<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhang W</submitter><funding>National Natural Science Foundation of China</funding><funding>Shantou Science and Technology Project</funding><pagination>919145</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9539251</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Skin cutaneous melanoma (SKCM) is the world's fourth deadliest cancer, and advanced SKCM leads to a poor prognosis. Novel biomarkers for SKCM diagnosis and prognosis are urgently needed. Long non-coding RNAs (lncRNAs) provide various biological functions and have been proved to play a significant role in tumor progression. Single-cell RNA sequencing (scRNA-seq) enables genome analysis at the single-cell level. This study explored prognostic lncRNAs in SKCM based on scRNA-seq and bulk RNA sequencing data.&lt;h4>Materials and methods&lt;/h4>The TCGA cohort and melanoma samples in the GEO database (GSE72056, GSE19234, GSE15605, GSE7553, and GSE81383) were included in this study. Marker genes were filtered, and ensemble lncRNAs were annotated. The clinical significance of select</pubmed_abstract><journal>Frontiers in immunology</journal><pubmed_title>The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM.</pubmed_title><pmcid>PMC9539251</pmcid><funding_grant_id>82071101</funding_grant_id><funding_grant_id>82002068</funding_grant_id><funding_grant_id>[2019]10602</funding_grant_id><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Xie X</pubmed_authors><pubmed_authors>Huang Z</pubmed_authors><pubmed_authors>Tang S</pubmed_authors><pubmed_authors>Cheong KL</pubmed_authors><pubmed_authors>Zhong X</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors></additional><is_claimable>false</is_claimable><name>The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM.</name><description>&lt;h4>Introduction&lt;/h4>Skin cutaneous melanoma (SKCM) is the world's fourth deadliest cancer, and advanced SKCM leads to a poor prognosis. Novel biomarkers for SKCM diagnosis and prognosis are urgently needed. Long non-coding RNAs (lncRNAs) provide various biological functions and have been proved to play a significant role in tumor progression. Single-cell RNA sequencing (scRNA-seq) enables genome analysis at the single-cell level. This study explored prognostic lncRNAs in SKCM based on scRNA-seq and bulk RNA sequencing data.&lt;h4>Materials and methods&lt;/h4>The TCGA cohort and melanoma samples in the GEO database (GSE72056, GSE19234, GSE15605, GSE7553, and GSE81383) were included in this study. Marker genes were filtered, and ensemble lncRNAs were annotated. The clinical significance of select</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2026-04-08T18:00:40.523Z</modification><creation>2025-02-19T01:28:19.182Z</creation></dates><accession>S-EPMC9539251</accession><cross_references><pubmed>36211371</pubmed><doi>10.3389/fimmu.2022.919145</doi></cross_references></HashMap>