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Identifying Predictive Gene Expression and Signature Related to Temozolomide Sensitivity of Glioblastomas
Hong-Qing Cai1, Ang-Si Liu1, Min-Jie Zhang2
1Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Frontiers in Oncology
|June 13, 2020
Summary
This study identifies genes and pathways influencing glioblastoma (GBM) response to temozolomide (TMZ). A novel gene signature accurately predicts patient prognosis and may guide adjuvant therapy for GBM.
Area of Science:
- Oncology
- Genomics
- Chemotherapy
Background:
- Temozolomide (TMZ) is a standard chemotherapy for glioblastoma (GBM).
- Understanding molecular mechanisms of TMZ sensitivity is crucial for treatment selection and prognosis in GBM patients.
Purpose of the Study:
- To identify genes and biological pathways associated with TMZ sensitivity in GBM.
- To develop a predictive gene signature for GBM patient prognosis and response to TMZ therapy.
Main Methods:
- Analysis of 34 glioma cell lines with TMZ IC50 values and RNA-seq data.
- Utilized random survival forests to identify key genes and construct a prognostic signature.
- Validated the signature using The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) datasets.
Main Results:
- Identified 1,373 genes related to TMZ response; identified epithelial-mesenchymal transition, Wnt signaling, and immune response in resistant cells.
- Discovered negative regulation of telomere maintenance via telomerase in sensitive cells, with preliminary evidence of synergistic effects with telomerase inhibitors.
- Developed a six-gene signature strongly correlating with GBM clinical characteristics and demonstrating superior prognostic accuracy compared to MGMT promoter methylation.
Conclusions:
- The developed gene signature accurately predicts glioblastoma patient survival and response to temozolomide chemotherapy.
- Identified potential therapeutic targets and provides guidance for adjuvant therapy strategies in GBM.
- A clinical nomogram integrating the signature and risk factors aids in personalized survival prediction for GBM patients undergoing TMZ treatment.

