Literature DB >> 9270007

Pharmacokinetic analysis of 5-[18F]fluorouracil tissue concentrations measured with positron emission tomography in patients with liver metastases from colorectal adenocarcinoma.

J Kissel1, G Brix, M E Bellemann, L G Strauss, A Dimitrakopoulou-Strauss, R Port, U Haberkorn, W J Lorenz.   

Abstract

The purpose of our study was to develop a pharmacokinetic model to quantify the intracellular 5-fluorouracil (5-FU) concentration in liver metastases, which is expected to be closely correlated to therapy response. In addition, the influence of the biomodulator folinic acid on the action of 5-FU in the metastases was investigated. After i.v. application of 5-FU labeled with the positron emitter fluorine-18 (5-[18F]FU), the kinetics of the regional 5-[18F]FU/uptake was measured dynamically with positron emission tomography over 120 min in 14 patients with a total of 27 liver metastases from colorectal adenocarcinoma. Activity-time curves were evaluated in the metastases, the normal liver tissue, as well as in the aorta and analyzed by a six-compartment model. The catabolic breakdown of 5-FU to alpha-fluoro-beta-alanine (FBAL) in the normal liver tissue was modeled to separate the catabolites from the cytostatic agent 5-[18F]FU and the active 5-[18F]fluorodeoxyuridine nucleotides. With our model, all measured activity-time courses could be described adequately with only small interindividual variations in parameters connected with liver and blood. Extrahepatic clearance of 5-FU was estimated as 0.66 +/- 0.33 liters/min, whereas the hepatic clearance was 0.52 +/- 0.25 liters/min. The Michaelis-Menten parameters describing the nonlinear conversion of 5-FU to FBAL were Km = 11.3 +/- 6.4 micromol and Vmax = 147.1 +/- 130.7 micromol/min. The maximum FBAL concentration in the liver was reached between 35 and 65 min after i.v. 5-FU infusion. The most sensitive parameters for therapy monitoring were k(in) and k(out), which characterize the transport in and out of the intracellular volume of the metastases, respectively. Tumor response can only be expected if k(in) is high and k(out) is low ("trapping"). These criteria were met by 6 of the 27 metastases, which were identical to those with high values for the area under the intracellular 5-FU concentration curve (AUC[meta,IC]5-FU). The parameters k(in) and k(out) were also used to investigate the influence of the biomodulating agent folinic acid on drug effect. Five of the six metastases that showed trapping belonged to patients who received folinic acid. With the exception of one patient, however, all patients who received folinic acid had multiple metastases, of which only one was able to trap 5-FU. Because patient response can only be expected when all metastases trap 5-FU, folinic acid showed no effect on the overall clinical response. With the quantitative modeling approach used, trapping of 5-FU can be assessed noninvasively and on an individual basis. This makes it possible to adjust the dose for each individual patient to optimize the treatment schedule.

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Year:  1997        PMID: 9270007

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  16 in total

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Authors:  Lisa A Hammond; Louis Denis; Umber Salman; Paul Jerabek; Charles R Thomas; John G Kuhn
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Review 2.  Use of positron emission tomography in anticancer drug development.

Authors:  Eric O Aboagye; Patricia M Price
Journal:  Invest New Drugs       Date:  2003-05       Impact factor: 3.850

Review 3.  Stable isotope-resolved metabolomics and applications for drug development.

Authors:  Teresa W-M Fan; Pawel K Lorkiewicz; Katherine Sellers; Hunter N B Moseley; Richard M Higashi; Andrew N Lane
Journal:  Pharmacol Ther       Date:  2011-12-23       Impact factor: 12.310

Review 4.  Development of radiotracers for oncology--the interface with pharmacology.

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Review 5.  Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

Authors:  Giampaolo Tomasi; Federico Turkheimer; Eric Aboagye
Journal:  Mol Imaging Biol       Date:  2012-04       Impact factor: 3.488

Review 6.  The evolution of imaging in cancer: current state and future challenges.

Authors:  Luke J Higgins; Martin G Pomper
Journal:  Semin Oncol       Date:  2011-02       Impact factor: 4.929

7.  Future of positron-emission tomography in oncology.

Authors:  J E Niederhuber
Journal:  Ann Surg       Date:  1998-03       Impact factor: 12.969

Review 8.  Fluorinated tracers for imaging cancer with positron emission tomography.

Authors:  Olivier Couturier; André Luxen; Jean-François Chatal; Jean-Philippe Vuillez; Pierre Rigo; Roland Hustinx
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-07-06       Impact factor: 9.236

9.  Radiation dose estimates for [18F]5-fluorouracil derived from PET-based and tissue-based methods in rats.

Authors:  Adam L Kesner; Wei-Ann Hsueh; Johannes Czernin; Henry Padgett; Michael E Phelps; Daniel H S Silverman
Journal:  Mol Imaging Biol       Date:  2008-08-05       Impact factor: 3.488

10.  Integrating Dynamic Positron Emission Tomography and Conventional Pharmacokinetic Studies to Delineate Plasma and Tumor Pharmacokinetics of FAU, a Prodrug Bioactivated by Thymidylate Synthase.

Authors:  Jing Li; Seongho Kim; Anthony F Shields; Kirk A Douglas; Christopher I McHugh; Jawana M Lawhorn-Crews; Jianmei Wu; Thomas J Mangner; Patricia M LoRusso
Journal:  J Clin Pharmacol       Date:  2016-11       Impact factor: 3.126

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