Molecular Oncology
Volume 6, Issue 2, April 2012, Pages 147–154
Personalized cancer medicine
Bioinformatics and systems biology
Prahlad T. Ram, , John Mendelsohn, Gordon B. Mills
Department of Systems Biology, Institute for Personalized Cancer Therapy, The University of Texas, MD Anderson Cancer Center, Houston, TX 77054, USA
Received 6 December 2011, Accepted 24 January 2012, Available online 17 February 2012
Under an Elsevier user license
Source/Fonte: CRC Press
Abstract
Delivering personalized therapeutic options to cancer patients based on the genetic and molecular aberrations of the tumor offers great promise to improve the outcomes of cancer therapy. Significant progress in biotechnology has allowed the measurement of tens of thousands of “omic” data points across multiple levels (DNA, RNA protein, metabolomics) from a single tumor biopsy sample in a reasonable time frame for making clinical decisions. With this data in hand, the challenge from the bioinformatics and systems biology point of view is how does one convert data into information and knowledge that can improve the delivery of personalized therapy to the patient.
Keywords
Systens biology; Personalized cancer therapy; Predictive model systems
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