Background
Osteosarcoma is the most frequent type of primary malignancy of bone and is also the second most common cause of cancer-related death in young adolescents and children [
1,
2]. In recent years, given the combination of chemotherapy and surgery as a primary treatment for osteosarcoma, the five-year survival rate has increased to approximately 65–70% for no distant metastasis disease. However, despite progress of in surgical techniques and chemotherapeutic drugs, the five-year survival rate remains poor because osteosarcoma is highly malignant with highly aggressive behavior and shows resistance to chemotherapies, resulting in a five-year survival rate for early lung metastatic patients of only 20% [
3,
4]. Over the last two or three decades there have been few developments in the treatment of osteosarcoma. Thus, novel effective therapies for osteosarcoma are still lacking and are urgently required.
Genomic imprinting is an epigenetic form of genetic regulation that results in monoallelic gene expression (maternal or paternal). It is widely accepted that genomic imprinting of tumor suppressor genes contributes to tumor susceptibility because mutation of only one allele is needed [
5]. Meanwhile, genomic imprinting, as a form of epigenetic and reversible gene control, can be altered by epigenetic drugs, which highlights a new potential treatment of cancer. Tumor-suppressing STF cDNA 3 (
TSSC3), also known as
PHLDA2,
IPL or
BWR1C, is located on chromosome 11p15, a tumor suppressor region, and is the first identified apoptosis-related imprinted gene [
6]. Our group revealed that
TSSC3 expression is downregulated in osteosarcoma cells, suggesting it as a promising therapeutic target for osteosarcoma [
7]. Furthermore, we demonstrated that
TSSC3 functions as a tumor suppressor gene, inducing apoptosis, and suppressing tumorigenesis and metastasis in osteosarcoma, and is associated with favorable overall survival (OS) [
4,
8‐
11]. Despite these findings, the underlying mechanism by which TSSC3 suppresses tumorigenesis and metastasis in osteosarcoma is incompletely understood.
Autophagy is an essential and highly conserved cellular process that targets selective proteins and abnormal organelles for lysosomal degradation [
12]. The role of autophagy in cancer is controversial. On the one hand, autophagy can function as a cytoprotective response to chemotherapeutic drugs in cancer cells and promotes metastasis through facilitating the mobility and anoikis resistance of tumor cells [
13‐
17]. On the other hand, numerous studies have demonstrated that autophagy can induce autophagic cell death, cell proliferation inhibition, and oncoproteins degradation to suppresses tumorigenesis, impede metastasis, and even enhance chemosensitivity [
18‐
23]. Recently, it has been revealed that autophagy could be regulated by imprinted genes in some cancer cells, such as ovarian cancer cells [
20] and bladder cancer cells [
24]. However, the connection between autophagy and imprinted gene in osteosarcoma is less explored. More recently,
PHLDA1, the homologous gene of
TSSC3 has been demonstrated to trigger autophagy [
25]. Moreover, the PI3K/Akt/mTOR signaling pathway, which is a classical pathway that modulates cell proliferation, apoptosis resistance, and tumorigenesis, is reported to be involved in the regulation of autophagy in several human tumors cells [
26,
27] and can be activated by the Src-family kinases [
28]. Our previous studies found that TSSC3 could inhibit the phosphorylation of both Src and Akt in osteosarcoma cells [
10,
11]; therefore, we speculated that autophagy might be involved in the anti-tumor effect of TSSC3.
In the present study, we investigated the correlation between TSSC3 and autophagy-related gene 5 (
ATG5) protein expression (one of the key proteins for the formation of autophagosomes) [
29] in human osteosarcoma tissues and their prognostic value in osteosarcoma. Furthermore, we observed enhanced autophagy flux in TSSC3 overexpressing osteosarcoma cells and demonstrated that TSSC3-induced impairment of tumorigenesis and metastasis in osteosarcoma cells was reduced when autophagy was inhibited using chloroquine (CQ) or under conditions of stable knockdown of
ATG5 by lentiviral vectors in vitro
and in vivo. In addition, the Src-mediated PI3K/Akt/mTOR signaling pathway was found to be involved in TSSC3-induced autophagy. To the best of our knowledge, no previous study has demonstrated the correlation between TSSC3 and autophagy. The findings of this study provide novel insights into the underlying mechanism by which TSSC3 suppresses tumorigenesis and metastasis in osteosarcoma by highlighting the role of autophagy.
Methods
Human specimens
Specimens were obtained from 58 patients with histopathologically confirmed osteosarcoma with no preoperative anticancer treatment from Southwest Hospital and Xinqiao Hospital, Third Military Medical University (TMMU), Chongqing, China between February 2011 and November 2015. The last follow-up time was November 2017. The clinicopathological features of the patients are listed in Table
1. Two certified pathologists classified all the specimens as high-grade osteosarcoma. Lung metastasis and local recurrence were diagnosed by both imaging and pathology. The surgical margins and stage were classified according to the Enneking system. Patients with primary osteosarcoma were classified as with or without developed distant metastasis at diagnosis or after surgery. Written informed consent for the experimental studies was obtained from the patients or their guardians. All experiments were approved by the Institutional Ethics Committee of TMMU.
Table 1
Correlations between TSSC3, ATG5, and P62 expression and the clinicopathological features of osteosarcoma
Age (years) | ≤ 20 | 33 | 9 | 24 | 0.550 | 17 | 16 | 0.830 | 21 | 12 | 0.1482 |
21–30 | 12 | 5 | 7 | | 7 | 5 | | 8 | 4 | |
≥ 31 | 13 | 3 | 10 | | 6 | 7 | | 12 | 1 | |
Gender | Male | 34 | 7 | 27 | 0.082 | 16 | 18 | 0.397 | 22 | 12 | 0.233 |
Female | 24 | 10 | 14 | | 14 | 10 | | 19 | 5 | |
Tumor location | Limbs | 51 | 16 | 35 | 0.352 | 27 | 24 | 0.617 | 35 | 16 | 0.352 |
Others | 7 | 1 | 6 | | 3 | 4 | | 6 | 1 | |
Stage | IIA | 14 | 6 | 8 | 0.335 | 7 | 7 | 0.226 | 9 | 5 | 0.816 |
IIB | 32 | 9 | 23 | | 18 | 14 | | 23 | 9 | |
III | 12 | 2 | 10 | | 5 | 7 | | 9 | 3 | |
Lung metastasis | Yes | 20 | 3 | 17 | 0.082 | 10 | 10 | 0.849 | 15 | 5 | 0.601 |
No | 38 | 14 | 24 | | 20 | 18 | | 26 | 12 | |
Local recurrence | Yes | 22 | 3 | 19 | 0.040* | 11 | 11 | 0.837 | 18 | 4 | 0.146 |
No | 36 | 14 | 22 | | 19 | 17 | | 23 | 13 | |
Histological type | Osteoblastic | 34 | 13 | 21 | 0.238 | 21 | 13 | 0.338 | 26 | 8 | 0.352 |
Fibroblastic | 3 | 0 | 3 | | 1 | 2 | | 3 | 0 | |
Chondroblastic | 18 | 4 | 14 | | 7 | 11 | | 10 | 8 | |
Others | 3 | 0 | 3 | | 1 | 2 | | 2 | 1 | |
Tumor size | < 8 cm | 41 | 13 | 28 | 0.533 | 24 | 17 | 0.107 | 28 | 13 | 0.533 |
≥ 8 cm | 17 | 4 | 13 | | 6 | 11 | | 13 | 4 | |
The details of the human benign bone and soft tissue tumor specimens are show in Additional file
1.
Cell culture
The human osteosarcoma cell line SaOS2 was obtained from Cellcook Biological Technology Co., Ltd. (Guangzhou China). The malignant transformed hFOB1.19 cell line (MTF cells) was produced in our laboratory, as previously reported [
7]. All the cells were maintained in high-glucose Dulbecco’s modified Eagle’s medium (DMEM, Hyclone, Logan, UT, USA) supplemented with 10% fetal bovine serum (FBS, BI, Kibbutz Beit Haemek, Israel) and 1% penicillin-streptomycin (Hyclone). All the cells were cultured at 37 °C in 5% CO2 and humidified atmosphere.
Cells were treated with pYEEI (100 mM, Src activator, Enzo Life Science, The Netherlands), BEZ235 (500 nM, PI3K inhibitor, MedChem Express, USA) or IGF-1 (100 ng/ml, Akt activator, R&D System, USA), chloroquine (CQ, 8 μM autophagy flux inhibitors, Sigma-Aldrich, USA) for 12 h, separately or in combination.
Transfection
The pLVX-mCMV-ZsGreen expressing lentiviral vector for TSSC3 and the control was synthesized and obtained from Chongqing Maobai Technology Co., Ltd. (Maobai, Chongqing, China) and the coding sequence of
TSSC3 was amplified using the primers 5′-CCGGAATTCGCCACCATGAAATCCCCCGACGAGGTGCTAC-3′ and 5′-CGCGGATCCTCACTTATCGTCGTCATCCTTGTA-3′. The short hairpin RNA (shRNA) in the pHBLV-U6-Puro lentiviral vector targeting
ATG5 and its control (scrambled) were purchased from Hanbio Biotechnology Co., Ltd. (Hanbio, Shanghai, China). MTF and SaOS2 cells were infected with the lentivirus vectors according to the manufacturer’s instructions and as previously described [
9,
10]. The shRNA target sequences are listed in Additional file
2: Table S1). The overexpression and knockdown function was verified using quantitative real-time PCR and western blotting analysis.
Cell proliferation, cell viability, and colony formation assays
For the cell proliferation assay, a cell light 5-ethynyl-2′-deoxyuridine (EdU) imaging kit (C0075S, Beyotime, Shanghai, China) was used according to the manufacturer’s instructions (Edu; 10 μM, 2 h, for MTF cells and 20 μM, 2 h, for SaOS2 cells). Cells were observed under an inverted phase contrast fluorescence microscope (Olympus, Tokyo, Japan). Cell counting kit-8 (CCK8, C0038, Beyotime) and colony formation assays were carried as described previously [
8,
30].
Transmission electronic microscopy
The transmission electron microscopy (TEM) assay was performed as previously described [
8]. Briefly, cells (1 × 10
6) were harvested after transfection with lentivirus overexpressing TSSC3 (overTSSC3) and its control (overCtrl), while fresh tissues were dissected, fixed with 4% glutaraldehyde in phosphate-buffered saline (PBS) at 4 °C overnight, post-fixed in 1% osmium tetroxide, dehydrated with ethanol, embedded in Epon, and then stained with aqueous uranyl acetate and lead citrate before being observed. Images were acquired using a HT7700 electron microscope (HITACHI, Tokyo, Japan). The number of autophagic vacuoles (AVs), including autophagosomes and autolysosomes, in each cell was quantified in 20 randomly selected cells of each group [
31].
Quantitative real-time PCR analysis and western blot analysis
Quantitative real-time PCR (qPCR) and western blotting analyses were performed as previously described [
32]. The primers used in this study are listed in Additional file
2: Table S2 and the details of western blotting are listed in Additional file
1.
Immunofluorescence, apoptotic analysis, histology, and immunohistochemistry
The assays were performed as previously described [
11,
32]. The details are shown in Additional file
1.
Wound healing and Transwell assays
Wound healing and Transwell assays were performed as previously described [
4,
11]. Briefly, after appropriate treatments, cells were seeded in 6-well plates and cultured until they reached 90% confluence. A 10-μl micropipette tip was used to make a wound. Cells were monitored at 0 h and 48 h after scratching and images of wound healing were captured (magnification of 100×) using a inverted phase contrast light microscope (Olympus, Tokyo, Japan) with DP Controller software (Olympus Life Science, Tokyo, Japan). Cell migration was quantified by measuring the wound healing index; i.e., the wound area healed by the cells at 48 h after scratching relative to the wound area at 0 h, using ImageJ software. For the Transwell migration or invasion assays, cells were resuspended in DMEM without serum and seeded into the upper chamber of 8-μm Transwell filters (Merck Millipore, Berlin, Germany). The invasion assay was performed using filters pre-coated in 1:3 diluted matrigel (BD Biosciences, Bedford, MA, USA) while the migration assay was not. DMEM containing 15% FBS was added to the lower chambers (24-well plate) and the cells were incubated 16 h for the migration assay and 24 h for the invasion assay. The invaded or migrated cells were quantified after 0.1% crystal violet staining in five randomly selected fields (magnification of 200×).
Xenografts
Xenograft models were generated in 6-week-old female nude mice (Laboratory Animal Center, Xinqiao Hospital, TMMU). Eighteen Mice were randomly divided into three groups (six for overCtrl and scrambled MTF cells; six for overTSSC3 and scrambled MTF cells; and six for overTSSC3 and shATG5 MTF cells) and weighed every four days. Cells suspensions of 4 × 10
6 cells/ml in PBS were injected subcutaneously into a single side of the infra-axillary of each mouse in a volume of 0.1 ml. Xenografts were observed and measured every three days. The volume of xenografts were calculated as V (mm
3) =1/2 × (length × width
2) [
33]. Mice were sacrificed at 20 days after injection and tumors were harvested and measured. A small part of tumors were excised and fixed with 4% glutaraldehyde quickly on ice for TEM. The remainder was fixed with 10% neutral buffered formalin, sliced, subjected to hematoxylin and eosin (H&E) staining, and further analyzed by immunohistochemistry (IHC).
Twenty-one nude mice were randomly divided into three groups as mentioned above. Cell suspensions of 5 × 107 cells/ml were injected into the tail vein of 4-week-old female nude mice (Laboratory Animal Center, Xinqiao Hospital, TMMU) in a volume of 100 μl. The mice were evaluated every two days for weight and emaciation incapacitating tumor burden. Natural deaths of the nude mice were recorded to calculate the lifetime at 38 days after injection. The surviving nude mice were sacrificed at 38 days. All the lungs were resected and fixed in 10% neutral buffered formalin, and the fixed lungs were embedded in paraffin, sectioned, and stained with H&E. Microscopic lung metastases were counted under a light microscope after H&E staining. Five discontinuous and deep sections were used to define whether there was a metastasis nodule in the fixed lungs and the number of lung metastasis nodules was counted in one section with the most nodules.
All the animal care and experimental procedures were approved by the Institutional Animal Care and Use Committee of Xinqiao Hospital, TMMU, and were performed according to the Guide for the Care Use of Laboratory Animals.
Statistical analysis
Quantitative data are presented as the mean ± SD. Quantitative data were analyzed using unpaired Student’s t-tests for two groups and analysis of variance (ANOVA) with Bonferroni’s multiple comparisons for three or more groups. Categorical data were analyzed using the Chi-squared test or Fisher’s exact test, and Spearman rank correlation coefficients. Survival analysis was carried out using the Kaplan–Meier method with the log-rank test. The independent prognostic factors were determined by Cox regression analysis. P < 0.05 was considered statistically significant. All analyses were performed using SPSS 20.0 software (version 20.0, SPSS Inc., Chicago, IL, USA) or GraphPad Prism (version 7.00, GraphPad Software, Inc., San Diego, CA, USA). In Vitro experiments were performed at least triplicate.
Discussion
TSSC3, a maternally expressed imprinted gene that has a potential growth inhibitory effect, was reported to loss its expression in several cancers, including osteosarcoma [
8]. In our previous work, we demonstrated that
TSSC3 acts as a tumor suppressor gene in osteosarcoma [
4,
8‐
11]. Moreover, Enhancer of zeste homolog 2 (EZH2) was found to be involved in loss of TSSC3 expression [
32] and the expression of TSSC3 could be altered by 5-Aza-CdR (a DNA methyltransferase inhibitor) treatment in osteosarcoma cells [
39]. Although, many anti-tumor effects were found to be associated with TSSC3 in osteosarcoma, the mechanism underlying these effects remain poorly understood. In the present study, we demonstrated that TSSC3 expression associated with ATG5 expression might be a favorable prognostic marker of osteosarcoma. We provided further evidence that TSSC3 overexpression induces autophagy, likely via the Src-mediated PI3K/Akt/mTOR pathway, and autophagy, at least partially, contributes to TSSC3-induced tumorigenesis and metastasis suppression in osteosarcoma, both in vitro and in vivo.
Accumulating evidence suggests that autophagy is correlated with progression and patient outcome after treatment in diverse types of cancer [
12,
29,
36]. ATG5 and P62, as essential autophagy-related regulatory proteins, have recently been identified as novel potential prognostic biomarkers for colorectal, breast, cutaneous, and other types of cancer [
38,
40‐
46]. However, with regard to the prognostic impact of ATG5 and P62 immunohistochemistry in various types of cancers, there are considerable discrepancies in the previous reports. For example, high expression of ATG5 suggested a superior prognosis in breast cancer, colorectal cancer, and early-stage melanoma [
40‐
42], but indicated a poor outcome in oral squamous cell carcinoma [
43]. High expression of P62 is always related to an inferior prognosis in breast cancer [
44], but might lead to a longer disease-free survival in stage II melanomas [
45]. Besides, these proteins may not have a prognostic value in some situations [
46]. Thus, many discrepancies remain, and there are few studies on the expression dynamics of ATG5 and P62 and their prognostic roles in osteosarcoma. In the present study, we found that ATG5 was significantly downregulated, together with an accumulation of P62 in osteosarcoma tissues. This supports the notion that autophagy is a protective player in early tumorigenesis and P62 is involved in Ras-induced tumorigenesis [
29,
34]. To the best of our knowledge, this is the first study to investigate the expression dynamics of ATG5 and P62 in human osteosarcoma tissues. Unfortunately, despite their notable change in expression in osteosarcoma, we failed to demonstrate an association between ATG5 or P62 with the characteristics of the patients with osteosarcoma, and neither ATG5 nor P62 seemed to be reliable prognostic biomarkers for osteosarcoma; however, this requires further validation because of our limited sample sample size. Moreover, TSSC3 was validated to be negatively associated with local recurrence and might be an independent prognostic marker for OS in osteosarcoma patients, which was similar to the observations in previous studies [
11,
47]. Importantly, we demonstrated that ATG5 expression was closely and positively correlated with TSSC3 expression in osteosarcoma for the first time, indicating there was a potential correlation between TSSC3 and autophagy. More importantly, we observed that among the patients with positive TSSC3 expression, the subset with positive ATG5 expression correlated with an earlier Enneking stage and displayed a significantly better OS compared to those with negative expression of ATG5. Thus, positive ATG5 expression could be a potential predictor of favorable prognosis in patients with TSSC3(+) osteosarcoma.
In the current study, we demonstrated that TSSC3 overexpression enhanced autophagy flux in osteosarcoma cells, which was consistent with the results that ATG5 (widely known as a key protein for the formation of autophagosomes) expression was positively correlated with TSSC3 expression in human osteosarcoma tissues.
PHLDA1, a homologous gene of
TSSC3 (PHLDA2) has been reported to regulate autophagy in breast cancer and neuroblastoma cells [
25,
48], which also suggested that TSSC3 might have the ability to regulate autophagy. As mentioned in the introduction, autophagy displays a dynamic and complicated function in cancer [
21,
29,
35,
36] and can suppress tumorigenesis and metastasis in response to some stressors [
2,
20,
22,
31,
37,
44]. Our findings suggested that autophagy contributes to TSSC3-mediated inhibition of tumorigenesis and metastasis in in vitro and in vivo models of osteosarcoma. EMT is widely known as an essential process during cancer progression and promotes the metastatic potential of cancer cells [
38]. There is evidence that autophagy impairs the EMT by promoting Snail protein degradation [
49] and weakening the stabilization of the Twist 1 protein by attenuating P62 expression [
50]. Although osteosarcoma is a mesenchymal type sarcoma, we found previously that an EMT-like process exists in osteosarcoma cells that facilitates the metastatic phenotype and could be regulated by TSSC3 [
4]. In the current study, our observations indicated that autophagy contributes to TSSC3-induced impairment of the EMT-like process in osteosarcoma cells. However, the mechanism by which TSSC3-induced autophagy impairs this EMT-like process in osteosarcoma cells remains unclear and further studies are need to investigate it. Autophagy can induce and contribute to apoptosis [
37]. Interestingly, in our study, inhibition of autophagy inhibition displayed an opposite effect of TSSC3-induced apoptosis between MTF and SaOS2 cell lines. Similarly, autophagy inhibition was reported to have an opposing impact on the response of two osteosarcoma cell lines following camptothecin treatment [
51]. Thus, we speculated that the partial autophagic effect not only varies for different cancers, but also in different cell lines.
As a member of phosphatidylinositol 3-kinase-related kinases (PIKKs), mTOR is one of the key regulators of mammalian cell metabolism and is the main downstream target of the PI3K/Akt signaling pathway [
52]. Numerous reports have highlighted the importance of mTOR and its downstream target p70S6K in regulating autophagy [
26,
27]. Previously, we reported that TSSC3 interacts with RanBP9 bound to Src to prevent its phosphorylation, which further abrogated Src-dependent Akt pathway activation [
10]. It is reported that the homologous genes of TSSC3, for example
PHLDA1 and
PHLDA3, are involved in the regulation of mTOR and p70S6K phosphorylation [
53]. Here, we demonstrated that TSSC3 overexpression also prevented mTOR phosphorylation, and that suppression of Akt/mTOR phosphorylation is a critical factor regulating in TSSC3-induced autophagy is Src-dependent. Collectively, these findings provide a more detailed understanding of the mechanism of TSSC3’s antitumor effects (Fig.
7c).