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Identification of a 9-gene signature to enhance biochemical recurrence prediction in primary prostate cancer: A benchmarking study using ten machine learning methods and twelve patient cohorts

Wenjun Yin, Guo Chen, Yutong Li, Ruidong Li, Zhenyu Jia, Chuanfan Zhong, Shuo Wang, Xiangming Mao, Zhouda Cai, Junhong Deng, Weide Zhong, Bin Pan, Jianming Lü, Jianming Lü

2024Cancer Letters17 citationsDOI

Topics & Concepts

Biochemical recurrenceProstate cancerbreakpoint cluster regionProstatectomyMedicineOncologyInternal medicineMalignancyRadiation therapyGene signatureClinical endpointMetastasisCancerBioinformaticsBiologyGeneClinical trialGene expressionReceptorBiochemistryProstate Cancer Treatment and ResearchProstate Cancer Diagnosis and TreatmentCancer, Lipids, and Metabolism
Identification of a 9-gene signature to enhance biochemical recurrence prediction in primary prostate cancer: A benchmarking study using ten machine learning methods and twelve patient cohorts | Litcius