Journal ArticleDOI
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
TLDR
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.About:
This article is published in The Lancet.The article was published on 2005-02-19. It has received 2870 citations till now. The article focuses on the topics: Breast cancer & MammaPrint.read more
Citations
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Journal ArticleDOI
Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies
Brian D. Lehmann,Joshua A. Bauer,Xi Chen,Melinda E. Sanders,A. Bapsi Chakravarthy,Yu Shyr,Jennifer A. Pietenpol +6 more
TL;DR: Gen expression profiles from 21 breast cancer data sets and identified 587 TNBC cases may be useful in biomarker selection, drug discovery, and clinical trial design that will enable alignment of TNBC patients to appropriate targeted therapies.
Journal ArticleDOI
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S. Parker,Michael Mullins,Maggie C.U. Cheang,Samuel Leung,David Voduc,Tammi L. Vickery,Sherri R. Davies,Christiane Fauron,Xiaping He,Zhiyuan Hu,John Quackenbush,Inge J. Stijleman,Juan P. Palazzo,James Stephen Marron,Andrew B. Nobel,Elaine R. Mardis,Torsten O. Nielsen,Matthew J. Ellis,Charles M. Perou,Philip S. Bernard +19 more
TL;DR: D diagnosis by intrinsic subtype adds significant prognostic and predictive information to standard parameters for patients with breast cancer.
Journal ArticleDOI
An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients.
Balazs Gyorffy,András Lánczky,Aron Charles Eklund,Carsten Denkert,Jan Budczies,Qiyuan Li,Zoltan Szallasi,Zoltan Szallasi +7 more
TL;DR: An online tool to draw survival plots, which can be used to assess the relevance of the expression levels of various genes on the clinical outcome both in untreated and treated breast cancer patients, and which validated the capability of microarrays to determine estrogen receptor status in 1,231 patients.
Journal ArticleDOI
An embryonic stem cell–like gene expression signature in poorly differentiated aggressive human tumors
Ittai Ben-Porath,Matt Thomson,Vincent J. Carey,Ruping Ge,George W. Bell,Aviv Regev,Robert A. Weinberg +6 more
TL;DR: The results reveal a previously unknown link between genes associated with ES cell identity and the histopathological traits of tumors and support the possibility that these genes contribute to stem cell–like phenotypes shown by many tumors.
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.
References
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Book ChapterDOI
Nonparametric Estimation from Incomplete Observations
Edward L. Kaplan,Paul Meier +1 more
TL;DR: In this article, the product-limit (PL) estimator was proposed to estimate the proportion of items in the population whose lifetimes would exceed t (in the absence of such losses), without making any assumption about the form of the function P(t).
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
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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