- Research article
- Open Access
- Open Peer Review
CYP1B1 promotes tumorigenesis via altered expression of CDC20 and DAPK1 genes in renal cell carcinoma
BMC Cancervolume 15, Article number: 942 (2015)
Cytochrome P450 1B1 (CYP1B1) has been shown to be up-regulated in many types of cancer including renal cell carcinoma (RCC). Several reports have shown that CYP1B1 can influence the regulation of tumor development; however, its role in RCC has not been well investigated. The aim of the present study was to determine the functional effects of CYP1B1 gene on tumorigenesis in RCC.
Expression of CYP1B1 was determined in RCC cell lines, and tissue microarrays of 96 RCC and 25 normal tissues. To determine the biological significance of CYP1B1 in RCC progression, we silenced the gene in Caki-1 and 769-P cells by RNA interference and performed various functional analyses.
First, we confirmed that CYP1B1 protein expression was significantly higher in RCC cell lines compared to normal kidney tissue. This trend was also observed in RCC samples (p < 0.01). Interestingly, CYP1B1 expression was associated with tumor grade and stage. Next, we silenced the gene in Caki-1 and 769-P cells by RNA interference and performed various functional analyses to determine the biological significance of CYP1B1 in RCC progression. Inhibition of CYP1B1 expression resulted in decreased cell proliferation, migration and invasion of RCC cells. In addition, reduction of CYP1B1 induced cellular apoptosis in Caki-1. We also found that these anti-tumor effects on RCC cells caused by CYP1B1 depletion may be due to alteration of CDC20 and DAPK1 expression based on gene microarray and confirmed by real-time PCR. Interestingly, CYP1B1 expression was associated with CDC20 and DAPK1 expression in clinical samples.
CYP1B1 may promote RCC development by inducing CDC20 expression and inhibiting apoptosis through the down-regulation of DAPK1. Our results demonstrate that CYP1B1 can be a potential tumor biomarker and a target for anticancer therapy in RCC.
In 2014 kidney cancer affected nearly 63,920 people with an estimated 13,860 cancer related deaths in the United States . Among the various forms of kidney cancers, renal cell carcinoma (RCC) is the most common, attributing about 85 % . Recent advances in imaging technology and surgical techniques have contributed to the improvement of oncologic outcomes for patients with RCC. However, management of advanced RCC remains an extraordinary challenge because of limited therapeutic options and poor prognosis. Indeed, the 5-year survival rate for RCC patients with metastasis is less than 10 % . In addition, about 30 % of localized RCC patients experience recurrence and/or metastases after curative radical surgery . Thus, an increased understanding of the molecular basis of renal carcinogenesis may contribute to the development of better therapeutic and diagnostic strategies for the disease.
Cytochrome P450 1B1 (CYP1B1) belongs to the cytochrome P450 superfamily involved in the metabolism of a diverse range of endogenous and xenobiotic compounds including many carcinogens [5, 6]. CYP1B1 produces 4-hydroxy estrogens via hydroxylation of the parent estrogen , which has been postulated to play a major role in carcinogenesis by inducing DNA damage, mutation, and depurination . Indeed, previous studies have demonstrated that CYP1B1 inhibition could prevent endometrial and head and neck carcinogenesis [9, 10]. Although CYP1B1 is expressed in normal tissues, it is expressed at much higher levels in many malignancies including RCC [11, 12]. In addition, elevated CYP1B1 enzymatic activity was found in RCC  despite the tumorigenicity of CYP1B1 in RCC has not been elucidated.
Dysregulated cellular proliferation is one of the most important factors that lead to tumorgenesis. In mitosis phase, the progression of the cell cycle is tightly regulated by the anaphase-promoting complex/cyclosome (APC/C), which is a downstream target of the mitotic spindle assembly checkpoint. The cell division cycle 20 homolog (CDC20), an essential regulator of cell division, complexes with APC/C which leads to the initiation of anaphase in early mitosis . Therefore dysregulation of CDC20 may play important roles in cell growth and tumorigenesis. Recent studies have shown that CDC20 overexpression might be associated with an inappropriately functioning spindle assembly checkpoint, resulting in aneuploidy [15, 16]. Indeed, CDC20 overexpression has been linked to poor prognosis in lung , colon , bladder , gastric  and breast  carcinomas.
Apoptosis, a genetically controlled mechanism of cell death, is involved in embryonic development, tissue homeostasis and many diseases including cancer . An imbalance between pro-apoptotic and anti-apoptotic factors induces an abnormal pattern of cell death. The death-associated protein kinase-1 (DAPK1), a serine/threonine kinase, is a p53 target gene and its activation may lead to apoptosis through activation of p53 [23, 24]. DAPK1 is widely expressed in normal tissues, while it is down-regulated in various malignancies [25–28].
Interestingly, a recent study has demonstrated that attenuation of CYP1B1 expression has anti-proliferative and pro-apoptotic effects on endometrial cancer . In light of this, we hypothesized that CYP1B1 may play a key role in renal carcinogenesis. The aim of this study was to identify the role of CYP1B1 in the pathogenesis of RCC. In this study, we confirmed that CYP1B1 expression was up-regulated in both RCC cells and samples. To validate the functional significance of CYP1B1 overexpression, we depleted the gene in RCC cell lines by RNA interference and performed functional analysis. We also identified several key genes of the pathway involved in transformation and tumorigenesis based on gene microarray data. Finally, we found that CDC20 and DAPK1 are potentially regulated by CYP1B1.
Normal kidney sample and tissue microarray
Fresh frozen normal kidney tissue was purchased from BioServe (Beltsville, MD, USA). In total, 96 primary RCC comprised of 31 specimens from tissue microarray (TMA) KD951, 40 specimens from TMA KD485 (both acquired from US Biomax, Rockville, MD, USA), and 25 specimens from TMA CT565907 (ORIGENE, Rockville, MD, USA) were evaluated. Also, twenty-five normal kidney specimens were obtained from these 3 TMAs. Median patient age at surgery was 57 years old. Of the 96 RCC specimens, 83 were clear cell carcinoma and the remaining 13 specimens were non-clear cell carcinoma (3 papillary carcinoma, 3 chromophobe carcinoma, 3 sarcomatoid carcinoma, 2 granular carcinoma and 2 collecting duct carcinoma). Forty-seven (49.0 %) patients had Fuhrman grade 1 or 2, 15 (15.6 %) were grade 3 or 4, and the remaining 34 (35.4 %) were unknown. Forty (41.7 %) patients were stage I, 16 (16.7 %) patients stage II, 7 (7.3 %) stage III, 2 (2.1 %) stage IV, and the remaining 31 (32.2 %) were unknown.
Cell lines and reagents
Renal cancer cell lines, Caki-1, Caki-2, A498, ACHN, 786-O and 769-P were obtained from the American Type Culture Collection (Manassas, VA, USA). McCoy’s 5A, MEM Eagle’s BSS (EMEM), RPMI 1640, Opti-MEM and penicillin/streptomycin mixture were obtained from the UCSF Cell Culture Facility (San Francisco, CA, USA). Fetal bovine serum (FBS) was a product of Atlanta Biologicals (Lawrenceville, GA, USA).
Caki-1 and Caki-2 cells were cultured in McCoy’s 5A, and A498 and ACHN cells were maintained in EMEM medium while 786-O and 769-P cells were cultured in RPMI 1640 medium. All culture medium contained 10 % FBS and 100 μg/ml penicillin/streptomycin. All cell lines were maintained at 37 °C in a humidified atmosphere composed of 5 % CO2 and 95 % air.
Knockdown of CYP1B1 in Caki-1 and 769-P cells
Oligonucleotides siRNA against human CYP1B1 and mismatch control oligonucleotides were purchased from Life technologies. For inhibition of CYP1B1, 5 μl of siRNA oligonucleotides (siRNA-CYP1B1 or siRNA-control) and 5 μl of lipofectamine RNAiMAX reagent (Invitrogen-Life Technologies Inc., Carlsbad, CA, USA) were separately diluted with 250 μl of Opti-MEM (Gibco, Carlsbad, CA, USA). Cells were then transfected with lipofectamine + siRNA-CYP1B1, lipofectamine + siRNA-control, or left untransfected. Transfection was terminated after 5 h by aspirating the transfection medium and adding fresh RPMI 1640 containing 10 % FBS. Non-adherent cells were washed off and the remaining cells were incubated at 37 °C.
RNA extraction and quantitative RT-PCR
Total RNA was extracted from cultured cells using RNeasy Mini Kit (Qiagen) and was converted into cDNA by using an iScriptTM cDNA Synthesis Kit (BIO-RAD) according to the manufacturer’s instruction. To assess gene expression, cDNA was amplified with the TaqMan® Gene Expression Assays and TaqMan® Fast Universal PCR Master Mix using the 7500 Fast Real-Time PCR System. The target genes and their Assay ID were as follows: CYP1B1 (HSpp16383_m1), DKC1 (Hs00154737_m1), OCLN (Hs00170162_m1), FASLG (Hs00181225_m1), MKI67 (Hs01032443_m1), LPL (Hs00173425_m1), CA9 (Hs00154208_m1), CDC20 (Hs00426680_mH), TP73 (Hs00390315_m1), BCL2A1 (Hs00187845_m1), LTA (Hs04188773_g1), DAPK1 (Hs00234489_m1), BIRC5 (Hs04194391_sH) and GAPDH (Hs03929097_g1). The relative level was calculated by the comparative C t method (ΔΔC t) using the 7500 Fast System Sequence Detection Software (Applied Biosystems).
PCR assay of apoptosis and cancer pathways
cDNAs were evaluated for genes using the RT2 ProfilerTM PCR Array PAHS-012ZC (Human Apoptosis PCR Array) and the RT2 ProfilerTM PCR Array PAHS-033ZC (Human Cancer Pathway FinderTM ) on the ABI Fast 7900 real-time PCR system with RT2 Real-time SYBR Green PCR master mix according to the manufacturer’s protocol.
Cells were plated in triplicate in 96-well microplates at a density of 3 × 103 cells per well. The number of viable cells was determined by adding 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium-based CellTiter 96 Aqueous One Solution Reagent (Promega, Madison, WI) to each well and measuring the absorbance at 490 nm on SPECTRA MAX 190 plate reader (Molecular Devices, Sunnyvale, CA, USA).
Migration and invasion assay
Cell migration was evaluated by a wound-healing assay. Cells were plated in six-well dishes and the cell monolayers were scraped using a P-20 micropipette tip. Wound closure was monitored and the percent closure was measured. A cell invasion assay was carried out using modified Boyden Chambers consisting of transwell-precoated Matrigel membrane filter inserts with eight micro pores in 24-well tissue culture plates (BD Biosciences, Bedford, MA, USA). Cells were re-suspended in culture medium without FBS and placed in the upper chamber in triplicate. After 48 h incubation at 37 °C, cells migrating through the membrane were stained. The results were expressed as invaded cells quantified at OD 560 nm.
Fluorescence-activated cell-sorting (FACS) analysis for apoptosis was done 48 h post-transfection, using an annexin V-fluorescein isothiocyanate (FITC)/7-amino-actinomycin D (7-AAD) staining system obtained from BD Biosciences (San Diego, CA, USA) and a Cell Lab QuantaTM SC MPL (Beckman Coulter, Fullerton, CA, USA). Cells were stained with annexin V-FITC only (early apoptotic) or both annexin V-FITC and 7-AAD (late apoptotic) and considered to be total apoptotic cell fractions.
Normal kidney tissue and whole cell extracts were prepared using radioimmunoprecipitation assay buffer (RIPA; Thermo Scientific, Rockford, IL, USA) containing protease inhibitor cocktail (Roche Diagnostics, Basel, Switzerland). Protein quantification was done using a BCA protein assay kit (Pierce) according to the manufacturer’s instructions. Total cell protein (15–20 μg) was used for Western blotting. Samples were run on the polyacrylamide gels and then transferred to PVDF membranes. The membranes were immersed in 3 % skim milk in antibody against CYP1B1 (#ab32649, Abcam, Cambridge, MA, USA), CDC20 (#4823, Cell Signaling Technology), DAPK1 (#3008, Cell Signaling Technology) and GAPDH (#sc-32233, Santa Cruz) overnight at 4 °C. Blots were washed in TBS containing 0.1 % Tween20 and labeled with horseradish peroxidase conjugated secondary anti-rabbit antibody (Cell Signaling Technology). Specific complexes were visualized with an enhanced chemiluminescence (ECL) detection system (GE Healthcare, Little Chalfont, UK) using the Chemidoc imaging system (Bio Rad, CA, USA). Protein expression levels were expressed relative to GAPDH.
Immunostaining of CYP1B1, CDC20 and DAPK1 were performed on TMA slides using UltraVision Detection System (Thermo Scientific) according to the manufacture’s instruction, and 2 TMA slides were evaluated for each antibody. After 12 h incubation with rabbit polyclonal antibody for CYP1B1 (1:1500, #ab32649, Abcam), CDC20 (1:100, #ab86104, Abcam) and DAPK1 (1:250, #ab109382, Abcam), 3, 3'-diaminobenzidine (DAB) was added as chromogen followed by counterstaining with hematoxylin. The degree of immunostaining was evaluated by two independent observers who were blind to the clinical data of the TMAs. For CYP1B1, cytoplasmic expression was analyzed by the intensity of positive cells using Image J software (http://rsb.info.nih.gov/ij) and was ranked on an overall scale from 0 to 3; with 0 indicating the absence of staining; 1, weak staining; 2, moderate staining; and 3, strong staining . CDC20 and DAPK were scored by multiplication of the percentage of positively stained tumor cells and staining intensity according to previous studies [17, 18, 28]. Briefly, the percentage of positive cells was scored as: 0, 0 %; 1+, 1–10 %; 2+, 11–50 %; or 3+, 51–100 %. The intensity of nuclear staining and/or cytoplasmic staining was scored as follows: grade 0, negative; 1+, weakly positive; 2+, moderately positive; or 3+, strongly positive. The two scores were then multiplied to calculate the final score (range from 0 to 9).
Values are presented as the mean ± standard error mean based on results obtained from at least three independent experiments. All data were analyzed by the StatView version 5 statistical software (SAS Institute, Inc., Cary, NC). The relationship between two variables and the numerical values were analyzed using the two-tailed unpaired Student’s t-test. Chi-square test was used for analyzing the correlation between clinicopathologic parameters and CYP1B1 expression. A p-value of less than 0.05 was considered to be statistically significant.
All samples obtained with informed consent according to US federal law were purchased commercially and at the laboratory in San Francisco, specimens and de-identified patient data were used for analysis. This study was approved by the Clinical Research Office of the San Francisco Veterans Affairs Medical Center and the Institutional Review Board (study number 10–03240) of the University of California at San Francisco.
CYP1B1 is up-regulated in RCC cell lines and RCC tissues
To determine CYP1B1 protein expression, Western analysis was performed using normal kidney tissue, Caki-1, Caki-2, A498, ACHN, 786-O, and 769-P cells. CYP1B1 protein expression was significantly up-regulated in most RCC cell lines compared with normal kidney (Fig. 1a). Next, RCC TMA consisting of 96 cases of primary RCC was immunostained with CYP1B1 antibody. While CYP1B1 expression was weak or not detected in most of the normal kidney tissues, the majority of RCC samples showed moderate or strong CYP1B1 immunoreactivity with an average staining score of 1.84 ± 0.10 (versus 1.16 ± 0.21 in normal kidney tissues) (p < 0.01; Fig. 1b).
The clinicopathological status of the 96 RCC samples is shown in Table 1. RCC were classified into 2 groups according to CYP1B1 staining score; High (2–3) and Low (0–1). Increased expression of CYP1B1 was correlated with high grade or high stage disease, with a trend toward statistical significance (P = 0.0875, P = 0.0692, respectively). However, there were no significant differences for age, gender, histological type, lymph node and systematic metastasis between the groups.
Attenuation of CYP1B1 expression inhibits renal cancer cell viability, migration, and invasion
CYP1B1 levels were increased in RCC and thus, the functional significance of this gene were explored. This was done by examining whether reduction of CYP1B1 expression has an effect on cell viability, migration, or invasion properties of RCC cell lines. After transfection with two different CYP1B1 siRNAs, significant reduction of CYP1B1 mRNA and proteins were detected in both Caki-1 and 769-P cells (Fig. 2a). Cell proliferation (Fig. 2b) and wound healing assays (Fig. 2c) demonstrated significant inhibition in CYP1B1 transfectants in both Caki-1 and 769-P cells compared to the control siRNA transfectants. Matrigel invasion assay also showed that the number of invaded cells was significantly decreased in CYP1B1 transfectants compared with their control counterparts after 24 h (Fig. 2d). These results suggest that CYP1B1 plays an important role in RCC progression.
CYP1B1 influences cellular apoptosis in RCC cells
Since attenuation of CYP1B1 expression significantly inhibited cell growth and progression of RCC cells, we hypothesized that its expression may induce apoptosis. Apoptosis was examined in control siRNA-treated cells or CYP1B1 siRNA-treated cells. Results of apoptosis assay in Caki-1 and 769-P cells done 48 h post-transfection are shown in Fig. 3. In Caki-1 cells, the apoptotic and early apoptotic fractions (upper right and lower right in the quadrant images, respectively) were significantly greater in CYP1B1 -depleted cells (2.88 % + 5.23 %) compared to control cells (0.33 % + 1.36 %) (p < 0.05; Fig. 3a). In contrast, these differences were not seen in 769-P cells (Fig. 3b).
CYP1B1 regulates the expression of CDC20 and DAPK1 in RCC cell lines
To further understand the precise mechanism of the anti-tumor effect on RCC cells induced by CYP1B1 knockdown, we looked for changes in gene expression in CYP1B1 siRNA-treated and NS siRNA-treated control cells using the Human Cancer Pathway RT2 ProfilerTM PCR Array and the Human Apoptosis RT2 ProfilerTM PCR Array. From the cancer pathway-related genes analyzed, eight were down-regulated ~ 2- to 5- fold after CYP1B1 depletion and among them, CDC20 was the greatest (Table 2). To verify array data, we performed real-time PCR using Taqman probes. Consistently, a robust decrease of CDC20 mRNA expression was detected in CYP1B1 siRNA-treated Caki-1 (6.1- fold) and 769-P (2.2- fold) (Fig. 4a). However, a significant decrease of DKC1 (Dyskeratosis congenita1), OCLN (Occuludin), and MIK67 (Antigen identified by monoclonal antibody Ki-67) expression were seen in only Caki-1 cells (Fig. 4a). We also examined the protein expression of CDC20 to identify the association with their mRNA expression levels. As shown by Western blotting, CDC20 protein levels were significantly decreased in CYP1B1 siRNA-treated cells compared with NS siRNA-treated control cells (Fig. 4c). These results indicate that CDC20 is potentially regulated by CYP1B1 in RCC.
Table 2 displays genes that were up-regulated and down-regulated 2 or greater due to CYP1B1 knockdown in apoptosis-related gene array analyses. Among 4 up-regulated genes, only DAPK1 was found to be significantly increased in both Caki-1 (1.6- fold) and 769-P (1.3- fold) cells by real-time PCR (Fig. 4b). As shown in Fig. 4c, an increase in DAPK1 protein was also found in both CYP1B1 siRNA-treated RCC cells. Though TP73 (Tumor protein p73) was observed to be most increased by array analyses, its up-regulation was not confirmed in Caki-1 by real-time PCR (Fig. 4b). Among 15 down-regulated genes, BIRC5 (Baculoviral IAP repeat containing 5) was observed to be the lowest. However, a significant decrease of BIRC5 mRNA expression was detected only in CYP1B1 siRNA-treated Caki-1 (Fig. 4b). Thus, these data indicate that the attenuation of CYP1B1 expression caused induction of DAPK1 and could lead to apoptosis in RCC.
CYP1B1 expression is associated with CDC20 and DAPK1 expression in clinical samples
To validate the correlation between CYP1B1 expression and CDC20 or DAPK1 expression, we performed immunohistochemical studies using clinical samples. Case specimens were grouped as Low or High CYP1B1 expression categories as previously determined (Table 1). Representative CDC20 and DAPK1 immunostaining pattern are shown in Fig. 5a. RCC samples showed a higher level of CDC20 expression in comparison with normal kidney specimens (Fig. 5b). In addition, the High CYP1B1 group in RCC showed higher CDC20 expression than Low CYP1B1 group, though the difference did not reach statistical significance (Fig. 5a, b). As for DAPK1, strong cytoplasmic staining was more common in the normal kidney samples than in the RCC tissues (Fig. 5a, b). Moreover, RCC samples with Low CYP1B1 expression had a significantly higher level of DAPK1 expression as compared to those with High CYP1B1 expression (p < 0.01; Fig. 5a, b).
It is recognized that CYP1B1 is up-regulated and plays an essential role in carcinogenesis in several types of cancers [9–11]. CYP1B1 catalyzes the hydroxylation of estrogens to 4-hydroxy-estrogens as well as convert polycyclic aromatic hydrocarbons to mutagenic forms that play a causative role in the carcinogenesis process [8, 29]. When 4-hydroxy-estradiol was injected into animals, tumors were formed in the kidneys [30, 31]. Therefore, it is not surprising that CYP1B1 is actively involved in RCC. Here, we investigated the effects of CYP1B1 in renal carcinogenesis by performing functional assays and gene microarray analyses.
CYP1B1 is expressed at high levels and its enzyme activity is significantly elevated in RCC [11–13]. In addition, its overexpression contributes to the decreased sensitivity to anticancer drugs, such as paclitaxel and docetaxel [32, 33]. Recently, we demonstrated that CYP1B1 up-regulation could induce docetaxel resistance in RCC cells . In this report, we confirmed that CYP1B1 protein expression was up-regulated in most RCC cell lines. Likewise, levels of immunoreactive protein of CYP1B1 were found to be significantly higher in clinical RCC tissues than normal kidney tissues. Next, we examined the association between CYP1B1 expression and clinicopathological findings in RCC samples. Importantly, CYP1B1 over-expression was correlated with high grade and advanced stage, though it did not reach statistical significance. Thus, CYP1B1 is demonstrated to have a potential prognostic and diagnostic value in RCC.
Attenuation of CYP1B1 expression has been found to decrease the proliferative activity, cell migration capability and invasiveness of endometrial and head and neck cancer cell lines [9, 10]. In our present study, CYP1B1 depletion also strongly inhibited these activities in RCC cell lines. Aberration on the cell cycle is a well-known mechanism underlying uncontrolled cellular proliferation, which leads to tumor formation. The spindle assembly checkpoint plays important roles in mitosis by preventing chromosome missegregation . CDC20, known as a key component of the spindle assembly checkpoint proteins, is shown to drive mitosis from metaphase to anaphase by activating a subunit of APC/C . Previous studies have demonstrated that knockdown of CDC20 expression could lead to decreased cellular proliferation in tumor cells [35, 36], and its overexpression is associated with poor prognosis in many human cancers [17–21]. In our observation from immunohistochemistry, CDC20 was significantly up-regulated in RCC tissue in comparison with normal kidney tissues. In addition, we found that CYP1B1 knockdown in RCC cell lines leads to altered expression of CDC20. Furthermore, there was a trend that CDC20 expression was at a higher level in the High CYP1B1 group as compared to the Low CYP1B1 group. Interestingly, the expression of Ki-67, an important proliferative biomarker reflecting oncologic outcomes including RCC [37, 38], was reported to be correlated with CDC20 expression . We found that MKI67 mRNA expression was also down-regulated in CYP1B1 siRNA-treated RCC cells. Considering these findings, we believe that CDC20 is closely associated with RCC tumorigenesis and potentially regulated by CYP1B1.
Defects in apoptotic pathways promote tumor initiation, progression and metastasis . Apoptosis is hence considered to be a major causative factor in tumorigenesis. In this study, we clearly demonstrated that down-regulation of CYP1B1 induced significantly increased levels of apoptosis in Caki-1 cells. Also, we sought to determine the genes associated with down-regulated CYP1B1-mediated apoptosis and observed overexpression of DAPK1 after CYP1B1 depletion in RCC cell lines based on gene microarray analyses. Several studies have shown that DAPK1 is a tumor-suppressor gene and down-regulated in many types of cancers [25–28]. In addition, an in vitro experiment revealed that DAPK1 enzyme activity was reduced in RCC . We found that levels of DAPK1 protein were significantly lower in RCC than normal tissue, and there was an inverse correlation between protein levels of CYP1B1 and DAPK1. These results indicate that DAPK1 may be regulated by CYP1B1 and the functional role of DAPK1 in RCC is that of a tumor suppressor.
DAPK1 leads to p53 activation and apoptosis through DAPK1 phosphorylation of tetrametric p53 on Ser20, which is located within the transactivation domain that binds p300 . In addition, DAPK1 indirectly induces p53 activation by activating the ARF tumor suppressor, which inhibits MDM2, an inhibitor of p53 . Thus, the tumor suppressive mechanism of DAPK1 is tightly involved in p53-dependent apoptosis. Also, it is well known that mutations in p53 lose wild-type p53 tumor suppressor activity and gain oncogenic ability. We hypothesize that this may explain why restoration of DAPK1 through CYP1B1 reduction did not induce an apoptotic effect in 769-P cells since they have a p53 mutation.
The expression of DAPK1 is thought to be down-regulated by DNA promoter methylation and associated with poor prognosis in a variety of tumors [25–28]. Promoter CpG hypermethylation appears to be a common mechanism underlying gene silencing and many tumor-related genes are also silenced by DNA hypermethylation in RCC [42, 43]. The correlation between methylation status of DAPK1 and tumor progression in RCC has been demonstrated [44, 45], although other studies have shown that its expression may not be regulated by DNA promoter methylation . Further research is needed to clarify the precise mechanism of DAPK1 restoration through the depletion of CYP1B1.
In summary, our study demonstrates that CYP1B1 depletion reduces tumorigenesis in RCC cell lines. In clinical RCC samples, CYP1B1 expression seemed to be associated with unfavorable prognostic factors. CYP1B1 may promote RCC development by inducing CDC20 expression and inhibiting apoptosis through the down-regulation of DAPK1. In view of these results, we conclude that CYP1B1 may be an attractive target for designing improved diagnostic and therapeutic strategies for RCC.
the cell division cycle 20 homolog
cytochrome P450 1B1
the death-associated protein kinase-1
renal cell carcinoma
Siegel R, Ma J, Zou Z, Jemal A. Cancer statistics, 2014. CA Cancer J Clin. 2014;64:9–29.
Cohen HT, McGovern FJ. Renal-cell carcinoma. N Engl J Med. 2005;353:2477–90.
De Mulder PH, van Herpen CM, Mulders PA. Current treatment of renal cell carcinoma. Annals oncology. 2004;15 Suppl 4:iv319–28.
Rini BI, Campbell SC, Escudier B. Renal cell carcinoma. Lancet. 2009;373:1119–32.
Gonzalez FJ, Gelboin HV. Role of human cytochromes P450 in the metabolic activation of chemical carcinogens and toxins. Drug Metab Rev. 1994;26:165–83.
Guengerich FP, Shimada T. Oxidation of toxic and carcinogenic chemicals by human cytochrome P-450 enzymes. Chem Res Toxicol. 1991;4:391–407.
Hayes CL, Spink DC, Spink BC, Cao JQ, Walker NJ, Sutter TR. 17 beta-estradiol hydroxylation catalyzed by human cytochrome P450 1B1. Proc Natl Acad Sci U S A. 1996;93:9776–81.
Zhang Y, Gaikwad NW, Olson K, Zahid M, Cavalieri EL, Rogan EG. Cytochrome P450 isoforms catalyze formation of catechol estrogen quinones that react wth DNA. Metabolism. 2007;56:887–94.
Saini S, Hirata H, Majid S, Dahiya R. Functional significance of cytochrome P450 1B1 in endometrial carcinogenesis. Cancer Res. 2009;69:7038–45.
Shatalova EG, Klein-Szanto AJ, Devarajan K, Cukierman E, Clapper ML. Estrogen and cytochrome P450 1B1 contribute to both early- and late-stage head and neck carcinogenesis. Cancer Prevent Res (Phila). 2011;4:107–15.
Murray GI, Taylor MC, McFadyen MC, McKay JA, Greenlee WF, Burke MD, et al. Tumor-specific expression of cytochrome P450 CYP1B1. Cancer Res. 1997;57:3026–31.
Chang I, Mitsui Y, Fukuhara S, Gill A, Wong DK, Yamamura S, et al. Loss of miR-200c up-regulates CYP1B1 and confers docetaxel resistance in renal cell carcinoma. Oncotarget. 2015;6:7774–87.
McFadyen MC, Melvin WT, Murray GI. Cytochrome P450 CYP1B1 activity in renal cell carcinoma. Br J Cancer. 2004;91:966–71.
Weinstein J, Jacobsen FW, Hsu-Chen J, Wu T, Baum LG. A novel mammalian protein, p55CDC, present in dividing cells is associated with protein kinase activity and has homology to the Saccharomyces cerevisiae cell division cycle proteins Cdc20 and Cdc4. Mol Cell Biol. 1994;14:3350–63.
Rajagopalan H, Lengauer C. Aneuploidy and cancer. Nature. 2004;432:338–41.
Mondal G, Sengupta S, Panda CK, Gollin SM, Saunders WS, Roychoudhury S. Overexpression of Cdc20 leads to impairment of the spindle assembly checkpoint and aneuploidization in oral cancer. Carcinogenesis. 2007;28:81–92.
Kato T, Daigo Y, Aragaki M, Ishikawa K, Sato M, Kaji M. Overexpression of CDC20 predicts poor prognosis in primary non-small cell lung cancer patients. J Surg Oncol. 2012;106:423–30.
Wu WJ, Hu KS, Wang DS, Zeng ZL, Zhang DS, Chen DL, et al. CDC20 overexpression predicts a poor prognosis for patients with colorectal cancer. J Transl Med. 2013;11:142.
Choi JW, Kim Y, Lee JH, Kim YS. High expression of spindle assembly checkpoint proteins CDC20 and MAD2 is associated with poor prognosis in urothelial bladder cancer. Virchows Arch. 2013;463:681–7.
Ding ZY, Wu HR, Zhang JM, Huang GR, Ji DD. Expression characteristics of CDC20 in gastric cancer and its correlation with poor prognosis. Int J Clin Exp Pathol. 2014;7:722–7.
Karra H, Repo H, Ahonen I, Löyttyniemi E, Pitkänen R, Lintunen M, et al. Cdc20 and securin overexpression predict short-term breast cancer survival. Br J Cancer. 2014;110:2905–13.
Rudin CM, Thompson CB. Apoptosis and disease: regulation and clinical relevance of programmed cell death. Annu Rev Med. 1997;48:267–81.
Raveh T, Droguett G, Horwitz MS, DePinho RA, Kimchi A. DAP kinase activates a p19ARF/p53-mediated apoptotic checkpoint to suppress oncogenic transformation. Nat Cell Biol. 2001;3:1–7.
Craig AL, Chrystal JA, Fraser JA, Sphyris N, Lin Y, Harrison BJ, et al. The MDM2 ubiquitination signal in the DNA-binding domain of p53 forms a docking site for calcium kinase superfamily members. Mol Cell Biol. 2007;27:3542–55.
Gade P, Singh AK, Roy SK, Reddy SP, Kalvakolanu DV. Down-regulation of the transcriptional mediator subunit Med1 contributes to the loss of expression of metastasis-associated dapk1 in human cancers and cancer cells. Int J Cancer. 2009;125:1566–74.
Ye M, Li D, Zhou F, Guo Q, Xia B. Epigenetic regulation of death-associated protein kinase expression in primary garstic cancers from Chinese patients. Eur J Cancer Prev. 2012;21:241–6.
Kristensen LS, Asmar F, Dimopoulos K, Nygaard MK, Aslan D, Hansen JW, et al. Hypermethylation of DAPK1 is an independent prognostic factor predicting survival in diffuse large B-cell lymphoma. Oncotarget. 2014;5:9798–810.
Kawaguchi K, Oda Y, Saito T, Yamamoto H, Takahira T, Tamiya S, et al. Death-associated protein kinase (DAP kinase) alteration in soft tissue leiomyosarcoma: Promoter methylation or homozygous deletion is associated with a loss of DAP kinase expression. Hum Patohl. 2004;35:1266–71.
Gajjar K, Martin-Hirsch PL, Martin FL. CYP1B1 and hormone-induced cancer. Cancer Lett. 2012;324:13–30.
Li JJ, Li SA. Estrogen carcinogenesis in Syrian hamster tissues: role of metabolism. Fed Proc. 1987;46:1858–63.
Liehr JG, Fang WF, Sirbasku DA, Ari-Ulubelen A. Carcinogenicity of catechol estrogens in Syrian hamsters. J Steroid Biochem. 1986;24:353–6.
Martinez VG, O’Connor R, Liang Y, Clynes M. CYP1B1 expression is induced by docetaxel: effect on cell viability and drug resistance. Br J Cancer. 2008;98:564–70.
Zhu Z, Mu Y, Qi C, Wang J, Xi G, Guo J, et al. CYP1B1 enhances the resistance of epithelial ovarian cancer cells to paclitaxel in vivo and in vitro. Int Mol Med. 2015;35:340–8.
Jallepalli PV, Lengaucr C. Chromosome segmentation and cancer: cutting through the mystery. Nat Rev Cancer. 2001;1:109–17.
Kidokoro T, Tanikawa C, Fukukawa Y, Katagiri T, Nakamura Y, Matsuda K. CDC20, a potential cancer therapeutic target, is negatively regulated by p53. Oncogene. 2008;27:1562–72.
Taniguchi K, Momiyama N, Ueda M, Matsuyama R, Mori R, Fujii Y, et al. Targeting of CDC20 via small interfering RNA causes enhancement of the cytotoxicity of chemoradiation. Anticancer Res. 2008;28:1559–63.
Gayed BA, Youssef RF, Bagrodia A, Kapur P, Darwish OM, Krabbe LM, et al. Prognostic role of cell cycle and proliferative biomarkers in patients with clear cell renal cell carcinoma. J Urol. 2013;190:1662–7.
Gayed BA, Youssef RF, Baqrodia A, Darwish OM, Kapur P, Sagalowsky A, et al. Ki67 is and independent predictor of oncological outcomes in patients with localized clear-cell renal cell carcinoma. BJU Int. 2014;113:668–73.
Lowe SW, Lin AW. Apoptosis in cancer. Carcinogenesis. 2000;21:485–95.
Wethkamp N, Ramp U, Geddert H, Schulz WA, Florl AR, Suschek CV, et al. Expression of death-associated protein kinase during tumour progression of human renal cell carcinomas: hypermethylation-independent mechanisms of inactivation. Eur J Cancer. 2006;42:264–74.
Craig AL, Chrystal JA, Fraser JA, Sphyris N, Lin Y, Harrison BJ, et al. The MDM2 ubiquitination signal in the DNA-binding domain of p53 forms a docking site for calcium calmodulin kinase superfamily members. Mol Cell Biol. 2007;27:3542–55.
Arai E, Kanai Y. Genetic and epigenetic alterations during renal carcinogenesis. Int J Clin Expo Pathol. 2010;4:58–73.
Hu CY, Mohtat D, Yu Y, Shenoy N, Bhattacharta S, Izquierdo MC, et al. Kidney cancer is characterized by aberrant methylation of tissue-specific enhancers that are prognostic for overall survival. Clin Cancer Res. 2014;20:4349–60.
Christoph F, Kempkensteffen C, Weikert S, Köllermann J, Krause H, Miller K, et al. Methylation of tumor suppressor gene APAF-1 and DAPK-1 and in vitro effects of demethylating agents in bladder and kidney cancer. Br J Cancer. 2006;95:1701–7.
Ahmad ST, Arjumand W, Seth A, Saini AK, Sultana S. Methylation of the APAF-1 and DAPK1 promoter region correlates with progression of renal cell carcinoma in North Indian population. Tumour Biol. 2012;33:395–402.
We thank Dr. Roger Erickson for his support and assistance with the preparation of the manuscript.
The authors declare that they have no competing interests.
YM, RD, YT designed the experiments. YM, IC, SF, HH, SY, VS, GD, DKW, SM performed the experiments. MH, NA HY analyzed data. YM, HS, RD, YT wrote the manuscript. All authors read and approved the final manuscript.
Yozo Mitsui and Inik Chang contributed equally to this work.