Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

Aberrant Methylation of SLIT2 Gene in Plasma Cell-Free DNA of Non-Small Cell Lung Cancer Patients

Authors
Kim, Y.[Kim, Y.]Lee, B.B.[Lee, B.B.]Kim, D.[Kim, D.]Um, S.-W.[Um, S.-W.]Han, J.[Han, J.]Shim, Y.M.[Shim, Y.M.]Kim, D.-H.[Kim, D.-H.]
Issue Date
Jan-2022
Publisher
MDPI
Keywords
Biomarker; Lung cancer; Methylation; Plasma; SLIT
Citation
Cancers, v.14, no.2
Indexed
SCIE
SCOPUS
Journal Title
Cancers
Volume
14
Number
2
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/94665
DOI
10.3390/cancers14020296
ISSN
2072-6694
Abstract
This study aimed to understand aberrant methylation of SLITs genes as a biomarker for the early detection and prognosis prediction of non-small cell lung cancer (NSCLC). Methylation levels of SLITs were determined using the Infinium HumanMethylation450 BeadChip or pyrosequencing. Five CpGs at the CpG island of SLIT1, SLIT2 or SLIT3 genes were significantly (Bonferroni corrected p < 0.05) hypermethylated in tumor tissues obtained from 42 NSCLC patients than in matched normal tissues. Methylation levels of these CpGs did not differ significantly between bronchial washings obtained from 76 NSCLC patients and 60 cancer-free patients. However, methylation levels of SLIT2 gene were significantly higher in plasma cell-free DNA of 72 NSCLC patients than in that of 61 cancer-free patients (p = 0.001, Wilcoxon rank sum test). Prediction of NSCLC using SLIT2 methylation was achieved with a sensitivity of 73.7% and a specificity of 61.9% in a plasma test dataset (N = 40). A Cox proportional hazards model showed that SLIT2 hypermethylation in plasma cell-free DNA was significantly associated with poor recurrence-free survival (hazards ratio = 2.19, 95% confidence interval = 1.21–4.36, p = 0.01). The present study suggests that aberrant methylation of SLIT2 in plasma cell-free DNA is a valuable biomarker for the early detection of NSCLC and prediction of recurrence-free survival. However, further research is needed with larger sample size to confirm results. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Medicine > Department of Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher UM, SANG WON photo

UM, SANG WON
Medicine (Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE