Evidence map›Paper›PMID 42338745›Full record

ArticleNAR genomics and bioinformatics2026

Comprehensive mapping of identical sequences across human proteins emphasizes the widespread issue of shared epitopes in self-antigens.

Guillaume Kellermann, Olivier Croce, Baharia Mograbi, Paul Hofman, Patrick Brest

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 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

5 authors.

Guillaume KellermannTelomium SAS, Ivry-sur-Seine 94200, France.ORCID https://orcid.org/0009-0003-4047-6476
Olivier CroceUniversité Côte d'Azur, Institute for Research on Cancer and Aging, Nice (IRCAN), Centre national de la recherche scientifique (CNRS), Institut national de la santé et de la recherche médicale (INSERM), Institut Hospitalo-Universitaire (IHU) RespirERA, Fédération Hospitalo-Universitaire (FHU) OncoAge, Nice, France.ORCID https://orcid.org/0000-0002-7342-3157
Baharia MograbiUniversité Côte d'Azur, Institute for Research on Cancer and Aging, Nice (IRCAN), Centre national de la recherche scientifique (CNRS), Institut national de la santé et de la recherche médicale (INSERM), Institut Hospitalo-Universitaire (IHU) RespirERA, Fédération Hospitalo-Universitaire (FHU) OncoAge, Nice, France.ORCID https://orcid.org/0000-0002-1025-3429
Paul HofmanUniversité Côte d'Azur, Institute for Research on Cancer and Aging, Nice (IRCAN), Centre national de la recherche scientifique (CNRS), Institut national de la santé et de la recherche médicale (INSERM), Institut Hospitalo-Universitaire (IHU) RespirERA, Fédération Hospitalo-Universitaire (FHU) OncoAge, Nice, France.ORCID https://orcid.org/0000-0003-0431-9353
Patrick BrestUniversité Côte d'Azur, Institute for Research on Cancer and Aging, Nice (IRCAN), Centre national de la recherche scientifique (CNRS), Institut national de la santé et de la recherche médicale (INSERM), Institut Hospitalo-Universitaire (IHU) RespirERA, Fédération Hospitalo-Universitaire (FHU) OncoAge, Nice, France.ORCID https://orcid.org/0000-0002-1252-4747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shared epitopes pose safety and efficacy issues for T-cell immunotherapy. To characterize the extent of this problem, we performed a computational analysis establishing a complete atlas of shared identical sequences across the human and murine proteomes. Unlike bacterial or viral antigens, self-antigens, including tumor-associated antigens (TAAs), frequently contain sequences of sufficient length to generate identical epitopes in other self-proteins. Epitopes from these shared sequences can theoretically reduce target specificity, confound immunomonitoring studies, and contribute to pre-existing immune tolerance toward TAAs. Notably, a subset of TAAs identified in this atlas is free of this drawback, providing a new criterion for antigen prioritization in cancer immunotherapy. To facilitate the detection of shared sequences, a web server has been made available at https://epitopemapper.ircan.org/ and the open-source code at https://github.com/IRCAN/EpitopeMapper.

Indexed as

AutoantigensEpitope MappingEpitopesAmino Acid SequenceAnimalsAntigens, NeoplasmHumansImmunoinformaticsMiceSoftwareAntigens, NeoplasmAutoantigensEpitopes

Identifiers

PMID42338745
PMCPMC13284612

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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.