The Role of Neutrophilic Granulocytes in Philadelphia Chromosome Negative Myeloproliferative Neoplasms

Neutrophils in BCR::ABL1 negative MPN: Contributors or bystanders of fibrosis?

BCR::ABL1 negative myeloproliferative neoplasms (MPNs) are a heterogenous group of disorders characterized by clonal proliferation of hematopoietic stem and progenitor cells (HSPCs) within the bone marrow. Although the identification of somatic key driver mutations significantly increased both understanding and diagnostic accuracy of MPNs, many questions about the exact pathophysiology remain unanswered. Increased neutrophil count at diagnosis is a well-recognized predictor of worse disease evolution and survival, nonetheless the exact role of neutrophilic granulocytes within MPN pathophysiology is almost unexplored. As the majority of these cells are residing within the bone marrow, they represent a non-negligible entity within the bone marrow niche and its homeostasis. This review describes how neutrophils might contribute to the development of the inflammatory bone marrow niche, and hereby also fibrosis, associated with MPNs. The versatile functions and effects in different contexts emphasize the necessity for future research oriented to bone marrow in addition to peripheral blood.

High Expression of Cancer-Derived Sialylated Immunoglobulin G: A Novel Biomarker for Poor Prognosis in Laryngeal Squamous Cell Carcinoma

INTRODUCTION

Laryngeal squamous cell carcinoma (LSCC) is the most common type of laryngeal cancer, with around 60% of patients being diagnosed at an advanced stage. Recently, cancer-derived sialylated immunoglobulin G (SIA-IgG) has been suggested to play a role in the progression of various epithelial tumors, but its significance in LSCC remains unknown. This study aimed to investigate the clinical significance of SIA-IgG as a novel biomarker in relation to the initiation, progression, and prognostication of LSCC.

METHODS

Immunohistochemistry (IHC) was utilized to assess SIA-IgG expression in tumor samples from 75 LSCC patients, aiming to investigate its correlation with clinical prognosis. In vitro functional experiments were conducted to explore the impact of SIA-IgG expression on the proliferative and migratory abilities of laryngocarcinoma cells.

RESULTS

High expression of SIA-IgG was associated with pT stage, pN stage, TNM stage, and recurrence during follow-up and was correlated with poor disease-free survival (DFS) and overall survival (OS). Multivariate Cox analysis demonstrated that SIA-IgG served as an independent risk factor for OS and DFS. Knocking down SIA-IgG significantly weakened laryngocarcinoma cells' proliferation, clonogenesis, and migration abilities.

CONCLUSIONS

The frequent expression of SIA-IgG in LSCC is significantly associated with poor prognosis. High levels of SIA-IgG can enhance proliferation and migration in laryngocarcinoma cells. These findings suggest that SIA-IgG has potential as a novel biomarker for LSCC.

The role of leukocytes in myeloproliferative neoplasm thromboinflammation

Classic myeloproliferative neoplasms lacking the Philadelphia chromosome are stem cell disorders characterized by the proliferation of myeloid cells in the bone marrow and increased counts of peripheral blood cells. The occurrence of thrombotic events is a common complication in myeloproliferative neoplasms. The heightened levels of cytokines play a substantial role in the morbidity and mortality of these patients, establishing a persistent proinflammatory condition that culminates in thrombosis. The etiology of thrombosis remains intricate and multifaceted, involving blood cells and endothelial dysfunction, the inflammatory state, and the coagulation cascade, leading to hypercoagulability. Leukocytes play a pivotal role in the thromboinflammatory process of myeloproliferative neoplasms by releasing various proinflammatory and prothrombotic factors as well as interacting with other cells, which contributes to the amplification of the clotting cascade and subsequent thrombosis. The correlation between increased leukocyte counts and thrombotic risk has been established. However, there is a need for an accurate biomarker to assess leukocyte activation. Lastly, tailored treatments to address the thrombotic risk in myeloproliferative neoplasms are needed. Therefore, this review aims to summarize the potential mechanisms of leukocyte involvement in myeloproliferative neoplasm thromboinflammation, propose potential biomarkers for leukocyte activation, and discuss promising treatment options for controlling myeloproliferative neoplasm thromboinflammation.

Machine learning-based identification of a consensus immune-derived gene signature to improve head and neck squamous cell carcinoma therapy and outcome

Background

Head and neck squamous cell carcinoma (HNSCC), an extremely aggressive tumor, is often associated with poor outcomes. The standard anatomy-based tumor-node-metastasis staging system does not satisfy the requirements for screening treatment-sensitive patients. Thus, an ideal biomarker leading to precise screening and treatment of HNSCC is urgently needed.

Methods

Ten machine learning algorithms-Lasso, Ridge, stepwise Cox, CoxBoost, elastic network (Enet), partial least squares regression for Cox (plsRcox), random survival forest (RSF), generalized boosted regression modelling (GBM), supervised principal components (SuperPC), and survival support vector machine (survival-SVM)-as well as 85 algorithm combinations were applied to construct and identify a consensus immune-derived gene signature (CIDGS).

Results

Based on the expression profiles of three cohorts comprising 719 patients with HNSCC, we identified 236 consensus prognostic genes, which were then filtered into a CIDGS, using the 10 machine learning algorithms and 85 algorithm combinations. The results of a study involving a training cohort, two testing cohorts, and a meta-cohort consistently demonstrated that CIDGS was capable of accurately predicting prognoses for HNSCC. Incorporation of several core clinical features and 51 previously reported signatures, enhanced the predictive capacity of the CIDGS to a level which was markedly superior to that of other signatures. Notably, patients with low CIDGS displayed fewer genomic alterations and higher immune cell infiltrate levels, as well as increased sensitivity to immunotherapy and other therapeutic agents, in addition to receiving better prognoses. The survival times of HNSCC patients with high CIDGS, in particular, were shorter. Moreover, CIDGS enabled accurate stratification of the response to immunotherapy and prognoses for bladder cancer. Niclosamide and ruxolitinib showed potential as therapeutic agents in HNSCC patients with high CIDGS.

Conclusion

CIDGS may be used for stratifying risks as well as for predicting the outcome of patients with HNSCC in a clinical setting.

Neutrophil-to-lymphocyte ratio and all-cause mortality with and without myeloproliferative neoplasms-a Danish longitudinal study

The neutrophil-to-lymphocyte ratio(NLR) is increased in chronic inflammation and myeloproliferative neoplasms (MPN). We hypothesize that NLR is associated with all-cause mortality and mortality by comorbidity burden in the general population and individuals with MPN. We included 835,430 individuals from The Danish General Suburban Population Study, general practitioners, and outpatient clinics. We investigated NLR on mortality stratified by prevalent and incident MPN, essential thrombocythemia (ET), polycythemia vera (PV), myelofibrosis (MF), comorbidity burden (CCI-score), and the Triple-A risk score using hazard ratio (HR) and 95% confidence interval (95%CI). NLR 1-1.9 was the reference level. During a median follow-up of 11.2 years, 197,802 deaths were recorded. All-cause mortality increased for a stepwise increasing NLR with a HR (95%CI) for NLR ≥ 6 of 2.06(2.03-2.09) for the whole population and 2.93(2.44-3.50) in prevalent MPN. ET, PV, and MF had a HR (95%CI) for NLR ≥ 2 of 2.14(1.71-2.69), 2.19(1.89-2.54), and 2.31(1.91-2.80). Results were similar for incident MPN. Mortality was higher for stepwise increasing NLR and CCI-score(pinteraction < 2×10-16), with a HR for NLR ≥ 6 of 2.23(2.17-2.29), 4.10(4.01-4.20), and 7.69(7.50-7.89), for CCI-score 0, 1-2, or ≥3. The Triple-A risk score demonstrated alignment with NLR. Increasing NLR and comorbidity burden were associated with lower survival in individuals without MPN but were even worse in prevalent and incident MPN, ET, PV, and MF.

Real-Time Micromotor Probe for Immune Neutrophil Activation State

Neutrophil activation is a hallmark of the immune response. Approaches to identify neutrophil activation in real time are necessary but are still lacking. In this study, magnetic Spirulina micromotors are used as label-free probes that exhibit differences in motility under different neutrophil activation states. This is correlated with different secretions into the extracellular environment by activated/non-activated cells and local environmental viscoelasticity. The micromotor platform can bypass non-activated immune cells while being stopped by activated cells. Thus, the micromotors can serve as label-free biomechanical probes of the immune cell state. They can detect the activation state of target immune cells in real time and with single-cell precision, which provides new ideas for the diagnosis and treatment of diseases while deepening understanding of the biomechanics of activated immune cells.