COX-2、p16(INK4A)、p53蛋白在经典型霍奇金淋巴瘤患者中的表达及其预后相关分析

OBJECTIVE: To investigate the expression level of COX-2, p16(INK4A) and p53 in patients with classic Hodgkin's lymphoma (cHL), and to evaluate their correlation with prognosis. METHODS: The clinical data and samples of 52 cHL cases were collected. Immunohistochemical staining was performed to analyze the proteins level mentioned above and in situ hybridization of EBV encoded RNA (EBER) to clarify the tumor EBV infection state. Correlation between the protein expression and prognosis of patients was analyzed. RESULTS: Of 52 cases, the male and female ratio was 1.6∶1, the age was from 22 to 68 years old. All lesions located primarily in lymph nodes. All samples from 52 cases were stained with COX-2, p16(INK4A) and p53, and the positive expression of COX-2 was found in 28 cases (53.8%), that of p16(INK4A) in 25 cases (48.1%) and p53 in 42 cases (80.8%). All patients were divided into two groups according to differences in age (<40 years/≥40years), gender(male/female), EBV infection (yes/no), B symptoms (yes/no), and the Ann Arbor staging (Ⅰ–Ⅱ/Ⅲ–Ⅳ), the correlation with COX-2, p16(INK4A) and p53 expression were analyzed, and only p53 expression was correlated with Ann Arbor staging (P=0.027). The statistical analysis of correlations between COX-2, p16(INK4A) and p53 showed that the expression of COX-2 was strongly correlated with p53 (P=0.008), and p16(INK4A) was not related to either COX-2 or p53 (P=0.246 and 0.958). Kaplan-Meier univariate OS analysis using SPSS17.0 software showed that only COX-2 expression was an adverse prognostic factor for patients' event free survival (EFS) (P=0.003). Meanwhile COX-2 expression was a unique independent prognostic factor analyzed by COX proportional hazards regression model (HR=0.091, 95% CI 0.017–0.505, P=0.006). CONCLUSION: The expression rate of COX-2, p16(INK4A) and p53 in the cHL were relatively high; and they were not statistically correlated with tumor EBV infection status; the COX-2 positive group had poor prognosis, but only event free survival time becomes statistically significant shorter. COX proportional hazard regression model was used to analyze the COX-2 expression as a independent adverse prognostic factors for EFS.