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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Melas, I.N. Lauffenburger, D.A. Alexopoulos, L.G. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Biol. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA (Lauffenburger, D.A.) || Dept. of Mech. Eng., Nat. Tech. Univ. of Athens, Athens, Greece (Melas, I.N.; Alexopoulos, L.G.) |
| Abstract | Hepatocellular Carcinoma (HCC) is one of the leading causes of death worldwide, with only a handful of treatments effective in unresectable HCC. Most of the clinical trials for HCC using new generation interventions (drug-targeted therapies) have poor efficacy whereas just a few of them show some promising clinical outcomes [1]. This is amongst the first studies where the mode of action of some of the compounds extensively used in clinical trials is interrogated on the phosphoproteomic level, in an attempt to build predictive models for clinical efficacy. Signaling data are combined with previously published gene expression and clinical data within a consistent framework that identifies drug effects on the phosphoproteomic level and translates them to the gene expression level. The interrogated drugs are then correlated with genes differentially expressed in normal versus tumor tissue, and genes predictive of patient survival. Although the number of clinical trial results considered is small, our approach shows potential for discerning signaling activities that may help predict drug efficacy for HCC. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1046465 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479931637 |
| DOI | 10.1109/BIBE.2013.6701683 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-10 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Drugs Cancer Feature extraction Gene expression Clinical trials Inhibitors Tumors |
| Content Type | Text |
| Resource Type | Article |
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