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Identification of cellular targets involved in cardiac failure caused by PKI in oncology: an approach combining pharmacovigilance and pharmacodynamics.
- Source :
-
British journal of clinical pharmacology [Br J Clin Pharmacol] 2017 Jul; Vol. 83 (7), pp. 1544-1555. Date of Electronic Publication: 2017 Feb 14. - Publication Year :
- 2017
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Abstract
- Aims: The aims of the present study were to evaluate the risk of cardiac failure (CF) associated with 15 anticancer protein kinase inhibitors (PKIs) through a case/noncase analysis and to identify which PK(s) and pathways are involved in PKI-induced CF.<br />Methods: In order to evaluate the risk of CF, adjusted reporting odds ratios (aRORs) were calculated for the 15 anticancer PKIs in the World Health Organization safety report database (VigiBase®). We realised a literature review to identify 21 protein kinases (PKs) that were possibly involved in CF caused by PKIs. Pearson correlation coefficients (r) between aRORs and affinity data of the 15 PKIs for the 21 PKs were calculated to identify the cellular target most likely to be involved in PKI-induced CF.<br />Results: A total of 141 601 individual case safety reports (ICSRs) were extracted from VigiBase® for the following PKIs: afatinib, axitinib, bosutinib, crizotinib, dasatinib, erlotinib, gefitinib, imatinib, lapatinib, nilotinib, pazopanib, ruxolitinib, sorafenib, sunitinib and vandetanib. Among them, 2594 ICSRs concerned CF. The disproportionality analysis revealed that, for dasatinib, imatinib, bosutinib, sunitinib and nilotinib, disproportionality for CF was significantly higher than for other PKIs, with aRORs of 2.52 [95% CI 2.26, 2.82], 1.79 (95% CI 1.57, 2.03), 1.73 (95% CI 1.18, 2.54), 1.67 (95% CI 1.51, 1.84) and 1.38 (95% CI 1.18, 1.61), respectively. Significant values for correlation coefficients between the product of dissociation constant (pKd) and aROR were observed for two non-receptor protein kinases: ABL1 (non-phosphorylated and phosphorylated forms) and ABL2 protein kinases, with values of r = 0.83 (P = 0.0001), r = 0.75 (P = 0.0014) and r = 0.78 (P = 0.0006), respectively.<br />Conclusion: We observed a higher disproportionality for CF with dasatinib, imatinib, bosutinib, sunitinib and nilotinib than with other PKIs. In addition, the study highlighted the role of ABL tyrosine kinases in CF caused by anticancer PKIs.<br /> (© 2017 The British Pharmacological Society.)
- Subjects :
- Adverse Drug Reaction Reporting Systems statistics & numerical data
Antineoplastic Agents pharmacology
Databases, Factual statistics & numerical data
Drug Interactions
Heart Failure pathology
Humans
Molecular Targeted Therapy methods
Pharmacovigilance
Protein Kinase Inhibitors pharmacology
Protein-Tyrosine Kinases antagonists & inhibitors
Proto-Oncogene Proteins c-abl antagonists & inhibitors
Signal Transduction drug effects
World Health Organization
Antineoplastic Agents adverse effects
Heart Failure chemically induced
Molecular Targeted Therapy adverse effects
Neoplasms drug therapy
Protein Kinase Inhibitors adverse effects
Protein-Tyrosine Kinases metabolism
Proto-Oncogene Proteins c-abl metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1365-2125
- Volume :
- 83
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- British journal of clinical pharmacology
- Publication Type :
- Academic Journal
- Accession number :
- 28098949
- Full Text :
- https://doi.org/10.1111/bcp.13238