ArticleCancer medicine2023
Identification of an EMT-related gene-based prognostic signature in osteosarcoma.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 11 citations in OpenAlex.
- UHRF2 related to sumoylation : assessment of its role in immune suppression and therapeutic potential in colorectal cancer.BMC cancer · 2026Article
- Unveiling the role of the extracellular matrix in the osteosarcoma tumor microenvironment through integrated transcriptomics and experimental validation.Cancer gene therapy · 2025Article
- Imipramine Inhibits Osteosarcoma Invasion via Src Inactivation and Caspase-Dependent Apoptosis.Journal of cellular and molecular medicine · 2025Article
- Prognostic Value of the G2 Expression Signature and MYC Overexpression in Childhood High-Grade Osteosarcoma.JCO precision oncology · 2025Article
- The Role of Epithelial-Mesenchymal Transition in Osteosarcoma Progression: From Biology to Therapy.Diagnostics (Basel, Switzerland) · 2025Review
- Identifying epithelial-mesenchymal transition-related genes as prognostic biomarkers and therapeutic targets of hepatocellular carcinoma by integrated analysis of single-cell and bulk-RNA sequencing data.Translational cancer research · 2024Article
- Unveiling the Protective Role of Melatonin in Osteosarcoma: Current Knowledge and Limitations.Biomolecules · 2024Review
- EMT-related gene classifications predict the prognosis, immune infiltration, and therapeutic response of osteosarcoma.Frontiers in pharmacology · 2024Article
- Decoding the Impact of Tumor Microenvironment in Osteosarcoma Progression and Metastasis.Cancers · 2023Review
- Lifetime Postnatal Exposure to Perfluoroalkyl Substance Mixture and DNA Methylation at Twelve Years of Age.Environmental science & technology letters · 2023Article
- Identification of an EMT-related gene-based prognostic signature in osteosarcoma.Cancer medicine · 2023Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe correlation between epithelial-mesenchymal transition (EMT) and osteosarcoma (OS) has been widely reported. Integration of the EMT-related genes to predict the prognosis is significant for investigating the mechanism of EMT in OS. Here, we aimed to construct a prognostic EMT-related gene signature for OS.
methodsTranscriptomic and survival data of OS patients were downloaded from Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO). We performed univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and stepwise multivariate Cox regression analysis to construct EMT-related gene signatures. Kaplan-Meier analysis and time-dependent receiver operating characteristic (ROC) were applied to evaluate its predictive performance. GSVA, ssGSEA, ESTIMATE, and scRNA-seq were performed to investigate the tumor microenvironment, and the correlation between IC50 of drugs and ERG score was investigated. Furthermore, Edu and transwell experiments were conducted to assess the malignancy of OS cells.
resultsWe constructed a novel EMT-related gene signature (including CDK3, MYC, UHRF2, STC2, COL5A2, MMD, and EHMT2) for outcome prediction of OS. According to the signature, patients stratified into high- and low-ERG-score groups exhibited significantly different prognoses. ROC curves and Kaplan-Meier analysis revealed a promising performance of the signature with external validation. GSVA, ssGSEA, ESTIMATE algorithm, and scRNA-seq excavated EMT-related pathways and suggested the correlation between ERG score and immune activation. Notably, the pivotal gene CDK3 was upregulated in OS tissue and positively related to OS cell proliferation and migration.
conclusionOur EMT-related gene signature might reference OS risk stratification and guide clinical strategies as an independent prognostic factor in OS.
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