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Systems biology approach to identification of biomarkers for metastatic progression in gastric cancer

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Abstract

Purpose

Gastric cancer is usually diagnosed at later stages (stages III and IV) in China, and the overall 5-year survival rate is low at 40%. Metastases are responsible for the majority of cancer fatalities. The molecular mechanisms governing metastasis are poorly understood.

Methods

We have analyzed gene expression data based on gene interaction networks and molecular pathways rather than separate genes utilizing hierarchical cluster analysis, Gene ontology analysis and pathway analysis.

Results

We have analyzed gene expression data from advanced gastric cancer tissues, corresponding adjacent noncancerous gastric tissues and its peritonium metastasis. Our studies indicated that metastatic tumor was related to changes in apoptosis pathway and proteasome degradation pathway, TRAF2 and IRF3 are up-regulated in apoptosis pathway, NEDD4 and UBE1 are up-regulated in proteasome degradation pathway.

Conclusion

The advent of high-throughput investigation of gene using Microarray technology, a systems approach relying on groups of interacting genes is essential for understanding the processes of cancer. We have identified apoptosis pathway and proteasome degradation pathway associated with metastasis.

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Acknowledgments

This work was supported by a grant from Zhejiang Provincial Department of Science and Technology Research Foundation (No. 2008C33040).

Conflict of interest statement

No conflict of interest exits in the submission of this manuscript.

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Authors and Affiliations

  1. Department of Surgery, Zhejiang Provincial People’s Hospital, 310014, Hangzhou, Zhejiang, People’s Republic of China

    Yuan-Yu Wang, Zai-Yuan Ye, Hou-Quan Tao & Shu-Guang Li

  2. Department of Pathology, Zhejiang Provincial People’s Hospital, 310014, Hangzhou, Zhejiang, People’s Republic of China

    Zhong-Sheng Zhao

  3. Wenzhou Medical College, 325035, Wenzhou, Zhejiang, People’s Republic of China

    Yuan-Yu Wang

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  1. Yuan-Yu Wang
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  2. Zai-Yuan Ye
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  3. Zhong-Sheng Zhao
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  5. Shu-Guang Li
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Corresponding author

Correspondence to Zhong-Sheng Zhao.

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Wang, YY., Ye, ZY., Zhao, ZS. et al. Systems biology approach to identification of biomarkers for metastatic progression in gastric cancer. J Cancer Res Clin Oncol 136, 135–141 (2010). https://doi.org/10.1007/s00432-009-0644-y

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  • DOI: https://doi.org/10.1007/s00432-009-0644-y

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