Xun Shenmei, Li Xiaocui, Zhuang Qingyuan, Zhu Yefei, Qu Lili
The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Department of Gastroenterology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University,1158 Park Road(E) , Qingpu, Shanghai 201700, China.
Heliyon. 2024 May 3;10(10):e30439. doi: 10.1016/j.heliyon.2024.e30439. eCollection 2024 May 30.
Hepatocellular carcinoma (HCC) is the main type of primary liver cancer. This study aimed to develop a basement membrane (BM) related lncRNAs risk signature to evaluate the prognosis of HCC patients. We screened differentially expressed BM-related lncRNAs (DE-BMRlncRNAs) for risk evaluation, and identified six DE-BMRlncRNAs (AC072054.1, NUP50-DT, AC026412.3, AC109322.2, POLH-AS1 and LINC00595) for prognostic risk signature. HCC patients were divided to high or low risk according to median risk score. Our prognostic model predicted that patients with higher risk score had worse prognosis. We also created a nomogram to assist clinical decision-making according to risk score and clinicopathological features. Meanwhile, we confirmed the expression of six lncRNAs in HCC tissue and cells. POLH-AS1 knockdown inhibited the migration and invasion of HCC cells. In conclusion, we established a predictive model based on BMRlncRNAs to predict the prognosis of HCC. Our findings offer a rationale to further explore BM-related biomarkers for HCC.
肝细胞癌(HCC)是原发性肝癌的主要类型。本研究旨在开发一种与基底膜(BM)相关的长链非编码RNA(lncRNA)风险特征,以评估HCC患者的预后。我们筛选了差异表达的与BM相关的lncRNA(DE-BMRlncRNA)用于风险评估,并鉴定出六个用于预后风险特征的DE-BMRlncRNA(AC072054.1、NUP50-DT、AC026412.3、AC109322.2、POLH-AS1和LINC00595)。根据中位风险评分将HCC患者分为高风险或低风险。我们的预后模型预测,风险评分较高的患者预后较差。我们还根据风险评分和临床病理特征创建了一个列线图,以协助临床决策。同时,我们证实了六种lncRNA在HCC组织和细胞中的表达。POLH-AS1敲低抑制了HCC细胞的迁移和侵袭。总之,我们建立了一个基于BMRlncRNA的预测模型来预测HCC的预后。我们的研究结果为进一步探索HCC与BM相关的生物标志物提供了理论依据。