{"doi":"10.1002/btm2.10639","title":"Photothermal Prussian blue nanoparticles generate potent multi‐targeted tumor‐specific T cells as an adoptive cell therapy","abstract":"Prussian blue nanoparticle-based photothermal therapy (PBNP-PTT) is an effective tumor treatment capable of eliciting an antitumor immune response. Motivated by the ability of PBNP-PTT to potentiate endogenous immune responses, we recently demonstrated that PBNP-PTT could be used ex vivo to generate tumor-specific T cells against glioblastoma (GBM) cell lines as an adoptive T cell therapy (ATCT). In this study, we further developed this promising T cell development platform. First, we assessed the phenotype and function of T cells generated using PBNP-PTT. We observed that PBNP-PTT facilitated CD8+ T cell expansion from healthy donor PBMCs that secreted IFNγ and TNFα and upregulated CD107a in response to engagement with target U87 cells, suggesting specific antitumor T cell activation and degranulation. Further, CD8+ effector and effector memory T cell populations significantly expanded after co-culture with U87 cells, consistent with tumor-specific effector responses. In orthotopically implanted U87 GBM tumors in vivo, PBNP-PTT-derived T cells effectively reduced U87 tumor growth and generated long-term survival in >80% of tumor-bearing mice by Day 100, compared to 0% of mice treated with PBS, non-specific T cells, or T cells expanded from lysed U87 cells, demonstrating an enhanced antitumor efficacy of this ATCT platform. Finally, we tested the generalizability of our approach by generating T cells targeting medulloblastoma (D556), breast cancer (MDA-MB-231), neuroblastoma (SH-SY5Y), and acute monocytic leukemia (THP-1) cell lines. The resulting T cells secreted IFNγ and exerted increased tumor-specific cytolytic function relative to controls, demonstrating the versatility of PBNP-PTT in generating tumor-specific T cells for ATCT.","journal":"Bioengineering & Translational Medicine","year":2023,"id":350658,"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":10,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9463,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1095060,"name":"Palak Sekhri","orcid":"0000-0001-8178-8562","position":1,"is_corresponding":false},{"id":484332,"name":"Nethaji Muniraj","orcid":"0000-0002-3820-2148","position":2,"is_corresponding":false},{"id":993693,"name":"Jie Chen","orcid":"0000-0002-2658-9525","position":3,"is_corresponding":false},{"id":1095474,"name":"Sally Feng","orcid":null,"position":4,"is_corresponding":false},{"id":1095475,"name":"Joshua Terao","orcid":null,"position":5,"is_corresponding":false},{"id":1095061,"name":"Samantha J. Chin","orcid":"0000-0002-1332-6873","position":6,"is_corresponding":false},{"id":1095476,"name":"Danielle E. Schmidt","orcid":null,"position":7,"is_corresponding":false},{"id":263322,"name":"Catherine M. Bollard","orcid":"0000-0001-5140-9090","position":8,"is_corresponding":false},{"id":263320,"name":"Carolina Colli Cruz","orcid":"0000-0001-7065-3769","position":9,"is_corresponding":false},{"id":311595,"name":"Rohan Fernandes","orcid":"0000-0001-9439-4626","position":10,"is_corresponding":false},{"id":462733,"name":"Elizabeth E. Sweeney","orcid":null,"position":0,"is_corresponding":true}],"reference_count":76,"raw_metadata":null,"created_at":"2026-07-19T01:12:37.409066Z","pmid":"38818122","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":[]}