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血浆游离 DNA 浅层全基因组测序能准确区分小细胞肺癌和非小细胞肺癌。

Shallow whole-genome sequencing of plasma cell-free DNA accurately differentiates small from non-small cell lung carcinoma.

机构信息

Department of Pathology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.

Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.

出版信息

Genome Med. 2020 Apr 21;12(1):35. doi: 10.1186/s13073-020-00735-4.

Abstract

BACKGROUND

Accurate lung cancer classification is crucial to guide therapeutic decisions. However, histological subtyping by pathologists requires tumor tissue-a necessity that is often intrinsically associated with procedural difficulties. The analysis of circulating tumor DNA present in minimal-invasive blood samples, referred to as liquid biopsies, could therefore emerge as an attractive alternative.

METHODS

Concerning adenocarcinoma, squamous cell carcinoma, and small cell carcinoma, our proof of concept study investigates the potential of liquid biopsy-derived copy number alterations, derived from single-end shallow whole-genome sequencing (coverage 0.1-0.5×), across 51 advanced stage lung cancer patients.

RESULTS

Genomic abnormality testing reveals anomalies in 86.3% of the liquid biopsies (16/20 for adenocarcinoma, 13/16 for squamous cell, and 15/15 for small cell carcinoma). We demonstrate that copy number profiles from formalin-fixed paraffin-embedded tumor biopsies are well represented by their liquid equivalent. This is especially valid within the small cell carcinoma group, where paired profiles have an average Pearson correlation of 0.86 (95% CI 0.79-0.93). A predictive model trained with public data, derived from 843 tissue biopsies, shows that liquid biopsies exhibit multiple deviations that reflect histological classification. Most notably, distinguishing small from non-small cell lung cancer is characterized by an area under the curve of 0.98 during receiver operating characteristic analysis. Additionally, we investigated how deeper paired-end sequencing, which will eventually become feasible for routine diagnosis, empowers tumor read enrichment by insert size filtering: for all of the 29 resequenced liquid biopsies, the tumor fraction could be increased in silico, thereby "rescuing" three out of five cases with previously undetectable alterations.

CONCLUSIONS

Copy number profiling of cell-free DNA enables histological classification. Since shallow whole-genome sequencing is inexpensive and often fully operational at routine molecular laboratories, this finding has current diagnostic potential, especially for patients with lesions that are difficult to reach.

摘要

背景

准确的肺癌分类对于指导治疗决策至关重要。然而,病理学家对组织学亚型的分类需要肿瘤组织,而这往往与操作难度有关。因此,从微创血液样本中分析循环肿瘤 DNA(称为液体活检)可能成为一种有吸引力的替代方法。

方法

在腺癌、鳞状细胞癌和小细胞癌方面,我们的概念验证研究调查了来自 51 名晚期肺癌患者的液体活检衍生的拷贝数改变的潜力,这些改变来自单端浅层全基因组测序(覆盖度 0.1-0.5×)。

结果

基因组异常测试显示,86.3%的液体活检存在异常(腺癌 16/20,鳞状细胞癌 13/16,小细胞癌 15/15)。我们证明了福尔马林固定石蜡包埋肿瘤活检的拷贝数图谱可以通过其液体等效物很好地表示。这在小细胞癌组中尤其有效,其中配对图谱的平均 Pearson 相关系数为 0.86(95%置信区间 0.79-0.93)。使用来自 843 个组织活检的公共数据训练的预测模型表明,液体活检具有多个反映组织学分类的偏差。最值得注意的是,在接受者操作特征分析中,区分小细胞和非小细胞肺癌的曲线下面积为 0.98。此外,我们还研究了更深的配对末端测序(最终将成为常规诊断的可行方法)如何通过插入大小过滤增强肿瘤读段富集:对于所有 29 个重新测序的液体活检,肿瘤分数可以在计算机上增加,从而“挽救”五个无法检测到改变的病例中的三个。

结论

无细胞 DNA 的拷贝数谱分析可实现组织学分类。由于浅层全基因组测序成本低廉,并且通常在常规分子实验室中完全可行,因此这一发现具有当前的诊断潜力,特别是对于难以触及病变的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9a/7175544/d5638e234b0f/13073_2020_735_Fig5_HTML.jpg

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