Evidence map›Paper›PMID 42698927›Full record

ReviewFrontiers in cell and developmental biology2026

Mechanistic biomarkers for cancer vaccine development: from cancer cell biology to neoantigen-guided precision immunotherapy.

Dario Rusciano

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 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

1 author.

Dario RuscianoIndependent Researcher, Livorno, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer vaccines have resurged in oncology because they address a central question in precision medicine: whether the molecular identity of a tumor can be converted into an immune target that is both specific and clinically useful. Preventive vaccines against oncogenic viruses have already shown that immune intervention can reduce the burden of virus-associated cancers. Therapeutic cancer vaccines face a more difficult task, because established tumors arise from self-tissues, change over time, and often acquire mechanisms that limit antigen presentation, T-cell entry, or immune-mediated killing. This review examines cancer vaccines as biomarker-driven tools within precision oncology. The focus is not only on vaccine platforms, but on the biological requirements that make an antigen suitable for therapeutic targeting. Tumor-specific mutations, viral antigens, recurrent driver alterations, frameshift peptides, cancer-testis antigens, and personalized neoantigens may all provide vaccine targets, but their presence alone is not enough. A clinically relevant vaccine antigen should be expressed by tumor cells, processed and presented through HLA molecules, recognized by functional T cells, and sufficiently retained during tumor evolution. This distinction is particularly important because sequencing and computational prediction now generate many candidate neoantigens whose immunological relevance still requires experimental confirmation. Particular attention is given to antigen-presentation defects, clonal and subclonal heterogeneity, tumor microenvironment barriers, circulating tumor DNA-defined minimal residual disease, and immune-response monitoring. Colorectal cancer is used as a working model because microsatellite instability-high/mismatch repair-deficient tumors, microsatellite-stable tumors with immune-resistant features, and recurrent alterations in MMR genes, KRAS, BRAF, adenomatous polyposis coli, and TP53 illustrate how cancer-cell signaling, neoantigen generation, tumor microenvironment remodeling, and patient stratification intersect. Overall, cancer vaccines are unlikely to become universal stand-alone treatments for advanced solid tumors. Their most credible role may emerge in molecularly selected patients, adjuvant therapy, minimal residual disease, virus-associated malignancies, and rational combinations with checkpoint inhibitors or tumor microenvironment-modulating agents.

Indexed as

antigen presentationartificial intelligencecancer vaccinescolorectal cancerHLAimmunopeptidomicsmechanistic biomarkersneoantigens

Identifiers

PMID42698927
PMCPMC13542416

What OpenQuestion holds

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Registered trials

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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.