Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma

ABSTRACT: Aberrant activation of signaling pathways controlled in normal epithelial cells by the epidermal growth factor receptor (EGFR) has been linked to cetuximab (a monoclonal antibody against EGFR) resistance in head and neck squamous cell carcinoma (HNSCC). To infer relevant and specific pathway activation downstream of EGFR from gene expression in HNSCC, we generated gene expression signatures using immortalized keratinocytes (HaCaT) subjected to either ligand stimulation or pharmacological inhibition of the signaling intermediaries PI-3-Kinase and MEK or transfected with EGFR, RELA/p65, or HRASVal12. The gene expression patterns that distinguished the various HaCaT variants and conditions were inferred using the Markov chain Monte Carlo (MCMC) matrix factorization algorithm Coordinated Gene Activity in Pattern Sets (CoGAPS). This approach inferred gene expression signatures with greater relevance to cell signaling pathway activation than the expression signatures inferred with standard linear models. Furthermore, the pathway signature generated using HaCaT-HRASVal12 further associated with the cetuximab treatment response in isogenic cetuximab-sensitive (UMSCC1) and -resistant (1CC8) cell lines. Our data suggest that the CoGAPS algorithm can generate gene expression signatures that are pertinent to downstream effects of receptor signaling pathway activation and potentially be useful in modeling resistance mechanisms to targeted therapies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE32975 | GEO | 2012/05/23

SECONDARY ACCESSION(S): PRJNA146421

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma

Project description:Aberrant activation of signaling pathways controlled in normal epithelial cells by the epidermal growth factor receptor (EGFR) has been linked to cetuximab (a monoclonal antibody against EGFR) resistance in head and neck squamous cell carcinoma (HNSCC). To infer relevant and specific pathway activation downstream of EGFR from gene expression in HNSCC, we generated gene expression signatures using immortalized keratinocytes (HaCaT) subjected to either ligand stimulation or pharmacological inhibition of the signaling intermediaries PI-3-Kinase and MEK or transfected with EGFR, RELA/p65, or HRASVal12. The gene expression patterns that distinguished the various HaCaT variants and conditions were inferred using the Markov chain Monte Carlo (MCMC) matrix factorization algorithm Coordinated Gene Activity in Pattern Sets (CoGAPS). This approach inferred gene expression signatures with greater relevance to cell signaling pathway activation than the expression signatures inferred with standard linear models. Furthermore, the pathway signature generated using HaCaT-HRASVal12 further associated with the cetuximab treatment response in isogenic cetuximab-sensitive (UMSCC1) and -resistant (1CC8) cell lines. Our data suggest that the CoGAPS algorithm can generate gene expression signatures that are pertinent to downstream effects of receptor signaling pathway activation and potentially be useful in modeling resistance mechanisms to targeted therapies. 58 total RNA collected from HaCaT cell lines with combinations of the following experimental conditions: forced expression of EGFR, RELA/p65, and HRAS-VAL12D; grown in PBS, serum starve, and media stimulated with TNF or EGF; treated with gefitinib, LY294002, and U1026.

2012-05-22 | E-GEOD-32975 | biostudies-arrayexpress

An Inducible TGF-Î²2-TGFÎ²R Pathway Modulates the Sensitivity of HNSCC Cells to Tyrosine Kinase Inhibitors Targeting Dominant Receptor Tyrosine Kinases

Project description:The epidermal growth factor receptor (EGFR) is overexpressed in approximately 90% of head and neck squamous cell carcinomas (HNSCC), and molecularly targeted therapy against the EGFR with the monoclonal antibody cetuximab modestly increases overall survival in head and neck cancer patients. We hypothesize that co-signaling through additional pathways limits the efficacy of cetuximab and EGFR-specific tyrosine kinase inhibitors (TKIs) in the clinical treatment of HNSCC. Analysis of gene expression changes in HNSCC cell lines treated 4 days with TKIs targeting EGFR and/or fibroblast growth factor receptors (FGFRs) identified transforming growth factor beta 2 (TGF-Î²2) induction in the three cell lines tested. Measurement of TGF-Î²2 mRNA validated this observation and extended it to additional cell lines. Moreover, TGF-Î²2 mRNA was increased in primary patient HNSCC xenografts treated for 4 weeks with cetuximab, demonstrating in vivo relevance of these findings. Functional genomics analyses with shRNA libraries identified TGF-Î²2 and TGF-Î² receptors (TGFÎ²Rs) as synthetic lethal genes in the context of TKI treatment. Further, direct RNAi-mediated silencing of TGF-Î²2 inhibited cell growth, both alone and in combination with TKIs. Also, a pharmacological TGFÎ²RI inhibitor similarly inhibited basal growth and enhanced TKI efficacy. In summary, the studies support a TGF-Î²2-TGFÎ²R pathway as a TKI-inducible growth pathway in HNSCC that limits efficacy of EGFR-specific inhibitors. HNSCC cell lines treated 4 days with TKIs targeting EGFR and/or fibroblast growth factor receptors (FGFRs) identified transforming growth factor beta 2 (TGF-Î²2) induction in the three cell lines tested

2016-03-22 | E-GEOD-67500 | biostudies-arrayexpress

CoGAPS matrix factorization algorithm identifies AP-2alpha as a feedback mechanism from therapeutic inhibition of the EGFR network

Project description:Patients with oncogene driven tumors are currently treated with targeted therapeutics such as epidermal growth factor receptor (EGFR) inhibitors. The inhibited oncogenic pathway often interacts with other signaling pathways and alters predicted therapeutic response. Genomic data from The Cancer Genome Atlas (TCGA) demonstrates pervasive molecular alterations to EGFR, MAPK, and PI3K signaling in previously untreated tumors. Therefore, this study uses bioinformatics algorithms to infer the complex pathway interactions that result from EGFR inhibitor use in cancer cells that contain these these common EGFR network genetic alterations. To do this, we modified the HaCaT keratinocyte cell line model of premalignancy to simulate cancer cells with constitutive activation of EGFR, HRAS, and PI3K in a controlled genetic background. We then measured gene expression after treating modified HaCaT cells with three EGFR targeted agents (gefitinib, afatinib, and cetuximab) for 24 hours.

2017-06-12 | GSE80667 | GEO

An Inducible TGF-β2-TGFβR Pathway Modulates the Sensitivity of HNSCC Cells to Tyrosine Kinase Inhibitors Targeting Dominant Receptor Tyrosine Kinases

Project description:The epidermal growth factor receptor (EGFR) is overexpressed in approximately 90% of head and neck squamous cell carcinomas (HNSCC), and molecularly targeted therapy against the EGFR with the monoclonal antibody cetuximab modestly increases overall survival in head and neck cancer patients. We hypothesize that co-signaling through additional pathways limits the efficacy of cetuximab and EGFR-specific tyrosine kinase inhibitors (TKIs) in the clinical treatment of HNSCC. Analysis of gene expression changes in HNSCC cell lines treated 4 days with TKIs targeting EGFR and/or fibroblast growth factor receptors (FGFRs) identified transforming growth factor beta 2 (TGF-β2) induction in the three cell lines tested. Measurement of TGF-β2 mRNA validated this observation and extended it to additional cell lines. Moreover, TGF-β2 mRNA was increased in primary patient HNSCC xenografts treated for 4 weeks with cetuximab, demonstrating in vivo relevance of these findings. Functional genomics analyses with shRNA libraries identified TGF-β2 and TGF-β receptors (TGFβRs) as synthetic lethal genes in the context of TKI treatment. Further, direct RNAi-mediated silencing of TGF-β2 inhibited cell growth, both alone and in combination with TKIs. Also, a pharmacological TGFβRI inhibitor similarly inhibited basal growth and enhanced TKI efficacy. In summary, the studies support a TGF-β2-TGFβR pathway as a TKI-inducible growth pathway in HNSCC that limits efficacy of EGFR-specific inhibitors.

2016-03-22 | GSE67500 | GEO

The expression profile of Cetuximab resistance in head-and-neck squamous cell carcinoma cells.

Project description:Cetuximab (Erbitux) is an antibody drug against EGFR and commonly used in late stage HNSCC and metastatic colorectal cancer. The oncogenic mutation of certain genes are known to drive Cetuximab resistance such as K-RAS or b-RAF mutation. The aberrant activation of signaling pathways in the presence of Cetuximab treatment to overcome cellular stress contribute to acquired resistance to Cetuximab as well. To better understand the mechanisms and molecular patterns of Cetuximab resistant cells, the Cetuximab resistant cells are trained for examining the gene expression profile. The gene expression array is used for identify the molecular signature governing the Cetuximab resitance.

2017-03-02 | GSE63916 | GEO

Functional RNAi Screens Define Distinct Protein Kinase Vulnerabilities in EGFR-Dependent HNSCC Cell Lines

Project description:Cetuximab, an epidermal growth factor receptor (EGFR) inhibitory antibody, is an approved therapy for head and neck squamous cell carcinoma (HNSCC). Despite the EGFR dependency of HNSCC, cetuximab alone or combined with radio- or chemotherapy fails to yield long-term control or cures. Herein, we submitted EGFR-dependent HNSCC cell lines to RNAi-based functional genomics screens to identify, in an unbiased fashion, essential protein kinases for growth and survival as well as synthetic lethal targets for combined inhibition with EGFR inhibitors. MTOR and ERBB3 were identified as the highest ranking essential kinase hits. MTOR dependency was confirmed by distinct shRNAs and high sensitivity of the cell lines to AZD8055 while ERBB3 dependency was validated by shRNA-mediated silencing. Further, a synthetic lethal kinome shRNA screen with a pan-ERBB inhibitor, AZD8931, identified multiple components of the ERK MAPK pathway, consistent with ERK reactivation and/or incomplete ERK pathway inhibition in response to EGFR inhibitor monotherapy. As validation, distinct MEK inhibitors yielded synergistic growth inhibition when combined with the EGFR inhibitors, gefitinib and AZD8931. The findings identify ERBB3 and MTOR as important pharmacological vulnerabilities in HNSCC and support combining MEK and EGFR inhibitors to enhance efficacy of agents such as cetuximab.

2020-01-29 | GSE132788 | GEO

Gene expression associated with panitumumab efficacy in squamous cell carcinoma of head and neck

Project description:Platinum-based chemotherapy plus cetuximab, an anti-Epidermal Growth Factor Receptor (EGFR) monoclonal antibody (Mab), is usually offered to recurrent/metastatic (R/M) head-neck squamous cell carcinoma (HNSCC) patients, with only a small portion experiencing durable responses. The anti-EGFR-Mab panitumumab, was used as single agent in platinum pre-treated R/M-HNSCC patients in a phase II trial (PANI01). By analyzing gene expression profiles of a selected retrospective series of HNSCC patients treated with cetuximab, an anti-Epidermal Growth Factor Receptor (EGFR) monoclonal antibody (MAb), associated to chemotherapy, we were able to propose that long progression-free survival (PFS) cases consistently belong to defined molecular subtypes, such as Cluster3-hypoxia and Basal subtypes, respectively defined by De Cecco et al [DeCecco; Oncotarget, 2015] and Keck et al [Keck; CCR,2015], while short-PFS cases are characterized by an over-activation of RAS signaling

2019-01-23 | GSE102995 | GEO

Evaluation of gene expression changes upon acquired resistance to anti-EGFR treatment in head and neck squamous cell carcinoma

Project description:We deciphered molecular mechanisms associated with acquired resistance to anti-EGFR targeted therapy in head and neck squamous cell carcinoma (HNSCC) by comparing gene expression profiles in cetuximab-sensitive and -resistant patient-derived xenograft (PDX) models of HNSCC. We generated and validated several HNSCC PDX models. Resistance mechanisms to anti-EGFR therapy were investigated in one of these PDX models (UCLHN04). First, sensitivity to cetuximab treatment was tested. This model showed high sensitivity to this drug. We induced acquired resistance to anti-EGFR therapy in this sensitive model by treating it chronically with anti-EGFR monoclonal antibody (cetuximab, 30 mg/kg/week) until resistance ensues. RNA-seq analysis was performed on samples coming from untreated and cetuximab-resistant PDX, revealing major changes of expression at the mRNA level.

2024-11-08 | GSE235417 | GEO

Overcoming cetuximab resistance in HNSCC: The role of AURKB and DUSP proteins

Project description:Unraveling the underlying mechanisms of cetuximab resistance in head and neck squamous cell carcinoma (HNSCC) is of major importance as many tumors remain non-responsive or become resistant. Out microarray results suggest that resistant cells still exhibit RAS-MAPK pathway signaling contributing to drug resistance, as witnessed by low expression of DUSP 5 and DUSP6, negative regulators of ERK1/2, and increased expression of AURKB, a key regulator of mitosis. Therefore, interrupting the RAS-MAPK pathway by an ERK1/2 inhibitor (apigenin) or an AURKB inhibitor (barasertib) might be a new strategy for overcoming cetuximab resistance in HNSCC 4 head and neck squamous cell carcinoma (HNSCC) cell lines were treated with either 15 nM cetuximab or PBS during 13 hours. For each cell line, differential gene expression was assessed between cetuximab and PBS treatments.

2014-09-18 | E-GEOD-61495 | biostudies-arrayexpress

HNSCC cell lines for CoGAPS matrix factorization algorithm identifies AP-2alpha as a feedback mechanism from therapeutic inhibition of the EGFR network

Project description:To determine the expression AP2-alpha target genes, global gene expression of 7 HNSCC cell lines with and without cetuximab treatment (100 nM, 24 hrs) and the HaCaT keratinocyte cell line was performed.

2017-06-12 | GSE62027 | 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