{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Fang Q"],"funding":["Xinglin Youth Talent Training System of Shanghai University of Traditional Chinese Medicine Xinglin Young Scholars"],"pagination":["408"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11377401"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["Lung adenocarcinoma (LUAD) is the most important subtype of lung cancer. It is well known that the gut microbiome plays an important role in the pathophysiology of various diseases, including cancer, but little research has been done on the intestinal microbiome associated with LUAD. Utilizing bioinformatics tools and data analysis, we identified novel potential prognostic biomarkers for LUAD. To integrate differentially expressed genes and clinical significance modules, we used a weighted correlation network analysis system. According to the Peryton database and the gutMGene database, the composition and structure of gut microbiota in LUAD patients differed from those in healthy individuals. LUAD was associated with 150 gut microbiota and 767 gut microbiota targets, with Krüppel-like fact"],"journal":["Discover oncology"],"pubmed_title":["The role of KLF5 in gut microbiota and lung adenocarcinoma: unveiling programmed cell death pathways and prognostic biomarkers."],"pmcid":["PMC11377401"],"funding_grant_id":["RC-2017-02-02"],"pubmed_authors":["Zhou M","Xu M","Han R","Dong CS","Zhang J","Guan S","Sun X","Yao W","Li N","Kawakita S","Shen A","Sun Q","Fang Q","Wu R"],"additional_accession":[]},"is_claimable":false,"name":"The role of KLF5 in gut microbiota and lung adenocarcinoma: unveiling programmed cell death pathways and prognostic biomarkers.","description":"Lung adenocarcinoma (LUAD) is the most important subtype of lung cancer. It is well known that the gut microbiome plays an important role in the pathophysiology of various diseases, including cancer, but little research has been done on the intestinal microbiome associated with LUAD. Utilizing bioinformatics tools and data analysis, we identified novel potential prognostic biomarkers for LUAD. To integrate differentially expressed genes and clinical significance modules, we used a weighted correlation network analysis system. According to the Peryton database and the gutMGene database, the composition and structure of gut microbiota in LUAD patients differed from those in healthy individuals. LUAD was associated with 150 gut microbiota and 767 gut microbiota targets, with Krüppel-like fact","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Sep","modification":"2026-05-08T20:03:36.379Z","creation":"2025-04-05T14:36:10.261Z"},"accession":"S-EPMC11377401","cross_references":{"pubmed":["39235679"],"doi":["10.1007/s12672-024-01257-w"]}}