{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10(17)"],"submitter":["Lin P"],"pubmed_abstract":["<h4>Background</h4>Head and neck squamous cell carcinoma (HNSC) is the 7th most common type of cancer in the world. Through the advantages of The Cancer Genome Atlas (TCGA) large-scale sequencing-based genome analysis technology, we can explore the potential molecular mechanisms that can improve the prognosis of HNSC patients.<h4>Methods</h4>The HNSC transcriptome and clinical data were downloaded from TCGA database. A univariate survival analysis and differential expression analysis were conducted to obtain the intersection gene set. A protein-protein interaction (PPI) analysis, modular analysis, and Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis were then conducted to identify the hub genes. Clinical correlation analysis, univariate and m"],"journal":["Annals of translational medicine"],"pagination":["923"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9511182"],"repository":["biostudies-literature"],"pubmed_title":["Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database."],"pmcid":["PMC9511182"],"pubmed_authors":["Lin P","Ding Y","Wang QY","Liu MY","Ye JC","Hu XL","Hu YY"],"additional_accession":[]},"is_claimable":false,"name":"Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database.","description":"<h4>Background</h4>Head and neck squamous cell carcinoma (HNSC) is the 7th most common type of cancer in the world. Through the advantages of The Cancer Genome Atlas (TCGA) large-scale sequencing-based genome analysis technology, we can explore the potential molecular mechanisms that can improve the prognosis of HNSC patients.<h4>Methods</h4>The HNSC transcriptome and clinical data were downloaded from TCGA database. A univariate survival analysis and differential expression analysis were conducted to obtain the intersection gene set. A protein-protein interaction (PPI) analysis, modular analysis, and Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis were then conducted to identify the hub genes. Clinical correlation analysis, univariate and m","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Sep","modification":"2026-05-28T01:09:25.347Z","creation":"2025-04-19T22:48:55.221Z"},"accession":"S-EPMC9511182","cross_references":{"pubmed":["36172089"],"doi":["10.21037/atm-22-1143"]}}