Department of Hepatobiliary Surgery, Tangshan Central Hospital, Tangshan City, Hebei Province, China.
Medicine (Baltimore). 2023 Mar 10;102(10):e33228. doi: 10.1097/MD.0000000000033228.
Abnormal transient receptor potential (TRP) channel function interferes with intracellular calcium-based signaling and causes malignant phenotypes. However, the effects of TRP channel-related genes on hepatocellular carcinoma (HCC) remain unclear. This study aimed to identify HCC molecular subtypes and prognostic signatures based on TRP channel-related genes to predict prognostic risks. Unsupervised hierarchical clustering was applied to identify HCC molecular subtypes using the expression data of TRP channel-related genes. This was followed by a comparison of the clinical and immune microenvironment characteristics between the resulting subtypes. After screening for differentially expressed genes among subtypes, prognostic signatures were identified to construct risk score-based prognostic and nomogram models and predict HCC survival. Finally, tumor drug sensitivities were predicted and compared between the risk groups. Sixteen TRP channel-related genes that were differentially expressed between HCC and non-tumorous tissues were used to identify 2 subtypes. Cluster 1 had higher TRP scores, better survival status, and lower levels of clinical malignancy. Immune-related analyses also revealed higher infiltration of M1 macrophages and higher immune and stromal scores in Cluster 1 than in Cluster 2. After screening differentially expressed genes between subtypes, 6 prognostic signatures were identified to construct prognostic and nomogram models. The potential of these models to assess the prognostic risk of HCC was further validated. Furthermore, Cluster 1 was more distributed in the low-risk group, with higher drug sensitivities. Two HCC subtypes were identified, of which Cluster 1 was associated with a favorable prognosis. Prognostic signatures related to TRP channel genes and molecular subtypes can be used to predict HCC risk.
异常瞬时受体电位 (TRP) 通道功能会干扰细胞内基于钙的信号转导，并导致恶性表型。然而，TRP 通道相关基因对肝细胞癌 (HCC) 的影响尚不清楚。本研究旨在基于 TRP 通道相关基因鉴定 HCC 分子亚型和预后特征，以预测预后风险。使用 TRP 通道相关基因的表达数据，通过无监督层次聚类来识别 HCC 分子亚型。然后比较由此产生的亚型之间的临床和免疫微环境特征。在对亚型之间的差异表达基因进行筛选后，确定了预后特征，以构建基于风险评分的预后和列线图模型，并预测 HCC 生存率。最后，预测并比较了风险组之间的肿瘤药物敏感性。使用在 HCC 组织和非肿瘤组织之间差异表达的 16 个 TRP 通道相关基因来识别 2 个亚型。Cluster 1 的 TRP 评分较高，生存状态较好，临床恶性程度较低。免疫相关分析还显示，Cluster 1 中 M1 巨噬细胞的浸润水平更高，免疫和基质评分也更高。在对亚型之间的差异表达基因进行筛选后，确定了 6 个预后特征，以构建预后和列线图模型。进一步验证了这些模型评估 HCC 预后风险的潜力。此外，Cluster 1 更多地分布在低风险组中，药物敏感性更高。鉴定出两种 HCC 亚型，其中 Cluster 1 与预后良好相关。与 TRP 通道基因和分子亚型相关的预后特征可用于预测 HCC 风险。
