Identification of inflammation-related genes signature to establish a prognostic model in MGMT unmethylated glioblastoma patients

In conclusion, we created a new prognostic model including 9 inflammation-related genes. This model has produced meaningful results in evaluating patient prognosis, which may help with future therapeutic strategies for patients with uMGMT GBM.

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Publication Details

Journal
Discover Oncology
Published
2025-02-11
DOI
https://doi.org/10.1007/s12672-025-01894-9
Citations
1
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.63
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article

Identification of inflammation-related genes signature to establish a prognostic model in MGMT unmethylated glioblastoma patients

Dandan Fan, Yingyu Yan, Shen-Chuan Wang, Zhenyu Zhao et al.
1 citations
Discover Oncology
Glioma Diagnosis and Treatment
1.63
article

Identification of inflammation-related genes signature to establish a prognostic model in MGMT unmethylated glioblastoma patients

Dandan Fan, Yingyu Yan, Shen-Chuan Wang, Zhenyu Zhao, Yunzhao Mo, Weimin Wang
article en
1 citations

Abstract

In conclusion, we created a new prognostic model including 9 inflammation-related genes. This model has produced meaningful results in evaluating patient prognosis, which may help with future therapeutic strategies for patients with uMGMT GBM.

Discover OncologyVol. 16(1)
Third Affiliated Hospital of Southern Medical University (CN), General Hospital of Guangzhou Military Command (CN)
Good health and well-being
Openalex Percentile: Top 20%
Glioma Diagnosis and Treatment
1.63
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