Neutrophils play an important role in infectious diseases by clearing pathogens in the early stages of the disease and damaging the surrounding tissues along with the disease progress. Low-density neutrophils (LDNs) are a crucial and distinct subpopulation of neutrophils. They are a mixture of activated and degranulated normal mature neutrophils and a considerable number of immature neutrophils prematurely released from the bone marrow. Additionally, they may be involved in the occurrence and development of diseases through the changes in phagocytosis, the generation of reactive oxygen species (ROS), the enhancement of the ability to produce neutrophils extracellular traps and immunosuppression. We summarizes the role of LDNs in the pathogenesis and their correlation with the severity of infectious diseases such as COVID-19, severe fever with thrombocytopenia syndrome (SFTS), AIDS, and tuberculosis.
Humans ; Neutrophils ; COVID-19/pathology* ; Phagocytosis ; Extracellular Traps ; Communicable Diseases ; Reactive Oxygen Species

OBJECTIVE: To explore the influence of lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio (NLR) on the prognosis of patients with extranodal NK/T cell lymphoma (ENKTL). METHODS: The clinical data of 203 patients with ENKTL admitted to the First Affiliated Hospital of Zhengzhou University from January 2011 to January 2020 were retrospectively analyzed. The ROC curve determined the limit values of LMR and NLR; Categorical variables were compared using a chi-square test, expressed as frequency and percentage (n,%). Continuous variables were expressed as medians and extremes and compared with the Mann-Whitney U test; Progression-free survival (PFS) and overall survival (OS) of different grouped LMR and NLR patients were analyzed using Kaplan-Meier curves and compared with log-rank tests. The COX proportional risk regression model was used to perform one-factor and multi-factor analysis of PFS and OS. RESULTS: The optimal critical values of LMR and NLR were determined by the ROC curve, which were 2.60 and 3.40, respectively. LMR≤2.60 was more likely to occur in patients with bone marrow invasion (P=0.029) and higher LDH (P=0.036), while NLR≥3.40 was more likely to occur in patients with higher ECOG scores (P=0.002), higher LDH (P=0.008), higher blood glucose (P=0.024), and lower PLT (P=0.010). Kaplan-Meier survival analysis showed that PFS and OS of patients in the high LMR group were significantly better than the low LMR group, while PFS and OS in the low NLR group were significantly better than the high NLR group. The results of multivariate COX analysis showed that EBV-DNA positive (P=0.047), LMR≤2.60 (P=0.014), NLR≥3.40 (P=0.023) were independent risk factors affecting PFS in patients with ENKTL. LMR≤2.60 (P<0.001), NLR≥3.40 (P=0.048), and high β2-MG (P=0.013) were independent risk factors affecting OS in patients with ENKTL. CONCLUSION Low LMR and high NLR before treatment are associated with poor prognosis in patients with ENKTL, which also can be used as an easily testable, inexpensive, and practical prognostic indicator in the clinic.
Humans ; Monocytes/pathology* ; Neutrophils ; Lymphoma, Extranodal NK-T-Cell/pathology* ; Retrospective Studies ; Lymphocytes ; Prognosis

As an important part of tumor microenvironment, neutrophils are poorly understood due to their spatiotemporal heterogeneity in tumorigenesis. Here we defined, at single-cell resolution, CD44-CXCR2- neutrophils as tumor-specific neutrophils (tsNeus) in both mouse and human gastric cancer (GC). We uncovered a Hippo regulon in neutrophils with unique YAP signature genes (e.g., ICAM1, CD14, EGR1) distinct from those identified in epithelial and/or cancer cells. Importantly, knockout of YAP/TAZ in neutrophils impaired their differentiation into CD54+ tsNeus and reduced their antitumor activity, leading to accelerated GC progression. Moreover, the relative amounts of CD54+ tsNeus were found to be negatively associated with GC progression and positively associated with patient survival. Interestingly, GC patients receiving neoadjuvant chemotherapy had increased numbers of CD54+ tsNeus. Furthermore, pharmacologically enhancing YAP activity selectively activated neutrophils to suppress refractory GC, with no significant inflammation-related side effects. Thus, our work characterized tumor-specific neutrophils in GC and revealed an essential role of YAP/TAZ-CD54 axis in tsNeus, opening a new possibility to develop neutrophil-based antitumor therapeutics.
Humans ; Animals ; Mice ; Adaptor Proteins, Signal Transducing/metabolism* ; Transcription Factors/metabolism* ; Stomach Neoplasms/pathology* ; Neutrophils/pathology* ; Signal Transduction/genetics* ; YAP-Signaling Proteins ; Tumor Microenvironment ; Hyaluronan Receptors/genetics*

Objective: To explore the influence factors of poor prognosis of esophageal squamous cell carcinoma (ESCC) and the predictive value of inflammatory reaction indexes including neutrophils and lymphocytes ratio (NLR), platelet and lymphocyte ratio (PLR), monocyte and lymphocyte ratio (MLR) provision and differentiation degree, infiltration depth, lymph node metastasis number on the postoperative recurrence of ESCC. Methods: A total of 130 patients with ESCC who underwent radical resection from February 2017 to February 2019 in Nanyang Central Hospital were selected and divided into good prognosis group (66 cases) and poor prognosis group (64 cases) according to the prognostic effect. The clinical data and follow-up data were collected. Multivariate logistic regression analysis was used to determine the independent influencing factors of poor prognosis. Spearman correlation analysis was used to determine the correlation between preoperative NLR, PLR and MLR with the degree of differentiation, depth of invasion and number of lymph node metastases. Receiver operating characteristic (ROC) curve analysis was used to evaluate the efficacy of NLR, PLR and MLR in predicting poor prognosis of ESCC. Results: Univariate analysis showed that the degree of differentiation, the degree of invasion and the number of lymph node metastasis were related to the prognoses of patients with ESCC (P<0.05). Multivariate logistic regression analysis showed that the degree of differentiation, depth of invasion and number of lymph node metastases were independent influencing factors for poor prognosis of patients with ESCC, moderate differentiation (OR=2.603, 95% CI: 1.009-6.715) or low differentiation (OR=9.909, 95% CI: 3.097-31.706), infiltrating into fibrous membrane (OR=14.331, 95% CI: 1.333-154.104) or surrounding tissue (OR=23.368, 95% CI: 1.466-372.578), the number of lymph node metastases ≥ 3 (OR=9.225, 95% CI: 1.693-50.263) indicated poor prognosis. Spearman correlation analysis showed that NLR was negatively correlated with the degree of differentiation and the number of lymph node metastases (r=-0.281, P=0.001; r=-0.257, P=0.003), PLR was negatively correlated with the degree of differentiation, depth of invasion and number of lymph node metastasis (r=-0.250, P=0.004; r=0.197, P=0.025; r=-0.194, P=0.027), MLR was positively correlated with the degree of differentiation and the number of lymph node metastasis (r=0.248, P=0.004; r=0.196, P=0.025). ROC curve analysis showed that the areas under the curve of NLR, PLR and MLR in predicting poor prognosis of ESCC were 0.971, 0.925 and 0.834, respectively. The best cut-off value of NLR was 2.87. The sensitivity and specificity of NLR in predicting poor prognosis of ESCC were 90.6% and 87.9%, respectively. The optimal cut-off value of PLR was 141.75. The sensitivity and specificity for predicting poor prognosis of ESCC were 92.2% and 87.9%, respectively. The best cut-off value of MLR was 0.40. The sensitivity and specificity of MLR in predicting poor prognosis of esophageal squamous cell carcinoma were 54.7% and 100.0%, respectively. Conclusions: The degree of differentiation, the degree of invasion and the number of lymph node metastases are closely related to the poor prognosis of patients with esophageal squamous cell carcinoma. NLR, PLR and MLR can provide important information for predicting the poor prognosis of esophageal squamous cell carcinoma.
Humans ; Esophageal Squamous Cell Carcinoma/pathology* ; Prognosis ; Lymphatic Metastasis/pathology* ; Esophageal Neoplasms/pathology* ; Neutrophils ; Lymphocytes ; Blood Platelets/pathology* ; Inflammation ; Retrospective Studies

Humans ; Neutrophils/pathology* ; Hematologic Neoplasms ; Sepsis ; Retrospective Studies ; Bacteremia

Objective: To explore the value of preoperative peripheral blood inflammatory biomarkers for predicting the prognosis of intrahepatic cholangiocarcinoma (ICC) after radical resection. Methods: A total of 124 patients who underwent radical resection for ICC in the First Affiliated Hospital of Xi'an Jiaotong University from January 2010 to December 2018 were retrospectively analyzed. Receiver operating characteristic (ROC) curve was conducted to determine the best cut-off values of neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), systemic immune inflammatory index (SII), and systemic inflammatory response index (SIRI). Univariate and multivariate analyses of prognostic factors were performed using Cox proportional hazards regression model. Based on the independent prognostic factors screened by multivariate Cox regression analysis, a nomogram model of overall survival prediction for ICC patients after radical resection was established. Results: Among the 124 patients, 87 patients died and 37 patients survived during the follow-up period. The median overall survival time of the whole patients was 21 months. ROC curve analysis showed that the areas under the curve (AUC) of NLR, PLR, LMR, SII and SIRI for predicting the overall survival of ICC patients after radical resection were 57.86%, 64.21%, 60.61%, 67.57% and 66.03%, respectively. Univariate Cox regression analysis showed that the inflammatory biomarkers of NLR, PLR, SII, and SIRI were associated with overall survival of ICC after radical resection (HR=1.787, 95%CI: 1.165-2.741; HR=1.181, 95% CI: 1.224-2.892; HR=2.412, 95% CI: 1.565-3.717; HR=1.648, 95% CI: 1.081-2.513). Multivariate Cox regression analysis showed that the inflammatory biomarker of SII was an independent prognostic factor of ICC after radical resection (HR=1.863, 95% CI: 1.161-2.989). According to the best cut-off value of SII to predict the overall survival of ICC patients after radical resection (709.86×10(9)/L), the patients were divided into low SII group (SII≤709.86×10(9)/L) and high SII group (SII>709.86×10(9)/L). In the high SII group, the proportions of NLR>3.31, PLR>3.31, SIRI>1.30×10(9)/L, carbohydrate antigen 19-9>39.0 U/ml, Child-Pugh liver function (grade B), hemi-hepatic/extended hepatectomy, combined perineural invasion, N1 stage and TNM stage (ⅢB) were higher than those in the low SII group (P<0.05). Based on the independent prognostic factors screened by multivariate Cox regression analysis, a nomogram model of overall survival prediction for ICC after radical resection was established, the C-index values of the training set and testing set were 0.774 and 0.737, respectively. Conclusions: Preoperative peripheral blood inflammatory marker SII is an independent risk factor for the prognosis of intrahepatic cholangiocarcinoma patients after radical resection. The nomogram model of overall survival prediction established that included SII has a good predictive ability and can be used to evaluate the prognosis of intrahepatic cholangiocarcinoma patients after radical resection.
Humans ; Prognosis ; Retrospective Studies ; Inflammation ; Cholangiocarcinoma/surgery* ; Lymphocytes ; Neutrophils ; Biomarkers ; Bile Duct Neoplasms/pathology* ; Bile Ducts, Intrahepatic/pathology*

BACKGROUND: Lung cancer is the leading cause of cancer-related death, of which non-small cell lung cancer (NSCLC) is the most common type. Immune checkpoint inhibitors (ICIs) have now become one of the main treatments for advanced NSCLC. This paper retrospectively investigated the effect of peripheral blood inflammatory indexes on the efficacy of immunotherapy and survival of patients with advanced non-small cell lung cancer, in order to find strategies to guide immunotherapy in NSCLC. METHODS: Patients with advanced non-small cell lung cancer who were hospitalized in The Affiliated Cancer Hospital of Nanjing Medical University from October 2018 to August 2019 were selected to receive anti-PD-1 (pembrolizumab, sintilimab or toripalimab) monotherapy or combination regimens. And were followed up until 10 December 2020, and the efficacy was evaluated according to RECIST1.1 criteria. Progression-free survival (PFS) and overall survival (OS) were followed up for survival analysis. A clinical prediction model was constructed to analyze the predictive value of neutrophil-to-lymphocyte ratio (NLR) based on NLR data at three different time points: before treatment, 6 weeks after treatment and 12 weeks after treatment (0w, 6w and 12w), and the accuracy of the model was verified. RESULTS: 173 patients were finally included, all of whom received the above treatment regimen, were followed up for a median of 19.7 months. The objective response rate (ORR) was 27.7% (48/173), the disease control rate (DCR) was 89.6% (155/173), the median PFS was 8.3 months (7.491-9.109) and the median OS was 15.5 months (14.087-16.913). The chi-square test and logistic multi-factor analysis showed that NLR6w was associated with ORR and NLR12w was associated with ORR and DCR. Further Cox regression analysis showed that NLR6w and NLR12w affected PFS and NLR0w, NLR6w and NLR12w were associated with OS. CONCLUSIONS In patients with advanced non-small cell lung cancer, NLR values at different time points are valid predictors of response to immunotherapy, and NLR <3 is often associated with a good prognosis.
Aged ; Antibodies, Monoclonal, Humanized/therapeutic use* ; Antineoplastic Agents, Immunological/therapeutic use* ; Biomarkers/blood* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Female ; Humans ; Immunotherapy/methods* ; Inflammation/blood* ; Leukocyte Count ; Lung Neoplasms/pathology* ; Lymphocytes ; Male ; Middle Aged ; Neutrophils ; Predictive Value of Tests ; Prognosis ; Retrospective Studies ; Survival Analysis ; Treatment Outcome

Neutrophil extracellular traps(NET)is neutrophil-derived extracellular fiber web-like structure, composed of DNA scaffold studded with various active proteins. In addition to its bactericidal effect, NET is closely related to various diseases including immune disease, thrombosis and tumor. Recently, lots of researches have shown that NET is highly expressed in a variety of tumors, tumor cells and microenvironment can promote NET formation, whereas NET participates in tumor progression as well, and is closely related to tumor proliferation, metastasis and thrombosis, which provides new clinical thinking in tumor diagnosis as well as treatment indeed. This review will focus on the research progress of NET and tumor, meanwhile make a prospect for its clinical application value.
Extracellular Traps ; genetics ; Humans ; Neoplasms ; physiopathology ; Neutrophils ; pathology ; Tumor Microenvironment

Objective: To explore the predictive value of neutrophil/lymphocyte ratio (NLR) on myocardial injury in severe COVID-19 patients. Methods: In this single-center retrospective cohort study, we collected and analyzed data form 133 severe COVID-19 patients admitted to Renmin Hospital of Wuhan University (Eastern District) from January 30 to February 18, 2020. Patients were divided into myocardial injury group (n=29) and non-myocardial injury group (n=104) according the presence or absence of myocardial injury. The general information of patients was collected by electronic medical record database system. All patients were followed up for 30 days, the organ injury and/or dysfunction were monitored, the in-hospital death was compared between the two groups, and the disease progression was reevaluated and classified at 14 days after initial hospitalization. Logistic regression analysis was performed to identify risk factors of myocardial injury in severe COVID-19 patients. The ROC of NLR was calculated, and the AUC was determined to estimate the optimal cut-off value of NLR for predicting myocardial injury in severe cases of COVID-19. Results: There was statistical significance in age, respiratory frequency, systolic blood pressure, symptoms of dyspnea, previous chronic obstructive pulmonary disease, coronary heart disease history, white blood cells, neutrophils, lymphocytes, platelets, C-reactive protein, platelet counting, aspartate transaminase, albumin, total bilirubin, direct bilirubin, urea, estimated glomerular filtration rate, total cholesterol, low-density lipoprotein cholesterol, D-dimer, CD3⁺, CD4⁺, partial pressure of oxygen, partial pressure of CO₂, blood oxygen saturation, other organ injury, clinical outcome and prognosis between patients with myocardial injury and without myocardial injury (all P<0.05). Multivariate logistic regression analysis showed that NLR was a risk factor for myocardial injury (OR=1.066，95%CI 1.021-1.111，P=0.033). ROC curve showed that NLR predicting AUC of myocardial injury in severe COVID-19 patients was 0.774 (95%CI 0.694-0.842), the optimal cut-off value of NLR was 5.768, with a sensitivity of 82.8%, and specificity of 69.5%. Conclusion: NLR may be used to predict myocardial injury in severe COVID-19 patients.
Betacoronavirus ; COVID-19 ; Coronavirus Infections/pathology* ; Heart Diseases/virology* ; Humans ; Lymphocytes/cytology* ; Myocardium/pathology* ; Neutrophils/cytology* ; Pandemics ; Pneumonia, Viral/pathology* ; Prognosis ; ROC Curve ; Retrospective Studies ; SARS-CoV-2

Prostate cancer is the most common malignancy in the reproductive system of older males. Androgen deprivation therapy (ADT) is an important treatment for prostate cancer patients. However, almost all prostate cancer patients unavoidably progress to the castration-resistant stage after ADT treatment. Recent studies have shown that tumor-associated immune cells play major roles in the initiation, progression, and metastasis of prostate cancer. Various phenotypes of tumor-associated immune cells have tumor-promoting or antitumor functions mediated by interacting with tumor cells. Here, we review the current knowledge of tumor-associated immune cells in prostate cancer.
Disease Progression ; Humans ; Lymphocytes, Tumor-Infiltrating/pathology* ; Macrophages/pathology* ; Male ; Neutrophils/pathology* ; Prostatic Neoplasms/therapy* ; Prostatic Neoplasms, Castration-Resistant/therapy*