Medication reaction research could streamline drug trials, improve outcomes
by Michele B. Kaufman, PharmD, BSc, RPh
There has been a lot of talk recently about pharmacogenomics and personalized medicine. Pharmaco-genomics—the way an individual responds to a medication—includes both positive and negative reactions, and how individual genetic differences affect drug response. It also examines the inherited variations in genes that dictate drug response and explores how these variations can be used to predict what type of response a patient will have to a particular drug, whether that is a good response, a bad response, or no response at all.1
In the race to catalog all the different gene variations, variations known as single nucleotide polymorphisms (SNPs, or “snips”) are used diagnostically to predict a patient’s response to a drug. In the future, pharmaceutical companies could use pharmacogenomics to predict which patients will have a negative response to a particular drug in clinical trials and, therefore, not study the medication in those patients.2 In essence, it would be a way to “streamline” therapy to those in most need of it or for those who likely will have a positive response with minimal adverse events.
By pre-screening patients, clinical trials could be smaller, faster, and less costly. The capability to pre-assess whether a patient will benefit from a particular medication before it is prescribed is a major advantage when it comes to medication use. It also might increase a prescriber’s confidence before starting a patient on a medication, and it might improve a patient’s confidence in taking the medication, which could increase medication adherence and lead to better patient outcomes.
Researchers have found that when patients with certain SNP variants of cytochrome P450 (CYP) take warfarin, metabolism and patient sensitivity are affected. Once this was discovered, the Food and Drug Administration (FDA) subsequently approved prescribing label changes for warfarin that incorporated pharmacogenomics information.3 This change included information on increased bleeding risk for patients carrying either the CYP2C9*2 or CYP2C9*3 alleles.4
More recently, Eckman et al published a cost-effectiveness analysis evaluating pharmacogenetic information related to warfarin dosing in patients with nonvalvular atrial fibrillation.5 In the study, the authors concluded that currently limited data exist utilizing pharmacogenomics for dosing of warfarin and its effects on major bleeding. They did note, however, that genotyping may be beneficial and cost-effective in patients who are at high risk of hemorrhage.
Additionally, there has been recent media coverage of the genetic variations of CYP2C19 affecting clopidogrel metabolism and efficacy.6,7 Both Mega et al and Collet et al noted that patients carrying at least one genetic variation of CYP2C19 had diminished platelet inhibition. Published earlier this year, both studies noted that patients carrying the genetic variation of CYP2C19 exhibited a higher rate of major cardiovascular events—including death, stent thrombosis, myocardial infarction, or stroke—than did noncarriers.
The FDA warned healthcare providers in November 2008 about using phenytoin or fosphenytoin in patients with the HLA-B*1502 allele due to a potentially increased risk of Stevens-Johnson syndrome and toxic epidermal necrolysis. A similar warning exists for carbamazepine in the same patient population. This is another example of pharmacogenomics information at work.8
Patient-specific variables have been identified that can help determine how an individual will respond to certain medications. Ultimately, this could decrease healthcare costs. It is a slow process and might be the wave of the future, but we are not there yet. TH
Michele B. Kaufman, PharmD, BSc, RPh, is a freelance medical writer based in New York City.
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