In lung cancer, enrichment of the lower airway microbiota with oral commensals commonly occurs and ex vivo models support that some of these bacteria can trigger host transcriptomic signatures associated with carcinogenesis. Here, we show that this lower airway dysbiotic signature was more prevalent in group IIIB-IV TNM stage lung cancer and is associated with poor prognosis, as shown by decreased survival among subjects with early stage disease (I-IIIA) and worse tumor progression as measured by RECIST scores among subjects with IIIB-IV stage disease. In addition, this lower airway microbiota signature was associated with upregulation of IL-17, PI3K, MAPK and ERK pathways in airway transcriptome, and we identified Veillonella parvula as the most abundant taxon driving this association. In a KP lung cancer model, lower airway dysbiosis with V. parvula led to decreased survival, increased tumor burden, IL-17 inflammatory phenotype and activation of checkpoint inhibitor markers.
Statement of Significance (50 word limit)Multiple lines of investigations have shown that the gut microbiota affects host immune response to immunotherapy in cancer. Here we support that the local airway microbiota modulates the host immune tone in lung cancer affecting tumor progression and prognosis.Research.
he earliest known case of SARS-CoV-2 infection causing COVID-19 is thought to have occurred on 17 November 2019 (ref. 1 ). As of 3 August 2021, 198.7 million confirmed cases of COVID-19 and 4.2 million deaths have been reported worldwide 2 . As the global scientific community has rallied in a concerted effort to understand SARS-CoV-2 infections, our background knowledge
Aspiration is associated with nontuberculous mycobacterial (NTM) pulmonary disease and airway dysbiosis is associated with increased inflammation. We examined whether NTM disease was associated with a distinct airway microbiota and immune profile.297 oral wash and induced sputum samples were collected from 106 participants with respiratory symptoms and imaging abnormalities compatible with NTM. Lower airway samples were obtained in 20 participants undergoing bronchoscopy. 16S rRNA gene and nested mycobacteriome sequencing approaches characterised microbiota composition. In addition, inflammatory profiles of lower airway samples were examined.The prevalence of NTM cultures was 58%. Few changes were noted in microbiota characteristics or composition in oral wash and sputum samples among groups. Among NTM samples, 27% of the lower airway samples were enriched with A mycobacteriome approach identified in a greater percentage of samples, including some nonpathogenic strains. In NTM lower airway samples, taxa identified as oral commensals were associated with increased inflammatory biomarkers.The 16S rRNA gene sequencing approach is not sensitive in identifying NTM among airway samples that are culture-positive. However, associations between lower airway inflammation and microbiota signatures suggest a potential role for these microbes in the inflammatory process in NTM disease.
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