{"doi":"10.1002/adhm.202500551","title":"Dendrimer Conjugates with PD‐L1‐Binding Peptides Enhance In Vivo Antitumor Immune Response","abstract":"Peptides are an emerging class of biologics for cancer immunotherapy; however, their clinical translation is hindered by poor binding kinetics, bioavailability, and short plasma half-life compared to their corresponding antibodies. Nanoparticles present potential solutions but face scale-up difficulties due to complexity. Here, a translatable, modular nanoparticle scaffold is presented for peptide-based immune checkpoint inhibitors (ICIs). This platform is based on a simple structure of generation 7 (G7) poly(amidoamine) (PAMAM) dendrimers conjugated with engineered peptides (dendrimer-peptide conjugates, DPCs). DPCs functionalized with multiple copies of a programmed death-ligand 1 (PD-L1)-binding peptide exhibited significantly enhanced avidity-based binding kinetics and in vitro specificity, in addition to the substantially prolonged plasma half-life in vivo. Notably, a series of in vivo experiments revealed that DPCs displayed selective tumor accumulation and high efficacy, without apparent toxicity, when applied to a syngeneic mouse model bearing mouse oral carcinoma (MOC1) tumors. The results indicate that the DPC platform significantly improves the antagonistic effect and in vivo behaviors of the PD-L1-binding peptides, which can be potentially applied to virtually any peptide-based ICIs. The DPC platform's simplicity and modular nature will likely increase the potential of its clinical translation and ultimately enable precision/personalized cancer immunotherapy.","journal":"Advanced Healthcare Materials","year":2025,"id":513294,"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":0.9465,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":935116,"name":"Jin Woong Lee","orcid":"0000-0002-8253-8677","position":1,"is_corresponding":false},{"id":875090,"name":"Piper A. Rawding","orcid":"0000-0002-9233-9700","position":2,"is_corresponding":false},{"id":301096,"name":"Mari Iida","orcid":"0000-0001-7168-8680","position":3,"is_corresponding":false},{"id":1262464,"name":"Carter Kim","orcid":null,"position":4,"is_corresponding":false},{"id":311715,"name":"Kourtney L. Kostecki","orcid":"0000-0003-2289-5194","position":5,"is_corresponding":false},{"id":465307,"name":"Michael J. Poellmann","orcid":"0000-0002-0085-3957","position":6,"is_corresponding":false},{"id":1232589,"name":"Bridget E. Crossman","orcid":"0009-0006-8274-9104","position":7,"is_corresponding":false},{"id":1374974,"name":"Ashley S. Liu","orcid":null,"position":8,"is_corresponding":false},{"id":1067796,"name":"Young Soo Kim","orcid":"0000-0001-5029-7082","position":9,"is_corresponding":false},{"id":301097,"name":"Deric L. Wheeler","orcid":"0000-0001-5915-3675","position":10,"is_corresponding":false},{"id":12354,"name":"Seungpyo Hong","orcid":"0000-0001-9870-031X","position":11,"is_corresponding":false},{"id":892620,"name":"DaWon Kim","orcid":"0000-0002-8912-7096","position":0,"is_corresponding":true}],"reference_count":64,"raw_metadata":null,"created_at":"2026-07-19T02:48:17.908238Z","pmid":"40244214","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":[]}