In silico analysis of expression pattern of a Wnt/β-catenin responsive gene ANLN in gastric cancer

Narayanan Sathiya Pandi1, Muthaiah Manimuthu1, Palaniswamy Harunipriya1

  • 1Unit of Rural Biotechnology, Saraswathi Narayanan College, Madurai Kamaraj University, Madurai 625022, India.

Gene
|May 10, 2014
PubMed

Insights

Anillin (ANLN) is overexpressed in gastric cancer (GC), particularly in intestinal and proliferative types. Its expression is linked to Wnt/β-catenin signaling, suggesting ANLN as a potential biomarker for gastric cancer subtypes.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Anillin (ANLN), an actin-binding protein, plays a role in cytokinesis and is dysregulated in various cancers, including gastric cancer (GC).
  • The specific regulatory mechanisms and clinical implications of ANLN in GC remain largely unelucidated.

Purpose of the Study:

  • To investigate the clinical significance of ANLN in GC.
  • To identify potential regulators of ANLN expression in GC.
  • To explore the association between ANLN and GC subtypes.

Main Methods:

  • Analysis of in vitro perturbed β-catenin mRNA expression profiles to identify Wnt/β-catenin associated regulation.
  • Examination of publicly available genome-wide mRNA expression profiles from gastric tumors.
  • Application of single-sample prediction methods and in silico pathway analysis.

Main Results:

  • ANLN is significantly overexpressed in gastric tumors compared to normal tissue.
  • Elevated ANLN expression correlates with the intestinal subtype of GC.
  • ANLN is overexpressed in proliferative type GC tumors relative to invasive and metabolic types.
  • In silico analysis confirmed a link between Wnt/β-catenin signaling and ANLN expression in GC.

Conclusions:

  • ANLN expression serves as a molecular predictor for intestinal and proliferative subtypes of gastric cancer.
  • The Wnt/β-catenin pathway is implicated in the regulation of ANLN in GC.
  • Understanding ANLN's role offers insights into GC heterogeneity and potential therapeutic targets.

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