HIVID2: an accurate tool to detect virus integrations in the host genome

Long-term antiviral therapy is associated with changes in the profile of transcriptionally active HBV integration in the livers of patients with CHB

Hepatitis B virus (HBV) integration exists throughout the clinical course of chronic hepatitis B (CHB). This study investigated the effects of long-term antiviral therapy on the level and profiles of transcriptionally active HBV integration. Serial liver biopsies and paired blood samples were obtained from 16, 16, and 22 patients with CHB at baseline, 78, and 260 weeks of entecavir monotherapy or combined with pegylated interferon alfa, respectively. Serum HBV biomarkers were longitudinally assessed. RNA-seq and HIVID2 program was used to identify HBV-host chimeric RNAs transcribed from integrated DNA. The counts of HBV integration reads were positively related to both serum HBV DNA levels (r = 0.695, p = 0.004) and HBeAg titers (r = 0.724, p = 0.021) at baseline, but the positive correlation exited only to the serum HBsAg levels after 260 weeks of antiviral therapy (r = 0.662, p = 0.001). After 78 weeks of antiviral therapy, the levels of HBV integration expression decreased by 12.25 folds from baseline. The viral junction points were enriched at the S and HBx genes after the long-term antiviral therapy. HBs-FN1 became one of the main transcripts, with the mean proportion of HBs-FN1 in all integrated expression increased from 2.79% at baseline to 10.54% at Week 260 of antiviral treatment. Antiviral therapy may reduce but not eliminate the HBV integration events and integration expression. Certain integration events, such as HBs-FN1 can persist in long-term antiviral treatment.

Multi-omics data reveals novel impacts of human papillomavirus integration on the epigenomic and transcriptomic signatures of cervical tumorigenesis

Integration of human papilloma virus (HPV) DNA into the human genome may progressively contribute to cervical carcinogenesis. To explore how HPV integration affects gene expression by altering DNA methylation during carcinogenesis, we analyzed a multiomics dataset for cervical cancer. We obtained multiomics data by HPV-capture sequencing, RNA sequencing, and Whole Genome Bisulfite Sequencing from 50 patients with cervical cancer. We detected 985 and 485 HPV-integration sites in matched tumor and adjacent paratumor tissues. Of these, LINC00486 (n = 19), LINC02425 (n = 11), LLPH (n = 11), PROS1 (n = 5), KLF5 (n = 4), LINC00392 (n = 3), MIR205HG (n = 3) and NRG1 (n = 3) were identified as high-frequency HPV-integrated genes, including five novel recurrent genes. Patients at clinical stage II had the highest number of HPV integrations. E6 and E7 genes of HPV16 but not HPV18 showed significantly fewer breakpoints than random distribution. HPV integrations occurring in exons were associated with altered gene expression in tumor tissues but not in paratumor tissues. A list of HPV-integrated genes regulated at transcriptomic or epigenetic level was reported. We also carefully checked the candidate genes with regulation pattern correlated in both levels. HPV fragments integrated at MIR205HG mainly came from the L1 gene of HPV16. RNA expression of PROS1 was downregulated when HPV integrated in its upstream region. RNA expression of MIR205HG was elevated when HPV integrated into its enhancer. The promoter methylation levels of PROS1 and MIR205HG were all negatively correlated with their gene expressions. Further experimental validations proved that upregulation of MIR205HG could promote the proliferative and migrative abilities of cervical cancer cells. Our data provides a new atlas for epigenetic and transcriptomic regulations regarding HPV integrations in cervical cancer genome. We demonstrate that HPV integration may affect gene expression by altering methylation levels of MIR205HG and PROS1. Our study provides novel biological and clinical insights into HPV-induced cervical cancer.

The integration model of hepatitis B virus genome in hepatocellular carcinoma cells based on high-throughput long-read sequencing

HBV integration and function has gradually been expanding. However, the exact mode of HBV integration remains unclear. In our research, the high-throughput long-read sequencing was combined with bioinformatics to study the complete mode of HBV integration in hepatocellular carcinoma (HCC) cells. The results demonstrated that: 1) The HBV insertion sequences of HBV integration events accounted for 49.5% of the total HBV sequences. 2) Short insertion segments with the length of 0-1 kbp accounted for 50% and the long insertion segments (>3 kbp) accounted for 25% of HBV insertion events. 3)There were different HBV insertion length in the breakpoints formed within different regions. 4) The occurrence of HBV integration events was accompanied by more frequent structural variations. 5)Furthermore, multiple HBV integration patterns were confirmed based on complete HBV insertion sequences. Our research not only clarified a variety of perfect HBV integration models but also determined multiple specific features of HBV integration.