Literature DB >> 28975278

Survival End Points for Huntington Disease Trials Prior to a Motor Diagnosis.

Jeffrey D Long1,2, James A Mills1, Blair R Leavitt3, Alexandra Durr4, Raymund A Roos5, Julie C Stout6, Ralf Reilmann7, Bernhard Landwehrmeyer8, Sarah Gregory9, Rachael I Scahill10, Douglas R Langbehn1,2, Sarah J Tabrizi11.   

Abstract

Importance: Predictive genetic testing in Huntington disease (HD) enables therapeutic trials in HTT gene expansion mutation carriers prior to a motor diagnosis. Progression-free survival (PFS) is the composite of a motor diagnosis or a progression event, whichever comes first. Objective: To determine if PFS provides feasible sample sizes for trials with mutation carriers who have not yet received a motor diagnosis. Design, Setting, and Participants: This study uses data from the 2-phase, longitudinal cohort studies called Track and from a longitudinal cohort study called the Cooperative Huntington Observational Research Trial (COHORT). Track had 167 prediagnosis mutation carriers and 156 noncarriers, whereas COHORT had 366 prediagnosis mutation carriers and noncarriers. Track studies were conducted at 4 sites in 4 countries (Canada, France, England, and the Netherlands) from which data were collected from January 17, 2008, through November 17, 2014. The COHORT was conducted at 38 sites in 3 countries (Australia, Canada, and the United States) from which data were collected from February 14, 2006, through December 31, 2009. Results from the Track data were externally validated with data from the COHORT. The required sample size was estimated for a 2-arm prediagnosis clinical trial. Data analysis took place from May 1, 2016, to June 10, 2017. Main Outcomes and Measures: The primary end point is PFS. Huntington disease progression events are defined for the Unified Huntington's Disease Rating Scale total motor score, total functional capacity, symbol digit modalities test, and Stroop word test.
Results: Of Track's 167 prediagnosis mutation carriers, 93 (55.6%) were women, and the mean (SD) age was 40.06 (8.92) years; of the 156 noncarriers, 87 (55.7%) were women, and the mean (SD) age was 45.58 (10.30) years. Of the 366 COHORT participants, 229 (62.5%) were women and the mean (SD) age was 42.21 (12.48) years. The PFS curves of the Track mutation carriers showed good external validity with the COHORT mutation carriers after adjusting for initial progression. For required sample size, PFS with a motor diagnosis or total motor score progression required about 4 times fewer participants than a motor diagnosis alone. Including additional cognitive progression events further reduced the number. For example, a 3-year trial with 10% attrition and a treatment effect of 50% requires a total of 661 with motor diagnosis as the survival end point but only 177 with a total motor score PFS. Conclusions and Relevance: Reasonably sized prediagnosis Huntington disease trials can be planned with PFS, and there is evidence of generalizability of this approach.

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Year:  2017        PMID: 28975278      PMCID: PMC5710578          DOI: 10.1001/jamaneurol.2017.2107

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  20 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  Defining clinically meaningful change in health-related quality of life.

Authors:  Ross D Crosby; Ronette L Kolotkin; G Rhys Williams
Journal:  J Clin Epidemiol       Date:  2003-05       Impact factor: 6.437

3.  Progression-free survival and time to progression as primary end points in advanced breast cancer: often used, sometimes loosely defined.

Authors:  E D Saad; A Katz
Journal:  Ann Oncol       Date:  2008-12-18       Impact factor: 32.976

Review 4.  Huntington disease: natural history, biomarkers and prospects for therapeutics.

Authors:  Christopher A Ross; Elizabeth H Aylward; Edward J Wild; Douglas R Langbehn; Jeffrey D Long; John H Warner; Rachael I Scahill; Blair R Leavitt; Julie C Stout; Jane S Paulsen; Ralf Reilmann; Paul G Unschuld; Alice Wexler; Russell L Margolis; Sarah J Tabrizi
Journal:  Nat Rev Neurol       Date:  2014-03-11       Impact factor: 42.937

Review 5.  Milestones in huntington disease.

Authors:  Ira Shoulson; Anne B Young
Journal:  Mov Disord       Date:  2011-05       Impact factor: 10.338

Review 6.  Huntington's disease: from molecular pathogenesis to clinical treatment.

Authors:  Christopher A Ross; Sarah J Tabrizi
Journal:  Lancet Neurol       Date:  2011-01       Impact factor: 44.182

7.  Biological and clinical changes in premanifest and early stage Huntington's disease in the TRACK-HD study: the 12-month longitudinal analysis.

Authors:  Sarah J Tabrizi; Rachael I Scahill; Alexandra Durr; Raymund Ac Roos; Blair R Leavitt; Rebecca Jones; G Bernhard Landwehrmeyer; Nick C Fox; Hans Johnson; Stephen L Hicks; Christopher Kennard; David Craufurd; Chris Frost; Douglas R Langbehn; Ralf Reilmann; Julie C Stout
Journal:  Lancet Neurol       Date:  2010-12-02       Impact factor: 44.182

8.  Biological and clinical manifestations of Huntington's disease in the longitudinal TRACK-HD study: cross-sectional analysis of baseline data.

Authors:  Sarah J Tabrizi; Douglas R Langbehn; Blair R Leavitt; Raymund Ac Roos; Alexandra Durr; David Craufurd; Christopher Kennard; Stephen L Hicks; Nick C Fox; Rachael I Scahill; Beth Borowsky; Allan J Tobin; H Diana Rosas; Hans Johnson; Ralf Reilmann; Bernhard Landwehrmeyer; Julie C Stout
Journal:  Lancet Neurol       Date:  2009-07-29       Impact factor: 44.182

9.  Predictors of phenotypic progression and disease onset in premanifest and early-stage Huntington's disease in the TRACK-HD study: analysis of 36-month observational data.

Authors:  Sarah J Tabrizi; Rachael I Scahill; Gail Owen; Alexandra Durr; Blair R Leavitt; Raymund A Roos; Beth Borowsky; Bernhard Landwehrmeyer; Chris Frost; Hans Johnson; David Craufurd; Ralf Reilmann; Julie C Stout; Douglas R Langbehn
Journal:  Lancet Neurol       Date:  2013-05-09       Impact factor: 44.182

10.  Characterization of a large group of individuals with huntington disease and their relatives enrolled in the COHORT study.

Authors:  E Ray Dorsey
Journal:  PLoS One       Date:  2012-02-16       Impact factor: 3.240

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  7 in total

1.  Predicting the Risk of Huntington's Disease with Multiple Longitudinal Biomarkers.

Authors:  Fan Li; Kan Li; Cai Li; Sheng Luo
Journal:  J Huntingtons Dis       Date:  2019

2.  Disease Progression in Huntington Disease: An Analysis of Multiple Longitudinal Outcomes.

Authors:  Tanya P Garcia; Yuanjia Wang; Ira Shoulson; Jane S Paulsen; Karen Marder
Journal:  J Huntingtons Dis       Date:  2018

3.  Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease.

Authors:  Eduardo Castro; Pablo Polosecki; Irina Rish; Dorian Pustina; John H Warner; Andrew Wood; Cristina Sampaio; Guillermo A Cecchi
Journal:  Neuroimage Clin       Date:  2018-05-09       Impact factor: 4.881

4.  Joint modeling of multivariate longitudinal data and survival data in several observational studies of Huntington's disease.

Authors:  Jeffrey D Long; James A Mills
Journal:  BMC Med Res Methodol       Date:  2018-11-16       Impact factor: 4.615

5.  Prevalence of Huntington Disease in Italy: a systematic review and meta-analysis.

Authors:  Matteo Riccò; Luigi Vezzosi; Federica Balzarini; Giovanni Gualerzi; Silvia Ranzieri
Journal:  Acta Biomed       Date:  2020-04-10

6.  Cognitive and behavioral associated changes in manifest Huntington disease: A retrospective cross-sectional study.

Authors:  Simone Migliore; Giulia D'Aurizio; Sabrina Maffi; Consuelo Ceccarelli; Giovanni Ristori; Silvia Romano; Anna Castaldo; Caterina Mariotti; Giuseppe Curcio; Ferdinando Squitieri
Journal:  Brain Behav       Date:  2021-06-10       Impact factor: 2.708

7.  Longitudinal Structural MRI in Neurologically Healthy Adults.

Authors:  Sarah Gregory; Keith R Lohse; Eileanoir B Johnson; Blair R Leavitt; Alexandra Durr; Raymund A C Roos; Geraint Rees; Sarah J Tabrizi; Rachael I Scahill; Michael Orth
Journal:  J Magn Reson Imaging       Date:  2020-05-29       Impact factor: 5.119

  7 in total

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