<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Li Y</submitter><funding>National Natural Science Foundation of China</funding><funding>National Natural Science Foundation of China (NSFC)</funding><funding>National Key Research and Development Program of China (NKPs)</funding><funding>National Key Research and Development Program of China</funding><pagination>2495-2514</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12163602</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>31(12)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>To identify the specific intratumoral and microenvironmental heterogeneity of acral melanoma (AM) and mucosal melanoma (MM), we aimed to delineate their distinct cellular compositions, evolutionary trajectories, and subtype-specific therapeutic strategies.&lt;h4>Experimental design&lt;/h4>Single-cell transcriptomic and genomic landscapes were analyzed across 42 melanoma (28 AM, 11 MM, and 3 nonacral cutaneous melanoma) samples, supplemented by in vitro and in vivo validation. Tumor and stromal cells were profiled using single-cell RNA sequencing, whole-exome sequencing, and functional assays, including transwell migration, co-culture systems, and xenograft models.&lt;h4>Results&lt;/h4>Tumor cells exhibited divergent evolutionary routes, with MM dominated by MGP+/PCOLCE+ subpopulations </pubmed_abstract><journal>Clinical cancer research : an official journal of the American Association for Cancer Research</journal><pubmed_title>Single-Cell Transcriptomic Landscape Deciphers Intratumoral Heterogeneity and Subtypes of Acral and Mucosal Melanomas.</pubmed_title><pmcid>PMC12163602</pmcid><funding_grant_id>2021YFA1101000</funding_grant_id><funding_grant_id>2021YFA1101004</funding_grant_id><funding_grant_id>U21A20379</funding_grant_id><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Jia D</pubmed_authors><pubmed_authors>Chen J</pubmed_authors><pubmed_authors>Ma X</pubmed_authors><pubmed_authors>Wei Z</pubmed_authors><pubmed_authors>Zhang R</pubmed_authors><pubmed_authors>Yu H</pubmed_authors><pubmed_authors>Wang K</pubmed_authors><pubmed_authors>Cui R</pubmed_authors><pubmed_authors>Qian W</pubmed_authors><pubmed_authors>Ren G</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Li T</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Cui Z</pubmed_authors><pubmed_authors>Chen W</pubmed_authors><pubmed_authors>Miao X</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Song X</pubmed_authors><pubmed_authors>Shi J</pubmed_authors><pubmed_authors>Xu Z</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors><pubmed_authors>Goding CR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Single-Cell Transcriptomic Landscape Deciphers Intratumoral Heterogeneity and Subtypes of Acral and Mucosal Melanomas.</name><description>&lt;h4>Purpose&lt;/h4>To identify the specific intratumoral and microenvironmental heterogeneity of acral melanoma (AM) and mucosal melanoma (MM), we aimed to delineate their distinct cellular compositions, evolutionary trajectories, and subtype-specific therapeutic strategies.&lt;h4>Experimental design&lt;/h4>Single-cell transcriptomic and genomic landscapes were analyzed across 42 melanoma (28 AM, 11 MM, and 3 nonacral cutaneous melanoma) samples, supplemented by in vitro and in vivo validation. Tumor and stromal cells were profiled using single-cell RNA sequencing, whole-exome sequencing, and functional assays, including transwell migration, co-culture systems, and xenograft models.&lt;h4>Results&lt;/h4>Tumor cells exhibited divergent evolutionary routes, with MM dominated by MGP+/PCOLCE+ subpopulations </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jun</publication><modification>2026-06-02T22:28:46.031Z</modification><creation>2026-04-21T03:13:34.368Z</creation></dates><accession>S-EPMC12163602</accession><cross_references><pubmed>40192737</pubmed><doi>10.1158/1078-0432.CCR-24-3164</doi></cross_references></HashMap>