<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>26(1)</volume><submitter>Qiu S</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Tumor-associated macrophages (TAMs) comprise heterogeneous subtypes with context-dependent functions in tumor immunity. Although macrophage senescence influences diverse diseases, its role in neuroblastoma (NB) progression remains undefined.&lt;h4>Methods&lt;/h4>Single-cell RNA sequencing (scRNA-seq) data from NB samples (GEO: GSE147766) were analyzed to identify TAM subtypes. Senescence-associated signatures were characterized via pseudotime trajectory, cell-cell communication, and functional assays. A prognostic model was developed using Cox/LASSO regression and validated in independent cohorts (TARGET-NBL, E-MTAB-8248). Drug sensitivity and immune microenvironment differences were compared between risk groups. In vitro validation assessed EIF5's role in TAM senescence and N</pubmed_abstract><journal>BMC cancer</journal><pagination>180</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12870523</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Integrative analysis of single-cell and bulk RNA sequencing data for discovery of senescent TAMs prognostic characteristics in neuroblastoma.</pubmed_title><pmcid>PMC12870523</pmcid><pubmed_authors>Hu Y</pubmed_authors><pubmed_authors>Qiu S</pubmed_authors><pubmed_authors>Yin Q</pubmed_authors><pubmed_authors>Xian H</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrative analysis of single-cell and bulk RNA sequencing data for discovery of senescent TAMs prognostic characteristics in neuroblastoma.</name><description>&lt;h4>Background&lt;/h4>Tumor-associated macrophages (TAMs) comprise heterogeneous subtypes with context-dependent functions in tumor immunity. Although macrophage senescence influences diverse diseases, its role in neuroblastoma (NB) progression remains undefined.&lt;h4>Methods&lt;/h4>Single-cell RNA sequencing (scRNA-seq) data from NB samples (GEO: GSE147766) were analyzed to identify TAM subtypes. Senescence-associated signatures were characterized via pseudotime trajectory, cell-cell communication, and functional assays. A prognostic model was developed using Cox/LASSO regression and validated in independent cohorts (TARGET-NBL, E-MTAB-8248). Drug sensitivity and immune microenvironment differences were compared between risk groups. In vitro validation assessed EIF5's role in TAM senescence and N</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-07-15T06:18:54.159Z</modification><creation>2026-06-30T03:22:56.397Z</creation></dates><accession>S-EPMC12870523</accession><cross_references><pubmed>41491450</pubmed><doi>10.1186/s12885-025-15517-7</doi></cross_references></HashMap>