ReviewNature biotechnology2026
The promises and challenges of neoantigen cancer vaccines.
Review in Nature biotechnology, 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.
- Artificial intelligence for translational personalized neoantigen cancer vaccine development.Journal of biomedical science · 2026Review
- Advances in Therapeutic Melanoma Vaccines (2010-2025).Vaccines · 2026Review
- Artificial intelligence in peptide cancer vaccine design: from neoantigen discovery to immunogenicity prediction.Frontiers in genetics · 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
1 author.
Funding
Abstract
Transformational advances in genomic sequencing capabilities, vastly improved HLA class I epitope prediction algorithms and powerful delivery platforms have facilitated the clinical development of vaccines targeting neoantigens encoded by tumor mutations. Early clinical trials indicate that vaccination against neoantigens can induce robust and durable T cell immunity that may persist for decades. mRNA vaccines, originally developed for cancer applications, have demonstrated considerable promise due to their efficacy and scalable production, as evidenced during the SARS-CoV-2 pandemic. However, the optimal cancer vaccine platform and delivery strategy is not yet known, as current approaches have not been compared head-to-head and substantial technological advances to improve immunogenicity and potentially clinical efficacy are achievable. For example, lipid-based formulations, while necessary for the effective delivery of mRNA vaccines, may also improve the immunogenicity of peptides and other delivery strategies. Here we review the current state of neoantigen vaccines in the clinic and highlight emerging opportunities for advancement in the field.
Indexed as
Identifiers
41807825What 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.