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Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo
Published on: January 7, 2019
Development and Clinical Applications of Therapeutic Cancer Vaccines with Individualized and Shared Neoantigens
Qing Hao1, Yuhang Long1, Yi Yang1
1State Key Laboratory of Biotherapy and Cancer Center, Department of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
Abstract:
Neoantigens, presented as peptides on the surfaces of cancer cells, have recently been proposed as optimal targets for immunotherapy in clinical practice. The promising outcomes of neoantigen-based cancer vaccines have inspired enthusiasm for their broader clinical applications. However, the individualized tumor-specific antigens (TSA) entail considerable costs and time due to the variable immunogenicity and response rates of these neoantigens-based vaccines, influenced by factors such as neoantigen response, vaccine types, and combination therapy. Given the crucial role of neoantigen efficacy, a number of bioinformatics algorithms and pipelines have been developed to improve the accuracy rate of prediction through considering a series of factors involving in HLA-peptide-TCR complex formation, including peptide presentation, HLA-peptide affinity, and TCR recognition. On the other hand, shared neoantigens, originating from driver mutations at hot mutation spots (e.g., KRASG12D), offer a promising and ideal target for the development of therapeutic cancer vaccines. A series of clinical practices have established the efficacy of these vaccines in patients with distinct HLA haplotypes. Moreover, increasing evidence demonstrated that a combination of tumor associated antigens (TAAs) and neoantigens can also improve the prognosis, thus expand the repertoire of shared neoantigens for cancer vaccines. In this review, we provide an overview of the complex process involved in identifying personalized neoantigens, their clinical applications, advances in vaccine technology, and explore the therapeutic potential of shared neoantigen strategies.
Insights
Neoantigen cancer vaccines show promise but face challenges. Shared neoantigens offer a more cost-effective and efficient strategy for cancer immunotherapy development.
Area of Science:
- Immunology
- Oncology
- Bioinformatics
Background:
- Neoantigens are peptides on cancer cells, emerging as key targets for cancer immunotherapy.
- Neoantigen-based vaccines demonstrate promising clinical outcomes, driving enthusiasm for wider applications.
- Individualized tumor-specific antigens (TSA) present challenges in cost and time due to variable immunogenicity.
Purpose of the Study:
- To review the identification of personalized neoantigens and their clinical applications.
- To explore advances in cancer vaccine technology and therapeutic potential.
- To highlight the role of shared neoantigens in cancer vaccine development.
Main Methods:
- Bioinformatics algorithms predict neoantigen efficacy by analyzing HLA-peptide-TCR complex formation.
- Factors considered include peptide presentation, HLA-peptide affinity, and T-cell receptor recognition.
- Review of existing clinical practices and evidence on neoantigen-based therapies.
Main Results:
- Bioinformatics tools improve the accuracy of neoantigen prediction.
- Shared neoantigens, derived from common driver mutations, are effective vaccine targets across different HLA types.
- Combination therapies involving tumor-associated antigens (TAAs) and neoantigens can improve patient prognosis.
Conclusions:
- Personalized neoantigen identification is complex but crucial for effective immunotherapy.
- Shared neoantigens represent a promising avenue for developing broadly applicable and cost-effective cancer vaccines.
- Further research into shared neoantigens and combination strategies can expand therapeutic options for cancer patients.
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