评估乳腺癌当前的预后和预测标志物：组织微阵列的验证研究。
Evaluation of current prognostic and predictive markers in breast cancer: a validation study of tissue microarrays.
机构信息
Department of Pathology, University of Ioannina, Medical School, University Campus, PO BOX 1186, 451 10, Ioannina, Greece.
出版信息
Anticancer Res. 2013 May;33(5):2139-45.
BACKGROUND
Tissue microarrays (TMAs) are an attractive alternative to analysis of whole sections (WS). For breast carcinomas, the recent recommendations for cut-offs (i.e. Ki67, H-score) have necessitated the re-evaluation of TMAs.
MATERIALS AND METHODS
TMA results of immunohistochemistry (IHC) and Fluorescence in situ hybridization (FISH) testing for Estrogen receptors (ER), Progesterone receptors (PgR), Ki67 and HER2 were compared against the results of WS for 88 breast carcinomas.
RESULTS
We found excellent agreement between the two methods for ER and PgR IHC evaluation, using the H-score (Kappa coefficient 0.972 and 0.9, respectively). There was also excellent correlation for HER2 IHC (Kappa coefficient 1) and amplification (Kappa coefficient 0.933). Furthermore, scoring of Ki67 was highly-correlated between TMAs and WS (Kappa coefficient 0.954). The latter excellent correlation has not, to our knowledge, been previously reported.
CONCLUSION
For breast cancer, TMAs are an efficient and reliable alternative to the use of WS, using the currently recommended markers, evaluation protocols and cut-off values.
背景
组织微阵列（TMA）是分析全切片（WS）的一种有吸引力的替代方法。对于乳腺癌，最近关于截止值（即 Ki67、H 评分）的建议需要重新评估 TMA。
材料和方法
对 88 例乳腺癌的免疫组织化学（IHC）和荧光原位杂交（FISH）检测的雌激素受体（ER）、孕激素受体（PgR）、Ki67 和 HER2 的 TMA 结果与 WS 结果进行了比较。
结果
我们发现 ER 和 PgR IHC 评估的两种方法之间具有极好的一致性，使用 H 评分（Kappa 系数分别为 0.972 和 0.9）。HER2 IHC（Kappa 系数 1）和扩增（Kappa 系数 0.933）也具有极好的相关性。此外，Ki67 的评分在 TMA 和 WS 之间高度相关（Kappa 系数 0.954）。据我们所知，这种极好的相关性以前没有报道过。
结论
对于乳腺癌，使用当前推荐的标志物、评估方案和截止值，TMA 是 WS 的一种有效且可靠的替代方法。
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