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Tumor Immunotherapy01:27

Tumor Immunotherapy

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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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Current tools for predicting cancer-specific T cell immunity.

David Gfeller1, Michal Bassani-Sternberg2, Julien Schmidt3

  • 1Ludwig Center for Cancer Research, University of Lausanne, Epalinges, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland.

Oncoimmunology
|September 14, 2016
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Summary
This summary is machine-generated.

Cancer sequencing reveals tumor-specific mutations for personalized vaccines. Identifying neoantigens through advanced methods enhances immunotherapy potential for highly targeted cancer treatments.

Keywords:
CancerMHCT cellsexomemutationpeptidepeptidometranscriptome

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Area of Science:

  • Oncology
  • Immunology
  • Bioinformatics

Background:

  • Tumor exome and RNA sequencing offer comprehensive insights into cancer genetics and gene expression.
  • Understanding tumor-specific mutations is crucial for developing effective immunotherapies, particularly personalized cancer vaccines.
  • Neoantigens, derived from tumor mutations, are key targets for T cell-mediated tumor destruction.

Purpose of the Study:

  • To review recent advancements in identifying tumor antigens, focusing on neoantigen-derived MHC ligands.
  • To discuss technical progress in detecting MHC class I and class II-restricted tumor antigens.
  • To highlight methods for mining sequencing data for cancer immunotherapy targets.

Main Methods:

  • In silico prediction of potential neoantigens.
  • Immune-peptidome analysis utilizing mass spectrometry.
  • Biochemical validation of MHC ligands using T cell assays.

Main Results:

  • Review of current methodologies for neoantigen identification and validation.
  • Emphasis on the potential of neoantigen-specific T cells in cancer therapy.
  • Integration of sequencing data with analytical and validation techniques.

Conclusions:

  • Advanced sequencing and analytical techniques are crucial for identifying neoantigens.
  • Neoantigen-derived MHC ligands are promising targets for personalized cancer vaccines and immunotherapies.
  • Further research and technical refinement will enhance the efficacy of neoantigen-based cancer treatments.