Oncogenic pathway signatures in human cancers as a guide to targeted therapies

被引:1550
作者
Bild, AH
Yao, G
Chang, JT
Wang, QL
Potti, A
Chasse, D
Joshi, MB
Harpole, D
Lancaster, JM
Berchuck, A
Olson, JA
Marks, JR
Dressman, HK
West, M
Nevins, JR [1 ]
机构
[1] Duke Univ, Inst Genome Sci & Policy, Durham, NC 27708 USA
[2] Duke Univ, Med Ctr, Dept Mol Genet & Microbiol, Durham, NC 27710 USA
[3] Duke Univ, Med Ctr, Dept Surg, Durham, NC 27710 USA
[4] Duke Univ, Med Ctr, Dept Med, Durham, NC 27710 USA
[5] Duke Univ, Med Ctr, Dept Obstet & Gynecol, Durham, NC 27710 USA
[6] Duke Univ, Inst Stat & Decis Sci, Durham, NC 27708 USA
[7] Univ S Florida, H Lee Moffitt Canc Ctr & Res Inst, Tampa, FL 33612 USA
关键词
D O I
10.1038/nature04296
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The development of an oncogenic state is a complex process involving the accumulation of multiple independent mutations that lead to deregulation of cell signalling pathways central to the control of cell growth and cell fate(1-3). The ability to define cancer subtypes, recurrence of disease and response to specific therapies using DNA microarray-based gene expression signatures has been demonstrated in multiple studies(4). Various studies have also demonstrated the potential for using gene expression profiles for the analysis of oncogenic pathways(5-11). Here we show that gene expression signatures can be identified that reflect the activation status of several oncogenic pathways. When evaluated in several large collections of human cancers, these gene expression signatures identify patterns of pathway deregulation in tumours and clinically relevant associations with disease outcomes. Combining signature-based predictions across several pathways identifies coordinated patterns of pathway deregulation that distinguish between specific cancers and tumour subtypes. Clustering tumours based on pathway signatures further defines prognosis in respective patient subsets, demonstrating that patterns of oncogenic pathway deregulation underlie the development of the oncogenic phenotype and reflect the biology and outcome of specific cancers. Predictions of pathway deregulation in cancer cell lines are also shown to predict the sensitivity to therapeutic agents that target components of the pathway. Linking pathway deregulation with sensitivity to therapeutics that target components of the pathway provides an opportunity to make use of these oncogenic pathway signatures to guide the use of targeted therapeutics.
引用
收藏
页码:353 / 357
页数:5
相关论文
共 24 条
[1]  
Black EP, 2003, CANCER RES, V63, P3716
[2]   A comparison of normalization methods for high density oligonucleotide array data based on variance and bias [J].
Bolstad, BM ;
Irizarry, RA ;
Åstrand, M ;
Speed, TP .
BIOINFORMATICS, 2003, 19 (02) :185-193
[3]   USE OF AN AQUEOUS SOLUBLE TETRAZOLIUM FORMAZAN ASSAY FOR CELL-GROWTH ASSAYS IN CULTURE [J].
CORY, AH ;
OWEN, TC ;
BARLTROP, JA ;
CORY, JG .
CANCER COMMUNICATIONS, 1991, 3 (07) :207-212
[4]   c-MYC induces mammary tumorigenesis by means of a preferred pathway involving spontaneous Kras2 mutations [J].
D'Cruz, CM ;
Gunther, EJ ;
Boxer, RB ;
Hartman, JL ;
Sintasath, L ;
Moody, SE ;
Cox, JD ;
Ha, SI ;
Belka, GK ;
Golant, A ;
Cardiff, RD ;
Chodosh, LA .
NATURE MEDICINE, 2001, 7 (02) :235-239
[5]   Cluster analysis and display of genome-wide expression patterns [J].
Eisen, MB ;
Spellman, PT ;
Brown, PO ;
Botstein, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (25) :14863-14868
[6]  
Fearon E., 1990, CELL, V17, P671
[7]   The hallmarks of cancer [J].
Hanahan, D ;
Weinberg, RA .
CELL, 2000, 100 (01) :57-70
[8]   Gene expression predictors of breast cancer outcomes [J].
Huang, E ;
Cheng, SH ;
Dressman, H ;
Pittman, J ;
Tsou, MH ;
Horng, CF ;
Bild, A ;
Iversen, ES ;
Liao, M ;
Chen, CM ;
West, M ;
Nevins, JR ;
Huang, AT .
LANCET, 2003, 361 (9369) :1590-1596
[9]   Gene expression phenotypic models that predict the activity of oncogenic pathways [J].
Huang, E ;
Ishida, S ;
Pittman, J ;
Dressman, H ;
Bild, A ;
Kloos, M ;
D'Amico, M ;
Pestell, RG ;
West, M ;
Nevins, JR .
NATURE GENETICS, 2003, 34 (02) :226-230
[10]  
IRIZARRY RA, IN PRESS BIOSTATISTI