A tumor-specific microRNA signature predicts survival in clear cell renal cell carcinoma

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• 作者：Yu-Zheng Ge ; Ran Wu ; Hui Xin ; Meng Zhu…
• 关键词：microRNA ; Biomarker ; Clear cell renal cell carcinoma ; Prognosis
• 刊名：Journal of Cancer Research and Clinical Oncology
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：141
• 期：7
• 页码：1291-1299
• 全文大小：2,141 KB
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• 作者单位：Yu-Zheng Ge (1)
  Ran Wu (1)
  Hui Xin (1)
  Meng Zhu (2)
  Tian-Ze Lu (1)
  Hao Liu (3)
  Zheng Xu (1)
  Peng Yu (4)
  You-Cai Zhao (5)
  Ming-Hao Li (1) (5)
  Zhi-Kai Hu (1)
  Yan Zhao (6)
  Bing Zhong (7)
  Xiao Xu (8)
  Liu-Hua Zhou (1)
  Lu-Wei Xu (1)
  Jian-Ping Wu (1)
  Wen-Cheng Li (1)
  Jia-Geng Zhu (1)
  Rui-Peng Jia (1)
  
  1. Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China
  2. Department of Epidemiology and Biostatistics, Ministry of Education (MOE) Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, China
  3. Department of Urology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China
  4. Department of Urology, The First Hospital of Nanchang, Nanchang University, 128 Xiangshan North Road, Nanchang, 330008, China
  5. Department of Pathology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China
  6. Department of Urology, Xuzhou Third People’s Hospital, Jiangsu University, 131 Huancheng Road, Xuzhou, 221005, China
  7. Department of Urology, Huaian First People’s Hospital, Nanjing Medical University, 6 Beijing West Road, Huaian, 223300, China
  8. Department of Radiation Oncology, JiangSu Armed Police General Hospital, 8 Jiangdu South Road, Yangzhou, 225003, China
  
• 刊物类别：Medicine
• 刊物主题：Medicine & Public Health
  Oncology
  Cancer Research
  Internal Medicine
  Hematology
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1335

文摘

Purpose Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancers in adults, and microRNAs (miRNAs) differentially expressed in ccRCC tumors have been identified and proposed to predict prognosis. In the present study, we comprehensively analyzed the genome-wide miRNA expression profiles in ccRCC, with the aim to generate a tumor-specific miRNA signature of prognostic values. Methods The miRNA profiles in tumor and the adjacent normal tissue were analyzed, and the association of the differentially expressed miRNAs with patient survival was examined with univariate Cox regression analysis. Finally, a tumor-specific miRNA signature was generated and examined with Kaplan–Meier survival, univariate, and multivariate Cox regression analyses. Results A total of 147 miRNAs were found differentially expressed between tumor and matched non-tumor tissues from 58 ccRCC patients. The prognostic values of these differentially expressed miRNAs were subsequently analyzed in the 411 ccRCC patients, and 22 miRNAs were found significantly correlated with patient survival. Finally, a tumor-specific miRNA signature of 22 miRNAs was generated and validated as an independent prognostic parameter. Conclusions A tumor-specific miRNA signature consisting of 22 miRNAs was identified and validated as an independent prognostic factor, which could serve as a novel biomarker for ccRCC prognostication and help in predicting treatment outcome.