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

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Presentation on theme: "Clinical Data to Support Qualification: Cross-Sectional Surveys and Natural History Studies P. K. Tandon, Ph.D. Clinical Science Officer Genzyme, a Sanofi."— Presentation transcript:

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 Qualification What 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) A patient with Neimann - Pick B Disease  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

5 Niemann-Pick Type B and Gaucher Disease Type 1 Have Similar Clinical Presentations Niemann-Pick Disease Type BGaucher Disease Type 1 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

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) Baseline visits 200120022003200420052006200720082009201020112012 1-year visits Long-term follow-up visits The Study Timeline Spans 12 Years

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 Disease Both 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

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22 Clinical Data to Support Qualification Development 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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