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Stratified medicine: strategic and economic implications of combining drugs and clinical biomarkers

Abstract

The potential to use biomarkers for identifying patients that are more likely to benefit or experience an adverse reaction in response to a given therapy, and thereby better match patients with therapies, is anticipated to have a major effect on both clinical practice and the development of new drugs and diagnostics. In this article, we consider current and emerging examples in which therapies are matched with specific patient population characteristics using clinical biomarkers — which we call stratified medicine — and discuss the implications of this approach to future product development strategies and market structures.

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Figure 1: The patient therapeutic continuum.
Figure 2: Stratified medicine in the clinical context.
Figure 3: Necessary conditions for stratified medicine.
Figure 4: Different types of high-revenue medicines.
Figure 5: Potential effects of stratified medicine on the economic value of therapies.

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Competing interests

This research has been supported by the MIT Center for Biomedical Innovation, which receives some of its funding from various biopharmaceutical industry sources. Through Co-Bio Consulting LLC, M.R.T. advises companies, universities and government agencies on biotechnology business and economic development strategies. E.R.B. has consulted for various biotechnology and pharmaceutical companies, federal government agencies, and health maintenance organizations. F.L.D. is Chairman of the Board of Directors of Alantos Pharmaceuticals and Member of the Board of Directors of Gene Logic and Nitromed. He is also scientific advisor to the Bayer HealthCare Group. M.R.T., E.R.B. and F.L.D. are also each uncompensated Special Government Employees at the Office of the Commissioner, U.S. Food and Drug Administration.

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FURTHER INFORMATION

MIT Center for Biomedical Innovation

Tufts Center for the Study of Drug Development press release dated 1 November 2005

Tufts Center for the Study of Drug Development press release dated 9 November 2006

Glossary

Biomarker

A characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes or pharmacological responses to a therapeutic intervention.

Clinical biomarker

A biomarker that associates a treatment to a patient sub-population that has historically showed a differential and substantial clinical response. These can be based on genotypes, proteins, metabonomic patterns, histology, imaging, physician clinical observations or even self-reported patient surveys.

Esoteric diagnostics

High-value molecular tests such as genotyping, gene expression or other 'omics'-based tests.

Gendanken experiment

A mental exercise that examines the essence of a hypothetical situation. Often called 'thought experiments' to distinguish them from physical experiments.

Metabonomics

A systems-oriented approach involving the study of metabolic responses to drugs, diseases and environmental changes by surveying low-mass (<1,000 atomic units) molecules.

Orphan drug

The Orphan Drug Act provides assistance and financial incentives for the development and approval of orphan drugs for diseases that affect patient populations of fewer than 200,000 people in the United States, including marketing exclusivity. Orphan drug exclusivity assures that no other sponsor will receive FDA marketing approval for the same drug for the same indication for 7 years after marketing approval of the innovator's product.

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Trusheim, M., Berndt, E. & Douglas, F. Stratified medicine: strategic and economic implications of combining drugs and clinical biomarkers. Nat Rev Drug Discov 6, 287–293 (2007). https://doi.org/10.1038/nrd2251

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