title: Plasma microRNA panel to diagnose hepatitis B virus-related hepatocellular carcinoma.
abstract: OBJECTIVE
  More than 60% of patients with hepatocellular carcinoma (HCC) do not receive curative therapy as a result of late clinical presentation and diagnosis. We aimed to identify plasma microRNAs for diagnosing hepatitis B virus (HBV) -related HCC.
  
  
  METHODS
  Plasma microRNA expression was investigated with three independent cohorts including 934 participants (healthy, chronic hepatitis B, cirrhosis, and HBV-related HCC), recruited between August 2008 and June 2010. First, we used microarray to screen 723 microRNAs in 137 plasma samples for diagnosing HCC. Quantitative reverse-transcriptase polymerase chain reaction assay was then applied to evaluate the expression of selected microRNAs. A logistic regression model was constructed using a training cohort (n = 407) and then validated using an independent cohort (n = 390). Area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy.
  
  
  RESULTS
  We identified a microRNA panel (miR-122, miR-192, miR-21, miR-223, miR-26a, miR-27a and miR-801) that provided a high diagnostic accuracy of HCC (AUC = 0.864 and 0.888 for training and validation data set, respectively). The satisfactory diagnostic performance of the microRNA panel persisted regardless of disease status (AUCs for Barcelona Clinic Liver Cancer stages 0, A, B, and C were 0.888, 0.888, 0.901, and 0.881, respectively). The microRNA panel can also differentiate HCC from healthy (AUC = 0.941), chronic hepatitis B (AUC = 0.842), and cirrhosis (AUC = 0.884), respectively.
  
  
  CONCLUSIONS
  We found a plasma microRNA panel that has considerable clinical value in diagnosing early-stage HCC. Thus, patients who would have otherwise missed the curative treatment window can benefit from optimal therapy.
authors: Liver Cancer Institute, Zhongshan Hospital, Fudan University, People's Republic of China.
authors: Jian
authors: J
authors: Zhou
authors: Lei
authors: L
authors: Yu
authors: Xue
authors: X
authors: Gao
authors: Jie
authors: J
authors: Hu
authors: Jiping
authors: J
authors: Wang
authors: Zhi
authors: Z
authors: Dai
authors: Jie-Fei
authors: JF
authors: Wang
authors: Zhiyong
authors: Z
authors: Zhang
authors: Shaohua
authors: S
authors: Lu
authors: Xiaowu
authors: X
authors: Huang
authors: Zheng
authors: Z
authors: Wang
authors: Shuangjian
authors: S
authors: Qiu
authors: Xiaoying
authors: X
authors: Wang
authors: Guohuan
authors: G
authors: Yang
authors: Huichuan
authors: H
authors: Sun
authors: Zhaoyou
authors: Z
authors: Tang
authors: Ying
authors: Y
authors: Wu
authors: Hongguang
authors: H
authors: Zhu
authors: Jia
authors: J
authors: Fan
mesh_terms: D000328:Adult; D006528:Carcinoma, Hepatocellular / Q000097:blood / Q000175:diagnosis*; D055088:Early Detection of Cancer; D005260:Female; D020869:Gene Expression Profiling; D019694:Hepatitis B, Chronic / Q000150:complications*; D006801:Humans; D008113:Liver Neoplasms / Q000097:blood / Q000175:diagnosis*; D008297:Male; D035683:MicroRNAs / Q000097:blood*; D008875:Middle Aged; D012372:ROC Curve
chemical_list: D035683:MicroRNAs