Evidence map›Paper›PMID 40309350›Full record

ReviewExploration of targeted anti-tumor therapy2025

Neoantigen-based immunotherapy: advancing precision medicine in cancer and glioblastoma treatment through discovery and innovation.

Moawiah M Naffaa, Ola A Al-Ewaidat, Sopiko Gogia, Valiko Begiashvili

Abstract readReview
In one paragraph

Review in Exploration of targeted anti-tumor therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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  4. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
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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

4 authors.

Moawiah M NaffaaDepartment of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0003-0451-5901
Ola A Al-EwaidatDepartment of Internal Medicine, Ascension Saint Francis Hospital, Evanston, IL 60202, USA.ORCID https://orcid.org/0000-0001-6438-7855
Sopiko GogiaDepartment of Internal Medicine, Ascension Saint Francis Hospital, Evanston, IL 60202, USA.ORCID https://orcid.org/0000-0002-7744-5089
Valiko BegiashviliDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66103, USA.ORCID https://orcid.org/0009-0003-0221-589X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoantigen-based immunotherapy has emerged as a transformative approach in cancer treatment, offering precision medicine strategies that target tumor-specific antigens derived from genetic, transcriptomic, and proteomic alterations unique to cancer cells. These neoantigens serve as highly specific targets for personalized therapies, promising more effective and tailored treatments. The aim of this article is to explore the advances in neoantigen-based therapies, highlighting successful treatments such as vaccines, tumor-infiltrating lymphocyte (TIL) therapy, T-cell receptor-engineered T cells therapy (TCR-T), and chimeric antigen receptor T cells therapy (CAR-T), particularly in cancer types like glioblastoma (GBM). Advances in technologies such as next-generation sequencing, RNA-based platforms, and CRISPR gene editing have accelerated the identification and validation of neoantigens, moving them closer to clinical application. Despite promising results, challenges such as tumor heterogeneity, immune evasion, and resistance mechanisms persist. The integration of AI-driven tools and multi-omic data has refined neoantigen discovery, while combination therapies are being developed to address issues like immune suppression and scalability. Additionally, the article discusses the ongoing development of personalized immunotherapies targeting tumor mutations, emphasizing the need for continued collaboration between computational and experimental approaches. Ultimately, the integration of cutting-edge technologies in neoantigen research holds the potential to revolutionize cancer care, offering hope for more effective and targeted treatments.

Indexed as

AI-driven toolscancerCAR-TglioblastomaNeoantigen-based immunotherapyprecision medicinetumor-infiltrating lymphocyte therapytumor microenvironment

Identifiers

PMID40309350
PMCPMC12040680

What OpenQuestion holds

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LicenceCC BY
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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.