PO.TB04.07 · 肿瘤生物学
酪氨酸激酶抑制剂诱导的神经内分泌转化型肺癌的患者来源肿瘤模型
Patient-derived tumor models of tyrosine kinase inhibitor-induced neuroendocrine-transformed lung carcinoma
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:肺癌是全球癌症相关死亡的首要原因,其中非小细胞肺癌(NSCLC)占85%,小细胞肺癌(SCLC)占15%。酪氨酸激酶抑制剂(TKIs)是EGFR突变和ALK融合腺癌的一线治疗,但大多数患者会产生耐药。在5-10%的TKI耐药病例中,腺癌(ADC)发生谱系转换为侵袭性神经内分泌(NE)癌,包括LCNEC和SCLC;这些患者缺乏有效疗法且临床预后差。为更好地研究NE转化肿瘤,我们建立了具有临床相关性的患者来源异种移植(PDX)和异种移植来源类器官(XDO)模型,以识别新的治疗脆弱性并阐明NE转化背后的机制。
方法:将患者活检组织皮下移植到NOD-SCID小鼠中,生成九个NE转化PDX模型,并使用类器官培养方案建立了六个配对的长期XDOs(>10代)。通过H&E染色和免疫组化、全外显子组测序及批量RNA测序对PDXs/XDOs进行表征。对于体内治疗分析,扩增供体PDX肿瘤并随机分为四组:溶媒对照、Osimertinib(25 mg/kg,QDx5)、化疗[Cisplatin(3 mg/kg,QW)+ Etoposide(8 mg/kg,TIW)]或联合治疗。对于体外药物测试,将XDOs解离成单细胞,接种到384孔板中,并在21点稀释系列(1 nM-10 μM)中用Osimertinib、Cisplatin或Etoposide处理,第7天使用CellTiter-Glo 3D测量活力。
结果:配对的PDXs/XDOs保留了关键遗传驱动因素,包括EGFR、TP53和RB1突变,以及NOTCH信号通路中反复出现的改变。组织学上,这些模型重现了患者肿瘤表型,包括三个SCLC转化、两个LCNEC转化(一个ADC样,一个NE样)和一个混合ADC/SCLC病例。值得注意的是,混合组织学模型在长期XDO培养中同时维持了ADC和SCLC成分,保留了瘤内异质性。体内治疗测试显示,NE高表达肿瘤对Osimertinib、化疗或联合治疗的反应极小,而一个ADC样LCNEC PDX则对这些治疗组表现出敏感性,这与临床观察一致。XDO药物反应与其配对的PDXs高度一致,表现出对Osimertinib和化疗的耐药(IC50 > 1 μM)。对XDOs进行的58种化合物表观遗传探针文库的初步高通量筛选,识别出一个候选治疗靶点,将在会上展示。
结论:我们的NE转化模型保留了患者肿瘤的分子特征、组织病理学和治疗反应,提供了强大的平台来识别新的治疗策略并剖析驱动肺NE转化的机制。
查看英文原文 English abstract
Background: Lung cancer is the leading cause of cancer-related deaths worldwide, with non-small cell lung cancer (NSCLC) comprising 85% of cases and small cell lung cancer (SCLC) 15%. Tyrosine kinase inhibitors (TKIs) are the frontline therapy for EGFR -mutant and ALK- fusion adenocarcinomas, yet most patients develop resistance. In 5-10% of TKI-resistant cases, adenocarcinomas (ADC) undergo lineage switching to aggressive neuroendocrine (NE) carcinomas, including LCNEC and SCLC; these patients lack effective therapies and have poor clinical outcomes. To better study NE-transformed tumors, we established clinically relevant patient-derived xenograft (PDX) and xenograft-derived organoid (XDO) models to identify novel therapeutic vulnerabilities and elucidate mechanisms underlying NE transformation.
Methods: Patient biopsy tissues were subcutaneously engrafted into NOD-SCID mice to generate nine NE-transformed PDX models, and six matched long-term XDOs (>10 passages) were established using organoid culture protocol. PDXs/XDOs were characterized by H&E and immunohistochemistry, whole-exome sequencing, and bulk RNA-sequencing. For in vivo therapeutic profiling, donor PDX tumors were expanded and randomized into four arms: vehicle, Osimertinib (25 mg/kg, QDx5), chemotherapy [Cisplatin (3 mg/kg, QW) + Etoposide (8 mg/kg, TIW)], or combination. For in vitro drug testing, XDOs were dissociated into single cells, seeded into 384-well plates, and treated with Osimertinib, Cisplatin, or Etoposide across a 21-point dilution series (1 nM-10 μM), with viability measured on Day 7 using CellTiter-Glo 3D.
Results: Paired PDXs/XDOs retained key genetic drivers, including EGFR, TP53, and RB1 mutations, along with recurrent alterations in the NOTCH signaling pathway. Histologically, the models recapitulated patient tumor phenotypes, including three SCLC-transformed, two LCNEC-transformed (one ADC-like, one NE-like), and one mixed ADC/SCLC case. Notably, the mixed-histology model maintained both ADC and SCLC components in long-term XDO culture, preserving intratumoral heterogeneity. In vivo therapeutic testing revealed minimal response to Osimertinib, chemotherapy, or combination therapy in NE-high tumors, whereas an ADC-like LCNEC PDX exhibited sensitivity to these treatment arms, consistent with clinical observations. XDO drug responses were highly concordant with their matched PDXs, demonstrating resistance to Osimertinib and chemotherapy (IC 50 > 1 μM). Preliminary high-throughput screening of XDOs with a 58-compound epigenetic probe library identified a candidate therapeutic target to be presented.
Conclusion: Our NE-transformed models preserve patient tumor molecular features, histopathology, and therapeutic response, providing robust platforms to identify novel therapeutic strategies and dissect mechanisms driving lung NE transformation.
利益披露 Disclosure
M. Djan, None..
S. Martins-Filho, None..
N. Pham, None..
N. Radulovich, None..
Q. Li, None..
M. Li, None..
G. Liu, None.