Gene signatures of copper metabolism related genes may predict prognosis and immunity status in Ewing's sarcoma

Yongqin Chen ¹, Wencan Zhang ¹, Xiao Xu ²

⁰Department of Orthopedics, Qilu Hospital of Shandong University, Jinan, Shandong, China.

Frontiers in Oncology +

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July 25, 2024

View abstract on PubMed

Summary

Copper metabolism related genes (CMRGs) can predict prognosis and immune infiltration in Ewing

Area Of Science

Oncology
Molecular Biology
Genetics

Background

Cuproptosis is a form of copper-induced cell death.
Copper metabolism related genes (CMRGs) are implicated in tumor prognosis.
This study investigates the role of CMRGs in Ewing's sarcoma (ES) tumor microenvironment (TME) cell infiltration.

Purpose Of The Study

To identify prognostic biomarkers for Ewing's sarcoma.
To assess the relationship between CMRGs and immune infiltration in ES.
To explore potential therapeutic strategies for ES based on gene expression.

Main Methods

Utilized mRNA expression profiles and clinical data from GEO and ICGC databases.
Identified 22 prognostic-related CMRGs (PR-CMRGs) using univariate regression.
Employed Kaplan-Meier analysis, correlation analysis, functional enrichment, and Gene Set Variation Analysis (GSVA).
Classified ES samples into two clusters using unsupervised clustering.

Main Results

A five-gene risk signature (TFRC, SORD, SLC11A2, FKBP4, AANAT) was developed.
High-risk group exhibited significantly lower survival rates (p=6.013e-09).
The risk model demonstrated strong predictive accuracy (AUCs of 0.876, 0.883, 0.979 for 1, 3, 5 years) and was validated across multiple datasets.
A nomogram incorporating risk score and clinical features was developed and validated.
Significant differences in immune infiltration were observed between risk groups.
Drug sensitivity analysis identified potential therapeutic options for ES.

Conclusions

CMRGs are critical predictors of prognosis and immune status in Ewing's sarcoma.
The identified gene signature and nomogram can aid in clinical outcome prediction.
Findings suggest novel therapeutic avenues targeting copper metabolism in ES.

Keywords:

Ewing’s sarcoma clinical features copper metabolism related genes functional enrichment immune infiltration prognostic-related copper metabolism related genes risk model