Harnessing population pedigree data and machine learning methods to identify patterns of familial bladder cancer risk
Cancer Epidemiology, Biomarkers & Prevention Mar 05, 2020
Hanson HA, Leiser CL, O'Neil B, et al. - Given an elevated risk for kidney, lung, thyroid, and cervical cancer has been reported in relatives of bladder cancer (BCa) patients, after correcting for smoking-associated behaviors that may concentrate in some families, researchers report a new strategy to simultaneously evaluate risks for multiple cancers to recognize different multi-cancer configurations (multiple different cancer types that cluster in relatives) surrounding familial BCa patients, by utilizing the Utah Population Database. Relative to population controls, a total of 1,023 families exhibiting significantly higher BCa rates were identified. Experts discovered five familial BCa Familial Multi-Cancer Configurations demonstrating unique risk patterns for cancers of other organs, indicating phenotypic heterogeneity familial BCa. A total of 25 cancer types were examined, of those, cancers most commonly enriched in the familial BCa clusters were those of kidney and prostate. The other cancer types with a raised incidence in familial BCa families were: laryngeal, lung, stomach, acute-lymphocytic leukemia, Hodgkin's disease, soft tissue carcinoma, esophageal, breast, lung, uterine, thyroid, and melanoma cancers.
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