New directions in clinical trials for frontotemporal lobar degeneration: Methods and outcome measures

0301 basic medicine Aging LEFFTDS Clinical Sciences Clinical Trials and Supportive Activities 610 ARTFL Clinical sciences Neurodegenerative Frontotemporal lobar degeneration 03 medical and health sciences Rare Diseases Clinical Research C9orf72 Acquired Cognitive Impairment MAPT Humans Alzheimer's Disease Related Dementias (ADRD) Clinical Trials as Topic Biomedical and Clinical Sciences Progressive supranuclear palsy Neurosciences Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) FTD Biomarker Congresses as Topic Magnetic Resonance Imaging Brain Disorders 3. Good health Clinical trial Frontotemporal Dementia (FTD) Geriatrics Biological psychology Dementia Primary progressive aphasia Atrophy Frontotemporal Lobar Degeneration FTLD Frontotemporal dementia GRN Biomarkers
DOI: 10.1016/j.jalz.2019.06.4956 Publication Date: 2019-10-24T00:57:57Z
ABSTRACT
AbstractIntroductionFrontotemporal lobar degeneration (FTLD) is the most common form of dementia for those under 60 years of age. Increasing numbers of therapeutics targeting FTLD syndromes are being developed.MethodsIn March 2018, the Association for Frontotemporal Degeneration convened the Frontotemporal Degeneration Study Group meeting in Washington, DC, to discuss advances in the clinical science of FTLD.ResultsChallenges exist for conducting clinical trials in FTLD. Two of the greatest challenges are (1) the heterogeneity of FTLD syndromes leading to difficulties in efficiently measuring treatment effects and (2) the rarity of FTLD disorders leading to recruitment challenges.DiscussionNew personalized endpoints that are clinically meaningful to individuals and their families should be developed. Personalized approaches to analyzing MRI data, development of new fluid biomarkers and wearable technologies will help to improve the power to detect treatment effects in FTLD clinical trials and enable new, clinical trial designs, possibly leveraged from the experience of oncology trials. A computational visualization and analysis platform that can support novel analyses of combined clinical, genetic, imaging, biomarker data with other novel modalities will be critical to the success of these endeavors.
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