Neoepitope load, T cell signatures and PD-L2 as combined biomarker strategy for response to checkpoint inhibition immunotherapy.

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Bibliographic Details
Title: Neoepitope load, T cell signatures and PD-L2 as combined biomarker strategy for response to checkpoint inhibition immunotherapy.
Authors: Borch A; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Bjerregaard AM; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.; Department of Bioinformatics and Datamining, Novo Nordisk, Bagsvaerd, Denmark., Araujo Barbosa de Lima V; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Østrup O; Center for Genomic Medicine, Rigshospitalet, Copenhagen, Denmark., Yde CW; Center for Genomic Medicine, Rigshospitalet, Copenhagen, Denmark., Eklund AC; Clinical Microbiomics A/S, Copenhagen, Denmark., Mau-Sørensen M; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Barra C; Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, Lyngby, Denmark., Svane IM; National Center for Cancer Immune Therapy, Copenhagen University Hospital, Herlev, Denmark., Nielsen FC; Center for Genomic Medicine, Rigshospitalet, Copenhagen, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark., Funt SA; Weill Cornell Medical College, New York, NY, United States., Lassen U; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Hadrup SR; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Source: Frontiers in genetics [Front Genet] 2023 Mar 23; Vol. 14, pp. 1058605. Date of Electronic Publication: 2023 Mar 23 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-8021
DOI:10.3389/fgene.2023.1058605