A 4‐gene prognostic signature predicting survival in hepatocellular carcinoma

Abstract

Objective: To develop an independent prognostic signature for patients with hepatocellular carcinoma (HCC).Methods: HCC gene expression profile the cancer genome atlas-liver hepatocellular carcinoma and GSE14520 were used as discovery and test set, respectively. Differentially expressed genes (DEGs) were identified between HCC tissues and adjacent normal liver tissues. Univariate Cox proportional hazards regression analysis was performed to identify DEGs correlated with survival of HCC patients. A 4-gene-based signature was constructed based on a least absolute shrinkage and selection operator Cox penalized regression model. The predictive value of the signature was analyzed and validated. Results: Two hundred sixty-three DEGs were identified between HCC and adjacent liver tissues. After univariate survival analysis, 90 DEGs were found to be significantly correlated with the overall survival (OS) of HCC patients, of which 4 genes (KPNA2, CDC20, SPP1, and TOP2A) with non-zero coefficient were used to construct a prognostic signature. The 4-gene signature was significantly associated with the age (P = 0.046), grade (P = 0.022), and T stage (P = 0.023) of HCC patients in the discovery set and it also significantly associated with TNM stage (P = 0.033), and serum alpha-fetoprotein lever (P = 0.034). Patients in the 4-gene low-risk group were associated with better OS and recurrence-free survival (RFS) than those in the high-risk group in the discovery and test set. Meanwhile, the 4-gene signature is an independent prognostic factor regarding OS and RFS in the discovery and test set. Conclusion:We developed a 4-gene-based signature, which could be a candidate prognostic factor for patients with HCC. K E Y W O R D S 4-gene-based signature, hepatocellular carcinoma, prognostic significance J Cell Biochem. 2019;120:9117-9124.wileyonlinelibrary.com/journal/jcb

KPNA2-Associated Immune Analyses Highlight the Dysregulation and Prognostic Effects of GRB2, NRAS, and Their RNA-Binding Proteins in Hepatocellular Carcinoma

“…In breast cancer, KPNA2 knockdown could suppress the inflammatory responses and malignant progression of the tumor cells induced by IL-6 (Duan et al, 2020). In HCC, KPNA2 overexpression and its prognostic effects were also reported in several studies (Jiang et al, 2014;Yang et al, 2017b;Chen et al, 2019;Guo et al, 2019;Liu et al, 2019;Yue et al, 2019;. In fact, its tumor-promoting activities were also shown (Gao et al, 2018;Lin et al, 2018;Zan et al, 2019) in HCC.…”

A novel prognostic models for identifying the risk of hepatocellular carcinoma based on epithelial-mesenchymal transition-associated genes

“…Besides, Secreted phosphoprotein 1 (SPP1), an integrin-binding participating in tumorigenesis and metastasis, is over-expressed in numerous cancers, including HCC [30]. Notably, the prognostic-predictive value of SPP1 in HCC has widely been verified and applied in many studies [31][32][33]. LGALS1, also called galectin-1, was revealed to regulate immune responses, cancer metastasis, and cell survival in a few tumors, such as glioma, leukemia, and oral cancer [34][35][36].…”

Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV‑associated hepatocellular carcinoma

“…The expression levels of CDC20 have been indicated to be linked to the development of liver cancer and the prognosis of affected patients (45). Thus, it may be a candidate prognostic factor in patients with HBV-associated HCC (46). BUB1B was reported to be involved in the regulation of the cell cycle of tumor cells (47).…”