Skip to main content
Hepatology Communications logoLink to Hepatology Communications
. 2023 Dec 1;7(12):e0328. doi: 10.1097/HC9.0000000000000328

A versatile method to profile hepatitis B virus DNA integration

Kento Fukano 1,2, Kousho Wakae 1,, Naganori Nao 3,4,5, Masumichi Saito 1,6, Akihito Tsubota 7, Takae Toyoshima 1, Hideki Aizaki 1, Hiroko Iijima 8, Takahiro Matsudaira 9, Moto Kimura 2, Koichi Watashi 1,10, Wataru Sugiura 2, Masamichi Muramatsu 1,11,
PMCID: PMC10697629  PMID: 38051537

Abstract

Background:

HBV DNA integration into the host genome is frequently found in HBV-associated HCC tissues and is associated with hepatocarcinogenesis. Multiple detection methods, including hybrid capture-sequencing, have identified integration sites and provided clinical implications; however, each has advantages and disadvantages concerning sensitivity, cost, and throughput. Therefore, methods that can comprehensively and cost-effectively detect integration sites with high sensitivity are required. Here, we investigated the efficiency of RAISING (Rapid Amplification of Integration Site without Interference by Genomic DNA contamination) as a simple and inexpensive method to detect viral integration by amplifying HBV-integrated fragments using virus-specific primers covering the entire HBV genome.

Methods and Results:

Illumina sequencing of RAISING products from HCC-derived cell lines (PLC/PRF/5 and Hep3B cells) identified HBV-human junction sequences as well as their frequencies. The HBV-human junction profiles identified using RAISING were consistent with those determined using hybrid capture-sequencing, and the representative junctions could be validated by junction-specific nested PCR. The comparison of these detection methods revealed that RAISING-sequencing outperforms hybrid capture-sequencing in concentrating junction sequences. RAISING-sequencing was also demonstrated to determine the sites of de novo integration in HBV-infected HepG2-NTCP cells, primary human hepatocytes, liver-humanized mice, and clinical specimens. Furthermore, we made use of xenograft mice subcutaneously engrafted with PLC/PRF/5 or Hep3B cells, and HBV-human junctions determined by RAISING-sequencing were detectable in the plasma cell-free DNA using droplet digital PCR.

Conclusions:

RAISING successfully profiles HBV-human junction sequences with smaller amounts of sequencing data and at a lower cost than hybrid capture-sequencing. This method is expected to aid basic HBV integration and clinical diagnosis research.


graphic file with name hc9-7-e0328-g001.jpg

INTRODUCTION

Over 290 million individuals are carriers of the HBV worldwide, and an estimated 820,000 annual deaths were caused by HBV-related diseases such as cirrhosis and HCC in 2019.1 HBV is a small 3.2 kb DNA virus that specifically infects hepatocytes and can integrate into the human genome. Several studies have revealed that HBV DNA integration to the host genome occurs in 75%–90% of HBV-related HCC tissues and is closely related to the development of HCC.24 However, viral integration is not essential for producing new virions and is thought to be a byproduct of viral replication. Numerous studies have demonstrated that viral integration induces chromosomal instability, insertional mutagenesis, cis-mediated activation of downstream genes, and persistent expression of viral proteins such as hepatitis B x protein and hepatitis B surface proteins.3,511 Moreover, HBV DNA integration explains why HBsAg loss is difficult to achieve by nucleo(t)ide analog therapy.12 Despite many studies analyzing clinical specimens, the molecular mechanisms involved in HBV DNA integration and its exact pathological significance remain unclear due to the lack of convenient methods to analyze HBV DNA integration.

Various methods have been adopted to detect viral genome integration; however, each has advantages and disadvantages.12,13 Classical Southern blotting is an inexpensive method to visualize chimeric DNA resulting from the integration sites, albeit with poor sensitivity and labor intensiveness. PCR-based methods such as Alu-PCR and inverse nested PCR are highly sensitive but not comprehensive, depending on the Alu-sequence and restriction enzyme sites. Next-generation sequencing (NGS) technologies have enabled the analysis of the viral genome integration process and its implications. Hybrid capture-sequencing, the most commonly used method, enables a highly sensitive and comprehensive analysis by enriching integrants with capture probes tiling the whole HBV genome.12,14 However, its high cost limits its versatility and hampers the progress of research in this field. A recent report that the remnant of integration-derived chimeric DNA in plasma cell-free DNA (cfDNA) correlates with the recurrence of HCC15 has raised the possibility that detecting integration possesses a diagnostic utility to monitor residual tumor and recurrence after tumor resection. Therefore, methods that can comprehensively and cost-effectively detect integration sites with high sensitivity are required as a useful tool for basic research and a promising diagnostic tool.

Recently, we developed a highly sensitive, simple, and inexpensive PCR-based method—Rapid Amplification of Integration Site without Interference by Genomic DNA contamination (RAISING)—to detect the integration of retroviruses [human T-cell leukemia virus type-1 (HTLV-1) and bovine leukemia virus] using viral genome-specific primers.1618 In the present study, we aimed to detect HBV DNA integration using RAISING by amplifying HBV-integrated fragments using virus-specific primers covering the entire HBV genome. We comprehensively determined the viral integration sites in HBV-associated HCC-derived cell lines, as well as de novo integration sites in HBV-infected cells, liver-humanized mice, and clinical specimens. Engrafting the immunodeficient mice with the cell lines, HBV-human junction DNA, identified by the RAISING-based sequencing, was detectable from their plasma cfDNA, suggesting its potential usefulness in the clinical diagnosis of HCC. Our study provides a novel and powerful tool for detecting HBV DNA integration.

METHODS

Rapid Amplification of Integration Site without Interference by Genomic DNA contamination

RAISING to detect HBV DNA integration (Figures 1A, B) was performed according to the protocol for HTLV-117 with slight modifications. Briefly, 200 or 500 ng of total DNA was treated with RNase A, followed by single-stranded DNA synthesis using KOD-Plus-Neo polymerase (TOYOBO) and virus-specific F1 primers. After column purification using the Monarch PCR & DNA Cleanup Kit (New England Biolabs), the product was polyAG-tailed using Terminal Transferase (New England Biolabs), followed by second-stranded DNA synthesis using Q5 Hot Start High-Fidelity DNA Polymerase (New England Biolabs) and oligo (dT) primer with an anchor sequence. After the first PCR by adding viral F2 primers, nested PCR was performed using KOD-Plus-Neo polymerase, viral F3 primers, and Illumina adaptor-tagged anchor sequence primer. HBV-specific primers (listed in Supplemental Tables S1–S3, http://links.lww.com/HC9/A682) were designed so that they cover the whole HBV genome. The products were visualized by electrophoresis on a 2% agarose gel, or purified using the Wizard SV Gel and PCR Clean-Up System (Promega) for subsequent sequencing.

FIGURE 1.

FIGURE 1

Workflow of RAISING targeting HBV DNA integration. (A) Schematic representation of the workflow for identifying HBV-human chimeric genome sequences. HBV-integrated fragments are amplified by RAISING, and then the products are sequenced with NGS. (B) Workflow of RAISING. First, the elongation of chimeric single-stranded DNA was achieved using HBV-specific F1 primers, followed by poly A tailing (with poly AG extension) and second-stranded DNA synthesis by oligo (dT) primer with an anchor sequence. The products were further enriched by nested PCR using HBV-specific F2/F3 and anchor primers with or without an NGS adaptor at 5′. N and V are mixed bases (N: A+C+G+T, V: A+C+G). (C) Experimental design of RAISING samples. Total genomic DNA was extracted from cells, chimeric mouse liver tissues, and liver biopsies of human specimens and analyzed for HBV DNA integration. The profiles of HBV DNA integration were analyzed by RAISING using human HCC-derived cell lines [PLC/PRF/5 (Table 1, upper) and Hep3B cells (Table 1, lower)], cell culture and animal model systems for reproducing de novo HBV infection, and clinical specimens of patients with HBV-related HCC. PLC/PRF/5 and Hep3B cells and clinical specimens were also analyzed by the hybrid capture-sequencing (Tables 1, 2, and Supplemental Table S9, http://links.lww.com/HC9/A682). HepG2-hNTCP-C4 cells and primary human hepatocytes were inoculated with HBV for 16 hours and washed to remove the free virus. The cells were cultured for 12 or 23 days in the presence of 1 µM entecavir and then harvested (Table 3). Human-hepatocyte chimeric mice were intravenously injected with HBV. At 14 weeks after HBV inoculation, antiviral therapy was performed for 8 or 10 weeks for other studies (Supplemental Table S7, http://links.lww.com/HC9/A682). Adjacent nontumor liver biopsies were harvested from patients with HBV-related HCC (Table 4 and Supplemental Table S8, http://links.lww.com/HC9/A682). Abbreviations: ddPCR, droplet digital polymerase chain reaction; NGS, next-generation sequencing; RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

Cell culture

PLC/PRF/5 [obtained from the Japanese Collection of Research Bioresources (JCRB) Cell Bank] and Hep3B cells were cultured at 37°C, 5% CO2, in growth medium comprising DMEM (high glucose) (Wako) supplemented with 10% fetal bovine serum, 100 units/mL penicillin, 100 µg/mL streptomycin, 10 mM HEPES (pH 7.4), 100 µM nonessential amino acids, and 1 mM sodium pyruvate.19 HepG2, HepG2-hNTCP-C4, and Hep38.7-Tet cells were cultured at 37°C, 5% CO2, in a growth medium consisting of DMEM/F-12 + GlutaMax (Thermo Fisher Scientific) supplemented with 10% fetal bovine serum, 100 units/mL penicillin, 100 µg/mL streptomycin, 10 mM HEPES (pH 7.4), and 5 µg/mL insulin.20,21 Primary human hepatocytes (PXB cells) (PhoenixBio) were cultured at 37°C, 5% CO2, in dHCGM.22 Entecavir was purchased from Santa Cruz.

Preparation of genomic DNA and cfDNA

Genomic DNA was extracted from cells, mouse liver tissues, and liver biopsies of human specimens using a QIAamp DNA Mini kit (Qiagen) or SepaGene kit (Sekisui Medical) according to the manufacturer’s protocol or with phenol/chloroform followed by isopropyl alcohol precipitation. cfDNA was extracted from mouse plasma using a QIAamp Circulating Nucleic Acid Kit (Qiagen) according to the manufacturer’s protocol.

Illumina sequencing

The libraries for Illumina sequencing were size-selected using SPRIselect beads (Beckman Coulter), targeting 500 bp for MiSeq. Selected libraries were sequenced using MiSeq (v3, 300 bp × 2) according to the manufacturer’s instructions.

NGS data analysis

Sequence reads were trimmed using Sickle (https://github.com/najoshi/sickle) to exclude the sequence reads shorter than 50 nucleotides and/or those with quality scores lower than 20. After data trimming, homology searches of sequence reads were performed using Magic-BLAST (https://ncbi.github.io/magicblast/) to human (GRCh38.p13) and HBV reference sequences (GenBank accession number: EU054331, X02763, GQ477489, AB219428, D00331, GQ924620, GQ358158, AB246345, U95551).23 We extracted only sequence reads that had an appropriate viral sequence length (30 nucleotides) and high homology with the human genome sequence (≥95% match score). Chimeric sequences supported by 5 or more reads with an overhang size >10 were filtered and indicated as integration sites.

Junction-specific nested PCR

Junction-specific primer sets were designed to span the junction sequences of the host and virus (Supplemental Figure S2, http://links.lww.com/HC9/A682; Supplemental Figure S3, http://links.lww.com/HC9/A682; Supplemental Figure S5, http://links.lww.com/HC9/A682; and Supplemental Table S4, http://links.lww.com/HC9/A682). Nested PCR was performed using the KOD-Plus-Neo polymerase. The PCR products were visualized by electrophoresis on 2% agarose gels and subsequently subjected to Sanger sequencing.

Hybrid capture-sequencing

Library preparation and target capture for HBV sequences were performed using SureSelect XT reagents (Agilent Technologies) according to the manufacturer’s protocol. The libraries were pooled and enriched using the SureSelect DNA capture custom kit (Agilent Technologies). Capture probes were designed to target 9 HBV strains (GenBank accession numbers: EU054331, X02763, GQ477489, AB219428, D00331, GQ924620, GQ358158, AB246345, and U95551). The captured libraries were sequenced using the NovaSeq6000 platform (Illumina) with paired-end reads of 150 bp according to the manufacturer’s instructions.

HBV preparation and infection

HBV (genotype D) derived from the culture supernatant of Hep38.7-Tet cells cultured in the absence of tetracycline was prepared as described.24 The HBV was inoculated into HepG2-hNTCP-C4 cells at 12,000 [Figure 1C and Table 3 (upper)] or primary human hepatocytes at 8000 [Figure 1C and Table 3 (lower)] genome equivalents per cell in the presence of 4% polyethylene glycol 8000 (PEG 8000) (Sigma-Aldrich) at 37°C for 16 hours, as described.25

TABLE 3.

HBV-human junctions in HBV-infected HepG2-hNTCP-C4 cells and primary human hepatocytes determined by RAISING-sequencing

Sample No. total reads HBV junction position HBV genome Human chromosome Human junction position Human gene
HepG2-hNTCP-C4 cells 13 3166 P, S Chr12 120995394 HNF1A
11 3165 P, S Chr11 5946294 OR56A3
11 3180 P, S Chr12 120995632 HNF1A
10 3166 P, S Chr12 120995816 HNF1A
10 3180 P, S Chr12 120994967 HNF1A
9 3168 P, S Chr12 120995765 HNF1A
9 3180 P, S Chr7 7705852 RPA3
8 503 P, S Chr1 630538 AL669831.3
8 1242 P Chr6 12017287 HIVEP1
7 496 P, S Chr15 50125750 ATP8B4
7 1760 X Chr2 16922581 (intergenic)
5 341 P, S Chr1 629360 AL669831.3
5 505 P, S Chr7 158071793 PTPRN2
5 1718 X Chr4 177918044 LINC01098
5 3180 P, S Chr5 134925420 PCBD2
5 3180 P, S ChrX 50742917 SHROOM4
Primary human hepatocytes 61 1496 P, X Chr2 27496085 (intergenic)
15 1829 C, X Chr14 103430901 MARK3
11 1812 X Chr2 234648039 (intergenic)
5 985 P Chr8 21705351 GFRA2

Abbreviation: RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

Human-hepatocyte chimeric mice

Sixteen-week-old human-hepatocyte chimeric mice (PXB mice) (PhoenixBio), generated by transplantation of human hepatocytes into uPA/SCID mice,26 were intravenously injected with 106 copies/body of HBV genotype C (Figure 1C and Supplemental Table S7, http://links.lww.com/HC9/A682). They were ethically sacrificed 22 or 24 weeks after HBV infection. This animal experiment was performed in strict accordance with both the Guide for the Care and Use of Laboratory Animals and the guidelines stipulated by the local Committee for Animal Experiments at PhoenixBio and Hamri. HBV (genotype C) was purchased from PhoenixBio.

Clinical specimens

Adjacent nontumor liver biopsies were obtained from patients diagnosed with HBV-related HCC at the Division of Gastroenterology and Hepatology, Department of Internal Medicine, the Jikei University School of Medicine, and the Division of Hepatobiliary and Pancreatic Disease, Department of Internal Medicine, Hyogo Medical University. All samples were collected after obtaining written informed consent and analyzed with the approval of the ethics committees of the Jikei University School of Medicine, Hyogo Medical University, and the National Institute of Infectious Diseases. This study was conducted in accordance with both the Declarations of Helsinki and Istanbul.

Xenograft mouse models

Four-week-old female NOD/SCID mice (Jackson Laboratory Japan) were housed under pathogen-free conditions. To prepare xenograft mouse models, PLC/PRF/5 or Hep3B cells (5×106 cells/head) suspended in a 1:1 mixture of cell culture medium and Cultrex Basement Membrane Extract (R&D Systems) were subcutaneously injected into the right flank of each mouse. After 6–11 weeks, when the tumor volume reached approximately 1000 mm3, whole blood was collected and randomly pooled from 2 to 3 heads. Tumor volumes were calculated as length × width × width × 0.5.27 All procedures were performed in accordance with the guidelines and with the approval of the Animal Care and Use Committee of the National Institute of Infectious Diseases (approval no. 122083).

Droplet digital PCR

Primers and TaqMan probes were designed based on the HBV-human junction sequences in PLC/PRF/5 and Hep3B cells, as determined by RAISING-sequencing (Supplemental Table S5, http://links.lww.com/HC9/A682). cfDNA was subjected to QX200 droplet digital PCR (ddPCR) (Bio-Rad) as described.15

RESULTS

Detection of HBV DNA integration in tumor-derived cell lines by RAISING

We applied the RAISING to detect HBV DNA integration in HBV-associated human HCC-derived cell lines, PLC/PRF/5 and Hep3B cells [Figure 1C (top)], containing HBV integrants without producing virions. To detect viral integration comprehensively, the primer set (nos. 1–14) used at first step of RAISING was designed to cover the entire HBV genome (Supplemental Figure S1A, http://links.lww.com/HC9/A682). The RAISING products amplified from the PLC/PRF/5 or Hep3B cells are shown in Supplemental Figure S1B-a, http://links.lww.com/HC9/A682 and Supplemental Figure S1C-a, http://links.lww.com/HC9/A682. The RAISING products appeared as smeared bands by agarose gel electrophoresis because the length of the final products varies according to the termination of single-stranded DNA synthesis as RAISING adapts to single-stranded DNA synthesis using virus-specific primers. The products were further Sanger sequenced to confirm the presence of HBV-human junction sequence. In the sequence amplified by primer no.13 from PLC/PRF/5 cells, we found a chimeric sequence comprising HBV and human genome chromosome 17 (Supplemental Figure S1B-b, http://links.lww.com/HC9/A682). The determined junction was consistent with those previously reported using NGS technology.2831 Similarly, the product amplified by primer no. 8 from Hep3B cells was a chimera of HBV and human genome chromosome 13 (Supplemental Figure S1C-b, http://links.lww.com/HC9/A682), which coincides with the results of a previous report.31 We further analyzed these RAISING products using NGS technology (MiSeq platform). As shown in Table 1, NGS identified various HBV-human junctions in many human chromosomes and HBV genes in PLC/PRF/5 and Hep3B cells. These results indicate that RAISING could detect HBV DNA integration in HCC-derived cell lines.

TABLE 1.

HBV-human junctions in PLC/PRF/5 and Hep3B cells determined by RAISING-sequencing and hybrid capture-sequencing

Sample Detection method No. total reads HBV junction position HBV genome Human chromosome Human junction position Human gene % of total chimeric reads (Figure 2B)
PLC/PRF/5 cells RAISING-sequencing 3804 1391 P, X Chr5 1297478 (intergenic) 0.92 * → #1
3577 491 P, S Chr17 82105786 CCDC57 0.87 ** → #2
1602 1408 P, X Chr3 131451702 (intergenic) 0.39 *** → #3
1465 817 P, S Chr12 109573899 MVK 0.36 **** → #4
935 62 P, S Chr4 180586417 (intergenic)
475 2138 C Chr13 33088561 (intergenic) 0.12 *****
58 257 P, S Chr16 70170602 AC009060.1
31 257 P, S Chr16 69947689 (intergenic)
9 919 P Chr5 8736559 (intergenic)
9 1719 X Chr19 16239292 AP1M1
7 449 P, S Chr5 78401537 SCAMP1
6 271 P, S Chr11 13870025 AC027779.1
6 926 P Chr18 3719830 DLGAP1
6 937 P Chr16 69957337 CLEC18A
Hybrid capture-sequencing 57,356 491 P, S Chr17 82105786 CCDC57 0.08 **
35,788 637 P, S Chr4 180587608 (intergenic)
24,825 2138 C Chr13 33088561 (intergenic) 0.04 *****
23,527 817 P, S Chr12 109573899 MVK 0.03 ****
20,135 1408 P, X Chr3 131451702 (intergenic) 0.03 ***
18,677 1391 P, X Chr5 1297478 (intergenic) 0.03 *
12,291 3081 P, S Chr1 143222538 (intergenic)
3128 3081 P, S Chr1 143240684 (intergenic)
1614 3081 P, S Chr10 41845764 (intergenic)
513 3081 P, S Chr1 143265918 (intergenic) (Figure 2C)
Hep3B cells RAISING-sequencing 6248 2061 C Chr13 91169307 (intergenic) 0.74 → #1
1431 1796 X Chr3 75917792 ROBO2 0.17 †† → #2
344 1796 X Chr4 72824684 (intergenic) 0.04 †††
58 1796 X Chr11 37205841 (intergenic) 0.01 ††††
42 2061 C Chr13 91169319 (intergenic)
8 1796 X Chr4 124126569 (intergenic)
8 861 P Chr9 26959590 IFT74
7 1796 X Chr5 145896541 GRXCR2
5 1796 X Chr10 129015069 (intergenic)
5 1796 X Chr14 42166780 (intergenic)
5 1796 X Chr3 98232650 (intergenic)
Hybrid capture-sequencing 72,240 1796 X Chr3 75917792 ROBO2 0.09 ††
64,122 2061 C Chr13 91169307 (intergenic) 0.08
40,875 1796 X Chr4 72824684 (intergenic) 0.05 †††
16,083 1796 X Chr11 37205841 (intergenic) 0.02 ††††
13496 1829 C, X Chr21 7261295 (intergenic)
4200 1829 C, X Chr4 49118564 (intergenic)
2641 1829 C, X ChrY 56696309 (intergenic)

Note: The junctions commonly detected in RAISING-sequencing and hybrid capture-sequencing are indicated by asterisks (*) or daggers (†), and their detection rates of integration events are calculated.

Abbreviation: RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

RAISING-sequencing has the capability for detection of HBV DNA integration comparable to hybrid capture-sequencing

We further validated the HBV-human junction sequences in PLC/PRF/5 or Hep3B cells, as determined by RAISING and NGS analysis (RAISING-sequencing), using junction-specific nested PCR (Figure 2A). Focusing on the 4 most frequently found junctions in PLC/PRF/5 cells [junctions #1–4, Table 1 (upper)], inner and outer primer pairs were designed so that the amplicons spanned the junctions (Supplemental Figure S2, http://links.lww.com/HC9/A682). Indeed, the expected products for junctions #1–4 were detected in the PLC/PRF/5 genomic DNA (Figure 2B-a), and subsequent Sanger sequencing confirmed that their sequences were identical to those determined by RAISING-sequencing (Figure 2B-b). Similarly, the top 2 junctions from the Hep3B cells [junctions #1–2, Table 1 (lower)] were validated by nested PCR and sequencing (Figure 2C and Supplemental Figure S3, http://links.lww.com/HC9/A682). These results confirmed the presence of chimeric sequences identified by RAISING-sequencing in these cell lines.

FIGURE 2.

FIGURE 2

Validation of HBV-human junction sequences in PLC/PRF/5 and Hep3B cells by junction-specific nested PCR. (A) Primers for junction-specific nested PCR were designed so that they span the junction sequences determined by the RAISING-sequencing in Table 1. (B, C) The PCR products by the primers targeting the junctions identified from PLC/PRF/5 [B, Table 1 (upper)] and Hep3B cells [C, Table 1 (lower)]. GAPDH gene was used as an internal control; DW and HepG2 cells as negative controls. HBV-human junction sequences are indicated using orange and blue boxes, respectively. (D) The sensitivity of RAISING in Supplemental Figure S1B-(b), http://links.lww.com/HC9/A682 was assessed by serially diluting PLC/PRF/5 cells genomic DNA with HepG2 cells genomic DNA. PLC/PRF/5 cells genomic DNA input percentage is indicated at the top. Abbreviations: DW, distilled water; GAPDH, Glyceraldehyde-3-phosphate dehydrogenase; RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

Our previous study demonstrated that RAISING could detect HTLV-1-human junction sequences at a frequency as low as 0.032%.17 In this study, we assessed the detection sensitivity of the HBV-human junction sequence using RAISING. PLC/PRF/5 genomic DNA was serially diluted with that of HepG2 cells without HBV DNA integration into their genomes. The results revealed that RAISING could amplify HBV-integrated fragments at a frequency of 0.1% or more (Figure 2D), with a similar sensitivity like that of HTLV-1-human junctions.

Furthermore, we compared the performance of RAISING-sequencing with that of hybrid capture-sequencing, a method frequently used for profiling HBV-human junction sequences (Table 1).(12–14) HBV-human junction sequences with a relatively high frequency in each method shared between both methods were completely identical, demonstrating very low levels of Taq-derived mutations during DNA-amplification steps in both RAISING-sequencing and hybrid capture-sequencing. For PLC/PRF/5 cells, the reads mapped to HBV were 99.5% (409,424/411,353) and 45.2% (31,761,938/70,275,382), of total reads generated by RAISING-sequencing and hybrid capture-combined NGS (NovaSeq platform), respectively [Table 2 (left)]. In addition, the RAISING-sequencing generated 11,990 chimeric reads (2.91% of total reads), 99.2% (11,889 reads) of which covered the junctions supported by both the RAISING-sequencing and hybrid capture-sequencing. Meanwhile, 478,291 chimeric reads were obtained by hybrid capture-sequencing, 198,188 reads of which were junctions located 3′ end of the viral reference sequences. Among the chimeric reads, 180,342 reads covered the consensus junctions supported by both methods, equivalent to 37.7% of the total chimeric reads and 91.0% of the 5′-HBV-human-3′ chimeric reads.

TABLE 2.

Comparison between RAISING-sequencing and hybrid capture-sequencing in tumor-derived cell lines (PLC/PRF/5 and Hep3B cells)

graphic file with name hc9-7-e0328-g004.jpg

Note: Numbers in brackets indicate reads or rate focusing one-sided junction to compare with RAISING-sequencing.

Abbreviation: RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

Similarly, analyzing total DNA from Hep3B cells revealed that 820,426 reads out of 840,127 (97.7%) obtained by RAISING-sequencing, and 18,088,353 out of 83,945,238 (21.5%) by hybrid capture-sequencing, were mapped to HBV [Table 2 (right)]. The RAISING-sequencing generated 8161 chimeric reads (0.97% of the total reads), and 8143 (99.8% of the total chimeric reads) supported the consensus junctions. The hybrid capture-sequencing generated 272,585 chimeric reads (0.32% of the total reads), among which 216,572 reads adopted 5′-HBV-human-3′ structure, and 193,360 (70.9% of the total chimeric reads and 89.3% of the 5′-HBV-human-3′ type) supported the consensus junctions. These results indicate that RAISING-sequencing outperforms hybrid capture-sequencing in concentrating junction sequences and enables the detection of HBV DNA integration with smaller sequencing data, maintaining consistency with hybrid capture-sequencing.

RAISING-sequencing detected HBV DNA integration induced by de novo HBV infection

Recent studies have demonstrated that HBV DNA integration occurs in the early stages of infection and is not affected by the inhibition of reverse transcription by nucleos(t)ide analogs treatment.3234 Therefore, we examined whether the RAISING-sequencing could detect HBV DNA integration caused by de novo infection [Figure 1C (center)]. First, we used HepG2-hNTCP-C4 cells, an HBV-susceptible HepG2-derived cell line overexpressing human sodium taurocholate cotransporting polypeptide (NTCP).20 The cells were infected with HBV for 16 hours and cultivated for 12 days with entecavir, a nucleos(t)ide analog, which was added to reduce the HBV rcDNA burden in the samples. Indeed, we observed an increase in the detection of junction sequences with entecavir treatment (Supplemental Table S6, http://links.lww.com/HC9/A682). Total genomic DNA was extracted from cells, amplified by RAISING, and sequenced using NGS (MiSeq platform). The assay identified HBV-human junction sequences from diverse human chromosomes [Table 3 (upper)], which is consistent with previous reports.3234 In addition, HBV-human junction sequences were obtained from more physiologically relevant samples, both HBV-infected primary human hepatocytes [Figure 1C (center) and Table 3 (lower)] and HBV-infected liver humanized uPA/SCID mice [Figure 1C (center) and Supplemental Table S7, http://links.lww.com/HC9/A682].

We further performed RAISING-sequencing of the adjacent nontumor liver biopsy specimens obtained from patients with HBV-related HCC [Figure 1C (bottom) and Supplemental Table S8, http://links.lww.com/HC9/A682]. The HBV-human junction profiles obtained are listed in Table 4. The number of chimeric reads substantially differed among the 3 samples, likely reflecting the amount of intrahepatic viral DNA in each sample. Most of the chimeric reads were concentrated on the C terminus half of the hepatitis B x protein gene (Supplemental Figure S4, http://links.lww.com/HC9/A682), which is consistent with previous reports.3,4,3537 The identified junctions were further validated by junction-specific nested PCR (Figure 2A and Supplemental Figure S5, http://links.lww.com/HC9/A682), and the same sequences were retrieved as those obtained by RAISING-sequencing (Figure 3A–C). These data indicate that RAISING-sequencing can robustly detect de novo HBV DNA integration occurring randomly with low frequency and reproduce previous reports of integration profiling of HBV-HCC samples.

TABLE 4.

HBV-human junctions in HCC clinical samples determined by RAISING-sequencing

Patient ID No. total reads HBV junction position HBV genome Human chromosome Human junction position Human gene (Figure 3)
HCC-6 13 1800 X Chr15 20503423 HERC2P3 → #1
(nontumor tissue) 5 1804 X Chr7 1081173 C7orf50 → #2
HCC-33 1009 1753 X Chr18 67700005 AC114689.3 → #1
(nontumor tissue) 77 1713 X Chr2 200147042 (intergenic)
40 1779 X Chr3 139268965 MRPS22
38 1634 X Chr4 185836717 SORBS2
28 1733 X Chr2 226775817 IRS1
22 1819 C, X Chr14 71388644 SIPA1L1
20 1654 X Chr4 103537128 (intergenic)
16 1753 X Chr4 73897495 (intergenic)
16 1828 C, X Chr9 95148096 FANCC
10 1820 C, X Chr1 173944363 RC3H1
HCC-46 5965 1676 X ChrX 27176279 AC107419.1 → #1
(nontumor tissue) 1051 1646 X Chr12 77598319 NAV3 → #2
790 1785 X Chr4 102824385 UBE2D3 → #3
587 1751 X Chr1 198862191 MIR181A1HG
218 1818 C, X Chr10 124502003 LHPP
181 1829 C, X Chr2 215420541 FN1
84 1821 C, X Chr1 235499700 B3GALNT2
78 1928 C Chr2 177509515 AGPS
46 1829 C, X Chr11 11206373 (intergenic)
22 809 P, S Chr8 88734382 AC090578.1
22 1827 C, X Chr2 195217190 (intergenic)
18 1680 X Chr2 235683893 AGAP1
10 1775 X Chr18 64561691 (intergenic)
9 1826 C, X Chr8 135688215 (intergenic)
8 1687 X Chr12 34822229 (intergenic)
8 1824 C, X Chr11 46364499 DGKZ

Abbreviation: RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

FIGURE 3.

FIGURE 3

Validation of HBV-human junction sequences in clinical specimens by junction-specific nested PCR. HBV-human junction sequences in the genomic DNA of clinical specimens were verified by junction-specific nested PCR using primer sets designed to span the junction. (A–C) The PCR products were generated using primers designed to span the junctions found in HCC-6 (A), HCC-33 (B), and HCC-46 (C) by RAISING-sequencing (Table 4). GAPDH gene was used as an internal control; DW and HepG2 cells as negative controls. HBV-human junction sequences are indicated using orange and blue boxes, respectively. Abbreviations: DW, distilled water; GAPDH, Glyceraldehyde-3-phosphate dehydrogenase; RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

HBV-human junctions, identified by RAISING-sequencing, were detected in plasma cfDNA using ddPCR

Recently, HBV-human junction DNA, identified by hybrid capture-sequencing, was reportedly detected as cfDNA in the peripheral blood in patients with HBV-HCC, implying its usefulness as a tumor marker, especially for recurrence.15 Therefore, we examined whether HBV-human junction DNA identified by RAISING-sequencing could be also detected in plasma cfDNA. Xenograft mouse models were subcutaneously engrafted with PLC/PRF/5 or Hep3B cells, and plasma cfDNA was harvested when the tumor volume reached approximately 1000 mm3 (6–11 weeks after injection) (Figure 1C). As shown in Table 5, junctions #1 and #3 of PLC/PRF/5 cells, identified by RAISING-sequencing [Table 1 (upper)], were detected in the plasma cfDNA of the engrafted mice using ddPCR. Similarly, junctions #1–2 of Hep3B cells [Table 1 (lower)] were detected in the plasma cfDNA of Hep3B xenografts. The results demonstrate that the chimeric DNA determined by RAISING-sequencing was detectable in the plasma cfDNA of the xenograft mouse model.

TABLE 5.

HBV-human chimeric genomes in plasma cfDNA of tumor xenograft mouse models determined by ddPCR

HBV-human chimeric genomes (copies/mL plasma)
PLC/PRF/5 xenograft mouse model Tumor volume (mm3) Junction #1 Junction #3
Pool (control) 0.0 0.0
 Pool 1 698±53 18.6 19.2
 Pool 2 1694±851 9.4 27.4
 Pool 3 1604±605 27.7 27.7
HBV-human chimeric genomes (copies/mL plasma)
Hep3B xenograft mouse model Tumor volume (mm3) Junction #1 Junction #2
Pool (control) 0.0 0.0
 Pool 1 2479±1385 884.9 445.3
 Pool 2 2462±1270 36.4 39.0
 Pool 3 883±621 65.9 0.0

Abbreviations: cfDNA, cell-free DNA; ddPCR, droplet digital polymerase chain reaction; RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

DISCUSSION

The integration of the HBV genome is frequently detected in hepatic tumor tissues. In this study, we demonstrated that HBV genome integration could be detected by RAISING, a novel method for detecting viral integration. RAISING-sequencing of the HBV-HCC-derived cell lines, PLC/PRF/5 and Hep3B cells, revealed viral integration profiles consistent with previous reports.2830 In addition, the assay could determine de novo HBV DNA integration in the early stages of infection in HepG2-hNTCP-C4 cells and primary human hepatocytes, in line with recent studies.3234 Furthermore, RAISING-sequencing successfully identified the chimeric sequences in HBV-infected tissues, including humanized livers and clinical specimens. We identified a junction in the fibronectin 1 (FN1) gene (Table 4), which is reportedly a frequent target in adjacent nontumor liver tissues.3,6,3841 Consistent with previous reports,32,42,43 the HBV-human junctions identified in this study included microhomologous sequences between HBV and human genomes (Supplemental Figure S6, http://links.lww.com/HC9/A682). These results suggest that RAISING-sequencing can be used to determine HBV DNA integration sites, similar to conventional methods.

Many studies elucidated the close association between HCC development and HBV DNA integration, which occurs in more than 75%–90% of HBV-related HCC.24 However, the lack of methods for assessing this integration hinders in-depth investigation of the molecular mechanisms and pathophysiological significance of HBV DNA integration. The simple and inexpensive PCR-based method is comparable to hybrid capture-sequencing with smaller sequencing data (Table 2 and Supplemental Table S9, http://links.lww.com/HC9/A682) and is also applicable to analysis using cell-based assays. Compared to inverse nested PCR, RAISING-sequencing is more expensive and more complicated to operate because it requires NGS analysis, but it has a notable advantage in the comprehensive detection of integration sites. Therefore, we propose that RAISING-sequencing is expected to facilitate the assessment of HBV DNA integration and contribute to elucidating the molecular mechanism of integration and its significance in HBV carcinogenesis.

Recent studies determining the HBV-human junction sequences in patients with HBV-HCC by hybrid capture-sequencing reported that the junctions are detectable in plasma or urine cfDNA.15,44 Especially, Li et al(15) reported that the remnant chimeric DNA in the plasma after surgery is correlated with early relapse. These studies raise the possibility that chimeric DNA is a promising tumor marker for predicting recurrence. Similarly, we showed that the junction sequences determined by RAISING-sequencing were detected in the blood samples of the xenograft mouse models (Table 5). Thus, it might be intriguing to use blood chimeric DNA as a relapse marker in HBV-HCC cases where liver specimens are available and junction sequences can be determined by RAISING-sequencing (eg, after surgery). Nevertheless, further studies are necessary to apply this strategy to the clinical diagnosis, especially to determine the criteria (eg, frequency and sequence in HBV-human junctions) for choosing integration sites where ddPCR primers should be designed.

The reported RAISING-sequencing method for HBV has a limitation in that it depends on short-read sequencing (Illumina, 300 bp) and cannot determine the genomic structure of HBV-human chimeric reads. Adopting third-generation sequencing platforms, such as PacBio and Nanopore, may make it possible as other studies did.30,31,42,4549 Additionally, these techniques may increase the applicability of RAISING-sequencing by covering the entire HBV genome with fewer primers. Moreover, the current strategy is not fit to detect HBV-human junctions from cfDNA directly, due to its trace amounts in blood samples and fragmentation that hampers triple primers annealing. Applying whole genomic amplification might allow the detection of junctions from cfDNA.50

In conclusion, we established RAISING-sequencing, a simple and inexpensive method, to determine HBV-human junction sequences using smaller sequencing data. This method provides a robust tool for clarifying the molecular mechanisms of HBV DNA integration and can serve as a potential diagnostic tool for HBV-HCC.

Supplementary Material

SUPPLEMENTARY MATERIAL
hc9-7-e0328-s001.pdf (5.5MB, pdf)

Acknowledgments

ACKNOWLEDGMENTS

The authors are grateful to all of the members of the Department of Virology II, National Institute of Infectious Diseases and Center for Clinical Sciences, National Center for Global Health and Medicine for their kind technical support and helpful advice.

FUNDING INFORMATION

This study was supported by the Japan Society for the Promotion of Science KAKENHI (22K15481 to Kento Fukano, 22H02880 and 22K19447 to Masamichi Muramatsu), the Japan Agency for Medical Research and Development, AMED (22fk0210120h0201 and 23fk0210120j0202 to Kento Fukano, 22fk0210120j0001 and 23fk0210120j0002 to Kousho Wakae, JP22wm0125008 and 223fa627005h0001 to Naganori Nao, 22fk0210120j0101 and 23fk0210120j0102 to Masumichi Saito, 22fk0210120h0301 and 23fk0210120h0302 to Akihito Tsubota, 23fk0310517h9902 to Masamichi Muramatsu), and the Miyakawa Memorial Research Foundation to Kento Fukano. This study was also partially supported by the World-leading Innovative and Smart Education (WISE) Program 1801 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) and by the Ministry of Health, Labour and Welfare (MHLW) under grant 23HA2010 to Naganori Nao.

CONFLICTS OF INTEREST

Naganori Nao consults and is employed by Fasmac Company. Moto Kimura received grants from Canon Medical Systems and Ezaki Gilco. He holds intellectual property rights with Wakamoto Pharmaceutical Company. Wataru Sugiura advises Takeda and is on the speakers’ bureau for ViiV, MSD, Gilead, and GSK. Takahiro Matsudaira and Masumichi Saito are inventors of a pending patent application (PCT/ JP2020/03907) for the RAISING technology. FASMAC Co., Ltd provided support in the form of salaries for authors Takahiro Matsudaira and partial research materials but did not have any additional role, such as the study design, data collection and analysis, decision to publish, and preparation of the manuscript. The remaining authors have no conflicts to report.

Footnotes

Abbreviations: cfDNA, cell-free DNA; ddPCR, droplet digital PCR; HTLV-1, human T-cell leukemia virus type-1; NGS, next-generation sequencing; NTCP, sodium taurocholate cotransporting polypeptide; RAISING, Rapid Amplification of Integration Site without Interference by Genomic DNA contamination.

Supplemental Digital Content is available for this article. Direct URL citations are provided in the HTML and PDF versions of this article on the journal's website, www.hepcommjournal.com.

Contributor Information

Kento Fukano, Email: kfukano@niid.go.jp.

Kousho Wakae, Email: wakae@niid.go.jp.

Naganori Nao, Email: n-nao@czc.hokudai.ac.jp.

Masumichi Saito, Email: saitomas@niid.go.jp.

Akihito Tsubota, Email: atsubo@jikei.ac.jp.

Takae Toyoshima, Email: ttoyoshi@niid.go.jp.

Hideki Aizaki, Email: aizaki@niid.go.jp.

Hiroko Iijima, Email: hiroko-i@hyo-med.ac.jp.

Takahiro Matsudaira, Email: tmatsudaira@fasmac.co.jp.

Moto Kimura, Email: mkimura@hosp.ncgm.go.jp.

Koichi Watashi, Email: kwatashi@niid.go.jp.

Wataru Sugiura, Email: wsugiura@hosp.ncgm.go.jp.

Masamichi Muramatsu, Email: MURAMATSU@niid.go.jp.

REFERENCES

  • 1. WHO . Hepatitis B (Key Facts). Accessed June 13, 2023. https://www.who.int/news-room/fact-sheets/detail/hepatitis-b
  • 2. Murakami Y, Saigo K, Takashima H, Minami M, Okanoue T, Brechot C, et al. Large scaled analysis of hepatitis B virus (HBV) DNA integration in HBV related hepatocellular carcinomas. Gut. 2005;54:1162–1168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Sung WK, Zheng H, Li S, Chen R, Liu X, Li Y, et al. Genome-wide survey of recurrent HBV integration in hepatocellular carcinoma. Nat Genet. 2012;44:765–769. [DOI] [PubMed] [Google Scholar]
  • 4. Zhao LH, Liu X, Yan HX, Li WY, Zeng X, Yang Y, et al. Genomic and oncogenic preference of HBV integration in hepatocellular carcinoma. Nat Commun. 2016;7:12992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Paterlini-Brechot P, Saigo K, Murakami Y, Chami M, Gozuacik D, Mugnier C, et al. Hepatitis B virus-related insertional mutagenesis occurs frequently in human liver cancers and recurrently targets human telomerase gene. Oncogene. 2003;22:3911–3916. [DOI] [PubMed] [Google Scholar]
  • 6. Ding D, Lou X, Hua D, Yu W, Li L, Wang J, et al. Recurrent targeted genes of hepatitis B virus in the liver cancer genomes identified by a next-generation sequencing-based approach. PLoS Genet. 2012;8:e1003065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Fujimoto A, Totoki Y, Abe T, Boroevich KA, Hosoda F, Nguyen HH, et al. Whole-genome sequencing of liver cancers identifies etiological influences on mutation patterns and recurrent mutations in chromatin regulators. Nat Genet. 2012;44:760–764. [DOI] [PubMed] [Google Scholar]
  • 8. Luan F, Liu H, Gao L, Liu J, Sun Z, Ju Y, et al. Hepatitis B virus protein preS2 potentially promotes HCC development via its transcriptional activation of hTERT. Gut. 2009;58:1528–1537. [DOI] [PubMed] [Google Scholar]
  • 9. Liu H, Shi W, Luan F, Xu S, Yang F, Sun W, et al. Hepatitis B virus X protein upregulates transcriptional activation of human telomerase reverse transcriptase. Virus Genes. 2010;40:174–182. [DOI] [PubMed] [Google Scholar]
  • 10. Levrero M, Zucman-Rossi J. Mechanisms of HBV-induced hepatocellular carcinoma. J Hepatol. 2016;64:S84–S101. [DOI] [PubMed] [Google Scholar]
  • 11. Zhao K, Liu A, Xia Y. Insights into hepatitis B virus DNA integration-55 years after virus discovery. Innovation (Camb). 2020;1:100034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Pollicino T, Caminiti G. HBV-integration studies in the clinic: Role in the natural history of infection. Viruses. 2021;13:368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Budzinska MA, Shackel NA, Urban S, Tu T. Cellular genomic sites of hepatitis B virus DNA integration. Genes (Basel). 2018;9:365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Li W, Zeng X, Lee NP, Liu X, Chen S, Guo B, et al. HIVID: An efficient method to detect HBV integration using low coverage sequencing. Genomics. 2013;102:338–344. [DOI] [PubMed] [Google Scholar]
  • 15. Li CL, Ho MC, Lin YY, Tzeng ST, Chen YJ, Pai HY, et al. Cell-free virus-host chimera DNA from hepatitis B virus integration sites as a circulating biomarker of hepatocellular cancer. Hepatology. 2020;72:2063–2076. [DOI] [PubMed] [Google Scholar]
  • 16. Saito M, Hasegawa H, Yamauchi S, Nakagawa S, Sasaki D, Nao N, et al. A high-throughput detection method for the clonality of Human T-cell leukemia virus type-1-infected cells in vivo. Int J Hematol. 2020;112:300–306. [DOI] [PubMed] [Google Scholar]
  • 17. Wada Y, Sato T, Hasegawa H, Matsudaira T, Nao N, Coler-Reilly ALG, et al. RAISING is a high-performance method for identifying random transgene integration sites. Commun Biol. 2022;5:535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Okagawa T, Shimakura H, Konnai S, Saito M, Matsudaira T, Nao N, et al. Diagnosis and early prediction of lymphoma using high-throughput clonality analysis of bovine leukemia virus-infected cells. Microbiol Spectr. 2022;10:e0259522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Matsuda M, Suzuki R, Kataoka C, Watashi K, Aizaki H, Kato N, et al. Alternative endocytosis pathway for productive entry of hepatitis C virus. J Gen Virol. 2014;95:2658–2667. [DOI] [PubMed] [Google Scholar]
  • 20. Iwamoto M, Watashi K, Tsukuda S, Aly HH, Fukasawa M, Fujimoto A, et al. Evaluation and identification of hepatitis B virus entry inhibitors using HepG2 cells overexpressing a membrane transporter NTCP. Biochem Biophys Res Commun. 2014;443:808–813. [DOI] [PubMed] [Google Scholar]
  • 21. Ogura N, Watashi K, Noguchi T, Wakita T. Formation of covalently closed circular DNA in Hep38.7-Tet cells, a tetracycline inducible hepatitis B virus expression cell line. Biochem Biophys Res Commun. 2014;452:315–321. [DOI] [PubMed] [Google Scholar]
  • 22. Ishida Y, Yamasaki C, Yanagi A, Yoshizane Y, Fujikawa K, Watashi K, et al. Novel robust in vitro hepatitis B virus infection model using fresh human hepatocytes isolated from humanized mice. Am J Pathol. 2015;185:1275–1285. [DOI] [PubMed] [Google Scholar]
  • 23. Boratyn GM, Thierry-Mieg J, Thierry-Mieg D, Busby B, Madden TL. Magic-BLAST, an accurate RNA-seq aligner for long and short reads. BMC Bioinform. 2019;20:405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Watashi K, Sluder A, Daito T, Matsunaga S, Ryo A, Nagamori S, et al. Cyclosporin A and its analogs inhibit hepatitis B virus entry into cultured hepatocytes through targeting a membrane transporter, sodium taurocholate cotransporting polypeptide (NTCP). Hepatology. 2014;59:1726–1737. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Watashi K, Liang G, Iwamoto M, Marusawa H, Uchida N, Daito T, et al. Interleukin-1 and tumor necrosis factor-alpha trigger restriction of hepatitis B virus infection via a cytidine deaminase activation-induced cytidine deaminase (AID). J Biol Chem. 2013;288:31715–31727. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Tateno C, Yoshizane Y, Saito N, Kataoka M, Utoh R, Yamasaki C, et al. Near completely humanized liver in mice shows human-type metabolic responses to drugs. Am J Pathol. 2004;165:901–912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Liu L, Cao Y, Chen C, Zhang X, McNabola A, Wilkie D, et al. Sorafenib blocks the RAF/MEK/ERK pathway, inhibits tumor angiogenesis, and induces tumor cell apoptosis in hepatocellular carcinoma model PLC/PRF/5. Cancer Res. 2006;66:11851–11858. [DOI] [PubMed] [Google Scholar]
  • 28. Watanabe Y, Yamamoto H, Oikawa R, Toyota M, Yamamoto M, Kokudo N, et al. DNA methylation at hepatitis B viral integrants is associated with methylation at flanking human genomic sequences. Genome Res. 2015;25:328–337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Ishii T, Tamura A, Shibata T, Kuroda K, Kanda T, Sugiyama M, et al. Analysis of HBV genomes integrated into the genomes of human hepatoma PLC/PRF/5 cells by HBV sequence capture-based next-generation sequencing. Genes (Basel). 2020;11:661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Chen CC, Guan G, Qi X, Abulaiti A, Zhang T, Liu J, et al. Pacbio sequencing of PLC/PRF/5 cell line and clearance of HBV integration through CRISPR/Cas-9 system. Front Mol Biosci. 2021;8:676957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Ramirez R, van Buuren N, Gamelin L, Soulette C, May L, Han D, et al. Targeted long-read sequencing reveals comprehensive architecture, burden, and transcriptional signatures from hepatitis B virus-associated integrations and translocations in hepatocellular carcinoma cell lines. J Virol. 2021;95:e0029921. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Tu T, Budzinska MA, Vondran FWR, Shackel NA, Urban S. Hepatitis B virus DNA integration occurs early in the viral life cycle in an in vitro infection model via sodium taurocholate cotransporting polypeptide-dependent uptake of enveloped virus particles. J Virol. 2018;92:e02007–e02017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Chauhan R, Churchill ND, Mulrooney-Cousins PM, Michalak TI. Initial sites of hepadnavirus integration into host genome in human hepatocytes and in the woodchuck model of hepatitis B-associated hepatocellular carcinoma. Oncogenesis. 2017;6:e317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Chauhan R, Shimizu Y, Watashi K, Wakita T, Fukasawa M, Michalak TI. Retrotransposon elements among initial sites of hepatitis B virus integration into human genome in the HepG2-NTCP cell infection model. Cancer Genet. 2019;235-236:39–56. [DOI] [PubMed] [Google Scholar]
  • 35. Jiang Z, Jhunjhunwala S, Liu J, Haverty PM, Kennemer MI, Guan Y, et al. The effects of hepatitis B virus integration into the genomes of hepatocellular carcinoma patients. Genome Res. 2012;22:593–601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Toh ST, Jin Y, Liu L, Wang J, Babrzadeh F, Gharizadeh B, et al. Deep sequencing of the hepatitis B virus in hepatocellular carcinoma patients reveals enriched integration events, structural alterations and sequence variations. Carcinogenesis. 2013;34:787–798. [DOI] [PubMed] [Google Scholar]
  • 37. Li X, Zhang J, Yang Z, Kang J, Jiang S, Zhang T, et al. The function of targeted host genes determines the oncogenicity of HBV integration in hepatocellular carcinoma. J Hepatol. 2014;60:975–984. [DOI] [PubMed] [Google Scholar]
  • 38. Shiraishi Y, Fujimoto A, Furuta M, Tanaka H, Chiba K, Boroevich KA, et al. Integrated analysis of whole genome and transcriptome sequencing reveals diverse transcriptomic aberrations driven by somatic genomic changes in liver cancers. PLoS One. 2014;9:e114263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Yoo S, Wang W, Wang Q, Fiel MI, Lee E, Hiotis SP, et al. A pilot systematic genomic comparison of recurrence risks of hepatitis B virus-associated hepatocellular carcinoma with low- and high-degree liver fibrosis. BMC Med. 2017;15:214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Furuta M, Tanaka H, Shiraishi Y, Unida T, Imamura M, Fujimoto A, et al. Characterization of HBV integration patterns and timing in liver cancer and HBV-infected livers. Oncotarget. 2018;9:25075–25088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Jang JW, Kim HS, Kim JS, Lee SK, Han JW, Sung PS, et al. Distinct patterns of HBV integration and TERT alterations between in tumor and non-tumor tissue in patients with hepatocellular carcinoma. Int J Mol Sci. 2021;22:7056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Peneau C, Imbeaud S, La Bella T, Hirsch TZ, Caruso S, Calderaro J, et al. Hepatitis B virus integrations promote local and distant oncogenic driver alterations in hepatocellular carcinoma. Gut. 2022;71:616–626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Wang W, Chen Y, Wu L, Zhang Y, Yoo S, Chen Q, et al. HBV genome-enriched single cell sequencing revealed heterogeneity in HBV-driven hepatocellular carcinoma (HCC). BMC Med Genomics. 2022;15:134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Lin SY, Su YP, Trauger ER, Song BP, Thompson EGC, Hoffman MC, et al. Detection of hepatitis B virus-host junction sequences in urine of infected patients. Hepatol Commun. 2021;5:1649–1659. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Hama N, Totoki Y, Miura F, Tatsuno K, Saito-Adachi M, Nakamura H, et al. Epigenetic landscape influences the liver cancer genome architecture. Nat Commun. 2018;9:1643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Meng G, Tan Y, Fan Y, Wang Y, Yang G, Fanning G, et al. TSD: A computational tool to study the complex structural variants using PacBio targeted sequencing data. G3 (Bethesda). 2019;9:1371–1376. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Zhuo Z, Rong W, Li H, Li Y, Luo X, Liu Y, et al. Long-read sequencing reveals the structural complexity of genomic integration of HBV DNA in hepatocellular carcinoma. NPJ Genom Med. 2021;6:84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. van Buuren N, Ramirez R, Soulette C, Suri V, Han D, May L, et al. Targeted long-read sequencing reveals clonally expanded HBV-associated chromosomal translocations in patients with chronic hepatitis B. JHEP Rep. 2022;4:100449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Li W, Wei W, Hou F, Xu H, Cui X. The integration model of hepatitis B virus genome in hepatocellular carcinoma cells based on high-throughput long-read sequencing. Genomics. 2022;114:23–30. [DOI] [PubMed] [Google Scholar]
  • 50. Wang X, Liu Y, Liu H, Pan W, Ren J, Zheng X, et al. Recent advances and application of whole genome amplification in molecular diagnosis and medicine. MedComm (2020). 2022;3:e116. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

SUPPLEMENTARY MATERIAL
hc9-7-e0328-s001.pdf (5.5MB, pdf)

Articles from Hepatology Communications are provided here courtesy of Wolters Kluwer Health

RESOURCES