Uncovering the genetic variation spectrum of colorectal polyposis from a multicentre cohort in China.

IF 6.8 1区 医学 Q1 ONCOLOGY NPJ Precision Oncology Pub Date : 2025-03-15 DOI:10.1038/s41698-025-00864-2
Mengyuan Yang, Ding Zhang, Zhijun Yuan, Daici Chen, Haixing Ju, Bin Wu, Jie Pan, Guoli Gu, Yuehong Cui, Yanhong Gu, Dong Xu, Ying Yuan
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Abstract

This multicentre study addresses the genetic spectrum of colorectal polyposis in China. We analyzed 120 patients with over 10 adenomas using a 139-gene next-generation sequencing panel and multiplex ligation-dependent probe amplification. Findings revealed that 89 patients carried pathogenic germline variants, primarily in the APC gene. Notably, one patient had both APC and BRCA2 variants from different parental lines. Our results indicate a higher APC mutation rate compared to prior studies, primarily consisting of nonsense mutations. This research represents the first multicentre clinical investigation in China, highlighting significant differences in mutation profiles compared to the study conducted by the research team from Germany. Since patients were categorized by adenoma count, with none in the 10-19 range diagnosed with hereditary tumors, we recommend delaying genetic testing for those with fewer than 20 adenomas, while emphasizing the need for prompt testing for higher counts.

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从中国多中心队列中揭示结直肠息肉病的遗传变异谱。
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来源期刊
CiteScore
9.90
自引率
1.30%
发文量
87
审稿时长
18 weeks
期刊介绍: Online-only and open access, npj Precision Oncology is an international, peer-reviewed journal dedicated to showcasing cutting-edge scientific research in all facets of precision oncology, spanning from fundamental science to translational applications and clinical medicine.
期刊最新文献
Prediction and analysis of tumor infiltrating lymphocytes across 28 cancers by TILScout using deep learning. Revealing neuroendocrine transformation in gynecological cancers through genomic analysis. Uncovering the genetic variation spectrum of colorectal polyposis from a multicentre cohort in China. Deep learning models in classifying primary bone tumors and bone infections based on radiographs. Lethal co-expression intolerance underlies the mutually exclusive expression of ASCL1 and NEUROD1 in SCLC cells.
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