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Related Experiment Video

Updated: Feb 27, 2026

Induction and Analysis of Epithelial to Mesenchymal Transition
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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
PubMed
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.

Keywords:
C1orf116EMTMetastasisMulti-study integrationProstate cancer

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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.