Melanoma-specific antigen-associated antitumor antibody reactivity as an immune-related biomarker for targeted

Annika Rähni1,2, Mariliis Jaago1,2, Helle Sadam1,2

  • 1Protobios Llc, Tallinn, Estonia.

Abstract

Insights

Predicting immunotherapy response is crucial. This study reveals that antibody epitope responses can serve as biomarkers to forecast anti-cancer immunity, aiding in personalized cancer treatment strategies.

Area of Science:

  • Oncology
  • Immunology
  • Biomarker Discovery

Background:

  • Immunotherapies like cancer vaccines and immune checkpoint inhibitors have revolutionized cancer care.
  • However, many patients exhibit resistance to these treatments, highlighting a need for predictive biomarkers.
  • Current research offers limited insights into predicting responses to precision immunotherapy.

Purpose of the Study:

  • To profile antibody responses and understand humoral immunity's role in targeted cancer therapies.
  • To investigate the utility of antibody epitopes as predictive biomarkers for immunotherapy response.
  • To compare immunogenicity across different targeted immune treatments.

Main Methods:

  • Utilized next-generation phage display mimotope variation analysis (MVA).
  • Analyzed antibody responses to anti-tumor dendritic cell vaccine (MelCancerVac®) and anti-PD-1 therapy (pembrolizumab).
  • Characterized antibody epitopes linked to melanoma-associated antigens and cancer-testis antigens (CTA).

Main Results:

  • Identified epitopes associated with antibody responses induced by MelCancerVac® in lung cancer.
  • Found that several identified epitopes correlated with strong immune responses in melanoma patients receiving anti-PD-1 therapy.
  • Demonstrated similarities and differences in tumor-specific immunogenicity between the two treatments.

Conclusions:

  • Antibody epitopes can serve as biomarkers for melanoma-associated immune responses.
  • These epitopes provide insights into cancer pathogenesis and molecular pathways.
  • Antibody epitope response shows potential for predicting immunotherapy-induced anti-cancer immunity.

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