001     142962
005     20240229112537.0
024 7 _ |a 10.1038/s41375-018-0215-9
|2 doi
024 7 _ |a pmid:30038380
|2 pmid
024 7 _ |a 0887-6924
|2 ISSN
024 7 _ |a 1476-5551
|2 ISSN
024 7 _ |a altmetric:45829016
|2 altmetric
037 _ _ |a DKFZ-2019-00590
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Leeksma, Alexander C
|b 0
245 _ _ |a Clonal diversity predicts adverse outcome in chronic lymphocytic leukemia.
260 _ _ |a London
|c 2019
|b Springer Nature
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1681913342_17227
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Genomic analyses of chronic lymphocytic leukemia (CLL) identified somatic mutations and associations of clonal diversity with adverse outcomes. Clonal evolution likely has therapeutic implications but its dynamic is less well studied. We studied clonal composition and prognostic value of seven recurrently mutated driver genes using targeted next-generation sequencing in 643 CLL patients and found higher frequencies of mutations in TP53 (35 vs. 12%, p < 0.001) and SF3B1 (20 vs. 11%, p < 0.05) and increased number of (sub)clonal (p < 0.0001) mutations in treated patients. We next performed an in-depth evaluation of clonal evolution on untreated CLL patients (50 'progressors' and 17 matched 'non-progressors') using a 404 gene-sequencing panel and identified novel mutated genes such as AXIN1, SDHA, SUZ12, and FOXO3. Progressors carried more mutations at initial presentation (2.5 vs. 1, p < 0.0001). Mutations in specific genes were associated with increased (SF3B1, ATM, and FBXW7) or decreased progression risk (AXIN1 and MYD88). Mutations affecting specific signaling pathways, such as Notch and MAP kinase pathway were enriched in progressive relative to non-progressive patients. These data extend earlier findings that specific genomic alterations and diversity of subclones are associated with disease progression and persistence of disease in CLL and identify novel recurrently mutated genes and associated outcomes.
536 _ _ |a 312 - Functional and structural genomics (POF3-312)
|0 G:(DE-HGF)POF3-312
|c POF3-312
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Taylor, Justin
|0 0000-0003-4407-6325
|b 1
700 1 _ |a Wu, Bian
|0 P:(DE-He78)f385b8b832d53e921e7af2af3c625418
|b 2
|e First author
700 1 _ |a Gardner, Jeffrey R
|b 3
700 1 _ |a He, Jie
|b 4
700 1 _ |a Nahas, Michelle
|b 5
700 1 _ |a Gonen, Mithat
|b 6
700 1 _ |a Alemayehu, Wendimagegn G
|b 7
700 1 _ |a Te Raa, Doreen
|b 8
700 1 _ |a Walther, Tatjana
|0 P:(DE-He78)e8feda17d03b95bda3e8717e79dc07b8
|b 9
700 1 _ |a Hüllein, Jennifer
|0 P:(DE-He78)c9be4ab60d1090c3d315a2ca6905e9ea
|b 10
700 1 _ |a Dietrich, Sascha
|b 11
700 1 _ |a Claus, Rainer
|b 12
700 1 _ |a de Boer, Fransien
|b 13
700 1 _ |a de Heer, Koen
|b 14
700 1 _ |a Dubois, Julie
|b 15
700 1 _ |a Dampmann, Maria
|b 16
700 1 _ |a Dürig, Jan
|b 17
700 1 _ |a van Oers, Marinus H J
|b 18
700 1 _ |a Geisler, Christian H
|b 19
700 1 _ |a Eldering, Eric
|b 20
700 1 _ |a Levine, Ross L
|b 21
700 1 _ |a Miller, Vincent
|b 22
700 1 _ |a Mughal, Tariq
|b 23
700 1 _ |a Lamanna, Nicole
|b 24
700 1 _ |a Frattini, Mark G
|b 25
700 1 _ |a Heaney, Mark L
|b 26
700 1 _ |a Zelenetz, Andrew
|b 27
700 1 _ |a Zenz, Thorsten
|0 P:(DE-He78)f3d5f16b49eb47520def635be98d5576
|b 28
|e Last author
700 1 _ |a Abdel-Wahab, Omar
|b 29
700 1 _ |a Kater, Arnon P
|b 30
773 _ _ |a 10.1038/s41375-018-0215-9
|g Vol. 33, no. 2, p. 390 - 402
|0 PERI:(DE-600)2008023-2
|n 2
|p 390 - 402
|t Leukemia
|v 33
|y 2019
|x 1476-5551
909 C O |p VDB
|o oai:inrepo02.dkfz.de:142962
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)f385b8b832d53e921e7af2af3c625418
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 P:(DE-He78)e8feda17d03b95bda3e8717e79dc07b8
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)c9be4ab60d1090c3d315a2ca6905e9ea
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 28
|6 P:(DE-He78)f3d5f16b49eb47520def635be98d5576
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-312
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Functional and structural genomics
|x 0
914 1 _ |y 2019
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b LEUKEMIA : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b LEUKEMIA : 2017
920 1 _ |0 I:(DE-He78)G250-20160331
|k G250
|l Molekulare Therapie in der Hämatologie und Onkologie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)G250-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21