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SARS-CoV-2 genomic analyses in cancer patients reveal elevated intrahost genetic diversity
- Source :
- bioRxiv, article-version (status) pre, article-version (number) 1, Virus Evolution
- Publication Year :
- 2021
-
Abstract
- Numerous factors have been identified to influence susceptibility to 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 full-length SARS-CoV-2 genomic sequences of cancer patients and healthcare workers (HCW; non-cancer controls) by deep sequencing and investigated the within-host viral quasispecies of each infection, quantifying intrahost genetic diversity. Naso- and oropharyngeal SARS-CoV-2+ swabs from 57 cancer patients and 14 healthcare workers (HCW) from the Brazilian Cancer Institute were collected in April–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 (iSNVs) 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%). Cancer patients displayed a significantly higher intrahost viral genetic diversity compared to HCW (p = 0.009). Intrahost genetic diversity in cancer patients was independent of SARS-CoV-2 Ct values, and was not associated with disease severity, use of corticosteroids, or use of antivirals, characteristics that could influence viral diversity. Such a feature may explain, at least in part, the more adverse outcomes to which cancer/COVID-19 patients experience.<br />Author Summary 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. In this study, phylogenetic and variation analysis of SARS-CoV-2 genomes from cancer patients and non-cancer healthcare workers at the Brazilian National Cancer Institute were characterized by deep sequencing. Viral genomes showed signatures characteristic of Brazilian viruses, consistent with the hypothesis of local, community transmission rather than virus importation from abroad. Despite most genomes in patients and healthcare workers belonging to the same lineage, intrahost variability was higher in cancer patients when compared to non-cancer counterparts. The intrahost genomic diversity analysis presented in our study highlights the relaxed evolution of SARS-CoV-2 in a vulnerable population of cancer patients. The high number of minor variations can result in the selection of immune escape variants, resistance to potential drugs, and/or increased pathogenicity. The impact of this higher intrahost variability over time warrants further investigation.
- Subjects :
- Population
Biology
Microbiology
Deep sequencing
Article
Metastasis
03 medical and health sciences
0302 clinical medicine
Virology
medicine
cancer
AcademicSubjects/MED00860
single nucleotide variant
Clade
education
030304 developmental biology
Genetics
0303 health sciences
Genetic diversity
education.field_of_study
Phylogenetic tree
SARS-CoV-2
Haplotype
AcademicSubjects/SCI01130
AcademicSubjects/SCI02285
Cancer
COVID-19
quasispecies
medicine.disease
full-length genome
030220 oncology & carcinogenesis
Research Article
Subjects
Details
- ISSN :
- 20571577
- Volume :
- 7
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Virus evolution
- Accession number :
- edsair.doi.dedup.....abf0db92adec279cd05d3adada7b8deb