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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Drug repositioning discovery for early- and late-stage non-small-cell lung cancer
Chien-Hung Huang1, Peter Mu-Hsin Chang2, Yong-Jie Lin1
1Department of Computer Science and Information Engineering, National Formosa University, 64 Wen-Hwa Road, Hu-Wei, Yun-Lin 632, Taiwan.
Abstract:
Drug repositioning is a popular approach in the pharmaceutical industry for identifying potential new uses for existing drugs and accelerating the development time. Non-small-cell lung cancer (NSCLC) is one of the leading causes of death worldwide. To reduce the biological heterogeneity effects among different individuals, both normal and cancer tissues were taken from the same patient, hence allowing pairwise testing. By comparing early- and late-stage cancer patients, we can identify stage-specific NSCLC genes. Differentially expressed genes are clustered separately to form up- and downregulated communities that are used as queries to perform enrichment analysis. The results suggest that pathways for early- and late-stage cancers are different. Sets of up- and downregulated genes were submitted to the cMap web resource to identify potential drugs. To achieve high confidence drug prediction, multiple microarray experimental results were merged by performing meta-analysis. The results of a few drug findings are supported by MTT assay or clonogenic assay data. In conclusion, we have been able to assess the potential existing drugs to identify novel anticancer drugs, which may be helpful in drug repositioning discovery for NSCLC.
Insights
This study identifies potential new cancer drugs by repurposing existing medications for non-small-cell lung cancer (NSCLC). Researchers analyzed gene expression differences between early and late stages to find novel therapeutic targets.
Area of Science:
- Oncology
- Pharmacology
- Bioinformatics
Background:
- Non-small-cell lung cancer (NSCLC) is a major global health concern.
- Drug repositioning offers a faster route to discovering new cancer therapies.
- Patient-derived normal and tumor tissues minimize biological variability.
Purpose of the Study:
- To identify stage-specific genes in NSCLC.
- To discover potential drug candidates for NSCLC through drug repositioning.
- To validate repositioned drugs using experimental assays.
Main Methods:
- Pairwise comparison of gene expression in normal versus cancer tissues.
- Clustering of differentially expressed genes and enrichment analysis.
- Utilizing the cMap web resource and meta-analysis for drug prediction.
Main Results:
- Distinct gene expression pathways identified for early- and late-stage NSCLC.
- Several potential drug candidates for NSCLC were predicted.
- Some predicted drug findings were supported by MTT and clonogenic assays.
Conclusions:
- This study successfully assessed existing drugs for novel anticancer applications in NSCLC.
- The findings contribute to drug repositioning discovery for NSCLC treatment.
- The identified drugs show promise for accelerating NSCLC therapy development.
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