Signatures of tumor microenvironment-related genes and long noncoding RNAs predict poor prognosis in osteosarcoma
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View abstract on PubMed
Summary
This summary is machine-generated.Tumor microenvironment-related genes (TMIEGs) and long noncoding RNAs (TMIELs) can predict survival in osteosarcoma patients. These biomarkers offer potential for new therapeutic strategies in this aggressive bone cancer.
Area Of Science
- Oncology
- Molecular Biology
- Bioinformatics
Background
- Osteosarcoma is an aggressive bone cancer with poor patient outcomes, particularly in young individuals.
- The tumor microenvironment plays a critical role in cancer progression and patient prognosis.
Purpose Of The Study
- To identify prognostic tumor microenvironment-related genes (TMIEGs) and long noncoding RNAs (TMIELs) in osteosarcoma.
- To evaluate the potential of these identified genes and RNAs as biomarkers for patient survival.
Main Methods
- Analysis of osteosarcoma and GTEx muscle datasets to calculate stromal and immune scores.
- Differential gene expression analysis to identify prognostic TMIEGs and TMIELs.
- Prognostic signature validation using Kaplan-Meier curves, ROC analysis, and Cox regression.
Main Results
- Three prognostic TMIELs (AC090559.1, LINC01549, SENCR) and three TMIEGs (DOK2, RHBDL2, NPW) were identified.
- High-risk osteosarcoma patients exhibited poorer survival outcomes.
- Prognostic signatures demonstrated effectiveness in predicting overall survival.
Conclusions
- Identified TMIEGs and TMIELs serve as reliable predictors of survival in osteosarcoma patients.
- These biomarkers hold potential for therapeutic applications and warrant further investigation.
- Immune processes within the tumor microenvironment may influence osteosarcoma risk.
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