Non-Invasive Predictive Biomarkers for Immune-Related Adverse Events Due to Immune Checkpoint Inhibitors.

biomarker immune checkpoint inhibitor immune-related adverse events immunotherapy irAE

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
20 Mar 2024
Historique:
received: 20 02 2024
revised: 19 03 2024
accepted: 19 03 2024
medline: 28 3 2024
pubmed: 28 3 2024
entrez: 28 3 2024
Statut: epublish

Résumé

Immune-related adverse events (irAEs) are the most common complication of immune checkpoint inhibitor (ICI) therapy. With the widespread use of ICIs in patients with solid tumors, up to 40% of the patients develop irAEs within five months of treatment, and 11% develop severe irAEs requiring interventions. A predictive test for irAEs would be a crucial tool for monitoring for complications during and after ICI therapy. We performed an extensive review of potential predictive biomarkers for irAEs in patients who received ICI therapy. Currently, only thyroid-stimulating hormone is utilized in common clinical practice. This is due to the unavailability of commercial tests and unclear predictive values from various studies. Given the lack of single strong predictive biomarkers, some novel approaches using composite scores using genomic, transcriptomics, cytokine levels, or clinical parameters appear appealing. Still, these have yet to be validated and incorporated into clinical practice. Further research conducted to validate the models before implementing them into real-world settings will be of the utmost importance for irAE prediction.

Identifiants

pubmed: 38539558
pii: cancers16061225
doi: 10.3390/cancers16061225
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Auteurs

Ben Ponvilawan (B)

Department of Internal Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, MO 64108, USA.

Abdul Wali Khan (AW)

Department of Internal Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, MO 64108, USA.

Janakiraman Subramanian (J)

Inova Schar Cancer Institute, Fairfax, VA 22031, USA.

Dhruv Bansal (D)

St. Luke's Cancer Institute, University of Missouri-Kansas City School of Medicine, Kansas City, MO 64108, USA.

Classifications MeSH