Gene expression signature predicts radiation sensitivity in cell lines using the integral of dose-response curve.

ABSTRACT:

Background

Although substantial efforts have been made to build molecular biomarkers to predict radiation sensitivity, the ability to accurately stratify the patients is still limited. In this study, we aim to leverage large-scale radiogenomics datasets to build genomic predictors of radiation response using the integral of the radiation dose-response curve.

Methods

Two radiogenomics datasets consisting of 511 and 60 cancer cell lines were utilized to develop genomic predictors of radiation sensitivity. The intrinsic radiation sensitivity, defined as the integral of the dose-response curve (AUC) was used as the radioresponse variable. The biological determinants driving AUC and SF2 were compared using pathway analysis. To build the predictive model, the largest and smallest

SUBMITTER: Kolnohuz A 

PROVIDER: S-EPMC10763485 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature