Safety of immune checkpoint inhibitors: An updated comprehensive disproportionality analysis and meta-analysis.

Disproportionality analysis Food and Drug Administration Adverse Event Reporting System GRADE analysis Immune Checkpoint Inhibitors Meta-analysis Open Vigil 2.1-MedDRA-v24

Journal

Critical reviews in oncology/hematology
ISSN: 1879-0461
Titre abrégé: Crit Rev Oncol Hematol
Pays: Netherlands
ID NLM: 8916049

Informations de publication

Date de publication:
27 May 2024
Historique:
received: 07 10 2023
revised: 12 03 2024
accepted: 21 05 2024
medline: 30 5 2024
pubmed: 30 5 2024
entrez: 29 5 2024
Statut: aheadofprint

Résumé

The exact safety profile of Immune checkpoint inhibitors (ICIs) is unclear so far. The aim of the current study is to analyse the safety profile of ICIs in cancer patients. The updated comprehensive disproportionality analysis of post-marketing data using the FAERS database and meta-analysis of randomized clinical trials (RCTs) was conducted. Disproportionality measures were calculated in terms of PRR associated with chi-square value and ROR with 95% confidence intervals whereas overall estimate measures with 95% CIs, publication bias and heterogeneity were calculated using RevMan 5.4. The GRADE analysis was also done to check the quality of evidence for each outcome. Various novel signals such as cholangitis, encephalitis, anuria, myelosuppression, and cachexia related to different system organ class were identified with ICIs. The sensitivity analysis results have indicated the influence of concomitant drugs on the identified signals. The meta-analysis results have shown a good safety profile of atezolizumab in non-small cell lung cancer (NSCLC) and melanoma, pembrolizumab in gastro-oesophageal cancer, urothelial cancer and head and neck squamous cell carcinoma (HNSCC), nivolumab in HNSCC as compared to the non-ICI group. The safety of ICIs is dependent on their types as well as on the types of cancer.

Sections du résumé

BACKGROUND BACKGROUND
The exact safety profile of Immune checkpoint inhibitors (ICIs) is unclear so far.
AIM OBJECTIVE
The aim of the current study is to analyse the safety profile of ICIs in cancer patients.
METHODOLOGY METHODS
The updated comprehensive disproportionality analysis of post-marketing data using the FAERS database and meta-analysis of randomized clinical trials (RCTs) was conducted. Disproportionality measures were calculated in terms of PRR associated with chi-square value and ROR with 95% confidence intervals whereas overall estimate measures with 95% CIs, publication bias and heterogeneity were calculated using RevMan 5.4. The GRADE analysis was also done to check the quality of evidence for each outcome.
RESULTS RESULTS
Various novel signals such as cholangitis, encephalitis, anuria, myelosuppression, and cachexia related to different system organ class were identified with ICIs. The sensitivity analysis results have indicated the influence of concomitant drugs on the identified signals. The meta-analysis results have shown a good safety profile of atezolizumab in non-small cell lung cancer (NSCLC) and melanoma, pembrolizumab in gastro-oesophageal cancer, urothelial cancer and head and neck squamous cell carcinoma (HNSCC), nivolumab in HNSCC as compared to the non-ICI group.
CONCLUSION CONCLUSIONS
The safety of ICIs is dependent on their types as well as on the types of cancer.

Identifiants

pubmed: 38810844
pii: S1040-8428(24)00141-0
doi: 10.1016/j.critrevonc.2024.104398
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

104398

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Simran Tyagi (S)

Department of Pharmaceutical Biotechnology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi 110017, India.

Anoop Kumar (A)

Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi 110017, India. Electronic address: abitmesra@gmail.com.

Classifications MeSH