scholarly journals Comparison of neutrophil–lymphocyte ratio and platelet–lymphocyte ratio in patients with thyroiditis and papillary tumors

2019 ◽  
Vol 47 (5) ◽  
pp. 2077-2083 ◽  
Author(s):  
Aziz Ari ◽  
Feray Gunver

Objective The neutrophil–lymphocyte ratio (NLR) and platelet–lymphocyte ratio (PLR) have recently been introduced as prognostic markers of thyroid cancer and strong inflammatory markers. The study was performed to investigate the association of the PLR and NLR with thyroid inflammation and papillary cancer. Methods Patients with thyroiditis and patients with papillary carcinomas were compared with sex-, age-, and body mass index-matched healthy controls. The NLR and PLR were calculated and compared among the three groups. Results The NLR was significantly higher in patients with thyroiditis and non-significantly higher in patients with papillary cancer than in healthy controls. The PLR was significantly higher in both patients with thyroiditis and papillary cancer than in healthy controls. Like the NLR, the PLR was not different between patients with thyroiditis and papillary cancer. The NLR was significantly and positively associated with the PLR and white blood cell count. Conclusion The PLR and NLR showed similar results in both thyroid inflammation and cancer. It seems difficult to obtain clear results in separating cancer from inflammatory events using these parameters. We suggest using them as supportive parameters of thyroid papillary cancer or inflammation.

2018 ◽  
Vol 129 (3) ◽  
pp. 583-592 ◽  
Author(s):  
Shi-hao Zheng ◽  
Jin-lan Huang ◽  
Ming Chen ◽  
Bing-long Wang ◽  
Qi-shui Ou ◽  
...  

OBJECTIVEGlioma is the most common form of brain tumor and has high lethality. The authors of this study aimed to elucidate the efficiency of preoperative inflammatory markers, including neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), and prognostic nutritional index (PNI), and their paired combinations as tools for the preoperative diagnosis of glioma, with particular interest in its most aggressive form, glioblastoma (GBM).METHODSThe medical records of patients newly diagnosed with glioma, acoustic neuroma, meningioma, or nonlesional epilepsy at 3 hospitals between January 2011 and February 2016 were collected and retrospectively analyzed. The values of NLR, dNLR, PLR, LMR, and PNI were compared among patients suffering from glioma, acoustic neuroma, meningioma, and nonlesional epilepsy and healthy controls by using nonparametric tests. Correlations between NLR, dNLR, PLR, LMR, PNI, and tumor grade were analyzed. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic significance of NLR, dNLR, PLR, LMR, PNI, and their paired combinations for glioma, particularly GBM.RESULTSA total of 750 patients with glioma (Grade I, 81 patients; Grade II, 208 patients; Grade III, 169 patients; Grade IV [GBM], 292 patients), 44 with acoustic neuroma, 271 with meningioma, 102 with nonlesional epilepsy, and 682 healthy controls were included in this study. Compared with healthy controls and patients with acoustic neuroma, meningioma, or nonlesional epilepsy, the patients with glioma had higher values of preoperative NLR and dNLR as well as lower values of LMR and PNI, whereas PLR was higher in glioma patients than in healthy controls and patients with nonlesional epilepsy. Subgroup analysis revealed a positive correlation between NLR, dNLR, PLR, and tumor grade but a negative correlation between LMR, PNI, and tumor grade in glioma. For glioma diagnosis, the area under the curve (AUC) obtained from the ROC curve was 0.722 (0.697–0.747) for NLR, 0.696 (0.670–0.722) for dNLR, 0.576 (0.549–0.604) for PLR, 0.760 (0.738–0.783) for LMR, and 0.672 (0.646–0.698) for PNI. The best diagnostic performance was obtained with the combination of NLR+LMR and dNLR+LMR, with AUCs of 0.777 and 0.778, respectively. Additionally, NLR (AUC 0.860, 95% CI 0.832–0.887), dNLR (0.840, 0.810–0.869), PLR (0.678, 0.641–0.715), LMR (0.837, 0.811–0.863), and PNI (0.740, 0.706–0.773) had significant predictive value for GBM compared with healthy controls and other disease groups. As compared with the Grade I–III glioma patients, the GBM patients had an AUC of 0.811 (95% CI 0.778–0.844) for NLR, 0.797 (0.763–0.832) for dNLR, 0.662 (0.622–0.702) for PLR, 0.743 (0.707–0.779) for LMR, and 0.661(0.622–0.701) for PNI. For the paired combinations, NLR+LMR demonstrated the highest accuracy.CONCLUSIONSThe NLR+LMR combination was revealed as a noninvasive biomarker with relatively high sensitivity and specificity for glioma diagnosis, the differential diagnosis of glioma from acoustic neuroma and meningioma, GBM diagnosis, and the differential diagnosis of GBM from low-grade glioma.


2020 ◽  
Vol 11 ◽  
pp. 86
Author(s):  
Ravi Sharma ◽  
Varidh Katiyar ◽  
Hitesh Gurjar ◽  
Mehar Sharma ◽  
Revanth Goda ◽  
...  

Background: We attempt to compare preoperative inflammatory markers among children with medulloblastoma and pilocytic astrocytoma and establish their diagnostic efficacy to distinguish these tumors. Methods: Children (<18 years) with biopsy-proven medulloblastoma and pilocytic astrocytoma operated at our institute from January 2012 to January 2018 were enrolled in this study. The hematological parameters were compared between the two groups and with healthy controls. Children with a history of disease or medications that may confound these parameters were excluded from the study. Receiver operator characteristic curves were made to assess the diagnostic accuracy of markers found to be significant. Results: Patients with medulloblastoma were found to have higher neutrophil-lymphocyte ratio (NLR), derived neutrophil-lymphocyte ratio (dNLR), platelet-lymphocyte ratio (PLR), and platelet counts compared with pilocytic astrocytoma. Absolute lymphocyte count (ALC) was significantly lower in medulloblastoma group as compared to healthy controls but not with pilocytic astrocytoma. NLR and dNLR demonstrated maximum diagnostic accuracy in distinguishing patients with medulloblastoma from healthy controls and pilocytic astrocytoma. Using a cutoff of 2.45 for NLR distinguishes medulloblastoma from healthy controls as well as pilocytic astrocytoma with a sensitivity of 75.5% and specificity of 66.7%. Similarly, dNLR cutoff of 1.47 distinguishes medulloblastoma from healthy controls with a sensitivity of 83% and specificity of 76% and a cutoff of 1.53 distinguishes medulloblastoma from pilocytic astrocytoma with a sensitivity of 81.1% and specificity of 81.8%. Combination of NLR and dNLR performed only marginally better than individual variables with area under the curve being 0.856 for medulloblastoma versus healthy controls and 0.86 for medulloblastoma versus pilocytic astrocytoma. Conclusion: NLR and dNLR can be used as a preoperative predictive marker in medulloblastoma. There is decreased ALC in patients with medulloblastoma contributing to raised NLR and dNLR suggestive of systemic immunosuppression.


QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
E M Elgindy ◽  
I M F Montasser ◽  
W E Saad ◽  
M A Ghanem

Abstract Background hepatocellular carcinoma (HCC), a highly prevalent and lethal cancer, it is the sixth most common cancer and the third leading cause of cancer-related death worldwide. Aim of the work to evaluate the role of inflammatory markers Neutrophil lymphocyte ratio and Platelet lymphocyte ratio (NLR & PLR) as biomarkers for diagnosis of HCV related HCC. Patients and Methods this study was conducted in tropical medicine department, HCC clinic Ain-shams university hospitals. Our study included 174 candidates who were divided into three groups. Group A included 60 Patients with HCV-related HCC diagnosed according to American Association for the Study of Liver Diseases (AASLD) guidelines; HCC patients were subdivided into three subgroups According to BCLC Results group A included 114 Patients with HCV-related HCC, which was subdivided into three subgroups according to BCLC. Group 1 included 30 patients underwent Radio-frequency ablation (RF), 76.67% of them were males while 23.33% were females with mean age 57.433. Group 2 included 41 patients underwent Trans-arterial chemo-embolization (TACE), 80.49% were males while 19.51% were females with mean age 60.268. Group 3 included 43 Patients with BCLC stage C and D For best supportive care, 76.74% were males while 23.26% were females with mean age 60.372. Male to female ratio in HCC patients was 3.56:1. Conclusion AFP remains the gold standard marker for diagnosis of HCC. NLR and PLR has no role as early prognostic markers for HCC.


Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1210
Author(s):  
Marta Toledano-Fonseca ◽  
M. Teresa Cano ◽  
Elizabeth Inga ◽  
Auxiliadora Gómez-España ◽  
Silvia Guil-Luna ◽  
...  

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with a highly inflammatory microenvironment and liquid biopsy has emerged as a promising tool for the noninvasive analysis of this tumor. In this study, plasma was obtained from 58 metastatic PDAC patients, and neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), circulating cell-free DNA (cfDNA) concentration, and circulating RAS mutation were determined. We found that NLR was significantly associated with both overall survival (OS) and progression-free survival. Remarkably, NLR was an independent risk factor for poor OS. Moreover, NLR and PLR positively correlated, and combination of both inflammatory markers significantly improved the prognostic stratification of metastatic PDAC patients. NLR also showed a positive correlation with cfDNA levels and RAS mutant allelic fraction (MAF). Besides, we found that neutrophil activation contributed to cfDNA content in the plasma of metastatic PDAC patients. Finally, a multi-parameter prognosis model was designed by combining NLR, PLR, cfDNA levels, RAS mutation, RAS MAF, and CA19-9, which performs as a promising tool to predict the prognosis of metastatic PDAC patients. In conclusion, our study supports the idea that the use of systemic inflammatory markers along with circulating tumor-specific markers may constitute a valuable tool for the clinical management of metastatic PDAC patients.


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