The prognostic significance of apoptosis-related biological markers in chinese gastric cancer patients

Abstract

Background and Objective: The prognosis varied among the patients with the same stage, therefore there was a need for new prognostic and predictive factors. The aim of this study was to evaluate the relationship of apoptosis-related biological markers such as p53, bcl-2, bax, and c-myc, and clinicopathological features and their prognostic value. Methods: From 1996 to 2007, 4426 patients had undergone curative D2 gastrectomy for gastric cancer at Fudan University Shanghai Cancer Center. Among 501 patients, the expression levels of p53, bcl-2, bax, and c-myc were examined by immunohistochemistry. The prognostic value of biological markers and the correlation between biological markers and other clinicopathological factors were investigated. Results: There were 339 males and 162 females with a mean age of 57. The percentages of positive expression of p53, bcl-2, bax, and c-myc were 65%, 22%, 43%, and 58%, respectively. There was a strong correlation between p53, bax, and c-myc expression (P = 0.00). There was significant association between bcl-2, and bax expression (P&0.05). p53 expression correlated with histological grade (P = 0.01); bcl-2 expression with pathological stage (P = 0.00); bax expression with male (P = 0.02), histological grade (P = 0.01), Borrmann type (P = 0.01), tumor location (P = 0.00), lymph node metastasis (P = 0.03), and pathological stage (P = 0.03); c-myc expression with Borrmann type (P = 0.00). bcl-2 expression was related with good survival in univariate analysis (P = 0.01). Multivariate analysis showed that bcl-2 expression and pathological stage were defined as independent prognostic factors. There were significant differences of overall 5-year survival rates according to bcl-2 expression or not in stage IIB (P = 0.03). Conclusion: The expression of bcl-2 was an independent prognostic factor for patients with gastric cancer; it might be a candidate for the gastric cancer staging system. © 2011 Liu et al.