1. Thiopurine S-methyltransferase testing for averting drug toxicity: a meta-analysis of diagnostic test accuracy.
- Author
-
Zur RM, Roy LM, Ito S, Beyene J, Carew C, and Ungar WJ
- Subjects
- Area Under Curve, Drug Hypersensitivity enzymology, Drug-Related Side Effects and Adverse Reactions enzymology, Drug-Related Side Effects and Adverse Reactions genetics, Genetic Predisposition to Disease, Humans, Methyltransferases metabolism, Phenotype, Predictive Value of Tests, Purine-Pyrimidine Metabolism, Inborn Errors enzymology, Purines metabolism, ROC Curve, Reproducibility of Results, Drug Hypersensitivity diagnosis, Drug Hypersensitivity genetics, Drug-Related Side Effects and Adverse Reactions prevention & control, Methyltransferases genetics, Pharmacogenomic Testing methods, Pharmacogenomic Variants genetics, Purine-Pyrimidine Metabolism, Inborn Errors diagnosis, Purine-Pyrimidine Metabolism, Inborn Errors genetics, Purines adverse effects
- Abstract
Thiopurine S-methyltransferase (TPMT) deficiency increases the risk of serious adverse events in persons receiving thiopurines. The objective was to synthesize reported sensitivity and specificity of TPMT phenotyping and genotyping using a latent class hierarchical summary receiver operating characteristic meta-analysis. In 27 studies, pooled sensitivity and specificity of phenotyping for deficient individuals was 75.9% (95% credible interval (CrI), 58.3-87.0%) and 98.9% (96.3-100%), respectively. For genotype tests evaluating TPMT*2 and TPMT*3, sensitivity and specificity was 90.4% (79.1-99.4%) and 100.0% (99.9-100%), respectively. For individuals with deficient or intermediate activity, phenotype sensitivity and specificity was 91.3% (86.4-95.5%) and 92.6% (86.5-96.6%), respectively. For genotype tests evaluating TPMT*2 and TPMT*3, sensitivity and specificity was 88.9% (81.6-97.5%) and 99.2% (98.4-99.9%), respectively. Genotyping has higher sensitivity as long as TPMT*2 and TPMT*3 are tested. Both approaches display high specificity. Latent class meta-analysis is a useful method for synthesizing diagnostic test performance data for clinical practice guidelines.The Pharmacogenomics Journal advance online publication, 24 May 2016; doi:10.1038/tpj.2016.37.
- Published
- 2016
- Full Text
- View/download PDF