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pmid:36769510
Construction and Verification of the Molecular Subtype and a Novel Prognostic Signature Based on Inflammatory Response-Related Genes in Uveal Melanoma.
Feng Zhang · Yan Deng · Dong Wang · Shuai Wang
Journal of clinical medicine · 2023 doi:10.3390/jcm12030861
Paper
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Experiment
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Data
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Analysis
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Complete file
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This study aimed to construct and validate the molecular subtype and a novel prognostic signature based on inflammatory response-related genes in uveal melanoma (UM). Patients from the TCGA, GSE84976, and GSE22138 UM cohorts were enrolled. According to the consensus cluster analysis, patients were divided into two molecular subtypes, namely IC1 and IC2. Survival curves showed that patients in IC1 had a better prognosis. The IC2 subgroup had higher levels of immune cell infiltration and more enriched immunological pathways. There were statistical differences in the immune-inflammation microenvironment, immune checkpoint genes expression, and drug sensitivity. The prognostic signature constructed based on inflammatory response-related genes exhibited a stable predictive power. Multivariate analysis confirmed that the signature was a prognostic factor independent of clinical characteristics. Functional analyses showed that the high-risk group was associated with immunological response, inflammatory cell activation, and tumor-related signal pathways. The riskscore had a negative relationship with tumor purity and was positively correlated with immune and stromal scores. Furthermore, the prognostic signature could sensitively predict the response to drug treatments. In conclusion, the prognostic signature might aid in stratifying patients at risk premised on the prognosis and immunotherapy sensitivity.", "claims": [{"id": "claim-method", "statement": "Subsequently, to investigate if the predictive signature was independent of clinicopathological characteristics for predicting clinical outcome, univariate and multivariate analyses were conducted after merging the riskscore and clinical variables documented in all cohorts.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36769510", "locator": "sections[20] \"3.7. 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