Evidence map›Paper›PMID 38490980›Full record

ArticleNature communications2024

Immunopeptidomics-based identification of naturally presented non-canonical circRNA-derived peptides.

Humberto J Ferreira, Brian J Stevenson, HuiSong Pak, Fengchao Yu, Jessica Almeida Oliveira, Florian Huber, Marie Taillandier-Coindard, Justine Michaux, Emma Ricart-Altimiras, Anne I Kraemer and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  19. Methods for Isolating and Analyzing the HLA Class I Immunopeptidome.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  20. Review
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

15 authors.

Humberto J FerreiraLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0003-0834-2956
Brian J StevensonLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
HuiSong PakLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-7695-3698
Jessica Almeida OliveiraLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.ORCID 0009-0004-4447-1872
Florian HuberLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-2585-9079
Marie Taillandier-CoindardLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Justine MichauxLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Emma Ricart-AltimirasLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Anne I KraemerLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Lana E KandalaftLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-1575-6674
Daniel E SpeiserDepartment of Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.ORCID 0000-0003-2031-3250
Alexey I NesvizhskiiDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-2806-7819
Markus MüllerLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0003-0907-3583
Michal Bassani-SternbergLudwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland. michal.bassani@chuv.ch.ORCID 0000-0002-1934-954X

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
NIGMS NIH HHS R01 GM094231
6 · The paper itself

Abstract

Circular RNAs (circRNAs) are covalently closed non-coding RNAs lacking the 5' cap and the poly-A tail. Nevertheless, it has been demonstrated that certain circRNAs can undergo active translation. Therefore, aberrantly expressed circRNAs in human cancers could be an unexplored source of tumor-specific antigens, potentially mediating anti-tumor T cell responses. This study presents an immunopeptidomics workflow with a specific focus on generating a circRNA-specific protein fasta reference. The main goal of this workflow is to streamline the process of identifying and validating human leukocyte antigen (HLA) bound peptides potentially originating from circRNAs. We increase the analytical stringency of our workflow by retaining peptides identified independently by two mass spectrometry search engines and/or by applying a group-specific FDR for canonical-derived and circRNA-derived peptides. A subset of circRNA-derived peptides specifically encoded by the region spanning the back-splice junction (BSJ) are validated with targeted MS, and with direct Sanger sequencing of the respective source transcripts. Our workflow identifies 54 unique BSJ-spanning circRNA-derived peptides in the immunopeptidome of melanoma and lung cancer samples. Our approach enlarges the catalog of source proteins that can be explored for immunotherapy.

Indexed as

PeptidesRNA, CircularHistocompatibility Antigens Class IHumansRNA, MessengerHistocompatibility Antigens Class IPeptidesRNA, CircularRNA, Messenger

Identifiers

PMID38490980
PMCPMC10943130

What OpenQuestion holds

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Read underepoch 390

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.