Development of a New Focal Mouse Model of Bone Metastasis in Renal Cell Carcinoma

被引:1
作者
Oya, Keita [1 ]
Tsuchie, Hiroyuki [1 ]
Nagasawa, Hiroyuki [1 ]
Hongo, Michio [1 ]
Kasukawa, Yuji [1 ]
Kudo, Daisuke [1 ]
Shoji, Ryo [2 ]
Kasama, Fumihito [3 ]
Kawaragi, Takashi [1 ]
Watanabe, Manabu [1 ]
Tominaga, Kenta [1 ]
Miyakoshi, Naohisa [1 ]
机构
[1] Akita Univ, Dept Orthoped Surg, Grad Sch Med, 1-1-1 Hondo, Akita 0108543, Japan
[2] Akita Kousei Med Ctr, Dept Orthoped Surg, Akita, Japan
[3] Yuri Kumiai Gen Hosp, Dept Orthoped Surg, Akita, Japan
来源
IN VIVO | 2024年 / 38卷 / 03期
关键词
Bone metastasis; renal cell carcinoma; RENCA tumor cells; multiple logistic regression analysis; oncology research; SURVIVAL;
D O I
10.21873/invivo.13541
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background/Aim: Developing animal models of bone metastasis in renal cell carcinoma (RCC) is challenging as immunodeficient mice are required. The aim of this study was to develop a simple immune model of RCC bone metastasis. Materials and Methods: RENCA tumor cells were injected into the right femurs of BALB/c mice. Sixty mice were grouped into each twenty -mouse group according to the tumor cell concentration, and the presence or absence and extent of bone metastasis in the total length of the femur were compared using hematoxylin and eosin staining of the excised tissues. Results: Bone metastasis was significantly higher in the high concentration group than in the other groups (p<0.05), with 10 mice developing bone metastasis at two weeks and nine mice developing bone metastasis at three weeks. The extent of bone metastasis was significantly greater in the high concentration group than in the other groups (p<0.05). Multiple logistic regression analysis was performed to examine the factors influencing bone metastasis, and only the high concentration was a significant factor (p<0.05). Conclusion: We developed a normal immunity mouse model of local bone metastasis from RCC. This model could prove valuable for research into the treatment of bone metastases in RCC.
引用
收藏
页码:1074 / 1078
页数:5
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