| Literature DB >> 35031563 |
Yiji Liao1, Chen-Hao Chen2,3,4, Tengfei Xiao2,5, Bárbara de la Peña Avalos6, Eloise V Dray6, Changmeng Cai7, Shuai Gao7, Neel Shah2,5, Zhao Zhang1, Avery Feit2,8, Pengya Xue1, Zhijie Liu1, Mei Yang1, Ji Hoon Lee1, Han Xu2,3, Wei Li2,3, Shenglin Mei2, Roodolph S Pierre8,9, Shaokun Shu2,5, Teng Fei2,5, Melissa Duarte2, Jin Zhao2,5, James E Bradner8,9, Kornelia Polyak2,5, Philip W Kantoff2,5, Henry Long2, Steven P Balk10, X Shirley Liu11,3,4, Myles Brown11,5, Kexin Xu12,2.
Abstract
Drugs that block the activity of the methyltransferase EZH2 are in clinical development for the treatment of non-Hodgkin lymphomas harboring EZH2 gain-of-function mutations that enhance its polycomb repressive function. We have previously reported that EZH2 can act as a transcriptional activator in castration-resistant prostate cancer (CRPC). Now we show that EZH2 inhibitors can also block the transactivation activity of EZH2 and inhibit the growth of CRPC cells. Gene expression and epigenomics profiling of cells treated with EZH2 inhibitors demonstrated that in addition to derepressing gene expression, these compounds also robustly down-regulate a set of DNA damage repair (DDR) genes, especially those involved in the base excision repair (BER) pathway. Methylation of the pioneer factor FOXA1 by EZH2 contributes to the activation of these genes, and interaction with the transcriptional coactivator P300 via the transactivation domain on EZH2 directly turns on the transcription. In addition, CRISPR-Cas9-mediated knockout screens in the presence of EZH2 inhibitors identified these BER genes as the determinants that underlie the growth-inhibitory effect of EZH2 inhibitors. Interrogation of public data from diverse types of solid tumors expressing wild-type EZH2 demonstrated that expression of DDR genes is significantly correlated with EZH2 dependency and cellular sensitivity to EZH2 inhibitors. Consistent with these findings, treatment of CRPC cells with EZH2 inhibitors dramatically enhances their sensitivity to genotoxic stress. These studies reveal a previously unappreciated mechanism of action of EZH2 inhibitors and provide a mechanistic basis for potential combination cancer therapies.Entities:
Keywords: DNA damage repair; EZH2 inhibitors; cancer therapy; mechanism of drug action
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Year: 2022 PMID: 35031563 PMCID: PMC8784159 DOI: 10.1073/pnas.2105898119
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205
Fig. 1.EZH2 inhibitors showed potent inhibitory effects in prostate cancer cells, especially the castration-resistant ones. (A) Workflow of CRISPR knockout screens in LNCaP and abl cells. (B) Differential gene essentiality represented by difference of beta (β) scores between abl and LNCaP [β (abl) − β (LNCaP)]. Positions of representative genes were indicated by red dots. (C) IC50 values of two EZH2 inhibitors in prostate normal and cancer cell lines after 6 d of treatment. ADPC, androgen-dependent prostate cancer. (D and E) Effects of EZH2 inhibitors on cell growth in abl (D) and LNCaP (E). (F and G) Growth curves of xenograft tumors in castrated nude mice injected with CWR22Rv1 cells receiving vehicle (Veh) or EZH2 inhibitors (F, GSK126; G, EPZ-6438).
Fig. 2.EZH2 inhibitors down-regulated a large number of genes in sensitive CRPC cells. (A) KEGG pathways overrepresented in genes that were significantly down-regulated by EZH2 inhibitors in abl cells. FDR, false discovery rate. (B) Heat map of differential gene expression (Log2-transformed fold changes) induced by EZH2 inhibitors (GSK [EPZ] vs. DMSO) or EZH2 knockdown (siEZH2 vs. siCtrl) in abl cells. Gene expression profiling upon silencing EZH2 was retrieved from our prior work (15). (C) Heat maps of RT-qPCR results showing expression changes of selected genes in C4-2B, LAPC4-CR, and LNCaP-AI treated with DMSO or 5 μM EZH2 inhibitors for 72 h. (D and E) mRNA (D) and protein (E) levels of selected genes in xenograft tumor tissues from mice receiving vehicle (Veh) or EZH2 inhibitors. Numbers in E are triplicates of tissue samples.
Fig. 3.Genetic mutations of EZH2 conferred resistance to EZH2 inhibitors. (A) Western blot in abl cells where the endogenous EZH2 was replaced with the empty vector control (Vector), the wild-type (WT), or mutant (Y111D or Y661D) EZH2 after incubation with 5 μM EZH2 inhibitors for 72 h. (B) IC50 values of two EZH2 inhibitors in abl cells as described in A upon treatment for 6 d. (C) Growth of abl cells as described in A in the presence of 1 μM EZH2 inhibitors. (D) Heat map showing expression changes of indicated genes in abl cells as described in A after incubation with 5 μM EZH2 inhibitors for 3 d.
Fig. 4.Reduction in H3K27 trimethylation levels did not dictate the action of EZH2 inhibitors in prostate cancer cells. (A) Western blot in prostate cell lines after treatment with 1 or 5 μM EZH2 inhibitors for 3 d. (B) Scatter plots of H3K27me3 peak signals, normalized with the SPIKE-IN epigenome, in abl and DU145 cells after treatment with 5 μM EZH2 inhibitors for 3 d. Each dot represents one H3K27me3 peak called under the DMSO treatment condition. (C) Comparison of EZH2 inhibitor-induced changes of H3K27me3 levels between abl and DU145 cells after SPIKE-IN normalization. F.C., fold change. (D) ChIP-qPCR of H3K27me3 in abl cells treated with 5 μM EZH2 inhibitors. Promoters of KIAA0066 and PPIA, negative controls (15); (Right) immunoblotting in ChIP samples. (E) SPIKE-IN normalized changes of H3K27me3 peak signals upon EZH2 inhibitor treatment at the gene body regions of EZH2-repressed (n = 75), -activated (n = 147), or -unregulated (nondifferential, n = 12,659) genes. F.C., fold change.
Fig. 5.Methylation of FOXA1 and TAD-P300 interaction both contribute to the direct transactivation of the DDR genes by EZH2. (A–D) Immunoblotting (A and C) and expression of selected genes (B and D) in abl cells where the endogenous FOXA1 (A and B) or EZH2 (C and D) was replaced with the wild-type protein or the indicated mutant form [FOXA1-K295RR with a single point mutation K295R (19); EZH2-TAD2AR with F171A/F224A double point mutations (20)]. DNA constructs expressing FOXA1 and EZH2 are V5- and myc-tagged, respectively, which contain synonymous substitutions rendering resistance to corresponding short hairpin RNAs (shRNAs). In B and D, cells were treated with 5 µM GSK126 for 72 h. (E) Percentages of genes containing EZH2_solo (EZH2 peaks with no or low H3K27me3 signals, n = 4,603) or EZH2_ensemble (EZH2 peaks with high H3K27me3 signals, n = 22,042) within ±1 kb of their transcriptional start sites. These two types of EZH2 peaks were retrieved and defined in our prior work (15). Blue bars, n = 119 (27 bound by EZH2_solo and 1 by EZH2_ensemble); rose red bars, n = 23,517 (3,110 bound by EZH2_solo and 2,397 by EZH2_ensemble). The P values were calculated using Fisher’s exact test. (F and G) Spearman correlation among peak intensities (F) and ChIP-seq signals (G) of specified factors within 20 kb upstream from the transcriptional start sites of DDR genes in abl cells. (H) ChIP-qPCR of indicated factors in LNCaP and abl cells treated with 5 µM GSK126 for 72 h. Promoter region of GAPDH serves as a negative control.
Fig. 6.DNA repair was crucial for the biological effects of EZH2 inhibitors in prostate cancer. (A) Workflow of CRISPR-Cas9 knockout screens in LNCaP and abl cells incubated with 1 µM GSK126 for 4 wk. (B) Gene set enrichment analysis (GSEA) of genes with positive Δβ, defined as [β (GSK126) − β (DMSO)], in abl cells. (C) The Δβ scores for each gene in the BER pathway in LNCaP and abl cells. (D) Heat map showing the mean expression (Log2-transformed) of genes involved in each DNA repair pathway in primary (n = 131) and metastatic (n = 19) prostate cancer (25). (E) Correlation between expression of EZH2 and the mean expression of DNA repair genes in the same prostate cancer (PCa) cohort as used in D (25). Each dot represents a clinical sample. (F) Correlation between the expression of indicated genes and EZH2 dependency or sensitivity to EZH2 inhibitor in solid tumor cells expressing wild-type EZH2. EP300 is significantly correlated with EZH2 dependency (P = 0.003) and EZH2i sensitivity (P = 4E-5). P values were determined by Spearman correlation. EZH2 dependency was calculated using the CERES score in DepMap data (27); the more negative, the more essential. Cellular sensitivity to EZH2 inhibitor (BRD, BRD-K62801835-001-01-0) was calculated using the sensitivity score in CTRP data (28); the more positive, the more sensitive. Gray dots, 500 randomly chosen genes.
Fig. 7.EZH2 inhibitor induced unrepaired single-strand DNA damage that ultimately triggered DSBs. (A) Change of the abasic (AP) sites (relative to day 0) in abl cells treated with 5 µM GSK126. (B) Western blot in the nuclear extracts from abl cells treated with 5 µM GSK126. (C and D) Representative images (C) and quantification (D) of γH2AX foci in abl cells treated with 5 µM GSK126. Immunofluorescence staining was performed using anti-γH2AX antibody (red) and DNA was stained with DAPI (blue). In C, the yellow arrowhead points to a cell with pan-nuclear γH2AX staining. In D, data are presented as the average percentages of cells with a solid γH2AX nuclei staining in at least 150 random microscopic views. (Scale bar in C, 10 μm.) (E) Lines merging the average fold change of AP sites relative to day 0 (blue line) and the average percentages of cells with pan-nuclear γH2AX staining (pink line) in abl cells with 5 µM GSK126 treatment.
Fig. 8.EZH2 inhibitors enhanced sensitivity of prostate cancer cells to DNA damage agents. (A–C) Alkaline comet assays in abl (A), LNCaP (B), and DU145 (C) pretreated with 5 µM GSK126 for 7 d and then exposed to IR followed by recovery for 4 h. (D) Growth of abl cells treated with 0.5 µM GSK126, 1 µM Olaparib, or both (GSK+Olaparib). *P < 0.05; **P < 0.01. (E) Synergistic effect of EZH2 inhibitor and PARP inhibitor in LNCaP and abl cells incubated with various doses of GSK126 and olaprib for 7 d. A matrix for synergy score was calculated (56).
Fig. 9.Levels of DDR genes predict cellular responses to EZH2 inhibitors in multiple types of solid tumors that contain no mutations of EZH2. (A and B) Correlation between EZH2 expression and the mean expression of DDR genes in cancer cells from CCLE data (45) (A) or in patient samples from TCGA (46) (B). Each dot represents one cell line (A) or one cancer type (B). (C and D) Association between the mean expression of DDR genes and sensitivity to EZH2 inhibitor (C) or EZH2 dependency (D) in the indicated types of solid tumor cells expressing wild-type EZH2. Sensitivity to EZH2 inhibitor (BRD) and EZH2 dependency were derived from CTRP compound screen data (28) and DepMap CRISPR-Cas9 knockout screening data (27), respectively.