ArticleJournal of oncology2021
Machine-Learning-Based m5C Score for the Prognosis Diagnosis of Osteosarcoma.
Article in Journal of oncology, 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, 16 citations in OpenAlex.
- The mClinical epigenetics · 2026Article
- CYP27A1 suppresses brain metastasis via ferroptosis in lung adenocarcinoma: a six-gene signature predicting the immunotherapy response and clinical outcomes.Cancer cell international · 2025Article
- Epigenetic Modifications in Osteosarcoma: Mechanisms and Therapeutic Strategies.Life (Basel, Switzerland) · 2025Review
- Identification and validation of platinum resistance signature in gastric cancer.Cancer cell international · 2025Article
- m5CStack: An integrated framework for m5C site prediction using multi-feature stacking.Computational and structural biotechnology journal · 2025Article
- Regulators of RNA mFrontiers in endocrinology · 2025Article
- RNA 5-Methylcytosine regulators are associated with cell adhesion and predict prognosis of endometrial cancer.Translational cancer research · 2023Article
- Identification of a novel MYC target gene set signature for predicting the prognosis of osteosarcoma patients.Frontiers in oncology · 2023Article
- Prognosis and Novel Drug Targets for Key lncRNAs of Epigenetic Modification in Colorectal Cancer.Mediators of inflammation · 2023Article
- Comprehensive analysis of key m5C modification-related genes in type 2 diabetes.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOsteosarcoma is a common and highly metastatic malignant tumor, and m5C RNA methylation regulates various biological processes. The purpose of this study was to explore the prognostic role of m5C in osteosarcoma using machine learning.
methodsOsteosarcoma gene data and the corresponding clinical information were downloaded from the GEO database. Machine learning methods were used to screen m5C-related genes and construct m5C scores. In addition, the clusterProfiler package was used to predict the m5C-related functional pathways. xCell and CIBERSORT were used to calculate the immune microenvironment cells. GSVA was applied to analyze different categories of m5C genes, and the correlation between the GSVA and m5C scores was evaluated.
resultsTwenty m5C genes were identified, and 54 related genes were screened. The m5C score was constructed based on the PCA score. With an increase in the m5C score, the expression of m5C genes and their related genes changed. Functional analysis indicated that the focal adhesion, cell-substrate adherens junction, cell adhesion molecule binding, and E2F targets might change with the m5C score. The naive B cells and CD4
conclusionThe m5C score might be a prognostic index for osteosarcoma.
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Registered trials
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.