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.
Original language | English (US) |
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Pages (from-to) | 147-154 |
Number of pages | 8 |
Journal | Molecular Oncology |
Volume | 6 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2012 |
Externally published | Yes |
Keywords
- Personalized cancer therapy
- Predictive model systems
- Systens biology
ASJC Scopus subject areas
- Molecular Medicine
- Genetics
- Oncology
- Cancer Research