Somatic Mutation Profiling in Head and Neck Paragangliomas

遗传学 种系突变 SDHD公司 生殖系 生物 杂合子丢失 体细胞 副神经节瘤 SDHB系统 基因 桑格测序 突变 背景(考古学) 等位基因 医学 病理 古生物学
作者
Maria V. Savvateeva,Anna V. Kudryavtseva,Elena Lukyanova,Anastasiya A. Kobelyatskaya,Vladislav Pavlov,Maria Fedorova,Elena A. Pudova,Zulfiya G. Guvatova,Д. В. Калинин,Alexander L. Golovyuk,Elizaveta V. Bulavkina,И. В. Катунина,George S. Krasnov,Anastasiya V. Snezhkina
出处
期刊:The Journal of Clinical Endocrinology and Metabolism [Oxford University Press]
卷期号:107 (7): 1833-1842 被引量:12
标识
DOI:10.1210/clinem/dgac250
摘要

Abstract Context Head and neck paragangliomas (HNPGLs) are rare neoplasms with a high degree of heritability. Paragangliomas present as polygenic diseases caused by combined alterations in multiple genes; however, many driver changes remain unknown. Objective The objective of the study was to analyze somatic mutation profiles in HNPGLs. Methods Whole-exome sequencing of 42 tumors and matched normal tissues obtained from Russian patients with HNPGLs was carried out. Somatic mutation profiling included variant calling and utilizing MutSig and SigProfiler packages. Results 57% of patients harbored germline and somatic variants in paraganglioma (PGL) susceptibility genes or potentially related genes. Somatic variants in novel genes were found in 17% of patients without mutations in any known PGL-related genes. The studied cohort was characterized by 6 significantly mutated genes: SDHD, BCAS4, SLC25A14, RBM3, TP53, and ASCC1, as well as 4 COSMIC single base substitutions (SBS)-96 mutational signatures (SBS5, SBS29, SBS1, and SBS7b). Tumors with germline variants specifically displayed SBS11 and SBS19, when an SBS33-specific mutational signature was identified for cases without those. Beta allele frequency analysis of copy number variations revealed loss of heterozygosity of the wild-type allele in 1 patient with germline mutation c.287-2A>G in the SDHB gene. In patients with germline mutation c.A305G in the SDHD gene, frequent potential loss of chromosome 11 was observed. Conclusion These results give an understanding of somatic changes and the mutational landscape associated with HNPGLs and are important for the identification of molecular mechanisms involved in tumor development.

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