1
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Hassan MM, Li D, Han Y, Byun J, Hatia RI, Long E, Choi J, Kelley RK, Cleary SP, Lok AS, Bracci P, Permuth JB, Bucur R, Yuan JM, Singal AG, Jalal PK, Ghobrial RM, Santella RM, Kono Y, Shah DP, Nguyen MH, Liu G, Parikh ND, Kim R, Wu HC, El-Serag H, Chang P, Li Y, Chun YS, Lee SS, Gu J, Hawk E, Sun R, Huff C, Rashid A, Amin HM, Beretta L, Wolff RA, Antwi SO, Patt Y, Hwang LY, Klein AP, Zhang K, Schmidt MA, White DL, Goss JA, Khaderi SA, Marrero JA, Cigarroa FG, Shah PK, Kaseb AO, Roberts LR, Amos CI. Genome-wide association study identifies high-impact susceptibility loci for HCC in North America. Hepatology 2024; 80:87-101. [PMID: 38381705 PMCID: PMC11191046 DOI: 10.1097/hep.0000000000000800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/18/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND AND AIMS Despite the substantial impact of environmental factors, individuals with a family history of liver cancer have an increased risk for HCC. However, genetic factors have not been studied systematically by genome-wide approaches in large numbers of individuals from European descent populations (EDP). APPROACH AND RESULTS We conducted a 2-stage genome-wide association study (GWAS) on HCC not affected by HBV infections. A total of 1872 HCC cases and 2907 controls were included in the discovery stage, and 1200 HCC cases and 1832 controls in the validation. We analyzed the discovery and validation samples separately and then conducted a meta-analysis. All analyses were conducted in the presence and absence of HCV. The liability-scale heritability was 24.4% for overall HCC. Five regions with significant ORs (95% CI) were identified for nonviral HCC: 3p22.1, MOBP , rs9842969, (0.51, [0.40-0.65]); 5p15.33, TERT , rs2242652, (0.70, (0.62-0.79]); 19q13.11, TM6SF2 , rs58542926, (1.49, [1.29-1.72]); 19p13.11 MAU2 , rs58489806, (1.53, (1.33-1.75]); and 22q13.31, PNPLA3 , rs738409, (1.66, [1.51-1.83]). One region was identified for HCV-induced HCC: 6p21.31, human leukocyte antigen DQ beta 1, rs9275224, (0.79, [0.74-0.84]). A combination of homozygous variants of PNPLA3 and TERT showing a 6.5-fold higher risk for nonviral-related HCC compared to individuals lacking these genotypes. This observation suggests that gene-gene interactions may identify individuals at elevated risk for developing HCC. CONCLUSIONS Our GWAS highlights novel genetic susceptibility of nonviral HCC among European descent populations from North America with substantial heritability. Selected genetic influences were observed for HCV-positive HCC. Our findings indicate the importance of genetic susceptibility to HCC development.
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Affiliation(s)
- Manal M. Hassan
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Rikita I. Hatia
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Erping Long
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Robin Kate Kelley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA
| | - Sean P. Cleary
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Anna S. Lok
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Paige Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Jennifer B. Permuth
- Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, Florida, USA
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Roxana Bucur
- Princess Margaret Cancer Center and Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Jian-Min Yuan
- Cancer Epidemiology and Prevention Program, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Amit G. Singal
- Division of Digestive and Liver Diseases, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Prasun K. Jalal
- Department of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas, USA
| | - R. Mark Ghobrial
- J.C. Walter Jr. Transplant Center, Houston Methodist Hospital, Houston, Texas, USA
| | - Regina M. Santella
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Yuko Kono
- Division of Gastroenterology and Hepatology, University of California San Diego, San Diego, California, USA
| | - Dimpy P. Shah
- Mays Cancer Center, The University of Texas Health Science Center San Antonio MD Anderson, San Antonio, Texas, USA
| | - Mindie H. Nguyen
- Division of Gastroenterology and Hepatology, Department of Epidemiology and Population Health, Stanford University Medical Center, Palo Alto, California, USA
| | - Geoffrey Liu
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Neehar D. Parikh
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Richard Kim
- Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Hui-Chen Wu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Hashem El-Serag
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Ping Chang
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yanan Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yun Shin Chun
- Division of Surgery, Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sunyoung S. Lee
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jian Gu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ernest Hawk
- Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ryan Sun
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Chad Huff
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Asif Rashid
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hesham M. Amin
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Laura Beretta
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Robert A. Wolff
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Samuel O. Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Yehuda Patt
- Division of Hematology/Oncology, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Lu-Yu Hwang
- Department of Epidemiology, Human Genetics, and Environment Science, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Alison P. Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, USA
| | - Karen Zhang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA
| | - Mikayla A. Schmidt
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Donna L. White
- Sections of Gastroenterology and Hepatology and Health Services Research, Baylor College of Medicine, Houston, Texas, USA
| | - John A. Goss
- Division of Abdominal Transplantation, Michael E. DeBakey School of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Saira A. Khaderi
- Division of Abdominal Transplantation, Baylor College of Medicine, Houston, Texas, USA
| | - Jorge A. Marrero
- Division of Digestive and Liver Diseases, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Francisco G. Cigarroa
- Transplant Center, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Pankil K. Shah
- Mays Cancer Center, The University of Texas Health Science Center San Antonio MD Anderson, San Antonio, Texas, USA
| | - Ahmed O. Kaseb
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lewis R. Roberts
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Christopher I. Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
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2
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Zaravinos A. Unveiling the Future of Oncology and Precision Medicine through Data Science. Int J Mol Sci 2024; 25:5797. [PMID: 38891982 PMCID: PMC11171842 DOI: 10.3390/ijms25115797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
Information generated via next-generation sequencing (NGS) technologies is often termed multi-omics data [...].
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Affiliation(s)
- Apostolos Zaravinos
- Department of Life Sciences, School of Sciences, European University Cyprus, 2404 Nicosia, Cyprus;
- Cancer Genetics, Genomics and Systems Biology Laboratory, Basic and Translational Cancer Research Center (BTCRC), 1516 Nicosia, Cyprus
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3
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Wang Y, Liu X, Zuo X, Wang C, Zhang Z, Zhang H, Zeng T, Chen S, Liu M, Chen H, Song Q, Li Q, Yang C, Le Y, Xing J, Zhang H, An J, Jia W, Kang L, Zhang H, Xie H, Ye J, Wu T, He F, Zhang X, Li Y, Zhou G. NRDE2 deficiency impairs homologous recombination repair and sensitizes hepatocellular carcinoma to PARP inhibitors. CELL GENOMICS 2024; 4:100550. [PMID: 38697125 PMCID: PMC11099347 DOI: 10.1016/j.xgen.2024.100550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 02/26/2024] [Accepted: 04/05/2024] [Indexed: 05/04/2024]
Abstract
To identify novel susceptibility genes for hepatocellular carcinoma (HCC), we performed a rare-variant association study in Chinese populations consisting of 2,750 cases and 4,153 controls. We identified four HCC-associated genes, including NRDE2, RANBP17, RTEL1, and STEAP3. Using NRDE2 (index rs199890497 [p.N377I], p = 1.19 × 10-9) as an exemplary candidate, we demonstrated that it promotes homologous recombination (HR) repair and suppresses HCC. Mechanistically, NRDE2 binds to the subunits of casein kinase 2 (CK2) and facilitates the assembly and activity of the CK2 holoenzyme. This NRDE2-mediated enhancement of CK2 activity increases the phosphorylation of MDC1 and then facilitates the HR repair. These functions are eliminated almost completely by the NRDE2-p.N377I variant, which sensitizes the HCC cells to poly(ADP-ribose) polymerase (PARP) inhibitors, especially when combined with chemotherapy. Collectively, our findings highlight the relevance of the rare variants to genetic susceptibility to HCC, which would be helpful for the precise treatment of this malignancy.
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Affiliation(s)
- Yahui Wang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China; State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, P.R. China
| | - Xinyi Liu
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Xianbo Zuo
- Department of Dermatology, Department of Pharmacy, China-Japan Friendship Hospital, Beijing, P.R. China
| | - Cuiling Wang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Zheng Zhang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Haitao Zhang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Tao Zeng
- Faculty of Hepato-Biliary-Pancreatic Surgery, the First Medical Center of Chinese PLA General of Hospital, Beijing, P.R. China
| | - Shunqi Chen
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Mengyu Liu
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Hongxia Chen
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Qingfeng Song
- Affiliated Cancer Hospital of Guangxi Medical University, Nanning City, Guangxi Province, P.R. China
| | - Qi Li
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China; Department of Neurosciences, School of Medicine, University of South China, Hengyang City, Hunan Province, P.R. China
| | - Chenning Yang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Yi Le
- Department of Hepatobiliary Surgery, the 5th Medical Center of Chinese PLA General of Hospital, Beijing, P.R. China
| | - Jinliang Xing
- State Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Air Force Medical University, Xi'an City, Shaanxi Province, P.R. China
| | - Hongxin Zhang
- Department of Pain Treatment, Tangdu Hospital, Air Force Medical University, Xi'an City, Shaanxi Province, P.R. China
| | - Jiaze An
- Department of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University, Xi'an City, Shaanxi Province, P.R. China
| | - Weihua Jia
- State Key Laboratory of Oncology in Southern China, Guangzhou City, Guangdong Province, P.R. China; Department of Experimental Research, Sun Yat-Sen University Cancer Center, Guangzhou City, Guangdong Province, P.R. China
| | - Longli Kang
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang City, Shaanxi Province, P.R. China
| | - Hongxing Zhang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, P.R. China
| | - Hui Xie
- Department of Interventional Oncology, the Fifth Medical Center of Chinese PLA General of Hospital, Beijing, P.R. China
| | - Jiazhou Ye
- Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning City, Guangxi Province, P.R. China
| | - Tianzhun Wu
- Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning City, Guangxi Province, P.R. China
| | - Fuchu He
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, P.R. China.
| | - Xuejun Zhang
- Department of Dermatology and Institute of Dermatology, First Affiliated Hospital, Anhui Medical University, Hefei City, Anhui Province, P.R. China.
| | - Yuanfeng Li
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China.
| | - Gangqiao Zhou
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China; Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, P.R. China.
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4
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Chen B, Qiu M, Gong R, Liu Y, Zhou Z, Wen Q, Wei X, Liang X, Jiang Y, Chen P, Wei Y, Huang Q, Mo Q, Lin Q, Yu H. Genetic variants in m5C modification genes are associated with survival of patients with HBV-related hepatocellular carcinoma. Arch Toxicol 2024; 98:1125-1134. [PMID: 38438738 DOI: 10.1007/s00204-024-03687-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/23/2024] [Indexed: 03/06/2024]
Abstract
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with a high mortality rate. The 5-methylcytosine (m5C), a type of RNA modification, plays crucial regulatory roles in HCC carcinogenesis, metastasis, and prognosis. However, a few studies have investigated the effect of genetic variants in m5C modification genes on survival of patients with hepatitis B virus (HBV)-related HCC. In the present study, we evaluated associations between 144 SNPs in 15 m5C modification genes and overall survival (OS) in 866 patients with the HBV-related HCC. Expression quantitative trait loci (eQTL) analysis and differential expression analysis were conducted to investigate biological mechanisms. As a result, we identified that two SNPs (NSUN7 rs2437325 A > G and TRDMT1 rs34434809 G > C) were significantly associated with HBV-related HCC OS with adjusted allelic hazards ratios of 1.25 (95% confidence interval = 1.05-1.48 and P = 0.011) and 1.19 (1.02-1.38 and P = 0.027), respectively, with a trend of combined risk genotypes (Ptrend < 0.001). Moreover, the results of eQTL analyses showed that both NSUN7 rs2437325 G and TRDMT1 rs34434809 C alleles were associated with a reduced mRNA expression level in 208 normal liver tissues (P = 0.007 and P < 0.001, respectively). Taken together, genetic variants in the m5C modification genes may be potential prognostic biomarkers of HBV-related HCC after hepatectomy, likely through mediating the mRNA expression of corresponding genes.
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Affiliation(s)
- Bowen Chen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China
| | - Moqin Qiu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Rongbin Gong
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Qiuping Wen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Xiaoxia Wei
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Xiumei Liang
- Department of Disease Process Management, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Yanji Jiang
- Department of Scientific Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Peiqin Chen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China
- Editorial Department of Chinese Journal of Oncology Prevention and Treatment, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Yuying Wei
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China
| | - Qiongguang Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Qiuyan Mo
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China.
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi, China.
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning, 530021, China.
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China.
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Saraswat SK, Mahmood BS, Ajila F, Kareem DS, Alwan M, Athab ZH, Shaier JB, Hosseinifard SR. Deciphering the oncogenic landscape: Unveiling the molecular machinery and clinical significance of LncRNA TMPO-AS1 in human cancers. Pathol Res Pract 2024; 255:155190. [PMID: 38330619 DOI: 10.1016/j.prp.2024.155190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/10/2024]
Abstract
The in-depth exploration of long non-coding RNAs (lncRNAs) reveals their pivotal and diverse roles in various disorders, particularly cancer. Within this intricate landscape, thymopoietin-antisense RNA-1 (TMPO-AS1) emerges as a noteworthy instigator of oncogenesis in humans. This exhaustive review seeks to intricately unravel the present understanding of TMPO-AS1, emphasizing its molecular foundations and highlighting its clinical applications in the realm of cancer research. TMPO-AS1 consistently exhibits heightened expression across a spectrum of cancer types, encompassing lung, colorectal, breast, cervical, bladder, pancreatic, hepatocellular, gastric, ovarian, and osteosarcoma. Elevated levels of TMPO-AS1 are intricately linked to unfavorable prognoses, accompanied by distinctive clinical and pathological characteristics. Functionally, TMPO-AS1 showcases its prowess in enhancing cancer cell migration, invasion, proliferation, and orchestrating epithelial-mesenchymal transition (EMT) through a myriad of molecular mechanisms. These mechanisms entail intricate interactions with proteins, microRNAs, and intricate signaling pathways. Furthermore, TMPO-AS1 is intricately involved in regulating critical cellular processes, including apoptosis and the cell cycle. The mounting evidence converges towards the potential of TMPO-AS1 serving as a diagnostic and prognostic biomarker, further entwined with its potential role in influencing chemoresistance in cancer. This potential is underscored by its consistent associations with clinical outcomes and treatment responses. This comprehensive investigation not only consolidates our existing knowledge of TMPO-AS1's multifaceted roles but also sheds illuminating insights on its profound significance in the intricate landscape of cancer biology, paving the way for potential applications in clinical practice.
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Affiliation(s)
| | | | - Freddy Ajila
- Facultad de Informática y Electrónica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Sede Orellana, El Coca 220001, Ecuador.
| | | | - Mariem Alwan
- Medical Technical College, Al-Farahidi University, Iraq
| | - Zainab H Athab
- Department of Pharmacy, Al-Zahrawi University College, Karbala, Iraq
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6
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Han L, Huo Y, Huang L, Zheng Y, Yu X, Zhang N, Yang M. Genome-wide functional integration identified MAZ-controlled RPS14 dysregulation in hepatocellular carcinoma. Arch Toxicol 2024; 98:985-997. [PMID: 38189915 DOI: 10.1007/s00204-023-03669-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/14/2023] [Indexed: 01/09/2024]
Abstract
Chronic infection with Hepatitis B virus (HBV) significantly increases the risk of hepatocellular carcinoma (HCC), particularly in Eastern Asia. However, only a subset of individuals with chronic HBV infection develop HCC, suggesting the role for genetic factors in HCC etiology. Despite genome-wide association studies (GWASs) identifying multiple single nucleotide polymorphisms (SNPs) associated with HBV-related HCC susceptibility, the underlying mechanisms and causal genetic polymorphisms remain largely unclear. To address this, we developed The Updated Integrative Functional Genomics Approach (TUIFGA), an methodology that combines data from transcription factor (TF) cistromics, ATAC-seq, DNAase-seq, and the 1000 Genomes Project to identify cancer susceptibility SNPs within TF-binding sites across human genome. Using TUIFGA, we discovered SNP rs13170300 which located in the TF MAZ binding motif of RPS14. The RPS14 rs13170300 was significantly associated with HCC risk in two case-control sets, with the T allele as the protective allele (Shandong discovery set: TT OR = 0.60, 95% CI = 0.49-0.74, P = 1.0 × 10-6; CT OR = 0.69, 95% CI = 0.55-0.86, P = 0.001; Jiangsu validation set: TT OR = 0.70, 95% CI = 0.56-0.87, P = 0.001; CT OR = 0.65, 95% CI = 0.53-0.82, P = 1.6 × 10-4). SNP rs13170300 affected MAZ binding in the RPS14 promoter, resulting in allele-specific changes in gene expression. RPS14 functions as a novel oncogene in HCC, specifically via activating the AKT signaling. Our findings present important insights into the functional genetics underlying HBV-related HCC development and may contribute to personalized approaches for cancer prevention and novel therapeutics.
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Affiliation(s)
- Linyu Han
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Yanfei Huo
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Linying Huang
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Yanxiu Zheng
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Xinyuan Yu
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Nasha Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, China
| | - Ming Yang
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, China.
- Shandong University Cancer Center, Shandong Province, Jinan, 250117, China.
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Soliman N, Saharia A, Abdelrahim M, Connor AA. Molecular profiling in the management of hepatocellular carcinoma. Curr Opin Organ Transplant 2024; 29:10-22. [PMID: 38038621 DOI: 10.1097/mot.0000000000001124] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
PURPOSE OF REVIEW The purpose of this review is to both summarize the current knowledge of hepatocellular carcinoma molecular biology and to suggest a framework in which to prospectively translate this knowledge into patient care. This is timely as recent guidelines recommend increased use of these technologies to advance personalized liver cancer care. RECENT FINDINGS The main themes covered here address germline and somatic genetic alterations recently discovered in hepatocellular carcinoma, largely owing to next generation sequencing technologies, and nascent efforts to translate these into contemporary practice. SUMMARY Early efforts of translating molecular profiling to hepatocellular carcinoma care demonstrate a growing number of potentially actionable alterations. Still lacking are a consensus on what biomarkers and technologies to adopt, at what scale and cost, and how to integrate them most effectively into care.
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Zhan S, Qiu M, Wei X, Wei J, Qin L, Jiang B, Wen Q, Chen P, Lin Q, Wei X, Zhou Z, Jiang Y, Liang X, Li R, Liu Y, Yu H. Potentially functional genetic variants in ferroptosis-related CREB3 and GALNT14 genes predict survival of hepatitis B virus-related hepatocellular carcinoma. Cancer Med 2024; 13:e6848. [PMID: 38151984 PMCID: PMC10807646 DOI: 10.1002/cam4.6848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 11/19/2023] [Accepted: 11/27/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND Ferroptosis is a known crucial player in the development of cancers. However, the effect of single nucleotide polymorphisms (SNPs) in ferroptosis-related genes on survival in hepatitis B virus (HBV)-related hepatocellular carcinoma (HBV-HCC) patients remains unknown. METHODS We used two-stage multivariable Cox proportional hazards regression analyses to estimate the associations between 48,774 SNPs in 480 ferroptosis-related genes and overall survival (OS) of 866 HBV-HCC patients. RESULTS We identified that two potentially functional SNPs (CREB3 rs10814274 C > T and GALNT14 rs17010547 T > C) were significantly independently associated with the OS of HBV-HCC patients (CT + TT verse CC, hazards ratio (HR) = 0.77, 95% confidence interval (CI) = 0.67-0.89, p < 0.001 for rs10814274 and TC + CC verse TT, HR = 0.66, 95% CI = 0.53-0.82, p < 0.001 for rs17010547, respectively). Additional joint assessment of protective genotypes of these two SNPs showed that patients with 1-2 protective genotypes had a significantly better OS compared with those carrying 0 protective genotypes (HR = 0.56, 95% CI = 0.45-0.70, p < 0.001). Moreover, the expression quantitative trait loci (eQTL) analysis revealed that the survival-associated SNP rs10814274 T allele was significantly correlated with reduced CREB3 transcript levels in both normal liver tissues and whole blood cells, while the GALNT14 rs17010547 C allele had a significant correlation with increased GALNT14 transcript levels in whole blood cells. CONCLUSION These results suggest that genetic variants of CREB3 and GALNT14 may affect the survival of HBV-HCC patients, likely via transcriptional regulation of respective genes. However, further studies are required to confirm these findings.
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Affiliation(s)
- Shicheng Zhan
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Moqin Qiu
- Department of Respiratory OncologyGuangxi Medical University Cancer HospitalNanningChina
| | - Xueyan Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Junjie Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Liming Qin
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Binbin Jiang
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuping Wen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Peiqin Chen
- Editorial Department of Chinese Journal of Oncology Prevention and TreatmentGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuling Lin
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Xiaoxia Wei
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Zihan Zhou
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Yanji Jiang
- Scientific Research DepartmentGuangxi Medical University Cancer HospitalNanningChina
| | - Xiumei Liang
- Department of Disease Process ManagementGuangxi Medical University Cancer HospitalNanningChina
| | - Runwei Li
- Department of Civil Engineering, College of EngineeringNew Mexico State UniversityLas CrucesNew MexicoUSA
| | - Yingchun Liu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
| | - Hongping Yu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University)Ministry of EducationNanningChina
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Chotiprasidhi P, Sato-Espinoza AK, Wangensteen KJ. Germline Genetic Associations for Hepatobiliary Cancers. Cell Mol Gastroenterol Hepatol 2023; 17:623-638. [PMID: 38163482 PMCID: PMC10899027 DOI: 10.1016/j.jcmgh.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
Hepatobiliary cancers (HBCs) include hepatocellular carcinoma, cholangiocarcinoma, and gallbladder carcinoma, which originate from the liver, bile ducts, and gallbladder, respectively. They are responsible for a substantial burden of cancer-related deaths worldwide. Despite knowledge of risk factors and advancements in therapeutics and surgical interventions, the prognosis for most patients with HBC remains bleak. There is evidence from familial aggregation and case-control studies to suggest a familial risk component in HBC susceptibility. Recent progress in genomics research has led to the identification of germline variants including single nucleotide polymorphisms (SNPs) and pathogenic or likely pathogenic (P/LP) variants in cancer-associated genes associated with HBC risk. These findings emerged from genome-wide association studies and next-generation sequencing techniques such as whole-exome sequencing. Patients with other cancer types, including breast, colon, ovarian, prostate, and pancreatic cancer, are recommended by guidelines to undergo germline genetic testing, but similar recommendations are lagging in HBC. This prompts the question of whether multi-gene panel testing should be integrated into clinical guidelines for HBC management. Here, we review the hereditary genetics of HBC, explore studies investigating SNPs and P/LP variants in HBC patients, discuss the clinical implications and potential for personalized treatments and impact on patient's family members, and conclude that additional studies are needed to examine how genetic testing can be applied clinically.
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Affiliation(s)
- Perapa Chotiprasidhi
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Kirk J Wangensteen
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
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Liu TY, Liao CC, Chang YS, Chen YC, Chen HD, Lai IL, Peng CY, Chung CC, Chou YP, Tsai FJ, Jeng LB, Chang JG. Identification of 13 Novel Loci in a Genome-Wide Association Study on Taiwanese with Hepatocellular Carcinoma. Int J Mol Sci 2023; 24:16417. [PMID: 38003606 PMCID: PMC10671380 DOI: 10.3390/ijms242216417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
Liver cancer is caused by complex interactions among genetic factors, viral infection, alcohol abuse, and metabolic diseases. We conducted a genome-wide association study and polygenic risk score (PRS) model in Taiwan, employing a nonspecific etiology approach, to identify genetic risk factors for hepatocellular carcinoma (HCC). Our analysis of 2836 HCC cases and 134,549 controls revealed 13 novel associated loci such as the FAM66C gene, noncoding genes, liver-fibrosis-related genes, metabolism-related genes, and HCC-related pathway genes. We incorporated the results from the UK Biobank and Japanese database into our study for meta-analysis to validate our findings. We also identified specific subtypes of the major histocompatibility complex that influence both viral infection and HCC progression. Using this data, we developed a PRS to predict HCC risk in the general population, patients with HCC, and HCC-affected families. The PRS demonstrated higher risk scores in families with multiple HCCs and other cancer cases. This study presents a novel approach to HCC risk analysis, identifies seven new genes associated with HCC development, and introduces a reproducible PRS model for risk assessment.
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Affiliation(s)
- Ting-Yuan Liu
- Center for Precision Medicine and Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan; (T.-Y.L.); (C.-C.L.); (Y.-S.C.); (Y.-C.C.); (H.-D.C.); (I.-L.L.); (C.-C.C.); (Y.-P.C.)
- Million-Person Precision Medicine Initiative, Department of Medical Research, China Medical University Hospital, Taichung 40447, Taiwan
| | - Chi-Chou Liao
- Center for Precision Medicine and Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan; (T.-Y.L.); (C.-C.L.); (Y.-S.C.); (Y.-C.C.); (H.-D.C.); (I.-L.L.); (C.-C.C.); (Y.-P.C.)
| | - Ya-Sian Chang
- Center for Precision Medicine and Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan; (T.-Y.L.); (C.-C.L.); (Y.-S.C.); (Y.-C.C.); (H.-D.C.); (I.-L.L.); (C.-C.C.); (Y.-P.C.)
| | - Yu-Chia Chen
- Center for Precision Medicine and Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan; (T.-Y.L.); (C.-C.L.); (Y.-S.C.); (Y.-C.C.); (H.-D.C.); (I.-L.L.); (C.-C.C.); (Y.-P.C.)
- Million-Person Precision Medicine Initiative, Department of Medical Research, China Medical University Hospital, Taichung 40447, Taiwan
| | - Hong-Da Chen
- Center for Precision Medicine and Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan; (T.-Y.L.); (C.-C.L.); (Y.-S.C.); (Y.-C.C.); (H.-D.C.); (I.-L.L.); (C.-C.C.); (Y.-P.C.)
- Department of Laboratory Medicine, China Medical University Hospital, Taichung 404, Taiwan
| | - I-Lu Lai
- Center for Precision Medicine and Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan; (T.-Y.L.); (C.-C.L.); (Y.-S.C.); (Y.-C.C.); (H.-D.C.); (I.-L.L.); (C.-C.C.); (Y.-P.C.)
| | - Cheng-Yuan Peng
- Department of Internal Medicine, Section of Hepatobiliary Tract, China Medical University Hospital, Taichung 40447, Taiwan;
| | - Chin-Chun Chung
- Center for Precision Medicine and Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan; (T.-Y.L.); (C.-C.L.); (Y.-S.C.); (Y.-C.C.); (H.-D.C.); (I.-L.L.); (C.-C.C.); (Y.-P.C.)
| | - Yu-Pao Chou
- Center for Precision Medicine and Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan; (T.-Y.L.); (C.-C.L.); (Y.-S.C.); (Y.-C.C.); (H.-D.C.); (I.-L.L.); (C.-C.C.); (Y.-P.C.)
| | - Fuu-Jen Tsai
- Department of Medical Research, China Medical University Hospital, Taichung 40447, Taiwan
- School of Chinese Medicine, China Medical University, Taichung 40402, Taiwan
- Division of Pediatric Genetics, Children’s Hospital of China Medical University, Taichung 40447, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung 41354, Taiwan
| | - Long-Bin Jeng
- Department of Surgery, Section of Hepatobiliary Tract, China Medical University Hospital, Taichung 40447, Taiwan;
| | - Jan-Gowth Chang
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung 41354, Taiwan
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung 40402, Taiwan
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Zeng Z, Liao X, Huang K, Han C, Qin W, Su H, Ye X, Yang C, Zhou X, Wei Y, Mo S, Liu J, Lan C, Huang X, Huang Z, Peng K, Gao Q, Peng T, Zhu G. Outer dynein arm docking complex subunit 2 polymorphism rs7893462 modulates hepatocellular carcinoma susceptibility and can serve as an overall survival biomarker for hepatitis B virus-related hepatocellular carcinoma after hepatectomy: a cohort study with a long-term follow-up. World J Surg Oncol 2023; 21:322. [PMID: 37833735 PMCID: PMC10571289 DOI: 10.1186/s12957-023-03205-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Genetic variants of outer dynein arm docking complex subunit 2 (ODAD2) have been reported to be closely associated with primary ciliary dyskinesia and colorectal cancer in previous studies, but the association of genetic variants of ODAD2 with hepatocellular carcinoma (HCC) has not been reported. METHODS We enrolled 80 healthy subjects and 468 Guangxi hepatitis B virus (HBV)-related HCC patients in this study. A case-control study method was used to explore the association of different ODAD2-rs7893462 genotypes with hepatocarcinogenesis. A comprehensive survival analysis was used to explore the association of rs7893462 with the prognosis of HBV-related HCC in Guangxi. RESULTS Through a case-control study, we observed that patients carrying the G allele of rs7893462 had a markedly increased susceptibility to hepatocarcinogenesis (odds ratio = 1.712, 95% confidence interval = 1.032-2.839, P = 0.037). We found that there were significant prognosis differences among three different genotypes of rs7893462. Nomogram analysis suggested that the contribution of rs7893462 polymorphisms to the prognosis of HBV-related HCC was second only to the BCLC stage. Stratified survival analysis suggested that the AG genotype of rs7893462 was an independent prognostic risk factor for HBV-related HCC. Joint effect survival analysis also observed that the AG genotype of rs7893462 combined with clinical parameters could significantly identify HBV-related HCC patients with different prognostic outcomes more accurately, and the AG genotype was also observed to be independent of clinical factors in HBV-related HCC survival. CONCLUSION The ODAD2-rs7893462 polymorphisms can be used as an independent prognostic indicator of HBV-related HCC overall survival and are significantly associated with susceptibility to hepatocarcinogenesis.
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Affiliation(s)
- Zhiming Zeng
- Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Xiwen Liao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Ketuan Huang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Chuangye Han
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Wei Qin
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Hao Su
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Xinping Ye
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Chengkun Yang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Xin Zhou
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Yongguang Wei
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Shutian Mo
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Junqi Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Chenlu Lan
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Xinlei Huang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Zaida Huang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Kai Peng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Qiang Gao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China
| | - Tao Peng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China.
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China.
| | - Guangzhi Zhu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China.
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Guangxi Zhuang Autonomous Region, Nanning, 530021, People's Republic of China.
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Liang S, Gao H, He T, Li L, Zhang X, Zhao L, Chen J, Xie Y, Bao J, Gao Y, Dai E, Wang Y. Association between SUMF1 polymorphisms and COVID-19 severity. BMC Genom Data 2023; 24:34. [PMID: 37344788 DOI: 10.1186/s12863-023-01133-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 05/22/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND Evidence shows that genetic factors play important roles in the severity of coronavirus disease 2019 (COVID-19). Sulfatase modifying factor 1 (SUMF1) gene is involved in alveolar damage and systemic inflammatory response. Therefore, we speculate that it may play a key role in COVID-19. RESULTS We found that rs794185 was significantly associated with COVID-19 severity in Chinese population, under the additive model after adjusting for gender and age (for C allele = 0.62, 95% CI = 0.44-0.88, P = 0.0073, logistic regression). And this association was consistent with this in European population Genetics Of Mortality In Critical Care (GenOMICC: OR for C allele = 0.94, 95% CI = 0.90-0.98, P = 0.0037). Additionally, we also revealed a remarkable association between rs794185 and the prothrombin activity (PTA) in subjects (P = 0.015, Generalized Linear Model). CONCLUSIONS In conclusion, our study for the first time identified that rs794185 in SUMF1 gene was associated with the severity of COVID-19.
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Affiliation(s)
- Shaohui Liang
- Department of Respiratory, Hebei Chest Hospital, Shijiazhuang, 050000, Hebei, China
| | - Huixia Gao
- Department of Laboratory Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China
| | - Tongxin He
- College of Plant Protection, Hunan Agricultural University, Changsha, 410128, Hunan, China
| | - Li Li
- Intensive Care Unit, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China
| | - Xin Zhang
- Department of Tuberculosis, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China
| | - Lei Zhao
- The Second Internal Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China
| | - Jie Chen
- Graduate School of Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Yanyan Xie
- Graduate School of Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Jie Bao
- Department of Respiratory, Hebei Chest Hospital, Shijiazhuang, 050000, Hebei, China
| | - Yong Gao
- Department of Respiratory, Hebei Chest Hospital, Shijiazhuang, 050000, Hebei, China
| | - Erhei Dai
- Department of Laboratory Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China.
| | - Yuling Wang
- Department of Tuberculosis, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China.
- Graduate School of Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
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Genetic Susceptibility to Hepatocellular Carcinoma in Patients with Chronic Hepatitis Virus Infection. Viruses 2023; 15:v15020559. [PMID: 36851773 PMCID: PMC9964813 DOI: 10.3390/v15020559] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/13/2023] [Accepted: 02/14/2023] [Indexed: 02/22/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths globally. The risk factors for HCC include chronic hepatitis B and C virus infections, excessive alcohol consumption, obesity, metabolic disease, and aflatoxin exposure. In addition to these viral and environmental risk factors, individual genetic predisposition is a major determinant of HCC risk. Familial clustering of HCC has been observed, and a hereditary factor likely contributes to the risk of HCC development. The familial aggregation may depend on a shared environment and genetic background as well as the interactions of environmental and genetic factors. Genome-wide association studies (GWASs) are one of the most practical tools for mapping the patterns of inheritance for the most common form of genomic variation, single nucleotide polymorphisms. This approach is practical for investigating genetic variants across the human genome, which is affected by thousands of common genetic variants that do not follow Mendelian inheritance. This review article summarizes the academic knowledge of GWAS-identified genetic loci and their association with HCC. We summarize the GWASs in accordance with various chronic hepatitis virus infection statuses. This genetic profiling could be used to identify candidate biomarkers to refine HCC screening and management by enabling individual risk-based personalization and stratification. A more comprehensive understanding of the genetic mechanisms underlying individual predisposition to HCC may lead to improvements in the prevention and early diagnosis of HCC and the development of effective treatment strategies.
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Huang Q, Liu Y, Qiu M, Lin Q, Wei X, Zhou Z, Liang X, Li R, Chen W, Zhou X, Yu H. Potentially functional variants of MAP3K14 in the NF-κB signaling pathway genes predict survival of HBV-related hepatocellular carcinoma patients. Front Oncol 2022; 12:990160. [PMID: 36119471 PMCID: PMC9478184 DOI: 10.3389/fonc.2022.990160] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022] Open
Abstract
Background The NF-κB signaling pathway plays an important role in associating inflammation with tumor development and progression. However, few studies have reported that roles of genetic variants of the NF-κB signaling pathway genes in survival of patients with HBV-related hepatocellular carcinoma (HBV-HCC), especially with regards to potentially functional SNPs. Methods We used multivariate Cox proportional hazards regression to evaluate associations between 2,060 single nucleotide polymorphisms (SNPs) in 20 NF-κB signaling pathway genes and survival of 866 HBV-HCC patients, which were randomly split (1:1) into discovery and validation datasets. Expression quantitative trait loci (eQTL) analysis was conducted to identify associations between survival-associated SNPs and mRNA expression of corresponding genes. Furthermore, online database was used to assess mRNA expression of corresponding genes and survival. Finally, receiver operating characteristic (ROC) curves were used to assess the prediction accuracy of models integrating both clinical and genetic variables on HCC survival. Results A total of 6 SNPs in MAP3K14 remained significantly associated with OS of HBV-HCC patients (P<0.05, BFDP<0.8). Further eQTL analysis demonstrated that significant correlations between the rs2074292 (G>A) A allele was associated with higher mRNA expression levels of MAP3K14 (P=0.044) in normal liver tissue, which was associated with worse survival of HBV-HCC patients. In the additive model, after adjusting for age, sex, smoking status, drinking status, AFP level, cirrhosis, embolus and BCLC stage, the combined dataset showed that HBV-HCC patients carrying the rs2074292 AA and GA genotypes (HR=1.71, 95%CI= 1.29-2.27, P=0.000) (HR=1.40, 95%CI=1.10-1.77, P=0.005) have worse OS than GG genotype, respectively. The addition of risk genotypes to the prediction models increased the AUC significantly from 71.15% to 73.11% (P=0.012) and from 72.55% to 74.21% (P=0.010) for 1-year and 3-year OS, respectively. Conclusion Our study indicated that MAP3K14 rs2074292 A allele may be a potential predictor of HBV-HCC survival, likely regulating MAP3K14 mRNA expression.
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Affiliation(s)
- Qiongguang Huang
- School of Public Health, Guangxi Medical University, Nanning, China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xueyan Wei
- School of Public Health, Guangxi Medical University, Nanning, China
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xiumei Liang
- Department of Disease Process Management, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Runwei Li
- Department of Occupational and Environmental Health, Indiana University, Bloomington, IN, United States
| | - Weiyi Chen
- School of Public Health, Guangxi Medical University, Nanning, China
| | - Xianguo Zhou
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
- *Correspondence: Hongping Yu, ; Xianguo Zhou,
| | - Hongping Yu
- School of Public Health, Guangxi Medical University, Nanning, China
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Ministry of Education, Nanning, China
- Key Cultivated Laboratory of Cancer Molecular Medicine, Health Commission of Guangxi Zhuang Autonomous Region, Nanning, China
- *Correspondence: Hongping Yu, ; Xianguo Zhou,
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15
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Chen X, Peng Y, Xue H, Liu G, Wang N, Shao Z. MiR-21 regulating PVT1/PTEN/IL-17 axis towards the treatment of infectious diabetic wound healing by modified GO-derived biomaterial in mouse models. J Nanobiotechnology 2022; 20:309. [PMID: 35764963 PMCID: PMC9238182 DOI: 10.1186/s12951-022-01516-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/18/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Diabetic foot ulcer (DFU), persistent hyperglycemia and inflammation, together with impaired nutrient and oxygen deficiency, can present abnormal angiogenesis following tissue injury such that these tissues fail to heal properly. It is critical to design a new treatment method for DFU patients with a distinct biomechanism that is more effective than current treatment regimens. METHOD Graphene oxide (GO) was combined with a biocompatible polymer as a kind of modified GO-based hydrogel. The characterization of our biomaterial was measured in vitro. The repair efficiency of the biomaterial was evaluated in the mouse full-skin defect models. The key axis related to diabetic wound (DW) was identified and investigated using bioinformatics analyses and practical experiments. RESULT In the study, we found that our modified GO-based wound dressing material is a promising option for diabetic wound. Secondly, our biomaterial could enhance the secretion of small EVs (sEVs) with more miR-21 by adipose-derived mesenchymal stem cells (AD-MSCs). Thirdly, the PVT1/PTEN/IL-17 axis was found to be decreased to promote DFU wound healing by modifying miR-21 with the discovery of PVT1 as a critical LncRNA by bioinformatics analysis and tests. CONCLUSION These findings could aid in the development of clinical care strategies for DFU wounds.
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Affiliation(s)
- Xi Chen
- grid.33199.310000 0004 0368 7223Department of Orthopeadics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 Hubei China
| | - Yizhong Peng
- grid.33199.310000 0004 0368 7223Department of Orthopeadics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 Hubei China
| | - Hang Xue
- grid.33199.310000 0004 0368 7223Department of Orthopeadics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 Hubei China
| | - Guohui Liu
- grid.33199.310000 0004 0368 7223Department of Orthopeadics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 Hubei China
| | - Ning Wang
- grid.162110.50000 0000 9291 3229National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan, 430070 China
| | - Zengwu Shao
- grid.33199.310000 0004 0368 7223Department of Orthopeadics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 Hubei China
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16
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Niu ZS, Wang WH. Circular RNAs in hepatocellular carcinoma: Recent advances. World J Gastrointest Oncol 2022; 14:1067-1085. [PMID: 35949213 PMCID: PMC9244981 DOI: 10.4251/wjgo.v14.i6.1067] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/22/2021] [Accepted: 05/28/2022] [Indexed: 02/06/2023] Open
Abstract
Circular RNAs (circRNAs) have covalently closed loop structures at both ends, exhibiting characteristics dissimilar to those of linear RNAs. Emerging evidence suggests that aberrantly expressed circRNAs play crucial roles in hepatocellular carcinoma (HCC) by affecting the proliferation, apoptosis and invasive capacity of HCC cells. Certain circRNAs may be used as biomarkers to diagnose and predict the prognosis of HCC. Therefore, circRNAs are expected to become novel biomarkers and therapeutic targets for HCC. Herein, we briefly review the characteristics and biological functions of circRNAs, focusing on their roles in HCC to provide new insights for the early diagnosis and targeted therapy of HCC.
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Affiliation(s)
- Zhao-Shan Niu
- Laboratory of Micromorphology, School of Basic Medicine, Qingdao University, Qingdao 266071, Shandong Province, China
| | - Wen-Hong Wang
- Department of Pathology, School of Basic Medicine, Qingdao University, Qingdao 266071, Shandong Province, China
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17
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Shen T, Ni T, Chen J, Chen H, Ma X, Cao G, Wu T, Xie H, Zhou B, Wei G, Saiyin H, Shen S, Yu P, Xiao Q, Liu H, Gao Y, Long X, Yin J, Guo Y, Wu J, Wei GH, Hou J, Jiang DK. An enhancer variant at 16q22.1 predisposes to hepatocellular carcinoma via regulating PRMT7 expression. Nat Commun 2022; 13:1232. [PMID: 35264579 PMCID: PMC8907293 DOI: 10.1038/s41467-022-28861-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 02/16/2022] [Indexed: 12/24/2022] Open
Abstract
Most cancer causal variants are found in gene regulatory elements, e.g., enhancers. However, enhancer variants predisposing to hepatocellular carcinoma (HCC) remain unreported. Here we conduct a genome-wide survey of HCC-susceptible enhancer variants through a three-stage association study in 11,958 individuals and identify rs73613962 (T > G) within the intronic region of PRMT7 at 16q22.1 as a susceptibility locus of HCC (OR = 1.41, P = 6.02 × 10-10). An enhancer dual-luciferase assay indicates that the rs73613962-harboring region has allele-specific enhancer activity. CRISPR-Cas9/dCas9 experiments further support the enhancer activity of this region to regulate PRMT7 expression. Mechanistically, transcription factor HNF4A binds to this enhancer region, with preference to the risk allele G, to promote PRMT7 expression. PRMT7 upregulation contributes to in vitro, in vivo, and clinical HCC-associated phenotypes, possibly by affecting the p53 signaling pathway. This concept of HCC pathogenesis may open a promising window for HCC prevention/treatment.
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Affiliation(s)
- Ting Shen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.,School of Life Sciences, Central South University, 510006, Changsha, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Jiaxuan Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Haitao Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.,School of Public Health (Shenzhen), Sun Yat-sen University, 528406, Shenzhen, China
| | - Xiaopin Ma
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Guangwen Cao
- Department of Epidemiology, Naval Medical University, 200433, Shanghai, China
| | - Tianzhi Wu
- Institute of Bioinformatics, School of Basic Medical Science, Southern Medical University, 510515, Guangzhou, China
| | - Haisheng Xie
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Gang Wei
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Hexige Saiyin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Suqin Shen
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Peng Yu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Qianyi Xiao
- School of Public Health, Fudan University, 200032, Shanghai, China
| | - Hui Liu
- School of Basic Medical Sciences; The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's hospital, Guangzhou Medical University, 510182, Guangzhou, China
| | - Yuzheng Gao
- Department of Forensic Medicine, Medical College of Soochow University, 215123, Suzhou, Jiangsu Province, China
| | - Xidai Long
- Department of Pathology, Youjiang Medical College for Nationalities, 533000, Baise, Guangxi Province, China
| | - Jianhua Yin
- Department of Epidemiology, Naval Medical University, 200433, Shanghai, China
| | - Yanfang Guo
- Institute of Bioinformatics, School of Basic Medical Science, Southern Medical University, 510515, Guangzhou, China
| | - Jiaxue Wu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Gong-Hong Wei
- Biocenter Oulu, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014, Oulu, Finland.,School of Basic Medical Sciences, Fudan University, 200032, Shanghai, China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - De-Ke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.
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18
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Li J, Tao Y, Cong H, Zhu E, Cai T. Predicting liver cancers using skewed epidemiological data. Artif Intell Med 2022; 124:102234. [DOI: 10.1016/j.artmed.2021.102234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 11/26/2021] [Accepted: 12/21/2021] [Indexed: 01/04/2023]
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19
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Fu Y, Hu L, Ren HW, Zuo Y, Chen S, Zhang QS, Shao C, Ma Y, Wu L, Hao JJ, Wang CZ, Wang Z, Yanagihara R, Deng Y. Prognostic Factors for COVID-19 Hospitalized Patients with Preexisting Type 2 Diabetes. Int J Endocrinol 2022; 2022:9322332. [PMID: 35047039 PMCID: PMC8763039 DOI: 10.1155/2022/9322332] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 12/01/2021] [Accepted: 12/07/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) as a worldwide chronic disease combined with the COVID-19 pandemic prompts the need for improving the management of hospitalized COVID-19 patients with preexisting T2D to reduce complications and the risk of death. This study aimed to identify clinical factors associated with COVID-19 outcomes specifically targeted at T2D patients and build an individualized risk prediction nomogram for risk stratification and early clinical intervention to reduce mortality. METHODS In this retrospective study, the clinical characteristics of 382 confirmed COVID-19 patients, consisting of 108 with and 274 without preexisting T2D, from January 8 to March 7, 2020, in Tianyou Hospital in Wuhan, China, were collected and analyzed. Univariate and multivariate Cox regression models were performed to identify specific clinical factors associated with mortality of COVID-19 patients with T2D. An individualized risk prediction nomogram was developed and evaluated by discrimination and calibration. RESULTS Nearly 15% (16/108) of hospitalized COVID-19 patients with T2D died. Twelve risk factors predictive of mortality were identified. Older age (HR = 1.076, 95% CI = 1.014-1.143, p=0.016), elevated glucose level (HR = 1.153, 95% CI = 1.038-1.28, p=0.0079), increased serum amyloid A (SAA) (HR = 1.007, 95% CI = 1.001-1.014, p=0.022), diabetes treatment with only oral diabetes medication (HR = 0.152, 95%CI = 0.032-0.73, p=0.0036), and oral medication plus insulin (HR = 0.095, 95%CI = 0.019-0.462, p=0.019) were independent prognostic factors. A nomogram based on these prognostic factors was built for early prediction of 7-day, 14-day, and 21-day survival of diabetes patients. High concordance index (C-index) was achieved, and the calibration curves showed the model had good prediction ability within three weeks of COVID-19 onset. CONCLUSIONS By incorporating specific prognostic factors, this study provided a user-friendly graphical risk prediction tool for clinicians to quickly identify high-risk T2D patients hospitalized for COVID-19.
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Affiliation(s)
- Yuanyuan Fu
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Ling Hu
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Hong-Wei Ren
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Yi Zuo
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Shaoqiu Chen
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Qiu-Shi Zhang
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Chen Shao
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Yao Ma
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Lin Wu
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Jun-Jie Hao
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Chuan-Zhen Wang
- Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Zhanwei Wang
- Cancer Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Richard Yanagihara
- Department of Pediatrics, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Youping Deng
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
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20
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Wang Z, Budhu AS, Shen Y, Wong LL, Hernandez BY, Tiirikainen M, Ma X, Irwin ML, Lu L, Zhao H, Lim JK, Taddei T, Mishra L, Pawlish K, Stroup A, Brown R, Nguyen MH, Koshiol J, Hernandez MO, Forgues M, Yang HI, Lee MH, Huang YH, Iwasaki M, Goto A, Suzuki S, Matsuda K, Tanikawa C, Kamatani Y, Mann D, Guarnera M, Shetty K, Thomas CE, Yuan JM, Khor CC, Koh WP, Risch H, Wang XW, Yu H. Genetic susceptibility to hepatocellular carcinoma in chromosome 22q13.31, findings of a genome-wide association study. JGH Open 2021; 5:1363-1372. [PMID: 34950780 PMCID: PMC8674550 DOI: 10.1002/jgh3.12682] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 11/05/2021] [Accepted: 11/07/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIM Chronic hepatitis C virus (HCV) infection, long-term alcohol use, cigarette smoking, and obesity are the major risk factors for hepatocellular carcinoma (HCC) in the United States, but the disease risk varies substantially among individuals with these factors, suggesting host susceptibility to and gene-environment interactions in HCC. To address genetic susceptibility to HCC, we conducted a genome-wide association study (GWAS). METHODS Two case-control studies on HCC were conducted in the United States. DNA samples were genotyped using the Illumian microarray chip with over 710 000 single nucleotide polymorphisms (SNPs). We compared these SNPs between 705 HCC cases and 1455 population controls for their associations with HCC and verified our findings in additional studies. RESULTS In this GWAS, we found that two SNPs were associated with HCC at P < 5E-8 and six SNPs at P < 5E-6 after adjusting for age, sex, and the top three principal components (PCs). Five of the SNPs in chromosome 22q13.31, three in PNPLA3 (rs2281135, rs2896019, and rs4823173) and two in SAMM50 (rs3761472, rs3827385), were replicated in a small US case-control study and a cohort study in Singapore. The associations remained significant after adjusting for body mass index and HCV infection. Meta-analysis of multiple datasets indicated that these SNPs were significantly associated with HCC. CONCLUSIONS SNPs in PNPLA3 and SAMM50 are known risk loci for nonalcoholic fatty liver disease (NAFLD) and are suspected to be associated with HCC. Our GWAS demonstrated the associations of these SNPs with HCC in a US population. Biological mechanisms underlying the relationship remain to be elucidated.
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Affiliation(s)
- Zhanwei Wang
- University of Hawaii Cancer Center Honolulu Hawaii USA
| | - Anuradha S Budhu
- Laboratory of Human Carcinogenesis, Liver Cancer Program, Center for Cancer Research National Cancer Institute Bethesda Maryland USA
| | - Yi Shen
- University of Hawaii Cancer Center Honolulu Hawaii USA
| | | | | | | | - Xiaomei Ma
- Yale School of Public Health New Haven Connecticut USA
| | | | - Lingeng Lu
- Yale School of Public Health New Haven Connecticut USA
| | - Hongyu Zhao
- Yale School of Public Health New Haven Connecticut USA
| | - Joseph K Lim
- Yale School of Medicine New Haven Connecticut USA
| | - Tamar Taddei
- Yale School of Medicine New Haven Connecticut USA
| | - Lopa Mishra
- Center for Translational Medicine, Department of Surgery The George Washington University Washington District of Columbia USA
| | - Karen Pawlish
- New Jersey State Cancer Registry, New Jersey Department of Health Trenton New Jersey USA
| | - Antoinette Stroup
- Rutgers Cancer Institute, and Rutgers School of Public Health New Brunswick New Jersey USA
| | - Robert Brown
- Weill Cornell Medical College, and College of Physicians and Surgeons, Columbia University New York New York USA
| | - Mindie H Nguyen
- Division of Gastroenterology and Hepatology Stanford University Medical Center Palo Alto California USA
| | - Jill Koshiol
- Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda Maryland USA
| | - Maria O Hernandez
- Laboratory of Human Carcinogenesis Center for Cancer Research, National Cancer Institute Bethesda Maryland USA
| | - Marshonna Forgues
- Laboratory of Human Carcinogenesis Center for Cancer Research, National Cancer Institute Bethesda Maryland USA
| | - Hwai-I Yang
- Genomics Research Center, Academia Sinica Taipei Taiwan.,Institute of Clinical Medicine, National Yang Ming University Taipei Taiwan
| | - Mei-Hsuan Lee
- Institute of Clinical Medicine, National Yang Ming University Taipei Taiwan
| | - Yu-Han Huang
- Institute of Clinical Medicine, National Yang Ming University Taipei Taiwan
| | - Motoki Iwasaki
- Division of Epidemiology Center for Public Health Sciences, National Cancer Center Tokyo Japan
| | - Atsushi Goto
- Division of Epidemiology Center for Public Health Sciences, National Cancer Center Tokyo Japan
| | - Shiori Suzuki
- Division of Epidemiology Center for Public Health Sciences, National Cancer Center Tokyo Japan
| | - Koichi Matsuda
- Graduate School of Frontier Sciences, and Institute of Medical Science, University of Tokyo Tokyo Japan
| | - Chizu Tanikawa
- Graduate School of Frontier Sciences, and Institute of Medical Science, University of Tokyo Tokyo Japan
| | - Yoichiro Kamatani
- Graduate School of Frontier Sciences, and Institute of Medical Science, University of Tokyo Tokyo Japan
| | - Dean Mann
- Department of Pathology University of Maryland School of Medicine Baltimore Maryland USA
| | - Maria Guarnera
- Department of Pathology University of Maryland School of Medicine Baltimore Maryland USA
| | - Kirti Shetty
- Department of Gastroenterology and Hepatology University of Maryland School of Medicine Baltimore Maryland USA
| | - Claire E Thomas
- Division of Cancer Control and Population Sciences University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center Pittsburgh Pennsylvania USA.,Department of Epidemiology Graduate School of Public Health, University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center Pittsburgh Pennsylvania USA.,Department of Epidemiology Graduate School of Public Health, University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research Singapore Singapore.,Singapore Eye Research Institute Singapore Singapore
| | - Woon-Puay Koh
- Health Systems and Services Research, Duke-NUS Medical School Singapore Singapore Singapore.,Saw Swee Hock School of Public Health, National University of Singapore Singapore Singapore
| | - Harvey Risch
- Yale School of Public Health New Haven Connecticut USA
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Liver Cancer Program, Center for Cancer Research National Cancer Institute Bethesda Maryland USA
| | - Herbert Yu
- University of Hawaii Cancer Center Honolulu Hawaii USA
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21
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Wang H, Yang B, Cai X, Cheng X, Shen N, Liu L, Li J, Wang Y, He H, Ying P, Li B, Lu Z, Yang N, Wang X, Zhang F, Li Y, Wang W, Ning C, Zhu Y, Chang J, Miao X, Tian J, Zhong R. Hepatocellular carcinoma risk variant modulates lncRNA HLA-DQB1-AS1 expression via a long-range enhancer-promoter interaction. Carcinogenesis 2021; 42:1347-1356. [PMID: 34665859 DOI: 10.1093/carcin/bgab095] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/15/2021] [Accepted: 10/18/2021] [Indexed: 01/01/2023] Open
Abstract
Substantial evidence highlighted the critical role of long non-coding RNAs (lncRNA) in driving hepatocarcinogenesis. We hypothesized that functional variants in genome-wide association studies (GWASs) associated loci might alter the expression levels of lncRNAs and contribute to the development of hepatocellular carcinoma (HCC). Here, we prioritized potentially cis-expression quantitative trait loci-based single nucleotide polymorphism (SNP)-lncRNA association together with the physical interaction by the analyses from Hi-C data in GWAS loci of chronic hepatitis B and HCC. Subsequently, by leveraging two-stage case-control study (1738 hepatitis B [HBV]) related HCC cases and 1988 HBV persistent carriers) and biological assays, we identified that rs2647046 was significantly associated with HCC risk (odds ratio = 1.26, 95% CI = 1.11 to 1.43, P = 4.14 × 10-4). Luciferase reporter assays and electrophoretic mobility shift assays showed that rs2647046 A allele significantly increased transcriptional activity via influencing transcript factor binding affinity. Allele-specific chromosome conformation capture assays revealed that enhancer with rs2647046 interacted with the HLA-DQB1-AS1 promoter to allele-specifically influence its expression by CTCF-mediated long-range loop. Cell proliferation assays indicated that HLA-DQB1-AS1 is a potential oncogene in HCC. Our study showed HLA-DQB1-AS1 regulated by a causal SNP in a long-range interaction manner conferred the susceptibility to HCC, suggesting an important mechanism of modulating lncRNA expression for risk-associated SNPs in the etiology of HCC.
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Affiliation(s)
- Haoxue Wang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Beifang Yang
- Hubei Institute for Infectious Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China
| | - Xiaomin Cai
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiang Cheng
- Department of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Na Shen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Li Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jiaoyuan Li
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ying Wang
- Department of Virology, Wuhan Centers for Disease Prevention and Control, Wuhan, Hubei, China
| | - Heng He
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Pingting Ying
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Bin Li
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Zequn Lu
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Nan Yang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiaoyang Wang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Fuwei Zhang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yanmin Li
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Wenzhuo Wang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Caibo Ning
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Ying Zhu
- School of Health Sciences, Wuhan University, Wuhan 430071, Hubei, China
| | - Jiang Chang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiaoping Miao
- School of Health Sciences, Wuhan University, Wuhan 430071, Hubei, China
| | - Jianbo Tian
- School of Health Sciences, Wuhan University, Wuhan 430071, Hubei, China
| | - Rong Zhong
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
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22
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Xie C, Niu Y, Ping J, Wang Y, Yang C, Li Y, Zhou G. Genome-wide association study identifies new loci associated with noise-induced tinnitus in Chinese populations. BMC Genom Data 2021; 22:31. [PMID: 34482816 PMCID: PMC8420059 DOI: 10.1186/s12863-021-00987-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 08/25/2021] [Indexed: 11/21/2022] Open
Abstract
Background Tinnitus is an auditory phantom sensation in the absence of an acoustic stimulus, which affects nearly 15% of the population. Excessive noise exposure is one of the main causes of tinnitus. To now, the knowledge of the genetic determinants of susceptibility to tinnitus remains limited. Results We performed a two-stage genome-wide association study (GWAS) and identified that two single nucleotide polymorphisms (SNPs), rs2846071 located in the intergenic region at 11q13.5 (odds ratio [OR] = 2.14, 95% confidence interval [CI] = 1.96–3.40, combined P = 4.89 × 10− 6) and rs4149577 located in the intron of TNFRSF1A gene at 12p13.31 (OR = 2.05, 95% CI = 1.89–2.51, combined P = 6.88 × 10− 6), are significantly associated with the susceptibility to noise-induced tinnitus. Furthermore, the expression quantitative trait loci (eQTL) analyses revealed that rs2846071 is significantly correlated with the expression of WNT11 gene, and rs4149577 with the expression of TNFRSF1A gene in multiple brain tissues (all P < 0.05). The newly identified candidate gene WNT11 is involved in Wnt pathway, and TNFRSF1A in the tumor necrosis factor pathway, respectively. Pathway enrichment analyses also showed that these two pathways are closely relevant to tinnitus. Conclusions Our findings highlight two novel loci at 11q13.5 and 12p13.31 conferring susceptibility to noise-induced tinnitus. and suggest that the WNT11 and TNFRSF1A genes might be the candidate causal targets of 11q13.5 and 12p13.31 loci, respectively. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-021-00987-y.
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Affiliation(s)
- Chengyong Xie
- Medical College of Guizhou University, Guiyang City, 550025, China
| | - Yuguang Niu
- Department of Ambulatory Medicine, The First Medical Center of PLA General Hospital, Beijing, 100853, China
| | - Jie Ping
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Yahui Wang
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Chenning Yang
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Yuanfeng Li
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, China.
| | - Gangqiao Zhou
- Medical College of Guizhou University, Guiyang City, 550025, China. .,State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, China. .,Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, 210029, China.
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23
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Mai H, Chen J, Chen H, Liu Z, Huang G, Wang J, Xiao Q, Ren W, Zhou B, Hou J, Jiang D. Fine Mapping of the MHC Region Identifies Novel Variants Associated with HBV-Related Hepatocellular Carcinoma in Han Chinese. J Hepatocell Carcinoma 2021; 8:951-961. [PMID: 34430511 PMCID: PMC8378933 DOI: 10.2147/jhc.s321919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 07/29/2021] [Indexed: 12/24/2022] Open
Abstract
Introduction Genome-wide association studies identified susceptibility loci in the major histocompatibility complex region for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). However, the causal variants underlying HBV-related HCC pathogenesis remain elusive. Methods With a total of 1,161 HBV-related HCC cases and 1,353 chronic HBV carriers without HCC, we imputed human leukocyte antigen (HLA) variants based on a Chinese HLA reference panel and evaluated the associations of these variants with the risk of HBV-related HCC. Conditional analyses were used to identify independent signals associated with the risk of HBV-related HCC (P false-discovery rate (FDR) <0.20). A total of 14,930 variants within the MHC region were genotyped or imputed. Results We identified two variants, rs114401688 (P = 1.05 × 10−6, PFDR = 2.43 × 10−3) and rs115126566 (P = 9.04 × 10−5, PFDR = 1.77 × 10−1), that are independently associated with the risk of HBV-related HCC. Single nucleotide polymorphism (SNP) rs114401688 is in linkage disequilibrium with a previously reported SNP rs9275319. In the current study, we found that its association with HCC could be explained by HLA-DQB1*04 and HLA-DRB1*04. SNP rs115126566 is a novel risk variant and may function by regulating transcriptions of HLA-DPA1/DPB1 through enhancer-mediated mechanisms. HLA zygosity analysis showed that homozygosity at HLA-DQB1 gene is suggestively associated with a higher risk of HCC (P = 0.10) and the risk was more pronounced in the older age group (age ≥50, P = 0.03). Discussion Our findings further the understanding of the genetic basis for HBV-related HCC predisposition in chronic HBV carriers.
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Affiliation(s)
- Haoming Mai
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jiaxuan Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Haitao Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518107, People's Republic of China
| | - Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Guanlin Huang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jialin Wang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Qianyi Xiao
- School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China
| | - Weihua Ren
- Central Laboratory, First Affiliated Hospital, Henan University of Science and Technology, Luoyang, Henan Province, 471009, People's Republic of China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Deke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
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24
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Tian A, Li Y, Fan H, Hu P, Xu R, Yuan H, Cai J, Zhang W, Yue M, Li J, Dong C, Zhu C. Association of Elongation Factor Tu GTP-binding Domain-containing 2 Gene (EFTUD2) Polymorphism with the Risk of Hepatitis B Virus Infection. Immunol Invest 2021; 51:1485-1497. [PMID: PMID: 34436958 DOI: 10.1080/08820139.2021.1970763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND The elongation factor Tu GTP-binding domain-containing 2 gene (EFTUD2) participates in antiviral immune responses. However, the association between genetic polymorphisms of EFTUD2 and hepatitis B virus (HBV) infection susceptibility has not been well-studied. We analyzed the relationship between single nucleotide polymorphisms (SNPs) of EFTUD2 and HBV infection susceptibility and clarified the potential function. METHODS In total, 448 control subjects and 379 patients with chronic HBV infection from Zhangjiagang First People's Hospital (Jiangsu, China) were enrolled. Sequenom iPLEX assay was used to detect genotypes of four SNPs (rs1071682, rs2277617, rs2289674, and rs3809756). Dual-luciferase reporter vectors with wild-type A and mutant-type C alleles of EFTUD2 rs3809756 were transfected into HepG2 cells to explore effects on transcription activity. RESULTS Only rs3809756 was significantly associated with HBV infection susceptibility (P < .05). The risk of HBV infection was higher in individuals carrying the rs3809756-CC genotype than in those carrying the rs3809756-AA genotype (odds ratio [OR] = 1.945, 95% confidence interval [CI] = 1.129-3.351, P = .017). Subgroup analysis based on the dominant model revealed that rs3809756-AC and rs3809756-CC carriers had a significantly higher risk of HBV infection than rs3809756-AA carriers among patients who were male (OR = 1.732, 95% CI = 1.218-2.464, P = .002), were aged ≥47 years (OR = 1.502, 95% CI = 1.050-2.148, P = .026), or without liver cirrhosis (OR = 1.407, 95% CI = 1.077-1.838, P = .012). In the dual-luciferase reporter assay, the relative luciferase activity of rs3809756-C was significantly lower than that of rs3809756-A (P < .05). CONCLUSION EFTUD2 rs3809756A>C was associated with HBV infection susceptibility and might be involved in the downregulation of promoter activity.
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Affiliation(s)
- Anran Tian
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yuwen Li
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Haozhi Fan
- Department of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Pingping Hu
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ruirui Xu
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Yuan
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jinyuan Cai
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wen Zhang
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ming Yue
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jun Li
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chen Dong
- Department of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Chuanlong Zhu
- Department of Infectious Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Department of Tropical Diseases, The Second Affiliation Hospital of Hainan Medical University, Haikou, China
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Aishanjiang K, Wei XD, Fu Y, Lin X, Ma Y, Le J, Han Q, Wang X, Kong X, Gu J, Wu H. Circular RNAs and Hepatocellular Carcinoma: New Epigenetic Players With Diagnostic and Prognostic Roles. Front Oncol 2021; 11:653717. [PMID: 33959506 PMCID: PMC8093866 DOI: 10.3389/fonc.2021.653717] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 03/22/2021] [Indexed: 12/24/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide. Due to the lack of potent diagnosis and prognosis biomarkers and effective therapeutic targets, the overall prognosis of survival is poor in HCC patients. Circular RNAs (circRNAs) are a class of novel endogenous non-coding RNAs with covalently closed loop structures and implicated in diverse physiological processes and pathological diseases. Recent studies have demonstrated the involvement of circRNAs in HCC diagnosis, prognosis, development, and drug resistance, suggesting that circRNAs may be a class of novel targets for improving HCC diagnosis, prognosis, and treatments. In fact, some artificial circRNAs have been engineered and showed their therapeutic potential in treating HCV infection and gastric cancer. In this review, we introduce the potential of circRNAs as biomarkers for HCC diagnosis and prognosis, as therapeutic targets for HCC treatments and discuss the challenges in circRNA research and chances of circRNA application.
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Affiliation(s)
- Kedeerya Aishanjiang
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Department of Collaborative Innovation Center for Biomedicine, Shanghai, China.,Department of Transplantation, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin-Dong Wei
- Department of General Surgery, The 81st Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Nanjing, China
| | - Yi Fu
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Department of Collaborative Innovation Center for Biomedicine, Shanghai, China
| | - Xinjie Lin
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Department of Collaborative Innovation Center for Biomedicine, Shanghai, China
| | - Yujie Ma
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Department of Collaborative Innovation Center for Biomedicine, Shanghai, China
| | - Jiamei Le
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Department of Collaborative Innovation Center for Biomedicine, Shanghai, China
| | - Qiuqin Han
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Department of Collaborative Innovation Center for Biomedicine, Shanghai, China
| | - Xuan Wang
- Department of General Surgery, The 81st Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Nanjing, China
| | - Xiaoni Kong
- Institute of Clinical Immunology, Department of Liver Diseases, Central Laboratory, ShuGuang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jinyang Gu
- Department of Transplantation, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hailong Wu
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Department of Collaborative Innovation Center for Biomedicine, Shanghai, China.,Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China.,Collaborative Innovation Center for Biomedicine, Shanghai University of Medicine & Health Sciences, Shanghai, China
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26
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Ou G, Liu X, Jiang Y. HLA-DPB1 alleles in hepatitis B vaccine response: A meta-analysis. Medicine (Baltimore) 2021; 100:e24904. [PMID: 33832070 PMCID: PMC8036076 DOI: 10.1097/md.0000000000024904] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 01/31/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The role of the HLA-DRB1 and HLA-DQB1 genes in the antibody response to hepatitis B (HB) vaccine has been well established; however, the involvement of the HLA-DPB1 allele in the HB vaccine immune response remained to be clarified by a systematic review. METHODS A meta-analysis was performed in which databases were searched for relevant studies published in English or Chinese up until June 1, 2020. Six studies were identified and a total of 10 alleles were processed into statistical processing in this meta-analysis. RESULTS Three thousand one hundred forty four subjects (including 2477 responders and 667 non-responders) were included in this research. Alleles HLA-DPB1∗02:02, DPB1∗03:01, DPB1∗04:01, DPB1∗04:02, and DPB1∗14:01 were found to be associated with a significant increase in the antibody response to HB vaccine, and their pooled odds ratios (ORs) were 4.53, 1.57, 3.33, 4.20, and 1.79, respectively; whereas DPB1∗05:01 (OR = 0.73) showed the opposite correlation. CONCLUSIONS These findings suggested that specific HLA-DPB1 alleles are associated with the antibody response to HB vaccine.
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Affiliation(s)
- Guojin Ou
- Department of Laboratory Medicine, West China Second University Hospital, Chengdu, Sichuan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, China
| | - Xiaojuan Liu
- Department of Laboratory Medicine, West China Second University Hospital, Chengdu, Sichuan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, China
| | - Yongmei Jiang
- Department of Laboratory Medicine, West China Second University Hospital, Chengdu, Sichuan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, China
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27
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Ye X, Wei J, Yue M, Wang Y, Chen H, Zhang Y, Wang Y, Zhang M, Huang P, Yu R. Leveraging Single-Cell RNA-seq Data to Uncover the Association Between Cell Type and Chronic Liver Diseases. Front Genet 2021; 12:637322. [PMID: PMID: 33763117 PMCID: PMC7982650 DOI: 10.3389/fgene.2021.637322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 01/25/2021] [Indexed: 12/29/2022] Open
Abstract
Background Components of liver microenvironment is complex, which makes it difficult to clarify pathogenesis of chronic liver diseases (CLD). Genome-wide association studies (GWASs) have greatly revealed the role of host genetic background in CLD pathogenesis and prognosis, while single-cell RNA sequencing (scRNA-seq) enables interrogation of the cellular diversity and function of liver tissue at unprecedented resolution. Here, we made integrative analysis on the GWAS and scRNA-seq data of CLD to uncover CLD-related cell types and provide clues for understanding on the pathogenesis. Methods We downloaded three GWAS summary data and three scRNA-seq data on CLD. After defining the cell types for each scRNA-seq data, we used RolyPoly and LDSC-cts to integrate the GWAS and scRNA-seq. In addition, we analyzed one scRNA-seq data without association to CLD to validate the specificity of our findings. Results After processing the scRNA-seq data, we obtain about 19,002–32,200 cells and identified 10–17 cell types. For the HCC analysis, we identified the association between B cell and HCC in two datasets. RolyPoly also identified the association, when we integrated the two scRNA-seq datasets. In addition, we also identified natural killer (NK) cell as HCC-associated cell type in one dataset. In specificity analysis, we identified no significant cell type associated with HCC. As for the cirrhosis analysis, we obtained no significant related cell type. Conclusion In this integrative analysis, we identified B cell and NK cell as HCC-related cell type. More attention and verification should be paid to them in future research.
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Affiliation(s)
- Xiangyu Ye
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Julong Wei
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Ming Yue
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yan Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongbo Chen
- Department of Infectious Disease, Jurong Hospital Affiliated to Jiangsu University, Jurong, China
| | - Yongfeng Zhang
- Department of Infectious Disease, Jurong Hospital Affiliated to Jiangsu University, Jurong, China
| | - Yifan Wang
- Department of Infectious Disease, Jurong Hospital Affiliated to Jiangsu University, Jurong, China
| | - Meiling Zhang
- Department of Infectious Disease, Jurong Hospital Affiliated to Jiangsu University, Jurong, China
| | - Peng Huang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Rongbin Yu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
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28
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Liu Q, Liu G, Lin Z, Lin Z, Tian N, Lin X, Tan J, Huang B, Ji X, Pi L, Yu X, Liu L, Gao Y. The association of lncRNA SNPs and SNPs-environment interactions based on GWAS with HBV-related HCC risk and progression. Mol Genet Genomic Med 2021; 9:e1585. [PMID: 33432784 PMCID: PMC8077159 DOI: 10.1002/mgg3.1585] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 11/30/2020] [Accepted: 12/15/2020] [Indexed: 12/14/2022] Open
Abstract
Background Long non‐coding RNA (lncRNA) plays an essential role in hepatitis B virus‐related hepatocellular carcinoma (HBV‐related HCC) occurrence and development. Single nucleotide polymorphism (SNP) may affect HBV‐related HCC susceptibility by altering the function of lncRNA. However, the relationship between lncRNA SNPs and HBV‐related HCC occurrence and development is still unclear. Methods In the present study, based on HBV‐related HCC genome‐wide association studies, eight potentially functional SNPs from two lncRNAs were predicted using a set of bioinformatics strategies. In 643 HBV‐related HCC patients, 549 CHB carriers, and 553 HBV natural clearance subjects from Southern Chinese, we evaluated associations between SNPs and HBV‐related HCC occurrence or development with odds ratio (OR) and 95% confidence interval (CI) under credible genetic models. Results In HBV‐related HCC patients, rs9908998 was found to significantly increase the risk of lymphatic metastasis under recessive model (Adjusted OR = 1.95, 95% CI = 1.20–3.17). Lnc‐RP11‐150O12.3 rs2275959, rs1008547, and rs11776545 with cancer family history may show significant multiplicative and additive interactions on HBV‐related HCC susceptibility (all pAdjusted < .05). The associations of rs2275959, rs1008547, and rs11776545 with distant metastasis of HBV‐related HCC patients were observed in additive model (Adjusted OR = 1.45, 95% CI = 1.06–1.97 for rs2275959; Adjusted OR = 1.45, 95% CI = 1.06–1.98 for rs1008547; Adjusted OR = 1.40, 95% CI = 1.03–1.91 for rs11776545). Conclusion Taken together, lnc‐ACACA‐1 rs9908998, lnc‐RP11‐150O12.3 rs2275959, rs1008547, and rs11776545 might be predictors for HBV‐related HCC risk or prognosis.
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Affiliation(s)
- Qing Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Guiyan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zhifeng Lin
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Ziqiang Lin
- Department of Psychiatry, New York University Langone School of Medicine, New York, NY, USA
| | - NaNa Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xinqi Lin
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jianyi Tan
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Baoying Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiaohui Ji
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Lucheng Pi
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xinfa Yu
- Department of Oncology, Shunde Hospital of Southern Medical University, Foshan, China
| | - Li Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yanhui Gao
- Department of Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
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LncRNA TMPO-AS1 Aggravates the Development of Hepatocellular Carcinoma via miR-429/GOT1 Axis. Am J Med Sci 2020; 360:711-720. [DOI: 10.1016/j.amjms.2020.08.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 06/05/2020] [Accepted: 08/07/2020] [Indexed: 02/07/2023]
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30
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Niu Y, Xie C, Du Z, Zeng J, Chen H, Jin L, Zhang Q, Yu H, Wang Y, Ping J, Yang C, Liu X, Li Y, Zhou G. Genome-wide association study identifies 7q11.22 and 7q36.3 associated with noise-induced hearing loss among Chinese population. J Cell Mol Med 2020; 25:411-420. [PMID: 33242228 PMCID: PMC7810922 DOI: 10.1111/jcmm.16094] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/02/2020] [Accepted: 10/28/2020] [Indexed: 12/25/2022] Open
Abstract
Noise-induced hearing loss (NIHL) seriously affects the life quality of humans and causes huge economic losses to society. To identify novel genetic loci involved in NIHL, we conducted a genome-wide association study (GWAS) for this symptom in Chinese populations. GWAS scan was performed in 89 NIHL subjects (cases) and 209 subjects with normal hearing who have been exposed to a similar noise environment (controls), followed by a replication study consisting of 53 cases and 360 controls. We identified that four candidate pathways were nominally significantly associated with NIHL, including the Erbb, Wnt, hedgehog and intraflagellar transport pathways. In addition, two novel index single-nucleotide polymorphisms, rs35075890 in the intron of AUTS2 gene at 7q11.22 (combined P = 1.3 × 10-6 ) and rs10081191 in the intron of PTPRN2 gene at 7q36.3 (combined P = 2.1 × 10-6 ), were significantly associated with NIHL. Furthermore, the expression quantitative trait loci analyses revealed that in brain tissues, the genotypes of rs35075890 are significantly associated with the expression levels of AUTS2, and the genotypes of rs10081191 are significantly associated with the expressions of PTPRN2 and WDR60. In conclusion, our findings highlight two novel loci at 7q11.22 and 7q36.3 conferring susceptibility to NIHL.
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Affiliation(s)
- Yuguang Niu
- Department of Otolaryngology, the First Medical Center of PLA General Hospital, Beijing, China
| | - Chengyong Xie
- Medical College of Guizhou University, Guiyang city, China
| | - Zhenhua Du
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China
| | - Jifeng Zeng
- Department of Otolaryngology, the No. 954 Hospital of PLA, Shannan City, China
| | - Hongxia Chen
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China
| | - Liang Jin
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China
| | - Qing Zhang
- Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, China
| | - Huiying Yu
- Outpatient Department, the Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Yahui Wang
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China
| | - Jie Ping
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China
| | - Chenning Yang
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China
| | - Xinyi Liu
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China
| | - Yuanfeng Li
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China
| | - Gangqiao Zhou
- Medical College of Guizhou University, Guiyang city, China.,State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China.,Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, China
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31
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Qiu M, Liu Y, Lin Q, Zhou Z, Jiang Y, Huo R, Liang X, Yu X, Cao J, Zhou X, Yu H. A miR-182 variant and risk of hepatocellular carcinoma in a southern Chinese population. Hum Genomics 2020; 14:38. [PMID: 33059751 PMCID: PMC7559205 DOI: 10.1186/s40246-020-00289-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 10/06/2020] [Indexed: 12/24/2022] Open
Abstract
MicroRNAs (miRNAs) play important roles in the regulation of gene expression at the posttranscriptional level and are involved in human carcinogenesis. The aim of the current study was to investigate the associations between miR-182 single nucleotide polymorphisms and HCC risk in a southern Chinese population. In this case-control study of 863 HCC patients and 908 cancer-free controls, we performed genotyping of miR-182 rs4541843 and assessed its association with HCC risk. We found that individuals carrying the AG/AA genotypes of miR-182 rs4541843 were significantly associated with an increased risk of HCC compared with those carrying the GG genotype (adjusted odds ratio (OR) = 1.71, 95% confidence interval (CI) = 1.07–2.76, P = 0.026). In the stratified analysis, this increased risk was more pronounced in the subgroups of older individuals (adjusted OR = 1.98, 95% CI = 1.04–3.76, P = 0.037), males (adjusted OR = 1.81, 95% CI = 1.09–2.99, P = 0.021), and never drinkers (adjusted OR = 1.84, 95% CI = 1.03–3.30, P = 0.041). Our results suggested that miR-182 polymorphism rs4541843 may contribute to the susceptibility to HCC. Our findings require validation in further studies with larger sample sizes.
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Affiliation(s)
- Moqin Qiu
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China.,School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yingchun Liu
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China.,Guangxi Cancer Molecular Medical Engineering Research Center, Nanning, 530021, China
| | - Qiuling Lin
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China.,School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Zihan Zhou
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China.,School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yanji Jiang
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China.,School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Rongrui Huo
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Xiumei Liang
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Xiangyuan Yu
- Affiliated Hospital of Guilin Medical University, Guilin, 541004, China.,School of Public Health, Guilin Medical University, Guilin, 541004, China
| | - Ji Cao
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Xianguo Zhou
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China. .,Guangxi Cancer Molecular Medical Engineering Research Center, Nanning, 530021, China.
| | - Hongping Yu
- Guangxi Medical University Cancer Hospital, Nanning, 530021, China. .,School of Public Health, Guangxi Medical University, Nanning, 530021, China. .,Guangxi Cancer Molecular Medical Engineering Research Center, Nanning, 530021, China.
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You D, Qin N, Zhang M, Dai J, Du M, Wei Y, Zhang R, Hu Z, Christiani DC, Zhao Y, Chen F. Identification of genetic features associated with fine particulate matter (PM2.5) modulated DNA damage using improved random forest analysis. Gene 2020; 740:144570. [PMID: 32165298 DOI: 10.1016/j.gene.2020.144570] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 03/04/2020] [Accepted: 03/09/2020] [Indexed: 12/21/2022]
Abstract
Recent studies have found multiple single nucleotide variants (SNVs) associated with DNA damage. However, previous association analysis may ignore the potential interaction effects between SNVs. Therefore, we used an improved random forest (RF) analysis to identify the SNVs related to personal DNA damage in exon-focused genome-wide association study (GWAS). A total of 301 subjects from three independent centers (Zhuhai, Wuhan, and Tianjin) were retained for analysis. An improved RF procedure was used to systematically screen key SNVs associated with DNA damage. Furthermore, we used genetic risk score (GRS) and mediation analysis to investigate the integrative effect and potential mechanism of these genetic variants on DNA damage. Besides, gene set enrichment analysis was conducted to identify the pathways enriched by key SNVs using the Data-driven Expression Prioritized Integration for Complex Traits (DEPICT). Finally, a set of 24 SNVs with the lowest mean square errors (MSE) were identified by improved RF analysis. Both weighted and unweighted GRSs were associated with increased DNA damage levels (Pweight < 0.001 and Punweight < 0.001). Gene set enrichment analysis indicated that these loci were significantly enriched in several biological features associated with DNA damage. These findings suggested the role of SNVs in modifying DNA damage levels. It may be convincing that this improved RF analysis can effectively identify SNVs associated with DNA damage levels.
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Affiliation(s)
- Dongfang You
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
| | - Na Qin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Mingzhi Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Juncheng Dai
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, 211166 Nanjing, China
| | - Mulong Du
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, 211166 Nanjing, China
| | - Yongyue Wei
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
| | - Ruyang Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, 211166 Nanjing, China; State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, 211166 Nanjing, China; Key Laboratory of Biomedical Big Data of Nanjing Medical University, Nanjing 211166, China.
| | - Feng Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China.
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33
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Huang XY, Zhang PF, Wei CY, Peng R, Lu JC, Gao C, Cai JB, Yang X, Fan J, Ke AW, Zhou J, Shi GM. Circular RNA circMET drives immunosuppression and anti-PD1 therapy resistance in hepatocellular carcinoma via the miR-30-5p/snail/DPP4 axis. Mol Cancer 2020; 19:92. [PMID: 32430013 PMCID: PMC7236145 DOI: 10.1186/s12943-020-01213-6] [Citation(s) in RCA: 143] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 05/07/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Amplification of chromosome 7q21-7q31 is associated with tumor recurrence and multidrug resistance, and several genes in this region are powerful drivers of hepatocellular carcinoma (HCC). We aimed to investigate the key circular RNAs (circRNAs) in this region that regulate the initiation and development of HCC. METHODS We used qRT-PCR to assess the expression of 43 putative circRNAs in this chromosomal region in human HCC and matched nontumor tissues. In addition, we used cultured HCC cells to modify circRNA expression and assessed the effects in several cell-based assays as well as gene expression analyses via RNA-seq. Modified cells were implanted into immunocompetent mice to assess the effects on tumor development. We performed additional experiments to determine the mechanism of action of these effects. RESULTS circMET (hsa_circ_0082002) was overexpressed in HCC tumors, and circMET expression was associated with survival and recurrence in HCC patients. By modifying the expression of circMET in HCC cells in vitro, we found that circMET overexpression promoted HCC development by inducing an epithelial to mesenchymal transition and enhancing the immunosuppressive tumor microenvironment. Mechanistically, circMET induced this microenvironment through the miR-30-5p/Snail/ dipeptidyl peptidase 4(DPP4)/CXCL10 axis. In addition, the combination of the DPP4 inhibitor sitagliptin and anti-PD1 antibody improved antitumor immunity in immunocompetent mice. Clinically, HCC tissues from diabetic patients receiving sitagliptin showed higher CD8+ T cell infiltration than those from HCC patients with diabetes without sitagliptin treatment. CONCLUSIONS circMET is an onco-circRNA that induces HCC development and immune tolerance via the Snail/DPP4/CXCL10 axis. Furthermore, sitagliptin may enhance the efficacy of anti-PD1 therapy in a subgroup of patients with HCC.
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MESH Headings
- Animals
- Apoptosis
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Carcinoma, Hepatocellular/drug therapy
- Carcinoma, Hepatocellular/genetics
- Carcinoma, Hepatocellular/immunology
- Carcinoma, Hepatocellular/pathology
- Cell Movement
- Cell Proliferation
- Dipeptidyl Peptidase 4/genetics
- Dipeptidyl Peptidase 4/metabolism
- Drug Resistance, Neoplasm
- Female
- Gene Expression Regulation, Neoplastic
- Humans
- Immune Checkpoint Inhibitors/pharmacology
- Liver Neoplasms/drug therapy
- Liver Neoplasms/genetics
- Liver Neoplasms/immunology
- Liver Neoplasms/pathology
- Male
- Mice
- Mice, Inbred C57BL
- MicroRNAs/genetics
- Middle Aged
- Neoplasm Invasiveness
- Prognosis
- Programmed Cell Death 1 Receptor/antagonists & inhibitors
- Proto-Oncogene Proteins c-met/genetics
- RNA, Circular/genetics
- Snail Family Transcription Factors/genetics
- Snail Family Transcription Factors/metabolism
- Survival Rate
- Tumor Cells, Cultured
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Xiao-Yong Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
| | - Peng-Fei Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
| | - Chuan-Yuan Wei
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
| | - Rui Peng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
| | - Jia-Cheng Lu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
| | - Chao Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
| | - Jia-Bing Cai
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
| | - Xuan Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
- Cancer Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200031, P.R. China
| | - Ai-Wu Ke
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China.
- Cancer Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200031, P.R. China.
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China.
- Cancer Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200031, P.R. China.
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Guo-Ming Shi
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China.
- Cancer Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200031, P.R. China.
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Shen S, Dean DC, Yu Z, Duan Z. Role of cyclin-dependent kinases (CDKs) in hepatocellular carcinoma: Therapeutic potential of targeting the CDK signaling pathway. Hepatol Res 2019; 49:1097-1108. [PMID: 31009153 DOI: 10.1111/hepr.13353] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 02/23/2019] [Accepted: 03/28/2019] [Indexed: 12/12/2022]
Abstract
Liver cancer is the fourth leading cause of cancer related mortality in the world, with hepatocellular carcinoma (HCC) representing the most common primary subtype. Two-thirds of HCC patients have advanced disease when diagnosed, and for these patients, treatment strategies remain limited. In addition, there is a high incidence of tumor recurrence after surgical resection with the current treatment regimens. The development of novel and more effective agents is required. Cyclin-dependent kinases (CDKs) constitute a family of 21 different protein kinases involved in regulating cell proliferation, apoptosis, and drug resistance, and are evaluated in preclinical and clinical trials as chemotherapeutics. To summarize and discuss the therapeutic potential of targeting CDKs in HCC, recent published articles identified from PubMed were comprehensively reviewed. The key words included hepatocellular carcinoma, cyclin-dependent kinases, and CDK inhibitors. This review focuses on the emerging evidence from studies describing the genetic and functional aspects of CDKs in HCC. We also present an overview of CDK inhibitors that have shown efficacy in laboratory studies of HCC. Although many of the studies assessing CDK-targeting therapies in HCC are at the preclinical stage, there is significant evidence that CDK inhibitors used alone or in combination with established chemotherapy drugs could have significant applications in HCC.
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Affiliation(s)
- Shen Shen
- Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Sarcoma Biology Laboratory, Department of Orthopedic Surgery, David Geffen School of Medicine at University of Los Angeles, Los Angeles, CA, USA
| | - Dylan C Dean
- Sarcoma Biology Laboratory, Department of Orthopedic Surgery, David Geffen School of Medicine at University of Los Angeles, Los Angeles, CA, USA
| | - Zujiang Yu
- Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhenfeng Duan
- Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Sarcoma Biology Laboratory, Department of Orthopedic Surgery, David Geffen School of Medicine at University of Los Angeles, Los Angeles, CA, USA
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Meng L, Zhou Y, Ju S, Han J, Song C, Kong J, Wu Y, Lu S, Xu J, Yuan W, Zhang E, Wang C, Hu Z, Gu Y, Luo R, Wang X. A cis-eQTL genetic variant in PLK4 confers high risk of hepatocellular carcinoma. Cancer Med 2019; 8:6476-6484. [PMID: 31489978 PMCID: PMC6797585 DOI: 10.1002/cam4.2487] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 07/23/2019] [Accepted: 07/30/2019] [Indexed: 12/24/2022] Open
Abstract
Purpose The overexpression and knockdown of PLK4 were both reported to generate aneuploidy. Thus, we aimed to investigate whether genetic variants in PLK4 contribute to the development of hepatocellular carcinoma (HCC). Methods We evaluated associations of common variants in PLK4 and its promoter for the risk of HCC in our association study (1300 cases and 1344 controls). The genotype‐tissue expression (GTEx) and The cancer genome atlas (TCGA) databases were used to quantify the expression of PLK4. Cell proliferation and migration affected by PLK4 in HCC were assessed in vitro. Drug susceptibility testing (DST) model was used to assess the sensibility of PLK4‐activated HCC to CFI‐400945, a small molecule inhibitor of PLK4. Results Herein, we found a significant association between rs3811741, located in the PLK4 intron, and liver cancer risk (OR = 1.26, P = 9.81 × 10−5). Although PLK4 expressed at lower levels in somatic tissues compared to the testis, the risk allele A of rs3811741 was associated with increased PLK4 expression in liver cancer tissues. Additionally, PLK4 high expression was remarkably associated with shortened survival of HCC (HR = 1.97, P = .001). Furthermore, overexpression of PLK4 promoted, while knockdown of PLK4 suppressed cancer cell proliferation, migration, and invasion. DST model demonstrated that CFI‐400945 can effectively suppress rampant proliferation of HCC with highly expressed PLK4. Conclusion Taken together, our study demonstrated that PLK4 is a susceptibility gene and plays an oncogenic role in HCC. Furthermore, we identified that PLK4 sensitives HCC to CFI‐400945, which may be an ideal therapy target for HCC.
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Affiliation(s)
- Lijuan Meng
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Yan Zhou
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Sihan Ju
- Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Jing Han
- Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Ci Song
- Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Jing Kong
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Yifei Wu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Shuai Lu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Jiani Xu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Wenwen Yuan
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Erbao Zhang
- Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Bioinformatics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Yayun Gu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Rongcheng Luo
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Xuehao Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Liver Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
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Wei J, Sheng Y, Li J, Gao X, Ren N, Dong Q, Qin L. Genome-Wide Association Study Identifies a Genetic Prediction Model for Postoperative Survival in Patients with Hepatocellular Carcinoma. Med Sci Monit 2019; 25:2452-2478. [PMID: 30945699 PMCID: PMC6461006 DOI: 10.12659/msm.915511] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background As an important aspect of tumor heterogeneity, genetic variation may influence susceptibility and prognosis in different types of cancer. By exploring the prognostic value of genetic variation, this study aimed to establish a model for predicting postoperative survival and assessing the impact of variation on clinical outcomes in patients with hepatocellular carcinoma (HCC). Material/Methods A genome-wide association study of 367 patients with HCC was conducted to identify single nucleotide polymorphisms (SNPs) associated with prognosis. Identified predictors were further evaluated in 758 patients. Two prognostic models were established using Cox proportional hazards regression and Nomogram strategy, and validated in another 316 patients. The effect of the SNP rs2431 was analyzed in detail. Results A prognostic model including 5 SNPs (rs10893585, rs2431, rs34675408, rs6078460, and rs6766361) was established and exhibited high predictive accuracy for HCC prognosis. The panel combined with tumor node metastasis (TNM) stage resulted in a significantly higher c-index (0.723) than the individual c-index values. Stratified by the Nomogram prediction model, the median overall survival for the low-risk and high-risk groups were 100.1 versus 30.8 months (P<0.001) in the training set and 82.2 versus 22.5 months (P<0.001) in the validation set. A closer examination of rs2431 revealed that it may regulate the expression of FNDC3B by disrupting a microRNA-binding site. Conclusions This study established prediction models based on genetic factors alone or in combination with TNM stage for postoperative survival in patients with HCC, and identified FNDC3B as a potential therapeutic target for combating HCC metastasis.
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Affiliation(s)
- Jinwang Wei
- Department of General Surgery, Huashan Hospital; Cancer Metastasis Institute; Institutes of Biomedical Sciences, Fudan University, Shanghai, China (mainland)
| | - Yuanyuan Sheng
- Department of General Surgery, Huashan Hospital; Cancer Metastasis Institute; Institutes of Biomedical Sciences, Fudan University, Shanghai, China (mainland)
| | - Jianhua Li
- Department of General Surgery, Huashan Hospital; Cancer Metastasis Institute; Institutes of Biomedical Sciences, Fudan University, Shanghai, China (mainland)
| | - Xiaomei Gao
- Department of General Surgery, Huashan Hospital; Cancer Metastasis Institute; Institutes of Biomedical Sciences, Fudan University, Shanghai, China (mainland)
| | - Ning Ren
- Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China (mainland)
| | - Qiongzhu Dong
- Department of General Surgery, Huashan Hospital; Cancer Metastasis Institute; Institutes of Biomedical Sciences, Fudan University, Shanghai, China (mainland)
| | - Lunxiu Qin
- Department of General Surgery, Huashan Hospital; Cancer Metastasis Institute; Institutes of Biomedical Sciences, Fudan University, Shanghai, China (mainland)
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37
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Chen Y, Zhao ZX, Huang F, Yuan XW, Deng L, Tang D. MicroRNA-1271 functions as a potential tumor suppressor in hepatitis B virus-associated hepatocellular carcinoma through the AMPK signaling pathway by binding to CCNA1. J Cell Physiol 2019; 234:3555-3569. [PMID: 30565670 DOI: 10.1002/jcp.26955] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 06/13/2018] [Indexed: 12/23/2022]
Abstract
Hepatocellular carcinoma (HCC) is mainly associated with hepatitis B virus (HBV) infection and characterized by metastasizing and infiltrating adjacent and distant tissues. Notably, microRNA-1271 (miR-1271) is a tumor suppressor in various cancers. Therefore, we evaluate the ability of miR-1271 to influence cell proliferation, migration, invasion, and apoptosis in HBV-associated HCC through the Adenosine monophosphate-activated protein kinase (AMPK) signaling pathway via targeting CCNA1. HBV-associated HCC and adjacent normal tissues were collected to identify the expression of miR-1271 and CCNA1. To verify the relationship between miR-1271 and CCNA1, we used bioinformatics prediction and the dual-luciferase reporter gene assay. The effects of miR-1271 on HBV-associated HCC cell behaviors were investigated by treatment of the miR-1271 mimic, the miR-1271 inhibitor, or small interfering RNA against CCNA1. The HBV-DNA quantitative assay, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromid assay, scratch test, transwell assay, and flow cytometry were used to detect HBV-DNA replication, cell proliferation, invasion, migration, and apoptosis. MiR-1271 showed a low expression, whereas CCNA1 showed a high expression in HBV-associated HCC tissues. We identified that miR-1271 targeted and negatively regulated CCNA1. Upregulated miR-1271 and downregulated CCNA1 inhibited the HBV-associated HCC cell HBV-DNA replication, proliferation, migration, and invasion, while accelerating apoptosis by activating the AMPK signaling pathway. MiR-1271 promotes the activation of the AMPK signaling pathway by binding to CCNA1, whereby miR-1271 suppresses HBV-associated HCC progression. This study points to a potential therapeutic approach of downregulation of miR-1271 in HBV-associated HCC treatment.
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Affiliation(s)
- Yang Chen
- Department of General Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Zhen-Xian Zhao
- Department of Hepatobiliary Surgery, The Eastern Hospital of The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Fei Huang
- Department of General Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Xiao-Wei Yuan
- Department of General Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Liang Deng
- Department of General Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Di Tang
- Department of General Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
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Wang M, Liu X, Lin S, Tian T, Guan F, Guo Y, Li X, Deng Y, Zheng Y, Xu P, Hao Q, Zhai Z, Dai Z. FABP1 Polymorphisms Contribute to Hepatocellular Carcinoma Susceptibility in Chinese Population with Liver Cirrhosis: A Case-Control Study. J Cancer 2018; 9:4294-4300. [PMID: 30519332 PMCID: PMC6277622 DOI: 10.7150/jca.27301] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 08/26/2018] [Indexed: 12/20/2022] Open
Abstract
Purpose: Single nucleotide variations in the liver fatty acid binding protein (L-FABP, FABP1) gene lead to changes in cellular signaling pathways and lipid metabolism. FABP1 polymorphisms were associated with some liver diseases, like steatotic hepatocellular carcinoma. However, the association between FABP1 rs1545224 and rs2241883 polymorphisms and hepatitis B virus-related liver cirrhosis (LC) and hepatocellular carcinoma (HCC) has not been reported. We performed this study to explore their relationship. Methods: One thousand individuals (250 healthy controls, 250 chronic HBV (CHB), 250 LC, and 250 HCC patients) were recruited. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were applied to assess the difference in allele and genotype frequencies. Cochran-Armitage trend test was used to evaluate the cumulative effect. Significant difference would be defined when the P value was less than 0.05. Results: The distribution of rs1545224 GG, AG and AA genotypes in healthy controls or CHB carriers was not significant when compared to LC or HCC patients (P>0.05). LC patients carrying at least one A allele are more likely to develop HCC in contrast with those with G allele (P<0.05). After adjustment for confounders, meaningful results were only seen in the comparison between rs1545224 AG+AA genotype carriers and GG genotype carriers among the LC patients (P<0.05). Rs2241883 polymorphism did not influence the risk of developing LC or HCC in healthy and CHB individuals, nor did it influence the risk of HCC in LC patients (P>0.05). Conclusions: Taken together, FABP1 rs1545224 polymorphism might increase HCC risk in LC patients, indicating that FABP1 rs1545224 polymorphism may be related to the process of developing HCC in Chinese patients with LC.
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Affiliation(s)
- Meng Wang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Xinghan Liu
- School of Life Sciences, Nanjing University, Nanjing 210046, China
| | - Shuai Lin
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Tian Tian
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Feng Guan
- School of Life Sciences, Northwest University, Xi'an 710069, China
| | - Yan Guo
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Xiao Li
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Yujiao Deng
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Yi Zheng
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Peng Xu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Qian Hao
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Zhen Zhai
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Zhijun Dai
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
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TNIP1 Polymorphisms with the Risk of Hepatocellular Carcinoma Based on Chronic Hepatitis B Infection in Chinese Han Population. Biochem Genet 2018; 57:117-128. [PMID: 30073579 DOI: 10.1007/s10528-018-9882-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Accepted: 07/24/2018] [Indexed: 02/07/2023]
Abstract
Chronic hepatitis B virus (HBV) infection is an important etiology for the development of hepatocellular carcinoma (HCC). Tumor necrosis factor-α-induced protein 3-interacting protein 1 (TNIP1) is linked to specific inflammatory diseases as a novel type of endogenous inflammatory regulator. However, presently, rare information is found about the association between TNIP1 polymorphisms and HBV-induced HCC risk. In this case control study, we genotyped four single nucleotide polymorphisms (SNPs) in TNIP1 gene in 248 HCC patients and 242 chronic HBV carriers using Sequenom Mass-ARRAY technology. Genetic model and haplotype analysis were performed to evaluate the association between candidate SNPs polymorphisms and HBV-induced HCC susceptibility using Pearson's χ2 test and unconditional logistic regression analysis. Overall, we found two risk alleles in TNIP1 for HBV-induced HCC in patients: the allele "G" of rs7708392 by genotype model ("G/C" vs. "C/C": OR 1.88, 95% CI 1.17-3, P = 0.009) and dominant model ("G/C-G/G" vs. "C/C": OR 1.69, 95% CI 1.08-2.65, P = 0.023), and the allele "C" of rs10036748 by genotype model ("C/T" vs. "T/T": OR 1.83, 95% CI 1.14-2.92, P = 0.012) and dominant model ("C/T-C/C" vs. "T/T": OR 1.65, 95% CI 1.05-2.59, P = 0.03). However, rs3792792 and rs4958881 polymorphisms didn't significantly correlate with the risk of HBV-induced HCC. Haplotype analysis showed no significant association between haplotypes and the HCC risk in HBV carriers. This study provides evidence for HBV-induced HCC susceptibility gene TNIP1 in the Chinese Han population.
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Cao P, Yang A, Wang R, Xia X, Zhai Y, Li Y, Yang F, Cui Y, Xie W, Liu Y, Liu T, Jia W, Jiang Z, Li Z, Han Y, Gao C, Song Q, Xie B, Zhang L, Zhang H, Zhang J, Shen X, Yuan Y, Yu F, Wang Y, Xu J, Ma Y, Mo Z, Yu W, He F, Zhou G. Germline Duplication of SNORA18L5 Increases Risk for HBV-related Hepatocellular Carcinoma by Altering Localization of Ribosomal Proteins and Decreasing Levels of p53. Gastroenterology 2018; 155:542-556. [PMID: 29702115 DOI: 10.1053/j.gastro.2018.04.020] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 04/16/2018] [Accepted: 04/19/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND & AIMS Single nucleotide polymorphisms could affect risk for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). We performed a germline copy number variation (CNV)-based genome-wide association study (GWAS) in populations of Chinese ancestry to search for germline CNVs that increase risk of HCC. METHODS We conducted a CNV-based GWAS of 1583 HCC cases (persons with chronic HBV infection and HCC) and 1540 controls (persons with chronic HBV infection without HCC) in Chinese populations. Identified candidates were expressed in L-02, HepG2, or TP53-/- or wild-type HCT116 cells, and knocked down with short hairpin RNAs in HepG2, Bel-7402, and SMMC-7721 cells; proliferation, colony formation, and apoptosis were measured. Formation of xenograft tumors from cell lines was monitored in nude mice. Subcellular localization of ribosome proteins and levels or activity of p53 were investigated by co-immunoprecipitation, immunofluorescence, and immunoblot analyses. Levels of small nucleolar RNA H/ACA box 18-like 5 (SNORA18L5) were quantified by quantitative reverse transcription polymerase chain reaction. RESULTS We identified a low-frequency duplication at chromosome 15q13.3 strongly associated with risk of HBV-related HCC (overall P = 3.17 × 10-8; odds ratio, 12.02). Copy numbers of the 15q13.3 duplication correlated with the expression of SNORA18L5 in liver tissues. Overexpression of SNORA18L5 increased HCC cell proliferation and growth of xenograft tumors in mice; knockdown reduced HCC proliferation and tumor growth. SNORA18L5 overexpression in HepG2 and SMMC-7721 cells inhibited p53-dependent cell cycle arrest and apoptosis. Overexpression of SNORA18L5 led to hyperactive ribosome biogenesis, increasing levels of mature 18S and 28S ribosomal RNAs and causing the ribosomal proteins RPL5 and RPL11 to stay in the nucleolus, which kept them from binding to MDM2. This resulted in increased MDM2-mediated ubiquitination and degradation of p53. Levels of SNORA18L5 were increased in HCC tissues compared with nontumor liver tissues and associated with shorter survival times of patients. CONCLUSIONS In a CNV-based GWAS, we associated duplication at 15q13.3 with increased risk of HBV-related HCC. We found SNORA18L5 at this location to promote HCC cell proliferation and tumor growth in mice. SNORA18L5 increases ribosome biogenesis, facilitates ribosomal RNA maturation, and alters localization of RPL5 and RPL11, allowing for increased MDM2-mediated proteolysis of p53 and cell cycle arrest.
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Affiliation(s)
- Pengbo Cao
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Aiqing Yang
- School of Life Sciences, Tsinghua University, Beijing, P. R. China
| | - Rui Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China; Clinical Medical Institute of General Hospital of Xinjiang Military Area, PLA, Urumqi, Xinjiang, P. R. China
| | - Xia Xia
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Yun Zhai
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Yuanfeng Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Fei Yang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Ying Cui
- Affiliated Cancer Hospital of Guangxi Medical University, Nanning, Guangxi, P. R. China
| | - Weimin Xie
- Affiliated Cancer Hospital of Guangxi Medical University, Nanning, Guangxi, P. R. China
| | - Ying Liu
- National Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences; School of Basic Medicine, Beijing, P. R. China
| | - Taotao Liu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Weihua Jia
- Department of Experimental Research, Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Zhengwen Jiang
- Center for Genetics and Genomics Analysis, Genesky Biotechnologies Inc., Shanghai, P. R. China
| | - Zhuo Li
- Department of Infectious Diseases, Affiliated Youan Hospital, Capital University of Medical Science, Beijing, P. R. China
| | - Yuqing Han
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Chengming Gao
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Qingfeng Song
- Interventional Radiology Department of Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, P. R. China
| | - Bobo Xie
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Luo Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China
| | - Hongxing Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Jinxu Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China
| | - Xizhong Shen
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Yunfei Yuan
- Department of Experimental Research, Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Feng Yu
- Center for Genetics and Genomics Analysis, Genesky Biotechnologies Inc., Shanghai, P. R. China
| | - Ying Wang
- Center for Genetics and Genomics Analysis, Genesky Biotechnologies Inc., Shanghai, P. R. China
| | - Jing Xu
- Center for Genetics and Genomics Analysis, Genesky Biotechnologies Inc., Shanghai, P. R. China
| | - Yilong Ma
- Interventional Radiology Department of Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, P. R. China
| | - Zengnan Mo
- Department of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, P. R. China
| | - Wuzhong Yu
- Clinical Medical Institute of General Hospital of Xinjiang Military Area, PLA, Urumqi, Xinjiang, P. R. China
| | - Fuchu He
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China; School of Life Sciences, Tsinghua University, Beijing, P. R. China.
| | - Gangqiao Zhou
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P. R. China; National Engineering Research Center for Protein Drugs, Beijing, P. R. China; National Center for Protein Sciences at Beijing, Beijing, P. R. China.
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