Clinicopathological and prognostic values of MET expression in pancreatic adenocarcinoma based on bioinformatics analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37832054", "kind": "science-record", "revision": 4, "content_hash": "sha256:ed305f4648740bc25ee73275ccc682857c47d5196e5d0bf9ba35a80dd1edeba4", "created_at": "2026-11-01T19:02:41Z", "updated_at": "2026-11-01T22:52:53Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Clinicopathological and prognostic values of MET expression in pancreatic adenocarcinoma based on bioinformatics analysis.", "doi": "10.1097/MD.0000000000034656", "pmid": "37832054", "authors": ["Yixing Yao", "Rui Zhan", "Chanchan Gong", "Jiaying Lv", "Xialiang Lu"], "journal": "Medicine", "year": 2023, "abstract": "Pancreatic adenocarcinoma (PAAD) is regarded as one of the most lethiferous cancers worldwide because treatment of pancreatic cancer remains challenging and mostly palliative. Little progress had been made to select certain reliable biomarkers as clinical prognosis. In this context, GSE28735 and GSE16515 were obtained from the Gene Expression Omnibus (GEO). GEO2R tool was used to recognize differentially expressed genes (DEGs). 351 DEGs were screened which included 230 up-regulated genes and 121 down-regulated genes. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to analyze the DEGs and associated signal pathways in the DAVID database. A protein-protein interaction (PPI) network was then constructed to screen 10 hub genes by STRING database and Cityscape software. Analyses of 10 hub genes were performed on GEPIA database and GSCA database, which revealed that MET was high expressed and significantly associated with survival of PAAD patients. Immunohistochemical staining showed that MET was higher expressed in PAAD tissues than adjacent tissues in 20 samples. The clinicopathological analysis revealed that high expression of MET was associated with the degree of differentiation, lymph node metastasis, vascular cancer thrombus and nerve invasion in PAAD tissues (P < .05). Furthermore, the Tumor Immune Estimation Resource (TIMER) database analyzed the correlation between the MET expression level and immune infiltration levels, which elucidated that MET expression was appreciably positively correlated with the infiltration levels of myeloid-derived suppressor cells (MDSCs). Here, these results strongly indicate MET is an unique prognostic biomarker. Its expression level is correlated with certain clinicopathological features and immune cell infiltration.", "claims": [{"id": "claim-method", "statement": "Student t test was used for comparisons. The χ2 test was applied for relations between MET expression and clinicopathological factors. Spearman’s coefficient (rho) was calculated as the correlation between regulators and targets. In the univariate and multivariate Cox regression analyses, the hazard ratio (HR) and P value were calculated to determine relevant factors related to overall survival of PAAD patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37832054", "locator": "sections[4] \"2.2. Identification and analysis of DEGs\" paragraph 2", "quote": "Student t test was used for comparisons."}, {"asset": "source:pmid:37832054", "locator": "sections[9] \"2.7. Statistical analysis\" paragraph 2", "quote": "The χ2 test was applied for relations between MET expression and clinicopathological factors."}, {"asset": "source:pmid:37832054", "locator": "sections[9] \"2.7. Statistical analysis\" paragraph 2", "quote": "Spearman’s coefficient (rho) was calculated as the correlation between regulators and targets."}, {"asset": "source:pmid:37832054", "locator": "sections[9] \"2.7. Statistical analysis\" paragraph 2", "quote": "In the univariate and multivariate Cox regression analyses, the hazard ratio (HR) and P value were calculated to determine relevant factors related to overall survival of PAAD patients."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the current study are publicly available.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37832054", "locator": "sections[19] \"(untitled)\" paragraph 1", "quote": "The datasets generated during and/or analyzed during the current study are publicly available."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "", "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:37832054"], "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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Immunohistochemical staining showed that MET was higher expresse", "cal characteristics. 2.6. Tissue samples and immunohistochemistry (IHC) Human PAAD tumor and adjacent tissues", "rval, DSS = disease specific survival, IHC = immunohistochemistry, MDSCs = myeloid-derived suppressor cells, O", "were incubated for 30 minutes. Evaluation of immunoreactivity for MET was performed according to staining"], "order_basis": "paper_text_order:1081", "id": "assay:1"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Student t test was used for comparisons. The χ2 test was applied for relations between MET expression and clinicopathological factors. Spearman’s coefficient (rho) was calculated as the correlation between regulators and targets. 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