ArticleBMC cancer2020
A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcoma.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- The zinc finger protein560(ZNF560) functions as a novel oncogenic gene in osteosarcoma.Scientific reports · 2025Article
- miR-939, as an important regulator in various cancers pathogenesis, has diagnostic, prognostic, and therapeutic values: a review.Journal of the Egyptian National Cancer Institute · 2024Review
- Osteosarcoma Multi-Omics Landscape and Subtypes.Cancers · 2023Article
- Predicting metastasis at initial diagnosis and radiotherapy effectiveness in patients with metastatic osteosarcoma.Journal of cancer research and clinical oncology · 2023Article
- An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration.Cancer medicine · 2023Article
- Clinical-radiomics models based on plain X-rays for prediction of lung metastasis in patients with osteosarcoma.BMC medical imaging · 2023Article
- A New Signature of Sarcoma Based on the Tumor Microenvironment Benefits Prognostic Prediction.International journal of molecular sciences · 2023Article
- Necroptosis-Related LncRNA Signatures for Prognostic Prediction in Uterine Corpora Endometrial Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Single-cell RNA sequencing revealed subclonal heterogeneity and gene signatures of gemcitabine sensitivity in pancreatic cancer.Frontiers in pharmacology · 2023Article
- Polypeptide N-Acetylgalactosaminyltransferase 14 (GALNT14) as a Chemosensitivity-Related Biomarker for Osteosarcoma.Journal of oncology · 2023Article
- Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer.European journal of medical research · 2022Article
- A nomogram for predicting cancer-specific survival for elderly patients with gallbladder cancer.BMC gastroenterology · 2022Article
- Diabetic Retinopathy Detection from Fundus Images of the Eye Using Hybrid Deep Learning Features.Diagnostics (Basel, Switzerland) · 2022Article
- RNA adenosine modifications related to prognosis and immune infiltration in osteosarcoma.Journal of translational medicine · 2022Article
- A novel immune-related gene signature predicting survival in sarcoma patients.Molecular therapy oncolytics · 2022Article
- Risk stratification system and web-based nomogram constructed for predicting the overall survival of primary osteosarcoma patients after surgical resection.Frontiers in public health · 2022Article
- Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study.Journal of oncology · 2022Article
- Prognostic factors and survival outcome of primary pulmonary acinar cell carcinoma.Thoracic cancer · 2021Article
- Signature based on metabolic-related gene pairs can predict overall survival of osteosarcoma patients.Cancer medicine · 2021Article
- [Value of prediction models for prognosis prediction of colorectal cancer: an analysis based on TCPA database].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021Article
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2 authors.
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Abstract
backgroundThis study aims to identify a predictive model to predict survival outcomes of osteosarcoma (OS) patients.
methodsA RNA sequencing dataset (the training set) and a microarray dataset (the validation set) were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, respectively. Differentially expressed genes (DEGs) between metastatic and non-metastatic OS samples were identified in training set. Prognosis-related DEGs were screened and optimized by support vector machine (SVM) recursive feature elimination. A SVM classifier was built to classify metastatic and non-metastatic OS samples. Independent prognosic genes were extracted by multivariate regression analysis to build a risk score model followed by performance evaluation in two datasets by Kaplan-Meier (KM) analysis. Independent clinical prognostic indicators were identified followed by nomogram analysis. Finally, functional analyses of survival-related genes were conducted.
resultTotally, 345 DEGs and 45 prognosis-related genes were screened. A SVM classifier could distinguish metastatic and non-metastatic OS samples. An eight-gene signature was an independent prognostic marker and used for constructing a risk score model. The risk score model could separate OS samples into high and low risk groups in two datasets (training set: log-rank p < 0.01, C-index = 0.805; validation set: log-rank p < 0.01, C-index = 0.797). Tumor metastasis and RS model status were independent prognostic factors and nomogram model exhibited accurate survival prediction for OS. Additionally, functional analyses of survival-related genes indicated they were closely associated with immune responses and cytokine-cytokine receptor interaction pathway.
conclusionAn eight-gene predictive model and nomogram were developed to predict OS prognosis.
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