Gut mycobiome as a potential non-invasive tool in early detection of lung adenocarcinoma: a cross-sectional study.

ABSTRACT:

Background

The gut mycobiome of patients with lung adenocarcinoma (LUAD) remains unexplored. This study aimed to characterize the gut mycobiome in patients with LUAD and evaluate the potential of gut fungi as non-invasive biomarkers for early diagnosis.

Methods

In total, 299 fecal samples from Beijing, Suzhou, and Hainan were collected prospectively. Using internal transcribed spacer 2 sequencing, we profiled the gut mycobiome. Five supervised machine learning algorithms were trained on fungal signatures to build an optimized prediction model for LUAD in a discovery cohort comprising 105 patients with LUAD and 61 healthy controls (HCs) from Beijing. Validation cohorts from Beijing, Suzhou, and Hainan comprising 44, 17, and 15 patients with LUAD and 26, 19, and 12 HCs, respec

SUBMITTER: Liu Q 

PROVIDER: S-EPMC10617124 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature