Literature DB >> 21435858

Research outcomes and recommendations for the assessment of progression in cancer clinical trials from a PhRMA working group.

A M Stone1, W Bushnell, J Denne, D J Sargent, O Amit, C Chen, R Bailey-Iacona, J Helterbrand, G Williams.   

Abstract

PURPOSE: Progression free survival (PFS) is increasingly used as a primary end-point in oncology clinical trials. This paper provides recommendations for optimal trial design, conduct and analysis in situations where PFS has the potential to be an acceptable end-point for regulatory approval. PATIENTS AND METHODS: These recommendations are based on research performed by the Pharmaceutical Research and Manufacturers Association (PhRMA) sponsored PFS Working Group, including the re-analysis of 28 randomised Phase III trials from 12 companies/institutions.
RESULTS: (1) In the assessment of PFS, there is a critical distinction between measurement error that results from random variation, which by itself tends to attenuate treatment effect, versus bias which increases the probability of a false negative or false positive finding. Investigator bias can be detected by auditing a random sample of patients by blinded, independent, central review (BICR). (2) ITT analyses generally resulted in smaller treatment effects (HRs closer to 1) than analyses that censor patients for potentially informative events (such as starting other anti-cancer therapy). (3) Interval censored analyses (ICA) are more robust to time-evaluation bias than the log-rank test.
CONCLUSION: A sample based BICR audit may be employed in open or partially blinded trials and should not be required in true double-blind trials. Patients should be followed until progression even if they have discontinued treatment to be consistent with the ITT principle. ICAs should be a standard sensitivity analysis to assess time-evaluation bias. Implementation of these recommendations would standardize and in many cases simplify phase III oncology clinical trials that use a PFS primary end-point.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21435858     DOI: 10.1016/j.ejca.2011.02.011

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  7 in total

Review 1.  Clinical Implications of the Progression-Free Survival Endpoint for Treatment of Hormone Receptor-Positive Advanced Breast Cancer.

Authors:  Virginia G Kaklamani
Journal:  Oncologist       Date:  2016-06-02

2.  Evaluation bias in objective response rate and disease control rate between blinded independent central review and local assessment: a study-level pooled analysis of phase III randomized control trials in the past seven years.

Authors:  Jianrong Zhang; Yiyin Zhang; Shiyan Tang; Hengrui Liang; Difei Chen; Long Jiang; Qihua He; Yu Huang; Xinyu Wang; Kexin Deng; Shuhan Jiang; Jiaqing Zhou; Jiaxuan Xu; Xuanzuo Chen; Wenhua Liang; Jianxing He
Journal:  Ann Transl Med       Date:  2017-12

Review 3.  Summary of the 2019 Blood and Marrow Transplant Clinical Trials Network Myeloma Intergroup Workshop on Minimal Residual Disease and Immune Profiling.

Authors:  Sarah A Holstein; Alan Howard; David Avigan; Manisha Bhutani; Adam D Cohen; Luciano J Costa; Madhav V Dhodapkar; Francesca Gay; Nicole Gormley; Damian J Green; Jens Hillengass; Neha Korde; Zihai Li; Sham Mailankody; Paola Neri; Samir Parekh; Marcelo C Pasquini; Noemi Puig; G David Roodman; Mehmet Kemal Samur; Nina Shah; Urvi A Shah; Qian Shi; Andrew Spencer; Vera J Suman; Saad Z Usmani; Philip L McCarthy
Journal:  Biol Blood Marrow Transplant       Date:  2020-06-24       Impact factor: 5.742

4.  The case against censoring of progression-free survival in cancer clinical trials - A pandemic shutdown as an illustration.

Authors:  Corinne Jamoul; Laurence Collette; Elisabeth Coart; Koenraad D'Hollander; Tomasz Burzykowski; Everardo D Saad; Marc Buyse
Journal:  BMC Med Res Methodol       Date:  2022-10-05       Impact factor: 4.612

5.  Surrogate endpoints for overall survival in chemotherapy and radiotherapy trials in operable and locally advanced lung cancer: a re-analysis of meta-analyses of individual patients' data.

Authors:  Audrey Mauguen; Jean-Pierre Pignon; Sarah Burdett; Caroline Domerg; David Fisher; Rebecca Paulus; Samithra J Mandrekar; Chandra P Belani; Frances A Shepherd; Tim Eisen; Herbert Pang; Laurence Collette; William T Sause; Suzanne E Dahlberg; Jeffrey Crawford; Mary O'Brien; Steven E Schild; Mahesh Parmar; Jayne F Tierney; Cécile Le Pechoux; Stefan Michiels
Journal:  Lancet Oncol       Date:  2013-05-14       Impact factor: 41.316

Review 6.  Systematic bias between blinded independent central review and local assessment: literature review and analyses of 76 phase III randomised controlled trials in 45 688 patients with advanced solid tumour.

Authors:  Jianrong Zhang; Yiyin Zhang; Shiyan Tang; Long Jiang; Qihua He; Lindsey Tristine Hamblin; Jiaxi He; Zhiheng Xu; Jieyu Wu; Yaoqi Chen; Hengrui Liang; Difei Chen; Yu Huang; Xinyu Wang; Kexin Deng; Shuhan Jiang; Jiaqing Zhou; Jiaxuan Xu; Xuanzuo Chen; Wenhua Liang; Jianxing He
Journal:  BMJ Open       Date:  2018-09-10       Impact factor: 2.692

7.  Fragility of randomized trials supporting cancer drug approvals stratified by approval pathway and review designations.

Authors:  Brooke E Wilson; Alexandra Desnoyers; Michelle B Nadler; Ariadna Tibau; Eitan Amir
Journal:  Cancer Med       Date:  2021-07-28       Impact factor: 4.452

  7 in total

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