The Risk of Colorectal Cancer Associated with Lipid profile

Abstract

AbstractBackground The relationship between blood lipids and the risk of colorectal cancer (CRC) remains unclear. Methods In this study, we assessed the diagnostic performance of serum lipids in CRC patients. In this study, 206 CRC patients, 90 ulcerative colitis (UC) patients and 190 healthy controls (HC) were enrolled retrospectively. Kruskal-Wallis H test and Mann-Whitney U test were applied to compare continuous variables. Spearman analysis was used to test correlation. The independent variables for CRC were identified using univariate and multivariate logistic hazard models. Based on the results of the multivariate analysis, a prognostic nomogram was constructed. The ROC curves, calibration curves, and decision curves were used to evaluate the efficiency of the nomogram in prediction. Results The HDL-C level was significantly lower in CRC group than in HC group. The CRC group had a higher level of ApoB compared with UC group. The Lp(a) levels were significantly higher in CRC group than in HC group. Multivariate analysis results showed that ApoA1, HDL-C, ApoB and Lp(a) were independent risk factors for CRC. The nomogram created by ApoA1, HDL-C, ApoB and Lp(a) was more accurate for the prediction of CRC than each factor. The ROC curves, calibration curves and DCA curves of the nomogram showed good discriminative ability for CRC. The serum lipids were not related to TNM stage and tumor differentiation. Conclusions The risk of CRC significantly increased with decreased HDL-C and ApoA1 and increased ApoB and Lp(a). We established a nomogram for CRC prediction based on HDL-C, ApoA1, ApoB and Lp(a), which is beneficial for early diagnosis of CRC.