Evidence map›Paper›PMID 42347585›Full record

ReviewVaccines2026

Nanotechnology-Based Cancer Vaccines: Translational Barriers and Emerging Strategies.

Muneera Anwer, Rifat Rahman

Abstract readReview
In one paragraph

Review in Vaccines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Muneera AnwerSchool of Pharmacy and Medical Sciences, Griffith University, Gold Coast, QLD 4215, Australia.ORCID 0000-0001-8603-0486
Rifat RahmanSchool of Pharmacy and Medical Sciences, Griffith University, Gold Coast, QLD 4215, Australia.ORCID 0000-0003-2425-0365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer vaccines represent a promising strategy in cancer immunotherapy by inducing tumour-specific immune responses. However, their clinical efficacy remains limited due to challenges in antigen selection, including the distinction between self and non-self-antigens, as well as issues related to antigen delivery, immune activation, and tumour immune evasion. Advances in nanotechnology have introduced innovative approaches to improve vaccine stability, targeted delivery, and immunogenicity. Nanoparticle-based platforms, including lipid, polymeric, inorganic nanoparticles, and virus-like particles, enable efficient delivery of tumour antigens and immunostimulatory adjuvants to antigen-presenting cells, thereby enhancing adaptive immune responses. Despite these advances, several translational challenges persist, including immunosuppressive tumour microenvironments, inefficient lymph node targeting, safety concerns, and manufacturing limitations. This review summarizes key nanoparticle platforms used in cancer vaccine development and discusses major barriers to their clinical translation. We also emphasize platform-selection criteria, cargo-dependent carrier design, nanoparticle size constraints, engineering strategies used to improve cytosolic delivery and endosomal escape, and the current clinical pipeline of cancer nanovaccines. Additionally, emerging strategies such as personalized nanovaccines, mRNA vaccine platforms, and combination immunotherapies are highlighted as promising approaches to improve therapeutic efficacy. These advances are expected to accelerate the clinical translation of nanotechnology-enabled cancer vaccines and support the development of next-generation cancer immunotherapies.

Indexed as

cancer vaccinescombination immunotherapymRNA vaccinesnanoparticle delivery systemsnanotechnologypersonalized nanovaccinestranslational barriers

Identifiers

PMID42347585
PMCPMC13308163

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.