Evidence map›Paper›PMID 33299664›Full record

ArticleOncoimmunology2020

Immune-focused multi-omics analysis of prostate cancer: leukocyte Ig-Like receptors are associated with disease progression.

Benjamin Vittrant, Alain Bergeron, Oscar Eduardo Molina, Mickael Leclercq, Xavier-Philippe Légaré, Hélène Hovington, Valérie Picard, Marie-Laure Martin-Magniette, Julie Livingstone, Paul C Boutros and 3 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

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  8. International journal of molecular sciences · 2023
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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 5 institutions in 3 countries.

Benjamin VittrantComputational Biology Laboratory, CHU de Québec - Université Laval Research Center, Québec City, QC, Canada.ORCID 0000-0001-5578-7283
Alain BergeronLaboratoire d'Uro-Oncologie Expérimentale, Axe Oncologie, Centre de Recherche Du CHU de Québec-Université Laval, Québec, Canada.ORCID 0000-0002-2875-0773
Oscar Eduardo MolinaLaboratoire d'Uro-Oncologie Expérimentale, Axe Oncologie, Centre de Recherche Du CHU de Québec-Université Laval, Québec, Canada.
Mickael LeclercqComputational Biology Laboratory, CHU de Québec - Université Laval Research Center, Québec City, QC, Canada.
Xavier-Philippe LégaréLaboratoire d'Uro-Oncologie Expérimentale, Axe Oncologie, Centre de Recherche Du CHU de Québec-Université Laval, Québec, Canada.
Hélène HovingtonLaboratoire d'Uro-Oncologie Expérimentale, Axe Oncologie, Centre de Recherche Du CHU de Québec-Université Laval, Québec, Canada.ORCID 0000-0002-5500-5648
Valérie PicardLaboratoire d'Uro-Oncologie Expérimentale, Axe Oncologie, Centre de Recherche Du CHU de Québec-Université Laval, Québec, Canada.
Marie-Laure Martin-MagnietteUniversities of Paris Saclay, Paris, Evry, CNRS, INRAE, Institute of Plant Sciences Paris Saclay (IPS2), Gif Sur Yvette, France.
Julie LivingstoneDepartments of Human Genetics & Urology, Jonsson Comprehensive Cancer Center and Institute for Precision Health, University of California, Los Angeles, USA.ORCID 0000-0002-8424-3768
Paul C BoutrosDepartments of Human Genetics & Urology, Jonsson Comprehensive Cancer Center and Institute for Precision Health, University of California, Los Angeles, USA.ORCID 0000-0003-0553-7520
Colin CollinsVancouver Prostate Cancer Centre, Vancouver, British Columbia, Canada.ORCID 0000-0001-6148-6110
Yves FradetLaboratoire d'Uro-Oncologie Expérimentale, Axe Oncologie, Centre de Recherche Du CHU de Québec-Université Laval, Québec, Canada.
Arnaud DroitComputational Biology Laboratory, CHU de Québec - Université Laval Research Center, Québec City, QC, Canada.ORCID 0000-0001-7922-790X
Centre hospitalier de l'Université Laval · CAUniversité Laval · CAUniversity of California, Los Angeles · USCentre National de la Recherche Scientifique · FRProstate Cancer Canada · CA

Funding

UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Yvonne Yu-Hsuan Chen · 2017 to 2026
$25.2M
NCI NIH HHS P50 CA211015
6 · The paper itself

Abstract

Prostate cancer (PCa) immunotherapy has shown limited efficacy so far, even in advanced-stage cancers. The success rate of PCa immunotherapy might be improved by approaches more adapted to the immunobiology of the disease. The objective of this study was to perform a multi-omics analysis to identify immune genes associated with PCa progression to better characterize PCa immunobiology and propose new immunotherapeutic targets. mRNA, miRNA, methylation, copy number aberration, and single nucleotide variant datasets from The Cancer Genome Atlas PRAD cohort were analyzed after filtering for genes associated with immunity. Sparse partial least squares-discriminant analyses were performed to identify features associated with biochemical recurrence (BCR) in each type of omics data. Selected features predicted BCR with a balanced error rate (BER) of 0.20 to 0.51 in single-omics and of 0.05 in multi-omics analyses. Amongst features associated with BCR were genes from the Immunoglobulin Ig-like Receptor (LILR) family which are immune checkpoints with immunotherapeutic potential. Using Multivariate INTegrative (MINT) analysis, the association of five

Indexed as

Neoplasm Recurrence, LocalProstatic NeoplasmsDisease ProgressionHumansImmunoglobulinsLeukocytesMaleImmunoglobulinsbiochemical recurrenceimmunotherapyleukocyte Ig-Like Receptorsmulti-omics analysisProstate cancer

Identifiers

PMID33299664
PMCPMC7714461
OpenAlexW3110606521

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.