[2154] An Informatics Based Tumor Specific Data (TSD) Model with Pathology Annotations To Support Translational Research in Inter and Intra- Institutional Tumor Repositories

Harpreet Singh, Waqas Amin, Anil V Parwani. University of Pittsburgh, Pittsburgh, PA

Background: The databases model is designed to facilitate complex clinical and research functions and incorporate 'real-time' updating of information. This technically complex process required identifying the precise role of the Honest Broker and research user's interaction with data in the relational database. Our aim was to provide a simple user interface with powerful query capabilities to access de identified pathology and outcome data.
Design: The database model provides a web-based data annotation and query engine supported in a three-tiered architecture, implemented on an Oracle Application Server v10.1.2.3 running on a Windows 2007 and Oracle RDBMS v.11.1.0 running on a Community Enterprise Operating Systems (Centos 5.3.) virtual host definitions which is supported by IBM Cluster hardware. This model utilizes the Oracle http server and mod_plsql extensions to generate dynamic web pages. This application is flexible to facilitates investigators to search on de-identified information.
Results: This informatics supported TSD model has been in use for a decade to support translational research at local and cross institutions. An overview of the legacy database is provided briefly in the following table. This database model integrates a spectrum of data sets including clinical pathology, follow-up, molecular and imaging in relational database that allows the user to query across all types of datasets. The access to database can be regulated as per user authentication.

TSD Project List

Data Bio-repository and Project Name	Multi-institute(M) / Single Institute(S)	Total patients	Data Access :	Data Access:	Data Source
			Public or Statistical Query	User Interface (clinical and Research)	Data Annotation, Electronic data import/export
Pennsylvania Cancer Alliance Bioinformatics Consortium (Prostate, Melanoma, Breast)	M	∼3000	Yes	Yes	Both
Early Detection Research Network (Colorectal and Pancreatic Virtual Biorepository)	S	2614	No	Yes	Both
SPORE (Head and Neck Neoplasm Virtual Biorepository)	S	7752	No	Yes	Both
Cooperative Prostate Cancer Tissue Resource	M	6063	No	Yes	Both
Gynecologic Cancer Research Center of Excellence	M	Under enrollment	Yes	Yes	Both

TSD Biorepository


Conclusions: The historical and current results indicate that the multi-dimensional TSD model described herein is flexible and robust and provides a highly functional solution to the pathology and research data annotation, query to accommodate research needs for critical clinical and translational research activities.
Category: Techniques

Monday, March 19, 2012 1:00 PM

Poster Session II # 298, Monday Afternoon