Metagenomic next-generation sequencing for lung cancer low respiratory tract infections diagnosis and characterizing microbiome features.

ABSTRACT:

Background

The capability of mNGS in diagnosing suspected LRTIs and characterizing the respiratory microbiome in lung cancer patients requires further evaluation.

Methods

This study evaluated mNGS diagnostic performance and utilized background microbial sequences to characterize LRT microbiome in these patients. GSVA was used to analyze the potential functions of identified genera.

Results

Bacteria were the most common pathogens (n=74) in LRTIs of lung cancer patients, and polymicrobial infections predominated compared to monomicrobial infections (p<0.001). In diagnosing LRTIs in lung cancer patients, the pathogen detection rate of mNGS (83.3%, 70/84) was significantly higher than that of sputum culture (34.5%, 29/84) (p<0.001). This result was consistent with that of

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11799255 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature