Data Standardization, Pharmaceutical Drug Development, and the 3Rs.

Despite the efforts, cost, and extensive use of animals for nonclinical research, only a small number of studies have methodically compared findings from animal toxicology studies to those from human clinical trials. Impediments to understanding the translation of nonclinical safety have included the lack of easy access to data and the need for extensive data curation given the diverse terminologies, formats, and data platforms in use. SEND and SDTM study data standards, developed by CDISC and about to become mandated by FDA, can address this and other drug development issues by facilitating access to data in ways that are not currently feasible.

Graphical display of histopathology data from toxicology studies for drug discovery and development: An industry perspective.

Histopathology data comprise a critical component of pharmaceutical toxicology studies and are typically presented as finding incidence counts and severity scores per organ, and tabulated on multiple pages which can be challenging for review and aggregation of results. However, the SEND (Standard for Exchange of Nonclinical Data) standard provides a means for collecting and managing histopathology data in a uniform fashion which can allow informatics systems to archive, display and analyze data in novel ways. Various software applications have become available to convert histopathology data into graphical displays for analyses.

Community Opinions on the Collection and Use of Historical Control Data in Nonclinical Toxicity Studies.

Background: Access and use of historical control data was identified as a top stakeholder concern across organizations according to results of a survey of needs and challenges related to nonclinical data conducted by the FDA/PhUSE Nonclinical Working Group in 2011. There is a perception there may be additional ways to capitalize on historical control data to enhance studies or submissions across industry, academia, and government. During the working sessions of the FDA/PhUSE Computational Sciences Symposium in March 2012, a Historical Control subgroup of the FDA/PhUSE Nonclinical Working Group was formed to investigate how the industry might more effectively harness the vast amount of data from untreated/vehicle control animals.