Genome‐wide DNA methylation analysis identifies potent CpG signature for temzolomide response in non‐G‐CIMP glioblastomas with unmethylated MGMT promoter: MGMT‐dependent roles of GPR81

Author:

Liang Bao‐Bao1,Wang Yu‐Hong2,Huang Jing‐Jing3,Lin Shuai1,Mao Guo‐Chao1,Zhou Zhang‐Jian1,Yan Wan‐Jun1,Shan Chang‐You1,Wu Hui‐Zi1,Etcheverry Amandine4,He Ya‐Long5,Liu Fang‐Fang6,Kang Hua‐Feng1,Yin An‐An78ORCID,Zhang Shu‐Qun1

Affiliation:

1. Department of Oncology The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an Shaanxi China

2. The Emergency Department The Seventh Medical Center of Chinese PLA General Hospital Beijing China

3. Department of Pediatric Surgery The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an Shaanxi China

4. CNRS, UMR 6290, Institut de Génétique et Développement de Rennes (IGdR) Rennes France

5. Department of Neurosurgery, Xijing Hospital Air Force Medical University Xi'an China

6. Institute of Neurosciences, College of Basic Medicine Air Force Medical University Xi'an China

7. Department of Biochemistry and Molecular Biology Air Force Medical University Xi'an China

8. Department of Plastic and Reconstructive Surgery, Xijing Hospital Air Force Medical University Xi'an China

Abstract

AbstractPurposesTo identify potent DNA methylation candidates that could predict response to temozolomide (TMZ) in glioblastomas (GBMs) that do not have glioma‐CpGs island methylator phenotype (G‐CIMP) but have an unmethylated promoter of O‐6‐methylguanine‐DNA methyltransferase (unMGMT).MethodsThe discovery‐validation approach was planned incorporating a series of G‐CIMP−/unMGMT GBM cohorts with DNA methylation microarray data and clinical information, to construct multi‐CpG prediction models. Different bioinformatic and experimental analyses were performed for biological exploration.ResultsBy analyzing discovery sets with radiotherapy (RT) plus TMZ versus RT alone, we identified a panel of 64 TMZ efficacy‐related CpGs, from which a 10‐CpG risk signature was further constructed. Both the 64‐CpG panel and the 10‐CpG risk signature were validated showing significant correlations with overall survival of G‐CIMP−/unMGMT GBMs when treated with RT/TMZ, rather than RT alone. The 10‐CpG risk signature was further observed for aiding TMZ choice by distinguishing differential outcomes to RT/TMZ versus RT within each risk subgroup. Functional studies on GPR81, the gene harboring one of the 10 CpGs, indicated its distinct impacts on TMZ resistance in GBM cells, which may be dependent on the status of MGMT expression.ConclusionsThe 64 TMZ efficacy‐related CpGs and in particular the 10‐CpG risk signature may serve as promising predictive biomarker candidates for guiding optimal usage of TMZ in G‐CIMP−/unMGMT GBMs.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Natural Science Foundation of Shandong Province

Publisher

Wiley

Subject

Pharmacology (medical),Physiology (medical),Psychiatry and Mental health,Pharmacology

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