ReviewVaccines2025
Personalized Cancer Vaccines: Current Advances and Emerging Horizons.
Review in Vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- mRNA Therapeutics Beyond Infectious Diseases: Expanding Therapeutic Applications and Future Perspectives.Immunity, inflammation and disease · 2026Review
- Past achievements and future perspectives of personalized vaccines and the role of dendritic cells.Immunologic research · 2026Review
- Review
- Cancer Vaccines in Genitourinary Malignancies: Current Advances and Future Directions.Vaccines · 2026Review
- AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.Archives of microbiology · 2026Review
- Harnessing Vaccines in the Treatment of Solid Tumors: Advances, Challenges, and Future Directions.Vaccines · 2026Review
- Biomarkers for predicting and monitoring the efficacy of cancer vaccines.Frontiers in oncology · 2026Review
- mRNA vaccines in oncology: personalized cancer immunization and neoantigen targeting.Molecular & cellular oncology · 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
Personalized cancer vaccines represent a revolutionary frontier in oncology, harnessing the unique genetic and molecular profile of individual tumors to elicit targeted immune responses. This review provides a comprehensive overview of the current landscape and future perspectives of neoantigen-based personalized cancer vaccines, encompassing peptide, mRNA, DNA, autologous dendritic cell, and viral or bacterial vector platforms. We further discuss the integration of immune adjuvants, delivery systems, and combinational strategies, particularly with immune checkpoint inhibitions, to overcome tumor-induced immune exhaustion and improve therapeutic efficacy. Despite significant clinical progress over the past decade in this space, major challenges remain in immunogenic neoantigens prediction, streamlining individualized vaccine manufacturing, and optimization of combinational regimens to maximize durable antitumor responses. By reviewing recent preclinical and clinical studies on neoantigen-based cancer vaccines, this review highlights key advances, identifies persistent translational bottlenecks, and underscores the need for biomarker-guided mechanistically informed trials to fully unleash the clinical potential of neoantigen-based personalized cancer vaccines in the era of precision immuno-oncology.
Indexed as
Identifiers
What 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.