Literature DB >> 30842131

A High Monocyte-to-Lymphocyte Ratio Predicts Poor Prognosis in Patients with Advanced Gallbladder Cancer Receiving Chemotherapy.

Young Hoon Choi1,2, Jae Woo Lee3, Sang Hyub Lee4, Jin Ho Choi1, Jinwoo Kang5, Ban Seok Lee6, Woo Hyun Paik1, Ji Kon Ryu1, Yong-Tae Kim1.   

Abstract

BACKGROUND: Monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) have been reported to be prognostic markers in various cancers. However, the prognostic value of these inflammatory biomarkers, particularly MLR, in gallbladder cancer remains to be determined.
METHODS: From 2005 to 2016, 178 patients with histologically confirmed gallbladder adenocarcinoma who underwent palliative chemotherapy were queried in this study. The association between survival and various clinical and laboratory variables, including MLR, NLR, and PLR, was investigated. The optimal cutoff values for MLR, NLR, and PLR were determined using the maxstat package of R.
RESULTS: Patients with high MLR (>0.24) were expected to have shorter progression-free survival [PFS; hazard ratio (HR), 2.100; 95% confidence interval (CI), 1.397-3.157; P < 0.001] and overall survival (OS; HR, 2.533; 95% CI, 1.664-3.856; P < 0.001) compared with patients with low MLR (≤0.24). In multivariate Cox model, CA 19-9, stage, and MLR were independent factors for PFS. MLR was also an independent predictor of OS along with PLR, age, and CA 19-9, whereas NLR was not significantly associated with OS. Time-dependent receiver operating characteristic (ROC) analysis showed that the area under the curve of MLR for predicting OS was greater than that of NLR and PLR at most time points.
CONCLUSIONS: MLR independently predicts survival in gallbladder cancer patients undergoing chemotherapy. Future prospective studies are needed to validate its value as a prognostic biomarker. IMPACT: MLR is an inexpensive and easily available biomarker for predicting prognosis in patients with gallbladder cancer undergoing chemotherapy. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 30842131     DOI: 10.1158/1055-9965.EPI-18-1066

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  13 in total

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