Drivers of AR indifferent anti-androgen resistance in prostate cancer cells

Handle, Florian; Prekovic, Stefan; Helsen, Christine; Van den Broeck, Thomas; Smeets, Elien; Moris, Lisa; Eerlings, Roy; Kharraz, Sarah El; Urbanucci, Alfonso; Mills, Ian G.; Joniau, Steven; Attard, Gerhardt; Claessens, Frank

doi:10.1038/s41598-019-50220-1

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Published: 24 September 2019

Drivers of AR indifferent anti-androgen resistance in prostate cancer cells

Scientific Reports volume 9, Article number: 13786 (2019) Cite this article

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Abstract

Inhibition of the androgen receptor (AR) by second-generation anti-androgens is a standard treatment for metastatic castration resistant prostate cancer (mCRPC), but it inevitably leads to the development of resistance. Since the introduction of highly efficient AR signalling inhibitors, approximately 20% of mCRPC patients develop disease with AR independent resistance mechanisms. In this study, we generated two anti-androgen and castration resistant prostate cancer cell models that do not rely on AR activity for growth despite robust AR expression (AR indifferent). They are thus resistant against all modern AR signalling inhibitors. Both cell lines display cross-resistance against the chemotherapeutic drug docetaxel due to MCL1 upregulation but remain sensitive to the PARP inhibitor olaparib and the pan-BCL inhibitor obatoclax. RNA-seq analysis of the anti-androgen resistant cell lines identified hyper-activation of the E2F cell-cycle master regulator as driver of AR indifferent growth, which was caused by deregulation of cyclin D/E, E2F1, RB1, and increased Myc activity. Importantly, mCRPC tissue samples with low AR activity displayed the same alterations and increased E2F activity. In conclusion, we describe two cellular models that faithfully mimic the acquisition of a treatment induced AR independent phenotype that is cross-resistant against chemotherapy and driven by E2F hyper-activation.

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Introduction

Androgen deprivation therapy is part of the first-line treatment for advanced prostate cancer, but it inevitably leads to the development of castration resistant prostate cancer (CRPC)^1,2. Interestingly, numerous studies have shown that the androgen receptor (AR) remains a crucial driver in CRPC³. The development of novel, highly potent second-generation anti-androgens such as enzalutamide⁴, apalutamide⁵, and darolutamide⁶ has been a major step towards more efficient inhibition of the AR. Enzalutamide is currently the most commonly used second-generation anti-androgen and confers a survival benefit in metastatic and non-metastatic CRPC patients^7,8,9. However, the efficacy of enzalutamide and other anti-androgens is limited by the rapid development of acquired resistance and numerous in vitro and in vivo models have been developed^{10,11,12,13,14,15,16}. These model systems together with corroborating clinical data from patients have led to the identification of a large variety of anti-androgen resistance mechanisms^17,18,19. These involve AR re-activation by mutation of the AR, expression of constitutively active splice variants, or intra-tumoural androgen synthesis¹⁸. In addition, the glucocorticoid receptor may take over the function of the AR (AR bypass) and drive the activity of the AR pathway^16,20. However, a subpopulation of patients display AR independent mechanisms of anti-androgen resistance that often involve neuroendocrine (NE) trans-differentiation and upregulation of MYCN (also known as N-Myc)^21,22. Interestingly, the use of the AR signalling inhibitors enzalutamide and abiraterone increased the number of non-neuroendocrine tumours that are independent of AR pathway activity to more than 20% of CRPC patients²³. Typically, AR independent PCa is associated with loss of AR expression but the groups of Beltran and Sawyers have recently described anti-androgen resistance mechanisms through an AR indifferent state, in which the cells do not depend on AR activity despite continued AR expression^24,25. The molecular adaptations that lead to such AR indifferent PCa cells remain elusive since the available AR indifferent models systems were generated by targeted methods (cell sorting, knockdown) and not in response to anti-androgen treatment^23,25,26.

In this study, we describe the independent generation of two distinct multi anti-androgen, castration, and chemotherapy resistant cell lines derived from LNCaP that show an androgen responsive, AR indifferent non-neuroendocrine phenotype that is driven by hyper-activation of the cell-cycle master regulator E2F due to multiple alterations in cyclin D/E, E2F1, RB1 and Myc signalling.

Results

Generation of two independent LNCaP derived cell lines with acquired resistance against modern anti-androgens

We independently treated the AR reliant prostate cancer cell line LNCaP with enzalutamide (ResA) and RD-162 (ResB) to generate two distinct anti-androgen resistant cell lines. Both long-term anti-androgen treated cell lines were highly resistant against the anti-androgenic effects of enzalutamide, RD-162, apalutamide, darolutamide, and abiraterone acetate (Fig. 1a) as well as against androgen deprivation (Fig. 1b). The IC50 values in LNCaP cells (enzalutamide: 152 nM, RD-162: 354 nM, apalutamide: 465 nM, darolutamide: >1 µM, abiraterone acetate: >1 µM) are in-line with previous reports^4,6. Of note, the proliferation of ResB cells was stimulated at low concentrations of most anti-androgens. This demonstrates that ResA and ResB cells have acquired a highly resistant phenotype against the most common clinically used therapies targeting the AR pathway.

Cross-resistance against docetaxel

The group of van Weerden has found that enzalutamide treatment can confer docetaxel cross-resistance¹¹, which may impact treatment sequencing in patients. Therefore, we measured the efficacy of paclitaxel and docetaxel on the proliferation of LNCaP, ResA, and ResB cells. Both anti-androgen resistant cell lines were partially cross-resistant against the growth inhibitory effects of both chemotherapeutic drugs, which was due to significantly reduced apoptosis induction in ResA and ResB cells (Fig. 2a,b and Supplementary Fig. 1). Functionally, we found significant upregulation of the anti-apoptotic gene MCL1 in both anti-androgen resistant cell lines (Fig. 2c). Interestingly, ResA and ResB cells remained sensitive to the PARP inhibitor olaparib and the pan-BCL2 inhibitor obatoclax (Fig. 2d), which may provide promising treatment options for highly therapy resistant patients.

ResA and ResB cells have a high tumour initiating and self-renewal potential

To confirm the anti-androgen resistant phenotype in vivo, we performed xenograft experiments in nude athymic mice. Tumours derived from ResA and ResB cells were completely resistant to enzalutamide and their median tumour doubling as well as engraftment rates were higher than in LNCaP cells (Fig. 3a, Supplementary Fig. 2a). Because the tumour initiating potential of individual cells is very variable in cell lines, we quantified the formation of para-, mero-, and holoclones using high-resolution colony formation assays. In contrast to LNCaP, both resistant cell lines readily formed colonies in presence of enzalutamide (Supplementary Fig. 2b). Importantly, the number of colonies associated with high tumour initiating/self-renewal capacity (mero- and holoclones)^27,28 was elevated in both anti-androgen resistant cells under normal growth conditions (Fig. 3b). In line with the increased clonogenic potential, we observed a high plasticity (>50% significantly deregulated genes) in the Hallmark “epithelial-to-mesenchymal transition” (EMT) gene signature (Fig. 3c) and a 30–40 fold upregulation of the mesenchymal marker VIM (also known as Vimentin). In addition, the spatial distribution and morphology (Supplementary Fig. 2c,d) of ResA and ResB cells was substantially altered compared to each other and LNCaP cells. Taken together, this demonstrates that ResA and ResB cells are distinctly different from each other and have an aggressive phenotype with altered morphology/EMT signature.

ResA and ResB cells have acquired an AR indifferent phenotype

Since LNCaP cells depend on AR activity, we characterized the alterations in AR signalling that enable ResA and ResB cells to grow in presence of enzalutamide. Surprisingly, AR protein expression was significantly reduced in both anti-androgen resistant cell lines (Fig. 4a) and nuclear AR localization was very low in ResA and ResB cells in normal enzalutamide containing growth medium (Supplementary Fig. 3a). We did not detect expression of the constitutively active AR-V7 splice variant, mutations of the AR, or induction of GR expression (Supplementary Fig. 3a–d). In line with this, the transcriptional AR activity was very low in ResA and ResB cells in presence of enzalutamide and during androgen deprivation (Fig. 4b, Supplementary Fig. 3e), suggesting a mechanism of resistance that does not involve global AR reactivation. Neuroendocrine differentiation is frequently associated with development of AR independence but there was no induction of a neuroendocrine signature in ResA and ResB cells (Fig. 4c). Surprisingly, both anti-androgen resistant cell lines were still transcriptionally responsive to androgen treatment (DHT only treatment, Fig. 4b). The magnitude of response in ResB cells was similar to LNCaP, whereas ResA cells had a much weaker response, which is in line with their low AR protein expression (Fig. 4a). As for the well-known biphasic androgen control of proliferation in LNCaP cells²⁹, ResA and ResB cells are less responsive to the growth promoting effects of low/intermediate androgen levels (Fig. 4d). R1881 treatment only led to a 30% increase in the proliferation rate of ResA and ResB cells at the maximum, whereas the growth rate of LNCaP cells was almost doubled. Of note, the anti-proliferative effects of high androgen concentrations were preserved since supraphysiological levels of the highly potent androgen R1881 strongly inhibited the growth of all cell lines (Fig. 4d). In the case of ResB, the switch from growth promoting to growth inhibiting responses was shifted to lower R1881 concentrations (10 pM) compared to LNCaP and ResA cells (40 pM). Taken together, both anti-androgen resistant cell lines express the AR and retain a certain level of androgen responsiveness but do not depend on AR activity for growth. This phenotype has been termed “AR indifferent” by other groups^24,25.

AR indifferent growth is associated with increased E2F activity

To identify the molecular alterations that enable the AR indifferent growth, we started with RNASeq transcriptome analysis of LNCaP, ResA, and ResB cells. Interestingly, only 30% of all significantly deregulated genes in ResA and ResB cells were found in both resistant cell lines (Fig. 5a and Supplementary Fig. 4a), which underlines the independent nature of ResA and ResB cells. To identify the drivers of the resistance we performed GSEA pathway analysis (Fig. 5b and Suppl. Table 1). Importantly, several cell-cycle related pathways (“E2F targets”, “G2M checkpoint”, “Myc targets”) were significantly enriched in the anti-androgen resistant cell lines. To confirm the clinical relevance of these pathways in PCa with low AR activity we evaluated a publicly available dataset³⁰ with 149 mCRPC tissue samples. We classified the samples based on the Hallmark “androgen response” signature by unsupervised clustering into two groups with high (73%) and low (27%) AR activity (Fig. 5c). Similar to the AR indifferent ResA and ResB cells, mCRPC samples with low AR activity had significantly increased expression scores for the “E2F targets” and “G2M checkpoint” signatures, whereas the “Myc targets” signatures showed opposite activity in patient and cell line samples. Importantly, the “E2F targets” and “G2M checkpoint” signatures are partially overlapping and the effects were predominantly caused by elevated E2F activity (Supplementary Fig. 4b). Taken together, this suggests that AR indifferent growth is facilitated by increased activity of E2F and subsequent induction of the pro-proliferative E2F target genes.

Reprogramming of the cell-cycle master regulators E2F1/RB

In normal cells, the transcriptional activity of E2F is predominantly regulated by phosphorylation of the negative regulator RB1 by cyclin D-CDK2/4 (mono-phosphorylation, activates RB1 and suppresses E2F activity) and cyclin E-CDK6 (hyper-phosphorylation, inactivates RB1 and leads to E2F target gene expression)³¹. We observed significant upregulation of CCNE1 and CCNE2 (cyclin E) in ResA cells and downregulation of CCND1 (cyclin D) in ResB cells (Fig. 6a). Importantly, we found the same significant alterations in cyclin D/E also in mCRPC samples with low AR activity. To identify whether the altered mRNA expression of these genes is caused by genomic alterations in the cell lines we performed copy number variation (CNV) analysis coupled with cytoband-specific gene set enrichment analysis (Fig. 6b). We did not observe alterations of CCNE1/2 but one copy of chromosome 11 was lost in ResB and might thus explain the reduced mRNA expression of CCND1 in this cell line. In addition, the mCRPC samples with low AR activity had increased expression of E2F1 and loss of RB1 expression, but we only found minor and mostly non-significant effects in ResA and ResB cells on mRNA level (Fig. 6a). However, on protein level nuclear expression of RB1 was significantly decreased in ResA cells, whereas E2F1 was significantly elevated in ResB cells (Fig. 6c). Since MYC is known to enhance the effect of E2F1³², we were interested whether the elevated Myc activity in ResB cells (Fig. 4b) may also play an essential role in the growth of this cell line. As expected, siRNA mediated MYC knockdown led to a reduction in the proliferation of all cell lines, but the effect was significantly stronger in ResB cells compared to LNCaP (Fig. 6d, Supplementary Fig. 4c). Taken together, these findings suggest that deregulation of the MYC/E2F1/RB1 cell-cycle regulator axis by various means is a ubiquitous event in AR indifferent prostate cancer that is necessary to overcome the G1 arrest caused by low AR activity.

Discussion

The development of more potent second-generation anti-androgens has led to an increase in non-neuroendocrine tumours that are independent from AR pathway activity²³. However, the molecular adaptations that lead to this sub-type of CRPC remain elusive due to the lack of well-characterized models that faithfully recapitulate the development of this phenotype. In this study, we describe the independent generation of two distinct anti-androgen resistant cell lines with an “AR indifferent” phenotype^24,25. These cells express the AR and are partially androgen responsive at the transcriptional and proliferative level (Fig. 4). However, ResA and ResB cells show robust growth in presence of enzalutamide and during androgen deprivation (Fig. 1) although they have very low AR activity under these conditions (Fig. 4b). This AR-activity independent growth of ResA and ResB cells might also explain the low growth induction by low/intermediate R1881 levels since the cells already grow close to their maximum potential in androgen deprived medium (Figs 1b and 4d). In contrast, the enzalutamide and abiraterone resistant cell lines developed by Hoefer et al. and Puhr et al.^13,16 have become resistant via mechanisms involving AR upregulation, induction of AR-V7 or GR dependent AR-bypass mechanisms, thus maintaining their dependency on AR/GR activity. Importantly, Puhr et al. found a strong induction of the GR in their enzalutamide resistant LNCaP cells¹⁶, which was not observed in the LNCaP derived ResA and ResB cell lines generated in this study (Supplementary Fig. 3d). This suggests that LNCaP cells can utilize a variety of resistance mechanisms to escape anti-androgen treatment by stochastic adaptation to the treatment rather than pre-determined cell type specific resistance mechanisms.

PCa cells with low AR activity have been associated with high self-renewal and tumour initiating capacity²⁶ and both anti-androgen resistant cell lines had higher tumour take rates, an altered EMT signature, and formed more mero- and holoclones (Fig. 3), known to contain stem-like cells^27,28. Due to their AR indifferent phenotype, ResA and ResB cells were highly resistant against all tested anti-androgens as well as androgen deprivation (Fig. 1a,b). Of note, the parental LNCaP cells were already partially resistant to the anti-androgen darolutamide due to the T877A mutation found in LNCaP⁶ and the CYP17 inhibitor abiraterone acetate was only active as a direct AR antagonist at high concentrations.

We observed that low anti-androgen concentrations increased the proliferation rate of ResB cells (Fig. 1a) in medium supplemented with androgen containing normal FCS, suggesting an anti-androgen withdrawal effect in ResB but not ResA cells^33,34. Interestingly, enzalutamide on its own did not induce AR activity (Fig. 4b) in androgen deprived medium and the AR did not contain mutations that would convert enzalutamide into an agonist (Supplementary Fig. 3c). In this context it is essential to note that the biphasic androgen response²⁹ was altered in ResB cells. They were strongly inhibited at androgen concentrations that led to optimal growth of LNCaP cells, whereas ResA cells showed no alteration in the dose dependency of the biphasic androgen response (Fig. 4d). We propose that low amounts of AR inhibitors can partially antagonize the androgen levels found in normal cell culture medium and thus might shift the AR activity from growth inhibitory to growth promoting levels in ResB cells. Of note, a subpopulation of anti-androgen resistant CRPC tumours has recently been demonstrated to be vulnerable to high testosterone concentrations in a clinical (phase II) trial³⁵. The anti-androgen resistant cell lines developed in this study might be ideal models to study this innovative treatment option for late stage CRPC due to their difference in sensitivity.

Importantly, we confirmed the findings of van Soest et al.¹¹ that enzalutamide treatment can confer docetaxel cross-resistance (Fig. 2a). This was caused by MCL1 mediated apoptosis resistance in the anti-androgen resistant cell lines (Fig. 2b,c), which corroborates that AR inactivation leads to MCL1 upregulation³⁶. An additional mechanism of docetaxel resistance might be that the AR indifferent phenotype of the anti-androgen resistant cell lines confers insensitivity to docetaxel mediated AR inhibition³⁷. AR signalling inhibitors and taxane based chemotherapies are the most commonly used systemic treatments for mCRPC¹, which demonstrates the urgent need for novel therapeutic options for treatment induced cross-resistance. Of note, both anti-androgen resistant cell lines remained fully sensitive to treatment with the PARP inhibitor olaparib (causes synthetic lethality in cells with impaired DNA repair) and the pan BCL-2 inhibitor obatoclax (can overcome MCL1 mediated apoptosis resistance, Fig. 2d).

Anti-androgens induce G1 cell-cycle arrest in androgen dependent cells³⁸, thus alterations in G1 checkpoint control may reduce AR dependency in cell-cycle progression. We found significant enrichment of the G1 associated cell-cycle control associated E2F and MYC target signatures in the anti-androgen resistant cell lines (Fig. 5b). Kumar et al. have previously found an inverse correlation between AR activity and E2F1 expression in mCRPC tissue samples³⁰ and re-analysis of this dataset with the same gene sets used for the analysis of ResA and ResB cells confirmed an increased E2F target gene signature in mCRPC samples with low AR activity (Fig. 5c). Interestingly, knockdown of TP53/RB1 in LNCaP/AR also led to an AR independent basal-like phenotype²⁵. In contrast, the group of Knudsen found that RB1 knockdown causes AR reactivation in a ligand independent manner³⁹. Mechanistically, we did not identify copy number aberrations in E2F1/RB1 that might cause increased E2F activity in ResA and ResB cells (Fig. 6b), whereas Kumar et al. observed a high frequency of genomic RB1 deletions in their mCRPC dataset³⁰. However, we found significant downregulation of cyclin D and upregulation of cyclin E in the anti-androgen resistant cell lines and mCRPC samples with low AR activity (Fig. 6a). Cyclin D-CDK4/6 is responsible for mono-phosphorylation of RB1, whereas cyclin E-CDK2 leads to RB1 hyper-phosphorylation³¹. Recently, Narasimha et al. have demonstrated that mono-phosphorylated RB1 is the active form that inhibits E2F1³¹, which suggests that the cyclin D/E alterations both lead to inactivation of RB1 and enhanced E2F activity. In addition, MYC activity was elevated in particular in the ResB cell line, which is known to enhance the transcriptional activity of E2F1³². MYC has been implicated in the development of enzalutamide resistance and increased Myc expression was correlated with shorter progression free survival in patients undergoing enzalutamide treatment^40,41,42.

In summary, our findings suggest that the MYC/E2F1/RB1 cell-cycle regulator axis is deregulated by a large number of diverse mechanisms in PCa cells with low AR activity, which leads to high E2F activity. We propose that this compensates the lack of AR mediated growth signals and drives the proliferation of AR indifferent PCa cells.

Materials and Methods

Cell culture

The cell lines LNCaP-FGC and 22Rv1 were obtained from ATCC and cultured as recommended. The ResA cell line was generated by passaging of LNCaP cells with increasing concentrations of enzalutamide at the current IC₅₀ value for 9.5 months whereas the ResB cell line was generated by continuous treatment with 10 µM RD-162 for 13 months. Importantly, both cell lines were generated independently from each other. Both cell lines were maintained in the same medium as LNCaP cells supplemented with 10 µM enzalutamide. The identity of LNCaP and both anti-androgen resistant cell lines was verified by comparison of the RNASeq data with the COSMIC database (Cell Lines Project v87)⁴³ and mycoplasma test were performed at least once every 6 months. All experiments were performed in normal growth medium (containing 10 µM enzalutamide for ResA and ResB cells) unless otherwise noted.

Proliferation measurements

The proliferation measurements were performed as described before⁴⁴ by live cell analysis (IncuCyte ZOOM, Essen BioScience) using a nuclear mKate2 fluorescent label.

For proliferation experiments we used apalutamide (HY-16060), darolutamide (HY-16985), paclitaxel (HY-B0015), olaparib (HY-10162), and obatoclax (HY-10969) from MedChemExpress as well as enzalutamide (Sequoia Research Products, SRP016825m; and MedChemExpress, HY-70002), RD-162 (Sequoia Research Products), abiraterone acetate (Sequoia Research Products, SRP00371a), R1881 (Perkin Elmer, NLP005), and docetaxel (Fluka, 01885).

Xenografts

Nude athymic mice (8–10 weeks old) were anesthetized with ketamine/xylazine and injected subcutaneously into each flank with 7.5 million cells suspended in matrigel (BD Biosciences, #356234). Once the tumour size reached ~200 mm³ the mice were treated with 10 mg/kg enzalutamide (dissolved in 1% Carboxymethyl cellulose, 0.1% Tween-80, and 10% DMSO) or vehicle by oral gavage on a daily basis. Tumour volume was monitored by calliper measurements every 4 days and the specific doubling rate was calculated by linear regression. The Ethical Committee for Animal Experimentation (ECD) of the KU Leuven approved all in vivo experiments (project number P078/2014) and the experiments were carried out in accordance with the relevant guidelines and regulations.

Apoptosis measurements

We incubated the cells with the CellEvent Caspase-3/7 Green Detection Reagent (Thermo Fisher Scientific, C10723) and measured the percentage of positive nuclei 48 hours after treatment with the IncuCyte ZOOM live cell imaging system. For UV induced apoptosis, we irradiated the cells suspended in PBS in an UVLink 1000 crosslinker (Analytik Jena).

Knockdown experiments

For siRNA mediated knockdown we transfected the cells with 30 pmol ON-TARGETplus SMARTpools (MYC: L-003282-02-0005; non-targeting control: D-001810-10) with Lipofectamine 3000 (Thermo Fisher Scientific, L3000015) and measured the proliferation rate as described.

Morphology analysis

Images from three independent biological replicates were acquired on an IncuCyte ZOOM live cell imaging system and the outline of each cell was manually marked. The aspect ratio and circularity of each cell was measured with ImageJ.

Spatial distribution analysis

Images from three independent biological replicates were acquired on an IncuCyte ZOOM live cell imaging system and the position of all cells was measured using a nuclear mKate2 fluorescent label. To determine the spatial distribution we determined how many cells are in close proximity (two nuclei diameters = 22 µm) to each cell. The data was summarized by calculating the average number of surrounding cells for each image and the total number of cells to correct for the cell density.

High-resolution colony formation assays

We incubated 1500 cells per T75 flask (coated with poly-L-lysine hydrobromide) for 14 days and stained the colonies with 0.5% crystal violet in 25% methanol. The flasks were filled with pure white starch and scanned on a flatbed scanner (HP, Scanjet G4010) at 4800 dpi. The colonies were classified into para-, mero-, and holoclones with the CATCH Colonies software (v0.4, www.catch-colonies.net), which was verified by manual classification of 170 colonies under a microscope.

Western blotting and subcellular fractionation

The cells were lysed in RIPA buffer supplemented with HALT protease inhibitor on ice and cleared by centrifugation for whole cell protein extraction. For subcellular fractionation the cells were resuspended in ice cold cytoplasmic lysis buffer (10 mM HEPES pH 7.9, 10 mM KCl, 1.5 mM MgCl₂, 340 mM Sucrose, 10% Glycerol, 1 mM DTT, HALT protease inhibitor) before addition of 0.1% Triton X-100 and incubation for 5 minutes on ice. The nuclei were collected by centrifugation at 1300 RCF for 4 minutes at 4 °C and separated from the cytoplasmic proteins in the supernatant. The nuclei were washed once with ice-cold cytoplasmic lysis buffer before addition of sample buffer and sonication. The proteins were separated on NuPAGE Novex 4–12% Bis-Tris Protein Gels (Thermo Fisher Scientific) and transferred to 0.45 µm PVDF membranes (GE Healthcare, #10600023). The following antibodies were used: AR (in-house made), AR-V7 specific (Cell signaling, #68492), GAPDH (Merck Millipore, MAB374), H2AX (Cell signaling, #7631), MYC (Cell signaling, #5605), E2F1 (Santa Cruz, sc-193), and RB (BD, #554136). Detection was performed with an ImageQuant Las4000 using the western lightning Plus-ECL reagent (Perkin Elmer, NEL104001EA) and HRP conjugated secondary antibodies (DAKO, P0448 and P0260).

Transcriptome analysis

Cells were seeded in DCC medium and after 24 hours they were treated with 10 nM DHT, 10 µM enzalutamide, a combination of the two, or vehicle (DMSO) for 18 hours. Total RNA was extracted with the RNAeasy plus mini kit (Qiagen, #74136) and RNA integrity was verified with an Agilent Bioanalyzer. The libraries for sequencing were generated with the TruSeq RNA Library Prep Kit according to the manufacturer’s recommendations and sequenced on a HiSeq 2500 System. The reads were mapped to the hg19 human reference genome using TopHat v1.3.3 with default settings. Differential gene expression and GSEA pathway analysis were performed with the Qlucore Omics Explorer v3.5. For analysis of mCRPC tissue samples a publicly available dataset generated by Kumar et al.³⁰ was downloaded from the NCBI Gene Expression Omnibus (GEO) database (GSE77930). Gene set activity scores were calculated in R with the GSVA package⁴⁵. For GSEA and GSVA analysis the Hallmark gene sets collection from the Molecular Signatures Database (MSigDB) was used. Unless otherwise noted all comparisons between the cell lines are at conditions similar to normal growth conditions (+DHT for LNCaP, +DHT and enzalutamide for ResA and ResB). All visualizations of the read coverage were performed with IGV⁴⁶.

Copy number variation (CNV) analysis

Genome-wide SNP genotyping was performed with Illumina CytoSNP arrays according to the manufactures recommendation and scanned on an iSCAN (Illumina). Genome-wide allele-specific copy number alterations were determined with ASCAT (v2.1)⁴⁷. GSEA analysis of the “C1: positional gene sets” from MSigDB was used to identify cytogenetic bands with significant deregulation (FDR < 0.05) in the anti-androgen resistant cell lines compared to untreated LNCaP.

Statistical analysis

R (v3.5.2) was used for the statistical analysis and all comparisons between two groups were done with Student’s t-Test. The Shapiro-Wilk Normality Test was used to confirm normal distribution of the samples in the xenograft experiment. P values lower than 0.05 were considered significant and indicated as follows: *P < 0.05, **P < 0.01, ***P < 0.001. All experiments have been performed in at least three biological replicates unless noted otherwise. Calculation of IC50 values was performed with the DRC package⁴⁸ in R. All error bars represent the 95% confidence interval.

Data Availability

The RNA sequencing data generated in this study has been deposited at the NCBI Gene Expression Omnibus (GEO) website (https://www.ncbi.nlm.nih.gov/geo/) with the accession number GSE130534.

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Acknowledgements

We would like to thank Hilde De Bruyn and Sofie De Block for their excellent support. This work was supported by the Fonds Wetenschappelijk Onderzoek-Vlaanderen (GOA9816N, G.0684.12N, G.0830.13N to F.C.), KU Leuven (GOA/15/017 to F.C.), Kom op tegen Kanker (to F.C.), Institute for Cancer Research at the Department of Tumor Biology within the Oslo University Hospital thanks to the Norwegian Cancer Society (198016-2018 to A.U.), by the Norwegian Research Council (230559 to I.G.M.), Movember Prostate Cancer UK Centre of Excellence (CEO13_2-004 to I.G.M.), and the John Black Charitable Foundation (to I.G.M.).

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Florian Handle and Stefan Prekovic contributed equally.

Authors and Affiliations

Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
Florian Handle, Stefan Prekovic, Christine Helsen, Thomas Van den Broeck, Elien Smeets, Lisa Moris, Roy Eerlings, Sarah El Kharraz & Frank Claessens
Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
Stefan Prekovic
Department of Urology, University Hospitals Leuven, Leuven, Belgium
Thomas Van den Broeck, Lisa Moris & Steven Joniau
Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
Alfonso Urbanucci
Centre for Molecular Medicine Norway, Nordic European Molecular Biology Laboratory Partnership, Forskningsparken, University of Oslo, Oslo, Norway
Ian G. Mills
Centre for Cancer Research and Cell Biology, Prostate Cancer UK/Movember Centre of Excellence for Prostate Cancer Research, Queen’s University, Belfast, UK
Ian G. Mills
Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
Ian G. Mills
UCL Cancer Institute, University College London, 72 Huntley Street, London, UK
Gerhardt Attard

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Florian Handle
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Stefan Prekovic
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Christine Helsen
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Thomas Van den Broeck
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Elien Smeets
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Lisa Moris
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Roy Eerlings
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Sarah El Kharraz
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Alfonso Urbanucci
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Ian G. Mills
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Steven Joniau
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Gerhardt Attard
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Frank Claessens
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Contributions

I.G.M., S.J., G.A. and F.C. designed the study. F.H., S.P., C.H. and F.C. conceived the experiments. F.H., S.P. and C.H. performed the experiments. F.H., S.P., C.H. and A.U. analysed the data. T.V.D.B., E.S., L.M., R.E. and S.E.K. provided materials and experimental support. F.H., S.P., C.H., T.V.D.B., E.S., L.M., R.E., S.E.K. and F.C. interpreted the results. F.H. wrote the manuscript. All authors reviewed, commented and approved the manuscript.

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Correspondence to Frank Claessens.

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Competing Interests

F.H., S.P., C.H., T.V.D.B., E.S., L.M., R.E., S.E.K., A.U., I.G.M., S.J., and F.C. declare no competing interests in relation to this study. G.A. is on the ICR list of rewards to inventors for abiraterone and has received honoraria, consulting fees, travel support or grant support from Abbott Laboratories, Arno Therapeutics, Astellas, AstraZeneca, Bayer Healthcare Pharmaceuticals, Essa Pharmaceuticals, Genentech, Innocrin Pharma, Ipsen, Janssen, Millennium Pharmaceuticals, Novartis, Pfizer, Roche/Ventana, Sanofi-Aventis, Takeda and Veridex.

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Handle, F., Prekovic, S., Helsen, C. et al. Drivers of AR indifferent anti-androgen resistance in prostate cancer cells. Sci Rep 9, 13786 (2019). https://doi.org/10.1038/s41598-019-50220-1

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Received: 01 August 2019
Accepted: 31 August 2019
Published: 24 September 2019
DOI: https://doi.org/10.1038/s41598-019-50220-1

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