Related Experiment Video
Updated: Dec 25, 2025

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer
Published on: July 21, 2018
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.
Background:
Drug repositioning, development of new uses for marketed drugs, is an effective way to discover new antitumor compounds. In this study, we used a new method, filtering compounds via molecular docking to find key targets combination.
Methods:
The data of gene expression in cancer and normal tissues of colorectal, breast, and liver cancer were obtained from The Cancer Genome Atlas Project (TCGA). The key targets combination was obtained from the protein-protein interaction network (PPI network) and the correlation analysis of the targets. Molecular docking was used to reposition the drugs which were obtained from DrugBank. MTT proliferation assay and animal experiments were used to verify the activity of candidate compounds. Flow cytometric analysis of proliferation, cell cycle and apoptosis, slice analysis, gene regulatory network, and Western blot were performed to elucidate the mechanism of drug action.
Results:
CDK1 and AURKB were identified as a pair of key targets by the analysis of different expression gene from TCGA. Three compounds, linagliptin, mupirocin, and tobramycin, from 12 computationally predicted compounds, were verified to inhibit cell viability in HCT116 (colorectal), MCF7 (breast), and HepG2 (liver) cancer cells. Linagliptin, a hypoglycemic drug, was proved to inhibit cell proliferation by cell cycle arrest and induce apoptosis in HCT116 cells, and suppress tumor growth in nude mice bearing HCT116 cells. Linagliptin reduced the tumor size and decreased the expression of Ki67, a nuclear protein expressed in all proliferative cells. Gene regulatory network and Western blot analysis suggested that linagliptin inhibited tumor cell proliferation and promoted cell apoptosis through suppressing the expression and phosphorylation of Rb, plus down-regulating the expression of Pro-caspase3 and Bcl-2, respectively.
Conclusion:
The combination of key targets based on the protein-protein interaction network that were built by the different gene expression of TCGA data to reposition the marketed drugs turned out to be a new approach to discover new antitumor drugs. Hypoglycemic drug linagliptin could potentially lead to novel therapeutics for the treatment of tumors, especially for colorectal cancer. Gene regulatory network is a valuable method for predicting and explaining the mechanism of drugs action.
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.
Related Concept Videos
Oral Hypoglycemic Agents: Glinides
Dipeptidyl Peptidase 4 Inhibitors
Glucagon-like Receptor Agonists
GLP-1, when administered in high doses intravenously, triggers insulin secretion, inhibits glucagon release, slows gastric emptying, reduces food intake, and restores normal insulin secretion. However, its rapid inactivation by...
Oral Hypoglycemic Agents: Biguanides and Glitazones
Hypoglycemia and Glucagon
Oral Hypoglycemic Agents: α-Glucosidase Inhibitors
Acarbose and miglitol are...

