Expression and Prognostic Significance of p53 in Glioma Patients: A Meta-analysis
Expression and Prognostic Significance of p53 in Glioma Patients: A Meta-analysis
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DOI：
10.1007/s11064-016-1888-y
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发表时间：
2016-07-01
影响因子：
4.4
通讯作者：
Dai, Zhensheng
中科院分区：
文献类型：
--
作者：
Jin, Yueling;Xiao, Weizhong;Dai, Zhensheng
神经胶质瘤是一种源自肿瘤性神经胶质细胞或神经胶质的脑肿瘤。由于其对抗癌药物的耐药性和个体疾病进展的不同，高级别胶质瘤患者难以完全治愈，导致预后差，总生存率低。因此，迫切需要寻找能够预测胶质瘤分级的预后和诊断指标。P53是目前研究较多的胶质瘤生物标志物之一。本研究的目的是综合评价p53表达在胶质瘤分级和总生存期中的意义。检索常用电子数据库中有关胶质瘤p53表达的文献。最终共筛选出21项研究，包括1322例胶质瘤患者。高级别胶质瘤p53蛋白阳性率（63.8%）明显高于低级别胶质瘤（41.6%），统计学分析表明p53蛋白表达与胶质瘤病理分级有关（OR 2.93，95%CI 1.87-4.60，P < 0.00001）。在1年、3年和5年总生存率中也发现了这种显著的校正。而年龄、性别、肿瘤大小与p53表达无明显相关性。结论：p53免疫组化表达对胶质瘤患者的预后有一定的预测价值。
Glioma is a brain tumor deriving from the neoplastic glial cells or neuroglia. Due to its resistance to anticancer drugs and different disease progress of individuals, patients with high-grade glioma are difficult to completely cure, leading to a poor prognosis and low overall survival. Therefore, there is an urgent need to look for prognostic and diagnostic indicators that can predict glioma grades. P53 is one of the widely studied biomarkers in human glioma. The purpose of this study was to comprehensively evaluate the significance of p53 expression in glioma grades and overall survival. We searched commonly used electronic databases to retrieve related articles of p53 expression in glioma. Overall, a total of 21 studies including 1322 glioma patients were finally screened out. We observed that the frequency of p53 immuno-positivity was higher in high-grade patients than that in low-grade category (63.8 vs. 41.6 %), and our statistic analysis indicated that p53 expression was associated with pathological grade of glioma (OR 2.93, 95 % CI 1.87-4.60, P < 0.00001). This significant correction was also found in 1-, 3- and 5-year overall survival. However, no positive relationship was found between age, sex, tumor size and p53 expression in patients with glioma. In conclusion, our results suggested that p53 immunohistochemical expression might have an effective usefulness in predicting the prognosis in patients with glioma.