LBPO.CL01 · 临床研究 · Late-Breaking

循环肿瘤细胞上的DLL3表达可预测对双特异性抗体tarlatamab的应答

DLL3 expression on circulating tumor cells predicts response to bispecific antibody tarlatamab

海报缩略图:循环肿瘤细胞上的DLL3表达可预测对双特异性抗体tarlatamab的应答
编号 LB005 展板 5 时间 4/19 02:00–05:00 区域 Section 50 主讲 Avanish Mishra, PhD
分会场 Late-Breaking Research: Clinical Research 1
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作者与单位 Authors & Affiliations

Avanish Mishra1, Catherine Meador2, Kruthika Kikkeri1, Quinn Cunneely1, Maoxuan Lin1, Thomas Carmona-LaSalle1, Shih-Bo Huang1, Remy Bell1, Victor Putaturo1, Weikun Xia1, Joyce Liang1, Jacy Fang1, Sarah San Vicente1, Caroline Zielinski1, Subba Digumarthy1, Yin Hung3, Beow Yeap1, Jon Edd1, Michael Lawrence1, Moshe Sade-Feldman1, Debattama Sen1, Mehmet Toner1, Shyamala Maheswaran1, Justin Gainor1, Daniel Haber1

1Krantz Family Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA,2Division of Hematology Oncology and Department of Medicine, Massachusetts General Hospital, Mass General Brigham Cancer Institute and Harvard Medical School, Boston, MA,3Department of Pathology, Massachusetts General Hospital, Mass General Brigham and Harvard Medical School, Boston, MA

摘要 Abstract

中文摘要
小细胞肺癌(SCLC)是一种神经内分泌恶性肿瘤,具有高转移潜能和不良临床结局的特征。近期,tarlatamab(一种DLL3导向的双特异性T细胞衔接疗法,BiTE)已在SCLC中显示出疗效,但临床结局差异很大,且尚无可用于患者分层的生物标志物。以往识别tarlatamab预测性生物标志物的努力主要集中于肿瘤组织的免疫组化染色,但存档活检中DLL3几乎普遍表达的情况并不能反映约40%的临床应答率。在此,我们旨在确定在启动tarlatamab治疗之前即刻对循环肿瘤细胞(CTC)中DLL3表达进行单细胞分析,是否能识别最有可能获益的患者。 我们对使用CTC-iChip分离的CTC上的DLL3蛋白表达进行了定量,CTC-iChip是一种自动化微流控平台,通过利用惯性微流控对红细胞和血小板进行阴性去除,并利用免疫磁分选去除白细胞,从而富集完整的肿瘤细胞。富集的细胞通过单细胞多光谱荧光成像进行分析。同时,我们对SCLC肿瘤活检样本进行了单细胞RNA测序,以评估DLL3表达的异质性。 在本研究中,我们对一个由20例晚期SCLC患者组成的前瞻性队列进行了治疗前CTC分析,将患者区分为DLL3高(DLL3阳性CTC≥25%)或DLL3低。我们发现,DLL3高的患者持续获得临床获益(SD/PR),而大多数DLL3低的患者在治疗中出现进展(灵敏度85%,特异度100%)。此外,在5例出现临床2级细胞因子释放综合征的患者中,有3例在首次tarlatamab输注后的数天内出现了肿瘤细胞裂解的证据(循环肿瘤碎片)。随后对tarlatamab获得性耐药时CTC的持续纵向分析揭示了两种不同的模式:CTC上DLL3表达的缺失,或表位表达的持续存在并伴有全身性T细胞功能障碍。重要的是,在DLL3表达降低的情况下,其他神经内分泌或SCLC富集的表位(SEZ6或B7-H3)仍可检测到,表明谱系身份得以保留。 综上所述,这些发现表明,采用无偏微流控富集对DLL3进行基于CTC的定量分析,可提供一种实时、无创的生物标志物,用于对最有可能从双特异性抗体tarlatamab获益的患者进行分层。对于那些独特地依赖于癌细胞表位表达的基于免疫的癌症疗法而言,基于CTC的测量可能提供一种可靠的生物标志物以指导治疗干预。除SCLC外,未来的方向包括评估其对已知表达DLL3的肺外神经内分泌癌(包括甲状腺髓样癌、胃肠道和泌尿生殖系统癌症)的普适性。
查看英文原文 English abstract
Small cell lung cancer (SCLC) is a neuroendocrine malignancy characterized by high metastatic potential and poor clinical outcomes. Recently, tarlatamab, a DLL3-directed Bispecific T-cell Engager Therapy (BiTE), has demonstrated effectiveness in SCLC, but clinical outcomes vary, and there is no available biomarker to stratify patients. Efforts to identify predictive biomarkers for tarlatamab have largely centered on immunohistochemistry staining of tumor tissue, but the near-universal expression of DLL3 in archival biopsies does not reflect the clinical response rates of ~40%. Here, we aimed to determine whether single-cell analysis of DLL3 expression in circulating tumor cells (CTCs) immediately prior to initiation of tarlatamab therapy could identify patients most likely to benefit. We quantified DLL3 protein expression on CTCs isolated with the CTC-iChip, an automated microfluidic platform that enriches intact tumor cells through negative depletion of red blood cells and platelets using inertial microfluidics and removal of leukocytes using immunomagnetic sorting. Enriched cells were analyzed by single-cell multispectral fluorescence imaging. In parallel, single-cell RNA sequencing of SCLC tumor biopsies was performed to assess heterogeneity in DLL3 expression. In our study, we performed pre-treatment CTC profiling of a prospective cohort of 20 patients with advanced SCLC, distinguishing patients as DLL3 High (≥25% DLL3-positive CTCs) or DLL3 Low . We found that DLL3 High patients consistently derived clinical benefit (SD/PR), whereas most DLL3 Low patients progressed on therapy (85% sensitivity, 100% specificity). In addition, 3 of 5 patients with clinical grade 2 cytokine release syndrome were found to have evidence of tumor cell lysis (circulating tumor fragments) in the days following the first tarlatamab infusion. Subsequent ongoing longitudinal analysis of CTCs at the time of tarlatamab acquired resistance revealed two distinct patterns: loss of DLL3 expression on CTCs or persistence of epitope expression, accompanied by systemic T cell dysfunction. Importantly, in the case of a reduction in DLL3 expression, other neuroendocrine or SCLC-enriched epitopes (SEZ6 or B7-H3) remained detectable, indicating preserved lineage identity. Together, these findings demonstrate that CTC-based quantitation of DLL3 using unbiased microfluidic enrichment provides a real-time, non-invasive biomarker for stratifying patients most likely to benefit from the bispecific antibody tarlatamab. For immune-based cancer therapies that are uniquely dependent upon epitope expression by cancer cells, CTC-based measurements may provide a robust biomarker for guiding therapeutic interventions. Beyond SCLC, future directions include assessing generalizability to extra-pulmonary neuroendocrine cancers known to express DLL3, including medullary thyroid cancer, GI, and GU cancers.
利益披露 Disclosure
A. Mishra, Novartis ). C. Meador, None.. K. Kikkeri, None.. Q. Cunneely, None.. M. Lin, None.. T. Carmona-LaSalle, None.. S. Huang, None.. R. Bell, None.. V. Putaturo, None.. W. Xia, None.. J. Liang, None.. J. Fang, None.. S. San Vicente, None.. C. Zielinski, None.. S. Digumarthy, None. Y. Hung, American Society of Clinical Pathology and Clinical Care Options Gift. Elsevier Gift. B. Yeap, None.. J. Edd, None.. M. Lawrence, None.. M. Sade-Feldman, None.. D. Sen, None. M. Toner, TellBio Stock Option. S. Maheswaran, TellBio Stock Option. J. Gainor, Amgen ). AstraZeneca ). Daiichi Sankyo ). Mariana Therapeutics ). Mirati Therapeutics ). Merus Pharmaceuticals ). Nuvalent ). Pfizer ). Novocure ). AI Proteins ). Novartis ). Silverback Therapeutics ). Sanofi ). Summit Therapeutics ). D. Haber, TellBio Stock Option.

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