Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Central Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Biosci Rep. 2021 Apr 30;41(4). doi: 10.1042/BSR20204442.
Hepatocellular carcinoma (HCC) is one of the most prevalent and lethal cancers worldwide. Neovascularization is closely related to the malignancy of tumors. We constructed a signature of angiogenesis-related long noncoding RNA (lncRNA) to predict the prognosis of patients with HCC. The lncRNA expression matrix of 424 HCC patients was downloaded from The Cancer Genome Atlas (TCGA). First, gene set enrichment analysis (GSEA) was used to distinguish the differentially expressed genes of the angiogenesis genes in liver cancer and adjacent tissues. Next, a signature of angiogenesis-related lncRNAs was constructed using univariate and multivariate analyses, and receiver operating characteristic (ROC) curves were used to assess the accuracy. The signature and relevant clinical information were used to construct the nomogram. A 5-lncRNA signature was highly correlated with overall survival (OS) in HCC patients and performed well in evaluations using the C-index, areas under the curve, and calibration curves. In summary, the 5-lncRNA model can serve as an accurate signature to predict the prognosis of patients with liver cancer, but its mechanism of action must be further elucidated by experiments.
肝细胞癌（HCC）是全球最常见和最致命的癌症之一。血管生成与肿瘤的恶性程度密切相关。我们构建了一个与血管生成相关的长链非编码 RNA（lncRNA）特征，以预测 HCC 患者的预后。从癌症基因组图谱（TCGA）下载了 424 名 HCC 患者的 lncRNA 表达矩阵。首先，使用基因集富集分析（GSEA）来区分肝癌和相邻组织中血管生成基因的差异表达基因。接下来，使用单变量和多变量分析构建了一个与血管生成相关的 lncRNA 特征，并使用接收器操作特征（ROC）曲线来评估准确性。该特征和相关临床信息用于构建列线图。一个 5-lncRNA 特征与 HCC 患者的总生存期（OS）高度相关，并且在使用 C 指数、曲线下面积和校准曲线进行评估时表现良好。总之，该 5-lncRNA 模型可以作为预测肝癌患者预后的准确特征，但必须通过实验进一步阐明其作用机制。
