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关联阅读测序解析胃癌转移灶中的复杂基因组重排。

Linked read sequencing resolves complex genomic rearrangements in gastric cancer metastases.

作者信息

Greer Stephanie U, Nadauld Lincoln D, Lau Billy T, Chen Jiamin, Wood-Bouwens Christina, Ford James M, Kuo Calvin J, Ji Hanlee P

机构信息

Division of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 1115, 269 Campus Drive, Stanford, CA, 94305-5151, USA.

Medical Oncology, Intermountain Healthcare, St. George, UT, 84770, USA.

出版信息

Genome Med. 2017 Jun 19;9(1):57. doi: 10.1186/s13073-017-0447-8.

Abstract

BACKGROUND

Genome rearrangements are critical oncogenic driver events in many malignancies. However, the identification and resolution of the structure of cancer genomic rearrangements remain challenging even with whole genome sequencing.

METHODS

To identify oncogenic genomic rearrangements and resolve their structure, we analyzed linked read sequencing. This approach relies on a microfluidic droplet technology to produce libraries derived from single, high molecular weight DNA molecules, 50 kb in size or greater. After sequencing, the barcoded sequence reads provide long range genomic information, identify individual high molecular weight DNA molecules, determine the haplotype context of genetic variants that occur across contiguous megabase-length segments of the genome and delineate the structure of complex rearrangements. We applied linked read sequencing of whole genomes to the analysis of a set of synchronous metastatic diffuse gastric cancers that occurred in the same individual.

RESULTS

When comparing metastatic sites, our analysis implicated a complex somatic rearrangement that was present in the metastatic tumor. The oncogenic event associated with the identified complex rearrangement resulted in an amplification of the known cancer driver gene FGFR2. With further investigation using these linked read data, the FGFR2 copy number alteration was determined to be a deletion-inversion motif that underwent tandem duplication, with unique breakpoints in each metastasis. Using a three-dimensional organoid tissue model, we functionally validated the metastatic potential of an FGFR2 amplification in gastric cancer.

CONCLUSIONS

Our study demonstrates that linked read sequencing is useful in characterizing oncogenic rearrangements in cancer metastasis.

摘要

背景

基因组重排是许多恶性肿瘤中关键的致癌驱动事件。然而,即使采用全基因组测序,癌症基因组重排结构的识别和解析仍然具有挑战性。

方法

为了识别致癌基因组重排并解析其结构,我们分析了连接 reads 测序。这种方法依赖于微流控液滴技术来产生源自单个高分子量 DNA 分子(大小为 50 kb 或更大)的文库。测序后,带条形码的序列 reads 提供长程基因组信息,识别单个高分子量 DNA 分子,确定跨基因组连续兆碱基长度片段发生的遗传变异的单倍型背景,并描绘复杂重排的结构。我们将全基因组的连接 reads 测序应用于对同一个体中发生的一组同步转移性弥漫性胃癌的分析。

结果

在比较转移部位时,我们的分析发现转移瘤中存在一种复杂的体细胞重排。与已识别的复杂重排相关的致癌事件导致已知癌症驱动基因 FGFR2 的扩增。通过使用这些连接 reads 数据进行进一步研究,确定 FGFR2 拷贝数改变是一个经历串联重复的缺失 - 倒位基序,在每个转移灶中有独特的断点。使用三维类器官组织模型,我们在功能上验证了 FGFR2 扩增在胃癌中的转移潜力。

结论

我们的研究表明,连接 reads 测序有助于表征癌症转移中的致癌重排。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b3/5477353/07e6db0988eb/13073_2017_447_Fig1_HTML.jpg

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