Table 2 Human clinical trials—observational and anti-NET interventional
From: Neutrophil extracellular traps in homeostasis and disease
Disease | Primary Outcome | Clinical significance | Reference |
---|---|---|---|
Human Observational Trials | |||
VTE in Cancer | VTE prediction in cancer patients | Elevated CitH3 associated with 13% RR increase of VTE. Elevated cfDNA associated with higher risk of VTE during first 3-6 months | Mauracher et al.76 |
VTE | VTE incidence D-dimer correlated risk model | Higher CitH3 and NE associated with VTE. Adding to D-dimer based risk model did not improve AUC | Smith et al.692 |
Pulmonary Embolism | CitH3 | High endogenous thrombin potential, elevated CitH3, prolonged clot lysis time associated with 8x risk of PE-related death Enhanced NET formation associated with higher early mortality risk | Zabczyk et al.693 |
STEMI with PCI | Cardiac endpoints | CitH3 independent predictor of endpoint (MI, stroke, stent thrombosis, cardiovascular related death) [HR 3.74, p = 0.042] | Ferre-Vallverdu et al.694 |
Cardiac arrest | Predictive value for 28-day all-cause mortality | Serum cfDNA, citH3, MPO, NE higher in all arrest patients, and significantly higher in nonsurvivor group. cfDNA, CitH3, nucelosomes on first day after ROSC independent predictors of primary outcome | Li et al.628 |
Retinal vein occlusion | Biomarker and disease incidence | Plasma cfDNA, MPO-DNA, citH3 increased in RVO cases. Associated with thrombus formation | Wan et al.695 |
ACS/acute ischemic stroke | ACS/AIS Risk | dsDNA concentrations higher in ACS/AIS ACS risk – TnI, dsDNA concentration AIS – dsDNA concentration | Lim et al.508 |
Acute Liver Failure | Transplant-specific survival | cfDNA 7.1Ă— higher in ALF MPO-DNA 2.5Ă— higher in ALF cfDNA higher in severe disease MPO-DNA 30% higher in ALF patients who died or required urgent transplant Positive tissue NETs in 12/18 patient specimens | Meijenfeldt et al.334 |
AMI | 1-year MACE | Platelet + soluble p-selecting + all NET markers strongest predictor of 1-year MACE [OR 1.94, 95%CI 1.16-3.25] | Hally et al.696 |
Ulcerative Colitis | Disease prognosis prediction | PAD4 expression associated with increasing histopathologic grade (p = 0.001), anatomical disease extent (p = 0.038), lack of therapeutic response (p = 0.046), subjection to radical surgery (p = 0.046) | El Hafez et al.697 |
Antiphospholipid syndrome | Association with thrombosis | Higher levels of circulating MPO-DNA and PAD4 expression. Higher expression in patients with recurrent thrombosis than incident or control (43.8% higher MPO-DNA, 2x higher RNA expression) | Mazetto et al.698 |
Diabetic Foot Ulcer (DFU) | Amputation probability | Serum NET levels higher in DFU group. NET amputation probability [HR 0.19, p < 0.01] | Ibrahim et al.699 |
DFU | Impaired wound healing | NET specific markers higher in DFU patients than in without. Tissue elastase increased in wounds with infections and delayed healing. Significantly lower healing rates and higher amputation rates in highest quartile of CitH3 | Yang et al.651 |
Lupus Nephritis | Complete remission Progression to renal impairment at 24 months | Higher NET remnants in SLE Higher NET levels with active lupus nephritis compared to SLE without nephritis (Elastase p = 0.03, HMGB1-DNA p = 002) Higher NET remants in proliferative nephritis (Elastase p < 0.0001, HMGB1-DNA p = 0.0003) Higher NETs with reduced odds of complete remission [Elastase OR 2.34, p = 0.0007, HMGB1 OR 2.61, p = 0.006 Higher NETs with increased risk of progression to severe renal impairment (Elastase OR 2.84 p = 0.006, HMGB1 OR 2.04, p = 0.02) | Whittall-Garcia et al.700 |
COVID-19 | Biomarker for prognostication | NET markers elevated in COVID-19 Associated with respiratory support requirement and short-term mortality Correlated with WBC, inflammatory cytokines, CRP, and markers of coagulation/fibrinolysis Contribute to immunothrombosis | Ng et al.701 |
Streptococcal Bacteremia | Cardiovascular morbidity and mortality | Higher MPO-DNA in bacteremic Higher MPO-DNA in abscess prone Strep groups (p = 0.02) Combined WBC counts + MPO-DNA to predict all cause 30d mortality with commensal strep BSI—lowest among patients with neither high MPO-DNA nor abnormal WBC (p = 0.058) This group has favorable composite outcome of MACE and all-cause mortality (p = 0.026) | Kuo et al.702 |
COVID-19 | Association with MIS-C and CLL (Chilblain-like lesions) | Decreased NET degradation No NET elevation with asymptomatic infection Decreased NET levels with Omicron infection compared to other strains | Carmona-Rivera et al.703 |
Pleural Effusion | Diagnosis and prognostication | Highest NET marker concentration with parapneumonic effusion CitH3 (R = 0.66) and eDNA (R = 0.73) correlated with LDH (p < 0.001) | Twaddell et al.704 |
Deep surgical site infection | NET index predicting DSSI occurrence after laparotomy | Higher NET formation index (NFI) in DSSI group (p < 0.01) NFI positively correlated with APACHE II (R = 0.269, p < 0.01) and SOFA score (R = 0.258, p = 0.013) Higher risk of DSSI with NFI score NFI AUC 0.912 compared to CRP (0.748) and PCT (0.731) | Duan et al.705 |
Locally Advanced Rectal Cancer | Prognosis and predictive response to Neoadjuvant Therapy (RFS, CR, NCR) | High tissue NET density predicted poor post-operative survival NETs independent prognostic factor for RFS Low NET-density LARC had increased CD8 infiltration High NET density associated with EMT. High NET density associated with reduced likelihood of complete/near complete response | Zhong et al.635 |
Colon Adenocarcinoma | Predicting Response to Immunotherapy | NET risk score upregulated in patient samples Levels correlated with tumor clinicopathological and immune traits MPO linked to malignancy and poor clinical outcome. | Feng et al.706 |
Breast Cancer | Survival prognosis, treatment response | NET-related lncRNA risk scores Low risk groups had improved OS High risk groups enriched in immune-related functions and higher TMB Response to chemo/immunotherapy related with expression of NET related lncRNA (p < 0.001) | Jiang et al.707 |
High-grade serous ovarian cancer (HGSOC) | Biomarker role in disease diagnosis and management | Higher concentration of cfDNA, citH3, and calprotectin in plasma and peritoneal fluid. Neoadjuvant treatment reduced NET biomarkers in plasma, less so in peritoneal fluid | Tomas-Perez et al.708 |
Gastric Cancer | Prediction for immune cell infiltration | Low NET score linked to higher MSI-H, mutation load, immune activity. CSC index and chemotherapeutic treatment sensitivity connected to NET score. | Li et al.709 |
Gastric Cancer | OS Prediction and TME Identification | OS longer in low-risk group (p = 0.005) Differences in immune infiltration across groups. NE DNA independent factor affecting OS prognosis (P = 0.006) | Qu et al.612 |
Glioblastoma Multiforme | 1-3 year OS prediction | NET signature to form risk groups High risk group more sensitive to treatment biclutamide, gefitinib, dasatinib Low risk group poor response to immunotherapy | Sun et al.710 |
Pancreatic neuroendocrine tumor | Prediction of post-operative recurrence | Positive expression of tumor NETs with worse RFS (p < 0.05) Independent prognostic factor for RFS (p < 0.05) | Xu et al.107 |
Non-small cell lung cancer | OS prediction | 12-NETs lncRNA signature to develop risk score High risk group with significantly shorter OS (p < 0.0001) Risk score is independent predictive factor of OS [HR > 1, p < 0.001] NSCLC cell lines have higher levels of three adverse prognostic NET related lncRNA than normal lung cells | Fang et al.711 |
Head and Neck Squamous Cell Carcinoma | Prediction of 3 and 5 year clinical outcomes and immunotherapy response | 6 NET-related genes to construct high vs low risk model Higher OS in low risk (p < 0.001) Higher TMB in high-risk model (p = 0.017) TMB positively correlated with risk score (R = 0.11, p = 0.019) Immune therapy more beneficial for low-risk patients (p < 0.001) Response to anticancer drugs closely correlated with expression of NET related genes (p < 0.001) | Chen et al.610 |
Gastric Adenocarcinoma | Diagnostic and prognostic predictive value | NET markers had better diagnostic value than CEA, CA19-9 High level of NETs correlated with lymph node metastases Blood NET markers inversely correlated with short-term efficacy of first-line treatment Negative HER2 status associated with higher baseline NETs and worse PFS | Zhang et al.611 |
Breast Cancer | Association with clinical stages | Higher levels of NE-DNA complexes in regional and distant stages compared to local disease NETs increase in proportion to disease stage | Rivera-Franco et al.712 |
Head and Neck squamous cell carcinoma | NET-related gene signature prognostic score | Seven NET-related genes to create score signature Score highly correlated with clinicopathologic and immune traits NIFK upregulated in HNSCC pateint samples NIFK required for HNSCC cell proliferation and metastasis | Li et al.713 |
Pancreatectomy | Surgically induced NET formation | CfDNA and CitH3 elevated after pancreatic resection Increased NET-inducing cytokines post-op Reduced NETs with robotic approach Increased NETs in with pancreatic leak | Ivey et al.714 |
Generalized malignancy | Peripheral blood biomarker in diagnosis and disease progression | CitH3 and cfDNA distinguishes healthy control and tumor CitH3/cfDNA increased with clinical stage Correlation between cfDNA and systemic inflammation related parameters in tumor patients Did not predict VTE in short-term | Wang et al.715 |
Clear cell renal cell carcinoma | NET pathway association with clinicopathologic features, prognosis, prediction of therapeutic benefit | NET clusters A – metabolic pathways, better survival outcome Cluster C – immune pathways, higher immune score, poorer prognosis Higher NET scores associated with immune cell infiltration, targeted drug response, immunotherapy benefits | Teng et al.716 |
Clear cell renal cell carcinoma | Validation of molecular subtype and survival prognosis | Six NET-related gene signature Good performance in predicting OS of ccRCC Signature significantly correlated with pTMN, immune infiltration, TMB, microsatellite instability, drug sensitivity | Quan et al.717 |
Breast Cancer | Prediction/prognosis and immunotherapy response | Risk signature model High risk score associated with poor immunotherapy response and adverse clinical outcomes | Zhao et al.718 |
AIS/AMI | NET composition and association with clinical outcome | NETs present in all patients with AIS, and 20.8% patients with AMI. Abundance of NET in thrombi associated with poor outcome score in AIS, and reduced EF in AMI | Novotny et al.719 |
Esophageal Cancer | OS | Leukocytosis associated with decreased OS and DFS. Leukocytosis resulted in higher intratumoral NET infiltration (p < 0.001) Higher levels of NET infiltration associated with worse OS and DFS (p < 0.001) | Zhang et al.720 |
Coronary Artery Disease | Adverse clinical outcomes (unstable angina, stroke, MI, death) | NET markers weakly intercorrelated (R = 0.103, p < 0.001) Highest quartiles of dsDNA had weakly but significantly elevated hypercoagulability markers (p < 0.001) Higher dsDNA in groups experiencing clinical endpoint (p 0.019) Upper 3 quartiles of NETS had OR 2.01 for endpoint (p 0.019) | Langseth et al.362 |
Community-Acquired Pneumonia | Primary – time to clinical stability Secondary length of stay, mortality | Serum NETs associated with 3.8× increased OR of 30-day mortality Elevated serum NETs associated with higher risk for clinical instability, prolonged length of stay and 30-day mortality | Ebrahimi et al.721 |
Appendicitis | Prediction of incidence and outcome | CfDNA (AUC 0.87) and CtiH3 (AUC 0.88) demonstrated excellent predictive power for appendicitis CitH3 able to distinguish noncomplicated from complicated appendicitis and predict patient outcomes, compared to WBC and CRP | Boettcher et al.627 |
Primar hepatic malignancy | RFS and OS | High pre-surgery serum NET associated with shorter RFS/OS RFS: HCC - HR 2.9, CC – HR 3.22 High CitH3 level also predicted shorter RFS/OS | Kaltenmeier et al.608 |
Pancreatic Ductal Adenocarcinoma | PFS, Disease-specific survival | Positive NET expression exhibited poorer PFS and DSS NET formation is independent prognostic predictor of DSS PDAC with negative NET staining more likely to benefit from ACT | Chen et al.722 |
Surgery | NET formation between mild and severe surgical trauma | Decreased NETosis after severe surgical trauma Suggesting inducibility of NETs after surgical trauma may be compromised | Huang et al.723 |
Age | NET production and activity | Greater NET production in elderly (>65) than adult (20-50) adults. NETs produced in elderly reduced bactericidal capacity. Higher NET size in elderly (size of extruded DNA threads) | Sabbatini et al.724 |
Exercise (HIIT) | NET production | Baseline induction of NETosis greater in older men (p < 0.05) HIIT reduced induction of NETosis in older men | Vidal-Seguel et al.725 |
Human Interventional Trials | |||
COVID-19 ARDS | Dornase alfa/MPO-DNA complex | Reduced BALF MPO DNA Improved PF ratio Improved static lung compliance In short term | Holliday et al.340 |
COVID-19 | RhDNase-1 with nanoparticulate | Reduced cfDNA | Lee et al.630 |
COVID-19 | RhDNase | Decreased NETs in sputum Associated wtih recovery and improved oxygenation | Fisher et al.726 |
Pancreatic cancer | Lidocaine/Circulating NETs | No improvement is OS or DFS | Zhang et al.633 |
Pre-diabetes | Metformin/Net components elastase, proteinase-3, histones, dsDNA | Reduced NET components (elastase, proteinase-3, histones, dsDNA). Better than with other glycemic agents | Menegazzo et al.727 |
Breast cancer | IV lidocaine/MPO, CitH3, VEGF | Decreased post-op expression of NETosis | Galos et al.632 |
ARF after Trauma | Inhaled Dornase Alfa | Enrolling Incidence of moderate to severe ARDS in ventilated trauma patients in ICU | NCT03368092 |
ACS after PCI | Colchicine | Suppresses NET formation by storing cytoskeletal dynamics | Vaidya et al.728 |
Breast Cancer | Tamoxifen/Serum NETs, drug resistance, cancer metastasis, comorbidities | Currently enrolling | NCT05056857 |
Lung cancer | Perioperative lidocaine/dexmedetomidine | Reduced serum MPO Reduced MMP-3 | Ren et al.729 |