Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

CD8+ T cell-1 dependent antitumor response boosted by dual blockade of PD-1 and VGFR2 following EGFR-tyrosine kinase inhibitors against lung cancer with Egfr mutation

ABSTRACT: We showed that CD8+ T cell-dependent antitumor response was induced by an EGFR-tyrosine kinase inhibitor (TKI) against syngeneic Egfr-mutant NSCLC tumors and that the effect was further pronounced by the sequential dual blockade of PD-1 and vascular endothelial growth factor receptor 2 (VEGFR2).

ORGANISM(S): Mus musculus

PROVIDER: GSE197260 | GEO | 2023/02/22

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Whole exome sequencing of EGFR-TKI naive and EGFR-TKI resistant lung adenocarcinoma samples

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

Notch3-dependent beta-catenin signaling mediates EGFR TKI drug persistence in EGFR mutant NSCLC

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

Differential mRNA expression analysis of EGFR-TKI-sensitive cells vs. EGFR-TKI-resistant cells

Project description:Epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) resistance remains unknown. We determined gene expression profiling in EGFR-TKI-resistant cells using RNA-seq analysis

2021-04-18 | GSE172002 | GEO

Mammalian SWI/SNF chromatin remodeling complexes promote tyrosine kinase inhibitor resistance in EGFR-mutant lung cancer

Project description:Acquired resistance to tyrosine kinase inhibitors (TKI), such as osimertinib used to treat EGFR-mutant lung adenocarcinomas, limits long-term efficacy and is frequently caused by non-genetic mechanisms. Here, we define the chromatin accessibility and gene regulatory signatures of osimertinib sensitive and resistant EGFR-mutant cell and patient-derived models and uncover a role for mammalian SWI/SNF chromatin remodeling complexes in TKI resistance. By profiling mSWI/SNF genome-wide localization, we identify both shared and cancer cell line-specific gene targets underlying the resistant state. Importantly, genetic and pharmacologic disruption of the SMARCA4/SMARCA2 mSWI/SNF ATPases re-sensitizes a subset of resistant models to osimertinib via inhibition of mSWI/SNF-mediated regulation of cellular programs governing cell proliferation, epithelial-to-mesenchymal transition, epithelial cell differentiation, and NRF2 signaling. These data highlight the role of mSWI/SNF complexes in supporting TKI resistance and suggest potential utility of mSWI/SNF inhibitors in TKI-resistant lung cancers.

2023-08-03 | GSE202864 | GEO

Mammalian SWI/SNF chromatin remodeling complexes promote tyrosine kinase inhibitor resistance in EGFR-mutant lung cancer

2023-08-03 | GSE202863 | GEO

Mammalian SWI/SNF chromatin remodeling complexes promote tyrosine kinase inhibitor resistance in EGFR-mutant lung cancer

2023-08-03 | GSE202859 | GEO

Mammalian SWI/SNF chromatin remodeling complexes promote tyrosine kinase inhibitor resistance in EGFR-mutant lung cancer

2023-08-03 | GSE202857 | GEO

Expression data for EGFR TKI resistant EGFR-mutated Cells

Project description:Intratumoral heterogeneity in EGFR mutant NSCLC results in divergent resistance mechanisms in response to EGFR tyrosine kinase inhibition We used microarrays to investigate the gene expression underlying EGFR TKI resistance with a mesenchymal phenotype.

2016-06-04 | GSE69181 | GEO

Next Generation Sequencing of EGFR-mutant non-small cell lung cancer (NSCLC) cells with tyrosine kinase inhibitor (TKI)-resistance

Project description:Purpose: The aim of this study is to compare the differentially expressed transcriptome of TKI resistance NSCLC cells and their parental cells Methods: mRNA profiles of the TKI-resistant NSCLC cells and their parental cells were generated by deep sequencing using Illumina HiSeq4000. Clean RNA-seq data was quantified and analyzed using the CLC genomics workbench software version 11.0 (Qiagen, Hilden, Germany). Results: In the current study, we established three EGFR-TKI-resistant cell lines and analyzed their expression profiles by RNA sequencing. We mapped about 30 million sequence reads per sample to the human genome (hg38) sequence and identified 21,463 transcripts in the parental and TKI-resistant NSCLC cells. Over 10% of the transcripts showed differential expression between the parental andTKI-resistant NSCLC cells, with a fold change ≥1.5 and p value <0.05. Transcriptome data analysis revealed the existence of significant overlaps and significant upregulation of epithelial-mesenchymal transition (EMT) pathway in the three cell lines with EGFR-TKI resistance. Conclusions: Our results showed that RNA-seq based transcriptome characterization offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within TKI-resistant NSCLC cells.

2023-07-31 | GSE156054 | GEO

Microarray expression profile of long noncoding RNAs in EGFR-TKI resistance of lung adenocarcinoma

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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