Half of all prostate cancers are caused by the TMPRSS2–ERG gene-fusion, which enables androgens to drive expression of the normally silent E26 transformation-specific (ETS) transcription factor ERG in prostate cells1,2. Recent genomic landscape studies of such cancers3,4,5,6,7,8 have reported recurrent point mutations and focal deletions of another ETS member, the ETS2 repressor factor ERF9. Here we show these ERF mutations cause decreased protein stability and mostly occur in tumours without ERG upregulation. ERF loss recapitulates the morphological and phenotypic features of ERG gain in normal mouse prostate cells, including expansion of the androgen receptor transcriptional repertoire, and ERF has tumour suppressor activity in the same genetic background of Pten loss that yields oncogenic activity by ERG. In the more common scenario of ERG upregulation, chromatin immunoprecipitation followed by sequencing indicates that ERG inhibits the ability of ERF to bind DNA at consensus ETS sites both in normal and in cancerous prostate cells. Consistent with a competition model, ERF overexpression blocks ERG-dependent tumour growth, and ERF loss rescues TMPRSS2–ERG-positive prostate cancer cells from ERG dependency. Collectively, these data provide evidence that the oncogenicity of ERG is mediated, in part, by competition with ERF and they raise the larger question of whether other gain-of-function oncogenic transcription factors might also inactivate endogenous tumour suppressors.
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We thank A. Heguy, H. Hieronymous, J. Li, Y. Liang, E. Peguero, M. Pirun, N. Socci, P. Watson, A. Viale, Y. Zhang, Memorial Sloan Kettering Cancer Center core facilities, and the members of the Sawyers laboratory for comments. R.B. was supported by an American Society of Clinical Oncology (ASCO) Young Investigator Award, a Department of Defense Physician Training Award, and a Prostate Cancer Foundation Young Investigator Award. W.A. was supported by an ASCO Young Investigator Award and Prostate Cancer Foundation Young Investigator Award. M.G.D. was supported by a Howard Hughes Medical Institute (HHMI) Summer Medical Fellowship. N.Sch. is supported by the Prostate Cancer Foundation. C.L.S. is an investigator of the HHMI and this project was supported by National Institutes of Health grants CA155169, CA19387, CA092629, and CA008748.
The authors declare no competing financial interests.
Reviewer Information Nature thanks J. Carroll, T. Sato, L. Trotman and the other anonymous reviewer(s) for their contribution to the peer review of this work.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
Extended Data Figure 1 Recurrent ERF loss-of-function mutations are found in prostate cancer and are destabilizing.
Related to Fig. 1. a, Description of the prostate cancer patient cohorts3,4,5,6,7,8. b, ERG ETS domain (Protein Data Bank accession number 4IRI) illustrating sequence conservation with ERF. ERF missense mutations indicated by sticks. c, Expression of ERF mutant proteins in LNCaP cells. For gel source data, see Supplementary Fig. 1. d, ERF mutant protein densitometry from immunoblot in Extended Data Fig. 1c compared with mRNA RT–qPCR. e, ERF immunoprecipitation in VCaP and MSK-PCa3 cells. f, Left, bacterially expressed ETS domain (hERF20–112) with ERF tumour mutations before (−) or after (+) Ulp1 protease cleavage. Right, densitometry of in vitro ETS domains. Source data
Extended Data Figure 2 Recurrent ERF loss-of-function mutations and focal deletions are found in prostate cancer and are mostly exclusive to tumours without TMPRSS2–ERG.
Related to Fig. 1. a, ERF expression in TCGA-333 cohort4 (n = 333 patients) segregated by copy number loss. Data are Tukey box-and-whisker plots; P value calculated by two-tailed t-test of log2(RSEM values). b, cBio Oncoprint of the SU2C-294 (n = 294) metastatic prostate cancer cohort3. Unlike Fig. 1c, focal ERF deletions could not be ascertained because of differences between TCGA and SU2C copy number data3,4. P value calculated by Fisher’s exact two-tailed test. Source data
Related to Fig. 2. a, Mouse prostate organoids infected with non-targeting shRNA (shNT) or targeting ERF (shErf_m), grown in three-dimensional culture. For RT–qPCR, n = 2 biological replicates. For gel source data, see Supplementary Fig. 1. b, RT–qPCR analysis of the Pten+/+ organoids; n = 2 biological replicates. c, RNA-seq analysis of organoids derived from Pten+/+ and Pten−/− mouse prostates infected with non-targeting shNT or shErf_m; n = 2 biological replicates. d, Pten+/+ organoid RNA-seq (n = 2 biological replicates) interrogated by GSEA for expression signature of Witte basal prostate cancer18. e, Same data interrogated by GSEA for Nelson androgen up expression signature20. Source data
Related to Fig. 2. a, CWR22Pc cells infected with shRNA targeting human ERF (shERF_1) or a non-targeting shRNA (shNT). For gel source data, see Supplementary Fig. 1. b, Androgen-regulated genes (at least a twofold change, FDR < 0.05 by RNA-seq with 1 nM DHT for 16 h) in CWR22PC cells infected with either shERF_1 or shNT, analysed by the number (left, Venn diagram), the magnitude of expression change (centre, graph), and heat map (right); n = 3 biological replicates. c, RT–qPCR from CWR22Pc cells infected with shERF_1 or shNT. Data are mean ± s.e.m.; n = 3 biological replicates. Source data
Related to Fig. 2. a, Full version of Fig. 2d. Expression profiles of the TCGA-333 primary prostate cancer cohort4 (n = 333 patients) were interrogated for correlation between the ERF mRNA level and two androgen transcriptional activity signatures4,19. P values were calculated by the Spearman correlation test. b, The same analysis as a was applied to the SU2C-150 (n = 150 patients) metastatic castration-resistant prostate cancer cohort3 (mCRPC).
Extended Data Figure 6 ERF and ERG knockdown do not affect androgen receptor levels or its subcellular localization.
Related to Fig. 3. a, VCaP cells infected with doxycycline (dox)-inducible shRNA targeting ERG (+dox, ERG-low; −dox, ERG-high). For gel source data, see Supplementary Fig. 1. b, VCaP cells infected with shRNA targeting ERF (shERF_2) or a non-targeting shRNA (shNT). c, Nuclear/cytoplasmic fractionation of VCaP cells infected with shNT or shERF_2, and the doxycycline-inducible shRNA targeting ERG (shERG). d, RT–qPCR with ERG-low VCaP cells compared with those infected with shERF_2. Data are mean ± s.e.m.; n = 3 biological replicates. Source data
Related to Fig. 3. a, Androgen-regulated genes (at least a twofold change, FDR < 0.05 by RNA-seq with 1 nM DHT for 16 h) in VCaP cells infected with a doxycycline-inducible shRNA targeting ERG (with doxycycline, ERG-low; without doxycycline, ERG-high) or a constitutive shRNA targeting ERF (shERF_2) and analysed by number (top) and heat map (bottom left); n = 3 biological replicates. Bottom centre, RNA-seq analysis evaluating the effect of dihydrotestosterone on ERF expression. Bottom right, the effect of doxycycline alone on RNA-seq differential expression analysis. b, RT–qPCR of shERF_2-infected VCaP cells treated ± DHT. Data are mean ± s.e.m.; n = 3 biological replicates. c, Interrogation of RNA-seq in shERF_2 VCaP cells (n = 3 biological replicates) by GSEA for Nelson androgen up expression signature20. Source data
Related to Fig. 3. a, ChIP–qPCR (n = 2 biological replicates) in VCaP cells, amplifying either the ETS2 promoter region that contains a known ERF binding site9, or an upstream element of PSA27 lacking the ERF binding motif noted in (2) in Fig. 3b. b, The effect of ERF shRNA knockdown on its binding to the ETS2 promoter as assessed by ChIP–qPCR (n = 2 biological replicates), compared with its effect on ERF mRNA by RT–qPCR. Data are mean ± s.e.m.; n = 3 biological replicates. c, ERF ChIP–seq in ERG-high or ERG-low (n = 2 biological replicates: R1, R2) analysed by heat maps. d, Comparison of ERF ChIP–seq peak numbers, n = 2 biological replicates: R1, R2. e, A 10-Mb region illustrating ChIP–seq of ERF binding in ERG-high condition compared with ERG-low. f, ChIP–seq signals for the SCD and PLEKHD1 loci. In both e and f, ChIP–seq signals at the y axis were normalized by read depths. Source data
Related to Fig. 3. a, Mouse normal prostate organoids were infected with a TetOn doxycycline-inducible Flag–ERG or empty vector (Flag-alone) and treated with or without doxycycline. For gel source data, see Supplementary Fig. 1. b, ERF ChIP–seq in normal prostate organoids infected with either Flag-alone or Flag–ERG lentivirus, both treated with doxycycline (n = 2 biological replicates: R1, R2), and analysed with heat maps. c, Comparison of ERF ChIP–seq peak numbers, n = 2 biological replicates (R1, R2). d, ERF ChIP–seq signals for the Rph3a1 and Sh3bp5 loci, normalized by read depths. Source data
Related to Fig. 4. a, Pooled mouse Pten−/−; R26ERG/ERG organoids infected with CRISPR–Cas9 targeting AAVS1 (sgNT) or ERF (sgErf). For gel source data, see Supplementary Fig. 1. b, Pten−/−; R26ERG/ERG organoids infected instead with a doxycycline-inducible Flag–ERF or empty vector (Flag alone). c, RT–qPCR of mRNA isolated from the Flag–ERF-infected organoids and treated with or without doxycycline, with or without dihydrotestosterone 1 nM for 16 h. Data are mean ± s.e.m.; n = 3 biological replicates. d, Pooled VCaP cells were first infected with non-targeting shRNA (shNT) or ERF (shERF_2), followed by sgNT or sgERF CRISPR–Cas9. e, Androgen-regulated genes (at least a twofold change, FDR < 0.05 by RNA-seq with 1 nM DHT for 16 h) in VCaP cells infected with a doxycycline-inducible shRNA targeting ERG (with doxycycline, ERG-low) and either a constitutive shRNA targeting ERF (shERF_2) or a non-targeting shRNA (shNT). Data analysed by number (left, Venn diagram) and heat map (right); n = 3 biological replicates. Source data
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Bose, R., Karthaus, W., Armenia, J. et al. ERF mutations reveal a balance of ETS factors controlling prostate oncogenesis. Nature 546, 671–675 (2017). https://doi.org/10.1038/nature22820
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