Objective: Current precision medicine approaches offer powerful tools to optimize medication regimens; however, the potential impact of these tools in cancer patients with multiple drug treatments has not fully appreciated yet. Here we describe a planning project scheduled to start in the next six months.
Patients and methods: The overall endpoint of this project is to explore the potential association between the presence of individual genetic profile and severe toxicity rates in so-called "frail" cancer patients, using a nested case-control study design. The pilot study includes the detection of the individual pharmacogenetic profile of 150 (cases), prospect enrolled cancer "frail" patients, and 150 (control) retrospectively paired enrolled individuals. Methods for addressing the primary endpoint include: (a) Evaluation of cost-effectiveness analysis by recording QALY criteria; (b) Data recording by a brief self-administered questionnaire used to evaluate the adherence of a patient's tests and the impact of this genotyping on the patient's adverse drug reactions (ADR); (c) A sample size of paired (for age, gender, education, social status, geriatric syndromes, number of medications and comorbidities) 150 (cases) and 150 (controls); (d) Genotyping method choice by current widely diffuse platforms.
Results: The investigators believe that genotype screening and the management of the overall cost of health care personalized therapy has the potential to reduce the health care costs of the Italian national health system (SSN).
Conclusions: Finally, the innovative issue of this project is to advocate the creation of a new model of the co-operative team (Physicians, pharmacist, geneticist and lab manager) that join for planning the most appropriated personalized therapy for their patient.