{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["29(7)"],"submitter":["Yao Z"],"pubmed_abstract":["Immune checkpoint inhibitors (ICIs) represent a groundbreaking advancement in cancer therapy, substantially improving patient survival rates. Our comprehensive research reveals a significant positive correlation between coagulation scores and immune-related gene expression across 30 diverse cancer types. Notably, tumours exhibiting high coagulation scores demonstrated enhanced infiltration of cytotoxic immune cells, including CD8<sup>+</sup> T cells, natural killer (NK) cells, and macrophages. Leveraging the TCGA pan-cancer database, we developed the Coagulation.Sig model, a sophisticated predictive framework utilising a coagulation-related genes (CRGs) to forecast immunotherapy outcomes. Through rigorous analysis of ten ICI-treated cohorts, we identified and validated seven critical CRGs:"],"journal":["Journal of cellular and molecular medicine"],"pagination":["e70525"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11955421"],"repository":["biostudies-literature"],"pubmed_title":["Unravelling Cancer Immunity: Coagulation.Sig and BIRC2 as Predictive Immunotherapeutic Architects."],"pmcid":["PMC11955421"],"pubmed_authors":["Yao Z","Fan J","He J","Zhang X","Xue L","Bai Y","Zhang R"],"additional_accession":[]},"is_claimable":false,"name":"Unravelling Cancer Immunity: Coagulation.Sig and BIRC2 as Predictive Immunotherapeutic Architects.","description":"Immune checkpoint inhibitors (ICIs) represent a groundbreaking advancement in cancer therapy, substantially improving patient survival rates. Our comprehensive research reveals a significant positive correlation between coagulation scores and immune-related gene expression across 30 diverse cancer types. Notably, tumours exhibiting high coagulation scores demonstrated enhanced infiltration of cytotoxic immune cells, including CD8<sup>+</sup> T cells, natural killer (NK) cells, and macrophages. Leveraging the TCGA pan-cancer database, we developed the Coagulation.Sig model, a sophisticated predictive framework utilising a coagulation-related genes (CRGs) to forecast immunotherapy outcomes. Through rigorous analysis of ten ICI-treated cohorts, we identified and validated seven critical CRGs:","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2026-04-08T18:57:25.551Z","creation":"2025-07-13T03:04:08.48Z"},"accession":"S-EPMC11955421","cross_references":{"pubmed":["40159652"],"doi":["10.1111/jcmm.70525"]}}