<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhu C</submitter><funding>Wu Jieping Medical Foundation</funding><funding>National Natural Science Foundation of China</funding><pagination>102671</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12903197</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>65</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Lung adenocarcinoma (LUAD) remains a major clinical challenge in assessment of clinical outcomes and therapeutic response. Although tumor-associated macrophages (TAMs) are known as crucial regulators of tumor progression, their heterogeneity and prognostic relevance in LUAD have not been fully elucidated.&lt;h4>Methods&lt;/h4>The heterogeneity of TAMs was detected by integration analyses of single-cell data and spatial transcriptome data. The CTSB&lt;sup>+&lt;/sup> TAM-related signature (CTRS) was developed by machine learning algorithms across four LUAD datasets. Multi-omics analysis and functional experiments were applied to uncover the potential role and mechanism of CTSB&lt;sup>+&lt;/sup> TAMs in LUAD.&lt;h4>Results&lt;/h4>Single-cell analysis identified CTSB⁺ TAM as a crucial player in LUA</pubmed_abstract><journal>Translational oncology</journal><pubmed_title>CTSB-positive tumor-associated macrophages shape prognosis and therapeutic response in lung adenocarcinoma.</pubmed_title><pmcid>PMC12903197</pmcid><funding_grant_id>320.6750.2025-13-26</funding_grant_id><funding_grant_id>82003235</funding_grant_id><pubmed_authors>Ding X</pubmed_authors><pubmed_authors>Tian M</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Xue N</pubmed_authors><pubmed_authors>Liang L</pubmed_authors><pubmed_authors>Mei D</pubmed_authors><pubmed_authors>Sun X</pubmed_authors><pubmed_authors>Zhu C</pubmed_authors></additional><is_claimable>false</is_claimable><name>CTSB-positive tumor-associated macrophages shape prognosis and therapeutic response in lung adenocarcinoma.</name><description>&lt;h4>Background&lt;/h4>Lung adenocarcinoma (LUAD) remains a major clinical challenge in assessment of clinical outcomes and therapeutic response. Although tumor-associated macrophages (TAMs) are known as crucial regulators of tumor progression, their heterogeneity and prognostic relevance in LUAD have not been fully elucidated.&lt;h4>Methods&lt;/h4>The heterogeneity of TAMs was detected by integration analyses of single-cell data and spatial transcriptome data. The CTSB&lt;sup>+&lt;/sup> TAM-related signature (CTRS) was developed by machine learning algorithms across four LUAD datasets. Multi-omics analysis and functional experiments were applied to uncover the potential role and mechanism of CTSB&lt;sup>+&lt;/sup> TAMs in LUAD.&lt;h4>Results&lt;/h4>Single-cell analysis identified CTSB⁺ TAM as a crucial player in LUA</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Mar</publication><modification>2026-07-15T15:39:20.926Z</modification><creation>2026-07-06T03:11:58.836Z</creation></dates><accession>S-EPMC12903197</accession><cross_references><pubmed>41520491</pubmed><doi>10.1016/j.tranon.2026.102671</doi></cross_references></HashMap>