An integrated model of clinical information and gene expression for prediction of survival in breast cancer patients

摘要

A model that combines clinical data and genetic characteristics to predict patients with breast cancer survival is investigated in this paper. Accumulating evidence shows that clinical factors alone are not adequate for predicting the survival of patients with breast cancer, and many genes have been found to be associated with breast cancer prognosis. The objective of this study was to develop a model that integrates clinical information and genes to predict the survival durations of patients diagnosed with breast cancer. The clinical data of 531 breast cancer patients and 63 normal control groups were collected. Meanwhile, the mRNAs expression profile was constructed. Univariate Cox regression, the 2-sided log-rank test, multivariate Cox regression and ridge regression were used to obtain a prognostic index consisting of 4 clinical variables and 35 mRNAs. The area under the curve of the receiver operating characteristic of the integrated clinical and gene model was 0.67322, larger than that of the clinical alone model (0.62535) or the gene alone model (0.61989). Breast cancer patients in the high-risk group had a significantly shorter overall survival time compared with patients in the low-risk group.