Journal ArticleDOI
Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer
Jenny C. Chang,Eric C. Wooten,Anna Tsimelzon,Susan G. Hilsenbeck,M. Carolina Gutierrez,Richard M. Elledge,Syed K. Mohsin,C. Kent Osborne,Gary C. Chamness,D. Craig Allred,Peter O'Connell +10 more
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TLDR
It is postulated that gene expression profiles of the primary breast cancer can predict the response to docetaxel, and these molecular profiles could allow development of a clinical test for docetAXel sensitivity, thus reducing unnecessary treatment for women with breast cancer.About:
This article is published in The Lancet.The article was published on 2003-08-02. It has received 851 citations till now. The article focuses on the topics: Docetaxel & Breast cancer.read more
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Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.
Yixin Wang,Jan Klijn,Yi Zhang,Anieta M. Sieuwerts,Maxime P. Look,Fei Yang,Dmitri Talantov,Mieke Timmermans,Marion E. Meijer-van Gelder,Jack X. Yu,Tim Jatkoe,Els M.J.J. Berns,David Atkins,John A. Foekens +13 more
TL;DR: The ability to identify patients who have a favourable prognosis could, after independent confirmation, allow clinicians to avoid adjuvant systemic therapy or to choose less aggressive therapeutic options.
Journal ArticleDOI
Gene Expression and Benefit of Chemotherapy in Women With Node-Negative, Estrogen Receptor–Positive Breast Cancer
Soonmyung Paik,Gong Tang,Steven Shak,Chungyeul Kim,Joffre B. Baker,Wanseop Kim,Maureen T. Cronin,Frederick L. Baehner,Drew Watson,John Bryant,Joseph P. Costantino,Charles E. Geyer,D. Lawrence Wickerham,Norman Wolmark +13 more
TL;DR: The RS assay not only quantifies the likelihood of breast cancer recurrence in women with node-negative, estrogen receptor-positive breast cancer, but also predicts the magnitude of chemotherapy benefit.
Journal ArticleDOI
Breast cancer metastasis: markers and models
TL;DR: New molecular technologies, such as DNA microarrays, support the idea that metastatic capacity might be an inherent feature of breast tumours and have important implications for prognosis predicition and the understanding of metastasis.
Journal ArticleDOI
Breast Cancer Molecular Subtypes Respond Differently to Preoperative Chemotherapy
Roman Rouzier,Charles M. Perou,W. Fraser Symmans,Nuhad K. Ibrahim,Massimo Cristofanilli,Keith Anderson,Kenneth R. Hess,James Stec,James Stec,Mark Ayers,Peter Wagner,Paolo Morandi,Chang Fan,Islam Rabiul,Jeffrey S. Ross,Gabriel N. Hortobagyi,Lajos Pusztai +16 more
TL;DR: The basal-like and erbB2+ subtypes of breast cancer are more sensitive to paclitaxel- and doxorubicin-containing preoperative chemotherapy than the luminal and normal-like cancers.
Journal ArticleDOI
Biomarkers in cancer staging, prognosis and treatment selection.
TL;DR: Advances in genomics, proteomics and molecular pathology have generated many candidate biomarkers with potential clinical value, but how and when they can be integrated into clinical care is crucial.
References
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Journal ArticleDOI
Molecular portraits of human breast tumours
Charles M. Perou,Therese Sørlie,Michael B. Eisen,Matt van de Rijn,Stefanie S. Jeffrey,Christian A. Rees,Jonathan R. Pollack,Douglas T. Ross,Hilde Johnsen,Lars A. Akslen,Øystein Fluge,Alexander Pergamenschikov,Cheryl A. Williams,Shirley Zhu,Per Eystein Lønning,Anne Lise Børresen-Dale,Patrick O. Brown,David Botstein +17 more
TL;DR: Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
Journal ArticleDOI
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
Therese Sørlie,Charles M. Perou,Robert Tibshirani,Turid Aas,Stephanie Geisler,Hilde Johnsen,Trevor Hastie,Michael B. Eisen,Matt van de Rijn,Stefanie S. Jeffrey,T. Thorsen,Hanne Quist,John C. Matese,Patrick O. Brown,David Botstein,Per Eystein Lønning,Anne Lise Børresen-Dale +16 more
TL;DR: Survival analyses on a subcohort of patients with locally advanced breast cancer uniformly treated in a prospective study showed significantly different outcomes for the patients belonging to the various groups, including a poor prognosis for the basal-like subtype and a significant difference in outcome for the two estrogen receptor-positive groups.
Journal ArticleDOI
Quantitative monitoring of gene expression patterns with a complementary DNA microarray.
TL;DR: A high-capacity system was developed to monitor the expression of many genes in parallel by means of simultaneous, two-color fluorescence hybridization, which enabled detection of rare transcripts in probe mixtures derived from 2 micrograms of total cellular messenger RNA.
Journal ArticleDOI
Gene expression profiling predicts clinical outcome of breast cancer
Laura J. van't Veer,Hongyue Dai,Marc J. van de Vijver,Yudong D. He,Augustinus A. M. Hart,Mao Mao,Hans Peterse,Karin van der Kooy,Matthew J. Marton,Anke T. Witteveen,George J. Schreiber,Ron M. Kerkhoven,Christopher J. Roberts,Peter S. Linsley,René Bernards,Stephen H. Friend +15 more
TL;DR: DNA microarray analysis on primary breast tumours of 117 young patients is used and supervised classification is applied to identify a gene expression signature strongly predictive of a short interval to distant metastases (‘poor prognosis’ signature) in patients without tumour cells in local lymph nodes at diagnosis, providing a strategy to select patients who would benefit from adjuvant therapy.
Journal ArticleDOI
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Marc J. van de Vijver,Yudong D. He,Laura J. van't Veer,Hongyue Dai,Augustinus A. M. Hart,D.W. Voskuil,George J. Schreiber,Johannes L. Peterse,Christopher J. Roberts,Matthew J. Marton,Mark Parrish,Douwe Atsma,Anke T. Witteveen,Annuska M. Glas,Leonie J. M. J. Delahaye,Tony van de Velde,Harry Bartelink,Sjoerd Rodenhuis,Emiel J. Th. Rutgers,Stephen H. Friend,René Bernards +20 more
TL;DR: The gene-expression profile studied is a more powerful predictor of the outcome of disease in young patients with breast cancer than standard systems based on clinical and histologic criteria.
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