Combination of microarray profiling and protein-protein interaction databases delineates the minimal discriminators as a metastasis network for esophageal squamous cell carcinoma

  • Authors:
    • Fen-Hwa Wong
    • Chi-Ying F. Huang
    • Li-Jen Su
    • Yu-Chung Wu
    • Yong-Shiang Lin
    • Jiun-Yi Hsia
    • Hsin-Ting Tsai
    • Sheng-An Lee
    • Chi-Hung Lin
    • Cheng-Hwai Tzeng
    • Po-Min Chen
    • Yann-Jan Chen
    • Shu-Ching Liang
    • Jin-Mei Lai
    • Chueh-Chuan Yen
  • View Affiliations

  • Published online on: January 1, 2009     https://doi.org/10.3892/ijo_00000135
  • Pages: 117-128
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Microarray profiling of 15 adjacent normal/tumor-matched esophageal squamous cell carcinoma (ESCC) specimens identified 40 up-regulated and 95 down-regulated genes. Verification of the microarray measurement by quantitative real-time reverse transcription PCR in the same set of samples as well as an additional 15 normal/tumor-matched samples revealed __AMB__gt95% consistency. These signatures can also be used to classify a recently reported ESCC microarray dataset. Moreover, these molecular signatures were used as templates to elucidate their corresponding protein-protein interaction (PPI) networks using the PPI databases, POINT and POINeT. As a result, 18 genes, of which six were not disclosed in the initial expression profile analysis, were found to be able to serve as the minimal discriminators for distinguishing ESCC tumors from normal specimens. Of these discriminators, ten (BGN, COL1A1, COL1A2, MMP9, CD44, FN1, TGFBI, PXN, SPARC and VWF) were associated with tumor metastasis and formed a highly interactive network with the first four molecules as ‘hubs’. Our study not only reveals how novel insights can be obtained from gene expression profiling, but also highlights a group of highly interacting genes associated with metastasis in ESCC.

Related Articles

Journal Cover

January 2009
Volume 34 Issue 1

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

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Wong F, Huang CF, Su L, Wu Y, Lin Y, Hsia J, Tsai H, Lee S, Lin C, Tzeng C, Tzeng C, et al: Combination of microarray profiling and protein-protein interaction databases delineates the minimal discriminators as a metastasis network for esophageal squamous cell carcinoma. Int J Oncol 34: 117-128, 2009.
APA
Wong, F., Huang, C.F., Su, L., Wu, Y., Lin, Y., Hsia, J. ... Yen, C. (2009). Combination of microarray profiling and protein-protein interaction databases delineates the minimal discriminators as a metastasis network for esophageal squamous cell carcinoma. International Journal of Oncology, 34, 117-128. https://doi.org/10.3892/ijo_00000135
MLA
Wong, F., Huang, C. F., Su, L., Wu, Y., Lin, Y., Hsia, J., Tsai, H., Lee, S., Lin, C., Tzeng, C., Chen, P., Chen, Y., Liang, S., Lai, J., Yen, C."Combination of microarray profiling and protein-protein interaction databases delineates the minimal discriminators as a metastasis network for esophageal squamous cell carcinoma". International Journal of Oncology 34.1 (2009): 117-128.
Chicago
Wong, F., Huang, C. F., Su, L., Wu, Y., Lin, Y., Hsia, J., Tsai, H., Lee, S., Lin, C., Tzeng, C., Chen, P., Chen, Y., Liang, S., Lai, J., Yen, C."Combination of microarray profiling and protein-protein interaction databases delineates the minimal discriminators as a metastasis network for esophageal squamous cell carcinoma". International Journal of Oncology 34, no. 1 (2009): 117-128. https://doi.org/10.3892/ijo_00000135