|  Help  |  About  |  Contact Us

Publication : Whole-genome landscape of adult T-cell leukemia/lymphoma.

First Author  Kogure Y Year  2022
Journal  Blood Volume  139
Issue  7 Pages  967-982
PubMed ID  34695199 Mgi Jnum  J:344043
Mgi Id  MGI:7260057 Doi  10.1182/blood.2021013568
Citation  Kogure Y, et al. (2022) Whole-genome landscape of adult T-cell leukemia/lymphoma. Blood 139(7):967-982
abstractText  Adult T-cell leukemia/lymphoma (ATL) is an aggressive neoplasm immunophenotypically resembling regulatory T cells, associated with human T-cell leukemia virus type-1. Here, we performed whole-genome sequencing (WGS) of 150 ATL cases to reveal the overarching landscape of genetic alterations in ATL. We discovered frequent (33%) loss-of-function alterations preferentially targeting the CIC long isoform, which were overlooked by previous exome-centric studies of various cancer types. Long but not short isoform-specific inactivation of Cic selectively increased CD4+CD25+Foxp3+ T cells in vivo. We also found recurrent (13%) 3'-truncations of REL, which induce transcriptional upregulation and generate gain-of-function proteins. More importantly, REL truncations are also common in diffuse large B-cell lymphoma, especially in germinal center B-cell-like subtype (12%). In the non-coding genome, we identified recurrent mutations in regulatory elements, particularly splice sites, of several driver genes. In addition, we characterized the different mutational processes operative in clustered hypermutation sites within and outside immunoglobulin/T-cell receptor genes and identified the mutational enrichment at the binding sites of host and viral transcription factors, suggesting their activities in ATL. By combining the analyses for coding and noncoding mutations, structural variations, and copy number alterations, we discovered 56 recurrently altered driver genes, including 11 novel ones. Finally, ATL cases were classified into 2 molecular groups with distinct clinical and genetic characteristics based on the driver alteration profile. Our findings not only help to improve diagnostic and therapeutic strategies in ATL, but also provide insights into T-cell biology and have implications for genome-wide cancer driver discovery.
Paste the following link
Quick Links:
SummaryExpressionOther
 
Quick Links:
SummaryExpressionOther
 
Lists
This Publication isn't in any lists. Upload a list.

Expression

Publication --> Expression annotations

 

Other

46 Authors

1 Bio Entities

0 Expression





MouseMine is a collaboration between MGI at The Jackson Laboratory and the InterMine project at the Cambridge Systems Biology Centre. MouseMine is funded through a grant from the NIH/NHGRI.The Jackson Laboratory makes no representation about the suitability or accuracy of this software or data for any purpose, and makes no warranties, either express or implied, including merchantability and fitness for a particular purpose or that the use of this software or data will not infringe any third party patents, copyrights, trademarks, or other rights. the software and data are provided "as is". This software and data are provided to enhance knowledge and encourage progress in the scientific community and are to be used only for research and educational purposes. Any reproduction or use for commercial purpose is prohibited without the prior express written permission of the Jackson Laboratory.

Copyright © 2017 by The Jackson Laboratory. All Rights Reserved

© 2002 - 2017 Department of Genetics, University of Cambridge, Downing Street,
Cambridge CB2 3EH, United Kingdom