Please use this identifier to cite or link to this item: https://ninho.inca.gov.br/jspui/handle/123456789/5959
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSiqueira, Juliana Domett-
dc.contributor.authorGoes, Livia Ramos-
dc.contributor.authorAlves, Brunna Luiza Misael-
dc.contributor.authorCarvalho, Pedro Santos de-
dc.contributor.authorCicala, Claudia-
dc.contributor.authorArthos, James-
dc.contributor.authorViola, Joao Paulo de Biaso-
dc.contributor.authorMelo, Andreia Cristina de-
dc.contributor.authorSoares, Marcelo Alves-
dc.date.accessioned2022-03-23T18:32:11Z-
dc.date.available2022-03-23T18:32:11Z-
dc.date.issued2021-02-
dc.identifier.issn2057-1577-
dc.identifier.other10.1093/ve/veab013-
dc.identifier.urihttp://sr-vmlxaph03:8080/jspui/handle/123456789/5959-
dc.description.abstractNumerous factors have been identified to influence susceptibility to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and disease severity. Cancer patients are more prone to clinically evolve to more severe COVID-19 conditions, but the determinants of such a more severe outcome remain largely unknown. We have determined the fulllengthSARS-CoV-2 genomicsequencesof cancerpatientsand healthcare workers(non-cancer controls)by deepsequencing and investigated the within-host viral population of each infection, quantifying intrahost genetic diversity. Naso- and oropharyngeal SARS-CoV-2þ swabs from 57 cancer patients and 14 healthcare workers from the Brazilian National Cancer Institute were collected in April to May 2020. Complete genome amplification using ARTIC network V3 multiplex primers was performed followed by next-generation sequencing. Assemblies were conducted in Geneious R11, where consensus sequences were extracted and intrahost single nucleotide variants were identified. Maximum likelihood phylogenetic analysis was performed using PhyMLv.3.0 and lineages were classified using Pangolin and CoV-GLUE. Phylogenetic analysis showed that all but one strain belonged to clade B1.1. Four genetically linked mutations known as the globally dominant SARS-CoV-2 haplotype (C241T, C3037T, C14408T and A23403G) were found in the majority of consensus sequences. SNV signatures of previously characterized Brazilian genomes were also observed in most samples. Another 85 SNVs were found at a lower frequency (1.4%–19.7%) among the consensus sequences. Cancer patients displayed a significantly higher intrahost viral genetic diversity compared to healthcare workers. This difference was independent of SARS-CoV-2 Ct values obtained at the diagnostic tests, which did not differ between the two groups. The most common nucleotide changes of intrahost SNVs in both groups were consistent with APOBEC and ADAR activities. Intrahost genetic diversity in cancer patients was not associated with disease severity, use of corticosteroids, or use of antivirals, characteristics that could influence viral diversity. Moreover, the presence of metastasis, either in general or specifically in the lung, was not associated with intrahost diversity among cancer patients. Cancer patients carried significantly higher numbers of minor variants compared to non-cancer counterparts. Further studies on SARS-CoV-2 diversity in especially vulnerable patients will shed light onto the understanding of the basis of COVID-19 differentoutcomes in humans.pt_BR
dc.language.isoenpt_BR
dc.publisherVirus Evolutionpt_BR
dc.subjectSARS-CoV-pt_BR
dc.subjectCOVID-19pt_BR
dc.subjectNeoplasmspt_BR
dc.subjectCancerpt_BR
dc.titleSARS-CoV-2 genomic analyses in cancer patients reveal elevated intrahost genetic diversitypt_BR
dc.TypeArticlept_BR
Appears in Collections:Artigos de Periódicos da Pesquisa Experimental e Translacional

Files in This Item:
File Description SizeFormat 
SARS-CoV-2 genomic analyses in cancer patients reveal elevated intrahost genetic diversity.pdf592.55 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.