Clinical significance of increased guanine nucleotide exchange factor Vav3 expression in human gastric cancer

Kai Yuan Lin, Lu Hai Wang, You Cheng Hseu, Chia Lang Fang, Hsin Ling Yang, K. J Senthil Kumar, Chein Tai, Yih Huei Uen

研究成果: 雜誌貢獻文章

24 引文 斯高帕斯(Scopus)

摘要

Although gastric cancer is one of the most common malignancies worldwide, little is known on the molecular process of its development and progression. This study investigates the involvement of guanine nucleotide exchange factor Vav3 in tumor progression and in the prognosis of human gastric cancer. The two patient cohorts in this study consisted of 167 gastric cancer cases from 1997 through 2001, documenting pathologic and clinical factors, as well as the clinical outcomes. Immunohistochemistry, reverse transcription PCR, immunoblotting, and immunofluorescence were used to examine Vav3 expression in tumor and nontumor pairs of gastric tissues and gastric cell lines. Small hairpin RNA (shRNA) technology was used to study the effects of Vav3 knockdown on the growth and spread of gastric cancer cells. Finally, xenograph proliferation was used to study the tumor growth. Overexpression of Vav3 was associated with the depth of invasion (P=0.0004), nodal status (P=0.0260), distant metastasis (P=0.0003), stage (P=0.0002), and vascular invasion (P=0.0286); and correlated with poor disease-free survival (P <0.0001). Multivariate Cox regression analysis shows that overexpression of Vav3 is an independent prognostic marker for gastric cancer (P=0.033). Disrupting the expression of Vav3 using shRNA technology inhibited gastric cancer cell growth, spread, and xenograph proliferation. This study suggests that overexpression of Vav3 can be a useful marker for predicting the outcome of patients with gastric cancer and that Vav3 targeting can represent a potential modality for treating gastric cancer.

原文英語
頁(從 - 到)750-759
頁數10
期刊Molecular Cancer Research
10
發行號6
DOIs
出版狀態已發佈 - 六月 2012

ASJC Scopus subject areas

  • Molecular Biology
  • Cancer Research
  • Oncology

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