Radiogenomics and Radiotherapy Response Modeling

Overview

Journal Phys Med Biol

Publisher IOP Publishing

Specialties Biophysics
Nuclear Medicine
Radiology

Date 2017 Jun 29

PMID 28657906

Citations 29

Authors

Issam El Naqa

Sarah L Kerns

James Coates

Yi Luo

Corey Speers

Catharine M L West

Barry S Rosenstein

Randall K Ten Haken

Affiliations

Soon will be listed here.

Abstract

Advances in patient-specific information and biotechnology have contributed to a new era of computational medicine. Radiogenomics has emerged as a new field that investigates the role of genetics in treatment response to radiation therapy. Radiation oncology is currently attempting to embrace these recent advances and add to its rich history by maintaining its prominent role as a quantitative leader in oncologic response modeling. Here, we provide an overview of radiogenomics starting with genotyping, data aggregation, and application of different modeling approaches based on modifying traditional radiobiological methods or application of advanced machine learning techniques. We highlight the current status and potential for this new field to reshape the landscape of outcome modeling in radiotherapy and drive future advances in computational oncology.

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