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病理学家在 Oncotype DX 检测分诊中的医疗保健价值:基于肿瘤生物学结果的价值导向病理学研究。

Pathologist's health-care value in the triage of Oncotype DX testing: a value-based pathology study of tumour biology with outcomes.

机构信息

Department of Pathology, Pittsburgh, PA, USA.

Department of Medical Oncology, Magee-Women's Hospital of University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.

出版信息

Histopathology. 2018 Oct;73(4):692-700. doi: 10.1111/his.13690. Epub 2018 Aug 6.

Abstract

AIMS

Pathologists provide expert tissue assessment of breast cancer, yet their value to guide the appropriate use of breast cancer gene expression profile tests (GEPT) is underutilised. The specific aims of this study are to report morpho-immunohistological characteristics of breast tumours with Oncotype DX (ODx) recurrence scores (RS) of 10 or fewer (ultra-low risk) and 25 or fewer (low risk) in order to determine if pathologists can identify prospectively patient tumours that do not require ODx testing.

METHODS AND RESULTS

Oncotype DX cases with RS < 10 from 2005 to 2010 comprised 441 of 2594 (17%) of clinical cases; this cohort had 5 years' follow-up and was treated with endocrine therapy alone. Tumours were analysed for tumour type, Nottingham grade, mitosis score (MS) semi-quantitative (H-score) hormone receptor content and Magee equation 3. Knowledge derived from this data set was used to develop algorithms in order to identify prospectively tumours with RS of 10 or fewer or 25 or fewer. Thirty-four per cent of tumours were low-grade special types, while the remainder were enriched with high hormone receptor content with MS of 1. These algorithmic selection criteria identified correctly all patient cases below the chemotherapy cut-point, i.e. RS < 25, indicating that these oncotype test orders were an unnecessary cost.

CONCLUSIONS

This unique study demonstrates that (i) pathologists add great value to triage breast cancer for GEPT; and (ii) can identify prospectively low-grade tumour biology with high sensitivity and high specificity for those cases which do not require chemotherapy (RS < 25) using MS and hormone receptor content.

摘要

目的

病理学家提供乳腺癌的专业组织评估,但他们在指导乳腺癌基因表达谱检测(GEPT)的合理应用方面的价值尚未得到充分利用。本研究的具体目的是报告 Oncotype DX(ODx)复发评分(RS)为 10 或更少(超低风险)和 25 或更少(低风险)的乳腺癌肿瘤的形态免疫组织学特征,以确定病理学家是否能够前瞻性地识别不需要 ODx 检测的患者肿瘤。

方法和结果

2005 年至 2010 年,ODx RS<10 的病例有 441 例,占 2594 例临床病例的 17%;该队列有 5 年的随访记录,仅接受内分泌治疗。对肿瘤类型、诺丁汉分级、有丝分裂评分(MS)半定量(H 评分)激素受体含量和 Magee 方程 3 进行分析。从这个数据集获得的知识被用来开发算法,以确定 RS 为 10 或更少或 25 或更少的前瞻性肿瘤。34%的肿瘤为低级别特殊类型,其余肿瘤富含高激素受体含量和 MS1。这些算法选择标准正确地识别了所有低于化疗临界点的患者病例,即 RS<25,表明这些 ODx 检测订单是不必要的成本。

结论

这项独特的研究表明:(i)病理学家为 GEPT 筛选乳腺癌增加了巨大的价值;(ii)使用 MS 和激素受体含量,可以前瞻性地识别不需要化疗(RS<25)的低级别肿瘤生物学,具有高灵敏度和高特异性。

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