TY - JOUR A2 - Ding, Hui AU - Zhu, Rui AU - Guo, Wenna AU - Xu, Xin-Jian AU - Zhu, Liucun PY - 2020 DA - 2020/11/03 TI - An Integrating Immune-Related Signature to Improve Prognosis of Hepatocellular Carcinoma SP - 8872329 VL - 2020 AB - Growing evidence suggests that the superiority of long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) could act as biomarkers for cancer prognosis. However, the prognostic marker for hepatocellular carcinoma with high accuracy and sensitivity is still lacking. In this research, a retrospective, cohort-based study of genome-wide RNA-seq data of patients with hepatocellular carcinoma was carried out, and two protein-coding genes (GTPBP4, TREM-1) and one lncRNA (LINC00426) were sorted out to construct an integrative signature to predict the prognosis of patients. The results show that both the AUC and the C-index of this model perform well in TCGA validation dataset, cross-platform GEO validation dataset, and different subsets divided by gender, stage, and grade. The expression pattern and functional analysis show that all three genes contained in the model are associated with immune infiltration, cell proliferation, invasion, and metastasis, providing further confirmation of this model. In summary, the proposed model can effectively distinguish the high- and low-risk groups of hepatocellular carcinoma patients and is expected to shed light on the treatment of hepatocellular carcinoma and greatly improve the patients’ prognosis. SN - 1748-670X UR - https://doi.org/10.1155/2020/8872329 DO - 10.1155/2020/8872329 JF - Computational and Mathematical Methods in Medicine PB - Hindawi KW - ER -