{"doi":"10.17615/11h7-s671","title":"Characterization and Functional Analysis of scFv-based Chimeric Antigen Receptors to Redirect T Cells to IL13Rα2-positive Glioma","abstract":"Immunotherapy with T cells expressing chimeric antigen receptors (CARs) is an attractive approach to improve outcomes for patients with glioblastoma (GBM). IL13Rα2 is expressed at a high frequency in GBM but not in normal brain, making it a promising CAR T-cell therapy target. IL13Rα2-specific CARs generated up to date contain mutated forms of IL13 as an antigen-binding domain. While these CARs target IL13Rα2, they also recognize IL13Rα1, which is broadly expressed. To overcome this limitation, we constructed a panel of IL13Rα2-specific CARs that contain the IL13Rα2-specific single-chain variable fragment (scFv) 47 as an antigen binding domain, short or long spacer regions, a transmembrane domain, and endodomains derived from costimulatory molecules and CD3.ζ (IL13Rα2-CARs). IL13Rα2-CAR T cells recognized IL13Rα2-positive target cells in coculture and cytotoxicity assays with no cross-reactivity to IL13Rα1. However, only IL13Rα2-CAR T cells with a short spacer region produced IL2 in an antigen-dependent fashion. In vivo, T cells expressing IL13Rα2-CARs with short spacer regions and CD28.ζ, 41BB.ζ, and CD28.OX40.ζ endodomains had potent anti-glioma activity conferring a significant survival advantage in comparison to mice that received control T cells. Thus, IL13Rα2-CAR T cells hold the promise to improve current IL13Rα2-targeted immunotherapy approaches for GBM and other IL13Rα2-positive malignancies.","journal":"UNC Libraries","year":2020,"id":141734,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.955,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":20273,"name":"David Torres","orcid":"0000-0003-3023-5129","position":1,"is_corresponding":false},{"id":399685,"name":"Hao Liu","orcid":"0000-0003-0356-7478","position":2,"is_corresponding":false},{"id":84668,"name":"Gianpietro Dotti","orcid":null,"position":3,"is_corresponding":false},{"id":466119,"name":"Meng-Fen Wu","orcid":"0000-0001-7690-109X","position":4,"is_corresponding":false},{"id":5560,"name":"Xiao‐Nan Li","orcid":"0000-0002-6719-3789","position":5,"is_corresponding":false},{"id":424344,"name":"Simone Krebs","orcid":"0000-0002-9909-4531","position":6,"is_corresponding":false},{"id":3653,"name":"Stephen Gottschalk","orcid":"0000-0003-3991-7468","position":7,"is_corresponding":false},{"id":314555,"name":"Irina V. Balyasnikova","orcid":"0000-0002-4664-9441","position":8,"is_corresponding":false},{"id":291806,"name":"Maciej S. Lesniak","orcid":"0000-0002-0096-5107","position":9,"is_corresponding":false},{"id":260238,"name":"Giedre Krenciute","orcid":"0000-0003-4335-0644","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:17:27.861239Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}