Construction and validation of an angiogenesis-related lncRNA prognostic model in lung adenocarcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36999053", "kind": "science-record", "revision": 2, "content_hash": "sha256:8e5587ae8d1e778f9ee3369ae5794d20a0e5eb77b75a3da2deb31ae366bcd092", "created_at": "2026-11-01T19:01:39Z", "updated_at": "2026-11-01T21:30:28Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Construction and validation of an angiogenesis-related lncRNA prognostic model in lung adenocarcinoma.", "doi": "10.3389/fgene.2023.1083593", "pmid": "36999053", "authors": ["Quan Gong", "Xianda Huang", "Xiaobo Chen", "Lijuan Zhang", "Chunyan Zhou", "Shijuan Li", "Tingting Song", "Li Zhuang"], "journal": "Frontiers in genetics", "year": 2023, "abstract": "Background: There is increasing evidence that long non-coding RNAs (lncRNAs) can be used as potential prognostic factors for cancer. This study aimed to develop a prognostic model for lung adenocarcinoma (LUAD) using angiogenesis-related long non-coding RNAs (lncRNAs) as potential prognostic factors. Methods: Transcriptome data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed to identify aberrantly expressed angiogenesis-related lncRNAs in LUAD. A prognostic signature was constructed using differential expression analysis, overlap analysis, Pearson correlation analysis, and Cox regression analysis. The model's validity was assessed using K-M and ROC curves, and independent external validation was performed in the GSE30219 dataset. Prognostic lncRNA-microRNA (miRNA)-messenger RNA (mRNA) competing endogenous RNA (ceRNA) networks were identified. Immune cell infiltration and mutational characteristics were also analyzed. The expression of four human angiogenesis-associated lncRNAs was quantified using quantitative real-time PCR (qRT-PCR) gene arrays. Results: A total of 26 aberrantly expressed angiogenesis-related lncRNAs in LUAD were identified, and a Cox risk model based on LINC00857, RBPMS-AS1, SYNPR-AS1, and LINC00460 was constructed, which may be an independent prognostic predictor for LUAD. The low-risk group had a significant better prognosis and was associated with a higher abundance of resting immune cells and a lower expression of immune checkpoint molecules. Moreover, 105 ceRNA mechanisms were predicted based on the four prognostic lncRNAs. qRT-PCR results showed that LINC00857, SYNPR-AS1, and LINC00460 were significantly highly expressed in tumor tissues, while RBPMS-AS1 was highly expressed in paracancerous tissues. Conclusion: The four angiogenesis-related lncRNAs identified in this study could serve as a promising prognostic biomarker for LUAD patients.", "claims": [{"id": "claim-method", "statement": "Based on the TCGA-training set, Cox regression analysis was employed to screen variables associated with LUAD prognosis and construct a prognostic signature of lncRNAs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36999053", "locator": "sections[8] \"2.6 Construction, evaluation, and validation of the Cox risk model\" paragraph 2", "quote": "Based on the TCGA-training set, Cox regression analysis was employed to screen variables associated with LUAD prognosis and construct a prognostic signature of lncRNAs."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36999053", "locator": "sections[34] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A Cox risk model based on LINC00857, RBPMS-AS1, SYNPR-AS1, and LINC00460 was constructed, which may be an independent prognostic predictor for LUAD.", "kind": "quantitative", "target": {"value": 0.001, "unit": "p-value", "tolerance": null, "source": "As shown in Figure 5E, stage (p = 0.001) and risk score (p < 0.001) were identified as independent prognostic factors for LUAD."}, "evidence": [{"asset": "source:pmid:36999053", "locator": "sections[24] \"3.6 Risk score is an independent prognostic factor for LUAD\" paragraph 4", "quote": "As shown in Figure 5E, stage (p = 0.001) and risk score (p < 0.001) were identified as independent prognostic factors for LUAD."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A Cox risk model based on LINC00857, RBPMS-AS1, SYNPR-AS1, and LINC00460 was constructed, which may be an independent prognostic predictor for LUAD.", "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:36999053"], "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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