Detection and Characterization of Methylated Circulating Tumor DNA in Gastric Cancer

Author:

Seo Seung Young12,Youn Sang Hee23ORCID,Bae Jin-Han45ORCID,Lee Sung-Hun5,Lee Sun Young23ORCID

Affiliation:

1. Department of Internal Medicine, Jeonbuk National University Medical School, Jeonju-si 54907, Republic of Korea

2. Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute, Jeonbuk National University Hospital, 634-18 Keuman-dong, Dukjin-gu, Jeonju-si 54907, Republic of Korea

3. Department of Radiation Oncology, Jeonbuk National University Medical School, Jeonju-si 54907, Republic of Korea

4. Research Center, Cancer Breaker, Yongin-si 16942, Republic of Korea

5. Cancer Genomic Research Institute, Clinomics, Chungju-si 28161, Republic of Korea

Abstract

Gastric cancer is the fifth most common disease in the world and the fourth most common cause of death. It is diagnosed through esophagogastroduodenoscopy with biopsy; however, there are limitations in finding lesions in the early stages. Recently, research has been actively conducted to use liquid biopsy to diagnose various cancers, including gastric cancer. Various substances derived from cancer are reflected in the blood. By analyzing these substances, it was expected that not only the presence or absence of cancer but also the type of cancer can be diagnosed. However, the amount of these substances is extremely small, and even these have various variables depending on the characteristics of the individual or the characteristics of the cancer. To overcome these, we collected methylated DNA fragments using MeDIP and compared them with normal plasma to characterize gastric cancer tissue or patients’ plasma. We attempted to diagnose gastric cancer using the characteristics of cancer reflected in the blood through the cancer tissue and patients’ plasma. As a result, we confirmed that the consistency of common methylated fragments between tissue and plasma was approximately 41.2% and we found the possibility of diagnosing and characterizing cancer using the characteristics of the fragments through SFR and 5′end-motif analysis.

Funder

Jeonbuk National University Hospital

Publisher

MDPI AG

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