Gene expression profile prospectively predicts peritoneal relapse after curative surgery of gastric cancer

Atsushi Takeno, Ichiro Takemasa, Shigeto Seno, Makoto Yamasaki, Masaaki Motoori, Hiroshi Miyata, Kiyokazu Nakajima, Shuji Takiguchi, Yoshiyuki Fujiwara, Toshiro Nishida, Toshitsugu Okayama, Kenichi Matsubara, Yoichi Takenaka, Hideo Matsuda, Morito Monden, Masaki Mori, Yuichiro Doki

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32 Citations (Scopus)

Abstract

Background: Peritoneal relapse is the most common pattern of tumor progression in advanced gastric cancer. Clinicopathological findings are sometimes inadequate for predicting peritoneal relapse. The aim of this study was to identify patients at high risk of peritoneal relapse in a prospective study based on molecular prediction. Methods: RNA samples from 141 primary gastric cancer tissues after curative surgery were profiled using oligonucleotide microarrays covering 30,000 human probes. Firstly, we constructed a molecular prediction system and validated its robustness and prognostic validity by 500 times multiple validation by repeated random sampling in a retrospective set of 56 (38 relapse-free and 18 peritoneal-relapse) patients. Secondly, we applied this prediction to 85 patients of the prospective set to assess predictive accuracy and prognostic validity. Results: In the retrospective phase, repeated random validation yielded ~68% predictive accuracy and a 22-gene expression profile associated with peritoneal relapse was identified. The prediction system identified patients with poor prognosis. In the prospective phase, the molecular prediction yielded 76.9% overall accuracy. Kaplan-Meier analysis of peritoneal-relapse-free survival showed a significant difference between the "good signature group" and "poor signature group" (log-rank p = 0.0017). Multivariate analysis by Cox regression hazards model identified the molecular prediction as the only independent prognostic factor for peritoneal relapse. Conclusions: Gene expression profile inherent to primary gastric cancer tissues can be useful in prospective prediction of peritoneal relapse after curative surgery, potentially allowing individualized postoperative management to improve the prognosis of patients with advanced gastric cancer.

Original languageEnglish
Pages (from-to)1033-1042
Number of pages10
JournalAnnals of Surgical Oncology
Volume17
Issue number4
DOIs
Publication statusPublished - Apr 1 2010
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Surgery
  • Oncology

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    Takeno, A., Takemasa, I., Seno, S., Yamasaki, M., Motoori, M., Miyata, H., Nakajima, K., Takiguchi, S., Fujiwara, Y., Nishida, T., Okayama, T., Matsubara, K., Takenaka, Y., Matsuda, H., Monden, M., Mori, M., & Doki, Y. (2010). Gene expression profile prospectively predicts peritoneal relapse after curative surgery of gastric cancer. Annals of Surgical Oncology, 17(4), 1033-1042. https://doi.org/10.1245/s10434-009-0854-1