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The Clinicopathological Significance of miR-133a in Colorectal Cancer

  • Timothy Ming Hun Wan
  • , Colin Siu Chi Lam
  • , Lui Ng
  • , Ariel Ka Man Chow
  • , Sunny Kit Man Wong
  • , Hung Sing Li
  • , Johnny Hon Wai Man
  • , Oswens Siu Hung Lo
  • , Dominic Foo
  • , Alvin Cheung
  • , Thomas Yau
  • , Jensen Tung Chung Poon
  • , Ronnie Tung Ping Poon
  • , Wai Lun Law
  • , Roberta Wen Chi Pang

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

This study determined the expression of microRNA-133a (MiR-133a) in colorectal cancer (CRC) and adjacent normal mucosa samples and evaluated its clinicopathological role in CRC. The expression of miR-133a in 125 pairs of tissue samples was analyzed by quantitative real-time polymerase chain reaction (qRT-PCR) and correlated with patient's clinicopathological data by statistical analysis. Endogenous expression levels of several potential target genes were determined by qRT-PCR and correlated using Pearson's method. MiR-133a was downregulated in 83.2% of tumors compared to normal mucosal tissue. Higher miR-133a expression in tumor tissues was associated with development of distant metastasis, advanced Dukes and TNM staging, and poor survival. The unfavorable prognosis of higher miR-133a expression was accompanied by dysregulation of potential miR-133a target genes, LIM and SH3 domain protein 1 (LASP1), Caveolin-1 (CAV1), and Fascin-1 (FSCN1). LASP1 was found to possess a negative correlation (γ=-0.23), whereas CAV1 exhibited a significant positive correlation (γ=0.27), and a stronger correlation was found in patients who developed distant metastases (γ=0.42). In addition, a negative correlation of FSCN1 was only found in nonmetastatic patients. In conclusion, miR-133a was downregulated in CRC tissues, but its higher expression correlated with adverse clinical characteristics and poor prognosis.

Original languageEnglish
Article number919283
JournalDisease Markers
Volume2014
DOIs
Publication statusPublished - 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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