Evidence map›Paper›PMID 32869023›Full record

ArticlebioRxiv : the preprint server for biology2020

SARS-CoV-2 genomic and quasispecies analyses in cancer patients reveal relaxed intrahost virus evolution.

Juliana D Siqueira, Livia R Goes, Brunna M Alves, Pedro S de Carvalho, Claudia Cicala, James Arthos, João P B Viola, Andréia C de Melo, Marcelo A Soares

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 18 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Juliana D SiqueiraPrograma de Oncovirologia, Instituto Nacional de Câncer. Rio de Janeiro, RJ, Brazil.
Livia R GoesPrograma de Oncovirologia, Instituto Nacional de Câncer. Rio de Janeiro, RJ, Brazil.
Brunna M AlvesPrograma de Oncovirologia, Instituto Nacional de Câncer. Rio de Janeiro, RJ, Brazil.
Pedro S de CarvalhoPrograma de Oncovirologia, Instituto Nacional de Câncer. Rio de Janeiro, RJ, Brazil.
Claudia CicalaLaboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA.
James ArthosLaboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA.
João P B ViolaPrograma de Imunologia e Biologia de Tumores, Instituto Nacional de Câncer, Rio de Janeiro, RJ, Brazil.
Andréia C de MeloDivisão de Pesquisa Clínica e Desenvolvimento Tecnológico, Instituto Nacional de Câncer, Rio de Janeiro, RJ, Brazil.
Marcelo A SoaresPrograma de Oncovirologia, Instituto Nacional de Câncer. Rio de Janeiro, RJ, Brazil.
Instituto Nacional de Câncer - INCA · BRNational Institute of Allergy and Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Identifiers

PMID32869023
PMCPMC7457605
OpenAlexW3081453115

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.