Abstract | BACKGROUND: METHODS: In this study, we analyzed LINE-1 hypomethylation levels in a well-characterized dataset of 317 primary HNSCC tissues and 225 matched pairs of normal mucosa tissues, along with five oral cavity cancer (OCC) circulating tumor DNA (ctDNA) samples using quantitative real-time methylation and unmethylation PCR. The analysis was performed according to various clinical characteristics and prognostic implications. RESULTS: The results demonstrated that LINE-1 hypomethylation levels were significantly higher in the HNSCC tissues than in corresponding normal tissues from the same individuals (P < 0.001). Univariate analysis revealed that high levels of LINE-1 hypomethylation were correlated with poor disease-free survival (DFS; log-rank test, P = 0.038), whereas multivariate analysis demonstrated that they were significant independent prognostic factor for DFS (hazard ratio: 2.10, 95% confidence interval: 1.02-4.36; P = 0.045). Moreover, samples with high LINE-1 hypomethylation levels exhibited the greatest decrease in 5-hydroxymethylcytosine (5-hmC) levels and increase in tumor-suppressor gene methylation index (P = 0.006 and P < 0.001, respectively). Further, ctDNA studies also showed that LINE-1 hypomethylation had high predictive ability in OCC. CONCLUSIONS: LINE-1 hypomethylation is associated with a higher risk of early OCC relapse, and is hence, a potential predictive biomarker for OCC. Furthermore, 5-hmC levels also exhibited predictive potential in OCC, based on their inverse correlation with LINE-1 hypomethylation levels. LINE-1 hypomethylation analysis, therefore, has applications in determining patient prognosis and real-time surveillance of disease recurrence, and could serve as an alternative method for OCC screening. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s40364-020-00235-y.
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Authors | Kiyoshi Misawa, Satoshi Yamada, Masato Mima, Takuya Nakagawa, Tomoya Kurokawa, Atsushi Imai, Daiki Mochizuki, Daichi Shinmura, Taiki Yamada, Junya Kita, Ryuji Ishikawa, Yuki Yamaguchi, Yuki Misawa, Takeharu Kanazawa, Hideya Kawasaki, Hiroyuki Mineta |
Journal | Biomarker research
(Biomark Res)
Vol. 8
Pg. 53
( 2020)
ISSN: 2050-7771 [Print] England |
PMID | 33110605
(Publication Type: Journal Article)
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Copyright | © The Author(s) 2020. |