The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space.
The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space.
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DOI:
10.1038/s41591-018-0156-x
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发表时间:
2018-10
期刊:
影响因子:
82.9
通讯作者:
Bock C
中科院分区:
文献类型:
--
作者:
Klughammer J;Kiesel B;Roetzer T;Fortelny N;Nemc A;Nenning KH;Furtner J;Sheffield NC;Datlinger P;Peter N;Nowosielski M;Augustin M;Mischkulnig M;Ströbel T;Alpar D;Ergüner B;Senekowitsch M;Moser P;Freyschlag CF;Kerschbaumer J;Thomé C;Grams AE;Stockhammer G;Kitzwoegerer M;Oberndorfer S;Marhold F;Weis S;Trenkler J;Buchroithner J;Pichler J;Haybaeck J;Krassnig S;Mahdy Ali K;von Campe G;Payer F;Sherif C;Preiser J;Hauser T;Winkler PA;Kleindienst W;Würtz F;Brandner-Kokalj T;Stultschnig M;Schweiger S;Dieckmann K;Preusser M;Langs G;Baumann B;Knosp E;Widhalm G;Marosi C;Hainfellner JA;Woehrer A;Bock C
Glioblastoma is characterized by widespread genetic and transcriptional heterogeneity, yet little is known about the role of the epigenome in glioblastoma disease progression. Here, we present genome-scale maps of DNA methylation in matched primary and recurring glioblastoma tumors, using data from a highly annotated clinical cohort that was selected through a national patient registry.. We demonstrate the feasibility of DNA methylation mapping in a large set of routinely collected formalin-fixed paraffin-embedded (FFPE) samples, and we validate bisulfite sequencing as a multi-purpose assay that allowed us to infer a range of different genetic, epigenetic, and transcriptional characteristics of the profiled tumor samples. Based on these data, we identified subtle differences between primary and recurring tumors, links between DNA methylation and the tumor microenvironment, and an association of epigenetic tumor heterogeneity with patient survival. In summary, this study establishes an open resource for dissecting DNA methylation heterogeneity in a genetically diverse and heterogeneous cancer, and it demonstrates the feasibility of integrating epigenomics, radiology, and digital pathology for a national cohort, thereby leveraging existing samples and data collected as part of routine clinical practice.
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影响因子:
64.8
作者:
Capper D;Jones DTW;Sill M;Hovestadt V;Schrimpf D;Sturm D;Koelsche C;Sahm F;Chavez L;Reuss DE;Kratz A;Wefers AK;Huang K;Pajtler KW;Schweizer L;Stichel D;Olar A;Engel NW;Lindenberg K;Harter PN;Braczynski AK;Plate KH;Dohmen H;Garvalov BK;Coras R;Hölsken A;Hewer E;Bewerunge-Hudler M;Schick M;Fischer R;Beschorner R;Schittenhelm J;Staszewski O;Wani K;Varlet P;Pages M;Temming P;Lohmann D;Selt F;Witt H;Milde T;Witt O;Aronica E;Giangaspero F;Rushing E;Scheurlen W;Geisenberger C;Rodriguez FJ;Becker A;Preusser M;Haberler C;Bjerkvig R;Cryan J;Farrell M;Deckert M;Hench J;Frank S;Serrano J;Kannan K;Tsirigos A;Brück W;Hofer S;Brehmer S;Seiz-Rosenhagen M;Hänggi D;Hans V;Rozsnoki S;Hansford JR;Kohlhof P;Kristensen BW;Lechner M;Lopes B;Mawrin C;Ketter R;Kulozik A;Khatib Z;Heppner F;Koch A;Jouvet A;Keohane C;Mühleisen H;Mueller W;Pohl U;Prinz M;Benner A;Zapatka M;Gottardo NG;Driever PH;Kramm CM;Müller HL;Rutkowski S;von Hoff K;Frühwald MC;Gnekow A;Fleischhack G;Tippelt S;Calaminus G;Monoranu CM;Perry A;Jones C;Jacques TS;Radlwimmer B;Gessi M;Pietsch T;Schramm J;Schackert G;Westphal M;Reifenberger G;Wesseling P;Weller M;Collins VP;Blümcke I;Bendszus M;Debus J;Huang A;Jabado N;Northcott PA;Paulus W;Gajjar A;Robinson GW;Taylor MD;Jaunmuktane Z;Ryzhova M;Platten M;Unterberg A;Wick W;Karajannis MA;Mittelbronn M;Acker T;Hartmann C;Aldape K;Schüller U;Buslei R;Lichter P;Kool M;Herold-Mende C;Ellison DW;Hasselblatt M;Snuderl M;Brandner S;Korshunov A;von Deimling A;Pfister SM
通讯作者:
Pfister SM
影响因子:
30.8
作者:
Hao, Jia-Jie;Lin, De-Chen;Dinh, Huy Q.;Mayakonda, Anand;Jiang, Yan-Yi;Chang, Chen;Jiang, Ye;Lu, Chen-Chen;Shi, Zhi-Zhou;Xu, Xin;Zhang, Yu;Cai, Yan;Wang, Jin-Wu;Zhan, Qi-Min;Wei, Wen-Qiang;Berrnan, Benjamin P.;Wang, Ming-Rong;Koeffler, H. Phillip
通讯作者:
Koeffler, H. Phillip
影响因子:
1.1
作者:
Bienkowski, Michal;Berghoff, Anna S.;Preusser, Matthias
通讯作者:
Preusser, Matthias
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
影响因子:
50.3
作者:
Kim, Jinkuk;Lee, In-Hee;Nam, Do-Hyun
通讯作者:
Nam, Do-Hyun