{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhu C"],"funding":["Wu Jieping Medical Foundation","National Natural Science Foundation of China"],"pagination":["102671"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12903197"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["65"],"pubmed_abstract":["<h4>Background</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.<h4>Methods</h4>The heterogeneity of TAMs was detected by integration analyses of single-cell data and spatial transcriptome data. The CTSB<sup>+</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<sup>+</sup> TAMs in LUAD.<h4>Results</h4>Single-cell analysis identified CTSB⁺ TAM as a crucial player in LUA"],"journal":["Translational oncology"],"pubmed_title":["CTSB-positive tumor-associated macrophages shape prognosis and therapeutic response in lung adenocarcinoma."],"pmcid":["PMC12903197"],"funding_grant_id":["320.6750.2025-13-26","82003235"],"pubmed_authors":["Ding X","Tian M","Zhang Z","Xue N","Liang L","Mei D","Sun X","Zhu C"],"additional_accession":[]},"is_claimable":false,"name":"CTSB-positive tumor-associated macrophages shape prognosis and therapeutic response in lung adenocarcinoma.","description":"<h4>Background</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.<h4>Methods</h4>The heterogeneity of TAMs was detected by integration analyses of single-cell data and spatial transcriptome data. The CTSB<sup>+</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<sup>+</sup> TAMs in LUAD.<h4>Results</h4>Single-cell analysis identified CTSB⁺ TAM as a crucial player in LUA","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Mar","modification":"2026-07-15T15:39:20.926Z","creation":"2026-07-06T03:11:58.836Z"},"accession":"S-EPMC12903197","cross_references":{"pubmed":["41520491"],"doi":["10.1016/j.tranon.2026.102671"]}}