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Phase I study of gemcitabine using a once every 2 weeks schedule
J B Vermorken1, J P Guastalla, S R Hatty
1University Hospital Vrije Universiteit, Amsterdam, Netherlands.
British Journal of Cancer
|January 1, 1997
Summary
This study determined the maximum tolerated dose (MTD) of gemcitabine in advanced cancers using a bi-weekly schedule. While the MTD was high, this gemcitabine dosing schedule was not optimal for efficacy.
Area of Science:
- Oncology
- Pharmacology
- Clinical Trials
Background:
- Gemcitabine is a novel nucleoside analogue with potential in cancer treatment.
- Determining optimal dosing schedules and maximum tolerated doses (MTD) is crucial for novel chemotherapeutics.
- Previous research suggests gemcitabine's efficacy is schedule-dependent rather than dose-dependent.
Purpose of the Study:
- To determine the MTD of gemcitabine in patients with advanced refractory solid tumors.
- To evaluate the safety and toxicity profile of gemcitabine on a once every two weeks schedule.
- To assess the suitability of this bi-weekly gemcitabine schedule for further clinical investigation.
Main Methods:
- A two-center, Phase I clinical trial was conducted.
- Fifty-two patients with advanced refractory solid tumors were enrolled.
- Patients received gemcitabine at escalating doses (40–5700 mg m-2) on a bi-weekly schedule, with weekly toxicity monitoring.
Main Results:
- The MTD for the bi-weekly gemcitabine schedule was determined to be 5700 mg m-2.
- The dose-limiting toxicity was myelosuppression, primarily neutropenia, with other toxicities including nausea, vomiting, fever, and asthenia.
- A single minor response was observed in a heavily pretreated breast cancer patient.
Conclusions:
- The bi-weekly gemcitabine schedule allows for high dose tolerability, exceeding fourfold the recommended weekly dose.
- Despite the high MTD, this specific dosing schedule is likely not the most effective for gemcitabine therapy.
- The study established a clear safety profile for gemcitabine, supporting its continued investigation with optimized schedules.