Wang Jialiang, Wei Huan, Huang Yanlin, Chen Dongmei, Zeng Guofen, Lian Yifan, Huang Yuehua
Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Aging (Albany NY). 2019 Aug 13;11(15):5769-5785. doi: 10.18632/aging.102165.
Combination treatment is a promising strategy to improve prognosis of hepatocellular carcinoma (HCC). Sorafenib is a traditional first-line agent approved for the treatment of advanced HCC, though with limited efficacy. Previously, we reported that lonafarnib, an orally bioavailable non-peptide inhibitor targeting farnesyltransferase, synergizes with sorafenib against the growth of HCC cells. In the present study, we aim to clarify the underlying mechanism of this combination strategy. Initially, using in vitro HCC cell model, we confirmed that synergistic treatment of lonafarnib and sorafenib suppressed cell viability and colony formation, and induced cell death. We then found conversion of LC3-I to LC3-II via combination the treatment and observed formation of autophagosomes by electron microscopy. Knockdown of ATG3 inhibited the autophagic flux induced by the combination treatment. Furthermore, we demonstrated that drug-eliciting autophagy selectively promoted the degradation of cyclin D1 in a lysosome-dependent manner and subsequently inhibited DNA synthesis through downregulating the phosphorylation of Rb protein. In conclusion, our results provide a deeper insight into the mechanism for the combination treatment of lonafarnib and sorafenib in HCC therapy.
联合治疗是改善肝细胞癌(HCC)预后的一种有前景的策略。索拉非尼是一种被批准用于治疗晚期HCC的传统一线药物,但其疗效有限。此前,我们报道了一种口服生物可利用的靶向法尼基转移酶的非肽抑制剂洛那法尼,它与索拉非尼协同作用可抑制HCC细胞的生长。在本研究中,我们旨在阐明这种联合策略的潜在机制。首先,使用体外HCC细胞模型,我们证实洛那法尼和索拉非尼的联合治疗可抑制细胞活力和集落形成,并诱导细胞死亡。然后我们发现联合治疗可使LC3-I转化为LC3-II,并通过电子显微镜观察到自噬体的形成。敲低ATG3可抑制联合治疗诱导的自噬流。此外,我们证明药物诱导的自噬以溶酶体依赖的方式选择性促进细胞周期蛋白D1的降解,随后通过下调Rb蛋白的磷酸化来抑制DNA合成。总之,我们的结果为洛那法尼和索拉非尼联合治疗HCC的机制提供了更深入的见解。