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黎巴嫩乳腺癌患者雌激素受体、孕激素受体和HER2受体状态的免疫组织化学与基因芯片基因表达谱分析的一致性

Concordance between Immunohistochemistry and Microarray Gene Expression Profiling for Estrogen Receptor, Progesterone Receptor, and HER2 Receptor Statuses in Breast Cancer Patients in Lebanon.

作者信息

Fakhri Ghina B, Akel Reem S, Khalil Maya K, Mukherji Deborah A, Boulos Fouad I, Tfayli Arafat H

机构信息

Division of Hematology and Oncology, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.

Roswell Park Comprehensive Cancer Center/ State University at Buffalo-Jacobs School of Medicine and Biomedical Sciences, Elm & Carlton Streets, Buffalo, NY 14263, USA.

出版信息

Int J Breast Cancer. 2018 May 31;2018:8530318. doi: 10.1155/2018/8530318. eCollection 2018.

Abstract

INTRODUCTION

Accurate evaluation of estrogen and progesterone receptors and HER2 is critical when diagnosing invasive breast cancer for optimal treatment. The current evaluation method is via immunohistochemistry (IHC). In this paper, we compared results of ER, PR, and HER2 from microarray gene expression to IHC in 81 fresh breast cancer specimens.

METHODS

Gene expression profiling was performed using the GeneChip Human Genome U133 Plus 2.0 arrays (Affymetrix Inc). Immunohistochemical staining for estrogen receptor, progesterone receptor, and HER2 status was performed using standard methods at a CAP-accredited pathology laboratory. Concordance rates, agreement measures, and kappa scores were calculated for both methods.

RESULTS

For ER, Kappa score was 0.918 (95% CI, 0.77.3-1.000) and concordance rate was 97.5% (95% CI, 91.4%-99.7%). For PR, Kappa score was 0.652 (95% CI, 0.405-0.849) and concordance rate was 86.4% (95% CI, 77%-93%). For HER2, Kappa score was 0.709 (95% CI, 0.428-0.916) and concordance rate was 97.5% (95% CI, 91.4%-99.7%).

CONCLUSION

Our results are in line with the available evidence with the concordance rate being the lowest for the progesterone receptor. In general, microarray gene expression and IHC proved to have high concordance rates. Several factors can increase the discordance rate such as differences in sample processing.

摘要

引言

在诊断浸润性乳腺癌以进行最佳治疗时,准确评估雌激素受体、孕激素受体和人表皮生长因子受体2(HER2)至关重要。当前的评估方法是通过免疫组织化学(IHC)。在本文中,我们比较了81份新鲜乳腺癌标本中,微阵列基因表达检测雌激素受体(ER)、孕激素受体(PR)和HER2的结果与免疫组织化学检测结果。

方法

使用基因芯片人类基因组U133 Plus 2.0阵列(Affymetrix公司)进行基因表达谱分析。雌激素受体、孕激素受体和HER2状态的免疫组织化学染色在一家获得美国病理学家协会(CAP)认可的病理实验室采用标准方法进行。计算两种方法的一致性率、一致性度量和kappa值。

结果

对于ER,kappa值为0.918(95%可信区间,0.773 - 1.000),一致性率为97.5%(95%可信区间,91.4% - 99.7%)。对于PR,kappa值为0.652(95%可信区间,0.405 - 0.849),一致性率为86.4%(95%可信区间,77% - 93%)。对于HER2,kappa值为0.709(95%可信区间,0.428 - 0.916),一致性率为97.5%(95%可信区间,91.4% - 99.7%)。

结论

我们的结果与现有证据一致,孕激素受体的一致性率最低。总体而言,微阵列基因表达和免疫组织化学显示出较高的一致性率。一些因素会增加不一致率,如样本处理的差异。

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本文引用的文献

1
Cancer Statistics, 2017.《2017 年癌症统计》
CA Cancer J Clin. 2017 Jan;67(1):7-30. doi: 10.3322/caac.21387. Epub 2017 Jan 5.

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