Published OnlineFirst May 29, 2018; DOI: 10.1158/1078-0432.CCR-18-0653
Cancer Therapy: Preclinical Clinical Cancer Research TMPRSS2-ERG Controls Luminal Epithelial Lineage and Antiandrogen Sensitivity in PTEN and TP53-Mutated Prostate Cancer Alexandra M. Blee1,2, Yundong He1, Yinhui Yang1,3, Zhenqing Ye4, Yuqian Yan1, Yunqian Pan1, Tao Ma4, Joseph Dugdale1, Emily Kuehn1, Manish Kohli5, Rafael Jimenez6, Yu Chen7, Wanhai Xu3, Liguo Wang4, and Haojie Huang1,8,9
Abstract
Purpose: Deletions or mutations in PTEN and TP53 tumor xenografts, and allografted mouse tumors. Trends were eval- suppressor genes have been linked to lineage plasticity in uated in TCGA, SU2C, and Beltran 2016 published patient therapy-resistant prostate cancer. Fusion-driven overexpres- cohorts and a human tissue microarray. sion of the oncogenic transcription factor ERG is observed in Results: Transgenic ERG expression in mice blocked Pten/ approximately 50% of all prostate cancers, many of which also Trp53 alteration–induced decrease of AR expression and harbor PTEN and TP53 alterations. However, the role of ERG downstream luminal epithelial genes. ERG directly suppressed in lineage plasticity of PTEN/TP53–altered tumors is unclear. expression of cell cycle–related genes, which induced RB Understanding the collective effect of multiple mutations hypophosphorylation and repressed E2F1-mediated expres- within one tumor is essential to combat plasticity-driven sion of mesenchymal lineage regulators, thereby restricting therapy resistance. adenocarcinoma plasticity and maintaining antiandrogen sen- Experimental Design: We generated a Pten-negative/Trp53- sitivity. In ERG-negative tumors, CDK4/6 inhibition delayed mutated/ERG-overexpressing mouse model of prostate cancer tumor growth. and integrated RNA-sequencing with ERG chromatin immu- Conclusions: Our studies identify a previously undefined noprecipitation-sequencing (ChIP-seq) to identify pathways function of ERG to restrict lineage plasticity and maintain regulated by ERG in the context of Pten/Trp53 alteration. We antiandrogen sensitivity in PTEN/TP53–altered prostate can- investigated ERG-dependent sensitivity to the antiandrogen cer. Our findings suggest ERG fusion as a biomarker to guide enzalutamide and cyclin-dependent kinase 4 and 6 (CDK4/6) treatment of PTEN/TP53-altered, RB1-intact prostate cancer. inhibitor palbociclib in human prostate cancer cell lines, Clin Cancer Res; 1–15. 2018 AACR.
1Department of Biochemistry and Molecular Biology, Mayo Clinic College of Introduction Medicine, Rochester, Minnesota. 2Biochemistry and Molecular Biology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Castration-resistant prostate cancers respond to current anti- Minnesota. 3Department of Urology, the Fourth Hospital of Harbin Medical androgen therapies with variable levels of success (1), in part, due University, Harbin, Heilongjiang, China. 4Division of Biomedical Statistics and to extensive genetic heterogeneity (2–4). While mechanisms of Informatics, Department of Health Sciences Research, Mayo Clinic College of androgen receptor (AR) pathway restoration and compensation Medicine, Rochester, Minnesota. 5Department of Oncology, Mayo Clinic College are well documented, adenocarcinoma cell lineage plasticity and 6 of Medicine, Rochester, Minnesota. Department of Laboratory Medicine and reprogramming to AR independence represents an additional Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota. 7Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, resistance mechanism (5). Interestingly, the incidence of AR- New York, New York. 8Department of Urology, Mayo Clinic College of Medicine, independent tumor progression after castration and antiandrogen Rochester, Minnesota. 9Mayo Clinic Cancer Center, Mayo Clinic College of treatment has increased since the advent of enzalutamide and Medicine, Rochester, Minnesota. abiraterone use in the clinic, highlighting that prostate cancer Note: Supplementary data for this article are available at Clinical Cancer lineage plasticity is an increasingly important barrier to overcome Research Online (http://clincancerres.aacrjournals.org/). (6). Recent studies have identified a few key molecular events RB1 A.M. Blee, Y. He, and Y. Yang contributed equally to this article. involved in AR-independent tumor progression, such as / PTEN/TP53 loss, MYCN/AURKA amplification, and altered epi- Corresponding Authors: Haojie Huang, Department of Biochemistry and Molec- genetic regulators including EZH2 (7). However, the molecular ular Biology, Mayo Clinic College of Medicine, 200 First Street Southwest, Rochester, MN 55905. Phone: 507-293-1712; Fax: 507-293-3071; E-mail: basis underlying prostate cancer lineage plasticity and antiandro- [email protected]; Liguo Wang, Department of Health Sciences gen resistance remains poorly understood due to extensive patient Research, Mayo Clinic College of Medicine, Rochester, MN 55905. E-mail: tumor heterogeneity and model limitations. [email protected]; and Wanhai Xu, Department of Urology, the Fourth PTEN loss frequently overlaps with TP53 mutation or loss in Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China. E-mail: drug-resistant, morphologically distinct, reprogrammed tumors [email protected] (8–11). A significant proportion of both primary and castration- doi: 10.1158/1078-0432.CCR-18-0653 resistant tumors with PTEN/TP53 alteration also have AR-depen- 2018 American Association for Cancer Research. dent, TMPRSS2 fusion–driven overexpression of the ETS family
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used within 6 months of thawing. No mycoplasma contamina- Translational Relevance tion was detected in these cell lines by testing with the Lookout Prostate cancer resistance to androgen deprivation and AR- Mycoplasma PCR Detection Kit (Sigma-Aldrich). Charcoal- targeted therapies remains a pressing clinical obstacle, partly stripped serum (CSS) was purchased from Thermo Fisher Scien- explained by lineage plasticity and transition to AR-indepen- tific-Gibco (#12676029). Enzalutamide was kindly provided by dent tumor types in response to these therapies. A compre- Medivation. LNCaP-RF cells were treated with 10 mmol/L of hensive understanding of genetic prostate tumor subtypes and enzalutamide for 72 hours unless otherwise noted. Palbociclib the unique response of each mutational subtype to AR-tar- (PD-0332991) was obtained from ApexBio. LNCaP-RF cells were geted therapies is necessary to develop new, subtype-specific treated with 1 mmol/L of palbociclib for 72 hours unless otherwise therapeutic strategies that overcome therapy-induced lineage noted. For combination treatment, LNCaP-RF cells were treated plasticity. Our results demonstrate that E-twenty-six transfor- with 10 mmol/L enzalutamide and 1 mmol/L palbociclib for mation specific (ETS)-related gene (ERG) prevents PTEN- and 72 hours. tumor protein 53 (TP53)-negative tumor cell lineage plasticity and antiandrogen resistance by blocking E2F1-mediated Cell transfection and lentivirus transduction expression of lineage switch genes. These findings also reveal For lentiviral shRNA or stable plasmid expression, HEK293T the efficacy of targeting retinoblastoma (RB)/E2F1 activity cells were transiently transfected with pTsin-HA-ERG FL, pTsin- with palbociclib in ERG-negative, PTEN/TP53-altered tumors. HA-ERG-T1-E4, pTsin-EV, pLKO-shNT, pLKO-shRB, pLKO- This study redefines the role of ERG in a specific tumor subtype shERG, pLKO-shPTEN, or pLKO-shE2F1 as indicated using Lipo- and may guide evaluation of the status of concomitant ERG fectamine 2000 (Thermo Fisher Scientific) following manufac- fusion, PTEN/TP53 alteration, and RB1 when selecting ther- turer's instructions. Virus-containing supernatant was collected apeutic strategies. 48 hours posttransfection and indicated cells were infected with virus-containing supernatant and 8 mg/mL polybrene. Selection was performed with 1.5 mg/mL puromycin. Sequences of gene- specific shRNAs are listed in Supplementary Table S1. Two shRNAs per gene were tested. transcription factor ERG (2–4). ERG alone has been shown to repress a neural gene expression signature (12) as well as partially rescue the AR pathway under PTEN loss conditions (13), but the Coimmunoprecipitation and Western blotting mechanistic role of ERG in the clinically relevant context of both Coimmunoprecipitation and subsequent Western blotting PTEN/TP53 alteration remains uncharacterized. was performed as described previously (15). The following Toaddressthesegapsinthefield, we generated a mouse antibodies were used: anti-ERG (ab92513, Abcam; CM421C, modelofprostatecancerthatencompassesPten deletion, Trp53 Biocare Medical), anti-PTEN (CST9559L, Cell Signaling Tech- mutation, and ERG overexpression. Notably, we revealed a nology), anti-p53 (sc126, Santa Cruz Biotechnology), anti-AR novel function of ERG to repress expression of a subset of cell (sc816, Santa Cruz Biotechnology), anti-NKX3.1 (NB100-1828, cycle–related genes and block RB hyperphosphorylation in Novus Biologicals), anti-RB (554136, BD Biosciences), anti- Pten/Trp53-altered, Rb1-intact tumors. As a result, ERG-positive, pRB S795 (CST9301S, Cell Signaling Technology), anti-SKP2 Pten/Trp53-altered tumors had minimal expression of E2F1 (32-3300, Life Technologies), anti-CCND1 (sc718, Santa Cruz downstream targets involved in a mesenchymal cell lineage Biotechnology), anti-CDK1 (sc54, Santa Cruz Biotechnology), switch. We extended these findings to both preclinical xenograft anti-TWIST (sc6269, Santa Cruz Biotechnology), anti-CDH1 and allograft models of tumor progression and demonstrated (610181, BD Biosciences), anti-VIM (sc73258, Santa Cruz that ERG overexpression maintained AR positivity and sensi- Biotechnology), anti-ERK2 (sc1647, Santa Cruz Biotechnology), tivity to enzalutamide. In stark contrast, ERG-negative, Pten/ anti-CDK2 (sc6248, Santa Cruz Biotechnology), anti-E2F1 Trp53–altered tumors were resistant to enzalutamide treatment (sc193, Santa Cruz Biotechnology), anti-pAKT S473 (CST4060L, and instead developed a reliance on the RB/E2F1 pathway, Cell Signaling Technology), and anti-AKT (CST9272, Cell Signal- which was effectively targeted with a CDK4/6 inhibitor, palbo- ing Technology). ciclib. This study emphasizes the importance of evaluating the individual genetic profile of tumors when designing therapeutic qRT-PCR strategies, with particular emphasis on ERG fusion, RB1,and qRT-PCR was performed as described previously (15). All fi PTEN/TP53 status. quanti cations were normalized to the level of endogenous GAPDH gene. Primers used are listed in Supplementary Table S2.
Materials and Methods Chromatin immunoprecipitation and qPCR Cell lines, cell culture, and drug treatment Chromatin immunoprecipitation (ChIP) was performed as LNCaP, HEK293T, VCaP, and PC-3 cells were obtained from described previously (16). DNA was pulled down with indicated the ATCC. C4-2 cells were purchased from Uro Corporation. primary antibodies (anti-ERG, ab92513; anti-E2F1, sc193) or LNCaP-RF cells were described previously (14). HEK293T cells nonspecific IgG. Primers to amplify DNA by real-time qPCR are were maintained in DMEM supplemented with 10% FBS. VCaP listed in Supplementary Table S3. cells were maintained in DMEM supplemented with 13% FBS. C4- 2, LNCaP, LNCaP-RF, and PC-3 cells were maintained in Cell proliferation assays RPMI1640 medium supplemented with 10% FBS. All cell lines LNCaP-RF, VCaP, or PC-3 cells were seeded in 96-well plates were authenticated (karyotyping, mutations in p53 and ERG ( 3,000 cells/wells) and treated as indicated. Cells were fixed at fusions, and AR, PTEN, p53, and ERG protein expression) and indicated timepoints (day 0–5) and cell growth was measured
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using sulfohodamine B (SRB) assay (n ¼ 5) as described previ- status for Beltran cohort (metastatic tumor specimens ¼ 114) was ously (17). downloaded from Supplementary Table S5 of the original study (23). Only ERG fusions with RNA-seq or NanoString Hematoxylin and eosin staining evidence were included into the analysis. ORs were calculated in Four micron–thick sections were cut from formalin-fixed par- cBioPortal where OR > 1 indicates cooccurrence and OR < 1 affin-embedded (FFPE) tumor samples from indicated samples. indicates mutual exclusivity, followed by two-tailed Fisher exact Xylene washes were used to deparaffinize the tissue, followed by tests to determine significance of the cooccurrence or mutual graded ethanol washes to rehydrate tissue. Tissue was stained with exclusivity, as described previously (24). hematoxylin, washed, and counterstained with 1% eosin. Stained tissue was dehydrated with graded ethanol washes and a final RNA-seq and data analysis xylene wash before mounting and sealing with coverslips. Total RNA was isolated from mouse prostates by homogeni- zation of frozen tissue and purified using the RNeasy Plus Mini Kit IHC and immunofluorescent cytochemistry (Qiagen). Two-hundred micrograms of high-quality total RNA Four micron–thick sections were cut from FFPE tumor samples was used to generate the RNA sequencing library. cDNA synthesis, from indicated mice, xenografts, or human tissue microarrays. end-repair, A-base addition, and ligation of the Illumina indexed Tissue was deparaffinized with xylene and rehydrated through adapters were performed according to the TruSeq RNA Sample graded ethanol washes. Antigen retrieval and immunostaining Prep Kit v2 (Illumina). The concentration and size distribution of was performed as described previously (18, 19). Antibodies for the completed libraries was determined using an Agilent Bioa- IHC and IFC include: anti-AR (ab108341), anti-ERG (ab92513), nalyzer DNA 1000 chip and Qubit fluorometry (Invitrogen). anti-CD31 (ab28364), anti-CKAE1/3 (ab27988), anti-RB pS795 Paired-end libraries were sequenced on an Illumina HiSeq (ab85607), anti-Ki67 (ab15580), anti-pAKT S473 (CST4060L), 4000 following Illumina's standard protocol using the Illumina anti-CK8/18 (ab531826), anti-CK5 (ab52635), anti-Vimentin cBot and HiSeq 3000/4000 PE Cluster Kit. Samples were (CST5741S). Ki67 and pRB S795 staining of mouse and xenograft sequenced in biological triplicates and each sample yielded tissues was quantified by counting the number of positive cells out 60–90 million paired-end reads (2 50 nucleotide read length). of 100 cells in five random fields of view at 400 per mouse. Base calling was performed using Illumina's RTA software (ver- Staining intensity and percentage for ERG and AR staining of sion 2.5.2). Paired-end RNA-seq reads were aligned to the mouse human tissue microarrays were graded using a set of criteria. reference genome (GRCm38/mm10) using RNA-seq spliced read Intensity was graded 0–3: 0 no staining, 1 low staining, 2 medium mapper Tophat2 (v2.0.6; ref. 25). Pre- and postalignment quality staining, and 3 strong staining. A staining index score for each controls, gene-level raw read count, and normalized read count (i. tissue biopsy was obtained by multiplying the staining intensity e., FPKM) were performed using RSeQC package (v2.3.6) with and percentage values, and used for Pearson product–moment NCBI mouse RefSeq gene model (26). Differential gene expres- correlation analysis. sion analyses were conducted using edgeR (version 3.6.8) and the built-in "TMM" (trimmed mean of M values) normalization Gene set enrichment analysis method were used (27). Differentially expressed genes were Gene set enrichment analysis (GSEA) was performed with determined on the basis of the false discovery rate (FDR) thresh- a preranked list of the target genes identified by integrated analy- old 0.01. sis of RNA-seq and ChIP-seq data against curated datasets includ- ing HALLMARK_E2F_TARGETS, HALLMARK_EPITHELIAL_ ChIP-seq data analysis MESENCHYMAL_TRANSITION, CHARAFE_BREAST_CANCER_ ERG, H3K4me1, and H3K4me3 ChIP-seq data in mouse pros- LUMINAL_VS_MESENCHYMAL_DOWN, CHARAFE_BREAST_ tate tissue was downloaded from NCBI Gene Expression Omni- CANCER_LUMINAL_VS_MESENCHYMAL_UP from the Broad bus (GEO) with accession number GSE47119 (13). To be com- Institute (20). patible with our RNA-seq analysis results, raw reads were rea- ligned to the mouse reference genome (GRCm38/mm10) using Samples from patients with prostate cancer bowtie2 (version 2.2.9; ref. 28). MACS2 (version 2.0.10) was used The advanced prostate cancer dataset was generated from to identify peaks with input samples used as background and a patients undergoing standard-of-care clinical biopsies at Mayo P value cutoff 1E 5 (macs2 callpeak –bdg –SPMR -f BAM; ref. 29). Clinic (Rochester, MN). A tissue microarray was constructed from ChIP-seq tag intensity tracks (bedGraph files) were generated by the FFPE samples of metastatic prostate cancer, identified after a MACS2, and then were converted into bigWig files using UCSC search of pathologic and clinical databases of archival tissues. The "wigToBigWig" tool. The association of peaks to target genes was Mayo Clinic institutional review board approved the experimen- performed by Genomic Regions Enrichment of Annotations Tool tal protocols for retrieving pathology blocks/slides and for acces- (GREAT; ref. 30). ERG ChIP-seq data in VCaP cells (GSE14092; sing electronic medical records. The human tissue microarray ref. 31), E2F1 ChIP-seq data in PC-3 cells (GSE77448; ref. 32), and contained 157 cores (16 0.6 mm and 141 1.0 mm cores) resulting H3K4me3 ChIP-seq data in LNCaP cells (GSE43791; ref. 33) were from 53 samples (20 bone metastases and 33 nonbone metasta- downloaded from GEO. ChIP-seq analysis procedure was the ses) from 51 patients. Cores in which greater than 50% of the same as described above after mapping reads to the human tissue was lost during IHC were excluded from analysis. reference genome (GRCh37/hg19).
Meta-analysis of publicly available datasets Generation of Pten/Trp53/ERG-altered mouse model and ERG fusion and genetic alterations of PTEN and TP53 for TCGA genotyping (n ¼ 333) and SU2C (n ¼ 150) cohorts were downloaded from All animal studies were approved by the Mayo Clinic Institu- cBioPortal (http://www.cbioportal.org/; refs. 21, 22). ERG fusion tional Animal Care and Use Committee (IACUC). All mice were
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housed in standard conditions with a 12-hour light/12-hour dark cohort analyzed in Fig. 5 was downloaded from Supplementary cycle and access to food and water ad libitum. The indicated groups Table S5 of the original study (23). The ERG, H3K4me1, and of mice were generated by crossing the following mice: Probasin H3K4me3 ChIP-seq datasets analyzed in Fig. 3 were accessed from (Pb)-driven Cre4 recombinase transgenic mice, acquired from the the NCBI Gene Expression Omnibus (GEO) with accession num- National Cancer Institute (NCI) Mouse Repository and originally ber GSE47119 (13), the ERG and H3K4me3 ChIP-seq datasets generated in the laboratory of Dr. Pradip Roy-Burnam at Univer- analyzed in Fig. 4 were accessed from the NCBI GEO with the sity of Southern California (Los Angeles, CA; ref. 34); transgenic accession numbers GSE14092 (31) and GSE43791 (33), and ERG mice purchased from the Jackson Laboratory (010929), the E2F1 and H3K4me3 ChIP-seq datasets analyzed in Supple- originally generated in the laboratory of Dr. Valeri Vasioukhin mentary Fig. S5 were accessed from the NCBI GEO with the at Fred Hutchinson Cancer Research Center (Seattle, WA; ref. 35); accession numbers GSE77448 (32) and GSE43791 (https:// Pten loxp/loxp conditional mice, acquired from Jackson Labora- www.ncbi.nlm.nih.gov/geo/; ref. 33). The HALLMARK_E2F, tory (004597) and originally generated in the laboratory of Dr. HALLMARK_EPITHELIAL_TO_MESENCHYMAL, and CHARA- Hong Wu at University of California (Los Angeles, CA; ref. 36); FE_BREAST_CANCER datasets for GSEA in Fig. 3 were accessed Trp53 loxp/loxp conditional mice, acquired from the NCI Mouse from the Broad Institute (http://software.broadinstitute.org/gsea/ Repository and originally generated in the laboratory of Dr. Tyler index.jsp; ref. 20). The RNA-seq data generated from mouse Jacks at Massachusetts Institute of Technology (Cambridge, MA; prostate tissues in Fig. 3 is accessible from the NCBI GEO with ref. 37); and Trp53 loxp-STOP-loxp-R172H conditional mice, the accession number GSE103871. acquired from the NCI Mouse Repository and originally generated in the laboratory of Dr. Tyler Jacks at Massachusetts Institute of Statistical analysis Technology (Cambridge, MA; ref. 37). PCR genotyping primers All data are shown as mean values SE for experiments are listed in Supplementary Table S4. performed with at least three replicates. Differences between two groups were analyzed using paired Student t tests unless otherwise Generation and treatment of prostate cancer cell line xenografts noted. P values < 0.05 were considered significant. and mouse-derived allografts All animal studies were approved by the Mayo Clinic IACUC. All mice were housed in standard conditions with a 12-hour light/ Results 12-hour dark cycle and access to food and water ad libitum. NOD- Generation and characterization of a clinically relevant Pten/ SCID IL2 receptor g-null (NSG) mice were generated in house and Trp53/ERG triple-mutant mouse model at 6 weeks of age, were randomly divided into different experi- By mining the whole-exome sequencing data from TCGA mental treatment groups as indicated (six mice per group). For patients with primary prostate cancer (PRPC; N ¼ 333; ref. 3), prostate cancer cell line xenografts, 5 106 LNCaP-RF cells per we revealed significant cooccurrence (P ¼ 1.11 10 6,OR¼ 3.01; injection were suspended in 0.1 mL of 50% PBS and 50% Corning 95% CI ¼ 1.89–4.84) of PTEN/TP53 deletions or mutations with Matrigel Matrix and implanted by subcutaneous injection into the ERG gene fusions, one of the most frequent genetic alterations in left flank of each NSG mouse (one implantation per mouse) using prostate cancer (ref. 38; Fig. 1A and B). In contrast, while a similar a 16 gauge needle. LNCaP-RF cells were tested and ensured to be trend was observed in the SU2C metastatic castration-resistant mycoplasma-free prior to injection using the Lookout Mycoplas- prostate cancer (mCRPC) patients (N ¼ 150; ref. 4), the correla- ma PCR Detection Kit purchased from Sigma-Aldrich, and were tion (P ¼ 0.043, OR ¼ 2.04; 95% confidence interval ¼ 0.98– stably expressing either pTsin-EV or pTsin-HA-ERG-T1-E4. For 4.33) was much weaker than that in TCGA PRPC patients (Fig. 1A mouse-derived allografts, three ARlow/KRTlow DMT prostate and B). Given that AR is more commonly expressed in PRPC tumors and three ARhigh/KRThigh TMT prostate tumors were compared with mCRPC, especially neuroendocrine CRPC (NEPC; homogenized and 200 mL of tissue per NSG mouse was implanted refs. 23, 39), these data suggest that ERG fusions are prone to by subcutaneous injection into the left flank of each NSG mouse cooperate with PTEN and TP53 gene alterations in the pathogen- (one implantation per mouse) using a 16 gauge needle. Once the esis of AR-positive prostate cancer. It is important to note that in implanted cells grew to reach a size of 100 mm3 measured the mCRPC SU2C cohort, only 3.6% of samples displayed neu- externally with calipers (approximately 4–5 weeks posttransplan- roendocrine (ARlow/KRTlow) features (4), which may partly tation), drug treatment began. Mice were treated with vehicle (100 explain the apparent under-representation of AR loss samples in mL sodium lactate), enzalutamide (30 mg/kg/day), palbociclib the SU2C dataset (Fig. 1A). To genetically test this hypothesis in (100 mg/kg/day), or combination by oral gavage, once daily five vivo, we generated four cohorts of mice recapitulating the genetic days per week for three weeks. Mouse weight and tumor size was alterations most frequently occurring in human prostate cancers measured every three days by measuring tumor length (L) and (such as R175H in TP53; refs. 3, 4, 40; Supplementary Fig. S1): (i) width (W) using a caliper, and tumor volume (TV) was calculated "wild-type" (Cre-negative littermates); (ii) ERG transgenic alone, with the following formula: TV ¼ (L W2)/2. Posttreatment, with Met33 N-terminally truncated ERG driven by the AR-depen- xenografted tissue was harvested and collected for subsequent dent probasin (Pb) promoter (hereafter termed Pb-ERG); (iii) study. prostate-specific Pten deletion and Trp53 deletion and mutation (Ptenpc / ;Trp53pcR172H/ , hereafter termed double mutant or Data availability DMT) where Trp53 R172H is the mouse equivalent to human The datasets generated and/or analyzed during the current TP53 R175H; and (iv) Ptenpc / ;Trp53pcR172H/ ;Pb-ERG (hereafter study are available in the following repositories. The Cancer termed triple mutant or TMT; Supplementary Fig. S2A). We Genome Atlas (TCGA) and Stand Up To Cancer (SU2C) datasets generated these four groups of mice by using Pb-driven Cre analyzed in Fig. 1 and Supplementary Fig. S1 were accessed from recombinase (Pb-Cre4; ref. 34), Pb-ERG (35), Ptenloxp/loxp (36), cBioPortal (http://www.cbioportal.org/; refs. 21, 22). The Beltran and Trp53loxp-stop-loxp-R172H/loxp (37) as breeders. For comparison,
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Figure 1. ERG tempers PTEN/TP53 alteration–induced loss of ARhigh luminal epithelial cells. A, Oncoprint image with percentage of ERG, PTEN, TP53, and AR genetic alterations in 333 primary prostate cancer patient samples (top, TCGA cohort; ref. 3) and 150 advanced mCRPC patient samples (bottom, SU2C cohort; ref. 4). B, Contingency tables used by Fisher exact test (two-tailed) to examine association between ERG fusion and PTEN/TP53 alterations in primary TCGA (left) and mCRPC SU2C (right) cohorts. C, Histologic characterization of mouse prostate tissue from 16–20 weeks of age. Wild-type n ¼ 8, Pb-ERG n ¼ 9, DMT n ¼ 10, TMT n ¼ 12. Top, hematoxylin and eosin (H&E) staining. Subsequent rows, IHC for AR, ERG, CD31, Pan-KRT, KRT8/18, KRT5, and Vimentin. CD31 as an endothelial cell marker to distinguish between endogenous endothelial versus transgenic ERG. Asterisk in Vimentin IHC tissue indicates a stromal compartment that is distinct from the Vimentinlow adenocarcinoma.
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