Integrated genomic analyses of cutaneous T-cell lymphomas reveal the molecular bases for disease heterogeneity.
Journal
Blood
ISSN: 1528-0020
Titre abrégé: Blood
Pays: United States
ID NLM: 7603509
Informations de publication
Date de publication:
07 10 2021
07 10 2021
Historique:
received:
22
10
2020
accepted:
20
05
2021
pubmed:
12
6
2021
medline:
15
12
2021
entrez:
11
6
2021
Statut:
ppublish
Résumé
Cutaneous T-cell lymphomas (CTCLs) are a clinically heterogeneous collection of lymphomas of the skin-homing T cell. To identify molecular drivers of disease phenotypes, we assembled representative samples of CTCLs from patients with diverse disease subtypes and stages. Via DNA/RNA-sequencing, immunophenotyping, and ex vivo functional assays, we identified the landscape of putative driver genes, elucidated genetic relationships between CTCLs across disease stages, and inferred molecular subtypes in patients with stage-matched leukemic disease. Collectively, our analysis identified 86 putative driver genes, including 19 genes not previously implicated in this disease. Two mutations have never been described in any cancer. Functionally, multiple mutations augment T-cell receptor-dependent proliferation, highlighting the importance of this pathway in lymphomagenesis. To identify putative genetic causes of disease heterogeneity, we examined the distribution of driver genes across clinical cohorts. There are broad similarities across disease stages. Many driver genes are shared by mycosis fungoides (MF) and Sezary syndrome (SS). However, there are significantly more structural variants in leukemic disease, leading to highly recurrent deletions of putative tumor suppressors that are uncommon in early-stage skin-centered MF. For example, TP53 is deleted in 7% and 87% of MF and SS, respectively. In both human and mouse samples, PD1 mutations drive aggressive behavior. PD1 wild-type lymphomas show features of T-cell exhaustion. PD1 deletions are sufficient to reverse the exhaustion phenotype, promote a FOXM1-driven transcriptional signature, and predict significantly worse survival. Collectively, our findings clarify CTCL genetics and provide novel insights into pathways that drive diverse disease phenotypes.
Identifiants
pubmed: 34115827
pii: S0006-4971(21)01226-X
doi: 10.1182/blood.2020009655
pmc: PMC8499046
doi:
Substances chimiques
Forkhead Box Protein M1
0
TP53 protein, human
0
Tumor Suppressor Protein p53
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1225-1236Subventions
Organisme : NCI NIH HHS
ID : F30 CA265107
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA009560
Pays : United States
Organisme : Doris Duke Charitable Foundation
ID : 2019092
Pays : United States
Organisme : NIAID NIH HHS
ID : DP2 AI136599
Pays : United States
Organisme : NIAMS NIH HHS
ID : P30 AR075049
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2021 by The American Society of Hematology.
Références
Cancer Cell. 2018 Apr 9;33(4):547-562
pubmed: 29634943
Bioinformatics. 2010 Oct 1;26(19):2438-44
pubmed: 20709693
Cell. 2018 Dec 13;175(7):1958-1971.e15
pubmed: 30449619
Nat Commun. 2020 Apr 14;11(1):1806
pubmed: 32286303
Blood. 2017 Sep 21;130(12):1430-1440
pubmed: 28694326
Blood. 2019 Jun 27;133(26):2776-2789
pubmed: 31101622
Nat Genet. 2015 Dec;47(12):1465-70
pubmed: 26551667
BMC Bioinformatics. 2013 Jan 16;14:7
pubmed: 23323831
Blood. 2010 Aug 5;116(5):767-71
pubmed: 20484084
Nat Immunol. 2016 Jul;17(7):851-860
pubmed: 27158840
Blood. 2014 Mar 27;123(13):2034-43
pubmed: 24497536
Proc Natl Acad Sci U S A. 2015 Apr 28;112(17):5473-8
pubmed: 25827230
Sci Rep. 2021 Feb 17;11(1):3962
pubmed: 33597573
PLoS Pathog. 2015 Oct 20;11(10):e1005177
pubmed: 26485519
Sci Immunol. 2019 Jul 5;4(37):
pubmed: 31278120
J Exp Med. 2001 Dec 17;194(12):1711-9
pubmed: 11748273
Blood Adv. 2019 Feb 26;3(4):519-530
pubmed: 30770361
Annu Rev Immunol. 2019 Apr 26;37:457-495
pubmed: 30676822
Genome Biol. 2011;12(4):R41
pubmed: 21527027
Nature. 2014 Jan 23;505(7484):495-501
pubmed: 24390350
Cancer Cell. 2017 Jul 10;32(1):27-41.e4
pubmed: 28625481
Nature. 2017 Feb 1;542(7639):110-114
pubmed: 28150777
Nature. 2017 Dec 7;552(7683):121-125
pubmed: 29143824
G Ital Dermatol Venereol. 2012 Dec;147(6):523-31
pubmed: 23149698
J Clin Oncol. 2010 Nov 1;28(31):4730-9
pubmed: 20855822
N Engl J Med. 2015 Nov 12;373(20):1926-36
pubmed: 26559571
Genome Biol. 2010;11(10):R106
pubmed: 20979621
Nat Genet. 2015 Dec;47(12):1426-34
pubmed: 26551670
Cancer Immunol Res. 2018 Aug;6(8):900-909
pubmed: 29895574
Cell. 2015 Jul 2;162(1):184-97
pubmed: 26095251
J Exp Med. 2010 May 10;207(5):1031-44
pubmed: 20439541
Nat Rev Cancer. 2007 Nov;7(11):847-59
pubmed: 17943136
Trends Immunol. 2019 May;40(5):403-414
pubmed: 30979616
Mod Pathol. 2013 Jan;26(1):32-43
pubmed: 22918164
Sci Transl Med. 2018 May 9;10(440):
pubmed: 29743350
Nat Genet. 2015 Sep;47(9):1011-9
pubmed: 26192916
Blood. 2005 May 15;105(10):3768-85
pubmed: 15692063
Blood. 2014 May 8;123(19):2915-23
pubmed: 24632715
Nat Rev Cancer. 2020 Apr;20(4):218-232
pubmed: 32024970
Curr Treat Options Oncol. 2016 Jul;17(7):33
pubmed: 27262707
Nat Immunol. 2019 Aug;20(8):1059-1070
pubmed: 31308541
Nat Genet. 2015 Sep;47(9):1056-60
pubmed: 26258847
Am J Clin Pathol. 2011 Dec;136(6):944-53
pubmed: 22095381
Nat Genet. 2015 Nov;47(11):1304-15
pubmed: 26437031