Modeling Cellular Response in Large-Scale Radiogenomic Databases to Advance Precision Radiotherapy.

ABSTRACT: Radiotherapy is integral to the care of a majority of patients with cancer. Despite differences in tumor responses to radiation (radioresponse), dose prescriptions are not currently tailored to individual patients. Recent large-scale cancer cell line databases hold the promise of unravelling the complex molecular arrangements underlying cellular response to radiation, which is critical for novel predictive biomarker discovery. Here, we present RadioGx, a computational platform for integrative analyses of radioresponse using radiogenomic databases. We fit the dose-response data within RadioGx to the linear-quadratic model. The imputed survival across a range of dose levels (AUC) was a robust radioresponse indicator that correlated with biological processes known to underpin the cellular res

SUBMITTER: Manem VS 

PROVIDER: S-EPMC8128135 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature