Predicting the germline dependence of hematuria risk in prostate cancer radiotherapy patients

•A machine learning-based genetic model was developed to predict the risk of radiation-induced hematuria using genome-wide single nucleotide polymorphisms (SNPs) data.•The predictive model distinguished the high-risk group from the low-risk group in the validation data with the odds ratio of 2.87.•P...

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Veröffentlicht in:	Radiotherapy and oncology 2023-08, Vol.185, p.109723-109723, Article 109723
Hauptverfasser:	Oh, Jung Hun, Lee, Sangkyu, Thor, Maria, Rosenstein, Barry S., Tannenbaum, Allen, Kerns, Sarah, Deasy, Joseph O.
Format:	Artikel
Sprache:	eng
Schlagworte:	Genome-wide association studies Genome-Wide Association Study - methods Germ Cells Hematuria Hematuria - genetics Humans Machine learning Male Polymorphism, Single Nucleotide Prostatic Neoplasms - drug therapy Prostatic Neoplasms - genetics Prostatic Neoplasms - radiotherapy Radiotherapy Single nucleotide polymorphism Urinary Bladder
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