PO.CL01.20 · 临床研究
利用基于低通量全基因组测序的Hi-C化学技术检测胃肠道和肺部肿瘤中的融合和重排
Fusions and rearrangement detection in gastrointestinal and lung tumors leveraging low-pass whole-genome sequencing based Hi-C chemistry
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
引言:实体瘤的分子谱分析使得能够检测可指导靶向治疗的可操作致癌驱动因素。虽然EGFR和KRAS等基因中的点突变已得到充分确立,但激活关键信号通路的基因融合已日益成为重要的治疗靶点。尽管RNA测序仍是融合检测的金标准,但仍会遗漏临床相关事件。本研究评估Hi-C全基因组测序改善实体瘤中可操作融合和结构重排检测能力。
方法:所有病例作为临床诊疗的一部分均进行了分子检测,如FISH、DNA panel测序和/或RNA转录组测序。Hi-C测序是一种针对FFPE组织结构变异检测优化的新型全基因组DNA检测方法。其化学技术捕获在三维和线性基因组空间中彼此邻近的连接读段对。这增加了断点覆盖度,放大了重排信号,并允许检测被非唯一或复杂基因组区域所掩盖的融合。
结果:共评估了60例实体瘤病例,其中大多数为胃肠道肿瘤,包括胰腺腺癌、胃癌和结直肠癌。首先应用Hi-C测序检测已知的融合和重排(12例),如ALK、FGFR2、ROS1、NTRK3,与FISH(8例)、全转录组(1例)和DNA panel测序(3例)达到100%一致性,并能在所有病例中检测到融合伙伴。其次,将其用于在整个队列中成功识别可操作或潜在可操作的结构变异(48例),这些病例经NGS未检测到可靶向的驱动基因。Hi-C在三例中检测到涉及NRG1的可靶向基因融合,在另一例中检测到PRKCB。还检测到邻近于其过表达可能与肿瘤进展相关的基因(如NRG1、KRAS、NOTCH3和CHST9)的额外重排。
结论:Hi-C测序作为胃肠道及其他实体瘤分子分类的补充工具显示出强大潜力。通过检测基因融合和重排(包括常规检测所遗漏者),Hi-C可能扩大可匹配到靶向治疗的患者数量。
查看英文原文 English abstract
Introduction: Molecular profiling in solid tumors has enabled the detection of actionable oncogenic drivers that guide targeted therapy. While point mutations in genes such as EGFR and KRAS are well established, gene fusions that activate key signaling pathways have become increasingly important therapeutic targets. Although RNA sequencing remains the gold standard for fusion detection, clinically relevant events are still missed. This study evaluates the ability of Hi-C whole-genome sequencing to improve detection of actionable fusions and structural rearrangements in solid tumors.
Methods: All cases had molecular testing such as FISH, DNA panel sequencing, and/or RNA transcriptome sequencing as part of clinical care. Hi-C sequencing is a novel whole-genome DNA assay optimized for structural variant detection from FFPE tissues. Its chemistry captures linked read pairs that originate near each other in both three-dimensional and linear genomic space. This increases breakpoint coverage, amplifies rearrangement signals, and allows detection of fusions obscured by non-unique or complex genomic regions.
Results: A total of 60 solid tumor cases were evaluated, the majority of which were gastrointestinal-including pancreatic adenocarcinoma, gastric cancer, and colorectal cancer. Hi-C sequencing was first applied to detect known fusions and rearrangements (12 cases) like ALK, FGFR2, ROS1, NTRK3, with 100% concordance with FISH (8 cases), whole transcriptome (1 cases), and DNA panel sequencing (3 cases), and able to detect fusion partner in all cases. Next it was used to successfully identify actionable or potentially actionable structural variants across the cohort (48 cases) which had no targetable driver genes detected by NGS. Hi-C detected targetable gene fusions involving NRG1 in three cases, and PRKCB in another case. Additional rearrangements were detected proximally to genes whose overexpression may be linked to tumor progression like NRG1, KRAS, NOTCH3 , and CHST9 .
Conclusions: Hi-C sequencing shows strong potential as a complementary tool for molecular classification of gastrointestinal and other solid tumors. By detecting gene fusions and rearrangements-including those missed by conventional testing-Hi-C may expand the number of patients who can be matched to targeted therapies.
利益披露 Disclosure
D. S. Sigal,
Arima Genomics Other, Scientific Advisor.
A. R. Hastie,
Arima Genomics Employment.
Bionano Genomics Employment.