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- Title
Screening the metastasis-related small molecule compounds of colorectal cancer by bioinformatics methods.
- Authors
QI Lu; DING Yan-qing
- Abstract
Objective To screen and analyze small molecule therapeutic compounds dissociated with colorectal cancer metastasis. Methods First statistical comparison was made for the expression profile data of early metastasizing colorectal cancer tissues wíth the data of normal colorectum tissues to screen the differentially expressed genes. Then the matching patterns between differenfially expressed genes and the small molecules were used to screen small molecule therapeutic tanespimycin compounds associated with early colorectal cancer metastasis. Last, the enrichment status of the small molecule therapeutic compounds target protein were analyzed to screen the colorectal cancellated target protein. We combined the colorectal cancer expresiion profile and the bond strength between small molecule compounds and the target protein to screen the most relevant target protein and build a regulatory network. Results By the small molecule compounds enrichment analysis, tanespimycin had the highest score, the target protein of tanespimycin had the highest score of enrichment in colorectal cancer. It indicated that tanespimycin was closely related to colorectal cancer. By synthesizing the expression profile and the molecular bonding strength, we found that the colorectal cancer-related target proteins named CHEK1, AURKA, GSTP1 and NQO1 might be the key proteins of tanespimycin therapy that inhibhed the metastasis of colorectal cancer. The regulatory network was built by the four target proteins participating in the biological process of drug metaboiism. That further explained the relationship between the four proteins and tanespimycin. Conclusion Tanespimycin may be the small molecule therapeutic compound that can inhibs eariy metastasis of colorectal cancer by interacting wth CHEK1, AURKA, GSTP1 and NQO1 to regulate the signaling network.
- Subjects
METASTASIS; COLON cancer diagnosis; BIOINFORMATICS; DRUG therapy; GENE expression; COMPARATIVE studies
- Publication
Journal of Xi'an Jiaotong University (Medical Sciences), 2013, Vol 34, Issue 6, p797
- ISSN
1671-8259
- Publication type
Article
- DOI
10.7652/jdyxb201306020