Epigenome-Wide Association Analysis of Differentially Methylated Signals in Blood Samples of Patients with Non-Small-Cell Lung Cancer

Hong, Yoonki; Choi, Hye-Mi; Cheong, Hyun Sub; Shin, Hyoung Doo; Choi, Chang Min; Kim, Woo Jin

doi:10.3390/jcm8091307

Open AccessArticle

Epigenome-Wide Association Analysis of Differentially Methylated Signals in Blood Samples of Patients with Non-Small-Cell Lung Cancer

by

Yoonki Hong

¹

,

Hye-Mi Choi

²,

Hyun Sub Cheong

³,

Hyoung Doo Shin

^3,4,

Chang Min Choi

^5,*,†

and

Woo Jin Kim

^1,*,†

¹

Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon 200-701, Korea

²

Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon 200-701, Korea

³

Department of Genetic Epidemiology, SNP Genetics, Inc., Sogang University, Seoul, 04107, Korea

⁴

Department of Life Science, Sogang University, Seoul 121-742, Korea

⁵

Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea

^*

Authors to whom correspondence should be addressed.

^†

These authors contributed equally to this work.

J. Clin. Med. 2019, 8(9), 1307; https://doi.org/10.3390/jcm8091307

Submission received: 29 July 2019 / Revised: 22 August 2019 / Accepted: 23 August 2019 / Published: 25 August 2019

(This article belongs to the Section Respiratory Medicine)

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Abstract

Lung cancer is a common form of cancer and the leading cause of cancer-related deaths worldwide. Early diagnosis using noninvasive biomarkers may play an important role in increasing the survival rate of patients with lung cancer. Biomarkers of DNA methylation in blood samples may improve the early diagnosis of lung cancer. Here, we used peripheral blood samples obtained from 150 patients diagnosed with non-small-cell lung cancer (NSCLC) and 150 healthy controls. The latter were selected by frequency matching with the 150 patients with NSCLC, based on age, sex, and smoking status. Genome-wide methylation profiles were obtained using a MethylationEPIC BeadChip Kit, which covers the 850k bp cytosine–phosphate–guanine site. This analysis showed two significant differentially methylated changes (cg12169243 [DPH6] and cg25429010 [IMP3]) associated with NSCLC in current smokers, six changes (cg09245319, cg17183999 [USP7], cg06366994 [CPE], cg24992236 [MEG9], cg22144719, and cg22448179 [epidermal growth factor receptor]) associated with epidermal growth factor receptor mutation in patients with adenocarcinoma, and four changes (cg25021476 [RSL24D1], cg04989085 [FAM113B], cg20905681 [CKAP4], and cg26379694) associated with advanced-stage NSCLC compared with stage I NSCLC. The validation of these DNA methylation changes and further research on the related genes may help develop easily accessible biomarkers for the early diagnosis or prognosis of NSCLC.

Keywords: non-small-cell lung cancer; DNA methylation; biomarker

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MDPI and ACS Style

Hong, Y.; Choi, H.-M.; Cheong, H.S.; Shin, H.D.; Choi, C.M.; Kim, W.J. Epigenome-Wide Association Analysis of Differentially Methylated Signals in Blood Samples of Patients with Non-Small-Cell Lung Cancer. J. Clin. Med. 2019, 8, 1307. https://doi.org/10.3390/jcm8091307

AMA Style

Hong Y, Choi H-M, Cheong HS, Shin HD, Choi CM, Kim WJ. Epigenome-Wide Association Analysis of Differentially Methylated Signals in Blood Samples of Patients with Non-Small-Cell Lung Cancer. Journal of Clinical Medicine. 2019; 8(9):1307. https://doi.org/10.3390/jcm8091307

Chicago/Turabian Style

Hong, Yoonki, Hye-Mi Choi, Hyun Sub Cheong, Hyoung Doo Shin, Chang Min Choi, and Woo Jin Kim. 2019. "Epigenome-Wide Association Analysis of Differentially Methylated Signals in Blood Samples of Patients with Non-Small-Cell Lung Cancer" Journal of Clinical Medicine 8, no. 9: 1307. https://doi.org/10.3390/jcm8091307

APA Style

Hong, Y., Choi, H.-M., Cheong, H. S., Shin, H. D., Choi, C. M., & Kim, W. J. (2019). Epigenome-Wide Association Analysis of Differentially Methylated Signals in Blood Samples of Patients with Non-Small-Cell Lung Cancer. Journal of Clinical Medicine, 8(9), 1307. https://doi.org/10.3390/jcm8091307

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Epigenome-Wide Association Analysis of Differentially Methylated Signals in Blood Samples of Patients with Non-Small-Cell Lung Cancer

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