TY - JOUR
T1 - Synthetic lethal screen of an EGFR-centered network to improve targeted therapies
AU - Astsaturov, Igor
AU - Ratushny, Vladimir
AU - Sukhanova, Anna
AU - Einarson, Margret B.
AU - Bagnyukova, Tetyana
AU - Zhou, Yan
AU - Devarajan, Karthik
AU - Silverman, Joshua S.
AU - Tikhmyanova, Nadezhda
AU - Skobeleva, Natalya
AU - Pecherskaya, Anna
AU - Nasto, Rochelle E.
AU - Sharma, Catherine
AU - Jablonski, Sandra A.
AU - Serebriiskii, Ilya G.
AU - Weiner, Louis M.
AU - Golemis, Erica A.
PY - 2010/9/21
Y1 - 2010/9/21
N2 - Intrinsic and acquired cellular resistance factors limit the efficacy of most targeted cancer therapeutics. Synthetic lethal screens in lower eukaryotes suggest that networks of genes closely linked to therapeutic targets would be enriched for determinants of drug resistance. We developed a protein network centered on the epidermal growth factor receptor (EGFR), which is a validated cancer therapeutic target, and used small interfering RNA screening to comparatively probe this network for proteins that regulate the effectiveness of both EGFR-targeted agents and nonspecific cytotoxic agents. We identified subnetworks of proteins influencing resistance, with putative resistance determinants enriched among proteins that interacted with proteins at the core of the network. We found that clinically relevant drugs targeting proteins connected in the EGFR network, such as protein kinase C or Aurora kinase A, or the transcriptional regulator signal transducer and activator of transcription 3 (STAT3), synergized with EGFR antagonists to reduce cell viability and tumor size, suggesting the potential for a direct path to clinical exploitation. Such a focused approach can potentially improve the coherent design of combination cancer therapies.
AB - Intrinsic and acquired cellular resistance factors limit the efficacy of most targeted cancer therapeutics. Synthetic lethal screens in lower eukaryotes suggest that networks of genes closely linked to therapeutic targets would be enriched for determinants of drug resistance. We developed a protein network centered on the epidermal growth factor receptor (EGFR), which is a validated cancer therapeutic target, and used small interfering RNA screening to comparatively probe this network for proteins that regulate the effectiveness of both EGFR-targeted agents and nonspecific cytotoxic agents. We identified subnetworks of proteins influencing resistance, with putative resistance determinants enriched among proteins that interacted with proteins at the core of the network. We found that clinically relevant drugs targeting proteins connected in the EGFR network, such as protein kinase C or Aurora kinase A, or the transcriptional regulator signal transducer and activator of transcription 3 (STAT3), synergized with EGFR antagonists to reduce cell viability and tumor size, suggesting the potential for a direct path to clinical exploitation. Such a focused approach can potentially improve the coherent design of combination cancer therapies.
KW - Aurora Kinase A
KW - Aurora Kinases
KW - Cytotoxins/genetics
KW - Drug Discovery/methods
KW - Drug Resistance, Neoplasm/genetics
KW - ErbB Receptors/antagonists & inhibitors
KW - Neoplasms/drug therapy
KW - Protein Interaction Mapping/methods
KW - Protein Kinase C/metabolism
KW - Protein Serine-Threonine Kinases/metabolism
KW - RNA Interference
KW - RNA, Small Interfering/genetics
KW - STAT3 Transcription Factor/metabolism
KW - Signal Transduction/genetics
UR - http://www.scopus.com/inward/record.url?scp=77957055294&partnerID=8YFLogxK
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=purepublist2023&SrcAuth=WosAPI&KeyUT=WOS:000282434500001&DestLinkType=FullRecord&DestApp=WOS
U2 - 10.1126/scisignal.2001083
DO - 10.1126/scisignal.2001083
M3 - Article
C2 - 20858866
SN - 1945-0877
VL - 3
SP - ra67
JO - Science Signaling
JF - Science Signaling
IS - 140
M1 - ra67
ER -