Back to Search Start Over

Brush swab as a noninvasive surrogate for tissue biopsies in epigenomic profiling of oral cancer

Authors :
Chi T. Viet
Xinyu Zhang
Ke Xu
Gary Yu
Kesava Asam
Carissa M. Thomas
Nicholas F. Callahan
Coleen Doan
Paul C. Walker
Khanh Nguyen
Stephanie C. Kidd
Steve C. Lee
Anupama Grandhi
Clint T. Allen
Simon Young
James C. Melville
Jonathan W. Shum
Dan T. Viet
Alan S. Herford
Dylan F. Roden
Manuel L. Gonzalez
Jiang F. Zhong
Bradley E. Aouizerat
Source :
Biomarker Research, Vol 9, Iss 1, Pp 1-10 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background Oral squamous cell carcinoma (OSCC) has poor survival rates. There is a pressing need to develop more precise risk assessment methods to tailor clinical treatment. Epigenome-wide association studies in OSCC have not produced a viable biomarker. These studies have relied on methylation array platforms, which are limited in their ability to profile the methylome. In this study, we use MethylCap-Seq (MC-Seq), a comprehensive methylation quantification technique, and brush swab samples, to develop a noninvasive, readily translatable approach to profile the methylome in OSCC patients. Methods Three OSCC patients underwent collection of cancer and contralateral normal tissue and brush swab biopsies, totaling 4 samples for each patient. Epigenome-wide DNA methylation quantification was performed using the SureSelectXT Methyl-Seq platform. DNA quality and methylation site resolution were compared between brush swab and tissue samples. Correlation and methylation value difference were determined for brush swabs vs. tissues for each respective patient and site (i.e., cancer or normal). Correlations were calculated between cancer and normal tissues and brush swab samples for each patient to determine the robustness of DNA methylation marks using brush swabs in clinical biomarker studies. Results There were no significant differences in DNA yield between tissue and brush swab samples. Mapping efficiency exceeded 90% across all samples, with no differences between tissue and brush swabs. The average number of CpG sites with at least 10x depth of coverage was 2,716,674 for brush swabs and 2,903,261 for tissues. Matched tissue and brush swabs had excellent correlation (r = 0.913 for cancer samples and r = 0.951 for normal samples). The methylation profile of the top 1000 CpGs was significantly different between cancer and normal samples (mean p-value = 0.00021) but not different between tissues and brush swabs (mean p-value = 0.11). Conclusions Our results demonstrate that MC-Seq is an efficient platform for epigenome profiling in cancer biomarker studies, with broader methylome coverage than array-based platforms. Brush swab biopsy provides adequate DNA yield for MC-Seq, and taken together, our findings set the stage for development of a non-invasive methylome quantification technique for oral cancer with high translational potential.

Details

Language :
English
ISSN :
20507771
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Biomarker Research
Publication Type :
Academic Journal
Accession number :
edsdoj.260f7bc1d90040bebd27e0254089dfb3
Document Type :
article
Full Text :
https://doi.org/10.1186/s40364-021-00349-x