Neutrophils in the Tumor Microenvironment

Smart materials in pharmacological drug development: Neutrophils and its constituents for drug delivery and consequent antitumor effects

Neutrophil-based drug delivery systems for targeted therapy of cancer have been studied widely in the recent past. Chemotactic cytokines including colony-stimulating factors (CSFs) recruit various immune cells including the neutrophils to the tumor microenvironment (TME) leading to enhanced metastasis. These cytokines can be targeted effectively by immunotherapeutic agents such as checkpoint inhibitors and mAbs that can lead to systemic toxicity. To minimize the systemic adverse effects, camouflaged nanoparticles can be used significantly as alternative therapeutic agents. The neutrophil-interacting NPs and neutrophil membrane coated NPs have been exploited recently for their antitumor properties in vitro and pose limited systemic adverse effects in vivo. Neutrophil-derived exosomes derived from immune cells can efficiently escape immune-surveillance and pass through the blood-brain barrier. They possess several intrinsic properties in drug delivery as they are nano-sized, extremely biocompatible, non-immunogenic, biodegradable, stable and can carry targeting agents with limited toxicity and display antitumor properties. Also, neutrophil-based nanotherapy is dependent on factors such as neutrophil kinetics and the physicochemical properties of NPs such as size, shape, and surface chemistry. Therefore, neutrophil-based drug delivery for cancer therapy via the use of polymer nanoparticles is widely studied as their clinical appliance in nanomedicine is still at its infancy.

KRAS and NRF2 drive metabolic reprogramming in pancreatic cancer cells: the influence of oxidative and nitrosatice stress

Cancer cells are subject to metabolic reprogramming, which leads to a sustained production of reactive oxygen species (ROS). Increased oxidative stress contributes to genomic instability and promotes malignant transformation. To counteract excessive ROS levels, cells activate nuclear factor erythroid 2-related factor 2 (NRF2), a key regulator of redox homeostasis that coordinates the transcription of a wide range of antioxidant and cytoprotective genes. This review examines the metabolic adaptations controlled by the KRAS-NRF2 axis under oxidative stress conditions. In addition, we highlight a novel function of NRF2 in regulating the expression of NOS2 by binding to a DNA enhancer element, thereby modulating the production of reactive nitrogen species (RNS). Finally, we discuss novel molecular strategies aimed at disrupting adaptive antioxidant responses in cancer cells and provide insights into combinatorial therapeutic approaches targeting redox balance in cancer.

Intratumoral Fusobacterium nucleatum Recruits Tumor-Associated Neutrophils to Promote Gastric Cancer Progression and Immune Evasion

Intratumoral microbiota can affect the development and progression of many types of cancer, including gastric cancer. A better understanding of the precise mechanisms by which microbiota support gastric cancer could lead to improved therapeutic approaches. In this study, we investigated the effect of intratumoral microbiota on the tumor immune microenvironment during gastric cancer malignant progression. Analysis of human gastric cancer tissues with 16S rRNA amplicon sequencing revealed that Fusobacterium nucleatum was significantly enriched in gastric cancer tissues with lymph node metastasis and correlated with a poor prognosis. F. nucleatum infection spontaneously induced chronic gastritis and promoted gastric mucosa dysplasia in mice. Furthermore, gastric cancer cells infected with F. nucleatum showed accelerated growth in immunocompetent mice compared with immunodeficient mice. Single-cell RNA sequencing uncovered that F. nucleatum recruited tumor-associated neutrophils (TAN) to reshape the tumor immune microenvironment. Mechanistically, F. nucleatum invaded gastric cancer cells and activated IL17/NF-κB/RelB signaling, inducing TAN recruitment. F. nucleatum also stimulated TAN differentiation into the protumoral subtype and subsequent promotion of PD-L1 expression, further facilitating gastric cancer immune evasion while also enhancing the efficacy of anti-PD-L1 antibody therapy. Together, these data uncover mechanisms by which F. nucleatum affects gastric cancer immune evasion and immunotherapy efficacy, providing insights for developing effective treatment strategies. Significance: Intratumoral F. nucleatum activates NF-κB signaling to facilitate gastric cancer immune evasion by promoting tumor-associated neutrophil recruitment that sensitizes tumors to immune checkpoint blockade therapy.

Development and application of an early warning model for predicting early mortality following stent placement in malignant biliary obstruction: A comparative analysis of logistic regression and artificial neural network approaches

Patients with malignant biliary obstruction (MBO) are often treated with endoscopic retrograde cholangiopancreatography (ERCP) combined with biliary stent placement for tumor progression. However, certain patients die within 30 days after the procedure, increasing healthcare resource consumption and patient burden. Therefore, the development of early mortality prediction models is important for optimizing treatment decisions. The present study retrospectively analyzed the clinical data of 285 patients with MBO, including demographic information, laboratory indicators and tumor-related factors. Logistic regression and artificial neural network (ANN) models were used to construct a prediction tool, and the model performance was evaluated using area under the curve (AUC), accuracy, sensitivity and specificity. The logistic regression model, which identified the cancer antigen 19-9 (CA19-9) level and a history of previous ERCP surgery as independent risk factors, had an AUC of 0.727 and an accuracy of 65.0%. The ANN model, which combined five variables, namely CA19-9, history of previous ERCP surgery, neutrophil-lymphocyte ratio (NLR), liver metastasis and carcinoembryonic antigen, demonstrated that NLR was the most weighted predictor. Furthermore, the ANN model had an AUC of 0.813, an accuracy of 88.2% and a specificity that was markedly higher than that of the logistic regression model (95.5 vs. 83.3%). However, the ANN model was revealed to be slightly less sensitive compared with the logistic regression model (61.1 vs. 61.2%). In conclusion, compared with logistic regression, the ANN model had a greater performance level in terms of predictive power and specificity, and is suitable for capturing complex non-linear relationships. However, its complexity and risk of overfitting need to be further optimized. The present study provides a new tool for the accurate prediction of the risk of early death after ERCP in patients with MBO, which could help improve individualized treatment strategies.

The predictive value of PIV, PLR, LMR, NPR, and NLR for the prognosis of transarterial chemoembolization in patients with hepatocellular carcinoma combined with liver cirrhosis

BACKGROUND

Transarterial chemoembolization (TACE) is a primary treatment for hepatocellular carcinoma (HCC) in patients with liver cirrhosis. Prognostic markers that reliably predict outcomes in these patients post-TACE remain insufficiently defined. Systemic inflammatory markers such as the Pan-Immunological Value (PIV), Platelet-Lymphocyte Ratio (PLR), Lymphocyte-Monocyte Ratio (LMR), Neutrophil-Platelet Ratio (NPR), and Neutrophil-Lymphocyte Ratio (NLR) offer potential prognostic insights for various disease. This study aims to evaluate this markers to ascertain their predictive value in determining prognosis post-TACE.

METHODS

This retrospective study involved 216 patients with HCC and cirrhosis treated with TACE at a single hospital from May 2017 to May 2023. Patients were stratified into good (n = 92) and poor prognosis groups (n = 124) based on one-year post-operative outcomes using the Response Evaluation Criteria in Solid Tumors (RECIST). We evaluated preoperative inflammatory markers, biochemical and imaging data, and utilized univariate and multivariate logistic regression analyses to determine predictive factors for prognosis.

RESULTS

Patients in the poor prognosis group exhibited significantly higher PIV, PLR, NLR, and NPR, and lower LMR (P < 0.05). Multivariate analysis identified PIV and NPR as the strongest independent predictors of poor prognosis (OR: 1.021, P < 0.001 and OR: 2.909, P < 0.001, respectively). ROC analysis demonstrated that PIV had the greatest predictive accuracy (AUC = 0.803).

CONCLUSION

PIV, PLR, LMR, NPR, and NLR serve as significant prognostic markers for patients with HCC undergoing TACE in the context of liver cirrhosis.

Preliminary study of neutrophils and neutrophil extracellular traps (NETs) in canine mammary tumors

Neutrophils play a complex role in cancer biology, can contributing to tumor progression and immune defense. Neutrophil extracellular traps (NETs) have emerged as key modulators within the tumor microenvironment. Herein, the association between molecular classification, histological grade, necrosis, tumor-infiltrating neutrophils, and NETs was assessed in 19 canine mammary malignant tumors. Immunohistochemistry using citrullinated histone-3 (cith3) and myeloperoxidase (MPO) antibodies were used to detect NETs. A fading and re-staining method was applied on the same sections. NETs were scored based on the presence of cith3 positive areas and compared with tumor grade. The neutrophil score numerically increased as the tumor grade increased. The NET score was slightly higher in grade I carcinomas compared to carcinomas with other grades. On contrary, the necrosis score was also higher in grade II and III tumors than grade I tumors. A low but non-significant negative correlation existed between tumor grade and NET score (r = -0.219). No statistically significant associations between the tumor markers (ER, PR, HER2) and molecular subtypes with tumor grade, NET score, neutrophil count, and necrosis. In this study, the presence of NETs in canine malignant mammary tumor of different histological subtypes and grades was reported. Preliminary evidence was gathered that NETs are negatively correlated with tumor grade, suggesting their potential role in prognostication.

Beyond the EPR effect: Intravital microscopy analysis of nanoparticle drug delivery to tumors

Delivery of nanoparticles (NPs) to solid tumors has long relied on enhanced permeability and retention (EPR) effect, involving permeation of NPs through a leaky vasculature with prolonged retention by reduced lymphatic drainage in tumor. Recent research studies and clinical data challenge EPR concept, revealing alternative pathways and approaches of NP delivery. The area was significantly impacted by the implementation of intravital optical microscopy, unraveling delivery mechanisms at cellular level in vivo. This review presents analysis of the reasons for EPR heterogeneity in tumors and describes non-EPR based concepts for drug delivery, which can supplement the current paradigm. One of the approaches is targeting tumor endothelium by NPs with subsequent intravascular drug release and gradient-driven drug transport to tumor interstitium. Others exploit various immune cells for tumor infiltration and breaking endothelial barriers. Finally, we discuss the involvement of active transcytosis through endothelial cells in NP delivery. This review aims to inspire further understanding of the process of NP extravasation in tumors and provide insights for developing next-generation nanomedicines with improved delivery.

The tumor microenvironment and dendritic cells: Developers of pioneering strategies in colorectal cancer immunotherapy?

Colorectal cancer (CRC) is the world's third most frequent cancer, and both its incidence and fatality rates are rising. Despite various therapeutic approaches, neither its mortality rate nor its recurrence frequency has decreased significantly. Additionally, conventional treatment approaches, such as chemotherapy and radiotherapy, have several side effects and risks for patients with CRC. Accordingly, the need for alternative and effective treatments for CRC patients is critical. Immunotherapy that utilizes dendritic cells (DCs) harnesses the patient's immune system to combat cancer cells effectively. DCs are the most potent antigen-presenting cells (APCs), which play a vital role in generating anti-cancer T cell responses. A significant barrier to the immune system's ability to eliminate CRC is the establishment of a potent immunosuppressive tumor milieu by malignant cells. Since DCs are frequently defective in this milieu, the tumor setting significantly reduces the effectiveness of DC-based therapy. Determining central mechanisms contributing to tumor growth by unraveling and comprehending the interaction between CRC tumor milieu and DCs may lead to new therapeutic approaches. This study aims to review DC biology and discuss its role in T-cell-mediated anti-tumor immunity, as well as to highlight the immunosuppressive effects of the CRC tumor milieu on the function of DCs. We will also highlight the tumor microenvironment (TME)-related factors that interfere with DC function as a possible therapeutic target to enhance DC-based cell therapy efficacy.

Neutrophil Extracellular Traps: At the Interface of Thrombosis and Comorbidities

Since their discovery in 2004, neutrophil extracellular traps (NETs) have been at the center of multidisciplinary attention. Although a key tool in neutrophil-mediated immunity, these filamentous, enzyme-enriched DNA-histone complexes can be detrimental to tissues and have been identified as an underlying factor in a range of pathological conditions. Building on more than 20 years of research into NETs, this review places thrombosis, the pathological formation of blood clots, in the spotlight. From this point of view, we discuss the structure and formation of NETs, as well as the interaction of their components with the hemostatic system, dissecting the pathways through which NETs exert their marked effect on formation and the dissolution of thrombi. We pay distinct attention to the latest developments in the research of a key player in NET formation, peptidyl-arginine-deiminase (PAD) enzymes: their types, sources, and potential cross-play with the hemostatic machinery. Besides these molecular details, we elaborate on the link between pathological thrombosis, NETs, and widespread conditions that represent a debilitating public health burden worldwide, such as sepsis and neoplasms. Finally, future implications on the treatment of thrombosis-related conditions will be discussed.

Complement regulators as novel targets for anti-cancer therapy: A comprehensive review

Cancer remains a formidable global health challenge requiring the continued exploration of innovative therapeutic approaches. While traditional treatment strategies including surgery, chemotherapy, and radiation therapy have had some success, primarily in early-stage disease, the quest for more targeted, personalized, safer, and effective therapies remains an ongoing pursuit. Over the past decade, significant advances in the field of tumor immunology have dramatically shifted a focus towards immunotherapy, although the ability to harness and coopt the immune system to treat cancer is still just beginning to be realized. One important area that has yet to be fully explored is the complement system, an integral part of innate immunity that has gathered attention recently as a source of potential targets for anti-cancer therapy. The complement system has a complex and context dependent role in cancer biology in that it not only contributes to immune surveillance but also may promote tumor progression. Complement regulators, including CD46, CD55, CD59, and complement factor H, exercise defined control over complement activation, and have also been acknowledged for their role in the tumor microenvironment. This review explores the intricate role of complement regulators in cancer development and progression, examining their potential as therapeutic targets, current strategies, challenges, and the evolving landscape of clinical research.

Prognostic significance of systemic immune inflammation index for ovarian cancer: An updated systematic review and meta-analysis

OBJECTIVE

Several inflammatory indices have been used to assess the prognosis of ovarian cancer, with variable results. This review assessed whether the systemic immune inflammation index (SII) can predict outcomes in patients with ovarian cancer.

METHODS

Embase, PubMed, CENTRAL, Web of Science, and Scopus databases were searched by the two reviewers from inception to 15th October 2024 for studies assessing the relationship between SII and overall survival (OS) or disease-free survival (DFS).

RESULTS

Ten studies with eleven cohorts were included. Pooled analysis showed that higher SII was a significant predictor of poor OS (HR: 2.35 95% CI: 1.56, 3.55 I2 = 88%) and worse DFS (HR: 2.51 95% CI: 1.71, 3.67 I2 = 80%) after ovarian cancer. Sensitivity analysis failed to change the significance of the results. No publication bias was noted. Most results remained significant on subgroup analyses based on location, sample size, FIGO stage, treatment, adjusted outcomes, cut-off of SII, method of determining cut-off, and quality score.

CONCLUSIONS

SII can be a potential predictor of OS and DFS after ovarian cancer. Further studies are required to improve the evidence.

Inflammatory biomarker correlations and prognosis in high-risk gastrointestinal stromal tumor patients: a multicenter retrospective analysis

BACKGROUND

The accurate prognosis of gastrointestinal stromal tumors (GISTs) has garnered substantial attention, yet a gap persists in understanding the influence of inflammatory markers on the prognosis of high-risk GIST patients. This study investigated the relationship between various factors and the prognosis of high-risk GIST patients, with a specific focus on first recurrence-free survival (RFS) and overall survival (OS) as crucial prognostic indicators.

METHODS

A comprehensive collection of clinical data was conducted on 145 high-risk GIST patients meeting specific inclusion and exclusion criteria at 17 medical centers in Ningxia Hui Autonomous Region, China, covering the period from January 2013 to December 2019. Single-factor analysis and survival curves were used to analyze the variables, while the Cox regression model evaluated independent prognostic factors.

RESULTS

Within the cohort, a balanced male-to-female ratio of 1:1.1 was observed. Univariate analysis revealed compelling associations between RFS and age, preoperative neutrophil-to-lymphocyte ratio (NLR), preoperative platelet-to-lymphocyte ratio (PLR), preoperative systemic immune-inflammatory index (SII), preoperative prognostic nutritional index (PNI), mitotic index, and whether or not imatinib (IM) was taken regularly in high-risk GIST patients (P < 0.05). Except age, these other variables were also significantly correlated with OS (P < 0.05). Cox regression analysis showed that age, preoperative PNI, mitotic index and postoperative IM adjuvant therapy independently affected RFS (P < 0.05). In addition, preoperative PNI and postoperative IM adjuvant therapy were also independent factors of OS, with statistical significance (P < 0.05). Age was negatively correlated with RFS, and early routine IM treatment after operation significantly reduced the risk of recurrence and death. Higher mitotic index is closely related to poor RFS, and higher preoperative PNI indicates a better prognosis.

CONCLUSION

A close correlation between young age, low preoperative PNI, high mitotic index, and lack of IM treatment had an unfavorable prognosis in high-risk GIST patients. Notably, the PNI was identified as a potential additional prognostic factor, enhancing the accuracy of predicting treatment efficacy and patient outcomes in high-risk patients with GISTs. Therefore, we advocate for the serious consideration of the PNI as a valuable addition to standard clinical practice for managing high-risk GIST patients.

Combined impact of prognostic nutritional index, fibrinogen-to-albumin ratio, and neutrophil-to-lymphocyte ratio on surgical outcomes and prognosis in hepatocellular carcinoma

This study evaluated the predictive value of the prognostic nutritional index (PNI), fibrinogen-to-albumin ratio (FAR), and neutrophil-to-lymphocyte ratio (NLR) for overall survival in hepatocellular carcinoma (HCC) patients. A total of 283 HCC cases from Hunan Provincial People's Hospital were included in the analysis, with 45 additional patients as external validation. The relationship between these indices and patient prognosis was further evaluated using the Kaplan-Meier method and Cox regression analysis. Receiver operating characteristic (ROC) curve analysis was performed to assess the predictive performance of these indices for overall survival (OS) and to determine the optimal cutoff values. ROC curve analysis revealed that the area under the curve (AUC) for PNI, FAR, and NLR was 0.723, 0.857, and 0.872, respectively. Multivariate analysis identified hepatitis history, intraoperative blood transfusion, FAR, NLR, and PNI as independent prognostic factors (all P<0.05). The resulting prediction model demonstrated strong performance in both the training (C-index =0.917) and external validation (C-index =0.853) cohorts, with AUCs of 0.889 and 0.931 for 6-month and 1-year prediction in the validation set, respectively. These findings suggest that preoperative levels of peripheral blood PNI, FAR, and NLR are closely associated with the surgical prognosis of HCC patients. The prognostic prediction model developed based on these indices exhibits good predictive efficacy.

P2RX1-blocked neutrophils induce CD8+ T cell dysfunction and affect the immune escape of gastric cancer cells

BACKGROUND

Gastric cancer (GC) is one of the deadly malignancies of the gastrointestinal tract. Research has confirmed the linkage of P2RX1 with immune cell activation and tumor progression. This project focused on the impact of P2RX1 level in neutrophils on the efficacy of immune checkpoint inhibitor (ICI) treatment in GC.

METHODS

Blood samples from 23 GC patients eligible for camrelizumab treatment were collected. Flow cytometry was carried out to analyze the proportion of P2RX1 in neutrophils. IHC was utilized to detect the expression level of PD-L1. We also evaluated the chemotaxis ability of neutrophils using a Transwell system, assessed the viability and apoptosis rate of GC cells using CCK-8 and flow cytometry, measured the proportions of CD8+PD-1+ and CD8+GZMB+ cells, determined the expression levels of IL-6, TNFα, IFN-γ, IL-8, IL-12, IL-1β, and GZMB by utilizing enzyme-linked immunosorbent assay (ELISA), and examined the expression levels of P2RX1 and PD-L1 using western blot (WB). By establishing a xenograft mouse model, we studied the impact of P2RX1-blocked neutrophils on the efficacy of ICI treatment in the GC microenvironment.

RESULTS

In GC, clinical analysis revealed increased infiltration of P2RX1-lowly expressed neutrophil subsets and increased expression of PD-L1. In vitro experiments demonstrated that abnormal expression of P2RX1 affected neutrophil function. Furthermore, the blockage or knockdown of P2RX1 in neutrophils modulated CD8+ T cell function, promoting GC progression. In in vivo experiments, the blockage of P2RX1 in neutrophils inhibited the effectiveness of ICI treatment in the GC microenvironment.

CONCLUSION

This project validated that the loss of P2RX1 in neutrophils induces CD8+ T cell dysfunction and affects the GC development, indicating that P2RX1 may be an accurate biomarker for predicting ICI response, thus providing a theoretical basis for the clinical application of ICI.

Mast Cell Density in Squamous Cell Carcinoma of Skin in Dogs and Cats

The purpose of the present study was to evaluate mast cell density in squamous cell carcinoma tissues of dogs and cats to assess species differences. Skin squamous cell carcinoma tissues from dogs (n = 15: n = 10 from body sites and n = 5 nail bed specimens) and cats (n = 15, n = 10 from ears and n = 5 nasal planum specimens) were examined. Intratumoral mast cell density (IMCD), peritumoral mast cell density (PMCD) and total mast cells density (TMCD) as a sum of IMCD and PMCD were calculated from Giemsa-stained slides at high magnification in 1 mm2 using an Olympus microscope (Olympus BX41, Tokyo, Japan) equipped with a digital Olympus DP72 image camera and CellSensDimension software V1.16). Both intratumoral and peritumoral tissues of the squa.mous cell carcinoma were divided into two categories: (1) loose, well-vascularized, rich in lymphocytes and plasmocytes, macrophages and neutrophils; and (2) fibrous, with few or no lymphocytes, plasmocytes, macrophages and neutrophils (the presence of neutrophils can be associated with actinic keratosis, mechanical irritation of the tumor in some anatomical areas during scratching with teeth, but, in general, neutrophils are associated with more invasive squamous cell carcinoma). In cats, a markedly higher total number of mast cells was found, and the number was also higher in intratumoral and peritumoral tissues. A similar tendency was found in both dogs and cats-a markedly higher number of mastocytes was found in both peritumoral and intratumoral loose, well-vascularized connective tissue. Conversely, lower numbers of mast cells were found in both intratumoral and peritumoral compact fibrous tissue in both animal species.

Harnessing the tumor microenvironment: targeted cancer therapies through modulation of epithelial-mesenchymal transition

The tumor microenvironment (TME) is integral to cancer progression, impacting metastasis and treatment response. It consists of diverse cell types, extracellular matrix components, and signaling molecules that interact to promote tumor growth and therapeutic resistance. Elucidating the intricate interactions between cancer cells and the TME is crucial in understanding cancer progression and therapeutic challenges. A critical process induced by TME signaling is the epithelial-mesenchymal transition (EMT), wherein epithelial cells acquire mesenchymal traits, which enhance their motility and invasiveness and promote metastasis and cancer progression. By targeting various components of the TME, novel investigational strategies aim to disrupt the TME's contribution to the EMT, thereby improving treatment efficacy, addressing therapeutic resistance, and offering a nuanced approach to cancer therapy. This review scrutinizes the key players in the TME and the TME's contribution to the EMT, emphasizing avenues to therapeutically disrupt the interactions between the various TME components. Moreover, the article discusses the TME's implications for resistance mechanisms and highlights the current therapeutic strategies toward TME modulation along with potential caveats.

Investigating lung cancer microenvironment from cell segmentation of pathological image and its application in prognostic stratification

Lung cancer, particularly adenocarcinoma, ranks high in morbidity and mortality rates worldwide, with a relatively low five-year survival rate. To achieve precise prognostic assessment and clinical intervention for patients, thereby enhancing their survival prospects, there is an urgent need for more accurate stratification schemes. Currently, the TNM staging system is predominantly used in clinical practice for prognostic evaluation, but its accuracy is constrained by the reliance on physician experience. Although biomarker discovery based on molecular pathology offers a new perspective for prognostic assessment, its dependence on expensive gene panel testing limits its widespread clinical application. Pathological images contain abundant diagnostic information, providing a new avenue for prognostic evaluation. In this study, we employed advanced Hover-Net technology to accurately quantify the abundance of epithelial cells, lymphocytes, macrophages, and neutrophils from pathological images, and delved into the clinical and biological significance of these cellular abundances. Our research findings reveal that, in contrast to patients classified as N0 stage, those belonging to the N1 stage demonstrated a marked elevation in the infiltration of epithelial cells, lymphocytes, macrophages, and neutrophils. Notably, the infiltration patterns of lymphocytes and neutrophils exhibited an inverse relationship with the activation status of numerous pivotal gene pathways, including the HALLMARK_HEME_METABOLISM pathway. Furthermore, our analysis distinguished FABP7 as a prognostic biomarker, exhibiting pronounced differential expression between patients with high and low levels of neutrophil infiltration, indicate that cellular abundance analysis based on pathological images can provide a more accurate and cost-effective prognostic evaluation, offering new strategies for the clinical management of lung adenocarcinoma.

The Role of Tumor-Associated Neutrophils in Early Luminal HER2-Negative Breast Cancer Progression

OBJECTIVES

To study the predictive role of tumor-associated neutrophils in early luminal HER2-negative breast cancer.

MATERIALS AND METHODS

This is a retrospective study conducted on 60 women cases aged from 31 to 79 years underwent surgery for luminal HER2-negative ductal breast cancer in tertiary care cancer centre. We first estimated basic morphological signs: tumor size, tumor grade (by Nottingham Histologic Score), tumor infiltrating lymphocytes (TILs), Lymphovascular invasion, hormonal receptors status, proliferative index, and regional lymph nodes metastasis. The expression of intratumoral neutrophils was studied by CD15 immunohistochemistry which was performed using tissue microarrays. The total number of intratumoral neutrophils, were counted in 5 high-power fields.

RESULTS

According to the Nottingham histologic score system, grade I cases were detected in 10 cases (16%), grade II in 34 cases (57%), and grade III in 16 cases (27%). Lymphovascular invasion was determined in 23 cases (38%), and perineural invasion in 14 cases (23%). Number of TILs varied from 0 to 14 (counted in 5 HPF) and averaged 4.2±0.5. Luminal A tumor phenotype was detected in 35 cases (58%), and luminal B HER2-negative in 25 cases (42%). Nineteen (32%) women had metastases in regional lymph nodes (N+). The number of tumor microenvironment neutrophils in luminal HER2-negative breast carcinomas ranged from 1 to 10 (counted in 5 HPF) with an average value of 2.7±0.4. High tumor-associated neutrophils concentration significantly correlated with tumor size (<5mm and >20mm) with p=0.05, high grade (p=0.01), high proliferative index ((r=0.67; p=0.05), TILs (p=0.05), Lymphovascular space invasion (p=0.01)and positive regional lymph nodes metastasis (p=0.001), but not perineural invasion (p=0.1) and also, did not correlate with the expression of estrogen (r=0.18) and progesterone (r=0.14) receptors.

CONCLUSION

Tumor-associated neutrophils strongly predict a worse prognosis in early luminal HER2-negative breast cancer.

Distinct Gene Expression and Immune Features Between Different Neutrophil Extracellular Trap-Related Osteosarcoma Subtypes

We sought to determine neutrophil extracellular trap (NET)-related genes' potential value in improving the efficacy of diagnosis and identifying novel therapeutic targets for osteosarcoma. Data were obtained from TARGET, GEO, and CCLE database. Differentially expressed genes were identified between the subtypes based on NET-related genes. PPI network was constructed using STRING, following by ClueGO enrichment analysis. Infiltration of immune cells was calculated by ssGSEA. Risk Score model was built by LASSO Cox regression analysis. Western blot and qRT-PCR were applied to validate the expression of genes used in the model. We identified 19 NET-related genes with prognostic potential in osteosarcoma using univariate Cox regression analysis. Patients from TARGET were clustered into two subtypes with distinct prognosis and immune features. 381 DEGs were identified between the two NET subtypes. Risk Score based on BST1, SELPLG, FPR1 and TNFRSF10C was reliable to predict the prognosis of osteosarcoma patients. The four genes expressed significantly lower in osteosarcoma than normal cells. Low Risk Score individuals only existed in C1 subtype with better prognosis. Osteosarcoma were clustered into two subtypes based on NET-related genes. Risk Score model constructed by four NET-related gene was able to independently predict the prognosis of osteosarcoma.

Prognostic role of the neutrophil/lymphocyte ratio in high-risk BCG-naïve non-muscle-invasive bladder cancer treated with intravesical gemcitabine/docetaxel

OBJECTIVES

To investigate the role of pretreatment neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in the prediction of response to sequential intravesical therapy, gemcitabine and docetaxel (Gem/Doce), given to patients with bacille Calmette-Guérin (BCG)- naïve high-risk non-muscle-invasive bladder cancer (NMIBC).

PATIENTS AND METHODS

A retrospective analysis was conducted on 115 patients who received intravesical Gem/Doce for high-risk NMIBC between January 2011 and December 2021. Data were computed as the median (interquartile range [IQR]) or mean (standard deviation [sd]). Cox regression analysis was performed to determine if neutrophilia, NLR, platelet counts, and PLR before instillation therapy were predictive of recurrence-free survival (RFS) and overall survival (OS). Predictive performance was estimated using Uno's C-statistic.

RESULTS

The median (IQR) follow-up for the overall cohort was 23 (13-36) months. The mean (sd) values for NLR, PLR and platelet counts were 3.4 (2.3), 142.2 (85.5), and 225.2 (75.1) × 109/L, respectively. NLR was associated with RFS, with a hazard ratio of 1.32 (95% confidence interval CI 1.19-1.46). Concordance analysis showed that NLR had a good ability to predict RFS (C-index: 0.7, P < 0.01). The PLR and platelet count were not associated with RFS and did not predict recurrence. In terms of OS, none of these cellular inflammatory markers showed any prediction value.

CONCLUSION

Pre-treatment NLR provides some predictive accuracy for RFS in high-risk BCG-naïve patients receiving Gem/Doce. Further prospective trials are needed to validate this finding.

Myeloid Cell Mobilization and Recruitment by Human Mesothelioma in NSG-SGM3 Mice

Malignant pleural mesothelioma is a neoplasm that is often detected late due to nonspecific symptoms. This study utilized NSG-SGM3 mice to examine interactions between a human-derived mesothelioma reporter cell line (MZT-Luc2-mCherry) and the host's myeloid compartment. Tumor growth was assessed using optical tomography, while cytokine/chemokine production was analyzed via multiplex assay. Histological and immunohistochemical analyses validated the epithelioid mesothelioma phenotype. In vitro mesothelioma cells secreted factors associated with myeloid cell chemoattraction and functions supporting the previously reported myeloid-biased secretory phenotype. In line with this, post-engraftment analysis revealed increased neutrophil-like Ly6G+ populations and decreased Ly6C+ inflammatory monocytes in the blood of tumor-bearing mice. Significant Ly6G+ cell infiltration was observed in the tumor, while CD11b+ myeloid cells were localized primarily in the tumor periphery. Tumor lysates showed increased levels of neutrophil chemoattractants and G-CSF, suggesting a previously not reported role of neutrophils in mesothelioma progression. This novel model provides a platform for studying mesothelioma-host interactions, focusing on the myeloid compartment. It may also serve as a tool to facilitate the development of new therapeutic strategies targeting myeloid cell-mediated mechanisms in mesothelioma.

Advances in molecular imaging and targeted therapeutics for lymph node metastasis in cancer: a comprehensive review

Lymph node metastasis is a critical indicator of cancer progression, profoundly affecting diagnosis, staging, and treatment decisions. This review article delves into the recent advancements in molecular imaging techniques for lymph nodes, which are pivotal for the early detection and staging of cancer. It provides detailed insights into how these techniques are used to visualize and quantify metastatic cancer cells, resident immune cells, and other molecular markers within lymph nodes. Furthermore, the review highlights the development of innovative, lymph node-targeted therapeutic strategies, which represent a significant shift towards more precise and effective cancer treatments. By examining cutting-edge research and emerging technologies, this review offers a comprehensive overview of the current and potential impact of lymph node-centric approaches on cancer diagnosis, staging, and therapy. Through its exploration of these topics, the review aims to illuminate the increasingly sophisticated landscape of cancer management strategies focused on lymph node assessment and intervention.

IGF2BP2 promotes lung adenocarcinoma progression by regulating LOX1 and tumor-associated neutrophils

Lung adenocarcinoma (LUAD) is the common form of lung cancer and is prone to distant metastasis. IGF2BP2, an m6A modification regulator, is upregulated in lung cancer tissue, but its specific role within the LUAD tumor microenvironment (TME) is unknown. We explored the role of IGF2BP2 in the progression of LUAD. IGF2BP2 expression in LUAD patient specimens and controls was evaluated through bioinformatics, Western blot, and immunohistochemistry. LUAD subcutaneous and orthotopic xenograft tumor models were established, alongside a co-culture system of tumor-associated neutrophils (TANs) and A549 cells. Functional assays assessed IGF2BP2's role under treatment with JX5, an IGF2BP2 inhibitor. Mechanistic assays explored the interaction between IGF2BP2 and LOX1 in 293T cells. IGF2BP2 was significantly upregulated in LUAD tissues, with higher expression levels predicting worse prognosis for patients (p < 0.001). In subcutaneous and orthotopic xenograft models, treatment with JX5, an IGF2BP2 inhibitor, reduced tumor size, volume, and weight (p < 0.001). JX5 also significantly reduced the concentrations of pro-inflammatory cytokines in peripheral blood (p < 0.01 and p < 0.001). Flow cytometry analysis indicated JX5 reduced CD11b+Ly6G+/CD45+ cells (TANs) in the TME (p < 0.001). Mechanistically, JX5 downregulated LOX1 expression in vivo, and co-culture experiments further demonstrated that IGF2BP2 promotes LUAD progression through LOX1-mediated regulation of TAN activity (p < 0.01 and p < 0.001). Overexpression of LOX1 reversed the inhibitory effects of JX5 on TAN infiltration, tumor cell viability, and apoptosis (p < 0.01 and p < 0.001). Additionally, RNA immunoprecipitation revealed that IGF2BP2 binds to LOX1 mRNA at its m6A modification site, stabilizing LOX1 and enhancing its function in the TME. Knockdown of IGF2BP2 accelerated LOX1 mRNA degradation, confirming its role in maintaining LOX1 stability (p < 0.01 and p < 0.001). IGF2BP2 recognizes and stabilizes LOX1 through m6A modification, contributing to TAN-mediated LUAD progression. Overall, these findings offer new insights into LUAD progression and demonstrate that IGF2BP2 is a key regulator that promotes tumor advancement, highlighting the IGF2BP2-LOX1 axis as a potential therapeutic target for LUAD.

T cell landscape in the microenvironment of human solid tumors

T cells are the main effectors involved in anti-tumor immunity, mediating most of the adaptive response towards cancer. After priming in lymph nodes, tumor antigens-specific naïve T lymphocytes proliferate and differentiate into effector CD4+ and CD8+ T cells that migrate from periphery into tumor sites aiming to eliminate cancer cells. Then while most effector T cells die, a small fraction persists and recirculates as long-lived memory T cells which generate enhanced immune responses when re-encountering the same antigen. A number of T (and non-T) cell subsets, stably resides in non-lymphoid peripheral tissues and may provide rapid immune response independently of T cells recruited from blood, against the reemergence of cancer cells. When tumor grows, however, tumor cells have evaded immune surveillance of effector cells (NK and CTL cells) which are exhausted, thus favoring the local expansion of T (and non-T) regulatory cells. In this review, the current knowledge of features of T cells present in the tumor microenvironment (TME) of solid adult and pediatric tumors, the mechanisms upregulating immune-checkpoint molecules and transcriptional and epigenetic landscapes leading to dysfunction and exhaustion of T effector cells are reviewed. The interaction of T cells with cancer- or TME non-neoplastic cells and their secreted molecules shape the T cell profile compromising the intrinsic plasticity of T cells and, therefore, favoring immune evasion. In this phase regulatory T cells contribute to maintain a high immunosuppressive TME thus facilitating tumor cell proliferation and metastatic spread. Despite the advancements of cancer immunotherapy, many tumors are unresponsive to immune checkpoint inhibitors, or therapeutical vaccines or CAR T cell-based adoptive therapy: some novel strategies to improve these T cell-based treatments are lastly proposed.

Polyphenols as Immunomodulators and Epigenetic Modulators: An Analysis of Their Role in the Treatment and Prevention of Breast Cancer

Breast cancer poses a substantial health challenge for women globally. Recently, there has been a notable increase in scholarly attention regarding polyphenols, primarily attributed to not only the adverse effects associated with conventional treatments but also their immune-preventive impacts. Polyphenols, nature-derived substances present in vegetation, including fruits and vegetables, have received considerable attention in various fields of science due to their probable wellness merits, particularly in the treatment and hindrance of cancer. This review focuses on the immunomodulatory effects of polyphenols in breast cancer, emphasizing their capacity to influence the reaction of adaptive and innate immune cells within the tumor-associated environment. Polyphenols are implicated in the modulation of inflammation, the enhancement of antioxidant defenses, the promotion of epigenetic modifications, and the support of immune functions. Additionally, these compounds have been shown to influence the activity of critical immune cells, including macrophages and T cells. By targeting pathways involved in immune evasion, polyphenols may augment the capacity of the defensive system to detect and eliminate tumors. The findings suggest that incorporating polyphenol-rich foods into the diet could offer a promising, collaborative (integrative) approach to classical breast cancer remedial procedures by regulating how the defense mechanism interacts with the disease.

CTC-neutrophil interaction: A key driver and therapeutic target of cancer metastasis

Circulating tumor cells (CTCs) are cancer cells that detach from the primary tumor and enter the bloodstream, where they can seed new metastatic lesions in distant organs. CTCs are often associated with white blood cells (WBCs), especially neutrophils, the most abundant and versatile immune cells in the blood. Neutrophils can interact with CTCs through various mechanisms, such as cell-cell adhesion, cytokine secretion, protease release, and neutrophil extracellular traps (NETs) formation. These interactions can promote the survival, proliferation, invasion, and extravasation of CTCs, as well as modulate the pre-metastatic niche and the tumor microenvironment. Therefore, inhibiting CTC-neutrophils interaction could be a potential strategy to reduce tumor metastasis and improve the prognosis of cancer patients. In this review, we summarize the current literature on CTC-neutrophils interaction' role in tumor metastasis and discuss the possible therapeutic approaches to target this interaction.

Prognostic value of systemic immune-inflammation index and systemic inflammation response index for oral cancers: A systematic review and meta-analysis

BACKGROUND

The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are commonly used prognostic indicators for a variety of cancers. However, their utility in oral cancers is unknown. We systematically examined evidence on the ability of SII and SIRI to predict overall survival (OS) and disease-free survival (DFS) after oral cancers.

MATERIAL AND METHODS

Embase, PubMed, Web of Science, and Scopus were searched for oral cancer studies reporting OS or DFS based on SII or SIRI. Articles published up to 25th May 2024 were included.

RESULTS

17 studies were eligible (14 on SII and 3 on SIRI). Pretreatment high SII scores were found to be significantly linked with poor OS (HR: 1.62 95% 1.26, 2.08 I2=88%) and DFS (HR: 1.62 95% 1.25, 2.27 I2=86%) after oral cancer. Similarly, high SIRI was associated with worse OS in oral cancer patients (HR: 1.60 95% 1.31, 1.94 I2=0%). All results were unchanged on sensitivity analysis. Subgroup analysis based on location, cancer type, sample size, treatment, cut-off, methods of determining cut-off, analysis method, and study quality showed mixed results.

CONCLUSIONS

Acknowledging the limitations of current evidence, it seems that both SII and SIRI can predict the prognosis of oral cancers. High SII and SIRI are both associated with worse OS while high SII also predicts worse DFS.

Association between the neutrophil-to-lymphocyte ratio and cancer in adults from NHANES 2005-2018: a cross-sectional study

Inflammation plays a crucial role in cancer development. The neutrophil-to-lymphocyte ratio (NLR), a measure of inflammation, is obtained from a complete blood count. However, little is known about the association between NLR and cancer in the general adult population in the United States. This study aimed to evaluate whether NLR is associated with cancer in American adults. This retrospective cross-sectional study included 28,016 adult participants from the National Health and Nutrition Examination Survey (NHANES) dataset spanning 2005 to 2018. Data on demographics (age, sex, race, marital status, Poverty-Income Ratio, education level), lifestyle factors (smoking, alcohol consumption, body mass index), medical conditions (hypertension, diabetes, cardiovascular disease), and laboratory parameters (hemoglobin, platelet count, alanine aminotransferase, creatinine, albumin, and lactate dehydrogenase), were collected. Logistic regression analysis was used to investigate the research objectives. Of the total 28,016 participants, 2639 had cancer. The mean age was 49.6 ± 17.6 years, and 50% were male. A positive association between NLR and cancer risk was observed after multivariate adjustment (OR = 1.20, 95% confidence interval (CI) = 1.05-1.36, p = 0.006). Similar patterns were observed in subgroup analyses (all p-values for interaction > 0.05). A higher NLR was directly correlated with an increased risk of developing cancer in adults.

Neutrophil chemotaxis score and chemotaxis-related genes have the potential for clinical application to prognosticate the survival of patients with tumours

As frontline cells, the precise recruitment of neutrophils is crucial for resolving inflammation and maintaining the homeostasis of the organism. Increasing evidence suggests the pivotal role of neutrophil chemotaxis in cancer progression and metastasis. Here, we collected clinical data and peripheral blood samples from patients with tumours to examine the alterations in the neutrophil quantity and chemotactic function using the Cell Chemotaxis Analysis Platform (CCAP). Transcriptome sequencing data of pan-cancer were obtained from The Cancer Genome Atlas (TCGA). Using the least absolute shrinkage and selection operator (LASSO) Cox regression model, we selected a total of 29 genes from 155 neutrophil- and chemotaxis-related genes to construct the ChemoScore model. Meanwhile, nomogram-based comprehensive model was established for clinical application. Furthermore, immunofluorescence (IF) staining was employed to assess the relationship between the neutrophils infiltrating and the survival outcomes of tumours. In this observational study, the chemotactic function of neutrophils was notably diminished in patients. The establishment and validation of ChemoScore suggested neutrophil chemotaxis to be a risk factor in most tumours, whereby higher scores were associated with poorer survival outcomes and were correlated with various immune cells and malignant biological processes. Moreover, IF staining of tumour tissue substantiated the adverse correlation between neutrophil infiltration and the survival of patients with lung adenocarcinoma (P = 0.0002) and colon adenocarcinoma (P = 0.0472). Taken together, patients with tumours demonstrated a decrease in chemotactic function. ChemoScore potentially prognosticates the survival of patients with tumours. Neutrophil chemotaxis provides novel directions and theoretical foundations for anti-tumour treatment.

The prognostic utility of the neutrophil to lymphocyte ratio in paediatric brain tumours: a retrospective case control study

INTRODUCTION

Paediatric brain tumours (PBT) are the most common cause of death among all childhood cancers. The neutrophil to lymphocyte ratio (NLR) has been shown to prognosticate many adult cancers. There is a paucity of literature on the NLR in PBTs. This study aims to study the link between PBTs and the NLR by comparing the preoperative serum NLR in children under 16 with brain tumours with their outcome in terms of grade of brain tumour and overall survival.

METHODS

This is a retrospective case control study. The NLRs were compared between patients with benign or malignant PBTs and patients who were alive or dead. Receiver-operating characteristic (ROC) curve analyses were performed and Youden indexes were calculated to evaluate the predictive potential of the NLR. A cut-off point of NLR > 4 was selected for the calculation of odds ratios.

RESULTS

A total of 515 patients were included in this study. 53.8% were male. 66.2% had benign PBTs. 81.0% were alive at the time of the study. Patients with malignant PBTs had a higher NLR compared to patients with benign PBTs (p = 0.0066**). There was no difference in the NLR between patients who were dead compared to those who were alive (p = 0.1682 ns). The NLR had a Youden's index of 0.1567 to predict malignant PBTs and 0.1285 to predict survival.

CONCLUSION

A high NLR was associated with an increased odds of having a malignant PBT but a reliable cut-off point was not identified and the underlying mechanisms for this remain unknown. The NLR is a poor diagnostic biomarker due to its poor overall sensitivity and specificity. More research is required to further study the role of immunity in PBTs.

Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neural networks

Objective

The early recurrence of hepatocellular carcinoma (HCC) correlates with decreased overall survival. Microvascular invasion (MVI) stands out as a prominent hazard influencing post-resection survival status and metastasis in patients with HBV-related HCC. The study focused on developing a web-based nomogram for preoperative prediction of MVI in HBV-HCC.

Materials and methods

173 HBV-HCC patients from 2017 to 2022 with complete preoperative clinical data and Gadopentetate dimeglumine-enhanced magnetic resonance images were randomly divided into two groups for the purpose of model training and validation, using a ratio of 7:3. MRI signatures were extracted by pyradiomics and the deep neural network, 3D ResNet. Clinical factors, blood-cell-inflammation markers, and MRI signatures selected by LASSO were incorporated into the predictive nomogram. The evaluation of the predictive accuracy involved assessing the area under the receiver operating characteristic (ROC) curve (AUC), the concordance index (C-index), along with analyses of calibration and decision curves.

Results

Inflammation marker, neutrophil-to-lymphocyte ratio (NLR), was positively correlated with independent MRI radiomics risk factors for MVI. The performance of prediction model combined serum AFP, AST, NLR, 15 radiomics features and 7 deep features was better than clinical and radiomics models. The combined model achieved C-index values of 0.926 and 0.917, with AUCs of 0.911 and 0.907, respectively.

Conclusion

NLR showed a positive correlation with MRI radiomics and deep learning features. The nomogram, incorporating NLR and MRI features, accurately predicted individualized MVI risk preoperatively.

A Review of the Prognostic Significance of Neutrophil-to-Lymphocyte Ratio in Nonhematologic Malignancies

Biomarkers are crucial in cancer diagnostics, prognosis, and surveillance. Extensive research has been dedicated to identifying biomarkers that are broadly applicable across multiple cancer types and can be easily obtained from routine investigations such as blood cell counts. One such biomarker, the neutrophil-to-lymphocyte ratio (NLR), has been established as a prognostic marker in cancer. However, due to the dynamic nature of cancer diagnosis and treatment, periodic updates are necessary to keep abreast of the vast amount of published data. In this review, we searched the PubMed database and analyzed and synthesized recent literature (2018-February 2024) on the role of NLR in predicting clinical outcomes in nonhematologic malignancies. The search was conducted using the PubMed database. We included a total of 88 studies, encompassing 28,050 human subjects, and categorized the findings into four major groups: gastrointestinal cancer, cancers of the urinary tract and reproductive system, lung cancer, and breast cancer. Our analysis confirms that NLR is a reliable prognostic indicator in cancer, and we discuss the specific characteristics, limitations, and exceptions associated with its use. The review concludes with a concise Q&A section, presenting the most relevant take-home messages in response to five key practical questions on this topic.

Tumor microenvironment: A playground for cells from multiple diverse origins

Tumor microenvironment is formed by various cellular and non-cellular components which interact with one another and form a complex network of interactions. Some of these cellular components also attain a secretory phenotype and release growth factors, cytokines, chemokines etc. in the surroundings which are capable of inducing even greater number of signalling networks. All these interactions play a decisive role in determining the course of tumorigenesis. The treatment strategies against cancer also exert their impact on the local microenvironment. Such interactions and anticancer therapies have been found to induce more deleterious outcomes like immunosuppression and chemoresistance in the process of tumor progression. Hence, understanding the tumor microenvironment is crucial for dealing with cancer and chemoresistance. This review is an attempt to develop some understanding about the tumor microenvironment and different factors which modulate it, thereby contributing to tumorigenesis. Along with summarising the major components of tumor microenvironment and various interactions taking place between them, it also throws some light on how the existing and potential therapies exert their impact on these dynamics.

Inflammation and Colorectal Cancer: A Meta-Analysis of the Prognostic Significance of the Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI)

The overall prognosis for colorectal cancer (CRC) remains challenging as the survival time varies widely, even in patients with the same stage of disease. Recent studies suggest prognostic relevance of the novel markers of systemic inflammation, the systemic immune-inflammation index (SII), and the systemic inflammation response index (SIRI). We conducted a comprehensive meta-analysis to assess the prognostic significance of the SII and the SIRI in CRC. We searched the relevant literature for observational studies, and random effects models were employed to conduct a statistical analysis using the metaanalysisonline.com platform. Pooled effect sizes were reported with hazard ratios (HRs) and corresponding 95% confidence intervals (CI). Data from 29 studies published between 2016 and 2024, comprising 10,091 participants, were included in our meta-analysis on SII. CRC patients with high SII levels had worse disease outcomes, which were associated with poor OS (HR: 1.75; 95% CI: 1.4-2.19) and poor PFS/DFS/RFS (HR: 1.25; 95% CI: 1.18-1.33). This increased risk of worse OS was present irrespective of the treatment strategy, sample size (<220 and ≥220), and cutoff used to define high and low SII (<550 and ≥550) groups. Based on data from five studies comprising 2362 participants, we found a strong association between the high SIRI and worse OS (HR: 2.65; 95% CI: 1.6-4.38) and DFS/RFS (HR: 2.04; 95% CI: 1.42-2.93). According to our results, both the SII and SIRI hold great promise as prognostic markers in CRC. Further validations are needed for their age- and stage-specific utility in the clinical routine.

Immune-enhancing neutrophils reprogrammed by subclinical low-dose endotoxin in cancer treatment

Despite the re-emergence of the pioneering "Coley's toxin" concept in anti-cancer immune therapies highlighted by check-point inhibitors and CAR-T approaches, fundamental mechanisms responsible for the immune-enhancing efficacy of low-dose "Coley's toxin" remain poorly understood. This study examines the novel reprogramming of immune-enhancing neutrophils by super-low dose endotoxin conducive for anti-cancer therapies. Through integrated analyses including scRNAseq and functional characterizations, we examined the efficacy of reprogrammed neutrophils in treating experimental cancer. We observed that neutrophils trained by super-low dose endotoxin adopt a potent immune-enhancing phenotype characterized by CD177loCD11bloCD80hiCD40hiDectin2hi. Both murine and human neutrophils trained by super-low dose endotoxin exhibit relieved suppression of adaptive T cells as compared to un-trained neutrophils. Functionally, neutrophils trained by super-low dose endotoxin can potently reduce tumor burden when transfused into recipient tumor-bearing mice. Mechanistically, Super-low dose endotoxin enables the generation of immune-enhancing neutrophils through activating STAT5 and reducing innate suppressor IRAK-M. Together, our data clarify the long-held mystery of "Coley's toxin" in rejuvenating anti-tumor immune defense, and provide a proof-of-concept in developing innate neutrophil-based anti-tumor therapeutics.

Immune-inflammatory modulation by natural products derived from edible and medicinal herbs used in Chinese classical prescriptions

BACKGROUND

Edible and medicinal herbs1 (EMHs) refer to a class of substances with dual attribution of food and medicine. These substances are traditionally used as food and also listed in many international pharmacopoeias, including the European Pharmacopoeia, the United States Pharmacopoeia, and the Chinese Pharmacopoeia. Some classical formulas that are widely used in traditional Chinese medicine include a series of EMHs, which have been shown to be effective with obvious characteristics and advantages. Notably, these EMHs and Chinese classical prescriptions2 (CCPs) have also attracted attention in international herbal medicine research because of their low toxicity and high efficiency as well as the rich body of experience for their long-term clinical use.

PURPOSE

Our purpose is to explore the potential therapeutic effect of EMHs with immune-inflammatory modulation for the study of modern cancer drugs.

STUDY DESIGN

In the present study, we present a detailed account of some EMHs used in CCPs that have shown considerable research potential in studies exploring modern drugs with immune-inflammatory modulation.

METHODS

Approximately 500 publications in the past 30 years were collected from PubMed, Web of Science and ScienceDirect using the keywords, such as natural products, edible and medicinal herbs, Chinese medicine, classical prescription, immune-inflammatory, tumor microenvironment and some related synonyms. The active ingredients instead of herbal extracts or botanical mixtures were focused on and the research conducted over the past decade were discussed emphatically and analyzed comprehensively.

RESULTS

More than ten natural products derived from EMHs used in CCPs are discussed and their immune-inflammatory modulation activities, including enhancing antitumor immunity, regulating inflammatory signaling pathways, lowering the proportion of immunosuppressive cells, inhibiting the secretion of proinflammatory cytokines, immunosuppressive factors, and inflammatory mediators, are summarized.

CONCLUSION

Our findings demonstrate the immune-inflammatory modulating role of those EMHs used in CCPs and provide new ideas for cancer treatment in clinical settings.

Stimulating the Antitumor Immune Response Using Immunocytokines: A Preclinical and Clinical Overview

Cytokines are immune modulators which can enhance the immune response and have been proven to be an effective class of immunotherapy. Nevertheless, the clinical use of cytokines in cancer treatment has faced several challenges associated with poor pharmacokinetic properties and the occurrence of adverse effects. Immunocytokines (ICKs) have emerged as a promising approach to overcome the pharmacological limitations observed with cytokines. ICKs are fusion proteins designed to deliver cytokines in the tumor microenvironment by taking advantage of the stability and specificity of immunoglobulin-based scaffolds. Several technological approaches have been developed. This review focuses on ICKs designed with the most impactful cytokines in the cancer field: IL-2, TNFα, IL-10, IL-12, IL-15, IL-21, IFNγ, GM-CSF, and IFNα. An overview of the pharmacological effects of the naked cytokines and ICKs tested for cancer therapy is detailed. A particular emphasis is given on the immunomodulatory effects of ICKs associated with their technological design. In conclusion, this review highlights active ways of development of ICKs. Their already promising results observed in clinical trials are likely to be improved with the advances in targeting technologies such as cytokine/linker engineering and the design of multispecific antibodies with tumor targeting and immunostimulatory functional properties.

TREM1 facilitates the development of gastric cancer through regulating neutrophil extracellular traps-mediated macrophage polarization

Triggering receptor expressed on myeloid cell 1 (TREM1) elevation is associated with the unfavorable prognosis of gastric cancer (GC) patients. This work uncovered the effects and mechanism of TREM1 in GC. IHC staining examined TREM1 expression in GC tissues. TREM1-knockout and TREM1 knock-in mice were generated prior to the construction of N-methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced GC mice model. H&E staining detected the pathological alternations of gastric tissues. IHC staining tested Ki67 expression. Wright-Giemsa staining performed neutrophil counting and flow cytometry analysis measured neutrophil infiltration. ELISA analyzed serum and tissue myeloperoxidase (MPO) levels and serum MPO-DNA levels. Immunofluorescence, Western blotting and related kits detected NETs formation. Immunofluorescence and IHC staining evaluated macrophage polarization. In MNNG-treated GES-1 cells and phorbal myristate acetate (PMA)-treated neutrophils, TREM1 expression was also examined. CCK-8 method and Western blotting assayed cell proliferation. Western blotting and immunofluorescence detected NETs formation. Flow cytometry analysis detected the changes of macrophage typing. TREM1 was overexpressed in tumor tissues, MNNG-treated GES-1 cells and PMA-treated neutrophils. TREM1 deficiency hindered tumor growth, reduced neutrophil infiltration, NETs formation and stimulated M1 macrophage polarization in MNNG-induced GC models. Neutrophil extracellular traps (NETs) degrader DNase-1 countervailed the impacts of TREM1 on MNNG-induced GC models in vivo. Collectively, TREM1 knockdown obstructed NETs-mediated M2 macrophage polarization to hamper GC progression.

Prognostic Significance of Pan-Immune-Inflammation Value in Patients with HER2-Positive Metastatic Breast Cancer Treated with Trastuzumab Emtansine

Trastuzumab emtansine (T-DM1) is a mainstay therapy for HER2-positive metastatic breast cancer (mBC). However, identifying patients who will benefit most remains a challenge due to the lack of reliable biomarkers. The recently developed pan-immune-inflammation value (PIV), a novel immune-inflammation marker, could aid in this regard, considering the immunomodulatory effects of T-DM1. Therefore, we aimed to evaluate the association between the PIV and the efficacy of T-DM1 in patients with HER2-positive mBC. A total of 122 HER2-positive mBC patients treated with T-DM1 were included. Receiver operating characteristic (ROC) curve analyses were conducted to determine the optimal PIV threshold value for survival prediction. Kaplan-Meier survival curves and Cox regression analyses were used for univariable and multivariable survival analyses, respectively. The median age was 51 years, and 95.1% of the patients had ECOG PS 0-1. The optimal PIV cutoff value was identified as 338 in ROC analyses (AUC: 0.667, 95% CI: 0.569-0.765, p = 0.002). The multivariate analysis revealed that patients in the high-PIV group had significantly shorter OS (HR: 2.332; 95% CI: 1.408-3.861; p = 0.001) and PFS (HR: 2.423; 95% CI: 1.585-3.702; p < 0.001) than patients in the low-PIV group. Additionally, both ORR and DCR were significantly lower in the high-PIV group (36.6% vs. 61.3%, p = 0.011; 56.1% vs. 76.0%, p = 0.027). Our findings suggest that pre-treatment PIV may be a novel prognostic biomarker for HER2-positive mBC patients receiving T-DM1. A low PIV level is associated with more favorable outcomes. Future prospective studies are warranted to validate these findings and explore the potential utility of PIV in aiding treatment decisions.

Enhancing cancer therapy: The role of drug delivery systems in STAT3 inhibitor efficacy and safety

The signal transducer and activator of transcription 3 (STAT3), a member of the STAT family, resides in the nucleus to regulate genes essential for vital cellular functions, including survival, proliferation, self-renewal, angiogenesis, and immune response. However, continuous STAT3 activation in tumor cells promotes their initiation, progression, and metastasis, rendering STAT3 pathway inhibitors a promising avenue for cancer therapy. Nonetheless, these inhibitors frequently encounter challenges such as cytotoxicity and suboptimal biocompatibility in clinical trials. A viable strategy to mitigate these issues involves delivering STAT3 inhibitors via drug delivery systems (DDSs). This review delineates the regulatory mechanisms of the STAT3 signaling pathway and its association with cancer. It offers a comprehensive overview of the current application of DDSs for anti-STAT3 inhibitors and investigates the role of DDSs in cancer treatment. The conclusion posits that DDSs for anti-STAT3 inhibitors exhibit enhanced efficacy and reduced adverse effects in tumor therapy compared to anti-STAT3 inhibitors alone. This paper aims to provide an outline of the ongoing research and future prospects of DDSs for STAT3 inhibitors. Additionally, it presents our insights on the merits and future outlook of DDSs in cancer treatment.

Targeting lipid reprogramming in the tumor microenvironment by traditional Chinese medicines as a potential cancer treatment

In the last ten years, there has been a notable rise in the study of metabolic abnormalities in cancer cells. However, compared to glucose or glutamine metabolism, less attention has been paid to the importance of lipid metabolism in tumorigenesis. Recent developments in lipidomics technologies have allowed for detailed analysis of lipid profiles within cancer cells and other cellular players present within the tumor microenvironment (TME). Traditional Chinese medicine (TCM) and its bioactive components have a long history of use in cancer treatments and are also being studied for their potential role in regulating metabolic reprogramming within TME. This review focuses on four core abnormalities altered by lipid reprogramming in cancer cells: de novo synthesis and exogenous uptake of fatty acids (FAs), upregulated fatty acid oxidation (FAO), cholesterol accumulation, which offer benefits for tumor growth and metastasis. The review also discusses how altered lipid metabolism impacts infiltrating immune cell function and phenotype as these interactions between cancer-stromal become more pronounced during tumor progression. Finally, recent literature is highlighted regarding how cancer cells can be metabolically reprogrammed by specific Chinese herbal components with potential therapeutic benefits related to lipid metabolic and signaling pathways.

Susceptibility of Melanoma Cells to Targeted Therapy Correlates with Protection by Blood Neutrophils

Elevated levels of peripheral blood and tumor tissue neutrophils are associated with poorer clinical response and therapy resistance in melanoma. The underlying mechanism and the role of neutrophils in targeted therapy is still not fully understood. Serum samples of patients with advanced melanoma were collected and neutrophil-associated serum markers were measured and correlated with response to targeted therapy. Blood neutrophils from healthy donors and patients with advanced melanoma were isolated, and their phenotypes, as well as their in vitro functions, were compared. In vitro functional tests were conducted through nonadherent cocultures with melanoma cells. Protection of melanoma cell lines by neutrophils was assessed under MAPK inhibition. Blood neutrophils from advanced melanoma patients exhibited lower CD16 expression compared to healthy donors. In vitro, both healthy-donor- and patient-derived neutrophils prevented melanoma cell apoptosis upon dual MAPK inhibition. The effect depended on cell-cell contact and melanoma cell susceptibility to treatment. Interference with protease activity of neutrophils prevented melanoma cell protection during treatment in cocultures. The negative correlation between neutrophils and melanoma outcomes seems to be linked to a protumoral function of neutrophils. In vitro, neutrophils exert a direct protective effect on melanoma cells during dual MAPK inhibition. This study further hints at a crucial role of neutrophil-related protease activity in protection.

The double life of a chemotherapy drug: Immunomodulatory functions of gemcitabine in cancer

Although the development of immunotherapies has been revolutionary in the treatment of several cancers, many cancer types remain unresponsive to immune-based treatment and are largely managed by chemotherapy drugs. However, chemotherapeutics are not infallible and are frequently rendered ineffective as resistance develops from prolonged exposure. Recent investigations have indicated that some chemotherapy drugs have additional functions beyond their normative cytotoxic capacity and are in fact immune-modifying agents. Of the pharmaceuticals with identified immune-editing properties, gemcitabine is well-studied and of interest to clinicians and scientists alike. Gemcitabine is a chemotherapy drug approved for the treatment of multiple cancers, including breast, lung, pancreatic, and ovarian. Because of its broad applications, relatively low toxicity profile, and history as a favorable combinatory partner, there is promise in the recharacterization of gemcitabine in the context of the immune system. Such efforts may allow the identification of suitable immunotherapeutic combinations, wherein gemcitabine can be used as a priming agent to improve immunotherapy efficacy in traditionally insensitive cancers. This review looks to highlight documented immunomodulatory abilities of one of the most well-known chemotherapy agents, gemcitabine, relating to its influence on cells and proteins of the immune system.

Tumor metabolic crosstalk and immunotherapy

Tumor cells must resist the host's immune system while maintaining growth under harsh conditions of acidity and hypoxia, which indicates that tumors are more robust than normal tissue. Immunotherapeutic agents have little effect on solid tumors, mostly because of the tumor density and the difficulty of penetrating deeply into the tissue to achieve the theoretical therapeutic effect. Various therapeutic strategies targeting the tumor microenvironment (TME) have been developed. Immunometabolic disorders play a dominant role in treatment resistance at both the TME and host levels. Understanding immunometabolic factors and their treatment potential may be a way forward for tumor immunotherapy. Here, we summarize the metabolism of substances that affect tumor progression, the crosstalk between the TME and immunosuppression, and some potential tumor-site targets. We also summarize the progress and challenges of tumor immunotherapy.

Transcatheter arterial chemoembolisation combined with lenvatinib and cabozantinib in the treatment of advanced hepatocellular carcinoma

OBJECTIVE

The objective of this study was to evaluate the effect and prognosis of transcatheter arterial chemoembolisation (TACE) combined with lenvatinib and cabozantinib in the treatment of advanced unresectable hepatocellular carcinoma (uHCC) and identify the predictors of prognosis related to cellular inflammation and body mass index (BMI). To the best of our knowledge, this is the first study to report the efficacy and prognosis of TACE combined with lenvatinib and cabozantinib in patients with uHCC and propose the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) as predictors of response and survival outcomes in this context.

METHODS

The clinicopathologic data of 217 patients with advanced uHCC who underwent TACE combined with systemic therapy (lenvatinib mesylate + cabozantinib) in the Department of Hepatobiliary Surgery, Dazhou Central Hospital between October 2017 and February 2020 were collected retrospectively, and the relevant parameters were analysed and compared.

RESULTS

Univariate and multivariate logistic regression analyses showed that BMI, NLR, PLR and prothrombin time were independent factors for the objective response rate (ORR) of transformed therapy for uHCC (OR = 0.812 vs 1,290.68 vs 1.067 vs 0.626, 95 % CI: 0.719-0.897 vs 108.081-11,541.137 vs 1.037-1.099 vs 0.414-0.946, respectively, p < 0.05). The results showed that BMI, NLR and PLR had certain predictive values for the ORR in patients with liver cancer undergoing translational therapy (p < 0.05); the combined predictive effect of the three was the best, and the area under the curve (AUC) of BMI + NLR + PLR for predicting the ORR in patients with liver cancer undergoing translational therapy was 0.951 (95 % CI: 0.921, 0.964). A total of 181 patients experienced adverse reactions at different grades, including 104 cases at grade 1, 50 cases at grade 2, 22 cases at grade 3 and 5 cases at grade 4. There was a significant difference in overall survival (OS) between low- and high-NLR groups, low- and high-PLR groups and low- and high-BMI groups (χ2 = 9.644, 8.313 and 10.314, respectively, p < 0.05). There was a significant difference in progression-free survival (PFS) between the low- and high-NLR groups, the low- and high-PLR groups and the low- and high-BMI groups (χ2 = 8.965, 9.783 and 6.343, respectively, p < 0.05).

CONCLUSION

Transcatheter arterial chemoembolisation combined with lenvatinib and cabozantinib is safe and effective in the treatment of advanced uHCC, with controllable adverse reactions. High NLR and PLR and low BMI values before treatment were independent risk factors for the ORR. Body mass index, NLR and PLR predicted responses to triple switch therapy and survival outcomes in uHCC. Patients with pretreatment NLR ≥ 2.96 and PLR ≥ 184.41 had worse OS and PFS rates. Patients with pretreatment BMI ≥ 23 kg/m2 had improved OS and a reduced risk of death.

Natural Killer Cell Mechanosensing in Solid Tumors

Natural killer (NK) cells, which are an exciting alternative cell source for cancer immunotherapies, must sense and respond to their physical environment to traffic to and eliminate cancer cells. Herein, we review the mechanisms by which NK cells receive mechanical signals and explore recent key findings regarding the impact of the physical characteristics of solid tumors on NK cell functions. Data suggest that different mechanical stresses present in solid tumors facilitate NK cell functions, especially infiltration and degranulation. Moreover, we review recent engineering advances that can be used to systemically study the role of mechanical forces on NK cell activity. Understanding the mechanisms by which NK cells interpret their environment presents potential targets to enhance NK cell immunotherapies for the treatment of solid tumors.

Theranostic Fluorescent Probes

The ability to gain spatiotemporal information, and in some cases achieve spatiotemporal control, in the context of drug delivery makes theranostic fluorescent probes an attractive and intensely investigated research topic. This interest is reflected in the steep rise in publications on the topic that have appeared over the past decade. Theranostic fluorescent probes, in their various incarnations, generally comprise a fluorophore linked to a masked drug, in which the drug is released as the result of certain stimuli, with both intrinsic and extrinsic stimuli being reported. This release is then signaled by the emergence of a fluorescent signal. Importantly, the use of appropriate fluorophores has enabled not only this emerging fluorescence as a spatiotemporal marker for drug delivery but also has provided modalities useful in photodynamic, photothermal, and sonodynamic therapeutic applications. In this review we highlight recent work on theranostic fluorescent probes with a particular focus on probes that are activated in tumor microenvironments. We also summarize efforts to develop probes for other applications, such as neurodegenerative diseases and antibacterials. This review celebrates the diversity of designs reported to date, from discrete small-molecule systems to nanomaterials. Our aim is to provide insights into the potential clinical impact of this still-emerging research direction.

Extracellular vesicle-mediated pre-metastatic niche formation via altering host microenvironments

The disordered growth, invasion and metastasis of cancer are mainly attributed to bidirectional cell-cell interactions. Extracellular vesicles (EVs) secreted by cancer cells are involved in orchestrating the formation of pre-metastatic niches (PMNs). Tumor-derived EVs mediate bidirectional communication between tumor and stromal cells in local and distant microenvironments. EVs carrying mRNAs, small RNAs, microRNAs, DNA fragments, proteins and metabolites determine metastatic organotropism, enhance angiogenesis, modulate stroma cell phenotypes, restructure the extracellular matrix, induce immunosuppression and modify the metabolic environment of organs. Evidence indicates that EVs educate stromal cells in secondary sites to establish metastasis-supportive microenvironments for seeding tumor cells. In this review, we provide a comprehensive overview of PMN formation and the underlying mechanisms mediated by EVs. Potential approaches to inhibit cancer metastasis by inhibiting the formation of PMNs are also presented.

Roles of endothelial cell specific molecule‑1 in tumor angiogenesis (Review)

Angiogenesis plays a crucial role in tumor growth and metastasis, and is heavily influenced by the tumor microenvironment (TME). Endothelial cell dysfunction is a key factor in tumor angiogenesis and is characterized by the aberrant expression of pro-angiogenic factors. Endothelial cell specific molecule-1 (ESM1), also known as endocan, is a marker of endothelial cell dysfunction. Although ESM1 is primarily expressed in normal endothelial cells, dysregulated ESM1 expression has been observed in human tumors and animal tumor models, and implicated in tumor growth, metastasis and angiogenesis. The precise role of ESM1 in tumor angiogenesis and its potential regulatory mechanisms are not yet conclusively defined. However, the aim of the present review was to explore the involvement of ESM1 in the process of tumor angiogenesis in the TME and the characteristics of neovascularization. In addition, the present review discusses the interaction between ESM1 and angiogenic factors, as well as the mechanisms through which ESM1 contributes to tumor angiogenesis. Furthermore, the reciprocal regulation between ESM1 and the TME is explored. Finally, the potential of targeting ESM1 as a therapeutic strategy for tumor angiogenesis is presented.

Bioinformatic analysis reveals prognostic value and immunotherapy potential of Siglec-15 in laryngeal squamous cell carcinoma

Background

Laryngeal squamous cell carcinoma (LSCC) is the ultimate common malignant head and neck cancer with dismal prognosis. The expression pattern and clinical significance of Siglec-15 (Sialic acid-binding immunoglobulin-like lectin 15) in LSCC are poorly understood. In order to lay the groundwork for future immune-related research on Siglec-15 in LSCC, we set out to study its expression and prognostic importance in the disease, as well as to use bioinformatics to investigate the immune features modulated by Siglec-15 in LSCC.

Methods

① In order to get the gene expression profile and clinical data for TCGA head and neck cancer (TCGA-HNSC), you may access the relevant data from UCSC xena and use 110 cases of laryngeal cancer as a training set. Two datasets, GSE27020 and GSE25727, were obtained from the GEO databank and utilized as validation sets. These datasets include expression profiles and clinical information. The Siglec-15 gene and immune characteristics were analyzed by bioinformatics methods. ② Retrospectively collected routine paraffin specimens from patients with pathological diagnosis of squamous cell carcinoma from December 2012 to November 2015 in Sun Yat-sen Memorial Hospital and fresh frozen tissue of patients from June 2021 to March 2022. Immunohistochemistry method, immunofluorescence technique and real-time quantitative PCR was used to examine the difference of Siglec-15 appearance in LSCC tissue and adjacent tissue, and its correlation of prognosis, clinic pathological characteristics and CD8+T lymphocyte infiltration. Using human laryngeal cancer cell line (LCC), we studied the influence of Siglec-15 in cell proliferation and invasion.

Results

We identified Siglec-15 was upregulated in LSCC. The patients in Siglec-15 high expression group had a poor overall survival (OS) based on the clinical information from TGCA and 111 LSCC patients that hospitalized in Sun Yat-sen Memorial Hospital. The COX regression analysis indicated Siglec-15 as an independent predictor for poor prognosis of LSCC. Bioinformatic analysis suggested that the high expression of Siglec-15 shape an immune suppressive tumor microenvironment (TEM), leading to poor response to immunotherapy in LSCC. Siglec-15 enhanced cell invasion and proliferation, as we showed in vitro.

Conclusion

Our study support Siglec-15 as a potential predictor for LSCC prognosis and an attractive target for LSCC immunotherapy.