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

HY Chang, DSA Nuyten, JB Sneddon… - Proceedings of the …, 2005 - National Acad Sciences
HY Chang, DSA Nuyten, JB Sneddon, T Hastie, R Tibshirani, T Sørlie, H Dai, YD He
Proceedings of the national academy of sciences, 2005National Acad Sciences
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 …
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”).
National Acad Sciences