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鉴定与肾细胞癌对舒尼替尼获得性耐药相关的突变。

Identification of mutations associated with acquired resistance to sunitinib in renal cell cancer.

机构信息

Department of Experimental Oncology, European Institute of Oncology (IEO), Milan, Italy.

Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.

出版信息

Int J Cancer. 2019 Oct 1;145(7):1991-2001. doi: 10.1002/ijc.32256. Epub 2019 Mar 30.

DOI:10.1002/ijc.32256
PMID:30848481
Abstract

Sunitinib is one of the most widely used targeted therapeutics for renal cell carcinoma (RCC), but acquired resistance against targeted therapies remains a major clinical challenge. To dissect mechanisms of acquired resistance and unravel reliable predictive biomarkers for sunitinib in RCC, we sequenced the exons of 409 tumor-suppressor genes and oncogenes in paired tumor samples from an RCC patient, obtained at baseline and after development of acquired resistance to sunitinib. From newly arising mutations, we selected, using in silico prediction models, six predicted to be deleterious, located in G6PD, LRP1B, SETD2, TET2, SYNE1, and DCC. Consistently, immunoblotting analysis of lysates derived from sunitinib-desensitized RCC cells and their parental counterparts showed marked differences in the levels and expression pattern of the proteins encoded by these genes. Our further analysis demonstrates essential roles for these proteins in mediating sunitinib cytotoxicity and shows that their loss of function renders tumor cells resistant to sunitinib in vitro and in vivo. Finally, sunitinib resistance induced by continuous exposure or by inhibition of the six proteins was overcome by treatment with cabozantinib or a low-dose combination of lenvatinib and everolimus. Collectively, our results unravel novel markers of acquired resistance to sunitinib and clinically relevant approaches for overcoming this resistance in RCC.

摘要

舒尼替尼是肾细胞癌(RCC)最广泛使用的靶向治疗药物之一,但获得性耐药仍然是一个主要的临床挑战。为了解析获得性耐药的机制,并为 RCC 中的舒尼替尼揭示可靠的预测生物标志物,我们对一名 RCC 患者的基线和获得性舒尼替尼耐药时的配对肿瘤样本中的 409 个肿瘤抑制基因和癌基因的外显子进行了测序。从新出现的突变中,我们使用计算机预测模型选择了六个被预测为有害的突变,它们位于 G6PD、LRP1B、SETD2、TET2、SYNE1 和 DCC 中。一致的是,对舒尼替尼脱敏的 RCC 细胞及其亲本细胞的裂解物进行免疫印迹分析显示,这些基因编码的蛋白质的水平和表达模式存在明显差异。我们的进一步分析表明,这些蛋白质在介导舒尼替尼细胞毒性方面起着重要作用,并表明它们的功能丧失使肿瘤细胞对舒尼替尼在体外和体内产生耐药性。最后,通过连续暴露或抑制这六种蛋白质,舒尼替尼耐药被克服,用卡博替尼或仑伐替尼和依维莫司的低剂量联合治疗。总之,我们的结果揭示了舒尼替尼获得性耐药的新标志物,以及克服 RCC 中这种耐药性的临床相关方法。

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