Skp2 is a crucial component of SCFSkp2 E3 ubiquitin ligase and is often overexpressed in various types of cancer, including prostate cancer (PCa). The epithelial-to-mesenchymal transition (EMT) is involved in PCa progression. The acquisition of a mesenchymal phenotype that results in a cancer stem cell (CSC) phenotype in PCa was described. Therefore, we aimed to investigate the expression and localization of Skp2 in clinical samples from patients with PCa, the association of Skp2 with EMT status, and the role of Skp2 in prostate CSC. We found that nuclear expression of Skp2 was increased in patients with PCa compared to those with benign hyperplasia, and correlated with high Gleason score in PCa patients. Increased Skp2 expression was observed in PCa cell lines with mesenchymal and CSC-like phenotype compared to their epithelial counterparts. Conversely, the CSC-like phenotype was diminished in cells in which SKP2 expression was silenced. Furthermore, we observed that Skp2 downregulation led to the decrease in subpopulation of CD44+CD24 cancer stem-like cells. Finally, we showed that high expression levels of both CD24 and CD44 were associated with favorable recurrence-free survival for PCa patients. This study uncovered the Skp2-mediated CSC-like phenotype with oncogenic functions in PCa.


Prostate cancer is the second leading cause of cancer-related deaths in men in western countries1. Resistance to conventional treatments and the development of castration-resistant prostate cancer remain challenges of current prostate cancer therapies. The need for identification of new targets to treat this disease is therefore tremendous.

The epithelial-to-mesenchymal transition (EMT) is a physiological process during embryogenesis that may become reactivated in cancer. It is characterized by the loss of cell-to-cell adhesion and apical-basal polarity, and the gain of migratory behaviour2. EMT has been described as a crucial step in the progression and metastasis of prostate cancer3. Furthermore, the acquisition of a mesenchymal phenotype, concomitant with a cancer stem cell (CSC) phenotype, in prostate cancer has been shown previously4,5,6. EMT and CSCs play important roles in the development of drug resistance in cases of prostate cancer7.

CSCs have been described as a subset of cells within a heterogeneous tumor that share a number of features with normal stem cells. CSCs are characterized by self-renewal, the expression of specific surface markers, and aldehyde dehydrogenase (ALDH) activity8,9. CSCs are also involved in tumor initiation, metastasis, and chemoresistance10. The CSC marker CD24 has been described as a marker that distinguishes poorly differentiated cells from transit-amplifying cells in the basal layer of the human prostate11. Cells with a CD24CD44+ phenotype are commonly used to define prostate CSCs12,13.

The cyclin-dependent kinase inhibitor p27Kip1 was shown to control both stem cell renewal and EMT in embryonic stem cells14. Importantly, S-phase kinase-associated protein 2 (Skp2) is the main regulator of p27Kip1 protein stability15,16. High expression of Skp2 in tumors, accompanied by p27Kip1 downregulation, has been correlated with poor prognosis in cancer patients; Skp2 has also been implicated as a prognostic marker in many types of cancer, including prostate cancer17,18. Skp2 is a variable component of SCFSkp2 (Skp, Cullin, F-box containing complex) E3 ubiquitin ligase, which is responsible for recognizing many substrates that are targeted for degradation in the proteasome19. The mechanisms that control Skp2 expression are not fully understood20. In prostate cancer, putative regulatory mechanisms of Skp2 include those involving the androgen receptor21, PTEN17, and PI3K/Akt22. In mice, an essential role of Skp2 in the development of prostate cancer was described as overexpression of Skp2 in the prostate gland induced hyperplasia, dysplasia, and low-grade carcinoma23. Conversely, Skp2 inactivation, together with senescence-induced oncogenic stress, was shown to profoundly restrict tumorigenesis in vivo24.

The roles of Skp2 in both EMT and cancer stem-like cells in prostate cancer have not been fully elucidated. Herein, we show an association between elevated Skp2 levels and an EMT phenotype in patients with prostate cancer as well as in prostate cancer cell lines. Moreover, a mesenchymal phenotype was found to be associated with characteristics of cancer stem-like cells, including a DU 145 cell phenotype that was altered after Skp2 downregulation.

Material and Methods


DMSO (Sigma-Aldrich, St. Louis, MO, USA); 0.05% Trypsin-EDTA (GE Healthcare Life Sciences, Little Chalfont, UK); 1% BSA (Serva, Germany) in PBS with 0.01% NaN3 (Sigma-Aldrich); 0.25% Triton X-100 (Sigma-Aldrich) solution in PBS; 4% Paraformaldehyde solution (Sigma-Aldrich) in PBS; Aldehyde dehydrogenase-based cell detection kit (StemCell 01700); Fumitremorgin C (Abcam, ab144258); For detail specification regarding used antibodies - see Supplementary Tables S1S3).

Cell culture

DU 145 cells were obtained from ATCC and cultivated in RPMI 1640 (Thermo Fisher Scientific, TFS, Waltham, MA, USA) with 10% of fetal bovine serum (FBS; TFS), penicillin (100 U/ml) and streptomycin (0.1 mg/ml; Biosera, Nuaille, France). The epithelial and mesenchymal sublines were established from sorted single cell clones derived from Trop-2 positive or Trop-2 negative populations, as shown in Remsik et al.25. PC-3 cells were cultivated in Ham’s F12 media (TFS) with 10% of FBS, penicillin and streptomycin. E2 and cE2 murine prostate adenocarcinoma cells26 (a generous gift from Dr. Pradip Roy Burman, University of Southern California, Los Angeles, CA), were cultivated as described in26. PC-3 AC and PC-3 DR12 cells were obtained from prof. Watson (Dublin, Ireland) and cultivated as described27.

All cell lines were cultivated in TPP (Trasadingen, Switzerland) flasks and plates in a humidified incubator at 37 °C in an atmosphere of 5% CO2. The cells were harvested by washing with 0.05% EDTA in PBS followed by trypsinization (0.05% w/v trypsin/0.53 mM Trypsin-EDTA). The AmpFLSTR® Identifiler® PCR Amplification Kit (TFS) was used to verify the origin of cell lines.

Electrophoresis and western blotting

The procedure was performed as described previously28. Antibodies used for western blot are listed in Supplementary Table S1.

RNA isolation and qPCR analysis

Total RNA was isolated using a High Pure RNA Isolation Kit (Roche) and equal amounts of RNA were reverse transcribed using a High Capacity RNA-to-cDNA Kit (Life Technologies). Quantitative RT-PCR was carried out as described previously28 using TaqMan assays with primers and conditions specified in Supplementary Table S6. Relative changes in gene expression were calculated using the E-method based on real efficiency values obtained from calibration curves29.

Preparation of SKP2 KD cell lines

DU 145 were transfected with Skp2 p45 CRISPR/Cas9 KO Plasmid (h) (sc-400534) and Skp2 p45 CRISPR/Cas9 KO Plasmid HDR (sc-400534) using Lipofectamine 3000 (TFS) as recommended to prepare SKP2 KD cell lines or with Control CRISPR/Cas9 Plasmid (sc-418922, all SCBT) and empty vector pIRES puro2 (kindly provided by V. Bryja, Masaryk University, Brno, Czech Republic) to prepare control cells. Cells were selected in media with puromycin (300 ng/ml; TFS) for one week. RFP positive single cells (indicating insertion of the plasmid with puromycin resistance in a site of CRISPR deletion) were sorted using FACSAria II Sorp system using a 100-μm nozzle (20 psi) to obtain single cell-derived SKP2 KD clones. To prepare control cell lines, cells underwent the same procedure as SKP2 KD cells. Therefore, viable single cells were sorted. Post-sorting purity was determined immediately after sorting. The protein level of Skp2 in SKP2 KD and control cells was examined by western blot.

Spheroids formation assay

For spheroid formation assay, cells were seeded in semisolid media (0.1% agarose in complete culture media) on plates precoated with 0.5% agar and cultured for three weeks. Cells were seeded in low density, 500 cells/well in a 6-well plate. Spheroids were stained with MTT30 and counted using ImageJ software (NIH). For analysis of cancer stem cells markers in 3D, cells were seeded in high density (10 000 cells/well in 6 well plate) in semisolid media (0.1% agarose in complete culture media) on plates precoated with 0.5% agar and cultivated for three weeks. Spheroids were harvested, incubated with prewarmed PBS/EDTA and Trypsin to obtain a single cell suspension. Cells were then stained with antibodies according to standard procedure and analyzed on a flow cytometer.

Tumorsphere formation assay

For tumorsphere formation assay, cells were seeded in low density (500 cells per well) in stem cell growth medium in ultra-low attachment 6 well plates (Corning #3471) and were grown for two weeks. After two weeks, tumorspheres were stained with MTT30 and were analysed and counted using ImageJ software (NIH).

Flow cytometry analysis

Sample acquisition was performed with using FACSVerse (BD Biosciences). Flow cytometric data were analyzed using FlowJo software (Version 10.0.7, Tree Star, Ashland, OR, USA). Details about antibodies used are listed in Supplementary Table S2. Immunophenotype analysis was performed as described previously31. Cells were harvested using PBS/EDTA and Trypsin and stained with particular antibodies or probes. Cell cycle analysis was performed as described previously21. ALDH1 activity was analyzed according to manufacturer’s protocol and as described previously32. Dead cells, aggregates, and debris were excluded from analysis.

Cell painting and morphology analysis

The cells were seeded in density 50 000 cells/cm2 into 384 black well plate (4 wells per clone, Falcon, #353962) and grown for 2 days at standard conditions. Next, cells were stained with Hoechst 33342, concanavalin A, SYTO14, phalloidin, wheat germ agglutinin and MitoTracker as described previously33 with using epMotion 5075 (Eppendorf) liquid handling workstation. Images were acquired with using ImageXpress Micro (Molecular Devices) fluorescence microscope (40x objective). Briefly, 5 fluorescence channels – using DAPI, Cy3, GFP, TxRed, Cy5 filters were captured from 35 sites in each well or 1000 cells per well were acquired with adaptive acquisition set up. Spillovers of fluorescence from different channels were compensated by subtraction of dim signal based on single stained compensation controls. Representative images were artificially colored and scale bar was burned into images using ImageJ 1.51p (NIH). Acquired images were processed based on the original cell painting protocol33. Objects of nuclei, cytoplasm and whole cell areas were segmented and together 1785 features were calculated from 5 fluorescence channels on these three objects with using CellProfiler v2.2.0 software34. Data were scaled, missing data and constant values in specific features were removed before principal component analysis and t-SNE analysis (perplexity 1605, nr. of iterations 500, minimum cost value 0.5) were performed. Plots were produced in R (RStudio, Inc., Boston, MA, USA).

Tumorigenic potential of SKP2 KD cell lines

The colony of severe combined immunodeficient animals (Crl:SHO-PrKDscid/Hrhr) was acquired from Charles River (Sulzfeld, Germany) and maintained according to the ARRIVE guidelines. Cells were injected into the right flank (1 × 106 cells/mice; 10 mice per group) and six weeks after injection, mice were sacrificed. Tumour formation rate was then calculated for both control and SKP2 KD cells. The rate was calculated as a ratio of a number of mice inoculated with cancer cell and the number of mice bearing tumours. All procedures involving animals were performed according to the EU Directive 2010/63/EU for animal experiments and approved by the Academy of Sciences of the Czech Republic (AVCR 2013/13); supervised by the local ethical committee of the Institute of Biophysics of the Czech Academy of Sciences and performed by certified individuals.

Immunostaining of clinical samples

Retrospective analysis of tissue samples was performed in three independent sets of patients with prostate carcinoma. The main set included 187 tissue samples (33 samples of BPH, 101 samples of PCa, 35 samples of seminal vesicles and 18 positive lymph nodes). Samples were examined for expression of Skp2, E-Cadherin, and vimentin. The study was approved by the Ethics Committee of the University Hospital and Medical Faculty of Palacky University in Olomouc. Immunostaining was performed with validated antibodies after appropriate antigen retrieval (Supplementary Table S3). The specimens were assessed semi-quantitatively using the histoscore, considering the percentage of positive cells (0–100%) multiplied by staining intensity (0–3), which results in a final histoscore between 0 and 300.

Skp2 overexpression analysis

Cells were transfected using Neon transfection system (TFS) with control plasmid (pcDNA3.1) or pcDNA3-myc-Skp2 that was a gift from Axel Brunger (Addgene Plasmid #19947)35, incubated for two days and harvested for flow cytometric analysis to detect surface markers.

Survival data analysis

Data were retrieved from36, (GEO accession no. GSE21032). Data for recurrence-free survival were re-analysed and plotted in Prism (v6, GraphPad, La Jolla, California, United States) using the log-rank Mantel-Cox test. The threshold for CD24 and CD44 was set to ‘low 25%’.

Statistical analysis

Statistical analysis was performed using Prism (v6, GraphPad, La Jolla, California, United States) using Student´s t-test.


High nuclear Skp2 expression and mesenchymal phenotype is associated with high Gleason score in patients with prostate cancer

To confirm the role of Skp2 in prostate cancer progression, we performed a retrospective analysis of Skp2 expression in patients with benign hyperplasia and prostate carcinoma (Supplementary Tables S4 and S5). Our results show that the nuclear expression of Skp2 was significantly increased in prostate cancer tissues compared to benign hyperplasia tissues (Fig. 1A). High Gleason score (≥7) was associated with high nuclear, but not cytoplasmic, Skp2 expression (Fig. 1B and Supplementary Fig. 1). Moreover, a high Gleason score was associated with a mesenchymal phenotype, as demonstrated by decreased E-cadherin expression and increased vimentin expression (Fig. 1C). Thus, we showed that the nuclear expression of Skp2 is significantly increased in patients with a high Gleason score (≥7) whose cancer cells exhibit characteristics of the mesenchymal state.

Figure 1
Figure 1

Nuclear Skp2 expression is associated with a high Gleason score in prostate cancer patients. (A) Patient samples from primary prostate carcinoma and benign hyperplasia were stained with anti-Skp2 antibody. Magnification: 40×. (B) Correlation of Skp2 with Gleason score. (C) Correlation of EMT-related marker (E-cadherin and vimentin) expression with Gleason score.

Increased Skp2 is associated with the mesenchymal phenotype of prostate cancer cells

To assess the connection between Skp2 expression and a mesenchymal phenotype in prostate cancer cells, we employed three sets of prostate epithelial cell lines and their mesenchymal counterparts. To verify the epithelial characteristics of these cells, we confirmed the expression of both E-cadherin and Trop-2, which belongs to the same gene family as does EpCAM, and whose overexpression has been described in various human epithelial cancers. The induction of mesenchymal phenotype was defined by the expression of vimentin, N-cadherin and transcription repressor of E-cadherin, ZEB1. Moreover, we documented the differences in morphology of mesenchymal and epithelial sublines using cell painting protocol33 and unsupervised image analysis (Fig. 2A, Supplementary Fig. 2A,B).

Figure 2
Figure 2

Increased Skp2 expression is associated with the mesenchymal phenotype of prostate cancer cells. (A) Representative images of mesenchymal and epithelial DU 145 sublines, scale bar size 30 µm. The nuclei (Hoechst 33342), endoplasmic reticulum (Concanavalin A), nucleoli and cytoplasmic RNA (SYTO 14), actin, Golgi apparatus, plasma membrane (Phalloidin&WGA) and mitochondria (MitoTracker) were visualized according to cell painting protocol. (B) Expression of mesenchymal and epithelial markers and Skp2 in sublines of DU 145 cells by western blot. Representative images are from three independent experiments. β-actin was used as a loading control.

In the cell lines used, an EMT phenotype was induced by different processes. We compared human DU 145 epithelial and mesenchymal sublines (Fig. 2A,B, Supplementary Fig. 2A,B) that were previously prepared in our laboratory37. We then used age-control PC-3 cells (AC; epithelial) and docetaxel-resistant PC-3 cells (DR; mesenchymal), in which the acquisition of docetaxel resistance was accompanied by EMT27 (Supplementary Fig. 2C). Lastly, we employed mouse prostate adenocarcinoma cell lines with a biallelic PTEN depletion: cE2 (epithelial, androgen independent) and E2 (mesenchymal, androgen-dependent)26,28. We found that the mesenchymal phenotype of prostate cancer cells was accompanied by an increase in Skp2 levels in all selected pairs of cell lines (Fig. 2B, Supplementary Fig. 2C).

Mesenchymal DU145 cells exhibit characteristics of cancer stem-like cells

The properties of cancer stem-like cells were further investigated in epithelial and mesenchymal sublines established from DU 145 cells. We observed that mesenchymal cells are enriched in a CD44+CD24 cancer stem cell subpopulation (Fig. 3A,B and Supplementary Fig. 3C). Downregulation of CD24 in mesenchymal cells was confirmed on both protein level (Supplementary Fig. 3A) and at the mRNA level (Supplementary Fig. 3B). To examine the CSC-like properties of the cells, epithelial and mesenchymal cells were seeded at low densities in semisolid media to examine their ability to grow in anchorage-independent conditions and form spheroids. The cancer stem-like cell phenotype of the mesenchymal cells was illustrated by their increased ability to form spheroids (Fig. 3C,D). This phenomenon was not caused by increased proliferation, as there were no differences in proliferation between mesenchymal and epithelial cells (Supplementary Fig. 3D). Further, the mesenchymal and epithelial sublines were seeded into a stem cell culture media and tumorsphere formation assay was performed. We observed a trend of increased tumorsphere formation rate in mesenchymal cells compared to epithelial cells (Supplementary Fig. 3E). Importantly, the size of the tumorspheres was significantly increased in mesenchymal cells (Supplementary Fig. 3F). The cancer stem-like properties of mesenchymal DU 145 cells were further confirmed by the increased activity of ALDH1 (Fig. 3E). Thus, we showed that DU 145 cells with a mesenchymal phenotype and high expression of Skp2 exhibit CSC characteristics compared to their epithelial counterparts.

Figure 3
Figure 3

DU 145 cells with a mesenchymal phenotype are considered cancer stem-like cells. (A) Analysis of CD44 and CD24 markers in mesenchymal and epithelial DU 145 cells using flow cytometry. Dot plots show representative results from three independent experiments. (B) Quantitation of results shown in (A). Bars show the mean ± SD of the percentage of CD44+CD24 cancer stem-like cells (n = 3). (C) Spheroid formation and growth in anchorage-independent conditions in DU 145 mesenchymal and epithelial cells. (D) Quantitation of results shown in (C). Data are shown as the mean ± SD of the number of spheroids per well. Results are from three independent repetitions. (E) ALDH1 activity in DU 145 mesenchymal and epithelial sublines. Data are presented as the mean ± SD of the percentage of cells with active ALDH1. Results are from three independent repetitions.

Decreased clonogenic and tumorigenic potential of DU 145 SKP2 KD cells is accompanied by decreased CD44+CD24 CSC-like subpopulation

To further ascertain the role of Skp2 in cancer stem-like cells, we decided to knock down Skp2 expression in DU 145 mesenchymal cells (DU 145 SKP2 KD cells; Fig. 4A) and to analyze their tumorigenic capacity in vitro and in vivo. Silencing of Skp2 resulted in the accumulation of its substrate p27Kip1 (Fig. 4A). When detecting single markers, CD24+ and CD44+ cells were more abundant in SKP2 KD (Supplementary Fig. 4A) and also mRNA levels were increased in SKP2 KD cells (Supplementary Fig. 4B). However, when we investigated the size of CD44+CD24 cancer stem-like subpopulation, we observed its significant downregulation (Fig. 4B,C and Supplementary Fig. 4A). We then examined the ability of these cells to grow in the anchorage-independent conditions and form spheroids. We found that the sphere-forming ability of SKP2 KD cells was significantly decreased (Fig. 4D,E), whereas Skp2 knock-down itself did not impair cellular proliferation (Supplementary Fig. 4C). When we performed the tumorsphere assay, we observed significantly decreased tumorsphere size and formation rate in SKP2 KD cells compared to control cells (Supplementary Fig. 4D,E). Next, SKP2 KD cells were injected into immunodeficient mice, and the rate of xenograft formation was recorded. Our results showed that Skp2 knock-down significantly decreased the tumorigenic potential of DU 145 mesenchymal cells (Fig. 4F). Furthermore, the activity of ALDH1 was decreased in these cells (Fig. 4G). In conclusion, our data confirm that Skp2 silencing decreases the tumorigenic potential of mesenchymal DU 145 cells and affects the functional properties of cancer stem-like cells.

Figure 4
Figure 4

Decreased clonogenic and tumorigenic potential of mesenchymal DU 145 SKP2 KD cells is accompanied by a decrease of CD44+CD24 cancer stem cell subpopulation. (A) Skp2 and p27Kip1 expression in SKP2 KD cells were determined by western blot. Representative images are from three independent experiments. β-actin was used as a loading control. (B) Analysis of CD44 and CD24 markers in control and SKP2 KD cells using flow cytometry. Dot plots show representative results from three independent experiments. (C) Quantitation of results shown in (B). Data are presented as the mean ± SD of the percentage of CD44+CD24 cancer stem-like cells (n = 3). (D) The capability of spheroid formation and growth in anchorage-independent conditions in SKP2 KD cells and control cells. (E) Quantitation of results shown in (D). Data are shown as the mean ± SD of the number of spheroids per well. Results are from three independent repetitions. (F) The xenograft formation rate of SKP2 KD cells in SHO mice. Tumour formation rate was then calculated for control and SKP2 KD cells. A number of mice per group, n = 10. (G) ALDH1 activity in DU 145 mesenchymal cells with Skp2 knocked down. Data are presented as the mean ± SD of the percentage of cells with active ALDH1. Results are from three independent experiments.

Skp2 overexpression induces a decrease of CD24 in DU 145 but no change in CD44+CD24

In our study, we observed a negative correlation between the decreased expression of Skp2 and the CD44+CD24 phenotype in epithelial DU 145 cells compared to their mesenchymal counterparts (Figs 2B and 3A,B). Importantly, CD44+CD24 subpopulation was decreased in DU 145 SKP2 KD cells (Fig. 4B,C). Therefore, we hypothesized that Skp2 overexpression leads to increased CD44+CD24 subpopulation in the DU 145 parental cell line. Indeed, in cells with transient Skp2 overexpression (Supplementary Fig. 5A), we observed a decrease in the percentage of CD24+ cells and a trend of increased percentage of CD44+CD24 CSC-like subpopulation (Supplementary Fig. 5B). Thus, we showed that Skp2 is important for maintaining the cancer stem-like phenotype of DU 145 mesenchymal cells in term of the CD44+CD24 phenotype.

Our results suggest that the high expression of CD24 is linked to the epithelial and less aggressive phenotype of metastatic prostate cancer cells, accompanied by the low expression of Skp2. Conversely, low CD24 expression is linked to the mesenchymal phenotype of metastatic prostate cancer cells that have characteristics of cancer stem-like cells associated with high Skp2 expression. As Skp2 overexpression has been correlated with poor prognosis in prostate cancer patients, we wanted to reveal whether high CD24 expression would be associated with a better prognosis. To investigate the association of CD24 and CD44 expression with recurrence-free survival, we analyzed cohorts of prostate cancer patients36 and confirmed that high expression levels of both markers (CD24 and CD44) were associated with favourable recurrence-free survival (Fig. 5).

Figure 5
Figure 5

CD24 and CD44 expression is associated with better prognosis for prostate cancer patients. The graphs show an analysis of recurrence-free survival analysis in a cohort of prostate cancer patients, according to high or low CD24 (left), CD44 (middle), and CD24CD44 (right) expression levels. Data were retrieved from36. Data were plotted and reanalyzed using Prism (v6, GraphPad) using the log-rank Mantel-Cox test. The threshold for CD24 and CD44 was set to ‘low 25%’.


In our work, we showed that Skp2 expression was increased in cancerous prostate tissue compared to benign prostate tissue, specifically in tumours with a high Gleason score (≥7). Poorly differentiated tumours also had lower expression levels of E-cadherin and higher levels of vimentin, suggesting the ongoing EMT of prostate cancer cells.

Our results confirmed that Skp2 expression was increased in mesenchymal prostate cancer cells compared to their epithelial counterparts. Yet, the acquisition of the mesenchymal phenotype was associated with increased Skp2 expression in paclitaxel-resistant breast cancer cells38 and TGF-β1-induced EMT in melanoma cells39. Importantly, Ruan et al. revealed that Skp2 regulates progression of castration-resistant prostate cancer through Twist-mediated oncogenic functions including EMT and CSC acquisitions6.

We demonstrated that the mesenchymal state of DU 145 cells exhibited CSC properties: increased CD44+CD24 subpopulation, increased ability to form spheroids, and high ALDH1 activity. These results are consistent with the acquisition of the CSC phenotype, which correlates with the mesenchymal state of the cancer cells. The CD44+CD24 phenotype has been associated with CSCs, and the mesenchymal phenotype has been observed in several cancers, including breast cancer40,41, ovarian cancer42, and oral squamous carcinoma43. Similarly, prostate cancer cells with the CD44+CD24 phenotype have been described as mesenchymal44. These results are in agreement with the work of Cremers et al. who showed that CD24 was not required for tumour initiation and growth in murine models of breast cancer and prostate cancer45. The mesenchymal state caused by docetaxel resistance in DU 145 and PC3 cells was linked to the acquisition of the CD44+CD24 phenotype4,5. Further, it was shown that the overexpression of the mesenchymal-related genes ZEB1 and VIM correlated with shorter radiologic progression, whereas low expression levels of CD24 correlated with shorter biochemical recurrence-free survival of patients with prostate cancer5.

To further assess the role of Skp2 in the tumorigenesis of the prostate cancer stem-like cells, we employed DU 145 cells in which SKP2 had been knocked down. We confirmed that the knock-down of Skp2 significantly reduced the ability of these cells to form spheroids in vitro and decreased tumorigenic potential in vivo. Our findings are in agreement with the work of Lu et al. who found that Skp2 deficiency led to the suppression of prostate tumorigenesis46. These authors showed that Skp2 was involved in tumorigenesis via the repression of H3K4-specific demethylase JARID1B. Another study showed that Skp2 deficiency blocked tumorigenesis in the pRb/p53 double-deficient prostate tissue, suggesting that Skp2 was a promising target for drug treatment in pRb/p53-deficient tumours47. In addition to the decreased tumorigenicity of SKP2 KD cells, we observed the decrease in percentage representation of CD44+CD24 subpopulation and the decreased activity of ALDH1. These findings are in line with those of Zhao et al., where Skp2 downregulation or its pharmacological inhibition decreased the activity of ALDH147.

Analysis of biochemical recurrence-free survival revealed that high expression levels of CD24 and CD44 were associated with a better prognosis for patients. These findings are in line with the work of Marin-Aguilera et al. who showed that low mRNA levels of CD24 correlated with shorter biochemical recurrence-free survival of patients with prostate cancer5. A decreased number of CD24-positive cells were also associated with the mesenchymal phenotype and DU 145 cell chemoresistance5,48. Furthermore, prostate cancer cells with low CD24 expression levels displayed high tumorigenic potential49, which is in line with our findings.


In conclusion, we showed that the nuclear expression of Skp2 is associated with a high Gleason score. High Skp2 expression is further associated with the mesenchymal phenotype in prostate cancer patients and in vitro. Our results demonstrated that high expression levels of Skp2 were associated with the mesenchymal state and CSC characteristics. Lastly, we showed an inverse relationship between Skp2 expression and CD44+CD24 cancer stem-like subpopulation, suggesting that Skp2 is a promising marker for prostate cancer susceptibility. In overall, we demonstrated the potential of Skp2 targeting in prostate cancer treatment.

Additional information

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


  1. 1.

    Siegel, R. L., Miller, K. D. & Jemal, A. Cancer statistics, 2018. CA Cancer J Clin 68, 7–30, https://doi.org/10.3322/caac.21442 (2018).

  2. 2.

    Oskarsson, T., Batlle, E. & Massague, J. Metastatic stem cells: sources, niches, and vital pathways. Cell Stem Cell 14, 306–321, https://doi.org/10.1016/j.stem.2014.02.002 S1934–5909(14)00053-8 (2014).

  3. 3.

    Sethi, S., Macoska, J., Chen, W. & Sarkar, F. H. Molecular signature of epithelial-mesenchymal transition (EMT) in human prostate cancer bone metastasis. Am J Transl Res 3, 90–99 (2010).

  4. 4.

    Puhr, M. et al. Epithelial-to-mesenchymal transition leads to docetaxel resistance in prostate cancer and is mediated by reduced expression of miR-200c and miR-205. Am J Pathol 181, 2188–2201, https://doi.org/10.1016/j.ajpath.2012.08.011 S0002–9440(12)00653-0 (2012).

  5. 5.

    Marin-Aguilera, M. et al. Epithelial-to-mesenchymal transition mediates docetaxel resistance and high risk of relapse in prostate cancer. Mol Cancer Ther 13, 1270–1284, https://doi.org/10.1158/1535-7163.MCT-13-0775 (2014).

  6. 6.

    Ruan, D. et al. Skp2 deficiency restricts the progression and stem cell features of castration-resistant prostate cancer by destabilizing Twist. Oncogene 36, 4299–4310, https://doi.org/10.1038/onc.2017.64 (2017).

  7. 7.

    Li, P., Yang, R. & Gao, W. Q. Contributions of epithelial-mesenchymal transition and cancer stem cells to the development of castration resistance of prostate cancer. Mol Cancer 13, 55, https://doi.org/10.1186/1476-4598-13-55 (2014).

  8. 8.

    Habib, K., Kumar, S., Manikar, N., Zutshi, S. & Fatma, T. Biochemical effect of carbaryl on oxidative stress, antioxidant enzymes and osmolytes of cyanobacterium Calothrix brevissima. Bull Environ Contam Toxicol 87, 615–620, https://doi.org/10.1007/s00128-011-0410-0 (2011).

  9. 9.

    Gangavarapu, K. J. et al. Aldehyde dehydrogenase and ATP binding cassette transporter G2 (ABCG2) functional assays isolate different populations of prostate stem cells where ABCG2 function selects for cells with increased stem cell activity. Stem Cell Res Ther 4, 132, https://doi.org/10.1186/scrt343 (2013).

  10. 10.

    Leao, R. et al. Cancer Stem Cells in Prostate Cancer: Implications for Targeted Therapy. Urol Int 99, 125–136, https://doi.org/10.1159/000455160 (2017).

  11. 11.

    Petkova, N. et al. Surface CD24 distinguishes between low differentiated and transit-amplifying cells in the basal layer of human prostate. Prostate 73, 1576–1590, https://doi.org/10.1002/pros.22708 (2013).

  12. 12.

    Hurt, E. M., Kawasaki, B. T., Klarmann, G. J., Thomas, S. B. & Farrar, W. L. CD44+ CD24(−) prostate cells are early cancer progenitor/stem cells that provide a model for patients with poor prognosis. Br J Cancer 98, 756–765, https://doi.org/10.1038/sj.bjc.6604242 (2008).

  13. 13.

    Salvatori, L. et al. Cell-to-cell signaling influences the fate of prostate cancer stem cells and their potential to generate more aggressive tumors. PLoS One 7, e31467, https://doi.org/10.1371/journal.pone.0031467 PONE-D-11-10345 (2012).

  14. 14.

    Menchon, C., Edel, M. J. & Izpisua Belmonte, J. C. The cell cycle inhibitor p27Kip(1) controls self-renewal and pluripotency of human embryonic stem cells by regulating the cell cycle, Brachyury and Twist. Cell Cycle 10, 1435–1447, https://doi.org/10.4161/cc.10.9.15421 (2011).

  15. 15.

    Polyak, K. et al. Cloning of p27Kip1, a cyclin-dependent kinase inhibitor and a potential mediator of extracellular antimitogenic signals. Cell 78, 59–66, doi:0092-8674(94)90572-X (1994).

  16. 16.

    Toyoshima, H. & Hunter, T. p27, a novel inhibitor of G1 cyclin-Cdk protein kinase activity, is related to p21. Cell 78, 67–74, doi:0092-8674(94)90573-8 (1994).

  17. 17.

    Yang, G. et al. Elevated Skp2 protein expression in human prostate cancer: association with loss of the cyclin-dependent kinase inhibitor p27 and PTEN and with reduced recurrence-free survival. Clin Cancer Res 8, 3419–3426 (2002).

  18. 18.

    Osoegawa, A. et al. Regulation of p27 by S-phase kinase-associated protein 2 is associated with aggressiveness in non-small-cell lung cancer. J Clin Oncol 22, 4165–4173, https://doi.org/10.1200/JCO.2004.01.035 (2004).

  19. 19.

    Chen, L. & Tweddle, D. A. p53, SKP2, and DKK3 as MYCN Target Genes and Their Potential Therapeutic Significance. Front Oncol 2, 173, https://doi.org/10.3389/fonc.2012.00173 (2012).

  20. 20.

    Bochis, O. V., Fetica, B., Vlad, C., Achimas-Cadariu, P. & Irimie, A. The Importance of Ubiquitin E3 Ligases, SCF and APC/C, in Human Cancers. Clujul Med 88, 9–14 (2015).

  21. 21.

    Pernicova, Z. et al. Androgen depletion induces senescence in prostate cancer cells through down-regulation of Skp2. Neoplasia 13, 526–536 (2011).

  22. 22.

    van Duijn, P. W. & Trapman, J. PI3K/Akt signaling regulates p27(kip1) expression via Skp2 in PC3 and DU145 prostate cancer cells, but is not a major factor in p27(kip1) regulation in LNCaP and PC346 cells. Prostate 66, 749–760, https://doi.org/10.1002/pros.20398 (2006).

  23. 23.

    Shim, E. H. et al. Expression of the F-box protein SKP2 induces hyperplasia, dysplasia, and low-grade carcinoma in the mouse prostate. Cancer Res 63, 1583–1588 (2003).

  24. 24.

    Lin, H. K. et al. Skp2 targeting suppresses tumorigenesis by Arf-p53-independent cellular senescence. Nature 464, 374–379, https://doi.org/10.1038/nature08815 (2010).

  25. 25.

    Remšík, J. et al. Trop-2 plasticity is controlled by epithelial-to-mesenchymal transition. Carcinogenesis 39, 1411–1418, https://doi.org/10.1093/carcin/bgy095 (2018).

  26. 26.

    Liao, C. P. et al. Mouse prostate cancer cell lines established from primary and postcastration recurrent tumors. Horm Cancer 1, 44–54, https://doi.org/10.1007/s12672-009-0005-y (2010).

  27. 27.

    O’Neill, A. J. et al. Characterisation and manipulation of docetaxel resistant prostate cancer cell lines. Mol Cancer 10, 126, https://doi.org/10.1186/1476-4598-10-126 (2011).

  28. 28.

    Slabakova, E. et al. Opposite regulation of MDM2 and MDMX expression in acquisition of mesenchymal phenotype in benign and cancer cells. Oncotarget 6, 36156–36171, https://doi.org/10.18632/oncotarget.5392 (2015).

  29. 29.

    Tellmann, G. The E-Method: a highly accurate technique for gene-expression analysis. Nature Methods, 1–2, https://doi.org/10.1038/nmeth894 (2006).

  30. 30.

    Mosmann, T. Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays. J Immunol Methods 65, 55–63, doi:0022-1759(83)90303-4 (1983).

  31. 31.

    Remsik, J. et al. Plasticity and intratumoural heterogeneity of cell surface antigen expression in breast cancer. Br. J. Cancer 118, 813–819, https://doi.org/10.1038/bjc.2017.497 (2018).

  32. 32.

    Vargova, J. et al. Hypericin affects cancer side populations via competitive inhibition of BCRP. Biomed Pharmacother 99, 511–522, https://doi.org/10.1016/j.biopha.2018.01.074 (2018).

  33. 33.

    Bray, M. A. et al. Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes. Nat Protoc 11, 1757–1774, https://doi.org/10.1038/nprot.2016.105 (2016).

  34. 34.

    Carpenter, A. et al. CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biology 7, R100 (2006).

  35. 35.

    Brunger, A. T. Crystallography & NMR system: A new software suite for macromolecular structure determination. Acta Crystallogr. D 54, 905–921 (1998).

  36. 36.

    Taylor, B. S. et al. Integrative genomic profiling of human prostate cancer. Cancer Cell 18, 11–22, https://doi.org/10.1016/j.ccr.2010.05.026 S1535–6108(10)00238-2 (2010).

  37. 37.

    Remšík J. et al. Trop-2 plasticity is controlled by epithelial-to-mesenchymal transition. Manuscript submitted for publication (2018).

  38. 38.

    Yang, Q. et al. Acquisition of epithelial-mesenchymal transition is associated with Skp2 expression in paclitaxel-resistant breast cancer cells. Br J Cancer 110, 1958–1967, https://doi.org/10.1038/bjc.2014.136 (2014).

  39. 39.

    Qu, X. et al. A signal transduction pathway from TGF-beta1 to SKP2 via Akt1 and c-Myc and its correlation with progression in human melanoma. J Invest Dermatol 134, 159–167, https://doi.org/10.1038/jid.2013.281 S0022–202X(15)36471-X (2014).

  40. 40.

    Yan, W., Chen, Y., Yao, Y., Zhang, H. & Wang, T. Increased invasion and tumorigenicity capacity of CD44+/CD24 breast cancer MCF7 cells in vitro and in nude mice. Cancer Cell Int 13, 62, https://doi.org/10.1186/1475-2867-13-62 (2013).

  41. 41.

    Li, W. et al. Unraveling the roles of CD44/CD24 and ALDH1 as cancer stem cell markers in tumorigenesis and metastasis. Sci Rep 7, 13856, https://doi.org/10.1038/s41598-017-14364-2 (2017).

  42. 42.

    Meng, E. et al. CD44+/CD24 ovarian cancer cells demonstrate cancer stem cell properties and correlate to survival. Clin Exp Metastasis 29, 939–948, https://doi.org/10.1007/s10585-012-9482-4 (2012).

  43. 43.

    Ghuwalewala, S. et al. CD44(high)CD24(low) molecular signature determines the Cancer Stem Cell and EMT phenotype in Oral Squamous Cell Carcinoma. Stem Cell Res 16, 405–417, https://doi.org/10.1016/j.scr.2016.02.028 S1873–5061(16)00070-2 (2016).

  44. 44.

    Klarmann, G. J. et al. Invasive prostate cancer cells are tumor initiating cells that have a stem cell-like genomic signature. Clin Exp Metastasis 26, 433–446, https://doi.org/10.1007/s10585-009-9242-2 (2009).

  45. 45.

    Cremers, N. et al. CD24 Is Not Required for Tumor Initiation and Growth in Murine Breast and Prostate Cancer Models. PLoS One 11, e0151468, https://doi.org/10.1371/journal.pone.0151468 PONE-D-15-18809 (2016).

  46. 46.

    Lu, W. et al. SKP2 inactivation suppresses prostate tumorigenesis by mediating JARID1B ubiquitination. Oncotarget 6, 771–788, https://doi.org/10.18632/oncotarget.2718 (2015).

  47. 47.

    Zhao, H. et al. Skp2 deletion unmasks a p27 safeguard that blocks tumorigenesis in the absence of pRb and p53 tumor suppressors. Cancer Cell 24, 645–659, https://doi.org/10.1016/j.ccr.2013.09.021 S1535–6108(13)00428-5 (2013).

  48. 48.

    Puhr, M. et al. PIAS1 is a crucial factor for prostate cancer cell survival and a valid target in docetaxel resistant cells. Oncotarget 5, 12043–12056 (2014).

  49. 49.

    Mulholland, D. J. et al. Pten Loss and RAS/MAPK Activation Cooperate to Promote EMT and Metastasis Initiated from Prostate Cancer Stem/Progenitor Cells. Cancer Res. 72, 1878–1889, https://doi.org/10.1158/0008-5472.can-11-3132 (2012).

Download references


This work was supported by grants GA CR P301/12/P407, IGA MZD NT13573-4/2012, and AZV ČR 15-28628A & 15-33999A, DRO (FNOl, 00098892), and supported by project no. LQ1605 and LO1304 from the National Program of Sustainability II&I (MEYS CR) and by European Union project ICRC-ERA-HumanBridge (No. 316345) and HistoPARK (CZ.1.07/2.3.00/20.0185) from the European Regional Development Fund. The authors would like to thank Iva Lišková, Kateřina Svobodová, and Martina Urbánková for superb technical assistance, Pavla Řezníčková and Dr. Nina Charvátová for maintenance of the animal facility, Prof. Vítězslav Bryja for providing the pIRESpuro2 plasmid, Dr. Pradip Roy Burman for providing cE2 and E2 cells, Prof. William G. Watson for providing PC-3AC, PC-3DR8, and PC-3DR12 cells, and Prof. Radek Vrtěl for cell line authentication.

Author information

Author notes

    • Ján Remšík

    Present address: Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, 10065, USA


  1. Department of Cytokinetics, Institute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic

    • Šárka Šimečková
    • , Zuzana Kahounová
    • , Radek Fedr
    • , Ján Remšík
    • , Eva Slabáková
    • , Tereza Suchánková
    •  & Karel Souček
  2. Center of Biomolecular and Cellular Engineering, International Clinical Research Center, St. Anne´s University Hospital Brno, Brno, Czech Republic

    • Šárka Šimečková
    • , Zuzana Kahounová
    • , Radek Fedr
    • , Ján Remšík
    • , Petr Beneš
    •  & Karel Souček
  3. Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic

    • Šárka Šimečková
    • , Ján Remšík
    •  & Petr Beneš
  4. Department of Chemistry and Toxicology, Veterinary Research Institute, Brno, Czech Republic

    • Jiřina Procházková
  5. Department of Clinical and Molecular Pathology, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic

    • Jan Bouchal
    •  & Gvantsa Kharaishvili
  6. Department of Urology, University Hospital, Olomouc, Czech Republic

    • Milan Král


  1. Search for Šárka Šimečková in:

  2. Search for Zuzana Kahounová in:

  3. Search for Radek Fedr in:

  4. Search for Ján Remšík in:

  5. Search for Eva Slabáková in:

  6. Search for Tereza Suchánková in:

  7. Search for Jiřina Procházková in:

  8. Search for Jan Bouchal in:

  9. Search for Gvantsa Kharaishvili in:

  10. Search for Milan Král in:

  11. Search for Petr Beneš in:

  12. Search for Karel Souček in:


Conception and design: K. Souček, Š. Šimečková, Z. Kahounová, E. Slabáková, J. Procházková. Cell lines experiments: Š. Šimečková, R. Fedr, T. Suchánková, P. Beneš. In vivo experiments: J. Remšík, Š. Šimečková. Analysis and evaluation of immunohistochemical samples: J. Bouchal, G. Kharaishvili, M. Král. Writing, review, and/or revision of the manuscript: Š. Šimečková, J. Bouchal, K. Souček. Study supervision: K. Souček.

Competing Interests

The authors declare no competing interests.

Corresponding author

Correspondence to Karel Souček.

Supplementary information

About this article

Publication history







By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.