Aug 2026· Cancer Treatment and Research Communications· Vol 48, pp.
101358
· 1 citation· 53 references
Medicine
TL;DR
The strongest current signal supports use in adjuvant, perioperative, and minimal residual disease settings, usually in combination with checkpoint blockade or other immune-modifying strategies, usually in combination with checkpoint blockade or other immune-modifying strategies.
Abstract
Neoantigen vaccines have become a central direction in precision cancer immunotherapy because they aim to target tumor-specific peptide sequences generated by somatic alterations rather than self-antigens shared with normal tissues. This biological distinction reduces the barrier of central tolerance and creates a rational basis for individualized T-cell priming. The field has also changed technically. Tumor-normal sequencing, transcriptomic filtering, HLA typing, immunopeptidomics, and algorithmic prioritization now make it possible to move from a patient tumor sample to a ranked set of candidate vaccine targets within a clinically meaningful interval. Because durable vaccine responses frequently depend on CD4-positive T-cell help, we also give explicit attention to HLA class II prediction, which remains substantially less accurate than class I prediction. Among available delivery formats, mRNA platforms have become especially important because they can encode multiple patient-specific epitopes in a single product and can be redesigned rapidly as prediction and delivery methods improve, although synthetic long peptide, dendritic cell, viral vector, and DNA platforms retain specific advantages that we compare directly. This review re-examines neoantigen vaccines as a translational system rather than as a single technology. We first outline the biological basis of neoantigen recognition and classify the major antigen sources. We then discuss target discovery, HLA-restricted presentation, computational ranking, immunopeptidomic evidence, and functional validation. Next, we compare vaccine platforms, with particular emphasis on why personalized mRNA vaccines now dominate late-stage clinical development. Finally, we analyze current clinical evidence in melanoma, pancreatic ductal adenocarcinoma, renal cell carcinoma, glioblastoma, and other solid tumors-reporting primary efficacy endpoints, hazard ratios, patient numbers, and follow-up durations where available-and we identify the main barriers that still prevent broad clinical implementation. In our assessment-offered as an expert interpretation rather than as a conclusion derived from comparative or pooled analyses, because the supporting evidence still rests largely on single-arm and early-phase trials in heterogeneous tumor types-the strongest current signal supports use in adjuvant, perioperative, and minimal residual disease settings, usually in combination with checkpoint blockade or other immune-modifying strategies. Neoantigen vaccination is unlikely to become a universal standalone therapy. Its more realistic value is as a programmable immune-priming component within precision oncology.
Clinical progress and key translational barriers in personalized neoantigen vaccination are summarized, and AI-enabled approaches may contribute across four major stages: multi-omics integration for neoantigen discovery, processing-aware HLA presentation prediction, structure-aware and TCR-informed immunogenicity model...
Chun-Yu Wei, Hsuan-Chao Lin, Changping Wu et al.· Journal of Biomedical Scienc...· 0 citations
It is proposed that the future maturation of PCVs will require a coordinated process across five interconnected dimensions: advances in neoantigen prediction technologies, rapid delivery of PCVs to patients, an increase in anticancer efficacy through combination therapy strategies, establishment of cost-effective manuf...
Seongje Cho, Jisun Lee, Young-Min Lee et al.· Experimental and Molecular M...· 0 citations
This review summarizes how AI is reshaping neoantigen discovery, from somatic variant calling, HLA typing, and peptide processing to peptide–MHC binding, presentation, and T cell recognition, and demonstrates that integrating features of antigen processing, presentation, and TCR recognition can eliminate the majority o...
Atefeh Bakhshian, Sajjad Ghorghanlu, Fereshteh Fallah Atanaki et al.· Journal of Translational Med...· 0 citations
Overall, cancer vaccines are unlikely to become universal stand-alone treatments for advanced solid tumors, and their most credible role may emerge in molecularly selected patients, adjuvant therapy, minimal residual disease, virus-associated malignancies, and rational combinations with checkpoint inhibitors or tumor m...
D. Rusciano· Frontiers in Cell and Develo...· 1 citation
The ideological structure introduces the integration of mRNA vaccines with car-T cells and monoclonal antibodies to remove tumor immune resistance, and presents an accurate algorithm, taking advantage of scRNA-seq for patient-specific neostagen selection, and highlights the benefits of saRNA in increasing antigen expre...