Neurotransmitter receptor-associated gene signature: prognostic and immunosuppressive microenvironment in NSCLC.

{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41492772", "kind": "science-record", "revision": 2, "content_hash": "sha256:2b642f8cd25d9052f3f53d1ed2803cfb8547bfa214660412222fc03d0109a2fe", "created_at": "2026-11-01T20:31:28Z", "updated_at": "2026-11-01T21:36:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Neurotransmitter receptor-associated gene signature: prognostic and immunosuppressive microenvironment in NSCLC.", "doi": "10.1080/20565623.2025.2610162", "pmid": "41492772", "authors": ["Yingyu Yang", "Aimin Ge", "Yaru Xu", "Jianbo Li", "Wenwen Shi", "Junling Wang", "Zhipeng Zhao"], "journal": "Future science OA", "year": 2026, "abstract": "OBJECTIVE: This study sought to identify neurotransmitter receptor-related genes (NR-RGs) that are critically involved in non-small cell lung cancer (NSCLC) through bioinformatics approaches.\nMETHODS: The TCGA-NSCLC dataset was utilized as the training cohort, while the GSE50081 dataset served as the validation cohort. NR-RGs were curated, and single-sample gene set enrichment analysis (ssGSEA) scores were computed. Subsequently, weighted gene co-expression network analysis (WGCNA) and functional enrichment analyses were conducted. A risk prediction model and a prognostic model were constructed based on identified gene signatures. Finally, a competing endogenous RNA (ceRNA) network was established, and gene expression levels were experimentally validated.\nRESULTS: 192 differentially expressed genes were identified as candidate NR-RGs. The risk model ultimately highlighted six genes: CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 as potential biomarkers. The prognostic model demonstrated robust predictive performance for patient outcomes. Immune infiltration analysis revealed a significant positive correlation between neutrophil abundance and the risk score. Expression analysis indicated that CPS1 and CALB2 were downregulated in NSCLC samples, whereas CDH17, NIPAL4, SOX2, and KREMEN2 were upregulated.\nCONCLUSION: The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting.", "claims": [{"id": "claim-method", "statement": "The R language’s WGCNA [25] package was used to perform WGCNA analysis for the 963 cancer samples in the training sets, to identify the key module.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41492772", "locator": "sections[8] \"Weighted gene co-expression network analysis (WGCNA)\" paragraph 2", "quote": "The R language’s WGCNA [25] package was used to perform WGCNA analysis for the 963 cancer samples in the training sets, to identify the key module."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analyzed during this study are included in this published article [and its supplementary information files].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41492772", "locator": "sections[35] \"Data availability statement\" paragraph 2", "quote": "All data generated or analyzed during this study are included in this published article [and its supplementary information files]."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41492772", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting.", "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:41492772"], "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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