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211
Breast Cancer Prognosis via Gaussian Mixture Regression
"... This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method in predicting breast cancer recurrence time in patients that have undergone cancer excision. It is shown that the GMR-base ..."
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This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method in predicting breast cancer recurrence time in patients that have undergone cancer excision. It is shown that the GMR-based
CONSENSUS CLUSTERING AND FUZZY CLASSIFICATION FOR BREAST CANCER PROGNOSIS
"... Extracting usable and useful knowledge from large and complex data sets is a difficult and challenging problem. In this paper, we show how two complementary tech-niques have been used to tackle this problem in the con-text of breast cancer. Diagnosis concerns the identifica-tion of cancer within a p ..."
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induction and simplification algorithms to generate a simple, comprehensible set of rules for use in future model-based classification. The methods are de-scribed and their use is illustrated on real-world data.
BIOINFORMATICS Improved Breast Cancer Prognosis through the Combination of Clinical and Genetic Markers
"... Motivation: Accurate prognosis of breast cancer can spare a significant number of breast cancer patients from receiving unnecessary adjuvant systemic treatment and its related expensive medical costs. Recent studies have demonstrated the potential value of gene expression signatures in assessing the ..."
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the risk of post-surgical disease recurrence. However, these studies all attempt to develop genetic marker-based prognostic systems to replace the existing clinical criteria, while ignoring the rich information contained in established clinical markers. Given the complexity of breast cancer prognosis, a
Research Article Breast Cancer Prognosis Risk Estimation Using Integrated Gene Expression and Clinical Data
"... Copyright © 2014 Ashish Saini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background. Novel prognostic markers are needed ..."
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so newly diagnosed breast cancer patients do not undergo any unnecessary therapy. Various microarray gene expression datasets based studies have generated gene signatures to predict the prognosis outcomes, while ignoring the large amount of information contained in established clinical markers
Clinical Proteomics of Breast Cancer
"... Abstract: Despite the lifetimes that increased in breast cancers due to the the early screening programs and new therapeutic strategies, many cases still are being lost due to the metastatic relapses. For this reason, new approaches such as the proteomic techniques have currently become the prime ob ..."
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Cited by 2 (0 self)
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objectives of breast cancer researches. Various omic-based techniques have been applied with increasing success to the molecular characterisation of breast tumours, which have resulted in a more detailed classification scheme and have produced clinical diagnostic tests that have been applied to both
REVIEW Choosing the right cell line for breast cancer research
"... Breast cancer is a complex and heterogeneous disease. Gene expression profiling has contributed significantly to our understanding of this heterogeneity at a molecular level, refining taxonomy based on simple measures such as histological type, tumour grade, lymph node status and the presence of pre ..."
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Cited by 45 (0 self)
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of predictive markers like oestrogen receptor and human epidermal growth factor receptor 2 (HER2) to a more sophisticated classification comprising luminal A, luminal B, basal-like, HER2-positive and normal subgroups. In the laboratory, breast cancer is often modelled using established cell lines
Editorial The Unmet Clinical Need for New Molecular Genetic Markers in the Prognosis and Therapeutic Management of Breast Cancer
"... Adenocarcinoma of the breast is aleading cause of cancer mortal-ity among women in the United States, with an estimated 200 000 new cases and 40 000 deaths occurring each year.1 The successful treatment of breast cancer is dependent on a number of complex factors, including the discovery of the tumo ..."
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of the tumor early in its course of development, the biology underlying the clinical course of the disease, and the selection and suc-cessful completion of the most appro-priate treatment for an individual pa-tient. The decision to stratify newly diagnosed breast cancer patients re-garding the need
EDITORIAL Appraisal of progenitor markers in the context of molecular classification of breast cancers
"... Clinical management of breast cancer relies on case stratification, which increasingly employs molecular markers. The motivation behind delineating breast epithelial differentiation is to better target cancer cases through innate sensitivities bequeathed to the cancer from its normal progenitor stat ..."
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Clinical management of breast cancer relies on case stratification, which increasingly employs molecular markers. The motivation behind delineating breast epithelial differentiation is to better target cancer cases through innate sensitivities bequeathed to the cancer from its normal progenitor
Prognosis of Premenopausal Breast Cancer and Childbirth Prior to Diagnosis
"... The time interval between last childbirth and subsequent breast cancer diagnosis is emerging as an important prognostic factor for premenopausal women. Patients and Methods We studied, prospectively, 750 women diagnosed with primary invasive breast cancer before age 45 years who participated in the ..."
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in the population-based Australian Breast Cancer Family Study (ABCFS). Results Median follow-up time was 4.9 years (range, 0.8 to 10.8 years). Compared with nulliparous women, women who gave birth within 2 years prior to diagnosis were more likely to have axillary node–positive (58 % v 41%; P .01), and estrogen
Accurate and Reliable Cancer Classification Based on Probabilistic Inference of Pathway Activity
, 2009
"... With the advent of high-throughput technologies for measuring genome-wide expression profiles, a large number of methods have been proposed for discovering diagnostic markers that can accurately discriminate between different classes of a disease. However, factors such as the small sample size of ty ..."
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Cited by 21 (2 self)
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of typical clinical data, the inherent noise in high-throughput measurements, and the heterogeneity across different samples, often make it difficult to find reliable gene markers. To overcome this problem, several studies have proposed the use of pathway-based markers, instead of individual gene markers
Results 1 - 10
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211