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Article

Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.

International journal of radiation oncology, biology, physics - 1 May 2018

Lee Sangkyu, Kerns Sarah, Ostrer Harry, Rosenstein Barry, Deasy Joseph O, Oh Jung Hun

Abstract excerpt

PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of prostate cancer survivors; however, efforts to explain GU toxicity using patient and dose information have remained unsuccessful. We identified patients with a greater congenital GU toxicity risk by identifying and integrating patterns in genome-wide single nucleotide polymorphisms (SNPs). METHODS AND MATERIALS: We...

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Identifiers

PMID: 29502932
DOI: 10.1016/j.ijrobp.2018.01.054
PMCID: PMC5886789

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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