학술논문

Sequencing of prostate cancers identifies new cancer genes, routes of progression and drug targets
Document Type
article
Author
Wedge, David CGundem, GunesMitchell, ThomasWoodcock, Dan JMartincorena, InigoGhori, MohammedZamora, JorgeButler, AdamWhitaker, HayleyKote-Jarai, ZsofiaAlexandrov, Ludmil BVan Loo, PeterMassie, Charlie EDentro, StefanWarren, Anne YVerrill, ClareBerney, Dan MDennis, NeningMerson, SueHawkins, SteveHowat, WilliamLu, Yong-JieLambert, AdamKay, JonathanKremeyer, BarbaraKaraszi, KatalinLuxton, HayleyCamacho, NiedzicaMarsden, LukeEdwards, SandraMatthews, LucyBo, ValeriaLeongamornlert, DanielMcLaren, StuartNg, AnthonyYu, YongweiZhang, HongweiDadaev, TokhirThomas, SarahEaston, Douglas FAhmed, MahbublBancroft, ElizabethFisher, CyrilLivni, NaomiNicol, DavidTavaré, SimonGill, PelvenderGreenman, ChristopherKhoo, VincentVan As, NicholasKumar, PardeepOgden, ChristopherCahill, DeclanThompson, AlanMayer, ErikRowe, EdwardDudderidge, TimGnanapragasam, VincentShah, Nimish CRaine, KeiranJones, DavidMenzies, AndrewStebbings, LucyTeague, JonHazell, StevenCorbishley, CathyCAMCAP Study Groupde Bono, JohannAttard, GerhardtIsaacs, WilliamVisakorpi, TapioFraser, MichaelBoutros, Paul CBristow, Robert GWorkman, PaulSander, ChrisThe TCGA ConsortiumHamdy, Freddie CFutreal, AndrewMcDermott, UltanAl-Lazikani, BissanLynch, Andrew GBova, G StevenFoster, Christopher SBrewer, Daniel SNeal, David ECooper, Colin SEeles, Rosalind A
Source
Nature Genetics. 50(5)
Subject
Genetics
Human Genome
Aging
Cancer
Urologic Diseases
Biotechnology
Prostate Cancer
Aetiology
5.1 Pharmaceuticals
2.1 Biological and endogenous factors
Development of treatments and therapeutic interventions
Adult
Aged
Aged
80 and over
BRCA2 Protein
Disease Progression
Hepatocyte Nuclear Factor 3-alpha
High-Throughput Nucleotide Sequencing
Humans
Male
Middle Aged
Mutation
Oncogenes
Prostatic Neoplasms
CAMCAP Study Group
TCGA Consortium
Biological Sciences
Medical and Health Sciences
Developmental Biology
Language
Abstract
Prostate cancer represents a substantial clinical challenge because it is difficult to predict outcome and advanced disease is often fatal. We sequenced the whole genomes of 112 primary and metastatic prostate cancer samples. From joint analysis of these cancers with those from previous studies (930 cancers in total), we found evidence for 22 previously unidentified putative driver genes harboring coding mutations, as well as evidence for NEAT1 and FOXA1 acting as drivers through noncoding mutations. Through the temporal dissection of aberrations, we identified driver mutations specifically associated with steps in the progression of prostate cancer, establishing, for example, loss of CHD1 and BRCA2 as early events in cancer development of ETS fusion-negative cancers. Computational chemogenomic (canSAR) analysis of prostate cancer mutations identified 11 targets of approved drugs, 7 targets of investigational drugs, and 62 targets of compounds that may be active and should be considered candidates for future clinical trials.