MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Identification of signaling pathways related to drug efficacy in hepatocellular carcinoma via integration of phosphoproteomic, genomic and clinical data

Author(s)
Melas, Ioannis N.; Lauffenburger, Douglas A.; Alexopoulos, Leonidas G.
Thumbnail
DownloadLauffenburger_Identification of.pdf (629.8Kb)
OPEN_ACCESS_POLICY

Open Access Policy

Creative Commons Attribution-Noncommercial-Share Alike

Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
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.
Date issued
2013-11
URI
http://hdl.handle.net/1721.1/99495
Department
Massachusetts Institute of Technology. Department of Biological Engineering
Journal
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Melas, Ioannis N., Douglas A. Lauffenburger, and Leonidas G. Alexopoulos. “Identification of Signaling Pathways Related to Drug Efficacy in Hepatocellular Carcinoma via Integration of Phosphoproteomic, Genomic and Clinical Data.” 13th IEEE International Conference on BioInformatics and BioEngineering (November 2013).
Version: Author's final manuscript
ISBN
978-1-4799-3163-7

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.