Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes.
Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes.
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DOI:
10.1038/s41591-018-0016-8
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发表时间:
2018-05
期刊:
影响因子:
82.9
通讯作者:
Shipp MA
中科院分区:
文献类型:
--
作者:
Chapuy B;Stewart C;Dunford AJ;Kim J;Kamburov A;Redd RA;Lawrence MS;Roemer MGM;Li AJ;Ziepert M;Staiger AM;Wala JA;Ducar MD;Leshchiner I;Rheinbay E;Taylor-Weiner A;Coughlin CA;Hess JM;Pedamallu CS;Livitz D;Rosebrock D;Rosenberg M;Tracy AA;Horn H;van Hummelen P;Feldman AL;Link BK;Novak AJ;Cerhan JR;Habermann TM;Siebert R;Rosenwald A;Thorner AR;Meyerson ML;Golub TR;Beroukhim R;Wulf GG;Ott G;Rodig SJ;Monti S;Neuberg DS;Loeffler M;Pfreundschuh M;Trümper L;Getz G;Shipp MA
Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is a clinically and genetically heterogeneous disease that is further classified into transcriptionally defined activated B-cell (ABC) and germinal center B-cell (GCB) subtypes. We carried out a a comprehensive genetic analysis of 304 primary DLBCLs that identifies low-frequency alterations, captured recurrent mutations, somatic copy number alterations (SCNAs) and structural variants (SVs), and defined coordinate signatures in patients with available outcome data. We integrated these genetic drivers using consensus clustering and identified five robust DLBCL subsets, including a previously unrecognized group of low-risk ABC-DLBCLs of extrafollicular/marginal zone origin; two distinct subsets of GCB-DLBCLs with different outcomes and targetable alterations; and an ABC/GCB-independent group with biallelic inactivation of TP53, CDKN2A loss and associated genomic instability. The genetic features of the newly characterized subsets, their mutational signatures and the temporal ordering of identified alterations provide new insights into DLBCL pathogenesis. The coordinate genetic signatures also predict outcome independent of the clinical International Prognostic Index and suggest new combination treatment strategies. More broadly, our results provide a roadmap for an actionable DLBCL classification.
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影响因子:
64.5
作者:
Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network
影响因子:
10.1
作者:
Dierlamm, Judith;Penas, Eva M. Murga;Siebert, Reiner
通讯作者:
Siebert, Reiner
影响因子:
50.3
作者:
Chen L;Monti S;Juszczynski P;Ouyang J;Chapuy B;Neuberg D;Doench JG;Bogusz AM;Habermann TM;Dogan A;Witzig TE;Kutok JL;Rodig SJ;Golub T;Shipp MA
通讯作者:
Shipp MA
影响因子:
20.3
作者:
Green, Michael R.;Monti, Stefano;Shipp, Margaret A.
通讯作者:
Shipp, Margaret A.
影响因子:
64.5
作者:
Boice M;Salloum D;Mourcin F;Sanghvi V;Amin R;Oricchio E;Jiang M;Mottok A;Denis-Lagache N;Ciriello G;Tam W;Teruya-Feldstein J;de Stanchina E;Chan WC;Malek SN;Ennishi D;Brentjens RJ;Gascoyne RD;Cogné M;Tarte K;Wendel HG
通讯作者:
Wendel HG