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  MINI 29 - Meta Analyses and Trial Conduct (ID 156)

  • Event: WCLC 2015
  • Type: Mini Oral
  • Track: Treatment of Advanced Diseases - NSCLC
  • Presentations: 1
  • Moderators:D. Morgensztern, M. Redman
  • Coordinates: 9/09/2015, 18:30 - 20:00, Mile High Ballroom 2a-3b

  • 15895

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    MINI29.09 - Recommendations for Standardized Efficacy Data Specifications in Lung Cancer (ID 1599)

    19:15 - 19:20  |  Author(s): B. Brodsky
    • Abstract
    • Presentation
    • Slides

    Background:
    There are general standards for common clinical trial data elements submitted to US Food and Drug Administration (FDA) in a new drug application (NDA) or biologic license agreement (BLA). There is, however, considerable heterogeneity in the structure of data elements that are unique to a particular therapeutic area. As part of an effort organized by Coalition for Accelerating Standards and Therapies (CFAST), we developed specifications for efficacy data standardization in lung cancer.
    
    Methods:
    Using FDA guidance documents, NDA and BLA reviews, sample case report forms, and clinical trial datasets, we identified data elements in lung cancer clinical trials that are essential in evaluating the efficacy of new drugs and biologics. We constructed a concept map outlining the data elements and specifying their relational structure.
    
    Results:
    Data elements were captured under two main categories: efficacy endpoints (Figure 1) and covariates (Figure 2). Efficacy endpoints consist of overall survival, progression-free survival, objective response rate, duration of response, and disease-free survival. All lesions are assigned an organ-specific code. Data on tumor kinetics are captured as continuous variables supporting precise estimation of response while capturing all the requirements of Response Evaluation Criteria in Solid Tumors, version 1.1. Covariates were divided into disease and patient characteristics. Disease characteristics include specifications on molecular, immunohistochemical, and histological classification of tumors and detailed staging variables. Molecular definitions follow established nomenclature and include information on mutation subtypes as indicated. Patient characteristics include information on prior therapy, race and ethnicity. Figure 1 Figure 2
    
    
    
    
    
    Conclusion:
    The data elements we have identified (Figures 1 and 2) include concepts not adequately captured in current data standards and highlight important regulatory needs for the efficacy evaluation of new drugs and biologics in lung cancer. These specifications will be integrated with CFAST’s efforts to promote the development of lung cancer-specific data standards.
    
    

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