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Tălăngescu A, Tizu M, Calenic B, Mihăilescu DF, Constantinescu AE, Constantinescu I. HLA Genetic Diversity and Chronic Hepatitis B Virus Infection: Effect of Heterozygosity Advantage. Med Sci (Basel) 2024; 12:44. [PMID: 39311157 PMCID: PMC11417839 DOI: 10.3390/medsci12030044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 08/20/2024] [Accepted: 08/27/2024] [Indexed: 09/26/2024] Open
Abstract
This research aims to determine whether HLA heterozygosity confers a protective effect against hepatitis B virus infection by analyzing the relationship between HLA diversity and the risk of hepatitis B virus (HBV) infection. A total of 327 hepatitis B patients were selected and categorized based on their clinical status: 284 patients with chronic HBV infection and 43 patients with HBV-related liver cirrhosis (LC). The control group included 304 healthy individuals. HLA genotyping for 11 loci, including HLA class I and class II, was conducted using next-generation sequencing. The results of this study indicate a statistically significant negative correlation between HLA class II heterozygosity and the risk of HBV infection. Specifically, heterozygosity in HLA-DQB1 (OR = 0.49, 95% CI = 0.31-0.76, p = 0.01277) and HLA-DRB1 (OR = 0.42, 95% CI = 0.24-0.77, p = 0.01855) were significantly associated with protection. Subgroup analysis was conducted to explore the effect of HLA diversity among pathological subtypes (chronic hepatitis B and control group, liver cirrhosis and control group). For liver cirrhosis, compared with the control group, a decreased risk of LC was possibly associated with the heterozygosity of HLA class I locus B (OR = 0.24, 95% CI = 0.09-0.65, p = 0.0591), but this hypothesis was not confirmed by other studies. The diversity of HLA, measured by HLA heterozygosity, was associated with a protective effect against HBV infection.
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Affiliation(s)
- Adriana Tălăngescu
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
- Centre of Immunogenetics and Virology, Fundeni Clinical Institute, 258 Fundeni Avenue, 022328 Bucharest, Romania
| | - Maria Tizu
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
- Centre of Immunogenetics and Virology, Fundeni Clinical Institute, 258 Fundeni Avenue, 022328 Bucharest, Romania
| | - Bogdan Calenic
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
| | - Dan Florin Mihăilescu
- Department of Anatomy, Animal Physiology and Biophysics, Faculty of Biology, University of Bucharest, Splaiul Independentei Street, No. 91–95, 050095 Bucharest, Romania;
| | - Alexandra Elena Constantinescu
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
- “Emil Palade” Centre of Excellence for Young People in Scientific Research (EP-CEYR), 3 Ilfov Street, Sector 5, 050045 Bucharest, Romania
| | - Ileana Constantinescu
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
- Centre of Immunogenetics and Virology, Fundeni Clinical Institute, 258 Fundeni Avenue, 022328 Bucharest, Romania
- “Emil Palade” Centre of Excellence for Young People in Scientific Research (EP-CEYR), 3 Ilfov Street, Sector 5, 050045 Bucharest, Romania
- Academy of Romanian Scientists (AOSR), 3 Ilfov Street, Sector 5, 050045 Bucharest, Romania
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Ndou L, Chambuso R, Valley-Omar Z, Rebello G, Algar U, Goldberg P, Boutall A, Ramesar R. Human Leukocyte Antigen-Allelic Variations May Influence the Age at Cancer Diagnosis in Lynch Syndrome. J Pers Med 2024; 14:575. [PMID: 38929796 PMCID: PMC11204704 DOI: 10.3390/jpm14060575] [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: 05/10/2024] [Revised: 05/22/2024] [Accepted: 05/24/2024] [Indexed: 06/28/2024] Open
Abstract
Lynch syndrome (LS) is an inherited cancer predisposition disorder associated with an elevated risk of developing various solid cancers, but mostly colorectal cancer (CRC). Despite having the same germline pathogenic variant (PV) in one of the mis-match repair genes or the EPCAM gene, Lynch syndrome variant heterozygotes (LSVH) exhibit a remarkable phenotypic variability in the risk of developing cancer. The role of human leukocyte antigen (HLA) in modifying cancer development risk prompted our hypothesis into whether HLA variations act as potential genetic modifiers influencing the age at cancer diagnosis in LSVH. To investigate this, we studied a unique cohort of 426 LSVH carrying the same germline PV in the hMLH1 gene (MLH1:c.1528C > T) in South Africa. We intuitively selected 100 LSVH with the greatest diversity in age at cancer diagnosis (N = 80) and the oldest cancer unaffected LSVH (N = 20) for a high-throughput HLA genotyping of 11 HLA class I and class II loci using the shotgun next-generation sequencing (NGS) technique on the Illumina MiSeq platform. Statistical analyses employed Kaplan-Meier survival analyses with log-rank tests, and Cox proportional hazards using binned HLA data to minimize type I error. Significant associations were observed between young age at cancer diagnosis and HLA-DPB1*04:02 (mean age: 37 y (25-50); hazard ratio (HR) = 3.37; corrected p-value (q) = 0.043) as well as HLA-DPB1 binned alleles (including HLA-DPB1*09:01, HLA-DPB1*10:01, HLA-DPB1*106:01, HLA-DPB1*18:01, HLA-DPB1*20:01, HLA-DPB1*26:01, HLA-DPB1*28:01, HLA-DPB1*296:01, and HLA-DPB1*55:01) (mean age: 37 y (17-63); HR = 2.30, q = 0.045). The involvement of HLA-DPB1 alleles in the age at cancer diagnosis may highlight the potential role of HLA class II in the immune response against cancer development in LSVH. When validated in a larger cohort, these high-risk HLA-DPB1 alleles could be factored into cancer risk prediction models for personalized cancer screening in LSVH.
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Affiliation(s)
- Lutricia Ndou
- UCT/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, The University of Cape Town, Affiliated Hospitals, Cape Town 7704, South Africa
| | - Ramadhani Chambuso
- UCT/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, The University of Cape Town, Affiliated Hospitals, Cape Town 7704, South Africa
| | - Ziyaad Valley-Omar
- Medical Virology, National Health Laboratory Service, Groote Schuur Hospital, The University of Cape Town, Cape Town 7925, South Africa
| | - George Rebello
- UCT/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, The University of Cape Town, Affiliated Hospitals, Cape Town 7704, South Africa
| | - Ursula Algar
- The Colorectal Unit of the Department of Surgery, Groote Schuur Hospital, The University of Cape Town, Cape Town 7925, South Africa
| | - Paul Goldberg
- The Colorectal Unit of the Department of Surgery, Groote Schuur Hospital, The University of Cape Town, Cape Town 7925, South Africa
| | - Adam Boutall
- The Colorectal Unit of the Department of Surgery, Groote Schuur Hospital, The University of Cape Town, Cape Town 7925, South Africa
| | - Raj Ramesar
- UCT/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, The University of Cape Town, Affiliated Hospitals, Cape Town 7704, South Africa
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Bonfiglio F, Lasorsa VA, Aievola V, Cantalupo S, Morini M, Ardito M, Conte M, Fragola M, Eva A, Corrias MV, Iolascon A, Capasso M. Exploring the role of HLA variants in neuroblastoma susceptibility through whole exome sequencing. HLA 2024; 103:e15515. [PMID: 38747019 DOI: 10.1111/tan.15515] [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: 01/15/2024] [Revised: 04/18/2024] [Accepted: 04/25/2024] [Indexed: 10/24/2024]
Abstract
Although a number of susceptibility loci for neuroblastoma (NB) have been identified by genome-wide association studies, it is still unclear whether variants in the HLA region contribute to NB susceptibility. In this study, we conducted a comprehensive genetic analysis of variants in the HLA region among 724 NB patients and 2863 matched controls from different cohorts. We exploited whole-exome sequencing data to accurately type HLA alleles with an ensemble approach on the results from three different typing tools, and carried out rigorous sample quality control to ensure a fine-scale ancestry matching. The frequencies of common HLA alleles were compared between cases and controls by logistic regression under additive and non-additive models. Population stratification was taken into account adjusting for ancestry-informative principal components. We detected significant HLA associations with NB. In particular, HLA-DQB1*05:02 (OR = 1.61; padj = 5.4 × 10-3) and HLA-DRB1*16:01 (OR = 1.60; padj = 2.3 × 10-2) alleles were associated to higher risk of developing NB. Conditional analysis highlighted the HLA-DQB1*05:02 allele and its residue Ser57 as key to this association. DQB1*05:02 allele was not associated to clinical features worse outcomes in the NB cohort. Nevertheless, a risk score derived from the allelic combinations of five HLA variants showed a substantial predictive value for patient survival (HR = 1.53; p = 0.032) that was independent from established NB prognostic factors. Our study leveraged powerful computational methods to explore WES data and HLA variants and to reveal complex genetic associations. Further studies are needed to validate the mechanisms of these interactions that contribute to the multifaceted pattern of factors underlying the disease initiation and progression.
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Affiliation(s)
- Ferdinando Bonfiglio
- Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy
- CEINGE Biotecnologie Avanzate s.c.a r.l., Naples, Italy
| | | | - Vincenzo Aievola
- Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy
- CEINGE Biotecnologie Avanzate s.c.a r.l., Naples, Italy
| | - Sueva Cantalupo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy
- CEINGE Biotecnologie Avanzate s.c.a r.l., Naples, Italy
| | - Martina Morini
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Martina Ardito
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Massimo Conte
- U.O.C. Oncologia Pediatrica, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Martina Fragola
- Servizio di Epidemiologia e Biostatistica, Direzione Scientifica, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Alessandra Eva
- Direzione Scientifica, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Maria Valeria Corrias
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Achille Iolascon
- Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy
- CEINGE Biotecnologie Avanzate s.c.a r.l., Naples, Italy
| | - Mario Capasso
- Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy
- CEINGE Biotecnologie Avanzate s.c.a r.l., Naples, Italy
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Lim WC, Marques Da Costa ME, Godefroy K, Jacquet E, Gragert L, Rondof W, Marchais A, Nhiri N, Dalfovo D, Viard M, Labaied N, Khan AM, Dessen P, Romanel A, Pasqualini C, Schleiermacher G, Carrington M, Zitvogel L, Scoazec JY, Geoerger B, Salmon J. Divergent HLA variations and heterogeneous expression but recurrent HLA loss-of- heterozygosity and common HLA-B and TAP transcriptional silencing across advanced pediatric solid cancers. Front Immunol 2024; 14:1265469. [PMID: 38318504 PMCID: PMC10839790 DOI: 10.3389/fimmu.2023.1265469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 11/06/2023] [Indexed: 02/07/2024] Open
Abstract
The human leukocyte antigen (HLA) system is a major factor controlling cancer immunosurveillance and response to immunotherapy, yet its status in pediatric cancers remains fragmentary. We determined high-confidence HLA genotypes in 576 children, adolescents and young adults with recurrent/refractory solid tumors from the MOSCATO-01 and MAPPYACTS trials, using normal and tumor whole exome and RNA sequencing data and benchmarked algorithms. There was no evidence for narrowed HLA allelic diversity but discordant homozygosity and allele frequencies across tumor types and subtypes, such as in embryonal and alveolar rhabdomyosarcoma, neuroblastoma MYCN and 11q subtypes, and high-grade glioma, and several alleles may represent protective or susceptibility factors to specific pediatric solid cancers. There was a paucity of somatic mutations in HLA and antigen processing and presentation (APP) genes in most tumors, except in cases with mismatch repair deficiency or genetic instability. The prevalence of loss-of-heterozygosity (LOH) ranged from 5.9 to 7.7% in HLA class I and 8.0 to 16.7% in HLA class II genes, but was widely increased in osteosarcoma and glioblastoma (~15-25%), and for DRB1-DQA1-DQB1 in Ewing sarcoma (~23-28%) and low-grade glioma (~33-50%). HLA class I and HLA-DR antigen expression was assessed in 194 tumors and 44 patient-derived xenografts (PDXs) by immunochemistry, and class I and APP transcript levels quantified in PDXs by RT-qPCR. We confirmed that HLA class I antigen expression is heterogeneous in advanced pediatric solid tumors, with class I loss commonly associated with the transcriptional downregulation of HLA-B and transporter associated with antigen processing (TAP) genes, whereas class II antigen expression is scarce on tumor cells and occurs on immune infiltrating cells. Patients with tumors expressing sufficient HLA class I and TAP levels such as some glioma, osteosarcoma, Ewing sarcoma and non-rhabdomyosarcoma soft-tissue sarcoma cases may more likely benefit from T cell-based approaches, whereas strategies to upregulate HLA expression, to expand the immunopeptidome, and to target TAP-independent epitopes or possibly LOH might provide novel therapeutic opportunities in others. The consequences of HLA class II expression by immune cells remain to be established. Immunogenetic profiling should be implemented in routine to inform immunotherapy trials for precision medicine of pediatric cancers.
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Affiliation(s)
- Wan Ching Lim
- INSERM U1015, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
- Bioinformatics Platform, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
- School of Data Sciences, Perdana University, Kuala Lumpur, Malaysia
| | | | - Karine Godefroy
- Department of Pathology and Laboratory Medicine, Translational Research Laboratory and Biobank, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Eric Jacquet
- Institut de Chimie des Substances Naturelles, CNRS UPR2301, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Loren Gragert
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA, United States
| | - Windy Rondof
- INSERM U1015, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
- Bioinformatics Platform, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Antonin Marchais
- INSERM U1015, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
- Bioinformatics Platform, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Naima Nhiri
- Institut de Chimie des Substances Naturelles, CNRS UPR2301, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Davide Dalfovo
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Mathias Viard
- Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, United States
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, United States
| | - Nizar Labaied
- Department of Pathology and Laboratory Medicine, Translational Research Laboratory and Biobank, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Asif M. Khan
- School of Data Sciences, Perdana University, Kuala Lumpur, Malaysia
| | - Philippe Dessen
- Bioinformatics Platform, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Alessandro Romanel
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Claudia Pasqualini
- INSERM U1015, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Gudrun Schleiermacher
- INSERM U830, Recherche Translationnelle en Oncologie Pédiatrique (RTOP), and SIREDO Oncology Center (Care, Innovation and Research for Children and AYA with Cancer), PSL Research University, Institut Curie, Paris, France
| | - Mary Carrington
- Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, United States
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, United States
- Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA, United States
| | - Laurence Zitvogel
- INSERM U1015, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Jean-Yves Scoazec
- Department of Pathology and Laboratory Medicine, Translational Research Laboratory and Biobank, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Birgit Geoerger
- INSERM U1015, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Jerome Salmon
- INSERM U1015, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
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Tsai YY, Qu C, Bonner JD, Sanz-Pamplona R, Lindsey SS, Melas M, McDonnell KJ, Idos GE, Walker CP, Tsang KK, Da Silva DM, Moratalla-Navarro F, Maoz A, Rennert HS, Kast WM, Greenson JK, Moreno V, Rennert G, Gruber SB, Schmit SL. Heterozygote advantage at HLA class I and II loci and reduced risk of colorectal cancer. Front Immunol 2023; 14:1268117. [PMID: 37942321 PMCID: PMC10627840 DOI: 10.3389/fimmu.2023.1268117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/10/2023] [Indexed: 11/10/2023] Open
Abstract
Objective Reduced diversity at Human Leukocyte Antigen (HLA) loci may adversely affect the host's ability to recognize tumor neoantigens and subsequently increase disease burden. We hypothesized that increased heterozygosity at HLA loci is associated with a reduced risk of developing colorectal cancer (CRC). Methods We imputed HLA class I and II four-digit alleles using genotype data from a population-based study of 5,406 cases and 4,635 controls from the Molecular Epidemiology of Colorectal Cancer Study (MECC). Heterozygosity at each HLA locus and the number of heterozygous genotypes at HLA class -I (A, B, and C) and HLA class -II loci (DQB1, DRB1, and DPB1) were quantified. Logistic regression analysis was used to estimate the risk of CRC associated with HLA heterozygosity. Individuals with homozygous genotypes for all loci served as the reference category, and the analyses were adjusted for sex, age, genotyping platform, and ancestry. Further, we investigated associations between HLA diversity and tumor-associated T cell repertoire features, as measured by tumor infiltrating lymphocytes (TILs; N=2,839) and immunosequencing (N=2,357). Results Individuals with all heterozygous genotypes at all three class I genes had a reduced odds of CRC (OR: 0.74; 95% CI: 0.56-0.97, p= 0.031). A similar association was observed for class II loci, with an OR of 0.75 (95% CI: 0.60-0.95, p= 0.016). For class-I and class-II combined, individuals with all heterozygous genotypes had significantly lower odds of developing CRC (OR: 0.66, 95% CI: 0.49-0.87, p= 0.004) than those with 0 or one heterozygous genotype. HLA class I and/or II diversity was associated with higher T cell receptor (TCR) abundance and lower TCR clonality, but results were not statistically significant. Conclusion Our findings support a heterozygote advantage for the HLA class-I and -II loci, indicating an important role for HLA genetic variability in the etiology of CRC.
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Affiliation(s)
- Ya-Yu Tsai
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Chenxu Qu
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
| | - Joseph D. Bonner
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Rebeca Sanz-Pamplona
- Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Hospital Universitario Lozano Blesa, Aragon Health Research Institute (IISA), ARAID Foundation, Aragon Government, Zaragoza, Spain
| | - Sidney S. Lindsey
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Marilena Melas
- Molecular Diagnostics, New York Genome Center, New York, NY, United States
| | - Kevin J. McDonnell
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Gregory E. Idos
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Christopher P. Walker
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Kevin K. Tsang
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Diane M. Da Silva
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
| | - Ferran Moratalla-Navarro
- Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona, Barcelona, Spain
| | - Asaf Maoz
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, United States
| | - Hedy S. Rennert
- B. Rappaport Faculty of Medicine, Technion and the Association for Promotion of Research in Precision Medicine (APRPM), Haifa, Israel
| | - W. Martin Kast
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
| | - Joel K. Greenson
- Department of Pathology, University of Michigan, Ann Arbor, MI, United States
| | - Victor Moreno
- Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona, Barcelona, Spain
| | - Gad Rennert
- B. Rappaport Faculty of Medicine, Technion and the Association for Promotion of Research in Precision Medicine (APRPM), Haifa, Israel
| | - Stephen B. Gruber
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Stephanie L. Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, United States
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, United States
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Barros MHM, Alves PDS. Contribution of the Epstein-Barr virus to the oncogenesis of mature T-cell lymphoproliferative neoplasms. Front Oncol 2023; 13:1240359. [PMID: 37781191 PMCID: PMC10538126 DOI: 10.3389/fonc.2023.1240359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/24/2023] [Indexed: 10/03/2023] Open
Abstract
EBV is a lymphotropic virus, member of the Herpesviridae family that asymptomatically infects more than 90% of the human population, establishing a latent infection in memory B cells. EBV exhibits complex survival and persistence dynamics, replicating its genome through the proliferation of infected B cells or production of the lytic virions. Many studies have documented the infection of T/NK cells by EBV in healthy individuals during and after primary infection. This feature has been confirmed in humanized mouse models. Together these results have challenged the hypothesis that the infection of T/NK cells per se by EBV could be a triggering event for lymphomagenesis. Extranodal NK/T-cell lymphoma (ENKTCL) and Epstein-Barr virus (EBV)-positive nodal T- and NK-cell lymphoma (NKTCL) are two EBV-associated lymphomas of T/NK cells. These two lymphomas display different clinical, histological and molecular features. However, they share two intriguing characteristics: the association with EBV and a geographical prevalence in East Asia and Latin America. In this review we will discuss the genetic characteristics of EBV in order to understand the possible role of this virus in the oncogenesis of ENKTCL and NKTCL. In addition, the main immunohistological, molecular, cytogenetic and epigenetic differences between ENKTCL and NKTCL will be discussed, as well as EBV differences in latency patterns and other viral molecular characteristics.
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Affiliation(s)
| | - Paula Daniela S. Alves
- Oncovirology Laboratory, Bone Marrow Transplantation Center, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ, Brazil
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