PO.BCS01.05 · 生物信息与计算

阐明断裂-融合-桥(BFB)介导的EGFR扩增在乐伐替尼耐药性肝细胞癌中的作用

Elucidation of breakage-fusion-bridge (BFB)-mediated EGFR amplification in lenvatinib-resistant hepatocellular carcinoma

海报缩略图:阐明断裂-融合-桥(BFB)介导的EGFR扩增在乐伐替尼耐药性肝细胞癌中的作用
编号 5460 展板 27 时间 4/21 02:00–05:00 区域 Section 1 主讲 Junghyun (Jenny) Kim, BS
分会场 Application of Bioinformatics to Cancer Biology 5
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作者与单位 Authors & Affiliations

JungHyun (Jenny) Kim1, Ji Young Kim1, Hyeonu Yang1, Sang Yun Ha2, Han-Na Kim1, Hoon Kim3, Yeup Yoon4, Wonseok Kang5

1Samsung Medical Center, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Seoul, Korea, Republic of,2Pathology, Samsung Medical Center, Seoul, Korea, Republic of,3School of Pharmacy, Sungkyunkwan University, Suwon, Korea, Republic of,4Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of,5Gastroenterology and Hepatology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of

摘要 Abstract

中文摘要
乐伐替尼是一种多靶点酪氨酸激酶抑制剂,被广泛用作不适合免疫治疗的肝细胞癌(HCC)患者的一线治疗。然而,其临床获益常因耐药性的产生而受损。理解驱动耐药的基因组改变对于改善HCC的治疗结局至关重要。在本研究中,通过将亲本敏感细胞暴露于浓度递增的乐伐替尼,建立了乐伐替尼耐药的HCC细胞系Huh7。为阐明耐药的潜在机制,进行了短读长和长读长全基因组测序(WGS)、全转录组测序(WTS)和蛋白质印迹(western blot)。亲本细胞与耐药细胞之间基因组改变的比较分析揭示了拷贝数(CN)谱的显著差异。在耐药细胞中,EGFR表现出最为突出的CN增益,从6个拷贝增加至21个拷贝。利用LUMPY进行的详细断点分析识别出与显示显著CN改变的基因组位置直接对应的回折倒位(fold-back inversions),提示断裂-融合-桥(BFB)循环的标志性特征。这些发现经基于Sniffles的长读长结构变异(SV)检测得以证实。分别使用WTS和蛋白质印迹进行的转录组和蛋白质水平分析显示EGFR表达增加。基因集富集分析显示ERBB和MAPK通路显著富集。机制上,观察到EGFR-PAK2-ERK5轴的激活,提示乐伐替尼诱导的VEGFR/FGFR阻断通过EGFR下游通路促进旁路生存信号。乐伐替尼与EGFR抑制剂厄洛替尼联合治疗降低了细胞活力并恢复了敏感性。临床上,接受乐伐替尼治疗且EGFR免疫组化评分高的HCC患者表现出较短的无进展生存期,公共HCC细胞系数据集也一致地显示EGFR扩增细胞的应答不佳。总之,我们的研究结果提示BFB驱动的EGFR扩增是乐伐替尼耐药在HCC中的关键结构和功能驱动因素。对于EGFR表达升高的HCC患者,乐伐替尼联合EGFR抑制剂可能提供一种治疗选择。
查看英文原文 English abstract
Lenvatinib, a multi-targeted tyrosine kinase inhibitor, is widely used as a first-line therapy for patients with immunotherapy-ineligible hepatocellular carcinoma (HCC). However, its clinical benefit is often compromised by the development of resistance. Understanding the genomic alterations driving resistance is critical to improving therapeutic outcomes in HCC. In this study, a lenvatinib-resistant HCC cell line, Huh7, was established by exposing parental sensitive cells to increasing concentrations of lenvatinib. To elucidate the mechanisms underlying drug resistance, short- and long-read whole genome sequencing (WGS), whole transcriptome sequencing (WTS), and western blot were performed. Comparative analysis of genomic alterations between parental and resistant cells revealed marked differences in copy number (CN) profiles. In resistant cells , EGFR showed the most prominent CN gain, increasing from 6 to 21 copies. Detailed breakpoint analysis utilizing LUMPY identified fold-back inversions that directly corresponded with genomic locations exhibiting significant CN alterations, indicative of the hallmark features of breakage-fusion-bridge (BFB) cycles. These findings were confirmed by Sniffles-based long-read SV calling. Transcriptomic and protein-level analyses using WTS and Western blotting, respectively, showed increased EGFR expression. Gene set enrichment analysis showed significant enrichment of ERBB and MAPK pathways. Mechanistically, activation of the EGFR-PAK2-ERK5 axis was observed, suggesting that lenvatinib-induced blockade of VEGFR/FGFR promotes a bypass survival signal through EGFR downstream pathways. Combined treatment with lenvatinib and erlotinib, an EGFR inhibitor, reduced viability and restored sensitivity. Clinically, lenvatinib-treated HCC patients with high EGFR immunohistochemistry scores exhibited shorter progression-free survival, and public HCC cell line datasets consistently showed poor responses in EGFR -amplified cells. In conclusion, our findings suggest BFB-driven EGFR amplification as a key structural and functional driver of lenvatinib resistance in HCC. Lenvatinib combined with an EGFR inhibitor may offer a treatment option for patients with HCC exhibiting elevated EGFR expression.
利益披露 Disclosure
J. Kim, None.. J. Kim, None.. H. Yang, None.. S. Ha, None.. H. Kim, None.. H. Kim, None.. Y. Yoon, None.. W. Kang, None.

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