Evidence map›Paper›PMID 33643899›Full record

ReviewFrontiers in oncology2020

Biomarkers of Checkpoint Inhibitor Induced Immune-Related Adverse Events-A Comprehensive Review.

Josefien W Hommes, Rik J Verheijden, Karijn P M Suijkerbuijk, Dörte Hamann

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 4 pooled it
9.2field-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

67 citing papers in PubMed, 4 syntheses or guidelines pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Article
  6. Observational
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  8. Review
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  11. Review
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  15. Article
  16. Development of a Predictive Model for Classifying Immune Checkpoint Inhibitor-Induced Liver Injury Types.JGH open : an open access journal of gastroenterology and hepatology · 2025
    Article
  17. Review
  18. Review
  19. Review
  20. Article

7 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

4 authors at 1 institution in 1 country.

Josefien W HommesCenter for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands.
Rik J VerheijdenDepartment of Medical Oncology, Cancer Center, University Medical Center Utrecht, Utrecht, Netherlands.
Karijn P M SuijkerbuijkDepartment of Medical Oncology, Cancer Center, University Medical Center Utrecht, Utrecht, Netherlands.
Dörte HamannCenter for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands.
University Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have substantially improved the prognosis of patients with different types of cancer. Through blockade of cytotoxic T-lymphocyte antigen 4 (CTLA-4) and programmed cell death protein 1 (PD-1), negative feedback mechanisms of the immune system are inhibited, potentially resulting in very durable anti-tumor responses. Despite their promise, ICIs can also elicit auto-immune toxicities. These immune-related adverse events (irAEs) can be severe and sometimes even fatal. Therefore, being able to predict severe irAEs in patients would be of added value in clinical decision making. A search was performed using "adverse events", "immune checkpoint inhibitor", "biomarker", and synonyms in PubMed, yielding 3580 search results. After screening title and abstract on the relevance to the review question, statistical significance of reported potential biomarkers, and evaluation of the remaining full papers, 35 articles were included. Five additional reports were obtained by means of citations and by using the similar article function on PubMed. The current knowledge is presented in comprehensive tables summarizing blood-based, immunogenetic and microbial biomarkers predicting irAEs prior to and during ICI therapy. Until now, no single biomarker has proven to be sufficiently predictive for irAE development. Recommendations for further research on this topic are presented.

Indexed as

biomarkerblood cellscheckpoint inhibitor toxicitycytokinesimmune checkpoint inhibitionimmune-related adverse eventimmunotherapyreview (article)

Identifiers

PMID33643899
PMCPMC7905347
OpenAlexW3126292443

What Socratic 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 Socratic graph.