Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival

被引:713
作者
Chang, HY
Nuyten, DSA
Sneddon, JB
Hastie, T
Tibshirani, R
Sorlie, T
Dai, HY
He, YDD
van't Veer, LJ
Bartelink, H
van de Rijn, M
Brown, PO
van de Vijver, MJ
机构
[1] Netherlands Canc Inst, Dept Diagnost Oncol, NL-1066 CX Amsterdam, Netherlands
[2] Stanford Univ, Sch Med, Program Epithelial Biol, Stanford, CA 94305 USA
[3] Stanford Univ, Sch Med, Dept Biochem, Stanford, CA 94305 USA
[4] Stanford Univ, Sch Med, Dept Hlth Res & Policy, Stanford, CA 94305 USA
[5] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA 94305 USA
[6] Stanford Univ, Sch Med, Howard Hughes Med Inst, Stanford, CA 94305 USA
[7] Netherlands Canc Inst, Dept Radiat Oncol, NL-1066 CX Amsterdam, Netherlands
[8] Rosetta Inpharmat, Seattle, WA 98109 USA
[9] Norwegian Radium Hosp, N-0310 Oslo, Norway
关键词
microarray; prognosis; wound healing; metastasis; treatment decision;
D O I
10.1073/pnas.0409462102
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
Based on the hypothesis that features of the molecular program of normal wound healing might play an important role in cancer metastasis, we previously identified consistent features in the transcriptional response of normal fibroblasts to serum, and used this "wound-response signature" to reveal links between wound healing and cancer progression in a variety of common epithelial tumors. Here, in a consecutive series of 295 early breast cancer patients, we show that both overall survival and distant metastasis-free survival are markedly diminished in patients whose tumors expressed this wound-response signature compared to tumors that did not express this signature. A gene expression centroid of the wound-response signature provides a basis for prospectively assigning a prognostic score that can be scaled to suit different clinical purposes. The wound-response signature improves risk stratification independently of known clinico-pathologic risk factors and previously established prognostic signatures based on unsupervised hierarchical clustering ("molecular subtypes") or supervised predictors of metastasis ("70-gene prognosis signature").
引用
收藏
页码:3738 / 3743
页数:6
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