TITLE:
Construction and Validation of a Noninvasive Screening Strategy for Colorectal Cancer Based on an Integrated Model of Inflammation, Metabolism, and Anemia
AUTHORS:
Guinian Du, Jianbo Ye, Qiaoling Huang, Jingyue Zhang, Lijuan Wu, Yun Zhang
KEYWORDS:
Colorectal Cancer, Noninvasive Screening, Inflammatory Indexes, Metabolic Parameters, Anemia, Prediction Model
JOURNAL NAME:
American Journal of Molecular Biology,
Vol.15 No.3,
June
6,
2025
ABSTRACT: Objective: To construct and validate a noninvasive screening strategy for colorectal cancer based on an integrated model of inflammation, metabolism, and anemia. Methods: The clinical data of 671 patients with colorectal cancer (colorectal cancer group) and 420 healthy physical examination subjects (healthy control group) in Guigang People’s Hospital from 2020 to 2024 were retrospectively analyzed. Data of tumor markers (CEA, CA19-9), blood routine, inflammatory indexes (AISI, SIRI, PLR), liver and kidney functions, etc. of the two groups were collected. A prediction model was constructed through multivariate logistic regression analysis, and the efficacy of the model was evaluated by using the receiver operating characteristic (ROC) curve and calibration curve. Results: There were significant differences between the colorectal cancer group and the healthy control group in gender, age, CEA, CA19-9, blood routine indexes (WBC, NEUT#, LYMPH#, MONO#, RBC, HGB, PLT), inflammatory indexes (AISI, SIRI, PLR, HGB standardized value), and liver and kidney function indexes (ALT, ALP, TP, ALB, GLB, A/G, CRE, UA) (P Conclusion: The noninvasive screening strategy based on the integrated model of inflammation, metabolism, and anemia has a high diagnostic value for colorectal cancer and can be used as a preliminary screening tool before colonoscopy.