{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["23(23)"],"submitter":["Xi Y"],"pubmed_abstract":["Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide. We aimed to identify potential genetic markers that could predict the prognosis of HNSCC. A total of 44 samples of GSE83519 from Gene Expression Omnibus (GEO) datasets and 546 samples of HNSCC from The Cancer Genome Atlas (TCGA) were adopted. The differently expressed genes (DEGs) of the samples were screened by GEO2R. We integrated the expression information of DEGs with clinical data from GES42743 using the weighted gene co-expression network analysis (WGCNA). A total of 17 hub genes were selected by the module membership (|MM| > 0.8), and the gene significance (|GS| > 0.3) was selected from the turquoise module. GOLM1 and FAM49B genes were chosen based on single-gene analysis results. Survival ana"],"journal":["International journal of molecular sciences"],"pagination":["15433"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9737887"],"repository":["biostudies-literature"],"pubmed_title":["GOLM1 and FAM49B: Potential Biomarkers in HNSCC Based on Bioinformatics and Immunohistochemical Analysis."],"pmcid":["PMC9737887"],"pubmed_authors":["Xi Y","Zhang T","Ganesh S","Sun W","Chen H","Liang R"],"additional_accession":[]},"is_claimable":false,"name":"GOLM1 and FAM49B: Potential Biomarkers in HNSCC Based on Bioinformatics and Immunohistochemical Analysis.","description":"Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide. We aimed to identify potential genetic markers that could predict the prognosis of HNSCC. A total of 44 samples of GSE83519 from Gene Expression Omnibus (GEO) datasets and 546 samples of HNSCC from The Cancer Genome Atlas (TCGA) were adopted. The differently expressed genes (DEGs) of the samples were screened by GEO2R. We integrated the expression information of DEGs with clinical data from GES42743 using the weighted gene co-expression network analysis (WGCNA). A total of 17 hub genes were selected by the module membership (|MM| > 0.8), and the gene significance (|GS| > 0.3) was selected from the turquoise module. GOLM1 and FAM49B genes were chosen based on single-gene analysis results. Survival ana","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Dec","modification":"2026-04-08T14:25:36.386Z","creation":"2025-04-04T23:37:01.002Z"},"accession":"S-EPMC9737887","cross_references":{"pubmed":["36499755"],"doi":["10.3390/ijms232315433"]}}