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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
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mRNA Multipeptide-HLA Class II Immunotherapy for Melanoma.

Apostolos P Georgopoulos1,2,3, Lisa M James1,2,4, Matthew Sanders1,2,3

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Cells
|September 26, 2025
PubMed
Summary
This summary is machine-generated.

Researchers identified 679 high-antigenicity epitopes from melanoma proteins that bind to Human Leukocyte Antigen Class II molecules. These peptide-HLA Class II complexes show promise for developing novel cancer vaccines and therapies.

Keywords:
Major Histocompatibility Complex (MHC)cancerhuman leukocyte antigen (HLA)immunotherapymelanomaneoantigens

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Experimental Melanoma Immunotherapy Model Using Tumor Vaccination with a Hematopoietic Cytokine
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Area of Science:

  • Immunology
  • Oncology
  • Computational Biology

Background:

  • Human Leukocyte Antigen (HLA) Class II molecules present peptides to CD4+ T cells, initiating immune responses.
  • High-affinity binding of peptides to HLA-II is crucial for T cell activation and subsequent immune functions.
  • Melanoma-associated proteins contain peptides with potential as antitumor agents when presented by HLA-II.

Purpose of the Study:

  • To computationally identify high-affinity peptide-HLA Class II (pHLA-II) complexes from melanoma-associated proteins.
  • To discover potent epitopes for developing novel cancer immunotherapies.

Main Methods:

  • In silico prediction of binding affinity (IC50) for all possible 15-mer peptides from 15 melanoma antigens against 192 common HLA-II molecules.
  • Analysis of 665,472 pHLA-II pairs to identify those with strong predicted binding affinity (PBBA IC50 < 50 nM).

Main Results:

  • Identified 5941 pHLA-II pairs with strong predicted binding affinity, representing 0.89% of all tested pairs.
  • These high-affinity binders originated from 117 HLA-II alleles and 679 distinct epitopes.
  • The identified epitopes and their corresponding HLA-II molecules are suitable for multipeptide vaccine development.

Conclusions:

  • The identified 679 high-antigenicity epitopes can be used to design effective cancer vaccines.
  • Administration of these epitopes, alone or with HLA-II molecules, can stimulate CD4+ T helper cells, augment CD8+ T cell functions, and induce antitumor antibodies.
  • This approach holds promise for treating melanoma and other solid tumors, potentially enhanced by immune checkpoint inhibitors.