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Pretreatment Inflammatory Markers Predict Outcomes and Prognosis in Colorectal Cancer Patients With Synchronous Liver
Qingfang Li1, Linyan Chen1, Hongyu Jin1
1Department of Biotherapy, Cancer Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Clinical Medicine Insights. Oncology
|March 31, 2022
Summary
High lymphocyte-to-monocyte ratio (LMR) and low lactate dehydrogenase (LDH) levels predict better survival in patients with synchronous colorectal liver metastasis (CLM). These inflammatory markers can help predict prognosis for CLM patients.
Area of Science:
- Oncology
- Clinical Biomarkers
- Cancer Prognostics
Background:
- Pretreatment inflammatory markers are used to predict colorectal cancer prognosis.
- The predictive role of these markers, particularly lymphocyte-to-monocyte ratio (LMR), in synchronous colorectal liver metastasis (CLM) survival is under-explored.
- LMR is primarily studied in hematologic malignancies.
Purpose of the Study:
- To investigate the prognostic value of pretreatment inflammatory markers for survival in patients with synchronous CLM.
- To evaluate the association of LMR and lactate dehydrogenase (LDH) with progression-free survival (PFS) and overall survival (OS) in CLM patients.
Main Methods:
- Retrospective analysis of clinical and laboratory data from 196 patients with synchronous CLM.
- Univariate and multivariate analyses were conducted to assess various inflammatory biomarkers.
- Key markers analyzed included LMR, LDH, neutrophil-to-lymphocyte ratio (NLR), and carbohydrate antigen 19-9 (CA19-9).
Main Results:
- LMR and LDH were significantly associated with PFS and OS, respectively.
- Multivariate analysis confirmed LMR as an independent predictor of PFS.
- LMR and LDH emerged as significant independent predictors for OS in CLM patients.
Conclusions:
- Elevated LMR and decreased LDH levels correlate with improved survival outcomes in synchronous CLM.
- LMR is a valuable predictor of progression-free survival.
- LMR and LDH serve as reliable biomarkers for predicting prognosis in patients with synchronous CLM.

