Application of Fecal SDC2 Gene Methylation Detection Combined with FOB,CEA and CA199 Detection in Early Screening of Colorectal Cancer
Objective To explore the application value of fecal SDC2 gene methylation detection com-bined with fecal occult blood(FOB),carcinoembryonic antigen(CEA)and carbohydrate antigen 199(CA199)detection in early screening of colorectal cancer.Methods Fecal SDC2 gene methylation detec-tion was used in 358 fecal samples collected in our hospital,and the results were analyzed in depth.Total 160 patients meeting the enrollment conditions were further selected and divided into the healthy control group,the disease control group,the precancerous group and colorectal cancer group,with 40 cases in each group.Serum levels of CEA,CA199 and FOB test were examined in all patients,and the diagnostic effica-cy of each index was evaluated statistically.Results Compared with the healthy control group and dis-ease control group,the fecal SDC2 gene methylation level,positive rate of FOB and the expression levels of CEA and CA199 in the colorectal cancer group and precancerous group were significantly increased(P＜0.05).Among them,the positive rate of fecal SDC2 gene methylation detection in the colorectal cancer group was the highest(85.0％),followed by the FOB test(72.5％).The two indicators were significantly higher than the positive rates of CEA and CA199.When the fecal SDC2 gene screening was carried out for people with different characteristics,the positive rate was associated with the age,symptoms and geograph-ical origin of the subjects,but not with gender.Conclusion The fecal SDC2 gene methylation is a new type of detection method that is simple,fast,noninvasive and highly sensitive.It can greatly improve the di-agnosis rate of early colorectal cancer and precancerous lesions,and can show better diagnostic value when combined with the conventional screening.It has a wide application prospect and important value in the early screening of colorectal cancer.
Colorectal cancerEarly cancer screeningSDC2 geneCEACA199
NETL
NSTL
万方数据
