Microarray expression profile of long noncoding RNAs in EGFR-TKI resistance of lung adenocarcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE74575 | GEO | 2016/08/23
SECONDARY ACCESSION(S): PRJNA300856
REPOSITORIES: GEO
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Project description:Lung adenocarcinoma cells harboring epidermal growth factor receptor (EGFR) mutations are sensitive to EGFR tyrosine kinase inhibitors (TKIs). Prolonged cancer treatment will induce the development of acquired resistance to EGFR TKI. To gain insight into the molecular mechanisms of EGFR-TKIs resistance, we generate EGFR-TKI-resistant HCC827-8-1 cells to be analyzed by microarray with their parental HCC827cells. gefitinib resistant HCC827-8-1 cells with three replications; gefitinib-sensitive HCC827 cells with three replications
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Project description:Activating mutations of EGFR have been characterized as important mechanisms for carcinogenesis in a subset of EGFR-dependent non-small cell lung cancers (NSCLC). EGFR tyrosine kinase inhibitors (TKI), such as erlotinib and gefitinib, have dramatic clinical effects on EGFR-addicted lung cancers and are used as first-line therapy for EGFR-mutant tumors. However, eventually all tumors acquire secondary resistance to the drugs and progress. We established a model to better understand mechanisms of acquired resistance. NCI- HCC827 cells are EGFR-mutant and highly erlotinib-sensitive. In this study we exposed HCC827 cells to increasing concentrations of erlotinib and two highly erlotinib-resistant subclones were developed (ER3 and T15-2). In these subclones no acquired alterations of EGFR or MET were found. We hereby performed a gene expression microarray studies to understand changes that might explain mechanisms of resistance. Through these studies we demonstrated in one resistant clone (ER3) overexpression of AXL, a tyrosine kinase implicated in imatinib and lapatinib resistance. Gene expression profilings were measured in NSCLC cell line HCC827 and two erlotinib-resistant HCC827-originated sublines ER3 and T15-2.
2012-05-29 | E-GEOD-38310 | biostudies-arrayexpress
Project description:The goal of this study was to compare the transcriptome (RNA-seq) of EGFR TKI sensitive NSCLC cells with that of cells with acquired resistance to erlotinib. HCC827 and HCC4006 cells were continuously cultured in erlotinib until erlotinib resistant (ER) variants emerged. All ER variants were negative for T790M. RNA from parental and ER cells was isolated for transcriptomic profiling. RNA-seq analysis reveals that EGFR TKI resistance is associated with a mesenchymal gene expression signature.
2020-09-03 | GSE121634 | GEO
Project description:EGFR tyrosine kinase inhibitors cause dramatic responses in EGFR-mutant lung cancer, but resistance universally develops. The involvement of β-catenin in EGFR TKI resistance has been previously reported however the precise mechanism by which β-catenin activation contributes to EGFR TKI resistance is not clear. Here, we show that EGFR inhibition results in the activation of β-catenin signaling in a Notch3-dependent manner, which facilitates the survival of a subset of cells that we call “adaptive persisters”. We previously reported that EGFR-TKI treatment rapidly activates Notch3, and here describe the physical association of Notch3 with β-catenin, leading to increased stability and activation of β-catenin. We demonstrate that the combination of EGFR-TKI and a β-catenin inhibitor inhibits the development of these adaptive persisters, decreases tumor burden, improves recurrence free survival, and overall survival in xenograft models. These results supports combined EGFR-TKI and β-catenin inhibition in patients with EGFR mutant lung cancer.
2018-08-31 | GSE115864 | GEO
Project description:Lung cancer continues to be the leading cause of cancer mortality worldwide. The treatment of lung cancer patients harboring mutant EGFR with orally administered EGFR TKIs has been a paradigm shift. Osimertinib and rociletinib are two 3rd generation irreversible EGFR TKIs targeting the EGFR T790M mutation. Osimertinib is the current standard care for patients with EGFR mutations due to increased efficacy, lower side effects, and enhanced brain penetrance. Unfortunately, all patients develop resistance to it. Genomic approaches have primarily been used to interrogate resistance mechanisms. Here, we have characterized the proteome and phosphoproteome of a series of isogenic EGFR mutant lung adenocarcinoma cell lines that are either sensitive or resistant to these drugs. To our knowledge, this is the most comprehensive proteomic dataset resource to date to investigate 3rd generation EGFR TKI resistance in lung adenocarcinoma. We have interrogated this unbiased global quantitative proteomic and phosphoproteomic dataset to uncover alterations in signaling pathways, and to reveal a proteomic signature of EMT and kinases / phosphatases with altered protein expression and phosphorylation in the TKI resistant cells. We validated the significant role of SHP2 in the activation of RAS/MAPK and PI3K/AKT signaling pathways. Furthermore, we performed anticorrelation analyses of this phosphoproteomic dataset with the published drug-induced P100 phosphoproteomic datasets from the Library of Integrated Network-Based Cellular Signatures (LINCS) program to predict drugs with the potential to overcome EGFR TKI resistance. We identified that dactolisib, a PI3K/mTOR inhibitor, in combination with osimertinib, may overcome osimertinib resistance both in vitro and in vivo. Introduction Lung cancer continues to be the leading cause of cancer mortality in the world (1). Many lung adenocarcinoma patients with activating epidermal growth factor receptor (EGFR) mutations initially respond dramaticlly to the first- or second-generation EGFR tyrosine kinase inhibitors (TKIs). However, they eventually develop resistance. The most common mechanism of acquired resistance is the EGFR T790M gatekeeper site residue mutation (2). Osimertinib, a third generation irreversible EGFR TKI has been approved by the FDA to treat patients harboring the EGFR T790M mutation who have developed resistance to first- and second- generation EGFR TKIs (3). Recently, osimertinib was also approved for the front-line treatment of patients harboring EGFR mutations (4). Rociletinib is another irreversible inhibitor targeting the EGFR T790M mutation, which has minimal activity against wild-type EGFR. Both drugs have therapeutic benefits and have demonstrated activity in tumors with T790M-mediated resistance to other EGFR tyrosine kinase inhibitors (5, 6). Further development of rociletinib was ceased in 2016 due to less than expected efficacy, poor brain penetration leading to tumor progression in brain tissues and off-target effects on IGFR activation leading to hyperglycemia (7, 8). Although 3rd-generation TKIs provide clinical benefit to most patients with EGFR mutations, some patients, demonstrating primary resistance, still do not respond to these inhibitors. Complete responses are rare, and all patients eventually develop resistance, suggesting primary and acquired resistance mechanisms decrease the efficacy of the drugs (9, 10). Genomic approaches have been used primarily to interrogate osimertinib resistance mechanisms (9, 11-15). Several mechanisms of osimertinib resistance have been identified (16), including novel second site EGFR mutations, activated bypass pathways such as MET amplification, HER2 amplification, RAS mutations, BRAF mutations, PIK3CA mutations, and novel fusion events (17). However, the resistance mechanism is complex and still not fully understood. Previously, we have used SILAC-based quantitative phosphoproteomics to identify the global dynamic modification which occur upon treatment of TKI-sensitive and -resistant lung adenocarcinoma cells with the 1st and 2nd generation EGFR TKIs, erlotinib and afatinib. Utilizing this strategy, we identified the targets of mutant EGFR signaling pathways responsible for TKI resistance, and possible off-target effects of the drugs (18, 19). In this study, we employed SILAC-based quantitative mass spectrometry to characterize alterations in the proteome and phosphoproteome which occur upon acquired resistance and sought to identify novel mechanisms of resistance to the third generation EGFR TKIs, osimertinib and rociletinib. To our knowledge, this is the most comprehensive 3rd generation EGFR TKI resistant proteome and phosphoproteome analysis resource available to date.
2021-03-11 | PXD020108 | Pride
Project description:Purpose: Multiple mechanims have been proposed that lead to reduced effectiveness of EGFR tyrosine kinase inhibitors (TKIs) in lung cancer and yet resistance to osimertinib and gefitinib still remains a challenge in the clinic. The goals of this study are to identify key genes contributing to tolerance and resistance to EGFR inhibition. Methods: mRNA profiles of gefitinib and osimertinib tolerant cells in PC9 and HCC827 cells were generated by deep sequencing using Illumina. In addition, mRNA profiles of cells (AALE, PC9 and HCC827) overexpressing with miR-147b or miR-21 and mRNA profiles of cells (H1975 and PC9ER) with miR-147b and miR-21 knocking down were generated by deep sequencing. The mappable reads were aligned to the human transcripts using Bowtie2 and gene abundance was estimated using RSEM. Results: Upregulation of miR-147b and miR-21 expression is related to tolerance and resistance to gefitinib and osimertinib in lung cancer. The signaling pathways of transcripts by knocking down miR-147b or miR-21 in resistant cells (H1975 and PC9ER) and by overexpressing miR-147b or miR-21 in both sensistive cells (HCC827 and PC9) and immortalized lung epithelial cells (AALE) are consistent with the key signaling pathways shown in tolerant cells to gefitinib and osimertinib in HCC827 and PC9 cells (HCC827GTR/OTR vs HCC827 and PC9GTR/OTR vs PC9). Conclusions: Our work identifies key signaling pathways that mediate EGFR-TKI tolerance and resistance in lung cancer. Our study provides potential targets to improve the efficacy of EGFR-TKIs therapy in cancer pagtients.
2018-01-11 | GSE103350 | GEO