The prediction models for postoperative overall survival and disease-free survival in patients with breast cancer.

ABSTRACT: The goal of this study is to establish a method for predicting overall survival (OS) and disease-free survival (DFS) in breast cancer patients after surgical operation. The gene expression profiles of cancer tissues from the patients, who underwent complete surgical resection of breast cancer and were subsequently monitored for postoperative survival, were analyzed using cDNA microarrays. We detected seven and three probes/genes associated with the postoperative OS and DFS, respectively, from our discovery cohort data. By incorporating these genes associated with the postoperative survival into MammaPrint genes, often used to predict prognosis of patients with early-stage breast cancer, we constructed postoperative OS and DFS prediction models from the discovery cohort data using a Cox pro

SUBMITTER: Shigemizu D 

PROVIDER: S-EPMC5504310 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature