ArticleAnalytical cellular pathology (Amsterdam)2022
A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma.
Article in Analytical cellular pathology (Amsterdam), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Veratramine influences the proliferation of human osteosarcoma cells through modulating the PI3K/AKT signaling cascade.Genes & diseases · 2026Article
- RNA-binding protein gene NOP58 exhibits crucial prognostic and therapeutic value in Ewing sarcoma.Hereditas · 2025Article
- A signature of four ferroptosis-related genes in laryngeal squamous cell carcinoma.Translational cancer research · 2024Article
- Harnessing ferroptosis for enhanced sarcoma treatment: mechanisms, progress and prospects.Experimental hematology & oncology · 2024Review
- AURKA inhibition induces Ewing's sarcoma apoptosis and ferroptosis through NPM1/YAP1 axis.Cell death & disease · 2024Article
- Drugging Hijacked Kinase Pathways in Pediatric Oncology: Opportunities and Current Scenario.Pharmaceutics · 2023Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
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Abstract
Ferroptosis, as a form of programmed cell death independent of apoptosis, has been demonstrated that plays a major role in tumorigenesis and cancer treatment. A comprehensive analysis of ferroptosis-related genes (FRGs) may lead to a novel choice for the treatment of Ewing sarcoma (ES). Here, 148 differentially expressed FRGs (DEFRGs) were identified between normal and ES tissue. And the GO and KEGG analyses of DEFRGs indicated that these genes were enriched in cancer and immune-related signaling pathways. Then, the GSE17679 cohort was randomly divided into train and test cohorts. Based on the train cohort, AURKA, RGS4, and RIPK1 were identified as key genes through the univariate Cox regression analysis, the random survival forest algorithm, and the multivariate Cox regression analysis and utilized to establish a prognostic FRG signature. The validation results demonstrated that the gene signature has not only excellent prediction performance and generalization ability but is also good at predicting the response of immunotherapy and chemotherapy. Subsequent analysis indicated that all 3 key genes play key roles in tumor immunity and prognosis of ES. Of these, AURKA was highly associated with EWSR1, which was verified by a single-cell dataset (GSE130019). Therefore, the 3 genes may be potential therapeutic targets for ES. At the end of this study, we also constructed an accurate nomogram that helps clinicians to assess the survival time of ES patients. In conclusion, our study constructed an excellent gene signature, which is helpful in improving the prognosis of ES patients.
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