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A Revolution in R&D

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38<br />

Side-effect-based pharmacogenetics for common side effects<br />

can save a candidate drug that would otherwise fail.<br />

This form of pharmacogenetics does not streaml<strong>in</strong>e<br />

trials; <strong>in</strong> fact, it imposes a moderate <strong>in</strong>crease <strong>in</strong> costs,<br />

s<strong>in</strong>ce more patients have to be recruited <strong>in</strong>itially for<br />

the vett<strong>in</strong>g process. It requires a smaller upside to<br />

break even than efficacy-based pharmacogenetics,<br />

however, s<strong>in</strong>ce its powers of exclusion apply only to<br />

the second type of patient (those who would ord<strong>in</strong>arily<br />

try the drug and then discont<strong>in</strong>ue it). They do<br />

not apply to the first group (those who would take a<br />

full course of the drug), s<strong>in</strong>ce placebo responders<br />

do not suffer from side effects.<br />

Side-effect-based pharmacogenetics for very rare side effects<br />

is the type that would be applied for a drug already<br />

on the market. Once the number of adverse events<br />

(<strong>in</strong>stances of severe side effects) reaches a critical<br />

mass, the drug’s reputation suffers, and its cont<strong>in</strong>ued<br />

marketability is jeopardized. (In severe cases,<br />

regulatory agencies require the drug to be removed<br />

from the market.) To salvage it would <strong>in</strong>volve implement<strong>in</strong>g<br />

screen<strong>in</strong>g tests for all potential patients—<br />

a k<strong>in</strong>d of postmarket surveillance. This type of<br />

pharmacogenetics would <strong>in</strong>crease costs fairly<br />

steeply, yet it could still make economic sense if the<br />

drug were saved.<br />

The economics h<strong>in</strong>ge on a paradox: the fewer the<br />

adverse events, the harder it might be to save the<br />

drug. To identify the culprit genetic marker for use<br />

<strong>in</strong> the screen<strong>in</strong>g test, you need a certa<strong>in</strong> m<strong>in</strong>imum<br />

number of patients who have experienced the side<br />

effect. That could be as low as 20 (assum<strong>in</strong>g you<br />

achieved a 100 percent association with a s<strong>in</strong>gle<br />

SNP marker), and that would carry the modest<br />

price tag of $100,000 (assum<strong>in</strong>g the expected genotyp<strong>in</strong>g<br />

cost of one cent per SNP). But the required<br />

number could be 2,000 (assum<strong>in</strong>g you achieved<br />

only a 10 percent association), and the likelihood is<br />

that such a number of side-effect sufferers would<br />

simply never emerge.<br />

It’s a crime that a very small percentage of patients<br />

can sometimes elim<strong>in</strong>ate an otherwise highly beneficial<br />

drug from the market. Pharmacogenetics benefits<br />

everyone here.<br />

—Research executive,<br />

lead<strong>in</strong>g pharmaceutical company<br />

F<strong>in</strong>ally, market-expansion pharmacogenetics for the<br />

most part has highly favorable economics. S<strong>in</strong>ce its<br />

effect is to expand rather than contract the market,<br />

all it needs to ensure is that the expansion be large<br />

enough to cover the cost of the required trial.<br />

The prospects h<strong>in</strong>ge to some extent on the <strong>in</strong>cidence<br />

of the genetic variant. Consider two drugs,<br />

one produc<strong>in</strong>g side effects <strong>in</strong> poor CYP2D19<br />

metabolizers (<strong>in</strong>clud<strong>in</strong>g 20 percent of Asians) and<br />

the other <strong>in</strong> poor CYP2D6 metabolizers (<strong>in</strong>clud<strong>in</strong>g<br />

7 percent of Caucasians); and suppose that dosage<br />

adjustments could resolve the side effects. It might<br />

turn out that the former case warrants the <strong>in</strong>vestment<br />

and the latter does not, given the difference<br />

<strong>in</strong> their potential market expansions.<br />

All <strong>in</strong> all, these limitations reduce the expected sav<strong>in</strong>gs<br />

that pharmacogenetics would bestow on an<br />

average drug to about $75 million. But of course<br />

there is no such th<strong>in</strong>g as a true “average” drug. In<br />

some cases, pharmacogenetics could yield potential<br />

sav<strong>in</strong>gs as high as $335 million and potentially capture<br />

additional upside through price premiums or<br />

an <strong>in</strong>crease <strong>in</strong> market share. In other cases, it might<br />

save noth<strong>in</strong>g, or even destroy value <strong>in</strong> the market.<br />

The key to success is to be selective.<br />

Implement<strong>in</strong>g Pharmacogenetics<br />

Although the sav<strong>in</strong>gs atta<strong>in</strong>able through pharmacogenetics<br />

appear less dramatic than those atta<strong>in</strong>able<br />

through disease genetics, they are <strong>in</strong> the right circumstances<br />

quite substantial. And the total value<br />

added would be enormous if the hoped-for market<br />

advantages were realized.

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