A potential novel biomarker in predicting lymph node metastasis of gastric signet ring cell carcinoma: A derived monocyte to lymphocyte ratio

Tong, Chengcheng; Wang, Wei; Yang, Xia; He, Changyu

doi:10.1016/j.amjsurg.2021.10.026

Cited by 10 publications

(8 citation statements)

References 27 publications

(29 reference statements)

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“…13 Tong et al used the derived monocyte-to-lymphocyte ratio for predicting LNM in patients with gastric signet ring cell carcinoma. 21 FLR, combined with hemagglutination and inflammation markers, have a potential prognostic value in different types of cancers, such as non-small cell lung cancer, esophageal cancer, liver cancer, and head and neck adenoid cystic carcinoma. [16][17][18][19] In addition, Huang et al found that a high FLR level was a risk factor for peritoneal metastasis in GC.…”

Section: Discussionmentioning

confidence: 99%

“…These parameters were measured within 1 week before surgery, and the results of the first blood test after admission were considered the main results. 21 was identified using a contrast-enhanced abdominal CT scan. Based on previous studies, cN+ was defined as lymph nodes with a short-axis diameter of ≥ 8 mm or a long-axis diameter of ≥ 10 mm 23,24 and cN0 as the absence of LNM.…”

Section: Data Collectionmentioning

confidence: 99%

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Fibrinogen-to-Lymphocyte Ratio Was an Independent Predictor of Lymph Node Metastasis in Patients with Clinically Node-Negative Advanced-Stage Gastric Cancer

Hu¹,

Wang²,

He³

2023

IJGM

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Various hematological indicators have been reported to predict lymph node metastasis (LNM) in gastric cancer (GC) patients, but the relationship between FLR and LNM has not been studied. Therefore, the aim of this study was to evaluate the role of preoperative fibrinogen-to-lymphocyte ratio (FLR) in predicting LNM in patients with clinically node-negative (cN0) advanced gastric cancer (AGC). Patients and Methods: We retrospectively reviewed 571 eligible patients with primary AGC adenocarcinoma who underwent radical gastrectomy (discovery cohort). Patients were divided into high and low FLR groups according to the optimal cutoff value determined by Youden index. FLR is an independent predictor of LNM determined by logistic regression and validated in the validation cohort of 207 patients. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of FLR for LNM. The nonlinear relationship between FLR and LNM risk was assessed using restricted cubic spline. Sensitivity analyses were performed according to FLR quartiles to further assess the robustness of the results. The nomogram was built based on FLR and clinicopathological characteristics, and was evaluated by calibration curves, ROC curve analysis and decision curve analysis. Results: In the discovery cohort, the area under the curve (AUC) value for FLR to predict LNM was 0.592. There is a linear relationship between the FLR value and the risk of LNM, and the risk of LNM increased with FLR value. High FLR level is an independent risk factor for LNM, and the results of sensitivity analysis robust this finding. The nomogram for individual risk assessment performed well. Furthermore, we verified the FLR was an independent predictor of LNM in the validation cohort. Conclusion: FLR was an independent predictor of LNM in patients with cN0 AGC.

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Section: Discussionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Fibrinogen-to-Lymphocyte Ratio Was an Independent Predictor of Lymph Node Metastasis in Patients with Clinically Node-Negative Advanced-Stage Gastric Cancer

Hu¹,

Wang²,

He³

2023

IJGM

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“…In terms of sensitivity analysis, we incorporated the quartile of PALR in the multivariate analysis. We used AUC, decision curve analysis (DCA), and the calibration curves to evaluate the nomogram as previously described ( 23 – 25 ). The internal validation of the model was performed via a bootstrap resample approach (1000 samples), together with the calculation of a corrected concordance index (C-index) ( 26 ).…”

Section: Methodsmentioning

confidence: 99%

A novel potential inflammation-nutrition biomarker for predicting lymph node metastasis in clinically node-negative colon cancer

Duan

Wang

2023

Front. Oncol.

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BackgroundThe purpose of this study is to investigate the predictive significance of (platelet × albumin)/lymphocyte ratio (PALR) for lymph node metastasis (LNM) in patients with clinically node-negative colon cancer (cN0 CC).MethodsData from 800 patients with primary CC who underwent radical surgery between March 2016 and June 2021 were reviewed. The non-linear relationship between PALR and the risk of LNM was explored using a restricted cubic spline (RCS) function while a receiver operating characteristic (ROC) curve was developed to determine the predictive value of PALR. Patients were categorized into high- and low-PALR cohorts according to the optimum cut-off values derived from Youden’s index. Univariate and multivariate logistic regression analyses were used to identify the independent indicators of LNM. Sensitivity analysis was performed to repeat the main analyses with the quartile of PALR.ResultsA total of eligible 269 patients with primary cN0 CC were retrospectively selected. The value of the area under the ROC curve for PALR for predicting LNM was 0.607. RCS visualized the uptrend linear relationship between PALR and the risk of LNM (p-value for non-linearity > 0.05). PALR (odds ratio = 2.118, 95% confidence interval, 1.182-3.786, p = 0.011) was identified as an independent predictor of LNM in patients with cN0 CC. A nomogram incorporating PALR and other independent predictors was constructed with an internally validated concordance index of 0.637. The results of calibration plots and decision curve analysis supported a good performance ability and the sensitivity analysis further confirmed the robustness of our findings.ConclusionPALR has promising clinical applications for predicting LNM in patients with cN0 CC.

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“…All of the blood samples were collected before EVT. We documented neutrophil count (N),12 13 white blood cell count (W),13 eosinophil count (E),14 monocyte count (M),5 lymphocyte count (L),5 and platelet count (P/PLT),5 and calculated the following according to the above indicators: neutrophil to lymphocyte ratio (NLR),4 platelet to lymphocyte ratio (PLR),4 platelet to neutrophil ratio (PNR),5 6 platelet to white blood cell ratio (PWR)6, platelet to monocyte ratio (PMR),15 lymphocyte to monocyte ratio (LMR),16 monocyte to neutrophil ratio (MNR),5 eosinophil to lymphocyte ratio (ELR),17 and eosinophil to monocyte ratio (EMR) 18. NLR to platelet ratio (NLR/PLT) was calculated as the value of the ratio of NLR to platelets 19…”

Section: Methodsmentioning

confidence: 99%

Effects of admission systemic inflammatory indicators on clinical outcomes in patients with vertebrobasilar artery occlusion: insight from the PERSIST registry

Zhang

Duan

et al. 2022

J NeuroIntervent Surg

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BackgroundFew studies have focused on the effect of systemic inflammation in vertebrobasilar artery occlusion (VBAO). The aim of this study was to investigate the relationship between inflammatory indicators and the prognosis of VBAO patients receiving endovascular treatment (EVT).MethodPatients with VBAO who were treated with EVT within 24 hours of the estimated occlusion time were included in this study. Multivariate logistic regression and elastic net regularization were performed to analyze the effects of inflammatory indicators on the prognosis of patients with VBAO. The primary outcome was unfavorable outcome (a modified Rankin Scale score of 4–6) at 90 days. Secondary outcomes included symptomatic intracranial hemorrhage, in-hospital mortality, 90 day mortality, 1 year unfavorable outcome, and mortality.Results560 patients were included in the study. Multivariate analysis showed that white blood cells (W), neutrophils (N), neutrophil to lymphocyte ratio (NLR), platelet to neutrophil ratio, platelet to white blood cell ratio, and NLR to platelet ratio were associated with the primary outcome. Elastic net regularization indicated that W, N, and NLR were the major inflammatory predictors of unfavorable outcome at 90 days. For long term prognosis, we found that the inflammatory indicators that predicted 1 year outcomes were consistent with those that predicted 90 day outcomes.ConclusionInflammatory indicators, especially W, N, and NLR, were associated with moderate and long term prognosis of patients with VBAO treated with EVT.

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A potential novel biomarker in predicting lymph node metastasis of gastric signet ring cell carcinoma: A derived monocyte to lymphocyte ratio

Cited by 10 publications

References 27 publications

Fibrinogen-to-Lymphocyte Ratio Was an Independent Predictor of Lymph Node Metastasis in Patients with Clinically Node-Negative Advanced-Stage Gastric Cancer

Fibrinogen-to-Lymphocyte Ratio Was an Independent Predictor of Lymph Node Metastasis in Patients with Clinically Node-Negative Advanced-Stage Gastric Cancer

A novel potential inflammation-nutrition biomarker for predicting lymph node metastasis in clinically node-negative colon cancer

Effects of admission systemic inflammatory indicators on clinical outcomes in patients with vertebrobasilar artery occlusion: insight from the PERSIST registry

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