Usefulness of the neutrophil-to-lymphocyte ratio in predicting lymph node metastasis in patients with non-small cell lung cancer

Association between neutrophil-lymphocyte ratio and lymph node metastasis in gastric cancer: A meta-analysis

INTRODUCTION AND AIM

The prognostic role of neutrophil to lymphocyte ratio (NLR) has been explored extensively in the literature. The aim of this meta-analysis was to evaluate the link between NLR and lymph node metastasis in gastric cancer. A method for increasing specificity and sensitivity of pre-treatment staging has implications on treatment algorithms and survival.

SEARCH STRATEGY

The relevant databases were searched as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart. After selection, 12 full text articles that met the inclusion criteria were included for quantitative analysis. 2 × 2 squares were generated using lymph node positive/negative, and NLR high/low data. The effect size for each study was calculated using the DerSimonian-Laird random effects model. P values were calculated using the chi-square method. Finally publication bias was evaluated. All statistics were calculated using R Studio.

RESULTS

Meta-analysis showed a 1.90 times (odds ratio, with 95% CI 1.52-2.38) increase in risk of positive lymph node status with high neutrophil to lymphocyte ratio. This has significant implications for cancer screening and staging, as NLR is a highly reproducible, cost-effective, and widely available prognostic factor for gastric cancer patients. Additionally, high or low NLR values may have implications for management pathways. Patients with lymph node metastasis can be offered neoadjuvant chemotherapy, avoiding salvage therapy in the form of adjuvant chemoradiotherapy, which is poorly tolerated.

CONCLUSION

This meta-analysis shows an association between NLR and positive lymph node status in gastric cancer patients with implications for staging, as well as preoperative personalisation of therapy.

Predictive Value of Folate Receptor-Positive Circulating Tumor Cells for the Preoperative Diagnosis of Lymph Node Metastasis in Patients with Lung Adenocarcinoma

Noninvasive assessments of the risk of lymph node metastasis (LNM) in patients with lung adenocarcinoma (LAD) are of great value for selecting individualized treatment options. However, the diagnostic accuracies of different preoperative LN evaluation methods in routine clinical practice are not satisfactory. Here, an assessment to detect folate receptor (FR)-positive circulating tumor cells (CTCs) based on ligand-targeted enzyme-linked polymerization is established. FR-positive CTCs have the potential to improve the specificity and sensitivity of diagnosing LNM in lung cancer patients. The addition of CTC level improved the diagnostic efficiency of the initial prediction model that comprises other clinical parameters. A nomogram for predicting preoperative LNM is established, which showed good prediction and calibration capacities and achieved an average area under the curve of 0.786. Good correlations are observed between the CTC level and nodal classifications, such as the number of positive LNs and the ratio of the number of positive LNs to removed LNs (LN ratio or LNR). The ligand-targeted enzyme-linked polymerization-assisted assessment of CTCs enables noninvasive detection and has a useful predictive value for the preoperative diagnosis of LNM in patients with LAD.

A nomogram for predicting the risk of lymph node metastasis in T1-2 non-small-cell lung cancer based on PET/CT and clinical characteristics

Background

Accurately predicting the risk level for a lymph node metastasis is critical in the treatment of non-small cell lung cancer (NSCLC). This study aimed to construct a novel nomogram to identify patients with a risk of lymph node metastasis in T1–2 NSCLC based on positron emission tomography/computed tomography (PET/CT) and clinical characteristics.

Methods

From January 2011 to November 2017, the records of 318 consecutive patients who had undergone PET/CT examination within 30 days before surgical resection for clinical T1–2 NSCLC were retrospectively reviewed. A nomogram to predict the risk of lymph node metastasis was constructed. The model was confirmed using bootstrap resampling, and an independent validation cohort contained 156 patients from June 2017 to February 2020 at another institution.

Results

Six factors [age, tumor location, histology, the lymph node maximum standardized uptake value (SUVmax), the tumor SUVmax and the carcinoembryonic antigen (CEA) value] were identified and entered into the nomogram. The nomogram developed based on the analysis showed robust discrimination, with an area under the receiver operating characteristic curve of 0.858 in the primary cohort and 0.749 in the validation cohort. The calibration curve for the probability of lymph node metastasis showed excellent concordance between the predicted and actual results. Decision curve analysis suggested that the nomogram was clinically useful.

Conclusions

We set up and validated a novel and effective nomogram that can predict the risk of lymph node metastasis for individual patients with T1–2 NSCLC. This model may help clinicians to make treatment recommendations for individuals.

Preoperative platelet-lymphocyte ratio is an independent prognostic factor in ampullary carcinoma following pancreaticoduodenectomy

The objective of the present study was to evaluate whether preoperative platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR) could predict the prognosis for curative resected ampullary carcinoma. A total of 94 patients were retrospectively included over a 6-year period in which consecutive cases underwent pancreaticoduodenectomy for ampullary malignancy. Preoperative blood results were available in the 94 cases of resected ampullary carcinoma. Preoperative PLR and NLR cut-off values of 226.8 and 2.58 were determined to represent the optimal cut-off values in the cases for survival analysis. PLR remained a significant independent predictor of survival in multivariate analysis (Cox, P<0.001) in addition to tumor differentiation (P<0.001), nodal status (P<0.001) and stage (P<0.001). While NLR failed to serve as a prognostic factor in univariate (P=0.0637) and multivariate (P=0.164) survival analysis. Furthermore, the nodal involvement rate was higher in high PLR group (74.2 vs. 19.05%, P<0.001). Preoperative PLR and NLR merit further evaluation as a prognostic index in curative resected ampullary carcinoma. Additionally, it is a candidate predictor for the lymph node metastasis.

Evaluation of neutrophil-to-lymphocyte ratio and calcitonin concentration for predicting lymph node metastasis and distant metastasis in patients with medullary thyroid cancer

The aim of the present study was to investigate potential predictive factors of lymph node metastasis (LNM) and distant metastasis (DM) of medullary thyroid cancer (MTC). A total of 61 patients newly diagnosed with MTC at the General Hospital of the Chinese People's Liberation Army between January 2001 and January 2016 were enrolled and divided into two groups according to the results of preoperative examinations and surgical histopathology as follows: Group NM (without metastases), and group M (with metastases). Univariate logistic regression analysis demonstrated that sex, tumor size, preoperative peripheral blood neutrophil-to-lymphocyte ratio (NLR), and concentration of carcinoembryonic antigen (CEA) and calcitonin (Ctn), were significantly associated with LNM and DM. The multivariate analysis revealed that a Ctn concentration of >500 pg/ml [odds ratio (OR)=21.422; 95% confidence interval (CI): 2.611-175.731] and the NLR (OR=5.918; 95% CI: 1.147-30.541) were positively correlated with LNM and DM. The optimal cut-off value of the NLR for predicting LNM and DM obtained from receiver operating characteristic curve analysis was 1.784 (sensitivity 68.3% and specificity 80%), and the area under the curve was 0.717. In conclusion, the findings of the present study strongly suggest that inflammation and immune activation of MTC cells promote LNM and DM, and that higher values of NLR and Ctn concentration confer a high risk of metastasis.

An inflammation-related nomogram for predicting the survival of patients with non-small cell lung cancer after pulmonary lobectomy

Background

Emerging inflammatory response biomarkers are developed to predict the survival of patients with cancer, the aim of our study is to establish an inflammation-related nomogram based on the classical predictive biomarkers to predict the survivals of patients with non-small cell lung cancer (NSCLC).

Methods

Nine hundred and fifty-two NSCLC patients with lung cancer surgery performed were enrolled into this study. The cutoffs of inflammatory response biomarkers were determined by Receiver operating curve (ROC). Univariate and multivariate analysis were conducted to select independent prognostic factors to develop the nomogram.

Results

The median follow-up time was 40.0 months (range, 1 to 92 months). The neutrophil to lymphocyte ratio (cut-off: 3.10, HR:1.648, P = 0.045) was selected to establish the nomogram which could predict the 5-year OS probability. The C-index of nomogram was 0.72 and the 5-year OS calibration curve displayed an optimal agreement between the actual observed outcomes and the predictive results.

Conclusions

Neutrophil to lymphocyte ratio was shown to be a valuable biomarker for predicting survival of patients with NSCLC. The addition of neutrophil to lymphocyte ratio could improve the accuracy and predictability of the nomogram in order to provide reference for clinicians to assess patient outcomes.

Neutrophil to lymphocyte ratio predicts risk of nodal involvement in T1 colorectal cancer patients

BACKGROUND

Risk of nodal involvement in T1 colorectal cancer is assessed by tumor histological features. In several tumors, the ratio between neutrophils and lymphocytes (NLR) or platelets and lymphocytes (PLR) have been applied to lymph-node metastases prediction. The aim of this study was to evaluate the role of NLR, derived NLR (dNLR) and PLR in predicting nodal involvement in T1 colorectal cancers.

METHODS

NLR, dNLR and PLR in surgical resected T1 colorectal cancers were retrospectively calculated and analysed in nodal positive and negative cases.

RESULTS

Data regarding 102 patients were considered. Nodal involvement rate was 10.8%. NLR values were higher in node positive patients (P=0.04). A trend toward significance (P=0.05) was found for higher dNLR values and positive nodal status. For NLR, ROC curve analysis allowed to choose a predictive cut-off value of 3.7 (AUC of 0.69; 95% CI: 0.48-0.89). Nodal positivity was reported in 71.5% of high NLR patients; only two N0 cases (28.5%) were registered in high NLR group (P<0.001). The logistic regression analysis aimed to evidence the predictive role of high NLR in node positivity resulted in a significant OR of 37.1 (P<0.0001; 95% CI: 0.48-0.89). NLR allowed to distinguish N0 from N1 patients in 99.4% of cases.

CONCLUSIONS

NLR<3.7 was associated with lower risk of lymph-node metastases in T1 colorectal cancer patients. NLR could be used with histopathological data to identify patients at lower risk of nodal metastases.

Development and validation of a prognostic index for survival in non-small cell lung cancer: Results from a Tunisian cohort study

INTRODUCTION

Despite the continuous efforts made with the TNM system, the issue of heterogeneity of prognosis within the stages of non-small cell lung cancer (NSCLC) could not be resolved. Our aim was to identify prognostic factors and develop an index to predict NSCLC survival with greater accuracy.

METHODS

We conducted a survival study over 5 years on patients with NSCLC. Kaplan-Meier analysis followed by Cox regression modelling were used. Prognostic indices were derived, using either an additive or a multiplicative pattern, and were compared by their receiver operating characteristics (ROC) curves. We then proceeded to a risk stratification and validation of the index on the derivation cohort.

RESULTS

Two hundred and sixty-two NSCLC patients were included. Two models were constructed, using the following nine variables as prognostic factors: age, performance status, haemoglobin level, leucocyte count, calcium, lactate dehydrogenase, alkaline phosphatase levels, histological type and TNM stage. Four prognostic indices were derived, and the best one was picked and validated on a population of five risk groups. The higher the risk group, the shorter the survival.

CONCLUSIONS

This novel and simple prognostic tool could predict survival more accurately in patients with NSCLC.

Pretreatment blood neutrophil/lymphocyte ratio is associated with metastasis and predicts survival in patients with pancreatic cancer

BACKGROUND

The predictive value of systemic inflammatory markers has been explored in various types of cancer. In the present study, we aimed to investigate the association between pretreatment neutrophil/lymphocyte ratio (NLR) and tumor metastasis in pancreatic cancer, and the values of NLR as a prognostic factor of overall survival.

METHODS

Clinical and laboratory data from 256 consecutive pancreatic cancer patients were analyzed retrospectively. The NLR was recorded before treatment and analyzed along with clinicopathological characteristics and overall survival of pancreatic cancer patients.

RESULTS

Multivariate analysis revealed that pretreatment NLR (HR: 2.393; 95% CI: 1.326-4.320; P=0.004) was an independent risk factor for distant metastasis. Furthermore, COX regression analysis showed that in addition to pretreatment NLR (HR: 1.871; 95% CI: 1.413-2.477; P<0.001), metastasis and stage were independent prognostic factors.

CONCLUSION

Pretreatment NLR values were significantly associated with distant metastasis in pancreatic cancer patients. Higher NLR values were detected in metastatic disease and may be an independent prognostic factor of overall survival in pancreatic cancer patients.

Prognostic Role of Neutrophil-to-Lymphocyte Ratio in Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy

Background

Increasing evidence suggests that cancer-associated inflammation is associated with poorer outcomes. The neutrophil-to-lymphocyte ratio (NLR), considered as a systemic inflammation marker, is thought to predict prognoses in colorectal cancer. In this study, we explored the association between the NLR and prognoses following neoadjuvant chemoradiotherapy (CRT) for locally advanced rectal cancer (LARC).

Material/Methods

From February 2002 to December 2012, a group of 202 patients diagnosed with LARC and receiving neoadjuvant CRT followed by radical surgery was included in our retrospective study. The associations between the pre-CRT NLR and clinicopathological characteristics, as well as the predictive value of pre-CRT NLR against survival outcomes, were analyzed.

Results

The average NLR was 2.7±1.5 (median 2.4, range 0.6–12.8). There were 63 (31.2%) patients with NLR ≥3.0, and 139 (68.8%) patients with NLR <3.0. Correlation analyses showed that no clinicopathological characteristics except age were associated with NLR. We did not find an association between NLR and survival outcomes. In multivariate Cox model analyses, the R1/R2 resection, lymph node ratio ≥0.1, and perineural/lymphovascular invasion were independently associated with worse disease-free survival and overall survival.

Conclusions

In our cohort, the NLR did not correlate with survival outcomes in LARC patients undergoing neoadjuvant CRT. The prognostic value of NLR should be validated in large-scale prospective studies.

A novel scoring system associating with preoperative platelet/lymphocyte and clinicopathologic features to predict lymph node metastasis in early gastric cancer

BACKGROUND

Precise determination of the lymph node status is critical for determining appropriate treatment for early gastric cancer (EGC). This study attempted to establish a simple, effective risk scoring system to predict lymph node metastasis (LNM) in EGC by investigating the relationship between platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) and EGC LNM.

MATERIALS AND METHODS

We retrospectively reviewed 312 operable patients with EGC. The clinical utility of PLR and NLR was tested by receiver operating characteristic curves. The scoring system was developed using independent risk factors. Finally, 89 EGC patients were collected from prospective database to validate the scoring system's accuracy.

RESULTS

The optimal PLR and NLR cut-off values were 106 and 2.97, respectively. High NLR (P = 0.009) and PLR (P = 0.007) values were associated with LNM of EGC in univariate analyses, although only high PLR (P = 0.025) was an independent risk factor in multivariate analyses, together with age (P = 0.009), differentiation (P = 0.017), invasive depth (P < 0.001), and tumor size (P = 0.003). The scoring system's accuracy for retrospective and prospective data was 0.781 (95% confidence interval: 0.721-0.841) and 0.817 (95% confidence interval 0.714-0.920), respectively.

CONCLUSIONS

Preoperative PLR and NLR correlate with EGC LNM. Our scoring system is reliable, accurate, and effective in predicting LNM in EGC patients.

Combination of preoperative platelet/lymphocyte and neutrophil/lymphocyte rates and tumor-related factors to predict lymph node metastasis in patients with gastric cancer

OBJECTIVE

Lymph node (LN) metastasis is widely accepted as a poor prognosis indicator in patients with gastric cancer. An accurate preoperative prediction of LN status is of crucial importance for the planning treatment. The aim of the present study was to assess the predictive value of the preoperative platelet/lymphocyte (PLR) and neutrophil/lymphocyte rates (NLR) on the LN metastasis in gastric cancer patients and to develop a new preoperative score system to predict LN metastasis.

PATIENTS AND METHODS

A total of 492 operable patients with gastric cancer were enrolled in our study. The clinical utility of the PLR and NLR was evaluated by receiver operating characteristic (ROC) curves. The logistic analysis was used to identify the independent parameters associated with LN metastasis. Then, a score system including those independent parameters that can be detected preoperatively was established, which was also tested by an ROC curve.

RESULTS

The ideal cutoff values for predicting LN metastasis were 1.59 for NLR and 155.67 for PLR according to the ROC curve. Multivariate analyses showed that both PLR and NLR are significantly associated with LN metastasis independent of depth of invasion, lymphatic invasion, macroscopic type, and tumor size. The area under the ROC curve of the score system was 0.830 (95% confidence interval 0.782-0.878), showing a reliable ability to evaluate the status of nodal involvement.

CONCLUSION

Preoperative PLR and NLR are useful biomarkers to predict LN metastasis and the score system in our study may serve as a reliable instrument to predict LN metastasis in gastric cancer patients.