<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zeng J</submitter><funding>the Science Foundation of Guangdong Second Provincial General Hospital</funding><funding>Talents&amp;apos; plan Foundation of Guangdong Second Provincial General Hospital</funding><funding>Guangzhou Basic Research Plan Jointly the City, School</funding><pagination>e0336502</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12643271</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>20(11)</volume><pubmed_abstract>Melanoma brain metastasis (MBM) remains lethal with limited treatment efficacy. Meanwhile, the cellular origins and drivers of brain metastasis from melanoma have yet to be defined. Through integrated single-cell/single-nucleus RNA sequencing of 26 melanoma samples, we identified a pre-brain-metastatic tumor subpopulation (MBMATCs, MBM-associated tumor cells) within a conserved malignant cell trajectory (Mela3). MBMATCs exhibited activated pro-metastatic pathways and upregulated neural/adhesion genes (NRG3, NCAM1), suggesting a cellular origin for brain tropism. MBM ecosystems showed T cell exhaustion (elevated PD-1, HAVCR2, LAG3) and Treg enrichment. An MBM-Index derived from bulk RNA-seq accurately quantifies MBMATCs abundance, independently predicting poor overall survival in both TCGA-SKCM and validation cohorts. Furthermore, we assessed the clinical relevance of the MBM-Index and uncovered five candidate drugs with potential activity against MBMATCs. This study identifies MBMATCs as brain metastasis associated tumor cells and positions the MBM-Index as a biomarker for early stratification of melanoma patients at high risk of brain metastasis.</pubmed_abstract><journal>PloS one</journal><pubmed_title>Single-cell transcriptomics profiling reveals cellular origins and molecular drivers underlying melanoma brain metastasis.</pubmed_title><pmcid>PMC12643271</pmcid><funding_grant_id>No.2024A03J0483</funding_grant_id><funding_grant_id>No.2024B003</funding_grant_id><funding_grant_id>No.YQ2020-001</funding_grant_id><pubmed_authors>Luo Q</pubmed_authors><pubmed_authors>Wen J</pubmed_authors><pubmed_authors>Huang W</pubmed_authors><pubmed_authors>Zeng J</pubmed_authors><pubmed_authors>Ma Y</pubmed_authors><pubmed_authors>Lin L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Single-cell transcriptomics profiling reveals cellular origins and molecular drivers underlying melanoma brain metastasis.</name><description>Melanoma brain metastasis (MBM) remains lethal with limited treatment efficacy. Meanwhile, the cellular origins and drivers of brain metastasis from melanoma have yet to be defined. Through integrated single-cell/single-nucleus RNA sequencing of 26 melanoma samples, we identified a pre-brain-metastatic tumor subpopulation (MBMATCs, MBM-associated tumor cells) within a conserved malignant cell trajectory (Mela3). MBMATCs exhibited activated pro-metastatic pathways and upregulated neural/adhesion genes (NRG3, NCAM1), suggesting a cellular origin for brain tropism. MBM ecosystems showed T cell exhaustion (elevated PD-1, HAVCR2, LAG3) and Treg enrichment. An MBM-Index derived from bulk RNA-seq accurately quantifies MBMATCs abundance, independently predicting poor overall survival in both TCGA-SKCM and validation cohorts. Furthermore, we assessed the clinical relevance of the MBM-Index and uncovered five candidate drugs with potential activity against MBMATCs. This study identifies MBMATCs as brain metastasis associated tumor cells and positions the MBM-Index as a biomarker for early stratification of melanoma patients at high risk of brain metastasis.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-05-21T03:12:24.75Z</modification><creation>2026-05-21T03:10:57.504Z</creation></dates><accession>S-EPMC12643271</accession><cross_references><pubmed>41284647</pubmed><doi>10.1371/journal.pone.0336502</doi></cross_references></HashMap>