Literature DB >> 18827177

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 Stein1, James Yang, Susan E Bates, Tito Fojo.   

Abstract

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 microg/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 microg/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.

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Year:  2008        PMID: 18827177      PMCID: PMC3306833          DOI: 10.1634/theoncologist.2008-0016

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  13 in total

1.  Molecular pathways and the hope of targeting angiogenesis.

Authors:  Cora N Sternberg
Journal:  Nat Clin Pract Urol       Date:  2007-07-10

2.  Sorafenib in advanced clear-cell renal-cell carcinoma.

Authors:  Bernard Escudier; Tim Eisen; Walter M Stadler; Cezary Szczylik; Stéphane Oudard; Michael Siebels; Sylvie Negrier; Christine Chevreau; Ewa Solska; Apurva A Desai; Frédéric Rolland; Tomasz Demkow; Thomas E Hutson; Martin Gore; Scott Freeman; Brian Schwartz; Minghua Shan; Ronit Simantov; Ronald M Bukowski
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

3.  Sunitinib versus interferon alfa in metastatic renal-cell carcinoma.

Authors:  Robert J Motzer; Thomas E Hutson; Piotr Tomczak; M Dror Michaelson; Ronald M Bukowski; Olivier Rixe; Stéphane Oudard; Sylvie Negrier; Cezary Szczylik; Sindy T Kim; Isan Chen; Paul W Bycott; Charles M Baum; Robert A Figlin
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

4.  Predictors of prostate cancer-specific mortality after radical prostatectomy or radiation therapy.

Authors:  Ping Zhou; Ming-Hui Chen; David McLeod; Peter R Carroll; Judd W Moul; Anthony V D'Amico
Journal:  J Clin Oncol       Date:  2005-10-01       Impact factor: 44.544

5.  Identifying patients at risk for significant versus clinically insignificant postoperative prostate-specific antigen failure.

Authors:  Anthony V D'Amico; Ming-Hui Chen; Kimberly A Roehl; William J Catalona
Journal:  J Clin Oncol       Date:  2005-08-01       Impact factor: 44.544

6.  Paclitaxel plus bevacizumab versus paclitaxel alone for metastatic breast cancer.

Authors:  Kathy Miller; Molin Wang; Julie Gralow; Maura Dickler; Melody Cobleigh; Edith A Perez; Tamara Shenkier; David Cella; Nancy E Davidson
Journal:  N Engl J Med       Date:  2007-12-27       Impact factor: 91.245

7.  A randomized trial of bevacizumab, an anti-vascular endothelial growth factor antibody, for metastatic renal cancer.

Authors:  James C Yang; Leah Haworth; Richard M Sherry; Patrick Hwu; Douglas J Schwartzentruber; Suzanne L Topalian; Seth M Steinberg; Helen X Chen; Steven A Rosenberg
Journal:  N Engl J Med       Date:  2003-07-31       Impact factor: 91.245

8.  Adjuvant chemotherapy for gastric cancer with S-1, an oral fluoropyrimidine.

Authors:  Shinichi Sakuramoto; Mitsuru Sasako; Toshiharu Yamaguchi; Taira Kinoshita; Masashi Fujii; Atsushi Nashimoto; Hiroshi Furukawa; Toshifusa Nakajima; Yasuo Ohashi; Hiroshi Imamura; Masayuki Higashino; Yoshitaka Yamamura; Akira Kurita; Kuniyoshi Arai
Journal:  N Engl J Med       Date:  2007-11-01       Impact factor: 91.245

9.  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.

Authors:  Wilfred D Stein; William Doug Figg; William Dahut; Aryeh D Stein; Moshe B Hoshen; Doug Price; Susan E Bates; Tito Fojo
Journal:  Oncologist       Date:  2008-10-06

10.  Temsirolimus, interferon alfa, or both for advanced renal-cell carcinoma.

Authors:  Gary Hudes; Michael Carducci; Piotr Tomczak; Janice Dutcher; Robert Figlin; Anil Kapoor; Elzbieta Staroslawska; Jeffrey Sosman; David McDermott; István Bodrogi; Zoran Kovacevic; Vladimir Lesovoy; Ingo G H Schmidt-Wolf; Olga Barbarash; Erhan Gokmen; Timothy O'Toole; Stephanie Lustgarten; Laurence Moore; Robert J Motzer
Journal:  N Engl J Med       Date:  2007-05-31       Impact factor: 91.245

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  29 in total

Review 1.  Other paradigms: growth rate constants and tumor burden determined using computed tomography data correlate strongly with the overall survival of patients with renal cell carcinoma.

Authors:  Wilfred D Stein; Hui Huang; Michael Menefee; Maureen Edgerly; Herb Kotz; Andrew Dwyer; James Yang; Susan E Bates
Journal:  Cancer J       Date:  2009 Sep-Oct       Impact factor: 3.360

Review 2.  Antiangiogenic therapy: impact on invasion, disease progression, and metastasis.

Authors:  John M L Ebos; Robert S Kerbel
Journal:  Nat Rev Clin Oncol       Date:  2011-03-01       Impact factor: 66.675

3.  Analyzing the pivotal trial that compared sunitinib and IFN-α in renal cell carcinoma, using a method that assesses tumor regression and growth.

Authors:  Wilfred D Stein; Julia Wilkerson; Sindy T Kim; Xin Huang; Robert J Motzer; Antonio Tito Fojo; Susan E Bates
Journal:  Clin Cancer Res       Date:  2012-02-17       Impact factor: 12.531

Review 4.  Immunotherapy in prostate cancer: emerging strategies against a formidable foe.

Authors:  Marijo Bilusic; Christopher Heery; Ravi A Madan
Journal:  Vaccine       Date:  2011-07-07       Impact factor: 3.641

5.  Therapies with diverse mechanisms of action kill cells by a similar exponential process in advanced cancers.

Authors:  Krastan B Blagoev; Julia Wilkerson; Wilfred D Stein; James Yang; Susan E Bates; Tito Fojo
Journal:  Cancer Res       Date:  2014-09-01       Impact factor: 12.701

6.  The acridone derivative MBLI-87 sensitizes breast cancer resistance protein-expressing xenografts to irinotecan.

Authors:  O Arnaud; A Boumendjel; A Gèze; M Honorat; E L Matera; J Guitton; W D Stein; S E Bates; P Falson; C Dumontet; A Di Pietro; L Payen
Journal:  Eur J Cancer       Date:  2011-01-07       Impact factor: 9.162

7.  Demystifying immunotherapy in prostate cancer: understanding current and future treatment strategies.

Authors:  Ravi A Madan; James L Gulley; Philip W Kantoff
Journal:  Cancer J       Date:  2013 Jan-Feb       Impact factor: 3.360

8.  The VEGF inhibitor axitinib has limited effectiveness as a therapy for adrenocortical cancer.

Authors:  Ciara O'Sullivan; Maureen Edgerly; Margarita Velarde; Julia Wilkerson; Aradhana M Venkatesan; Stefania Pittaluga; Sherry X Yang; Dat Nguyen; Sanjeeve Balasubramaniam; Tito Fojo
Journal:  J Clin Endocrinol Metab       Date:  2014-01-01       Impact factor: 5.958

9.  Simplifying the complexity of resistance heterogeneity in metastasis.

Authors:  Orit Lavi; James M Greene; Doron Levy; Michael M Gottesman
Journal:  Trends Mol Med       Date:  2014-01-31       Impact factor: 11.951

10.  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.

Authors:  Wilfred D Stein; William Doug Figg; William Dahut; Aryeh D Stein; Moshe B Hoshen; Doug Price; Susan E Bates; Tito Fojo
Journal:  Oncologist       Date:  2008-10-06
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