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

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ELSEVIER
DOI: 10.1016/j.bbcan.2022.188722

关键词

Diagnosis; Biomarker discovery; Stool; Plasma; Epigenetics; Methlyome; HumanMethylation450K; HumanMethylationEPIC

资金

  1. Ministry for Innovation and Technology in Hungary within Semmelweis University [2020-4.1.1.TKP2020, FIEK_16-1-2016-0005, 20182.1.17-TET-KR-00001, 2020-1.1.6-J OV.O-2021-00013]

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DNA methylation is an important mechanism regulating gene expression and can be used as biomarkers for diagnosis and prognosis of colorectal cancer. Some methylation-based diagnostic biomarkers have been approved, and there are also new candidate biomarkers. However, most of the methylation changes still need validation in independent samples.
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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