Wang X, Zhang JY, Zheng ZQ, Wang T, Piao MY, Liu H, Liu J, Liu WT. Value of combined detection of IFOBT, tumor markers, and inflammatory markers in predicting occurrence of advanced colorectal adenoma.
Shijie Huaren Xiaohua Zazhi 2021;
29:347-355. [DOI:
10.11569/wcjd.v29.i7.347]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND
At present, there is a lack of effective, non-invasive screening tests for colorectal precancerous lesions. Identification of high-risk groups and multi-biomarker detection have become the trend of cancer and precancerous lesion screening. Inflammatory markers have been widely used in the diagnosis and prognosis of various tumors, but there are few studies on their diagnostic value in precancerous lesions.
AIM
To explore the predictive value of the general characteristics, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), CEA, CA199, and immunochemical fecal occult blood testing (IFOBT) in the occurrence of advanced colorectal adenoma.
METHODS
Two hundred and ninety-five cases of advanced colorectal adenomas confirmed by pathology and electronic colonoscopy at our hospital from 2014 to 2018 were retrospectively analyzed, and 448 cases of non-advanced adenomas in the same period were selected as a control group. The general clinical data of the patients, including basic characteristics (gender and age), living habits (smoking and drinking), and past history of disease (hypertension, coronary heart disease, diabetes), history of surgery (history of cholecystectomy or appendectomy), and laboratory examinations (NLR, PLR, CEA, CA199, and IFOBT) were collected. Measurement data were compared using t-test or Mann-Whitney U test, and count data were compared using χ2 test. Statistically significant variables were included in binary logistic regression analysis. ROC curve was drawn to evaluate the predictive value of related indexes in the occurrence of advanced colorectal adenoma.
RESULTS
Multivariate logistic regression analysis demonstrated that age (odds ratio [OR] = 1.047, 95% confidence interval [CI]: 1.028-1.066, P = 0.000), smoking (OR = 1.880, 95%CI: 1.250-2.826, P = 0.002), diabetes (OR = 2.073, 95CI%: 1.216-3.535, P=0.007), previous cholecystectomy (OR = 9.206, 95CI%: 2.904-29.181, P = 0.000), IFOBT (OR = 7.681, 95%CI: 4.585-12.869, P = 0.000), CA199 (OR = 1.039, 95%CI: 1.018-1.059, P = 0.000), and NLR (OR = 1.706, 95%CI: 1.388-2.097, P = 0.000) were independent factors for advanced colorectal adenoma. ROC analysis showed that the areas under the ROC curves (AUCs) of IFOBT, CA199, and NLR in predicting advanced colorectal adenoma were 0.644 (95%CI: 0.602-0.686), 0.639 (95%CI: 0.598-0.679), and 0.645 (95%CI: 0.605-0.685), respectively. The optimal cutoff values for NLR and CA199 were 2.04 and 7.87 U/mL, respectively. The sensitivity and specificity of IFOBT, CA199, and NLR in predicting advanced colorectal adenoma were 34.6% and 94.2%, 53.9% and 66.1%, and 50.2% and 71.8%, respectively. The AUC of combination of the three biomarkers for the diagnosis of advanced adenoma was 0.752 (95%CI: 0.716-0.788), with a sensitivity of 52.9%and specificity of 82.8%. In the subgroup analysis, there were significant differences between the IFOBT(+) subgroup and IFOBT(-) subgroups with regard to tumor location (P = 0.048), diameter (P = 0.000), and differentiation(P = 0.000). There were also significant differences between the low NLR (< 2.04) subgroup and high NLR (≥ 2.04) subgroup with regard to gender (P = 0.004), tumor diameter (P = 0.028), and tumor differentiation (P = 0.000).
CONCLUSION
Advanced colorectal adenoma is associated with advanced age, smoking, diabetes, and previous cholecystectomy, and more attention should be paid to populations with these risk factors. IFOBT, NLR, and CA199 have appreciated diagnostic value for advanced colorectal adenoma, with the combination of all three having the highest diagnostic value.
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