The regulation of hydroxysteroid 17β-dehydrogenase type 1 and 2 gene expression in breast cancer cell lines by estradiol, dihydrotestosterone, microRNAs, and genes related to breast cancer
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Erik Hilborn1, Olle Stål1, Andrey Alexeyenko2,3 and Agneta Jansson1
1Department of Clinical and Experimental Medicine and Department of Oncology, Faculty of Health Sciences, Linköping University, Linköping, Sweden
2Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden
3National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Solna, Sweden
Erik Hilborn, email: firstname.lastname@example.org
Keywords: breast cancer, HSD17B1, HSD17B2, miRNA
Received: September 23, 2016 Accepted: June 01, 2017 Published: July 10, 2017
Aim: To investigate the influence of estrogen, androgen, microRNAs, and genes implicated in breast cancer on the expression of HSD17B1 and HSD17B2.
Materials: Breast cancer cell lines ZR-75-1, MCF7, T47D, SK-BR-3, and the immortalized epithelial cell line MCF10A were used. Cells were treated either with estradiol or dihydrotestosterone for 6, 24, 48 hours, or 7 days or treated with miRNAs or siRNAs predicted to influence HSD17B expression.
Results and discussion: Estradiol treatment decreased HSD17B1 expression and had a time-dependent effect on HSD17B2 expression. This effect was lost in estrogen receptor-α down-regulated or negative cell lines. Dihydrotestosterone treatment increased HSD17B2 expression, with limited effect on HSD17B1 expression. No effect was seen in cells without AR or in combination with the AR inhibitor hydroxyflutamide. The miRNA-17 up-regulated HSD17B1, while miRNA-210 and miRNA-7-5p had up- and down-regulatory effect and miRNA-1304-3p reduced HSD17B1 expression. The miRNA-204-5p, 498, 205-3p and 579-3p reduced HSD17B2 expression. Downregulation of CX3CL1, EPHB6, and TP63 increased HSD17B1 and HSD17B2 expression, while GREB1 downregulation suppressed HSD17B1 and promoted HSD17B2 expression.
Conclusion: We show that HSD17B1 and HSD17B2 are controlled by estradiol, dihydrotestosterone, and miRNAs, as well as modulated by several breast cancer-related genes, which could have future clinical applications.
Breast cancer is the malignant growth of cells in the breast tissue, and 10% of women will be diagnosed with breast cancer. Estrogen and androgen signaling are involved in regulating tumor growth and progression. Seventy to 80% of all breast cancers express the estrogen receptor (ER)α [1, 2] and 60-80% express the androgen receptor (AR) [3, 4]. Estrogen signaling by ERα results in cell proliferation and survival . Androgens signaling through AR is primarily antiproliferative in ERα-positive tissues and AR is associated with improved outcome in ERα-positive breast cancer [6-10]. In postmenopausal women, the primary source of estrogen in the breast tissue is the product of local conversion mediated by aromatase, steroid sulfatase (STS) and hydroxysteroid 17β-dehydrogenase (HSD17B) 1 and 2 [11-17].
The primary role of HSD17B1 is to mediate the reduction of estrone to estradiol, dehydroepiandrosterone (DHEA) to androstenediol, and dihydrotestosterone into 3β-diol and 3α-diol [18, 19]. HSD17B2 catalyzes the oxidation of estradiol to estrone, testosterone to androstenedione and androstenediol to DHEA . HSD17B1 is associated with adverse outcome [21-24], while HSD17B2 has been proposed to protect the tissue from steroid overexposure and is associated with improved outcome [14, 21]. Not much is known about the control of the expression of HSD17B1 and HSD17B2 in breast cancer, apart from that they are correlated with ERα expression [19, 22, 24], and that dihydrotestosterone can induce HSD17B2 expression in an AR-dependent manner in the breast cancer cell line T-47D .
MicroRNAs (miR)s are ~21 nucleotides short inhibitory RNAs, involved in almost every part of carcinogenesis. MiRs have been estimated to regulate the expression of as many as 30% of all genes . HSD17B1 has been shown to be under the regulation of miR-210 and 518c in placental cells . To date, no study has been published examining the role of miRNAs regarding HSD17B1 and HSD17B2 in breast cancer.
We aimed to investigate if estrogen and androgen-mediated signaling can influence the expression of HSD17B1 and HSD17B2 in breast cancer cell lines. Furthermore, we aimed to identify microRNAs responsible for the regulation of HSD17B1 and HSD17B2 and to identify genes which control the expression of HSD17B1 and HSD17B2 in breast cancer cell lines.
Estradiol signaling controls HSD17B1 and HSD17B2 mRNA expression
ZR-75-1, MCF7, and T-47D were treated with 5nM and 10nM estradiol for 6 hours, 24 hours or 48 hours. Since the effect of 5nM was similar to 10nM (data not shown), 5nM was used when cells were treated for 7 days. The expression of HSD17B1 and HSD17B2 was compared with ethanol-treated cells for the corresponding time point. At 6 hours, there was no significant change regarding HSD17B1 or HSD17B2 expression (data not shown). Following treatment with 5nM estradiol, the expression of HSD17B1 in ZR-75-1 cells decreased to 75% at 24 hours, 58% at 48 hours and 38% at 7 days. In MCF7 cells there was a decrease to 47% at 24 hours, and a decrease to 39% at 48 hours and 7 days. In T-47D there was a decrease to 68% at 24 hours, 64% at 48 hours and 22% at 7 days, Figure 1A. The expression of HSD17B2 was also influenced by estradiol treatment; in ZR-75-1 there was a reduction to 33% at 24 hours and 25% at 48 hours. There was no effect after 7 days. In MCF7 there was no change at 24 hours or 48 hours, but an increase to 520% at 7 days. In T-47D there was a reduction to 30% at 24 hours, 34% at 48 hours and 45% at 7 days, Figure 1B. In summary, estradiol stimulation appears to mediate a reduction of HSD17B1 expression in all cell lines. Further, estradiol stimulation appears to reduce HSD17B2 expression in ZR-75-1 and T-47D at 24h and 48 hours, while at 7 days in MCF-7 expression is greatly increased, and in ZR-75-1 the HSD17B2 expression reverts to baseline.
Figure 1: Relative HSD17B1 (A) and HSD17B2 (B) expression following estradiol treatment in ZR-75-1 (white), MCF7 (gray) and T-47D (black), for 24h n=3, 48h n=6, and 7 days n=5. All effects on the relative HSD17B1 and HSD17B2 expression are compared to ethanol-treated controls from the same time point and cell line as the treated sample. Error bars represent standard derivation.
With the purpose of determining if the estradiol signaling was ERα-dependent, ERα was transiently downregulated. ERα mRNA levels remained suppressed at 7 days, Supplementary Figure 1. At 48 hours, there was no ERα protein expression in either cell line, Supplementary Figure 2. At 48 hours, neither HSD17B1 nor HSD17B2 was significantly altered by estradiol treatment, Figure 2. At 7 days, there was a significant reduction of HSD17B1 in T-47D, Figure 2A, and there was an increase of HSD17B2 in MCF7, Figure 2B. Using the ERα-negative cell-line SK-BR-3 treated for 48 hours or 7 days with estradiol, we show no effect of estradiol on HSD17B1 or HSD17B2 expression, Figure 2C and 2D.
Figure 2: Relative HSD17B1 (A, C) and HSD17B2 (B, D) expression. (A, B) denotes the effects of estradiol treatment compared to ethanol treated control in ERα downregulated ZR-75-1 (white), MCF7 (gray), and T-47D (black), n=3 at 48 hours and 7 days, n=3. (C, D) denotes the effect of estradiol in SK-BR-3 (horizontal stripes), n=3. All effects on the relative HSD17B1 and HSD17B2 expression are compared to ethanol-treated controls from the same time point and cell line as the treated sample. Error bars represent standard derivation.
Dihydrotestosterone signaling alters HSD17B2 expression in ERα-positive breast cancer cells
ZR-75-1, MCF7, and T-47D were treated with 10nM dihydrotestosterone for 6 hours, 24 hours, 48 hours, or 7 days. Expression of HSD17B1 and HSD17B2 was compared with ethanol-treated controls at the corresponding time point. At 6 hours, there was no significant change in terms of HSD17B1 expression, but a trend towards an increase in HSD17B2 expression in all the cell lines (data not shown). In ZR-75-1 cells the expression of HSD17B1 was significantly decreased to 90% at 24 hours and 88% at 48 hours. In MCF7 cells there was a decrease to 88% at 24 hours. For T-47D cells there was a reduction to 78% at 48 hours and 53% at 7 days, Figure 3A. In ZR-75-1 the HSD17B2 expression was 133% at 24 hours, 145% at 48 hours and 166% at 7 days. For MCF7 cells, there was an increase to 374% at 48 hours and 300% at 7 days. In T-47D cells there was an increase to 595% at 48 hours and 655% at 7 days, Figure 3B. In summary, dihydrotestosterone had a minor effect on HSD17B1 in ZR-75-1, and MCF-7, with a more sizable reduction in T-47D. Further, dihydrotestosterone resulted in an increased HSD17B2 expression in all cell lines after 48 hours and 7 days.
Figure 3: Relative HSD17B1 (A) and HSD17B2 (B) expression following dihydrotestosterone treatment in ZR-75-1 (white), MCF7 (gray) and T-47D (black), for 24h n=3, 48h n=6, and 7 days n=5. All effects on the relative HSD17B1 and HSD17B2 expression are compared to ethanol-treated controls from the same time point and cell line as the treated sample. Error bars represent standard derivation.
There was no effect on the HSD17B1 expression following treatment using AR inhibitor hydroxyflutamide in combination with dihydrotestosterone compared to hydroxyflutamide treated control, Figure 4A. Regarding HSD17B2, in ZR-75-1 or MCF-7, there was no effect of dihydrotestosterone in combination with hydroxyflutamide compared to hydroxyflutamide treated control. In T-47D, there was an increase in HSD17B2 to 295% at 48 hours and a similar trend at 7 days, Figure 4B. In the AR-negative cell-line SK-BR-3 there was no effect of dihydrotestosterone on HSD17B1, Figure 4C. Regarding HSD17B2 there was an increase to 113% at 48 hours and 112% at 7 days, Figure 4D.
Figure 4: Relative HSD17B1 (A, C) and HSD17B2 (B, D) expression. (A, B) denotes the effects of dihydrotestosterone in hydroxyflutamide treated ZR-75-1 (white), MCF7 (gray), and T-47D (black), at 48 hours and 7 days, n=3. (C, D) denotes the effect of dihydrotestosterone in SK-BR-3 (horizontal stripes), n=3. All effects of dihydrotestosterone on the relative HSD17B1 and HSD17B2 expression are compared to ethanol-treated controls from the same time point and cell line as the treated sample. Error bars represent standard derivation.
MicroRNA control of HSD17B1 and HSD17B2
The miRNAs control of the expression of HSD17B1 or HSD17B2 in breast cancer cells was examined using 50 miRNAs selected as described in the methods section. These miRNAs were transiently transfected into ZR-75-1, MCF7, T-47D and MCF10A cells. Based on preliminary findings miR-7-5p, miR-17, miR-210, miR-518c, miR-1304-3p, miR-204-5p, miR-205-3p, miR-498 and miR-579-3p were selected for further study. All experiments were compared with a negative miRNA control. Treatment with miR-17 resulted in upregulation of HSD17B1 to 203%, 556% and 554% in ZR-75-1, MCF7 and T-47D cells respectively. Additionally, miR-210 resulted in 140%, 45% and 40% HSD17B1 expression in ZR-75-1, MCF7 and T-47D cells respectively, Figure 5A. Following miR-7-5p treatment, HSD17B1 expression was 135% and 77% in ZR-75-1 and MCF10A cells respectively, with no change in T-47D cells. Further, miR-1304-3p resulted in 85% and 66% HSD17B1 expression in ZR-75-1 and MCF10A cells respectively, Figure 5B. Treatment with miR-498 resulted in 53%, 30% and 30% HSD17B2 expression in ZR-75-1, T-47D and MCF10A cells respectively. In addition, miR-579-3p treated cells showed 36%, 69% and 9% HSD17B2 expression in ZR-75-1, T-47D and MCF10A cells respectively. Following miR-204-5p treatment, HSD17B2 expression was 62% and 18% in T-47D and MCF10A cells respectively. Moreover, miR-205-3p treatment resulted in 25% and 32% HSD17B2 expression in T-47D and MCF10A cells, Figure 5C. In summary, miR-17 resulted in up-regulation of HSD17B1, while miR-210 and miR-7-5p resulted in a mixed response and miR-1304-3p resulted in reduced HSD17B1 expression. MiR-204-5p, 498, 205-3p and 579-3p resulted in a reduction of HSD17B2, albeit to differing degrees.
Figure 5: Relative HSD17B1 (A, B) and HSD17B2 (C) following miRNA treatment for 48 hours. The effects of selected miRNA compared to scrambled miRNA control in the same cell line is shown in ZR-75-1 (white), MCF7 (gray), T-47D (black), and MCF10A (Checkered). n=3. Error bars represent standard derivation.
Genes that modulate the expression of HSD17B1 and HSD17B2
We transfected ZR-75-1, MCF7 and T-47D cells with two siRNAs targeting each of the 13 genes strongly correlated to HSD17B1 or HSD17B2 and predicted to be involved in breast cancer. Based on these findings (data not shown), Growth Regulation By Estrogen In Breast Cancer 1 (GREB1), Harvey Rat Sarcoma Viral Oncogene Homolog (HRAS), Protein kinase C Zeta (PRKCZ), Chemokine (C-X3-C Motif) Ligand 1 (CX3CL1), EPH Receptor B6 (EPHB6), Kallikrein-Related Peptidase 5 (KLK5), Tumor Protein P63 (TP63), and Tripartite Motif Containing 29 (TRIM29) were chosen for further study. All HSD17B1 and HSD17B2 expression were compared to cells treated with scrambled siRNA. In ZR-75-1 cells the HSD17B1 expression was increased to 168%, 180%, 166%, 122% and 160% when CX3CL1, EPHB6, KLK5, TP63, or TRIM29 were downregulated, respectively. No effect was seen in MCF7 (data not shown). In T-47D cells, HSD17B1 expression was decreased to 66% in GREB1 suppressed cells, while HSD17B1 expression was 121% and 143% following EPHB6, and KLK5 downregulation respectively. Additionally, there was a trend towards an increase in HSD17B1 following CX3CL1 downregulation in T-47D cells (p=0.052), Figure 6A. In ZR 75-1 cells HSD17B2 expression was increased to 292%, 216%, and 312% after GREB1, EPBH6, and TP63 downregulation respectively, meanwhile in HRAS downregulated ZR-75-1 cells the expression was reduced to 56%. In MCF7 cells there was no effect. In T-47D cells the HSD17B2 expression was 289%, 641%, 437%, 471% and 521% in GREB1, CX3CL1, EPBH6, TP63 and TRIM29 downregulation respectively, Figure 6B. In summary, GREB1 promotes HSD17B1 expression in T47D and suppresses HSD17B2 in ZR75-1 and T47D. Meanwhile, EPHB6 and KLK6 downregulate HSD17B1 in ZR75-1 and T47D, while EPHB6 and TP63 downregulates HSD17B2 in ZR75-1 and T47D.
Figure 6: Relative HSD17B1 (A) and HSD17B2 (B) expression following downregulation of GREB1, HRAS, PRKCZ, CX3CL1, EPHB6, KLK5, TP63 or TRIM29 in ZR-75-1 (white) and T-47D (black) compared to scrambled siRNA from the same cell line, n=3. Error bars represent standard derivation.
Here we demonstrate that estradiol alters the expression of HSD17B1 and HSD17B2, two of the enzymes responsible for mediating the activity of estradiol in breast cancer cell lines. ZR-75-1, MCF7, and T-47D cells are all ERα-positive and represent commonly used cell lines for studying ERα-positive breast cancer. Previously there have been studies where estradiol has been shown to mediate changes in HSD17B1 expression in lymphocytes , but to our knowledge, no such findings have been presented in breast cancer cell lines. In our experiments, the estradiol mediated downregulation of HSD17B1 was detectable after 24 hours and was further decreased after 48 hours and 7 days, suggesting an increasing effect based on prolonged exposure. In support of this, aromatase inhibitor treatment, which results in estradiol depletion, resulted in increased HSD17B1 expression . Taken together, estradiol mediates negative feedback control of HSD17B1 in ERα-positive breast cancer cell lines, which could be an important mechanism of how local estradiol concentrations are controlled. For HSD17B2 there was a reduction in response to estradiol at the earlier time points (24 and 48 hours) in both ZR-75-1 and T-47D. However, at 7 days, this reverted to baseline in ZR-75-1 cells but not in T-47D. This suggests that different cell-lines have differing control mechanisms. In MCF7 cells, the HSD17B2 expression which was unaltered at early time points increased fivefold compared with control after 7 days. Taken together, estradiol control of HSD17B2 may be time sensitive in cell lines. The increased HSD17B2 expression after 7 days may constitute a mechanism to reduce the estradiol effects after prolonged exposure. In ERα positive cells, ERα downregulation by siRNA prevents the effect of estradiol on HSD17B1 and HSD17B2 expression at 48 hours and to some degree at 7 days in ZR-75-1, MCF7 and T-47D cells. Further, in the ERα negative SK-BR-3 cells no effect of estradiol stimulation is detected on HSD17B1 or HSD17B2 expression. Based on these findings we propose that the HSD17B1 and HSD17B2 modulation mediated by estradiol is ERα-dependent. Previous studies showed a correlation between both HSD17B1 and HSD17B2 to ERα expression, which supports our findings [19, 22, 24]. Collectively, these findings indicate that ERα-dependent estradiol signaling in breast cancer cell lines results in a reduction in HSD17B1, with a possible time-dependent effect on HSD17B2.
We tested the effect of dihydrotestosterone on both HSD17B1 and HSD17B2 expression in the ERα- and AR-positive cell lines ZR-75-1, MCF7, and T-47D. Dihydrotestosterone resulted in a small but significant reduction of HSD17B1 expression in ZR-75-1 at 24 hours and 48 hours. The reduction in MCF7 was lost after 24 hours. In T47D there was a reduction at 48 hours and 7 days. Regarding HSD17B2 expression, the expression was markedly increased in all tested cell lines at 48 hours and 7 days. Our results suggest that dihydrotestosterone promotes a more normal-like phenotype of the tissue, reducing HSD17B1 and increasing HSD17B2 [30, 31]. Earlier studies conducted in our lab and others show that patients with low HSD17B1 to HSD17B2 ratio have a better prognosis than patients with a higher HSD17B1 to HSD17B2 ratio [21-23]. Furthermore, a low HSD17B1 to HSD17B2 ratio is a positive tamoxifen treatment predictive marker . Taken together, dihydrotestosterone promotes a phenotype more resembling healthy tissue, by increasing the HSD17B2 to HSD17B1 ratio, which would protect the tissue against the effects of estrogens and maintain the dihydrotestosterone concentration. Since we detected no change in HSD17B1 in the hydroxyflutamide treated cells, or in the AR-negative SK-BR-3, this effect seems AR-dependent. HSD17B2 expression changes were greatly reduced following hydroxyflutamide treatment, and no effect of dihydrotestosterone was observed in ZR-75-1 or MCF-7. The persistent effect of dihydrotestosterone on T-47D combined with the small but sizable increase in HSD17B2 expression in SK-BR-3, suggests that AR is not the only component in mediating dihydrotestosterone driven changes in HSD17B2. The presence of ERβ1 , which may be activated by 3α- and 3β-diol , may be an explanation for this, but further evaluation is needed.
We analyzed the efficiency of miRNA in modulating the mRNA expression of HSD17B1 and HSD17B2 based on previously literature and bioinformatics predictions. The primary work in the field of miRNA and HSD17B1 or HSD17B2 to date is a publication showing that miR-210 and miR-518c control the expression of HSD17B1 in placental tissue . We were unable to see any HSD17B1 modulating ability from miR-518c (data not shown). The role of miR-210 is oncogenic, being involved in hypoxia, metastasis, and proliferation . We show that miR-210 upregulated HSD17B1 in highly proliferative ZR-75-1 cells and downregulated HSD17B1 in more slowly proliferating MCF7 and T-47D cells. There are reported cases where miRNA can increase target expression . However, the effect seen could also be an indirect effect of miR-210 on genes which in turn control HSD17B1. The role of miR-17 appears to differ somewhat between different studies, either promoting apoptosis via increased p53  or promoting invasion and migration via HBP1/β-catenin . Further, it has been associated with the more aggressive triple negative breast cancer subtype [37, 38]. Our findings that miR-17 increases HSD17B1 expression would support the oncogenic role of miR-17. Regarding miR-7-5p, we saw a highly variable response, which could indicate an indirect, or relatively modest direct effect on HSD17B1. These findings make us question the relevance of miR-7-5p regarding HSD17B1 regulation. The relatively uncharacterized miR-1304-3p caused repression of HSD17B1 in ZR-75-1 and MCF10A cells, with a similar trend in T-47D cells. Based on these findings miR-1304-3p could be relevant in the control of estrogen activity in breast cancer. MiR-498 is frequently downregulated in several forms of cancer, and we show downregulation of HSD17B2 upon treatment with miR-498, suggesting a pro-estrogenic role of this miRNA. Transfection with the tumor suppressors miR-204-5p and miR-205-3p, [39-42], resulted in decreased HSD17B2 in T-47D and MCF10A. These findings were surprising since HSD17B2 is tissue protective, the expected effect would have been either no effect or an increase in HSD17B2 following treatment. Lastly, we show that the poorly characterized miR-579-3p is a potent down regulator of HSD17B2 in ZR-75-1 and MCF10A, providing some of the first hints as to its role in breast cancer. Taken together, these findings are the first to characterize miRNAs controlling HSD17B1 and HSD17B2 in breast cancer cell lines. Further knowledge of the expression patterns of these miRNAs in breast cancer is still needed.
To determine if other genes involved in breast cancer could mediate changes in HSD17B1 or HSD17B2 expression, we analyzed the effect of downregulation of GREB1, HRAS, PRKCZ, CX3CL1, EPHB6, KLK5, TP63, and TRIM29 on HSD17B1 and HSD17B2 gene expression. CX3CL1, EPHB6, KLK5, GREB1, and TP63 are all associated with adverse outcome when expressed [43-56]. A more detailed list of the function of these genes is found in Supplementary Table 4 [43-56]. The estrogen response gene GREB1 seemed to promote HSD17B1 and suppress HSD17B2 in T47D cells, which would promote increased steroid activation. Also, we found that upon CX3CL1, EPHB6, and KLK5 downregulation, HSD17B1 expression increased. Downregulation of GREB1, EPBH6 and TP63 resulted in increased HSD17B2 expression. There was a suppressive effect of CX3CL1 and TP63 on both HSD17B1 and HSD17B2. These findings could indicate a switch to a more steroid independent phenotype as the tumor progresses, and steroid activity is less pivotal in determining the future of the tumor.
We used the mRNA expression to determine the effect of steroids, miRNA and the genes involved in breast cancer cell lines, which is a reliable and robust method to detected changes in gene expression, with the drawback that mRNA expression does not always correlate to protein expression. Further, we used mRNA to quantify the effect of the miRNA. While an efficient approach, it does have the drawback of not being able to detect partial binding of mRNA which does not result in degradation of the mRNA target. However, expression analyses of miRNA targets are unable to detect if miRNA effects are direct or indirect, which makes the determination of miRNA true targets more difficult.
MATERIALS AND METHODS
The breast cancer epithelial cell lines ZR-75-1, MCF7, T-47D, and SK-BR-3, as well as the immortalized epithelial cell line MCF10A were acquired from the American Type Culture Collection (ATCC, Manassas, VA). The authenticity of the cell lines was validated using short-tandem repeat (STR)s profiling prior to purchase. All experiments were conducted while cells were in passages 5-30. ZR-75-1, MCF7, and T-47D cells are ERα and AR-positive, Supplementary Figure 3, and express HSD17B1 and HSD17B2. SK-BR-3 and MCF10A are ERα and AR-negative but express HSD17B1 and HSD17B2. ZR-75-1, MCF7, T-47D cells, and SK-BR-3 were maintained in OptiMem (Thermo Fisher Scientific, MA, USA) without phenol red supplemented with 4% (v/v) FBS. MCF10A was maintained in Mammary Epithelial Cell Growth Medium (MEGM) w/o phenol red supplemented with bovine pituitary extract, hydrocortisone, human epithelial growth factor and insulin (Lonza, Basel, Switzerland) and 100ng/ml cholera toxin (C8052, Merck KGaA, Darmstadt Germany). All cells were maintained at 5% CO2 at 37°C in a humidified incubator.
ZR-75-1, MCF7, T-47D, and SK-BR-3 cells were seeded in media containing FBS. Eight hours after seeding, the cells were switched to charcoal treated serum (CTS) and incubated for 16 hours before addition of hormone treatment. Estradiol (E8875, Merck) and dihydrotestosterone (A8380, Merck) were diluted in 99.5% ethanol and added to CTS containing media for a final ethanol concentration of 0.1% (v/v) 5-10 minutes before addition to the cells, and the medium was replaced every 24 hours. Final estradiol concentration was 5nM or 10nM and dihydrotestosterone concentration was 10nM. Cells were harvested after 24, 48 hours or 7 days of steroid treatment. All treatments were done in triplicates and repeated three to six times.
Treatment with ERα siRNA and Hormonal treatment
ZR-75-1, MCF7, and T-47D were transfected using reverse transfection of 11.25nM estrogen receptor siRNA s4823 (Thermo Fisher Scientific) using Dharmafect 1 with a final concentration of 0.5% (v/v) out of the total media volume (GE Healthcare, Little Chalfont, United Kingdom) and incubated for 30 hours. At this time the media was changed to CTS containing media. After a 16-hour incubation in CTS, freshly prepared 5nM estradiol containing CTS medium was added to the cells and subsequently changed every 24 hours. Cells were harvested 48 hours or 7 days after the beginning of the estradiol treatment. All treatments were done in triplicates and repeated three times.
Treatment with AR inhibitor
ZR-75-1, MCF7, and T-47D cells were seeded in media containing FBS. Eight hours after seeding, the cells were switched to CTS and incubated for 16 hours before addition of hormone treatment. Dihydrotestosterone (A8380, Merck) was diluted in 99.5% ethanol. Hydroxyflutamide (H4166, Merck) was diluted in DMSO. dihydrotestosterone and hydroxyflutamide were added to CTS containing media for a final ethanol and DMSO concentration of 0.1% (v/v) 5-10 minutes before addition to the cells, and the medium was replaced every 24 hours. Final dihydrotestosterone concentration was 10nM, and the final hydroxyflutamide concentration was 10μM. Cells were harvested 48 hours or 7 days after the start of steroid treatment. All treatments were done in triplicates and repeated three times.
Treatment with miRNA
The miRNAs were chosen based on a literature study and bioinformatics predictions using miRSearch v3.0 (exiqon), microT v4  and TargetScan . All miRNA experiments were carried out using miRIDIAN microRNA mimics (GE Healthcare) or mirVana miRNA mimics (Thermo Fisher Scientific). A full list of miRNAs used is shown in Supplementary Table 1. ZR-75-1, MCF7, T-47D, and MCF10A cells were seeded 24 hours prior to transfection. The microRNA mimic was added at a final concentration of 40nM combined with Dharmafect 1 (GE Healthcare) with a final concentration of 0.5% (v/v) out of the total media volume. The cells were harvested at 48 hours after transfection. An initial screening to determine which miRNA efficiently regulated HSD17B1 or HSD17B2 was performed two times. The experiments to validate miRNA presented in this work were performed in triplicates and repeated three times.
Treatment with siRNA
We prioritized genes for this study by their co-expression with HSD17B1 and HSD17B2 using published transcriptomics datasets (Cancer Genome Atlas Network, 2012). The whole TCGA breast cancer cohort included 1098 patients. We analyzed the co-expression of HSD17B1 and HSD17B2 with protein-coding genes only in the ERα-positive samples. The ERα-positive parts of the transcriptomics datasets from Agilent microarrays, as well as RNA-sequencing of versions 1 and 2, included 430, 630, and 830 patients, respectively. The strength and significance of the correlation between either HSD17B1 or HSD17B2 and any other genes (G) were analyzed in a multiple regression models, which also included available clinical covariates known to affect the breast cancer transcriptome, namely the AJCC pathologic tumor stage, progesterone receptor status, and HER2 status:
In this framework, the p-values for the β4EG term reported net correlations between gene expression profiles of HSD17B and G, i.e. independently of the AJCC, PR, and HER2 values. The p-value sets from each transcriptomics dataset were separately adjusted for multiple testing by Benjamini and Hochberg . In parallel, we calculated Spearman rank correlation coefficients between HSD17B (1, 2) and G. By requiring absolute rank r>0.35 and adjusted p (β4EG) <0.01, we obtained a list of 382 distinct genes. The results from all the transcriptomics datasets together were ranked by p-value and then the top 80 genes were subjected to a literature search of possible connections of these genes to estrogen or androgen signaling in breast cancer (keywords used were breast cancer, estrogen, Estrogen receptor, proliferation, AKT, MAPK, migration, metastasis, PI3K, tumor invasion, androgens, aromatase). Finally, the 13 most promising genes were selected for down-regulation by siRNA. Two siRNAs were transfected for each gene. A full list of siRNA is shown in Supplementary Table 2. ZR-75-1, MCF7, and T-47D cells were transfected using reverse transfection of 10nM silence select siRNA (Thermo Fisher Scientific) using Dharmafect 1 (GE Healthcare) with a final concentration of 0.5% (v/v) out of the total media volume. The cells were harvested at 48 hours after transfection. The initial screening was performed twice. Based on the screening, GREB1, HRAS, PRKCZ, CX3CL1, EPHB6, KLK5, TP63, and TRIM29 were chosen for validation. The validation experiments were performed in triplicates and repeated thrice.
Semi-quantitative polymerase chain reaction (qPCR)
RNA from the hormonal treatment, microRNA, and siRNA experiments was isolated using TRIzol (Thermo Fisher Scientific) according to manufacturer’s instructions. Reverse transcription-PCR was performed using the High Capacity cDNA kit (Thermo Fisher Scientific). The qPCR reaction was conducted using TaqMan® Fast Universal PCR Master Mix without AmpErase UNG (Thermo Fisher Scientific). A list of assays used can be found in Supplementary Table 3. For HSD17B1 the following custom primer/probes were used: forward primer 5’-TAT GCG AGA GTC TGG CGG TT-3’, reverse primer; 5’-TGC ACT GGG CCG CAC T-3’ and the probe 5’-CGA TCA GGC TCA AGT GGA CCC CAA-3’. For all experiments Peptidylprolyl Isomerase A (Cyclophilin A), and beta-actin were used as endogenous controls. Data analyses were performed according to the ΔΔCt method, and relative concentrations were calculated against the appropriate control, detailed in the respective result section.
The differences between groups were analyzed using Student’s t-test. GraphPad Prism 7 (GraphPad Software, CA, USA) was used for all calculations and constructing of graphs. P-value cutoff was set at 0.05. In the figures, the following p-value symbols are used; * p<0.05, ** p<0.01 *** p<0.001 **** p<0.0001. Numbers in the graphs denote non-significant p-values.
In conclusion, we show that estradiol negatively regulates HSD17B1 in breast cancer cell lines, and a possible time sensitive modulator of HSD17B2. This effect appears to be reliant on ERα since no response was seen in ERα negative cells or cells treated with siRNA against ERα at 48 hours. Further, dihydrotestosterone has a primarily reductive impact on HSD17B1 expression, but the primary effect seen was an increase in HSD17B2 expression in all tested cell lines. This appears to be reliant on at least in part signaling through AR since a minor response was seen in AR-negative cells or and a reduced response was seen in cells treated with hydroxyflutamide. We found eight miRNAs which modulate HSD17B1 or HSD17B2 expression, and five genes which appear able to control HSD17B1 or HSD17B2 expression in breast cancer cell lines. These findings shed light on the complex control mechanisms for how the two primary steroid converting HSD17 enzymes are regulated in breast cancer cell lines, and will hopefully open up for further lines of study which could lead to therapeutic interventions.
ER: estrogen receptor
AR: androgen receptor
STS: steroid sulfatase
GREB1: Growth Regulation By Estrogen In Breast Cancer 1
HRAS: Harvey Rat Sarcoma Viral Oncogene Homolog
PRKCZ: Protein kinase C Zeta
CX3CL1: Chemokine (C-X3-C Motif) Ligand 1
EPHB6: EPH Receptor B6
KLK5: Kallikrein-Related Peptidase 5
TP63: Tumor Protein P63
TRIM29: Tripartite Motif Containing 29
EH and AJ formulated the hypothesis. EH planned and executed the experiments and conducted the statistics on the results from all experiments. AA conducted the correlation analysis using the TCGA cohort and provided statistical input on the paper. AJ and OS provided feedback on experimental approaches and all authors read and approved the final manuscript.
We would like to acknowledge the assistance from students Alexander Hung and Kim Silvander in conducting some of the work for the miRNA portion of the project. The assistance from the National Bioinformatics Infrastructure Sweden is gratefully acknowledged.
CONFLICTS OF INTEREST
There are no conflicts of interest for any of the authors at the time of submission.
This work was funded by generous grants from the Swedish Research Council, (grant number A0346701, www.vr.se), the Swedish Cancer Foundation, grant number (150349, www.cancerfonden.se) and Stiftelsen Onkologiska Klinikernas i Linköping Forskningsfond.
1. Niemeier LA, Dabbs DJ, Beriwal S, Striebel JM, Bhargava R. Androgen receptor in breast cancer: expression in estrogen receptor-positive tumors and in estrogen receptor-negative tumors with apocrine differentiation. Mod Pathol. 2010; 23: 205-12. doi: 10.1038/modpathol.2009.159.
2. Qi JP, Yang YL, Zhu H, Wang J, Jia Y, Liu N, Song YJ, Zan LK, Zhang X, Zhou M, Gu YH, Liu T, Hicks DG, et al. Expression of the androgen receptor and its correlation with molecular subtypes in 980 chinese breast cancer patients. Breast Cancer (Auckl). 2012; 6: 1-8. doi: 10.4137/BCBCR.S8323.
3. Park S, Koo J, Park HS, Kim JH, Choi SY, Lee JH, Park BW, Lee KS. Expression of androgen receptors in primary breast cancer. Ann Oncol. 2010; 21: 488-92. doi: 10.1093/annonc/mdp510.
4. Moinfar F, Okcu M, Tsybrovskyy O, Regitnig P, Lax SF, Weybora W, Ratschek M, Tavassoli FA, Denk H. Androgen receptors frequently are expressed in breast carcinomas: potential relevance to new therapeutic strategies. Cancer. 2003; 98: 703-11. doi: 10.1002/cncr.11532.
5. Frasor J, Danes JM, Komm B, Chang KC, Lyttle CR, Katzenellenbogen BS. Profiling of estrogen up- and down-regulated gene expression in human breast cancer cells: insights into gene networks and pathways underlying estrogenic control of proliferation and cell phenotype. Endocrinology. 2003; 144: 4562-74. doi: 10.1210/en.2003-0567.
6. Castellano I, Allia E, Accortanzo V, Vandone AM, Chiusa L, Arisio R, Durando A, Donadio M, Bussolati G, Coates AS, Viale G, Sapino A. Androgen receptor expression is a significant prognostic factor in estrogen receptor positive breast cancers. Breast Cancer Res Treat. 2010; 124: 607-17. doi: 10.1007/s10549-010-0761-y.
7. Park S, Koo JS, Kim MS, Park HS, Lee JS, Lee JS, Kim SI, Park BW, Lee KS. Androgen receptor expression is significantly associated with better outcomes in estrogen receptor-positive breast cancers. Ann Oncol. 2011; 22: 1755-62. doi: 10.1093/annonc/mdq678.
8. Park S, Park HS, Koo JS, Yang WI, Kim SI, Park BW. Higher expression of androgen receptor is a significant predictor for better endocrine-responsiveness in estrogen receptor-positive breast cancers. Breast Cancer Res Treat. 2012; 133: 311-20. doi: 10.1007/s10549-011-1950-z.
9. Qu Q, Mao Y, Fei XC, Shen KW. The impact of androgen receptor expression on breast cancer survival: a retrospective study and meta-analysis. PLoS One. 2013; 8: e82650. doi: 10.1371/journal.pone.0082650.
10. Vera-Badillo FE, Templeton AJ, de Gouveia P, Diaz-Padilla I, Bedard PL, Al-Mubarak M, Seruga B, Tannock IF, Ocana A, Amir E. Androgen receptor expression and outcomes in early breast cancer: a systematic review and meta-analysis. J Natl Cancer Inst. 2013. doi: 10.1093/jnci/djt319.
11. Adamski J, Normand T, Leenders F, Monte D, Begue A, Stehelin D, Jungblut PW, de Launoit Y. Molecular cloning of a novel widely expressed human 80 kDa 17 beta-hydroxysteroid dehydrogenase IV. Biochem J. 1995; 311: 437-43.
12. Dufort I, Rheault P, Huang XF, Soucy P, Luu-The V. Characteristics of a highly labile human type 5 17beta-hydroxysteroid dehydrogenase. Endocrinology. 1999; 140: 568-74. doi: 10.1210/endo.140.2.6531.
13. Wu L, Einstein M, Geissler WM, Chan HK, Elliston KO, Andersson S. Expression cloning and characterization of human 17 beta-hydroxysteroid dehydrogenase type 2, a microsomal enzyme possessing 20 alpha-hydroxysteroid dehydrogenase activity. J Biol Chem. 1993; 268: 12964-9.
14. Miettinen MM, Mustonen MV, Poutanen MH, Isomaa VV, Vihko RK. Human 17 beta-hydroxysteroid dehydrogenase type 1 and type 2 isoenzymes have opposite activities in cultured cells and characteristic cell- and tissue-specific expression. Biochem J. 1996; 314: 839-45.
15. Nokelainen P, Peltoketo H, Vihko R, Vihko P. Expression cloning of a novel estrogenic mouse 17 beta-hydroxysteroid dehydrogenase/17-ketosteroid reductase (m17HSD7), previously described as a prolactin receptor-associated protein (PRAP) in rat. Mol Endocrinol. 1998; 12: 1048-59. doi: 10.1210/mend.12.7.0134.
16. Goto J, Fishman J. Participation of a nonenzymatic transformation in the biosynthesis of estrogens from androgens. Science. 1977; 195: 80-1.
17. Roy AB. The sulphatase of ox liver. VI. Steroid sulphatase. Biochem J. 1957; 66: 700-3.
18. Aka JA, Mazumdar M, Chen CQ, Poirier D, Lin SX. 17beta-hydroxysteroid dehydrogenase type 1 stimulates breast cancer by dihydrotestosterone inactivation in addition to estradiol production. Mol Endocrinol. 2010; 24: 832-45. doi: 10.1210/me.2009-0468.
19. Jansson A, Delander L, Gunnarsson C, Fornander T, Skoog L, Nordenskjold B, Stal O. Ratio of 17HSD1 to 17HSD2 protein expression predicts the outcome of tamoxifen treatment in postmenopausal breast cancer patients. Clin Cancer Res. 2009; 15: 3610-6. doi: 10.1158/1078-0432.CCR-08-2599.
20. Labrie F, Luu-The V, Lin SX, Labrie C, Simard J, Breton R, Belanger A. The key role of 17 beta-hydroxysteroid dehydrogenases in sex steroid biology. Steroids. 1997; 62: 148-58.
21. Gunnarsson C, Hellqvist E, Stal O. 17beta-hydroxysteroid dehydrogenases involved in local oestrogen synthesis have prognostic significance in breast cancer. Br J Cancer. 2005; 92: 547-52.
22. Gunnarsson C, Olsson BM, Stal O, Southeast Sweden Breast Cancer G. Abnormal expression of 17beta-hydroxysteroid dehydrogenases in breast cancer predicts late recurrence. Cancer Res. 2001; 61: 8448-51.
23. Oduwole OO, Li Y, Isomaa VV, Mantyniemi A, Pulkka AE, Soini Y, Vihko PT. 17beta-hydroxysteroid dehydrogenase type 1 is an independent prognostic marker in breast cancer. Cancer Res. 2004; 64: 7604-9. doi: 10.1158/0008-5472.CAN-04-0446.
24. Suzuki T, Moriya T, Ariga N, Kaneko C, Kanazawa M, Sasano H. 17Beta-hydroxysteroid dehydrogenase type 1 and type 2 in human breast carcinoma: a correlation to clinicopathological parameters. Br J Cancer. 2000; 82: 518-23. doi: 10.1054/bjoc.1999.0956.
25. Takagi K, Miki Y, Nagasaki S, Hirakawa H, Onodera Y, Akahira J, Ishida T, Watanabe M, Kimijima I, Hayashi S, Sasano H, Suzuki T. Increased intratumoral androgens in human breast carcinoma following aromatase inhibitor exemestane treatment. Endocr Relat Cancer. 2010; 17: 415-30. doi: 10.1677/ERC-09-0257.
26. Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005; 120: 15-20. doi: 10.1016/j.cell.2004.12.035.
27. Ishibashi O, Ohkuchi A, Ali MM, Kurashina R, Luo SS, Ishikawa T, Takizawa T, Hirashima C, Takahashi K, Migita M, Ishikawa G, Yoneyama K, Asakura H, et al. Hydroxysteroid (17-beta) dehydrogenase 1 Is dysregulated by Mir-210 and Mir-518c that are aberrantly expressed in preeclamptic placentas: a novel marker for predicting preeclampsia. Hypertension. 2012; 59: 265-73. doi: 10.1161/Hypertensionaha.111.180232.
28. Zhou Z, Speiser PW. Regulation of HSD17B1 and SRD5A1 in lymphocytes. Mol Genet Metab. 1999; 68: 410-7. doi: 10.1006/mgme.1999.2898.
29. Chanplakorn N, Chanplakorn P, Suzuki T, Ono K, Chan MS, Miki Y, Saji S, Ueno T, Toi M, Sasano H. Increased estrogen sulfatase (STS) and 17beta-hydroxysteroid dehydrogenase type 1(17beta-HSD1) following neoadjuvant aromatase inhibitor therapy in breast cancer patients. Breast Cancer Res Treat. 2010; 120: 639-48. doi: 10.1007/s10549-010-0785-3.
30. Vihko P, Harkonen P, Oduwole O, Torn S, Kurkela R, Porvari K, Pulkka A, Isomaa V. 17 beta-hydroxysteroid dehydrogenases and cancers. J Steroid Biochem Mol Biol. 2002; 83: 119-22.
31. Pasqualini JR, Chetrite GS. Hormonal enzymatic systems in normal and cancerous human breast: control, prognostic factors, and clinical applications. Horm Mol Biol Clin Investig. 2012; 9: 25-63. doi: 10.1515/hmbci-2012-0018.
32. Al-Bader M, Ford C, Al-Ayadhy B, Francis I. Analysis of estrogen receptor isoforms and variants in breast cancer cell lines. Exp Ther Med. 2011; 2: 537-44. doi: 10.3892/etm.2011.226.
33. Hilborn E, Stal O, Jansson A. Estrogen and androgen-converting enzymes 17beta-hydroxysteroid dehydrogenase and their involvement in cancer: with a special focus on 17beta-hydroxysteroid dehydrogenase type 1, 2, and breast cancer. Oncotarget. 2017; 8: 30552-62. doi: 10.18632/oncotarget.15547.
34. Huang X, Zuo J. Emerging roles of miR-210 and other non-coding RNAs in the hypoxic response. Acta Biochim Biophys Sin (Shanghai). 2014; 46: 220-32. doi: 10.1093/abbs/gmt141.
35. Place RF, Li LC, Pookot D, Noonan EJ, Dahiya R. MicroRNA-373 induces expression of genes with complementary promoter sequences. Proc Natl Acad Sci U S A. 2008; 105: 1608-13. doi: 10.1073/pnas.0707594105.
36. Yu Z, Xu Z, Disante G, Wright J, Wang M, Li Y, Zhao Q, Ren T, Ju X, Gutman E, Wang G, Addya S, Li T, et al. miR-17/20 sensitization of breast cancer cells to chemotherapy-induced apoptosis requires Akt1. Oncotarget. 2014; 5: 1083-90. doi: 10.18632/oncotarget.1804.
37. Li H, Bian C, Liao L, Li J, Zhao RC. miR-17-5p promotes human breast cancer cell migration and invasion through suppression of HBP1. Breast Cancer Res Treat. 2011; 126: 565-75. doi: 10.1007/s10549-010-0954-4.
38. Chang YY, Kuo WH, Hung JH, Lee CY, Lee YH, Chang YC, Lin WC, Shen CY, Huang CS, Hsieh FJ, Lai LC, Tsai MH, Chang KJ, et al. Deregulated microRNAs in triple-negative breast cancer revealed by deep sequencing. Mol Cancer. 2015; 14: 36. doi: 10.1186/s12943-015-0301-9.
39. Wang X, Qiu W, Zhang G, Xu S, Gao Q, Yang Z. MicroRNA-204 targets JAK2 in breast cancer and induces cell apoptosis through the STAT3/BCl-2/survivin pathway. Int J Clin Exp Pathol. 2015; 8: 5017-25.
40. Wang L, Tian H, Yuan J, Wu H, Wu J, Zhu X. CONSORT: Sam68 is directly regulated by MiR-204 and promotes the self-renewal potential of breast cancer cells by activating the Wnt/Beta-catenin signaling pathway. Medicine (Baltimore). 2015; 94: e2228. doi: 10.1097/MD.0000000000002228.
41. Zeng J, Wei M, Shi R, Cai C, Liu X, Li T, Ma W. MiR-204-5p/Six1 feedback loop promotes epithelial-mesenchymal transition in breast cancer. Tumour Biol. 2016; 37: 2729-35. doi: 10.1007/s13277-015-4039-1.
42. Su CM, Lee WH, Wu AT, Lin YK, Wang LS, Wu CH, Yeh CT. Pterostilbene inhibits triple-negative breast cancer metastasis via inducing microRNA-205 expression and negatively modulates epithelial-to-mesenchymal transition. J Nutr Biochem. 2015; 26: 675-85. doi: 10.1016/j.jnutbio.2015.01.005.
43. Laviolette LA, Hodgkinson KM, Minhas N, Perez-Iratxeta C, Vanderhyden BC. 17beta-estradiol upregulates GREB1 and accelerates ovarian tumor progression in vivo. Int J Cancer. 2014; 135: 1072-84. doi: 10.1002/ijc.28741.
44. Chand AL, Wijayakumara DD, Knower KC, Herridge KA, Howard TL, Lazarus KA, Clyne CD. The orphan nuclear receptor LRH-1 and ERalpha activate GREB1 expression to induce breast cancer cell proliferation. PLoS One. 2012; 7: e31593. doi: 10.1371/journal.pone.0031593.
45. Liu M, Wang G, Gomez-Fernandez CR, Guo S. GREB1 functions as a growth promoter and is modulated by IL6/STAT3 in breast cancer. PLoS One. 2012; 7: e46410. doi: 10.1371/journal.pone.0046410.
46. Orzol P, Nekulova M, Holcakova J, Muller P, Votesek B, Coates PJ. DeltaNp63 regulates cell proliferation, differentiation, adhesion, and migration in the BL2 subtype of basal-like breast cancer. Tumour Biol. 2016; 37: 10133-40. doi: 10.1007/s13277-016-4880-x.
47. Dang TT, Esparza MA, Maine EA, Westcott JM, Pearson GW. DeltaNp63alpha promotes breast cancer cell motility through the selective activation of components of the epithelial-to-mesenchymal transition program. Cancer Res. 2015; 75: 3925-35. doi: 10.1158/0008-5472.CAN-14-3363.
48. Husa AM, Magic Z, Larsson M, Fornander T, Perez-Tenorio G. EPH/ephrin profile and EPHB2 expression predicts patient survival in breast cancer. Oncotarget. 2016; 7: 21362-80. doi: 10.18632/oncotarget.7246.
49. Brantley-Sieders DM, Jiang A, Sarma K, Badu-Nkansah A, Walter DL, Shyr Y, Chen J. Eph/ephrin profiling in human breast cancer reveals significant associations between expression level and clinical outcome. PLoS One. 2011; 6: e24426. doi: 10.1371/journal.pone.0024426.
50. Fox BP, Kandpal RP. A paradigm shift in EPH receptor interaction: biological relevance of EPHB6 interaction with EPHA2 and EPHB2 in breast carcinoma cell lines. Cancer Genomics Proteomics. 2011; 8: 185-93.
51. Li X, Liu J, Wang Y, Zhang L, Ning L, Feng Y. Parallel underexpression of kallikrein 5 and kallikrein 7 mRNA in breast malignancies. Cancer Sci. 2009; 100: 601-7. doi: 10.1111/j.1349-7006.2009.01090.x.
52. Sidiropoulos KG, White NM, Bui A, Ding Q, Boulos P, Pampalakis G, Khella H, Samuel JN, Sotiropoulou G, Yousef GM. Kallikrein-related peptidase 5 induces miRNA-mediated anti-oncogenic pathways in breast cancer. Oncoscience. 2014; 1: 709-24. doi: 10.18632/oncoscience.91.
53. Pampalakis G, Obasuyi O, Papadodima O, Chatziioannou A, Zoumpourlis V, Sotiropoulou G. The KLK5 protease suppresses breast cancer by repressing the mevalonate pathway. Oncotarget. 2014; 5: 2390-403. doi: 10.18632/oncotarget.1235.
54. Tardaguila M, Mira E, Garcia-Cabezas MA, Feijoo AM, Quintela-Fandino M, Azcoitia I, Lira SA, Manes S. CX3CL1 promotes breast cancer via transactivation of the EGF pathway. Cancer Res. 2013; 73: 4461-73. doi: 10.1158/0008-5472.CAN-12-3828.
55. Park MH, Lee JS, Yoon JH. High expression of CX3CL1 by tumor cells correlates with a good prognosis and increased tumor-infiltrating CD8+ T cells, natural killer cells, and dendritic cells in breast carcinoma. J Surg Oncol. 2012; 106: 386-92. doi: 10.1002/jso.23095.
56. Tsang JY, Ni YB, Chan SK, Shao MM, Kwok YK, Chan KW, Tan PH, Tse GM. CX3CL1 expression is associated with poor outcome in breast cancer patients. Breast Cancer Res Treat. 2013; 140: 495-504. doi: 10.1007/s10549-013-2653-4.
57. Maragkakis M, Vergoulis T, Alexiou P, Reczko M, Plomaritou K, Gousis M, Kourtis K, Koziris N, Dalamagas T, Hatzigeorgiou AG. DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association. Nucleic Acids Res. 2011; 39: W145-8. doi: 10.1093/nar/gkr294.
58. Grimson A, Farh KK, Johnston WK, Garrett-Engele P, Lim LP, Bartel DP. MicroRNA targeting specificity in mammals: determinants beyond seed pairing. Mol Cell. 2007; 27: 91-105. doi: 10.1016/j.molcel.2007.06.017.
59. Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B. 1995; 57: 289-300.
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