Identification of genes related to a synergistic effect of taxane and suberoylanilide hydroxamic acid combination treatment in gastric cancer cells

Hyun Chang, Sun Young Rha, Hei Cheul Jeung, Jae Jun Jung, Tae Soo Kim, Ho Jeong Kwon, Byung Soo Kim, Hyun Cheol Chung

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Purpose: We evaluated the cytotoxic effects of combining suberoylanilide hydroxamic acid (SAHA), a histone deacetylase inhibitor, with taxanes in human gastric cancer cell lines and assessed the pre-treatment difference of gene expression to identify genes that could potentially mediate the cytotoxic response. Methods: Gastric cancer cell lines were treated with SAHA and paclitaxel or docetaxel, and the synergistic interaction between the drugs was evaluated in vitro using the combination index (CI) method. We performed significance analysis of microarray (SAM) to identify chemosensitivity-related genes in gastric cancer cell lines that were concomitantly treated with SAHA and taxane. We generated a correlation matrix between gene expression and CI values to identify genes whose expression correlated with a combined effect of taxanes and SAHA. Results: Combination treatment with taxane and SAHA had a synergistic cytotoxic effect against taxane-resistant gastric cancer cells. We identified 49 chemosensitivity-related genes via SAM analysis. Among them, nine common genes (SLIT2, REEP2, EFEMP2, CDC42SE1, FSD1, POU1F1, ZNF79, ETNK1, and DOCK5) were extracted from the subsequent correlation matrix analysis. Conclusions: The combination of taxane and SAHA could be efficacious for the treatment of gastric cancer. The genes that were related to the synergistic response to taxane and SAHA could serve as surrogate biomarkers to predict the therapeutic response in gastric cancer patients.

Original languageEnglish
Pages (from-to)1901-1913
Number of pages13
JournalJournal of cancer research and clinical oncology
Volume136
Issue number12
DOIs
Publication statusPublished - 2010 Dec

Bibliographical note

Funding Information:
Acknowledgments This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (R11-2000-082-03002-0)

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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