Evidence map›Paper›PMID 40109656›Full record

ArticleJournal of inflammation research2025

Robust Predictive Performance of MLPAS and CCMLP for Clinical Outcome and Risk Stratification in Patients with Colorectal Cancer.

Qiu-Ying Ye, Yuan-Yuan Wang, Zhi-Jie Wang, Min Lu, Hong-Xin Peng, Xin Wang, Xue-Xin Cheng, Hou-Qun Ying

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Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qiu-Ying Ye *Department 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.
Yuan-Yuan Wang *Department 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.
Zhi-Jie Wang *Department 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.
Min LuDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, People's Republic of China.
Hong-Xin PengDepartment of Clinical Laboratory, Nanjing First Hospital, Nanjing, 210006, People's Republic of China.
Xin WangDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000, People's Republic of China.
Xue-Xin ChengDepartment 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.ORCID 0000-0003-2241-2535
Hou-Qun YingDepartment 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.ORCID 0000-0003-3858-4761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is no recognized biomarker is recommended to monitor or predict the prognosis of colorectal cancer (CRC) patients with negative detection of carcinoembryonic antigen (CEA) or carbohydrate antigen 19-9 (CA19-9) and to classify high recurrence-risk cases. Methods: Discovery and two-stage validation cohorts, which included 2111 radically resected patients with stage II-III CRC, were enrolled in this study. We detected preoperative peripheral monocyte, platelet, albumin (Alb), pre-albumin (pAlb), CEA, and CA19-9 and investigated the prognostic and risk-stratified roles of twelve new inflammatory biomarkers in the three cohorts. Results: In our study, monocyte-to-pAlb ratio (MPAR), monocyte-to-lymphocyte -to-Alb ratio (MLAR), monocyte-to-lymphocyte-to-pAlb ratio (MLPAR), monocyte- to-pAlb score (MPAS), lymphocyte-to-monocyte-Alb score (MLAS), lymphocyte-to monocyte-pAlb score (MLPAS), and platelet-to-lymphocyte-Alb score (PLAS) were significantly associated with both RFS and OS in three cohorts. MLPAS showed the best performance in predicting RFS and OS, and it was related to right-tumor location and significant cancer burden (≥5cm) in the overall population. Moreover, MLPAS is a robust prognostic biomarker in subgroups stratified by CEA or CA19-9. Patients with scores zero and two of the CEA-CA19-9-MLPAS score (CCMLP) showed the lowest and highest recurrence and death rates, respectively, and significant survival differences were observed between them. Conclusion: MLPAS is an optimal, independent, and robust prognostic biomarker in the stage II-III CRC population, especially with negative CEA or CA19-9. The CCMLP could effectively classify high recurrence-risk patients who require more focus, monitoring, and treatment for the clinic.

Indexed as

CEA-CA19-9-MLPAS scorecolorectal cancerinflammationlymphocyte to monocyte-pre-albumin scoreprognosis

Identifiers

PMID40109656
PMCPMC11921802

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