Bioinformática e biologia de sistemas

segunda-feira, dezembro 26, 2016

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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