Detection of the drug resistance of human colon cancer in mice with magnetic resonance diffusion-weighted imaging
1.Medical Imaging Department, Nan Sha Center Hospital, Guangzhou Municipal First People’s Hospital, Guangzhou Medical College, Guangzhou 511457, China; 2.Department of Pathology, Cancer Center, Sun-yat Sen University, Guangzhou 510080, China; 3.Guangzhou Municipal First People’s Hospital, Guangzhou Medical University, Guangzhou 511100, China
Abstract：Objective: To investigate the possibilities in detecting the drug resistance of human colon cancer with MR diffusion-weighted imaging(MR-DWI). Methods: SW480(drug response) and SW480/5-FU(5-FU resistance) human colon cancer-bearing nude mice(five each group) were given MR-DWI examinations. Then these mouse models were sacrificed. Their tumors were removed for PKC, P-gp, MRP1 protein expression(Western Blot), and tissue sections(HE staining) was observed. ADCs of the tumor in tumor-bearing mice of two groups were analyzed in comparison with PKC, P-gp, MRP1 protein expression and changes in tissue sections. Results: The values of apparent diffusion coefficient(ADC) detected in the center and edge of the tumor in SW480 group were higher than those in SW480/5-FU group. There was statistical difference(P＜0.05) of ADC value in the edge of tumor between SW480 group and SW480/5-FU group, and there was no statistical difference(P＞0.05) of ADC value in the center of tumor between two groups. ADC value of tumor was negatively correlated with drug resistance. PKC, P-gp, MRP1 protein expression of SW480/5-FU group were significantly higher than that of SW480 group(P<0.05). Conclusions: MR-DWI ADC value change has the potential to help detection of colon cancer drug resistance with MR in vivo.
谢 琦1，杨逸铭1，吴敏仪1，张鼎旋1，雷正贤1，张 静2，许 进3，钟维德3. 磁共振弥散成像对耐药与不耐药结肠癌荷瘤鼠检测的观察[J]. 中国临床医学影像杂志, 2016, 27(5): 355-358.
XIE Qi1, YANG Yi-ming1, WU Min-yi1, ZHANG Ding-xuan1, LEI Zheng-xian1, ZHANG Jing2, XU Jin3, ZHONG Wei-de3. Detection of the drug resistance of human colon cancer in mice with magnetic resonance diffusion-weighted imaging. JOURNAL OF CHINA MEDICAL IMAGING, 2016, 27(5): 355-358.
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2016, Vol. 27 
