Robust interlaboratory reproducibility of a gene expression signature measurement consistent with the needs of a new generation of diagnostic tools

Publication Name: BMC Genomics

Author(s): Robert A Ach, Arno Floore, Bo Curry, Vladimir Lazar, Annuska M Glas, Rob Pover, Anya Tsalenko, Hugues Ripoche, Fatima Cardoso, Mahasti Saghatchian d'Assignies, Laurakay Bruhn and Laura J Van't Veer

Background: The increasing use of DNA microarrays in biomedical research, toxicogenomics, pharmaceutical development, and diagnostics has focused attention on the reproducibility and reliability of microarray measurements. While the reproducibility of microarray gene expression measurements has been the subject of several … Continued

Microarray analysis and tumor classification.

Publication Name: New England Journal of Medicine

Author(s): J. Quackenbush, Ph.D.

DNA microarray analysis was first described in the mid-1990s as a means to probe the expression of thousands of genes simultaneously(1,2) and was quickly adopted by the research community for the study of a wide range of biologic processes. Most … Continued

Concordance among Gene-Expression– Based Predictors for Breast Cancer

Publication Name: The New England Journal of Medicine

Author(s): Cheng Fan, M.S., Daniel S. Oh, Ph.D., Lodewyk Wessels, Ph.D., Britta Weigelt, Ph.D., Dimitry S.A. Nuyten, M.D., Andrew B. Nobel, Ph.D., Laura J. van’t Veer, Ph.D., and Charles M. Perou, Ph.D.

Background Gene expression profiling studies of primary breast tumors performed by different laboratories have resulted in the identification of a number of distinct prognostic profiles, or gene sets, with little overlap in terms of gene identity. Methods To compare the … Continued

A Gene-Expression Signature as a Predictor of Survival in Breast Cancer.

Publication Name: New England Journal of Medicine

Author(s): Marc J. van de Vijver, M.D., Ph.D., Yudong D. He, Ph.D., Laura J. van 't Veer, Ph.D., Hongyue Dai, Ph.D., Augustinus A.M. Hart, M.Sc., Dorien W. Voskuil, Ph.D., George J. Schreiber, M.Sc., Johannes L. Peterse, M.D., Chris Roberts, Ph.D., Matthew J. Marton, Ph.D., Mark Parrish, Douwe Atsma, Anke Witteveen, Annuska Glas, Ph.D., Leonie Delahaye, Tony van der Velde, Harry Bartelink, M.D., Ph.D., Sjoerd Rodenhuis, M.D., Ph.D., Emiel T. Rutgers, M.D., Ph.D., Stephen H. Friend, M.D., Ph.D., and René Bernards, Ph.D.

Background: A more accurate means of prognostication in breast cancer will improve the selection of patients for adjuvant systemic therapy. Methods: Using microarray analysis to evaluate our previously established 70-gene prognosis profile, we classified a series of 295 consecutive patients … Continued

Gene expression profiling predicts clinical outcome of breast cancer

Publication Name: Nature

Author(s): Laura J. van 't Veer, Hongyue Dai, Marc J. van de Vijver, Yudong D. He, Augustinus A. M. Hart, Mao Mao, Hans L. Peterse, Karin van der Kooy, Matthew J. Marton, Anke T. Witteveen, George J. Schreiber, Ron M. Kerkhoven, Chris Roberts, Peter S. Linsley, René Bernards & Stephen H. Friend

Breast cancer patients with the same stage of disease can have markedly different treatment responses and overall outcome. The strongest predictors for metastases (for example, lymph node status and histological grade) fail to classify accurately breast tumors according to their … Continued

Molecular Portraits of Human Breast Tumours

Publication Name: Nature

Author(s): Charles M. Perou, Therese Sùrlie, Michael B. Eisen, Matt van de Rijn, Stefanie S. Jeffreyk, Christian A. Rees

Human breast tumours are diverse in their natural history and in their responsiveness to treatments1. Variation in transcriptional programs accounts for much of the biological diversity of human cells and tumours. In each cell, signal transduction and regulatory systems transduce … Continued