Purpose:

Neuroendocrine prostate cancer (NEPC), an aggressive variant of castration-resistant prostate cancer (CRPC), often emerges after androgen receptor–targeted therapies such as enzalutamide or de novo, via trans-differentiation process of neuroendocrine differentiation. The mechanistic basis of neuroendocrine differentiation is poorly understood, contributing to lack of effective predictive biomarkers and late disease recognition. The purpose of this study was to examine the role of novel proneural Pit-Oct-Unc-domain transcription factors (TF) in NEPC and examine their potential as noninvasive predictive biomarkers.

Experimental Design: Prostate cancer patient-derived xenograft models, clinical samples, and cellular neuroendocrine differentiation models were employed to determine the expression of TFs BRN1 and BRN4. BRN4 levels were modulated in prostate cancer cell lines followed by functional assays. Furthermore, extracellular vesicles (EV) were isolated from patient samples and cell culture models, characterized by nanoparticle tracking analyses, Western blotting, and real-time PCR.

Results:

We identify for the first time that: (i) BRN4 is amplified and overexpressed in NEPC clinical samples and that BRN4 overexpression drives neuroendocrine differentiation via its interplay with BRN2, a TF that was previously implicated in NEPC; (ii) BRN4 and BRN2 mRNA are actively released in prostate cancer EVs upon neuroendocrine differentiation induction; and (iii) enzalutamide treatment augments release of BRN4 and BRN2 in prostate cancer EVs, promoting neuroendocrine differentiation induction.

Conclusions:

Our study identifies a novel TF that drives NEPC and suggests that as adaptive mechanism to enzalutamide treatment, prostate cancer cells express and secrete BRN4 and BRN2 in EVs that drive oncogenic reprogramming of prostate cancer cells to NEPC. Importantly, EV-associated BRN4 and BRN2 are potential novel noninvasive biomarkers to predict neuroendocrine differentiation in CRPC.

Translational Relevance

The emergence of neuroendocrine differentiation in castration-resistant prostate cancer (CRPC) poses significant clinical challenge as the survival rates are extremely poor. The molecular basis of this trans-differentiation process is poorly understood, contributing to a lack of robust molecular biomarkers for its diagnosis and prediction. This study identifies for the first time, BRN4 as a novel transcription factor (TF) that drives neuroendocrine differentiation in prostate cancer and interplays with a reported master neural TF, BRN2. Importantly, this study demonstrates that BRN4 and BRN2 mRNA are actively released in prostate cancer extracellular vesicles' (EV) upon neuroendocrine differentiation induction and that EV-associated BRN4 and BRN2 are potential novel noninvasive biomarkers to predict neuroendocrine differentiation in patients with CRPC.

Prostate cancer, a leading cause of male cancer-related mortality in the United States (1), is dependent on androgen receptor (AR) signaling. Therefore, ablation of AR signaling by androgen deprivation is the goal of first-line therapy (2) that initially results in cancer regression. However, 2–3 years after androgen deprivation in 25%–40% of cases, the disease develops into castration-resistant prostate cancer (CRPC) that has limited therapeutic options (3). Patients with CRPC are treated with AR pathway inhibitors (API) such as enzalutamide (MDV3100/ENZ) and abiraterone as a second-line of therapy that improves survival initially (2, 4). However, patients with CRPC develop drug resistance over a certain period owing to heterogeneous molecular mechanisms such as AR bypass signaling or complete AR independence (5, 6). A subset of API-resistant tumors undergo a reversible trans-differentiation process known as neuroendocrine differentiation, that is associated with altered expression of lineage markers such as decreased expression of AR and increased expression of neuroendocrine (NE) lineage markers including enolase 2 (ENO2), chromogranin A (CHGA), and synaptophysin (SYP; refs. 7, 8). Because of lack of AR signaling, these prostate cancer variants, referred to as neuroendocrine prostate cancer (NEPC), are impervious to antiandrogen therapy and constitute an aggressive variant of advanced CRPC with shorter survival times and limited therapeutic options (7). Although NEPC is thought to arise late in the disease course subsequent to treatment with enzalutamide and abiraterone, this variant can also arise de novo in metastatic CRPC (mCRPC) after primary docetaxel therapy or early on after API treatment (7–9). Furthermore, it is not clear whether therapy-induced neuroendocrine differentiation is the same disease as de novo small-cell prostate cancer that emerges from rare neuroendocrine cell populations in the prostate (10). NEPC variants are associated with the presence of visceral metastasis to liver, lung, and central nervous system, in addition to lytic bone metastases and low serum PSA levels relative to disease burden (7). The molecular mechanistic basis of neuroendocrine differentiation is poorly understood that contributes to lack of effective predictive biomarkers and late recognition of the disease. The genetic and epigenetic alterations underlying neuroendocrine differentiation has been investigated (11–15) recently that shows that these states are derived via clonal evolution from adenocarcinomas (11). The key genetic events driving this transition include loss of the tumor suppressors retinoblastoma (RB1), tumor protein 53 (TP53), phosphatase and tensin homolog (PTEN; refs. 11–15), frequent TMPRSS2-ERG gene rearrangements (14), EZH2 overexpression, and amplifications of NMYC and Aurora Kinase A (AURKA; refs. 11–13, 15). AURKA is a cell-cycle kinase that stabilizes N-Myc oncoprotein and prevents N-Myc degradation (12, 13, 16). Disruption of the molecular interaction between AURKA and N-Myc via a therapeutic agent alisertib is being examined as a therapeutic modality for NEPC (17) with promising results. Furthermore, the upregulation of Delta-like protein 3 (DLL3) has been reported in NEPC cases as compared with CRPC adenocarcinomas. In fact, DLL3 expression can be exploited for therapeutic targeting of NEPC by employing a humanized DLL3 antibody (18–20). Although these studies have characterized the key alterations driving neuroendocrine differentiation, we are still far from understanding the genetic alterations driving this transition.

POU (Pit-Oct-Unc)-domain/Oct proteins are a set of reprogramming transcription factors (TF) that are critical regulators of gene expression programs determining cellular identities and play important roles in neurogenesis (21–23). Out of six classes, class III POU genes (POU3F1/OCT6, POU3F2/BRN2, POU3F3/BRN1, and POU3F4/BRN4) are considered to be crucial for neurogenesis (24). POU3F2/BRN2 was recently reported as an AR-repressed, master neural TF that drives prostate cancer neuroendocrine differentiation by controlling SOX2 expression (25). BRN3a has also been reported to be upregulated with NEPC (26). However, the roles of other class III pro-neural TFs have not been unequivocally studied in prostate cancer. Here we report for the first time, that BRN4 is a novel driver of neuroendocrine differentiation states in CRPC. BRN4 (Brain4) is located on X chromosome and is involved in the patterning of the neural tube, paraventricular, and supraoptic nuclei of the hypothalamus in the developing embryo (27). BRN4 mutations have been linked to X-linked nonsyndromic deafness (28). However, its involvement in prostate cancer has never been studied.

Recently, extracellular vesicles (EV)/exosomes have emerged as key regulators of cancer progression and metastasis. Exosomes are small membranous EVs, typically between 30 and 150 nm in size, (29) that are gaining significant interest as alternate disease biomarkers. EVs can be detected noninvasively in biological fluids such as serum (30) and can be used as a liquid biopsy for prostate cancer (31–33). EVs mediate intercellular communication by transferring their cargo such as mRNA and proteins to recipient cells to modulate target cell functions (34, 35). We hypothesized that in addition to cell intrinsic genetic determinants of neuroendocrine differentiation, tumor exosomes/EVs (referred to as EVs subsequently) are important determinants that facilitate this trans-differentiation by mediating intercellular communication between cancer cells via horizontal transfer of functional neuronal factors. In this study, we validated our hypothesis and demonstrate for the first time that EV-mediated signaling is important for neuroendocrine differentiation induction via the release of BRN4 and BRN2 mRNA in prostate cancer EVs.

Cell lines and cell culture

Nonmalignant prostate epithelial cell line RWPE-1 and prostate cancer cell lines (LNCaP, Du145, PC3, C42B, and NCI-H660; ref. 36) were obtained from the ATCC and cultured under recommended conditions. All cell lines were maintained in an incubator with a humidified atmosphere of 95% air and 5% CO2 at 37°C. The experiments with cell lines were performed within 6 months of their procurement/resuscitation. Prostate cell lines were authenticated by DNA short-tandem repeat analysis. Cell lines were checked at periodic intervals for Mycoplasma contamination by DAPI staining.

Clinical samples

The study was conducted in accordance with ethical guidelines of U.S. Common Rule and was approved by the University of California San Francisco Committee on Human Research. Written informed consent was obtained from patients. Serum samples (0.5–1 mL) from patients with prostate cancer and deidentified clinical information were obtained from Prostate Cancer Biorepository Network and stored at −80°C till processed. Cohort included metastatic human CRPC clinical samples with adenocarcinoma features (CRPC-adeno) versus those with neuroendocrine features (CRPC-NE; Supplementary Table S1). CRPC-adeno included patients with no evidence of neuroendocrine differentiation, while CRPC-NE included AR patients with therapy-induced neuroendocrine differentiation with features of small-cell/large-cell neuroendocrine carcinoma. Follow-up information included prior therapies for all the clinical samples.

Isolation of EVs

Serum-derived EVs were isolated from 250–500 μL of serum using the Total Exosome Isolation Reagent (Life Technologies, catalog no. 4478360) as per the manufacturer's instructions and as described in (37). For isolation of EVs from cell culture media, cells were grown in recommended media with exosome-depleted FBS for 48 hours. Conditioned media were collected and EVs were isolated with Exosome Isolation Reagent (Life Technologies, catalog no. 4478359) as per the manufacturer's instructions.

Statistical analysis

All quantified data represents an average of triplicate samples or as indicated. All experiments with cell lines included at least three biological replicates. Data are represented as mean ± S.E.M or as indicated. Statistical significance between groups was assessed by Student t test. Mann–Whitney U test was used to assess the difference between mRNA expressions in independent test/control samples. Correlations between mRNA expression and clinicopathologic parameters were assessed using χ2 test. ROC curves were generated based on ΔCt values of test mRNA. Statistical analyses were performed using MedCalc version 10.3.2. Results were considered statistically significant at P ≤ 0.05.

POU-domain TFs, BRN1 and BRN4, are highly expressed in NEPC cell line models and enzalutamide-resistant cells

We hypothesized that multiple POU-domain TFs act in concert to promote prostate cancer neuroendocrine differentiation. To test our hypothesis, we examined the copy-number alterations (CNA) of these factors in patients with CRPC with adenocarcinoma (CRPC-adeno) and those with neuroendocrine features (CRPC-NE) by querying SUC2C/PCF Dream Team (38) and Beltran and colleagues (11) cohorts using cBioPortal (refs. 39, 40; Fig. 1A). We found that class III TFs are frequently altered in these cases, with BRN4 and BRN1 alterations (mostly amplifications) found in 11% and 4% of cases, respectively as compared with 5% in BRN2. Importantly, BRN4, BRN1, and BRN2 amplifications were present in approximately 20%, 9%, and 16% of CRPC-NE cases in these two cohorts, suggestive of a potential role of these genes in NEPC (Fig. 1A, bottom). While BRN4 amplifications were also significantly increased in CRPCs as compared with prostate adenocarcinomas, BRN2 and BRN1 amplifications were more prevalent in NEPC as compared with CRPC and prostate adenocarcinomas. Importantly, BRN2 alterations were found to significantly cooccur with BRN1 and BRN4 alterations suggesting that they may act in a concerted manner to drive neuroendocrine differentiation (Fig. 1A). Correlation analyses of CNAs with corresponding mRNA expression of these factors (Fig. 1B) showed that BRN4 mRNA is significantly positively correlated with BRN4 CNAs, while BRN2 mRNA showed an inverse correlation and BRN1 mRNA showed no significant correlation. Furthermore, we identified that BRN1 and BRN4 are upregulated upon enzalutamide treatment of prostate cancer cell lines and are associated with prostate cancer neuroendocrine differentiation (Fig. 1C–E). We examined the expression of BRN1 and BRN4 along with BRN2 in normal immortalized prostate epithelial cell line (RWPE-1), benign nontransformed prostate epithelial cell line (BPH1), and prostate cancer cell lines (PC3, Du145, LNCaP, and NCI-H660; Fig. 1C). Our analyses showed that similar to BRN2, BRN1 and BRN4 mRNA levels are specifically significantly upregulated in neuroendocrine cell line, NCI-H660 (36). We also examined the levels of these factors in an inducible neuroendocrine cell line model (Supplementary Fig. S1D). LNCaP cells were grown under androgen-depleted conditions by culturing in RPMI medium with 10% C/D FBS for 4 days. These conditions have been shown to induce neuroendocrine differentiation in LNCaP cells (41), following which cells were treated with DMSO/20 μmol/L enzalutamide for 48 hours. As a negative control, LNCaP cells grown under regular conditions (RPMI + 10% FBS) were included and positive control included NCIH660 cell line. Both androgen depletion by C/D FBS (middle) and enzalutamide treatment (right) led to induction of neuroendocrine morphology (Supplementary Fig. S1A) as assessed by phase contrast microscopy concomitant with induction of neuronal markers BRN2, SYP, and ENO2 as assayed by real-time PCR (RT-PCR; Supplementary Fig. S1B) and BRN2, SYP, and CHGA proteins as assessed by Western blotting (Supplementary Fig. S1C). Interestingly, we found that BRN1 and BRN4 mRNAs were upregulated along with ENO2 and BRN2 in LNCaP cells induced to undergo neuroendocrine differentiation via growth under C/D FBS/ENZ treatment versus control cells (Fig. 1D). While BRN2 expression was induced 7.7- and 7-fold upon androgen withdrawal and enzalutamide treatment, respectively, BRN1 induction was approximately 23- and 17-fold and that of BRN4 was approximately 36- and 45-fold, respectively, under same conditions (Fig. 1D). This suggests that androgen withdrawal/enzalutamide treatment induces the expression of these TFs. To gain better insight into the potential regulation of these factors by enzalutamide, we examined these TFs in enzalutamide-resistant LNCaP-AR cell line. As a control, LNCaP cells stably expressing AR (LNCaP-AR) and parental LNCaP (Fig. 1E) cells were used. We found that BRN1, BRN2, and BRN4 mRNAs were upregulated in LNCaP-AR-ENZR cells, suggesting the potential association of these factors with enzalutamide resistance in CRPC (Fig. 1E, left). BRN4 protein was found to be upregulated in LNCaP-AR-ENZR cells as compared with LNCaP-AR/LNCaP cells along with induction of BRN2, CHGA, and ENO2 (Fig. 1E, right).

Figure 1.

POU-domain TFs BRN1 and BRN4 are highly expressed in neuroendocrine prostate cancer cell line models and enzalutamide-resistant cells. A, Genomic alterations in class III POU-domain genes in CRPC-NE, mixed small-cell carcinoma–adenocarcinomas, and adenocarcinomas in SUC2C/PCF Dream Team (38) and Beltran and colleagues' (11) cohorts as analyzed by cBioPortal. Bottom panel shows the relative frequencies of these alterations in prostate adenocarcinomas (PRAD), CRPC, and NEPC cases within these two cohorts. B, Correlation analyses of BRN1, BRN2, and BRN4 mRNA and CNAs in the two cohorts. C, Relative mRNA levels of BRN1, BRN2, and BRN4 in normal immortalized prostate epithelial cell line (RWPE-1), benign nontransformed prostate epithelial cell line (BPH1), and prostate cancer cell lines (PC3, Du145, LNCaP, and NCI-H660) as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM. D, Relative mRNA levels of BRN1, BRN2, and BRN4 in LNCaP cells cultured in regular media (control), androgen-depleted media (C/D FBS), and 20 μmol/L enzalutamide (ENZ) in C/D FBS media as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM. E, Relative mRNA levels of BRN1, BRN2, and BRN4 in LNCaP, LNCaP-AR, and enzalutamide-resistant LNCaP-AR cells as assessed by RT-PCR (left). Data were normalized to GAPDH control and represented as mean ± SEM. Western blot analyses of BRN4, BRN2, and indicated neuronal markers in LNCaP, LNCaP-AR, and enzalutamide-resistant LNCaP-AR cells (right). GAPDH was used as a loading control.

Figure 1.

POU-domain TFs BRN1 and BRN4 are highly expressed in neuroendocrine prostate cancer cell line models and enzalutamide-resistant cells. A, Genomic alterations in class III POU-domain genes in CRPC-NE, mixed small-cell carcinoma–adenocarcinomas, and adenocarcinomas in SUC2C/PCF Dream Team (38) and Beltran and colleagues' (11) cohorts as analyzed by cBioPortal. Bottom panel shows the relative frequencies of these alterations in prostate adenocarcinomas (PRAD), CRPC, and NEPC cases within these two cohorts. B, Correlation analyses of BRN1, BRN2, and BRN4 mRNA and CNAs in the two cohorts. C, Relative mRNA levels of BRN1, BRN2, and BRN4 in normal immortalized prostate epithelial cell line (RWPE-1), benign nontransformed prostate epithelial cell line (BPH1), and prostate cancer cell lines (PC3, Du145, LNCaP, and NCI-H660) as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM. D, Relative mRNA levels of BRN1, BRN2, and BRN4 in LNCaP cells cultured in regular media (control), androgen-depleted media (C/D FBS), and 20 μmol/L enzalutamide (ENZ) in C/D FBS media as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM. E, Relative mRNA levels of BRN1, BRN2, and BRN4 in LNCaP, LNCaP-AR, and enzalutamide-resistant LNCaP-AR cells as assessed by RT-PCR (left). Data were normalized to GAPDH control and represented as mean ± SEM. Western blot analyses of BRN4, BRN2, and indicated neuronal markers in LNCaP, LNCaP-AR, and enzalutamide-resistant LNCaP-AR cells (right). GAPDH was used as a loading control.

Close modal

BRN4 expression is selectively upregulated in CRPC-NE patient-derived xenograft models, clinical samples, and cellular neuroendocrine differentiation models

In view of our data showing induction of BRN1 and BRN4 mRNA in neuroendocrine cellular models, we examined the clinical relevance of these alterations using patient-derived xenograft (PDX) models (Fig. 2A). We assessed their levels in PDX models with CRPC-adeno characteristics (LuCaP 70, 78, 81, and 92) versus those with CRPC-NE alterations (LuCaP 49, 145.1, and 145.2; ref. 42) by RT-PCR analyses. While the expression of BRN1 was not significantly different between CRPC-adeno versus CRPC-NE PDXs (Fig. 2A), BRN4 expression was significantly upregulated in CRPC-NE xenografts LuCaP 49, 145.1, and 145.2 (Fig. 2B). These data suggest that BRN4 upregulation is a clinically relevant alteration associated with transition of adenocarcinomas to neuroendocrine states. In view of these data, we focused on BRN4. To validate the association of BRN4 with NEPC, we examined BRN4 mRNA alterations in Beltran and colleagues' (11) cohort using cBioPortal (39, 40). We found that BRN4 mRNA is significantly upregulated in NEPC cases (Fig. 2C). Furthermore, we examined BRN4 expression in inducible cellular neuroendocrine differentiation models (Fig. 2D–F). MYCN has been implicated as a critical gene that drives NEPC (12, 16, 43). We generated stable clones from the LNCaP/AR and C42B cell lines overexpressing MYCN construct/control vector (Fig. 2D). Upon NMYC overexpression (Fig. 2D), we observed an increase in BRN4 protein levels concomitant with induction of neuronal markers BRN2, CHGA, and ENO2 (Fig. 2D, bottom). Similarly, knockdown of TP53 and RB1 has been shown to induce neuroendocrine phenotype in LNCaP/AR cells (44). shRNA-mediated TP53 and RB dual knockdown in LNCaP/AR cells led to BRN4 mRNA induction (Fig. 2E). BRN4 induction with BRN2 and other neuroendocrine markers by androgen withdrawal was confirmed in additional prostate cancer cell lines, C42B and 22Rv1 (Fig. 2F), consolidating the association of BRN4 expression with induction of prostate cancer neuroendocrine differentiation.

Figure 2.

BRN4 expression is selectively upregulated in CRPC-NE PDX models, clinical samples, and cell line models. Relative BRN1 mRNA (A) and BRN4 mRNA expression (B) in PDX models with CRPC-adeno characteristics (LuCaP 70, 78, 81, and 92) versus those with CRPC-NE alterations (LuCaP 49, 145.1, and 145.2) as assessed by RT-PCR analyses. Data were normalized to GAPDH control and represented as mean ± SEM. P values were calculated relative to LuCaP 70 PDX. C, Average z-scores for BRN4 mRNA expression in CRPC-adeno versus CRPC-NE tissues in Beltran and colleagues' (11) cohort. D, LNCaP-AR and C42B cells were stably transfected with control/NMYC overexpression constructs followed by RT-PCR analyses of NMYC mRNA (top) and Western blot analyses of N-Myc, BRN4, and neuronal markers BRN2, CHGA, and ENO2 (bottom). Band intensities were quantified by ImageJ, relative values were calculated for indicated proteins after normalizing to corresponding GAPDH values and are represented below blots. E, LNCaP-AR cells were transfected with control shRNA/shRNA targeting TP53 and RB1 followed by RT-PCR analyses of TP53, RB, and BRN4 mRNA (left). Western blot analyses confirming TP53 and RB knockdown following shRNA transfections (right). GAPDH was used as a loading control. F, C42B and 22Rv1 cell lines were grown under androgen-depleted conditions (RPMI medium with 10% C/D FBS) for 5 days followed by Western blot analyses of BRN4, BRN2, and indicated neuronal markers. GAPDH was used as a loading control.

Figure 2.

BRN4 expression is selectively upregulated in CRPC-NE PDX models, clinical samples, and cell line models. Relative BRN1 mRNA (A) and BRN4 mRNA expression (B) in PDX models with CRPC-adeno characteristics (LuCaP 70, 78, 81, and 92) versus those with CRPC-NE alterations (LuCaP 49, 145.1, and 145.2) as assessed by RT-PCR analyses. Data were normalized to GAPDH control and represented as mean ± SEM. P values were calculated relative to LuCaP 70 PDX. C, Average z-scores for BRN4 mRNA expression in CRPC-adeno versus CRPC-NE tissues in Beltran and colleagues' (11) cohort. D, LNCaP-AR and C42B cells were stably transfected with control/NMYC overexpression constructs followed by RT-PCR analyses of NMYC mRNA (top) and Western blot analyses of N-Myc, BRN4, and neuronal markers BRN2, CHGA, and ENO2 (bottom). Band intensities were quantified by ImageJ, relative values were calculated for indicated proteins after normalizing to corresponding GAPDH values and are represented below blots. E, LNCaP-AR cells were transfected with control shRNA/shRNA targeting TP53 and RB1 followed by RT-PCR analyses of TP53, RB, and BRN4 mRNA (left). Western blot analyses confirming TP53 and RB knockdown following shRNA transfections (right). GAPDH was used as a loading control. F, C42B and 22Rv1 cell lines were grown under androgen-depleted conditions (RPMI medium with 10% C/D FBS) for 5 days followed by Western blot analyses of BRN4, BRN2, and indicated neuronal markers. GAPDH was used as a loading control.

Close modal

BRN4 interplays with BRN2 and regulates SOX2 expression

To understand the mechanistic role of BRN4 in NEPC, we overexpressed control/BRN4 construct in LNCaP-AR and C42B cell lines (Fig. 3A) followed by expression analyses of neuroendocrine markers. Because BRN2 was recently implicated as a principal driver of NEPC (25), we included BRN2 overexpression as a positive control. Interestingly, we found that BRN4 overexpression led to SOX2 overexpression in both cell lines compared with control and BRN2 overexpression (Fig. 3B) concomitant with induction of ENO2, a neuroendocrine marker. Because SOX2 is a critical TF that has been implicated in NEPC (45) and BRN2 has been reported to an upstream regulator of SOX2 in driving NEPC (25), we sought to determine whether there is potential interaction between BRN4 and BRN2. We performed coimmunoprecipitation (co-IP) with BRN4 in LNCaP-AR and C42B cell lines followed by Western blotting for BRN2 (Fig. 3C). In a converse approach, we pulled down BRN2 with BRN2 antibody and probed for BRN4 (Fig. 3C). Our data shows that these two TFs interact directly suggesting that they may act in concert in driving NEPC. To further understand the interplay between these factors, we examined BRN4 levels upon BRN2 overexpression in LNCaP-AR and C42B cell lines (Fig. 3D). Interestingly, we found that BRN2 overexpression led to BRN4 upregulation in both cell lines. In a converse approach, we knocked down BRN2 expression in neuroendocrine cell line NCI-H660 and C42B cells and observed low BRN4 expression concomitant with BRN2 knockdown (Fig. 3E). These data suggest that BRN4 interplays with BRN2. We further examined the correlation of BRN4 with BRN2 expression in Prostate Cancer Transcriptome Analyses (PCTA) dataset (46), a large cohort of patients with mCRPC (n = 260) and observed a significant positive correlation between BRN4 and BRN2 in mCRPC (P < 0.001; Fig. 3F). These data validate BRN4 as a crucial TF that interacts with master neural TF BRN2 in prostate cancer (25). We also examined the correlation of BRN4 with AR in the PCTA cohort and observed a negative correlation (Fig. 3G) suggesting that BRN4 is expressed upon AR downregulation. We further examined the effects of BRN4 overexpression on LNCaP-AR cells grown in regular media/androgen-depleted media + enzalutamide (Fig. 3H). We observed that BRN4 overexpression confers a growth advantage to cells grown in regular media/androgen-depleted media suggesting that BRN4 is oncogenic and confers resistance to enzalutamide. Furthermore, BRN4 overexpression led to augmentation of in vitro migration and invasive abilities of LNCaP-AR and C42B cell lines as compared with corresponding controls (Fig. 3I) suggesting that BRN4 controls prostate cancer aggressiveness.

Figure 3.

BRN4 regulates SOX2 expression and controls expression of neuroendocrine genes. LNCaP-AR and C42B cells were stably transfected with control/BRN2/BRN4 overexpression constructs followed by Western blot analyses of BRN2 and BRN4 protein levels (A) and SOX2 and ENO2 protein levels (B). GAPDH was used as a loading control. C, LNCaP-AR and C42B cells were used to perform co-IP with control IgG, BRN4 antibody, and BRN2 antibody followed by Western blot analyses for BRN2 and BRN4. D, LNCaP-AR and C42B cells were stably transfected with control/BRN2 overexpression constructs followed by RT-PCR analyses of BRN4 mRNA. GAPDH was used as an endogenous control. E, NCI-H660 and C42B cells were stably transfected with control/BRN2 shRNA constructs followed by RT-PCR analyses of BRN2 and BRN4 mRNA. GAPDH was used as an endogenous control. Correlation between BRN2 and BRN4 expression (F) and AR and BRN4 expression (G) in PCTA dataset of patients with mCRPC (n = 260). H, Cellular viabilities of LNCaP-AR cells transfected with control/BRN4 grown in regular media/androgen-depleted media + enzalutamide. I, Transwell in vitro migration and invasion assays upon control/BRN4 expression in LNCaP-AR and C42B cell lines. J, Schematic representation showing the proposed role of BRN4 in NEPC.

Figure 3.

BRN4 regulates SOX2 expression and controls expression of neuroendocrine genes. LNCaP-AR and C42B cells were stably transfected with control/BRN2/BRN4 overexpression constructs followed by Western blot analyses of BRN2 and BRN4 protein levels (A) and SOX2 and ENO2 protein levels (B). GAPDH was used as a loading control. C, LNCaP-AR and C42B cells were used to perform co-IP with control IgG, BRN4 antibody, and BRN2 antibody followed by Western blot analyses for BRN2 and BRN4. D, LNCaP-AR and C42B cells were stably transfected with control/BRN2 overexpression constructs followed by RT-PCR analyses of BRN4 mRNA. GAPDH was used as an endogenous control. E, NCI-H660 and C42B cells were stably transfected with control/BRN2 shRNA constructs followed by RT-PCR analyses of BRN2 and BRN4 mRNA. GAPDH was used as an endogenous control. Correlation between BRN2 and BRN4 expression (F) and AR and BRN4 expression (G) in PCTA dataset of patients with mCRPC (n = 260). H, Cellular viabilities of LNCaP-AR cells transfected with control/BRN4 grown in regular media/androgen-depleted media + enzalutamide. I, Transwell in vitro migration and invasion assays upon control/BRN4 expression in LNCaP-AR and C42B cell lines. J, Schematic representation showing the proposed role of BRN4 in NEPC.

Close modal

Alterations in EV secretion pathways upon induction of neuroendocrine differentiation states in prostate cancer

Recent results from our laboratory suggest that EVs play a key role in mediating neuroendocrine differentiation states in advanced prostate cancer. We propose that enzalutamide resistance is mediated via EVs, whereby these vesicles act as vehicles for exchange of neuronal TFs between heterogeneous populations of tumor cells, promoting neuroendocrine differentiation and engendering a transmitted API resistance. Toward this, we assayed EVs released from clinical samples (CRPC-adeno, n = 42 vs. CRPC-NE, n = 6; Supplementary Table S1). Isolated exosomal preparations were comprehensively characterized by electron microscopy, nanoparticle tracking analyses (NTA; Fig. 4A), and immunoblot analyses for presence of multiple exosomal markers (CD9, CD63, and TSG101) and absence of contaminating proteins such as GRP94 (Fig. 4B). NTA analyses showed that the average particle size (Fig. 4A, lower left panel) and numbers (Fig. 4A, lower right panel) were not significantly different between CRPC-adeno and CRPC-NE, although CRPC-NE samples trended toward higher particle number and size. While we confirmed EV markers by Western blotting (Fig. 4B), we found that CD9 expression is variable, decreasing predominantly in CRPC-NE cases. To gain further insights, we examined CD9 alterations in Beltran and colleagues' (11) cohort using cBioPortal (39, 40). We found that CD9 is amplified in 4% cases of CRPC-NE versus approximately 13% in other prostate cancer cases, while CD63 amplification frequency in NEPC is not significantly different (Fig. 4C, left). In concordance with amplifications, average CD9 mRNA expression was found to be approximately 2.5-fold lower in CRPC-NE versus CRPC-adeno, while CD63 is not altered significantly (Fig. 4C, right). These data suggest that prostate cancer neuroendocrine differentiation is associated with alterations in EV secretion pathways.

Figure 4.

Alterations in EV secretion pathways upon induction of neuroendocrine differentiation states in prostate cancer and release of BRN2 and BRN4 mRNA in prostate cancer EVs upon enzalutamide treatment. A, EVs were isolated from sera of patients with prostate cancer with CRPC-adeno, n = 42 and CRPC-NE, n = 6. NTA of representative CRPC-adeno (top, left) and CRPC-NE (top, right) cases showing size and concentration of isolated particles. Average particle size (bottom, left) and particle concentration in CRPC-adeno versus CRPC-NE cases (bottom, right) as determined by NTA analyses. B, Western blot analyses for EV markers CD9, CD63, TSG101, and negative marker GRP94 to confirm the integrity of EVs isolated from sera of CRPC-adeno (n = 7) and CRPC-NE (n = 4) cases. C, Genomic alteration frequencies (left) and relative mRNA expression (right) for CD9 and CD63 in CRPC-adeno and CRPC-NE cases in Beltran and colleagues' (11) cohort. mRNA data are represented as mean ± SEM. D, EVs were extracted from conditioned media of LNCaP, LNCaP-AR, and ENZ-R cell line followed by RNA isolation and RT-PCR–based expression profiling for EV-associated BRN2 and BRN4 mRNA. Data were normalized to GAPDH control and represented as mean ± SEM. E, LNCaP-AR ENZ-R cell line was treated with exosome inhibitor GW4869 (20 μmol/L) for 48 hours followed by clonogenicity assay. Representative images from control/GW4869-treated cells are shown above. F, Expression of indicated genes in cellular (top) and EV (bottom) fractions from RWPE-1, LNCaP, and NCI-H660 cells. Data were normalized to GAPDH control and represented as mean ± SEM.

Figure 4.

Alterations in EV secretion pathways upon induction of neuroendocrine differentiation states in prostate cancer and release of BRN2 and BRN4 mRNA in prostate cancer EVs upon enzalutamide treatment. A, EVs were isolated from sera of patients with prostate cancer with CRPC-adeno, n = 42 and CRPC-NE, n = 6. NTA of representative CRPC-adeno (top, left) and CRPC-NE (top, right) cases showing size and concentration of isolated particles. Average particle size (bottom, left) and particle concentration in CRPC-adeno versus CRPC-NE cases (bottom, right) as determined by NTA analyses. B, Western blot analyses for EV markers CD9, CD63, TSG101, and negative marker GRP94 to confirm the integrity of EVs isolated from sera of CRPC-adeno (n = 7) and CRPC-NE (n = 4) cases. C, Genomic alteration frequencies (left) and relative mRNA expression (right) for CD9 and CD63 in CRPC-adeno and CRPC-NE cases in Beltran and colleagues' (11) cohort. mRNA data are represented as mean ± SEM. D, EVs were extracted from conditioned media of LNCaP, LNCaP-AR, and ENZ-R cell line followed by RNA isolation and RT-PCR–based expression profiling for EV-associated BRN2 and BRN4 mRNA. Data were normalized to GAPDH control and represented as mean ± SEM. E, LNCaP-AR ENZ-R cell line was treated with exosome inhibitor GW4869 (20 μmol/L) for 48 hours followed by clonogenicity assay. Representative images from control/GW4869-treated cells are shown above. F, Expression of indicated genes in cellular (top) and EV (bottom) fractions from RWPE-1, LNCaP, and NCI-H660 cells. Data were normalized to GAPDH control and represented as mean ± SEM.

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BRN2 and BRN4 mRNA are released in prostate cancer EVs upon enzalutamide treatment

Importantly, we identified that BRN4 and BRN2 mRNA are specifically released into prostate cancer EVs. We extracted EVs from conditioned media of LNCaP, LNCaP-AR, and LNCaP-AR-ENZR cell line followed by expression profiling (Fig. 4D) and found that BRN2 and BRN4 mRNA (denoted as EV-BRN2 and EV-BRN4, respectively) were significantly increased in prostate cancer EVs isolated from LNCaP-AR-ENZR cell line. These data point to an association of enzalutamide resistance to an increased secretion of these TFs in EVs. We hypothesize that secretion of these factors in prostate cancer EVs in CRPC underlie enzalutamide resistance and may be an adaptive mechanism for prostate cancer cells to survive under the selective pressure of APIs. Furthermore, treatment of LNCaP-AR-ENZR cell line with exosome inhibitor GW4869 (Fig. 4E) could partially restore the sensitivity of this cell line to enzalutamide as monitored by clonogenicity assay. This supports a key role of exosome-mediated intercommunication in enzalutamide resistance. We also examined the expression of BRN4 and BRN2 in cells (Fig. 4F, top) and EVs (Fig. 4F, bottom) from RWPE-1 cells versus prostate cancer cell lines and found that their levels are specifically upregulated in EVs from neuroendocrine cell line NCI-H660, while the increases in LNCaP EVs were statistically insignificant. To confirm the specific release of BRN4 and BRN2 in EVs in NEPC, we examined the expression of additional genes, CUX1 and ATP2A3, in cells and corresponding EVs from prostate cancer cell lines (Fig. 4F). CUX1 encodes Cut-like homeobox 1 TF, while ATP2A3 encodes a calcium-translocating P-type ATPase that has been shown to be regulated in prostate cancer (47). While CUX1 and ATP2A3 were found to be expressed in LNCaP and NCI-H660 (Fig. 4F, top), their expression in EVs were undetected in all analyzed cell lines (Fig. 4F, bottom). These observations validated our findings on EV-BRN2 and -BRN4.

EV-associated BRN4 and BRN2 are upregulated in sera from patients with NEPC and can predict neuroendocrine differentiation induction noninvasively

In view of our data showing presence of BRN4 and BRN2 mRNA in EVs and increase in their levels upon enzalutamide treatment and elevated levels in neuroendocrine cell line, we asked whether these factors could be used as noninvasive markers to predict prostate cancer neuroendocrine differentiation (Fig. 5). EVs were extracted from the sera of CRPC-adeno and CRPC-NE cases (cohort 1; Supplementary Table S1). Following extensive characterization of EVs by NTA analyses and Western blotting for positive and negative EV markers (4A-B), vesicle-associated RNAs were extracted and profiled by RT-PCR. EV-BRN4 was significantly upregulated (∼7-fold) in CRPC-NE compared with CRPC-adeno cases (Fig. 5A). To assess the potential of EV-BRN4 to be a diagnostic biomarker for assessing neuroendocrine differentiation, we performed ROC curve analyses based on ΔCt values in CRPC-adeno and CRPC-NE (Fig. 5B) cases. Our analyses showed that EV-BRN4 expression is an excellent marker to diagnose neuroendocrine differentiation in CRPC cases with an AUC of 1 [P < 0.0001; 95% confidence interval (CI), 0.832–1.000], 100% specificity and 100% sensitivity. Furthermore, in view of our data with cellular models showing release of BRN2 mRNA in EVs, we also evaluated its levels in sera of CRPC-adeno and CRPC-NE patients (Fig. 5C). Similar to BRN4, EV-BRN2 was found to be significantly higher (∼4-fold) in CRPC-NE as compared with CRPC-adeno. ROC curve analyses for EV-BRN2 (Fig. 5D) showed that it can diagnose neuroendocrine differentiation with an AUC of 0.944 (P < 0.0001; 95% CI, 0.782–0.998), 94.4% specificity and 100% sensitivity. These data demonstrate the promising potential of EV-associated BRN4 and BRN2 to predict neuroendocrine differentiation in patients with CRPC noninvasively.

Figure 5.

EV-associated BRN4 and BRN2 are upregulated in sera from patients with neuroendocrine prostate cancer and can predict neuroendocrine differentiation induction in patients with prostate cancer noninvasively. A, Relative EV-BRN4 levels in CRPC-adeno (n = 14) and CRPC-NE samples (n = 6) as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM (left). Average EV-BRN4 expression in CRPC-adeno versus CRPC-NE cases (right). B, ROC curve analyses for EV-BRN4 as a parameter to discriminate between non-neuroendocrine and neuroendocrine cases based on ΔCt values in CRPC-adeno versus CRPC-NE cases. C, Relative EV-BRN2 levels in CRPC-adeno (n = 19) and CRPC-NE samples (n = 6) as assessed by RT-PCR (left). Average EV-BRN2 expression in CRPC-adeno versus CRPC-NE cases (right). Data were normalized to GAPDH control and represented as mean ± SEM. D, ROC curve analyses for EV-BRN2 based on ΔCt values in CRPC-adeno (n = 19) and CRPC-NE (n = 6). Relative EV-BRN4 levels (E) and EV-BRN2 levels (F) in sera of cohort 2 of CRPC-adeno patients (n = 23) as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM. G, Median EV-BRN4 (left) and EV-BRN2 expression (right) in CRPC-adeno cases treated with/without enzalutamide. P values are based on Mann–Whitney U test.

Figure 5.

EV-associated BRN4 and BRN2 are upregulated in sera from patients with neuroendocrine prostate cancer and can predict neuroendocrine differentiation induction in patients with prostate cancer noninvasively. A, Relative EV-BRN4 levels in CRPC-adeno (n = 14) and CRPC-NE samples (n = 6) as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM (left). Average EV-BRN4 expression in CRPC-adeno versus CRPC-NE cases (right). B, ROC curve analyses for EV-BRN4 as a parameter to discriminate between non-neuroendocrine and neuroendocrine cases based on ΔCt values in CRPC-adeno versus CRPC-NE cases. C, Relative EV-BRN2 levels in CRPC-adeno (n = 19) and CRPC-NE samples (n = 6) as assessed by RT-PCR (left). Average EV-BRN2 expression in CRPC-adeno versus CRPC-NE cases (right). Data were normalized to GAPDH control and represented as mean ± SEM. D, ROC curve analyses for EV-BRN2 based on ΔCt values in CRPC-adeno (n = 19) and CRPC-NE (n = 6). Relative EV-BRN4 levels (E) and EV-BRN2 levels (F) in sera of cohort 2 of CRPC-adeno patients (n = 23) as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM. G, Median EV-BRN4 (left) and EV-BRN2 expression (right) in CRPC-adeno cases treated with/without enzalutamide. P values are based on Mann–Whitney U test.

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Enzalutamide treatment increases EV-associated BRN4 and BRN2 levels in patients with CRPC

In view of our preceding results, we analyzed the expression of EV-BRN4 and EV-BRN2 in additional patients with CRPC (cohort 2, n = 23; Fig. 5E and F; Supplementary Table S1). While this cohort did not include patients with proven neuroendocrine differentiation, it included CRPC-adeno patients with/without enzalutamide treatment. The levels of BRN4 (Fig. 5E) and BRN2 (Fig. 5F) were found to range from low to high. We further examined whether EV-associated BRN4 and BRN2 levels in CRPC-adeno patients (cohort 1+2) are correlated with clinicopathologic parameters (Supplementary Fig. S2). On the basis of median expression of EV-BRN4 (4.04) and EV-BRN2 (5) in CRPC-adeno patients, these patients were stratified into two groups (≤median and >median expression). While no correlations were observed with Gleason score of primary tumor, age at diagnosis, or final serum PSA, EV-BRN4 and EV-BRN2 were higher in CRPC-adeno patients treated with enzalutamide (67% and 83%, respectively) versus those that were non-enzalutamide treated (48% and 43%, respectively; Supplementary Fig. S2), although it failed to reach statistical significance. Furthermore, the median expression levels of EV-BRN4 and EV-BRN2 were found to be higher in enzalutamide-treated cases versus non-enzalutamide CRPC (adeno + neuroendocrine) cases (Fig. 5G), with the levels of EV-BRN2 significantly higher [∼2-fold higher; P = 0.029* (Asterisk refers to significant P value.)] in enzalutamide-treated cases (Fig. 5G, right). These data suggest that these factors are increasingly released in EVs upon enzalutamide treatment. We propose that their release in EVs promote enzalutamide-induced neuroendocrine differentiation in patients with CRPC.

BRN4 and BRN2 protein are selectively released in prostate cancer EVs, and their release increases upon neuroendocrine differentiation induction

In addition to BRN4 and BRN2 mRNA, we found that EVs contain BRN4 and BRN2 protein (Fig. 6A). EVs were isolated from control/enzalutamide-treated LNCaP and NCI-H660 cells and subjected to Western blot analyses. We found that BRN4 (Fig. 6A, left) and BRN2 (ref. 25; Fig. 6A, right) are selectively released in prostate cancer EVs with their release increasing upon enzalutamide treatment and enrichment in EVs derived from the neuroendocrine cell line NCI-H660. To validate our EV preparations, we performed Western blot analyses for EV markers CD9 and CD63 (Fig. 6A). While we confirmed the purity of our preparations as they stained positive for these markers, we found that CD9-containing vesicles decrease significantly upon neuroendocrine differentiation induction as compared with CD63-positive vesicles, further supporting our data suggesting that alterations in EV secretion pathways occur with neuroendocrine differentiation induction (Fig. 4B and C). To validate the release of BRN2 and BRN4 into prostate cancer EVs, we inhibited EV release in our cellular LNCaP neuroendocrine differentiation model (Supplementary Fig. S1) by treatment with inhibitor GW4869 followed by BRN2/4 expression analyses in cellular and EV fractions (Fig. 6B). EV secretion inhibition increased cellular BRN2 levels and decreased EV-associated BRN2 upon neuroendocrine differentiation induction by enzalutamide treatment and/or androgen depletion. Similarly, increased BRN4 was observed in EVs upon androgen depletion and/or enzalutamide treatment and these increases were attenuated by GW4869 treatment. Interestingly, probing for BRN4 in EVs yield a higher band in addition to expected size, which may reflect glycosylated protein. Furthermore, GW4869 treatment led to increased cellular BRN4 in control and C/D FBS-treated cells, while expected increase was not observed in combined treatment with enzalutamide suggesting a different regulatory control of BRN4 and BRN2 secretion and expression. We also assayed the release of BRN4 and BRN2 in EVs derived from RWPE-1/BPH1 cells and prostate cancer cell lines (Fig. 6C) and found that these proteins are specifically expressed in EVs derived from prostate cancer cell lines LNCaP, PC3, and Du145 while EVs from RWPE-1 and BPH1 cells had undetectable levels. Treatment of prostate cancer cell lines PC3 and LNCaP with EV inhibitor GW4869 led to decreased EV-associated BRN2 and BRN4 mRNA concomitant with increased cellular levels (Fig. 6D).

Figure 6.

BRN4 and BRN2 are selectively released in prostate cancer EVs upon neuroendocrine differentiation induction that mediate neuroendocrine differentiation states in prostate cancer. A, EVs were isolated from control (DMSO)/1 μmol/L enzalutamide-treated LNCaP cells and NCI-H660 cells and subjected to Western blot analyses for indicated proteins. B, LNCaP cells were cultured under regular conditions (control) or under androgen-depleted conditions (C/D FBS) or treated with 20 μmol/L enzalutamide in C/D FBS media. These treatments were followed by treatment with exosome inhibitor GW4869 for 48 hours. Cellular and EV fractions were extracted after various treatments followed by Western blot analyses for BRN2 and BRN4 in the two fractions. CD9 and CD63 were used as controls for EV, while tubulin/GAPDH was used as controls for cellular fractions. C, BRN2 and BRN4 protein levels in EVs derived from normal immortalized (RWPE-1)/benign prostate epithelial (BPH1) cells and prostate cancer cell lines (PC3, LNCaP, and Du145). CD9 was used as an exosomal control. D, Relative BRN2 mRNA (top) and BRN4 mRNA (bottom) expression in cellular and EV fractions of PC3 and LNCaP cell lines with/without exosome inhibitor GW4869 treatment as assessed by RT-PCR. Data were normalized to vinculin control and represented as mean ± SEM. E–G, “Uptake experiment” with labeled EVs in parental LNCaP cells. EVs were isolated from control (DMSO)/1 μmol/L enzalutamide-treated LNCaP cells, labeled with SYTO RNA Select green fluorescent stain followed by incubation of labeled EVs (40 μg/mL) with parental LNCaP cells. As a negative control, parental LNCaP cells were incubated with media with no EVs. E, Fluorescence microscopy analyses to confirm uptake of labeled EVs (green, left), DAPI staining (blue, middle), and BRN2 IF staining (red, right) after EV treatment. F, Relative cellular BRN2, ENO2, BRN4, and SYP expression in EV-treated/control LNCaP cells as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM. G, Western blot analyses for indicated proteins after “uptake assay.” Vinculin/GAPDH was used as loading controls. H, Control/BRN4-expressing LNCaP-AR cells (donor cells) were grown in the presence of 5EU for 24 hours to label nascent RNA transcripts. EVs released by donor cells after labeling were isolated, characterized, and applied to parental LNCaP-AR cells (recipient, non-EU labeled) for 48 hours. Total RNA was extracted from recipient cells followed by purification of EU-labeled mRNA from recipient cells as shown schematically using Click-iT Nascent RNA Capture Kit (catalog no. C10365, Thermo Fisher Scientific) following the manufacturer's protocol. Purified labeled RNA was used for RT-PCR–based analyses of labeled BRN4 in recipient cells. Data were normalized to GAPDH control and represented as mean ± SEM. I, Schematic representation depicting proposed role of EV-associated BRN4 and BRN2 in inducing reprogramming in prostate cancer cells to neuroendocrine states. We propose that as an adaptive mechanism to androgen deprivation conditions/enzalutamide treatment, prostate cancer cells express and secrete BRN2 and BRN4 in EVs/exosomes that, in turn, drives oncogenic reprogramming of prostate cancer cells. We propose that these reprogramming TFs are selectively sorted into prostate cancer EVs/exosomes upon neuroendocrine differentiation induction that mediates intercellular communication between prostate cancer cells leading to perpetuation of neuroendocrine states. EV-associated BRN2 and BRN4 are taken up by neighboring “non-neuroendocrine” prostate cancer epithelial cells leading to suppression of AR and AR target genes and induction of neuronal genes.

Figure 6.

BRN4 and BRN2 are selectively released in prostate cancer EVs upon neuroendocrine differentiation induction that mediate neuroendocrine differentiation states in prostate cancer. A, EVs were isolated from control (DMSO)/1 μmol/L enzalutamide-treated LNCaP cells and NCI-H660 cells and subjected to Western blot analyses for indicated proteins. B, LNCaP cells were cultured under regular conditions (control) or under androgen-depleted conditions (C/D FBS) or treated with 20 μmol/L enzalutamide in C/D FBS media. These treatments were followed by treatment with exosome inhibitor GW4869 for 48 hours. Cellular and EV fractions were extracted after various treatments followed by Western blot analyses for BRN2 and BRN4 in the two fractions. CD9 and CD63 were used as controls for EV, while tubulin/GAPDH was used as controls for cellular fractions. C, BRN2 and BRN4 protein levels in EVs derived from normal immortalized (RWPE-1)/benign prostate epithelial (BPH1) cells and prostate cancer cell lines (PC3, LNCaP, and Du145). CD9 was used as an exosomal control. D, Relative BRN2 mRNA (top) and BRN4 mRNA (bottom) expression in cellular and EV fractions of PC3 and LNCaP cell lines with/without exosome inhibitor GW4869 treatment as assessed by RT-PCR. Data were normalized to vinculin control and represented as mean ± SEM. E–G, “Uptake experiment” with labeled EVs in parental LNCaP cells. EVs were isolated from control (DMSO)/1 μmol/L enzalutamide-treated LNCaP cells, labeled with SYTO RNA Select green fluorescent stain followed by incubation of labeled EVs (40 μg/mL) with parental LNCaP cells. As a negative control, parental LNCaP cells were incubated with media with no EVs. E, Fluorescence microscopy analyses to confirm uptake of labeled EVs (green, left), DAPI staining (blue, middle), and BRN2 IF staining (red, right) after EV treatment. F, Relative cellular BRN2, ENO2, BRN4, and SYP expression in EV-treated/control LNCaP cells as assessed by RT-PCR. Data were normalized to GAPDH control and represented as mean ± SEM. G, Western blot analyses for indicated proteins after “uptake assay.” Vinculin/GAPDH was used as loading controls. H, Control/BRN4-expressing LNCaP-AR cells (donor cells) were grown in the presence of 5EU for 24 hours to label nascent RNA transcripts. EVs released by donor cells after labeling were isolated, characterized, and applied to parental LNCaP-AR cells (recipient, non-EU labeled) for 48 hours. Total RNA was extracted from recipient cells followed by purification of EU-labeled mRNA from recipient cells as shown schematically using Click-iT Nascent RNA Capture Kit (catalog no. C10365, Thermo Fisher Scientific) following the manufacturer's protocol. Purified labeled RNA was used for RT-PCR–based analyses of labeled BRN4 in recipient cells. Data were normalized to GAPDH control and represented as mean ± SEM. I, Schematic representation depicting proposed role of EV-associated BRN4 and BRN2 in inducing reprogramming in prostate cancer cells to neuroendocrine states. We propose that as an adaptive mechanism to androgen deprivation conditions/enzalutamide treatment, prostate cancer cells express and secrete BRN2 and BRN4 in EVs/exosomes that, in turn, drives oncogenic reprogramming of prostate cancer cells. We propose that these reprogramming TFs are selectively sorted into prostate cancer EVs/exosomes upon neuroendocrine differentiation induction that mediates intercellular communication between prostate cancer cells leading to perpetuation of neuroendocrine states. EV-associated BRN2 and BRN4 are taken up by neighboring “non-neuroendocrine” prostate cancer epithelial cells leading to suppression of AR and AR target genes and induction of neuronal genes.

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EV-associated BRN4 and BRN2 mediates neuroendocrine differentiation states in prostate cancer

In view of our results showing the release of BRN factors in EVs upon enzalutamide treatment, we hypothesized that as an adaptive mechanism to androgen deprivation conditions/enzalutamide treatment, prostate cancer cells express and secrete these factors in EVs that act in a paracrine manner on neighboring cancer cells to drive oncogenic reprogramming to neuroendocrine-like states (Fig. 6I). To test our hypothesis, we performed “uptake experiments” (Fig. 6E–H). EVs were isolated from control/enzalutamide-treated LNCaP cells, labeled with SYTO RNASelect Green Fluorescent Stain (Thermo Fisher Scientific; ref. 48), and followed by incubation with parental LNCaP cells. As a negative control, parental LNCaP cells were incubated with EV-free media. After 48 hours, parental LNCaP cells were harvested and analyzed. Cellular uptake of labeled EVs was confirmed by fluorescence microscopy (Fig. 6E, left). We performed BRN2 immunofluorescence (IF) staining on parental LNCaP cells (Fig. 6E, right), which showed augmented cellular BRN2 staining upon treatment with enzalutamide EVs, suggesting that BRN2 protein is increasingly released in prostate cancer EVs upon enzalutamide treatment and horizontally transferred to neighboring cancer cells. Interestingly, BRN2 protein showed as tiny speckles inside the cells, colocalized with EVs (green label) validating the transfer of BRN2 protein in EVs. RT-PCR analyses of parental LNCaP cells after “uptake experiment” showed an induction of BRN2and BRN4 along with neuroendocrine genes ENO2 and SYP by RT-PCR (Fig. 6F). Western blot analyses after “uptake experiment” (Fig. 6G) showed that treatment of parental LNCaP cells with enzalutamide EVs led to a significant increase in the expression of BRN2, BRN4, CHGA, and SYP with a concomitant decrease in AR expression. We examined the effects of enzalutamide EVs on AR target genes (NKX3.1 and KLK3) and neuroendocrine/stem cell marker CD44 in LNCaP-AR cells (Supplementary Fig. S3A) and found a significant repression of NKX3.1 and KLK3, while CD44 expression was upregulated. To further consolidate the transfer of BRN4 in EVs, we labeled nascent RNA in donor cells (control/BRN4-overexpressing LNCaP-AR cells) with 5-ethynyl uridine (5EU) followed by tracking of EU-labeled EV RNA release and uptake in recipient parental LNCaP-AR cells (non-EU labeled), to determine whether labeled BRN4 mRNA transferred from donor cells could be detected in recipient cells (Fig. 6H, left). Interestingly, we found that parental cells treated with EU-labeled EVs from BRN4-expressing cells showed higher expression as compared with corresponding control EV-treated cells (Fig. 6H, right). This data validates our hypothesis of transfer of BRN4 via EVs.

Because BRN2 was reported as a key neuronal factor driving prostate cancer neuroendocrine differentiation (25), we further tested the role of EV-associated BRN2 in prostate cancer neuroendocrine differentiation (Supplementary Fig. S3B). We performed shRNA-mediated stable BRN2 knockdown in NCI-H660 cells (Supplementary Fig. S3B, left). EVs were harvested from conditioned media of control shRNA (shCON) versus shBRN2-transfected cells (Supplementary Fig. S3B, right) and used in an “uptake experiment” with parental LNCaP cells incubated with shCON or shBRN2 EVs (Supplementary Fig. S3C). Our data shows that treatment of parental LNCaP cells with shBRN2 EVs led to decreased expression of BRN2 and CD44 concomitant with AR upregulation. Collectively, these data support a role of EV-associated BRN2/4 in inducing neuroendocrine states (Fig. 6I).

While the widespread use of enzalutamide and other second-generation APIs has led to transformative impact in the management of patients with mCRPC (2, 4), API resistance (5, 6) is near-universal leading to significantly increased incidences of therapy-induced neuroendocrine differentiation (9) with aggressive clinical course. Therapy-induced neuroendocrine differentiation emerges in patients with mCRPC either late upon treatment with enzalutamide/abiraterone, but is also believed to occur early in disease course upon treatment with these APIs or even de novo post-docetaxel therapy (9, 10). The genetic and epigenetic changes underlying this trans-differentiation process has been investigated and has been reported to involve key events including loss of the tumor suppressors retinoblastoma (RB1), tumor protein 53 (TP53), and NMYC overexpression among others (11–15). Here we show that BRN4, encoding a proneural TF, is a crucial factor that is upregulated in NEPC. While both BRN1 and BRN4 were induced upon enzalutamide treatment of prostate cancer cell lines along with BRN2, BRN4 alterations were found to be associated more specifically with NEPC. In this regard, we identified that (i) in addition to BRN2, BRN4 is upregulated upon enzalutamide treatment/androgen withdrawal of prostate cancer cell lines and in enzalutamide-resistant prostate cancer cell line; (ii) BRN4 is selectively upregulated in CPC- neuroendocrine PDX models as compared with CRPC-adeno PDXs (42); (iii) BRN4 is upregulated in inducible cellular neuroendocrine differentiation models including MYCN overexpression and dual TP53 and RB1 knockdown (11, 12, 16, 44); and (iv) analyses in Beltran and colleagues' (11) cohort showed that BRN4 mRNA is upregulated in NEPC. In view of these lines of evidence, we propose that BRN4 upregulation is a clinically relevant alteration associated with transition of CRPC-adeno to CRPC-NE and that BRN4 may play a critical role in reprogramming prostate cancer cells to neuroendocrine states. In agreement with this hypothesis, BRN4 overexpression led to upregulation of neuronal markers including SOX2, a critical TF that drives NEPC (44) and ENO2, a canonical neuroendocrine marker. BRN2 was previously reported to be an AR-repressed and an upstream regulator of SOX2 in driving NEPC (25). In view of our results showing an interplay between BRN2 and BRN4, we speculate that BRN4 and BRN2 act synergistically to control SOX2 expression in regulating NEPC (Fig. 3J). Our co-IP data showing that BRN4 directly interacts with BRN2 support our hypothesis. Overexpression/knockdown of BRN2 led to corresponding changes in BRN4 levels. We speculate that in response to APIs such as enzalutamide treatment, BRN4 and BRN2 are upregulated that work together to initiate a proneural program that drives prostate cancer neuroendocrine differentiation (Fig. 3J). Future mechanistic studies mapping the binding sites and regulation of BRN4 are warranted and are the subject of ongoing investigations in our laboratory. Interestingly, our preliminary analyses suggest that BRN4 promoter possess multiple SOX2 and AR-binding sites suggesting a potential regulatory interplay between these TFs in driving NEPC.

It has been suggested and supported that NEPC transformation is a potentially reversible epigenetic phenomenon (49). We hypothesized that EVs mediate intercellular signaling in NEPC and plays a role in oncogenic reprogramming of CRPC-adeno to CRPC-NE states via the transfer of functional TFs. Importantly, treatment of enzalutamide-resistant cell line with EV inhibitor could restore the sensitivity of these cells to enzalutamide, supporting a key role of EVs in imparting enzalutamide resistance and suggesting EV inhibition as a potential strategy to reverse enzalutamide resistance. Our data lend support to our hypothesis that EVs are crucial to neuroendocrine differentiation induction and that key oncogenic factors including BRN2 and BRN4 are released in prostate cancer EVs. We found that enzalutamide causes alterations in vesicular sorting pathways such as increased release of BRN2 and BRN4 mRNA in EVs. Our data suggests that EV-associated BRN4 and BRN2 are horizontally transferred to neighboring cancer cells to propagate neuroendocrine differentiation states. We propose that as an adaptive mechanism to APIs, prostate cancer cells express BRN2 and BRN4, which in turn, drives oncogenic reprogramming of prostate cancer cells. Furthermore, these reprogramming TFs are selectively sorted into prostate cancer EVs to mediate intercellular communication between prostate cancer cells, leading to induction of neuronal genes, thereby promoting perpetuation of neuroendocrine differentiation states (Fig. 6I). Because amplification of N-Myc and overexpression of EZH2 have been identified as key oncogenic factors in NEPC (11–13), we also assayed these factors in EVs (Supplementary Fig. S4). We found that EZH2 and N-Myc are released in EVs by prostate cancer cells undergoing neuroendocrine differentiation (Supplementary Fig. S4), lending support to our hypothesis that neuroendocrine differentiation induction is associated with release of oncogenic TFs that perpetuate these states in advanced prostate cancer.

Importantly, we identified that: there is increased expression of EV-BRN4 and EV-BRN2 in CRPC-NE cases as compared with CRPC-adeno and that EV-BRN4 and EV-BRN2 have promising potential as noninvasive diagnostic/predictive biomarkers for NEPC/neuroendocrine differentiation. Rigorous validation of the proposed EV-associated BRN4 and BRN2 as novel, noninvasive markers for detection and prediction of NEPC in larger cohorts are warranted. If validated, these markers can provide a significant advancement over existing methods of assessing neuroendocrine differentiation based on histopathologic criteria that are often flawed owing to the heterogeneity of neuroendocrine differentiation (7, 8). Furthermore, we found that CD9-containing vesicles decrease significantly upon enzalutamide treatment and that NEPC is associated with lower CD9 amplification, lower mRNA expression, and low CD9-positive vesicles suggesting that the amount of CD9-positive vesicles may act as an indicator of neuroendocrine differentiation induction in CRPC. Previous studies have associated CD9-positive vesicles with advanced metastatic prostate cancer (50). A limitation of our study was limited number of CRPC-NE samples. Our current findings need to be validated in larger cohorts.

In conclusion, our study has important clinical implications and transformative potential as it identifies BRN4 as an important player in NEPC/therapy-induced neuroendocrine differentiation. We propose that selective modulation of BRN4 can be exploited to prevent neuroendocrine differentiation induction. Importantly, we identified novel, noninvasive, EV biomarkers for detection and neuroendocrine differentiation prediction that can potentially improve clinical management of CRPC.

No potential conflicts of interest were disclosed.

The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH and DoD.

Conception and design: D. Bhagirath, R. Dahiya, S. Saini

Development of methodology: D. Bhagirath, R. Dahiya, S. Saini

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): D. Bhagirath, T.L. Yang, Z.L. Tabatabai, S. Majid, S. Saini

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): D. Bhagirath, S. Majid, Y. Tanaka, S. Saini

Writing, review, and/or revision of the manuscript: D. Bhagirath, S. Saini

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): D. Bhagirath, T.L. Yang, Z.L. Tabatabai, R. Dahiya, Y. Tanaka, S. Saini

Study supervision: S. Saini

We thank Dr. Roger Erickson for his support and assistance with preparation of the article. We acknowledge Michael Liston for his help with graphical representation in Fig. 6. This work is supported by the U.S. Army Medical Research Acquisition Activity Prostate Cancer Research Program award no. W81XWH-18-1-0303 and NCI of the NIH under award no. R01CA177984 and UO1CA184966. In addition, this work is supported by award no. K6BX004473 (Department of Veterans Affairs) and W81XWH-18-2-0015, W81XWH-18-2-0016, W81XWH-18-2-0017, W81XWH-18-2-0018, and W81XWH-18-2-0019 (Prostate Cancer Biorepository Network).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Siegel
RL
,
Miller
KD
,
Jemal
A
. 
Cancer statistics, 2019
.
CA Cancer J Clin
2019
;
69
:
7
34
.
2.
Knudsen
KE
,
Scher
HI
. 
Starving the addiction: new opportunities for durable suppression of AR signaling in prostate cancer
.
Clin Cancer Res
2009
;
15
:
4792
8
.
3.
Shen
MM
,
Abate-Shen
C
. 
Molecular genetics of prostate cancer: new prospects for old challenges
.
Genes Dev
2010
;
24
:
1967
2000
.
4.
Scher
HI
,
Fizazi
K
,
Saad
F
,
Taplin
ME
,
Sternberg
CN
,
Miller
K
, et al
Increased survival with enzalutamide in prostate cancer after chemotherapy
.
N Engl J Med
2012
;
367
:
1187
97
.
5.
Watson
PA
,
Arora
VK
,
Sawyers
CL
. 
Emerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer
.
Nat Rev Cancer
2015
;
15
:
701
11
.
6.
Culig
Z
. 
Molecular mechanisms of enzalutamide resistance in prostate cancer
.
Curr Mol Biol Rep
2017
;
3
:
230
5
.
7.
Aggarwal
R
,
Zhang
T
,
Small
EJ
,
Armstrong
AJ
. 
Neuroendocrine prostate cancer: subtypes, biology, and clinical outcomes
.
J Natl Compr Canc Netw
2014
;
12
:
719
26
.
8.
Aggarwal
RR
,
Small
EJ
. 
Small-cell/neuroendocrine prostate cancer: a growing threat?
Oncology
2014
;
28
:
838
40
.
9.
Aggarwal
R
,
Huang
J
,
Alumkal
JJ
,
Zhang
L
,
Feng
FY
,
Thomas
GV
, et al
Clinical and genomic characterization of treatment-emergent small-cell neuroendocrine prostate cancer: a multi-institutional prospective study
.
J Clin Oncol
2018
;
36
:
2492
503
.
10.
Aparicio
AM
,
Shen
L
,
Tapia
EL
,
Lu
JF
,
Chen
HC
,
Zhang
J
, et al
Combined tumor suppressor defects characterize clinically defined aggressive variant prostate cancers
.
Clin Cancer Res
2016
;
22
:
1520
30
.
11.
Beltran
H
,
Prandi
D
,
Mosquera
JM
,
Benelli
M
,
Puca
L
,
Cyrta
J
, et al
Divergent clonal evolution of castration-resistant neuroendocrine prostate cancer
.
Nat Med
2016
;
22
:
298
305
.
12.
Beltran
H
,
Rickman
DS
,
Park
K
,
Chae
SS
,
Sboner
A
,
MacDonald
TY
, et al
Molecular characterization of neuroendocrine prostate cancer and identification of new drug targets
.
Cancer Discov
2011
;
1
:
487
95
.
13.
Dardenne
E
,
Beltran
H
,
Benelli
M
,
Gayvert
K
,
Berger
A
,
Puca
L
, et al
N-Myc induces an EZH2-mediated transcriptional program driving neuroendocrine prostate cancer
.
Cancer Cell
2016
;
30
:
563
77
.
14.
Lotan
TL
,
Gupta
NS
,
Wang
W
,
Toubaji
A
,
Haffner
MC
,
Chaux
A
, et al
ERG gene rearrangements are common in prostatic small cell carcinomas
.
Mod Pathol
2011
;
24
:
820
8
.
15.
Maina
PK
,
Shao
P
,
Liu
Q
,
Fazli
L
,
Tyler
S
,
Nasir
M
, et al
c-MYC drives histone demethylase PHF8 during neuroendocrine differentiation and in castration-resistant prostate cancer
.
Oncotarget
2016
;
7
:
75585
602
.
16.
Lee
JK
,
Phillips
JW
,
Smith
BA
,
Park
JW
,
Stoyanova
T
,
McCaffrey
EF
, et al
N-Myc drives neuroendocrine prostate cancer initiated from human prostate epithelial cells
.
Cancer Cell
2016
;
29
:
536
47
.
17.
Beltran
H
,
Oromendia
C
,
Danila
DC
,
Montgomery
B
,
Hoimes
C
,
Szmulewitz
RZ
, et al
A phase II trial of the aurora kinase A inhibitor alisertib for patients with castration-resistant and neuroendocrine prostate cancer: efficacy and biomarkers
.
Clin Cancer Res
2019
;
25
:
43
51
.
18.
Delta-like protein 3 is a target in neuroendocrine prostate cancer
.
Cancer Discov
2019
;
9
:
577
.
19.
Puca
L
,
Gavyert
K
,
Sailer
V
,
Conteduca
V
,
Dardenne
E
,
Sigouros
M
, et al
Delta-like protein 3 expression and therapeutic targeting in neuroendocrine prostate cancer
.
Sci Transl Med
2019
;
11
.
doi: 10.1126/scitranslmed.aav0891
.
20.
Thoma
C
. 
Targeting DLL3 in neuroendocrine prostate cancer
.
Nat Rev Urol
2019
;
16
:
330
.
21.
Chang
YK
,
Srivastava
Y
,
Hu
C
,
Joyce
A
,
Yang
X
,
Zuo
Z
, et al
Quantitative profiling of selective Sox/POU pairing on hundreds of sequences in parallel by Coop-seq
.
Nucleic Acids Res
2017
;
45
:
832
45
.
22.
Ishii
J
,
Sato
H
,
Yazawa
T
,
Shishido-Hara
Y
,
Hiramatsu
C
,
Nakatani
Y
, et al
Class III/IV POU transcription factors expressed in small cell lung cancer cells are involved in proneural/neuroendocrine differentiation
.
Pathol Int
2014
;
64
:
415
22
.
23.
Jerabek
S
,
Merino
F
,
Scholer
HR
,
Cojocaru
V
. 
OCT4: dynamic DNA binding pioneers stem cell pluripotency
.
Biochim Biophys Acta
2014
;
1839
:
138
54
.
24.
Andersen
B
,
Rosenfeld
MG
. 
POU domain factors in the neuroendocrine system: lessons from developmental biology provide insights into human disease
.
Endocr Rev
2001
;
22
:
2
35
.
25.
Bishop
JL
,
Thaper
D
,
Vahid
S
,
Davies
A
,
Ketola
K
,
Kuruma
H
, et al
The master neural transcription factor BRN2 is an androgen receptor-suppressed driver of neuroendocrine differentiation in prostate cancer
.
Cancer Discov
2017
;
7
:
54
71
.
26.
Diss
JK
,
Faulkes
DJ
,
Walker
MM
,
Patel
A
,
Foster
CS
,
Budhram-Mahadeo
V
, et al
Brn-3a neuronal transcription factor functional expression in human prostate cancer
.
Prostate Cancer Prostatic Dis
2006
;
9
:
83
91
.
27.
Mathis
JM
,
Simmons
DM
,
He
X
,
Swanson
LW
,
Rosenfeld
MG
. 
Brain 4: a novel mammalian POU domain transcription factor exhibiting restricted brain-specific expression
.
EMBO J
1992
;
11
:
2551
61
.
28.
Sobol
SE
,
Teng
X
,
Crenshaw
EB
 III
. 
Abnormal mesenchymal differentiation in the superior semicircular canal of brn4/pou3f4 knockout mice
.
Arch Otolaryngol Head Neck Surg
2005
;
131
:
41
5
.
29.
Thery
C
,
Zitvogel
L
,
Amigorena
S
. 
Exosomes: composition, biogenesis and function
.
Nat Rev Immunol
2002
;
2
:
569
79
.
30.
Giusti
I
,
Dolo
V
. 
Extracellular vesicles in prostate cancer: new future clinical strategies?
Biomed Res Int
2014
;
2014
:
561571
.
31.
Hessvik
NP
,
Sandvig
K
,
Llorente
A
. 
Exosomal miRNAs as biomarkers for prostate cancer
.
Front Genet
2013
;
4
:
36
.
32.
Valentino
A
,
Reclusa
P
,
Sirera
R
,
Giallombardo
M
,
Camps
C
,
Pauwels
P
, et al
Exosomal microRNAs in liquid biopsies: future biomarkers for prostate cancer
.
Clin Transl Oncol
2017
;
19
:
651
7
.
33.
Duijvesz
D
,
Luider
T
,
Bangma
CH
,
Jenster
G
. 
Exosomes as biomarker treasure chests for prostate cancer
.
Eur Urol
2011
;
59
:
823
31
.
34.
Skog
J
,
Wurdinger
T
,
van Rijn
S
,
Meijer
DH
,
Gainche
L
,
Sena-Esteves
M
, et al
Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers
.
Nat Cell Biol
2008
;
10
:
1470
6
.
35.
Valadi
H
,
Ekstrom
K
,
Bossios
A
,
Sjostrand
M
,
Lee
JJ
,
Lotvall
JO
. 
Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells
.
Nat Cell Biol
2007
;
9
:
654
9
.
36.
Lai
SL
,
Brauch
H
,
Knutsen
T
,
Johnson
BE
,
Nau
MM
,
Mitsudomi
T
, et al
Molecular genetic characterization of neuroendocrine lung cancer cell lines
.
Anticancer Res
1995
;
15
:
225
32
.
37.
Bhagirath
D
,
Yang
TL
,
Bucay
N
,
Sekhon
K
,
Majid
S
,
Shahryari
V
, et al
microRNA-1246 is an exosomal biomarker for aggressive prostate cancer
.
Cancer Res
2018
;
78
:
1833
44
.
38.
Robinson
D
,
Van Allen
EM
,
Wu
YM
,
Schultz
N
,
Lonigro
RJ
,
Mosquera
JM
, et al
Integrative clinical genomics of advanced prostate cancer
.
Cell
2015
;
162
:
454
.
39.
Cerami
E
,
Gao
J
,
Dogrusoz
U
,
Gross
BE
,
Sumer
SO
,
Aksoy
BA
, et al
The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data
.
Cancer Discov
2012
;
2
:
401
4
.
40.
Gao
J
,
Aksoy
BA
,
Dogrusoz
U
,
Dresdner
G
,
Gross
B
,
Sumer
SO
, et al
Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal
.
Sci Signal
2013
;
6
:
pl1
.
41.
Yuan
TC
,
Veeramani
S
,
Lin
FF
,
Kondrikou
D
,
Zelivianski
S
,
Igawa
T
, et al
Androgen deprivation induces human prostate epithelial neuroendocrine differentiation of androgen-sensitive LNCaP cells
.
Endocr Relat Cancer
2006
;
13
:
151
67
.
42.
Nguyen
HM
,
Vessella
RL
,
Morrissey
C
,
Brown
LG
,
Coleman
IM
,
Higano
CS
, et al
LuCaP prostate cancer patient-derived xenografts reflect the molecular heterogeneity of advanced disease an–d serve as models for evaluating cancer therapeutics
.
Prostate
2017
;
77
:
654
71
.
43.
Beltran
H
,
Tomlins
S
,
Aparicio
A
,
Arora
V
,
Rickman
D
,
Ayala
G
, et al
Aggressive variants of castration-resistant prostate cancer
.
Clin Cancer Res
2014
;
20
:
2846
50
.
44.
Mu
P
,
Zhang
Z
,
Benelli
M
,
Karthaus
WR
,
Hoover
E
,
Chen
CC
, et al
SOX2 promotes lineage plasticity and antiandrogen resistance in TP53- and RB1-deficient prostate cancer
.
Science
2017
;
355
:
84
8
.
45.
Yu
X
,
Cates
JM
,
Morrissey
C
,
You
C
,
Grabowska
MM
,
Zhang
J
, et al
SOX2 expression in the developing, adult, as well as, diseased prostate
.
Prostate Cancer Prostatic Dis
2014
;
17
:
301
9
.
46.
Rotinen
M
,
You
S
,
Yang
J
,
Coetzee
SG
,
Reis-Sobreiro
M
,
Huang
WC
, et al
ONECUT2 is a targetable master regulator of lethal prostate cancer that suppresses the androgen axis
.
Nat Med
2018
;
24
:
1887
98
.
47.
Zhang
Y
,
Li
F
,
Liu
L
,
Jiang
H
,
Hu
H
,
Du
X
, et al
Salinomycin triggers endoplasmic reticulum stress through ATP2A3 upregulation in PC-3 cells
.
BMC Cancer
2019
;
19
:
381
.
48.
Nicola
AM
,
Frases
S
,
Casadevall
A
. 
Lipophilic dye staining of Cryptococcus neoformans extracellular vesicles and capsule
.
Eukaryot Cell
2009
;
8
:
1373
80
.
49.
Wadosky
KM
,
Ellis
L
,
Goodrich
DW
. 
Evasion of targeted cancer therapy through stem-cell-like reprogramming
.
Mol Cell Oncol
2017
;
4
:
e1291397
.
50.
Soekmadji
C
,
Corcoran
NM
,
Oleinikova
I
,
Jovanovic
L
,
Australian Prostate Cancer Collaboration BioResource
,
Ramm
GA
, et al
Extracellular vesicles for personalized therapy decision support in advanced metastatic cancers and its potential impact for prostate cancer
.
Prostate
2017
;
77
:
1416
23
.