Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Dec;16(6):1339-1352.
doi: 10.1007/s12072-022-10419-3. Epub 2022 Sep 20.

Analysis of viral integration reveals new insights of oncogenic mechanism in HBV-infected intrahepatic cholangiocarcinoma and combined hepatocellular-cholangiocarcinoma

Affiliations

Analysis of viral integration reveals new insights of oncogenic mechanism in HBV-infected intrahepatic cholangiocarcinoma and combined hepatocellular-cholangiocarcinoma

Linghao Zhao et al. Hepatol Int. 2022 Dec.

Abstract

Background: Integration of HBV DNA into the human genome could progressively contribute to hepatocarcinogenesis. Both intrahepatic cholangiocarcinoma (ICC) and combined hepatocellular-cholangiocarcinoma (CHC) are known to be associated with HBV infection. However, the integration of HBV and mechanism of HBV-induced carcinogenesis in ICC and CHC remains unclear.

Methods: 41 patients with ICC and 20 patients with CHC were recruited in the study. We conducted HIVID analysis on these 61 samples to identify HBV integration sites in both the tumor tissues and adjacent non-tumor liver tissues. To further explore the effect of HBV integration on gene alteration, we selected paired tumors and adjacent non-tumor liver tissues from 3 ICC and 4 CHC patients for RNA-seq and WGS.

Results: We detected 493 HBV integration sites in ICC patients, of which 417 were from tumor samples and 76 were from non-tumor samples. And 246 HBV integration sites were detected in CHC patients, of which 156 were located in the genome of tumor samples and 90 were in non-tumor samples. Recurrent HBV integration events were detected in ICC including TERT, ZMAT4, MET, ANKFN1, PLXNB2, and in CHC like TERT, ALKBH5. Together with our established data of HBV-infected hepatocellular carcinoma, we found that HBV preferentially integrates into the specific regions which may affect the gene expression and regulation in cells and involved in carcinogenesis. We further performed genomic and transcriptomic sequencing of three ICC and four CHC patients, and found that HBV fragments could integrate near some important oncogene like TERT, causing large-scale genome variations on nearby genomic sequences, and at the same time changing the expression level of the oncogenes.

Conclusion: Comparative analysis demonstrates numerous newly discovered mutational events in ICC and CHC resulting from HBV insertions in the host genome. Our study provides an in-depth biological and clinical insights into HBV-induced ICC and CHC.

Keywords: Combined hepatocellular-cholangiocarcinoma; HBV integration; Hepatitis B virus; Intrahepatic cholangiocarcinoma.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
HBV integrations’ distribution in our samples. a HBV integration rate in tumor and non-tumor tissues of ICC samples; b HBV integration rate in tumor and non-tumor tissues of CHC samples; c the comparison of HBV breakpoint numbers between tumor and non-tumor tissues in ICC; d the comparison of HBV breakpoint numbers between tumor and non-tumor tissues in CHC; e the overview of clinical indicators, number of HBV integrations in each sample, and HBV integrations profiles in the genes of recurrent genes of high frequency
Fig. 2
Fig. 2
HBV integration breakpoints across human genome. a Sample frequency of integration breakpoints in ICC patients; b sample frequency of integration breakpoints in CHC patients; each bar represents the sample frequency of HBV integration breakpoints at a particular locus in the human genome (hg38). Tumor (red) and non-tumor (blue) samples with HBV integrations are shown on the inner and outer circles, respectively. Histogram axis units represent number of samples. Some loci with a high frequency of integration are marked. c The distribution of breakpoints on human genome and their corresponding source location on HBV genome
Fig. 3
Fig. 3
Integration breakpoints of HBV genome. a The breakpoints distribution in ICC patients. Histogram axis units represent number of breakpoints in 100-bp intervals. HBV genes and the orientation are shown in innermost circles. b The breakpoints distribution in CHC. c The HBV genotypes of integration breakpoints in tumor and non-tumor of ICC and CHC patients
Fig. 4
Fig. 4
Comparison of the breakpoints in the CpG island region of 47 ICC and 20 CHC patients. P values were calculated by Chi-square test. The expected ratio is calculated based on random distribution
Fig. 5
Fig. 5
Whole chromosome and chromosomal ends enrichment or non-enrichment of HBV integration in ICC (a) and CHC (b). Each bar of whole chromosome represents the expected (assuming uniform, random distribution, expected in yellow) and the observed (actual numbers in tumor tissue: tumor in blue; non-tumor tissue: non-tumor in red) ratio of HBV integration breakpoints at a particular chromosome in human genome. Ratios are numbered. Each bar of chromosomal ends represents the expected (assuming uniform, random distribution, Expected in yellow) and the observed (actual numbers in tumor tissue: tumor in blue; non-tumor tissue: non-tumor in red) ratio of HBV integration breakpoints at the 2 M region of chromosomal ends in human genome. Ratios are numbered. Red star represents statistically significant difference between non-tumor liver samples and random distribution. Blue star represents statistically significant difference between tumor samples and random distribution. (P values < 0.05) P values were calculated by Chi-square test
Fig. 6
Fig. 6
Change of expression level of integrated genes in a ICC and b CHC. Upregulated: tumor > non-tumor; down-regulated: tumor < non-tumor
Fig. 7
Fig. 7
The effect of HBV integration, the genome variation, and transcription near TERT. a Differences in TERT gene expression between tumor tissues with HBV integration in CHC (tumor, upper panel) and adjacent non-tumor tissues without HBV integration (lower panel). b The difference in DNA copy number between tumors with HBV integration, tumors without HBV integration, and adjacent non-tumor tissues in CHC; c differences in TERT gene expression between tumor tissues with HBV integration in ICC (tumor, upper panel) and adjacent non-tumor tissues without HBV integration (lower panel). d The difference in DNA copy number between tumors with HBV integration and adjacent non-tumor tissues in ICC

Similar articles

Cited by

References

    1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65:87–108. doi: 10.3322/caac.21262. - DOI - PubMed
    1. Yang JD, Hainaut P, Gores GJ, Amadou A, Plymoth A, Roberts LR. A global view of hepatocellular carcinoma: trends, risk, prevention and management. Nat Rev Gastroenterol Hepatol. 2019;16:589–604. doi: 10.1038/s41575-019-0186-y. - DOI - PMC - PubMed
    1. Shafritz DA, Shouval D, Sherman HI, Hadziyannis SJ, Kew MC. Integration of hepatitis B virus DNA into the genome of liver cells in chronic liver disease and hepatocellular carcinoma. Studies in percutaneous liver biopsies and post-mortem tissue specimens. N Engl J Med. 1981;305:1067–1073. doi: 10.1056/NEJM198110293051807. - DOI - PubMed
    1. Mason WS, Gill US, Litwin S, Zhou Y, Peri S, Pop O, Hong ML, Naik S, Quaglia A, Bertoletti A, Kennedy PT. HBV DNA integration and clonal hepatocyte expansion in chronic hepatitis B patients considered immune tolerant. Gastroenterology. 2016;151:986–998.e984. doi: 10.1053/j.gastro.2016.07.012. - DOI - PMC - PubMed
    1. Pollicino T, Caminiti G. HBV-integration studies in the clinic: role in the natural history of infection. Viruses. 2021;13(3):368. doi: 10.3390/v13030368. - DOI - PMC - PubMed

MeSH terms