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[Identification of key pathways and drug repurposing for anaplastic thyroid carcinoma by integrated bioinformatics

Zongfu Pan1, Qilu Fang1, Yiwen Zhang1

  • 1Department of Pharmacy, Zhejiang Cancer Hospital, Hangzhou 310022, China.

Zhejiang Da Xue Xue Bao. Yi Xue Ban = Journal of Zhejiang University. Medical Sciences
|September 19, 2018
PubMed
Abstract

Insights

This study identified key genes and pathways in anaplastic thyroid carcinoma (ATC) using bioinformatics. Researchers also proposed potential drug repurposing strategies for ATC treatment.

Area of Science:

  • Oncology
  • Bioinformatics
  • Genomics

Background:

  • Anaplastic thyroid carcinoma (ATC) is an aggressive thyroid cancer subtype.
  • Identifying molecular drivers and therapeutic targets is crucial for improving ATC patient outcomes.

Purpose of the Study:

  • To identify hub genes and critical signaling pathways in ATC.
  • To explore potential therapeutic intervention strategies for ATC through drug repurposing.

Main Methods:

  • Differential gene expression analysis using Gene Expression Omnibus (GEO) data.
  • Pathway enrichment analysis (KEGG, GO) and protein-protein interaction network construction (STRING, Cytoscape).
  • Hub gene identification (MCODE) and drug repurposing (L1000CDS2).

Main Results:

  • Identified 2087 differentially expressed genes (DEGs) in ATC.
  • Significantly enriched pathways include PI3K-Akt signaling, p53 signaling, inflammatory response, and extracellular matrix organization.
  • Filtered key modules and nine hub genes; identified 22 potential drug candidates for ATC treatment.

Conclusions:

  • Integrated bioinformatics analysis successfully identified crucial hub genes and pathways in ATC.
  • The study provides a novel strategy for ATC treatment, including potential drug repurposing targets.

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