A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases

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  • Alexander M. Bernhardt
  • Steffen Tiedt
  • Daniel Teupser
  • Martin Dichgans
  • Bernhard Meyer
  • Jens Gempt
  • Peer Hendrik Kuhn
  • Mikael Simons
  • Carla Palleis
  • Endy Weidinger
  • Georg Nübling
  • Lesca Holdt
  • Lisa Hönikl
  • Christiane Gasperi
  • Pieter Giesbertz
  • Stephan A. Müller
  • Stephan Breimann
  • Stefan F. Lichtenthaler
  • Bernhard Kuster
  • Axel Imhof
  • Teresa Barth
  • Stefanie M. Hauck
  • Henrik Zetterberg
  • Markus Otto
  • Wilko Weichert
  • Bernhard Hemmer
  • Johannes Levin

A major evolution from purely clinical diagnoses to biomarker supported clinical diagnosing has been occurring over the past years in neurology. High-throughput methods, such as next-generation sequencing and mass spectrometry-based proteomics along with improved neuroimaging methods, are accelerating this development. This calls for a consensus framework that is broadly applicable and provides a spot-on overview of the clinical validity of novel biomarkers. We propose a harmonized terminology and a uniform concept that stratifies biomarkers according to clinical context of use and evidence levels, adapted from existing frameworks in oncology with a strong focus on (epi)genetic markers and treatment context. We demonstrate that this framework allows for a consistent assessment of clinical validity across disease entities and that sufficient evidence for many clinical applications of protein biomarkers is lacking. Our framework may help to identify promising biomarker candidates and classify their applications by clinical context, aiming for routine clinical use of (protein) biomarkers in neurology.

Original languageEnglish
Article number104456
JournalEBioMedicine
Volume89
Number of pages13
ISSN2352-3964
DOIs
Publication statusPublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s)

    Research areas

  • Analytical validity, Biomarker, Clinical utility, Neurology, Protein, Proteomics

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