Document detail
ID

oai:pubmedcentral.nih.gov:6138...

Topic
Original Articles
Author
Mahé, Julien de Campaigno, Emilie Patras Chené, Anne‐Laure Montastruc, Jean‐Louis Despas, Fabien Jolliet, Pascale
Langue
en
Editor

John Wiley and Sons Inc.

Category

British Journal of Clinical Pharmacology

Year

2018

listing date

12/14/2023

Keywords
95% involved ci identify study pkis pd
Metrics

Abstract

AIMS: To evaluate the risk of pleural disorders (PD) associated with 33 protein kinase (PK) inhibitors (PKIs) through a disproportionality analysis and to identify which PKs and pathways are involved in PKI‐induced PD.

METHODS: To evaluate the risk of PD, reporting odds ratios (RORs) were calculated for 33 PKIs through data registered in the World Health Organization safety report database (VigiBase).

We undertook a literature review to identify PKs that were possibly involved in PD caused by PKIs.

Pearson correlation coefficients (r) between RORs and affinity data of 19 PKIs were calculated to identify the cellular target most likely to be involved in PKI‐induced PD.

RESULTS: A total of 235 110 individual case safety reports were extracted from the database for 33 available PKIs.

Among these reports, 5001 concerned PD (2.1%).

Significant and positive disproportionality for PD was found for 29 of 33 PKI included in our study with top values for dasatinib [ROR = 115.3; 95% confidence interval (CI): 110.1–120.8], bosutinib (ROR = 20.4; 95% CI: 15.8–26.4) and ponatinib (ROR = 12; 95% CI: 9.2–15.6).

Correlation analyses between the product of dissociation constant and ROR highlighted possibly Lyn involvement in PD with PKI (r = 0.73, P = 0.0004).

CONCLUSIONS: Our study showed that 28 of the 33 tested PKIs were associated with PD.

Besides, the study highlighted the role of Lyn in PD caused by PKIs through an immune‐mediated process.

Mahé, Julien,de Campaigno, Emilie Patras,Chené, Anne‐Laure,Montastruc, Jean‐Louis,Despas, Fabien,Jolliet, Pascale, 2018, Pleural adverse drugs reactions and protein kinase inhibitors: Identification of suspicious targets by disproportionality analysis from VigiBase, John Wiley and Sons Inc.

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