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Clinical management and survival outcomes of patients withdifferent molecular subtypes of diffuse gliomas in China(2011–2017):a multicenter retrospective study from CGGA 被引量:5

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摘要 Objective:We aimed to summarize the clinicopathological characteristics and prognostic features of various molecular subtypes of diffuse gliomas(DGs)in the Chinese population.Methods:In total,1,418 patients diagnosed with DG between 2011 and 2017 were classified into 5 molecular subtypes according to the 2016 WHO classification of central nervous system tumors.The IDH mutation status was determined by immunohistochemistry and/or DNA sequencing,and 1p/19q codeletion was detected with fluorescence in situ hybridization.The median clinical follow-up time was 1,076 days.T-tests and chi-square tests were used to compare clinicopathological characteristics.Kaplan‒Meier and Cox regression methods were used to evaluate prognostic factors.Results:Our cohort included 15.5%lower-grade gliomas,IDH-mutant and 1p/19q-codeleted(LGG-IDHm-1p/19q);18.1%lowergrade gliomas,IDH-mutant(LGG-IDHm);13.1%lower-grade gliomas,IDH-wildtype(LGG-IDHwt);36.1%glioblastoma,IDHwildtype(GBM-IDHwt);and 17.2%glioblastoma,IDH-mutant(GBM-IDHm).Approximately 63.3%of the enrolled primary gliomas,and the median overall survival times for LGG-IDHm,LGG-IDHwt,GBM-IDHwt,and GBM-IDHm subtypes were 75.97,34.47,11.57,and 15.17 months,respectively.The 5-year survival rate of LGG-IDHm-1p/19q was 76.54%.We observed a significant association between high resection rate and favorable survival outcomes across all subtypes of primary tumors.We also observed a significant role of chemotherapy in prolonging overall survival for GBM-IDHwt and GBM-IDHm,and in prolonging post-relapse survival for the 2 recurrent GBM subtypes.Conclusions:By controlling for molecular subtypes,we found that resection rate and chemotherapy were 2 prognostic factors associated with survival outcomes in a Chinese cohort with DG.
出处 《Cancer Biology & Medicine》 SCIE CAS CSCD 2022年第10期1460-1476,共17页 癌症生物学与医学(英文版)
基金 supported by grants from the National Natural Science Foundation of China(Grant Nos.81903078,82002647,82103623,and 81761168038) the RGC(Grant Nos.26102719 and 16101021) the ITC(Grant Nos.MHP/004/19 and ITCPD/17-9) the Beijing Nova Program(Grant No.Z201100006820118) MOST(Grant No.2019YFE0109400).
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