MRI预测乳腺癌分子生物特性可行性的初步探索

目的：通过分析乳腺癌MRI表现与术后ER、PR、C-erbB-2、Ki-67、TopoⅡα等分子表达的相关性，初步探讨MRI反映乳腺癌分子生物学变化的可能性。材料与方法回顾性分析156例国人原发性乳腺癌的MRI影像特征，用数据系统（BI-RADS）记录乳腺癌的形态学和血流动力学，用免疫组织化学PS法测定肿瘤组织ER、PR、C-erbB-2、TopoⅡα及Ki-67的蛋白表达。通过Pearson卡方检验分析病灶的形态、形状、边缘、强化方式及时间信号曲线形态与各蛋白表达间的相关性，用Spearman等级相关法分析达峰时间、最大强化率与各生物学因子之间的关系。结果乳腺癌MRI肿块型病变易有TopoⅡα表达；非肿块型病变、不规则病灶及内部均匀强化病变易有C-erbB-2表达；环形强化病变不易有PR表达；最大强化率高的肿瘤易有C-erbB-2表达；达峰时间短的肿瘤易有TopoⅡα、Ki-67表达。结论 MRI影像特征可初步预测乳腺癌部分生物因子的表达状况。

The feasibility of MRI to indicate protein expressions in primary breast cancer

Objective：By analying the relationship of MR images to the expressions of ER, PR, C-erbB-2, Ki-67, Topo IIα, and discuss the possibility of MR images used to indicate the expressions of some proteins as biomarkers of breast cancers detected immunohistochemically. Materials and Methods： Retrospective analysis the MRI features of 156 primary breast cancer patients in China was performed. Morphologic and kinetic features of breast cancer in MRI were determined based on the breast imaging and reporting data system （BI-RADS）. The expressions of estrogen receptor （ER）, progesterone receptor （PR）, C-erbB-2, Ki-67 and Topo II α were detected by immunohistochemistry. Pearsonχ2 test and Spearman test were used to analyze the correlations of the MR features to these biomarkers. Results：Topo II α were often expressed in mass-like lesions. C-erbB-2 were often expressed in non-mass-like lesions, irregular shape lesions and homogenous enhancement lesions. PR were poorly expressed in rim enhancement lesions. C-erbB-2 were often expressed in the tumors with higher maximum signal enhancement ratio. Topo II α and Ki-67 were often expressed in the tumors with short time to peak. Conclusion：The present MR data might be expected to being useful in assessing the protein expression of primary breast cancer.