Jordan S Shafran1,2, Naser Jafari1, Allison N Casey1,3, Balázs Győrffy4,5, Gerald V Denis6,7,8. 1. Boston University-Boston Medical Center Cancer Center, Boston, MA, 02118, USA. 2. Department of Molecular and Translational Medicine, Boston University School of Medicine, Boston, MA, 02118, USA. 3. Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA. 4. Department of Bioinformatics and 2nd Department of Pediatrics, Semmelweis University, Budapest, 1094, Hungary. 5. TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Budapest, 1117, Hungary. 6. Boston University-Boston Medical Center Cancer Center, Boston, MA, 02118, USA. gdenis@bu.edu. 7. Department of Molecular and Translational Medicine, Boston University School of Medicine, Boston, MA, 02118, USA. gdenis@bu.edu. 8. Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, 02118, USA. gdenis@bu.edu.
Abstract
BACKGROUND: Androgen deprivation therapies for the hormone-dependent stages of prostate cancer have become so effective that new forms of chemoresistant tumors are emerging in clinical practice, and require new targeted therapies in the metastatic setting. Yet there are important gaps in our understanding of the relevant transcriptional networks driving this process. Progression from localized to metastatic castration resistant prostate cancer (mCRPC) occurs as a result of accumulated resistance mechanisms that develop upon sustained androgen receptor (AR) suppression. Critical to this progression is the plastic nature by which prostate tumor cells transition from epithelial to mesenchymal states (EMT). METHODS: Here, using prostate cancer cell lines with different AR composition, we systematically manipulated somatic proteins of the Bromodomain and ExtraTerminal (BET) family (BRD2, BRD3, and BRD4) to determine which BET proteins influence EMT. We used the TCGA repository to correlate the expression of individual BET genes with key EMT genes and determined biochemical recurrence in 414 patients and progression free survival in 488 patients. RESULTS: We found that only BRD4-and not BRD2 or BRD3-regulates the expression of SNAI1 and SNAI2, and that the downregulation of these EMT transcription factors significantly increases E-cadherin expression. Furthermore, of the BET genes, only BRD4 correlates with survival outcomes in prostate cancer patients. Moreover, selective degradation of BRD4 protein with MZ1 ablates EMT (transcriptionally and morphologically) induced by TGFß signaling. CONCLUSIONS: Many relapsed/refractory tumors share a neuroendocrine transcriptional signature that had been relatively rare until highly successful antiandrogen drugs like abiraterone and enzalutamide came into widespread use. New therapeutic targets must therefore be developed. Our results identify key EMT genes regulated by BRD4, and offers a novel druggable target to treat mCRPC. BRD4-selective protein degraders offer a promising next generation approach to treat the emerging forms of chemoresistance in advanced prostate cancer.
BACKGROUND: Androgen deprivation therapies for the hormone-dependent stages of prostate cancer have become so effective that new forms of chemoresistant tumors are emerging in clinical practice, and require new targeted therapies in the metastatic setting. Yet there are important gaps in our understanding of the relevant transcriptional networks driving this process. Progression from localized to metastatic castration resistant prostate cancer (mCRPC) occurs as a result of accumulated resistance mechanisms that develop upon sustained androgen receptor (AR) suppression. Critical to this progression is the plastic nature by which prostate tumor cells transition from epithelial to mesenchymal states (EMT). METHODS: Here, using prostate cancer cell lines with different AR composition, we systematically manipulated somatic proteins of the Bromodomain and ExtraTerminal (BET) family (BRD2, BRD3, and BRD4) to determine which BET proteins influence EMT. We used the TCGA repository to correlate the expression of individual BET genes with key EMT genes and determined biochemical recurrence in 414 patients and progression free survival in 488 patients. RESULTS: We found that only BRD4-and not BRD2 or BRD3-regulates the expression of SNAI1 and SNAI2, and that the downregulation of these EMT transcription factors significantly increases E-cadherin expression. Furthermore, of the BET genes, only BRD4 correlates with survival outcomes in prostate cancerpatients. Moreover, selective degradation of BRD4 protein with MZ1 ablates EMT (transcriptionally and morphologically) induced by TGFß signaling. CONCLUSIONS: Many relapsed/refractory tumors share a neuroendocrine transcriptional signature that had been relatively rare until highly successful antiandrogen drugs like abiraterone and enzalutamide came into widespread use. New therapeutic targets must therefore be developed. Our results identify key EMT genes regulated by BRD4, and offers a novel druggable target to treat mCRPC. BRD4-selective protein degraders offer a promising next generation approach to treat the emerging forms of chemoresistance in advanced prostate cancer.
Prostate cancer is the most commonly diagnosed cancer in men and over 90% of
prostate cancer-associated mortality is caused by the development of metastases
(1,2). Second generation anti-androgen therapies abiraterone and enzalutamide
(ADT) remain the standard of care for men with advanced prostate cancer and are
initially quite effective in suppressing both androgen production and androgen
receptor (AR) signaling, yet disease progression to castration-resistance prostate
cancer (CRPC) remains inevitable (2,3). While resistance mechanisms that include
AR gene amplification, gain-of-function AR point mutations and
complete loss of AR expression are critical for prostate tumor cells to overcome
sustained AR suppression, emerging evidence suggests that the transition from an
epithelial to mesenchymal state is an additional adaptive evolutionary response that
creates an environment suitable for therapeutic resistance (4).The epithelial-mesenchymal transition (EMT) is a normal biological process
active during embryogenesis that is often reactivated in cancer cells (2,5,6). Upon induction, non-motile epithelial cells
break away from intracellular tight junctions and acquire a mesenchymal phenotype
that creates a highly mobile and invasive cell (2,5,6). On a molecular level, EMT is initiated by several families of
transcription factors, including SNAI1 (Snail), SNAI2 (Slug) and ZEB1/2, which
repress the expression of E-cadherin (CDH1) and other epithelial
genes by docking to several E-boxes in the promoter region (2,5,6). Recent studies demonstrated that derepression of
Snail is an adaptive response to AR inhibition and is a critical resistance
mechanism in CRPC (4,7). Therefore, the discovery of druggable targets that
work by suppressing EMT mediators such as Snail, irrespective of AR status, are
highly desirable.The Bromodomain and ExtraTerminal (BET) family of proteins (BRD2, BRD3, BRD4
and testis-specific BRDT), are epigenetic readers that bind to specific acetylated
lysine residues in histones as a means to regulate gene transcription (8). Having been identified as key contributors
to the progression of B-cell lymphoma, lung, breast, pancreatic and prostate
cancers, intense efforts have been spent towards developing multiple small molecule
pan-BET inhibitors and degraders (8). While
pan-BET therapies such as JQ1 and ARV-771 effectively downregulate the
proto-oncogene c-Myc in variety of cancer models, including CRPC
(9–11), evidence continues to suggest that the efficacy for a pan-BET
approach is dependent upon the context and the cancer. As we have shown in multiple
reports in a variety of breast and prostate cancer models, BET proteins modulate
distinct signaling pathways, including those that regulate EMT, and can even have
non-overlapping and opposing functions (12–14). Here, we deepen
and extend findings in the field to show that only BRD4, and not BRD2 or BRD3,
regulates CRPC dissemination, and to show that BRD4 regulates genes critical for the
induction of EMT in CRPC, which can be ablated with a BRD4-selective protein
degradation approach.
Materials and Methods
Cell Culture
22Rv1 and DU 145prostate cancer cell lines were cultured in RPMI-1640
medium (Gibco). VCaP prostate cancer cells were cultured in DMEM medium (Gibco).
All culture media were supplemented with 10% fetal bovine serum (FBS, Corning)
and 1% antibiotics (penicillin/streptomycin, Gibco). Additional information is
available in a Supplementary
File.
Antibodies and Reagents
The following antibodies were used: anti-BRD2, BRD3 and BRD4 (Bethyl
Laboratories), anti-Snail, anti-Slug, anti-E-cadherin, anti-Smad3,
anti-β-Actin (Cell Signaling) and anti-phospho-Smad3 (Abcam). Additional
information is available in a Supplementary File.
Plasmids, siRNAs and Transfection
Lentivirus-mediated eGFP-BRD4 expressing plasmid (EX-E0102-Lv122) and
control vector (EX-NEG-Lv242) were purchased from GeneCopoeia. ON-Targetplus
HumanBET and Non-Targeting (scramble) SMARTpool siRNAs were purchased from
Dharmacon. Additional information is available in a Supplementary File.
Immunoblotting
Cell pellets were lysed in RIPA buffer (50 mmol/L Tris/HCl pH 7.5, 1
mmol/L EDTA, 0.5 mmol/L EGTA, 150 mmol/L NaCl, 0.1% sodium deoxycholate, 0.1%
SDS, 1% Triton X-100). Samples containing 25 μg of protein were resolved
by SDS-PAGE and transferred to nitrocellulose membranes. Additional information
is available in a Supplementary File.
qRT-PCR
Total RNA was extracted using the RNAeasy Kit (Qiagen). Reverse
transcription reactions were performed with 1 μg of total RNA with the
QuantiTect Reverse Transcription kit (Qiagen). Primer sequences are described in
a Supplementary
File.
Chromatin Immunoprecipitation
DU 145 cells were treated with 400 nM of either (−)JQ1 or (+)JQ1
for 24 hours, fixed in 0.75% formaldehyde for 10 minutes, quenched with 125 mM
glycine for 5 minutes and then lysed for chromatin immunoprecipitation (ChIP) as
previously reported (14,15). Additional information and primer sequences are
described in a Supplementary
File.The ChIP-seq dataset GSE55062 (16) was taken from the NCBI Gene Expression Omnibus database and
visualized using Integrative Genomics Viewer (IGV) (17).
Immunocytochemistry
Cells were fixed in absolute methanol for 5 minutes at - 20°C and
then permeabilized with PBS, 0.2% Triton X-100 buffer for 10 minutes. After
saturation in blocking buffer (0.02% Triton X-100, 2% BSA in PBS) for 30
minutes, permeabilized cells were incubated with primary antibodies and then
fluorochrome-conjugated secondary antibodies (diluted in blocking buffer) for 1
hour. Additional information is available in a Supplementary File.
Flow Cytometry
Details are available in a Supplementary File and in Supplementary Table
S1.
Kaplan-Meier Analysis
To investigate the correlation between biochemical recurrence-free
survival (BCR), progression free survival (PFS) and BRD4, SNAI1, SNAI2
and CDH1 expression, we utilized data from 414 (BCR) and 488 (PFS)
prostate cancerpatients from the TCGA repository. The normalized expression
values of the RNAseq ID 23476 (for BRD4), 6615 (for SNAI1), 6591 (for SNAI2) and
999 (for CDH1) were used. For each gene, we first computed the mean expression
and this value was used in the survival analysis. To maximize the sensitivity to
detect correlation to survival, each cutoff value between the lower and upper
quartiles of expression were evaluated as described previously (14,18).
Additional information is available in a Supplementary File. The gene
expression data and survival times are listed in Supplementary Tables S2 and S3.
Statistical Analysis
Statistical analyses of the in vitro experiments were
performed using Student’s t test or ANOVA as indicated,
and were generated by GraphPad Prism software. p < 0.05
was considered statistically significant.
Results
BRD4 regulates transcription factors critical for EMT
We previously established that BRD4 plays a significant role in the
regulation of CRPC cell migration and invasion (14). As part of that work we profiled 73 genes involved in pathways
important for EMT, and discovered that knockdown of BRD4 significantly
downregulated the expression of AHNAK (14). In addition to AHNAK, the
findings also suggested that multiple transcription factors known to facilitate
transcriptional programs critical for EMT, including members of the Snail family
(SNAI1/Snail and SNAI2/Slug)c, were under
BET-protein control (14). To investigate
whether BET-proteins regulate Snail and Slug expression, we first treated 22Rv1
(AR-H874Y) and DU 145 (AR-null) and cells for 24 hours with the pan-BET
inhibitor JQ1 (Fig. 1A–B). We found that JQ1 treatment led to the
significant downregulation of both Snail and Slug. Interestingly, we also found
that pan-BET inhibition caused a slight reduction in the expression of
E-cadherin in both cell lines. Snail and Slug are zinc-finger transcription
factors and work to induce EMT by repressing the expression of adhesion
molecules like E-cadherin (2,5,6).
Therefore, we considered that pan-BET inhibition may obscure the influence that
each BET protein has on regulating EMT. To resolve this, we measured the mRNA
and protein expression of Snail, Slug and E-cadherin upon depletion of either
BRD2, BRD3 and BRD4 in 22Rv1, DU 145 and VCaP (AR-WT/Amp) cells (Fig. 1C–D
and Supplementary Fig.
S1A–C). In all three cell lines, the knockdown of only BRD4 – and not
of BRD2 or BRD3 – significantly reduced the expression of Snail and Slug
at both the mRNA and protein level. Intriguingly, E-cadherin expression was
significantly increased at the mRNA (VCaP and DU 145) and protein level (DU 145)
upon BRD4 depletion, yet only marginally increased under the same conditions in
22Rv1 cells.
Figure 1.
BRD4 regulates transcription factors critical for EMT
(A-B), Protein expression of BET proteins: BRD2, BRD3 and
BRD4, EMT transcription factors: Snail and Slug and EMT marker: E-cadherin in
22Rv1 and DU 145 cells after being treated with either 400 nM of (–)JQ1
or (+)JQ1 for 24 hours. Blots shown are representative of two independent
experiments.
(C-D), Validation of BET depletion by siRNA (25 nmol/L for
72 hours) and protein expression of Snail, Slug and E-cadherin in 22Rv1 and DU
145 cells. Blots shown are representative of three independent experiments.
(E-F), Validation of BRD4 overexpression and protein
expression of Snail, Slug and E-cadherin in 22Rv1 and DU 145 cells. Blots shown
are representative of three independent experiments.
(G-H), Protein expression of BET proteins: BRD2, BRD3 and
BRD4, EMT transcription factors: Snail and Slug and EMT marker: E-cadherin in
22Rv1 or DU 145 cells after being treated with either 0.01% DMSO (control), 10
nM MZ1 (22Rv1) or 100 nM MZ1 (DU 145) for 24 hours. Blots shown are
representative of three independent experiments.
To further determine whether BRD4 regulates this EMT gene set, we
overexpressed BRD4 in 22Rv1 and DU 145 cells (Fig.
1E–F). Importantly, we
found that overexpression of BRD4 in each cell line dramatically increased the
expression of Snail and Slug and likewise significantly reduced the expression
of E-cadherin (Fig. 1E–F and Supplementary Fig. S2A and S2B). These data support
the idea that BRD4 is responsible for driving EMT in CRPC, and therefore any
approach that involves targeting BET proteins as a means to repress EMT should
focus on only BRD4. Thus, we tested whether MZ1, a BRD4-selective degrader built
on Proteolysis Targeted Chimera (PROTAC) technology (19), could repress Snail and Slug while enhance
E-cadherin expression (Fig. 1G–H). As predicted, treatment of 22Rv1 and DU
145 cells with a BRD4-selective doses of MZ1 for 24 hours reduced the expression
of both Snail and Slug and modestly increased the expression of E-cadherin.
Collectively, these results identify BRD4, and not BRD2 or BRD3, as a key
transcriptional regulator of EMT, and once again illustrates how the use of
pan-BET inhibitors can obscure BET protein functionality.
Selective degradation of BRD4 represses TGFß induced EMT
The induction of EMT in tumor cells is thought to primarily occur
through the uptake of secreted soluble factors from nearby stromal cells leading
to the activation of tumor cell signaling pathways/EMT transcriptional mediators
(2,5,6). Transforming growth
factor ß (TGFß) is a multifunctional cytokine and a strong
promoter of EMT and metastases in advanced prostate cancer (2,20). To
determine whether BRD4 maintains its ability to regulate EMT in the presence of
TGFß, we measured the expression of Snail and Slug in 22Rv1 and DU 145
cells treated with either TGFß, MZ1 or MZ1 + TGFß (Fig. 2A–B). Cells stimulated with TGFß for 24 hours showed a significant
increase in Snail and Slug expression. More importantly, loss of BRD4 as a
result of MZ1 treatment prevented the increase of Snail and Slug that was
observed upon TGFß stimulation. Next, we immunostained both cell lines to
measure E-cadherin and detect any morphological/phenotypical changes under the
aforementioned conditions (Fig.
2C–D). Both 22Rv1 and DU
145 cells are characterized as epithelial and cuboidal in shape (21), and when grown as a monolayer they express
moderate levels of E-cadherin at tight junctions as shown in the control cells.
As expected, TGFß treated cells had reduced expression of E-cadherin,
coupled with a flatter, more spindle-like morphology consistent with a
mesenchymal phenotype. Alternatively, cells treated with MZ1 had a significant
increase of E-cadherin expression along tight junctions, as observed by their
enhanced cuboidal shape. Critically, cells treated with both MZ1 and TGFß
maintained their cuboidal shape, indicating that the loss of BRD4 conserves the
expression of E-cadherin even in the presence of TGFß. Taken together,
these results indicate that degradation of BRD4 successfully prevents the
transition of prostate cancer cells from an epithelial state to a mesenchymal
state.
Figure 2.
Selective degradation of BRD4 represses TGFß induced EMT
(A-B), Protein expression of Snail and Slug in 22Rv1 and DU
145 cells after being treated with either 0.01% DMSO, 5 ng/mL TGFß, 10 or
100 nM MZ1 or 5 ng/mL TGFß + 10 or 100 nM MZ1 for 24 hours. Blots shown
are representative of three independent experiments.
(C-D), Immunofluorescence images showing the expression of
E-cadherin in 22Rv1 and DU 145 cells after being treated with either 0.01% DMSO,
5 ng/mL TGFß, 10 or 100 nM MZ1 or 5 ng/mL TGFß + 10 or 100 nM MZ1
for 24 hours. E-cadherin is stained in red and nuclei is stained in blue with
DAPI in the merged images (lower panels). Scale bar, 100 μm.
Quantification of E-cadherin immunofluorescence reflected as a percentage of
relative fluorescence intensity (%RFI). Bar represents means ± SEM of
individual cells (n ≥ 100 (22Rv1) or 350 (DU 145) in all conditions).
Results from two independent experiments are shown. Statistical analyses were
performed using a one-way ANOVA. Significant differences: ns, nonsignificant,
P > 0.05; ***, p <
0.001.
BRD4 mediates SNAI1 and SNAI2 expression
through promoter interactions
We next considered that BRD4 may regulate SNAI1 and
SNAI2 expression at the receptor level by mediating the
activation of Smad3. Likewise, SNAI1 and SNAI2
have previously been shown to be targets of EMT induced through
TGFß-Smad3 signaling in prostate cancer (5,22). To test this
hypothesis, we measured the phosphorylation of Smad3 in DU 145 cells treated
with MZ1 and dosed with TGFß (Fig.
3A). Degradation of BRD4 had no effect on Smad3 phosphorylation at
either 30 minutes or 1 hour of TGFß stimulation compared to control
cells, implying that the regulation exerted by BRD4 occurs directly at the
promoter regions of SNAI1 and SNAI2. To
address this, we determined if BRD4 associates with the SNAI1
and SNAI2 promoters by ChIP in DU 145 cells (23,24). We
found that BRD4 engages with both the SNAI1 and
SNAI2 promoters, and treatment with (+)JQ1 disrupts these
interactions (Fig. 3B). Furthermore, we
also probed a public repository for ChIP-sequencing data on BRD4 in VCaP cells
(GSE55062) (16). BRD4 was detected with
RNA Pol II at the promoters for SNAI1 and
SNAI2, and notably was displaced upon JQ1 treatment (Fig. 3C). Altogether, these results confirm
that BRD4 mediates SNAI1 and SNAI2 expression
at the transcriptional level.
Figure 3.
BRD4 mediates SNAI1 and SNAI2 expression
through promoter interactions
A, Immunoblot of phospho-Smad3 (pSmad3) and Smad3 in DU145
cells treated with either 0.01% DMSO or 100 nM MZ1 for 21 hours, serum starved
for 2 hours under the same conditions and then dosed with 5 ng/mL TGFß
for the indicated time. The ratio of pSmad3:Smad3 illustrates Smad3 activation
and quantifications are relative to control. Blots shown are representative of
two independent experiments.
B, DU 145 cells treated with either 400 nM of (–)JQ1
or (+)JQ1 for 24 hours and then harvested for ChIP. BRD4 interacts with the
SNAI1 and SNAI2 promoters and is displaced
upon exposure to (+)JQ1. Results from two independent experiments are shown.
Statistical analyses were performed using the Student’s t test.
Significant differences: ns, nonsignificant, P > 0.05;
*.
C, Publicly available ChIP-seq datasets performed on DHT or
DHT + JQ1-treated VCaP cells were analyzed for the binding of BRD4 and RNA Pol
II at the SNAI1 and SNAI2 locus. The analyzed
datasets are accessible on the GEO platform (GSE55062 (16)). Data visualization was performed using
Integrative Genomics Viewer (IGV).
BRD4 expression correlates with SNAI1 and
survival outcomes in prostate cancer patients
The individual expression of BRD4, Snail, Slug and E-cadherin have all
previously been shown to independently associate with prostate cancer disease
states and patient outcomes (25–27). Since we
determined that BRD4, and not BRD2 or
BRD3 expression correlates with SNAI1,
SNAI2 and CDH1 in our cell lines, we
considered whether these genes would associate in the same manner in prostate
cancerpatients and likewise influence survival outcomes. Using the TCGA
repository, we compared the expression of BRD2,
BRD3 and BRD4 to SNAI1
and found that only BRD4 had a positive correlation with the
gene (Fig. 3A (28)). Next, we performed a meta-analysis of 414 (BCR)
and 488 (PFS) patients with adenocarcinoma of the prostate, and determined that
BRD4, SNAI1, SNAI2 and
CDH1 expression correlates with BCR-free survival and
Progression-free survival (Fig. 3B). High
expression of BRD4, SNAI1, SNAI2 and low
expression of CDH1 significantly associated with a shorter time
to BCR in prostate cancerpatients (HR = 1.72, log-rank p =
0.047). Likewise, the same expression profile correlated with time to PFS (HR =
1.95, log-rank p = 0.0019). Notably, when substituting either
BRD2 or BRD3 for BRD4, or
when removing BRD4 from this gene set, the expression profile
no longer significantly associated with time to BCR (Supplementary Fig. S3). Overall,
these results demonstrate that the expression of BRD4, but not
BRD2 or BRD3, significantly correlates
with this EMT gene set and dramatically influences survival outcomes in prostate
cancerpatients.
Discussion
Our results show that BRD4, and not BRD2 or BRD3, positively regulates key
transcriptional mediators of EMT in multiple prostate cancer cell lines of varying
AR composition (Fig. 1 and Supplementary Fig. S1–S2). These findings build
upon and support our previous work which showed that selective targeting of BRD4
dramatically impedes prostate cancer cell migration and invasion (14). The discoveries outlined throughout this study were
realized only after knocking down each BET family member, as treatment of prostate
cancer cells with JQ1 revealed a critically different EMT expression profile (Fig. 1A–D). Whereas silencing or overexpressing BRD4 reduced/enhanced the
expression of Snail and Slug, and conversely enhanced/reduced the expression of
E-cadherin, JQ1 consistently downregulated the expression of all three genes (Fig. 1A–F). These results imply that the collective inhibition of BRD2, BRD3 and
BRD4 turns on or off multiple off-target transcriptional networks, given that
multiple studies have previously shown that E-cadherin expression is inversely
correlated with Snail and Slug expression (2,4,5). This concept was confirmed when treating cells with MZ1 produced a
comparable EMT expression profile to cells that were treated with siRNA specific to
BRD4 (Fig. 1G–H).Because MZ1 phenocopied the EMT expression profile that was generated when
using siRNA against BRD4, it was important to determine whether MZ1 could prevent
prostate cancer cells from transitioning to a mesenchymal state when exposed to
conditions that mimicked the tumor microenvironment (Fig. 2) (2,20). Remarkably, MZ1 prevented Snail and Slug expression
from increasing in TGFß stimulated prostate cancer cells (Fig. 2A–B). By
limiting the expression of Snail and Slug under TGFß stimulation, prostate
cancer cell architecture remained undisturbed. Evidence to support this finding was
robust, as E-cadherin expression remained strong along tight junctions when exposed
to MZ1 + TGFß (Fig. 2C–D). We confirmed that the regulation of Snail and
Slug by BRD4 occurs at the transcriptional level, as ChIP analysis showed BRD4
localization at both the SNAI1 and SNAI2 promoters
(Fig. 3B–C). Moreover, the loss of BRD4 did not impact Smad3
activation (Fig. 3A). These results were
unexpected given that we previously showed that BRD4 directly regulates AHNAK, and
AHNAK has been shown to serve as a necessary scaffolding protein for
TGFß-Smad3 phosphorylation (29).
Therefore, we can now say that the loss of BRD4 disengages key transcriptional
machinery at BRD4-specific promoters, many of which directly influence EMT,
including SNAI1, SNAI2 and AHNAK. This disruption
enhances the expression of certain epithelial markers such as E-cadherin, which
shifts prostate cancer cells into an elevated epithelial state and severely impairs
cell motility and invasiveness (14).Finally, we also show that only BRD4 positively correlates
with SNAI1 as well as survival outcomes in patients with advanced
prostate cancer (Fig. 4A–B and Supplementary Fig. S3). The BRD4-SNAI1 relationship is
critical for EMT and metastasis across diverse malignancies (30), as recently reported for gastric (31) and lung cancers (32). Our findings illustrate once again the paramount significance of
BRD4, compared to BRD2 and BRD3, in the context of prostate cancer progression. Yet,
the overwhelming majority of BET protein therapeutic agents in clinical trials,
including studies that have mCRPC patients, are pan-BET inhibitors (33). Considering the functional opposition of BRD2 and
BRD4 in other transcriptional contexts important for EMT, such as in ER+ breast
cancer, pan-BET inhibitors carry unappreciated dangers in cancer clinical trials
(34).
Figure 4.
BRD4 expression correlates with SNAI1 and
survival outcomes in prostate cancer patients
A, Comparison of BRD2,
BRD3, BRD4 and SNAI1
expression in prostate cancer patient clinical samples by linear regression.
Spearman rank correlation, p value and total number of
individuals indicated.
B, Kaplan-Meier curve of biochemical recurrence-free
survival and progression free survival of 414 (BCR) and 488 (PFS) prostate
cancer patients was calculated from the TCGA database. Patients were segregated
into cohorts with ‘low expression’
(BRD4low,
SNAI1,
SNAI2 and
CDH1) and ‘high
expression’ (BRD4high,
SNAI1,
SNAI2 and
CDH1). Hazard ratio and
p value are indicated.
In diverse cancer types, including prostate cancer, EMT defines a
transcriptional phenotype associated with lineage plasticity, increased cancer
stem-like cell formation and the emergence of chemoresistance. An unsurprising
consequence of the clinical success of antiandrogen drugs like abiraterone and
enzalutamide is the increased prevalence in the clinic of novel forms of advanced,
AR-independent prostate cancer with characteristic genomic and transcriptional
patterns (35), such as greater lineage
plasticity, EMT and neuroendocrine signatures (36,37). An effective response to
these clinical shifts demands creativity and resourcefulness to identify and develop
alternative therapies for emergent, chemoresistant tumors. However, progress will
continue to be hampered without properly defining which BET proteins are responsible
for regulating biological processes like EMT and metastasis across both AR-competent
and AR-deficient models of CRPC. In previous studies that focused on targeting BET
proteins as a means for treating CRPC, success was measured by determining how well
a pan-BET inhibitor or degrader diminished pro-proliferative markers like
c-Myc (10,11,38).
While c-Myc is a well-established BET target gene (39,40) and known
driver of prostate cancer cell proliferation (41), survival (41) and EMT (42), its attenuation by JQ1 is limited to
AR-competent CRPC cell lines (16). By not
identifying relevant BET proteins and targets across both AR-competent and
AR-deficient CRPC cell lines, investigators continue to give the false impression
that BET proteins are only viable for targeting in AR-competent settings (43). In summary, our findings (Fig. 5) underscore the need for targeted BRD4-selective
small molecules like MZ1 and warrant further exploration as a means for treating
patients with mCRPC.
Figure 5.
Visual overview of BRD4’s role in regulating EMT in CRPC
A, Graphic highlights BRD4 regulation of Snail and Slug
expression through its interaction with the SNAI1 and
SNAI2 promoter. Snail and Slug are shown to facilitate
migration and invasion through its ability to inhibit E-cadherin expression.
TGFß-Smad3 signaling works through BRD4 and drives EMT.
B, Illustration showing MZ1 selectively binding too and
degrading BRD4 through polyubiquitination and proteasome-dependent degradation.
As a result, BRD4 is unable to recruit co-activator proteins to the
SNAI1 and SNAI2 promoters and carry out
transcription of these genes. Lack of Snail and Slug enhances E-cadherin
expression, and as a result, EMT and cell migration and invasion are
inhibited.
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