Suppr超能文献

SNU-333 细胞作为一种合适的肾细胞癌原位模型细胞系。

SNU-333 Cells as an Appropriate Cell Line for the Orthotopic Renal Cell Carcinoma Model.

机构信息

College of Medicine, 89481Chosun University, Gwangju, Republic of Korea.

34926Jeju National University, Jeju, Republic of Korea.

出版信息

Technol Cancer Res Treat. 2021 Jan-Dec;20:15330338211038487. doi: 10.1177/15330338211038487.

Abstract

: To investigate a feasible candidate for an appropriate cell line for the orthotopic renal cell carcinoma (RCC) model. Normal human proximal tubule cells (HK-2) and RCC cells were used for MTT assay, Western blotting, sphere-forming assay, and orthotopic injection of BALB/c-nude mice. Immunohistochemistry was adopted in tissue arrays and orthotopic tumors. Primary RCC cells showed resistance to a GPX4 inhibitor compared to HK-2 and to metastatic RCC cells, Caki-1. Caki-2 and SNU-333 cells showed resistance to ferroptosis via increased GPX4 and FTH1, respectively. RCC cells showed increased αSMA, in which Caki-2 and SNU-333 cells exhibited different epithelial-mesenchymal transition and cancer stem cell markers. Caki-1 and SNU-333 cells formed spheres in vitro and orthotopic tumor masses in vivo. The injected SNU-333 tumor only showed high intensities of CD10 and PAX8, markers of renal origin. SNU-333 cell line exhibited resistance via iron metabolism and stemness, and had tumor-initiating capacities in vitro and in vivo. These results suggest that among the cells tested, SNU-333 cells were the most promising for the establishment of an orthotopic RCC model for further researches.

摘要

: 为了寻找合适的肾细胞癌(RCC)模型的原代细胞系,我们对正常人类近端肾小管细胞(HK-2)和 RCC 细胞进行了 MTT 检测、western blot 检测、球体形成实验和裸鼠原位注射。我们在组织芯片和原位肿瘤中使用了免疫组织化学方法。与 HK-2 和转移性 RCC 细胞 Caki-1 相比,原代 RCC 细胞对 GPX4 抑制剂表现出耐药性。Caki-2 和 SNU-333 细胞通过增加 GPX4 和 FTH1 分别对铁死亡产生耐药性。RCC 细胞表达了更多的αSMA,其中 Caki-2 和 SNU-333 细胞表现出不同的上皮-间充质转化和癌症干细胞标志物。Caki-1 和 SNU-333 细胞在体外形成球体并在体内形成原位肿瘤。注射的 SNU-333 肿瘤仅表现出 CD10 和 PAX8 的高强度表达,这是肾脏来源的标志物。SNU-333 细胞系通过铁代谢和干细胞特性表现出耐药性,并且具有体外和体内的肿瘤起始能力。这些结果表明,在所测试的细胞中,SNU-333 细胞是建立 RCC 原位模型的最有前途的候选细胞。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0201/8427911/996365f34681/10.1177_15330338211038487-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验