<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Nayak I</submitter><funding>NIAID NIH HHS</funding><funding>National Institutes of Health</funding><funding>CRUK Cancer Research UK</funding><funding>NIH HHS</funding><pagination>192-212</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11792776</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>103(2)</volume><pubmed_abstract>Natural killer (NK) cells are emerging agents for cancer therapy. Several different cytokines are used to generate NK cells for adoptive immunotherapy including interleukin (IL)-2, IL-12, IL-15 and IL-18 in solution, and membrane-bound IL-21. These cytokines drive NK cell activation through the integration of signal transducers and activators of transcription (STAT) and nuclear factor-kappa B (NF-κB) pathways, which overlap and synergize, making it challenging to predict optimal cytokine combinations for both proliferation and cytotoxicity. We integrated functional assays for NK cells cultured in a variety of cytokine combinations with mathematical modeling using feature selection and mechanistic regression models. Our regression model successfully predicts NK cell proliferation for differ</pubmed_abstract><journal>Immunology and cell biology</journal><pubmed_title>Modeling the response to interleukin-21 to inform natural killer cell immunotherapy.</pubmed_title><pmcid>PMC11792776</pmcid><funding_grant_id>HUNTER HCC expediter network award (C9380/A18084)</funding_grant_id><funding_grant_id>R56 AI146581</funding_grant_id><funding_grant_id>R01 AI146581</funding_grant_id><funding_grant_id>R01-AI 146581</funding_grant_id><funding_grant_id>R01‐AI 146581</funding_grant_id><pubmed_authors>Biondo R</pubmed_authors><pubmed_authors>Fulton RJ</pubmed_authors><pubmed_authors>Khakoo SI</pubmed_authors><pubmed_authors>Moker N</pubmed_authors><pubmed_authors>Nayak I</pubmed_authors><pubmed_authors>Stewart WC</pubmed_authors><pubmed_authors>Zhang C</pubmed_authors><pubmed_authors>Das J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Modeling the response to interleukin-21 to inform natural killer cell immunotherapy.</name><description>Natural killer (NK) cells are emerging agents for cancer therapy. Several different cytokines are used to generate NK cells for adoptive immunotherapy including interleukin (IL)-2, IL-12, IL-15 and IL-18 in solution, and membrane-bound IL-21. These cytokines drive NK cell activation through the integration of signal transducers and activators of transcription (STAT) and nuclear factor-kappa B (NF-κB) pathways, which overlap and synergize, making it challenging to predict optimal cytokine combinations for both proliferation and cytotoxicity. We integrated functional assays for NK cells cultured in a variety of cytokine combinations with mathematical modeling using feature selection and mechanistic regression models. Our regression model successfully predicts NK cell proliferation for differ</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Feb</publication><modification>2026-05-02T03:45:26.295Z</modification><creation>2025-04-04T07:26:03.623Z</creation></dates><accession>S-EPMC11792776</accession><cross_references><pubmed>39865344</pubmed><doi>10.1111/imcb.12848</doi></cross_references></HashMap>