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A. Filieri
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P1.01 - Poster Session/ Treatment of Advanced Diseases – NSCLC (ID 206)
- Event: WCLC 2015
- Type: Poster
- Track: Treatment of Advanced Diseases - NSCLC
- Presentations: 1
- Moderators:
- Coordinates: 9/07/2015, 09:30 - 17:00, Exhibit Hall (Hall B+C)
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P1.01-044 - Cost-Effectiveness of Chemotherapy Based on the Tumor Genetic Profile in Elderly Patients with Advanced Non-Small-Cell Lung Cancer (ID 1656)
09:30 - 09:30 | Author(s): A. Filieri
- Abstract
Background:
Platinum-Based chemotherapy is still the cornerstone in the treatment of Non-Small Cell Lung Cancer (NSCLC), in non oncogene-addicted patients (pts). Therapeutic algorithm is established on the basis of patient and disease characteristics, such as histology and radiologic features. Pharmagenomic-driven trials are investigating the role of different markers in predicting efficacy and toxicity in NSCLC pts. A better selection of a right therapy for the right patient would improve outcomes ameliorating tolerability and optimize the resources available. The aim of the present study is to carry out a cost-effectiveness analysis, in order to evaluate the economic efficiency of 1st line chemotherapy within a clinical trial (EPIC eudract N 2012-001194-81), in elderly pts affected from advanced NSCLC, looking at efficacy and tolerability.
Methods:
The study population consisted in Elderly Patients Individualized Chemotherapy (EPIC) trial enrolled at San Luigi Hospital (Orbassano-Italy, coordinating centre) from July 2012 to August 2014. Main recruitment criteria: chemotherapy-naïve pts diagnosed with stage IV NSCLC, aged≥70 years, no activating EGFR mutations. We evaluated 48 pts randomised (2:1 ratio) to receive pharmacogenomics-driven chemotherapy assessed according to the genetic profile of primary tumours based on expression of ERCC1, RRM1 and TS evaluated by “Real-Time PCR” (arm A) or standard chemotherapy (arm B). Costs of treatments were calculated using National Health System (NHS) direct costs and 12 months time-horizon. Effectiveness was estimated as Progression Free Survival (PFS). The Incremental Cost-Effectiveness Ratio (ICER) was calculated and pharma-economic analysis was performed setting the Willingness To Pay (WTP) threshold value at 40,000€ per free-disease month gained. The reliability of results was assessed by a probabilistic sensitivity analysis based on “Monte Carlo” method (10,000 simulations) changing the costs and effectiveness variables simultaneously. Number and grade of adverse events were used to determine the tolerability profile.
Results:
The average cost per patient was 10,278.38€ (arm A) and 8,659.53€ (arm B). Related ICER was 4,496.80€ per free-disease month gained and 53,961.73€ per year gained (over the WTP threshold). The scatterplot generated in the sensitivity analysis indicated that higher densities of ICERs, calculated for each simulation, took place at the cross over of the Cartesian axes indicating that there is no clear prevalence of treatment cost-effectiveness. Moreover, the Cost-Effectiveness Acceptability Curve (CEAC) was calculated. This curve demonstrated that treatment A had 35% of probability to be cost-effectiveness.
Conclusion:
This preliminary evaluation, conducted in a subgroup of pts, suggests the relevance of pharmacoeconomic analysis within a clinical trial looking at the best way to identify a tailored treatment in non-oncogene addicted NSCLC pts. Further data will be collected in a larger simple size. Personalised chemotherapy is a potential method addressing both the optimisation of the effectiveness of therapeutic agents and the minimisation of adverse events, objectives even more relevant for elderly and fragile patients, given the possibility to optimize the use of scarce resources available.
