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A method for early diagnosis of lung cancer from tumor originated DNA fragments using plasma cfDNA methylome and fragmentome profiles

Authors :
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
Byung Chul Kim
Yumi Kim
Jae Hyun Kim
Byoung-Chul Kim
Jong Bhak
In-Jae Oh
Source :
Molecular and Cellular Probes. 66:101873
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

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.

Details

ISSN :
08908508
Volume :
66
Database :
OpenAIRE
Journal :
Molecular and Cellular Probes
Accession number :
edsair.doi.dedup.....50de166813ae939beceb6df913634478