Identification and Validation of a Novel Necroptosis-Related Long Noncoding RNA Prognostic Signature for Lung Adenocarcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36330457", "kind": "science-record", "revision": 4, "content_hash": "sha256:88d01bfa717f592ea8fb2e7a50ae3d25d90a4c4fbe5ab1f7098cc3a297924378", "created_at": "2026-11-01T18:15:46Z", "updated_at": "2026-11-01T22:08:01Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Validation of a Novel Necroptosis-Related Long Noncoding RNA Prognostic Signature for Lung Adenocarcinoma.", "doi": "10.1155/2022/9710540", "pmid": "36330457", "authors": ["Cheng Zeng", "Huayi Yu", "Xiuling Liu", "Qian Liu", "Jianhua Jin"], "journal": "BioMed research international", "year": 2022, "abstract": "Background: Several cancers, including lung adenocarcinoma (LUAD), are caused by genes related to necroptosis. However, it is still unknown how necroptosis-related long noncoding RNAs (lncRNAs) may be involved in LUAD. In order to predict the prognosis of LUAD patients and personalize immunotherapy, this study set out to construct a necroptosis-related lncRNA prognostic signature (NLPS).\nMethods: The Cancer Genome Atlas (TCGA) database was used to download the LUAD transcriptome data and the associated clinical data. lncRNAs associated with necroptosis were screened using coexpression analysis. An NLPS was built using univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses. The Gene Expression Omnibus (GEO) database's GSE30219 was used to validate the NLPS. The prognostic value of the risk score was assessed using Kaplan-Meier survival, receiver operating characteristic (ROC) Cox regression, multivariate Cox regression, and nomogram analyses. Then, we looked into the differences between the low- and high-risk groups in the tumor immune microenvironment, immunotherapy response, and half-maximal inhibitory concentration (IC50).\nResults: The 14 lncRNAs in a novel NLPS were created. With further validation in the GSE30219 dataset, the risk score according to the NLPS was an independent prognostic indicator for LUAD patients. Patients with better overall survival (OS) in the low-risk group, who were characterized by increased immune cell infiltration, tumor mutational burden (TMB), and immunophenoscore (IPS), may have hot tumors and higher immunotherapy response rates. In addition, the risk score was also closely linked to sensitivity to various anticancer medications.\nConclusions: We constructed a novel NLPS that could predict OS and sensitivity to immunotherapy in LUAD patients.", "claims": [{"id": "claim-method", "statement": "In the training and validation cohorts, univariate and multivariate Cox regression analyses were carried out to determine if the risk score based on the NLPS could be considered an independent prognostic factor for LUAD patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36330457", "locator": "sections[6] \"2.4. 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The Risk Score Is an Independent Prognostic Factor\" paragraph 2", "quote": "Multivariate Cox regression analysis verified that the risk score was an independent prognostic factor in LUAD patients (HR = 3.128, 2.211-4.424, P < 0.001) (Figure 6(b))."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Multivariate Cox regression analysis verified that the risk score was an independent prognostic factor in LUAD patients (HR = 3.128, 2.211-4.424, P < 0.001) (Figure 6(b)).", "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:36330457"], "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": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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