2015
DOI: 10.2217/bmm.15.90
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Building a Roadmap to Biomarker Qualification: Challenges and Opportunities

Abstract: The traditional route for regulatory acceptance of biomarkers in drug development is through submission of biomarker data in drug approval submissions in the context of a single drug development program. The US FDA's Critical Path Initiative called for establishment of a biomarker qualification process to enable progress in the drug development paradigm. In response to this, the Center for Drug Evaluation and Research (CDER) established a Biomarker Qualification Program (BQP) to qualify a biomarker for a speci… Show more

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Cited by 49 publications
(30 citation statements)
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“…In order to explore these concerns, this special focus issue of Bioanalysis has been dedicated to the BAV and shares with the reader scientific insights, regulatory opinions and relevant case studies of the current processes and industry standards. Moreover, this is a timely and fortuitous happenstance as a recent regulatory initiative [10] and has led to a more harmonized perception of the gaps and necessities of both the BAV and the essential prerequisites for biomarker qualification [11].In an editorial, L Stevenson (Biogen) discusses the critical concepts associated with parallelism assessments in LBA-biomarker assay development and the BAV, which has been an increasingly debated and a popular topic of discussion over recent years in the literature. Here, the key discussion points on this important topic covered in recent public workshops in the USA are described [12].The current situation on BAV in another of the major countries involved in drug development, Japan, is discussed in this issue in an editorial by Saito et al (NIH Sciences).…”
mentioning
confidence: 99%
“…In order to explore these concerns, this special focus issue of Bioanalysis has been dedicated to the BAV and shares with the reader scientific insights, regulatory opinions and relevant case studies of the current processes and industry standards. Moreover, this is a timely and fortuitous happenstance as a recent regulatory initiative [10] and has led to a more harmonized perception of the gaps and necessities of both the BAV and the essential prerequisites for biomarker qualification [11].In an editorial, L Stevenson (Biogen) discusses the critical concepts associated with parallelism assessments in LBA-biomarker assay development and the BAV, which has been an increasingly debated and a popular topic of discussion over recent years in the literature. Here, the key discussion points on this important topic covered in recent public workshops in the USA are described [12].The current situation on BAV in another of the major countries involved in drug development, Japan, is discussed in this issue in an editorial by Saito et al (NIH Sciences).…”
mentioning
confidence: 99%
“…These are low CSF Aβ42 and hippocampal atrophy as measured on magnetic resonance imaging (MRI) (23, 24). No AD biomarkers have been qualified by the FDA, and biomarkers used as outcome measures in trials of DMTs must be established as fit-for-purpose for each trial (25). …”
Section: Biomarkers To Demonstrate Disease Modificationmentioning
confidence: 99%
“…Defining a COU is the cornerstone of the qualification discussion as it determines the level of evidence required to support qualification. This qualification can range from that of diagnostic biomarkers used to identify individuals with the disease or defines a subset of the disease, to prognostic biomarkers used to determine the likelihood of a clinical event, disease recurrence, or progression [2], and to predictive biomarkers that are used as enrichment biomarkers, that are reinforcing trials entry criteria to identify individuals who are more likely to respond to a drug under investigation to a monitoring biomarker that can serve as reflection of drug treatment mechanism of action or treatment outcome, that may eventually become a surrogate biomarker for clinical outcome measures [4]. The level of evidence needed for qualification depends on the category of biomarker (e.g., prognostic, predictive, monitoring, etc.)…”
Section: Backgr9/20/2016oundmentioning
confidence: 99%