Weighted gene co-expression network analysis of colorectal cancer liver metastasis genome sequencing data and screening of anti-metastasis drugs

  • Authors:
    • Bo Gao
    • Qin Shao
    • Hani Choudhry
    • Victoria Marcus
    • Kung Dong
    • Jiannis Ragoussis
    • Zu-Hua Gao
  • View Affiliations

  • Published online on: June 30, 2016     https://doi.org/10.3892/ijo.2016.3591
  • Pages: 1108-1118
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Approximately 9% of cancer-related deaths are caused by colorectal cancer (CRC). CRC patients are prone to liver metastasis, which is the most important cause for the high CRC mortality rate. Understanding the molecular mechanism of CRC liver metastasis could help us to find novel targets for the effective treatment of this deadly disease. Using weighted gene co-expression network analysis on the sequencing data of CRC with and with metastasis, we identified 5 colorectal cancer liver metastasis related modules which were labeled as brown, blue, grey, yellow and turquoise. In the brown module, which represents the metastatic tumor in the liver, gene ontology (GO) analysis revealed functions including the G-protein coupled receptor protein signaling pathway, epithelial cell differentiation and cell surface receptor linked signal transduction. In the blue module, which represents the primary CRC that has metastasized, GO analysis showed that the genes were mainly enriched in GO terms including G-protein coupled receptor protein signaling pathway, cell surface receptor linked signal transduction, and negative regulation of cell differentiation. In the yellow and turquoise modules, which represent the primary non-metastatic CRC, 13 downregulated CRC liver metastasis-related candidate miRNAs were identified (e.g. hsa-miR-204, hsa-miR-455, etc.). Furthermore, analyzing the DrugBank database and mining the literature identified 25 and 12 candidate drugs that could potentially block the metastatic processes of the primary tumor and inhibit the progression of metastatic tumors in the liver, respectively. Data generated from this study not only furthers our understanding of the genetic alterations that drive the metastatic process, but also guides the development of molecular-targeted therapy of colorectal cancer liver metastasis.
View Figures
View References

Related Articles

Journal Cover

September 2016
Volume 49 Issue 3

Print ISSN: 1019-6439
Online ISSN:1791-2423

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
APA
Gao, B., Shao, Q., Choudhry, H., Marcus, V., Dong, K., Ragoussis, J., & Gao, Z. (2016). Weighted gene co-expression network analysis of colorectal cancer liver metastasis genome sequencing data and screening of anti-metastasis drugs. International Journal of Oncology, 49, 1108-1118. https://doi.org/10.3892/ijo.2016.3591
MLA
Gao, B., Shao, Q., Choudhry, H., Marcus, V., Dong, K., Ragoussis, J., Gao, Z."Weighted gene co-expression network analysis of colorectal cancer liver metastasis genome sequencing data and screening of anti-metastasis drugs". International Journal of Oncology 49.3 (2016): 1108-1118.
Chicago
Gao, B., Shao, Q., Choudhry, H., Marcus, V., Dong, K., Ragoussis, J., Gao, Z."Weighted gene co-expression network analysis of colorectal cancer liver metastasis genome sequencing data and screening of anti-metastasis drugs". International Journal of Oncology 49, no. 3 (2016): 1108-1118. https://doi.org/10.3892/ijo.2016.3591