ReviewMolecular biology reports2026
Neoantigen-driven cancer vaccines in personalized oncology: progress, obstacles, and translational prospects.
Review in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Neoantigen cancer vaccines for gastrointestinal tumors: opportunities and challenges.MedScience · 2026Review
- mRNA cancer vaccines: delivery strategies, immune modulation, and clinical translation.Frontiers in pharmacology · 2026Review
- Enhancing targeted strategies for cancer immunotherapy by elucidating mRNA processing mechanisms.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of neoantigen-based cancer vaccines has emerged as a groundbreaking approach in the field of personalized oncology. Neoantigens, originating from tumor-specific somatic mutations, possess considerable immunogenic potential and are absent in normal tissues, making them ideal candidates for eliciting targeted and enduring anti-tumor immune responses. Progress in next-generation sequencing, immunopeptidomics, and computational epitope prediction, has accelerated the identification and prioritization of patient-specific neoantigens, thereby facilitating the development of diverse vaccine platforms, including peptide, mRNA, DNA, and dendritic cell-based formulations. Initial clinical trials have demonstrated the safety, practicality, and immunogenicity of neoantigen vaccines in various cancers, producing promising therapeutic responses, particularly when combined with immune checkpoint inhibitors. Despite these advancements, substantial challenges-such as tumor heterogeneity, the accuracy of neoantigen prediction, immune evasion mechanisms, and manufacturing complexities-continue in impede widespread clinical application. This study provides a comprehensive analysis of neoantigen biology, advanced detection technologies, and delivery platforms, while meticulously assessing clinical outcomes, combinatorial strategies, and existing limitations. It also highlights new opportunities, such as the use of artificial intelligence and the mass production of vaccines. Neoantigen-based vaccines represent a significant breakthrough in cancer immunotherapy, offering highly individualized, tumor-targeted treatment strategies that could improve long-term patient survival.
Indexed as
Identifiers
41493661What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.