Evidence map›Paper›PMID 32157095›Full record

ArticleNature communications2020

Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes.

Chloe Chong, Markus Müller, HuiSong Pak, Dermot Harnett, Florian Huber, Delphine Grun, Marion Leleu, Aymeric Auger, Marion Arnaud, Brian J Stevenson and 16 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 213 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
213citing papers in PubMed, 1 pooled it
18.5field-weighted citation impact, top 1% of its field
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

213 citing papers in PubMed, 1 synthesis or guideline pooled it, 320 citations in OpenAlex.

  1. Pooled it
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  7. Determining the dark proteome.Nature chemical biology · 2026
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153 more citing papers are in PubMed but not listed here.

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

26 authors at 8 institutions in 4 countries.

Chloe ChongLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland.
Markus MüllerVital IT, Swiss Institute of Bioinformatics, Quartier Sorge, Bâtiment Amphipôle, 1015, Lausanne, Switzerland.ORCID 0000-0003-0907-3583
HuiSong PakLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland.
Dermot HarnettMax Delbrück Centre for Molecular Medicine in the Helmholtz Association, Institute for Medical Systems Biology, Hannoversche Straße 28, 10115, Berlin, Germany.
Florian HuberLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland.
Delphine GrunSchool of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Route Cantonale, 1015, Lausanne, Switzerland.
Marion LeleuSchool of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Route Cantonale, 1015, Lausanne, Switzerland.
Aymeric AugerDepartment of Oncology, Centre hospitalier universitaire vaudois (CHUV), Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Marion ArnaudLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland.
Brian J StevensonVital IT, Swiss Institute of Bioinformatics, Quartier Sorge, Bâtiment Amphipôle, 1015, Lausanne, Switzerland.
Justine MichauxLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland.
Ilija BilicMax Delbrück Centre for Molecular Medicine in the Helmholtz Association, Institute for Medical Systems Biology, Hannoversche Straße 28, 10115, Berlin, Germany.ORCID 0000-0002-2730-1634
Antje HirsekornMax Delbrück Centre for Molecular Medicine in the Helmholtz Association, Institute for Medical Systems Biology, Hannoversche Straße 28, 10115, Berlin, Germany.
Lorenzo CalvielloMax Delbrück Centre for Molecular Medicine in the Helmholtz Association, Institute for Medical Systems Biology, Hannoversche Straße 28, 10115, Berlin, Germany.
Laia Simó-RiudalbasSchool of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Route Cantonale, 1015, Lausanne, Switzerland.
Evarist PlanetSchool of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Route Cantonale, 1015, Lausanne, Switzerland.
Jan LubińskiDepartment of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, ul. Rybacka 1, 70-204, Szczecin, Poland.
Marta BryśkiewiczDepartment of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, ul. Rybacka 1, 70-204, Szczecin, Poland.
Maciej WiznerowiczInternational Institute for Molecular Oncology, Jakuba Krauthofera 23, 60-203, Poznań, Poland.ORCID 0000-0003-4960-6321
Ioannis XenariosLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland.
Lin ZhangCenter for Research on Reproduction and Women's Health, University of Pennsylvania, 421 Curie Boulevard, Philadelphia, PA, 19104, USA.ORCID 0000-0003-1998-0611
Didier TronoSchool of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Route Cantonale, 1015, Lausanne, Switzerland.
Alexandre HarariLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland.ORCID 0000-0002-1055-2090
Uwe OhlerMax Delbrück Centre for Molecular Medicine in the Helmholtz Association, Institute for Medical Systems Biology, Hannoversche Straße 28, 10115, Berlin, Germany.ORCID 0000-0002-0881-3116
George CoukosLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland.ORCID 0000-0001-8813-7367
Michal Bassani-SternbergLudwig Institute for Cancer Research, University of Lausanne, Agora Center, Rue du Bugnon 25A, 1005, Lausanne, Switzerland. michal.bassani@chuv.ch.ORCID 0000-0002-1934-954X
University Hospital of Lausanne · CHMax Delbrück Center · DEÉcole Polytechnique Fédérale de Lausanne · CHSIB Swiss Institute of Bioinformatics · CHInternational Institute for Molecular Oncology · PLHES-SO Genève · CHPoznan University of Medical Sciences · PLUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efforts to precisely identify tumor human leukocyte antigen (HLA) bound peptides capable of mediating T cell-based tumor rejection still face important challenges. Recent studies suggest that non-canonical tumor-specific HLA peptides derived from annotated non-coding regions could elicit anti-tumor immune responses. However, sensitive and accurate mass spectrometry (MS)-based proteogenomics approaches are required to robustly identify these non-canonical peptides. We present an MS-based analytical approach that characterizes the non-canonical tumor HLA peptide repertoire, by incorporating whole exome sequencing, bulk and single-cell transcriptomics, ribosome profiling, and two MS/MS search tools in combination. This approach results in the accurate identification of hundreds of shared and tumor-specific non-canonical HLA peptides, including an immunogenic peptide derived from an open reading frame downstream of the melanoma stem cell marker gene ABCB5. These findings hold great promise for the discovery of previously unknown tumor antigens for cancer immunotherapy.

Indexed as

High-Throughput Nucleotide SequencingProteogenomicsAmino Acid SequenceCell Line, TumorDatabases, ProteinGene Expression Regulation, NeoplasticHistocompatibility Antigens Class IHumansMelanomaPeptidesRNAT-LymphocytesHistocompatibility Antigens Class IPeptidesRNA

Identifiers

PMID32157095
PMCPMC7064602
OpenAlexW3010737707

What OpenQuestion 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 OpenQuestion graph.