Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MUC1-induced transcriptional alterations in rat 3Y1 embryonic fibroblasts

ABSTRACT: The MUC1 oncoprotein is aberrantly overexpressed in diverse human malignancies including breast and lung cancer. Although MUC1 modulates the activity of several transcription factors, there is no information regarding the effects of MUC1 on global gene expression patterns and the potential role of MUC1-induced genes in predicting outcome for cancer patients. We have developed an experimental model of MUC1-induced transformation that has identified the activation of gene families involved in oncogenesis, angiogenesis and extracellular matrix remodeling. A set of experimentally-derived MUC1-induced genes associated with tumorigenesis was applied to the analysis of breast and lung adenocarcinoma cancer databases. A 35-gene MUC1-induced tumorigenesis signature (MTS) predicts significant decreases in both disease-free and overall survival in patients with breast (n = 295) and lung (n = 442) cancers. The data demonstrate that the MUC1 oncoprotein contributes to the regulation of genes that are highly predictive of clinical outcome in breast and lung cancer patients. Keywords: Expression profiling by microarray

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE14337 | GEO | 2009/04/10

SECONDARY ACCESSION(S): PRJNA111519

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcription profiling of rat 3Y1 embryonic fibroblasts to identify MUC1-induced transcriptional alterations

Project description:The MUC1 oncoprotein is aberrantly overexpressed in diverse human malignancies including breast and lung cancer. Although MUC1 modulates the activity of several transcription factors, there is no information regarding the effects of MUC1 on global gene expression patterns and the potential role of MUC1-induced genes in predicting outcome for cancer patients. We have developed an experimental model of MUC1-induced transformation that has identified the activation of gene families involved in oncogenesis, angiogenesis and extracellular matrix remodeling. A set of experimentally-derived MUC1-induced genes associated with tumorigenesis was applied to the analysis of breast and lung adenocarcinoma cancer databases. A 35-gene MUC1-induced tumorigenesis signature (MTS) predicts significant decreases in both disease-free and overall survival in patients with breast (n = 295) and lung (n = 442) cancers. The data demonstrate that the MUC1 oncoprotein contributes to the regulation of genes that are highly predictive of clinical outcome in breast and lung cancer patients. Experiment Overall Design: To investigate the genes associated with MUC1-CD-induced transformation and tumorigenesis, we performed expression profiling of 3Y1/Vector (empty vector-transfected 3Y1) and 3Y1/MUC1-CD (MUC1-CD-transfected 3Y1) cells growing in vitro, and of 3Y1/MUC1-CD cells growing as tumor xenografts in athymic mice. Cells grown in vitro or as tumor xenografts were lysed to collect total RNA for hybridization with GeneChipÂ® Rat Genome 230 2.0 Arrays.

2009-04-19 | E-GEOD-14337 | biostudies-arrayexpress

MUC1 triggers lineage plasticity of Her2 positive mammary tumor

Project description:The aberrant overexpression of mucin 1 (MUC1) and human epidermal growth factor receptor 2 (HER2) are often observed in breast cancer. However, the role of concomitant of MUC1/HERR2 in the development of breast cancer has not been fully illustrated. Following analysis public microarray datasets that revealed a correlation of double positive of MUC1 and HER2 to a worse clinical outcome, we generated a mouse model overexpressing both Her2 and MUC1 cytoplasmic domain (MUC1-CD) to investigate their interaction in mammary carcinogenesis. Coexpression of Her2 and MUC1-CD confers growth advantage and promotes the development of spontaneous mammary tumors. Genomic analysis uncovers that enforced expression of MUC1-CD and Her2 induces mammary tumor lineage plasticity which is supported by gene reprogramming and mammary stem cell enrichment. With gain- and loss-of function strategies, we show that coexpression of Her2 and MUC1-CD was associated with down-regulation of TCA cycle genes in tumors. Importantly, the reduction of TCA cycle genes induced by MUC1-CD is is significantly connected to the poor prognosis in HER2+ breast cancer patients. In addition, MUC1 augments Her2 signaling pathway by inducing Her2/Egfr dimerization. These findings collectively demonstrate the vital role of MUC1-CD/Her2 collaboration in shaping mammary tumor landscape and highlight the prognostic and therapeutic implication of MUC1 in patients with Her2+ breast cancer.

2022-03-10 | GSE198239 | GEO

Oncogenic zinc finger protein ZNF322A promotes lung cancer stemness through transcriptionally suppressing c-Myc expression [ChIP-Seq]

Project description:ZNF322A, a C2H2 zinc finger transcription factor, is an oncoprotein in lung cancer. However, the transcription mechanisms of ZNF322A in lung cancer stemness remain elusive. By integrating our chromatin immunoprecipitation-sequencing and RNA-sequencing datasets, we identified and validated transcriptional targets of ZNF322A, which significantly enriched in developmental processes. Indeed, overexpression of ZNF322A promoted self-renewal ability and increased stemness-related gene expressions in vitro and in vivo. Importantly, ZNF322A bound directly to c-Myc promoter to transcriptionally suppress c-Myc expression, which in turn increased mitochondrial oxidative phosphorylation, promoted cell motility and thus maintained lung cancer stemness properties. Clinically, ZNF322AHigh/c-MycLow expression profile was revealed as an independent factor for poor outcome of lung cancer patients. Our study provides first evidence that ZNF322A-centered transcriptome promotes lung tumorigenesis and ZNF322A acts as a transcription suppressor of c-Myc to maintain lung cancer stemness by shifting metabolism phenotype to oxidative phosphorylation.

2019-09-25 | GSE94656 | GEO

Oncogenic zinc finger protein ZNF322A promotes lung cancer stemness through transcriptionally suppressing c-Myc expression [RNA-Seq]

2019-09-25 | GSE94537 | GEO

Transcription profiling of human cohort of lymph node-negative breast cancer patients identifies a six-gene signature predicting breast cancer lung metastasis

Project description:The lungs are a frequent target of metastatic breast cancer cells, but the underlying molecular mechanisms are unclear. All existing data were obtained either using statistical association between gene expression measurements found in primary tumors and clinical outcome, or using experimentally derived signatures from mouse tumor models. Here, we describe a distinct approach that consists to utilize tissue surgically resected from lung metastatic lesions and compare their gene expression profiles with those from non-pulmonary sites, all coming from breast cancer patients. We demonstrate that the gene expression profiles of organ-specific metastatic lesions can be used to predict lung metastasis in breast cancer. We identified a set of 21 lung metastasis-associated genes. Using a cohort of 72 lymph node-negative breast cancer patients, we developed a six-gene prognostic classifier that discriminated breast primary cancers with a significantly higher risk of lung metastasis. We then validated the predictive ability of the six-gene signature in 3 independent cohorts of breast cancers consisting of a total of 721 patients. Finally, we demonstrated that the signature improves risk stratification independently of known standard clinical parameters and a previously established lung metastasis signature based on an experimental breast cancer metastasis model. Experiment Overall Design: We used microarrays to identify lung metastasis-related genes in a series of 23 patients with breast cancer metastases. No replicate, no reference sample.

2009-03-07 | E-GEOD-11078 | biostudies-arrayexpress

MUC1 elevation promote the progress of cervical squamous cell carcinoma through ERK phosphorylation and ITGA2/ITGA3

Project description:In contrast to the decreasing trends in developed countries, the incidence and mortality rates of cervical cancer in China have increased significantly. Screening and identification of reliable biomarkers and candidate drug targets of cervical cancer are urgent to improve the survival rate and quality of life of patients. In this study, we demonstrated that MUC1 displayed elevation in cervical squamous cell carcinoma (CSCC). The expression of MUC1 was higher in neoplastic compared with non-neoplastic tissues of the cervix, indicated its potential in early diagnosis of cervical squamous cell carcinoma. Next, we explored the regulatory mechanism of MUC1 in CSCC. MUC1 overexpression promoted the proliferation and metastasis abilities of cervical cancer cells. MUC1 could regulate ERK phosphorylation, then upregulated ITGA2 and ITGA3 expression. Further knockdown of ITGA2 and ITGA3 significantly inhibited tumorigenesis of cervical cancer cells. Moreover, we designed a combination drug regimen with MUC1-siRNA and ERK inhibitor in vivo, founding that the combination of drugs achieved better results in animals with xenograft compared with targeting MUC1 alone. Taken together, we discovered a novel regulatory MUC1/ERK/ITGA2/3 pathway in cervical cancer that may serve as potential biomarkers and therapeutic targets in the future.

2023-08-21 | GSE241017 | GEO

Gene expression of S100A10 knocked down human breast cancer cells

Project description:The expression level of S100A10 was much higher in the CD44+ cancer cells metastasized to the liver than those at the primary site in the breast cancer patient-derived tumor xenograft mice. Expression level of S100A10 increased by the oncoprotein, PML/RARα and RAS, and its higher expression is linked to worse outcome in a number of cancer types including breast cancers

2021-09-07 | GSE157497 | GEO

REQUIREMENT FOR PKC EPSILON IN KRAS-DRIVEN LUNG TUMORIGENESIS

Project description:Non-small cell lung cancer (NSCLC), the most frequent subtype of lung cancer, remains a highly lethal malignancy and one of the leading causes of cancer deaths worldwide. Mutant KRAS is the prevailing oncogenic driver of lung adenocarcinoma, the most common histological form of NSCLC. In this study, we examined the role of PKCe, an oncogenic kinase highly expressed in NSCLC and other cancers, in KRAS-driven tumorigenesis. Notably, database analysis revealed an association between PKCe expression and poor outcome in lung adenocarcinoma patients specifically having KRAS mutation. By generating a PKCe-deficient, conditionally activatable allele of oncogenic Kras (LSL-Kras G12D ;PKCe -/- mice) we were able to demonstrate the requirement of PKCe for Kras-driven lung tumorigenesis in vivo, which is consistent with the impaired transformed growth observed in PKCe-deficient KRAS-dependent NSCLC cells. Moreover, PKCe-knockout mice were found to be less susceptible to lung tumorigenesis induced by benzo[a]pyrene, a carcinogen that induces mutations in Kras. Mechanistic analysis using RNA-Seq revealed little overlapping for PKCe and KRAS in the control of genes/biological pathways relevant in NSCLC, suggesting that a permissive role of PKCe in KRAS-driven lung tumorigenesis may involve non-redundant mechanisms. Our results thus highlight the relevance and potential of targeting PKCe for lung cancer therapeutics.

2020-07-31 | GSE149205 | GEO

caArray_jacob-00182: Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study

Project description:Here we report a large, training*testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas.

2015-05-02 | GSE68465 | GEO

caArray_jacob-00182: Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study

2015-05-02 | E-GEOD-68465 | 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