title: A microRNA-based prediction model for lymph node metastasis in hepatocellular carcinoma.
abstract: 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.
authors.affiliation: Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Li
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Zuo-Lin
authors.initials: ZL
authors.lastname: Xiang
authors.affiliation: Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Zhao-Chong
authors.initials: ZC
authors.lastname: Zeng
authors.affiliation: Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Jia
authors.initials: J
authors.lastname: Fan
authors.affiliation: Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Zhao-You
authors.initials: ZY
authors.lastname: Tang
authors.affiliation: Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Xiao-Mei
authors.initials: XM
authors.lastname: Zhao
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D006528:Carcinoma, Hepatocellular / Q000235:genetics / Q000556:secondary* / Q000628:therapy; D003131:Combined Modality Therapy; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D017403:In Situ Hybridization; D008113:Liver Neoplasms / Q000235:genetics / Q000473:pathology* / Q000628:therapy; D008207:Lymphatic Metastasis; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D008875:Middle Aged; D015233:Models, Statistical; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D011379:Prognosis; D012333:RNA, Messenger / Q000235:genetics; D060888:Real-Time Polymerase Chain Reaction; D012189:Retrospective Studies; D020133:Reverse Transcriptase Polymerase Chain Reaction; D046888:Tissue Array Analysis
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs; D012333:RNA, Messenger
keywords: hepatocellular carcinoma; in situ hybridization; lymph node metastasis; microRNA; prediction model