Novel Predictors of Breast Cancer Survival Derived from miRNA Activity Analysis.
Ontology highlight
ABSTRACT: Purpose: Breast cancer is among the leading causes of cancer-related death; discovery of novel prognostic markers is needed to improve outcomes. Combining systems biology and epidemiology, we investigated miRNA-associated genes and breast cancer survival in a well-characterized population-based study.Experimental Design: A recently developed algorithm, ActMiR, was used to identify key miRNA "activities" corresponding to target gene degradation, which were predictive of breast cancer mortality in published databases. We profiled miRNA-associated genes in tumors from our well-characterized population-based cohort of 606 women with first primary breast cancer. Cox proportional hazards models were used to estimate HRs and 95% confidence intervals (CI), after 15+ years of f
SUBMITTER: Aushev VN
PROVIDER: S-EPMC6103440 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA