Dataset Information

The Prognostic Impact of the Lymphocyte-to-Monocyte Ratio in Resected Pancreatic Head Adenocarcinoma.

ABSTRACT:

Objective

Although the prognostic significance of systematic inflammation-based scores, such as the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), and the prognostic nutritional index (PNI), has been explored in pancreatic cancers, few reports have investigated the lymphocyte-to-monocyte ratio (LMR). We aimed to retrospectively investigate the prognostic value of the preoperative LMR in patients with resectable pancreatic head cancer (PHC).

Methods

From 2005 to 2016, 165 patients underwent pancreatoduodenectomy for PHC. All samples of peripheral blood were collected within 2 weeks prior to surgery. The best cutoff values of the LMR for predicting survival were determined by using a minimum p value approach (cut-off value: 2.8). The clinicopathological features of LMR <2.8 (n = 25) and ≥2.8 (n = 140) were compared.

Results

Patients with LMR ≥2.8 showed significantly lower NLR and PLR, and significantly higher PNI. Levels of CEA and CA19-9 were similar, and the pathological findings were comparable between the groups. The overall survival of patients with LMR ≥2.8 (66.2% at 1 year) was superior to that of patients with LMR <2.8 (36.1% at 1 year, p = 0.015). Multivariate analysis identified LMR <2.8 (hazard ratio 1.72, 95% CI 1.02-2.89, p = 0.042), lymphatic and venous invasion and positive surgical margin as independent prognostic factors.

Conclusions

LMR may carry important prognostic information for patients with resectable PHC. Preoperative LMR may be considered for use in risk stratification for individual patients with PHC.

SUBMITTER: Onoe S

PROVIDER: S-EPMC6944927 | biostudies-literature |

REPOSITORIES: biostudies-literature

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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.