Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33014847", "kind": "science-record", "revision": 7, "content_hash": "sha256:2e312eb020113a289abdec3523f4c1c0c0bb6f465aac6f3b9dab4e513d410798", "created_at": "2026-11-01T15:41:12Z", "updated_at": "2026-11-01T22:02:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma.", "doi": "10.3389/fonc.2020.01710", "pmid": "33014847", "authors": ["Furong Zeng", "Juan Su", "Cong Peng", "Mengting Liao", "Shuang Zhao", "Ying Guo", "Xiang Chen", "Guangtong Deng"], "journal": "Frontiers in oncology", "year": 2020, "abstract": "Metabolic reprogramming is closely related to melanoma. However, the prognostic role of metabolism-related genes (MRGs) remains to be elucidated. We aimed to establish a nomogram by combining MRGs signature and clinicopathological factors to predict melanoma prognosis. Eighteen prognostic MRGs between melanoma and normal samples were identified using The Cancer Genome Atlas (TCGA) and GSE15605. WARS (HR = 0.881, 95% CI = 0.788-0.984, P = 0.025) and MGST1 (HR = 1.124, 95% CI = 1.007-1.255, P = 0.037) were ultimately identified as independent prognostic MRGs with LASSO regression and multivariate Cox regression. The MRGs signature was established according to these two genes and externally validated in the Gene Expression Omnibus (GEO) dataset. Kaplan-Meier survival analysis indicated that patients in the high-risk group had significantly poorer overall survival (OS) than those in the low-risk group. Furthermore, the MRGs signature was identified as an independent prognostic factor for melanoma survival. An MRGs nomogram based on the MRGs signature and clinicopathological factors was developed in TCGA cohort and validated in the GEO dataset. Calibration plots showed good consistency between the prediction of nomogram and actual observation. The receiver operating characteristic curve and decision curve analysis indicated that MRGs nomogram had better OS prediction and clinical net benefit than the stage system. To our knowledge, we are the first to develop a prognostic nomogram based on MRGs signature with better predictive power than the current staging system, which could assist individualized prognosis prediction and improve treatment.", "claims": [{"id": "claim-method", "statement": "A multivariate Cox regression analysis revealed that the MRGs signature was an independent prognostic factor (HR = 3.884, 95% CI = 2.236–6.746, P < 0.001; Figure 5E).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33014847", "locator": "sections[13] \"MRGs Signature Acts as an Independent Prognostic Predictor\" paragraph 2", "quote": "A multivariate Cox regression analysis revealed that the MRGs signature was an independent prognostic factor (HR = 3.884, 95% CI = 2.236–6.746, P < 0.001; Figure 5E)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation, to any qualified researcher.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33014847", "locator": "sections[17] \"Data Availability Statement\" paragraph 2", "quote": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation, to any qualified researcher."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:33014847"], "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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