<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13</volume><submitter>Zhou Y</submitter><pubmed_abstract>Cutaneous melanoma (CM) is an aggressive form of malignancy with poor prognostic value. Cuproptosis is a novel type of cell death regulatory mechanism in tumors. However, the role of cuproptosis-related long noncoding RNAs (lncRNAs) in CM remains elusive. The cuproptosis-related lncRNAs were identified using the Pearson correlation algorithm. Through the univariate and multivariate Cox regression analysis, the prognosis of seven lncRNAs associated with cuproptosis was established and a new risk model was constructed. ESTIMATE, CIBERSORT, and single sample gene set enrichment analyses (ssGSEA) were applied to evaluate the immune microenvironment landscape. The Kaplan-Meier survival analysis revealed that the overall survival (OS) of CM patients in the high-risk group was remarkably lower th</pubmed_abstract><journal>Frontiers in genetics</journal><pagination>959456</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9354044</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A novel risk model based on cuproptosis-related lncRNAs predicted prognosis and indicated immune microenvironment landscape of patients with cutaneous melanoma.</pubmed_title><pmcid>PMC9354044</pmcid><pubmed_authors>Shu Q</pubmed_authors><pubmed_authors>Li J</pubmed_authors><pubmed_authors>Wang C</pubmed_authors><pubmed_authors>Fu Z</pubmed_authors><pubmed_authors>Xie M</pubmed_authors><pubmed_authors>Gu J</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>A novel risk model based on cuproptosis-related lncRNAs predicted prognosis and indicated immune microenvironment landscape of patients with cutaneous melanoma.</name><description>Cutaneous melanoma (CM) is an aggressive form of malignancy with poor prognostic value. Cuproptosis is a novel type of cell death regulatory mechanism in tumors. However, the role of cuproptosis-related long noncoding RNAs (lncRNAs) in CM remains elusive. The cuproptosis-related lncRNAs were identified using the Pearson correlation algorithm. Through the univariate and multivariate Cox regression analysis, the prognosis of seven lncRNAs associated with cuproptosis was established and a new risk model was constructed. ESTIMATE, CIBERSORT, and single sample gene set enrichment analyses (ssGSEA) were applied to evaluate the immune microenvironment landscape. The Kaplan-Meier survival analysis revealed that the overall survival (OS) of CM patients in the high-risk group was remarkably lower th</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2026-07-14T15:59:17.385Z</modification><creation>2025-02-19T04:54:04.299Z</creation></dates><accession>S-EPMC9354044</accession><cross_references><pubmed>35938036</pubmed><doi>10.3389/fgene.2022.959456</doi></cross_references></HashMap>