Prognostic value of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in intensity modulated radiation therapy for nasopharyngeal carcinoma

Clinical implications of the serum platelet-to-lymphocyte ratio in the modern radiation oncology era: research update and literature review

Radiation therapy (RT) continues to be the primary approach for treating cancer, and numerous cancer biomarkers associated with oncological outcomes have been investigated in the context of RT. The serum platelet-to-lymphocyte ratio (PLR) is one of the emerging landmark biomarker in the oncologic field. Mounting evidence indicates that an elevated serum PLR may function as a marker of unfavorable tumor characteristics, adverse treatment outcomes and treatment-related toxicities among individuals undergoing RT. However, the findings of these investigations have revealed a few disparities among researchers, highlighting the need for further meticulously planned studies to draw conclusive results. This article provides a comprehensive literature review and in-depth discussion regarding the clinical implications of the serum PLR in the modern RT era.

Retrospective study of a novel hematological parameter for predicting the survival of patients with nasopharyngeal carcinoma

Purpose

This study aims to explore the prognostic values of routine pre-treatment hematological parameters in patients with nasopharyngeal carcinoma (NPC).

Methods

The hematological parameters and clinical data of patients with NPC were collected from January 2012 to December 2013 at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. The survival statistics were obtained by regularly following-up the patients. The cut-off values for the hematological parameters were calculated using X-tile software. SPSS version 24.0 was used for the statistical analysis. The relationship between the hematological parameters and the prognosis of patients with NPC was analyzed using the Kaplan-Meier method and Cox multivariate regression. The discriminating abilities of the factors, which predict the prognosis, were evaluated by utilizing the receiver operating characteristic (ROC) area under the curve (AUC).

Results

This study included 179 patients with NPC. Multivariate analysis shows that pretreatment platelet-to-lymphocyte ratio (PLR; hazard ratio; HR = 0.44, 95% CI [0.21-0.91], p = 0.029), serum albumin (ALB; HR = 2.49, 95% CI [1.17-5.30], p = 0.018), and globulin (GLO; HR = 0.44, 95% CI [0.21-0.90], p = 0.024) are independent predictors for 5-year overall survival (OS) in patients with NPC. In addition, pre-treatment PLR (HR = 0.47, 95% CI [0.25-0.90], p = 0.022) and pre-treatment GLO (HR = 0.37, 95% CI [0.19-0.72], p = 0.001) are associated with 5-year progression-free survival (PFS) in patients with NPC. Based on the results of the multivariate analysis, we proposed a new biomarker GLO-PLR, which is observably correlated with the T stage, N stage and clinical stage in patients with NPC. The OS resolving ability of the GLO-PLR evaluated by AUC is 0.714, which is better than those of GLO and PLR. The PFS resolving ability of the GLO-PLR evaluated by AUC was 0.696, which is also better than those of GLO and PLR.

Conclusion

Pre-treatment PLR, ALB, and GLO are independent predictors of 5-year OS in patients with NPC, where PLR and GLO are also independent predictors of 5-year FPS. Compared with other hematological parameters, the proposed GLO-PLR is an inexpensive, effective, objective, and easy-to-measure marker for predicting the prognosis of NPC.

Combined pretreatment neutrophil-lymphocyte ratio and platelet-lymphocyte ratio predicts survival and prognosis in patients with non-metastatic nasopharyngeal carcinoma: a retrospective study

The clinical significance of the combination of neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) is unclear. This study investigated the predictive value of pretreatment NLR (pre-NLR) combined with pretreatment PLR (pre-PLR) for the survival and prognosis of nasopharyngeal carcinoma (NPC). A total of 765 patients with non-metastatic NPC from two hospitals were retrospectively analyzed. The pre-NLR-PLR groups were as follows: HRG, high pre-NLR and high pre-PLR. MRG, high pre-NLR and low pre-PLR or low pre-NLR and high pre-PLR. LRG, neither high pre-NLR nor high pre-PLR. Receiver operating characteristic (ROC) curves were used to identify the cutoff-value and discriminant performance of the model. We compared survival rates and factors affecting the prognosis among different groups. The 5-year overall survival (OS), local regional recurrence-free survival (LRRFS) and distant metastasis-free survival (DMFS) of NPC patients in HRG were significantly poorer than those in MRG and LRG. The pre-NLR-PLR score was positively correlated with T stage, clinical stage, ECOG, and pathological classification. Multivariate cox regression analysis showed that pre-NLR-PLR scoring system, ECOG, pre-ALB, pre-CRP and pre-LMR were independent risk factors affecting 5-year OS, LRRFS and DMFS. The ROC curve showed that area under the curve (AUC) values of pre-NLR-PLR of 5-year OS, LRRFS and DMFS were higher than those of pre-NLR and pre-PLR. pre-NLR-PLR is an independent risk factor for the prognosis of NPC. The pre-NLR-PLR scoring system can be used as an individualized clinical assessment tool to predict the prognosis of patients with non-metastatic NPC more accurately and easily.

Systematic review and metanalysis of neutrophil to lymphocyte ratio and prognosis in patients with nasopharyngeal carcinoma

Background

Hematological parameters have been associated with prognosis in patients with nasopharyngeal carcinoma (NPC). The present meta-analysis investigated the utility of neutrophil-lymphocyte ratio (NLR) in the prognosis of patients with NPC.

Methods

Multiple electronic databases, including PubMed, Embase, the Cochrane Library, and the Web of Science, were systematically searched for studies assessing the association between NLR and NPC from 2011 to 2021. The primary outcomes were overall survival (OS) and progression-free survival (PFS). Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were utilized to estimate effect size. Use of a fixed effect or random effect model was based on heterogeneity stability was tested by sensitivity analysis, and the risk of bias was assessed by funnel plots. Random effects models were used based on the actual results. Because the NLR grouping criteria for the included studies differed, subgroup analyses were performed.

Results

A search of the electronic databases identified 14 studies, encompassing 6693 patients, that met the selection criteria. NLR higher than the cutoff value was significantly associated with poorer OS [HR 1.760, 95% CI 1.470-2.120, p <0.00001] and PFS [HR 1.850, 95% CI 1.430-2.390, p = .006]. Sensitivity analysis showed that the results of the meta-analysis were relatively stable, and funnel plots were used to exclude the risk of bias.

Conclusions

Elevated pretreatment NLR in peripheral blood is predictive of poorer OS and PFS in patients with NPC. NLR is an easily measured and important prognostic factor in patients with NPC.

The prognostic predictive value of systemic immune index and systemic inflammatory response index in nasopharyngeal carcinoma: A systematic review and meta-analysis

Objective

To study the predictive value of systemic immune index (SII) and systemic inflammatory response index (SIRI) in the prognosis of patients with nasopharyngeal carcinoma.

Methods

Two researchers independently searched PubMed, Cochrane, Embase, and Web of Science databases (until March 18, 2022) for all studies on SII, SIRI, and prognosis in patients with nasopharyngeal carcinoma. Quality assessment of included studies was assessed using the Newcastle-Ottawa Scale (NOS). In addition, a bivariate mixed-effects model was used to explore predictive value.

Results

A total of 9 studies that satisfied the requirements were included, involving, 3187 patients with nasopharyngeal carcinoma. The results of the meta-analysis showed that SII could be an independent predictor of OS (HR=1.78, 95%CI [1.44-2.20], Z=5.28, P<0.05), and SII could also be an independent predictor of PFS (HR=1.66, 95%CI [1.36-2.03], Z=4.94, P<0.05). In addition, SIRI could also serve as an independent predictor of OS (HR=2.88, 95%CI [1.97-4.19], Z=5.51, P<0.05). The ROC area was 0.63, the sensitivity was 0.68 (95%CI [0.55-0.78]), and the specificity was 0.55 (95%CI [0.47-0.62]), all of which indicated that SII had a certain predictive value for OS.

Conclusion

SII and SIRI can be used as independent predictors to predict the prognosis and survival status of patients with nasopharyngeal carcinoma and have certain predictive accuracy. Therefore, SII and SIRI should be considered in studies that update survival risk assessment systems.

Systematic Review Registration

https://www.ytyhdyy.com/, identifier PROSPERO (CRD42022319678).

Establishment of a prognostic nomogram for patients with locoregionally advanced nasopharyngeal carcinoma incorporating clinical characteristics and dynamic changes in hematological and inflammatory markers

Background

This study aims to investigate the prognostic value of changes in hematological and inflammatory markers during induction chemotherapy (IC) and concurrent chemo-radiation (CCRT), thus construct nomograms to predict progression free survival (PFS) of patients with locally advanced nasopharyngeal carcinoma (LANPC).

Methods

130 patients were included in this prospective analysis. Univariate and multivariate cox regression analyses were conducted to identify prognostic factors. Three multivariate analyses integrating different groups of variables were conducted independently. Concordance indexes (c-index), calibration plots and Kaplan-Meier curves were used to evaluate the nomograms. Bootstrap validation was performed to determine the accuracy of the nomogram using 1000 resamples. The performances of proposed nomograms and TNM staging system were compared to validate the prognostic value of hematological and inflammatory markers.

Results

Pretreatment gross tumor volume of nodal disease (GTVn), Δe/bHGB (hemoglobin count at end of treatment/baseline hemoglobin count), and stage were selected as predictors for 3-year PFS in first multivariate analysis of clinical factors. The second multivariate analysis of clinical factors and all hematological variables demonstrated that ΔminLYM (minimum lymphocyte count during CCRT/lymphocyte count post-IC), pretreatment GTVn and stage were associated with 3-year PFS. Final multivariate analysis, incorporating all clinical factors, hematological variables and inflammatory markers, identified the following prognostic factors: pretreatment GTVn, stage, ΔmaxPLR (maximum platelet-to-lymphocyte ratio (PLR) during CCRT/PLR post-IC), and ΔminPLT (minimum platelet count during CCRT/platelet count post-IC). Calibration plots showed agreement between the PFS predicted by the nomograms and actual PFS. Kaplan–Meier curves demonstrated that patients in the high-risk group had shorter PFS than those in the low-risk group (P ≤ 0.001). The c-indexes of the three nomograms for PFS were 0.742 (95% CI, 0.639-0.846), 0.766 (95% CI, 0.661-0.871) and 0.815 (95% CI,0.737-0.893) respectively, while c-index of current TNM staging system was 0.633 (95% CI, 0.531-0.736).

Conclusion

We developed and validated a nomogram for predicting PFS in patients with LANPC who received induction chemotherapy and concurrent chemo-radiation. Our study confirmed the prognostic value of dynamic changes in hematological and inflammatory markers. The proposed nomogram outperformed the current TNM staging system in predicting PFS, facilitating risk stratification and guiding individualized treatment plans.

MRI-based random survival Forest model improves prediction of progression-free survival to induction chemotherapy plus concurrent Chemoradiotherapy in Locoregionally Advanced nasopharyngeal carcinoma

Background

The present study aimed to explore the application value of random survival forest (RSF) model and Cox model in predicting the progression-free survival (PFS) among patients with locoregionally advanced nasopharyngeal carcinoma (LANPC) after induction chemotherapy plus concurrent chemoradiotherapy (IC + CCRT).

Methods

Eligible LANPC patients underwent magnetic resonance imaging (MRI) scan before treatment were subjected to radiomics feature extraction. Radiomics and clinical features of patients in the training cohort were subjected to RSF analysis to predict PFS and were tested in the testing cohort. The performance of an RSF model with clinical and radiologic predictors was assessed with the area under the receiver operating characteristic (ROC) curve (AUC) and Delong test and compared with Cox models based on clinical and radiologic parameters. Further, the Kaplan-Meier method was used for risk stratification of patients.

Results

A total of 294 LANPC patients (206 in the training cohort; 88 in the testing cohort) were enrolled and underwent magnetic resonance imaging (MRI) scans before treatment. The AUC value of the clinical Cox model, radiomics Cox model, clinical + radiomics Cox model, and clinical + radiomics RSF model in predicting 3- and 5-year PFS for LANPC patients was [0.545 vs 0.648 vs 0.648 vs 0.899 (training cohort), and 0.566 vs 0.736 vs 0.730 vs 0.861 (testing cohort); 0.556 vs 0.604 vs 0.611 vs 0.897 (training cohort), and 0.591 vs 0.661 vs 0.676 vs 0.847 (testing cohort), respectively]. Delong test showed that the RSF model and the other three Cox models were statistically significant, and the RSF model markedly improved prediction performance (P < 0.001). Additionally, the PFS of the high-risk group was lower than that of the low-risk group in the RSF model (P < 0.001), while comparable in the Cox model (P > 0.05).

Conclusion

The RSF model may be a potential tool for prognostic prediction and risk stratification of LANPC patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09832-6.

Nomogram Based on Inflammatory Biomarkers and Nutritional Indicators for Predicting Overall Survival in Locoregionally Advanced Nasopharyngeal Carcinoma

Purpose

To establish and validate a nomogram to predict overall survival in locoregionally advanced nasopharyngeal carcinoma (LA-NPC) based on inflammatory biomarkers and nutritional indicators.

Patients and Methods

A total of 1304 patients who underwent concurrent chemoradiotherapy (CCRT) with or without induction chemotherapy (IC) or adjuvant chemotherapy (AC) were included in the study. The prognosis factors of overall survival (OS) were selected by Cox regression analysis to establish the nomogram. Concordance index (C-index), calibration curves, decision curve analysis (DCA) and Kaplan-Meier curves were used to evaluate the nomogram.

Results

Using multivariate Cox analysis of clinically important variables, the following variables were incorporated in the prediction of OS: age, gender, T stage, N stage, pre-treatment plasma Epstein-Barr virus (EBV) DNA, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), lactic dehydrogenase-to-albumin ratio (LAR) and prognostic nutritional index (PNI). The discriminative ability, clinical usefulness and calibration of the nomogram revealed good predictive ability as indicated by the C-index (0.717 in nomogram and 0.602 in the 8th AJCC staging system), decision curves, calibration curves and K-M curves.

Conclusion

Inflammatory biomarkers and nutritional indicators of survival for LA-NPC were selected to create a nomogram predicting OS. The proposed nomogram resulted in more accurate prognostic prediction than 8th AJCC staging system.

CT-Based Radiomics Nomogram for Prediction of Progression-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma

Purpose

We aimed to construct of a nomogram to predict progression-free survival (PFS) in locoregionally advanced nasopharyngeal carcinoma (LA-NPC) with risk stratification using computed tomography (CT) radiomics features and clinical factors.

Patients and Methods

A total of 311 patients diagnosed with LA-NPC (stage III–IVa) at our hospital between 2010 and 2014 were included. The region of interest (ROI) of the primary nasopharyngeal mass was manually outlined. Independent sample t-test and LASSO-logistic regression were used for selecting the most predictive radiomics features of PFS, and to generate a radiomics signature. A nomogram was built with clinical factors and radiomics features, and the risk stratification model was tested accordingly.

Results

In total, 20 radiomics features most associated with prognosis were selected. The radiomics nomogram, which integrated the radiomics signature and significant clinical factors, showed excellent performance in predicting PFS, with C-index of 0.873 (95% CI: 0.803~0.943), which was better than that of the clinical nomogram (C-index, 0.729, 95% CI: 0.620~0.838) as well as of the TNM staging system (C-index, 0.689, 95% CI: 0.592–0.787) in validation cohort. The calibration curves and the decision curve analysis (DCA) plot obtained suggested satisfying accuracy and clinical utility of the model. The risk stratification tool was able to predict differences in prognosis of patients in different risk categories (p<0.001).

Conclusion

CT-based radiomics features, an in particular, radiomics nomograms, have the potential to become an accurate and reliable tool for assisting with prognosis prediction of LA-NPC.

Cutoff point of neutrophil-to-lymphocyte ratio for predicting survival in nasopharyngeal carcinoma

Neutrophil-to-lymphocyte ratio (NLR) was reported as an independent prognostic factor in many studies, but its cutoff point was not yet concluded. We set forth to prove and validate cutoff point of NLR as a poor prognostic factor for overall survival (OS) in nonmetastatic nasopharyngeal carcinoma (NPC) patients.Retrospective cohort of nonmetastatic NPC adult patients treated with intensity-modulated radiotherapy with curative aim at Siriraj hospital during 2007 to 2014 was enrolled. NLR was defined as absolute neutrophil count divided by absolute lymphocyte count. OS was the primary outcome. We explored our cutoff value by maximum concordance index (C-index) method, and we validated our cutoff and previously reported cutoff values by categorizing patients as NLR ≤ 3 or >3. Internal validation was done by bootstrapping method.Four hundred sixty-three patients were included. The median follow-up time was 70.8 months. By the end of June 2019, 211 patients had died. In univariable analysis of OS by Cox model, an NLR value of 3 showed the highest C-index (0.548) with an HR of 1.43 (95% CI: 1.08-1.89). After adjustment for body mass index, overall staging, age, gender, and histology in multivariable analysis, an NLR >3 was still an independent prognostic factor of poor OS (HR = 1.34, 95% CI = 1.01-1.79). After internal validation, the resampling method shows no overfitting condition and corrected C-index was 0.547 for univariable analysis.A cutoff point of NLR of 3 from routine blood test was found to be an independent poor prognostic factor among patients with nonmetastatic NPC. This prognostic factor could be included in clinical prediction model of NPC and this further prediction model would select high risk patients for intensive treatment.

The Platelet to Lymphocyte and Neutrophil to Lymphocyte Ratios in Predicting Response to Platinum-based Chemotherapy for Epithelial Ovarian Cancer

Objective:

The patients with advanced-stage ovarian cancer have higher factors complicating surgery; thus, the best choice for them is surgery with chemotherapy with six cycles of adjuvant chemotherapy. Generally, chemotherapy can be evaluated in various ways, phsychal examination, radiology examination, and laboratory examination. This study aims is to examine if the measurement of the platelet/lymphocyte ratio (PLR) and neutrophil/lymphocyte ratio (NLR) can be used to predict a patient’s response to chemotherapy.

Methods:

Analytic observational study with a case-control design conducted in the Dr. Hasan Sadikin Hospital in Bandung from 2017 to 2018. This study used the medical record of ovarian cancer patients with post-surgery complete blood counts and histopathological reports. The sample size was determined based on the categorical test’s statistical calculation to obtain a total number of at minimal 90 samples. All the study subjects who had undergone complete chemotherapy were followed up for 6 months. Their response to chemotherapy was assessed with a clinical examination, ultrasonography, and a CA-125 blood test every 3 months.

Results:

In 2017–2018, 504 patients were diagnosed with ovarian cancer at the Dr. Hasan Sadikin Hospital in Bandung, Indonesia. After reassessment, 116 patients had stage I to III ovarian cancer and underwent cytoreduction followed by platinum chemotherapy. The age, cancer stage, and types of epithelial cells in the platinum-sensitive and platinum-resistant patients were characterized. There were significant differences between the two groups in age and cancer stage characteristics (p < 0.05). The increase in platelet/lymphocyte (p = 0.003) and neutrophil/lymphocyte ratios (p = 0.026) are associated with the increase in the response to platinum chemotherapy against epithelium-based cancers.

Conclusion:

A patient’s NLR and PLR are strongly associated with his response to chemotherapy.

Prognostic Nomogram For Locoregionally Advanced Nasopharyngeal Carcinoma

The TNM staging system of NPC is the most important model for survival prediction. However, this model does not consider the biological variability of the tumor itself. This study aimed to develop a nomogram for predicting the overall survival of loco-regionally advanced nasopharyngeal carcinoma. 487 Patients with confimed nasopharyngeal carcinoma who underwent IMRT and chemotherapy were included in this study. We established prognostic nomogram for overall survival (OS) based on the Cox proportional hazards model. The predictive accuracy and discriminative ability were measured using the concordance index (C-index) and calibration curve. Nomogram was validated externally by assessing discrimination and calibration using an independent data set. Continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to analyze whether nomogram improve the prediction of survival than TNM stage system. Recursive partitioning analysis (RPA) was performed to stratifying risk of patients. Age, T-stage, N-stage, NLR, LDH were included in the nomogram for OS. The C-index of the nomogram for OS were 0.726 (95% CI, 0.690 to 0.762); The calibration curve showed the nomogram was able to predict 5-year OS accurately. The nomogram had a higher C-index than the TNM stage system (0.726 VS 0.632, P-value < 0.001). The NRI was 0.235 (95% CI: 0.129 to 0.396, P < 0.001), the IDI was 0.079 (95% CI: 0.034 to 0.396, p < 0.001). RPA was performed to stratify patients into three risk group, OS was significantly different between all three risk groups. High risk groups can be benefited survival from adjuvant chemotherapy. The nomogram outperformed the TNM staging system in predicting the OS of loco-regionally advanced nasopharyngeal carcinoma underwent intensity modulated radiation therapy and chemotherapy.

Perioperative changes of inflammation-based biomarker for predicting the prognosis in colorectal cancer patients: a retrospective analysis

Introduction

Perioperative inflammatory markers, including the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), are associated with oncological prognosis. However, their changes in colorectal cancer surgery for predicting the prognosis are rarely investigated.

Aim

To compare perioperative changes to evaluate the prognostic significance of patients’ survival.

Material and methods

Retrospective clinical data and baseline laboratory parameters of 183 colorectal cancer (CRC) patients who underwent curative surgery were collected between January 2007 and January 2013. The clinicopathological characteristics were compared. Statistical analysis was used to identify the predictive changes of perioperative NLR and PLR associated with survival prognosis.

Results

ROC analysis indicated that perioperative NLR/PLR showed higher predictive accuracy for prognosis, and the optimal cut-off values of pre-NLR, post-NLR, pre-PLR, and post-PLR were 2.94, 4.32, 184.29, and 212.37, respectively. Kaplan-Meier analysis suggested that the four groups stratified by perioperative changes had significantly different recurrence-free survival and overall survival (p < 0.05). Univariate and multivariable analysis revealed that patients with higher cancer stage, lymph node metastasis, and perioperative change of NLR/PLR (HH, LH) had significant association with poor prognosis of RFS and OS (all p < 0.05).

Conclusions

Perioperative NLR and PLR might be good predictors for prognosis in CRC patients who have undergone curative surgery, which could guide the customised therapeutic strategy. Furthermore, their assessment could contribute to accurately predicting oncologic outcomes and provide an in-depth understanding of the patients, which could guide the operational strategy.

Prognostic significance of platelet-to-lymphocyte ratio in patients with nasopharyngeal carcinoma: a meta-analysis

Aim: Several studies reported the association of platelet-to-lymphocyte ratio (PLR) and prognosis in nasopharyngeal carcinoma (NPC), but the results remain controversial. Therefore, we investigated the prognostic value of PLR in NPC through meta-analysis. Materials & methods: A comprehensive literature search of PubMed, Embase and Web of Science was performed. Results: A total of 9 studies comprising of 3459 patients with NPC were included. The data demonstrated that an increased PLR predicted poor overall survival, progression-free survival and distant metastasis-free survival. There was no significant association between PLR and sex, age, T stage, N stage, tumor node metastasis (TNM) stage or intensity-modulated radiotherapy. Conclusion: This meta-analysis revealed that PLR might be a potential predicative biomarker of poor prognosis in patients with NPC.

Neutrophil-to-lymphocyte ratio predicts the prognosis of stage II nasopharyngeal carcinoma

Purpose

To assess the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) in stage II nasopharyngeal carcinoma (NPC).

Methods

Stage II (2010 UICC/AJCC staging system) NPC patients treated between January 2007 and December 2014 were retrospectively analyzed. The NLR was calculated from peripheral blood cell counts before treatment. The optimal cut-off value of NLR was determined by receiver operating characteristic curve analysis. Survival rates were compared according to the NLR value. Multivariable Cox regression analyses were performed to assess the association between the NLR and overall survival (OS), locoregional-free survival (LRFS), and distant metastasis-free survival (DMFS).

Results

Two hundred and fifty-one stage II NPC patients were included in this study. The NLR was correlated with T stage (r=0.158, p=0.012). An NLR ≥2.92 was associated with poor 5-year OS (84.3% vs 97.4%, p=0.001) and LRFS (91.4% vs 98.4%, p=0.003). An NLR ≥2.82 was associated with poor 5-year DMFS (92.6% vs 98.2%, p=0.033). The multivariate Cox regression analysis showed that an NLR ≥2.92 was an independent prognostic biomarker in stage II NPC.

Conclusion

The NLR is an independent prognostic factor in stage II NPC.

Prognostic Analysis of Preoperative Inflammatory Biomarkers in Patients With Laryngeal Squamous Cell Carcinoma

OBJECTIVE

The purpose of this study was to demonstrate the prognostic role of inflammatory biomarkers in patients with laryngeal squamous cell carcinoma.

METHODS

For this study, we enrolled 151 patients who had undergone surgery for laryngeal squamous cell carcinoma. We assessed the preoperative neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), mean platelet volume, red cell distribution width, and alkaline phosphatase. The chi-square test, Kaplan-Meier survival analysis, and Cox proportional hazards model were conducted on overall survival, progression-free survival, locoregional recurrence-free survival, and distant metastasis-free survival of patients with laryngeal squamous cell carcinoma.

RESULTS

Both Kaplan-Meier analysis and univariate analysis showed significant prognostic differences with age, laryngectomy methods, Tumor Node Metastasis (TNM) staging, tumor location, NLR, PLR, MLR, and mean platelet volume. Multivariate analysis indicated that NLR (overall survival: hazard ratio [HR] = 3.02, 95% confidence interval [CI]: 1.28-7.10, P = .011), PLR (overall survival: HR = 0.33, 95% CI: 0.14-0.78, P = .011; progression-free survival: HR = 0.016,95% CI: 0.10-0.79, P = .016), and MLR (overall survival: HR = 0.29, 95% CI: 0.11-0.76, P = .012) were independent prognostic factors for 5-year survival. However, red cell distribution width and alkaline phosphatase had no significant difference in overall survival and progression-free survival.

CONCLUSIONS

Preoperative high NLR, PLR, and MLR were associated with poor prognosis. They were found to be effective and reliable inflammatory biomarkers for patients with laryngeal squamous cell carcinoma.

Platelet-to-lymphocyte ratio as a potential prognostic factor in nasopharyngeal carcinoma: A meta-analysis

BACKGROUND

The aim of this study was to investigate the use of pretreatment platelet-to-lymphocyte ratio (PLR) as a prognostic marker in patients with nasopharyngeal carcinoma (NPC).

METHODS

A literature search was conducted using online databases such as MEDLINE, EMBASE, Cochrane Library, and WangFang. Overall survival (OS), progression-free survival (PFS), and clinicopathological features were generated and compared.

RESULTS

Ten studies that included 3388 patients were analyzed in this meta-analysis. Among them, 8 studies with 3033 patients with NPC investigated the prognostic role of PLR for OS and showed that elevated PLR was associated with poor OS (HR: 1.77, 95% CI: 1.46-2.15, P < .001). Five studies that included 1156 patients investigated the role of PLR in predicting PFS, and showed that high PLR was associated with poor PFS (HR: 1.65, 95% CI: 1.26-2.17, P < .001). Moreover, high PLR correlated with the N stage (N2-3 vs N0-1; OR: 1.55, 95% CI: 1.02-2.34, P = .04).

CONCLUSION

Our study suggested that high PLR is associated with worse prognosis in patients with NPC. Pretreatment PLR could serve as a simple, promising indicator for prognostic evaluation in patients with NPC.

Systemic immune-inflammation index as a prognostic marker in patients with newly diagnosed metastatic nasopharyngeal carcinoma: a propensity score-matched study

Background

Systemic immune-inflammation index (SII) is significantly associated with poor survival in variety of cancers. However, SII has not yet been investigated in patients with newly diagnosed metastatic nasopharyngeal carcinoma (mNPC). Thus, our aim is to explore the role of SII in metastatic Nasopharyngeal Carcinoma.

Methods

Two hundred and forty-three patients with newly diagnosed mNPC were retrospectively enrolled. The Kaplan-Meier analysis and Cox regression analysis was performed to evaluate the prognostic value of SII in overall survival (OS) and progression-free survival (PFS). Heterogeneity of factors was balanced by using propensity score-matched (PSM) analysis (1:1 for high SII versus low SII).

Results

Kaplan-Meier analysis showed that patients with high SII were associated with poor median OS (18.0 vs. 36.0 m, P<0.001) and PFS (10.0 vs. 22.0 m, P<0.001) in mNPC. The Cox regression analysis suggested that high SII was a prognostic factor for OS (HR 1.75, 95% CI: 1.22–2.52, P=0.001) and PFS (HR 1.69, 95% CI: 1.22–2.35, P=0.002). PSM analysis still confirmed that SII was an independent marker for OS (HR 1.86, 95% CI: 1.22–2.83, P=0.004) and PFS (HR 1.84, 95% CI: 1.23–2.77, P=0.003).

Conclusions

SII is an independent prognostic biomarker for poor OS and PFS in patients with newly diagnosed mNPC and might be a promising tool for guiding treatment strategy decisions.

Preoperative high c-reactive protein/albumin ratio is a poor prognostic factor of oral squamous cell carcinoma

Aim: To explore whether c-reactive protein/albumin (CRP/Alb) ratio is a poor prognostic factor for patients with oral squamous cell carcinoma (OSCC). Patients & methods: Receiver-operating characteristic analysis was performed to evaluate the optimal cut-off value of CRP/Alb ratio in 240 patients with OSCC. The Kaplan-Meier method was used to plot the overall survival and disease-free survival curves. Cox proportional hazards model was used to implement univariate and multivariate analyses. Results: Preoperative high CRP/Alb ratio was associated with age, advanced stage, lymphatic metastasis, platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio (all p < 0.05). Elevated CRP/Alb ratio independently predicts worse overall survival and disease-free survival of patients with OSCC. Conclusion: Preoperative high CRP/Alb ratio was a poor independent prognostic marker of OSCC.

A Retrospective Study of The Prognostic Significance of Preoperative Plasma Fibrinogen, Mean Platelet Volume, and the Neutrophil-to-Lymphocyte Ratio in Patients with Laryngeal Squamous Cell Carcinoma

BACKGROUND This study aimed to evaluate the prognostic significance of plasma fibrinogen, serum albumin, the mean platelet volume (MPV), and the neutrophil-to-lymphocyte ratio (NLR) in patients with laryngeal squamous cell carcinoma (LSCC) who underwent surgical resection. MATERIAL AND METHODS A retrospective study included 110 patients with LSCC who underwent surgical resection between January 2008 to June 2015. Clinicopathologic and demographic data were recorded. Preoperative levels of plasma fibrinogen, serum albumin, MPV, and NLR were measured, and all patients underwent postoperative follow-up. The Kaplan-Meier method was used to determine the impact of these factors on overall survival (OS) and disease-free survival (DFS). RESULTS Preoperative hyperfibrinogenemia was significantly correlated with clinical stage, T stage, and tumor location in patients with LSCC (P<0.05). Serum albumin, MPV, and NLR were significantly correlated with the clinical stage and the T stage (P<0.05). The OS and DFS were significantly reduced in patients with hyperfibrinogenemia compared with patients with plasma fibrinogen <4 g/dL (P<0.05). Serum albumin of 35 g/L was not significantly correlated with OS (P>0.05). Patients with an MPV <9.5 fL had a significantly longer OS compared with patients with an MPV ≥9.5 fL (P=0.026). The DFS of patients with an NLR <2.22 was significantly longer than for those with an NLR ≥2.22. CONCLUSIONS Preoperative hyperfibrinogenemia, increased MPV and NLR were associated with reduced prognosis in patients with LSCC.

A meta-analysis of the impact of neutrophil-to-lymphocyte ratio on treatment outcomes after radiotherapy for solid tumors

BACKGROUND

To evaluate the impact of neutrophil-to-lymphocyte ratios (NLR) as a prognostic factor in predicting treatment outcomes after radiotherapy (RT) for solid tumors.

METHODS

PubMed and Embase databases were used to search for articles published by February 2019 based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Hazard ratios (HR) with 95% confidence intervals (CI) were used to evaluate the association between NLR levels and treatment outcomes after RT. The primary endpoint was overall survival (OS) rates. Secondary endpoints included progression-free survival, disease-free survival, and disease-specific survival rates.

RESULTS

Thirty-eight datasets with a total of 7065 patients were included in the meta-analysis. Patients with high pretreatment NLR demonstrated significantly worse OS with a pooled HR of 1.90 (95% CI 1.66-2.17, P < .001). In patients receiving RT alone, the pooled HR for OS was 1.71 (95% CI 1.44-2.04, P < .001) with no between-study heterogeneity (I = 0%, P = .46).

CONCLUSION

Elevated pretreatment NLR is associated with poorer survival in cancer patients undergoing RT. Elevated pretreatment NLR prior to RT initiation may be a useful biomarker to predict treatment outcomes and select a subgroup of patients in need of a more aggressive treatment approach.