PO.MCB08.03 · 分子与细胞生物学
使用Hi-C测序检测和功能评估FFPE肺肿瘤标本中的染色体外DNA扩增
Detection and functional assessment of extrachromosomal DNA amplifications in FFPE lung tumor specimens using Hi-C sequencing
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
引言:染色体外DNA(ecDNA)的准确检测在肿瘤学诊断中变得越来越重要,因为ecDNA介导的癌基因扩增会驱动侵袭性肿瘤行为、治疗耐药,并与不良临床结局相关。随着ecDNA在肿瘤生物学中的意义日益明确,用于识别和表征这些结构的灵敏方法至关重要。Hi-C测序已成为ecDNA检测的一种强有力方法,我们团队最先证明了可从FFPE肿瘤标本中准确识别ecDNA,而其他团队则开发了基于Hi-C的工具用于ecDNA检测、序列重建和调控格局分析。在此,我们利用Hi-C来表征此前经CGP分析缺乏其他可识别驱动因素的晚期非小细胞肺癌(NSCLC)肿瘤中的ecDNA格局。
方法:回顾性选取NSCLC肿瘤的FFPE样本(n=97),这些样本来自III/IV期疾病患者,其既往CGP显示无EGFR/RAS突变或基因融合(即"驱动基因阴性")。Hi-C测序由Arima Genomics完成,并使用Arima-SV流程识别重排、基因融合和CNV(包括ecDNA及其他扩增)。ecDNA上癌基因的功能表征通过IHC评估。FISH研究正在进行中,以佐证基于Hi-C对ecDNA及其他染色体扩增(如均质染色区(HSR))的预测。
结果:95/97(98%)份Hi-C文库通过了质控,并进行了深度测序和分析。33/95(35%)份肿瘤存在包含至少一个癌基因的扩增。13/95(14%)份肿瘤携带被预测为染色体外的癌基因扩增,包括涉及MYCL(1)、NFIB(1)、PDGFD(1)、CCND1(1)、CCND3(1)、CCNE1(1)、EGFR(2)、ERBB2(1)、KRAS(1)、FGFR1(1)和MYC(2)的扩增。其余20/95(21%)被预测为染色体整合型扩增,包括CCND1(1)、FGFR1(12)、KIT(2)、MDM2(1)、MET(1)、MYC(1)、NTRK1(1)和NRG1(1)。26份肿瘤剩余组织充足,可进行功能表征并有相应的市售IHC检测用于蛋白表达检测。其中,被预测为染色体外的扩增有7/7(100%)在蛋白水平上表达,而未被预测为染色体外的扩增仅有8/19(42%)在蛋白水平上表达。
结论:这些数据表明,Hi-C能够从常规FFPE肺肿瘤标本中检测ecDNA扩增,并将其与染色体整合型扩增对应物区分开来。这一区分很重要,因为它与扩增癌基因的表达模式相关,并且是为需要精确理解潜在扩增机制的临床和转化研究项目提供信息所必需的。
查看英文原文 English abstract
INTRO: Accurate detection of extrachromosomal DNA (ecDNA) has become increasingly important in oncology diagnostics, as ecDNA-mediated oncogene amplification drives aggressive tumor behavior, therapeutic resistance, and is associated with poor clinical outcomes. As the significance of ecDNA in tumor biology becomes clearer, sensitive methods for identifying and characterizing these structures are essential. Hi-C sequencing has emerged as a powerful approach for ecDNA detection, with our group first demonstrating accurate ecDNA identification from FFPE tumor specimens while others have developed Hi-C based tools for ecDNA detection, sequence reconstruction, and regulatory landscape analysis. Here, we leverage Hi-C to characterize the ecDNA landscape in advanced non-small cell lung cancer (NSCLC) tumors lacking other identifiable drivers by prior CGP analysis.
METHODS: FFPE samples from NSCLC tumors (n=97) were retrospectively selected from patients with Stage III/IV disease whose prior CGP showed no EGFR/RAS mutations or gene fusions (“driver-negative”). Hi-C sequencing was performed by Arima Genomics, and rearrangements, gene fusions, and CNVs (including ecDNAs and other amplifications) were identified with Arima-SV pipeline. Functional characterization of oncogenes on ecDNAs was assessed by IHC. FISH studies are ongoing to corroborate Hi-C based predictions of ecDNAs and other chromosomal amplifications (e.g. homogeneously staining regions (HSRs)).
RESULTS: 95/97 (98%) Hi-C libraries passed QC and were deeply sequenced and analyzed. 33/95 (35%) tumors had amplifications containing at least one oncogene. 13/95 (14%) tumors carried oncogene amplifications predicted to be extra-chromosomal, including those involving MYCL (1), NFIB (1), PDGFD (1), CCND1 (1), CCND3(1), CCNE1 (1), EGFR (2), ERBB2 (1), KRAS (1), FGFR1 (1), and MYC (2). The remaining 20/95 (21%) were predicted to be chromosomally integrated amplifications including CCND1 (1), FGFR1 (12), KIT (2), MDM2 (1), MET (1), MYC (1), NTRK1 (1), and NRG1 (1). Twenty-six tumors had sufficient tissue remaining for functional characterization and a corresponding commercially available IHC test for protein expression. Of these, 7/7 (100%) amplifications predicted to be extra-chromosomal were expressed at the protein level, whereas only 8/19 (42%) not predicted to be extra-chromosomal were expressed at the protein level.
CONCLUSIONS: These data demonstrate that Hi-C can detect ecDNA amplifications from routine FFPE lung tumor specimens and distinguish them from their chromosomally integrated amplification counterparts. This distinction is important because it correlates with amplified oncogene expression patterns and is necessary to inform clinical and translational research programs requiring precise understanding of underlying amplification mechanisms.
利益披露 Disclosure
K. Sikkink,
Arima Genomics Employment, Stock Option.
B. Skrable,
Arima Genomics Employment, Stock Option.
A. Hastie,
Arima Genomics Employment, Stock Option.
A. Schmitt,
Arima Genomics Employment, Stock Option, Patent.