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Clinical Data to Support Qualification: Cross-Sectional Surveys and Natural History Studies

Clinical Data to Support Qualification: Cross-Sectional Surveys and Natural History Studies. P. K. Tandon, Ph.D. Clinical Science Officer Genzyme, a Sanofi Company. Clinical data to support biomarker/endpoint qualification: most difficult to obtain.

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Clinical Data to Support Qualification: Cross-Sectional Surveys and Natural History Studies

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  1. Clinical Data to Support Qualification:Cross-Sectional Surveys and Natural History Studies P. K. Tandon, Ph.D. Clinical Science Officer Genzyme, a Sanofi Company

  2. Clinical data to support biomarker/endpoint qualification: most difficult to obtain • Often no prior clinical studies of any kind • No prior therapeutics or treatments • Little systematic work on clinical condition and any biomarkers • Often clinical use of biomarkers is not well established • Time and cost to develop data may be prohibitive

  3. Rare Diseases Require Different Approaches to Support QualificationWhat clinical data can be collected with no prior clinical studies • Cross-Sectional Studies • Single day assessment of clinical/biomarker • Wide range of severity/outcome • Utilize clinical history data, onset, severity etc. • Can be done with less time and be useful • Natural History Studies • Longer term evaluation • Provides longitudinal with-in patient data • More valuable if obtainable • Often too long or costly to implement

  4. Niemann-Pick B Disease is Caused by Acid Sphingomyelinase Deficiency (ASMD) • Niemann-Pick B is a autosomal recessive lysosomal storage disorder that is chronically debilitating and, for some, life-threatening • Premature death can occur due to cirrhosis, hemorrhage, respiratory failure, or coronary artery disease • Age of presentation is variable (from infancy to adulthood) and symptoms are heterogeneous • Current therapy is palliative • Estimated incidence rate is 1:250,000, worldwide prevalence in developed countries is approximately 3,000 to 5,000 patients A patient with Neimann - Pick B Disease

  5. Niemann-Pick Type B and Gaucher Disease Type 1 Have Similar Clinical Presentations • Hepatomegaly • Splenomegaly • Thrombocytopenia • Bleeding/bruising • Anemia • Fatigue • Growth retardation • CNS and non-CNS forms • GD>NP • Bone disease and pain • NP>GD • Lung disease and cirrhosis Niemann-Pick Disease Type B Gaucher Disease Type 1

  6. We Are Conducting a Niemann-Pick B Natural History Study to Better Characterize the Disease • A prospective, observational, natural history study • 59 patients enrolled from 5 countries: US, Italy, France, Germany, and Brazil • 3 study visits: baseline, 1-yr, and long-term follow-up (7-12 yrs) The Study Timeline Spans 12 Years 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Baseline visits 1-year visits Long-term follow-up visits

  7. Baseline & Pulmonary Findings from the Natural History Study Have Been Published Baseline findings, McGovern et al., 2008 Pulmonary findings, Mendelson et al., 2006

  8. Niemann-Pick B Natural History Study: Design • Series of 2-3 day evaluations at each site • 3 visits occurring at Baseline, Year 1, and Years 5-11 • Demographics – incl. enzyme assay and genotype • Medical history – age at onset and diagnosis, medical problems, and treatment • Physical examination – incl. growth, ophthalmologic, and neurologic • Laboratory tests – chem, UA, hematol, lipids, biomarkers (chitotriosidase, SMN) • Evaluations – liver/spleen MRI, chest X-ray/HRCT, and echo/ECG • Functional status – 6MWT, cycle ergometry, pulmonary function tests • Quality of life – CHQ (pediatric) and SF-36 (adult) • Niemann-Pick HAQ – incl. validated fatigue, dyspnea, and pain questionnaires. (Developed while study in progress and is being implemented at final visit)

  9. McGovern MM et al. “A prospective cross-sectional survey study of the natural history of Niemann-Pick disease type B”. Pediatrics 2008;122:e341-e349 • Patients (N=59) • Ages 7-65 yrs, median 17.6 yrs, 53% male, 92% Caucasian • 25% of mutation R608del • Presentation • 78% splenomegaly, 73% hepatomegaly • Signs/Symptoms • 49% bleeding, 42% pulmonary infections, 42% dypsnea, 39% joint/limb pain • Growth retardation, especially during puberty • Abnormal lipid profile (↑ cholesterol (91%), LDL (46%), TG (62%); low HDL (74%) • ↓ platelets (53%), hemoglobin (26%), white blood cells (21%) • ↑ ALT (51%), bilirubin (33%), chitotriosidase (95%), PBMC SMN (63%)

  10. Natural History Study: Respiratory Function and Exercise Capacity McGovern MM et al. A prospective cross-sectional survey study of the natural history of Niemann-Pick disease type B. Pediatrics 2008;122:e341-e349.

  11. Spleen Volume Correlated with Several Aspects of Disease Severity

  12. Type B Niemann-Pick Natural History Study: Summary • Study provided important new information about the spectrum of disease manifestations • Diversity of the patient populations from various countries was identified (e.g., pulmonary involvement in Saudi Arabia patients whereas a high neurological prevalence in European patients) • 6 patient deaths (10%)during follow-up, most in adolescence to mid-adulthood • Spleen volume was correlated with disease severity – a surrogate clinical marker for the Phase 2 study • Chitotriosidase(biomarker; a marker of activated macrophases) may play a role in monitoring patient treatment responses

  13. Niemann-Pick B DiseaseBoth cross-sectional survey and natural history information were useful • Cross-sectional data • Immediate establishment of proportional relationships between biomarkers and severity • No information on longitudinal stability, or change over time • Natural history data • Collected 12 years of follow-up • Supported cross sectional data

  14. Clinical Data to Support QualificationDevelopment of data from no-drug studies can help • Natural history and survey studies can provide needed support for biomarkers/endpoints • Relationship to onset/severity/progression • Establish rate of change/slope of decline • Cross-Sectional studies are easier to conduct • Less time & lower cost; can provide good info • Natural history with sufficient observations • More information in individual variation • More precise estimate of decline

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