Transcriptional immunogenomic analysis reveals distinct immunological clusters in paediatric nervous system tumours.
Transcriptional immunogenomic analysis reveals distinct immunological clusters in paediatric nervous system tumours.
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DOI:
10.1186/s13073-023-01219-x
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发表时间:
2023-09-07
期刊:
影响因子:
12.3
通讯作者:
中科院分区:
文献类型:
--
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Cancer immunotherapies including immune checkpoint inhibitors and Chimeric Antigen Receptor (CAR) T-cell therapy have shown variable response rates in paediatric patients highlighting the need to establish robust biomarkers for patient selection. While the tumour microenvironment in adults has been widely studied to delineate determinants of immune response, the immune composition of paediatric solid tumours remains relatively uncharacterized calling for investigations to identify potential immune biomarkers. To inform immunotherapy approaches in paediatric cancers with embryonal origin, we performed an immunogenomic analysis of RNA-seq data from 925 treatment-naïve paediatric nervous system tumours (pedNST) spanning 12 cancer types from three publicly available data sets. Within pedNST, we uncovered four broad immune clusters: Paediatric Inflamed (10%), Myeloid Predominant (30%), Immune Neutral (43%) and Immune Desert (17%). We validated these clusters using immunohistochemistry, methylation immune inference and segmentation analysis of tissue images. We report shared biology of these immune clusters within and across cancer types, and characterization of specific immune cell frequencies as well as T- and B-cell repertoires. We found no associations between immune infiltration levels and tumour mutational burden, although molecular cancer entities were enriched within specific immune clusters. Given the heterogeneity of immune infiltration within pedNST, our findings suggest personalized immunogenomic profiling is needed to guide selection of immunotherapeutic strategies. The online version contains supplementary material available at 10.1186/s13073-023-01219-x.
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影响因子:
82.9
作者:
Das A;Sudhaman S;Morgenstern D;Coblentz A;Chung J;Stone SC;Alsafwani N;Liu ZA;Karsaneh OAA;Soleimani S;Ladany H;Chen D;Zatzman M;Cabric V;Nobre L;Bianchi V;Edwards M;Sambira Nahum LC;Ercan AB;Nabbi A;Constantini S;Dvir R;Yalon-Oren M;Campino GA;Caspi S;Larouche V;Reddy A;Osborn M;Mason G;Lindhorst S;Bronsema A;Magimairajan V;Opocher E;De Mola RL;Sabel M;Frojd C;Sumerauer D;Samuel D;Cole K;Chiaravalli S;Massimino M;Tomboc P;Ziegler DS;George B;Van Damme A;Hijiya N;Gass D;McGee RB;Mordechai O;Bowers DC;Laetsch TW;Lossos A;Blumenthal DT;Sarosiek T;Yen LY;Knipstein J;Bendel A;Hoffman LM;Luna-Fineman S;Zimmermann S;Scheers I;Nichols KE;Zapotocky M;Hansford JR;Maris JM;Dirks P;Taylor MD;Kulkarni AV;Shroff M;Tsang DS;Villani A;Xu W;Aronson M;Durno C;Shlien A;Malkin D;Getz G;Maruvka YE;Ohashi PS;Hawkins C;Pugh TJ;Bouffet E;Tabori U
通讯作者:
Tabori U
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:
通讯作者:
--
影响因子:
5.6
作者:
Carbone C;Piro G;Merz V;Simionato F;Santoro R;Zecchetto C;Tortora G;Melisi D
通讯作者:
Melisi D
影响因子:
7.2
作者:
Farhad M;Rolig AS;Redmond WL
通讯作者:
Redmond WL