دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: A microRNA-based prediction model for lymph node metastasis in hepatocellular carcinoma.
المؤلفون: Zhang L; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China., Xiang ZL; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China., Zeng ZC; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China., Fan J; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China., Tang ZY; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China., Zhao XM; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
المصدر: Oncotarget [Oncotarget] 2016 Jan 19; Vol. 7 (3), pp. 3587-98.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Impact Journals Country of Publication: United States NLM ID: 101532965 Publication Model: Print Cited Medium: Internet ISSN: 1949-2553 (Electronic) Linking ISSN: 19492553 NLM ISO Abbreviation: Oncotarget Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Albany, N.Y. : Impact Journals
مواضيع طبية MeSH: Models, Statistical*, Biomarkers, Tumor/*genetics , Carcinoma, Hepatocellular/*secondary , Liver Neoplasms/*pathology , MicroRNAs/*genetics, Carcinoma, Hepatocellular/genetics ; Carcinoma, Hepatocellular/therapy ; Combined Modality Therapy ; Female ; Follow-Up Studies ; Humans ; In Situ Hybridization ; Liver Neoplasms/genetics ; Liver Neoplasms/therapy ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Invasiveness ; Neoplasm Staging ; Prognosis ; RNA, Messenger/genetics ; Real-Time Polymerase Chain Reaction ; Retrospective Studies ; Reverse Transcriptase Polymerase Chain Reaction ; Tissue Array Analysis
مستخلص: 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.
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فهرسة مساهمة: Keywords: hepatocellular carcinoma; in situ hybridization; lymph node metastasis; microRNA; prediction model
المشرفين على المادة: 0 (Biomarkers, Tumor)
0 (MicroRNAs)
0 (RNA, Messenger)
تواريخ الأحداث: Date Created: 20151215 Date Completed: 20161213 Latest Revision: 20220318
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC4823129
DOI: 10.18632/oncotarget.6534
PMID: 26657296
قاعدة البيانات: MEDLINE
الوصف
تدمد:1949-2553
DOI:10.18632/oncotarget.6534