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
Tumor Genetics and Virology Program, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Front Microbiol. 2023 Jan 11;13:1074382. doi: 10.3389/fmicb.2022.1074382. eCollection 2022.
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 (, , and ,) 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: , , , , and . The presence of in COVID-19 breast cancer patients may possibly be a consequence of nosocomial infection.
由于免疫抑制性癌症治疗，被诊断患有COVID-19的癌症患者出现严重症状的几率更高，与普通人群相比死亡率也更高。在此，我们展示了对乳腺癌患者鼻咽样本微生物组相对于SARS-CoV-2状态的比较分析，并确定了与症状严重程度相关的细菌。对74名患有或未患有乳腺癌、SARS-CoV-2检测呈阳性或阴性的女性的鼻咽拭子总DNA进行PCR扩增，扩增16S-rDNA V3和V4区域，并进行大规模平行测序。测序数据用QIIME2进行分析，分类鉴定使用q2-feature-classifier QIIME2插件、Greengenes数据库和扩增子序列变异（ASV）分析。共鉴定出486种不同细菌。样本组之间的分类群多样性未发现差异。聚类分析未根据SARS-CoV-2状态、乳腺癌诊断或症状严重程度对样本进行分组。与其他女性组相比，三个分类群（、和）在患有乳腺癌且SARS-CoV-2检测呈阳性的女性中显示出过高的比例，并且五个细菌群与乳腺癌患者的COVID-19严重程度相关：、、、和。COVID-19乳腺癌患者中存在可能是医院感染的结果。
