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Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
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Discovery of core genes in colorectal cancer by weighted gene co-expression network analysis

Cun Liao1, Xue Huang2, Yizhen Gong1

  • 1Department of Colorectal and Anal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530000, P.R. China.

Oncology Letters
|August 13, 2019
PubMed

Insights

This study explored interactions between messenger RNAs (mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) in colorectal cancer (CRC). Researchers identified key regulatory networks and potential therapeutic targets, including MIR22HG and RP11-61I13.3, offering insights into CRC mechanisms.

Area of Science:

  • Molecular Biology
  • Genomics
  • Cancer Research

Background:

  • Colorectal cancer (CRC) progression involves complex gene regulatory networks.
  • Understanding interactions among messenger RNAs (mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) is crucial for elucidating CRC mechanisms.

Purpose of the Study:

  • To investigate the intricate interactions among mRNAs, miRNAs, and lncRNAs in colorectal cancer.
  • To identify key regulatory networks and potential therapeutic targets in CRC.

Main Methods:

  • Utilized Gene Expression Omnibus (GEO) database for raw gene expression data.
  • Employed GEO2R and limma for differential gene expression analysis.
  • Constructed coding non-coding (CNC) and competing endogenous RNA (ceRNA) networks using weighted gene co-expression analysis, Lncbase, and mirWalk.
  • Validated findings in The Cancer Genome Atlas (TCGA) dataset.

Main Results:

  • Identified 3,183 dysregulated mRNAs, 78 miRNAs, and 2,248 lncRNAs.
  • Constructed a CNC network with 169 genes, highlighting 'p53 signaling pathway' and 'cell cycle' as significant pathways.
  • Established a validated ceRNA network involving MIR22HG, RP11-61I13.3, five miRNAs, and five mRNAs (ANK2, BTK, GBP2, PCSK5, PDK4).

Conclusions:

  • MIR22HG and RP11-61I13.3 may regulate CRC progression by sponging miRNAs and affecting target mRNAs like PCSK5, BTK, PDK4, and ANK2, GBP2.
  • The study reveals potential functions of these genes in CRC.
  • Further validation is needed to confirm the diagnostic and prognostic value of these identified genes.
Keywords:
The Cancer Genome Atlasbioinformatics analysiscolorectal cancercompeting endogenous RNAweighted gene co-repression analysis

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