Gene expression profiling of breast cancer

被引:57
作者
Cheang, Maggie C. U. [1 ]
van de Rijn, Matt [2 ]
Nielsen, Torsten O. [1 ]
机构
[1] British Columbia Canc Agcy, Vancouver Coastal Hlth Res Inst, Genet Pathol Evaluat Ctr, Vancouver, BC V6H 3Z6, Canada
[2] Stanford Univ, Med Ctr, Dept Pathol, Stanford, CA 94305 USA
关键词
microarrays; biomarkers; molecular signatures translational research;
D O I
10.1146/annurev.pathmechdis.3.121806.151505
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
DNA microarray platforms for gene expression profiling were invented relatively recently and breast cancer has been among the earliest and most intensely studied diseases using this technology. The molecular signatures so identified help reveal the biologic spectrum of breast cancers, provide diagnostic tools as well as prognostic and predictive gene signatures, and may identify new therapeutic targets. Data are best presented in an open access format to facilitate external validation, the most crucial step in identifying robust, reproducible gene signatures suitable for clinical translation. Clinically practical applications derived from full expression profile Studies already in use include reduced versions of microarrays representing key discriminatory genes and therapeutic targets, quantitative polymerase chain reaction assays, or immunohistochemical Surrogate panels (suitable for application to standard pathology blocks). Prospective trials are now underway to determine the value of such tools for clinical decision making in breast cancer; these efforts may serve as a model for using such approaches in other tumor types.
引用
收藏
页码:67 / 97
页数:31
相关论文
共 150 条
[1]   Prospective identification of tumorigenic breast cancer cells [J].
Al-Hajj, M ;
Wicha, MS ;
Benito-Hernandez, A ;
Morrison, SJ ;
Clarke, MF .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (07) :3983-3988
[2]   Molecular characterization of the tumor microenvironment in breast cancer [J].
Allinen, M ;
Beroukhim, R ;
Cai, L ;
Brennan, C ;
Lahti-Domenici, J ;
Huang, HY ;
Porter, D ;
Hu, M ;
Chin, L ;
Richardson, A ;
Schnitt, S ;
Sellers, WR ;
Polyak, K .
CANCER CELL, 2004, 6 (01) :17-32
[3]   Selection bias in gene extraction on the basis of microarray gene-expression data [J].
Ambroise, C ;
McLachlan, GJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (10) :6562-6566
[4]   Gene expression profiles predict complete pathologic response to neoadjuvant paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide chemotherapy in breast cancer [J].
Ayers, M ;
Symmans, WF ;
Stec, J ;
Damokosh, AI ;
Clark, E ;
Hess, K ;
Lecocke, M ;
Metivier, J ;
Booser, D ;
Ibrahim, N ;
Valero, V ;
Royce, M ;
Arun, B ;
Whitman, G ;
Ross, J ;
Sneige, N ;
Hortobagyi, GN ;
Pusztai, L .
JOURNAL OF CLINICAL ONCOLOGY, 2004, 22 (12) :2284-2293
[5]   Semi-supervised methods to predict patient survival from gene expression data [J].
Bair, E ;
Tibshirani, R .
PLOS BIOLOGY, 2004, 2 (04) :511-522
[6]  
Becker M, 2005, MOL CANCER THER, V4, P151
[7]   Molecular profiles of BRCA1-mutated and matched sporadic breast tumours: relation with clinico-pathological features [J].
Berns, EMJJ ;
van Staveren, IL ;
Verhoog, L ;
van de Ouweland, AMW ;
Meijer-van Gelder, M ;
Meijers-Heijboer, H ;
Portengen, H ;
Foekens, JA ;
Dorssers, LCJ ;
Klijn, JGM .
BRITISH JOURNAL OF CANCER, 2001, 85 (04) :538-545
[8]  
Berns EMJJ, 2000, CANCER RES, V60, P2155
[9]   Gene expression profiling identifies molecular subtypes of inflammatory breast cancer [J].
Bertucci, F ;
Finetti, P ;
Rougemont, J ;
Charafe-Jauffret, E ;
Cervera, N ;
Tarpin, C ;
Nguyen, C ;
Xerri, L ;
Houlgatte, M ;
Jacquemier, J ;
Viens, P ;
Birnbaum, D .
CANCER RESEARCH, 2005, 65 (06) :2170-2178
[10]   Gene expression profiling for molecular characterization of inflammatory breast cancer and prediction of response to chemotherapy [J].
Bertucci, F ;
Finetti, P ;
Rougemont, J ;
Charafe-Jauffret, E ;
Nasser, V ;
Loriod, W ;
Camerlo, J ;
Tagett, R ;
Tarpin, C ;
Houvenaeghel, G ;
Nguyen, C ;
Maraninchi, D ;
Jacquemier, J ;
Houlgatte, R ;
Birnbaum, D ;
Viens, P .
CANCER RESEARCH, 2004, 64 (23) :8558-8565