Evidence map›Paper›PMID 40943226›Full record

ReviewInternational journal of molecular sciences2025

Comparison of Current Immunotherapy Approaches and Novel Anti-Cancer Vaccine Modalities for Clinical Application.

Elaine Meade, Mary Garvey

Abstract readReviewComparative Study
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

2 authors.

Elaine MeadeDepartment of Life Science, Atlantic Technological University, F91 YW50 Sligo, Ireland.
Mary GarveyDepartment of Life Science, Atlantic Technological University, F91 YW50 Sligo, Ireland.ORCID 0000-0003-1240-5315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite improved diagnostic and treatment protocols, cancer remains a leading cause of morbidity and mortality globally. There are increasing rates of certain cancer types, including the highly drug-resistant colorectal cancer, in younger population cohorts. Therapeutic advances in oncology have led to the application of immunotherapy-based agents, including checkpoint inhibitors, antibodies, and adoptive cell therapies. Such immunotherapy approaches are greatly hindered by the tumour microenvironment and lack of specificity. Therapeutic vaccines are an innovative and rapidly advancing area of oncology, having potential for application as mono- and combined therapy in clinical settings, offering long term efficacy against disease recurrence. Advances in vaccine production using gene editing and bioprocessing techniques allows for novel vaccine types, including protein-based subunit vaccines, virus-like particle vaccines, and viral vector- and nucleic acid-based (RNA and DNA) vaccines. Cancer vaccines are designed to deliver specific tumour antigens, which activate anti-cancer cytotoxic T cells and helper T cells to produce immune memory, providing long term anti-cancer action. When coupled with advances in machine learning and artificial intelligence, anti-cancer vaccines may revolutionise oncology protocols and improve patient prognosis. This review aims to discuss current immunotherapy options in cancer treatment and recent advances in anti-cancer vaccine modalities.

Indexed as

Cancer VaccinesImmunotherapyNeoplasmsAnimalsAntigens, NeoplasmHumansTumor MicroenvironmentAntigens, NeoplasmCancer Vaccinesanti-cancerimmunotherapyneoantigensnucleic acid therapeuticsoncologyvaccine

Identifiers

PMID40943226
PMCPMC12427729

What OpenQuestion holds

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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.