Dataset Information

Prognostic role of lymphocyte-to-monocyte ratio in pancreatic neuroendocrine neoplasms.

ABSTRACT: OBJECTIVES:Systemic inflammation markers have been demonstrated to be associated with prognosis in various tumors. In this study, we aimed to assess the value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index and the counts of lymphocyte, monocyte and neutrophil in predicting prognosis among patients with resected pancreatic neuroendocrine neoplasms (pNENs). METHODS:A total of 174 patients were included into study. Univariate and multivariate analyses were performed to evaluate the predictive roles of inflammation markers for relapse-free survival (RFS) and overall survival (OS) in pNEN patients. RESULTS:The optimal cut-off values of NLR, LMR and lymphocyte count were 1.9, 5.0 and 1.4 ×109/L determined by the X-tile software. RFS was found to be significantly longer in patients with NLR ? 1.9 (P = 0.041), LMR > 5.0 (P < 0.001) and lymphocyte count > 1.4 ×109/L (P = 0.002) in comparison to those with NLR > 1.9, LMR ? 5.0 and lymphocyte count ? 1.4 ×109/L, respectively. Multivariate analysis revealed LMR (hazard ratio 0.30, 95% confidence interval 0.11-0.85, P = 0.023) was an independent predictor for RFS, but not NLR or lymphocyte count. For long-term survival analysis, patients with NLR ? 1.9 (P = 0.016) were found to be associated with favorable OS, but NLR was not an independent factor validated by multivariate analysis. CONCLUSIONS:Preoperative LMR is an independent systemic inflammation marker to predict relapses in pNEN patients who underwent curative resections, whose clinical value needs to be verified in further large sample-based prospective studies.

SUBMITTER: Zhou W

PROVIDER: S-EPMC7159258 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Prognostic role of lymphocyte-to-monocyte ratio in pancreatic neuroendocrine neoplasms.

Zhou Wentao W Kuang Tiantao T Han Xu X Chen Wenqi W Xu Xuefeng X Lou Wenhui W Wang Dansong D

Endocrine connections 20200401 4

<h4>Objectives</h4>Systemic inflammation markers have been demonstrated to be associated with prognosis in various tumors. In this study, we aimed to assess the value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index and the counts of lymphocyte, monocyte and neutrophil in predicting prognosis among patients with resected pancreatic neuroendocrine neoplasms (pNENs).<h4>Methods</h4>A total of 174 patients ...[more]

PMID: 32163917

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Project description:AimNeutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), or monocyte-lymphocyte ratio (MLR) has been shown to be related to the poor prognosis of cervical cancer, ovarian cancer, breast cancer, and other malignant tumors, but their role in predicting the prognosis of endometrial cancer is still controversial. Therefore, we conducted this meta-analysis to evaluate the effectiveness of NLR more accurately, PLR, or MLR in predicting the prognosis of endometrial cancer (EC).MethodsThis review systematically searched for relevant publications in databases of the Cochrane Library, PubMed, EMBASE, CNKI, WanFang, VIP, and CBM. Pooled hazard ratios (HR) with 95% confidence intervals (95% CI) were determined and used to explore the association between inflammatory biomarkers (NLR, PLR, and MLR) and overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) in a random-effects model. We also conducted subgroup analysis and publication bias in this meta-analysis. Stata 12.0 was used for statistical analysis.ResultsThis meta-analysis contained 14 eligible studies including 5,274 patients. Our results showed that NLR or PLR was associated with OS [NLR: HR, 2.51; 95% CI, 1.70-3.71; p <0.001 in univariate analysis (Ua); HR, 1.87; 95% CI, 1.34-2.60; p <0.001 in multivariate analysis (Ma); PLR: HR, 2.50; 95% CI, 1.82-3.43; p <0.001 in Ua; HR, 1.86; 95% CI, 1.22-2.83; p = 0.004 in Ma], but MLR was not associated with OS (HR, 1.44; 95% CI, 0.70-2.95; p = 0.325 in Ua; HR, 1.01; 95% CI, 0.39-2.60; p =0.987 in Ma). A further subgroup analysis found that the correlations were not affected by race, cutoff value, sample size, or treatment. Our meta-analysis showed that NLR or PLR was associated with DFS (NLR: HR, 2.50; 95% CI, 1.38-4.56; p =0.003 in Ua; HR, 2.06; 95% CI, 1.26-3.37, P =0.004 in Ma; PLR: HR, 1.91; 95% CI, 1.30-2.81; p = 0.001 in Ua), and NLR was associated with PFS only in the univariate analysis (HR, 1.71; 95% CI, 1.04-2.81; p =0.035 in Ua; HR, 1.79; 95% CI, 0.65-4.89; P =0.257 in Ma), but MLR was not associated with DFS (HR, 0.36; 95% CI, 0.03-4.13; p =0.409 in Ua).ConclusionsOur results indicated that pretreatment NLR and PLR were biomarkers of poor prognosis in patients with endometrial cancer. The results indicated that NLR or PLR was associated with OS and disease-free survival DFS, and NLR was associated with PFS only in univariate analysis, but MLR was not associated with OS or DFS.

Project description:BackgroundThe preoperative peripheral blood neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR) have been reported to be associated with the prognosis of various cancers but are always discussed separately. The aim of this study is to bring the combination of NLR, PLR and MLR into the prognostic assessment system of endometrial cancer (EC) and establish a nomogram to provide an objective prediction model for clinical decisions.MethodsA total of 1111 patients with EC who had accepted surgical treatment during 2013-2017 were involved in the analysis. Their NLR, PLR, and MLR levels were obtained from a routine blood examination within 2 weeks before operation. Receiver operating characteristic curve (ROC) analysis was performed to determine optimal cutoffs. Chi-square tests analysed the associations of the ratios with other clinicopathological variables. The prognostic value was indicated by overall survival (OS) via Cox proportional hazards models and Kaplan-Meier analysis. R software was used to establish the nomogram based on the combination of NLR, PLR, MLR and other clinicopathological factors.ResultsThe median follow-up period was 40 months, and the median age was 56. The enrolled patients were stratified by cutoffs of 2.14 for NLR, 131.82 for PLR and 0.22 for MLR. Multivariate analyses demonstrated that high NLR over 2.14 (HR = 2.71, 95%CI = 1.83-4.02, P<0.001), high PLR over 131.82 (HR = 2.75, 95%CI = 1.90-3.97, P<0.001), and high MLR over 0.22 (HR = 1.72, 95%CI = 1.20-2.45, P = 0.003) were significantly associated with worse OS. The combined indicator, high NLR + high PLR + high MLR (HR = 4.34, 95%CI = 2.54-7.42, P<0.001), showed the highest prognostic value. The Harrell's concordance index of the nomogram was 0.847 (95% CI = 0.804-0.890), showing good discrimination and calibration of this model.ConclusionThe combination of NLR, PLR, and MLR is a superior prognostic factor of EC. The nomogram involving the combination of NLR, PLR, MLR and other clinicopathological factors is recommended to predict OS for EC patients clinically.

Dataset Information

Prognostic role of lymphocyte-to-monocyte ratio in pancreatic neuroendocrine neoplasms.

Publications

Prognostic role of lymphocyte-to-monocyte ratio in pancreatic neuroendocrine neoplasms.

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