Concepts of 'personalization' in personalized medicine: implications for economic evaluation

Some economics on personalized and predictive medicine

OBJECTIVE

To contribute to the theoretical literature on personalized medicine, analyzing and integrating in an economic model, the decision a health authority faces when it must decide on the implementation of personalized medicine in a context of uncertainty.

METHODS

We carry out a stylized model to analyze the decision health authorities face when they do not have perfect information about the best treatment for a population of patients with a given disease. The health authorities decide whether to use a test to match patients with treatments (personalized medicine) to maximize health outcomes. Our model characterizes the situations under which personalized medicine dominates the alternative option of business-as-usual (treatment without previous test). We apply the model to the KRAS test for colorectal cancer, the PCA3 test for prostate cancer and the PCR test for the X-fragile syndrome, to illustrate how the parameters and variables of the model interact.

RESULTS

Implementation of personalized medicine requires, as a necessary condition, having some tests with high discriminatory power. This is not a sufficient condition and expected health outcomes must be taken into account to make a decision. When the specificity and the sensitivity of the test are low, the health authority prefers to apply a treatment to all patients without using the test. When both characteristic of the test are high, the health authorities prefer to personalize the treatments when expected health outcomes are better than those under the standard treatment. When we applied the model to the three aforementioned tests, the results illustrate how decisions are adopted in real world.

CONCLUSIONS

Although promising, the use of personalized medicine is still under scrutiny as there are important issues demanding a response. Personalized medicine may have an impact in the drug development processes, and contribute to the efficiency and effectiveness of health care delivery. Nevertheless, more accurate statistical and economic information related to tests results and treatment costs as well as additional medical information on the efficacy of the treatments are needed to adopt decisions that incorporate economic rationality.

Personalized medicine and economic evaluation in oncology: all theory and no practice?

The clinical definition of personalized medicine (PM) is closely related to that of pharmacogenomics. Ideally, PM could lead the pharmaceutical industry to differentiate products by subgroups of patients with the same pathology and find new gene targets for drug discovery. Here, we focus on the potential impact of PM on the design of clinical trials and economic evaluations limited to oncology (its first and main field of application). Then, we assess the European economic evaluations focused on trastuzumab and cetuximab, the two drugs usually mentioned as emblematic examples of targeted therapies. Clinical results of PM in oncology have not been as encouraging as hoped so far. Of course, economic evaluations on targeted therapies cannot help overcome the lack of clinical evidence for most of them. The two paradigmatic examples of cetuximab and trastuzumab indicate that the methodological implications on economic evaluations debated in the literature are more theoretical than practical.

Oncotyrol--Center for Personalized Cancer Medicine: Methods and Applications of Health Technology Assessment and Outcomes Research

BACKGROUND

The Oncotyrol - Center for Personalized Cancer Medicine is an international and interdisciplinary alliance combining research and commercial competencies to accelerate the development, evaluation and translation of personalized healthcare strategies in cancer. The philosophy of Oncotyrol is to collaborate with relevant stakeholders and advance knowledge "from bench to bedside to population and back". Oncotyrol is funded through the COMET Excellence Program by the Austrian government via the national Austrian Research Promotion Agency (FFG). This article focuses on the role of health technology assessment (HTA) and outcomes research in personalized cancer medicine in the context of Oncotyrol.

METHODS

Oncotyrol, which currently comprises approximately 20 individual projects, has four research areas: Area 1: Biomarker and Drug Target Identification; Area 2: Assay Development and Drug Screening; Area 3: Innovative Therapies; Area 4: Health Technology Assessment and Bioinformatics. Area 4 translates the results from Areas 1 to 3 to populations and society and reports them back to Area 3 to inform clinical studies and guidelines, and to Areas 1 and 2 to guide further research and development.

RESULTS

In a series of international expert workshops, the Oncotyrol International Expert Task Force for Personalized Cancer Medicine developed the Methodological Framework for Early Health Technology Assessment and Decision Modeling in Cancer and practical guidelines in this field. Further projects included applications in the fields of sequential treatment of patients with chronic myeloid leukemia (CML), benefit-harm and cost-effectiveness evaluation of prostate cancer screening, effectiveness and cost-effectiveness of multiple cervical cancer screening strategies, and benefits and cost-effectiveness of genomic test-based treatment strategies in breast cancer.

CONCLUSION

An interdisciplinary setting as generated in Oncotyrol provides unique opportunities such as systematically coordinating lab and bench research, product development, clinical studies and decision science/HTA and transparent joint planning of research and development with a partnership of researchers, manufacturers and health policy decision makers. However, generating a joint research and legal framework with numerous partners from different sectors can be challenging, particularly in the starting period of such an endeavor. The journey to translational personalized medicine through multidisciplinary collaborations may still be long and difficult, but it is evident that it must be continued to turn vision into reality.