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数字成像在早期乳腺癌增殖标志物Ki67、MCM2和Geminin免疫组织化学评估中的应用及其潜在预后价值。

Digital imaging in the immunohistochemical evaluation of the proliferation markers Ki67, MCM2 and Geminin, in early breast cancer, and their putative prognostic value.

作者信息

Joshi Shalaka, Watkins Johnathan, Gazinska Patrycja, Brown John P, Gillett Cheryl E, Grigoriadis Anita, Pinder Sarah E

机构信息

Department of Research Oncology, King's College London, Faculty of Life Science and Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London, UK.

Breast Cancer Now Unit, King's College London, Faculty of Life Science and Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London, UK.

出版信息

BMC Cancer. 2015 Jul 25;15:546. doi: 10.1186/s12885-015-1531-3.

Abstract

BACKGROUND

Immunohistochemical assessment of proliferation may provide additional prognostic information in early breast cancer. However, due to a lack of methodological standards proliferation markers are still not routinely used for determining therapy. Even for Ki67, one of the most widely-studied markers, disagreements over the optimal cutoff exist. Improvements in digital microscopy may provide new avenues to standardise and make data more reproducible.

METHODS

We studied the immunohistochemical expression of three markers of proliferation: Ki67, Mini-Chromosome Maintenance protein 2 and Geminin, by conventional light microscope and digital imaging on triplicate TMAs from 309 consecutive cases of primary breast cancers. Differences between the average and the maximum percentage reactivity in tumour cell nuclei from the three TMA cores were investigated to assess the validity of the approach. Time-dependent Receiver Operating Characteristic curves were utilized to obtain optimal expression level cut-offs, which were then correlated with clinico-pathological features and survival.

RESULTS

High concordance between conventional and digital scores was observed for all 3 markers (Ki67: rs = 0.87, P < 0.001; MCM2: rs = 0.94, P < 0.001; and Geminin: rs = 0.86, P < 0.001; Spearman's rank). There was no significant difference according to the number of TMA cores included for either Ki67 or MCM2; analysis of two or three cores produced comparable results. Higher levels of all three proliferation markers were significantly associated with higher grade (P < 0.001) and ER-negativity (P < 0.001). Optimal prognostic cut-offs for percentage expression in the tumour were 8 %, 12 and 2.33 % for Ki67, MCM2 and Geminin respectively. All 3 proliferation marker cutoffs were predictive of 15-year breast cancer-specific survival in univariable Cox regression analyses. In multivariable analysis only lymph node status (HR = 3.9, 95 % CI = 1.79-8.5, P = 0.0006) and histological grade (HR = 1.84, 95 % CI = 1-3.38, P = 0.05) remained significantly prognostic.

CONCLUSIONS

Here we show that. MCM2 is a more sensitive marker of proliferation than Ki67 and should be examined in future studies, especially in the lymph node-negative, hormone receptor-positive subgroup. Further, digital microscopy can be used effectively as a high-throughput method to evaluate immunohistochemical expression.

摘要

背景

免疫组化评估增殖情况可为早期乳腺癌提供额外的预后信息。然而,由于缺乏方法学标准,增殖标志物仍未常规用于指导治疗决策。即便对于研究最为广泛的标志物之一Ki67,关于最佳临界值仍存在分歧。数字显微镜技术的改进可能为标准化及提高数据的可重复性提供新途径。

方法

我们通过传统光学显微镜和数字成像技术,对309例连续原发性乳腺癌病例的三联组织芯片(TMA)进行研究,检测增殖的三个标志物:Ki67、微小染色体维持蛋白2(MCM2)和Geminin的免疫组化表达。研究TMA三个核心区域肿瘤细胞核中平均反应百分比与最大反应百分比之间的差异,以评估该方法的有效性。利用时间依赖性受试者工作特征曲线获取最佳表达水平临界值,然后将其与临床病理特征及生存率相关联。

结果

所有3种标志物在传统评分与数字评分之间均显示出高度一致性(Ki67:rs = 0.87,P < 0.001;MCM2:rs = 0.94,P < 0.001;Geminin:rs = 0.86,P < 0.001;Spearman秩相关)。对于Ki67或MCM2,纳入的TMA核心区域数量不同,结果无显著差异;分析两个或三个核心区域得出的结果相似。所有三种增殖标志物水平较高均与高级别(P < 0.001)及雌激素受体阴性(P < 0.001)显著相关。肿瘤中表达百分比的最佳预后临界值分别为:Ki67为8%,MCM2为12%,Geminin为2.33%。在单变量Cox回归分析中,所有3种增殖标志物临界值均能预测15年乳腺癌特异性生存率。多变量分析中,仅淋巴结状态(HR = 3.9,95%CI = 1.79 - 8.5,P = 0.0006)和组织学分级(HR = 1.84,95%CI = 1 - 3.38,P = 0.05)仍具有显著预后意义。

结论

我们在此表明,MCM2是比Ki67更敏感的增殖标志物,应在未来研究中进行检测,尤其是在淋巴结阴性、激素受体阳性亚组中。此外,数字显微镜技术可有效用作评估免疫组化表达的高通量方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9767/4513675/4b652a51a136/12885_2015_1531_Fig1_HTML.jpg

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