The HDL receptor SR-BI is associated with human prostate cancer progression and plays a possible role in establishing androgen independence
- David Schörghofer†1,
- Katharina Kinslechner†1,
- Andrea Preitschopf1,
- Birgit Schütz1,
- Clemens Röhrl2,
- Markus Hengstschläger1,
- Herbert Stangl2 and
- Mario Mikula1Email author
© Schörghofer et al. 2015
Received: 11 May 2015
Accepted: 31 July 2015
Published: 7 August 2015
Human prostate cancer represents one of the most frequently diagnosed cancers in men worldwide. Currently, diagnostic methods are insufficient to identify patients at risk for aggressive prostate cancer, which is essential for early treatment. Recent data indicate that elevated cholesterol levels in the plasma are a prerequisite for the progression of prostate cancer. Here, we analyzed clinical prostate cancer samples for the expression of receptors involved in cellular cholesterol uptake.
We screened mRNA microarray files of prostate cancer samples for alterations in the expression levels of cholesterol transporters. Furthermore, we performed immunohistochemistry analysis on human primary prostate cancer tissue sections derived from patients to investigate the correlation of SR-BI with clinicopathological parameters and the mTOR target pS6.
In contrast to LDLR, we identified SR-BI mRNA and protein expression to be induced in high Gleason grade primary prostate cancers. Histologic analysis of prostate biopsies revealed that 53.6 % of all cancer samples and none of the non-cancer samples showed high SR-BI staining intensity. The disease-free survival time was reduced (P = 0.02) in patients expressing high intra-tumor levels of SR-BI. SR-BI mRNA correlated with HSD17B1 and HSD3B1 and SR-BI protein staining showed correlation with active ribosomal protein S6 (RS = 0.828, P < 0.00001).
We identified SR-BI to indicate human prostate cancer formation, suggesting that increased levels of SR-BI may be involved in the generation of a castration-resistant phenotype.
KeywordsSCARB1 LDLR Cholesterol mTOR Androgen synthesis
Prostate cancer is one of the most common solid organ tumors in males. It is a slow growing type of tumor, but can potentially give rise to aggressive and metastasizing forms of cancer . The risk for prostate cancer increases with consumption of a high fat, high cholesterol diet or the presence of hypercholesterolemia [2–4]. Very recently, it was shown that the accumulation of esterified cholesterol underlies the aggressiveness of human prostate cancer . Cellular cholesterol is either synthesized by the cells themselves, or exogenous cholesterol is taken up and utilized by the cancer cells. Cholesterol uptake is mainly mediated by the high density lipoprotein receptor SR-BI and the low density lipoprotein receptor LDLR [6–9]. In normal tissue, SR-BI is expressed in the liver and in steroidogenic tissues, where cholesterol uptake is necessary for steroid hormone synthesis [10–13]. Notably, patients suffering from mutations in cla-1, the human homolog to SR-BI, display impaired steroid hormone synthesis . There is evidence that SR-BI plays a role in prostate cancer development, specific antigen secretion and the viability of prostate cancer cells because it was shown that SR-BI-specific knockdown in LNCaP and C4-2 prostate carcinoma cells reduced PSA secretion and the viability of prostate cancer cell lines . Therefore, this study aimed to evaluate the expression of receptors involved in cellular cholesterol uptake in clinical prostate cancer samples.
Material and methods
For Gleason score analysis, the GSE2109 and GSE3933 datasets from the International Genomics Consortium Expression Project for Oncology were used . The sample sizes were as follows: GSE2109, n = 56 (Gleason score ≤ 6 n = 20, Gleason score ≥ 7 n = 36), GSE3933, n = 58 for SR-BI (Gleason score ≤ 6 n = 24, Gleason score ≥ 7 n = 34) and n = 60 for LDLR (Gleason score ≤ 6 n = 24, Gleason score ≥ 7 n = 36). For metastasis analysis, the GSE35988, GSE3933 and GSE6919 datasets were used [16–19]. The sample sizes were as follows: GSE35988, n = 94 (primary site n = 59, metastasis n = 35), GSE3933, n = 68 for SR-BI (primary site n = 59, metastasis n = 9) and n = 68 for LDLR (primary site n = 61, metastasis n = 7) and GSE6919, n = 88 (primary site n = 64, metastasis n = 24). For Kaplan-Meier analysis, the GSE40272 dataset was used (sample size: n = 85) .
Patient cohort and pathology
With institutional review board approval from the Medical University of Vienna (EK Nr: 1734/2014), tissue microarrays were obtained from US Biomax (Rockville, MD). All samples were formalin-fixed less than 10 min after surgery, paraffin embedded and assembled as cores with a diameter of 1.5 mm. Tissue sections were quality controlled and contained normal prostate tissue and prostate cancer tissue, representing different stages of disease progression. Each individual core was assigned to independent Gleason scoring and was reviewed by two board-certified pathologists.
Prostate cancer tissue sections containing paraffin-embedded samples were melted for 20 min at 60 °C and rehydrated by subsequent incubation in Xylol, Isopropanol, 96 % Ethanol, 70 % Ethanol and 50 % Ethanol. Then, tissue sections were washed and heated to 120 °C in a pH 6.0 buffer or a pH 9.0 buffer (Dako, Glostrup, Denmark), depending on the antibody. After cooling to room temperature, samples were incubated with 1 % H2O2 (Sigma, St. Louis, MO) for 10 min. Afterwards, samples were permeabilized with 0.1 % Triton X-100 (Sigma) for 5 min. Then, sections were blocked with 2.5 % horse sera (Vector Laboratories, Burlingame, CA) for at least 20 min at room temperature. Subsequently, sections were incubated overnight at 4 °C with the primary antibodies directed against SR-BI (BD Transduction Laboratories™, Franklin Lakes, NJ), LDLR (Santa Cruz Biotechnology, Santa Cruz, CA) and pS6 (Cell Signaling Technology, Beverly, MA), diluted 1:200. For negative control staining, sections were incubated with matched isotope control antibodies instead of primary antibodies. Next, slides were washed and the corresponding secondary, biotinylated antibodies (Vector Laboratories) were added for 45 min at room temperature. After a washing step, sections were incubated for 30 min with Streptavidin-HRP (Leica, Wetzlar, Germany). For detection, tissue sections were incubated with AEC+ High Sensitivity Substrate Chromogen (Dako). Counterstaining with hematoxylin solution was performed according to Mayer (Carl Roth, Karlsruhe, Germany); tissue sections were mounted with Aquatex® (Merck Millipore, Billerica, MA).
Evaluation of immunohistochemical staining
Evaluation of tissue sections was performed by two independent researchers who were blinded to the patients’ details. Immunostaining of the anti-SR-BI antibody was scored on at least duplicate tissues using the following arbitrary scale: no staining (0), low staining (1), medium staining (2) and high staining (3).
Dot plots were generated with SPSS v21. The arithmetic mean of all samples is indicated by a line. Two-tailed P-values were calculated with unpaired (independent) t-tests in SPSS. P-values ≤ 0.05 were considered to be statistically significant. The significance of the difference between the variances of two samples was determined with Levene’s test. If the resulting P-value of Levene’s test was > 0.05, we assumed equal variances and adopted the output of the equal variance t-test as the P-value; if the resulting P-value of Levene’s test was ≤ 0.05, we assumed unequal variances and adopted the output of the unequal variance t-test as the P-value.
Scatter plots were generated with SPSS v21. Pearson correlation analysis was performed to calculate the P-values of the graphs.
For analysis of immunohistological staining results, the internet tool VassarStats (http://vassarstats.net/index.html) was used. Risk ratios were calculated using 2 × 2 contingency tables and the chi-square test was applied to determine the association of clinicopathological parameters with SR-BI expression.
Kaplan-Meier analysis and the log-rank test were performed using SPSS 21 to test the association of SR-BI and LDLR with disease-free survival time. A total of 85 samples were available for evaluation. For the analysis, samples were segregated into groups with SR-BI or LDLR levels above (42 samples) and below or equal (43 samples) to the median value.
Evaluation of SR-BI and LDLR expression as markers for prostate cancer progression
The most important parameter used to decide upon patient survival is the occurrence of metastasis. Therefore, we next determined the expression of SR-BI and LDLR in clinical prostate samples derived either from non-metastatic or metastatic prostate cancer. For this analysis, we investigated the dataset GSE35988, which contains benign and localized prostate cancer from radical prostatectomy as well as metastatic, castration-resistant prostate cancer obtained from rapid autopsy . Furthermore, we included the datasets GSE6919 and GSE3933, which contain samples from the primary tumor site as well as metastasized prostate cancer samples from the liver, lung, kidney, adrenal gland or lymph nodes [16, 18, 19]. We identified an increased expression of SR-BI in metastatic prostate samples compared to non-metastatic prostate samples in GSE35988, GSE3933 and GSE6919 (P < 0.001, P = 0.009 and P = 0.017, respectively) (Fig. 1e, g, i,). Contrary to SR-BI, LDLR expression was not increased in metastatic prostate samples compared to non-metastatic prostate samples in GSE35988, GSE3933 and GSE6919 (P = 0.341, P = 0.139 and P = 0.856, respectively) (Fig. 1f, h, j).
Association of clinicopathological parameters with SR-BI expression
Frequencies of clinicopathological characteristics
Evaluation of the prognostic significance of SR-BI staining intensity
95 % Confidence interval
Cancer vs. non-cancer
GS ≥ 7 vs. GS ≤ 6
pT3/pT4 vs. pT2
Met. pos. vs. met. neg.
To assess whether SR-BI and LDLR had any influence on the clinical outcome of patients, we chose to evaluate the disease-free survival time in relation to SR-BI and LDLR expression. Therefore, we performed Kaplan-Meier analyses of the dataset GSE40272, which contained mRNA expression data on prostate tissue samples from men who underwent radical prostatectomy . The disease-free survival time was defined as the time between surgery and the recurrence of disease (serum PSA > 0.1 ng/ml on two consecutive measurements after surgery). We identified samples with low SR-BI expression to have a significantly better survival outcome compared to samples with high SR-BI expression (p = 0.02, Fig. 3h). By contrast, there was no significant difference in disease-free survival time between samples with low LDLR expression and samples with high LDLR expression (Fig. 3g).
Correlation of SR-BI with androgen-synthesizing enzymes and the mTOR pathway
Mechanistic studies have shown that mTOR signaling can mediate androgen independence . Therefore, we further assessed the association of SR-BI expression with serine phosphorylation of ribosomal protein S6 at position 240 and 244. A total of 22 biopsy cores were subjected to immunohistochemical staining for pS6, and adjacent sections from the same patients were simultaneously subjected to SR-BI staining. Representative histologic staining for high grade and low grade prostate carcinoma samples is shown in Fig. 4 (i–l). After the pS6 and SR-BI staining, the samples were analyzed for their staining intensity. Representative cores for different staining intensities of pS6 and their respective scores are shown in Additional file 1: Figure S1 (A–D). Spearman correlation analysis revealed a significant positive correlation of SR-BI and pS6 (R = 0.828, p < 0.001).
Prostate cancer is the most commonly diagnosed malignancy in men and it has the potential to progress to a metastatic and highly aggressive form of cancer, which is still difficult to cure. Therefore, it is of profound importance to identify markers that allow the prediction of prostate cancer progression to its aggressive metastatic form. Recent studies suggest that cholesterol plays a major role in prostate cancer [15, 22–24]. In human cells, cholesterol uptake is mainly based on two pathways: receptor-mediated endocytosis by the LDL receptor and selective lipid uptake by SR-BI [6–8]. Here, we show an association of prostate cancer malignancy with the expression of the HDL receptor SR-BI. Our analysis of 306 clinical prostate samples for mRNA and 106 prostate tissue biopsy cores for protein expression identified significantly higher SR-BI expression in high Gleason grade versus low Gleason grade prostate cancer samples. Furthermore, our analysis of gene expression profiles identified significantly higher SR-BI mRNA expression in metastatic compared to non-metastatic prostate cancer. Strikingly, we further discovered an association of SR-BI expression with disease-free survival time in a cohort of 85 clinical prostate samples. Previous studies already suggested a connection of SR-BI expression with prostate cancer: the knockdown of SR-BI has been shown to reduce PSA levels and the viability of prostate cancer cells in vitro . Moreover, SR-BI was found to be significantly up-regulated with progression to lethal castration-resistant prostate cancer (CRPC) in an LNCaP xenograft mouse model , while androgen-tolerant LNCaP cells in vitro did not show SR-BI up-regulation . SR-BI has further been linked to nasopharyngeal cancer , colorectal cancer , ovarian cancer  and most notably breast cancer [29, 30], a tumor strongly dependent on the synthesis of sexual hormones. Furthermore, it was demonstrated that mutations of SR-BI affected the proliferation and apoptosis of the breast cancer cell line MCF-7 . Knockdown of SR-BI was shown to inhibit proliferation and migration in breast cancer, and SR-BI knockdown also caused a decrease of tumor growth in MDA-MB231 and MCF-7 breast cancer cells in vivo when injected into nude mice .
The mTOR pathway plays a key role in the regulation of cellular growth and metabolism [31, 32]. Together with raptor and LST8, mTOR forms a complex called mTORC1 (mTOR complex 1), which acts by activating the ribosomal protein S6 through the protein kinase S6K1 [31, 32]. It is further known that mTORC1 influences cholesterol synthesis and uptake via the SREBP pathway [33–35]. Recently, it was shown that the inhibition of mTOR via rapamycin down-regulates SR-BI expression in human umbilical vein endothelial cells, indicating a direct connection between mTOR activation and SR-BI expression . Further, it is known that mTOR plays a crucial role in the progression of prostate cancer to CRPC by influencing the androgen signaling pathway [37, 38]. According to our results, pS6 expression significantly correlates with SR-BI expression, which suggests the regulation of SR-BI by mTORC1 in prostate cancer.
To our knowledge, SR-BI has not been thoroughly studied in clinical samples of prostate cancer, and our findings on the mRNA and protein expression of SR-BI can contribute substantially to our understanding of prostate cancer progression. This study demonstrates the high expression of SR-BI in de-differentiated and metastasized prostate cancer, which almost always acquires resistance to androgen depletion. Therefore, we suggest that increased levels of SR-BI are involved in the transport of cholesterol into the tumor cell. This uptake of cholesterol could be exploited by the cancer cell to up-regulate its androgen synthesis. We observed the up-regulation of 3β- and 17β-hydroxysteroid dehydrogenases, which may play an important yet unclear role in intra-tumoral androgen synthesis [39, 40]. This process may contribute to the generation of castration-resistant prostate cancer. Therefore, pharmacologic inhibition of the HDL receptor might represent a way to inhibit prostate cancer progression. We suggest that SR-BI may be a valuable target for prostate cancer therapy; therefore, we strongly recommend that further studies investigate the role of SR-BI during prostate cancer progression.
Here we have shown that the HDL receptor SR-BI can be induced during the course of prostate cancer formation and progression. Intra-tumor expression was associated with an increase in Gleason scoring and also metastatic prostate tissue showed SR-BI up-regulation compared to primary tumor tissue. Importantly, we identified positive correlation of SR-BI expression with expression of androgen synthesizing enzymes and mTOR activation.
The authors are thankful for the excellent technical assistance of Jelena Brankovic.
This manuscript was edited for English language by American Journal Experts (AJE).
This work was supported by the Austrian Science Fund, FWF, grant number P25336-B13 (to Mario Mikula) and P25763-B13 (to Clemens Röhrl).
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