ArticleFrontiers in immunology2023
Noninvasive evaluation of neutrophil extracellular traps signature predicts clinical outcomes and immunotherapy response in hepatocellular carcinoma.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Performance of Artificial Intelligence Models in Predicting Responsiveness of Hepatocellular Carcinoma to Transarterial Chemoembolization (TACE): A Systematic Review and Meta-Analysis.Journal of the American College of Radiology : JACR · 2026Pooled it
- Neoadjuvant anlotinib/sintilimab plus chemotherapy in triple-negative breast cancer (NeoSACT): Phase 2 trial.Cell reports. Medicine · 2025Trial
- Neutrophil Extracellular Traps in the Tumor Microenvironment: Mechanisms, Immune Regulation, and Implications for Immune Checkpoint Inhibitor Therapy.International journal of molecular sciences · 2026Review
- The emerging role of neutrophil extracellular traps in liver diseases: a narrative review.Medical molecular morphology · 2026Review
- Comprehensive analysis of neutrophil extracellular traps-associated inflammatory genes for patients with idiopathic pulmonary fibrosis.Molecular genetics and genomics : MGG · 2026Article
- Spatiotemporal heterogeneity of neutrophil extracellular traps in hepatocellular carcinoma microenvironment and targeted therapy progress.Journal of translational medicine · 2026Review
- Clustering of quantitative CT features identifies HCC subtypes with distinct prognosis and immune signatures.European radiology experimental · 2026Article
- Neutrophil extracellular traps in the tumor microenvironment, metastasis, therapy, and beyond: advances, challenges, and perspectives.Journal of hematology & oncology · 2026Review
- NETosis Markers (ssDNA, dsDNA) as Predictors of Mortality and Hospitalization After Endovascular Aortic Repair.International journal of molecular sciences · 2026Article
- The Molecular Network of Neutrophil Extracellular Traps in Hepatocellular Carcinoma: Biogenesis, Function, and Therapeutic Implications.Molecules (Basel, Switzerland) · 2026Review
- Review
- Decoding Treatment Response in Hepatocellular Carcinoma: The Era of Radiomics and Radiogenomics.Journal of hepatocellular carcinoma · 2026Review
- Current applications of radiomics in the assessment of tumor microenvironment of hepatocellular carcinoma.Abdominal radiology (New York) · 2025Review
- Immune microenvironment in hepatocellular carcinoma: from pathogenesis to immunotherapy.Cellular & molecular immunology · 2025Review
- A novel neutrophil extracellular trap-related gene signature for predicting glioblastoma prognosis.Scientific reports · 2025Article
- Neutrophil extracellular traps predict sensitivity to neoadjuvant chemotherapy combined with immunotherapy in locally advanced gastric cancer.World journal of gastrointestinal oncology · 2025Article
- Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms.European journal of pediatrics · 2025Article
- A reliable prognostic model for hepatocellular carcinoma using neutrophil extracellular traps and immune related genes.Scientific reports · 2025Article
- Neutrophil extracellular traps in cancer: From mechanisms to treatments.Clinical and translational medicine · 2025Review
- Screening and Identification of Neutrophil Extracellular Trap-related Diagnostic Biomarkers for Pediatric Sepsis by Machine Learning.Inflammation · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Neutrophil extracellular traps (NETs) have been shown to play a pivotal role in promoting metastasis and immune escape in hepatocellular carcinoma (HCC). Therefore, noninvasive tests to detect the formation of NETs in tumors can have significant implications for the treatment and prognoses of patients. Here, we sought to develop and validate a computed tomography (CT)-based radiomics model to predict the gene expression profiles that regulate the formation of NETs in HCC. Methods: This study included 1133 HCC patients from five retrospective cohorts. Based on the mRNA expression levels of 69 biomarkers correlated with NET formation, a 6-gene score (NETs score, NETS) was constructed in cohort 1 from TCIA database (n=52) and validated in cohort 2 (n=232) from ICGC database and cohort 3 (n=365) from TCGA database. And then based on the radiomics features of CT images, a radiomics signature (RNETS) was developed in cohort 1 to predict NETS status (high- or low-NETS). We further employed two cohorts from Nanfang Hospital (Guangzhou, China) to evaluate the predictive power of RNETS in predicting prognosis in cohort 4 (n=347) and the responses to PD-1 inhibitor of HCC patients in cohort 5 (n=137). Results: For NETS, in cohort 1, the area under the curve (AUC) values predicting 1, 2, and 3-year overall survival (OS) were 0.836, 0.879, and 0.902, respectively. The low-NETS was associated with better survival and higher levels of immune cell infiltration. The RNETS yielded an AUC value of 0.853 in distinguishing between high-NETS or low-NETS and patients with low-RNETS were associated with significantly longer survival time in cohort 1 ( Conclusions: This study revealed that RNETS as a radiomics biomarker could effectively predict prognosis and immunotherapy response in HCC patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.