ArticleBioMed research international2021
Establishment of an Autophagy-Related Clinical Prognosis Model for Predicting the Overall Survival of Osteosarcoma.
Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Construction and validation of a prognostic signature using WGCNA-identified key genes in osteosarcoma for treatment evaluation.Translational cancer research · 2025Article
- Characterization of novel anoikis-related genes as prognostic biomarkers and key determinants of the immune microenvironment in esophageal cancer.Frontiers in immunology · 2025Article
- Develop a Novel Signature to Predict the Survival and Affect the Immune Microenvironment of Osteosarcoma Patients: Anoikis-Related Genes.Journal of immunology research · 2024Article
- Identification of TNFRSF1A as a potential biomarker for osteosarcoma.Cancer biomarkers : section A of Disease markers · 2024Article
- Novel pyroptosis-related lncRNAs and ceRNAs predict osteosarcoma prognosis and indicate immune microenvironment signatures.Heliyon · 2023Article
- Ferroptosis-related lncRNAs guiding osteosarcoma prognosis and immune microenvironment.Journal of orthopaedic surgery and research · 2023Article
- RNA adenosine modifications related to prognosis and immune infiltration in osteosarcoma.Journal of translational medicine · 2022Article
- Identification and Development of an Age-Related Classification and Signature to Predict Prognosis and Immune Landscape in Osteosarcoma.Journal of oncology · 2022Article
- A novel signature to guide osteosarcoma prognosis and immune microenvironment: Cuproptosis-related lncRNA.Frontiers in immunology · 2022Article
- Unfolded Protein Response-Related Signature Associates With the Immune Microenvironment and Prognostic Prediction in Osteosarcoma.Frontiers in genetics · 2022Article
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13 authors.
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Abstract
purposeOsteosarcoma is the most common primary and highly invasive bone tumor in children and adolescents. The purpose of this study is to construct a multi-gene expression feature related to autophagy, which can be used to predict the prognosis of patients with osteosarcoma.
resultsOur study eventually included 85 patients. Survival analysis showed that patients with low riskScore had better OS. In addition, 16 genes were included in OS-related ARGs. We also generate a prognosis signature based on two OS-related ARGs. The signature can significantly divide patients into low-risk groups and high-risk groups, and has been verified in the data set of GEO. Subsequently, the riskScore, primary tumor site and metastasis status were identified as independent prognostic factors for OS and a nomogram were generated. The C-index of nomogram is 0.789 (95% CI: 0.703~0.875), ROC curve and calibration chart shows that nomogram has a good consistency between prediction and observation of patients.
conclusionsARGs was related to the prognosis of osteosarcoma and can be used as a biomarker of prognosis in patients with osteosarcoma. Nomogram can be used to predict OS of patients and improve treatment strategies.
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