Identification of 'super responders' to pulmonary arterial hypertension therapies using clinical and molecular phenotyping may advance pharmacogenomics and precision medicine.
Identifying 'super responders' in PAH through clinical and molecular phenotyping may lead to advances in pharmacogenomics and precision medicine.
Pharmacotherapeutic options for pulmonary arterial hypertension (PAH) have increased dramatically in the last two decades and along with this have been substantial improvements in survival. Despite these advances, however, PAH remains a progressive and ultimately fatal disease for most patients and only epoprostenol has been shown to improve survival in a randomized control trial. Clinical observations of the heterogeneity of treatment response to different classes of medications across the phenotypically diverse PAH population has led to the identification of patients who derive significantly more benefit from certain medications than the population mean, the so-called "super responders." This was first recognized among PAH patients with acute vasodilator response during invasive hemodynamic testing, a subset of whom have dramatically improved survival when treated with calcium channel blocker (CCB) therapy. Retrospective studies have now suggested a sex discrepancy in response to endothelin receptor antagonists (ERA) and phosphodiesterase inhibitors, and more recently a few studies have found genomic associations with response to CCBs and ERAs. With increasing availability of "omics" technologies, recognition of these "super responders," combined with careful clinical and molecular phenotyping, will lead to advances in pharmacogenomics, precision medicine, and continued improvements in survival among PAH patients.
Halliday et al. (Wed,) conducted a review in Pulmonary arterial hypertension. Pharmacotherapy (CCBs, ERAs, PDE inhibitors) was evaluated. Identification of 'super responders' to pulmonary arterial hypertension therapies using clinical and molecular phenotyping may advance pharmacogenomics and precision medicine.