Plasma MicroRNA alterations between EGFR-activating mutational NSCLC patients with and without primary resistance to TKI
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ABSTRACT:
ORGANISM(S): Merkel cell polyomavirus Human gammaherpesvirus 8 Human alphaherpesvirus 1 JC polyomavirus Betapolyomavirus macacae Human immunodeficiency virus 1 Homo sapiens Herpesvirus saimiri (strain 11) Human betaherpesvirus 5 Human alphaherpesvirus 2 Betapolyomavirus hominis Human betaherpesvirus 6B Macacine alphaherpesvirus 1 human gammaherpesvirus 4
PROVIDER: GSE99143 | GEO | 2017/05/23
SECONDARY ACCESSION(S): PRJNA387425
REPOSITORIES: GEO
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Project description:Non-small cell lung cancers (NSCLCs) harboring activating EGFR mutants show dramatic responses to EGFR TKIs, such as erlotinib and geffitinib. However, nearly all patients show relapse within 1 year after initial treatment. We used microarrays to detail global gene expression changes in EGFR mutant cells vs. WT cells responding to erlotinib. 4 EGFR mutant and 4 WT NSCLC cells were treated with or without erlotinib for 24 hr, followed by RNA extraction and hybridization on Affymetrix microarrays.
2014-05-16 | E-GEOD-57156 | biostudies-arrayexpress
Project description:Non-small cell lung cancers (NSCLCs) harboring activating EGFR mutants show dramatic responses to EGFR TKIs, such as erlotinib and geffitinib. However, nearly all patients show relapse within 1 year after initial treatment. We used microarrays to detail global gene expression changes in EGFR mutant cells vs. WT cells responding to erlotinib.
2014-05-16 | GSE57156 | GEO
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
2016-08-23 | E-GEOD-74575 | biostudies-arrayexpress
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.
2016-08-23 | GSE74575 | 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: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.
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Project description:We have employed a transcriptomic approach to find a molecular target that could compensate for the loss of EGFR signaling in NSCLC cell lines with acquired resistance to EGFR TKIs with an EMT phenotype.
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Project description:In this study, to investigate the underlying molecular mechanisms of how EGFR-TKIs resistance occurs in NSCLC, we examined gene expression using microarray technology on gefitinib-resistant NSCLC cells to obtain differentially expressed (DE) lncRNAs and mRNAs. Then we carried out KEGG enrichment analysis for DE-mRNAs and constructed the ceRNA regulatory network of DE-lncRNAs and DE-mRNAs. Our results revealed the downregulated lncRNA LINC01128 acted as ceRNA to decrease PTEN via sponging miR-25-3p, and then the signal reactions caused by the reduction of PTEN would activate PI3K/Akt signaling pathway, which may lead to the development of drug resistance to EGFR-TKIs in NSCLC. Our findings will provide a novel perspective for the underlying molecular mechanisms of EGFR-TKIs resistance in NSCLC. Besides, this research will help to develop new therapeutic targets for EGFR-TKIs resistance in NSCLC.
2022-01-14 | GSE193628 | GEO
Project description:Introduction: Overcoming of acquired resistance to EGFR-tyrosine kinase inhibitors (EGFR-TKIs) is an intractable obstacle for many clinical oncologists. The mechanisms of resistance to EGFR-TKIs are very complex. Long non-coding RNAs (lncRNAs) may play an important role in cancer development and metastasis. However, the biological process between lncRNAs and drug resistance to EGFR mutated lung cancer largely unknown. Methods: Osimertinib and afatinib-resistant EGFR-mutated lung cancer cells were established using by a stepwise method. Microarray analysis of non-coding and coding RNAs was performed using parental and resistant EGFR-mutant NSCLC cells. Results: Microarray analysis was evaluated by bioinformatics analysis through medical-industrial collaboration. CRNDE and DGCR5 lncRNAs were highly expressed in EGFR-TKIs-resistant cells. CRNDE binds to eIF4A3 protein, down-regulates eIF4A3 and MUC1 expression, and down-regulates p-EGFR expression. CRNDE inhibition activated the eIF4A3/MUC1/EGFR signaling pathway and apoptotic activity and restored sensitivity to EGFR-TKIs. Conclusions: We identified lncRNA CRNDE associated with resistance to EGFR-TKIs in EGFR-mutant NSCLC cells. CRNDE may be a novel therapeutic target for EGFR mutant NSCLC patients.
2021-04-28 | GSE163913 | GEO
Project description:Whole exome sequencing was performed on set of 48 DNA samples obtained from 16 EGFR mutated NSCLC patients whose tumors progressed following EGFR-TKI treatment. The DNA samples included baseline biopsy, rebiopsy and blood from the same patient. By comparing the variants in rebiopsy tumors and baseline tumors we aim to understand the genomic alterations responsible for the development of EGFR-TKI resistance in NSCLC patients.
2022-02-11 | E-MTAB-11404 | biostudies-arrayexpress