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Published on: November 17, 2018
Main Strategies for the Identification of Neoantigens
Alexander V Gopanenko1, Ekaterina N Kosobokova1, Vyacheslav S Kosorukov1
1N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of the Russian Federation, 115478 Moscow, Russia.
Abstract:
Genetic instability of tumors leads to the appearance of numerous tumor-specific somatic mutations that could potentially result in the production of mutated peptides that are presented on the cell surface by the MHC molecules. Peptides of this kind are commonly called neoantigens. Their presence on the cell surface specifically distinguishes tumors from healthy tissues. This feature makes neoantigens a promising target for immunotherapy. The rapid evolution of high-throughput genomics and proteomics makes it possible to implement these techniques in clinical practice. In particular, they provide useful tools for the investigation of neoantigens. The most valuable genomic approach to this problem is whole-exome sequencing coupled with RNA-seq. High-throughput mass-spectrometry is another option for direct identification of MHC-bound peptides, which is capable of revealing the entire MHC-bound peptidome. Finally, structure-based predictions could significantly improve the understanding of physicochemical and structural features that affect the immunogenicity of peptides. The development of pipelines combining such tools could improve the accuracy of the peptide selection process and decrease the required time. Here we present a review of the main existing approaches to investigating the neoantigens and suggest a possible ideal pipeline that takes into account all modern trends in the context of neoantigen discovery.
Insights
Tumor-specific mutations create neoantigens, which are unique targets for cancer immunotherapy. This review explores methods for identifying neoantigens, aiming to improve cancer treatment strategies.
Area of Science:
- Oncology
- Immunology
- Bioinformatics
Background:
- Genetic instability in tumors generates unique mutations.
- These mutations can lead to tumor-specific peptides called neoantigens.
- Neoantigens distinguish cancer cells from healthy cells, making them promising immunotherapy targets.
Purpose of the Study:
- To review current methods for neoantigen investigation.
- To propose an optimized pipeline for neoantigen discovery.
Main Methods:
- Whole-exome sequencing (WES) combined with RNA-sequencing (RNA-seq).
- High-throughput mass spectrometry for direct identification of MHC-bound peptides.
- Structure-based predictions to analyze peptide immunogenicity.
Main Results:
- Genomic and proteomic technologies enable neoantigen identification.
- Integrated approaches enhance the accuracy and speed of neoantigen selection.
- Understanding peptide features improves immunogenicity assessment.
Conclusions:
- Neoantigens represent a key target for developing novel cancer immunotherapies.
- Combining multiple advanced techniques offers a powerful strategy for neoantigen discovery.
- An optimized pipeline can accelerate the clinical application of neoantigen-based treatments.
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