November 21, 2008
| Bio-IT World > Predicting Dose Response
Predicting Dose Response


By Kevin Davies

“All substances are poisons; there is none which is not a poison. The right dose differentiates a poison...”
— Paracelsus (1493-1541)

Sept. 13, 2007 | Last month, the FDA issued an important ruling regarding the labeling of warfarin (Coumadin), one of the most commonly prescribed drugs in the United States — but one where dosage is critical. The drug’s label will be revised to note the value of genetic testing in assessing patient dosage, which typically ranges from 1 to 10 mg/day.

“This means personalized medicine is no longer an abstract concept but has moved into the mainstream,” said FDA’s director of clinical pharmacology, Larry Lesko.

Warfarin is a potent anti-coagulant that was first synthesized in 1948 as a rat poison. The drug gained notoriety as a blood thinner when President Eisenhower took it in 1955. Today, more than 2 million Americans suffering from deep-vein thrombosis, heart attacks, and strokes take the drug. By one estimate, warfarin has saved more lives than any other single medication except penicillin.

But dosage mishaps result in about 40,000 ER visits per year (only insulin accounts for more adverse drug hospitalizations), and occasional fatalities. A recent Wall Street Journal article, recounting the saga of a St. Louis woman administered warfarin to treat blood clots in her lungs, concisely described the problem: “The medicine probably helped save her life. Then it almost killed her.” (Genetic tests performed after she was rushed back to hospital due to internal bleeding revealed she required a much lower dose than normal.)

We now know that warfarin activity is influenced by a pair of genes. In 2002, researchers found that two variants in the cytochrome P450 2C9 gene lower the metabolism of the drug, thus posing an increased risk for bleeding. Polymorphisms in the gene for the biochemical target of warfarin — vitamin K epoxide reductase complex 1, VKORC1 — also impact dosage.

In a report just out in Blood, Brian Gage and colleagues at Washington University in St Louis have produced an algorithm (see www.warfarinDosing.org) that factors genotypic data and medical factors to calculate and refine warfarin dosage. In a study of 92 orthopedic patients, Gage found that genotyping (particularly CP2C9) was important in predicting warfarin response, but so too were smoking status, blood loss during surgery, and other medical factors. Other trials are underway, including CROWN (CReating an Optimal Warfarin Nomogram), organized by Brigham & Women’s Hospital, which aims to develop a drug-dosing algorithm that is “superior than the current practice of educated guesses and trial and error.”

Warfarin joins four other drugs with newly introduced genetic language in the label — the chemotherapeutic agents 6-mercaptopurine, azathioprine, and irinotecan, and the ADHD drug atomoxetine. However, the FDA has not gone so far as to stipulate mandatory genotyping in the label’s black box. There has been considerable pushback from healthcare providers and insurers who are worried about liability, cost, and want to see proof — in the form of prospective clinical trials — of the effectiveness of the gene tests.

Even Gage, who says that the gene tests are most valuable in making dosing decisions for about a third of warfarin patients, concedes this is not unreasonable.

Lesko and the FDA are to be commended for actively pushing pharmacogenomics awareness in the medical community. There will be many more drug labeling issues confronting the agency and medical community in the coming years. But the tests are still not widely covered by health insurance firms, which deem them too “experimental.”

Ironically, the day of the FDA’s warfarin decision, the Washington Post reported a twist in the investigation of the cause of death of Jolee Mohr, an Illinois woman receiving an experimental adeno-associated virus (AAV) treatment for arthritis developed by Seattle-based Targeted Genetics. The Post revealed Mohr’s immediate cause of death as a massive fungal infection that seemingly capitalized on her compromised immune system.

Whatever the primary cause of Mohr’s infection proves to be — there is no proven link as yet to the AAV vector, and she was taking several other drugs at the time — it’s another setback for gene therapy, which has been beset with problems since the first such trial in 1990. Even recent successes in treating about a dozen patients suffering from rare immunodeficiencies have been tainted by several cases of leukemia among the treated patients.

Whether it’s a proven lifesaver or a leading-edge therapeutic, there is still so much about the body’s response to drugs that we do not fully understand. 500 years after Paracelsus, we’re still grappling to predict dose response.

Subscribe to Bio-IT World  magazine.

Email Kevin Davies.

Click here to login and leave a comment.  

0 Comments

Add Comment

Text Only 2000 character limit

Page 1 of 1

White Papers & Special Reports

Waters white paper image
Software Helps Doping Control Lab Streamline Results Management
Sponsored by Waters
The Karolinska University Hospital’s Doping Control Lab tests thousands of samples annually for stimulants, diuretics, and other masking agents. Increased regulatory pressure and new technologies increased the number of samples analyzed creating data management challenges. Waters® NuGenesis® Scientific Data Management System and TargetLynx™ Application Manager software were used to reduce the time required to calculate, review and search results.


sas whitepaper92
Managed Innovation, Assured Compliance
Sponsored by SAS
Discovery organizations are identifying a lot of promising compounds, but clinical research processes haven't kept pace with timely testing of all those potential therapies. This white paper describes how SAS® Drug Development supports true innovation across the clinical trial process.

In this white paper you will learn how to:

  • Assemble data to foster better collaboration
  • Get up-to-date information during clinical trials
  • Make informed decisions earlier in the trial process


BlueArc white paper image
Addressing Life Sciences Constantly Growing Data Challenges Research Environments
Sponsored by BlueArc
The continued explosion of raw experimental data, the increased use of video, the growing adoption of new data retention practices, and the move to high throughput computational workflows are all placing new demands on the way life sciences organizations store and manage their data.

Download this white paper to learn about:

  • Factors driving the data explosion in the life sciences
  • New data management issues that must be addressed
  • HPC trends that are placing new demands on storage
  • Storage solution attributes that address performance, manageability, and energy efficiency.


Life Science Webcasts & Podcasts

Medidata Solutions

Rising Clinical Trial Delays and Costs - Addressing the Cause, Not the Symptoms 

medidata podcastProtocol complexity is taking a toll on clinical study speed and efficiency: increasingly complicated and ambitious protocols are not only burdening sites and study volunteers but are also prolonging trials and increasing expenses. In response, sponsors have turned to global study placement, restructured site relationships and new site management practices, but the problem remains.

This podcast will discuss:

  • Why these responses address only the symptoms, not the underlying cause, of rising clinical trial delays and costs.
  • Results of a recent joint Tufts University / Medidata Solutions study.
  • New metrics benchmarking protocol design trends.
  • Systematic protocol design improvements and why they are essential to clinical trial performance excellence.

Speakers: Ken Getz, Senior Research Fellow at the Tufts Center for the Study of Drug Development, and Ed Seguine, General Manager, Trial Planning Solutions at Medidata.

Download Now 



More Podcasts

Job Openings

Director, Center For Information Technology (CIT) - National Institutes of Health  (NIH), Department of Health and Human Service
Located in Bethesda, MD. This position requires:
• High-level vision, leadership, management, and modernization of CIT programs and services.
• Strategic direction and policy development for CIT long-term operations and objectives.
• Serve as a key IT advisor to the NIH Chief Information Officer.
A TOP SECRET security clearance will be required.  More job detail is found at:  http://www.jobs.nih.gov under the Executive Jobs section.Or contact Ms.Winnie Garner at seniorre@od.nih.gov.  Applications must be received ELECTRONICALLY by (11:59 p.m.), December 17, 2008.  DHHS and NIH are Equal Opportunity Employers

Bioinformatics Manager- Lilly Singapore Centre for Drug Discovery
For more information click here 

For reprints and/or copyright permission, please contact The YGS Group, 1808 Colonial Village Lane, Lancaster, PA;

(717) 399-1900 ext. 125, or via email to Ashley.Zander@theYGSgroup.com.