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Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma
Published on: April 12, 2019
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Construction and Validation of a Potent Epigenetic Modification-Related Prognostic Signature for Osteosarcoma
Siyu Liu1, Bing Wu1, Xiaomin Li1
1Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.
Journal of Oncology
|December 2, 2021
Summary
This study identifies four epigenetic modification-related genes (MYC, TERT, EIF4E3, RBM34) that can predict osteosarcoma prognosis. This epigenetic model aids in improving diagnosis and treatment decisions for osteosarcoma patients.
Area of Science:
- Oncology
- Epigenetics
- Bioinformatics
Background:
- Tumorigenesis is linked to epigenetic alterations like DNA methylation and histone modification.
- The role of specific epigenetic genes in osteosarcoma incidence and prognosis remains unclear.
- Osteosarcoma diagnosis and prognosis may be improved by an epigenetic modification-related prognostic model.
Purpose of the Study:
- To investigate epigenetic modification-associated genes and their clinical significance in osteosarcoma.
- To develop a diagnostic and prognostic model for osteosarcoma using bioinformatics.
- To construct a nomogram for practical application of the prognostic model.
Main Methods:
- Utilized gene transcriptome data from TARGET and GEO databases.
- Employed bioinformatics techniques for functional investigation of genes.
- Constructed diagnostic and prognostic models via univariate and multivariate Cox regression.
- Developed a nomogram to assess the practicability of the prognostic model.
Main Results:
- A risk score model based on four epigenetic genes (MYC, TERT, EIF4E3, RBM34) effectively predicts osteosarcoma patient prognosis.
- The developed nomogram integrates risk score and clinical features for enhanced prognostic prediction.
- The identified genes serve as potential biomarkers for osteosarcoma.
Conclusions:
- Epigenetic modification-related genes are significant prognostic markers in osteosarcoma.
- These markers can aid in therapeutic decision-making for osteosarcoma.
- Further research into epigenetic modifications could enhance osteosarcoma treatment strategies.

