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pmid:36591519
Integrated bioinformatics analysis of IFITM1 as a prognostic biomarker and investigation of its immunological role in prostate adenocarcinoma.
Shaoyi Qiao · Wuhe Zhang · Yansheng Su · Yao Jiang
Frontiers in oncology · 2022 doi:10.3389/fonc.2022.1037535
Paper
complete
Experiment
complete
Data
partial
Analysis
partial
Execution
absent
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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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Complete file
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Our study aimed to identify novel markers for the prognosis of PRAD using bioinformatics technology.\nMethods: The GSE32571 dataset was downloaded from the GEO database, and analyzed via the limma R package to identify differentially expressed genes (DEGs) and differentially expressed immune score-related genes (DEISRGs). The immune-related genes (IRGs) were further obtained by overlapping DEISRGs and DEGs, and the core gene was identified via survival analysis. Furthermore, the expression level, prognostic value, and potential functions of the core gene were evaluated via multiple bioinformatics databases.\nResults: A total of 301 IRGs were identified from the GSE32571 dataset, and IFITM1 was a down-regulated gene in several types of cancer, including PRAD. Besides, low expression of IFITM1 was associated with a poor prognosis in PRAD. GSEA indicated that the vital pathways of IFITM1-associated genes were mainly enriched in primary immunodeficiency, Th17 cell differentiation, Th1, and Th2 cell differentiation, natural killer cell-mediated cytotoxicity, myeloid dendritic cell activation, regulation of leukocyte activation, etc. Furthermore, IFITM1 was closely correlated with 22 types of tumor-infiltrating immune cells.\nDiscussion: IFITM1 was a prognostic biomarker for PRAD patients, and it can be acted as a potential immune therapy target in PRAD.", "claims": [{"id": "claim-method", "statement": "The Kaplan–Meier method with the log-rank test was applied to compare the overall survival for different IFITM1 patterns.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36591519", "locator": "sections[9] \"Survival analysis for IFITM1\" paragraph 2", "quote": "The Kaplan–Meier method with the log-rank test was applied to compare the overall survival for different IFITM1 patterns."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/ Supplementary Material . 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