<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yan D</submitter><funding>National Natural Science Foundation of China</funding><pagination>101488</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12818211</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(1)</volume><pubmed_abstract>Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy, however, their use is limited by heterogeneous and unpredictable immune-related adverse events (irAEs), which can progress to life-threatening conditions requiring intensive care unit (ICU) admission. Reliable biomarkers for predicting and stratifying ICU-level irAEs are urgently needed to improve immunotherapy safety and critical care management. Here, we performed comprehensive mass spectrometry-based proteomic profiling to identify plasma biomarkers for the prediction and monitoring of irAEs in 65 patients receiving ICI treatment. Our analysis identified 217 differentially abundant proteins and four co-expression modules related to humoral (antibody-mediated) and cellular (T cell-mediated) immunity spanning mild to </pubmed_abstract><journal>Molecular &amp; cellular proteomics : MCP</journal><pubmed_title>Plasma Proteome-Driven Liquid Biopsy for Individualized Monitoring and Risk Stratification of Immune-Related Adverse Events in Checkpoint Immunotherapy.</pubmed_title><pmcid>PMC12818211</pmcid><funding_grant_id>U20A20366</funding_grant_id><funding_grant_id>82472198</funding_grant_id><pubmed_authors>Zhou M</pubmed_authors><pubmed_authors>Wang C</pubmed_authors><pubmed_authors>Wang D</pubmed_authors><pubmed_authors>He X</pubmed_authors><pubmed_authors>Yan D</pubmed_authors><pubmed_authors>Zhu B</pubmed_authors><pubmed_authors>Yu K</pubmed_authors><pubmed_authors>Xu J</pubmed_authors><pubmed_authors>Xing Q</pubmed_authors></additional><is_claimable>false</is_claimable><name>Plasma Proteome-Driven Liquid Biopsy for Individualized Monitoring and Risk Stratification of Immune-Related Adverse Events in Checkpoint Immunotherapy.</name><description>Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy, however, their use is limited by heterogeneous and unpredictable immune-related adverse events (irAEs), which can progress to life-threatening conditions requiring intensive care unit (ICU) admission. Reliable biomarkers for predicting and stratifying ICU-level irAEs are urgently needed to improve immunotherapy safety and critical care management. Here, we performed comprehensive mass spectrometry-based proteomic profiling to identify plasma biomarkers for the prediction and monitoring of irAEs in 65 patients receiving ICI treatment. Our analysis identified 217 differentially abundant proteins and four co-expression modules related to humoral (antibody-mediated) and cellular (T cell-mediated) immunity spanning mild to </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T18:10:27.909Z</modification><creation>2026-06-04T03:11:03.515Z</creation></dates><accession>S-EPMC12818211</accession><cross_references><pubmed>41391830</pubmed><doi>10.1016/j.mcpro.2025.101488</doi></cross_references></HashMap>