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pmid:38489730
Identification and prognostic analysis of candidate biomarkers for lung metastasis in colorectal cancer.
Yuxing Liu · Chenming Liu · Dong Huang · Chenyang Ge · Lin Chen · Jianfei Fu · Jinlin Du
Medicine · 2024 doi:10.1097/MD.0000000000037484
Paper
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Experiment
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Data
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Complete file
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Multiple cohort datasets and databases were integrated to clarify and verify potential key candidate biomarkers and signal transduction pathways in CRC lung metastasis. DAVID, STRING, UALCAN, GEPIA, TIMER, cBioPortal, THE HUMAN PROTEIN ATLAS, GSEA 4.3.2, FUNRICH 3.1.3, and R 4.2.3 were utilized in this study. The enriched biological processes and pathways modulated by the differentially expressed genes (DEGs) were determined with Gene Ontology, Kyoto Encyclopedia of Genes and Genomes. The search tool Retrieval of Interacting Genes and Cytoscape were used to construct a protein-protein interaction network among DEGs. Four hundred fifty-nine colorectal primary cancer and lung metastatic gene expression profiles were screened from 3 gene expression profiles (GSE41258, GSE68468, and GSE41568). 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