Predictive potential of five genes of cuproptosis for survival in LGG

Low-grade glioma (LGG) is a common primary tumor in the central nervous system. The function of several types of cell death has been proved in tumorigenesis of low-grade glioma (LGG). Cuproptosis , a new form of cell death, has been defined in recent years. We put forward the function between cuproptosis and LGG for the first time. According to TCGA datasets, we performed a univariate Cox regression analysis and got 5 hub risk genes related to the survival of LGG. Then, we constructed a prognostic risk mode by using LASSO method and demonstrated that risk score is independent prognostic risk factor by using univariate and multivariate Cox regression analyses . The above results were verified in CGGA datasets. Next, we compared the immune characteristics by using CIBERSORT, ssGSEA and demonstrated that 5 hub genes play an important role in tumor immunotherapy. Finally, we performed GO term and KEGG pathway analyses and found 5 hub genes are likely to change the biological functions of LGG by regulating the metabolism related components. We believe that our results will provide a new strategy for tumor treatment.

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Publication Details

Journal
Precision medication.
Published
2025-12-01
DOI
https://doi.org/10.1016/j.prmedi.2025.100061
Primary Topic
Ferroptosis and cancer prognosis
Type
article
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article

Predictive potential of five genes of cuproptosis for survival in LGG

Rong Guo, Shuanli Xin, Xiaopeng Li, Tao Zhou et al.
Precision medication.
Ferroptosis and cancer prognosis
article

Predictive potential of five genes of cuproptosis for survival in LGG

Rong Guo, Shuanli Xin, Xiaopeng Li, Tao Zhou, Chunyan Zhu, Y. Xia, Qian Zhang
article en

Abstract

Low-grade glioma (LGG) is a common primary tumor in the central nervous system. The function of several types of cell death has been proved in tumorigenesis of low-grade glioma (LGG). Cuproptosis , a new form of cell death, has been defined in recent years. We put forward the function between cuproptosis and LGG for the first time. According to TCGA datasets, we performed a univariate Cox regression analysis and got 5 hub risk genes related to the survival of LGG. Then, we constructed a prognostic risk mode by using LASSO method and demonstrated that risk score is independent prognostic risk factor by using univariate and multivariate Cox regression analyses . The above results were verified in CGGA datasets. Next, we compared the immune characteristics by using CIBERSORT, ssGSEA and demonstrated that 5 hub genes play an important role in tumor immunotherapy. Finally, we performed GO term and KEGG pathway analyses and found 5 hub genes are likely to change the biological functions of LGG by regulating the metabolism related components. We believe that our results will provide a new strategy for tumor treatment.

Precision medication.Vol. 2(4)
Hebei University of Engineering (CN), Handan College (CN), Handa City Hospital (JP)
Openalex Percentile: Top 43%
Ferroptosis and cancer prognosis
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