Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Characterization of the mechansims involved in resistance to EGFR inhibitors

ABSTRACT: We generated patient cSCC-derived xenografts (cSCC-PDXs) that recapitulate the histopathologic and molecular features of parental patient samples. Response to gefitinib treatment was tested in four independent models. cSCC34-PDXs showed intrinsic resistance to gefitinib, whereas three models (cSCC10-PDXs, cSCC16-PDXs and cSCC24-PDXs) initially showed a strong response to gefitinib, but acquired resistance after long-term treatment. RNA sequencing analysis were performed in matched untreated and gefitinib-resistant cSCC-PDXs to determine mechanisms behind gefitinib resistance.

ORGANISM(S): Homo sapiens

PROVIDER: GSE143588 | GEO | 2023/01/12

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

IL-8 Confers Acquired Resistance to EGFR Inhibitors through Regulating Stem Cell-like Properties in Lung Cancer

Project description:Previous study has demonstrated that PC9/gef cells are resistant to gefitinib-induced aspoptosis. To investigate the regulators contributed to gefitinib resistance in lung cancer, we analyzed the gene expression profiles between PC9 and PC9/gef cells. Our results showed that IL-8 contributes to gefitinib resistance and cancer stemness. In contrast, IL-8 knockdown decreased stem-like characteristics and increased gefitinib-induced apoptosis in PC9/gef cells. RNAs extracted from gefitinib-sensitive PC9 cells and gefitinib-resistant PC9/gef cells were hybridized on Affymetrix microarrays. We tried to compare the differential gene expression profiles between PC9 and PC9/gef cells to identify the possible regulators in gefitinib resistance.

2015-08-12 | E-GEOD-60189 | biostudies-arrayexpress

IL-8 Confers Acquired Resistance to EGFR Inhibitors through Regulating Stem Cell-like Properties in Lung Cancer

2015-08-12 | GSE60189 | GEO

Clinical Utility of Patient Derived Xenografts to Determine Biomarkers of Prognosis and Map Resistance Pathways in EGFR-Mutant Lung Adenocarcinoma

Project description:PURPOSE: Although epidermal growth factor receptor (EGFR) mutated adenocarcinomas initially have very high response rates to EGFR tyrosine kinase inhibitors (TKIs), most atients eventually develop resistance. Patient derived xenografts (PDXs) are considered preferred preclinical models to study the biology of patient tumors. EGFR-mutant PDX models may be valuable tools to study the biology of these tumors and to elucidate mechanisms of resistance to EGFR-targeted therapies. METHODS: Surgically resected early stage non-small cell lung carcinoma (NSCLC) tumors were implanted into non-obese diabetic severe combined immune deficient (NODSCID) mice. EGFR TKI treatment was initiated at tumor volumes of 150 mm3. Gene expression analysis was performed using microarray platform. RESULTS: Of 33 lung adenocarcinomas with EGFR activating mutations, only 6 engrafted 18%) and could be propagated beyond passage one. Engraftment was associated with upregulation of genes involved in mitotic checkpoint and cell proliferation. A differentially expressed gene set between engrafting and non-engrafting patients could identify EGFRmutant patients with significantly different prognoses in The Cancer Genome Atlas (TCGA) Lung Adenocarcinoma datasets. The PDXs included models with variable sensitivity to first- and second-generation EGFR TKIs and the monoclonal antibody cetuximab. All EGFR-mutant NSCLC PDXs studied closely recapitulated their corresponding patient tumor phenotype and clinical course, including response pattern to EGFR TKIs. CONCLUSIONS: PDX models closely recapitulate primary tumor biology and clinical outcome. They may serve as important laboratory models to investigate mechanisms of resistance to targeted therapies, and for preclinical testing of novel treatment strategies.

2017-03-28 | GSE63685 | GEO

JUN-Mediated downregulation of EGFR signaling is associated with resistance to gefitinib in EGFR-mutant NSCLC cell lines [ChIP-seq]

Project description:The Epidermal Growth Factor Receptor (EGFR) regulates a diverse set of biological processes including cell growth, proliferation, and differentiation. Deregulation of the EGFR pathway has been implicated in a variety of human diseases including cancer. Gefitinib and erlotinib are tyrosine kinase inhibitors (TKIs) that have demonstrated clinical benefit for patients with Non-small cell lung cancer (NSCLC) and EGFR activating mutations. However, patients invariably acquire resistance to TKI treatment through a number of mechanisms. We utilized in vitro models of NSCLC with EGFR activating mutations and derived three isogenic cell lines with acquired resistance to gefitinib. We next studied genomewide mRNA expression in resistance and wild type cells and their effect in the reprogramming of pathways in lung cancer cell line models..

2017-06-02 | GSE95590 | GEO

JUN-Mediated downregulation of EGFR signaling is associated with resistance to gefitinib in EGFR-mutant NSCLC cell lines [RNA-seq]

2017-06-02 | GSE95558 | GEO

Patient-derived xenograft models of non-small cell lung cancer for evaluating targeted drug sensitivity and resistance

Project description:Background: Patient-derived xenograft (PDX) models are a useful tool in cancer biology research. However, the number of lung cancer PDXs is limited Results: In the present study, we successfully established ten PDXs, including three adenocarcinoma (AD), six squamous cell carcinoma (SQ) and one large cell carcinoma (LA), from 30 patients with non-small cell lung cancer (NSCLC) (18 AD, 10 SQ, and 2 LA), mainly in SHO mice (Crlj:SHO-PrkdcscidHrhr). Histology of SQ, advanced clinical stage (III-IV), status of lymph node metastasis (N2-3), and maximum standardized uptake value (SUVmax) ≧10 when evaluated using a delayed 18F-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) scan, was associated with successful PDX establishment. Histological analyses revealed that PDXs showed a histology similar to that of patients’ surgically resected tumors (SRTs), while components of the microenvironments were replaced with murine cells after several passages. Next generation sequencing and microarray analyses demonstrated that after 2 to 6 passages, PDXs preserved the majority of the somatic mutations and mRNA expressions of the corresponding SRTs. Two out of three PDXs with AD histology had EGFR mutations (L858R or exon19 deletion) and were sensitive to EGFR tyrosine kinase inhibitors (EGFR-TKIs), such as gefitinib and osimertinib. Furthermore, in one of the two PDXs with an EGFR mutation, osimertinib resistance was induced that was associated with epithelial-to-mesenchymal transition. Conclusions: This study presented ten serially transplantable PDXs of NSCLC in SHO mice and demonstrated the use of PDXs with an EGFR mutation for analyses of EGFR-TKI resistance.

2019-09-12 | GSE130160 | GEO

Genomic profiling of patient-derived xenografts identify high level âpassengerâ gene aberrations associated with better prognosis in non-small cell lung cancer

Project description:Patient-derived tumor xenografts (PDXs) increasingly are being used as preclinical models to study human cancers and to evaluate novel therapeutics, as they reflect clinical cancers more closely than established tumor cell lines. With >100 PDXs established from resected non-small cell lung carcinomas (NSCLC), we reported previously that xenograftability correlates significantly with poorer patient prognosis. In this study, genomic, transcriptomic, and proteomic profiling of 36 PDXs showed greater similarity in somatic alterations between PDX and primary tumors than with cell lines, using publicly available data on the latter. A higher number of somatic alterations among 865 frequently altered genes in the PDX tumors was associated with better overall patient survival (HR=0.15, p=0.00015) compared to patients with corresponding PDXs characterized by a lower number of alterations; this was validated with the TCGA lung cancer patient dataset (HR=0.28, p=0.000022). These passenger-like alterations, identified in PDXs, link cell-cell signaling and adhesion to patient prognosis. Total RNAs from xenograftswere amplified by DASL kit and hybridized to Illumina HT12v4 chip

2016-10-26 | E-GEOD-68929 | biostudies-arrayexpress

Improving the efficacy of EGFR inhibitors by topical treatment of cutaneous squamous cell carcinoma with miR-634 ointment

Project description:For cutaneous squamous cell carcinoma (cSCC), topical treatment is an essential option for patients who are not candidates for or refuse surgery. Epidermal growth factor receptor (EGFR) plays a key role in the development of cSCC, but EGFR tyrosine kinase inhibitors (TKIs), such as gefitinib, have shown only partial clinical benefit in this disease. Thus, there is an unmet need to develop novel strategies for improving the efficacy of TKIs in cSCC. We previously demonstrated that the tumor-suppressive microRNA (miRNA) miR-634 functions as a negative modulator of cytoprotective cancer cell survival processes and is a useful anticancer therapeutic agent. Here, we found that topical application of an ointment containing miR-634 inhibited in vivo tumor growth without toxicity in a cSCC xenograft mouse model and a DMBA/TPA-induced papilloma mouse model. Functional validation revealed that miR-634 overexpression reduced glutaminolysis by directly targeting ASCT2, a glutamine transporter. Furthermore, overexpression of miR-634 synergistically enhanced TKI-induced cytotoxicity by triggering severe energetic stress in vitro and in vivo. Thus, we propose that topical treatment with miR-634 ointment is a useful strategy for improving for EGFR TKI-based therapy for cSCC.

2020-12-15 | GSE159093 | GEO

Effect of EGFR activation on mouse chondrocytes

Project description:We examined the change of chondrocyte transcriptome after EGFR activation by TGF-α and inhibition by gefitinib. Data analysis showed that EGFR activation down-regulates cartilage ECM biosynthesis and promotes ECM degradation. Gefitinib can reverse the effects of EGFR on chondrocytes.

2019-04-24 | GSE113271 | GEO

Ito2019 - gefitnib resistance of lung adenocarcinoma caused by MET amplification

Project description:The model is based on publication: Mathematical analysis of gefitinib resistance of lung adenocarcinoma caused by MET amplification Abstract: Gefitinib, one of the tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR), is effective for treating lung adenocarcinoma harboring EGFR mutation; but later, most cases acquire a resistance to gefitinib. One of the mechanisms conferring gefitinib resistance to lung adenocarcinoma is the amplification of the MET gene, which is observed in 5–22% of gefitinib-resistant tumors. A previous study suggested that MET amplification could cause gefitinib resistance by driving ErbB3-dependent activation of the PI3K pathway. In this study, we built a mathematical model of gefitinib resistance caused by MET amplification using lung adenocarcinoma HCC827-GR (gefitinib resistant) cells. The molecular reactions involved in gefitinib resistance consisted of dimerization and phosphorylation of three molecules, EGFR, ErbB3, and MET were described by a series of ordinary differential equations. To perform a computer simulation, we quantified each molecule on the cell surface using flow cytometry and estimated unknown parameters by dimensional analysis. Our simulation showed that the number of active ErbB3 molecules is around a hundred-fold smaller than that of active MET molecules. Limited contribution of ErbB3 in gefitinib resistance by MET amplification is also demonstrated using HCC827-GR cells in culture experiments. Our mathematical model provides a quantitative understanding of the molecular reactions underlying drug resistance.

2019-09-30 | BIOMD0000000827 | BioModels

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