Department of Urology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518036, China.
The Guangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Institute of Urology of Shenzhen PKUHKUST Medical Center, Shenzhen, Guangdong 518036, China.
Cancer Biomark. 2019;24(2):153-158. doi: 10.3233/CBM-182047.
Renal cell carcinoma (RCC) is one of the most common genitourinary cancers, and advanced RCC usually leads to poor prognosis. Therefore, identifying novel biomarkers for predicting the progression and prognosis of RCC is essential. The present study aims to evaluate the clinical value of miR-183-5p in RCC development and prognosis after surgery.
We enrolled a total of 284 patients who received partial or radical nephrectomy from April 2003 to May 2013 at a single institution. The clinical and pathological characteristics of the patients were collected, including age, gender, tumor size, tumor stage, as well as follow-up information. The expression levels of miR-183-5p of all the patients were calculated from FFPE specimens. Cox regression analyses were performed to approve the effect of miR-183-5p expression on patient survival. Kaplan-Meier method was used to analyze the patient survival curves.
After controlling for gender, age, tumor size and tumor stage in the multivariate analysis, we found that high expression of miR-183-5p was independently associated lower overall survival (HR = 0.550, 95% CI = 0.364-0.832, p= 0.005). The Kaplan-Meier analysis also showed that patients with high expression of miR-183-5p had a significantly poor prognosis (p= 0.006). These results was verified by analyzing the data of 506 cases from The Cancer Genome Atlas database (TCGA).
Our results indicated that the high miR-183-5p expression is an independent factor for predicting RCC's worse prognosis.
肾细胞癌(RCC)是最常见的泌尿生殖系统癌症之一,晚期 RCC 通常导致预后不良。因此,鉴定预测 RCC 进展和预后的新型生物标志物至关重要。本研究旨在评估 miR-183-5p 在 RCC 手术后发展和预后中的临床价值。
我们共纳入了 284 例于 2003 年 4 月至 2013 年 5 月在单机构接受部分或根治性肾切除术的患者。收集了患者的临床和病理特征,包括年龄、性别、肿瘤大小、肿瘤分期以及随访信息。从 FFPE 标本中计算所有患者的 miR-183-5p 表达水平。进行 Cox 回归分析以证实 miR-183-5p 表达对患者生存的影响。采用 Kaplan-Meier 法分析患者生存曲线。
在多变量分析中控制性别、年龄、肿瘤大小和肿瘤分期后,我们发现 miR-183-5p 高表达与总生存率降低独立相关(HR = 0.550,95%CI = 0.364-0.832,p=0.005)。Kaplan-Meier 分析还表明,miR-183-5p 高表达的患者预后明显较差(p=0.006)。通过分析来自癌症基因组图谱数据库(TCGA)的 506 例数据,验证了这些结果。
我们的结果表明,miR-183-5p 高表达是预测 RCC 预后不良的独立因素。