Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

BACKGROUND: Multiple sclerosis (MS) is a highly heterogeneous disease, both in its course and in its response to treatments. Effective biomarkers may help predict disability progression and monitor patients' treatment responses. OBJECTIVE: The aim of this review was to focus on how biomarkers may contribute to treatment individualisation in MS patients. METHODS: This review reflects the content of presentations, polling results and discussions on the clinical perspective of MS during the first and second Pan-European MS Multi-stakeholder Colloquia in Brussels in May 2014 and 2015. RESULTS: In clinical practice, magnetic resonance imaging (MRI) measures play a significant role in the diagnosis and follow-up of MS patients. Together with clinical markers, the rate of MRI-visible lesion accrual once a patient has started treatment may also help to predict subsequent treatment responsiveness. In addition, several molecular (immunological, genetic) biomarkers have been established that may play a role in predictive models of MS relapses and progression. To reach personalised treatment decisions, estimates of disability progression and likely treatment response should be carefully considered alongside the risk of serious adverse events, together with the patient's treatment expectations. CONCLUSION: Although biomarkers may be very useful for individualised decision making in MS, many are still research tools and need to be validated before implementation in clinical practice.

Original publication




Journal article


Mult Scler

Publication Date





18 - 33


Biological markers, disease progression, drug-related side effects and adverse reactions, magnetic resonance imaging, multiple sclerosis, treatment response, Biomarkers, Cooperative Behavior, Humans, Interdisciplinary Communication, Magnetic Resonance Imaging, Molecular Imaging, Multiple Sclerosis, Precision Medicine, Predictive Value of Tests, Quality Improvement, Quality Indicators, Health Care, Stakeholder Participation