Screening of exon methylation biomarkers for colorectal cancer via LC-MS/MS strategy.
Qionglin HuangQingjin YangMingming MoXiaoxia YeJunjie ZhangLijian ZhangBin ChenJian LiChun CaiPublished in: Journal of mass spectrometry : JMS (2018)
The identification of biomarkers would be of benefit for the diagnosis and treatment of colorectal cancer. DNA methylation in specific genomic regions, which had shown strongly association with disease genotypes, was an effective indicator to reveal the occurrence and development of cancers. To screen out methylation biomarkers for colorectal cancer (CRC), genomic DNA was isolated from colorectal cancerous and corresponding cancer-adjacent tissues collected from 30 CRC patients and then bisulfite-converted. The exon regions of 5 targeted genes (CNRIP1, HIC1, RUNX3, p15, and SFRP2) were amplified by using nested polymerase chain reaction with specific primers, and the amplicon was purified and hydrolyzed. The methylation levels of these specific regions were detected by liquid chromatography tandem mass spectrometry (LC-MS/MS). The results showed that 5 targeted exon regions were successfully amplified and confirmed by sequencing. The methodological validations indicated that LC-MS/MS was highly sensitive and accurate. The methylation levels of CNRIP1 and RUNX3 were remarkably high in CRC tissues with statistical difference when compared with corresponding cancer-adjacent individuals, while that of HIC1, p15, and SFRP2 had no difference between 2 subjects. These findings supported CNRIP1 and RUNX3 as potential DNA methylation biomarkers for CRC diagnosis and treatment, and our LC-MS/MS approach exhibited great advantages in the identification of regional DNA methylation biomarkers.
Keyphrases
- dna methylation
- genome wide
- gene expression
- liquid chromatography tandem mass spectrometry
- copy number
- transcription factor
- papillary thyroid
- newly diagnosed
- risk assessment
- end stage renal disease
- ejection fraction
- single cell
- cancer therapy
- squamous cell
- simultaneous determination
- bioinformatics analysis
- human health
- prognostic factors
- patient reported outcomes
- circulating tumor cells
- mass spectrometry
- fluorescent probe
- liquid chromatography
- drug delivery
- single molecule