Ontology highlight
ABSTRACT: Purpose
To investigate the association between CpG island methylator phenotype (CIMP) and the overall survival of sporadic colorectal cancer (CRC) in Northeast China.Methods
282 sporadic CRC patients were recruited in this study. We selected MLH1, MGMT, p16, APC, MINT1, MINT31, and RUNX3 as the CIMP panel markers. The promoter methylation was assessed by methylation sensitive high resolution melting (MS-HRM). Proportional hazards-regression models were fitted with computing hazard ratios (HR) and the corresponding 95% confidence intervals (95% CI).Results
12.77% (36/282) of patients were CIMP-0, 74.1% (209/282) of patients were CIMP-L, and 13.12% (37/282) of patients were CIMP-H. The five-year survival of the 282 CRC patients was 58%. There was significant association between APC gene promoter methylation and CRC overall survival (HR = 1.61; 95% CI: 1.05-2.46; P = 0.03). CIMP-H was significantly associated with worse prognosis compared to CIMP-0 (HR = 3.06; 95% CI: 1.19-7.89; P = 0.02) and CIMP-L (HR = 1.97; 95% CI: 1.11-3.48; P = 0.02), respectively. While comparing with the combine of CIMP-L and CIMP-0 (CIMP-L/0), CIMP-H also presented a worse prognosis (HR = 2.31; 95% CI: 1.02-5.24; P = 0.04).Conclusion
CIMP-H may be a predictor of a poor prognosis of CRC in Northeast China patients.
SUBMITTER: Li X
PROVIDER: S-EPMC4163374 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Li Xia X Hu Fulan F Wang Yibaina Y Yao Xiaoping X Zhang Zuoming Z Wang Fan F Sun Guizhi G Cui Bin-Bin BB Dong Xinshu X Zhao Yashuang Y
BioMed research international 20140828
<h4>Purpose</h4>To investigate the association between CpG island methylator phenotype (CIMP) and the overall survival of sporadic colorectal cancer (CRC) in Northeast China.<h4>Methods</h4>282 sporadic CRC patients were recruited in this study. We selected MLH1, MGMT, p16, APC, MINT1, MINT31, and RUNX3 as the CIMP panel markers. The promoter methylation was assessed by methylation sensitive high resolution melting (MS-HRM). Proportional hazards-regression models were fitted with computing hazar ...[more]