Gut mycobiome as a potential non-invasive tool in early detection of lung adenocarcinoma: a cross-sectional study - Liu, Qingyan; Zhang, Weidong; Pei, Yanbin; Tao, Haitao; Ma, Junxun; Li, Rong; Zhang, Fan; Wang, Lijie; Shen, Leilei; Liu, Yang; Jia, Xiaodong; Hu, Yi (BMC medicine, 2023)
Keywords: Adenocarcinoma; Algorithms; Analysis; Antibiotics; Biodiversity; Bioinformatics; Biological diversity; Biological markers; Biomarkers; Biomedicine; Cancer therapies; Candida; Care and treatment; Composition; Confounding (Statistics); Cross-sectional studies; Data mining; Diagnosis; Early-stage diagnosis; Feces; Fungal signature; Fungi; Gender; Genera; Gut mycobiome; Health aspects; Health care; Invasiveness; Lung adenocarcinoma; Lung cancer; Lung diseases; Lungs; Machine learning; Medical diagnosis; Medical prognosis; Medicine; Medicine & Public Health; Methods; Microbiota; Microbiota (Symbiotic organisms); Non-invasive biomarker; Performance prediction; Prediction models; Research Article; Saccharomyces; Software; Somatotropin; Statistical analysis; Supervised learning; Supervised machine learning; Tumors; Veganism; China; Beijing China; United States--US; Early-stage diagnosis; Supervised machine learning; Lung adenocarcinoma; Fungal signature; Non-invasive biomarker; Gut mycobiome