SEL1L3 as a link molecular between renal cell carcinoma and atherosclerosis based on bioinformatics analysis and experimental verification.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37993256", "kind": "science-record", "revision": 3, "content_hash": "sha256:208fc21c00799617ca88e1910557e4f8e67cf444658ad2fdff8867dd15614237", "created_at": "2026-11-01T19:02:55Z", "updated_at": "2026-11-01T22:10:43Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "SEL1L3 as a link molecular between renal cell carcinoma and atherosclerosis based on bioinformatics analysis and experimental verification.", "doi": "10.18632/aging.205227", "pmid": "37993256", "authors": ["Haoyuan Wang", "Xiaopeng Ma", "Sijie Li", "Xiaochen Ni"], "journal": "Aging", "year": 2023, "abstract": "BACKGROUND: Renal cancer, the most common type of kidney cancer, develops in the renal tubular epithelium. Atherosclerosis of the aorta is the primary cause of atherosclerosis. However, the underlying mechanisms remain unclear.\nMETHODS: The renal clear cell carcinoma RNA sequence profile was obtained from The Cancer Genome Atlas (TCGA) database, and the atherosclerosis datasets GSE28829 and GSE43292 based on GPL570 and GPL6244 was obtained from the Gene Expression Omnibus (GEO) database. The difference and hub genes were identified by the Limma protein-protein interaction (PPI) network in R software. Functional enrichment, survival, and immunoinfiltration analyses were performed. The role of SEL1L3 in the ErbB/PI3K/mTOR signaling pathway, apoptosis, invasion, cell cycle, and inflammation was analyzed using western blotting.\nRESULTS: 764 DEGs were identified from TCGA Kidney Renal Clear Cell Carcinoma (KIRC) dataset. A total of 344 and 117 DEGs were screened from the GSE14762 and GSE53757 datasets, respectively. Functional enrichment analysis results primarily indicated enrichment in the transporter complex, DNA-binding transcription activator activity, morphogenesis of the embryonic epithelium, stem cell proliferation, adrenal overactivity and so on. Fifteen common DEGs overlapped among the three datasets. The PPI network revealed that SEL1L3 was the core gene. Survival analysis showed that lower SEL1L3 expression levels led to a worse prognosis. Immune cell infiltration analysis showed that SEL1L3 expression was significantly correlated with antibody-drug conjugates (aDC), B cells, eosinophils, interstitial dendritic cells (iDC), macrophages, and more.\nCONCLUSIONS: SEL1L3 plays an important role in renal clear cell carcinoma and atherosclerosis and may be a potential link between them.", "claims": [{"id": "claim-method", "statement": "Patients with lower SEL1L3 expression had poorer overall survival (log-rank p =0.028, Figure 5B).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37993256", "locator": "sections[8] \"Survival analysis\" paragraph 2", "quote": "Patients with lower SEL1L3 expression had poorer overall survival (log-rank p =0.028, Figure 5B)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37993256", "locator": "sections[26] \"Data availability statement\" paragraph 2", "quote": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Patients with lower SEL1L3 expression had poorer overall survival (log-rank p =0.028, Figure 5B).", "kind": "quantitative", "target": {"value": 0.028, "unit": "p-value", "tolerance": null, "source": "Patients with lower SEL1L3 expression had poorer overall survival (log-rank p =0.028, Figure 5B)."}, "evidence": [{"asset": "source:pmid:37993256", "locator": "sections[8] \"Survival analysis\" paragraph 2", "quote": "Patients with lower SEL1L3 expression had poorer overall survival (log-rank p =0.028, Figure 5B)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Patients with lower SEL1L3 expression had poorer overall survival (log-rank p =0.028, Figure 5B).", "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:37993256"], "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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