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Updated: Jan 5, 2026

Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay
Published on: August 26, 2018
Identification of neoantigens derived from alternative splicing and RNA modification
Jiyeon Park1,2, Yeun-Jun Chung1,2,3
1Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Abstract:
The acquisition of somatic mutations is the most common event in cancer. Neoantigens expressed from genes with mutations acquired during carcinogenesis can be tumor-specific. Since the immune system recognizes tumor-specific peptides, they are potential targets for personalized neoantigen-based immunotherapy. However, the discovery of druggable neoantigens remains challenging, suggesting that a deeper understanding of the mechanism of neoantigen generation and better strategies to identify them will be required to realize the promise of neoantigen-based immunotherapy. Alternative splicing and RNA editing events are emerging mechanisms leading to neoantigen production. In this review, we outline recent work involving the large-scale screening of neoantigens produced by alternative splicing and RNA editing. We also describe strategies to predict and validate neoantigens from RNA sequencing data.
Insights
Cancer immunotherapy can target neoantigens from mutated genes. This review explores alternative splicing and RNA editing as sources of novel neoantigens and discusses methods for their identification using RNA sequencing.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Somatic mutations drive cancer development.
- Tumor-specific neoantigens, derived from mutated genes, are recognized by the immune system.
- Neoantigen-based immunotherapy holds promise for personalized cancer treatment but faces discovery challenges.
Purpose of the Study:
- To review recent advancements in neoantigen discovery.
- To highlight alternative splicing and RNA editing as key mechanisms of neoantigen generation.
- To describe strategies for predicting and validating neoantigens from RNA sequencing data.
Main Methods:
- Large-scale screening of neoantigens generated by alternative splicing.
- Analysis of neoantigens produced through RNA editing.
- Utilizing RNA sequencing data for neoantigen prediction and validation.
Main Results:
- Alternative splicing and RNA editing are significant contributors to neoantigen diversity.
- RNA sequencing provides a powerful tool for identifying novel neoantigens.
- Established strategies facilitate the prediction and validation of neoantigens.
Conclusions:
- Understanding neoantigen generation mechanisms is crucial for advancing cancer immunotherapy.
- Alternative splicing and RNA editing represent promising avenues for discovering new therapeutic targets.
- Improved strategies for neoantigen identification are essential for realizing the full potential of personalized neoantigen-based therapies.
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