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Induction and Analysis of Epithelial to Mesenchymal Transition
Published on: August 27, 2013
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Identifying global expression patterns and key regulators in epithelial to mesenchymal transition through multi-study
Princy Parsana1, Sarah R Amend2, James Hernandez2
1Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
BMC Cancer
|June 28, 2017
Summary
Researchers identified novel genes driving epithelial to mesenchymal transition (EMT), a key process in cancer metastasis. Decreased expression of C1orf116 correlates with poor prognosis in lung and prostate cancers, highlighting its role in maintaining the epithelial phenotype.
Area of Science:
- Cancer Biology
- Molecular Oncology
- Genomics
Background:
- Epithelial to mesenchymal transition (EMT) is crucial for development, wound healing, and tumor metastasis.
- EMT involves epithelial cells gaining motility and invasive properties, contributing to cancer progression.
Purpose of the Study:
- To identify novel genes and global expression patterns associated with EMT.
- To validate candidate EMT regulators in cancer cell models.
Main Methods:
- Integrated 15 gene expression microarray datasets from GEO, encompassing 6 cancer types.
- Applied normalization and correction methods to identify a consensus list of differentially expressed EMT genes.
- Validated novel EMT genes, including C1orf116, at mRNA and protein levels using in vitro models and siRNA knockdown.
Main Results:
- Identified known epithelial (CDH1) and mesenchymal (ZEB1) markers, alongside novel epithelial (LSR, S100A14) and mesenchymal (DPYSL3) genes.
- Discovered C1orf116 as a novel EMT-associated gene, with decreased expression linked to poor prognosis in lung and prostate cancer.
- Demonstrated that C1orf116 knockdown in prostate cancer cells induced mesenchymal gene expression, suggesting a role in maintaining epithelial phenotype.
Conclusions:
- A comprehensive analysis identified global EMT expression patterns and novel regulatory genes.
- C1orf116 is a novel candidate driver of the epithelial phenotype and a potential prognostic marker in cancer.
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