An Analysis of the Relationship Between Preclinical and Clinical QT Interval-Related Data

There has been significant focus on drug-induced QT interval prolongation caused by block of the human ether-a-go-go-related gene (hERG)-encoded potassium channel. Regulatory guidance has been implemented to assess QT interval prolongation risk: preclinical guidance requires a candidate drug's potency as a hERG channel blocker to be defined and also its effect on QT interval in a non-rodent species; clinical guidance requires a "Thorough QT Study" during development, although some QT prolonging compounds are identified earlier via a Phase I study. Clinical, heart rate-corrected QT interval (QTc) data on 24 compounds (13 positives; 11 negatives) were compared with their effect on dog QTc and the concentration of compound causing 50% inhibition (IC50) of hERG current. Concordance was assessed by calculating sensitivity and specificity across a range of decision thresholds, thus yielding receiver operating characteristic curves of sensitivity versus (1-specificity). The area under the curve of ROC curves (for which 0.5 and 1 indicate chance and perfect concordance, respectively) was used to summarize concordance. Three aspects of preclinical data were compared with the clinical outcome (receiver operating characteristic area under the curve values shown in brackets): absolute hERG IC50 (0.78); safety margin between hERG IC50 and clinical peak free plasma exposure (0.80); safety margin between QTc effects in dogs and clinical peak free plasma exposure (0.81). Positive and negative predictive values of absolute hERG IC50 indicated that from an early drug discovery perspective, low potency compounds can be progressed on the basis of a low risk of causing a QTc increase.

[1]  G. Gintant,et al.  Evolution of strategies to improve preclinical cardiac safety testing , 2016, Nature Reviews Drug Discovery.

[2]  Sherri Matis-Mitchell,et al.  Evaluation of drug-induced QT interval prolongation in animal and human studies: a literature review of concordance , 2015, British journal of pharmacology.

[3]  H. Geys,et al.  The concordance between nonclinical and phase I clinical cardiovascular assessment from a cross-company data sharing initiative. , 2014, Toxicological sciences : an official journal of the Society of Toxicology.

[4]  R. Guy,et al.  International Conference on Harmonisation , 2014 .

[5]  Eunjung Park,et al.  The impact of drug-related QT prolongation on FDA regulatory decisions. , 2013, International journal of cardiology.

[6]  Gareth J Waldron,et al.  Reducing safety-related drug attrition: the use of in vitro pharmacological profiling , 2012, Nature Reviews Drug Discovery.

[7]  C. Smith Diagnostic tests (1) – sensitivity and specificity , 2012, Phlebology.

[8]  Gary Gintant,et al.  An evaluation of hERG current assay performance: Translating preclinical safety studies to clinical QT prolongation. , 2011, Pharmacology & therapeutics.

[9]  R. Wallis,et al.  Integrated risk assessment and predictive value to humans of non‐clinical repolarization assays , 2010, British journal of pharmacology.

[10]  J. Valentin,et al.  An introduction to QT interval prolongation and non‐clinical approaches to assessing and reducing risk , 2010, British journal of pharmacology.

[11]  Xiao-Hua Zhou,et al.  Confidence intervals for predictive values with an emphasis to case–control studies , 2007, Statistics in medicine.

[12]  R. Shah,et al.  Can pharmacogenetics help rescue drugs withdrawn from the market? , 2006, Pharmacogenomics.

[13]  M. Sanguinetti,et al.  hERG potassium channels and cardiac arrhythmia , 2006, Nature.

[14]  International Conference on Harmonisation; guidance on S7B Nonclinical Evaluation of the Potential for Delayed Ventricular Repolarization (QT Interval Prolongation) by Human Pharmaceuticals; availability. Notice. , 2005, Federal register.

[15]  International Conference on Harmonisation; guidance on E14 Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for Non-Antiarrhythmic Drugs; availability. Notice. , 2005, Federal register.

[16]  Rajasekhar Ramakrishnan,et al.  Autonomic nervous system influences on QT interval in normal subjects. , 2002, Journal of the American College of Cardiology.

[17]  International Conference on Harmonisation; guidance on S7A safety pharmacology studies for human pharmaceuticals; availability. Notice. , 2001, Federal register.

[18]  M. Palmisano,et al.  Pharmacokinetics and tolerability of formoterol in healthy volunteers after a single high dose of Foradil dry powder inhalation via Aerolizer. , 1999, European journal of clinical pharmacology.

[19]  D G Altman,et al.  Statistics Notes: Diagnostic tests 3: receiver operating characteristic plots , 1994, BMJ.

[20]  D. Altman,et al.  Statistics Notes: Diagnostic tests 2: predictive values , 1994, BMJ.

[21]  N. Pearce,et al.  A comparison of the cardiovascular and metabolic effects of formoterol, salbutamol and fenoterol. , 1993, The European respiratory journal.