Literature DB >> 22314859

How valid are claims for synergy in published clinical studies?

A Ocana1, E Amir, C Yeung, B Seruga, I F Tannock.   

Abstract

BACKGROUND: Clinical trials evaluating drug combinations are often stimulated by claims of synergistic interactions in preclinical models. Overuse or misuse of the term synergy could lead to poorly designed clinical studies.
METHODS: We searched PubMed using the terms 'synergy' or 'synergistic' and 'cancer' to select articles published between 2006 and 2010. Eligible studies were those that referred to synergy in preclinical studies to justify a drug combination evaluated in a clinical trial.
RESULTS: Eighty-six clinical articles met eligibility criteria and 132 preclinical articles were cited in them. Most of the clinical studies were phase I (43%) or phase II trials (56%). Appropriate methods to evaluate synergy in preclinical studies included isobologram analysis in 18 studies (13.6%) and median effect in 10 studies (7.6%). Only 26 studies using animal models (39%) attempted to evaluate therapeutic index. There was no association between the result of the clinical trial and the use of an appropriate method to evaluate synergy (P=0.25, chi-squared test).
CONCLUSIONS: Synergy is cited frequently in phase I and phase II studies to justify the evaluation of a specific drug combination. Inappropriate methods for evaluation of synergy and poor assessment of therapeutic index have been used in most preclinical articles.

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Year:  2012        PMID: 22314859     DOI: 10.1093/annonc/mdr608

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  20 in total

Review 1.  Appraising iniparib, the PARP inhibitor that never was--what must we learn?

Authors:  Joaquin Mateo; Michael Ong; David S P Tan; Michael A Gonzalez; Johann S de Bono
Journal:  Nat Rev Clin Oncol       Date:  2013-10-15       Impact factor: 66.675

Review 2.  Design of phase I combination trials: recommendations of the Clinical Trial Design Task Force of the NCI Investigational Drug Steering Committee.

Authors:  Channing J Paller; Penelope A Bradbury; S Percy Ivy; Lesley Seymour; Patricia M LoRusso; Laurence Baker; Larry Rubinstein; Erich Huang; Deborah Collyar; Susan Groshen; Steven Reeves; Lee M Ellis; Daniel J Sargent; Gary L Rosner; Michael L LeBlanc; Mark J Ratain
Journal:  Clin Cancer Res       Date:  2014-08-15       Impact factor: 12.531

Review 3.  Is Participation in Cancer Phase I Trials Really Therapeutic?

Authors:  Jonathan Kimmelman
Journal:  J Clin Oncol       Date:  2016-09-30       Impact factor: 44.544

Review 4.  Synergy and antagonism in natural product extracts: when 1 + 1 does not equal 2.

Authors:  Lindsay K Caesar; Nadja B Cech
Journal:  Nat Prod Rep       Date:  2019-06-19       Impact factor: 13.423

5.  Impact of Availability of Companion Diagnostics on the Clinical Development of Anticancer Drugs.

Authors:  Ariadna Tibau; Laura Díez-González; Beatriz Navarro; Eva M Galán-Moya; Arnoud J Templeton; Bostjan Seruga; Atanasio Pandiella; Eitan Amir; Alberto Ocana
Journal:  Mol Diagn Ther       Date:  2017-06       Impact factor: 4.074

Review 6.  Evaluation of synergism in drug combinations and reference models for future orientations in oncology.

Authors:  Diana Duarte; Nuno Vale
Journal:  Curr Res Pharmacol Drug Discov       Date:  2022-05-12

Review 7.  Independent Drug Action in Combination Therapy: Implications for Precision Oncology.

Authors:  Deborah Plana; Adam C Palmer; Peter K Sorger
Journal:  Cancer Discov       Date:  2022-03-01       Impact factor: 38.272

8.  From Famine to Feast: Developing Early-Phase Combination Immunotherapy Trials Wisely.

Authors:  Daphne Day; Arta M Monjazeb; Elad Sharon; S Percy Ivy; Eric H Rubin; Gary L Rosner; Marcus O Butler
Journal:  Clin Cancer Res       Date:  2017-09-01       Impact factor: 12.531

9.  Computational analysis of image-based drug profiling predicts synergistic drug combinations: applications in triple-negative breast cancer.

Authors:  Miriam B Brandl; Eddy Pasquier; Fuhai Li; Dominik Beck; Sufang Zhang; Hong Zhao; Maria Kavallaris; Stephen T C Wong
Journal:  Mol Oncol       Date:  2014-06-19       Impact factor: 6.603

10.  Metabolic profiling-based data-mining for an effective chemical combination to induce apoptosis of cancer cells.

Authors:  Motofumi Kumazoe; Yoshinori Fujimura; Shiori Hidaka; Yoonhee Kim; Kanako Murayama; Mika Takai; Yuhui Huang; Shuya Yamashita; Motoki Murata; Daisuke Miura; Hiroyuki Wariishi; Mari Maeda-Yamamoto; Hirofumi Tachibana
Journal:  Sci Rep       Date:  2015-03-31       Impact factor: 4.379

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