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Naso-oropharyngeal microbiome from breast cancer patients diagnosed with COVID-19.
Viana, Maria Carolina; Curty, Gislaine; Furtado, Carolina; Singh, Bhavya; Bendall, Matthew L; Viola, João P B; de Melo, Andreia Cristina; Soares, Marcelo A; Moreira, Miguel A M.
Afiliação
  • Viana MC; Tumor Genetics and Virology Program, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
  • Curty G; Tumor Genetics and Virology Program, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
  • Furtado C; Tumor Genetics and Virology Program, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
  • Singh B; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
  • Bendall ML; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
  • Viola JPB; Program of Immunology and Tumor Biology, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
  • de Melo AC; Division of Clinical Research and Technological Development, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
  • Soares MA; Tumor Genetics and Virology Program, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
  • Moreira MAM; Tumor Genetics and Virology Program, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
Front Microbiol ; 13: 1074382, 2022.
Article em En | MEDLINE | ID: mdl-36713167
Due to immunosuppressive cancer therapies, cancer patients diagnosed with COVID-19 have a higher chance of developing severe symptoms and present a higher mortality rate in comparison to the general population. Here we show a comparative analysis of the microbiome from naso-oropharyngeal samples of breast cancer patients with respect to SARS-CoV-2 status and identified bacteria associated with symptom severity. Total DNA of naso-oropharyngeal swabs from 74 women with or without breast cancer, positive or negative for SARS-CoV-2 were PCR-amplified for 16S-rDNA V3 and V4 regions and submitted to massive parallel sequencing. Sequencing data were analyzed with QIIME2 and taxonomic identification was performed using the q2-feature-classifier QIIME2 plugin, the Greengenes Database, and amplicon sequence variants (ASV) analysis. A total of 486 different bacteria were identified. No difference was found in taxa diversity between sample groups. Cluster analysis did not group the samples concerning SARS-CoV-2 status, breast cancer diagnosis, or symptom severity. Three taxa (Pseudomonas, Moraxella, and Klebsiella,) showed to be overrepresented in women with breast cancer and positive for SARS-CoV-2 when compared to the other women groups, and five bacterial groups were associated with COVID-19 severity among breast cancer patients: Staphylococcus, Staphylococcus epidermidis, Scardovia, Parasegitibacter luogiensis, and Thermomonas. The presence of Staphylococcus in COVID-19 breast cancer patients may possibly be a consequence of nosocomial infection.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article