ESTIMATING LIFE-YEAR GAINS OF TUMOR TREATING FIELDS AFTER FIRST PROGRESSION IN NEWLY DIAGNOSED GLIOBLASTOMA
Author(s)
Jorge F. Nino de Rivera Guzman, MSc1, Gordon Vincent Chavez, BA2, Bruce Wang, PhD3.
1Health Economy specialist, Novocure, Glendale, CO, USA, 2Novocure, Brooklyn, NY, USA, 3Elysia Group, LLC, New York, NY, USA.
1Health Economy specialist, Novocure, Glendale, CO, USA, 2Novocure, Brooklyn, NY, USA, 3Elysia Group, LLC, New York, NY, USA.
OBJECTIVES: Many eligible patients stop Tumor Treating Fields (TTFields) treatment at first progression, due to a variety of reasons, which carries a survival cost. We estimated the overall survival benefit, measured as population life-years gained, of continuing TTFields treatment for eligible glioblastoma patients instead of discontinuing it, within a hypothetical US healthcare system of 70 million beneficiaries, to evaluate the benefit of treatment persistence.
METHODS: Overall survival (OS) was taken from Kaplan-Meier curves for two cohorts of TTFields-treated glioblastoma patients: those who continued therapy (persistent) and those who discontinued at progression. For each cohort, we estimated mean survival as the area under the curve and per-patient life-years gained as the difference between cohorts. We sized the eligible population with an epidemiological funnel (system beneficiaries × glioblastoma incidence × clinical eligibility) and reported a range for the treated population bounded below by observed real-world TTFields uptake (52% of clinically eligible patients) and above by treatment of all clinically eligible patients (100%). Funnel inputs assumed a GBM incidence of 3.28 per 100,000/year (CBTRUS 2018-2022) and a TTFields opt-in rate of 82% (TIGER trial, JCO 2024).
RESULTS: Patients who stayed on treatment after first progression lived 2.53 LYs compared to 2.03 LYs for those discontinuing at progression, a gain of 0.50. A four-parameter one-way sensitivity analysis (real-world uptake, per-patient OS, GBM incidence, and TTFields eligibility) was conducted to corroborate the results.
CONCLUSIONS: Continuing Tumor Treating Fields after first progression was associated with longer overall survival (0.50 life-years per patient) and progression-free survival (0.356 per patient) than discontinuing. These gains support the clinical value of continuing therapy for eligible glioblastoma patients as per label rather than stopping at progression.
METHODS: Overall survival (OS) was taken from Kaplan-Meier curves for two cohorts of TTFields-treated glioblastoma patients: those who continued therapy (persistent) and those who discontinued at progression. For each cohort, we estimated mean survival as the area under the curve and per-patient life-years gained as the difference between cohorts. We sized the eligible population with an epidemiological funnel (system beneficiaries × glioblastoma incidence × clinical eligibility) and reported a range for the treated population bounded below by observed real-world TTFields uptake (52% of clinically eligible patients) and above by treatment of all clinically eligible patients (100%). Funnel inputs assumed a GBM incidence of 3.28 per 100,000/year (CBTRUS 2018-2022) and a TTFields opt-in rate of 82% (TIGER trial, JCO 2024).
RESULTS: Patients who stayed on treatment after first progression lived 2.53 LYs compared to 2.03 LYs for those discontinuing at progression, a gain of 0.50. A four-parameter one-way sensitivity analysis (real-world uptake, per-patient OS, GBM incidence, and TTFields eligibility) was conducted to corroborate the results.
CONCLUSIONS: Continuing Tumor Treating Fields after first progression was associated with longer overall survival (0.50 life-years per patient) and progression-free survival (0.356 per patient) than discontinuing. These gains support the clinical value of continuing therapy for eligible glioblastoma patients as per label rather than stopping at progression.
Conference/Value in Health Info
2026-11, ISPOR Europe 2026, Vienna, Austria
Value in Health, Volume 29, Issue 12S
Code
EE384
Topic
Economic Evaluation, Medical Technologies
Disease
Oncology