Identification of Candidate Target Genes and Immune Cells in Oral Squamous Cell Carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35003322", "kind": "science-record", "revision": 3, "content_hash": "sha256:fee62263aa2afda3a2a23fae9e160a4df11f8c94d6e1f892f4aaad267d79ef52", "created_at": "2026-11-01T17:36:43Z", "updated_at": "2026-11-01T21:26:57Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Candidate Target Genes and Immune Cells in Oral Squamous Cell Carcinoma.", "doi": "10.1155/2021/5802110", "pmid": "35003322", "authors": ["Pengfeng Xie", "Shichao Wu", "Lijuan Guo", "Jun Ren", "Kaizhi Cai", "Mingyue Zhou", "Weiwei Liu", "Sen Yang"], "journal": "Computational and mathematical methods in medicine", "year": 2021, "abstract": "BACKGROUND: The advance of new treatment strategies for more effective management of oral cancer requires identification of novel biological targets. Therefore, the purpose of this study is to identify novel biomarkers associated with oral tumorigenesis and prognostic signature by comparing gene expression profile of oral squamous cell carcinomas (OSCCs).\nMETHODS: Four datasets including GSE25099, GSE30784, GSE37991, and GSE41613 were collected from Gene Expression Omnibus (GEO) database. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Cox model analysis, identification of key genes, and Kaplan-Meier analysis were also performed. The xCell was utilized to analyze the infiltration levels of immune cells.\nRESULTS: A total of 235 differentially expressed genes (DEGs) were found to be dysregulated in OSCC. These genes were mainly enriched in ECM receptor interaction and focal adhesion. Cox regression analysis identified 10 genes considered as key genes. Kaplan-Meier analysis showed that low expression of SERPINE1 (also known as PAI-1), high expression of CD1C, and C-X3-C motif chemokine receptor 1 (CX3CR1) were associated with well prognostic status in OSCC patients. In addition, we constructed a 3-immune-cell signature (myeloid dendritic cell, T cell CD4+ central memory, and common myeloid progenitor) that may be used to predict the survival status of OSCC patients.\nCONCLUSION: Three key genes and 3-immune-cell signature were potential biomarkers for the prognosis of OSCC, and they may serve as potential targets for the treatment of OSCC patients.", "claims": [{"id": "claim-method", "statement": "Genes with significant prognostic value (P < 0.05) in DEGs or immune cells were determined with univariate Cox regression analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35003322", "locator": "sections[7] \"2.5. 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