<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zierfuss C</submitter><funding>Bundesministerium für Digitalisierung und Wirtschaftsstandort</funding><funding>Christian Doppler Research Association</funding><funding>Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung</funding><pagination>105939</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12804612</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Response prediction to immune checkpoint inhibitors (ICIs) relies on tumor-specific biomarkers, while patient-specific characteristics are underrepresented. Therefore, we explored patient-specific immunological characteristics, including peripheral monocytes, myeloid-derived suppressor cells (MDSCs), T cells, and the T-cell receptor (TCR) repertoire, to investigate associations with survival and therapy response.&lt;h4>Patients and methods&lt;/h4>Patients with solid tumors were prospectively recruited to explore the association of absolute lymphocyte and monocyte counts, leukocyte-to-lymphocyte ratio (LLR), and monocyte-to-lymphocyte ratio (MLR) with overall survival (OS). Monocytes, MDSCs, T cells, and the TCR repertoire were characterized before therapy start (baseline) and,</pubmed_abstract><journal>ESMO open</journal><pubmed_title>Predictive potential of patient-specific immunological characteristics in solid cancers: circulating monocytes, myeloid-derived suppressor cells, T cells, and the T-cell receptor repertoire.</pubmed_title><pmcid>PMC12804612</pmcid><funding_grant_id>CD10271101</funding_grant_id><pubmed_authors>Sunder-Plassmann V</pubmed_authors><pubmed_authors>Furtner J</pubmed_authors><pubmed_authors>Ay C</pubmed_authors><pubmed_authors>Heller G</pubmed_authors><pubmed_authors>Dobrovits N</pubmed_authors><pubmed_authors>Starzer AM</pubmed_authors><pubmed_authors>Korpan M</pubmed_authors><pubmed_authors>Wolfsberg J</pubmed_authors><pubmed_authors>Preusser M</pubmed_authors><pubmed_authors>Fendl B</pubmed_authors><pubmed_authors>Grohmannova M</pubmed_authors><pubmed_authors>Berghoff AS</pubmed_authors><pubmed_authors>Berger JM</pubmed_authors><pubmed_authors>Gottmann L</pubmed_authors><pubmed_authors>Kleinberger M</pubmed_authors><pubmed_authors>Furst J</pubmed_authors><pubmed_authors>Tomasich E</pubmed_authors><pubmed_authors>Zierfuss C</pubmed_authors><pubmed_authors>Niederdorfer B</pubmed_authors><pubmed_authors>Kohl L</pubmed_authors><pubmed_authors>Solano Henao I</pubmed_authors><pubmed_authors>Sybock K</pubmed_authors><pubmed_authors>Schedl J</pubmed_authors><pubmed_authors>Vladic N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predictive potential of patient-specific immunological characteristics in solid cancers: circulating monocytes, myeloid-derived suppressor cells, T cells, and the T-cell receptor repertoire.</name><description>&lt;h4>Background&lt;/h4>Response prediction to immune checkpoint inhibitors (ICIs) relies on tumor-specific biomarkers, while patient-specific characteristics are underrepresented. Therefore, we explored patient-specific immunological characteristics, including peripheral monocytes, myeloid-derived suppressor cells (MDSCs), T cells, and the T-cell receptor (TCR) repertoire, to investigate associations with survival and therapy response.&lt;h4>Patients and methods&lt;/h4>Patients with solid tumors were prospectively recruited to explore the association of absolute lymphocyte and monocyte counts, leukocyte-to-lymphocyte ratio (LLR), and monocyte-to-lymphocyte ratio (MLR) with overall survival (OS). Monocytes, MDSCs, T cells, and the TCR repertoire were characterized before therapy start (baseline) and,</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-06-13T05:27:07.042Z</modification><creation>2026-06-13T03:09:06.137Z</creation></dates><accession>S-EPMC12804612</accession><cross_references><pubmed>41478086</pubmed><doi>10.1016/j.esmoop.2025.105939</doi></cross_references></HashMap>