» Articles » PMID: 25210704

Drug Repositioning Discovery for Early- and Late-stage Non-small-cell Lung Cancer

Overview
Journal Biomed Res Int
Publisher Wiley
Date 2014 Sep 12
PMID 25210704
Citations 3
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Identification of differentially-expressed genes between early-stage adenocarcinoma and squamous cell carcinoma lung cancer using meta-analysis methods.

Wang T, Zhang L, Tian P, Tian S Oncol Lett. 2017; 13(5):3314-3322.

PMID: 28521438 PMC: 5431262. DOI: 10.3892/ol.2017.5838.


Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory.

Huang C, Chang P, Hsu C, Huang C, Ng K BMC Bioinformatics. 2016; 17 Suppl 1:2.

PMID: 26817825 PMC: 4895785. DOI: 10.1186/s12859-015-0845-0.


Knockdown of PSF1 expression inhibits cell proliferation in lung cancer cells in vitro.

Zhang J, Wu Q, Wang Z, Zhang Y, Zhang G, Fu J Tumour Biol. 2014; 36(3):2163-8.

PMID: 25398693 DOI: 10.1007/s13277-014-2826-8.

References
1.
Annibaldi A, Widmann C . Glucose metabolism in cancer cells. Curr Opin Clin Nutr Metab Care. 2010; 13(4):466-70. DOI: 10.1097/MCO.0b013e32833a5577. View

2.
Wei T, Juan C, Hisa J, Su L, Lee Y, Chou H . Protein arginine methyltransferase 5 is a potential oncoprotein that upregulates G1 cyclins/cyclin-dependent kinases and the phosphoinositide 3-kinase/AKT signaling cascade. Cancer Sci. 2012; 103(9):1640-50. PMC: 7659304. DOI: 10.1111/j.1349-7006.2012.02367.x. View

3.
Cline M, Smoot M, Cerami E, Kuchinsky A, Landys N, Workman C . Integration of biological networks and gene expression data using Cytoscape. Nat Protoc. 2007; 2(10):2366-82. PMC: 3685583. DOI: 10.1038/nprot.2007.324. View

4.
Kops G, Weaver B, Cleveland D . On the road to cancer: aneuploidy and the mitotic checkpoint. Nat Rev Cancer. 2005; 5(10):773-85. DOI: 10.1038/nrc1714. View

5.
Adamcsek B, Palla G, Farkas I, Derenyi I, Vicsek T . CFinder: locating cliques and overlapping modules in biological networks. Bioinformatics. 2006; 22(8):1021-3. DOI: 10.1093/bioinformatics/btl039. View