Combinations of four or more CpGs methylation present equivalent predictive value for MGMT expression and temozolomide therapeutic prognosis in gliomas

四种或更多种 CpG 甲基化的组合对胶质瘤中的 MGMT 表达和替莫唑胺治疗预后具有同等的预测价值

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作者:Rui-Chao Chai, Ke-Nan Zhang, Yu-Qing Liu, Fan Wu, Zheng Zhao, Kuan-Yu Wang, Tao Jiang, Yong-Zhi Wang

Aims

The pyrosequencing (PSQ) has been regarded as the gold standard for MGMT promoter methylation testing in gliomas. However, various CpG combinations are currently used in clinical practice. We aimed to clarify how and how many CpGs combined is robust enough to predict MGMT mRNA expression and therapeutic prognosis of patients.

Conclusions

Four-CpG combinations of pyrosequencing are sufficient for evaluating the methylation status of MGMT and predicting therapeutic prognosis in gliomas.

Methods

Total 223 patients with WHO III/IV gliomas were enrolled from Chinese Glioma Genome Atlas, including two independent cohorts, the eight-site cohort (with CpGs 75-82 tested) and the seven-site cohort (with CpGs 72-78 tested). Spearman's correlation and ROC curves were employed to investigate the value of different CpG combinations on predicting MGMT mRNA expression. The ROC curves and Kaplan-Meier steps were performed to compare the TMZ therapeutic prognostic values of different CpG combinations.

Results

The methylation level of all individual CpG and CpG combinations for the eleven CpGs (CpGs 72-82), significantly correlated to MGMT mRNA expression (Spearman, all P < 0.0001), could effectively predict the mRNA expression (AUC, 0.86-0.91 in the eight-site cohort, 0.83-0.90 in the seven-site cohort). Moreover, the correlation coefficients and the predictive values presented equivalent when four or more CpGs combinedly used (AUC, 0.88-0.90 in the eight-site cohort, 0.87-0.88 in the seven-site cohort). Finally, similar results were also observed when using selected CpG combinations to predict therapeutic prognosis of patients. Conclusions: Four-CpG combinations of pyrosequencing are sufficient for evaluating the methylation status of MGMT and predicting therapeutic prognosis in gliomas.

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