The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen.

IF 12.5 1区 医学 Q1 ONCOLOGY Cancer research Pub Date : 2024-03-04 DOI:10.1158/0008-5472.CAN-23-2093
Tathiane M Malta, Thais S Sabedot, Natalia S Morosini, Indrani Datta, Luciano Garofano, Wies Vallentgoed, Frederick S Varn, Kenneth Aldape, Fulvio D'Angelo, Spyridon Bakas, Jill S Barnholtz-Sloan, Hui K Gan, Mohammad Hasanain, Ann-Christin Hau, Kevin C Johnson, Simona Cazacu, Ana C deCarvalho, Mustafa Khasraw, Emre Kocakavuk, Mathilde C M Kouwenhoven, Simona Migliozzi, Simone P Niclou, Johanna M Niers, D Ryan Ormond, Sun Ha Paek, Guido Reifenberger, Peter A Sillevis Smitt, Marion Smits, Lucy F Stead, Martin J van den Bent, Erwin G Van Meir, Annemiek Walenkamp, Tobias Weiss, Michael Weller, Bart A Westerman, Bauke Ylstra, Pieter Wesseling, Anna Lasorella, Pim J French, Laila M Poisson, Roel G W Verhaak, Antonio Iavarone, Houtan Noushmehr
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Abstract

Tumor adaptation or selection is thought to underlie therapy resistance in glioma. To investigate longitudinal epigenetic evolution of gliomas in response to therapeutic pressure, we performed an epigenomic analysis of 132 matched initial and recurrent tumors from patients with IDH-wildtype (IDHwt) and IDH-mutant (IDHmut) glioma. IDHwt gliomas showed a stable epigenome over time with relatively low levels of global methylation. The epigenome of IDHmut gliomas showed initial high levels of genome-wide DNA methylation that was progressively reduced to levels similar to those of IDHwt tumors. Integration of epigenomics, gene expression, and functional genomics identified HOXD13 as a master regulator of IDHmut astrocytoma evolution. Furthermore, relapse of IDHmut tumors was accompanied by histologic progression that was associated with survival, as validated in an independent cohort. Finally, the initial cell composition of the tumor microenvironment varied between IDHwt and IDHmut tumors and changed differentially following treatment, suggesting increased neoangiogenesis and T-cell infiltration upon treatment of IDHmut gliomas. This study provides one of the largest cohorts of paired longitudinal glioma samples with epigenomic, transcriptomic, and genomic profiling and suggests that treatment of IDHmut glioma is associated with epigenomic evolution toward an IDHwt-like phenotype.

Significance: Standard treatments are related to loss of DNA methylation in IDHmut glioma, resulting in epigenetic activation of genes associated with tumor progression and alterations in the microenvironment that resemble treatment-naïve IDHwt glioma.

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胶质瘤的表观遗传学演变取决于 IDH1 突变状态和治疗方案。
肿瘤适应或选择被认为是胶质瘤耐药性的基础。为了研究胶质瘤在治疗压力下的纵向表观遗传学演变,我们对132例IDH野生型(IDHwt)和IDH突变型(IDHmut)胶质瘤患者的初发和复发肿瘤进行了表观遗传学分析。随着时间的推移,IDHwt胶质瘤显示出稳定的表观基因组,全局甲基化水平相对较低。IDHmut胶质瘤的表观基因组显示出最初高水平的全基因组DNA甲基化,后来逐渐降低到与IDHwt肿瘤相似的水平。表观基因组学、基因表达和功能基因组学的整合确定了HOXD13是IDHmut星形细胞瘤进化的主调控因子。此外,经独立队列验证,IDHmut肿瘤的复发伴随着组织学进展,而组织学进展与生存相关。最后,肿瘤微环境的初始细胞组成在IDHwt和IDHmut肿瘤之间存在差异,并在治疗后发生不同变化,这表明IDHmut胶质瘤在治疗后新血管生成和T细胞浸润增加。这项研究提供了最大的成对纵向胶质瘤样本群之一,并进行了表观基因组、转录组和基因组图谱分析,表明IDHmut胶质瘤的治疗与表观基因组向IDHwt样表型演变有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer research
Cancer research 医学-肿瘤学
CiteScore
16.10
自引率
0.90%
发文量
7677
审稿时长
2.5 months
期刊介绍: Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research. With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445. Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.
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