A microRNA-based prediction model for lymph node metastasis in hepatocellular carcinoma

作者：Zhang, Li; Xiang, Zuo-Lin^*; Zeng, Zhao-Chong^*; Fan, Jia; Tang, Zhao-You; Zhao, Xiao-Mei

来源：Oncotarget, 2016, 7(3): 3587-3598.

DOI：10.18632/oncotarget.6534

• hepatocellular carcinoma
• lymph node metastasis
• microRNA
• prediction model
• in situ hybridization

We developed an efficient microRNA (miRNA) model that could predict the risk of lymph node metastasis (LNM) in hepatocellular carcinoma (HCC). We first evaluated a training cohort of 192 HCC patients after hepatectomy and found five LNM associated predictive factors: vascular invasion, Barcelona Clinic Liver Cancer stage, miR-145, miR-31, and miR-92a. The five statistically independent factors were used to develop a predictive model. The predictive value of the miRNA-based model was confirmed in a validation cohort of 209 consecutive HCC patients. The prediction model was scored for LNM risk from 0 to 8. The cutoff value 4 was used to distinguish high-risk and low-risk groups. The model sensitivity and specificity was 69.6 and 80.2 %, respectively, during 5 years in the validation cohort. And the area under the curve (AUC) for the miRNA-based prognostic model was 0.860. The 5-year positive and negative predictive values of the model in the validation cohort were 30.3 and 95.5 %, respectively. Cox regression analysis revealed that the LNM hazard ratio of the high-risk versus low-risk groups was 11.751 (95 % CI, 5.110-27.021; P < 0.001) in the validation cohort. In conclusion, the miRNA-based model is reliable and accurate for the early prediction of LNM in patients with HCC.

• 出版日期2016-1-19
• 单位复旦大学