The prognostic value of neutrophil to lymphocyte and platelet to lymphocyte ratios for patients with lung cancer

Neutrophil to lymphocyte ratio (NLR) prognostic effects on heart failure; a systematic review and meta-analysis

BACKGROUND

Neutrophil to lymphocyte ratio (NLR), as a recent inflammatory index, has been reported to be a prognostic tool in different diseases. However, implication of this ratio in heart failure (HF) is less investigated. In this systematic review and meta-analysis, we aimed to assess the potential impact of NLR on HF clinical outcomes.

METHODS

Relevant English published records in PubMed, Scopus, Embase, and Web of Science were screened up to July 2023. Articles reporting clinical outcomes (follow-up or in-hospital mortality, readmission, HF prediction, extended hospital stay length, pulmonary vascular resistance, atrial fibrillation, renal disease and functional capacity) in HF sufferers were collected for further analysis with addition of NLR difference stratified by death/survived and HF status.

RESULTS

Thirty-six articles (n = 18231) were finally selected which reported NLR in HF sufferers (mean: 4.38, 95% confidence interval (CI): 4.02-4.73). We found 25 articles reported NLR and total mortality (either follow-up death (N = 19): 4.52 (95% CI: 4.03-5.01) or in-hospital death (N = 10): 5.33 (95% CI: 4.08-6.57)) with mean NLR of 4.74 (95% CI: 4.28-5.20). NLR was higher among deceased patients compared to survived ones (standard mean difference: 0.67 (95% CI: 0.48-0.87), P < 0.001)). NLR was found to be related with higher mortality risk (continuous variable: hazard ratio (HR): 1.12, 95% CI: 1.02-1.23, P = 0.013), categorical variable: HR: 1.77, 95% CI: 1.27-2.46, P = 0.001, T2 vs. T1: HR:1.56, 95%CI: 1.21-2.00, P = 0.001, T3 vs. T1: HR:2.49, 95%CI: 1.85-3.35, P < 0.001). Other aforementioned variables were not feasible to analyze due to presence of few studies.

CONCLUSIONS

NLR is a simple and acceptable prognostic tool for risk stratification and prioritizing high risk patients in clinical settings, especially in resource limited nations.

NLR, MLR, PLR and RDW to predict outcome and differentiate between viral and bacterial pneumonia in the intensive care unit

The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and red cell distribution width (RDW) are emerging biomarkers to predict outcomes in general ward patients. However, their role in the prognostication of critically ill patients with pneumonia is unclear. A total of 216 adult patients were enrolled over 2 years. They were classified into viral and bacterial pneumonia groups, as represented by influenza A virus and Streptococcus pneumoniae, respectively. Demographics, outcomes, and laboratory parameters were analysed. The prognostic power of blood parameters was determined by the respective area under the receiver operating characteristic curve (AUROC). Performance was compared using the APACHE IV score. Discriminant ability in differentiating viral and bacterial aetiologies was examined. Viral and bacterial pneumonia were identified in 111 and 105 patients, respectively. In predicting hospital mortality, the APACHE IV score was the best prognostic score compared with all blood parameters studied (AUC 0.769, 95% CI 0.705–0.833). In classification tree analysis, the most significant predictor of hospital mortality was the APACHE IV score (adjusted P = 0.000, χ2 = 35.591). Mechanical ventilation was associated with higher hospital mortality in patients with low APACHE IV scores ≤ 70 (adjusted P = 0.014, χ2 = 5.999). In patients with high APACHE IV scores > 90, age > 78 (adjusted P = 0.007, χ2 = 11.221) and thrombocytopaenia (platelet count ≤ 128, adjusted P = 0.004, χ2 = 12.316) were predictive of higher hospital mortality. The APACHE IV score is superior to all blood parameters studied in predicting hospital mortality. The single inflammatory marker with comparable prognostic performance to the APACHE IV score is platelet count at 48 h. However, there is no ideal biomarker for differentiating between viral and bacterial pneumonia.

Diversity and heterogeneity of immune states in non-small cell lung cancer and small cell lung cancer

Blood-based biomarkers including systemic inflammation (SI) indicators or circulating factors (cytokines, chemokines, or growth factors) are associated with a poor prognosis for lung cancer patients. Collectively these biomarkers can predict the immune state of a patient. We wanted to define and compare the immune states of small cell and non-small cell lung cancer patients, in the hopes that the information gained could lead to overall improvements in patient care and outcomes. Specimens and data from 235 patients was utilized, 49 surgically resected non-small cell lung cancer (NSCLC) patients with no evidence of disease (DF), 135 advanced non-small cell lung cancer (NSCLC), 51 small cell lung cancer (SCLC). SI markers neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), systemic inflammation index (SII), and systemic inflammation response index (SIRI) were determined from blood counts. Forty-seven plasma cytokines were measured using a multiplex bead-based assay. Progression-free survival (PFS) and overall survival (OS) were assessed using Kaplan-Meier and Cox Proportional Hazards models. NSCLC patients had significantly high levels of SI markers than SCLC and DF patients, while NLR, PLR and SII were also higher in SCLC than DF patients. SI optimized marker values to differentiate SI value were; 6.04 (NLR), 320 (PLR), 1615 (SII), and 7.3 (SIRI). Elevated levels NLR (p<0.001), PLR (p<0.001), and SII (p = 0.018) were associated with a worse PFS and OS in NSCLC, while none of the markers were associated with PFS in SCLC patients. NSCLC patients with a poor outcome displayed heterogeneous immune states relative to systemic inflammation and circulating IL-6 markers. These groups could be distinguished based on the cytokines IL-8, TNFα, and IL-27. We identified heterogeneity of immune states in SCLC and NSCLC patients and in NSCLC patients with the poorest prognosis. This heterogeneity could be exploited to improve outcomes for these patients.

Leukocytes are not Reliable in Predicting Possible Diaphragmatic Injury in Patients with Penetrating Left Thoracoabdominal Stab Wounds

BACKGROUND

The diaphragm is injured in approximately one-third of penetrating left thoracoabdominal stab wounds. Diagnostic laparoscopy or thoracoscopy is performed to reveal the diaphragmatic injury. This study investigated whether leukocytes, leukocyte subgroups, platelets, the neutrophil-to-lymphocyte ratio (NLR), and the thrombocyte-to-lymphocyte ratio (PLR) can be used to detect diaphragm injury without the need for diagnostic laparoscopy.

METHODS

Patients hospitalized between January 2010 and January 2020 due to penetrating left thoracoabdominal stab wounds were examined. Laparotomy was performed in patients who had indications for laparotomy, such as hemodynamic instability and peritonitis. Diagnostic laparoscopy was performed to reveal possible diaphragmatic injury in patients who did not require laparotomy after 48h of follow-up. Leukocytes, leukocyte subgroups, platelets, NLR, and PLR were measured both at admission and during follow-up, and the results were compared between patients with and without diaphragm injury during diagnostic laparoscopy.

RESULTS

The study included 108 patients with penetrating left thoracoabdominal stab wounds that did not require laparotomy after 48h of follow-up. Of these, 102 patients were male (94.44%), and the average age was 27.68 years (range 15-66 years). Diaphragm injury was detected in 31 patients (28.70%) in diagnostic laparoscopy, and the diaphragm was intact in 77 patients (71.30%). In the comparison of patients with and without diaphragmatic injury, no statistically significant difference was found in terms of age, gender, platelets, leukocyte values, NLR, and PLR both at admission and during follow-up.

CONCLUSIONS

Leukocytes, leukocyte subsets, platelets, NLR, and PLR were insufficient in the detection of asymptomatic diaphragmatic injuries caused by penetrating left thoracoabdominal stab wounds.

Correlation of peripheral blood biomarkers with clinical outcomes in NSCLC patients with high PD-L1 expression treated with pembrolizumab

Background

Immune checkpoint inhibitors (ICIs) are currently the standard therapy in advanced non-small cell lung cancer (NSCLC); however, there is no well-established prognostic biomarker. We investigated the relationship between survival outcomes and three peripheral blood biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and monocyte-to-lymphocyte ratio (MLR), as well as a new score termed the risk blood biomarker (RBB), calculated from the combination of the neutrophil-monocyte-to-lymphocyte ratio (NMLR) and white blood cell count (WBC).

Methods

This study included patients with stage IV or recurrent NSCLC confirmed with programmed death ligand 1 (PD-L1) expression ≥50% who received pembrolizumab monotherapy as first-line treatment at the Virgen del Rocío University Hospital in Seville, Spain. To establish the relationship between baseline peripheral blood biomarkers and survival outcomes, progression free survival (PFS) and overall survival (OS), we used the Kaplan-Meier method and multivariable Cox regression models.

Results

A total of 51 patients were included in this study. In multivariate analysis, baseline NLR and PLR showed a strong association with PFS [NLR hazard ratio (HR): 0.19, 95% confidence interval (CI): 0.09–0.44, P<0.001; PLR HR: 0.46, 95% CI: 0.23–0.92, P=0.03] and OS (NLR HR: 0.07, 95% CI: 0.02–0.19, P<0.001; PLR HR: 0.29, 95% CI: 0.13–0.67, P=0.004), and the MLR was associated with OS (MLR HR: 0.34, 95% CI: 0.15–0.76, P=0.01). According to the RBB score, groups with lower scores were associated with superior PFS (group 0: HR: 0.16, 95% CI: 0.06–0.41, P<0.001 and group 1: HR: 0.29, 95% CI: 0.12–0.73, P=0.01) and OS (group 0: HR: 0.04, 95% CI: 0.01–0.17, P<0.001 and group 1: HR: 0.15, 95% CI: 0.05–0.42, P<0.001).

Conclusions

Low baseline NLR, MLR and PLR are significantly associated with better PFS, and low baseline NLR and PLR are associated with better OS. Additionally, we identified three subgroups of patients using the RBB score, and low scores were associated with improved survival outcomes and response to therapy.

An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study

This paper has proposed an effective intelligent prediction model that can well discriminate and specify the severity of Coronavirus Disease 2019 (COVID-19) infection in clinical diagnosis and provide a criterion for clinicians to weigh scientific and rational medical decision-making. With indicators as the age and gender of the patients and 26 blood routine indexes, a severity prediction framework for COVID-19 is proposed based on machine learning techniques. The framework consists mainly of a random forest and a support vector machine (SVM) model optimized by a slime mould algorithm (SMA). When the random forest was used to identify the key factors, SMA was employed to train an optimal SVM model. Based on the COVID-19 data, comparative experiments were conducted between RF-SMA-SVM and several well-known machine learning algorithms performed. The results indicate that the proposed RF-SMA-SVM not only achieves better classification performance and higher stability on four metrics, but also screens out the main factors that distinguish severe COVID-19 patients from non-severe ones. Therefore, there is a conclusion that the RF-SMA-SVM model can provide an effective auxiliary diagnosis scheme for the clinical diagnosis of COVID-19 infection.

Blood cell parameters as prognostic predictors of disease development for patients with advanced non-small cell lung cancer

Although the prognostic value of the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and lymphocyte/white blood cell ratio (LWR) has been described in advanced non-small cell lung cancer (NSCLC), the association between complete blood cell parameters prior to disease treatment and NSCLC have yet to be identified. The aim of the present study was to assess the complete blood cell parameters prior to disease treatment in patients with advanced NSCLC. A total of 268 patients with advanced NSCLC were enrolled in this study. Clinical and laboratory data of the patients were acquired through medical records. Receiver operating characteristic curve analysis was used to determine the optimal cut-off values of the neutrophil/white blood cell ratio (NWR), NLR, platelet/white blood cell ratio (PWR), PLR, monocyte/white blood cell ratio (MWR), monocyte/lymphocyte ratio (MLR) and LWR. Kaplan-Meier univariate and multivariate Cox regression analyses were used to evaluate the effect of complete blood parameters on progression-free survival (PFS) and overall survival (OS). The optimal cut-off values were identified as 0.67 for NWR, 2.85 for NLR, 37.23 for PWR, 166.56 for PLR, 0.074 for MWR, 0.31 for MLR and 0.24 for LWR. Univariate analysis revealed that sex (P=0.038), histological type (P<0.0001), NWR (P=0.026), NLR (P=0.044) and MLR (P=0.012) were all associated with PFS, whereas histological type (P=0.003), NWR (P=0.003), NLR (P=0.015), MLR (P=0.006) and LWR (P=0.043) were significantly associated with OS in patients with advanced NSCLC. Histological type (P=0.002) was an independent prognostic factor for PFS in patients with advanced NSCLC. Whereas histological type (P=0.005), NWR (P=0.005), NLR (P=0.014), MLR (P=0.006), and LWR (P=0.034) were independent prognostic factors for OS. Taken together, the present study identified high NWR, NLR and MLR, and low LWR as independent prognostic factors for poor OS in patients with NSCLC.

Elevated Controlling Nutritional Status (CONUT) Score is Associated with Poor Long-term Survival in Patients with Low-grade Soft-tissue Sarcomas Treated with Surgical Resection

BACKGROUND

Several studies have examined the Controlling Nutritional Status (CONUT) score, which is a screening tool for nutritional status and an effective biomarker for patient survival after cancer treatment. However, its role in soft-tissue sarcoma (STS) remains unknown. Because of the lack of predictive markers for survival in patients with STS, we aimed to determine the CONUT score's association with survival.

QUESTIONS/PURPOSES

(1) Is there a relationship between the CONUT score and clinicopathologic characteristics such as tumor size, tumor location, pathological grade, and advanced stage based on the American Joint Committee on Cancer (AJCC) guidelines? (2) Is the CONUT score associated with disease-free survival (DFS) and overall survival (OS) in patients treated surgically for STS, even when compared with other systemic inflammatory response markers?

METHODS

Between 1999 and 2016, 769 patients underwent R0 resection for STS at our institution. Adequate medical records and available followup data were required for inclusion in this study. Exclusion criteria were synchronous inflammatory diseases, unplanned excision, and neoadjuvant therapy. There were 658 patients (86%) who fulfilled all criteria. The minimum followup time was 24 months (median, 103 months; range, 61-147 months). The median age of the patients was 43 years (range, 5-85 years), and 265 patients (40%) were women. All patients had Stage I to IV tumors according to the 8 edition of the AJCC staging system. The grade classification was determined to be G1 in 130 patients (20%), G2 in 304 (46%), and G3 in 201 (31%). The CONUT score was calculated based on the serum albumin concentration, total peripheral lymphocyte count, and total cholesterol concentration. The score ranged from 0 to 12, with higher scores indicating worse nutritional status. The patients were classified into two groups according to a receiver operating characteristic curve analysis: the high (≥ 2) and low (0 or 1) CONUT score groups. There were 435 patients in the low CONUT score group and 223 in the high CONUT score group. We tested for an association between the CONUT scores and gender, age, tumor diameter, tumor depth, tumor grade, and AJCC stage using the chi-square and Fisher's exact methods. We also compared the strength of the association between postoperative survival and the CONUT scores, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) using multivariate Cox proportional hazard model analyses.

RESULTS

High CONUT scores were associated with large tumor size (odds ratio [OR], 1.47; 95% CI, 1.06-2.04; p = 0.020), deep tumor location (OR, 1.66; 95% CI, 1.17-2.36; p = 0.004), high tumor grade (OR, 2.54; 95% CI, 1.56-4.14; p = 0.001), and advanced AJCC stage (OR, 1.86; 95% CI, 1.14-3.02; p < 0.001). The low CONUT score group exhibited a higher 5-year OS rate and longer OS than the high CONUT score group (82% versus 65%; odds ratio, 2.45; 95% CI, 1.27-4.72; p < 0.001; 81 versus 64 months, Z = -2.56; p < 0.001). A multivariate analysis indicated that an elevated CONUT score was an independent predictor of OS (hazard ratio [HR], 1.86; 95% CI, 1.47-4.14; p < 0.001) and DFS (HR, 1.63; 95% CI, 1.26-2.11; p < 0.001), but the NLR and PLR were not. In an individual subgroup analysis, the CONUT scores were associated with OS and DFS in the tumor diameter (< 5 or ≥ 5 cm) subgroup, tumor depth (superficial or deep) subgroup, tumor grade (G1 and G2) subgroup, and AJCC stage (I/II or III/IV) subgroup, but not in the G3 subgroup (p = 0.051 and p = 0.065).

CONCLUSION

High CONUT scores were independently associated with aggressive tumor behavior and unfavorable survival for patients with low-grade, but not high-grade, resected STS. If these findings can be substantiated in larger studies, the CONUT score might be useful for predicting survival and help to develop new treatment strategies for nutrition interventions.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Analysis of Clinical Characteristics and Poor Prognostic Predictors in Patients With an Initial Diagnosis of Autoimmune Encephalitis

Purpose: We aimed to retrospectively analyze the clinical features, laboratory and imaging results, and predictors of poor prognosis for patients with an initial diagnosis of autoimmune encephalitis (AE) at the Affiliated Hospital of Zunyi Medical University. Methods: Fifty patients with an initial diagnosis of AE who were admitted to our hospital from May 2014 to May 2018 were enrolled retrospectively. Clinical characteristics and experimental test data, including the neutrophil-to-lymphocyte ratio (NLR), were collected from medical records within 24 h of admission. Independent prognostic factors were determined by multivariate logistic regression analysis. A good or poor prognosis for patients was defined based on the modified Rankin Scale (mRS). The correlation between the immunotherapy latency and prognostic mRS score was determined using the Spearman rank correlation test. Results: Univariate analysis indicated that increased NLR (P = 0.001), decreased lymphocyte counts (P = 0.001), low serum albumin (P = 0.017), consciousness disorders (P = 0.001), epileptic seizures (P = 0.007), extrapyramidal symptoms (P = 0.042), abnormal electroencephalogram (EEG) findings (P = 0.001), abnormal brain magnetic resonance imaging (MRI) findings (P = 0.003), and pulmonary infection complications (P = 0.000) were associated with the poor prognosis of AE. Multivariate logistic regression analysis showed that NLR (odds ratio [OR] 2.169, 95% confidence interval [CI] 1.029-4.570; P < 0.05) was an independent risk factor for predicting the poor prognosis of AE. NLR > 4.45 was suggested as the cut-off threshold for predicting the adverse outcomes of AE. In addition, we revealed that there was a positive correlation between immunotherapy latency and mRS score (r_s = 0.535, P < 0.05). Conclusions: NLR may have predictive value for the poor outcomes of AE. Early initiation of immunotherapy is associated with a good prognosis.

Combination of the preoperative albumin to globulin ratio and neutrophil to lymphocyte ratio as a novel prognostic factor in patients with triple negative breast cancer

Background: The pretreatment albumin to globulin ratio (AGR) and neutrophil to lymphocyte ratio (NLR) were the inflammation-associated factors which were related to the disease-free survival in various malignancies. The aim of this study was to evaluate the clinical significance of the pretreatment AGR combined with NLR for patients with triple negative breast cancer (TNBC).

Method: This retrospective study included 286 cases of pathologically diagnosed patients with TNBC. The relationships of AGR and NLR with clinicopathologic characteristics and prognosis were analyzed by Kaplan–Meier and Cox regression methods.

Results: An AGR of 1.63 and a NLR of 2.93 were identified as the optimal cut-off points for distinguishing patients with good versus poor prognosis. The area under the receiver operating characteristic curves of combined with AGR and NLR (CO-AN) was increased compared with AGR and NLR individually. Kaplan–Meier analysis showed that low AGR/high NLR was related to poor survival. The prognosis of patients can be predicted well by the CO-AN. Univariate and multivariate analyses revealed that high AGR levels, low NLR levels, and CO-AN<1 were significantly and independently associated with favorable disease-free survival.

Conclusions: Our study suggested that AGR and NLR levels can be prognostic biomarkers for disease-free survival in patients with TNBC. The CO-AN may have greater predictive value than AGR and NLR in patients with TNBC.

Salivary Microbial Dysbiosis is Associated with Systemic Inflammatory Markers and Predicted Oral Metabolites in Non-Small Cell Lung Cancer Patients

An increasing number of studies have suggested the dysbiosis of salivary microbiome has been linked to the advancement of multiple diseases and proved to be helpful for the diagnosis of them. Although epidemiological studies of salivary microbiota in carcinogenesis are mounting, no systemic study exists regarding the oral microbiota of non-small cell lung cancer (NSCLC) patients. In this study, we presented the characteristics of the salivary microbiota in patients from NSCLC and healthy controls by sequencing of the 16S rRNA microbial genes. Our result revealed distinct salivary microbiota composition in patients from NSCLC compared to the healthy controls. As principal co-ordinates analysis (PCoA) showed, saliva samples clearly differed between the two groups, considering the weighted (p = 0.001, R² = 0.17), and unweighted (p = 0.001, R² = 0.25) UniFrac distance. Phylum Firmicutes (31.69% vs 24.25%, p < 0.05) and its two genera Veillonella (15.51%% vs 9.35%, p < 0.05) and Streptococcus (9.96% vs 6.83%, p < 0.05) were strongly increased in NSCLC group compared to the controls. Additionally, the relative abundances of Fusobacterium (3.06% vs 4.92%, p = 0.08), Prevotella (1.45% vs 3.52%, p < 0.001), Bacteroides (0.56% vs 2.24%, p < 0.001), and Faecalibacterium (0.21% vs 1.00%, p < 0.001) in NSCLC group were generally decreased. Furthermore, we investigated the correlations between systemic inflammation markers and salivary microbiota. Neutrophil-lymphocyte ratio (NLR) positively correlated with the Veillonella (r =0.350, p = 0.007) and lymphocyte-monocyte ratio (LMR) negatively correlated with Streptococcus (r =-0.340, p = 0.008). Additionally, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways inferred by phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) showed that pathways related to xenobiotics biodegradation and metabolism (p < 0.05) and amino acid metabolism (p < 0.05) were enriched in the NSCLC group. Folate biosynthesis (p < 0.05) significantly decreased in NSCLC group. The specific correlations of clinical systemic inflammation markers and predicted KEGG pathways also could pronounce a broad understanding of salivary microbiota in patients with NSCLC. Moreover, our study extended the new sight into salivary microbiota-targeted interventions to clinically improve the therapeutic strategies for salivary dysbiosis in NSCLC patients. Further investigations of the potential mechanism of salivary microbiota in the progression of NSCLC are still in demand.

Pretreatment Neutrophil-to-Lymphocyte Ratio Was a Predictor of Lymph Node Metastasis in Endometrial Cancer Patients

OBJECTIVE

The pretreatment neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) have been reported to be useful as markers for prognostic factors and metastasis in several cancers. The aim of this study was to identify the predictor of lymph node (LN) metastasis by pretreatment NLR and PLR in patients with endometrial cancer.

METHODS

Medical charts of the patients with endometrial cancers that received primary surgery at our hospital between 2007 and 2013 were retrospectively analyzed. The cutoff value was calculated from the receiver operating characteristics (ROC) curve. Clinicopathological parameters including inflammatory markers were evaluated for LN metastasis using multiple logistic regression analysis.

RESULTS

Among 197 patients enrolled in the study, LN metastasis was observed in 25 patients (13%). ROC curves demonstrated that the best cutoff value of NLR for predicting LN metastasis was 2.18 and that of PLR was 206. In univariate analysis, several pathological factors, NLR, and PLR were identified as predictors of LN metastasis. In multiple logistic regression analysis, lymphovascular invasion and NLR were found to be significantly correlated with LN metastasis (p = 0.002, 0.039).

CONCLUSION

A higher pretreatment NLR was identified as a predictor of LN metastasis in endometrial cancers. Although further study is needed to confirm the results, NLR could be a candidate clinical marker for detection of LN metastasis.

Platelet-to-lymphocyte ratio as a prognostic predictor of mortality for sepsis: interaction effect with disease severity-a retrospective study

OBJECTIVE

The role of platelet-to-lymphocyte ratio (PLR) as an indicator of inflammation has been the focus of research recently. We aimed to investigate the prognostic value of PLR for sepsis.

DESIGN

A retrospective cohort study.

SETTING AND PARTICIPANTS

Data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care III database. Data on 5537 sepsis patients were analysed.

METHODS

Logistic regression was used to explore the association between PLR and hospital mortality. Subgroup analyses were performed based on vasopressor use, acute kidney injury (AKI) and a Sequential Organ Failure Assessment (SOFA) score >10.

RESULTS

In the logistic model with linear spline function, a PLR >200 was significantly (OR 1.0002; 95% CI 1.0001 to 1.0004) associated with mortality; the association was non-significant for PLRs ≤200 (OR 0.997; 95% CI 1.19 to 1.67). In the logistic model using the PLR as a design variable, only high PLRs were significantly associated with mortality (OR 1.29; 95% CI 1.09 to 1.53); the association with low PLRs was non-significant (OR 1.15; 95% CI 0.96 to 1.38). In the subgroups with vasopressor use, AKI and a SOFA score >10, the association between high PLR and mortality was non-significant; this remained significant in the subgroups without vasopressor use (OR 1.39; 95% CI 1.08 to 1.77) and AKI (OR 1.54; 95% CI 1.20 to 1.99) and with a SOFA score ≤10 (OR 1.51; 95% CI 1.17 to 1.94).

CONCLUSIONS

High PLRs at admission were associated with an increased risk of mortality. In patients with vasopressor use, AKI or a SOFA score >10, this association was non-significant.

Prognostic value of the fibrinogen/albumin ratio (FAR) in patients with operable soft tissue sarcoma

Background

Coagulation and nutrition play important roles in cancer progression. The aim of the present study is to evaluate the prognostic value of the preoperative fibrinogen/albumin ratio (FAR) in surgical patients with soft tissue sarcoma (STS) and to compare this value with other inflammatory biomarkers. In addition, we investigated the relationship between FAR and the clinicopathological characteristics of STS patients.

Methods

We included 310 STS patients in this retrospective study. Kaplan-Meier curves, univariate and multivariate Cox proportional models were used in the prognostic analyses.

Results

According to the receiver operating characteristic (ROC) analysis, the optimal FAR cut-off value was 0.0726. The FAR exhibited a greater area under the curve (AUC) value (0.680) than did the NLR and PLR. An elevated FAR (≥0.0726) was significantly associated with an old age, large tumor size, deep tumor location, high tumor grade, and advanced American Joint Committee on Cancer (AJCC) stage.

Patients with an increased FAR had a shorter median survival time and a lower 5-year overall survival (OS) rate than did those with a low FAR (61.0 vs115.8 months, P < 0.001; 56.7% vs 82.4%, P < 0.001, respectively). Multivariate analysis indicated FAR (Hazard ratio (HR) 1.907, 95% confidence interval (CI) 1.161–3.132, P < 0.001) to be an independent prognostic factor for OS, as were tumor depth, grade and PLR.

Conclusions

Preoperative FAR is associated with tumor progression and can be considered an independent factor for OS of resected STS patients.

Electronic supplementary material

The online version of this article (10.1186/s12885-018-4856-x) contains supplementary material, which is available to authorized users.

Blood cell count indexes as predictors of outcomes in advanced non-small-cell lung cancer patients treated with Nivolumab

Lung cancer is the most common malignancy worldwide. Despite significant advances in diagnosis and treatment, mortality rates remain extremely high, close to incidence rates. Several targeted therapies have been recently introduced for the treatment of non-small cell lung cancer (NSCLC), the most common type of lung cancer. Nivolumab, a monoclonal antibody that targets programmed death-1 (PD-1), was the first immune checkpoint inhibitor approved for the treatment of patients with advanced/metastatic NSCLC not responding to platinum-based chemotherapy. Biomarkers predicting response to these therapies would allow early identification of non-responders and timely implementation of appropriate combination strategies, avoiding inadequate and expensive therapies. The role of the neutrophil to lymphocyte ratio and other blood cell count indexes as possible biomarkers of response has been recently investigated. We discuss the encouraging results reported on the topic, provide new data from our personal experience, and discuss opportunities for further research.

The Position of Neutrophils-To-Lymphocytes and Lymphocytes-To-Platelets Ratio as Predictive Markers of Progression and Prognosis in Patients with Non-Small Cell Lung Cancer

BACKGROUND

Non-small cell lung cancer (NSCLC) is an insidious metastasis condition of the lungs often presenting no symptoms at the onset. Defining markers for quick determination of prognosis is essential for building up a treatment strategy.

AIM

The aim of this study is to define the role of the Neutrophils-to-Lymphocytes ratio (NLR) and Platelets-to- Lymphocytes ratio (PLR) as biomarkers in patients with NSCLC, according to the stage and prognosis of the disease.

METHODS

We investigated 20 patients with NSCLC. NLR and PLR are calculated and are evaluated according to the presence or absence of metastasis, stage of the disease, histological type and survival rate.

RESULTS

We found that thirteen of the patients had low NLR, while the rest 7 had high NLR (mean 3.15). By analysing PLR we found that 11 patients have low and 9 have high level of PLR (mean 1.42). After the correlations have been made we discovered that in 90.1% of the patients with low PLR no lymph metastasises were detected, while in 50% of the patients with high PLR lymph metastasises were observed (χ2 = 3.99; P = 0.046). We also discovered that in 84.6% of the patients with low NLR lymph metastases were absent, while in 42.9% with high NLR lymph metastasises were present (χ 2 = 1.83; P = 0.176).

CONCLUSION

In conclusion, NLR and PLR were discovered as prominent biomarkers which provide relatively fast determination for prognosis in patients with NSCLC.

Prognostic Roles of Inflammatory Markers in Pancreatic Cancer: Comparison between the Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio

Background/Objectives

This meta-analysis is aimed at investigating the prognostic roles of the inflammatory markers neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in patients with pancreatic cancer.

Methods

The correlations between high inflammatory marker expression levels and prognosis in 7105 patients with pancreatic cancer from 34 eligible studies were investigated. Additionally, subgroup analyses based on study location, tumor stage, treatment, and value cutoffs were performed.

Results

High NLR and PLR values were considered to be 2.0–5.0 and 150–200, respectively. Using a random-effects model, the estimated rates of high NLR and PLR were 0.379 (95% confidence interval [CI] 0.310–0.454) and 0.490 (95% CI 0.438–0.543), respectively. High NLRs were frequently found in patients with lower tumor stages and in those who underwent surgery. There were significant correlations between high NLR and PLR and poor survival rates (hazard ratio [HR] 1.737, 95% CI 1.502–2.009 and HR 1.143, 95% CI 1.037–1.259, resp.). Interestingly, the NLR and PLR had no prognostic value in patients who underwent chemoradiotherapy.

Conclusion

Taken together, our results showed that inflammatory markers are useful for predicting prognosis in patients with pancreatic cancer. The NLR is a more suitable parameter for predicting prognosis regardless of the patient's condition.

Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios may aid in identifying patients with non-small cell lung cancer and predicting Tumor-Node-Metastasis stages

The present study aimed to identify a high-risk population with non-small cell lung cancer (NSCLC) and to predict TNM stages using the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR). This retrospective study included preoperative data of 171 patients and 105 controls. Compared with healthy controls, patients with NSCLC had higher levels of NLR and PLR (NLR, 2.719±0.183 vs. 1.813±0.079, P<0.01; PLR, 135.800±4.778 vs. 112.000±5.651, P<0.01, respectively). The associations between Tumor-Node-Metastasis stages and the aforementioned parameters were detected (both P<0.01). NLR and PLR improved the rate of early diagnosis of NSCLC, particularly for stages III and IV with a higher area under curve value (0.752 and 0.759, respectively) compared with stage I and II NSCLC. In addition, PLR with a T stage-dependent increase may be a potential and independent predictive marker for T stage (P<0.05); the NLR exhibited an N stage-dependent increase (except for stage N3) and was identified as a marker for N stage (P<0.0001). It was subsequently concluded that NLR and PLR are useful biomarkers in the early diagnosis of NSCLC; that these two parameters were capable of indicating advanced stages, III and IV; and that PLR and NLR were independent predictors for T and N stages, respectively.

Platelet Metabolism and Other Targeted Drugs; Potential Impact on Immunotherapy

The role of platelets in cancer progression has been well recognized in the field of cancer biology. Emerging studies are elaborating further the additional roles and added extent that platelets play in promoting tumorigenesis. Platelets release factors that support tumor growth and also form heterotypic aggregates with tumor cells, which can provide an immune-evasive advantage. Their most critical role may be the inhibition of immune cell function that can negatively impact the body’s ability in preventing tumor establishment and growth. This review summarizes the importance of platelets in tumor progression, therapeutic response, survival, and finally the notion of immunotherapy modulation being likely to benefit from the inclusion of platelet inhibitors.