Gastric cancer (GC) is a highly prevalent malignant tumor of the digestive system, with high incidences and mortality rates worldwide, posing a serious threat to human health. Studies have shown that tumor-associated neutrophils (TAN) are closely related to adverse biological behaviors of GC, such as initiation, invasion and metastasis, immune evasion, and resistance to treatment, playing a pivotal role in the pathological progression of GC. This article aims to summarize the role of neutrophils in the onset and development of GC and explore their potential applications in GC treatment by reviewing relevant literature in recent years, in order to provide reference for clinicians and basic research.
Humans ; Stomach Neoplasms/therapy* ; Neutrophils/pathology* ; Animals

Asthma is a chronic inflammatory disease of the airway involving various cellular players. Among the different phenotypes of asthma, neutrophilic asthma is often associated with severe airway inflammation and a notable resistance to corticosteroid treatment. Macrophages, as innate immune cells, play a crucial role in the pathogenesis of neutrophilic asthma. They regulate neutrophil recruitment and activation to promote the progression of airway inflammation. During this process, macrophages also undergo changes in aspects such as efferocytosis. We reviewed the recent research progresses regarding the role of macrophages in the pathogenesis of neutrophilic asthma, aiming to provide valuable insights for future studies in this area.
Humans ; Asthma/pathology* ; Neutrophils/pathology* ; Macrophages/immunology* ; Animals ; Phagocytosis

Lung cancer is the malignant tumor with the highest mortality rate worldwide. The tumor microenvironment (TME) is a key factor in the progression of lung cancer, composed of tumor cells, signaling molecules, fibroblasts, immune cells, etc. Among them, tumor associated neutrophil (TAN), as an important component of immune cells in the TME, plays multiple roles in tumor cell proliferation, invasion, angiogenesis, and metastasis due to its aberrant function, and is closely associated with poor prognosis. However, there are limited researches on the mechanism of TAN in lung cancer. This review aims to provide more scientific basis for studying the therapeutic targets of lung cancer and developing new drugs by elucidating the different subtypes of TAN and their mechanisms of action in the occurrence and development of lung cancer.
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Humans ; Neutrophils/pathology* ; Lung Neoplasms/pathology* ; Tumor Microenvironment ; Animals

Objective:To explore the predictive value of preoperative peripheral hematological parameters combined with clinicopathological features for cervical lymph node metastasis（CLNM） in patients with laryngeal squamous cell carcinoma（LSCC）, and to construct and validate a nomogram model for CLNM. Methods:A retrospective analysis was conducted on the clinical data of 264 LSCC patients who underwent surgical treatment and were pathologically confirmed, collected from the Second Affiliated Hospital of Shandong First Medical University and Taian 88 Hospital. Specifically, 161 patients from one hospital were allocated to the training cohort, while 103 patients from another hospital constituted the validation cohort. Based on postoperative pathological results, patients were categorized into CLNM-positive and CLNM-negative groups. The general clinical data, clinicopathological features, and hematological parameters of the two groups were analyzed and compared. A preoperative predictive model for CLNM was developed using logistic regression analysis, followed by validation and sensitivity analysis to evaluate the robustness of the model's predictive performance. Results:The results showed that there were significant differences in tumor location, tumor size, tumor differentiation, neutrophil percentage, lymphocyte count, lymphocyte percentage, c-reactive protein（CRP）, fibrinogen, neutrophil-to-lymphocyte ratio（NLR）, platelet-to-lymphocyte ratio（PLR）, systemic immune-inflammation index（SII）, systemic inflammation response index（SIRI）, and prognostic inflammatory index（PIV） between the CLNM-positive and CLNM-negative groups（P<0.05）. Lasso regression identified tumor location, clinical T stage, tumor size, tumor differentiation degree, red blood cell distribution width（RDW） -coefficient of variation（RDW-CV）, CRP, FIB, D-dimer, NLR, and lymphocyte-to-monocyte ratio（LMR） were the most predictive parameters. Multivariate logistic regression revealed that tumor location, tumor size, tumor differentiation degree, CRP, and NLR were independent risk factors for CLNM in LSCC patients（P<0.05）. A nomogram was constructed based on these five factors. The model demonstrated excellent discrimination, with a C-index of 0.837（95%CI 0.766-0.908） in the training cohort and 0.809（95%CI 0.698-0.920） in the validation cohort. Calibration curves and DCA curves in both cohorts confirmed the clinical utility of the model. Sensitivity analysis further supported the robustness of the results, showing good discrimination and calibration across different age and BMI subgroups. Conclusion:Tumor location, tumor size, tumor differentiation degree, CRP, and NLR were independent risk factors for CLNM in LSCC patients. The nomogram based on these variables exhibits strong discrimination, calibration, and clinical applicability, and may serve as a valuable tool for preoperative risk assessment and individualized treatment planning.
Humans ; Nomograms ; Laryngeal Neoplasms/blood* ; Retrospective Studies ; Lymphatic Metastasis ; Carcinoma, Squamous Cell/blood* ; Lymph Nodes/pathology* ; Male ; Female ; Middle Aged ; Neck ; C-Reactive Protein ; Aged ; Logistic Models ; Neutrophils ; Prognosis

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

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 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*