PO.CL01.08 · 临床研究

癌症患者循环中的序列和结构DNA改变

Sequence and structural DNA alterations in the circulation of patients with cancer

海报缩略图:癌症患者循环中的序列和结构DNA改变
编号 2591 展板 10 时间 4/20 09:00–12:00 区域 Section 46 主讲 Daniel Bruhm, BS;PhD
分会场 Liquid Biopsies: Circulating Nucleic Acids 2
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作者与单位 Authors & Affiliations

Daniel C. Bruhm1, Carolyn Hruban1, Adrianna L. Bartolomucci1, Akshaya V. Annapragada1, Sarah Short1, Shashikant Koul1, Kaui P. Lebarbenchon1, Julia S. Johansen2, Inna M. Chen2, Andrei Sorop3, Razvan Iacob3, Speranta Iacob3, Liana Gheorghe3, Simona Dima3, Katherine A. McGlynn4, Manuel Ramírez-Zea5, John Groopman1, PLCRC-MEDOCC group, Remond J. A. Fijneman6, Gerrit A. Meijer6, Zachariah H. Foda1, Jillian Phallen1, Robert B. Scharpf1, Victor E. Velculescu1

1The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD,2Department of Oncology, Copenhagen University Hospital–Herlev and Gentofte, Herlev, Denmark,3Center of Digestive Diseases and Liver Transplantation, Fundeni Clinical Institute, Bucharest, Romania,4Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD,5Research Center for the Prevention of Chronic Diseases, Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala,6Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands

摘要 Abstract

中文摘要
游离DNA(cfDNA)中癌症相关遗传改变的特性尚未完全阐明。我们对来自8种常见癌症类型的1,064例患者的1,807份样本进行了cfDNA以及肿瘤组织和白细胞(WBC)的全基因组测序(WGS)。对单碱基替换、小插入和缺失、结构变异(SV)以及单个cfDNA分子中定相变异的表征,揭示了肿瘤来源改变的独特性质以及跨越数个数量级的错误率差异。鉴于cfDNA中检测肿瘤特异性重排连接点相关的低错误率,我们假设这些类型的改变能够在无需事先了解肿瘤组织中改变的情况下检测循环肿瘤DNA(ctDNA)。作为该方法的一个示例,我们在CheckPAC试验(接受放疗和免疫治疗的转移性胰腺癌患者)的cfDNA样本中,全基因组扫描每个测序片段以鉴定推定的重排连接点。我们鉴定出22,010,911个此类片段,但其中仅有1,572个(0.007%)和58,339个(0.27%)分别存在于匹配的肿瘤或WBC样本中,其余仅在cfDNA中鉴定到。我们通过SV类型、SV大小、断点连接处的微同源性和插入、片段大小以及断点相对于最近片段末端的位置来表征每个cfDNA片段,鉴定出依SV起源而异的差异。对cfDNA中SV的机器学习分析在检测肿瘤特异性SV方面产生了高的交叉验证性能,曲线下面积(AUC)为0.97(95% CI: 0.97-0.98)。在富集最可能来源于肿瘤的片段后,我们发现含有SV的cfDNA片段数量与使用肿瘤指导方法获得的数量高度相关(Pearson相关系数 = 0.87,p<0.001),并且仅使用低覆盖度(约4x)血浆WGS就能重现纵向ctDNA水平和临床结局。cfDNA中肿瘤相关序列和结构改变的普遍性质可能对癌症检测具有广泛的用途。
查看英文原文 English abstract
The properties of cancer-associated genetic changes in cell-free DNA (cfDNA) are not fully understood. We performed whole-genome sequencing (WGS) of cfDNA as well as tumor tissue and white blood cells (WBCs) from 1,807 samples of 1,064 patients across eight common cancer types. Characterization of single base substitutions, small insertions and deletions, structural variants (SVs), and phased variants in single cfDNA molecules revealed unique properties of tumor-derived alterations as well as differences in error rates that spanned orders of magnitude. Given the low error rate associated with detection of tumor-specific rearrangement junctions in cfDNA, we hypothesized that these types of changes could enable detection of circulating tumor DNA (ctDNA) without prior knowledge of the alterations in the tumor tissue. As an example of this approach, we scanned each sequenced fragment genome-wide in cfDNA samples from the CheckPAC trial of patients with metastatic pancreatic cancer treated with radiation and immunotherapy to identify putative rearrangement junctions. We identified 22,010,911 such fragments but only 1,572 (0.007%) and 58,339 (0.27%) of these were present in the matched tumor or WBC samples, respectively, with the remaining identified only in cfDNA. We characterized each cfDNA fragment by the SV type, SV size, microhomology and insertion at the breakpoint junction, fragment size, and the location of the breakpoint with respect to the nearest fragment end, identifying differences depending on the origin of the SV. Machine learning analyses of SVs from cfDNA resulted in a high cross-validated performance for detection of tumor-specific SVs with an area under the curve (AUC) of 0.97 (95% CI: 0.97-0.98). After enriching for fragments most likely to be tumor-derived, we found that the number of cfDNA fragments containing SVs was highly correlated with the number obtained using a tumor-informed approach (Pearson correlation coefficient = 0.87, p<0.001), and could recapitulate longitudinal ctDNA levels and clinical outcomes using only low-coverage (~4x) plasma WGS. The universal nature of tumor-associated sequence and structural alterations in cfDNA may be broadly useful for cancer detection.
利益披露 Disclosure
D. C. Bruhm, Delfi Diagnostics Patent. C. Hruban, None.. A. L. Bartolomucci, None. A. V. Annapragada, Delfi Diagnostics Patent. S. Short, None.. S. Koul, None.. K. P. Lebarbenchon, None.. J. S. Johansen, None. I. M. Chen, Roche ), Travel. Bristol Myers Squibb ), Travel. Celgene ), Travel. Genis ). Varian Medical Systems ). AstraZeneca ). GENMAB ). Bayer Travel. Amgen Other, Advisory role. AstraZeneca Other, Advisory role. Astella Other, Advisory role. ANOCCA Other, Advisory role. A. Sorop, None.. R. Iacob, None.. S. Iacob, None.. L. Gheorghe, None.. S. Dima, None.. K. A. McGlynn, None.. M. Ramírez-Zea, None.. J. Groopman, None.. R. J. A. Fijneman, None.. G. A. Meijer, None. Z. H. Foda, Delfi Diagnostics Patent. J. Phallen, Delfi Diagnostics Patent, Other, Founder. R. B. Scharpf, Delfi Diagnostics Independent Contractor, Patent, Other, Founder. V. E. Velculescu, Delfi Diagnostics g., Board of Directors, non-salaried role), Stock, Patent, Founder. LabCorp Patent. Qiagen Patent. Sysmex Patent. Agios Patent. Genzyme Patent. Esoterix Patent. Ventana Patent. ManaT Bio Patent. Viron Therapeutics Other, Advisor. Epitope Other, Advisor.

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