Evidence map›Paper›PMID 41493661›Full record

ReviewMolecular biology reports2026

Neoantigen-driven cancer vaccines in personalized oncology: progress, obstacles, and translational prospects.

N Prabhu, V Rajinikanth, Mathiyazhagan Narayanan

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

N PrabhuDepartment of Biotechnology, Research and Innovations, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Thandalam, Chennai, 602 105, Tamil Nadu, India.
V RajinikanthDepartment of Biotechnology, Research and Innovations, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Thandalam, Chennai, 602 105, Tamil Nadu, India.
Mathiyazhagan NarayananDepartment of Biotechnology, Research and Innovations, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Thandalam, Chennai, 602 105, Tamil Nadu, India. mathimicro@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Antigens, NeoplasmCancer VaccinesNeoplasmsPrecision MedicineHigh-Throughput Nucleotide SequencingHumansImmunotherapyMedical OncologyTranslational Research, BiomedicalAntigens, NeoplasmCancer VaccinesCancer immunotherapyNeoantigensPersonalized vaccinesT cell responseTumor-Specific antigens

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.