Literature DB >> 29171289

Preclinical biomarker qualification.

John-Michael Sauer1, Amy C Porter1.   

Abstract

Biomarkers are ubiquitously used within drug development programs in both nonclinical species and in humans to assess safety and efficacy of novel compounds. To routinely apply such novel biomarkers with certainty, a well-defined data package is necessary for review and endorsement by regulatory agencies including the US Food and Drug Administration, European Medicines Agency, and Japanese Pharmaceuticals and Medical Devices Agency. This type of endorsement is known as regulatory qualification. Novel approaches are being applied to speed the process, lower the resource intensity, and increase the accessibility of biomarker qualification data and it is likely that consortia will continue to play a fundamental role in the qualification process by bringing together like-minded stakeholders focused on specific tools to accelerate drug development. This article will focus on learnings from the previous three nonclinical biomarker qualification projects, as well as discuss the progression of preclinical biomarker projects into the clinical qualification space and the current strategy for the use of nonclinical biomarker data in the translational qualification of clinical biomarkers; much like nonclinical information is used in the approval of drug development candidates. Impact statement This minireview provides an overview of the history of preclinical biomarker qualification by summarizing the three examples of this type of qualification with US Food and Drug Administration, European Medicines Agency, and Japanese Pharmaceuticals and Medical Devices Agency. In addition, an overview of the biomarker qualification process is included to educate key stakeholders with links to relevant white papers that provide information on current evidentiary considerations. The manuscript also provides new information on the evolution of the role that preclinical qualification plays in clinical qualification of biomarkers and the novel approaches that are being utilized to improve the process.

Entities:  

Keywords:  Biomarker; context of use; drug development tool; preclinical; regulatory qualification; safety

Mesh:

Substances:

Year:  2017        PMID: 29171289      PMCID: PMC5813870          DOI: 10.1177/1535370217743949

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  3 in total

1.  Urinary clusterin, cystatin C, beta2-microglobulin and total protein as markers to detect drug-induced kidney injury.

Authors:  Frank Dieterle; Elias Perentes; André Cordier; Daniel R Roth; Pablo Verdes; Olivier Grenet; Serafino Pantano; Pierre Moulin; Daniel Wahl; Andreas Mahl; Peter End; Frank Staedtler; François Legay; Kevin Carl; David Laurie; Salah-Dine Chibout; Jacky Vonderscher; Gérard Maurer
Journal:  Nat Biotechnol       Date:  2010-05       Impact factor: 54.908

2.  Building a roadmap to biomarker qualification: challenges and opportunities.

Authors:  Shashi G Amur; Sarmistha Sanyal; Aloka G Chakravarty; Marianne H Noone; James Kaiser; Susan McCune; ShaAvhree Y Buckman-Garner
Journal:  Biomark Med       Date:  2015-11-03       Impact factor: 2.851

3.  Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies.

Authors:  Vishal S Vaidya; Josef S Ozer; Frank Dieterle; Fitz B Collings; Victoria Ramirez; Sean Troth; Nagaraja Muniappa; Douglas Thudium; David Gerhold; Daniel J Holder; Norma A Bobadilla; Estelle Marrer; Elias Perentes; André Cordier; Jacky Vonderscher; Gérard Maurer; Peter L Goering; Frank D Sistare; Joseph V Bonventre
Journal:  Nat Biotechnol       Date:  2010-05       Impact factor: 54.908

  3 in total
  4 in total

1.  Evaluation of Renal Biomarkers, Including Symmetric Dimethylarginine, following Gentamicin-Induced Proximal Tubular Injury in the Rat.

Authors:  Diane M Hamlin; A Eric Schultze; Michael J Coyne; Donald J McCrann; Rebekah Mack; Corie Drake; Rachel E Murphy; Julie Cross; Marilyn Strong-Townsend; Maha Yerramilli; Mary K Leissinger
Journal:  Kidney360       Date:  2021-12-07

Review 2.  Biosignature Discovery for Substance Use Disorders Using Statistical Learning.

Authors:  James W Baurley; Christopher S McMahan; Carolyn M Ervin; Bens Pardamean; Andrew W Bergen
Journal:  Trends Mol Med       Date:  2018-02-04       Impact factor: 11.951

Review 3.  The acute respiratory distress syndrome biomarker pipeline: crippling gaps between discovery and clinical utility.

Authors:  Christian Bime; Sara M Camp; Nancy Casanova; Radu C Oita; Juliet Ndukum; Heather Lynn; Joe G N Garcia
Journal:  Transl Res       Date:  2020-06-26       Impact factor: 7.012

Review 4.  A Framework to Advance Biomarker Development in the Diagnosis, Outcome Prediction, and Treatment of Traumatic Brain Injury.

Authors:  Elisabeth A Wilde; Ina-Beate Wanner; Kimbra Kenney; Jessica Gill; James R Stone; Seth Disner; Caroline Schnakers; Retsina Meyer; Eric M Prager; Magali Haas; Andreas Jeromin
Journal:  J Neurotrauma       Date:  2022-02-14       Impact factor: 5.269

  4 in total

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