Genome-scale analysis of resveratrol-induced gene expression profile in human ovarian cancer cells using a cDNA microarray.

Sang Hwa Yang, Jong Sik Kim, Tae Jeong Oh, Myung Soon Kim, Sun Woo Lee, Suk Kyung Woo, Hyun Sill Cho, Yung Hyun Choi, Young Ho Kim, Sun Young Rha, Hyun Cheol Chung, Sung Whan An

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Abstract

Resveratrol (3,5,4'-trihydroxy-trans-stilbene) is a natural compound found in large quantities, most notably in grapes and red wine, which has been shown to have anti-inflammatory, chemopreventive and anti-angiogenic effects. We examined whether resveratrol has any effect on growth and gene expression in the human ovarian cancer PA-1 cells. We show that resveratrol inhibits cell growth and induces apoptosis in PA-1 human ovarian cancer cells. We also investigated the effect of resveratrol on changes of global gene expression during resveratrol-induced growth inhibition and apoptosis in PA-1 cells using a human cDNA microarray with 7,448 sequence-verified clones. Out of the 7,448 genes screened, 118 genes were founded to be affected in their expression levels by more than 2-fold after 24-h treatment with 50 micro M resveratrol. Resveratrol treatment of PA-1 cells at the final concentration of 50 micro M for 6, 12, 24 and 48 h and gene expression patterns were analyzed by microarray. Clustering of the genes modulated more than 2-fold at three of the above times points divided the genes into 2 groups. Within these groups, there were specific subgroups of genes whose expressions were substantially changed at the specified time points. One of the most highly up-regulated genes found in this study was NAD(P)H quinone oxidoreductase 1(NQO-1), which has recently been shown to be involved in p53 regulation. Although the precise roles of genes whose expression levels were found to fluctuate after resveratrol treatment remain to be elucidated, we hope that the new view of gene expression in human ovarian cancer cells following resveratrol exposure, as offered by this study, provides clues for the mechanism of resveratrol action.

Original languageEnglish
Pages (from-to)741-750
Number of pages10
JournalInternational journal of oncology
Volume22
Issue number4
DOIs
Publication statusPublished - 2003 Apr

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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    Yang, S. H., Kim, J. S., Oh, T. J., Kim, M. S., Lee, S. W., Woo, S. K., Cho, H. S., Choi, Y. H., Kim, Y. H., Rha, S. Y., Chung, H. C., & An, S. W. (2003). Genome-scale analysis of resveratrol-induced gene expression profile in human ovarian cancer cells using a cDNA microarray. International journal of oncology, 22(4), 741-750. https://doi.org/10.3892/ijo.22.4.741