Oncology Center, Semmelweis University, Tömő utca 25-29, 4th floor, Budapest, H-1083, Hungary.
2nd Department of Pathology, Semmelweis University, Üllői út 93, Budapest, H-1091, Hungary.
Pathol Oncol Res. 2020 Jul;26(3):1499-1510. doi: 10.1007/s12253-019-00726-w. Epub 2019 Aug 24.
We aimed to analyze the expression of cell-cycle regulation markers - minichromosome maintenance protein 2 (MCM2), Ki-67, Cyclin-A and phosphohistone-H3 (PHH3) - in pre-treatment core-biopsy samples of breast carcinomas in correlation with known predictive and prognostic factors. Totally 52 core biopsy samples obtained prior to neoadjuvant therapy were analyzed. Immunohistochemistry was performed to analyze the expression of MCM2, Ki-67, Cyclin A and PHH3, which were correlated with the following clinicopathological parameters: clinical TNM, tumor grade, biological subtype, the presence of tumor infiltrating lymphocytes (TIL), pathological tumor response rate to the neoadjuvant therapy and patient survival. All investigated markers showed higher expression in high grade and in triple negative tumors (p < 0.01 and p < 0.05, respectively). Hormone receptor negative tumors showed significantly higher expression of Ki-67 (p < 0.01), MCM2 (p < 0.01) and Cyclin A (p < 0.01) than hormone receptor positive ones. Tumors with increased TIL showed significantly higher Ki-67 expression (p = 0.04). Pattern analysis suggested that novel cell-cycle marker-based subgrouping reveals predictive and prognostic potential. Tumors with high MCM2, Cyclin A or PHH3 expression showed significantly higher rate of pathological complete remission. Tumors with early relapse (progression-free survival ≤2 years) and shortened overall survival also show a higher rate of proliferation. Our cell cycle marker (Ki-67, MCM2, Cyclin A, PHH3) based testing could identify tumors with worse prognosis, but with a favorable response to primary systemic therapy. The pattern of cell-cycle activity could also be useful for predicting early relapse, but our findings need to be further substantiated in larger patient cohorts.
我们旨在分析细胞周期调控标志物——微小染色体维持蛋白 2(MCM2)、Ki-67、细胞周期蛋白 A 和磷酸组蛋白 H3(PHH3)——在乳腺癌新辅助治疗前核心活检样本中的表达情况,并与已知的预测和预后因素相关。共分析了 52 例新辅助治疗前的核心活检样本。采用免疫组织化学法分析 MCM2、Ki-67、Cyclin A 和 PHH3 的表达情况,并与以下临床病理参数相关:临床 TNM、肿瘤分级、生物学亚型、肿瘤浸润淋巴细胞(TIL)的存在、新辅助治疗的病理肿瘤反应率和患者生存情况。所有研究标志物在高级别和三阴性肿瘤中的表达均较高(p<0.01 和 p<0.05)。激素受体阴性肿瘤的 Ki-67(p<0.01)、MCM2(p<0.01)和 Cyclin A(p<0.01)表达显著高于激素受体阳性肿瘤。TIL 增加的肿瘤 Ki-67 表达显著升高(p=0.04)。模式分析表明,基于新型细胞周期标志物的分组具有预测和预后潜力。高 MCM2、Cyclin A 或 PHH3 表达的肿瘤病理完全缓解率显著较高。早期复发(无进展生存期≤2 年)和总生存期缩短的肿瘤也显示出更高的增殖率。我们的细胞周期标志物(Ki-67、MCM2、Cyclin A、PHH3)检测可以识别预后较差但对原发性全身治疗反应良好的肿瘤。细胞周期活性模式也可用于预测早期复发,但我们的研究结果需要在更大的患者队列中进一步证实。