Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A Novel Molecular Target in Epidermal Growth Factor Receptor-Mutant Non-Small Cell Lung Cancer treated with a Combination of Osimertinib and Pemetrexed

ABSTRACT: In this study, we evaluate the therapeutic potential of combining osimertinib with pemetrexed and clarify the underlying molecular mechanisms in order to establish novel therapeutic strategies for EGFR-mutant NSCLC. We found that the combination of osimertinib and pemetrexed could induce strong apoptotic activity and enhance anti-tumor effects compared to monotherapy in two NSCLC cell lines harboring an EGFR mutation. In addition, we have identified PLK1 as a therapeutic target for combination therapy and as a promising treatment target for overcoming resistance to osimertinib in EGFR-mutated NSCLC patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE165029 | GEO | 2021/10/14

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

The differential gene expression of the lung cancer cell line HCC827 before and after resistance to osimertinib

Project description:Osimertinib, as a third-generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI), has been approved as a first-line therapy in advanced non–small-cell lung cancer (NSCLC) patients with EGFR-activating or T790M resistance mutations. However, the efficacy of osimertinib is limited due to acquired resistance. In order to search for the mechanism of resistance to osimertinib, we screened on significantly upregulated genes encoding protein kinases in osimertinib-resistant NSCLC cells via RNA-sequence.In summary, our data elucidate the alterations in gene expression within lung cancer cells before and after resistance to osimertinib, aiding in the analysis and identification of key molecules influencing osimertinib resistance.

2024-03-30 | GSE262582 | GEO

The expression profiles of exosomal miRNAs associated with resistance to osimertinib (AZD9291) in EGFR-mutant NSCLC cells

Project description:Exosomal miRNAs involved in resistance to osimertinib in EGFR-mutant NSCLC cells were successfully identified through the microoarray analysis.

2021-06-15 | GSE165540 | GEO

Microarray expression data of NCI-H1975 cells treated with osimertinib, alpelisib, or combination of these in the presence or absence of L-histidinol.

Project description:Oncogenic signals often activate abnormal proliferation, while simultaneously activate stress-adaptive mechanisms such as the integrated stress response (ISR) to ensure rapid growth under intrinsic and extrinsic stress conditions. In this study, we investigated the involvement of EGFR-PI3K pathway in the regulation of ISR in EGFR-mutant NSCLC cell lines under amino acid deprivation. We found that the third generation EGFR inhibitor osiemrtinib suppressed induction of activation transcription factor 4 (ATF4), the key ISR effector, in EGFR mutant cells, while the effect was to a less extent in cells harboring PIK3CA-co-alteration. PI3K inhibitors including P110a-specific inhibitor alpelicib markedly suppress ATF4 induction in PIK3CA-mutant cell lines. To further explore the role of EGFR-PI3K, transcriptome analysis was performed in EGFR- and PIK3CA-mutated NCI-H1975 cells treated with osimertinib, alpelisib, or combination of these in the absence or presence of histidyl-tRNA inhibitor L-histidinol (His), mimicking amino acid deprived conditions. Among His-induced genes, either osimertinib or alpelisib partially, but the combination dramatically suppressed a cluster of genes targeted by ATF4. Furthermore, combination of osimertinib and alpelisib increased apoptotic cells under amino acid deprived conditions. These results indicate that oncogenic EGFR-PI3K pathway contributes to cellular adaptation to stress conditions through ATF4. We used microarrays to identify genes whose expression is up- or down-regulated by inhibition of EGFR, PI3K, or both under amino acid deprivation.

2023-03-22 | GSE216508 | GEO

The landscape of therapeutic vulnerabilities in EGFR inhibitor osimertinib drug tolerant persister cells [RNA-seq]

Project description:Third-generation EGFR tyrosine kinase inhibitors (EGFR-TKIs), including osimertinib, an irreversible EGFR-TKI, are important treatments for non-small cell lung cancer with EGFR-TKI sensitizing or EGFR T790M resistance mutations. Whilst patients treated with osimertinib show clinical benefit, disease progression and drug resistance are common. Emergence of de novo acquired resistance from a drug tolerant persister (DTP) cell population is one mechanism proposed to explain progression on osimertinib and other targeted cancer therapies. Here we profiled osimertinib DTPs using RNA-seq, ChIP-seq, and ATAC-seq to characterize the features of these cells and performed drug screens to identify therapeutic opportunities.

2022-04-06 | GSE193258 | GEO

The landscape of therapeutic vulnerabilities in EGFR inhibitor osimertinib drug tolerant persister cells [ChIP-seq]

2022-04-06 | GSE193257 | GEO

The landscape of therapeutic vulnerabilities in EGFR inhibitor osimertinib drug tolerant persister cells [ATAC-seq]

2022-04-06 | GSE193256 | GEO

MUSASHI-2 RNA binding protein confers resistance to an epidermal growth factor receptor-tyrosine kinase inhibitor Osimertinib in lung adenocarcinoma

Project description:Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are effective in non-small cell lung cancer (NSCLC) patients harboring EGFR mutations. However, due to the acquired resistance to EGFR-TKIs, even third generation Osimertinib, the patients suffer poor prognosis. The resistance mechanisms are still not fully understood. Here, we demonstrate that increased expression of MUSASHI-2 (MSI2), an RNA binding protein, is novel mechanisms for resistance to EGFR-TKIs. We found that after long-exposure of gefitinib, the first generation EGFR-TKI, lung cancer cells harboring the EGFR-TKI-sensitive mutations became resistant to not only gefitinib but also Osimertinib. Although other mutations in EGFR were not found, expression levels of Nanog, a stemness core protein, and activities of aldehyde dehydrogenase (ALDH) were increased, suggesting that cancer stem-like properties were increased. Transcriptome analysis revealed that MSI2 was among the top list of the stemness-related genes upregulated in the EGFR-TKI-resistant cells. Knockdown of MSI2 reduced cancer stem-like properties, including expression levels of Nanog a core stemness factor. We demonstrate that knockdown of MSI2 restored sensitivity to Osimertinib or gefitinib in the EGFR-TKI-resistant cells to the similar levels of the parental cells in vitro. RNA immunoprecipitation (RIP) assay revealed that antibodies against MSI2 bound to Nanog mRNA, suggesting that MSI2 increases Nanog expression by binding to Nanog mRNA. Moreover, overexpression of MSI2 or Nanog conferred resistance to Osimertinib or gefitinib in parental cells. Finally, knockdown of MSI2 greatly increased sensitivity to Osimertinib in vivo. Collectively, our findings provide proof-of-principle that targeting MSI2-Nanog axis in combination with EGFR-TKIs would effectively prevent emergence of acquired resistance.

2021-08-27 | GSE168280 | GEO

Expression data of osimertinib tolerant H1975 cells

Project description:Even after osimertinib is administered to lung adenocarcinomas with EGFR mutations, there are a few cells which survive, and these tolerant cells are considered to be the source of later recurrence. We used microarray analysis to explore the mechanism behind the tolerance to osimertinib in lung adenocarcinoma cells with EGFR mutations.

2022-04-16 | GSE200893 | GEO

Expression data of osimertinib tolerant PC-9 cells

2022-04-16 | GSE200894 | GEO

Novel EGFR-Mutant Mouse Models of Lung Adenocarcinoma Reveal Adaptive Immunity Requirement for Durable Osimertinib Response

Project description:Lung cancers bearing oncogenically-mutated EGFR represent a significant fraction of lung adenocarcinomas (LUADs) for which EGFR-targeting tyrosine kinase inhibitors (TKIs) provide a highly effective therapeutic approach. However, these lung cancers eventually acquire resistance and undergo progression within a characteristically broad treatment duration range. Our previous study of EGFR mutant lung cancer biopsies highlighted the positive association of a TKI-induced interferon g transcriptional response with increased time to treatment progression. Herein, we demonstrate that two additional gene expression signatures predictive of immunotherapy response also associate with longer duration of TKI treatment response, despite lack of efficacy of immunotherapy in EGFR mutant lung cancers. To test the hypothesis that host immunity contributes to the TKI response, we developed novel genetically-engineered mouse models of EGFR mutant lung cancer bearing exon 19 deletions (del19) or the L860R missense mutation. Both oncogenic EGFR mouse models developed multifocal LUADs from which transplantable cancer cell lines sensitive to the EGFR-specific TKIs, gefitinib and osimertinib, were derived. When propagated orthotopically in the left lungs of syngeneic C57BL/6 mice, deep and durable shrinkage of the cell line-derived tumors was observed in response to daily treatment with osimertinib. By contrast, orthotopic tumors propagated in immune deficient nu/nu mice exhibited modest tumor shrinkage followed by rapid progression on continuous osimertinib treatment. Osimertinib treatment significantly increased intratumoral CD3+ T cell content relative to diluent treatment. The findings provide strong evidence supporting the requirement for adaptive immunity in the durable therapeutic control of EGFR mutant lung cancer.

2022-11-09 | GSE217405 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data