help button home button The Oncologist
HOME HELP CONTACT US SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

  Click here to read this article as a CME course


First Published Online September 30, 2008
The Oncologist, Vol. 13, No. 10, 1055-1062, October 2008; doi:10.1634/theoncologist.2008-0016
© 2008 AlphaMed Press

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplemental Data
Right arrow All Versions of this Article:
theoncologist.2008-0016v1
13/10/1055    most recent
Right arrow eLetters: Submit a response to this article
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article link to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Reprints/Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Stein, W. D.
Right arrow Articles by Fojo, T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Stein, W. D.
Right arrow Articles by Fojo, T.

Clinical Pharmacology

Bevacizumab Reduces the Growth Rate Constants of Renal Carcinomas: A Novel Algorithm Suggests Early Discontinuation of Bevacizumab Resulted in a Lack of Survival Advantage

Wilfred D. Steina,c, James Yangb, Susan E. Batesa, Tito Fojoa

aMedical Oncology Branch and bSurgical Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; cDepartment of Biological Chemistry, Silberman Institute of Life Sciences, Hebrew University, Jerusalem, Israel

Key Words. Bevacizumab • Chemotherapy efficacy • Clear-cell carcinoma • Drug efficacy • Growth rate constant • Premature discontinuation • RECIST • Renal cell carcinoma • Tumor assessment • Tumor measurements

Correspondence: Tito Fojo, M.D., Ph.D., Medical Oncology Branch, National Cancer Institute, Center for Cancer Research, National Institutes of Health, Building 10, Room 12N226, 9000 Rockville Pike, Bethesda, Maryland 20892, USA. Telephone: 301-402-1357; Fax: 301-402-1608; e-mail: tfojo{at}helix.nih.gov

Received March 27, 2008; accepted for publication August 13, 2008; first published online in THE ONCOLOGIST Express on September 30, 2008.

Disclosure: The content of this article has been reviewed by independent peer reviewers to ensure that it is balanced, objective, and free from commercial bias. No financial relationships relevant to the content of this article have been disclosed by the authors, planners, or staff managers.

Background. To hasten cancer drug development, new paradigms are needed to assess therapeutic efficacy. In a randomized phase II study in patients with renal cell carcinoma, 10 µg/kg bevacizumab (Avastin®; Genentech, Inc., South San Francisco, CA) administered every 2 weeks resulted in a longer time to progression but a statistically significant difference in overall survival could not be demonstrated.

Methods. We developed a novel two-phase equation to estimate concomitant rates of tumor regression (regression rate constant) and tumor growth (growth rate constant). This method allows us to assess therapeutic efficacy using tumor measurements gathered while a patient receives therapy in a clinical trial.

Results. The growth rate constants of renal cell carcinomas were significantly lower during therapy with 10 µg/kg bevacizumab than those of tumors in patients receiving placebo. In all cohorts the tumor growth rate constants were correlated with survival. That a survival advantage was not demonstrated with bevacizumab appears to have been a result of early discontinuation of bevacizumab.

Conclusions. Single-agent bevacizumab significantly affects the growth rate constants of renal cell carcinoma. Extrapolating from the growth rate constants, we conclude that the failure to demonstrate a survival advantage in the original study was a result of premature discontinuation of bevacizumab. The mathematical model described herein has applications to many tumor types and should aid in evaluating the relative efficacies of different therapies. Quantitating tumor growth rate constants using data gathered while patients are enrolled in a clinical trial, as in the present study, may streamline and assist in drug development.




This article has been cited by other articles:


Home page
The OncologistHome page
W. D. Stein, W. D. Figg, W. Dahut, A. D. Stein, M. B. Hoshen, D. Price, S. E. Bates, and T. Fojo
Tumor Growth Rates Derived from Data for Patients in a Clinical Trial Correlate Strongly with Patient Survival: A Novel Strategy for Evaluation of Clinical Trial Data
Oncologist, October 1, 2008; 13(10): 1046 - 1054.
[Abstract] [Full Text] [PDF]




HOME HELP CONTACT US SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
THE ONCOLOGIST STEM CELLS CME ALPHAMED PRESS JOURNALS


Copyright © 2008 by AlphaMed Press.