Imperial College London

ProfessorCharlotteBevan

Faculty of MedicineDepartment of Surgery & Cancer

Professor of Cancer Biology
 
 
 
//

Contact

 

charlotte.bevan Website

 
 
//

Assistant

 

Mrs Suzy Ford +44 (0)20 7594 2135

 
//

Location

 

139ICTEM buildingHammersmith Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Siddappa:2020:10.1038/s41598-020-77055-5,
author = {Siddappa, M and Wani, SA and Long, MD and Leach, DA and Mathe, EA and Bevan, CL and Campbell, MJ},
doi = {10.1038/s41598-020-77055-5},
journal = {Scientific Reports},
pages = {1--16},
title = {Identification of transcription factor co-regulators that drive prostate cancer progression},
url = {http://dx.doi.org/10.1038/s41598-020-77055-5},
volume = {10},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - In prostate cancer (PCa), and many other hormone-dependent cancers, there is clear evidence for distorted transcriptional control as disease driver mechanisms. Defining which transcription factor (TF) and coregulators are altered and combine to become oncogenic drivers remains a challenge, in part because of the multitude of TFs and coregulators and the diverse genomic space on which they function. The current study was undertaken to identify which TFs and coregulators are commonly altered in PCa. We generated unique lists of TFs (n = 2662), coactivators (COA; n = 766); corepressors (COR; n = 599); mixed function coregulators (MIXED; n = 511), and to address the challenge of defining how these genes are altered we tested how expression, copy number alterations and mutation status varied across seven prostate cancer (PCa) cohorts (three of localized and four advanced disease). Testing of significant changes was undertaken by bootstrapping approaches and the most significant changes were identified. For one commonly and significantly altered gene were stably knocked-down expression and undertook cell biology experiments and RNA-Seq to identify differentially altered gene networks and their association with PCa progression risks. COAS, CORS, MIXED and TFs all displayed significant down-regulated expression (q.value < 0.1) and correlated with protein expression (r 0.4–0.55). In localized PCa, stringent expression filtering identified commonly altered TFs and coregulator genes, including well-established (e.g. ERG) and underexplored (e.g. PPARGC1A, encodes PGC1α). Reduced PPARGC1A expression significantly associated with worse disease-free survival in two cohorts of localized PCa. Stable PGC1α knockdown in LNCaP cells increased growth rates and invasiveness and RNA-Seq revealed a profound basal impact on gene expression (~ 2300 genes; FDR < 0.05, logFC&thins
AU - Siddappa,M
AU - Wani,SA
AU - Long,MD
AU - Leach,DA
AU - Mathe,EA
AU - Bevan,CL
AU - Campbell,MJ
DO - 10.1038/s41598-020-77055-5
EP - 16
PY - 2020///
SN - 2045-2322
SP - 1
TI - Identification of transcription factor co-regulators that drive prostate cancer progression
T2 - Scientific Reports
UR - http://dx.doi.org/10.1038/s41598-020-77055-5
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000595844700017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.nature.com/articles/s41598-020-77055-5
UR - http://hdl.handle.net/10044/1/86892
VL - 10
ER -