Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma.
Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma.
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DOI:
10.1038/ng.2856
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发表时间:
2014-02
期刊:
影响因子:
30.8
通讯作者:
Fitzgibbon, Jude
中科院分区:
文献类型:
--
作者:
Okosun, Jessica;Boedoer, Csaba;Wang, Jun;Araf, Shamzah;Yang, Cheng-Yuan;Pan, Chenyi;Boller, Soeren;Cittaro, Davide;Bozek, Monika;Iqbal, Sameena;Matthews, Janet;Wrench, David;Marzec, Jacek;Tawana, Kiran;Popov, Nikolay;O'Riain, Ciaran;O'Shea, Derville;Carlotti, Emanuela;Davies, Andrew;Lawrie, Charles H.;Matolcsy, Andras;Calaminici, Maria;Norton, Andrew;Byers, Richard J.;Mein, Charles;Stupka, Elia;Lister, T. Andrew;Lenz, Georg;Montoto, Silvia;Gribben, John G.;Fan, Yuhong;Grosschedl, Rudolf;Chelala, Claude;Fitzgibbon, Jude
Follicular lymphoma (FL) is an incurable malignancy, with transformation to an aggressive subtype being a critical event during disease progression. Here we performed whole genome or exome sequencing on 10 FL-transformed FL pairs, followed by deep sequencing of 28 genes in an extension cohort and report the key events and evolutionary processes governing initiation and transformation. Tumor evolution occurred through either a ‘rich’ or ‘sparse’ ancestral common progenitor clone (CPC). We identified recurrent mutations in linker histones, JAK-STAT signaling, NF-κB signaling and B-cell development genes. Longitudinal analyses revealed chromatin regulators (CREBBP, EZH2 and MLL2) as early driver genes, whilst mutations in EBF1 and regulators of NF-κB signaling (MYD88 and TNFAIP3) were gained at transformation. Collectively, this study provides novel insights into the genetic basis of follicular lymphoma, the clonal dynamics of transformation and suggests that personalizing therapies to target key genetic alterations within the CPC represents an attractive therapeutic strategy.
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影响因子:
48
作者:
Langmead, Ben;Salzberg, Steven L.
通讯作者:
Salzberg, Steven L.
影响因子:
20.3
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Harvey, Richard C.;Mullighan, Charles G.;Willman, Cheryl L.
通讯作者:
Willman, Cheryl L.
影响因子:
11.4
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Baus, D.;Nonnenmacher, F.;Pfitzner, E.
通讯作者:
Pfitzner, E.
影响因子:
30.8
作者:
通讯作者:
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影响因子:
56.9
作者:
Lenz, Georg;Davis, R. Eric;Staudt, Louis M.
通讯作者:
Staudt, Louis M.