Integrative analysis of mRNA and miRNA expression profiles reveals seven potential diagnostic biomarkers for non‑small cell lung cancer.

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The expression profiles of microRNAs (miRNAs) and mRNAs were downloaded from the GEO (GSE102286 and GSE101929) and TCGA databases. After data preprocessing, differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) in cancer and normal tissues were selected and used to construct a DEM‑DEG regulatory network and a protein‑protein interaction (PPI) network. The genes and miRNAs in these networks were subjected to functional enrichment and survival analyses. Several key DEMs and DEGs were verified using RT‑qPCR, and the results were statistically interpreted using a multivariate logistic regression analysis. In this study, 25 DEMs and 789 DEGs common to all datasets were identified, which were then used for the construction of a DEM‑DEG regulatory network and a PPI network module. Survival analyses of 19 DEMs in the DEM‑DEG regulatory network and 36 DEGs in the PPI network module revealed that 34 DEGs (including TOP2A, CCNB1, BIRC5, and TTK) and two miRNAs (miR‑21‑5p and miR‑31‑5p) were significantly associated with NSCLC prognosis. Moreover, RT‑qPCR analysis identified three DEGs and five DEMs that had changes in expression consistent with those observed in the bioinformatic analysis. Finally, a multivariate logistic regression analysis of the data showed that TOP2A, CCNB1, BIRC5, miR‑21‑5p, miR‑193b‑3p, miR‑210‑3p and miR‑31‑5p could be combined for the diagnosis of NSCLC. In conclusion, TOP2A, CCNB1, BIRC5, miR‑21‑5p, miR‑193b‑3p, miR‑210‑3p and miR‑31‑5p may therefore serve as important biomarkers and diagnostic targets for NSCLC.", "claims": [{"id": "claim-method", "statement": "Multivariate logistic regression analysis was then performed for key miRNAs and mRNAs with an area under the curve (AUC) >0.7 to explore the diagnosis value of the combined multi-index for NSCLC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31746439", "locator": "sections[15] \"Statistical analysis\" paragraph 3", "quote": "Multivariate logistic regression analysis was then performed for key miRNAs and mRNAs with an area under the curve (AUC) >0.7 to explore the diagnosis value of the combined multi-index for NSCLC."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this study are included within the article and supplementary files.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31746439", "locator": "sections[31] \"Availability of data and materials\" paragraph 2", "quote": "The data used to support the findings of this study are included within the article and supplementary files."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:31746439"], "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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