作者
Yeo Jin Kim,Hahyeon Jeon,Sungwon Jeon,Sung-Hun Lee,Changjae Kim,Ji‐Hye Ahn,Hyojin Um,Yeong Ju Woo,Jeong Seong-Ho,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 Bíró,Dávid Kis,Byung Chul Kim,Yumi Kim,Jae Hyun Kim,Byoung-Chul Kim,Jong Bhak,In‐Jae Oh
摘要
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.