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Ki67 热点的数字图像分析优于乳腺癌的手动 Ki67 和有丝分裂计数。

Digital image analysis of Ki67 in hot spots is superior to both manual Ki67 and mitotic counts in breast cancer.

机构信息

Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.

St Erik Eye Hospital, Stockholm, Sweden.

出版信息

Histopathology. 2018 May;72(6):974-989. doi: 10.1111/his.13452. Epub 2018 Feb 14.

Abstract

AIMS

During pathological examination of breast tumours, proliferative activity is routinely evaluated by a count of mitoses. Adding immunohistochemical stains of Ki67 provides extra prognostic and predictive information. However, the currently used methods for these evaluations suffer from imperfect reproducibility. It is still unclear whether analysis of Ki67 should be performed in hot spots, in the tumour periphery, or as an average of the whole tumour section. The aim of this study was to compare the clinical relevance of mitoses, Ki67 and phosphohistone H3 in two cohorts of primary breast cancer specimens (total n = 294).

METHODS AND RESULTS

Both manual and digital image analysis scores were evaluated for sensitivity and specificity for luminal B versus A subtype as defined by PAM50 gene expression assays, for high versus low transcriptomic grade, for axillary lymph node status, and for prognostic value in terms of prediction of overall and relapse-free survival. Digital image analysis of Ki67 outperformed the other markers, especially in hot spots. Tumours with high Ki67 expression and high numbers of phosphohistone H3-positive cells had significantly increased hazard ratios for all-cause mortality within 10 years from diagnosis. Replacing manual mitotic counts with digital image analysis of Ki67 in hot spots increased the differences in overall survival between the highest and lowest histological grades, and added significant prognostic information.

CONCLUSIONS

Digital image analysis of Ki67 in hot spots is the marker of choice for routine analysis of proliferation in breast cancer.

摘要

目的

在乳腺肿瘤的病理检查中,通常通过计算有丝分裂数来评估增殖活性。添加 Ki67 的免疫组化染色可提供额外的预后和预测信息。然而,目前用于这些评估的方法存在可重复性差的问题。Ki67 的分析是否应在热点、肿瘤边缘或整个肿瘤切片的平均值进行,目前仍不清楚。本研究的目的是比较两个原发性乳腺癌标本队列(共 294 例)中核分裂、Ki67 和磷酸化组蛋白 H3 的临床相关性。

方法和结果

评估了手动和数字图像分析评分对于 PAM50 基因表达分析定义的管腔 B 与 A 亚型、高与低转录组分级、腋窝淋巴结状态的敏感性和特异性,以及作为预测总生存期和无复发生存率的预后价值。Ki67 的数字图像分析优于其他标志物,尤其是在热点。Ki67 高表达和磷酸化组蛋白 H3 阳性细胞数量高的肿瘤,从诊断后 10 年内全因死亡率的风险比显著增加。用热点的 Ki67 数字图像分析代替手动有丝分裂计数,增加了最高和最低组织学分级之间总生存率的差异,并提供了有意义的预后信息。

结论

热点的 Ki67 数字图像分析是乳腺癌常规增殖分析的首选标志物。

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