TRP通道与癌症进展有关。我们的研究旨在利用与TRP通道相关的基因建立肝细胞癌（HCC）的预后模型。我们在TCGA和ICGC数据库中使用训练组和验证组，分别计算使用Lasso-Cox回归分析基于预后基因表达水平的风险评分，并进行生存分析以比较高风险组与低风险组的总生存情况。然后，我们比较了临床病理特征并进行了生物功能分析。我们还探讨了免疫细胞浸润并比较了药物敏感性。通过生物信息学算法，我们确定了11个与TRP相关的基因并计算了风险评分。高风险组的患者表现出更差的总生存情况，以及更晚期的T分期和病理分期。风险评分与细胞周期显著相关。高风险组中ICI和RTK靶点的表达升高，并显示出对包括5-氟尿嘧啶、喜树碱、多西紫杉醇、多柔比星、吉西他滨和紫杉醇在内的化疗药物表现出更好的治疗效果。总体而言，我们通过将风险评分和必要的临床病理参数整合，构建了一个个体化的诊断模型，用于预测HCC患者的总体生存情况。我们成功建立了一个使用TRP通道相关基因预测总生存和治疗效果的高度准确的预后模型。© 2023 年 作者（们）。

TRP channels have been implicated in cancer progression. Our study seeks to establish a prognostic model for hepatocellular carcinoma (HCC) by utilizing genes related to TRP channels.We used the TCGA and ICGC databases as training and validation cohorts, respectively. We calculated the risk scores using Lasso-Cox regression analysis based on the expression levels of prognostic genes and performed survival analysis to compare overall survival between high- and low-risk groups. Then we compared the clinicopathologic characteristics and conducted biological functional analysis. We also explored immune cell infiltration and compared the drug sensitivity.Using bioinformatics algorithms, we identified 11 TRP-related genes and calculated the risk scores. Patients in the high-risk group demonstrated worse overall survival, as well as more advanced T stage and pathologic stage. The risk score showed a significant association with the cell cycle. The high-risk group had more ICI and RTK targets with elevated expression and showed better therapeutic effect to chemotherapy including 5-fluorouracil, camptothecin, docetaxel, doxorubicin, gemcitabine, and paclitaxel. Overall, an individualized nomogram was constructed by integrating the risk score and requisite clinicopathologic parameters to predict the overall survival of HCC patients.We successfully established a highly accurate prognostic model for predicting overall survival and therapeutic effects using TRP channel-related genes.© 2023. The Author(s).