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Qiao L, Li C, Lin W, He X, Mi J, Tong Y, Gao J. ViroISDC: a method for calling integration sites of hepatitis B virus based on feature encoding. BMC Bioinformatics 2024; 25:177. [PMID: 38704528 DOI: 10.1186/s12859-024-05763-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 03/26/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Hepatitis B virus (HBV) integrates into human chromosomes and can lead to genomic instability and hepatocarcinogenesis. Current tools for HBV integration site detection lack accuracy and stability. RESULTS This study proposes a deep learning-based method, named ViroISDC, for detecting integration sites. ViroISDC generates corresponding grammar rules and encodes the characteristics of the language data to predict integration sites accurately. Compared with Lumpy, Pindel, Seeksv, and SurVirus, ViroISDC exhibits better overall performance and is less sensitive to sequencing depth and integration sequence length, displaying good reliability, stability, and generality. Further downstream analysis of integrated sites detected by ViroISDC reveals the integration patterns and features of HBV. It is observed that HBV integration exhibits specific chromosomal preferences and tends to integrate into cancerous tissue. Moreover, HBV integration frequency was higher in males than females, and high-frequency integration sites were more likely to be present on hepatocarcinogenesis- and anti-cancer-related genes, validating the reliability of the ViroISDC. CONCLUSIONS ViroISDC pipeline exhibits superior precision, stability, and reliability across various datasets when compared to similar software. It is invaluable in exploring HBV infection in the human body, holding significant implications for the diagnosis, treatment, and prognosis assessment of HCC.
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Affiliation(s)
- Lei Qiao
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Chang Li
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Wei Lin
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Xiaoqi He
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Jia Mi
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Yigang Tong
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
| | - Jingyang Gao
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
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Amorim de Almeida Pondé R. Vertical transmission of hepatitis B virus from father to child: what can be concluded about this possibility? Arch Virol 2023; 168:168. [PMID: 37227513 DOI: 10.1007/s00705-023-05796-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 04/12/2023] [Indexed: 05/26/2023]
Abstract
Vertical hepatitis B virus (HBV) transmission is defined as transmission that occurs during pregnancy or postpartum from an HBV-infected mother to her fetus or child. It is an efficient route for the spread of HBV and is responsible for most of the cases of chronic HBV infection in adults. During pregnancy, vertical transmission can occur in the intrauterine phase, by placental infection via peripheral blood mononuclear cells, by placental leakage, or through female germ cells.The detection of HBV DNA in semen and spermatids from HBV-infected men has provided strong evidence that the male genital tract may act as a reservoir of the virus in HBV-infected men, supporting the possibility that vertical HBV transmission from an HBV-infected father to his child may also occur via the germ line at the time of fertilization, as occurs in HBV transmission from mother to child. Furthermore, it has been shown that integration of the HBV genome into the sperm cell genome can compromise sperm morphology and function and even cause hereditary or congenital biological effects in the offspring when an HBV-infected sperm fuses with an ovum.Since vertical HBV transmission from father to child can be a topic of interest and of global importance for controlling the spread of HBV, this article addresses the evidence supporting its occurrence via germ cells, the biological impact of integration of the HBV genome into the male germ cell genome, and the role of maternal immunoprophylaxis in vertical HBV transmission from father to child.
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Affiliation(s)
- Robério Amorim de Almeida Pondé
- Secretaria de Estado da Saúde -SES/Superintendência de Vigilância em Saúde-SUVISA/GO, Gerência de Vigilância Epidemiológica de Doenças Transmissíveis-GVEDT/Coordenação de Análises e Pesquisas-CAP, Rua 136 Qd F44 Lt 22/24 Ed. César Sebba- Setor Sul, 74-093-250, Goiânia, Goiás, Brazil.
- Laboratory of Human Virology, Institute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Goiás, Brazil.
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Lin SY, Halegoua-DeMarzio D, Block P, Kao YL, Civan J, Shieh FS, Song W, Hann HW, Su YH. Persistently Elevated HBV Viral-Host Junction DNA in Urine as a Biomarker for Hepatocellular Carcinoma Minimum Residual Disease and Recurrence: A Pilot Study. Diagnostics (Basel) 2023; 13:1537. [PMID: 37174929 PMCID: PMC10177231 DOI: 10.3390/diagnostics13091537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/02/2023] [Accepted: 03/21/2023] [Indexed: 05/15/2023] Open
Abstract
Hepatitis B virus (HBV)-host junction sequences (HBV-JSs) has been detected in the urine of patients with HBV infection. This study evaluated HBV-JSs as a marker of minimum residual disease (MRD) and tumor recurrence after treatment in HBV-hepatocellular carcinoma (HCC) patients. Archived serial urine DNA from two HBV-HCC with recurrence as confirmed by MRI and four HBV-related cirrhosis (LC) patients were used. Urinary HBV-JSs were identified by an HBV-targeted NGS assay. Quantitative junction-specific PCR assays were developed to investigate dynamic changes of the most abundant urinary HBV-JS. Abundant urinary HBV-JSs were identified in two cases of tumor recurrence. In case 1, a 78-year-old female with HBV- HCC underwent a follow-up MRI following microwave ablation. While MRI results were variable, the unique HBV-JS DNA, HBV-Chr17, steadily increased from initial diagnosis to HCC recurrence. In case 2, a 74-year-old male with HBV-HCC contained two HBV-JS DNA, HBV-Chr11 and HBV-TERT, that steadily increased after initial HCC diagnosis till recurrence. One LC examined had HBV-TERT DNA detected, but transiently in 3.5 years during HCC surveillance. HBV-JS DNA was persistently elevated prior to the diagnosis of recurrent HCC, suggesting the potential of urinary HBV-JS DNA to detect MRD and HCC recurrence after treatment.
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Affiliation(s)
| | - Dina Halegoua-DeMarzio
- Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA
| | - Peter Block
- Division of Gastroenterology and Hepatology, Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA
| | - Yu-Lan Kao
- Department of Translational Science, Baruch S. Blumberg Institute, Doylestown, PA 18901, USA
| | - Jesse Civan
- Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA
| | | | - Wei Song
- JBS Science Inc., Doylestown, PA 18901, USA
| | - Hie-Won Hann
- Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA
| | - Ying-Hsiu Su
- Department of Translational Science, Baruch S. Blumberg Institute, Doylestown, PA 18901, USA
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Zhao L, Wang Y, Tian T, Rao X, Dong W, Zhang J, Yang Y, Tao Q, Peng F, Shen C, Wang S, Liu H, Zeng X, Zhou W. Analysis of viral integration reveals new insights of oncogenic mechanism in HBV-infected intrahepatic cholangiocarcinoma and combined hepatocellular-cholangiocarcinoma. Hepatol Int 2022. [PMID: 36123506 DOI: 10.1007/s12072-022-10419-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 08/24/2022] [Indexed: 11/04/2022]
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.
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Chen CC, Guan G, Qi X, Abulaiti A, Zhang T, Liu J, Lu F, Chen X. Pacbio Sequencing of PLC/PRF/5 Cell Line and Clearance of HBV Integration Through CRISPR/Cas-9 System. Front Mol Biosci 2021; 8:676957. [PMID: 34485380 PMCID: PMC8416172 DOI: 10.3389/fmolb.2021.676957] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 06/01/2021] [Indexed: 12/28/2022] Open
Abstract
The integration of HBV DNA is one of the carcinogenic mechanisms of HBV. The clearance of HBV integration in hepatocyte is of great significance to cure chronic HBV infection and thereby prevent the occurrence of HBV-related hepatocellular carcinoma (HCC). However, the low throughput of traditional methods, such as Alu-PCR, results in low detecting sensitivity of HBV integration. Although the second-generation sequencing can obtain a large amount of sequencing data, but the sequencing fragments are extremely short, so it cannot fully explore the characteristics of HBV integration. In this study, we used the third-generation sequencing technology owning advantages both in sequencing length and in sequencing depth to analyze the HBV integration characteristics in PLC/PRF/5 cells comprehensively. A total of 4,142,311 cleaning reads was obtained, with an average length of 18,775.6 bp, of which 84 reads were fusion fragments of the HBV DNA and human genome. These 84 fragments located in seven chromosomes, including chr3, chr4, chr8, chr12, chr13, chr16, and chr17. We observed lots of DNA rearrangement both in the human genome and in HBV DNA fragments surrounding the HBV integration site, indicating the genome instability causing by HBV integration. By analyzing HBV integrated fragments of PLC/PRF/5 cells that can potentially express HBsAg, we selected three combinations of sgRNAs targeting the integrated fragments to knock them out with CRISPR/Cas9 system. We found that the sgRNA combinations could significantly decrease the level of HBsAg in the supernatant of PLC/PRF/5 cells, while accelerated cell proliferation. This study proved the effectiveness of third-generation sequencing to detect HBV integration, and provide a potential strategy to reach HBsAg clearance for chronic HBV infection patients, but the knock-out of HBV integration from human genome by CRISPR/Cas9 system may have a potential of carcinogenic risk.
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Affiliation(s)
- Chia-Chen Chen
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Guiwen Guan
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Xuewei Qi
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Abudurexiti Abulaiti
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Ting Zhang
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Jia Liu
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Fengmin Lu
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing, China
| | - Xiangmei Chen
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
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Lin SY, Zhang A, Lian J, Wang J, Chang TT, Lin YJ, Song W, Su YH. Recurrent HBV Integration Targets as Potential Drivers in Hepatocellular Carcinoma. Cells 2021; 10:cells10061294. [PMID: 34071075 PMCID: PMC8224658 DOI: 10.3390/cells10061294] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/15/2021] [Accepted: 05/20/2021] [Indexed: 02/07/2023] Open
Abstract
Chronic hepatitis B virus (HBV) infection is the major etiology of hepatocellular carcinoma (HCC), frequently with HBV integrating into the host genome. HBV integration, found in 85% of HBV-associated HCC (HBV–HCC) tissue samples, has been suggested to be oncogenic. Here, we investigated the potential of HBV–HCC driver identification via the characterization of recurrently targeted genes (RTGs). A total of 18,596 HBV integration sites from our in-house study and others were analyzed. RTGs were identified by applying three criteria: at least two HCC subjects, reported by at least two studies, and the number of reporting studies. A total of 396 RTGs were identified. Among the 28 most frequent RTGs, defined as affected in at least 10 HCC patients, 23 (82%) were associated with carcinogenesis and 5 (18%) had no known function. Available breakpoint positions from the three most frequent RTGs, TERT, MLL4/KMT2B, and PLEKHG4B, were analyzed. Mutual exclusivity of TERT promoter mutation and HBV integration into TERT was observed. We present an RTG consensus through comprehensive analysis to enable the potential identification and discovery of HCC drivers for drug development and disease management.
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Affiliation(s)
- Selena Y. Lin
- JBS Science, Inc., Doylestown, PA 18902, USA; (S.Y.L.); (J.W.); (W.S.)
| | - Adam Zhang
- The Baruch S. Blumberg Research Institute, Doylestown, PA 18902, USA; (A.Z.); (J.L.)
| | - Jessica Lian
- The Baruch S. Blumberg Research Institute, Doylestown, PA 18902, USA; (A.Z.); (J.L.)
| | - Jeremy Wang
- JBS Science, Inc., Doylestown, PA 18902, USA; (S.Y.L.); (J.W.); (W.S.)
| | - Ting-Tsung Chang
- Department of Internal Medicine, National Cheng Kung University Medical College, Tainan 704, Taiwan;
| | - Yih-Jyh Lin
- Department of Surgery, National Cheng Kung University Medical College, Tainan 704, Taiwan;
| | - Wei Song
- JBS Science, Inc., Doylestown, PA 18902, USA; (S.Y.L.); (J.W.); (W.S.)
| | - Ying-Hsiu Su
- The Baruch S. Blumberg Research Institute, Doylestown, PA 18902, USA; (A.Z.); (J.L.)
- Correspondence: ; Tel.: +215-489-4907
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7
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Cui X, Wei W, Wang C, Qi Y, Qin X, Huang L, Li W. Studies on the correlation between mutation and integration of HBV in hepatocellular carcinoma. Biosci Rep 2020; 40:BSR20201988. [PMID: 32797164 DOI: 10.1042/BSR20201988] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 08/12/2020] [Accepted: 08/14/2020] [Indexed: 02/07/2023] Open
Abstract
It is well known that both the mutation and integration of the Hepatitis B virus (HBV) are of great significance in liver cancer, however, the relationship between mutation and integration is still unclear. In the present study, sequencing data from 426 previously published samples were analyzed and 5374 specific HBV mutations in cancer tissues were discovered. By comparing integrated samples and non-integrated samples, we found that the integrated samples had higher sample single nucleotide variants (SNVs) positive rates and SNV numbers, as well as higher sample frequency of SNV in the X region of the HBV genome. Samples with HBV integration in the telomerase reverse transcriptase (TERT) region showed higher SNV positive rates and numbers than samples without integration. Moreover, the SNVs (209 [T>G] and 531 [T>C; T>G]) were seen with higher frequency in samples with integration in the TERT region. Our study showed that the occurrence of viral integration events is closely related to the occurrence of SNV, and SNV in the X region should be more directly associated with viral integration. The present study provides an initial exploration of the relationship between HBV mutation and integration to help improve our understanding of the relationship between viral integration and mutation.
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Zhang H, Dong P, Guo S, Tao C, Chen W, Zhao W, Wang J, Cheung R, Villanueva A, Fan J, Ding H, Schrodi SJ, Zhang D, Zeng C. Hypomethylation in HBV integration regions aids non-invasive surveillance to hepatocellular carcinoma by low-pass genome-wide bisulfite sequencing. BMC Med 2020; 18:200. [PMID: 32741373 PMCID: PMC7397586 DOI: 10.1186/s12916-020-01667-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 06/12/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Circulating cell-free DNA (cfDNA) methylation has been demonstrated to be a promising approach for non-invasive cancer diagnosis. However, the high cost of whole genome bisulfite sequencing (WGBS) hinders the clinical implementation of a methylation-based cfDNA early detection biomarker. We proposed a novel strategy in low-pass WGBS (~ 5 million reads) to detect methylation changes in circulating cell-free DNA (cfDNA) from patients with liver diseases and hepatocellular carcinoma (HCC). METHODS The effective small sequencing depth were determined by 5 pilot cfDNA samples with relative high-depth WGBS. CfDNA of 51 patients with hepatitis, cirrhosis, and HCC were conducted using low-pass WGBS. The strategy was validated in an independent WGBS cohort of 32 healthy individuals and 26 early-stage HCC patients. Fifteen paired tumor tissue and buffy coat samples were used to characterize the methylation of hepatitis B virus (HBV) integration regions and genome distribution of cfDNA. RESULTS A significant enrichment of cfDNA in intergenic and repeat regions, especially in previously reported HBV integration sites were observed, as a feature of cfDNA and the bias of cfDNA release. Methylation profiles nearby HBV integration sites were a better indicator for hypomethylation of tumor genome comparing to Alu and LINE (long interspersed nuclear element) repeats, and were able to facilitate the cfDNA-based HCC prediction. Hypomethylation nearby HBV integration sites (5 kb flanking) was detected in HCC patients, but not in patients with hepatitis and cirrhosis (MethylHBV5k, median:0.61 vs 0.72, P = 0.0003). Methylation levels of integration sites certain candidate regions exhibited an area under the receiver operation curve (AUC) value > 0.85 to discriminate HCC from non-HCC samples. The validation cohort achieved the prediction performance with an AUC of 0.954. CONCLUSIONS Hypomethylation around viral integration sites aids low-pass cfDNA WGBS to serve as a non-invasive approach for early HCC detection, and inspire future efforts on tumor surveillance for oncovirus with integration activity.
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Affiliation(s)
- Haikun Zhang
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Peiling Dong
- Department of Hepatology, Beijing You'an Hospital Affiliated with Capital Medical University, Beijing, 100069, China
| | - Shicheng Guo
- Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA
| | - Chengcheng Tao
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wei Chen
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Wenmin Zhao
- Department of Hepatology, Beijing You'an Hospital Affiliated with Capital Medical University, Beijing, 100069, China
| | - Jiakang Wang
- Biology Department, Stonybrook University, Stonybrook, NY, USA
| | - Ramsey Cheung
- Department of Gastroenterology and Hepatology, VA Palo Alto Health Care System and Stanford University, Palo Alto, CA, USA
| | - Augusto Villanueva
- Liver Cancer Research Program, Division of Liver Diseases, Tisch Cancer Institute, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jian Fan
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Huiguo Ding
- Department of Hepatology, Beijing You'an Hospital Affiliated with Capital Medical University, Beijing, 100069, China
| | - Steven J Schrodi
- Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA. .,Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, WI, USA.
| | - Dake Zhang
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. .,Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China.
| | - Changqing Zeng
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
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9
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Ruan P, Dai X, Sun J, He C, Huang C, Zhou R, Chemin I. Integration of hepatitis B virus DNA into p21-activated kinase 3 (PAK3) gene in HepG2.2.15 cells. Virus Genes 2020; 56:168-173. [PMID: 31897927 DOI: 10.1007/s11262-019-01725-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 12/16/2019] [Indexed: 02/06/2023]
Abstract
Integration of HBV DNA into host chromosomes was found in most of the patients with chronic hepatitis B (CHB). In this study, using inverse nested PCR (invPCR), we found the integration site chrX: 111,009,033, which inserted into the p21-activated kinase 3 (PAK3) gene in HepG2.2.15 cells. The viral-human chimeric transcripts were also observed and, significant differences of the copy numbers of integration site chrX: 111,009,033 (P = 0.012) and intra-cell HBV DNA levels (P = 0.027) were found between the cells with and without H2O2 treatment, respectively. This study may provide a novel insight into the elucidation of etiology of HBV integration.
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Affiliation(s)
- Peng Ruan
- Department of Gastroenterology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei, People's Republic of China. .,Department of Breast Surgery, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, People's Republic of China. .,INSERM U1052, CNRS UMR5286, Centre de Recherche en Cancérologie, Université Claude Bernard, Lyon, France.
| | - Xiufang Dai
- Department of Breast Surgery, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, People's Republic of China
| | - Jun Sun
- Department of Gastroenterology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei, People's Republic of China
| | - Chunping He
- Department of Gastroenterology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei, People's Republic of China
| | - Chao Huang
- Department of Gastroenterology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei, People's Republic of China
| | - Rui Zhou
- Department of Gastroenterology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei, People's Republic of China
| | - Isabelle Chemin
- INSERM U1052, CNRS UMR5286, Centre de Recherche en Cancérologie, Université Claude Bernard, Lyon, France.
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10
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Jin Y, Lee WY, Toh ST, Tennakoon C, Toh HC, Chow PKH, Chung AYF, Chong SS, Ooi LLPJ, Sung WK, Lee CGL. Comprehensive analysis of transcriptome profiles in hepatocellular carcinoma. J Transl Med 2019; 17:273. [PMID: 31429776 PMCID: PMC6701074 DOI: 10.1186/s12967-019-2025-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Accepted: 08/14/2019] [Indexed: 12/31/2022] Open
Abstract
Background Hepatocellular carcinoma is the second most deadly cancer with late presentation and limited treatment options, highlighting an urgent need to better understand HCC to facilitate the identification of early-stage biomarkers and uncover therapeutic targets for the development of novel therapies for HCC. Methods Deep transcriptome sequencing of tumor and paired non-tumor liver tissues was performed to comprehensively evaluate the profiles of both the host and HBV transcripts in HCC patients. Differential gene expression patterns and the dys-regulated genes associated with clinical outcomes were analyzed. Somatic mutations were identified from the sequencing data and the deleterious mutations were predicted. Lastly, human-HBV chimeric transcripts were identified, and their distribution, potential function and expression association were analyzed. Results Expression profiling identified the significantly upregulated TP73 as a nodal molecule modulating expression of apoptotic genes. Approximately 2.5% of dysregulated genes significantly correlated with HCC clinical characteristics. Of the 110 identified genes, those involved in post-translational modification, cell division and/or transcriptional regulation were upregulated, while those involved in redox reactions were downregulated in tumors of patients with poor prognosis. Mutation signature analysis identified that somatic mutations in HCC tumors were mainly non-synonymous, frequently affecting genes in the micro-environment and cancer pathways. Recurrent mutations occur mainly in ribosomal genes. The most frequently mutated genes were generally associated with a poorer clinical prognosis. Lastly, transcriptome sequencing suggest that HBV replication in the tumors of HCC patients is rare. HBV-human fusion transcripts are a common observation, with favored HBV and host insertion sites being the HBx C-terminus and gene introns (in tumors) and introns/intergenic-regions (in non-tumors), respectively. HBV-fused genes in tumors were mainly involved in RNA binding while those in non-tumors tissues varied widely. These observations suggest that while HBV may integrate randomly during chronic infection, selective expression of functional chimeric transcripts may occur during tumorigenesis. Conclusions Transcriptome sequencing of HCC patients reveals key cancer molecules and clinically relevant pathways deregulated/mutated in HCC patients and suggests that while HBV may integrate randomly during chronic infection, selective expression of functional chimeric transcripts likely occur during the process of tumorigenesis.
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Affiliation(s)
- Yu Jin
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore
| | - Wai Yeow Lee
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore
| | - Soo Ting Toh
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore
| | | | - Han Chong Toh
- Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Level 6, Lab 5, 11 Hospital Drive, Singapore, 169610, Singapore
| | - Pierce Kah-Hoe Chow
- Duke-NUS Medical School, Singapore, 169547, Singapore.,Department of Surgery, Singapore General Hospital, Singapore, 169608, Singapore
| | - Alexander Y-F Chung
- Department of Surgery, Singapore General Hospital, Singapore, 169608, Singapore
| | - Samuel S Chong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.,Department of Laboratory Medicine, National University Hospital, Singapore, 119074, Singapore
| | - London L-P-J Ooi
- Department of Surgery, Singapore General Hospital, Singapore, 169608, Singapore.,Department of Surgical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore
| | - Wing-Kin Sung
- Genome Institute of Singapore, Singapore, Singapore.,School of Computing, National University of Singapore, Singapore, Singapore
| | - Caroline G-L Lee
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore. .,Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Level 6, Lab 5, 11 Hospital Drive, Singapore, 169610, Singapore. .,Duke-NUS Medical School, Singapore, 169547, Singapore.
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11
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Li W, Cui X, Huo Q, Qi Y, Sun Y, Tan M, Kong Q. Profile of HBV Integration in the Plasma DNA of Hepatocellular Carcinoma Patients. Curr Genomics 2019; 20:61-68. [PMID: 31015792 PMCID: PMC6446477 DOI: 10.2174/1389202919666181002144336] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 08/14/2018] [Accepted: 09/20/2018] [Indexed: 12/11/2022] Open
Abstract
Background: Hepatitis B Viral (HBV) infection is one of the major causes of Hepatocellular Carcinoma (HCC). Mounting evidence had provided that the HBV integration might be a critical con-tributor of HCC carcinogenesis. Objective and Methods: To explore the profile of HBV integration in the plasma DNA, the method of next-generation sequencing, HBV capture and bioinformatics had been employed to screen for HBV in-tegration sites in the plasma samples. Results: In the initial experiment, a total of 87 breakpoints were detected in the 20 plasma samples. The distribution of breakpoints showed that there was significant enrichment of breakpoints in the region of intron. Furthermore, the HBV breakpoints were prone to occur in the region of X protein (1,700-2,000bp) in the plasma samples. The pathway analysis had revealed that the HBV integrations sites were specifically enriched in the cancer pathway. Conclusion: Altogether, our results had provided direct evidence for the HBV integration in plasma DNA, and they might be potentially useful for future HCC prognosis and diagnosis.
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Affiliation(s)
- Weiyang Li
- 1Jining Medical University, Jining, Shandong272067, China; 2Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, Shandong272067, China; 3Southern University of Science and Technology, Shenzhen518055, China; 4Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen518002, China; 5Center for Data Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA19104, USA; 6BGI College, University of Chinese Academy of Sciences, Shenzhen518083, China
| | - Xiaofang Cui
- 1Jining Medical University, Jining, Shandong272067, China; 2Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, Shandong272067, China; 3Southern University of Science and Technology, Shenzhen518055, China; 4Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen518002, China; 5Center for Data Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA19104, USA; 6BGI College, University of Chinese Academy of Sciences, Shenzhen518083, China
| | - Qing Huo
- 1Jining Medical University, Jining, Shandong272067, China; 2Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, Shandong272067, China; 3Southern University of Science and Technology, Shenzhen518055, China; 4Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen518002, China; 5Center for Data Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA19104, USA; 6BGI College, University of Chinese Academy of Sciences, Shenzhen518083, China
| | - Yanwei Qi
- 1Jining Medical University, Jining, Shandong272067, China; 2Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, Shandong272067, China; 3Southern University of Science and Technology, Shenzhen518055, China; 4Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen518002, China; 5Center for Data Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA19104, USA; 6BGI College, University of Chinese Academy of Sciences, Shenzhen518083, China
| | - Yuhui Sun
- 1Jining Medical University, Jining, Shandong272067, China; 2Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, Shandong272067, China; 3Southern University of Science and Technology, Shenzhen518055, China; 4Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen518002, China; 5Center for Data Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA19104, USA; 6BGI College, University of Chinese Academy of Sciences, Shenzhen518083, China
| | - Meihua Tan
- 1Jining Medical University, Jining, Shandong272067, China; 2Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, Shandong272067, China; 3Southern University of Science and Technology, Shenzhen518055, China; 4Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen518002, China; 5Center for Data Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA19104, USA; 6BGI College, University of Chinese Academy of Sciences, Shenzhen518083, China
| | - Qingsheng Kong
- 1Jining Medical University, Jining, Shandong272067, China; 2Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, Shandong272067, China; 3Southern University of Science and Technology, Shenzhen518055, China; 4Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen518002, China; 5Center for Data Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA19104, USA; 6BGI College, University of Chinese Academy of Sciences, Shenzhen518083, China
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12
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Yoo S, Wang W, Wang Q, Fiel MI, Lee E, Hiotis SP, Zhu J. 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. [PMID: 29212479 PMCID: PMC5719570 DOI: 10.1186/s12916-017-0973-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 11/08/2017] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Chronic hepatitis B virus (HBV) infection leads to liver fibrosis, which is a major risk factor in hepatocellular carcinoma (HCC) and an independent risk factor of recurrence after HCC tumor resection. The HBV genome can be inserted into the human genome, and chronic inflammation may trigger somatic mutations. However, how HBV integration and other genomic changes contribute to the risk of tumor recurrence with regards to the different degree of liver fibrosis is not clearly understood. METHODS We sequenced mRNAs of 21 pairs of tumor and distant non-neoplastic liver tissues of HBV-HCC patients and performed comprehensive genomic analyses of our RNAseq data and public available HBV-HCC sequencing data. RESULTS We developed a robust pipeline for sensitively identifying HBV integration sites based on sequencing data. Simulations showed that our method outperformed existing methods. Applying it to our data, 374 and 106 HBV host genes were identified in non-neoplastic liver and tumor tissues, respectively. When applying it to other RNA sequencing datasets, consistently more HBV integrations were identified in non-neoplastic liver than in tumor tissues. HBV host genes identified in non-neoplastic liver samples significantly overlapped with known tumor suppressor genes. More significant enrichment of tumor suppressor genes was observed among HBV host genes identified from patients with tumor recurrence, indicating the potential risk of tumor recurrence driven by HBV integration in non-neoplastic liver tissues. We also compared SNPs of each sample with SNPs in a cancer census database and inferred samples' pathogenic SNP loads. Pathogenic SNP loads in non-neoplastic liver tissues were consistently higher than those in normal liver tissues. Additionally, HBV host genes identified in non-neoplastic liver tissues significantly overlapped with pathogenic somatic mutations, suggesting that HBV integration and somatic mutations targeting the same set of genes are important to tumorigenesis. HBV integrations and pathogenic mutations showed distinct patterns between low and high liver fibrosis patients with regards to tumor recurrence. CONCLUSIONS The results suggest that HBV integrations and pathogenic SNPs in non-neoplastic tissues are important for tumorigenesis and different recurrence risk models are needed for patients with low and high degrees of liver fibrosis.
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Affiliation(s)
- Seungyeul Yoo
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wenhui Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Qin Wang
- Department of Surgery, Division of Surgical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - M Isabel Fiel
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eunjee Lee
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Sema4, a Mount Sinai venture, Stamford, CT, USA
| | - Spiros P Hiotis
- Department of Surgery, Division of Surgical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Jun Zhu
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Sema4, a Mount Sinai venture, Stamford, CT, USA.
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13
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Chiu YT, Wong JKL, Choi SW, Sze KMF, Ho DWH, Chan LK, Lee JMF, Man K, Cherny S, Yang WL, Wong CM, Sham PC, Ng IOL. Novel pre-mRNA splicing of intronically integrated HBV generates oncogenic chimera in hepatocellular carcinoma. J Hepatol 2016; 64:1256-64. [PMID: 26867494 DOI: 10.1016/j.jhep.2016.02.005] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 01/28/2016] [Accepted: 02/03/2016] [Indexed: 12/12/2022]
Abstract
BACKGROUND & AIMS Hepatitis B virus (HBV) integration is common in HBV-associated hepatocellular carcinoma (HCC) and may play an important pathogenic role through the production of chimeric HBV-human transcripts. We aimed to screen the transcriptome for HBV integrations in HCCs. METHODS Transcriptome sequencing was performed on paired HBV-associated HCCs and corresponding non-tumorous liver tissues to identify viral-human chimeric sites. Validation was further performed in an expanded cohort of human HCCs. RESULTS Here we report the discovery of a novel pre-mRNA splicing mechanism in generating HBV-human chimeric protein. This mechanism was exemplified by the formation of a recurrent HBV-cyclin A2 (CCNA2) chimeric transcript (A2S), as detected in 12.5% (6 of 48) of HCC patients, but in none of the 22 non-HCC HBV-associated cirrhotic liver samples examined. Upon the integration of HBV into the intron of the CCNA2 gene, the mammalian splicing machinery utilized the foreign splice sites at 282nt. and 458nt. of the HBV genome to generate a pseudo-exon, forming an in-frame chimeric fusion with CCNA2. The A2S chimeric protein gained a non-degradable property and promoted cell cycle progression, demonstrating its potential oncogenic functions. CONCLUSIONS A pre-mRNA splicing mechanism is involved in the formation of HBV-human chimeric proteins. This represents a novel and possibly common mechanism underlying the formation of HBV-human chimeric transcripts from intronically integrated HBV genome with functional impact. LAY SUMMARY HBV is involved in the mammalian pre-mRNA splicing machinery in the generation of potential tumorigenic HBV-human chimeras. This study also provided insight on the impact of intronic HBV integration with the gain of splice sites in the development of HBV-associated HCC.
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Affiliation(s)
- Yung-Tuen Chiu
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong; Department of Pathology, The University of Hong Kong, Hong Kong
| | - John K L Wong
- Department of Psychiatry, The University of Hong Kong, Hong Kong
| | - Shing-Wan Choi
- Department of Psychiatry, The University of Hong Kong, Hong Kong
| | - Karen M F Sze
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong; Department of Pathology, The University of Hong Kong, Hong Kong
| | - Daniel W H Ho
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong; Department of Pathology, The University of Hong Kong, Hong Kong
| | - Lo-Kong Chan
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong; Department of Pathology, The University of Hong Kong, Hong Kong
| | - Joyce M F Lee
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong; Department of Pathology, The University of Hong Kong, Hong Kong
| | - Kwan Man
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong; Department of Surgery, The University of Hong Kong, Hong Kong
| | - Stacey Cherny
- Department of Psychiatry, The University of Hong Kong, Hong Kong
| | - Wan-Ling Yang
- Department of Pediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong
| | - Chun-Ming Wong
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong; Department of Pathology, The University of Hong Kong, Hong Kong.
| | - Pak-Chung Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong.
| | - Irene O L Ng
- State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong; Department of Pathology, The University of Hong Kong, Hong Kong.
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14
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Li X, Zhang J, Yang Z, Kang J, Jiang S, Zhang T, Chen T, Li M, Lv Q, Chen X, McCrae MA, Zhuang H, Lu F. The function of targeted host genes determines the oncogenicity of HBV integration in hepatocellular carcinoma. J Hepatol 2014; 60:975-84. [PMID: 24362074 DOI: 10.1016/j.jhep.2013.12.014] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2013] [Revised: 12/09/2013] [Accepted: 12/10/2013] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Although hepatitis B virus (HBV) integration into the human genome has been considered as one of the major causative factors to hepatocarcinogenesis, the underlying mechanism(s) was still elusive. Here we investigate the essential difference(s) of HBV integration between HCC tumor and adjacent non-tumor tissues and explore the factor(s) that determine the oncogenicity of HBV integration. METHODS 1115 HBV integration sites were collected from four recent studies. Functional annotation analysis of integration targeted host genes (ITGs) was performed using DAVID based on Gene Ontology and KEGG pathway databases. Array-based expression profiles, real-time qPCR and western blot were used to detect the expression of recurrent integration targeted genes (RTGs). The biological consequences of the overexpression of UBXN8 in 8 HCC cell lines were studied in vitro. RESULTS HBV is prone to integrate in genic regions (exons, introns, and promoters) and gene-dense regions. Functional annotation analysis reveals that, compared to those in adjacent non-tumor tissues, ITGs in HCC tumor tissues were significantly enriched in functional terms related to negative regulation of cell death, transcription regulation, development and differentiation, and cancer related pathways. 32% of the 75 RTGs identified in this analysis expressed abnormally in HCC tissues. UBXN8, one of the RTGs, was identified as a new tumor suppressor candidate which functions in a TP53 dependent manner. CONCLUSIONS The oncogenicity of HBV integration was determined, to some extend by the function of HBV integration targeted host genes in HCC.
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Affiliation(s)
- Xiaojun Li
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China
| | - Jiangbo Zhang
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China
| | - Ziwei Yang
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China
| | - Jingting Kang
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China
| | - Suzhen Jiang
- Department of Gastroenterology & Hepatology, Chinese PLA General Hospital, Beijing, PR China
| | - Ting Zhang
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China
| | - Tingting Chen
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China
| | - Meng Li
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China
| | - Quanjun Lv
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Henan, PR China
| | - Xiangmei Chen
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China.
| | | | - Hui Zhuang
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China
| | - Fengmin Lu
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, PR China.
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15
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Nakagawa H, Shibata T. Comprehensive genome sequencing of the liver cancer genome. Cancer Lett 2012; 340:234-40. [PMID: 23142287 DOI: 10.1016/j.canlet.2012.10.035] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2012] [Revised: 10/26/2012] [Accepted: 10/27/2012] [Indexed: 01/05/2023]
Abstract
Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Recently, comprehensive whole genome and exome sequencing analyses for HCC revealed new cancer-associated genes and a variety of genomic alterations. In particular, frequent genetic alterations of the chromatin remodeling genes were observed, suggesting a new potential therapeutic target for HCC. Sequencing analysis has further identified the molecular complexities of multicentric lesions and intratumoral heterogeneity. Detailed analyses of the somatic substitution pattern of the cancer genome and the HBV virus genome integration sites by using whole-genome sequencing will elucidate the molecular basis and diverse etiological factors involved in liver cancer development.
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