Prognostic Significance of Neutrophil to Lymphocyte Ratio, Lymphocyte to Monocyte Ratio, and Platelet to Lymphocyte Ratio in Patients with Nasopharyngeal Carcinoma

Harnessing the Systemic Immunoinflammatory Index as a Potential Predictive Tool for Recurrent or Metastatic Nasopharyngeal Carcinoma Undergoing PD-L1 Inhibitor

Purpose

Immunotherapy has become the primary option for recurrent and metastatic nasopharyngeal cancer (R/M NPC) after failure of chemotherapy, but without good prognostic indicators. Our study aimed to assess the potential of the systemic immune-inflammation index (SII) in predicting the effectiveness of PD-L1 inhibitor therapy for R/M NPC.

Patients and Methods

The study cohort comprises of a prospective Phase 2 clinical trial population undergoing PD-L1 inhibitor for R/M NPC at 42 hospitals in China between 2019 and 2021. The SII is classified into high and low states based on the optimal threshold determined by the ROC curve. We assessed the relationship between SII status and objective remission rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS) using regression analyses and Kaplan-Meier method. We performed sensitivity analyses to confirm the results.

Results

Our study analyzed 153 patients from one of the largest cohorts to date of R/M NPC treated with PD-L1 inhibitor and found that SII showed a significant association with prognosis. We found higher ORR and DCR in the SII-Low group. Univariate analyses demonstrated that SII independently predicted DCR (OR, 0.43; 95% CI, 0.22-0.84; p = 0.001), PFS (HR, 1.85; 95% CI, 1.31-2.62; p < 0.001) and OS (HR, 1.92; 95% CI, 1.29-2.85; p < 0.001). After adjusting for covariates, multivariate analysis remains relevant. [DCR (OR, 0.47; 95% CI, 0.22-0.99; p = 0.048), PFS (HR, 1.72; 95% CI, 1.2-2.47; p =0.003); OS (HR, 2.08; 95% CI, 1.38-3.13; p < 0.001)]. Sensitivity analyses also support this conclusion.

Conclusion

SII may well provide predictive value for the efficacy and prognosis of patients with R/M NPC treated with PD-L1 inhibitor. Patients with high status of SII may have a poorer therapeutic effect and survival.

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.

Triglyceride-inflammation score established on account of random survival forest for predicting survival in patients with nasopharyngeal carcinoma: a retrospective study

Objective

This study aimed to establish an effective prognostic model based on triglyceride and inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR), to predict overall survival (OS) in patients with nasopharyngeal carcinoma (NPC). Additionally, we aimed to explore the interaction and mediation between these biomarkers in their association with OS.

Methods

A retrospective review was conducted on 259 NPC patients who had blood lipid markers, including triglyceride and total cholesterol, as well as parameters of peripheral blood cells measured before treatment. These patients were followed up for over 5 years, and randomly divided into a training set (n=155) and a validation set (n=104). The triglyceride-inflammation (TI) score was developed using the random survival forest (RSF) algorithm. Subsequently, a nomogram was created. The performance of the prognostic model was measured by the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curve, and decision curve analysis (DCA). The interaction and mediation between the biomarkers were further analyzed. Bioinformatics analysis based on the GEO dataset was used to investigate the association between triglyceride metabolism and immune cell infiltration.

Results

The C-index of the TI score was 0.806 in the training set, 0.759 in the validation set, and 0.808 in the entire set. The area under the curve of time-dependent ROC of TI score in predicting survival at 1, 3, and 5 years were 0.741, 0.847, and 0.871 respectively in the training set, and 0.811, 0.837, and 0.758 in the validation set, then 0.771, 0.848, and 0.862 in the entire set, suggesting that TI score had excellent performance in predicting OS in NPC patients. Patients with stage T1-T2 or M0 had significantly lower TI scores, NLR, and PLR, and higher LMR compared to those with stage T3-T3 or M1, respectively. The nomogram, which integrated age, sex, clinical stage, and TI score, demonstrated good clinical usefulness and predictive ability, as evaluated by the DCA. Significant interactions were found between triglyceride and NLR and platelet, but triglyceride did not exhibit any medicating effects in the inflammatory markers. Additionally, NPC tissues with active triglyceride synthesis exhibited high immune cell infiltration.

Conclusion

The TI score based on RSF represents a potential prognostic factor for NPC patients, offering convenience and economic advantages. The interaction between triglyceride and NLR may be attributed to the effect of triglyceride metabolism on immune response.

Neutrophil-to-lymphocyte ratio and monocyte-to-eosinophil ratio as prognostic indicators for advanced nasopharyngeal carcinoma

OBJECTIVE

To determine the predictive value of the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-eosinophil ratio (NER), lymphocyte-to-eosinophil ratio (LER), monocyte-to-eosinophil ratio (MER), systemic inflammatory response index (SIRI), and ratio of inflammatory cells before and after treatment for predicting survival in advanced nasopharyngeal carcinoma (NPC) and to provide a reference for treatment.

METHODS

A retrospective review of 70 patients was performed. Serological indexes were obtained by drawing blood before and after systemic therapy. The cutoff values of these indexes were determined by receiver operating characteristic (ROC) curves. The prognostic value of the indexes for overall survival (OS) and distant metastasis free survival (DMFS) was evaluated.

RESULTS

Survival analysis showed that a smaller pretreatment LMR value was associated with poor OS; larger pretreatment NER, LER, MER, and SIRI values were associated with poor OS; a smaller posttreatment LMR value was associated with poor OS; larger posttreatment NLR, NER, MER, and SIRI values were associated with poor OS; a smaller pretreatment LMR value was associated with poor DMFS; larger pretreatment NLR, NER, LER, and MER values were associated with poor DMFS; and larger posttreatment NLR, NER, LER, and MER values were associated with poor DMFS. Furthermore, a larger neutrophil after treatment-to-neutrophil before treatment ratio was associated with poor OS and DMFS. Logistic regression analysis showed that pretreatment MER and posttreatment NLR were independent predictors of OS in patients with advanced NPC; moreover, pretreatment and posttreatment MER and NLR were independent prognostic factors for DMFS in patients with advanced NPC.

CONCLUSIONS

The NLR, NER and MER can be used to predict survival in advanced NPC patients. Eosinophils might be one of the factors for the good prognosis of NPC patients. In addition, an increased number of neutrophils after treatment may indicate a favorable prognosis.

Nomograms containing body dose parameters for predicting survival in patients with nasopharyngeal carcinoma

PURPOSE

To assess the impact of body dose on survival outcomes in nasopharyngeal carcinoma (NPC) patients and to create novel nomograms incorporating body dose parameters for predicting survival.

METHODS

594 of non-metastasis NPC patients (training group, 396; validation group, 198) received intensity-modulated radiation therapy at our institution from January 2012 to December 2016. Patient characteristics, body dose parameters in dose-volume histogram (DVH) and hematology profiles were collected for predicting overall survival (OS) and progression-free survival (PFS). Nomograms for OS and PFS were developed using the selected predictors. Each nomogram was evaluated based on its C-index and calibration curve.

RESULTS

Body dose-based risk score for OS (RSOS), N stage, age, and induction chemotherapy were independent predictors for OS, with a C-index of 0.784 (95% CI 0.749-0.819) in the training group and 0.763 (95% CI 0.715-0.810) in the validation group for the nomogram. As for PFS, the most important predictors were the body dose-based risk score for PFS (RSPFS), N stage, and induction chemotherapy. C-index of PFS nomogram was 0.706 (95% CI 0.681-0.720) in the training group and 0.691 (95% CI 0.662-0.711) in the validation group. The two models outperformed the TNM staging system in predicting outcomes.

CONCLUSIONS

Body dose coverage is a useful predictor of prognosis in clinical routine patients. The novel nomograms integrating body dose parameters can precisely predict OS and PFS in NPC patients.

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.

A single center retrospective study assessing the prognostic significance of pre-treatment neutrophil/lymphocyte ratio in locally advanced nasopharyngeal carcinoma

Background

In light of the growing evidence suggesting the impact of inflammatory parameters on the survival of individuals with cancer, this research assessed the prognostic significance of the neutrophil-to-lymphocyte ratio (NLR) in individuals diagnosed with locally advanced nasopharyngeal carcinoma (NPC) prior to undergoing intensity-modulated radiation therapy (IMRT).

Methods

A total of 163 individuals diagnosed with locally advanced NPC treated with IMRT at our hospital between January 2012 and December 2017 were included in this research. For each patient, the absolute counts of neutrophils and lymphocytes were recorded, and the NLR was calculated at the first diagnosis. To determine the optimal cut-off values for NLR, receiver operating characteristic (ROC) curve analysis was conducted. The effects of the determined cut-off value on local failure-free survival (LFFS), overall survival (OS), progression-free survival (PFS), and distant failure-free survival (DFFS) were evaluated employing the Cox regression model.

Results

The median follow-up duration for the individuals in this study was 15 months (ranging from 6 to 79 months). According to the determined NLR cut-off value of 3.27, individuals were classified into two groups (high NLR and low NLR). Individuals in the high-NLR group had remarkably poorer 3-year OS (62.8% vs. 91.7%), PFS (51.4% vs. 82.4%), and DFFS (70.7% vs. 89.6%) compared to the low-NLR group. Furthermore, the outcomes of univariate and multivariate survival analyses revealed that NLR served as an independent predictor of DFFS (HR: 2.81, 95% CI: 1.195-6.608, P=0.018), OS (HR: 3.1, 95% CI: 1.211-7.935, P=0.018), and PFS (HR: 2.21, 95% CI: 1.133-4.292, P=0.02).

Conclusions

Elevated NLR exhibited a significant correlation with reduced OS, DFFS, and PFS. These findings suggest that NLR holds promise as a cost-effective and reliable marker for the prediction of clinical outcomes among patients with locoregionally advanced nasopharyngeal carcinoma (LANPC). Furthermore, incorporating NLR into clinical decision-making regarding LANPC treatment strategies may contribute to a more targeted approach aimed at reducing the risk of distant failure.

Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Predictive Factors for Mortality and Length of Hospital Stay after Cardiac Surgery

Background: Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are widely accepted indices positively correlated with disease severity, progression, and mortality. In this study, we tested whether NLR and PLR could predict mortality and length of hospital stay (LOS) after cardiac surgery. Methods: NLR and PLR were calculated on days 0, 3, 5, and 7 postoperatively. A ROC curve was generated to assess their prognostic value; multivariate logistic analysis identified independent risk factors for 90-day mortality. Results: Analysis was performed on 179 patients’ data, 11 of whom (6.15%) died within 90 days. The discriminatory performance for predicting 90-day mortality was better for NLR7 (AUC = 0.925, 95% CI:0.865–0.984) with the optimal cut-off point being 7.10. NLR5 and PLR3 also exhibited a significant strong discriminative performance. Similarly, a significant discriminative performance was prominent for PLR3, NLR5, and NLR7 with respect to LOS. Moreover, NLR7 (OR: 2.143, 95% CI: 1.076–4.267, p = 0.030) and ICU LOS (OR:1.361, 95% CI: 1.045–1.774, p = 0.022) were significant independent risk factors for 90-day mortality. Conclusions: NLR and PLR are efficient predictive factors for 90-day mortality and LOS in cardiac surgery patients. Owing to the simplicity of determining NLR and PLR, their postoperative monitoring may offer a reliable predictor of patients’ outcomes in terms of LOS and mortality.

Analysis of risk characteristics for metachronous metastasis in different period of nasopharyngeal carcinoma

OBJECTIVE

To identify the main risk factors for metachronous metastatic nasopharyngeal carcinoma (NPC) in different periods after radiotherapy and estimate the weight of various factors in the early or late metachronous metastasis (EMM/LMM) groups.

METHODS

This retrospective registry consists of 4434 patients with newly diagnosed NPC. Cox regression analysis was used to assess the independent significance of various risk factors. The Interactive Risk Attributable Program (IRAP) was used to calculate the attributable risks (ARs) for metastatic patients during different periods.

RESULTS

Among 514 metastatic patients, 346 (67.32%) patients diagnosed with metastasis within 2 years after treatment were classified into the EMM group, while other 168 patients were classified into the LMM group. The ARs of T-stage, N-stage, pre-Epstein-Barr virus (EBV) DNA, post-EBV DNA, age, sex, pre-neutrophil-to-lymphocyte ratio, pre-platelet-to-lymphocyte ratio, pre-hemoglobin (HB), and post-HB were 20.19, 67.25, 2.81, 14.28, 18.50, - 11.17%, 14.54, 9.60, 3.74% and - 9.79%, respectively, in the EMM group. In the LMM group, the corresponding ARs were 3.68, 49.11, - 18.04%, 2.19, 6.11, 0.36, 4.62, 19.77, 9.57 and 7.76%, respectively. After multivariable adjustment, the total AR for tumor-related factors was 78.19%, and that for patient-related factors was 26.07% in the EMM group. In the LMM group, the total AR of tumor-related factors was 43.85%, while the weights of patient-related factors was 39.97%. In addition, except for these identified tumor- and patient-related factors, other unevaluated factors played a more important role in patients with late metastasis, with the weight increasing by 15.77%, from 17.76% in the EMM group to 33.53% in the LMM group.

CONCLUSION

Most metachronous metastatic NPC cases occurred in the first 2 years after treatment. Early metastasis was mainly affected by tumor-related factors, which accounted for a declining percentage in the LMM group.

Can the prognosis of individual patients with nasopharyngeal carcinoma be predicted using a routine blood test at admission?

BACKGROUND AND PURPOSE

We sought to determine the prognostic value of a pre-treatment peripheral blood signature and the peripheral blood signature-based nomogram for patients with non-metastatic nasopharyngeal carcinoma (NPC).

MATERIALS AND METHODS

We retrospectively collected 21 peripheral blood indicators from patients with NPC between 2004 and 2015. Data were randomly divided into a training and a validation set (ratio: 6:4). The peripheral blood signature was constructed based on candidate biomarkers using the least absolute shrinkage and selection operator Cox regression model. Multivariable logistic regression was applied to identify the independent risk factors of overall survival to build the nomogram. The predictive value of the peripheral blood nomogram was evaluated using time-dependent area under the curve, decision curve analysis, and calibration curve.

RESULTS

In total, 6668 patients were enrolled with 4000 and 2668 in the training and validation cohorts, respectively. Four peripheral blood indicators, (white blood cell count, lymphocyte percentage, haemoglobin, and mean platelet volume), were included to construct the peripheral blood signature. Patients were divided into low- and high-risk groups using an optimal cut-off value of - 1.71142. Patients in the high-risk group had significantly lower overall, distant metastasis-free, and progression-free survival than patients in the low-risk group in both cohorts (P < 0.05). We constructed and validated a peripheral blood signature-based nomogram in combination with five vital clinical characteristics, (age, sex, tumour stage, nodal stage, and pre-treatment Epstein-Barr virus DNA), which showed favourable performance.

CONCLUSION

Patients with NPC with different outcomes could be distinguished based on their peripheral blood signature score; the proposed peripheral blood signature-based nomogram offers individualised risk estimation.

Prognostic significance of pretreatment systemic immune-inflammation index in patients with prostate cancer: a meta-analysis

BACKGROUND

The SII (systemic immune-inflammation index) has been extensively reported to have a prognostic value in prostate cancer (PCa), despite the unconformable results. The purpose of this meta-analysis is to quantify the effect of pretreatment SII on survival outcomes in patients with PCa.

METHODS

The following databases were searched: Web of Science, Cochrane Library, PubMed, Embase, and China National Knowledge Infrastructure (CNKI). For exploration of the SII's correlations with the overall survival (OS) and the progression-free survival/biochemical recurrence-free survival (PFS/bRFS) in PCa, the pooled hazard ratios (HRs) were assessed within 95% confidence intervals (CIs).

RESULTS

The present meta-analysis covered 10 studies with 8133 patients. Among the PCa population, a high SII was linked significantly to poor OS (HR = 2.63, 95% CI = 1.87-3.70, p < 0.001), and worse PFS/bRFS (HR = 2.49, 95% CI = 1.30-4.77, p = 0.006). However, a high SII was not linked significantly to T stage (OR = 1.69, 95% CI = 0.86-3.33, p = 0.128), the metastasis to lymph node (OR = 1.69, 95% CI = 0.69-4.16, p = 0.251), age (OR = 1.41, 95% CI = 0.88-2.23, p = 0.150), or the Gleason score (OR = 1.32, 95% CI = 0.88-1.96, p = 0.178).

CONCLUSIONS

For the PCa sufferers, the SII might be a promising prognostic biomarker, which is applicable to the high-risk subgroup identification, and provide personalized therapeutic strategies.

A single targeted gamma-ray irradiation induced an acute modulation of immune cells and related cytokines in EMT6 mouse-bearing tumour model

BACKGROUND

A complicated interplay between radiation doses, tumour microenvironment (TME), and host immune system is linked to the active participation of immune response.

OBJECTIVE

The effects of single targeted 2 Gy and 8 Gy gamma-ray irradiations on the immune cell population (lymphocytes, B-cells, T-cells, neutrophils, eosinophils, and macrophages) in EMT6 mouse-bearing tumour models was investigated.

METHODS

The effects of both irradiation doses in early (96 hours) and acute phase (5 to 11 days) post-irradiation on immune parameters were monitored in blood circulation and TME using flow cytometry. Simultaneously, selected cytokines related to immune cells within the TME were measured using multiplex ELISA.

RESULTS

A temporary reduction in systemic total white blood count (TWBC) resulted from an early phase (96 hours) of gamma-ray irradiation at 2 Gy and 8 Gy compared to sham control group. No difference was obtained in the acute phase. Neutrophils dominated among other immune cells in TME in sham control group. Eosinophils in TME was significantly increased after 8 Gy treatment in acute phase compared to sham control (p< 0.005). Furthermore, the increment of tumour necrosis (TNF)-α, eotaxin and interleukin (IL)-7 (p< 0.05) in both treatment groups and phases were associated with anti-tumour activities within TME by gamma-ray irradiation.

CONCLUSION

The temporary changes in immune cell populations within systemic circulation and TME induced by different doses of gamma-ray irradiation correlated with suppression of several pro-tumorigenic cytokines in mouse-bearing EMT6 tumour models.

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.

A nomogram based on tumor response to induction chemotherapy may predict survival in locoregionally advanced nasopharyngeal carcinoma

BACKGROUND

To evaluate the clinical significance of tumor response to induction chemotherapy (IC) in locoregionally advanced nasopharyngeal carcinoma (LANPC) patients and further to develop a nomogram for predicting survival prognosis.

METHODS

A total of 498 patients with stage III-IVA NPC applying IC and concurrent chemotherapy were reviewed (training cohort, n = 376; validation cohort, n = 122).

RESULTS

Tumor response was an independent predictor for clinical outcomes. The nomogram included age, N stage, pretreatment Epstein-Barr virus DNA, lymphocyte-to-monocyte ratio, and tumor response achieved an ideal C-index of 0.703 (95% CI 0.655-0.751) in the validation cohort for predicting overall survival (OS), which outperformed than that of the TNM system alone (C-index, 0.670, 95% CI: 0.622-0.718). In addition, the nomogram could successfully classified patients into different risk groups.

CONCLUSIONS

We established and validated a precise and convenient nomogram based on tumor response for predicting the OS of LANPC patients.

Platelet to Lymphocytes Ratio to Predict Nasopharyngeal Carcinoma Progressivity

BACKGROUND: Nasopharyngeal carcinoma (NPC) is a head and neck cancer that arises from the nasopharyngeal epithelium. It is one of the most common malignancies in Southeast Asia. In 2020, there were 133,354 new cases of NPC worldwide, with 113,659 occurring on the Asian continent (85.2%). In Indonesia, the prevalence of NPC is 6.2/100,000 people, with 13,000 new cases each year. NPC was the most frequent head and neck cancer in the Otorhinolaryngology-Head and Neck Surgery Department Dr. Hasan Sadikin Hospital Bandung from 2013 to 2018, with 921 (35.20%) new cases. AIM: Platelet-to-lymphocyte-ratio (PLR) testing has the potential to be employed as a prognostic marker in the evaluation of NPC. The purpose of this study is to investigate the link between PLR and the clinical stage of NPC. METHODS: Between 2016 and 2020, a cross-sectional study was conducted on NPC patients at Hasan Sadikin Hospital in Bandung. Patient information was gathered from the registry of the Oncology Head and Neck Surgery Study Group. Three hundred and eighty-three people met the requirements for inclusion. RESULTS: Lymph node metastases (p = 0.001), distant metastases (p = 0.001), and clinical stage (p < 0.001) are all classified differently by PLR. The platelet to lymphocytes ratio was linked to lymph node metastasis, distant metastases, and clinical stage in a statistically significant (p < 0.05). Patients with a PLR >287 have a 3.69 times chance of developing distant metastases, while those with a PLR >160 have a 1.38 times chance of progressing to the advanced stage. CONCLUSION: PLR is linked to the nasopharyngeal cancer clinical stage. Furthermore, in NPC patients, PLR can predict advanced stage and distant metastases.

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.

Systematic construction and external validation of an immune-related prognostic model for nasopharyngeal carcinoma

BACKGROUND

We attempted to identify the most reliable immune-related index for predicting nasopharyngeal carcinoma (NPC) prognosis and to reveal its precise and integrated relationship with NPC progression.

METHOD

One thousand seven hundred and six patients with newly diagnosed NPC (1320 from the primary cohort and 386 from the validated cohort) from January 2010 to March 2014 were enrolled. Clinical features and 12 immune-related variables were analyzed.

RESULTS

A high absolute lymphocyte count (ALC; >3.2 × 10⁹ /L) correlated with a poor prognosis of patients with NPC. Significant OS differences were discovered between patients with high ALC and no ALC elevation (p < 0.05, in primary cohort), showing similar prognostic risk to patients with advanced NPC (p > 0.05, in validated cohort). ALC improved the predictive performance of the basic tumor-node-metastasis prognostic model (p = 0.025), which was reliably validated in the external independent cohort.

CONCLUSION

High ALC is a surrogate marker for improved prognostic risk stratification in NPC.

Pretreatment systemic immune-inflammation index predicts survival for non-metastatic nasopharyngeal carcinoma: two independent institutional studies

Objective

This study aimed to evaluate the prognostic value of the pretreatment systemic immune-inflammation index (SII) in non-metastatic nasopharyngeal carcinoma (NPC).

Methods

We retrospectively analyzed the data of 839 patients with non-metastatic NPC recruited from two independent institutions. The training-set cohort and the external validation-set cohort was comprised of 459 and 380 patients from each institution, respectively. The optimal cut-off value of SII was determined, and a prognostic risk stratification model was developed based on the training cohort and further assessed in the validation cohort. The propensity score matching (PSM) method was applied to minimize the confounding effects of unbalanced covariables.

Results

The optimal cut-off value of the SII in the training cohort was 686, which was confirmed using the validation cohort. Multivariate analysis showed that both before and after PSM, SII values > 686 were independently associated with worse progression-free survival (PFS) ratio in both cohorts (before PSM, P = 0.008 and P = 0.008; after PSM, P = 0.008 and P = 0.007, respectively). Based on the analysis of independent prognostic factors of SII and N stage, we developed a categorical risk stratification model, which achieved significant discrimination among risk indexes associated with PFS and distant metastasis-free survival (DMFS) in the training cohort. There was no significant difference in PFS between RT alone and combined therapies within the low- and intermediate-risk groups (5-year PFS, 77.5% vs. 75.3%, P = 0.275). Patients in the high-risk group who received concurrent chemoradiotherapy experienced superior PFS compared with those who received other therapies (5-year PFS, 64.9% vs. 40.3%, P = 0.003).

Conclusion

Pretreatment SII predicts PFS of patients with non-metastatic NPC. Prognostic risk stratification incorporating SII is instructive for selecting individualized treatment.

Influence of Semiquantitative [18F]FDG PET and Hematological Parameters on Survival in HNSCC Patients Using Neural Network Analysis

The aim of this study is to assess the influence of semiquantitative PET-derived parameters as well as hematological parameters in overall survival in HNSCC patients using neural network analysis. Retrospective analysis was performed on 106 previously untreated HNSCC patients. Several PET-derived parameters (SUV_max, SUV_mean, TotalSUV, MTV, TLG, TLR_max, TLR_mean, TLR_TLG, and HI) for primary tumor and lymph node with highest activity were assessed. Additionally, hematological parameters (LEU, LEU%, NEU, NEU%, MON, MON%, PLT, PLT%, NRL, and LMR) were also assessed. Patients were divided according to the diagnosis into the good and bad group. The data were evaluated using an artificial neural network (Neural Analyzer version 2.9.5) and conventional statistic. Statistically significant differences in PET-derived parameters in 5-year survival rate between group of patients with worse prognosis and good prognosis were shown in primary tumor SUV_max (10.0 vs. 7.7; p = 0.040), SUV_mean (5.4 vs. 4.4; p = 0.047), MTV (23.2 vs. 14.5; p = 0.010), and TLG (155.0 vs. 87.5; p = 0.05), and mean liver TLG (27.8 vs. 30.4; p = 0.031), TLR_max (3.8 vs. 2.6; p = 0.019), TLR_mean (2.8 vs. 1.9; p = 0.018), and in TLR_TLG (5.6 vs. 2.3; p = 0.042). From hematological parameters, only LMR showed significant differences (2.5 vs. 3.2; p = 0.009). Final neural network showed that for ages above 60, primary tumors SUV_max, TotalSUV, MTV, TLG, TLR_max, and TLR_mean over (9.7, 2255, 20.6, 145, 3.6, 2.6, respectively) are associated with worse survival. Our study shows that the neural network could serve as a supplement to PET-derived parameters and is helpful in finding prognostic parameters for overall survival in HNSCC.

Prognostic and clinicopathological significance of lymphocyte-to-monocyte ratio in patients with nasopharyngeal carcinoma: A meta-analysis

BACKGROUND

This study aimed to evaluate the prognostic effect of LMR in NPC through meta-analysis.

METHODS

The prognostic value of LMR for overall survival (OS) and disease-free survival (DFS)/progression-free survival (PFS) was evaluated by pooling hazard ratios (HRs) and 95% confidence intervals (CIs). The association between LMR and clinicopathological characteristics was estimated by using odds ratios (ORs) and 95% CIs.

RESULTS

A total of 7 studies with 3773 patients were included in this meta-analysis. The results showed that a low LMR was associated with poor OS (HR = 1.94, 95%CI = 1.71-2.20, p < 0.001) and reduced DFS/PFS (HR = 1.51, 95%CI = 1.23-1.85, p < 0.001) in NPC. Furthermore, a low LMR was significantly associated with male sex (OR = 1.34, 95%CI = 1.12-1.59, p = 0.001), T3-T4 stage (OR = 1.58, 95%CI = 1.02-2.45, p = 0.040), and tumor stage III-IV (OR = 1.54, 95%CI = 1.22-1.95, p < 0.001).

CONCLUSIONS

Our study indicated that a low LMR was correlated with poor survival and advanced tumor stage in patients with NPC.

Intertwined leukocyte balances in tumours and peripheral blood as robust predictors of right and left colorectal cancer survival

BACKGROUND

Colorectal cancer (CRC) accounts for 9.4% of overall cancer deaths, ranking second after lung cancer. Despite the large number of factors tested to predict their outcome, most patients with similar variables show big differences in survival. Moreover, right-sided CRC (RCRC) and left-sided CRC (LCRC) patients exhibit large differences in outcome after surgical intervention as assessed by preoperative blood leukocyte status. We hypothesised that stronger indexes than circulating (blood) leukocyte ratios to predict RCRC and LCRC patient outcomes will result from combining both circulating and infiltrated (tumour/peritumour fixed tissues) concentrations of leukocytes.

AIM

To seek variables involving leukocyte balances in peripheral blood and tumour tissues and to predict the outcome of CRC patients.

METHODS

Sixty-five patients diagnosed with colon adenocarcinoma by the Digestive Surgery Service of the La Paz University Hospital (Madrid, Spain) were enrolled in this study: 43 with RCRC and 22 with LCRC. Patients were followed-up from January 2017 to March 2021 to record overall survival (OS) and recurrence-free survival (RFS) after surgical interventions. Leukocyte concentrations in peripheral blood were determined by routine laboratory protocols. Paraffin-fixed samples of tumour and peritumoural tissues were assessed for leukocyte concentrations by immunohistochemical detection of CD4, CD8, and CD14 marker expression. Ratios of leukocyte concentration in blood and tissues were calculated and evaluated for their predictor values for OS and RFS with Spearman correlations and Cox univariate and multivariate proportional hazards regression, followed by the calculation of the receiver-operating characteristic and area under the curve (AUC) and the determination of Youden’s optimal cutoff values for those variables that significantly correlated with either RCRC or LCRC patient outcomes. RCRC patients from the cohort were randomly assigned to modelling and validation sets, and clinician-friendly nomograms were developed to predict OS and RFS from the respective significant indexes. The accuracy of the model was evaluated using calibration and validation plots.

RESULTS

The relationship of leukocyte ratios in blood and peritumour resulted in six robust predictors of worse OS in RCRC: CD8⁺ lymphocyte content in peritumour (CD8_pt, AUC = 0.585, cutoff < 8.250, P = 0.0077); total lymphocyte content in peritumour (CD4CD8_pt, AUC = 0.550, cutoff < 10.160, P = 0.0188); lymphocyte-to-monocyte ratio in peritumour (LMR_pt, AUC = 0.807, cutoff < 3.185, P = 0.0028); CD8⁺ LMR in peritumour (CD8MR_pt, AUC = 0.757, cutoff < 1.650, P = 0.0007); the ratio of blood LMR to LMR in peritumour (LMR_b/LMR_pt, AUC = 0.672, cutoff > 0.985, P = 0.0244); and the ratio of blood LMR to CD8⁺ LMR in peritumour (LMR_b/CD8MR_pt, AUC = 0.601, cutoff > 1.485, P = 0.0101). In addition, three robust predictors of worse RFS in RCRC were found: LMR_pt (AUC = 0.737, cutoff < 3.185, P = 0.0046); LMR_b/LMR_pt (AUC = 0.678, cutoff > 0.985, P = 0.0155) and LMR_b/CD8MR_pt (AUC = 0.615, cutoff > 1.485, P = 0.0141). Furthermore, the ratio of blood LMR to CD4⁺ LMR in peritumour (LMR_b/CD4MR_pt, AUC = 0.786, cutoff > 10.570, P = 0.0416) was found to robustly predict poorer OS in LCRC patients. The nomograms showed moderate accuracy in predicting OS and RFS in RCRC patients, with concordance index of 0.600 and 0.605, respectively.

CONCLUSION

Easily obtainable variables at preoperative consultation, defining the status of leukocyte balances between peripheral blood and peritumoural tissues, are robust predictors for OS and RFS of both RCRC and LCRC patients.

Predictive Value of Pretreatment Lymphocyte-to-Monocyte Ratio and Platelet-to-Lymphocyte Ratio in the Survival of Nasopharyngeal Carcinoma Patients

Objective

The present study aimed to investigate the predictive value of some indexes, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory response index (SIRI), and systemic immune-inflammatory index (SII) in the survival of nasopharyngeal carcinoma (NPC) and provide reference for the treatment.

Methods

A retrospective analysis was performed on 216 patients from 2016 to 2018. The cutoff values of these indexes were determined by the receiver operating characteristic (ROC) curve. The prognostic value of the indexes was evaluated according to the rate of overall survival (OS), regional recurrence-free survival (RRFS), locoregional recurrence-free survival (LRRFS), and distant metastasis-free survival (DMFS).

Results

The survival analysis showed that NLR ≤2.695 (P = 0.017) and PLR ≤140.065 (P = 0.041) were associated with poor OS; however, the LMR and SIRI showed no significant statistical significance. NLR ≤2.045 (P = 0.018) and PLR ≤125.605 (P = 0.003) were associated with poor RRFS, LMR ≤2.535 (P = 0.027) and PLR ≤140.065 (P = 0.009) were associated with poor DMFS, NLR ≤2.125 (P = 0.018) and PLR ≤132.645 (P = 0.026) were associated with poor LRRFS, respectively. Logistic regression analysis showed that low LMR (≤2.535) was significantly inferior in OS (HR 23.085, 95% CI 3.425–155.622, P = 0.001) and DMFS (HR 22.839, 95% CI 4.096–127.343, P < 0.001). Moreover, low PLR (≤140.065) remained significantly related to worse OS (HR 11.908, 95% CI 1.295–109.517, P = 0.029) and DMFS (HR 9.556, 95% CI 1.448–63.088, P = 0.019).

Conclusion

The index LMR and PLR can be used for predicting survival in NPC patients.

Role of Pretreatment Hemoglobin-to-Platelet Ratio in Predicting Survival Outcome of Locally Advanced Nasopharyngeal Carcinoma Patients

Background

The three-year survival rate of locally advanced nasopharyngeal carcinoma (NPC) patients in Indonesia is lower than in other Asian countries. Calculation of hemoglobin-to-platelet ratio (HPR) may become a more practical predictor than the ratios using leukocyte cell components. Yet, no study has been conducted to investigate the potential of HPR in predicting survival outcomes in locally advanced nasopharyngeal cancer patients.

Objective

To determine the role of pretreatment hemoglobin-to-platelet ratio in predicting the three-year overall survival (OS) of locally advanced NPC.

Method

A retrospective cohort study followed up on 289 locally advanced NPC patients who had undergone therapy at the Dr. Cipto Mangunkusumo National General Hospital between January 2012 and October 2016. HPR cut-off was determined using ROC. Subjects were classified into two groups according to the HPR value. Kaplan-Meier curve was utilized to illustrate patients' three-year survival, and Cox regression test analyzed confounding variables to yield an adjusted hazard ratio (HR).

Results

The optimal cut-off for HPR was 0.362 (AUC 0.6228, 95% CI: 0.56-0.69, sensitivity 61.27%, specificity 60.34%). Of the subjects, 48.44% had HPR ≤ 0.362, and they had a higher three-year mortality rate than those with HPR > 0.362 (50% vs. 31.54%). In bivariate analysis, HPR ≤ 0.362 and age ≥ 60 significantly showed a worse three-year OS (p value = 0.003 and 0.075, respectively). In multivariate analysis, we concluded that a pretreatment HPR ≤ 0.362 was an independent negative predictor of three-year OS in locally advanced NPC patients (adjusted HR 1.82; 95% CI: 1.25–2.65).

Conclusion

Pretreatment HPR ≤ 0.362 was a negative predictor of three-year OS in locally advanced nasopharyngeal cancer patients.

Neutrophil to apolipoprotein A-I ratio as an independent indicator of locally advanced nasopharyngeal carcinoma

PURPOSE

To explore the peripheral blood cells (neutrophil/monocyte/lymphocyte/platelet) to apolipoprotein AI or high-density lipoprotein-cholesterol ratio (NAR, MAR, LAR, PAR, NHR, MHR, LHR, and PHR) as independent prognostic indicators for stage III nasopharyngeal carcinoma (NPC).

PATIENTS AND METHODS

Between 2009 and 2014, 562 patients diagnosed with stage III NPC who were treated with a concomitant chemotherapy and intensity-modulated radiotherapy with cumulative cisplatin dose ≥200 mg/m2 were included in this retrospective study. Routine blood and biochemical variables and baseline clinical characteristics (T and N stage, age, sex, and induction chemotherapy) were collected. After inserting 19 hematological parameters into a set, we applied the least absolute shrinkage and selection operator (LASSO) algorithm and restricted cubic splines regression to select valuable parameters for predicting 5-year overall survival (OS). Subsequently, univariate and multivariate survival analyses were used to assess independent indicators of 5-year OS, distant metastasis survival, regional recurrence-free survival (RRFS), and disease-free survival.

RESULTS

NAR, MAR, serum lactated dehydrogenase (LDH), and Epstein-Barr virus (EBV)-DNA were selected using LASSO regression, and the optimal cut-off values for NAR, MAR, EBV-DNA, and, LDH were 4.39, 0.3, 1590 copies/mL, and 218.4 IU/L, respectively. In multivariate survival analysis, higher NAR was associated with both poor 5-year OS and RRFS (hazard ratio [HR], 1.88; 95% confidence interval [CI], 1.09-3.25, P = .024; HR, 3.13; 95% CI, 1.42-6.91, P = .005, respectively).

CONCLUSION

NAR could be an attractive indicator for evaluating the 5-year OS in patients with stage III NPC, which is closely related to inflammation and circulating lipid metabolism.Level of Evidence: 4.

Prognostic Factors for Overall Survival in Nasopharyngeal Cancer and Implication for TNM Staging by UICC: A Systematic Review of the Literature

This study aims to identify prognostic factors in nasopharyngeal carcinoma (NPC) to improve the current 8th edition TNM classification. A systematic review of the literature reported between 2013 and 2019 in PubMed, Embase, and Scopus was conducted. Studies were included if (1) original clinical studies, (2) ≥50 NPC patients, and (3) analyses on the association between prognostic factors and overall survival. The data elements of eligible studies were abstracted and analyzed. A level of evidence was synthesized for each suggested change to the TNM staging and prognostic factors. Of 5,595 studies screened, 108 studies (44 studies on anatomical criteria and 64 on non-anatomical factors) were selected. Proposed changes/factors with strong evidence included the upstaging paranasal sinus to T4, defining parotid lymph node as N3, upstaging N-category based on presence of lymph node necrosis, as well as the incorporation of non-TNM factors including EBV-DNA level, primary gross tumor volume (GTV), nodal GTV, neutrophil-lymphocyte ratio, lactate dehydrogenase, C-reactive protein/albumin ratio, platelet count, SUVmax of the primary tumor, and total lesion glycolysis. This systematic review provides a useful summary of suggestions and prognostic factors that potentially improve the current staging system. Further validation studies are warranted to confirm their significance.

Prognostic Value of Inflammatory Markers in Nasopharyngeal Carcinoma Patients in the Intensity-Modulated Radiotherapy Era

Purpose

Inflammatory markers have been widely used in various cancers, but rarely in nasopharyngeal carcinoma (NPC). Here, we evaluated the prognostic value of pretreatment neutrophil-to-lymphocyte ratio (NLR), platelet-lymphocyte-ratio (PLR), systemic immune index (SII), and systemic inflammation response index (SIRI) on NPC in the intensity-modulated radiotherapy (IMRT) era.

Methods

We retrospectively analyzed data from NPC patients from the Renmin Hospital of Wuhan University, between January 2012 and July 2020. We used Chi-square test or Fisher’s exact test to compare the baseline characteristics, then applied Kaplan–Meier (K-M) survival analysis to compare the overall survival (OS) and progression-free survival (PFS) rates. Multivariate Cox proportional risk models were applied to identify independent prognostic factors.

Results

We enrolled a total of 342 NPC patients and found optimal cut-off values of 2.65, 184.91, 804.08, and 1.34 for NLR, PLR, SII, and SIRI, respectively. K-M survival analysis revealed that high NLR, PLR, SII, and SIRI were significantly associated with worse OS and PFS relative to those in the low groups. Results from univariate Cox analysis showed that clinical, T, and M stages, as well as NLR, PLR, SII, and SIRI were associated with OS, whereas age, alongside the aforementioned parameters, was associated with PFS. Moreover, multivariate Cox analysis showed that age ≥49 years (HR=2.48, 95% CI=1.21–5.05, P=0.013) and M1 stage (HR=3.84, 95% CI=1.52–9.73, P=0.013) were independent prognostic factors for OS, whereas SIRI ≥1.34 (HR=1.91, 95% CI=1.05–3.47, P=0.034) and M1 stage (HR=2.91, 95% CI=1.44–5.86, P=0.003) were independent prognostic factors for PFS.

Conclusion

Overall, our findings indicated that high NLR, PLR, SII, and SIRI were significantly associated with poor OS and PFS in NPC patients. High SIRI may be an independent risk factor for PFS of NPC patients in the IMRT era.

Survival Time among Young and Old Breast Cancer Patients in Relation to Circulating Blood-Based Biomarkers, Acute Radiation Skin Reactions, and Tumour Recurrence

INTRODUCTION

It has been suggested that age could influence the treatment-induced side effects and survival time of cancer patients. The influence of age on blood-based biomarkers, acute radiation skin reactions (ARSRs), and survival time of breast cancer patients was analysed.

MATERIALS AND METHODS

Two hundred ninety-three individuals, 119 breast cancer patients, and 174 healthy blood donors were included.

RESULTS

Before radiotherapy (RT), decreased levels of lymphocytes, interleukin 2, platelet-derived growth factors, and tumour necrosis factor but increased levels of monocyte-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, C-reactive protein, and macrophage inflammatory protein 1b (MIP1b) were detected in the patient group. All of the patients developed ARSRs and intensity of ARSRs was inversely related to the MIP1b level before RT. Fifteen out of 119 (13%) patients deceased during follow-up time. No influence of age (≤50 compared to >50 years) on survival time was detected (p = 0.442). Tumour recurrence, found in 11 out of 119 (9%) patients, had impact on survival time of these patients (p < 0.001).

CONCLUSIONS

The level of circulating MIP1b before RT was associated with intensity of ARSRs. Tumour recurrence, but not age, was associated with poor survival time. Analysis of circulating MIP1b was low cost, rapid, and could be done in routine laboratory facility. Since RT almost always induces ARSRs, the possibility of using MIP1b as a prognostic biomarker for ARSRs is of interests for further investigation.

The prognostic value of before treatment neutrophil-to-lymphocyte ratio in nasopharyngeal carcinoma

OBJECTIVE

The aim of this analysis was to evaluate the prognostic significance of inflammatory biomarkers (NLR, dNLR, PLR and LMR) in NPC patients.

METHODS

This was a retrospective analysis of 111 NPC patients from January 2013 and December 2016. Receiver-operating characteristic (ROC) curve was plotted to determine the cut-off values of these inflammatory biomarkers. Univariate analysis and multivariate Cox regression model were used to evaluate the association between these parameters and progression-free survival (PFS) and overall survival (OS).

RESULTS

The optimal critical value of NLR was 2.02, by which cases were divided into high NLR group (NLR ≥ 2.02) and low NLR group (NLR < 2.02). The elevated NLR was significantly associated with decreased OS (P = 0.009) and remained significant in multivariate analysis (HR 8.48, 95% CI 1.69-42.46, P = 0.009).

CONCLUSIONS

The before treatment NLR may be an independent prognostic biomarker for OS in patients with NPC. NLR, dNLR and PLR might be a useful complement to TNM staging in the prognosis evaluation of NPC patients.

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.

Comparison of Selected Immune and Hematological Parameters and Their Impact on Survival in Patients with HPV-Related and HPV-Unrelated Oropharyngeal Cancer

Simple Summary

This is a research article on oropharyngeal cancer (OPC). The aim of the study was to assess and compare basic immune parameters and ratios in patients with Human Papilloma Virus (HPV)+ and HPV− OPC, before and after radiotherapy (RT) or chemoradiotherapy (CRT), and to investigate their impact on overall survival (OS) and disease-free survival (DFS). The higher neutrophil-lymphocyte ratio (NLR) and systemic immune inflammation (SII) are significant adverse prognostic factors for HPV+ OPC patients, because they are significantly associated with both inferior OS and DFS in this group, whereas the higher platelet cells (PLT) count is significant adverse prognostic factor for HPV− OPC patients, because it is significantly associated with inferior OS and DFS in this group. This study confirmed that determination of HPV etiology as well as analysis of various hematological and immune parameters should be a standard management in OPC patients in order to properly treat them for improved prognosis.

Abstract

Several immune and hematological parameters are associated with survival in patients with oropharyngeal cancer (OPC). The aim of the study was to analyze selected immune and hematological parameters of patients with HPV-related (HPV+) and HPV-unrelated (HPV−) OPC, before and after radiotherapy/chemoradiotherapy (RT/CRT) and to assess the impact of these parameters on survival. One hundred twenty seven patients with HPV+ and HPV− OPC, treated with RT alone or concurrent chemoradiotherapy (CRT), were included. Patients were divided according to HPV status. Confirmation of HPV etiology was obtained from FFPE (Formalin-Fixed, Paraffin-Embedded) tissue samples and/or extracellular circulating HPV DNA was determined. The pre-treatment and post-treatment laboratory blood parameters were compared in both groups. The neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), and systemic immune inflammation (SII) index were calculated. The impact of these parameters on overall (OS) and disease-free (DFS) survival was analyzed. In HPV+ patients, a high pre-treatment white blood cells (WBC) count (>8.33 /mm³), NLR (>2.13), SII (>448.60) significantly correlated with reduced OS, whereas high NLR (>2.29), SII (>462.58) significantly correlated with reduced DFS. A higher pre-treatment NLR and SII were significant poor prognostic factors for both OS and DFS in the HPV+ group. These associations were not apparent in HPV− patients. There are different pre-treatment and post-treatment immune and hematological prognostic factors for OS and DFS in HPV+ and HPV− patients. The immune ratios could be considered valuable biomarkers for risk stratification and differentiation for HPV− and HPV+ OPC patients.

Prognostic and Predictive Value of Circulating Inflammation Signature in Non-Metastatic Nasopharyngeal Carcinoma: Potential Role for Individualized Induction Chemotherapy

Purpose

We sought to assess the prognostic and predictive value of a circulating inflammation signature (CISIG) and develop CISIG-based tools for predicting prognosis and guiding individualized induction chemotherapy (ICT) in non-metastatic nasopharyngeal carcinoma (NPC).

Patients and Methods

We retrospectively collected a candidate inflammatory biomarker panel from patients with NPC treated with definitive radiotherapy between 2012 and 2017. We developed the CISIG using candidate biomarkers identified by a least absolute shrinkage and selection operator (LASSO) Cox regression model. The Cox regression analyses were used to evaluate the CISIG prognostic value. A CISIG-based prediction model was constructed, validated, and assessed. Potential stratified ICT treatment effects were examined.

Results

A total of 1149 patients were analyzed. Nine biomarkers selected by LASSO regression in the training cohort were used to construct the CISIG, including hyaluronidase, laminin, procollagen III, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, high-density lipoprotein, lactate dehydrogenase, and C-reactive protein-to-albumin ratio. CISIG was an independent prognostic factor for disease-free survival (DFS; hazard ratio: 2.65, 95% confidence interval: 1.93–3.64; P < 0.001). High CISIG group (>−0.2) was associated with worse 3-year DFS than low CISIG group in both the training (67.5% vs 88.3%, P < 0.001) and validation cohorts (72.3% vs 85.1%, P < 0.001). We constructed and validated a CISIG-based nomogram, which showed better performance than the clinical stage and Epstein–Barr virus DNA classification methods. A significant interaction between CISIG and the ICT treatment effect was observed (P for interaction = 0.036). Patients with high CISIG values did not benefit from ICT, whereas patients with low CISIG values significantly benefited from ICT.

Conclusion

The developed CISIG, based on a circulating inflammatory biomarker panel, adds prognostic information for patients with NPC. The proposed CISIG-based tools offer individualized risk estimation to facilitate suitable ICT candidate identification.

A Model Combining Skeletal Muscle Mass and a Hematological Biomarker to Predict Survival in Patients With Nasopharyngeal Carcinoma Undergoing Concurrent Chemoradiotherapy

Background

Using the current tumor lymph node metastasis (TNM) staging system to make treatment decisions and predict survival in patients with nasopharyngeal carcinoma (NPC) lacks sufficient accuracy. Patients at the same stage often have different survival prognoses.

Methods

In the current study 802 NPC patients who underwent concurrent radiotherapy and chemotherapy from January 2010 to December 2014 at Sun Yat-sen University Cancer Center in China were retrospectively assessed. The optimal cut-off points for skeletal muscle index (SMI) and monocyte-to-lymphocyte ratio (MLR) were determined via receiver operating characteristic curves. SMI-MLR (S-M) grade and a nomogram were developed and used as clinical indicators in NPC patients. The consistency index (C-index) and a calibration curve were used to measure the accuracy and discriminative capacity of prediction.

Results

The predictive performance of S-M grade was better than that of TNM staging (C-index 0.639, range 0.578–0.701 vs. 0.605, range 0.545–0.665; p = 0.037). In multivariate analysis S-M grade, T stage, and N stage were independent prognostic factors. These three factors were then combined, yielding a nomogram with a C-index of 0.71 (range 0.64–0.77), indicating good predictive capacity.

Conclusion

We developed and validated a prognostic parameter, S-M grade, which increased prediction accuracy significantly and can be combined with TNM staging to predict survival in patients with NPC undergoing concurrent chemoradiotherapy.

Monocytic Myeloid-Derived Suppressor Cells Underpin Resistance to Adoptive T Cell Therapy in Nasopharyngeal Carcinoma

Advanced, late-stage Epstein-Barr virus (EBV)-positive nasopharyngeal carcinoma (NPC) is incurable, and its treatment remains a clinical and therapeutic challenge. Results from a phase II clinical trial in advanced NPC patients employing a combined chemotherapy and EBV-specific T cell (EBVST) immunotherapy regimen showed a response rate of 71.4%. Longitudinal analysis of patient samples showed that an increase in EBV DNA plasma concentrations and the peripheral monocyte-to-lymphocyte ratio negatively correlated with overall survival. These parameters were combined into a multivariate analysis to stratify patients according to risk of death. Immunophenotyping at serial time points showed that low-risk individuals displayed significantly decreased amounts of monocytic myeloid-derived suppressor cells postchemotherapy, which subsequently influenced successful cytotoxic T-lymphocyte (CTL) immunotherapy. Examination of the low-risk group, 2 weeks post-EBVST infusion, showed that individuals with a greater overall survival possessed an increased frequency of CD8 central and effector memory T cells, together with higher levels of plasma interferon (IFN)-γ, and cytotoxic lymphocyte-associated transcripts. These results highlight the importance of the rational selection of chemotherapeutic agents and consideration of their impact on both systemic immune responses and downstream cellular immunotherapy outcomes.

Systemic Inflammation Response Index Is a Predictor of Poor Survival in Locally Advanced Nasopharyngeal Carcinoma: A Propensity Score Matching Study

Introduction

Nasopharyngeal carcinoma (NPC) is a common malignancy in China and known prognostic factors are limited. In this study, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) were evaluated as prognostic factors in locally advanced NPC patients.

Materials and Methods

NPC patients who received curative radiation or chemoradiation between January 2012 and December 2015 at the Second Xiangya Hospital were retrospectively reviewed, and a total of 516 patients were shortlisted. After propensity score matching (PSM), 417 patients were eventually enrolled. Laboratory and clinical data were collected from the patients' records. Receiver operating characteristic curve analysis was used to determine the optimal cut-off value. Survival curves were analyzed using the Kaplan-Meier method. The Cox proportional hazard model was used to identify prognostic variables.

Results

After PSM, all basic characteristics between patients in the high SIRI group and low SIRI group were balanced except for sex (p=0.001) and clinical stage (p=0.036). Univariate analysis showed that NLR (p=0.001), PLR (p=0.008), SII (p=0.001), and SIRI (p<0.001) were prognostic factors for progression-free survival (PFS) and overall survival (OS). However, further multivariate Cox regression analysis showed that only SIRI was an independent predictor of PFS and OS (hazard ratio (HR):2.83; 95% confidence interval (CI): 1.561-5.131; p=0.001, HR: 5.19; 95% CI: 2.588-10.406; p<0.001), respectively.

Conclusion

Our findings indicate that SIRI might be a promising predictive indicator of locally advanced NPC patients.

Clinical impact of monocyte distribution width and neutrophil-to-lymphocyte ratio for distinguishing COVID-19 and influenza from other upper respiratory tract infections: A pilot study

The coronavirus disease 2019 (COVID-19) has become a pandemic. Rapidly distinguishing COVID-19 from other respiratory infections is a challenge for first-line health care providers. This retrospective study was conducted at the Taipei Medical University Hospital, Taiwan. Patients who visited the outdoor epidemic prevention screening station for respiratory infection from February 19 to April 30, 2020, were evaluated for blood biomarkers to distinguish COVID-19 from other respiratory infections. Monocyte distribution width (MDW) ≥ 20 (odds ratio [OR]: 8.39, p = 0.0110, area under curve [AUC]: 0.703) and neutrophil-to-lymphocyte ratio (NLR) < 3.2 (OR: 4.23, p = 0.0494, AUC: 0.673) could independently distinguish COVID-19 from common upper respiratory tract infections (URIs). Combining MDW ≥ 20 and NLR < 3.2 was more efficient in identifying COVID-19 (AUC: 0.840). Moreover, MDW ≥ 20 and NLR > 5 effectively identified influenza infection (AUC: 0.7055). Thus, MDW and NLR can distinguish COVID-19 from influenza and URIs.

The Prognostic Value of Inflammation Factors in Hepatocellular Carcinoma Patients with Hepatic Artery Interventional Treatments: A Retrospective Study

Background

Hepatic artery interventional therapy has been recognized as the first choice for advanced liver cancer. However, reliable prognostic markers are still lacking. In the present study, we aimed to evaluate the prognostic value of inflammation factors including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and monocyte to lymphocyte ratio (MLR) in hepatocellular carcinoma (HCC) patients with hepatic artery interventional treatments.

Methods

Patients undergoing hepatic artery interventional therapy after being diagnosed with HCC between 2007 and 2014 were enrolled. Pre-treatment NLR, PLR and MLR were calculated, and all factors including gender, age, TNM stage, BCLC staging, inflammation factors, LDH, ALP, CEA, AFP, hepatitis, liver cirrhosis, portal vein involvement, surgical history and hepatic artery interventional treatment on overall survival (OS) were evaluated by the univariate and multivariate Cox proportional hazards analyses.

Results

Overall, 407 patients were included. The optimal cutoff values determined by receiver operating characteristic (ROC) curve analyses for NLR, PLR and MLR were 3.82, 140.00 and 0.27, respectively. High NLR was associated with worse OS (median survival time: high NLR group 9 vs low NLR group 19 months, HR 1.842, 95% CI: 1.457–2.329, P<0.001). Elevated PLR was negatively correlated with OS (8 vs 18 months, HR 1.677, 95% CI: 1.302–2.161, P<0.001). Patients in high MLR group had a worse OS (10 vs 21 months, HR 1.626, 95% CI: 1.291–2.048, P<0.001). In multivariate analysis, NLR, LDH, ALP and portal vein involvement were independent prognostic factors for OS of HCC patients after hepatic artery interventional therapy. In addition, for patients in BCLC stage A and B, higher NLR, PLR and MLR were all significantly negatively correlated to median survival time (NLR: 17 vs 26 months, HR: 1.739 (95% CI: 1.279–2.365), P<0.001; PLR: 18 vs 26 months, HR: 1.681 (95% CI: 1.245–2.271), P=0.001; MLR: 20 vs 26 months, HR: 1.589 (95% CI: 1.185–2.129), P=0.002).

Conclusion

Elevated pre-treatment NLR, PLR and MLR were associated with worse survival time in HCC patients after hepatic artery interventional therapy. Among them, NLR was an independent prognostic factor for OS.

Associations of procalcitonin, C-reaction protein and neutrophil-to-lymphocyte ratio with mortality in hospitalized COVID-19 patients in China

Coronavirus disease 2019 (COVID-19) is an important and urgent threat to global health. Inflammation factors are important for COVID-19 mortality, and we aim to explore whether the baseline levels of procalcitonin (PCT), C-reaction protein (CRP) and neutrophil-to-lymphocyte ratio (NLR) are associated with an increased risk of mortality in patients with COVID-19. A retrospective study was conducted and a total of 76 patients with confirmed COVID-19 were included between January 17, 2020 to March 2, 2020, of these cases, 17 patients were dead. After adjusting covariates, PCT (≥ 0.10 ng/mL) and CRP (≥ 52.14 mg/L) exhibited independent increasing risks of mortality were used hazard ratio (HR) of 52.68 (95% confidence interval [CI]: 1.77–1571.66) and 5.47 (95% CI: 1.04–28.72), respectively. However, NRL (≥ 3.59) was not found to be an independent risk factor for death in our study. Furthermore, the elevated PCT levels were still associated with increasing risk of mortality in the old age group (age ≥ 60 y), and in the critically severe and severe patients after adjustment for complications. Thu Baseline levels of PCT and CRP have been addressed as independent predictors of mortality in patients with COVID-19.

The combination of platelet count and lymphocyte to monocyte ratio is a prognostic factor in patients with resected breast cancer

Many inflammation indicators have been reported to be related with patient outcomes in various cancers. Previous studies have evaluated the combination of platelet (PLT) and lymphocyte to monocyte ratio (COP-LMR) as a systemic inflammatory marker for prognostication in lung cancer, yet its prognostic role among breast cancer patients remains unclear.In the present study, a total of 409 breast cancer patients with surgical resection were retrospectively investigated. The receiver operating characteristic (ROC) curve was used to choose the optimal cut-off value of PLT and lymphocyte to monocyte ratio (LMR). Patients were classified into 3 groups according to the score of COP-LMR, and its relationship with various clinicopathological factors and breast cancer prognosis were further evaluated.The ROC curve analysis showed that COP-LMR had a higher area under the ROC curve for the prediction of 5-year disease-free survival and overall survival than PLT or LMR alone. Multivariable analysis showed that an elevated COP-LMR was an independent predictor of poor disease-free survival (P = .032) and overall survival (P = .005). Subgroup analysis revealed that COP-LMR was still significantly associated with prognosis in both luminal A and luminal B subtypes.Preoperative COP-LMR is a potential prognostic factor in breast cancer patients who underwent surgery.

Prognostic value of an inflammatory biomarker-based clinical algorithm in septic patients in the emergency department: An observational study

BACKGROUND

To develop an inflammatory biomarker-based, simple-to-use nomogram for the early identification of septic patients at high risk of mortality in the emergency department (ED).

METHODS

All patients diagnosed with sepsis admitted to the intensive care unit (ICU) from the ED were screened from the Medical Information Mart for Intensive Care III database and divided into two cohorts: the primary cohort and the validation cohort. We used bivariate logistic regression analysis to determine independent risk factors and to construct a predictive nomogram and subsequently evaluated the calibration, discrimination and clinical usefulness of the nomogram. The gradient boosting machine (GBM) model was used to more accurately evaluate these variables.

RESULTS

A total of 5663 admissions were enrolled, of which 3964 comprised the primary cohort and 1699 comprised the validation group, with 28-day mortality rates of 21.2% and 20.4%, respectively. Age > 69, neutrophil-to-lymphocyte ratio (NLR) > 9.8, platelet-to-lymphocyte ratio (PLR) > 249.89, lymphocyte-to-monocyte ratio (LMR) ≤ 2.18, and red cell distribution width (RDW) were detected as important determinants of 28-day mortality and included in the nomogram. The calibration plot revealed an adequate fit of the nomogram for predicting the risk of 28-day mortality. Regarding discriminative ability, receiver operating characteristic curve analysis showed that the nomogram had an area under the curve (AUC) of 0.826 (95% CI: 0.811-0.841, P < 0.001) in the primary cohort, which was greater than that of all individual parameters and other scores. Decision curve analysis also indicated that our nomogram was feasible in clinical practice, as the threshold probabilities were 0-0.62 for the primary cohort. The GBM model yielded a significantly greater AUC of up to 0.867.

CONCLUSIONS

This proposed simple-to-use nomogram based on age, NLR, PLR, LMR and RDW provides a relatively accurate mortality prediction for septic patients in the ED.

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.

Platelet-Lymphocyte Ratio as a Predictor of Prognosis in Head and Neck Cancer: A Systematic Review and Meta-Analysis

The aim of this systematic review and meta-analysis was to investigate the prognostic utility of the platelet-to-lymphocyte ratio (PLR) in head and neck cancer. Medline (via PubMed), EMBASE, Scopus, and the Cochrane Library databases were searched from their inception to May 2017 for relevant literature. A systematic review and meta-analysis were performed to generate the pooled hazard ratios (HR) for overall survival (OS) and disease-specific survival (DSS). The study was conducted in accordance with the Cochrane Handbook and PRISMA guidelines. Risk of bias was assessed using the QUIPS tool. The logarithm of the HR with standard error was used as the primary summary statistic. Heterogeneity was assessed using Cochran's Q and Higgins' I2. A total of 13 studies were included in the final analysis, combining data from 4,541 patients. The results demonstrated that an elevated PLR was significantly associated with poorer OS [HR 1.85, 95% CI 1.35-2.52, p < 0.00001] and DSS [HR 1.57, 95% CI 1.25-1.97, p < 0.0001]. Significant heterogeneity was detected for the pooled end points. Subgroup analysis demonstrated reduction of heterogeneity by controlling for sample size and cutoff value. 95% prediction intervals showed wide ranges crossing the null threshold.

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.

The value of preoperative lymphocytes-to-monocytes ratio in predicting lymph node metastasis in gastric cancer

Background

This study was aimed to evaluate value of preoperative lymphocytes-to-monocytes ratio (LMR) as a predictor for lymph node metastasis in gastric cancer.

Methods

Patients with pathologically diagnosed malignant gastric tumor were reviewed retrospectively. Patients’ demographic data, clinical manifestations and LMR were collected. The postoperative pathology data including the tumor size, tumor sites, differentiation degree of tumor, depth of tumor invasion, metastatic lymph nodes, total dissected lymph nodes, distant metastasis, vessel carcinoma embolus, neural invasion, Lauren’s classification, Ki-67 and TNM stage were collected. Receiver operating characteristic curve (ROC) was used to determine the cut-off point of LMR. The association between LMR and the clinicopathologic factors was further analyzed.

Results

A total of 177 subjects were enrolled into the study. LMR =3.79 was used as cut-off point; the patients with LMR ≥3.79 were classified as high-LMR group (123 cases) and the patients with LMR <3.79 as low-LMR group (54 cases). LMR was an independent risk factor for lymph node metastasis.

Conclusions

Low preoperative LMR was positively correlated with lymph node metastasis in gastric cancer patients, and had predictive value for lymph node metastasis in gastric cancer patients.

Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus

Background

Growing evidence indicates that several inflammatory biomarkers may predict survival in patients with malignant tumors. The aim of this study was to evaluate the prognostic value of pretreatment biomarkers in patients with primary small‐cell carcinoma of the esophagus (PSCCE).

Methods

A total of 73 PSCCE patients enrolled between January 2009 and December 2017 at the Affiliated Cancer Hospital of Zhengzhou University. The total lymphocyte counts (TLC), neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) prior to anticancer therapy were collected as inflammation biomarkers. The cutoff value was determined by Receiver operating characteristic (ROC). The Kaplan‐Meier method was utilized to analyze overall survival (OS). Cox proportional hazards regression was used to identify univariate and multivariate prognostic factors.

Results

Univariate analysis showed that high NLR group (hazard ratio [HR] = 1.685; 95% CI: 1.001–2.838; P = 0.047) and high PLR group (hazard ratio [HR] = 1.716; 95% CI: 1.039–2.834; P = 0.033) were associated with poor OS, and TLC was not correlated with OS. On multivariate analysis, high PLR (hazard ratio [HR] = 1.751; 95% CI: 1.042–2.945; P = 0.035) was an independent prognostic factor of unfavorable OS.

Conclusions

Pretreatment PLR and NLR are correlated with OS. These biomarkers are easily accessible, cost effective, and can serve as a marker to identify high‐risk patients for further designing personalized treatment and predicting treatment outcomes.

Effect of F-18 Fluorodeoxyglucose Uptake by Bone Marrow on the Prognosis of Head and Neck Squamous Cell Carcinoma

The purpose of this study was to assess the relationship between F-18 fluorodeoxyglucose (FDG) uptake in bone marrow (BM) on positron emission tomography/computed tomography (PET/CT) and survival in patients with head and neck squamous cell carcinoma (HNSCC). We retrospectively enrolled 157 HNSCC patients who underwent staging FDG PET/CT and subsequent treatment. On PET/CT, primary tumor metabolic characteristics, mean FDG uptake of BM (BM SUV), and BM-to-liver uptake ratio (BLR) were measured. The prognostic significance of FDG uptake of BM for predicting disease progression-free survival and distant failure-free survival was assessed using a Cox proportional hazards regression model. In univariate analysis for disease progression-free survival, increased BM SUV and BLR were associated with poor survival. In multivariate analysis, BLR (p = 0.044; hazard ratio, 1.96), TNM stage (p = 0.014; hazard ratio, 2.87) and maximum FDG uptake of the primary tumor (p = 0.046; hazard ratio, 2.38) were independently associated with disease progression-free survival. For distant failure-free survival, BLR, TNM stage, tumor size, and metabolic parameters of the primary tumor showed prognostic significance in univariate analysis. However, none of the variables showed significance in multivariate analysis. FDG uptake of BM in HNSCC patients might be a significant predictor for disease progression-free survival. Further studies with large patient population are needed to validate the results.

Prognostic Significance of Hematological Markers for Patients with Nasopharyngeal Carcinoma: A Meta-analysis

Purpose: Hematological parameters are considered to be associated with prognosis in various cancers. We designed a meta-analysis to evaluate the prognostic significance of hematological parameters, including the neutrophil-to-lymphocyte ratio (NLR), C-reactive protein/albumin ratio (CRP/ALB), lymphocyte-to-monocyte ratio (LMR), plasma fibrinogen level, Glasgow prognostic score (GPS), platelet-to-lymphocyte ratio (PLR) and high-density lipoprotein cholesterol (HDL-C) level, on clinical outcomes in nasopharyngeal carcinoma (NPC).

Methods: Relevant studies published prior to February 2018 were identified in the PubMed, Web of Science, EMBASE and Cochrane library databases. The primary outcome was overall survival (OS), and the secondary outcome was progression-free survival (PFS). The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated.

Results: In total, 23 studies encompassing 23,417 patients were included in our meta-analysis. An elevated NLR was related to a poor OS (HR=1.46, 95% CI=1.30-1.63, p<0.00001) and PFS (HR=1.67, 95% CI=1.36-2.07, p<0.00001), and a high PLR was associated with a poor OS (HR=1.62, 95% CI=1.32-1.98, p<0.00001). Additionally, a high LMR predicted a significantly favorable OS (HR=0.50, 95% CI: 0.43-0.58, p<0.00001). CRP/ALB, the GPS, HDL-C and plasma fibrinogen levels were also related to OS and PFS.

Conclusion: Inflammation-based prognostic scoring systems considering inflammatory cells (lymphocytes, neutrophils, platelets and monocytes) and proteins (ALB, CRP and HDL-C) are essential prognostic factors.

Platelet-lymphocyte ratio (PLR) and all-cause mortality in general population: insights from national health and nutrition education survey

Platelet lymphocyte ratio (PLR) is a novel marker of inflammation that has gained popularity, especially in prognostication of cardiac diseases and malignant conditions. Several studies have examined the relationship between PLR and disease-specific mortality but none has examined this relationship with all-cause mortality in general population. Therefore, we examined the relationship between PLR and all-cause mortality using data from the National Health and Nutrition Examination Survey (NHANES) from the year 1999 to 2010. The role of PLR in predicting all-cause mortality was evaluated using Cox proportional hazards model adjusting for age, race, gender, smoking history, diabetes, hypertension, serum cholesterol, estimated glomerular filtration rate, serum c-reactive protein, and body mass index. Differential effect of age was examined using difference of differences analysis. Of the 27321 individuals, 2581 died during 171223 person-year follow-up. Mean PLR was significantly higher in participants who died than those who were living at the end of follow-up (145.7 vs. 133.0, respectively, p < 0.001). Individuals in the fourth quartile of PLR were at significantly higher risk of mortality than those in the first quartile (HR = 1.26, 95% CI: 1.08-1.47, p = 0.004 and adjusted HR = 1.33, HR, 95% CI: 1.15-1.54, p < 0.001, respectively). When examining the differential effect of age, association between PLR and mortality was seen in the elderly but not in the middle age or younger participants. Elevated PLR is associated with increased all-cause mortality, especially in the elderly. Further studies examining the mechanism through which PLR may increase mortality are needed.