DNA methylation-based diagnostic, prognostic, and predictive biomarkers in colorectal cancer

DNA甲基化 表观遗传学 生物标志物 甲基化 结直肠癌 癌变 生物 癌症 癌症生物标志物 生物标志物发现 计算生物学 生物信息学 医学 癌症研究 肿瘤科 基因 遗传学 基因表达 蛋白质组学
作者
Dalma Müller,Balázs Győrffy
出处
期刊:Biochimica Et Biophysica Acta - Reviews On Cancer [Elsevier BV]
卷期号:1877 (3): 188722-188722 被引量:165
标识
DOI:10.1016/j.bbcan.2022.188722
摘要

DNA methylation is an epigenetic mechanism regulating gene expression. Changes in DNA methylation were suggested to be useful biomarkers for diagnosis, and for the determination of prognosis and treatment response. Here, we provide an overview of methylation-based biomarkers in colorectal cancer. First, we start with the two methylation-based diagnostic biomarkers already approved for colorectal cancer, SEPT9 and the combination of NDRG4 and BMP3. Then, we provide a list-based overview of new biomarker candidates depending on the sample source including plasma, stool, urine, and surgically removed tumor tissues. The most often identified markers like SDC2, VIM, APC, MGMT, SFRP1, SFRP2, and NDRG4 have distinct functions previously linked to tumor progression. Although numerous studies have identified tumor-specific methylation changes, most of these alterations were observed in a single study only. The lack of validation in independent samples means low reproducibility and is a major limitation. The genome-wide determination of methylation status (methylome) can provide data to solve these issues. In the third section of the review, methylome studies focusing on different aspects related to CRC, including precancerous lesions, CRC-specific changes, molecular subtypes, aging, and chemotherapy response are summarized. Notably, techniques simultaneously analyzing a large set of regions can also uncover epigenetic regulation of genes which have not yet been associated with tumorigenesis previously. A remaining constraint of studies published to date is the low patient number utilized in these preventing the identification of clinically valuable biomarker candidates. Either future large-scale studies or the integration of already available methylome-level data will be necessary to uncover biomarkers sufficiently robust for clinical application.
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