High levels of DEPDC1B predict shorter biochemical recurrence-free survival of patients with prostate cancer
High levels of DEPDC1B predict shorter biochemical recurrence-free survival of patients with prostate cancer
复制标题
高水平的 DEPDC1B 预测前列腺癌患者的生化无复发生存期较短
DOI：
10.3892/ol.2017.7027
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发表时间：
2017-12-01
期刊：
影响因子：
2.9
通讯作者：
Huang, Hai
中科院分区：
文献类型：
--
作者：
Bai, Shoumin;Chen, Ting;Huang, Hai
DEP结构域蛋白1B（DEPDC 1B）在乳腺癌和非小细胞肺癌中发挥重要作用。然而，其参与前列腺癌（PCa）的发展仍不清楚。因此，本研究旨在探讨DEPDC 1B在PCa患者肿瘤组织中的表达及其临床意义。共收集80个前列腺组织样本后，前列腺切除术，以产生一个组织芯片的DEPDC 1B蛋白表达的免疫组化分析。Taylor数据集中包括来自179个前列腺组织样本的mRNA的高通量测序，这些样本来自PCa患者或健康对照。DEPDC 1B在PCa患者肿瘤组织中的表达水平显著高于正常前列腺组织（P=0.039）。DEPDC 1B的表达与临床分期（P=0.006）、T分期（P=0.012）和淋巴结转移（P=0.004）密切相关。Kaplan-Meier分析表明，DEPDC 1B mRNA水平高的患者的无生化复发（BCR）生存时间显著缩短。采用考克斯比例风险模型进行多因素分析，结果显示DEPDC 1B mRNA水平是PCa患者无BCR生存时间的独立预测因素。因此，DEPDC 1B的表达可作为PCa患者生化无复发生存时间的独立预测因子。
DEP domain-containing protein 1B (DEPDC1B) has been reported to serve important functions in breast cancer and non-small cell lung cancer. However, its involvement in the development of prostate cancer (PCa) remains unclear. Therefore, the present study aimed to investigate the expression and clinical significance of DEPDC1B in tumor tissues from patients diagnosed with PCa. A total of 80 prostate tissue samples were collected following prostatectomy to generate a tissue microarray for immunohistochemical analysis of DEPDC1B protein expression. High throughput sequencing of mRNAs from 179 prostate tissue samples, either from patients with PCa or from healthy controls, was included in the Taylor dataset. The expression levels of DEPDC1B in tumor tissues from patients with PCa were revealed to be significantly increased compared with those in normal prostate tissues (P=0.039). Increased expression of DEPDC1B was significantly associated with advanced clinical stage (P=0.006), advanced T stage (P=0.012) and lymph node metastasis (P=0.004). Kaplan-Meier analysis demonstrated that patients with high levels of DEPDC1B mRNA had significantly shorter biochemical recurrence (BCR)-free survival times. Multivariate analysis using Cox proportional hazards model revealed that levels of DEPDC1B mRNA were significant independent predictors of BCR-free survival time of patients with PCa. Therefore, the expression of DEPDC1B may be used as an independent predictor of biochemical recurrence-free survival time of patients with PCa.