Co-expression network analysis identified six hub genes in association with metastasis risk and prognosis in hepatocellular carcinoma.
Co-expression network analysis identified six hub genes in association with metastasis risk and prognosis in hepatocellular carcinoma.
复制标题
共表达网络分析确定了六个枢纽基因与肝细胞癌的转移风险和预后相关。
DOI:
10.18632/oncotarget.16896
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发表时间:
2017-07-25
期刊:
影响因子:
--
通讯作者:
Zhao Q
中科院分区:
文献类型:
--
作者:
Chen P;Wang F;Feng J;Zhou R;Chang Y;Liu J;Zhao Q
Hepatocellular carcinoma (HCC) has a high incidence and mortality worldwide, and its carcinogenesis and progression are influenced by a complex network of gene interactions. A weighted gene co-expression network was constructed to identify gene modules associated with the clinical traits in HCC (n = 214). Among the 13 modules, high correlation was only found between the red module and metastasis risk (classified by the HCC metastasis gene signature) (R2 = −0.74). Moreover, in the red module, 34 network hub genes for metastasis risk were identified, six of which (ABAT, AGXT, ALDH6A1, CYP4A11, DAO and EHHADH) were also hub nodes in the protein-protein interaction network of the module genes. Thus, a total of six hub genes were identified. In validation, all hub genes showed a negative correlation with the four-stage HCC progression (P for trend < 0.05) in the test set. Furthermore, in the training set, HCC samples with any hub gene lowly expressed demonstrated a higher recurrence rate and poorer survival rate (hazard ratios with 95% confidence intervals > 1). RNA-sequencing data of 142 HCC samples showed consistent results in the prognosis. Gene set enrichment analysis (GSEA) demonstrated that in the samples with any hub gene highly expressed, a total of 24 functional gene sets were enriched, most of which focused on amino acid metabolism and oxidation. In conclusion, co-expression network analysis identified six hub genes in association with HCC metastasis risk and prognosis, which might improve the prognosis by influencing amino acid metabolism and oxidation.
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