Evidence map›Paper›PMID 36291752›Full record

ReviewCancers2022

Mining the Immunopeptidome for Antigenic Peptides in Cancer.

Ricardo A León-Letelier, Hiroyuki Katayama, Sam Hanash

Abstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Immunopeptidomics in the cancer immunotherapy era.Exploration of targeted anti-tumor therapy · 2024
    Review
  5. Article
  6. Article
  7. Cancer immune escape: the role of antigen presentation machinery.Journal of cancer research and clinical oncology · 2023
    Review
  8. Review
  9. Engineering Cell Lines for Specific Human Leukocyte Antigen Presentation.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
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

3 authors.

Ricardo A León-LetelierClinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-7575-0453
Hiroyuki KatayamaClinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0003-3117-1390
Sam HanashClinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although harnessing the immune system for cancer therapy has shown success, response to immunotherapy has been limited. The immunopeptidome of cancer cells presents an opportunity to discover novel antigens for immunotherapy applications. These neoantigens bind to MHC class I and class II molecules. Remarkably, the immunopeptidome encompasses protein post-translation modifications (PTMs) that may not be evident from genome or transcriptome profiling. A case in point is citrullination, which has been demonstrated to induce a strong immune response. In this review, we cover how the immunopeptidome, with a special focus on PTMs, can be utilized to identify cancer-specific antigens for immunotherapeutic applications.

Indexed as

cancer vaccineimmunopeptidomeimmunotherapyPTM

Identifiers

PMID36291752
PMCPMC9599891

What OpenQuestion holds

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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.