Discovery and Validation of Methylation Signatures in Circulating Cell-Free DNA for the Detection of Colorectal Cancer.
Zhiping LongYu GaoZhen HanHeli YuanYue YuBing PeiYanjie JiaJingyu YeYing ShiMin ZhangYaShuang ZhaoDi WuFan WangPublished in: Biomolecules (2024)
This study was conducted with the primary objective of assessing the performance of cfDNA methylation in the detection of colorectal cancer (CRC). Five tumor tissue, 20 peripheral blood leucocyte, and 169 cfDNA samples were collected for whole-genome bisulfite sequencing (WGBS) analysis. Bioinformatic analysis was conducted to identify differentially methylated regions (DMRs) and their functional characteristics. Quantitative methylation-specific PCR (qMSP) was used to validate the methylation levels of DMRs in the tissues and leucocytes. cfDNA samples from CRC patients and healthy controls were used to evaluate the performance of the DMR analysis. WGBS analysis revealed a decrease in DNA methylation levels in the CpG context in CRC tumor tissues compared with adjacent normal tissues. A total of 132 DMRs in cfDNA were identified as potential markers for diagnosing CRC. In a cohort of 95 CRC patients and 74 healthy controls, a combination of the three DMRs ( DAB1 , PPP2R5C , and FAM19A5 ) yielded an AUC of 0.763, achieving 64.21% sensitivity and 78.38% specificity in discriminating CRC patients from healthy controls. This study provides insights into DNA methylation patterns in CRC and identifies a set of DMRs in cfDNA with potential diagnostic value for CRC. These DMRs hold promise as biomarkers for CRC detection, offering promise for non-invasive CRC diagnosis. Further research is warranted to validate these findings in larger cohorts.
Keyphrases
- dna methylation
- end stage renal disease
- genome wide
- gene expression
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- peripheral blood
- single cell
- high resolution
- risk assessment
- loop mediated isothermal amplification
- patient reported outcomes
- patient reported
- high throughput
- copy number
- artificial intelligence
- quantum dots