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Related Experiment Video

Updated: Feb 28, 2026

Molecular Profiling of the Invasive Tumor Microenvironment in a 3-Dimensional Model of Colorectal Cancer Cells and Ex vivo Fibroblasts
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A putative molecular network associated with colon cancer metastasis constructed from microarray data.

Songtao Chu1, Haipeng Wang1, Miao Yu2

  • 1Department of Forensic Medicine of Basic Medical College, Beihua University, Jilin, 132013, Jilin Province, China.

World Journal of Surgical Oncology
|June 21, 2017
PubMed
Summary

This study identified key genes, transcription factors, and microRNAs involved in colon cancer metastasis by analyzing gene expression data. These molecular players may be crucial for understanding and potentially treating colon cancer spread.

Keywords:
Colon cancerDifferentially expressed geneIntegrated networkMetastasisProtein–protein interaction

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Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Colon cancer metastasis is a significant clinical challenge.
  • Identifying molecular drivers of metastasis is crucial for developing targeted therapies.

Purpose of the Study:

  • To identify the molecular network associated with colon cancer metastasis.
  • To uncover key differentially expressed genes (DEGs), transcription factors (TFs), and microRNAs (miRNAs) involved in the metastatic process.

Main Methods:

  • Utilized gene expression profile dataset (GSE40367) to identify DEGs between primary colon cancer and metastatic tissues.
  • Performed functional analysis, protein-protein interaction (PPI) analysis, and predicted regulatory TFs and miRNAs.
  • Constructed an integrated network of DEGs, TFs, and miRNAs.
  • Validated key findings using an independent dataset (GSE68468).

Main Results:

  • Identified 262 upregulated and 216 downregulated DEGs in metastatic tissues, primarily involved in cell adhesion and junction functions.
  • Predicted 17 TFs and 39 miRNAs regulating these DEGs, with 490 PPIs identified.
  • Constructed a comprehensive molecular network, highlighting key genes like FGF2, ERBB4, PTPRC, CXCR4, CCL2, and CCL4.
  • Validated several key DEGs, including FGF2, ERBB4, PTPRC, LCP2, CCL2, and CCL4, in an independent dataset.

Conclusions:

  • The identified DEGs, TFs, and miRNAs form a critical molecular network potentially driving colon cancer metastasis.
  • These findings provide insights into the molecular mechanisms of colon cancer progression and offer potential therapeutic targets.