A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples
Carregando...
Citações na Scopus
198
Tipo de produção
article
Data de publicação
2018
Editora
CELL PRESS
Indexadores
Título da Revista
ISSN da Revista
Título do Volume
Autores
CHEN, Han
LI, Chunyan
PENG, Xinxin
ZHOU, Zhicheng
WEINSTEIN, John N.
LIANG, Han
Autor de Grupo de pesquisa
Canc Genome Atlas Res Network
Editores
Coordenadores
Organizadores
Citação
CELL, v.173, n.2, p.386-399.e12, 2018
Resumo
The role of enhancers, a key class of non-coding regulatory DNA elements, in cancer development has increasingly been appreciated. Here, we present the detection and characterization of a large number of expressed enhancers in a genome-wide analysis of 8928 tumor samples across 33 cancer types using TCGA RNA-seq data. Compared with matched normal tissues, global enhancer activation was observed in most cancers. Across cancer types, global enhancer activity was positively associated with aneuploidy, but not mutation load, suggesting a hypothesis centered on ""chromatin-state'' to explain their interplay. Integrating eQTL, mRNA co-expression, and Hi-C data analysis, we developed a computational method to infer causal enhancer-gene interactions, revealing enhancers of clinically actionable genes. Having identified an enhancer similar to 140 kb downstream of PD-L1, a major immunotherapy target, we validated it experimentally. This study provides a systematic view of enhancer activity in diverse tumor contexts and suggests the clinical implications of enhancers.
Palavras-chave
Referências
- Altshuler DM, 2012, NATURE, V491, P56, DOI 10.1038/nature11632
- Andersson R, 2014, NATURE, V507, P455, DOI 10.1038/nature12787
- Aran D, 2013, CELL, V154, P11, DOI 10.1016/j.cell.2013.06.018
- Blank M, 2012, NAT MED, V18, P227, DOI 10.1038/nm.2596
- Celona B, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001086
- Chakravarty D, 2017, JCO PRECIS ONCOL, V2017
- Chen H, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7367
- Cheng JH, 2015, SCI REP-UK, V5, DOI 10.1038/srep12648
- Ciriello G, 2013, NAT GENET, V45, P1127, DOI 10.1038/ng.2762
- De Santa F, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000384
- Dekker J, 2013, NAT REV GENET, V14, P390, DOI 10.1038/nrg3454
- Djebali S, 2012, NATURE, V489, P101, DOI 10.1038/nature11233
- Dunham I, 2012, NATURE, V489, P57, DOI 10.1038/nature11247
- Fudenberg G, 2011, NAT BIOTECHNOL, V29, P1109, DOI 10.1038/nbt.2049
- Futreal PA, 2004, NAT REV CANCER, V4, P177, DOI 10.1038/nrc1299
- Garraway LA, 2013, CELL, V153, P17, DOI 10.1016/j.cell.2013.03.002
- Gowrishankar K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0123410
- Hanahan D, 2011, CELL, V144, P646, DOI 10.1016/j.cell.2011.02.013
- He L, 2004, NAT REV GENET, V5, P522, DOI 10.1038/nrg1379
- Heintzman ND, 2007, NAT GENET, V39, P311, DOI 10.1038/ng1966
- Heinz S, 2015, NAT REV MOL CELL BIO, V16, P144, DOI 10.1038/nrm3949
- Hnisz D, 2013, CELL, V155, P934, DOI 10.1016/j.cell.2013.09.053
- Jaenisch R, 2003, NAT GENET, V33, P245, DOI 10.1038/ng1089
- Jin FL, 2013, NATURE, V503, P290, DOI 10.1038/nature12644
- Kolch W, 2015, NAT REV CANCER, V15, P515, DOI 10.1038/nrc3983
- Kundaje A, 2015, NATURE, V518, P317, DOI 10.1038/nature14248
- Lappalainen T, 2013, NATURE, V501, P506, DOI 10.1038/nature12531
- Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
- Li J, 2015, CANCER RES, V75, P3728, DOI 10.1158/0008-5472.CAN-15-0273
- Li WB, 2016, NAT REV GENET, V17, P207, DOI 10.1038/nrg.2016.4
- Lu J, 2005, NATURE, V435, P834, DOI 10.1038/nature03702
- Monti S, 2003, MACH LEARN, V52, P91, DOI 10.1023/A:1023949509487
- Mootha VK, 2003, NAT GENET, V34, P267, DOI 10.1038/ng1180
- Murakawa Y, 2016, TRENDS GENET, V32, P76, DOI 10.1016/j.tig.2015.11.004
- Natoli G, 2012, ANNU REV GENET, V46, P1, DOI 10.1146/annurev-genet-110711-155459
- Park PJ, 2009, NAT REV GENET, V10, P669, DOI 10.1038/nrg2641
- Polak P, 2014, NAT BIOTECHNOL, V32, P71, DOI 10.1038/nbt.2778
- Probst AV, 2009, NAT REV MOL CELL BIO, V10, P192, DOI 10.1038/nrm2640
- Puissant A, 2014, CANCER CELL, V25, P226, DOI 10.1016/j.ccr.2014.01.022
- Rao SSP, 2014, CELL, V159, P1665, DOI 10.1016/j.cell.2014.11.021
- Ren B, 2010, NATURE, V465, P173, DOI 10.1038/465173a
- Schmitt AD, 2016, NAT REV MOL CELL BIO, V17, P743, DOI 10.1038/nrm.2016.104
- Schuster-Bockler B, 2012, NATURE, V488, P504, DOI 10.1038/nature11273
- Schwab M., 2009, ENCY CANC
- Subramanian A, 2005, P NATL ACAD SCI USA, V102, P15545, DOI 10.1073/pnas.0506580102
- Topalian SL, 2016, NAT REV CANCER, V16, P275, DOI 10.1038/nrc.2016.36
- Weinstein JN, 2013, NAT GENET, V45, P1113, DOI 10.1038/ng.2764
- Wilkerson MD, 2010, BIOINFORMATICS, V26, P1572, DOI 10.1093/bioinformatics/btq170
- Yona AH, 2012, P NATL ACAD SCI USA, V109, P21010, DOI 10.1073/pnas.1211150109
- Yu Y, 2015, CANCER CELL, V28, P82, DOI 10.1016/j.ccell.2015.05.009
- Yuan Y, 2016, CANCER CELL, V29, P711, DOI 10.1016/j.ccell.2016.04.001
- Yuen BTK, 2013, CANCER CELL, V24, P567, DOI 10.1016/j.ccr.2013.09.015
- Zhang XY, 2016, NAT GENET, V48, P176, DOI 10.1038/ng.3470