Radiation Response Prediction Model Based on Integrated Clinical and Genomic Data Analysis.

ABSTRACT:

Purpose

The value of the genomic profiling by targeted gene-sequencing on radiation therapy response prediction was evaluated through integrated analysis including clinical information. Radiation response prediction model was constructed based on the analyzed findings.

Materials and methods

Patients who had the tumor sequenced using institutional cancer panel after informed consent and received radiotherapy for the measurable disease served as the target cohort. Patients with irradiated tumor locally controlled for more than 6 months after radiotherapy were defined as the durable local control (DLC) group, otherwise, non-durable local control (NDLC) group. Significant genomic factors and domain knowledge were used to develop the Bayesian Network model to predict radiotherapy

SUBMITTER: Jang BS 

PROVIDER: S-EPMC9016297 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature