Potent predictive CpG signature for temozolomide response in non-glioma-CpG island methylator phenotype glioblastomas with methylated MGMT promoter - Université de Rennes Accéder directement au contenu
Article Dans Une Revue Epigenomics Année : 2022

Potent predictive CpG signature for temozolomide response in non-glioma-CpG island methylator phenotype glioblastomas with methylated MGMT promoter

J Wang
Meng Zhang
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Yifeng Liu
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Yan Yao
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Bao-Qiang Song
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Chih-Wei Lin
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Anan Yin
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Ya-Long He

Résumé

Aim: We aimed to identify potent CpG signatures predicting temozolomide (TMZ) response in glioblastomas (GBMs) that do not have the glioma-CpG island methylator phenotype (G-CIMP) but have a methylated promoter of MGMT (meMGMT). Materials and methods: Different datasets of non-G-CIMP meMGMT GBMs with molecular and clinical data were analyzed. Results: A panel of 77 TMZ efficacy-related CpGs and a seven-CpG risk signature were identified and validated for distinguishing differential outcomes to radiotherapy plus TMZ versus radiotherapy alone in non-G-CIMP meMGMT GBMs. An integrated classification scheme was also proposed for refining a MGMT-based TMZ-guiding approach in all G-CIMP-GBMs. Conclusion: The CpG signatures may serve as promising predictive biomarker candidates for guiding optimal TMZ usage in non-G-CIMP meMGMT GBMs.
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Dates et versions

hal-03898822 , version 1 (14-12-2022)

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J Wang, Meng Zhang, Yifeng Liu, Yan Yao, Y Ji, et al.. Potent predictive CpG signature for temozolomide response in non-glioma-CpG island methylator phenotype glioblastomas with methylated MGMT promoter. Epigenomics, 2022, 14 (20), pp.1233-1247. ⟨10.2217/epi-2022-0344⟩. ⟨hal-03898822⟩
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