Department of Interventional Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
The First Clinical Medical College of Jinan University, Guangzhou, China.
Sci Rep. 2024 Jul 7;14(1):15633. doi: 10.1038/s41598-024-66610-z.
Satellite nodules is a key clinical characteristic which has prognostic value of hepatocellular carcinoma (HCC). Currently, there is no gene-level predictive model for Satellite nodules in liver cancer. For the 377 HCC cases collected from the dataset of Cancer Genome Atlas (TCGA), their original pathological data were analyzed to extract information regarding satellite nodules status as well as other relevant pathological data. Then, this study employed statistical modeling for prognostic model establishment in TCGA, and validation in International Cancer Genome Consortium (ICGC) cohorts and GSE76427. Through rigorous statistical analyses, 253 differential satellite nodules-related genes (SNRGs) were identified, and four key genes related to satellite nodules and prognosis were selected to construct a prognostic model. The high-risk group predicted by our model exhibited an unfavorable overall survival (OS) outlook and demonstrated an association with adverse worse clinical characteristics such as larger tumor size, higher alpha-fetoprotein, microvascular invasion and advanced stage. Moreover, the validation of the model's prognostic value in the ICGC and GSE76427 cohorts mirrored that of the TCGA cohort. Besides, the high-risk group also showed higher levels of resting Dendritic cells, M0 macrophages infiltration, alongside decreased levels of CD8 T cells and γδT cells infiltration. The prognostic model based on SNRGs can reliability predict the OS of HCC and is likely to have predictive value of immunotherapy for HCC.
卫星结节是肝癌（HCC）具有预后价值的关键临床特征。目前，肝癌的卫星结节尚无基因水平的预测模型。本研究对来自癌症基因组图谱（TCGA）数据集的 377 例 HCC 病例进行了分析，以提取卫星结节状态以及其他相关病理数据的信息。然后，本研究在 TCGA 中进行了预后模型建立的统计建模，并在国际癌症基因组联盟（ICGC）队列和 GSE76427 中进行了验证。通过严格的统计分析，鉴定出 253 个差异卫星结节相关基因（SNRGs），并选择与卫星结节和预后相关的四个关键基因构建预后模型。我们的模型预测的高危组表现出不利的总体生存（OS）前景，并与不良的临床特征相关，如肿瘤较大、甲胎蛋白水平较高、微血管侵犯和晚期。此外，该模型在 ICGC 和 GSE76427 队列中的验证与 TCGA 队列一致。此外，高危组还显示静止树突状细胞、M0 巨噬细胞浸润水平较高，CD8 T 细胞和γδT 细胞浸润水平较低。基于 SNRGs 的预后模型可以可靠地预测 HCC 的 OS，并且可能对 HCC 的免疫治疗具有预测价值。
