Robbins Charles J, He Mengni, Chan Nay, Khaimova Revekka, Bates Katherine, Trontzas Ioannis P, Scott Liam, Moutafi Myrto, Coleman Chandra B, Hill Salisha, Liebler Daniel C, Fulton Regan, Rimm David L
Department of Pathology, Yale School of Medicine, New Haven, CT.
Department of Medical Oncology, Attikon University Hospital, Athens, GR.
JCO Precis Oncol. 2025 Jul;9:e2500128. doi: 10.1200/PO-25-00128. Epub 2025 Jul 16.
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.
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). The validated assay was applied to a serial collection of 323 breast cancer specimens in TMA format to characterize HER2 and TROP2 expression distributions.
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 ( = -0.17; = .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.
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.
准确量化人表皮生长因子受体2(HER2)和滋养层细胞表面抗原2(TROP2)的表达,有助于识别可能从新兴的HER2和TROP2抗体药物偶联物(ADC)疗法中获益的癌症患者,或者有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,以同时测量癌组织中HER2和TROP2的蛋白水平。
通过选择最佳抗体克隆和浓度以实现最大信噪比,在组织微阵列(TMA)上优化了多重QIF检测方法。我们创建并发布了Qymia,这是一个QuPath扩展程序,可在TMA和全切片图像中实现同时的分子分区和荧光定量。由通过质谱测量HER2/TROP2的细胞系微阵列生成的校准曲线,用于将QIF信号转换为蛋白浓度(阿托摩尔/毫米)。将经过验证的检测方法应用于以TMA形式收集的323例乳腺癌标本系列,以表征HER2和TROP2的表达分布。
该检测方法在生物标志物表达的广泛动态范围内显示出线性,具有很强的批间和操作者间重现性。应用于323例乳腺癌TMA标本显示,HER2和TROP2之间存在弱负相关(r = -0.17;P = .001)。在大约85%的TMA核心中可检测到HER2,包括51%的三阴性乳腺癌TMA核心。在所有亚型的超过96%的标本中可检测到TROP2。
这种多重免疫荧光检测方法提供了一种准确且精确地测量乳腺癌组织中HER2/TROP2水平,并比较乳腺癌组织群体中靶标表达相对水平的方法。该检测方法现已准备好用于评估临床有效性和实用性的研究。