Literature DB >> 21266203

Analysis of tumor burden versus progression-free survival for Phase II decision making.

Jane Fridlyand1, Lee D Kaiser, Gwen Fyfe.   

Abstract

PURPOSE: There have been recent recommendations to use percentage change in tumor burden (dTB) as a primary endpoint in randomized Phase II trials. We assessed whether dTB is better for the decision to start a Phase III trial than is progression-free survival (PFS).
METHODS: We repeatedly sampled patients from six large randomized trials to obtain simulated Phase II trials. We derived PFS and dTB endpoints on the trial patients and determined the fraction of simulated trials with positive results for each endpoint. We supplemented these analyses with regression analyses to assess the ability of PFS and dTB to predict overall survival (OS).
RESULTS: The best PFS endpoint included tumor assessments through 6 months after the last patient enrolled. With 70 patients in each simulated Phase II trial, the estimated rate of a correct 'Phase III go' decision ranged from 0.74 to 0.91 across the six parent studies. The best dTB endpoint was the last dTB through 6 months after the last patient enrolled, with corresponding rates of 0.54 to 0.81. The PFS rate was better than the dTB rate in five studies. PFS and dTB are individually statistically significant predictors of OS (p < 0.05). In all six studies PFS added significantly to the regression models with dTB included, while in only two studies did dTB add significantly to the regression model with PFS included.
CONCLUSION: Analysis of PFS in randomized Phase II trials generally leads to better 'Phase III go' decisions than does analysis of dTB. Tumor burden analyses should be used in supportive analyses to a primary PFS analysis.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21266203     DOI: 10.1016/j.cct.2011.01.010

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  4 in total

1.  Resampling phase III data to assess phase II trial designs and endpoints.

Authors:  Manish R Sharma; Theodore G Karrison; Yuyan Jin; Robert R Bies; Michael L Maitland; Walter M Stadler; Mark J Ratain
Journal:  Clin Cancer Res       Date:  2012-01-27       Impact factor: 12.531

2.  Impact of disease progression date determination on progression-free survival estimates in advanced lung cancer.

Authors:  Yingwei Qi; Katie L Allen Ziegler; Shauna L Hillman; Mary W Redman; Steven E Schild; David R Gandara; Alex A Adjei; Sumithra J Mandrekar
Journal:  Cancer       Date:  2012-03-20       Impact factor: 6.860

3.  Enhanced Detection of Treatment Effects on Metastatic Colorectal Cancer with Volumetric CT Measurements for Tumor Burden Growth Rate Evaluation.

Authors:  Michael L Maitland; Julia Wilkerson; Sanja Karovic; Binsheng Zhao; Jessica Flynn; Mengxi Zhou; Patrick Hilden; Firas S Ahmed; Laurent Dercle; Chaya S Moskowitz; Ying Tang; Dana E Connors; Stacey J Adam; Gary Kelloff; Mithat Gonen; Tito Fojo; Lawrence H Schwartz; Geoffrey R Oxnard
Journal:  Clin Cancer Res       Date:  2020-09-28       Impact factor: 12.531

4.  Comparative Effects of CT Imaging Measurement on RECIST End Points and Tumor Growth Kinetics Modeling.

Authors:  C H Li; R R Bies; Y Wang; M R Sharma; S Karovic; L Werk; M J Edelman; A A Miller; E E Vokes; A Oto; M J Ratain; L H Schwartz; M L Maitland
Journal:  Clin Transl Sci       Date:  2016-01-21       Impact factor: 4.689

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.