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}
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.