BACKGROUND
Approximately 5% of renal cell carcinoma (RCC) occurs in the setting of a hereditary RCC syndrome, but accurate phenotype and cancer risk estimates remain limited by ascertainment bias in reported series.
METHODS
We analyzed 32,728 cancer patients who underwent paired tumor-normal sequencing with MSK-IMPACT for germline pathogenic variants (PVs) in RCC hereditary syndrome genes VHL, FLCN, BAP1, MET, SDHB, FH, and proposed RCC risk variants MITF E318K and FH K477dup. We integrated clinical, tumor immunohistochemistry, and genomic data. We performed burden testing across tumor types and, using case-control analysis, validated novel gene-cancer associations with UK Biobank data.
RESULTS
Germline PVs diagnostic of hereditary RCC syndromes were identified in 109 of 32,728 patients (0.33%), including 3.6% of RCC cases. Only 61.5% of carriers met clinical criteria for their syndromes and most patients were undiagnosed prior to testing. Using burden testing, we confirm and suggest novel cancer associations, including BAP1 PVs in hepatobiliary cancers and FLCN in colorectal cancer. We independently validated in the UK Biobank the association of FLCN and colorectal cancer, but analysis of BAP1 and hepatobiliary was limited by small numbers. Tumor analyses demonstrated biallelic inactivation in syndromic tumors and supported pathogenic roles for BAP1 in hepatobiliary cancers and FLCN in colorectal cancers. The FH K477dup pathogenic variant appears to lack association with RCC risk and there was weak evidence for association of MITF E318K.
CONCLUSIONS
Using large, unselected pan-cancer cohorts and integrated tumor and genomic analysis can help refine the phenotype of rare cancer predisposition syndromes.
M. Carlo, Andrew Schroeder, Jie Liu et al.· Journal of the National Canc...· 0 citations
Bladder cancer is the ninth most common cancer worldwide, caused by genetic and environmental risk factors. Here, we report the findings of a multi-population meta-analysis of genome-wide association studies, including 32,470 individuals with and 1,753,462 without bladder cancer. We identify 70 independent risk loci, of which 43 are novel. Using a 70-marker polygenic risk score (HR = 1.63 per standard deviation), we increase the area under the curve from 0.71 (baseline risk model) to 0.75. Integrative analyses reveal the enrichment of the associated variants within accessible chromatin regions, and of the prioritized genes within pathways for xenobiotic metabolism and smoking behavior. Specifically, we show that the 15q25.1 variant rs71581744-ACCCC/A co-localizes with tissue-specific CHRNA3 expression, modulates mRNA stability, and associates with risk of muscle-invasive bladder cancer among current smokers. Together, these findings substantially expand the known genetic architecture of bladder cancer risk and highlight the germline regulation of smoking behavior as a mechanism driving bladder cancer susceptibility. This study integrates genetic data from diverse populations to identify 70 loci linked to bladder cancer risk, including 43 novel, and uses experimental approaches to uncover how inherited variation influences this risk in the context of smoking.
L. Prokunina-Olsson, O. Flórez-Vargas, Michael G. Levin et al.· Nature Communications· 0 citations
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