EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma.

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Differential expression analysis, univariate regression analysis, and machine learning were performed in three microarray datasets (GSE2371, GSE12452, and GSE102349) collected from the GEO database. Three hundred and sixty-six EBV-DEGs were identified, 25 of which were found to be significantly associated with NPC prognosis. These 25 genes were used to classify NPC into two subtypes, and six genes (C16orf54, CD27, CD53, CRIP1, RARRES3, and TBC1D10C) were found to be hub genes in NPC related to immune infiltration and cell cycle regulation. It was shown that these genes could be used to predict the prognosis of NPC, with functions related to tumor proliferation and immune infiltration, making them potential therapeutic targets. The findings of this study could aid in the development of screening and prognostic methods for NPC based on EBV-related features.", "claims": [{"id": "claim-method", "statement": "Univariate Cox regression was then used to identify the DEGs correlated with prognosis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37766321", "locator": "sections[5] \"2.3. Univariate Cox Regression and Survival Analysis\" paragraph 2", "quote": "Univariate Cox regression was then used to identify the DEGs correlated with prognosis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that supported the findings of this study are openly available in the Gene Expression Omnibus (GEO) database: https://www.ncbi.nlm.nih.gov/geo/. Data generated from analysis in this study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37766321", "locator": "sections[28] \"notes\" paragraph 1", "quote": "The data that supported the findings of this study are openly available in the Gene Expression Omnibus (GEO) database: https://www.ncbi.nlm.nih.gov/geo/. Data generated from analysis in this study are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Univariate Cox regression identified 25 prognosis-associated EBV-DEGs from the 257 EBV-DEGs available in the merged clinical datasets.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37766321", "locator": "sections[15] \"3.2. Screening of Prognosis-Associated Genes among the EBV-DEGs\" paragraph 2", "quote": "We obtained 25 prognosis-associated EBV-DEGs from the remaining 257 genes for further analysis (Table S1; Cox regression p-value: 0.01)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Univariate Cox regression identified 25 prognosis-associated EBV-DEGs from the 257 EBV-DEGs available in the merged clinical datasets.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37766321"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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