Repositioning of Hypoglycemic Drug Linagliptin for Cancer Treatment

Yong Li1, Yiqun Li1, Dengke Li1

  • 1School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.

Abstract

Insights

Drug repositioning identified linagliptin as a potential colorectal cancer therapeutic. This study used molecular docking and gene expression data to find new antitumor drugs, highlighting linagliptin

Area of Science:

  • Oncology
  • Pharmacology
  • Bioinformatics

Background:

  • Drug repositioning offers an effective strategy for identifying novel antitumor agents.
  • This study employed a novel approach combining molecular docking with target identification to discover new drug uses.

Purpose of the Study:

  • To identify potential antitumor compounds through drug repositioning.
  • To investigate the efficacy and mechanism of action of identified compounds against cancer cell lines and tumors.

Main Methods:

  • Utilized The Cancer Genome Atlas Project (TCGA) data for differential gene expression analysis in colorectal, breast, and liver cancers.
  • Constructed protein-protein interaction (PPI) networks to identify key target combinations.
  • Employed molecular docking to screen and reposition drugs from DrugBank.
  • Validated compound activity using MTT assays, animal experiments, flow cytometry, and Western blot analysis.

Main Results:

  • Identified CDK1 and AURKB as key targets.
  • Linagliptin, mupirocin, and tobramycin demonstrated inhibitory effects on cancer cell viability.
  • Linagliptin suppressed tumor growth in vivo, induced apoptosis, and arrested cell cycle in colorectal cancer cells.
  • Elucidated linagliptin's mechanism involving suppression of Rb, Pro-caspase3, and Bcl-2 expression.

Conclusions:

  • A novel drug repositioning strategy combining PPI networks and gene expression data can identify new antitumor drugs.
  • The hypoglycemic drug linagliptin shows significant potential as a novel therapeutic for colorectal cancer.
  • Gene regulatory network analysis is a valuable tool for predicting and explaining drug mechanisms.

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