Quantitative Protein Expression of Antibody-Drug Conjugate Targets in EGFR Mutated and Wild-Type Non-Small Cell Lung Cancer

抗体 抗体-药物偶联物 生物 药品 肺癌 癌症研究 癌症 结合 单克隆抗体 分子生物学 免疫学 医学 病理 遗传学 药理学 数学分析 数学
作者
Ioannis Trontzas,Mengni He,Anna Wurtz,Charles T. Robbins,Nuriya Robinson,Katherine M. Bates,Matthew Liu,Thazin Nwe Aung,Liam Scott,Nay Nwe Nyein Chan,Sneha Burela,Jacob L. Schillo,D.C. Liebler,Salisha Hill,Ryan D. Morrison,Ioannis Vathiotis,K. Syrigos,Sarah B. Goldberg,Katerina Politi,David L. Rimm
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
标识
DOI:10.1158/1078-0432.ccr-24-3347
摘要

Antibody-drug conjugates (ADCs) are a promising approach for the management of patients with non-small cell lung cancer (NSCLC). However, only a small subset of patients derive benefit from these therapies. We employed quantitative immunofluorescence (QIF) assays to measure the levels of four ADC target proteins (HER2, TROP2, HER3, EGFR) in three NSCLC tissue microarray cohorts stratified according to EGFR mutation (EGFRmut (n=83), EGFRwt (n=128), and EGFR unknown (n=232)). Assay limits were established by mass spectrometry on standard cell lines. All four targets demonstrated a broad and comparable dynamic range of expression in all three cohorts. High proportions of cases were above assay limits for all targets. Comparison of target expression showed a significant association of HER2 with EGFR expression and a non-significant association with EGFR mutation (p=0.0005 and 0.14, respectively). TROP2 expression was not associated with EGFR expression or mutation. HER3 demonstrated a significant negative correlation with EGFR mutation, but no significant association with EGFR expression (p<0.0001 and 0.9869, respectively). EGFR expression was significantly associated with EGFR mutation (p=0.047). ADC targets are highly expressed in NSCLC, implying that the benefit from these agents may be broad. Benefit from these therapies may go beyond mutation status and fully quantitative approaches may help to select patients for ADC targeting. Inter-target correlation may provide insight on the underlying signaling pathways and/or treatment-related resistant mechanisms. In the future, QIF may be a valuable tool to select ADC treatment sequence.
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