Neurological Institute (Edinger Institute), University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany.
German Cancer Consortium (DKTK) partner site Frankfurt/Mainz, Frankfurt, Germany.
Neuropathol Appl Neurobiol. 2021 Apr;47(3):379-393. doi: 10.1111/nan.12669. Epub 2020 Nov 7.
Changes in metabolism are known to contribute to tumour phenotypes. If and how metabolic alterations in brain tumours contribute to patient outcome is still poorly understood. Epigenetics impact metabolism and mitochondrial function. The aim of this study is a characterisation of metabolic features in molecular subgroups of isocitrate dehydrogenase mutant (IDHmut) and isocitrate dehydrogenase wildtype (IDHwt) gliomas.
We employed DNA methylation pattern analyses with a special focus on metabolic genes, large-scale metabolism panel immunohistochemistry (IHC), qPCR-based determination of mitochondrial DNA copy number and immune cell content using IHC and deconvolution of DNA methylation data. We analysed molecularly characterised gliomas (n = 57) for in depth DNA methylation, a cohort of primary and recurrent gliomas (n = 22) for mitochondrial copy number and validated these results in a large glioma cohort (n = 293). Finally, we investigated the potential of metabolic markers in Bevacizumab (Bev)-treated gliomas (n = 29).
DNA methylation patterns of metabolic genes successfully distinguished the molecular subtypes of IDHmut and IDHwt gliomas. Promoter methylation of lactate dehydrogenase A negatively correlated with protein expression and was associated with IDHmut gliomas. Mitochondrial DNA copy number was increased in IDHmut tumours and did not change in recurrent tumours. Hierarchical clustering based on metabolism panel IHC revealed distinct subclasses of IDHmut and IDHwt gliomas with an impact on patient outcome. Further quantification of these markers allowed for the prediction of survival under anti-angiogenic therapy.
A mitochondrial signature was associated with increased survival in all analyses, which could indicate tumour subgroups with specific metabolic vulnerabilities.
已知代谢变化有助于肿瘤表型。然而,脑肿瘤代谢改变如何影响患者预后仍知之甚少。表观遗传学影响代谢和线粒体功能。本研究旨在对异柠檬酸脱氢酶突变(IDHmut)和异柠檬酸脱氢酶野生型(IDHwt)脑胶质瘤的分子亚群的代谢特征进行分析。
我们采用 DNA 甲基化模式分析,特别关注代谢基因,进行大规模代谢面板免疫组化(IHC),使用 IHC 测定线粒体 DNA 拷贝数和免疫细胞含量,并对 DNA 甲基化数据进行去卷积,对分子特征明确的脑胶质瘤(n=57)进行深入的 DNA 甲基化分析,对原发性和复发性脑胶质瘤(n=22)进行线粒体拷贝数分析,并在一个大的脑胶质瘤队列(n=293)中验证这些结果。最后,我们研究了代谢标志物在贝伐单抗(Bev)治疗的脑胶质瘤(n=29)中的潜在作用。
代谢基因的 DNA 甲基化模式成功地区分了 IDHmut 和 IDHwt 脑胶质瘤的分子亚型。乳酸脱氢酶 A 的启动子甲基化与蛋白表达呈负相关,与 IDHmut 脑胶质瘤相关。IDHmut 肿瘤中线粒体 DNA 拷贝数增加,而复发性肿瘤中没有变化。基于代谢面板 IHC 的层次聚类揭示了 IDHmut 和 IDHwt 脑胶质瘤的不同亚类,对患者预后有影响。对这些标志物的进一步定量分析可以预测抗血管生成治疗的生存情况。
在所有分析中,与生存相关的线粒体特征均有所增加,这可能表明肿瘤亚群具有特定的代谢脆弱性。