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Boquett JA, Vianna FSL, Fagundes NJR, Schroeder L, Barbian M, Zagonel-Oliveira M, Andreis TF, Pôrto LCMS, Chies JAB, Schuler-Faccini L, Ashton-Prolla P, Rosset C. HLA haplotypes and differential regional mortality caused by COVID-19 in Brazil: an ecological study based on a large bone marrow donor bank dataset. AN ACAD BRAS CIENC 2023; 95:e20220801. [PMID: 37851747 DOI: 10.1590/0001-3765202320220801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 10/19/2022] [Indexed: 10/20/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) mortality rates varied among the states of Brazil during the course of the pandemics. The human leukocyte antigen (HLA) is a critical component of the antigen presentation pathway. Individuals with different HLA genotypes may trigger different immune responses against pathogens, which could culminate in different COVID-19 responses. HLA genotypes are variable, especially in the highly admixed Brazilian population. In this ecological study, we aimed to investigate the correlation between HLA haplotypes and the different regional distribution of COVID-19 mortality in Brazil. HLA data was obtained from 4,148,713 individuals registered in The Brazilian Voluntary Bone Marrow Donors Registry. COVID-19 data was retrieved from epidemiological bulletins issued by State Health Secretariats via Brazil's Ministry of Health from February/2020 to July/2022. We found a positive significant correlation between the HLA-A*01~B*08~DRB1*03 haplotype and COVID-19 mortality rates when we analyzed data from 26 states and the Federal District. This result indicates that the HLA-A*01~B*08~DRB1*03 haplotype may represent an additional risk factor for dying due to COVID-19. This haplotype should be further studied in other populations for a better understanding of the variation in COVID-19 outcomes across the world.
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Affiliation(s)
- Juliano André Boquett
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Rua Ramiro Barcelos, 2400, Santa Cecília, 90035-002 Porto Alegre, RS, Brazil
| | - Fernanda S L Vianna
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
| | - Nelson J R Fagundes
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Programa de Pós-Graduação em Biologia Animal, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
| | - Lucas Schroeder
- Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos, Laboratório de Visualização Avançada (VIZLab), Avenida Unisinos, 950, Cristo Rei, 93022-750 São Leopoldo, RS, Brazil
| | - Marcia Barbian
- Universidade Federal do Rio Grande do Sul, Departamento de Estatística, Instituto de Matemática e Estatística, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
| | - Marcelo Zagonel-Oliveira
- Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos, Laboratório de Visualização Avançada (VIZLab), Avenida Unisinos, 950, Cristo Rei, 93022-750 São Leopoldo, RS, Brazil
| | - Tiago F Andreis
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
| | - Luis Cristóvão M S Pôrto
- Universidade Estadual do Rio de Janeiro, Laboratório de Histocompatibilidade e Criopreservação, Rua São Francisco Xavier, 524, Maracanã, 20550-013 Rio de Janeiro, RJ, Brazil
| | - José Artur B Chies
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
| | - Lavinia Schuler-Faccini
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Rua Ramiro Barcelos, 2400, Santa Cecília, 90035-002 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Serviço de Genética Médica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
| | - Patricia Ashton-Prolla
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Avenida Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Serviço de Genética Médica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
| | - Clévia Rosset
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-903 Porto Alegre, RS, Brazil
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Andreis TF, Correa BS, Vianna FS, De-Paris F, Siebert M, Leistner-Segal S, Hahn EC, Ulbrich JM, Rivero LFR, De Oliveira FH, Lorandi V, Ashton-Prolla P, Macedo GS. Analysis of Predictive Biomarkers in Patients With Lung Adenocarcinoma From Southern Brazil Reveals a Distinct Profile From Other Regions of the Country. J Glob Oncol 2020; 5:1-9. [PMID: 31532708 PMCID: PMC6872182 DOI: 10.1200/jgo.19.00174] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Adenocarcinoma is the most common histologic subtype of non–small-cell lung cancer, representing 40% of all diagnoses. Several biomarkers are currently used to determine patient eligibility for targeted treatments, including analysis of molecular alterations in EGFR and ALK, as well as programmed death-ligand 1 (PD-L1) protein expression. Epidemiologic data reporting the frequency of these biomarkers in Brazilian patients with lung adenocarcinoma (LUAD) are limited, and existing studies predominantly included patients from the southeast region of the country. MATERIALS AND METHODS The goal of this study was to investigate the frequency of somatic mutations in the EGFR, KRAS, NRAS, and BRAF genes, ALK, and PD-L1 expression in a series of Brazilian patients diagnosed with LUAD predominantly recruited from centers in southern Brazil. Molecular analysis of the EGFR, KRAS, NRAS, and BRAF genes was performed by next-generation sequencing using DNA extracted from tumor tissue. Immunohistochemistry was used to detect ALK and PD-L1 expression. RESULTS Analysis of 619 tumors identified KRAS mutations in 189 (30.2%), EGFR mutations in 120 (19.16%), and BRAF mutations in 19 (3%). Immunohistochemistry demonstrated ALK and PD-L1 expression in 4% and 35.1% of patients, respectively. CONCLUSION To our knowledge, this is the first study investigating the molecular epidemiology of patients with LUAD from southern Brazil and the largest assessing the frequency of multiple predictive biomarkers for this tumor in the country. The study also reveals a distinct mutation profile compared with data originating from other regions of Brazil.
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Affiliation(s)
- Tiago F Andreis
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Bruno S Correa
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Fernanda S Vianna
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Marina Siebert
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Eriza C Hahn
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jane M Ulbrich
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | | | | | - Patricia Ashton-Prolla
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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