Literature DB >> 17925313

The Biomarker-Surrogacy Evaluation Schema: a review of the biomarker-surrogate literature and a proposal for a criterion-based, quantitative, multidimensional hierarchical levels of evidence schema for evaluating the status of biomarkers as surrogate endpoints.

Marissa N Lassere1.   

Abstract

There are clear advantages to using biomarkers and surrogate endpoints, but concerns about clinical and statistical validity and systematic methods to evaluate these aspects hinder their efficient application. Section 2 is a systematic, historical review of the biomarker-surrogate endpoint literature with special reference to the nomenclature, the systems of classification and statistical methods developed for their evaluation. In Section 3 an explicit, criterion-based, quantitative, multidimensional hierarchical levels of evidence schema - Biomarker-Surrogacy Evaluation Schema - is proposed to evaluate and co-ordinate the multiple dimensions (biological, epidemiological, statistical, clinical trial and risk-benefit evidence) of the biomarker clinical endpoint relationships. The schema systematically evaluates and ranks the surrogacy status of biomarkers and surrogate endpoints using defined levels of evidence. The schema incorporates the three independent domains: Study Design, Target Outcome and Statistical Evaluation. Each domain has items ranked from zero to five. An additional category called Penalties incorporates additional considerations of biological plausibility, risk-benefit and generalizability. The total score (0-15) determines the level of evidence, with Level 1 the strongest and Level 5 the weakest. The term ;surrogate' is restricted to markers attaining Levels 1 or 2 only. Surrogacy status of markers can then be directly compared within and across different areas of medicine to guide individual, trial-based or drug-development decisions. This schema would facilitate communication between clinical, researcher, regulatory, industry and consumer participants necessary for evaluation of the biomarker-surrogate-clinical endpoint relationship in their different settings.

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Year:  2007        PMID: 17925313     DOI: 10.1177/0962280207082719

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  42 in total

Review 1.  Is blood pressure reduction a valid surrogate endpoint for stroke prevention? An analysis incorporating a systematic review of randomised controlled trials, a by-trial weighted errors-in-variables regression, the surrogate threshold effect (STE) and the Biomarker-Surrogacy (BioSurrogate) Evaluation Schema (BSES).

Authors:  Marissa N Lassere; Kent R Johnson; Michal Schiff; David Rees
Journal:  BMC Med Res Methodol       Date:  2012-03-12       Impact factor: 4.615

Review 2.  Biomarkers and surrogate end points--the challenge of statistical validation.

Authors:  Marc Buyse; Daniel J Sargent; Axel Grothey; Alastair Matheson; Aimery de Gramont
Journal:  Nat Rev Clin Oncol       Date:  2010-04-06       Impact factor: 66.675

3.  Predicting treatment effect from surrogate endpoints and historical trials: an extrapolation involving probabilities of a binary outcome or survival to a specific time.

Authors:  Stuart G Baker; Daniel J Sargent; Marc Buyse; Tomasz Burzykowski
Journal:  Biometrics       Date:  2011-08-13       Impact factor: 2.571

Review 4.  Markers for nutrition studies: review of criteria for the evaluation of markers.

Authors:  Jan de Vries; Jean-Michel Antoine; Tomasz Burzykowski; Alessandro Chiodini; Mike Gibney; Gunter Kuhnle; Agnès Méheust; Loek Pijls; Ian Rowland
Journal:  Eur J Nutr       Date:  2013-08-17       Impact factor: 5.614

Review 5.  Statistical considerations and endpoints for clinical lung cancer studies: Can progression free survival (PFS) substitute overall survival (OS) as a valid endpoint in clinical trials for advanced non-small-cell lung cancer?

Authors:  Lothar R Pilz; Christian Manegold; Gerald Schmid-Bindert
Journal:  Transl Lung Cancer Res       Date:  2012-03

6.  Rebuttal of the Pro View: Albuminuria Is an Appropriate Therapeutic Target in Patients with CKD.

Authors:  Linda F Fried; Julia Lewis
Journal:  Clin J Am Soc Nephrol       Date:  2015-04-17       Impact factor: 8.237

7.  The Development of Intermediate Clinical Endpoints in Cancer of the Prostate (ICECaP).

Authors:  Christopher Sweeney; Mari Nakabayashi; Meredith Regan; Wanling Xie; Julia Hayes; Nancy Keating; Suhui Li; Tomas Philipson; Marc Buyse; Susan Halabi; Philip Kantoff; A Oliver Sartor; Howard Soule; Brandon Mahal
Journal:  J Natl Cancer Inst       Date:  2015-09-25       Impact factor: 13.506

8.  Cancer biomarker discovery and validation.

Authors:  Nicolas Goossens; Shigeki Nakagawa; Xiaochen Sun; Yujin Hoshida
Journal:  Transl Cancer Res       Date:  2015-06       Impact factor: 1.241

Review 9.  Biomarkers and surrogate endpoints in glaucoma clinical trials.

Authors:  Felipe A Medeiros
Journal:  Br J Ophthalmol       Date:  2014-07-17       Impact factor: 4.638

Review 10.  Meta-analysis for the evaluation of surrogate endpoints in cancer clinical trials.

Authors:  Qian Shi; Daniel J Sargent
Journal:  Int J Clin Oncol       Date:  2009-04-24       Impact factor: 3.402

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