Project description:Activation of the serine/threonine kinase Akt contributes to the formation, maintenance, and therapeutic resistance of cancer, which is driving development of compounds that inhibit Akt. Phosphatidylinositol ether lipid analogues (PIAs) are analogues of the products of PI3K that inhibit Akt activation, translocation, and the proliferation of a broad spectrum of cancer cell types. To gain insight into the mechanism of PIAs, time-dependent transcriptional profiling of 5 active PIAs and the PI3K inhibitor LY294002 (LY) was performed in non-small cell lung cancer (NSCLC) cells using high-density oligonucleotide arrays. Gene ontology analysis revealed genes involved in apoptosis, wounding response, and angiogenesis were upregulated by PIAs, while genes involved in DNA replication, repair and mitosis were suppressed. Genes that exhibited early differential expression were partitioned into 3 groups; those induced by PIAs only (DUSP1, KLF6, CENTD2, BHLHB2, PREX1), those commonly induced by PIAs and LY (TRIB1, KLF2, RHOB and CDKN1A), and those commonly suppressed by PIAs and LY (IGFBP3, PCNA, PRIM1, MCM3 and HSPA1B). Increased expression of the tumor suppressors RHOB (RhoB), KLF6 (COPEB) and CDKN1A (p21Cip1/Waf1) was validated as an Akt-independent effect that contributed to PIA-induced cytotoxicity. Despite some overlap with LY, active PIAs have a distinct expression signature that contributes to their enhanced cytotoxicity. H157 cells were plated at 2x10^6 in T-75 flasks in RPMI medium 1640 containing 10% FBS and incubated for 24h. The media was then changed to RPMI medium 1640 with 0.1% FBS and the cells were incubated overnight. The following morning, cells were treated with 10 microM PIA6 dissolved in DMSO for 0h, 2h, 6h or 12h, and an equal volume of DMSO was added to control samples. For the PIA comparison, 10 microM PIAs (5, 6, 7, 23, 24, 25) or 10 microM LY294002 (LY) were incubated with the cells for 6h. In the PIA comparison experiment, the same concentration of PIA7 (an inert analog consisting of only the lipid side chain) was used as a control. Following incubation, the alterations in cellular morphology were photographed, and cells from 6-well plates were harvested for immunoblot analysis. Total RNA was extracted from cells treated in T-75 flasks using TRIzol reagent (Invitrogen) and chloroform, and purified according to the RNeasy midiprep spin kit protocol (Qiagen). Oligonucleotide microarray was performed with dye-swap. Microarray chips were generated from the 34,580 longmer probe set Human Genome Oligo Set Version 3.0 (Qiagen). Protocols for cDNA labeling, hybridization, and scanning are available through the National Human Genome Research Institute microarray core.

Project description:Introduction: The clinical benefit of EGFR tyrosine kinase inhibitor (TKI) treatment in non-small cell lung cancer (NSCLC) patients with activating EGFR mutations is temporary, as virtually all patients develop acquired EGFR TKI resistance that occurs via diverse mechanisms. Here, we identified increased FGFR1 expression as such a resistance mechanism and using pathways analysis and drug combination testing we identified a novel combination treatment to control growth of these resistant tumors. Methods: Novel erlotinib-resistant NSCLC cell lines were generated and analyzed by mass spectrometry-based proteomics to identify altered pathways associated with erlotinib resistance. The altered pathways were further analyzed in gefitinib and osibenib resistant cell lines. Small molecule inhibitor combinations were used to block the altered pathways and investigate growth reduction in vitro and in two xenograft mouse models. FGFR1 mRNA levels were examined in pre- and (post?)- EGFR TKI treatment clinical tumor samples. Results: Proteomic analysis revealed increased expression of FGFR1 and AXL as well as increased Akt and ERK1/2 activation in a panel of novel erlotinib-resistant HCC827 cell lines. Combined treatment with erlotinib or osimertinib and a panel of small molecule inhibitors targeting AXL/MET, FGFRs, Akt, PI3K/mTOR, MEK or ERK1/2 showed that the most prominent re-sensitization to EGFR TKI occurred with the pan-FGFR inhibitor, PD173074. Interestingly, simultaneous blockade of components of the Akt pathway using specific Akt or dual PI3K-mTOR inhibitors combined with inhibitors targeting the FGFR family exhibited the most efficient growth inhibition of FGFR1 overexpressing EGFR TKI-resistant cell lines. Phosphorylation of proteins downstream of Akt, including PRAS40, FOXO and S6 ribosomal protein, were completely abrogated by PD173074 combined with the Akt inhibitor GSK2141795 . Combination treatment with PD173074 and an Akt inhibitor exhibited synergistic growth inhibition in vivo in two FGFR1 overexpressing NSCLC EGFR TKI-resistant animal models. Conclusion: The significant growth inhibition in vitro and in vivo observed with PD173074 combined with Akt compared to either drug alone imply that inhibition of several key targets may be beneficial in controlling erlotinib-resistant NSCLC. The complete abrogation of PRAS40, FOXO and S6 phosphorylations by PD173074 combined with an Akt inhibitor indicates that the Akt pathway is no longer active.

Project description:Bidkhori2012 - EGFR signalling in NSCLC The paper describes and compares two models on EGFR signalling between normal and NSCLC cells. Moreover, it is shown that ERK (MAPK), STAT and Akt factor's activation pattern are different between normal and NSCLA models. This model corresponds to EGFR signalling in NSCLA cells. Created by The MathWorks, Inc. SimBiology tool, Version 3.3 This model is described in the article: Modeling of tumor progression in NSCLC and intrinsic resistance to TKI in loss of PTEN expression. Bidkhori G, Moeini A, Masoudi-Nejad A PloS one [2012, 7(10):e48004] Abstract: EGFR signaling plays a very important role in NSCLC. It activates Ras/ERK, PI3K/Akt and STAT activation pathways. These are the main pathways for cell proliferation and survival. We have developed two mathematical models to relate to the different EGFR signaling in NSCLC and normal cells in the presence or absence of EGFR and PTEN mutations. The dynamics of downstream signaling pathways vary in the disease state and activation of some factors can be indicative of drug resistance. Our simulation denotes the effect of EGFR mutations and increased expression of certain factors in NSCLC EGFR signaling on each of the three pathways where levels of pERK, pSTAT and pAkt are increased. Over activation of ERK, Akt and STAT3 which are the main cell proliferation and survival factors act as promoting factors for tumor progression in NSCLC. In case of loss of PTEN, Akt activity level is considerably increased. Our simulation results show that in the presence of erlotinib, downstream factors i.e. pAkt, pSTAT3 and pERK are inhibited. However, in case of loss of PTEN expression in the presence of erlotinib, pAkt level would not decrease which demonstrates that these cells are resistant to erlotinib. This model is hosted on BioModels Database and identified by: MODEL1304020001 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Bidkhori2012 - normal EGFR signalling The paper describes and compares two models on EGFR signalling between normal and NSCLC cells. Moreover, it is shown that ERK (MAPK), STAT and Akt factor's activation pattern are different between normal and NSCLA models. This model corresponds to EGFR signalling in normal cells. Created by The MathWorks, Inc. SimBiology tool, Version 3.3 This model is described in the article: Modeling of tumor progression in NSCLC and intrinsic resistance to TKI in loss of PTEN expression. Bidkhori G, Moeini A, Masoudi-Nejad A PloS one [2012, 7(10):e48004] Abstract: EGFR signaling plays a very important role in NSCLC. It activates Ras/ERK, PI3K/Akt and STAT activation pathways. These are the main pathways for cell proliferation and survival. We have developed two mathematical models to relate to the different EGFR signaling in NSCLC and normal cells in the presence or absence of EGFR and PTEN mutations. The dynamics of downstream signaling pathways vary in the disease state and activation of some factors can be indicative of drug resistance. Our simulation denotes the effect of EGFR mutations and increased expression of certain factors in NSCLC EGFR signaling on each of the three pathways where levels of pERK, pSTAT and pAkt are increased. Over activation of ERK, Akt and STAT3 which are the main cell proliferation and survival factors act as promoting factors for tumor progression in NSCLC. In case of loss of PTEN, Akt activity level is considerably increased. Our simulation results show that in the presence of erlotinib, downstream factors i.e. pAkt, pSTAT3 and pERK are inhibited. However, in case of loss of PTEN expression in the presence of erlotinib, pAkt level would not decrease which demonstrates that these cells are resistant to erlotinib. This model is hosted on BioModels Database and identified by: MODEL1304020000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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