his own receptor, affect a multitude of biological processes in the cell (inter alia it influences the expression of oncogenes and tumor suppressor genes). There is an increasing volume of scientific publications examining the relationships between serum vitamin D levels, vitamin D supplementation and malignant diseases. Some articles suggest inverse relationship between the low serum levels of vitamin D and the breast cancer risk and mortality, whilst other publications do not support this view. Thus the present opinion is conflicted. Vitamin D can exert a beneficial influence on the symptoms and outcomes of a large number of ailments, but its role in affecting cancer is still not completely clear.

  16. Epithelial-Mesenchymal Transition and Breast Cancer

    Directory of Open Access Journals (Sweden)

    Yanyuan Wu

    2016-01-01

    Full Text Available Breast cancer is the most common cancer in women and distant site metastasis is the main cause of death in breast cancer patients. There is increasing evidence supporting the role of epithelial-mesenchymal transition (EMT in tumor cell progression, invasion, and metastasis. During the process of EMT, epithelial cancer cells acquire molecular alternations that facilitate the loss of epithelial features and gain of mesenchymal phenotype. Such transformation promotes cancer cell migration and invasion. Moreover, emerging evidence suggests that EMT is associated with the increased enrichment of cancer stem-like cells (CSCs and these CSCs display mesenchymal characteristics that are resistant to chemotherapy and target therapy. However, the clinical relevance of EMT in human cancer is still under debate. This review will provide an overview of current evidence of EMT from studies using clinical human breast cancer tissues and its associated challenges.

  17. Outcome of breast cancer screening in Denmark

    DEFF Research Database (Denmark)

    Lynge, Elsebeth; Bak, Martin; von Euler-Chelpin, My

    2017-01-01

    Region than in the rest of Denmrk. Detection rate was slightly below 1% at first screen, 0.6% at subsequent screens, and one region had some fluctuation over time. Ductal carcinoma in situ (DCIS) constituted 13-14% of screen-detected cancers. In subsequent rounds, 80% of screen-detected invasive cancers...... were node negative and 40% ≤10 mm. False-positive rate was around 2%; higher for North Denmark Region than for the rest of Denmark. Three out of 10 breast cancers in screened women were diagnosed as interval cancers. Conclusions: High coverage by examination and low interval cancer rate are required...... for screening to decrease breast cancer mortality. Two pioneer local screening programs starting in the 1990s were followed by a decrease in breast cancer mortality of 22-25%. Coverage by examination and interval cancer rate of the national program were on the favorable side of values from the pioneer programs...

  18. Outcome of breast cancer screening in Denmark

    DEFF Research Database (Denmark)

    Lynge, Elsebeth; Bak, Martin; von Euler-Chelpin, My

    2017-01-01

    were node negative and 40% ≤10 mm. False-positive rate was around 2%; higher for North Denmark Region than for the rest of Denmark. Three out of 10 breast cancers in screened women were diagnosed as interval cancers. Conclusions: High coverage by examination and low interval cancer rate are required...... for screening to decrease breast cancer mortality. Two pioneer local screening programs starting in the 1990s were followed by a decrease in breast cancer mortality of 22-25%. Coverage by examination and interval cancer rate of the national program were on the favorable side of values from the pioneer programs...... calculated coverage by examination; participation after invitation; detection-, interval cancer- and false-positive rates; cancer characteristics; sensitivity and specificity, for Denmark and for the five regions. Results: At the national level coverage by examination remained at 75-77%; lower in the Capital...

  19. Risk of treatment-related esophageal cancer among breast cancer survivors

    DEFF Research Database (Denmark)

    Morton, L M; Gilbert, E S; Hall, P

    2012-01-01

    Radiotherapy for breast cancer may expose the esophagus to ionizing radiation, but no study has evaluated esophageal cancer risk after breast cancer associated with radiation dose or systemic therapy use.......Radiotherapy for breast cancer may expose the esophagus to ionizing radiation, but no study has evaluated esophageal cancer risk after breast cancer associated with radiation dose or systemic therapy use....

  20. Combination Immunotherapy for the Treatment of High-Risk HER2-Positive Breast Cancer

    Science.gov (United States)

    2015-10-01

    1 AWARD NUMBER: W81XWH-14-1-0109 TITLE: Combination Immunotherapy for the Treatment of High-Risk HER2-Positive Breast Cancer PRINCIPAL...Report 3. DATES COVERED 4. TITLE AND SUBTITLE Combination Immunotherapy for the Treatment of High-Risk HER2Positive Breast Cancer 5a. CONTRACT NUMBER...HER2-positive, immunotherapy , vaccines, NeuVax, clinical trial 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18. NUMBER OF PAGES 19a