乳腺癌中滋养细胞表面抗原2和人表皮生长因子受体2表达的定量多重免疫荧光分析:指导患者选择抗体-药物偶联疗法。

IF 5.6 2区 医学 Q1 ONCOLOGY
JCO precision oncology Pub Date : 2025-07-01 Epub Date: 2025-07-16 DOI:10.1200/PO-25-00128
Charles J Robbins, Mengni He, Nay Chan, Revekka Khaimova, Katherine Bates, Ioannis P Trontzas, Liam Scott, Myrto Moutafi, Chandra B Coleman, Salisha Hill, Daniel C Liebler, Regan Fulton, David L Rimm
{"title":"乳腺癌中滋养细胞表面抗原2和人表皮生长因子受体2表达的定量多重免疫荧光分析:指导患者选择抗体-药物偶联疗法。","authors":"Charles J Robbins, Mengni He, Nay Chan, Revekka Khaimova, Katherine Bates, Ioannis P Trontzas, Liam Scott, Myrto Moutafi, Chandra B Coleman, Salisha Hill, Daniel C Liebler, Regan Fulton, David L Rimm","doi":"10.1200/PO-25-00128","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Accurate quantification of human epidermal growth factor receptor 2 (HER2) and trophoblast cell-surface antigen 2 (TROP2) expression could aid in identifying patients with cancer likely to benefit from emerging HER2 and TROP2 antibody-drug conjugate (ADC) therapies or potentially help oncologists choose which drug to use first, on the basis of the level of the ADC target in the tumor. We developed a standardized multiplex quantitative immunofluorescence (QIF) assay to simultaneously measure HER2 and TROP2 protein levels in cancer tissue.</p><p><strong>Materials and methods: </strong>A multiplex QIF assay was optimized on tissue microarrays (TMAs) by selecting optimal antibody clones and concentrations to achieve maximal signal-to-noise ratios. We create and release Qymia, a QuPath extension to enable simultaneous molecular compartmentalization and fluorescence quantification in TMAs and whole-slide images. Calibration curves, generated from cell line microarrays with HER2/TROP2 measured by mass spectrometry, were used to convert QIF signal into protein concentrations (attomoles/mm<sup>2</sup>). The validated assay was applied to a serial collection of 323 breast cancer specimens in TMA format to characterize HER2 and TROP2 expression distributions.</p><p><strong>Results: </strong>The assay demonstrated linearity across a wide dynamic range of biomarker expression with strong interassay and interoperator reproducibility. Application to 323 breast cancer TMA specimens revealed a weak inverse correlation between HER2 and TROP2 (<i>r</i> = -0.17; <i>P</i> = .001). HER2 was detectable in approximately 85% of TMA cores, including 51% of triple-negative breast cancer TMA cores. TROP2 was detectable in over 96% of specimens across all subtypes.</p><p><strong>Conclusion: </strong>This multiplex immunofluorescence assay provides an approach to accurately and precisely measure HER2/TROP2 levels within breast cancer tissue and compare relative levels of target expression in a breast cancer tissue population. This assay is now ready for studies to assess clinical validity and utility.</p>","PeriodicalId":14797,"journal":{"name":"JCO precision oncology","volume":"9 ","pages":"e2500128"},"PeriodicalIF":5.6000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative Multiplex Immunofluorescence Assay for Trophoblast Cell-Surface Antigen 2 and Human Epidermal Growth Factor Receptor 2 Expression in Breast Cancer: Toward Guiding Patient Selection for Antibody-Drug Conjugate Therapies.\",\"authors\":\"Charles J Robbins, Mengni He, Nay Chan, Revekka Khaimova, Katherine Bates, Ioannis P Trontzas, Liam Scott, Myrto Moutafi, Chandra B Coleman, Salisha Hill, Daniel C Liebler, Regan Fulton, David L Rimm\",\"doi\":\"10.1200/PO-25-00128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Accurate quantification of human epidermal growth factor receptor 2 (HER2) and trophoblast cell-surface antigen 2 (TROP2) expression could aid in identifying patients with cancer likely to benefit from emerging HER2 and TROP2 antibody-drug conjugate (ADC) therapies or potentially help oncologists choose which drug to use first, on the basis of the level of the ADC target in the tumor. We developed a standardized multiplex quantitative immunofluorescence (QIF) assay to simultaneously measure HER2 and TROP2 protein levels in cancer tissue.</p><p><strong>Materials and methods: </strong>A multiplex QIF assay was optimized on tissue microarrays (TMAs) by selecting optimal antibody clones and concentrations to achieve maximal signal-to-noise ratios. We create and release Qymia, a QuPath extension to enable simultaneous molecular compartmentalization and fluorescence quantification in TMAs and whole-slide images. Calibration curves, generated from cell line microarrays with HER2/TROP2 measured by mass spectrometry, were used to convert QIF signal into protein concentrations (attomoles/mm<sup>2</sup>). The validated assay was applied to a serial collection of 323 breast cancer specimens in TMA format to characterize HER2 and TROP2 expression distributions.</p><p><strong>Results: </strong>The assay demonstrated linearity across a wide dynamic range of biomarker expression with strong interassay and interoperator reproducibility. Application to 323 breast cancer TMA specimens revealed a weak inverse correlation between HER2 and TROP2 (<i>r</i> = -0.17; <i>P</i> = .001). HER2 was detectable in approximately 85% of TMA cores, including 51% of triple-negative breast cancer TMA cores. TROP2 was detectable in over 96% of specimens across all subtypes.</p><p><strong>Conclusion: </strong>This multiplex immunofluorescence assay provides an approach to accurately and precisely measure HER2/TROP2 levels within breast cancer tissue and compare relative levels of target expression in a breast cancer tissue population. This assay is now ready for studies to assess clinical validity and utility.</p>\",\"PeriodicalId\":14797,\"journal\":{\"name\":\"JCO precision oncology\",\"volume\":\"9 \",\"pages\":\"e2500128\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JCO precision oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1200/PO-25-00128\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JCO precision oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1200/PO-25-00128","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:准确定量人表皮生长因子受体2 (HER2)和滋养细胞表面抗原2 (TROP2)的表达有助于识别可能受益于新出现的HER2和TROP2抗体-药物偶联(ADC)疗法的癌症患者,或可能帮助肿瘤学家根据肿瘤中ADC靶点的水平选择首先使用哪种药物。我们开发了一种标准化的多重定量免疫荧光(QIF)检测方法,同时测量癌组织中HER2和TROP2蛋白水平。材料和方法:通过选择最佳的抗体克隆和浓度来优化组织微阵列(TMAs)上的多重QIF检测,以获得最大的信噪比。我们创建并发布了Qymia,这是QuPath的扩展,可以在tma和整张幻灯片图像中同时进行分子区区化和荧光定量。利用质谱法测定HER2/TROP2的细胞系微阵列生成校准曲线,将QIF信号转换为蛋白质浓度(原子摩尔/mm2)。将验证的检测方法应用于323例TMA格式的乳腺癌标本中,以表征HER2和TROP2的表达分布。结果:该方法在生物标志物表达的广泛动态范围内呈现线性,具有很强的测定间和操作间的重复性。323例乳腺癌TMA标本显示HER2和TROP2呈弱负相关(r = -0.17;P = .001)。在大约85%的TMA核心中检测到HER2,包括51%的三阴性乳腺癌TMA核心。在所有亚型的96%以上的标本中均可检测到TROP2。结论:这种多重免疫荧光法提供了一种准确准确地测量乳腺癌组织中HER2/TROP2水平的方法,并比较乳腺癌组织群体中靶表达的相对水平。这种检测方法现在已经准备好用于评估临床有效性和实用性的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative Multiplex Immunofluorescence Assay for Trophoblast Cell-Surface Antigen 2 and Human Epidermal Growth Factor Receptor 2 Expression in Breast Cancer: Toward Guiding Patient Selection for Antibody-Drug Conjugate Therapies.

Purpose: Accurate quantification of human epidermal growth factor receptor 2 (HER2) and trophoblast cell-surface antigen 2 (TROP2) expression could aid in identifying patients with cancer likely to benefit from emerging HER2 and TROP2 antibody-drug conjugate (ADC) therapies or potentially help oncologists choose which drug to use first, on the basis of the level of the ADC target in the tumor. We developed a standardized multiplex quantitative immunofluorescence (QIF) assay to simultaneously measure HER2 and TROP2 protein levels in cancer tissue.

Materials and methods: A multiplex QIF assay was optimized on tissue microarrays (TMAs) by selecting optimal antibody clones and concentrations to achieve maximal signal-to-noise ratios. We create and release Qymia, a QuPath extension to enable simultaneous molecular compartmentalization and fluorescence quantification in TMAs and whole-slide images. Calibration curves, generated from cell line microarrays with HER2/TROP2 measured by mass spectrometry, were used to convert QIF signal into protein concentrations (attomoles/mm2). The validated assay was applied to a serial collection of 323 breast cancer specimens in TMA format to characterize HER2 and TROP2 expression distributions.

Results: The assay demonstrated linearity across a wide dynamic range of biomarker expression with strong interassay and interoperator reproducibility. Application to 323 breast cancer TMA specimens revealed a weak inverse correlation between HER2 and TROP2 (r = -0.17; P = .001). HER2 was detectable in approximately 85% of TMA cores, including 51% of triple-negative breast cancer TMA cores. TROP2 was detectable in over 96% of specimens across all subtypes.

Conclusion: This multiplex immunofluorescence assay provides an approach to accurately and precisely measure HER2/TROP2 levels within breast cancer tissue and compare relative levels of target expression in a breast cancer tissue population. This assay is now ready for studies to assess clinical validity and utility.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.10
自引率
4.30%
发文量
363
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信