Pharmacogenomics in Drug Discovery and Development
The new knowledge of genetic biomarkers for
diseases is spurring the development of pharmacogenomic-based drugs discovery
and development strategies that allow pharmaceutical companies design more
individualized drug regimens and dosages (Wechsler, 2001). This is accomplished
by identifying genetic conditions that allow individuals to be more likely to
respond to certain drugs, not respond at all or be susceptible to adverse
reactions (Bernard, 2003; Whittaker, 2003; Wechsler, 2004).
Several studies have cited adverse drug
reactions to be one of the leading causes of death among hospitalized patients,
contributing the majority of the $17 to $29 billion annual costs of medical
errors (Lazarou et al., 1998; Kohn et
al., 1999; Prows & Prows, 2004). Kohn et al., (1999) also note the cost associated with the loss of
confidence in the healthcare system and the diminishing satisfaction of both
patients and health professionals.
Pharmacogenomics
is expected to reverse this trend by enabling pharmaceutical companies to
design drugs that meet the needs of pre-defined genetic sub-groups of the
general population (Rioux, 2000). Pharmacogenomics cannot and does not improve
the efficacy of a given drug; it simply helps in selecting patients who are
likely to respond well (Rioux, 2000). The main interest is in identifying
patients for whom drug efficacy can be predicted, and to spare others from
avoidable adverse effects (Rioux, 2000). The promise of pharmacogenomics is
that physicians may soon be able to prescribe drugs on the basis of their
patients’ genetic profiles (Prows & Prows, 2004; Zemlo, 2004). This would take away the guesswork in drug
prescriptions, increase both physician and patient confidence and radically
modify the prevailing approaches to drug discovery and development,
diagnostics, therapies and disease prevention strategies (Prows & Prows, 2004;
Zemlo, 2004). There is also a benefit to society as the use of expensive drugs
is avoided in patients whose ailments clearly would not have been abated or
cured by these drugs (Rioux, 2000).
As noted earlier, adverse drug reactions in the general population often
results in hospitalizations and in some cases fatalities (Lazarou et al., 1998; Kohn et al., 1999; Prows &
Prows, 2004).
When these drug reactions are investigated and documented, and the culprit drug
identified, the result commonly is a withdrawal (or recall) of the drug
(Bernard, 2003). This is immediately followed by a torrent of lawsuits for
negligence and pharmaceutical malpractice (Simons et al., 2004). A pharmacogenomic drug development strategy presents
an opportunity to reverse this trend (Bernard, 2003; Zemlo, 2004). The promise
of pharmacogenomics may lead to the “accelerated development of precision
pharmaceuticals” (Zemlo, 2004). Precision pharmaceuticals refer to drugs (and
dosages of these drugs) that are tailored to an individual’s genetic composition
(Bernard, 2003; Zemlo, 2004). These drugs according to Zemlo (2003) can be can
be evaluated in simplified and shortened clinical trials and because of their
customization will show little or no adverse effects. With drug customizations,
some form of genetic testing or verification may be required prior to
prescription (Bernard, 2003). This ensures that the chances for wrong
prescriptions are greatly minimized (Bernard, 2003).
In the course of drug discovery and development, pharmaceutical companies
stay mostly focused on the major blockbuster drugs that are prescribed to
upwards of 20 million people (Klein & Tabarrok, 2003; Drews & Duyk, 2004; Tait
and Mittra, 2004). The result of this is a drug loss – a loss of drugs that may
have been developed to cure diseases that affect only a small number of people
(Klein & Tabarrok, 2003). These drugs – or potential drugs are
abandoned or orphaned (Klein & Tabarrok, 2003). A pharmacogenomic strategy
to drug development may revive these orphaned drugs if it can be demonstrated
that there are potential beneficiaries for these drugs (Bernard, 2003).
Similarly, Rioux (2000) has suggested that “from an economics standpoint, if
the pharmaceutical company could benefit from something like orphan drug status
for its product, this would help encourage stratification of populations on the
basis of pharmacogenomics, since the reduction in the size of a population to
be treated could be offset by preference for the drug”. This according to Rioux
(2000) is the only way that pharmaceutical companies can be encouraged to forgo
the blockbuster dogma.
The FDA in recent years has recognized and even encouraged pharmacogenomic
approaches to drug discovery and delivery (Rioux, 2000; Wechsler, 2004). As
pharmacogenomic technologies continue to emerge and mature, the FDA as well as
other international regulatory bodies is developing pharmacogenomic guidelines
and regulations (Bernard, 2003). In fact, the FDA is encouraging pharmaceutical
companies to conduct pharmacogenomic research and submit results to a proposed
“Interdisciplinary Pharmacogenomic Review Group” – a group that is not directly
involved in the drug approval process (Bernard, 2003). Notwithstanding the
increased attention and the documented potential and promise of pharmacogenomics-based
drug development strategies, there has been continuous resistance to this
approach on the part of pharmaceutical companies (Rioux, 2000; Bernard, 2003;
Wechsler, 2004). This resistance is borne out of the perception that a
pharmacogenomics strategy will lead to a significant loss of revenues resulting
from the fragmentation of the drug market (Rioux, 2000; Bernard, 2003). Bernard
(2003) in his article “The 5 Myths of pharmacogenomics” lists as the 4th
myth, the perception that pharmacogenomics will diminish the much coveted
blockbuster drug model. He goes on to debunk this “myth” by demonstrating the
potential market-increase impacts of pharmacogenomics. In the diagram below,
Bernard (2003) shows a holistic representation of the possibilities with
pharmacogenomics.
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