Department of Hepatobiliary and Pancreatic Surgery, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
J Physiol Biochem. 2024 May;80(2):439-449. doi: 10.1007/s13105-024-01015-0. Epub 2024 Mar 12.
Hepatocellular carcinoma (HCC) is one of the most aggressive and dismal cancers globally. Emerging evidence has established that mTOR and Hippo pathways are oncogenic drivers of HCC. However, the prognostic value of these pathways in HCC remains unclear. In this study, we aimed to develop a gene signature utilizing the mTOR/Hippo genes for HCC prognostication. A multiple stage strategy was employed to screen, and a 12-gene signature based on mTOR/Hippo pathways was constructed to predict the prognosis of HCC patients. The risk scores calculated by the signature were inversely correlated with patient prognosis. Validation of the signature in independent cohort confirmed its predictive power. Further analysis revealed molecular differences between high and low-risk groups at genomic, transcriptomic, and protein-interactive levels. Moreover, immune infiltration analysis revealed an immunosuppressive state in the high-risk group. Finally, the gene signature could predict the sensitivity to current chemotherapeutic drugs. This study demonstrated that combinatorial mTOR/Hippo gene signature was a robust and independent prognostic tool for survival prediction of HCC. Our findings not only provide novel insights for the molecular understandings of mTOR/Hippo pathways in HCC, but also have important clinical implications for guiding therapeutic strategies.
肝细胞癌 (HCC) 是全球最具侵袭性和预后不良的癌症之一。新出现的证据表明,mTOR 和 Hippo 通路是 HCC 的致癌驱动因素。然而,这些通路在 HCC 中的预后价值尚不清楚。在这项研究中,我们旨在利用 mTOR/Hippo 基因开发一种用于 HCC 预后预测的基因特征。采用多阶段策略进行筛选,并构建了基于 mTOR/Hippo 通路的 12 基因特征来预测 HCC 患者的预后。该特征计算的风险评分与患者的预后呈负相关。在独立队列中的验证证实了该特征的预测能力。进一步的分析揭示了高危和低危组在基因组、转录组和蛋白质相互作用水平上的分子差异。此外,免疫浸润分析显示高危组存在免疫抑制状态。最后,基因特征可以预测对当前化疗药物的敏感性。这项研究表明,组合的 mTOR/Hippo 基因特征是 HCC 生存预测的强大且独立的预后工具。我们的研究结果不仅为 HCC 中 mTOR/Hippo 通路的分子理解提供了新的见解,而且对指导治疗策略具有重要的临床意义。