Inference of patient-specific subpathway activities reveals a functional signature associated with the prognosis of patients with breast cancer.

ABSTRACT: Breast cancer is one of the most deadly forms of cancer in women worldwide. Better prediction of breast cancer prognosis is essential for more personalized treatment. In this study, we aimed to infer patient-specific subpathway activities to reveal a functional signature associated with the prognosis of patients with breast cancer. We integrated pathway structure with gene expression data to construct patient-specific subpathway activity profiles using a greedy search algorithm. A four-subpathway prognostic signature was developed in the training set using a random forest supervised classification algorithm and a prognostic score model with the activity profiles. According to the signature, patients were classified into high-risk and low-risk groups with significantly different overall sur

SUBMITTER: Han J 

PROVIDER: S-EPMC6111825 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature