Genomic analysis of individual patients is now affordable and therapies targeted to specific molecular aberrations are being tested in clinical trials. However, even highly-specialized physicians at leading academic centers are not equipped to apply genomic information available in publically available sources to clinical- decision-making concerning individual patients. Our central hypothesis is that we can develop informatics tools to support personalized cancer treatment as "standard of care" rather than "one off" exceptions. We will: 1) implement a bioinformatics pipeline for processing molecular data into actionable profiles, 2) create and maintain a database of therapeutic implications of common genomic aberrations using automated processing of publically-available sources and 3) develop tools to summarize and present patient-specific advice to clinicians. These tools will be based on existing technologies and publicly available data sources. Once tested, we will make these tools available via appropriate open source license.

Public Health Relevance

Genomic analysis of individual patients is now affordable and therapies targeted to specific molecular aberrations are being tested in clinical trials. In this project, we will develop informatics tools to support personalized cancer treatment as standard of care rather than one off exception.

Agency
National Institute of Health (NIH)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA180964-02
Application #
8741711
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Jessup, John M
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Texas Health Science Center Houston
Department
None
Type
Sch Allied Health Professions
DUNS #
City
Houston
State
TX
Country
United States
Zip Code
77225
Yusuf, Rafeek A; Rogith, Deevakar; Hovick, Shelly R A et al. (2015) Attitudes toward molecular testing for personalized cancer therapy. Cancer 121:243-50
Rogith, Deevakar; Yusuf, Rafeek A; Hovick, Shelley R et al. (2014) Attitudes regarding privacy of genomic information in personalized cancer therapy. J Am Med Inform Assoc 21:e320-5
Bailey, Ann M; Mao, Yong; Zeng, Jia et al. (2014) Implementation of biomarker-driven cancer therapy: existing tools and remaining gaps. Discov Med 17:101-14