PDF file 146K, This file contains the legends to Supplementary Figures 1-7 and Supplementary methods
PDF file 1227K, This file contains Supplemental Figures 1-7, which provide additional supporting information for each of the main figures
S1 XLSX file 63K, This Supplementary Table contains the results of ORF screen to identify genes that can rescue the suppression of TBK1 in a KRAS-dependent cell line
Abstract Although the roles of mitogen-activated protein kinase (MAPK) and phosphoinositide 3-kinase (PI3K) signaling in KRAS-driven tumorigenesis are well established, KRAS activates additional pathways required for tumor maintenance, the inhibition of which are likely to be necessary for effective KRAS-directed therapy. Here, we show that the IκB kinase (IKK)–related kinases Tank-binding kinase-1 (TBK1) and IKKϵ promote KRAS-driven tumorigenesis by regulating autocrine CCL5 and interleukin (IL)-6 and identify CYT387 as a potent JAK/TBK1/IKKϵ inhibitor. CYT387 treatment ablates RAS-associated cytokine signaling and impairs Kras-driven murine lung cancer growth. Combined CYT387 treatment and MAPK pathway inhibition induces regression of aggressive murine lung adenocarcinomas driven by Kras mutation and p53 loss. These observations reveal that TBK1/IKKϵ promote tumor survival by activating CCL5 and IL-6 and identify concurrent inhibition of TBK1/IKKϵ, Janus-activated kinase (JAK), and MEK signaling as an effective approach to inhibit the actions of oncogenic KRAS. Significance: In addition to activating MAPK and PI3K, oncogenic KRAS engages cytokine signaling to promote tumorigenesis. CYT387, originally described as a selective JAK inhibitor, is also a potent TBK/IKKϵ inhibitor that uniquely disrupts a cytokine circuit involving CCL5, IL-6, and STAT3. The efficacy of CYT387-based treatment in murine Kras-driven lung cancer models uncovers a novel therapeutic approach for these refractory tumors with immediate translational implications. Cancer Discov; 4(4); 452–65. ©2014 AACR. This article is highlighted in the In This Issue feature, p. 377
Pablo Tamayo合作论文数Theoretical Division and Advanced Computing Laboratory, Los Alamos National Laboratory, Los Alamos, NM4