Evidence map›Paper›PMID 42327740›Full record

ArticleFrontiers in immunology2026

Identification of tumor-associated antigens with multi-cancer therapeutic potential.

Daniel P Wickland, Erik Jessen, Asha Nair, Brian Necela, Kimberly Lauer, Kiran K Mangalaparthi, Rex Devasahayam Arokia Balaya, Akhilesh Pandey, Aaron S Mansfield, Keith L Knutson and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

11 authors.

Daniel P WicklandDepartment of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.
Erik JessenDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.
Asha NairDepartment of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.
Brian NecelaDepartment of Immunology, Mayo Clinic, Jacksonville, FL, United States.
Kimberly LauerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.
Kiran K MangalaparthiDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
Rex Devasahayam Arokia BalayaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
Akhilesh PandeyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
Aaron S MansfieldDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
Keith L KnutsonDepartment of Immunology, Mayo Clinic, Jacksonville, FL, United States.
Yan W AsmannDepartment of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-associated antigens (TAAs) are non-mutated antigenic peptides expressed in cancer tissue at abnormally high levels but in normal tissue either at negligible levels, during only particular developmental stages, or in a tissue-restricted manner. The shared nature of TAAs across patients makes them attractive targets for off-the-shelf immunotherapies. However, no studies have comprehensively surveyed the TAA potential of all possible wild-type peptides originating from cancer-associated genes. In this study of 16 cancer tissue types and 39 normal tissue types, we analyzed the expression profiles of protein-coding genes to identify those with aberrantly high RNA levels across multiple solid tumor types and low RNA levels across all normal tissue types examined. We then developed a score to quantify tumor specificity of gene expression. Compared to previously reported TAA genes, those we identified exhibited substantially greater tumor specificity. Seven of these genes demonstrated consistently elevated expression in at least five tumor types and minimal expression across all non-immune-privileged normal tissues. To assess Human Leukocyte Antigen (HLA) class I presentation potential of the multi-cancer-associated genes, we computationally predicted the binding affinities between the most common class I HLA alleles and all possible wild-type TAA epitopes of 8-11 amino acids arising from those genes. We then applied rigorous filtering criteria to prioritize the most promising multi-cancer TAA peptide candidates and evaluated their HLA binding and cell-surface presentation using T2 and immunopeptidome analysis. Our results highlight new potential targets for multi-cancer immunotherapies.

Indexed as

Antigens, NeoplasmNeoplasmsAntigen PresentationGene Expression ProfilingGene Expression Regulation, NeoplasticHistocompatibility Antigens Class IHumansImmunotherapyAntigens, NeoplasmHistocompatibility Antigens Class IantigencancerHLAimmunopeptidomeimmunotherapy

Identifiers

PMID42327740
PMCPMC13279219

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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.