AIMS:Precise evaluation of proliferative activity is essential for the stratified treatment of luminal-type breast cancer (BC). Immunohistochemical staining of Ki-67 has been widely used to determine proliferative activity and is recognised to be a useful prognostic marker. However, there remains discussion concerning the methodology. We aimed to develop an automated and reliable Ki-67 assessment approach for invasive BC. MATERIALS AND RESULTS:A retrospective study was designed to include two cohorts consisting of 152 and 261 consecutive patients with luminal-type BC. Representative tissue blocks following surgery were collected, and three serial sections were stained automatically with Ki-67, pan-cytokeratin and p63. The whole slides were scanned digitally and aligned using VirtualTripleStaining - an extension to the VirtualDoubleStaining™ technique provided by Visiopharm software. The aligned files underwent automated invasive cancer detection, hot-spot identification and Ki-67 counting. The automated scores showed a significant positive correlation with the pathologists' scores (r = 0.82, P < 0.0001). Among selected patients with curative surgery and standard adjuvant therapies (n = 130), the digitally assessed low Ki-67 group (<20%) demonstrated a significantly better prognosis (breast cancer-specific survival, P = 0.030; hazard ratio = 0.038) than the high Ki-67 group. CONCLUSIONS:Digital image analysis yielded similar results to the scores determined by experienced pathologists. The prognostic utility was verified in our cohort, and an automated process is expected to have high reproducibility. Although some pitfalls were confirmed and thus need to be monitored by laboratory staff, the application could be utilised for the assessment of BC.

译文

目的:精确评估增殖活性对于管腔型乳腺癌(BC)的分层治疗至关重要。 Ki-67的免疫组织化学染色已被广泛用于确定增殖活性,并被认为是有用的预后标志物。但是,仍然存在有关该方法的讨论。我们旨在为侵入性BC开发一种自动化且可靠的Ki-67评估方法。
材料与结果:一项回顾性研究旨在包括两个队列,分别由152例和261例腔内型BC患者组成。收集手术后的代表性组织块,并用Ki-67,泛细胞角蛋白和p63自动对三个连续切片进行染色。整个幻灯片都进​​行了数字扫描,并使用VirtualTripleStaining(Visiopharm软件提供的VirtualDoubleStaining™技术的扩展)进行了对齐。对齐后的文件进行了自动浸润癌检测,热点识别和Ki-67计数。自动评分显示与病理学家评分显着正相关(r = 0.82,P <0.0001)。在选定的具有根治性手术和标准辅助疗法的患者中(n = 130),经数字评估的低Ki-67组(<20%)表现出更好的预后(乳腺癌特异性生存率,P = 0.030;危险比= 0.038)比高Ki-67组高。
结论:数字图像分析得出的结果与经验丰富的病理学家确定的分数相似。预后的效用已在我们的队列中得到验证,并且自动化过程有望具有很高的可重复性。尽管确定了一些陷阱,因此需要由实验室工作人员进行监控,但该应用程序可用于评估BC。

+1
+2
100研值 100研值 ¥99课程
检索文献一次
下载文献一次

去下载>

成功解锁2个技能,为你点赞

《SCI写作十大必备语法》
解决你的SCI语法难题!

技能熟练度+1

视频课《玩转文献检索》
让你成为检索达人!

恭喜完成新手挑战

手机微信扫一扫,添加好友领取

免费领《Endnote文献管理工具+教程》

微信扫码, 免费领取

手机登录

获取验证码
登录