PO.CL09.01 · 临床研究

在接受osimertinib治疗的EGFR改变型非小细胞肺癌中对选定抗体-药物偶联物(ADC)靶点的膜抗原表达进行分析

Profiling membrane antigen expression of select antibody-drug conjugate (ADC) targets in EGFR -altered non-small cell lung cancer treated with osimertinib

海报缩略图:在接受osimertinib治疗的EGFR改变型非小细胞肺癌中对选定抗体-药物偶联物(ADC)靶点的膜抗原表达进行分析
编号 5333 展板 1 时间 4/21 09:00–12:00 区域 Section 46 主讲 Kevin Lu, BS;MD
分会场 Precision Oncology and Real World Data
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作者与单位 Authors & Affiliations

Kevin Lu1, Tali Azenkot2, Ellen B. Jaeger3, Unnati Jariwala3, Stamatina Fragkogianni3, Jacob Mercer3, Jyoti D. Patel3, Sandip P. Patel2

1UC San Diego School of Medicine, La Jolla, CA,2UC San Diego Moores Cancer Center, La Jolla, CA,3Tempus AI Inc, Chicago, IL

摘要 Abstract

中文摘要
背景:NSCLC患者对EGFR酪氨酸激酶抑制剂(TKIs)的耐药代表着一项未满足的临床需求。旁路通路上调是耐药的关键机制,并代表了抗体-药物偶联物(ADCs)等治疗药物的潜在靶点。本研究评估了接受osimertinib(osi)治疗的NSCLC患者中选定ADC靶点的RNA表达。 方法:使用Tempus Lens平台识别了一个队列(n=583例患者),为接受一线osi单药治疗(mono)或osi联合化疗(combo)的经典EGFR改变型NSCLC,均行DNA(xT)和RNA(xR)检测。选定ADC膜靶点(包括ERBB2、ERBB3、MET、NECTIN4和TACSTD2(TROP2))的RNA-seq数据以每百万转录本(TPM)定量,以log2(TPM+1)报告,并使用Wilcoxon秩和检验进行比较。每个基因的中位RNA表达相对于治疗前EGFR改变型队列进行定义。我们检查了真实世界总生存期(rwOS)以及来自Cox比例风险模型的风险比(HR)。 结果:在583例患者中,诊断时的中位(范围)年龄为66(27-88)岁,68%为女性。在所有样本中,最高的中位基因表达见于ERBB2、MET和TACSTD2(TROP2)(7.46、7.38、7.57)。比较一线治疗前后的样本时,MET的中位基因表达显著增加(7.23 vs 7.85;p<0.001),但NECTIN4(5.22 vs 4.90;p=0.005)和ERBB2(7.48 vs 7.38;p=0.021)的中位表达下降。在osi单药治疗前的患者(n=378)中,中位rwOS为29.8个月。在所评估的五个基因中,仅MET表达与较差的rwOS相关(HR 1.25;p=0.001)。在单药组中,治疗前MET表达高于中位者的rwOS较低于中位者更差(26.1 vs. 31.5个月;p=0.007)。高于中位的MET表达与较差的rwOS相关(相比低于中位,HR 1.52;p=0.008)。 结论:在EGFR改变型NSCLC患者中,我们在治疗前和治疗后样本中均发现了ERBB2、MET和TACSTD2(TROP2)的高表达。这可能为在二线治疗中使用这些ADC靶点提供依据,如近期批准的针对ERBB2突变的trastuzumab deruxtecan、针对c-MET过表达的telisotuzumab vedotin以及针对EGFR改变型NSCLC的datopotamab deruxtecan所示。值得注意的是,治疗前高MET表达与不良生存结局相关,并似乎与osimertinib治疗后耐药相关。需要进一步研究以评估MET表达作为MET靶向药物的预测生物标志物,以克服固有和获得性EGFR-TKI耐药。
查看英文原文 English abstract
Background: Resistance to EGFR-Tyrosine Kinase Inhibitors (TKIs) in patients with NSCLC represents an unmet clinical need. Bypass pathway upregulation is a key mechanism of resistance and represents a potential target for therapeutic agents such as Antibody-Drug Conjugates (ADCs). This study evaluates the RNA expression of select ADC targets in NSCLC patients treated with osimertinib (osi). Methods: The Tempus Lens Platform was used to identify a cohort (n=583 patients) of classical EGFR -altered NSCLC with DNA (xT) and RNA (xR) testing treated with first-line osi monotherapy (mono) or osi with chemotherapy (combo). RNA-seq data of select ADC membrane targets, including ERBB2 , ERBB3 , MET , NECTIN4 , and TACSTD2 (TROP2) were quantified as transcripts per million (TPM), reported as log2(TPM + 1) and compared using Wilcoxon rank-sum test. Median RNA expression in each gene was defined relative to the pre-treatment EGFR -altered cohort. We examined real world overall survival (rwOS) and hazard ratio (HR) from Cox proportional hazards model. Results: Among 583 patients, median (range) age at diagnosis was 66 (27-88) years old while 68% were female. In all samples, the highest median gene expression was identified in ERBB2 , MET , and TACSTD2 (TROP2) (7.46, 7.38, 7.57). When comparing first-line pre- and post-treatment samples, there was a significant increase in median gene expression of MET (7.23 vs 7.85; p<0.001) however decreases in median expression of NECTIN4 (5.22 vs 4.90; p=0.005) and ERBB2 (7.48 vs 7.38; p=0.021). In pre-osi mono patients (n=378), median rwOS was 29.8 months. Of the five genes assessed, only MET expression was associated with worse rwOS (HR 1.25; p=0.001). In the mono group, those with above-median MET expression at pre-treatment had a worse rwOS than those with below-median expression (26.1 vs. 31.5 months; p=0.007). Above-median MET expression was associated with worse rwOS compared to below median (HR 1.52; p=0.008). Conclusion: In patients with EGFR -altered NSCLC, we identified high expression of ERBB2 , MET , and TACSTD2 (TROP2) in both pre- and post-treated samples. This may provide rationale for use of these ADC targets in second-line therapy, such as seen in recent approvals for trastuzumab deruxtecan in ERBB2 -mutated, telisotuzumab vedotin in c-MET over-expressing, and datopotamab deruxtecan in EGFR -altered NSCLC. Notably, high MET pre-treatment expression was associated with poor survival outcome and appeared to be associated with post-osimertinib resistance. Further investigation is required to evaluate MET expression as a predictive biomarker for MET -targeting agents to overcome innate and acquired EGFR-TKI resistance.
利益披露 Disclosure
K. Lu, None.. T. Azenkot, None. E. B. Jaeger, Tempus AI Inc Employment, Stock. U. Jariwala, Tempus AI Inc Employment, Stock. Magnit Global Employment. S. Fragkogianni, Tempus AI Inc Employment, Stock. J. Mercer, Tempus AI Inc Employment. J. D. Patel, Tempus AI Inc Employment, Stock. Astra Zeneca Other, Advisor. AbbVie Other, Advisor. Gilead Other, Advisor. Takeda Other, Advisor. Natera Other, Advisor. Regeneron Other, Advisor. S. P. Patel, Amgen ), Other, Consultant. AstraZeneca ), Other, Consultant. Bristol-Myers Squibb ), Other, Consultant. Eli Lilly ), Consultant. Gilead ). Merck ). Pfizer ), Consultant. Roche/Genentech ). Johnson and Johnson Other, Consultant. Daiichi Sankuo Other, Consultant.

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