Analysis of the lncRNA-miRNA-mRNA network reveals a potential regulatory mechanism of EGFR-TKIs resistance in NSCLC
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE193628 | GEO | 2022/01/14
REPOSITORIES: GEO
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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:Despite initial and often dramatic responses of epidermal growth factor receptor (EGFR)-addicted lung tumors to the EGFR-specific tyrosine kinase inhibitors (TKIs), gefitinib and erlotinib, nearly all develop resistance and relapse. To explore novel mechanisms mediating acquired resistance, we employed non-small-cell lung cancer (NSCLC) cell lines bearing activating mutations in EGFR and rendered them resistant to EGFR-specific TKIs through chronic adaptation in tissue culture. In addition to previously observed resistance mechanisms including EGFR-T790M 'gate-keeper' mutations and MET amplification, a subset of the seven chronically adapted NSCLC cell lines including HCC4006, HCC2279 and H1650 cells exhibited marked induction of fibroblast growth factor (FGF) 2 and FGF receptor 1 (FGFR1) mRNA and protein. Also, adaptation to EGFR-specific TKIs was accompanied by an epithelial to mesenchymal transition (EMT) as assessed by changes in CDH1, VIM, ZEB1 and ZEB2 expression and altered growth properties in Matrigel. In adapted cell lines exhibiting increased FGF2 and FGFR1 expression, measures of growth and signaling, but not EMT, were blocked by FGFR-specific TKIs, an FGF-ligand trap and FGFR1 silencing with RNAi. In parental HCC4006 cells, cell growth was strongly inhibited by gefitinib, although drug-resistant clones progress within 10 days. Combined treatment with gefitinib and AZD4547, an FGFR-specific TKI, prevented the outgrowth of drug-resistant clones. Thus, induction of FGF2 and FGFR1 following chronic adaptation to EGFR-specific TKIs provides a novel autocrine receptor tyrosine kinase-driven bypass pathway in a subset of lung cancer cell lines that are initially sensitive to EGFR-specific TKIs. The findings support FGFR-specific TKIs as potentially valuable additions to existing targeted therapeutic strategies with EGFR-specific TKIs to prevent or delay acquired resistance in EGFR-driven NSCLC. Examination of mRNA levels in DMSO and gefitinib-resistant cultures of HCC4006 and HCC827. Each group has two replicates.
2016-03-29 | E-GEOD-79688 | biostudies-arrayexpress
Project description:EGFR tyrosine kinase inhibitors (EGFR-TKIs) induce a dramastic response in non-small cell lung cancer (NSCLC) patients with the EGFR mutation.However, acquired resistance to EGFR-TKIs in lung cancer cells
2017-11-11 | GSE106765 | GEO
Project description:Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have been recommended as the first line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. However, acquired resistance to EGFR-TKIs is inevitable. Although anti- programmed cell death 1 (PD-1)/PD-ligand (PD-L1) immunotherapies have achieved great clinical success as second-line treatment for many cancer types, the clinical efficacy of anti-PD-1/PD-L1 blockades in EGFR mutated NSCLC patients has been demonstrated to be obviously lower than those without EGFR mutations. Here, we reported an advanced NSCLC patient with exon 19 deletion and T790M EGFR mutation benefitting from anti-PD-1 blockade therapy after acquiring resistance to EGFR-TKI. We characterized the mutational landscape of the patient with next-generation sequencing (NGS), and successfully identified neoantigen-specific T cell clones derived from EGFR exon 19 deletion, TP53 A116T and DENND6B R398Q mutations. Our findings support the potential application of immune checkpoint blockades in NSCLC patients with acquired resistance to EGFR-TKIs in the context of specific clonal neoantigens with high immunogenicity. Personalized immunomodulatory therapy targeting these neoantigens should be explored for better clinical outcomes in EGFR mutant NSCLC patients.
2020-06-30 | GSE150972 | GEO
Project description:Despite initial and often dramatic responses of epidermal growth factor receptor (EGFR)-addicted lung tumors to the EGFR-specific tyrosine kinase inhibitors (TKIs), gefitinib and erlotinib, nearly all develop resistance and relapse. To explore novel mechanisms mediating acquired resistance, we employed non-small-cell lung cancer (NSCLC) cell lines bearing activating mutations in EGFR and rendered them resistant to EGFR-specific TKIs through chronic adaptation in tissue culture. In addition to previously observed resistance mechanisms including EGFR-T790M 'gate-keeper' mutations and MET amplification, a subset of the seven chronically adapted NSCLC cell lines including HCC4006, HCC2279 and H1650 cells exhibited marked induction of fibroblast growth factor (FGF) 2 and FGF receptor 1 (FGFR1) mRNA and protein. Also, adaptation to EGFR-specific TKIs was accompanied by an epithelial to mesenchymal transition (EMT) as assessed by changes in CDH1, VIM, ZEB1 and ZEB2 expression and altered growth properties in Matrigel. In adapted cell lines exhibiting increased FGF2 and FGFR1 expression, measures of growth and signaling, but not EMT, were blocked by FGFR-specific TKIs, an FGF-ligand trap and FGFR1 silencing with RNAi. In parental HCC4006 cells, cell growth was strongly inhibited by gefitinib, although drug-resistant clones progress within 10 days. Combined treatment with gefitinib and AZD4547, an FGFR-specific TKI, prevented the outgrowth of drug-resistant clones. Thus, induction of FGF2 and FGFR1 following chronic adaptation to EGFR-specific TKIs provides a novel autocrine receptor tyrosine kinase-driven bypass pathway in a subset of lung cancer cell lines that are initially sensitive to EGFR-specific TKIs. The findings support FGFR-specific TKIs as potentially valuable additions to existing targeted therapeutic strategies with EGFR-specific TKIs to prevent or delay acquired resistance in EGFR-driven NSCLC.
2016-03-29 | GSE79688 | GEO
Project description:Acquired drug resistance to tyrosine kinase inhibitor (TKI) targeted therapies remains a major clinical challenge. In EGFR mutant non-small cell lung cancer (NSCLC), therapeutic failure of EGFR TKIs can result from both genetic and epigenetic mechanisms of acquired drug resistance. Histologic and gene expression changes consistent with an epithelial-to-mesenchymal transition (EMT) have been associated with resistance to EGFR TKIs in both experimental models and in patients, and may coincide with genetic mechanisms of resistance such as the EGFRT790M gatekeeper mutation. While therapeutic approaches targeting EGFRT790M have been developed, a strategy for overcoming EMT-related resistance remains unclear. We performed whole-genome CRISPR screening on patient-derived, mesenchymal EGFRT790M-positive cell lines and identified FGFR1 as a critical gene promoting resistance to third generation EGFR TKIs. The FGFR1-3 inhibitor, BGJ398 (infigratinib), resensitized resistant mesenchymal-like cell lines to EGFR inhibition in a synergistic manner. Combining EGFR + FGFR inhibitors also inhibited the in vitro survival and expansion of EGFR mutant drug tolerant cells with mesenchymal-like features prior to the development of drug resistance, and delayed the development of in vivo resistance in EGFR mutant NSCLC xenograft tumors. These results suggest that dual EGFR + FGFR blockade may be a promising clinical strategy for preventing and overcoming EMT-associated acquired drug resistance in EGFR mutant NSCLC.
2019-04-30 | GSE114647 | GEO
Project description:In this study, RNA-sequencing technology was employed to identify the differentially expressed lncRNAs (DE-lncRNAs) and mRNAs (DE-mRNAs) between H1975 and H1975OR. Based on the starbase 2.0 database, the potential targeting relationships between DE-lncRNAs and DE-mRNAs were predicted and identified to construct the ceRNA networks. Subsequently, functional and pathway enrichment analysis were carried for target DE-mRNAs to obtain functional pathways associated with Osimertinib resistance and potential drug resistance-related DE-mRNAs. Besides, the expression of LINC00313 and COL1A1 was validated by q-Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR). Finally, the activation of PI3K/Akt pathway was proved by immunohistochemistry staining.
2023-03-31 | GSE228049 | GEO
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.
2013-05-13 | BIOMD0000000453 | BioModels
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.
2019-12-31 | GSE123031 | GEO
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.
2013-05-13 | BIOMD0000000452 | BioModels