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Robust Predictive Performance of MLPAS and CCMLP for Clinical Outcome and Risk Stratification in Patients with
Qiu-Ying Ye1,2,3, Yuan-Yuan Wang1, Zhi-Jie Wang1
1Department of Clinical Laboratory, Immunity and Inflammation Key Laboratory of Jiangxi Province, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, People's Republic of China.
New biomarkers like MLPAS can predict colorectal cancer (CRC) recurrence in patients with negative CEA or CA19-9. The CEA-CA19-9-MLPAS score (CCMLP) effectively identifies high-risk individuals for targeted monitoring and treatment.
Area of Science:
- Oncology
- Biomarker Discovery
- Cancer Prognostics
Background:
- Colorectal cancer (CRC) lacks reliable biomarkers for prognosis in patients with negative CEA or CA19-9.
- Current methods struggle to identify high recurrence-risk CRC cases.
Purpose of the Study:
- To identify and validate novel inflammatory biomarkers for predicting prognosis in stage II-III CRC.
- To assess the role of these biomarkers in risk stratification, particularly in patients with negative CEA or CA19-9.
Main Methods:
- Utilized discovery and validation cohorts totaling 2111 radically resected stage II-III CRC patients.
- Measured preoperative peripheral monocyte, platelet, albumin (Alb), pre-albumin (pAlb), CEA, and CA19-9.
- Investigated twelve new inflammatory biomarkers for prognostic and risk-stratified roles.
Main Results:
- Several novel ratios and scores, including MLPAS, were significantly associated with RFS and OS.
- MLPAS demonstrated superior performance in predicting RFS and OS, correlating with tumor location and size.
- The CEA-CA19-9-MLPAS score (CCMLP) effectively stratified patients into low, intermediate, and high recurrence-risk groups.
Conclusions:
- MLPAS is an optimal, independent prognostic biomarker for stage II-III CRC, especially in CEA or CA19-9 negative cases.
- The CCMLP score can effectively classify high-risk CRC patients needing intensified clinical attention and management.
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