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pmid:37313154
Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis.
Hao Song · Junfeng Wu · Wang Liu · Kaier Cai · Zhilong Xie · Yingao Liu · Jiandi Huang · Siyuan Gan · Yinghuan Xiong · Yanqin Sun
Heliyon · 2023 doi:10.1016/j.heliyon.2023.e16789
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Complete file
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Then, we obtained the corresponding differentially expressed genes by analyzed 5 gene chips online by GEO2R (P < 0.05, |logFC| > 1). Then, through DAVID online platform, Cytoscape 3.6.1 software and PPI network analysis, the network was visualized and obtain the final core genes. Next, we plan to use the GEPIA, UALCAN, Kaplan-Meier plotter and Time 2.0 database for corresponding analysis. The GEPIA database was used to verify the expression of core genes in LUAD and normal lung tissues, and survival analysis was used to evaluate the value of core genes in the prognosis of LUAD patients. UALCAN was used to verify the expression of the LUAD core gene and promoter methylation status, and the predictive value of core genes was evaluated in LUAD patients by the Kaplan-Meier plotter online tool. Then, we used the Time 2.0 database to identify the relationship to immune infiltration in LUAD. Finally, we used the human protein atlas (HPA) database for online immunohistochemical analysis of the expressed proteins.\nResults: The expression of CCNB2 and CDC20 in LUAD were higher than those in normal lung tissues, their increased expression was negatively correlated with the overall survival rate of LUAD, and they were involved in cell cycle signal transduction, oocyte meiosis signal transduction as well as the infiltration process of immune cells in LUAD. The expression proteins of CCNB2 and CDC20 were also different in lung cancer tissue and normal lung tissue. Therefore, CCNB2 and CDC20 were identified as the vital core genes.\nConclusion: CCNB2 and CDC20 are essential genes that may constitute prognostic biomarkers in LUAD, they also participate the immune infiltration process and protein expression process of LUAD, and might provides basis for clinical anti-tumor drug research.", "claims": [{"id": "claim-method", "statement": "Five data groups were analyzed online by GEO2R, and through screening, P < 0.05 and |logFC| > 1, and the corresponding differentially expressed genes (DEGs) of the 5 datasets were obtained.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37313154", "locator": "sections[5] \"Data processing\" paragraph 2", "quote": "Five data groups were analyzed online by GEO2R, and through screening, P < 0.05 and |logFC| > 1, and the corresponding differentially expressed genes (DEGs) of the 5 datasets were obtained."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All databases (GEO, DAVID, Venn diagram, STRING, GEPIA database, TIMER 2.0 database, the HPA database) are freely available on the web.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37313154", "locator": "sections[31] \"References\" paragraph 1", "quote": "All databases (GEO, DAVID, Venn diagram, STRING, GEPIA database, TIMER 2.0 database, the HPA database) are freely available on the web."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The five microarray datasets yielded 188 intersecting differentially expressed genes, including 39 upregulated genes and 149 downregulated genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37313154", "locator": "sections[12] \"Data identification of LUAD differentially expressed genes\" paragraph 2", "quote": "A Venn diagram was drawn to obtain the intersection of the five datasets, and we obtained 188 differentially expressed genes (see Table 1), including 39 upregulated genes and 149 downregulated genes (see Fig. 1A and B)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The five microarray datasets yielded 188 intersecting differentially expressed genes, including 39 upregulated genes and 149 downregulated genes.", "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:37313154"], "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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