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受体酪氨酸激酶信号网络定义了对 ERBB 抑制的敏感性,并对 - 突变型肺癌进行分层。

Receptor Tyrosine Kinase Signaling Networks Define Sensitivity to ERBB Inhibition and Stratify -Mutant Lung Cancers.

机构信息

Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

University of Helsinki and Wihuri Research Institute, Helsinki, Finland.

出版信息

Mol Cancer Ther. 2019 Oct;18(10):1863-1874. doi: 10.1158/1535-7163.MCT-18-0573. Epub 2019 Jul 18.

DOI:10.1158/1535-7163.MCT-18-0573
PMID:31320402
Abstract

Most non-small cell lung cancers (NSCLC) contain nontargetable mutations, including , or alterations. By coupling drug sensitivity profiling with drug response studies, we aimed to identify drug vulnerabilities for these NSCLC subtypes. Primary adenosquamous carcinoma (ASC) or adenocarcinoma (AC) cultures were established from (KL) tumors or AC cultures from (KP) tumors. Although -null cells readily propagated as conventional cultures, -null cells required conditional reprograming for establishment. Drug response profiling revealed short-term response to MEK inhibition, yet long-term clonogenic assays demonstrated resistance, associated with sustained or adaptive activation of receptor tyrosine kinases (RTK): activation of ERBBs in KL cultures, or FGFR in AC cultures. Furthermore, pan-ERBB inhibition reduced the clonogenicity of KL cultures, which was exacerbated by combinatorial MEK inhibition, whereas combinatorial MEK and FGFR inhibition suppressed clonogenicity of AC cultures. Importantly, studies confirmed KL-selective sensitivity to pan-ERBB inhibition, which correlated with high ERBB ligand expression and activation of ERBB receptors, implying that ERBB network activity may serve as a predictive biomarker of drug response. Interestingly, in human NSCLCs, phosphorylation of EGFR or ERBB3 was frequently detected in ASCs and squamous cell carcinomas. We conclude that analysis of ERBB signaling networks in conjunction with drug response profiling and biochemical dissection of adaptive RTK activities may serve as a valid diagnostic approach to identify tumors sensitive to ERBB network inhibition.

摘要

大多数非小细胞肺癌(NSCLC)含有不可靶向的突变,包括 缺失或 改变。通过将药物敏感性分析与药物反应研究相结合,我们旨在确定这些 NSCLC 亚型的药物弱点。从 (KL)肿瘤中建立了腺鳞癌(ASC)或腺癌(AC)培养物,或从 (KP)肿瘤中建立了 AC 培养物。虽然 -null 细胞容易作为常规培养物繁殖,但 -null 细胞需要条件性重编程才能建立。药物反应分析显示对 MEK 抑制的短期反应,但长期集落形成测定显示耐药性,与受体酪氨酸激酶(RTK)的持续或适应性激活相关:KL 培养物中 ERBBs 的激活,或 AC 培养物中 FGFR 的激活。此外,泛 ERBB 抑制减少了 KL 培养物的集落形成能力,而联合 MEK 抑制则加剧了这种情况,而联合 MEK 和 FGFR 抑制则抑制了 AC 培养物的集落形成能力。重要的是,研究证实 KL 对泛 ERBB 抑制的选择性敏感性,这与高 ERBB 配体表达和 ERBB 受体激活相关,这意味着 ERBB 网络活性可能作为药物反应的预测生物标志物。有趣的是,在人类 NSCLC 中,ASCs 和鳞状细胞癌中经常检测到 EGFR 或 ERBB3 的磷酸化。我们得出结论,分析 ERBB 信号网络,结合药物反应分析和适应性 RTK 活性的生化分析,可能是一种有效的诊断方法,可识别对 ERBB 网络抑制敏感的肿瘤。

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