Tianfu Zeng, Haotian Liao, Lin Xia, Siyao You, Yanqun Huang, Jiaxun Zhang, Yahui Liu, Xuyan Liu, Dan Xie
{"title":"Multisite long-read sequencing reveals the early contribution of somatic structural variations to HBV-related hepatocellular carcinoma tumorigenesis","authors":"Tianfu Zeng, Haotian Liao, Lin Xia, Siyao You, Yanqun Huang, Jiaxun Zhang, Yahui Liu, Xuyan Liu, Dan Xie","doi":"10.1101/gr.279617.124","DOIUrl":null,"url":null,"abstract":"Somatic structural variations (SVs) represent a critical category of genomic mutations in hepatocellular carcinoma (HCC). However, the accurate identification of somatic SVs using short-read high-throughput sequencing (HTS) is challenging. Here, we applied long-read nanopore sequencing and multisite sampling in a cohort of 42 samples from five patients. We discovered a prominent presence of somatic SVs in adjacent nontumor tissues, which significantly differed from somatic single nucleotide variants (SNVs) and copy number variations (CNVs). The types of SVs were markedly different between adjacent nontumor and tumor tissues, with somatic insertions (INSs) and deletions (DELs) serving as early genomic alterations associated with HCC. Notably, hepatitis B virus (HBV) DNA integration frequently resulted in the generation of somatic SVs, particularly inducing interchromosomal translocations. While HBV DNA integration into the liver genome occurs randomly, multisite shared HBV-induced SVs are implicated as early driving events in the pathogenesis of HCC. Long-read RNA sequencing revealed that some HBV-induced SVs impact cancer-associated genes, with translocations being capable of inducing the formation of fusion genes. These findings enhance our understanding of somatic SVs in HCC and their role in early tumorigenesis.","PeriodicalId":12678,"journal":{"name":"Genome research","volume":"10 1","pages":""},"PeriodicalIF":6.2000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genome research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1101/gr.279617.124","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Somatic structural variations (SVs) represent a critical category of genomic mutations in hepatocellular carcinoma (HCC). However, the accurate identification of somatic SVs using short-read high-throughput sequencing (HTS) is challenging. Here, we applied long-read nanopore sequencing and multisite sampling in a cohort of 42 samples from five patients. We discovered a prominent presence of somatic SVs in adjacent nontumor tissues, which significantly differed from somatic single nucleotide variants (SNVs) and copy number variations (CNVs). The types of SVs were markedly different between adjacent nontumor and tumor tissues, with somatic insertions (INSs) and deletions (DELs) serving as early genomic alterations associated with HCC. Notably, hepatitis B virus (HBV) DNA integration frequently resulted in the generation of somatic SVs, particularly inducing interchromosomal translocations. While HBV DNA integration into the liver genome occurs randomly, multisite shared HBV-induced SVs are implicated as early driving events in the pathogenesis of HCC. Long-read RNA sequencing revealed that some HBV-induced SVs impact cancer-associated genes, with translocations being capable of inducing the formation of fusion genes. These findings enhance our understanding of somatic SVs in HCC and their role in early tumorigenesis.
期刊介绍:
Launched in 1995, Genome Research is an international, continuously published, peer-reviewed journal that focuses on research that provides novel insights into the genome biology of all organisms, including advances in genomic medicine.
Among the topics considered by the journal are genome structure and function, comparative genomics, molecular evolution, genome-scale quantitative and population genetics, proteomics, epigenomics, and systems biology. The journal also features exciting gene discoveries and reports of cutting-edge computational biology and high-throughput methodologies.
New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are presented electronically on the journal''s web site where appropriate. The journal also provides Reviews, Perspectives, and Insight/Outlook articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context.