Evidence map›Paper›PMID 37582761›Full record

ArticleGenome biology2023

BamQuery: a proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens.

Maria Virginia Ruiz Cuevas, Marie-Pierre Hardy, Jean-David Larouche, Anca Apavaloaei, Eralda Kina, Krystel Vincent, Patrick Gendron, Jean-Philippe Laverdure, Chantal Durette, Pierre Thibault and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 20 citations in OpenAlex.

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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

13 authors at 2 institutions in 2 countries.

Maria Virginia Ruiz CuevasInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Marie-Pierre HardyInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Jean-David LaroucheInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Anca ApavaloaeiInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Eralda KinaInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Krystel VincentInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Patrick GendronInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Jean-Philippe LaverdureInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Chantal DuretteInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Pierre Thibault *Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Sébastien Lemieux *Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Claude Perreault *Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Grégory Ehx *Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada. g.ehx@uliege.be.ORCID http://orcid.org/0000-0002-7018-1770
Institute for Research in Immunology and Cancer · CAUniversity of Liège · BE

Funding

CIHR FDN 148400
6 · The paper itself

Abstract

MHC-I-associated peptides deriving from non-coding genomic regions and mutations can generate tumor-specific antigens, including neoantigens. Quantifying tumor-specific antigens' RNA expression in malignant and benign tissues is critical for discriminating actionable targets. We present BamQuery, a tool attributing an exhaustive RNA expression to MHC-I-associated peptides of any origin from bulk and single-cell RNA-sequencing data. We show that many cryptic and mutated tumor-specific antigens can derive from multiple discrete genomic regions, abundantly expressed in normal tissues. BamQuery can also be used to predict MHC-I-associated peptides immunogenicity and identify actionable tumor-specific antigens de novo.

Indexed as

NeoplasmsProteogenomicsAntigens, NeoplasmHistocompatibility Antigens Class IHumansPeptidesRNAAntigens, NeoplasmHistocompatibility Antigens Class IPeptidesRNAComputational biologyImmunopeptidomeMajor histocompatibility complexTumor antigens

Identifiers

PMID37582761
PMCPMC10426134
OpenAlexW4385836593

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.