A seven-long noncoding RNA signature predicts overall survival for patients with early stage non-small cell lung cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30205363", "kind": "science-record", "revision": 4, "content_hash": "sha256:c2519bda2baeea93a0ec57abef710d55e6d3c2f3349ba4f344a7832fa9ba951d", "created_at": "2026-11-01T17:32:22Z", "updated_at": "2026-11-01T22:43:31Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A seven-long noncoding RNA signature predicts overall survival for patients with early stage non-small cell lung cancer.", "doi": "10.18632/aging.101550", "pmid": "30205363", "authors": ["Ting Lin", "Yunong Fu", "Xing Zhang", "Jingxian Gu", "Xiaohua Ma", "Runchen Miao", "Xiaohong Xiang", "Wenquan Niu", "Kai Qu", "Chang Liu", "Qifei Wu"], "journal": "Aging", "year": 2018, "abstract": "Non-small cell lung cancer (NSCLC) is the most common cancer and cause of cancer-related mortality globally. Increasing evidence suggested that the long non-coding RNAs (lncRNAs) were involved in cancer-related death. To explore the possible prognostic lncRNA biomarkers for NSCLC patients, in the present study, we conducted a comprehensive lncRNA profiling analysis based on 1902 patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets. In the discovery phase, we employed 682 patients from the combination of four GEO datasets (GSE30219, GSE31546, GSE33745 and GSE50081) and conducted a seven-lncRNA formula to predict overall survival (OS). Next, we validated our risk-score formula in two independent datasets, TCGA (n=994) and GSE31210 (n=226). Stratified analysis revealed that the seven-lncRNA signature was significantly associated with OS in stage I patients from both discovery and validation groups (all P<0.001). Additionally, the prognostic value of the seven-lncRNA signature was also found to be favorable in patients carrying wild-type KRAS or EGFR. Bioinformatical analysis suggested that the seven-lncRNA signature affected patients' prognosis by influencing cell cycle-related pathways. In summary, our findings revealed a seven-lncRNA signature that predicted OS of NSCLC patients, especially in those with early tumor stage and carrying wild-type KRAS or EGFR.", "claims": [{"id": "claim-method", "statement": "The Kaplan-Meier method was used to assess the difference in survival time of high- and low- risk NSCLC patients. Difference of survival times between the two groups was considered as significant according to the P value of two-sided log-rank test less than 0.05.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30205363", "locator": "sections[13] \"Survival analysis\" paragraph 2", "quote": "The Kaplan-Meier method was used to assess the difference in survival time of high- and low- risk NSCLC patients. Difference of survival times between the two groups was considered as significant according to the P value of two-sided log-rank test less than 0.05."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were combined and used as the discovery group.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30205363", "locator": "sections[10] \"Sample sources and study design\" paragraph 2", "quote": "Four GEO datasets (GSE30219, GSE31546, GSE37745 and GSE50081) were combined and used as the discovery group."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Moreover, prognostic meta-analysis based on above three groups (n=1902) confirmed that the seven-lncRNA signature was a risk factor for NSCLC patients (combined HR=1.76, 95% CI= 1.26-2.47, P=0.001) (Figure 2D).", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Moreover, prognostic meta-analysis based on above three groups (n=1902) confirmed that the seven-lncRNA signature was a risk factor for NSCLC patients (combined HR=1.76, 95% CI= 1.26-2.47, P=0.001) (Figure 2D)."}, "evidence": [{"asset": "source:pmid:30205363", "locator": "sections[4] \"The prognostic values of seven-lncRNA signature in discovery and validation groups\" paragraph 2", "quote": "Moreover, prognostic meta-analysis based on above three groups (n=1902) confirmed that the seven-lncRNA signature was a risk factor for NSCLC patients (combined HR=1.76, 95% CI= 1.26-2.47, P=0.001) (Figure 2D)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Moreover, prognostic meta-analysis based on above three groups (n=1902) confirmed that the seven-lncRNA signature was a risk factor for NSCLC patients (combined HR=1.76, 95% CI= 1.26-2.47, P=0.001) (Figure 2D).", "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:30205363"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE30219"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE30219"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:30205363", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/aging.101550", "sha256": 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