Background
Breast cancer is the most common malignancy and leading cause of cancer-related deaths in females worldwide[
1]. Several lines of evidence showed that multiple proteins are dysregulated in primary tumors and are associated with the development and progression of breast cancers[
2‐
4]. Therefore, understanding the roles and molecular mechanisms of these proteins may provide new insights into the physiology and pathology of cancer and enable the development of novel and effective anticancer therapeutics.
FOXO1 is a member of the forkhead box-containing O subfamily (FOXO) family of transcription factors, which play vital roles in a variety of biological processes, including cell cycle arrest, cell death, apoptosis, stress response, cellular differentiation and metabolism[
5,
6]. For instance, ectopically expressing FOXO1 transcriptionally upregulates cell-cycle inhibitors, such as
p21
Cip1
and
p27
Kip1
, and downregulate cell-cycle regulators, such as
cyclin D1 and
cyclin D2, which result in G1/S arrest of cells[
7‐
9]. Activation of FOXO1 could induce apoptosis through inducing expression of pro-apoptotic proteins, such as Puma, Bim, TRAIL and Fas ligand (FasL)[
10‐
13]. FOXO1 has also been implicated in DNA repair mechanisms through upregulation of
GADD45a by directly binding to the
GADD45 promoter[
14]. Conversely, FOXO1 expression is found to be downregulated in multiple human cancers, including prostate cancer, endometrial carcinoma, glioblastoma and breast cancer[
15‐
18]. Therefore, FOXO1 is considered to be as a putative tumor suppressor, and better understanding of the mechanisms that regulate FOXO1 activity may provide clues of novel targets for therapeutic intervention.
Acylglycerol kinase (AGK) is found to be abundantly expressed in the heart, muscle, kidney and brain[
19]. By acting as a lipid kinase, it catalyzes the phosphorylation of acylglycerols to generate lysophosphatidic acid (LPA)[
19‐
22], which is a potent lipid mediator that regulates a number of biological processes[
23‐
25]. Recently, AGK is reported to be overexpressed in prostate cancer and esophageal squamous cell carcinoma (ESCC)[
19,
26,
27]. Bektas et al. reported that AGK was upregulated in prostate, uterine, cervical and stomach cancers, and induced proliferation and migration in prostate cancer cells[
19]. Chen et al. showed that overexpression of AGK promoted stem cell-like phenotypes in human ESCC both
in vivo and
in vitro and was correlated with progression and poor prognosis in ESCC[
26]. In addition, Nouh et al. found that AGK expression was significantly correlated with primary Gleason grade of prostate cancer foci and prostate capsular invasion[
27]. These findings have provided substantial evidence to show that AGK might contribute to the progression and development of cancer. However, the clinical significance and biological role of AGK in human breast cancer remain unclearly.
In this study, we found that AGK was markedly overexpressed in breast cancer cells and clinical tissue samples. Overexpressing AGK dramatically promoted the proliferation and tumorigenicity of breast cancer cell both in vitro and in vivo, whereas silencing AGK had the converse effect. Taken together, our findings suggest that AGK functions as an oncoprotein during breast cancer progression.
Discussion
The key findings presented in this study suggest that AGK is markedly upregulated in breast cancer cells and its ectopic expression promotes the proliferation and tumorigenicity of breast cancer cells both in vitro and in vivo. The mechanistic basis for the pro-proliferative effect of AGK might be linked to activation of the AKT signaling pathway and subsequent inhibition of FOXO1 transcriptional activity, which would lead to altered expression of cell-cycle related genes, including the downregulation of CDK inhibitors, p21
Cip1
p27
Kip1
and upregulation of cyclin D1. Our results have provided new insights into the role of AGK in the progression of human breast cancer, indicating that targeting AGK may offer a novel therapeutic strategy in the treatment of patients with breast cancer.
Although AGK has been shown to be overexpressed in several types of cancer and has been associated with cancer progression and development[
19,
26,
27], its clinical significance and biological role in human breast cancer remains unclear. In this study, we found that AGK expression was upregulated in a large cohort of human breast cancer tissues, and was significantly correlated with the clinicopathologic characteristics of breast cancer, including clinical stage and TNM classification. Furthermore, survival analyses showed that patients with higher levels of AGK expression had shorter overall survival time compared to those with lower AGK expression, suggesting that AGK may represent a novel predictor for prognosis and survival in breast cancer. Several reports have also provided evidence that AGK is involved in the survival and motility of malignant phenotypes of cancer cells and the development of cancer stem cells[
19,
26]. In agreement with these reports, we found that AGK was strongly expressed in highly proliferative lesions of human breast cancer, as indicated by a significant correlation between AGK and Ki-67 expression (
P < 0.001). Combined with our observation that upregulation of AGK was implicated in the proliferation and tumorigenicity of breast cancer cells both
in vivo and
in vitro. Therefore, our results support the proposal that AGK is a proliferation-promoting and oncogenic protein in breast cancer cells.
It has been established that FOXO1 functions as a tumor suppressor. Consistently, FOXO1 expression is reported to be downregulated in multiple cancer types, such as breast cancer, prostate cancer, glioblastoma and endometrial carcinoma[
15‐
18]. FOXO1 has been demonstrated to be involved in multiple biological processes through transcriptional regulation of their downstream efforts, such as CDK inhibitors
p21
Cip1
,
p27
Kip1
and
p57
kip2
, cell-cycle related genes
cyclin D1/D2, and pro-apoptotic proteins, such as Puma, Bim, TRAIL and FasL[
7‐
13,
28,
29]. We showed that depletion of FOXO1 restored the growth rate of
AGK-silenced breast cancer cells, indicating that FOXO1 plays a critical role in the pro-proliferative effect of AGK on breast cancer cells.
By showing that AGK overexpression decreased the transactivation of FOXO1 and its downstream targets, we hypothesized that FOXO1 was involved in AGK-mediated proliferative mechanisms. It has been reported that phosphorylation of FOXO1 (Ser
256) by AKT results in downregulation of FOXO1 transactivity
via ubiquitin-proteasome-mediated degradation[
30‐
32]. We observed similar effects, in that the levels of phospho-AKT and phospho-FOXO1 were increased in AGK-overexpressing cells and decreased in AGK-silenced cells. This suggested that the mechanism underlying AGK-mediated FOXO1 downregulation might be through activation of AKT. AKT is a major downstream effector of epidermal growth factor receptor EGFR and the non-receptor tyrosine kinase JAK2[
33,
34]. Interestingly, it has been reported that AGK overexpression promotes aggressiveness in prostate cancer cells through activation of EGFR, and that upregulation of AGK promotes the stem cell-like phenotype in ESCC by sustaining JAK2 activity[
15,
22]. Meanwhile, we also observed that the phosphorylation level of GSK-3β, a downstream target protein of Akt, increased in the AGK-overexpressing cells and decreased in the AGK silenced cells. It has been reported that inactivation of GSK3β indicated by increased p-GSK3β was found in approximately half of the invasive mammary carcinomas, and significantly correlated with a worse clinical outcome[
35]. Phosphorylation mediated suppression of GSK3β promotes breast tumor initiation and metastasis, and reduced phosphorylation of GSK3β efficiently inhibit cancer stem cell-like phenotypes in breast cancer[
36,
37]. Therefore, the role of AGK-modulation of GSK-3β activity in breast cancer cells is currently under investigation by our group.
Conclusions
In summary, our results have demonstrated that AGK plays an important role in human breast cancer progression and have provided insights into the underlying mechanisms. Establishing the precise role played by AGK in breast cancer progression will not only advance our understanding of the biology of breast cancer but may offer a mechanism for a novel therapeutic strategy via suppression of AGK expression in breast cancer cells. Furthermore, our results suggest a potential role for AGK as a clinical predictor of disease progression, prognosis and survival in patients with breast cancer. Evaluating the molecular diagnostic ability of AGK in breast cancer is merited.
Methods
Cell lines
Primary normal breast epithelial cells (NBECs) were established as previously described[
38]. Breast cancer cell lines, including MCF-7, BT-549, ZR-75-1, SKBR3, MDA-MB-468, MDA-MB-435, Bcap37, MDA-MB-415, MDA-MB-361, T47D, MDA-MB-231 and ZR-75-30 were cultured in DMEM medium (Gibco, Grand Island, NY) supplemented with 10% FBS (HyClone, Logan, UT).
This study was conducted on a total of 203 paraffin-embedded, archived breast cancer samples, which had been histopathologically and clinically diagnosed at the Sun Yat-sen University Cancer Center from 1998 to 2006. Clinical and clinicopathological classification and stage were determined according to American Joint Committee on Cancer (AJCC) criteria[
39] and summarized in Additional file
2: Table S1. Ethics approval and prior patient consent had been obtained from the Institutional Research Ethics Committee for the use of the clinical specimens for research purposes.
Vectors and retroviral infection
The human AGK gene was PCR-amplified from cDNA and cloned into the pSin-EF2 lentiviral vector, and shRNAs targeting AGK were cloned into the pSuper-retro viral vector, as previously described[
26]. Retroviral production and infection were performed as previously described[
40]. Stable cell lines expressing AGK or AGK shRNAs were selected for 10 days with 0.5 μg/ml puromycin. The reporter plasmid for detecting the transcriptional activity of FOXO1 was generated as described previously[
41].
Immunohistochemistry (IHC)
Immunohistochemistry (IHC) and quantification of AGK expression were performed by two independent pathologists, as previously described[
26]. Both sets of results were combined to give a mean score for further comparative evaluations. Briefly, the IHC score, or staining index (SI), was determined by combining the score for the percentage of positively-stained tumor cells with the grade of the staining intensity. The percentages of positively-stained tumor cells were scored as follows: 0, no positive tumor cells; 1, <10%; 2, 10%–35%; 3, 35%–75%; 4, >75%. The staining intensities were graded as follows: 1, no staining; 2, weak staining (light yellow); 3, moderate staining (yellow–brown); 4, strong staining (brown). We used this method to evaluate AGK expression in benign breast epithelia and malignant lesions. The possible scores were 0, 2, 3, 4, 6, 8, 9, 12 and 16; SI ≥8 was defined as high expression and SI <8 was defined as low expression.
Western blotting
Western blotting was carried out according to standard methods as described previously[
38], by using anti-AGK antibody (Epitomics, Burlingame, CA), anti-p21
Cip1, anti-p27
Kip1, anti-cyclin D1, anti-Rb, anti-phosphorylated-Rb, anti-AKT, anti-phosphorylated-AKT, anti-FOXO1, anti-phosphorylated-FOXO1 (Ser256) (Cell Signaling, Danvers, MA). The membranes were stripped and re-probed with an anti-GAPDH antibody (Sigma, Saint Louis, MI) as a loading control.
MTT cell viability assay
Cells were seeded in 96-well plates at a density of 2 × 103 cells/well. At each time point, cells were stained with 100 μl sterile MTT dye (0.5 mg/ml, Sigma) for 4 hours at 37°C, followed by removal of the culture medium and addition of 100 μl of dimethyl sulphoxide (Sigma). The absorbance was measured at 570 nm, with 655 nm as the reference wavelength. The absorbance at day 1–5 was normalized to the absorbance at day 0 used as control (100%). Each experiment was performed in triplicates.
Cells were plated in 6-well plated (5 × 102 cells) and cultured for 10 days. The colonies were stained with 1% crystal violet for 30 seconds after fixation with 4% formaldehyde for 5 minutes. Colonies were counted and the resultes were shown as the fold change compared to vector control cells.
Anchorage-independent growth ability assay
Five hundred cells were trypsinized and suspended in 2 ml complete medium plus 0.3% agar (Sigma, Saint Louis, MI). The agar-cell mixture was plated on top of a bottom layer with 1% agar completed medium mixture. About 10 days, viable colonies that were larger than 0.1 mm were counted. The experiment was carried out for each cell line in triplicates.
Bromodeoxyuridine (BrdU) labeling and immunofluorescence
Cells (5 × 104) were plated on coverslips. After 24 hours, cells were incubated with BrdU for 1 h and stained with anti-BrdU antibody (Upstate, Billerica, MA) according to the manufacturer’s instruction. After washing three times with PBS containing 1% Triton X-100, the cells were treated with anti-mouse TRITC fluorescent conjugated secondary antibodies to visualize anti-BrdU labeled cells. BrdU positive cells were counted under a laser scanning microscope (Axioskop 2 plus; Carl Zeiss Co. Ltd.) in ten random chosen fields from three independent samples. Percentage of BrdU positive cells was then calculated, and the results are presented as the mean ± SD.
Flow cytometry
Cells were harvested, washed with cold PBS, and processed for cell cycle analysis by using flow cytometry. Briefly, the cells were fixed in 75% ethanol and stored at -20°C overnight for later analysis. The fixed cells were centrifuged at 1,000 rpm for 5 min and washed with cold PBS twice. RNase A (20 μg/ml final concentration) and propidium iodide staining solution (50 μg/ml final concentration) were added to the cells and incubated for 30 minutes at 37°C in the dark. Twenty thousand cells were analyzed by using a CytomicsTM FC 500 instrument (Beckman Coulter, USA) equipped with CXP software. Modfit LT 3.1 trial cell cycle analysis software was used to determine the percentage of cells in the different phases of the cell cycle.
Xenografted tumor model
Female BALB/c nude mice (5 ~ 6 weeks of age, 18 ~ 20 g) were purchased from the Slac-Jingda Laboratory Animal (Hunan, China), and were housed in barrier facilities on a 12-hour light/dark cycle. All experimental procedures were approved by the Institutional Animal Care and Use Committee of Sun Yat-sen University. The BALB/c nude mice were randomly divided into 4 groups (n = 5/group). A 0.72 mg E2 60-day release pellet (Innovative Research of America) was implanted subcutaneously on the dorsal side of each mouse 1 day before tumor cell implantation to support the growth of the estrogen-dependent MCF-7 cell derived tumors. For tumor cell implantation, MCF-7-AGK or MCF-7-AGK-RNAi or their respective control cells (2 × 106) in 200 μl of the mixture were injected into the mammary fat pads of mice. Tumors were examined twice weekly; length, width, and thickness measurements were obtained with calipers and tumor volumes were calculated. On day 26, animals were euthanized, and tumors were excised and weighed.
Statistical analysis
Statistical analyses were performed using the SPSS version 13.0 statistical software package. Statistical tests for data analysis included log rank test, χ 2 test, spearman-rank correlation test and Student’s 2-tailed t test. Multivariate statistical analysis was performed using a Cox regression model. Data represent mean ± SD. A P-value < 0.05 was considered statistically significant.
Acknowledgements
Supported by the Ministry of Science and Technology of China grant (No. 973-2014CB910604); The Natural Science Foundation of China (81272198, U1201121, 81171892); The Science and Technology Department of Guangdong Province, China (S2011020002757); Guangdong Provincial Department of Science and Technology (2010B031600219); Ministry of Education of China (20100171110080).
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
XW, CL and XZ were responsible for most experiments, data collection and analysis. AL and JZ were responsible for conducting the data analysis and Luciferase assay. XL was responsible for Real-time PCR assay. LS was responsible for experimental design, supervised the project and wrote the manuscript. All authors have read and approved the final manuscript.