<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>29(7)</volume><submitter>Yao Z</submitter><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&lt;sup>+&lt;/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:</pubmed_abstract><journal>Journal of cellular and molecular medicine</journal><pagination>e70525</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11955421</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Unravelling Cancer Immunity: Coagulation.Sig and BIRC2 as Predictive Immunotherapeutic Architects.</pubmed_title><pmcid>PMC11955421</pmcid><pubmed_authors>Yao Z</pubmed_authors><pubmed_authors>Fan J</pubmed_authors><pubmed_authors>He J</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Xue L</pubmed_authors><pubmed_authors>Bai Y</pubmed_authors><pubmed_authors>Zhang R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Unravelling Cancer Immunity: Coagulation.Sig and BIRC2 as Predictive Immunotherapeutic Architects.</name><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&lt;sup>+&lt;/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:</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Apr</publication><modification>2026-04-08T18:57:25.551Z</modification><creation>2025-07-13T03:04:08.48Z</creation></dates><accession>S-EPMC11955421</accession><cross_references><pubmed>40159652</pubmed><doi>10.1111/jcmm.70525</doi></cross_references></HashMap>