ArticleJournal of cancer research and clinical oncology2024
Osteosarcoma neutrophil extracellular trap network-associated gene recurrence and metastasis model.
Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 8 citations in OpenAlex.
- Development and validation of a biopsy-based model using tumor-associated neutrophils to predict neoadjuvant chemotherapy response in osteosarcoma: a large single-center retrospective cohort study.Journal of bone oncology · 2026Article
- A comprehensive analysis of ferroptosis-related metastasis genes in osteosarcoma.Discover oncology · 2026Article
- Macrophage plasticity in the osteosarcoma tumor microenvironment: opportunities and challenges for immunotherapy.Journal of cancer research and clinical oncology · 2026Review
- Metabolic-immune crosstalk in osteosarcoma: mechanisms and therapeutic opportunities.Frontiers in immunology · 2026Review
- Construction and validation of a multimodal MRI-based quantitative feature prediction model for the prognosis of non-metastatic primary osteosarcoma.Frontiers in oncology · 2026Article
- Using β-Elemene to reduce stemness and drug resistance in osteosarcoma: A focus on the AKT/FOXO1 signaling pathway and immune modulation.Journal of bone oncology · 2025Article
- NETs-related genes predict prognosis and are correlated with the immune microenvironment in osteosarcoma.Frontiers in oncology · 2025Article
- Osteosarcoma immune microenvironment: cellular struggle and novel therapeutic insights.Frontiers in immunology · 2025Review
- Neutrophil elastase promotes low molecular weight cyclin E1 formation to accelerate osteosarcoma proliferation.Frontiers in immunology · 2025Article
- Identification of the shared gene signatures in retinoblastoma and osteosarcoma by machine learning.Scientific reports · 2024Article
- Advances on immunotherapy for osteosarcoma.Molecular cancer · 2024Review
- Development and Validation of Diagnostic Models for Transcriptomic Signature Genes for Multiple Tissues in Osteoarthritis.Journal of inflammation research · 2024Article
- The role of neutrophils in osteosarcoma: insights from laboratory to clinic.Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteosarcoma (OS) is the most common malignancy in children and adolescents and has a high probability of recurrence and metastasis. A growing number of studies have shown that neutrophil extracellular traps (NETs) are strongly associated with cancer metastasis, but in osteosarcoma, genes associated with NETs that promote osteosarcoma recurrence and metastasis remain to be explored. We systematically investigated the gene expression patterns of NETs in OS samples from the GEO database. NETs molecular typing was evaluated based on NETs expression profiles, and the association between NETs molecular subtypes and immune microenvironment and metastatic features were explored. Ultimately, we constructed a signature model and column line graph associated with metastasis prediction and screened possible potential drugs for metastatic osteosarcoma. We established two different molecular subtypes of NETs, which showed significant differences in metastatic status, metastasis time, tumor immune microenvironment, and biological effects. We also constructed a NETs-related gene metastasis signature(NRGMS) to assess the expression pattern of NETs in patients to predict metastatic recurrence in osteosarcoma patients. We screened for TOMM40 and FH associated with metastatic recurrence in osteosarcoma patients. Overall, this study constructs a predictive model for osteosarcoma metastasis of NETs-related genes, which is expected to provide new insights into the metastasis of osteosarcoma.
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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.