Cancer Res Treat.  2009 Dec;41(4):218-223.

No Association of Vascular Endothelial Growth Factor-A (VEGF-A) and VEGF-C Expression with Survival in Patients with Gastric Cancer

• Lee SJ
• Kim JG
• Sohn SK
• Chae YS
• Moon JH
• Kim SN
• Bae HI
• Chung HY
• Yu W

Abstract

PURPOSE
Although the vascular endothelial growth factor (VEGF) superfamily has been identified to critically influence tumor-related angiogenesis, the prognostic significance of a VEGF expression in gastric cancer is still controversial. Accordingly, the present study analyzed the VEGF-A and VEGF-C expressions and their impact on the prognosis of patients with gastric cancer. MATERIALS AND METHODS: Three hundred seventy-five consecutive patients who underwent surgical resection for gastric adenocarcinoma with a curative intent were enrolled in the present study. Immunohistochemical staining for VEGF-A and VEGF-C was performed using the formalin fixed, paraffin embedded tumor tissues. RESULTS: Positive VEGF-A and VEGF-C expressions were observed in 337 (90.1%) and 278 (74.9%) cases, respectively. The survival analysis showed that the expression of VEGF-A and VEGF-C had no effect on the OS and DFS. On the multivariate analysis that included age, gender and the TNM stage, no significant association between the grade of the VEGF-A or VEGF-C expression and survival was observed. CONCLUSION: The current study suggests that the tissue expression of VEGF-A or VEGF-C alone is not an independent prognostic marker for patients with surgically resected gastric adenocarcinoma.

Keyword

Stomach neoplasms; VEGF-A; Prognosis

MeSH Terms

Adenocarcinoma
Formaldehyde
Humans
Multivariate Analysis
Paraffin
Prognosis
Stomach Neoplasms
Vascular Endothelial Growth Factor A
Vascular Endothelial Growth Factor C
Formaldehyde
Paraffin
Vascular Endothelial Growth Factor A
Vascular Endothelial Growth Factor C

Figure

• 

  Fig. 1 Survival curves according to VEGF-A or VECF-C protein expression in patients with surgically resected gastric cancer (All p-value are not significant in multivariate analysis).

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