{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nayak I"],"funding":["NIAID NIH HHS","National Institutes of Health","CRUK Cancer Research UK","NIH HHS"],"pagination":["192-212"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11792776"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["103(2)"],"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"],"journal":["Immunology and cell biology"],"pubmed_title":["Modeling the response to interleukin-21 to inform natural killer cell immunotherapy."],"pmcid":["PMC11792776"],"funding_grant_id":["HUNTER HCC expediter network award (C9380/A18084)","R56 AI146581","R01 AI146581","R01-AI 146581","R01‐AI 146581"],"pubmed_authors":["Biondo R","Fulton RJ","Khakoo SI","Moker N","Nayak I","Stewart WC","Zhang C","Das J"],"additional_accession":[]},"is_claimable":false,"name":"Modeling the response to interleukin-21 to inform natural killer cell immunotherapy.","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","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Feb","modification":"2026-05-02T03:45:26.295Z","creation":"2025-04-04T07:26:03.623Z"},"accession":"S-EPMC11792776","cross_references":{"pubmed":["39865344"],"doi":["10.1111/imcb.12848"]}}