Using publicly available datasets to identify population-based transcriptomic landscape contributing to the aggressiveness of breast cancer in young women.

ABSTRACT: Introduction: Although the risk of breast cancer increases with advancing age, some regions have larger number of young breast cancer patients (≤45 years-old), such as the Middle East, Eastern Asia, and North Africa, with more aggressive and poorly differentiated tumors. We aimed to conduct an in-silico analysis in an attempt to understand the aggressive nature of early-onset breast cancer, and to identify potential drivers of early-onset breast cancer using gene expression profiling datasets in a population-dependent manner. Methods: Functional genomics experiments data were acquired from cBioPortal database for cancer genomics, followed by the stratification of patients based on the age at representation of breast cancer and race. Differential gene expression analysi

SUBMITTER: Tabbal M 

PROVIDER: S-EPMC9845274 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature