Shen Qinyan, Jiang Yangping, Hu Xihong, Du Zhenwu
Department of Surgical Oncology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
Department of Surgical Oncology, Tianxiang East Hospital, Yiwu, China.
Transl Cancer Res. 2022 Sep;11(9):3175-3186. doi: 10.21037/tcr-22-366.
Hepatocellular carcinoma (HCC) is a very heterogeneous illness, making prognosis prediction a huge problem. Pyroptosis, which has recently been shown to be an inflammatory type of programmed cell death, is involved in HCC. Nevertheless, the role of pyroptosis-related genes in HCC has not been fully elucidated. Thus, this study aimed to construct a prognostic signature based on pyroptosis-related genes for HCC.
The messenger RNA expression patterns of HCC patients, as well as the accompanying clinical information, were retrieved from The Cancer Genome Atlas (TCGA) database for this research. After differentially expressed pyroptosis-related Gene in tumor and normal groups were identified, Cox regression analyses were performed to construct a prognostic signature which was then assessed through independent prognostic analysis.
A signature consisting of four genes (, , , and ) was constructed to predict overall survival (OS) for HCC. The signature was identified to be independent by the cox regression analysis and obtained the largest area under the receiver operating characteristic (ROC) curve (AUC) was 0.691, 0.628, and 0.632 for survival at 1, 2, and 3 years, respectively.
We discovered that the levels of pyroptosis-related genes expression differed across HCC patients and were associated with both survival and prognosis. This suggested that targeting pyroptosis as a treatment strategy for HCC may be a viable option.
肝细胞癌（HCC）是一种高度异质性疾病，使得预后预测成为一个巨大难题。最近研究表明，细胞焦亡作为一种炎症性程序性细胞死亡，参与了HCC的发生发展。然而，细胞焦亡相关基因在HCC中的作用尚未完全阐明。因此，本研究旨在构建基于细胞焦亡相关基因的HCC预后标志物。
本研究从癌症基因组图谱（TCGA）数据库中检索HCC患者的信使核糖核酸表达模式以及相关临床信息。在鉴定肿瘤组和正常组中差异表达的细胞焦亡相关基因后，进行Cox回归分析以构建预后标志物，随后通过独立预后分析对其进行评估。
构建了一个由四个基因（、、、和）组成的标志物来预测HCC的总生存期（OS）。通过Cox回归分析确定该标志物具有独立性，其在1年、2年和3年生存时的受试者工作特征（ROC）曲线下面积（AUC）分别为0.691、0.628和0.632。
我们发现细胞焦亡相关基因的表达水平在HCC患者中存在差异，且与生存和预后相关。这表明将细胞焦亡作为HCC的一种治疗策略可能是一个可行的选择。
