Department of General Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Department of General Surgery, South China Hospital of Shenzhen University, Shenzhen, China.
Cancer Med. 2022 Dec;11(23):4721-4735. doi: 10.1002/cam4.4838. Epub 2022 May 30.
Abnormal DNA methylation is one of the most general epigenetic modifications in hepatocellular carcinoma (HCC). Recent research showed that DNA methylation was a prognostic indicator of all-cause HCC and nonviral HCC. However, whether DNA methylation-driver genes could be used for predicting survival, the probability of hepatitis-positive HCC remains unclear.
In this study, DNA methylation-driver genes (MDGs) were screened by a joint analysis of methylome and transcriptome data of 142 hepatitis-positive HCC patients. Subsequently, a prognostic risk score and nomogram were constructed. Finally, correlation analyses between the risk score and signaling pathways and immunity were conducted by GSVA and CIBERSORT.
Through random forest screening and Cox progression analysis, 10 prognostic methylation-driver genes (AC008271.1, C11orf53, CASP8, F2RL2, GBP5, LUCAT1, RP11-114B7.6, RP11-149I23.3, RP11-383 J24.1, and SLC35G2) were screened out. As a result, a prognostic risk score signature was constructed. The independent value of the risk score for prognosis prediction were addressed in the TCGA-HCC and the China-HCC cohorts. Next, clinicopathological features were analyzed and HBV status and histological grade were screened to construct a nomogram together with the risk score. The prognostic efficiency of the nomogram was validated by the calibration curves and the concordance index (C index: 0.829, 95% confidence interval: 0.794-0.864), while its clinical application ability was confirmed by decision curve analysis (DCA). At last, the relationship between the risk score and signaling pathways, as well as the correlations between immune cells were elucidated preliminary.
Taken together, our study explored a novel DNA methylation-driver gene risk score signature and an efficient nomogram for long-term survival prediction of hepatitis-positive HCC patients.
异常的 DNA 甲基化是肝癌(HCC)中最常见的表观遗传修饰之一。最近的研究表明,DNA 甲基化是所有原因 HCC 和非病毒性 HCC 的预后指标。然而,DNA 甲基化驱动基因是否可用于预测生存,阳性肝炎 HCC 的概率尚不清楚。
本研究通过对 142 例阳性肝炎 HCC 患者的甲基化组和转录组数据进行联合分析,筛选出 DNA 甲基化驱动基因(MDGs)。随后构建了预后风险评分和列线图。最后,通过 GSVA 和 CIBERSORT 对风险评分与信号通路和免疫的相关性进行了分析。
通过随机森林筛选和 Cox 进展分析,筛选出 10 个预后相关的甲基化驱动基因(AC008271.1、C11orf53、CASP8、F2RL2、GBP5、LUCAT1、RP11-114B7.6、RP11-149I23.3、RP11-383J24.1 和 SLC35G2)。结果构建了预后风险评分模型。该评分模型在 TCGA-HCC 和中国-HCC 队列中均独立于预后预测。接下来,对临床病理特征进行分析,并结合风险评分筛选 HBV 状态和组织学分级,构建列线图。通过校准曲线和一致性指数(C 指数:0.829,95%置信区间:0.794-0.864)验证了列线图的预后效率,通过决策曲线分析(DCA)验证了其临床应用能力。最后,初步阐明了风险评分与信号通路之间的关系以及免疫细胞之间的相关性。
综上所述,本研究探索了一种新的 DNA 甲基化驱动基因风险评分模型和一种有效的列线图,用于预测阳性肝炎 HCC 患者的长期生存。