ReviewInternational journal of molecular sciences2024
Tumor-Derived Antigenic Peptides as Potential Cancer Vaccines.
Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- mRNA-based immunotherapy improves the efficacy of adoptively transferred TCR transgenic T cells in a murine solid tumour model.Scientific reports · 2026Article
- Combined Tumor Cell and Lysate-Based Vaccines for Immunotherapy of Primary and Recurrent Glioblastoma (GBM).Cancers · 2025Review
- Biomaterials nanoplatform-based tumor vaccines for immunotherapy.Bioactive materials · 2025Review
- Nanovaccine targeting in colorectal cancer: a multi-dataset analysis of CEA expression, cytokine profiles, and co-expressed genes.Medicine and pharmacy reports · 2025Article
- Strategies for neoantigen screening and immunogenicity validation in cancer immunotherapy (Review).International journal of oncology · 2025Review
- Signature Gene Mutations in Colorectal Cancer: Potential Neoantigens for Cancer Vaccines.International journal of molecular sciences · 2025Review
- Recent Advances in the Development and Efficacy of Anti-Cancer Vaccines-A Narrative Review.Vaccines · 2025Review
- Conjugation with S4 protein transduction domain enhances the immunogenicity of the peptide vaccine against breast cancer.Molecular and clinical oncology · 2025Article
- Development of a multi-neoepitope vaccine targeting non-small cell lung cancer through reverse vaccinology and bioinformatics approaches.Frontiers in immunology · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Peptide antigens derived from tumors have been observed to elicit protective immune responses, categorized as either tumor-associated antigens (TAAs) or tumor-specific antigens (TSAs). Subunit cancer vaccines incorporating these antigens have shown promise in inducing protective immune responses, leading to cancer prevention or eradication. Over recent years, peptide-based cancer vaccines have gained popularity as a treatment modality and are often combined with other forms of cancer therapy. Several clinical trials have explored the safety and efficacy of peptide-based cancer vaccines, with promising outcomes. Advancements in techniques such as whole-exome sequencing, next-generation sequencing, and in silico methods have facilitated the identification of antigens, making it increasingly feasible. Furthermore, the development of novel delivery methods and a deeper understanding of tumor immune evasion mechanisms have heightened the interest in these vaccines among researchers. This article provides an overview of novel insights regarding advancements in the field of peptide-based vaccines as a promising therapeutic avenue for cancer treatment. It summarizes existing computational methods for tumor neoantigen prediction, ongoing clinical trials involving peptide-based cancer vaccines, and recent studies on human vaccination experiments.
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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.