利用血浆cfDNA甲基组和片段组图谱从肿瘤来源的DNA片段中早期诊断肺癌的方法

IF 2.3 3区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Molecular and Cellular Probes Pub Date : 2022-12-01 DOI:10.1016/j.mcp.2022.101873
Yeo Jin Kim , Hahyeon Jeon , Sungwon Jeon , Sung-Hun Lee , Changjae Kim , Ji-Hye Ahn , Hyojin Um , Yeong Ju Woo , Seong-ho Jeong , Yeonkyung Kim , Ha-Young Park , Hyung-Joo Oh , Hyun-Ju Cho , Jin-Han Bae , Ji-Hoon Kim , Seolbin An , Sung-Bong Kang , Sungwoong Jho , Orsolya Biro , David Kis , In-Jae Oh
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引用次数: 4

摘要

早期发现对于尽量减少癌症死亡率至关重要。血浆无细胞DNA (cfDNA)包含肿瘤DNA的特征,使我们能够量化特征并诊断早期肿瘤。在这里,我们报告了一种新的肿瘤片段量化方法,TOF(肿瘤起源片段),通过量化和分析血浆cfDNA甲基化模式和片段组学特征来诊断肺癌。TOF利用6243个肺肿瘤特异性CpG标记上每个cfDNA的甲基化密度信息来预测ctDNA的数量。通过与公开甲基化数据中相应的正常组织和健康血液进行比较,从肺肿瘤组织中获得6243个肿瘤特异性标志物。TOF还利用了两个cfDNA片段组学特征:1)短片段比率,和2)5 '端基序轮廓。我们使用来自201名肺癌患者和97名健康对照者的298份血浆样本,利用酶甲基测序数据分析cfDNA特征。从正常样本中正确分类肺癌的TOF评分为曲线下面积的0.98。TOF评分分辨率足够高,甚至可以清楚地区分早期非小细胞肺癌患者与健康对照者。小细胞肺癌患者也是如此。
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A method for early diagnosis of lung cancer from tumor originated DNA fragments using plasma cfDNA methylome and fragmentome profiles

Early detection is critical for minimizing mortality from cancer. Plasma cell-free DNA (cfDNA) contains the signatures of tumor DNA, allowing us to quantify the signature and diagnose early-stage tumors. Here, we report a novel tumor fragment quantification method, TOF (Tumor Originated Fragment) for the diagnosis of lung cancer by quantifying and analyzing both the plasma cfDNA methylation patterns and fragmentomic signatures. TOF utilizes the amount of ctDNA predicted from the methylation density information of each cfDNA read mapped on 6243 lung-tumor-specific CpG markers. The 6243 tumor-specific markers were derived from lung tumor tissues by comparing them with corresponding normal tissues and healthy blood from public methylation data. TOF also utilizes two cfDNA fragmentomic signatures: 1) the short fragment ratio, and 2) the 5′ end-motif profile. We used 298 plasma samples to analyze cfDNA signatures using enzymatic methyl-sequencing data from 201 lung cancer patients and 97 healthy controls. The TOF score showed 0.98 of the area under the curve in correctly classifying lung cancer from normal samples. The TOF score resolution was high enough to clearly differentiate even the early-stage non-small cell lung cancer patients from the healthy controls. The same was true for small cell lung cancer patients.

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来源期刊
Molecular and Cellular Probes
Molecular and Cellular Probes 生物-生化研究方法
CiteScore
6.80
自引率
0.00%
发文量
52
审稿时长
16 days
期刊介绍: MCP - Advancing biology through–omics and bioinformatic technologies wants to capture outcomes from the current revolution in molecular technologies and sciences. The journal has broadened its scope and embraces any high quality research papers, reviews and opinions in areas including, but not limited to, molecular biology, cell biology, biochemistry, immunology, physiology, epidemiology, ecology, virology, microbiology, parasitology, genetics, evolutionary biology, genomics (including metagenomics), bioinformatics, proteomics, metabolomics, glycomics, and lipidomics. Submissions with a technology-driven focus on understanding normal biological or disease processes as well as conceptual advances and paradigm shifts are particularly encouraged. The Editors welcome fundamental or applied research areas; pre-submission enquiries about advanced draft manuscripts are welcomed. Top quality research and manuscripts will be fast-tracked.
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