Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/108859
Title: Improved survival of a HER2-positive metastatic breast cancer patient following a personalized peptide immunization
Author(s): Schönharting, Wolfgang
Roehnisch, Tim
Manoochehri, Mehdi
Christoph, JanLook up in the Integrated Authority File of the German National Library
Sieger, Marie
Nogueira, Mauro
Martos-Contreras, Mari Carmen
Kunz, MeikLook up in the Integrated Authority File of the German National Library
Issue Date: 2023
Type: Article
Language: English
Abstract: Cancer neoantigens that arise from somatic mutations have emerged as important targets for personalized immunization. Here, we report an improved overall survival of a HER2-positive metastatic breast cancer patient using a bioinformatic-based personalized peptide immunization called BITAP (BioInformatic Tumor Address Peptides). The epitopes were predicted using our in-house bioinformatic pipeline, and the immunogenicity was tested by IFN-γ ELISPOT and intracellular cytokine staining assays. In total, a significant peptide-specific T-cell response was detected against 18 out of the 76 (≈24%) tested peptides. The patient’s follow-up by measuring serologic markers showed a significant reduction in the tumor marker levels following BITAP immunization. Along with standard treatment, the patient treated with the BITAP showed stable disease with a remarkably improved overall survival, and no serious treatment-related adverse effects. In conclusion, our findings suggest that BITAP immunization is feasible, and safe, and may induce tumor regressions in patients with HER2-positive subsets of breast cancer.
URI: https://opendata.uni-halle.de//handle/1981185920/110814
http://dx.doi.org/10.25673/108859
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Vaccines
Publisher: MDPI
Publisher Place: Basel
Volume: 11
Issue: 6
Original Publication: 10.3390/vaccines11061023
Page Start: 1
Page End: 9
Appears in Collections:Open Access Publikationen der MLU

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