Literature DB >> 28707346

Relationship between response rates and median progression-free survival in non-Hodgkin's lymphoma: A meta-analysis of published clinical trials.

Naveen Mangal1,2, Ahmed Hamed Salem2, Mengyao Li2,3, Rajeev Menon2, Kevin J Freise2.   

Abstract

Demonstration of clinical effectiveness of a non-Hodgkin's lymphoma (NHL) treatment generally involves determination of progression-free survival (PFS). However, the long evaluation time of PFS limits its utility to make timely decisions in drug development. Therefore, the objective of this analysis was to determine the relationship between response rates and median PFS in NHL. A database was systematically developed from 513 identified NHL trials reported from 1996 to 2015. Potential predictors of the relationship between response rates and PFS were evaluated, including age, sex, treatment, percentage of treatment-naïve patients, and subtype of NHL. Seventy-three trials involving 86 cohorts were included in the meta-analysis. Linear regression analysis using logit of response rates and logarithm of median PFS indicated that the correlation between overall response rate (ORR) and median PFS was higher (R2  = 0.70) when compared to that of complete response (CR) rate and median PFS (R2  = 0.57). Furthermore, the correlation was improved with the addition of percentage of treatment-naïve patients and percentage of patients with follicular lymphoma (FL) (P < .005) between ORR and median PFS (R2  = 0.78), and between CR rate and median PFS relationship (R2  = 0.74). Treatment was not found to alter this relationship. In summary, ORR is as good as CR rate in predicting median PFS. Moreover, longer median PFS is expected in the trials including treatment-naïve and/or FL patients at a given ORR/CR rate. The determined relationship can be used to project the median PFS based on ORR or CR rate.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  meta-analysis; non-Hodgkin's lymphoma; progression-free survival; response rates; surrogate endpoints

Mesh:

Year:  2017        PMID: 28707346     DOI: 10.1002/hon.2463

Source DB:  PubMed          Journal:  Hematol Oncol        ISSN: 0278-0232            Impact factor:   5.271


  3 in total

Review 1.  Model-based meta-analysis of progression-free survival in non-Hodgkin lymphoma patients.

Authors:  Mengyao Li; Nimita Dave; Ahmed Hamed Salem; Kevin J Freise
Journal:  Medicine (Baltimore)       Date:  2017-09       Impact factor: 1.889

Review 2.  Characterizing Exposure-Response Relationship for Therapeutic Monoclonal Antibodies in Immuno-Oncology and Beyond: Challenges, Perspectives, and Prospects.

Authors:  Haiqing Isaac Dai; Yulia Vugmeyster; Naveen Mangal
Journal:  Clin Pharmacol Ther       Date:  2020-08-02       Impact factor: 6.875

3.  A systematic review of meta-analyses assessing the validity of tumour response endpoints as surrogates for progression-free or overall survival in cancer.

Authors:  Katy Cooper; Paul Tappenden; Anna Cantrell; Kate Ennis
Journal:  Br J Cancer       Date:  2020-09-11       Impact factor: 7.640

  3 in total

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