15-lncRNA-Based Classifier-Clinicopathologic Nomogram Improves the Prediction of Recurrence in Patients with Hepatocellular Carcinoma
Background. Our study aims to develop a lncRNA-based classifier and a nomogram incorporating the genomic signature and clinicopathologic factors to help to improve the accuracy of recurrence prediction for hepatocellular carcinoma (HCC) patients. Methods. The lncRNA profiling data of 374 HCC patient...
Main Authors: | Qiong Zhang, Gang Ning, Hongye Jiang, Yanlin Huang, Jinsong Piao, Zhen Chen, Xiaojun Tan, Jiangyu Zhang, Genglong Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Disease Markers |
Online Access: | http://dx.doi.org/10.1155/2020/9180732 |
Similar Items
-
A Genomic-Clinicopathologic Nomogram Predicts Survival for Patients with Laryngeal Squamous Cell Carcinoma
by: Jie Cui, et al.
Published: (2019-01-01) -
Prediction of plant lncRNA by ensemble machine learning classifiers
by: Caitlin M. A. Simopoulos, et al.
Published: (2018-05-01) -
A genomic-clinicopathologic nomogram for predicting overall survival of hepatocellular carcinoma
by: Kena Zhou, et al.
Published: (2020-12-01) -
LncRNA PTCSC3 Alleviates the Postoperative Distant Recurrence of Gastric Cancer by Suppression of lncRNA HOXA11-AS
by: Xu J, et al.
Published: (2020-04-01) -
Integrative analysis of dysregulated lncRNA-associated ceRNA network reveals potential lncRNA biomarkers for human hepatocellular carcinoma
by: Chengyun Li, et al.
Published: (2020-03-01)