EconPapers    
Economics at your fingertips  
 

Analysis of Compound Synergy in High-Throughput Cellular Screens by Population-Based Lifetime Modeling

Martin Peifer, Jonathan Weiss, Martin L Sos, Mirjam Koker, Stefanie Heynck, Christian Netzer, Stefanie Fischer, Haridas Rode, Daniel Rauh, Jörg Rahnenführer and Roman K Thomas

PLOS ONE, 2010, vol. 5, issue 1, 1-8

Abstract: Despite the successful introduction of potent anti-cancer therapeutics, most of these drugs lead to only modest tumor-shrinkage or transient responses, followed by re-growth of tumors. Combining different compounds has resulted in enhanced tumor control and prolonged survival. However, methods querying the efficacy of such combinations have been hampered by limited scalability, analytical resolution, statistical feasibility, or a combination thereof. We have developed a theoretical framework modeling cellular viability as a stochastic lifetime process to determine synergistic compound combinations from high-throughput cellular screens. We apply our method to data derived from chemical perturbations of 65 cancer cell lines with two inhibitors. Our analysis revealed synergy for the combination of both compounds in subsets of cell lines. By contrast, in cell lines in which inhibition of one of both targets was sufficient to induce cell death, no synergy was detected, compatible with the topology of the oncogenically activated signaling network. In summary, we provide a tool for the measurement of synergy strength for combination perturbation experiments that might help define pathway topologies and direct clinical trials.

Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0008919 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 08919&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0008919

DOI: 10.1371/journal.pone.0008919

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().

 
Page updated 2025-03-22
Handle: RePEc:plo:pone00:0008919