Oddó David, Pulgar Dahiana, Elgueta Nicole, Acevedo Francisco, Razmiliz Dravna, Navarro María Elena, Camus Mauricio, Merino Tomás, Retamal Ignacio, Pérez-Sepúlveda Alejandra, Villarroel Alejandra, Galindo Héctor, Peña José, Sánchez César
Department of Pathology, School of Medicine, Pontificia Universidad Católica de Chile, Chile. Email:
Asian Pac J Cancer Prev. 2018 Jan 27;19(1):179-183. doi: 10.22034/APJCP.2018.19.1.179.
Introduction: Breast cancer can be classified into subtypes based on immunohistochemical markers, with Ki67 expression levels being used to divide luminal BC tumors in luminal A and B subtypes; however, Ki67 is not routinely determined due to a lack of standardization. Objective: To evaluate histological grade and Eliminate: the mitotic index to determine if they can be used as an alternative method to Ki67 staining for luminal subtype definition. Methods: We evaluated estrogen receptor positive breast cancer tissue samples. Pathological analysis included determination of Ki67. A low level of Ki67 was defined as <14% positive cells. Results: We evaluated 151 breast cancer samples; 24 (15,9%) were classified as I; 74 as HG II (49%), and 53 (35,1%) as HG III. The median value for Ki67 was 13% (range: <1% - 82%) and for MI was 2 (0-12). Histological grade I tumors exhibited Ki67 values significantly lower than HG II and III tumors (Anova, Tamhane test p=0,001). A higher Ki67 value was related to a higher MI (Rho Sperman p=0,336; R2= 0,0273). ROC curve analysis determined that a MI ≥ 3 had a sensibility of 61.9% and specificity of 66.7% in predicting a high Ki67 value (≥14%) (area under the curve: 0,691; p =0,0001). A HG I tumor or HG II-III with MI ≤2, had a high probability of corresponding to a LA tumor (76,3%), as defined using Ki67 expression, while the probability of a LB subtype was higher with HG II-III and a MI ≥3 (57.4%). Global discrimination was 68.1%. Conclusions: For the LA subtype, our predictive model showed a good correlation of HG and MI with the classification based on Ki67<14%. In the LB subtype, the model showed a weak correlation; therefore Ki67 determination seems to be needed for this group of patients.
乳腺癌可根据免疫组化标志物分为不同亚型,Ki67表达水平用于将管腔型乳腺癌肿瘤分为管腔A型和B型;然而,由于缺乏标准化,Ki67并非常规检测项目。目的:评估组织学分级和有丝分裂指数,以确定它们是否可作为替代Ki67染色用于管腔亚型定义的方法。方法:我们评估了雌激素受体阳性的乳腺癌组织样本。病理分析包括Ki67的测定。Ki67低水平定义为阳性细胞<14%。结果:我们评估了151例乳腺癌样本;24例(15.9%)为I级;74例为II级高级别(49%),53例(35.1%)为III级高级别。Ki67的中位数为13%(范围:<1%-82%),有丝分裂指数的中位数为2(0-12)。组织学I级肿瘤的Ki67值显著低于II级和III级高级别肿瘤(方差分析,Tamhan检验p=0.001)。Ki67值越高与有丝分裂指数越高相关(Spearman秩相关系数p=0.336;R2=0.0273)。ROC曲线分析确定,有丝分裂指数≥3在预测高Ki67值(≥14%)时,敏感性为61.9%,特异性为66.7%(曲线下面积:0.691;p=0.0001)。I级高级别肿瘤或有丝分裂指数≤2的II-III级高级别肿瘤,很有可能对应于根据Ki67表达定义的管腔A型肿瘤(76.3%),而II-III级高级别且有丝分裂指数≥3的肿瘤为管腔B型亚型的可能性更高(57.4%)。总体判别率为68.1%。结论:对于管腔A型亚型,我们的预测模型显示组织学分级和有丝分裂指数与基于Ki67<14%的分类有良好相关性。在管腔B型亚型中,该模型显示相关性较弱;因此,对于这组患者似乎仍需要测定Ki67。