Bernhardt, Alexander M;
Tiedt, Steffen;
Teupser, Daniel;
Dichgans, Martin;
Meyer, Bernhard;
Gempt, Jens;
Kuhn, Peer-Hendrik;
... Levin, Johannes; + view all
(2023)
A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases.
eBioMedicine
, 89
, Article 104456. 10.1016/j.ebiom.2023.104456.
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Abstract
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.
Type: | Article |
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Title: | A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases |
Location: | Netherlands |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.ebiom.2023.104456 |
Publisher version: | https://doi.org/10.1016/j.ebiom.2023.104456 |
Language: | English |
Additional information: | Copyright © 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Analytical validity, Biomarker, Clinical utility, Neurology, Protein, Proteomics |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
URI: | https://discovery.ucl.ac.uk/id/eprint/10164678 |
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