文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

亚洲可手术乳腺癌患者的 ER、PR 和 HER2 在蛋白质和 mRNA 水平的相关性。

Correlation of ER, PR, and HER2 at the protein and mRNA levels in Asian patients with operable breast cancer.

机构信息

Department of General Surgery, China Medical University Hospital, Taichung, Taiwan.

Department of Medical Operation, Amwise Diagnostics Pte. Ltd., Singapore.

出版信息

Biosci Rep. 2022 Jan 28;42(1). doi: 10.1042/BSR20211706.


DOI:10.1042/BSR20211706
PMID:35006257
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8766827/
Abstract

Breast cancer is the most common cancer and the leading cause of cancer-related deaths in women. The estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) are the important biomarkers in the prognosis of breast cancer, and their expression is used to categorize breast cancer into subtypes. We aimed to analyze the concordance among ER, PR, and HER2 expression levels and breast cancer subtyping results obtained by immunohistochemistry (IHC, for protein) and reverse transcriptase-polymerase chain reaction (RT-PCR, for mRNA) and to assess the recurrence-free survival (RFS) of the different subtypes as determined by the two methods. We compared biomarker expression by IHC and RT-PCR in 397 operable breast cancer patients and categorized all patients into luminal, HER2, and triple-negative (TN) subtypes. The concordance of biomarker expression between the two methods was 81.6% (κ = 0.4075) for ER, 87.2% (κ = 0.5647) for PR, and 79.1% (κ = 0.2767) for HER2. The κ-statistic was 0.3624 for the resulting luminal, HER2, and TN subtypes. The probability of 5-year RFS was 0.78 for the luminal subtype versus 0.77 for HER2 and 0.51 for TN, when determined by IHC (P=0.007); and 0.80, 0.71, and 0.61, respectively, when determined by the RT-PCR method (P=0.008). Based on the current evidence, subtyping by RT-PCR performs similar to conventional IHC with regard to the 5-year prognosis. The PCR method may thus provide a complementary means of subtyping when IHC results are ambiguous.

摘要

乳腺癌是最常见的癌症,也是女性癌症相关死亡的主要原因。雌激素受体 (ER)、孕激素受体 (PR) 和人表皮生长因子受体 2 (HER2) 是乳腺癌预后的重要生物标志物,其表达用于将乳腺癌分为亚型。我们旨在分析免疫组织化学 (IHC,用于蛋白质) 和逆转录聚合酶链反应 (RT-PCR,用于 mRNA) 检测到的 ER、PR 和 HER2 表达水平与乳腺癌亚型分类结果之间的一致性,并评估两种方法确定的不同亚型的无复发生存率 (RFS)。我们比较了 397 例可手术乳腺癌患者的 IHC 和 RT-PCR 检测的生物标志物表达,并将所有患者分为 luminal、HER2 和三阴性 (TN) 亚型。两种方法检测生物标志物表达的一致性分别为 ER 81.6%(κ=0.4075)、PR 87.2%(κ=0.5647)和 HER2 79.1%(κ=0.2767)。κ 统计量为 0.3624,用于 luminal、HER2 和 TN 三种亚型。当通过 IHC 确定时,luminal 亚型的 5 年 RFS 概率为 0.78,HER2 为 0.77,TN 为 0.51(P=0.007);当通过 RT-PCR 方法确定时,分别为 0.80、0.71 和 0.61(P=0.008)。根据目前的证据,RT-PCR 亚分型与传统 IHC 相比,5 年预后相似。因此,当 IHC 结果不明确时,PCR 方法可能是一种补充的亚分型方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/01244b138a70/bsr-42-bsr20211706-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/7ded8c38c46e/bsr-42-bsr20211706-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/cda0813f1ed0/bsr-42-bsr20211706-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/4eef700cffd9/bsr-42-bsr20211706-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/01244b138a70/bsr-42-bsr20211706-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/7ded8c38c46e/bsr-42-bsr20211706-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/cda0813f1ed0/bsr-42-bsr20211706-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/4eef700cffd9/bsr-42-bsr20211706-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145d/8766827/01244b138a70/bsr-42-bsr20211706-g4.jpg

相似文献

[1]
Correlation of ER, PR, and HER2 at the protein and mRNA levels in Asian patients with operable breast cancer.

Biosci Rep. 2022-1-28

[2]
PAM50 breast cancer subtyping by RT-qPCR and concordance with standard clinical molecular markers.

BMC Med Genomics. 2012-10-4

[3]
Comparison of immunohistochemistry and RT-qPCR for assessing ER, PR, HER2, and Ki67 and evaluating subtypes in patients with breast cancer.

Breast Cancer Res Treat. 2022-8

[4]
Relapse-free survival of statistically standardized continuous RT-PCR estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2): NCIC CTG MA.14.

Breast Cancer Res Treat. 2016-5

[5]
Comparing breast biomarker status between routine immunohistochemistry and FISH studies and Oncotype DX testing, a study of 610 cases.

Breast J. 2018-9-19

[6]
Concordance of breast cancer biomarker status between routine immunohistochemistry/in situ hybridization and Oncotype DX qRT-PCR with investigation of discordance, a study of 591 cases.

Hum Pathol. 2020-10

[7]
Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response.

Breast Cancer Res Treat. 2009-8-8

[8]
ESR1, PGR, ERBB2, and MKi67 mRNA expression in postmenopausal women with hormone receptor-positive early breast cancer: results from ABCSG Trial 6.

ESMO Open. 2021-8

[9]
Comparison of Estrogen receptors, Progesterone receptors and HER2-neu immunohistochemistry results in breast cancer with those of Oncotype Dx.

Ann Diagn Pathol. 2020-8

[10]
Correlation of breast cancer subtypes, based on estrogen receptor, progesterone receptor, and HER2, with functional imaging parameters from ⁶⁸Ga-RGD PET/CT and ¹⁸F-FDG PET/CT.

Eur J Nucl Med Mol Imaging. 2014-8

引用本文的文献

[1]
Integrated Network Pharmacology, Machine Learning and Experimental Validation to Identify the Key Targets and Compounds of for the Treatment of Breast Cancer.

Onco Targets Ther. 2025-1-16

[2]
Quantitative expression of estrogen, progesterone and human epidermal growth factor receptor-2 and their correlation with immunohistochemistry in breast cancer at Uganda Cancer Institute.

PLoS One. 2025-1-3

[3]
Prospective Validation of a One-Step RT-qPCR-based Test for Quantifying HER2 Gene Expression in Breast Cancer.

Asian Pac J Cancer Prev. 2024-11-1

[4]
Menopausal status-dependent alterations in the transcript levels of genes encoding ERα, ERβ, PR and HER2 in breast tumors with different receptor status.

Clin Transl Oncol. 2025-6

本文引用的文献

[1]
Impact of molecular subtypes on the prediction of distant recurrence in estrogen receptor (ER) positive, human epidermal growth factor receptor 2 (HER2) negative breast cancer upon five years of endocrine therapy.

BMC Cancer. 2019-7-15

[2]
Comparison of central laboratory assessments of ER, PR, HER2, and Ki67 by IHC/FISH and the corresponding mRNAs (ESR1, PGR, ERBB2, and MKi67) by RT-qPCR on an automated, broadly deployed diagnostic platform.

Breast Cancer Res Treat. 2018-8-17

[3]
Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016: A Systematic Analysis for the Global Burden of Disease Study.

JAMA Oncol. 2018-11-1

[4]
Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer.

Histopathology. 2018-5-28

[5]
Breast cancer subtype discrimination using standardized 4-IHC and digital image analysis.

Virchows Arch. 2018-2

[6]
Discrepancies in central review re-testing of patients with ER-positive and HER2-negative breast cancer in the OPTIMA prelim randomised clinical trial.

Br J Cancer. 2017-3-28

[7]
Comparison of immunohistochemistry with PCR for assessment of ER, PR, and Ki-67 and prediction of pathological complete response in breast cancer.

BMC Cancer. 2017-2-13

[8]
Molecular Testing in Breast Cancer: A Guide to Current Practices.

Arch Pathol Lab Med. 2016-8

[9]
Effects of Estrogen Receptor and Human Epidermal Growth Factor Receptor-2 Levels on the Efficacy of Trastuzumab: A Secondary Analysis of the HERA Trial.

JAMA Oncol. 2016-8-1

[10]
Pragmatic issues in biomarker evaluation for targeted therapies in cancer.

Nat Rev Clin Oncol. 2014-11-25

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索