Advisory Committee for Pharmaceutical Science
Pharmacology Toxicology Subcommittee Meeting
Questions for Subcommittee:
(1) While most data from genome-scale
gene expression experiments are incompletely understood, at the same time much
of these data are considered valuable. Reluctance has been expressed for
incorporating these endpoints into routine pharmacological and toxicological
investigations. Should the FDA CDER be
proactive at this time in enabling the incorporation of such study data into nonclinical phases of drug development, and in clarifying
how the results should be submitted to the agency? What should the present and future goals be
for use of the data by CDER, and what major obstacles are expected for incorporating these data into nonclinical
regulatory studies?
(2) Concerns have been raised about
gene expression data reproducibility across laboratories, across platforms and
technologies, and over the volume of data generated from each experiment. Is it: (a) feasible, (b) reasonable, and (c) necessary for CDER to
set a goal of developing an internal database to capture gene expression and
associated phenotypic outcome data from nonclinical
studies in order to enhance institutional knowledge and realize the data's full
value?
(3) Concerns have been expressed over
the reanalysis and reinterpretations of large gene expression data sets. Is it advisable for CDER to recommend that
sponsors follow one common and transparent data processing protocol and
statistical analysis method for each platform of gene expression data that will
be submitted, but not preclude sponsors from applying and sharing results from
additional, individually favored, methods?
What specific advice do you have to CDER for clarifying recommendations
on data processing and analysis, as well as data submission content and format?