Evidence map›Paper›PMID 37679223›Full record

SynthesisHuman immunology2023

A meta-analysis of epitopes in prostate-specific antigens identifies opportunities and knowledge gaps.

Gabriele Foos, Nina Blazeska, Morten Nielsen, Hannah Carter, Zeynep Kosaloglu-Yalcin, Bjoern Peters, Alessandro Sette

Open access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Human immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 72% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 3 countries.

Gabriele FoosCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
Nina BlazeskaCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
Morten NielsenInstituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, CP 1650 San Martín, Argentina; Department of Health Technology, Technical University of Denmark, DK-2800 Lyngby, Denmark.
Hannah CarterDepartment of Medicine, University of California San Diego, La Jolla, CA, USA.
Zeynep Kosaloglu-YalcinCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
Bjoern PetersCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92037, USA.
Alessandro SetteCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92037, USA. Electronic address: alex@lji.org.
La Jolla Institute for Immunology · USNational University of General San Martín · ARUniversity of California San Diego · US

Funding

IMMUNE EPITOPE AND ANALYSIS PROGRAM: Transplantation of organs, tissues and cells 75N93019C00001 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI WILSON, STEPHEN · 2019 to 2025
$23.1M
THE CANCER EPITOPE DATABASE AND ANALYSIS RESOURCEU24CA248138 · NCI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI PETERS, BJOERN, SETTE, ALESSANDRO · 2021 to 2025
$4.6M
NCI NIH HHS U24 CA248138NIAID NIH HHS 75N93019C00001
6 · The paper itself

Abstract

backgroundThe Cancer Epitope Database and Analysis Resource (CEDAR) is a newly developed repository of cancer epitope data from peer-reviewed publications, which includes epitope-specific T cell, antibody, and MHC ligand assays. Here we focus on prostate cancer as our first cancer category to demonstrate the capabilities of CEDAR, and to shed light on the advances of epitope-related prostate cancer research.

resultsThe meta-analysis focused on a subset of data describing epitopes from 8 prostate-specific (PS) antigens. A total of 460 epitopes were associated with these proteins, 187 T cell, 109B cell, and 271 MHC ligand epitopes. The number of epitopes was not correlated with the length of the protein; however, we found a significant positive correlation between the number of references per specific PS antigen and the number of reported epitopes. Forty-four different class I and 27 class II restrictions were found, with the most epitopes described for HLA-A*02:01 and HLA-DRB1*01:01. Cytokine assays were mostly limited to IFNg assays and a very limited number of tetramer assays were performed. Monoclonal and polyclonal B cell responses were balanced, with the highest number of epitopes studied in ELISA/Western blot assays. Additionally, epitopes were generically described as associated with prostate cancer, with little granularity specifying diseases state. We found that in vivo and tumor recognition assays were sparse, and the number of epitopes with annotated B/T cell receptor information were limited. Potential immunodominant regions were identified by the use of the ImmunomeBrowser tool.

conclusionCEDAR provides a comprehensive repository of epitopes related to prostate-specific antigens. This inventory of epitope data with its wealth of searchable T cell, B cell and MHC ligand information provides a useful tool for the scientific community. At the same time, we identify significant knowledge gaps that could be addressed by experimental analysis.

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsEpitopes, T-LymphocyteHumansLigandsMaleProstateEpitopes, T-LymphocyteLigandsProstate-Specific AntigenAntibodiesCancerCEDARDatabaseEpitopeMHC ligandProstateT cell

Identifiers

PMID37679223
PMCPMC11017785
OpenAlexW4386531250

What OpenQuestion holds

Textmetadata
LicenceTDM
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.