| Literature DB >> 27672285 |
Ru Chen1, Lisa A Lai1, Teresa A Brentnall1, Sheng Pan1.
Abstract
Patients with extensive ulcerative colitis (UC) of more than eight years duration have an increased risk of colorectal cancer. Molecular biomarkers for dysplasia and cancer could have a great clinical value in managing cancer risk in these UC patients. Using a wide range of molecular techniques - including cutting-edge OMICS technologies - recent studies have identified clinically relevant biomarker candidates from a variety of biosamples, including colonic biopsies, blood, stool, and urine. While the challenge remains to validate these candidate biomarkers in multi-center studies and with larger patient cohorts, it is certain that accurate biomarkers of colitis-associated neoplasia would improve clinical management of neoplastic risk in UC patients. This review highlights the ongoing avenues of research in biomarker development for colitis-associated colorectal cancer.Entities:
Keywords: Biomarker; Colitis; Colorectal cancer; Dysplasia; Non-progressor; Progressor; Surveillance
Mesh:
Substances:
Year: 2016 PMID: 27672285 PMCID: PMC5028804 DOI: 10.3748/wjg.v22.i35.7882
Source DB: PubMed Journal: World J Gastroenterol ISSN: 1007-9327 Impact factor: 5.742
Figure 1Application of biomarkers in ulcerative colitis surveillance protocol. 1Management of LGD is dependent on the clinician and patient choices. HGD: High-grade dysplasia; CRC: Colorectal cancer; LGD: Low-grade dysplasia.
Summary of recent studies on biomarker developments for ulcerative colitis-associated cancer
| Blood | Protein | p53 | [58] |
| Colon tissue | DNA | Chromosomal instability | [15,16,18-20,30-35] |
| IBD specific mutation: SOX9, EP300, NRG1, and IL16 | [36] | ||
| DNA methylation | ER, MYOD, p16, and CSPG2 | [40] | |
| FOXE1, SYNE1 | [41] | ||
| EYA4 | [27,42] | ||
| RUNX3, MINT1, and COX-2 | [43] | ||
| p14 | [44] | ||
| BVES | [45] | ||
| microRNA | miR-143 and miR-145 | [46] | |
| Decrease of 3 microRNAs (miR-192, miR-375, and miR-422b), upregulation of 8 microRNAs (miR-16, miR-21, miR-23a, miR-24, miR-29a, miR-126, miR-195, and Let-7f) | [47] | ||
| miR-21 and miR-155 | [48] | ||
| Protein | miR-26b | [50] | |
| p53 and CHGA | [51] | ||
| p53 and AMACR | [52] | ||
| Bcl-xl | [53] | ||
| PDCD4 | [54] | ||
| COX | [55] | ||
| 8-NG and 8-oxodG | [56] | ||
| RNA | TRAP1 | [29,57] | |
| CCND1, SERPINB6, PAP, IL8, and NOS2A | [37] | ||
| Stool | ACSL1, BIRC3, CLC, CREM, ELTD1, FGG, S100A9, THBD, and TPD52L1 | [38] | |
| A panel of 20 genes (including cancer genes CYP27B1, RUNX3, SAMSN1, EDIL3, NOL3, CXCL9, ITGB2, and LYN) | [39] | ||
| DNA methylation | VIM, EYA4, BMP3, and NDRG4 | [63] | |
| Metabolites | Buryrate, acetate, methylamine, and trimethylamine | [62] | |
| Protein | Calprotectin and lactoferrin | [61] | |
| Urine | Metabolites | Prostaglandin-E | [59] |
| Protein | MMP-2 and MMP-2/NGAL | [60] |