Literature DB >> 19861574

Differential pharmacodynamic effects of paclitaxel formulations in an intracranial rat brain tumor model.

Rong Zhou1, Richard V Mazurchuk, Judith H Tamburlin, John M Harrold, Donald E Mager, Robert M Straubinger.   

Abstract

Nano- and microparticulate carriers can exert a beneficial impact on the pharmacodynamics of anticancer agents. To investigate the relationships between carrier and antitumor pharmacodynamics, paclitaxel incorporated in liposomes (L-pac) was compared with the clinical standard formulated in Cremophor-EL/ethanol (Cre-pac) in a rat model of advanced primary brain cancer. Three maximum-tolerated-dose regimens given by intravenous administration were investigated: 50 mg/kg on day 8 (d8) after implantation of 9L gliosarcoma tumors; 40 mg/kg on d8 and d15; 20 mg/kg on d8, d11, and d15. Body weight change and neutropenia were assessed as pharmacodynamic markers of toxicity. The pharmacodynamic markers of antitumor efficacy were increase in lifespan (ILS) and tumor volume progression, measured noninvasively by magnetic resonance imaging. At equivalent doses, neutropenia was similar for both formulations, but weight loss was more severe for Cre-pac. No regimen of Cre-pac extended survival, whereas L-pac at 40 mg/kg x2 doses was well tolerated and mediated 26% ILS (p < 0.0002) compared with controls. L-pac at a lower cumulative dose (20 mg/kg x3) was even more effective (40% ILS; p < 0.0001). In striking contrast, the identical regimen of Cre-pac was lethal. Development of a novel semimechanistic pharmacodynamic model permitted quantitative hypothesis testing with the tumor volume progression data, and suggested the existence of a transient treatment effect that was consistent with sensitization or "priming" of tumors by more frequent L-pac dosing schedules. Therefore, improved antitumor responses of carrier-based paclitaxel formulations can arise both from dose escalation, because of reduced toxicity, and from novel carrier-mediated alterations of antitumor pharmacodynamic effects.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19861574      PMCID: PMC2812113          DOI: 10.1124/jpet.109.160044

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  40 in total

Review 1.  Optimizing liposomes for delivery of chemotherapeutic agents to solid tumors.

Authors:  D C Drummond; O Meyer; K Hong; D B Kirpotin; D Papahadjopoulos
Journal:  Pharmacol Rev       Date:  1999-12       Impact factor: 25.468

Review 2.  Pharmacodynamic modeling of time-dependent transduction systems.

Authors:  D E Mager; W J Jusko
Journal:  Clin Pharmacol Ther       Date:  2001-09       Impact factor: 6.875

3.  Paclitaxel pharmacodynamics: application of a mechanism-based neutropenia model.

Authors:  G J Fetterly; J M Tamburlin; R M Straubinger
Journal:  Biopharm Drug Dispos       Date:  2001-09       Impact factor: 1.627

4.  Antivasculature effects of doxorubicin-containing liposomes in an intracranial rat brain tumor model.

Authors:  Rong Zhou; Richard Mazurchuk; Robert M Straubinger
Journal:  Cancer Res       Date:  2002-05-01       Impact factor: 12.701

5.  A phase II study of paclitaxel in chemonaïve patients with recurrent high-grade glioma.

Authors:  T J Postma; J J Heimans; S A Luykx; C J van Groeningen; L F Beenen; O S Hoekstra; M J Taphoorn; B A Zonnenberg; M Klein; J B Vermorken
Journal:  Ann Oncol       Date:  2000-04       Impact factor: 32.976

6.  A Phase II study of paclitaxel in patients with recurrent malignant glioma using different doses depending upon the concomitant use of anticonvulsants: a North American Brain Tumor Consortium report.

Authors:  S M Chang; J G Kuhn; H I Robins; S C Schold; A M Spence; M S Berger; M Mehta; I F Pollack; C Rankin; M D Prados
Journal:  Cancer       Date:  2001-01-15       Impact factor: 6.860

7.  Enhancement of paclitaxel delivery to solid tumors by apoptosis-inducing pretreatment: effect of treatment schedule.

Authors:  S H Jang; M G Wientjes; J L Au
Journal:  J Pharmacol Exp Ther       Date:  2001-03       Impact factor: 4.030

8.  Comparison of two pharmacodynamic transduction models for the analysis of tumor therapeutic responses in model systems.

Authors:  Jun Yang; Donald E Mager; Robert M Straubinger
Journal:  AAPS J       Date:  2009-11-10       Impact factor: 4.009

9.  Pharmacokinetic/pharmacodynamic modeling and simulation of neutropenia during phase I development of liposome-entrapped paclitaxel.

Authors:  Gerald J Fetterly; Thaddeus H Grasela; Jeffrey W Sherman; Jeanne L Dul; Amy Grahn; Diane Lecomte; Jill Fiedler-Kelly; Nevena Damjanov; Mayer Fishman; Michael P Kane; Eric H Rubin; Antoinette R Tan
Journal:  Clin Cancer Res       Date:  2008-09-15       Impact factor: 12.531

10.  Multiple-pool cell lifespan models for neutropenia to assess the population pharmacodynamics of unbound paclitaxel from two formulations in cancer patients.

Authors:  Jürgen B Bulitta; Ping Zhao; Robert D Arnold; Dean R Kessler; Richard Daifuku; James Pratt; Gabriel Luciano; Axel-R Hanauske; Hans Gelderblom; Ahmad Awada; William J Jusko
Journal:  Cancer Chemother Pharmacol       Date:  2008-09-13       Impact factor: 3.333

View more
  3 in total

1.  Modified carbazoles destabilize microtubules and kill glioblastoma multiform cells.

Authors:  Philippe Diaz; Eric Horne; Cong Xu; Ernest Hamel; Michael Wagenbach; Ravil R Petrov; Benjamin Uhlenbruck; Brian Haas; Parvinder Hothi; Linda Wordeman; Rick Gussio; Nephi Stella
Journal:  Eur J Med Chem       Date:  2018-09-11       Impact factor: 6.514

2.  Distinct solubility and cytotoxicity regimes of paclitaxel-loaded cationic liposomes at low and high drug content revealed by kinetic phase behavior and cancer cell viability studies.

Authors:  Victoria M Steffes; Meena M Murali; Yoonsang Park; Bretton J Fletcher; Kai K Ewert; Cyrus R Safinya
Journal:  Biomaterials       Date:  2017-08-17       Impact factor: 12.479

3.  Different ODE models of tumor growth can deliver similar results.

Authors:  James A Koziol; Theresa J Falls; Jan E Schnitzer
Journal:  BMC Cancer       Date:  2020-03-17       Impact factor: 4.638

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.