ArticleHeliyon2024
Neutrophil extracellular trap genes predict immunotherapy response in gastric cancer.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Neutrophil Extracellular Traps Predict Prognosis and Neoadjuvant Immunotherapy Response in Gastric Cancer.Journal of inflammation research · 2026Article
- From biomarker to clinical utility: translating the advanced lung cancer inflammation index into a machine learning-driven risk stratification tool for colorectal cancer.Journal of translational medicine · 2025Article
- The heterogeneous roles of neutrophils in gastric cancer: scaffold or target?Cellular & molecular biology letters · 2025Review
- The crucial role of neutrophil extracellular traps and IL-17 signaling in indomethacin-induced gastric injury in mice.Scientific reports · 2025Article
- Shielding the Gut: Ghrelin and Ferrostatin-1's Protective Role Against Sepsis-Induced Intestinal Ferroptosis.Biomedicines · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Neutrophil extracellular trap (NET) is associated with host response, tumorigenesis, and immune dysfunction. However, the link between NET and the tumor microenvironment (TME) of gastric cancer (GC) remains unclear. Our study aims to characterize the expression patterns of NET-related genes and their relationships with clinicopathological characteristics, prognosis, TME features, and immunotherapy efficacy in GC cohorts. Methods: Transcriptomic and single-cell RNA sequencing profiles of GC with annotated clinicopathological data were obtained from TCGA-STAD (n = 415), GSE62254 (n = 300), GSE15459 (n = 192), and GSE183904 (n = 26). The consensus cluster algorithm was used to classify tumor samples into different NET-related clusters. A NET-related signature was constructed using LASSO regression and verified in four immunotherapy cohorts. ROC and Kaplan-Meier analyses were conducted to evaluate the predictive and prognostic value of the model for immunotherapy efficacy. Results: This study identified two NET-related clusters with distinct clinicopathological features, prognosis, and TME landscapes. The high NET-related cluster, characterized by increased NET-related gene expression, exhibited more aggressive behavior and a worse prognosis (HR = 1.63, Conclusions: This study identified the NET-related signature as a robust model for predicting immunotherapy response in GC, which can help clinicians make appropriate immunotherapy decisions.
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Registered trials
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