Literature DB >> 31612016

Inhibition of long non-coding RNA-AWPPH decreases osteosarcoma cell proliferation, migration and invasion.

Wenbin Ding1, Dajiang Wu1, Fang Ji1, Hao Zhang1.   

Abstract

Long non-coding RNAs (lncRNAs) serve a crucial role in various types of cancer. The lncRNA AWPPH has been reported to promote hepatocellular carcinoma and bladder cancer progression. However, to the best of our knowledge, the biological roles of AWPPH in osteosarcoma (OS) remain unclear. In the present study, the levels of AWPPH in OS tissues and cell lines were determined by reverse transcription-quantitative polymerase chain reaction. An MTT assay was used to detect OS cell proliferation. The levels of proteins associated with the PI3K/Akt signaling pathway and apoptosis were determined by western blotting. Wound-healing and Transwell assays were conducted to determine cell migration and invasion, respectively. The results demonstrated that AWPPH was highly expressed in OS tissues and cells. Functional analyses revealed that AWPPH depletion significantly inhibited OS cell proliferation and migration, and promoted OS cell apoptosis. Furthermore, AWPPH downregulation significantly inhibited the PI3K/AKT pathway. The present study demonstrated that AWPPH was highly expressed in OS, and that AWPPH promoted OS cell proliferation and migration, and inhibited OS cell apoptosis, which may be mediated by PI3K/AKT pathway activation. Copyright: © Ding et al.

Entities:  

Keywords:  apoptosis; long non-coding RNA-AWPPH; migration; osteosarcoma; proliferation

Year:  2019        PMID: 31612016      PMCID: PMC6781783          DOI: 10.3892/ol.2019.10898

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Osteosarcoma (OS) is a bone malignancy that primarily affects adolescents and young adults. OS accounts for ~20% of all primary bone cancer cases in Europe and is the second highest cause of cancer-associated mortality in children (1). Despite advances in medical treatments, including surgery, transplantation and radiation, effective treatments for postsurgical recurrence and metastasis are not currently available, thus accounting for the poor patient outcome for OS (2). Although therapy for OS has improved, the overall survival rate of patients with OS has not substantially increased, and 35% of patients with OS die within 5 years of diagnosis (3). Furthermore, >20% of young patients with OS present with distant metastases at the time of diagnosis, and 40% of advanced stage cases progress to metastasis during therapy (4,5). To the best of our knowledge, the underlying molecular mechanism of metastasis in patients with OS has not yet been elucidated (6,7). It is therefore crucial to identify novel biomarkers and therapeutic strategies for the better management of OS. Long non-coding RNAs (lncRNAs) are polyadenylated RNA polymerase II-transcribed RNAs that are ≥200 nucleotides in length and do not present obvious open reading frames to encode proteins (8–10). An increasing number of studies have demonstrated that lncRNAs serve crucial roles in tumor initiation, progression, metastasis, drug-resistance and recurrence (11–13). A previous study reported that epigenetic activation of the lncRNA-maternally expressed gene 3 (MEG3) and/or inactivation of the mesenchymal-epithelial transition factor could represent a therapeutic strategy in pancreatic neuroendocrine tumor and insulinoma treatment (14). lncRNAs affect a variety of biological processes, including cellular proliferation, differentiation, migration, the immune response and apoptosis, which are all associated with tumorigenesis (15,16). However, the functional roles of lncRNAs remain commonly unknown. lncRNAs have been found to act as tumor suppressors or oncogenes (17–19). It has been reported that Ewing sarcoma-associated transcript 1 (EWSAT1) facilitates the growth and metastasis of OS cells via MEG3 regulation, which suggests that the EWSAT1-MEG3 axis may represent a promising target for OS treatment (20,21). A meta-analysis indicated that MEG3 may be considered as a potential novel biomarker for the clinical outcome of certain types of human cancer (22), including bladder cancer (23), cervical carcinoma (24), hepatocellular cancers (25) and meningiomas (26). AWPPH is a novel IncRNA that has been reported to be involved in the development of several types of cancer and to have oncogenic functions (27,28). For examples, a recent study reported that AWPPH is overexpressed in hepatoma cells, where it can promote proliferation and migration of liver cancer cells, and stimulate the growth and metastasis of tumor cells by interacting with Y-box binding protein 1 (YBX1) (29). However, it remains unclear whether AWPPH could be considered as a critical regulator in OS that could predict patient prognosis. The present study aimed to evaluate the effects of AWPPH on OS cell proliferation, migration and apoptosis. Furthermore, this study will investigate the role of AWPPH on the regulation of phosphorylated (p)-PI3K, p-AKT, Bcl-2 and cleaved-caspase-3 expressions, in order to determine the underlying mechanisms of AWPPH in OS.

Materials and methods

Patients

A total of 30 pairs of OS tissues and paracancerous tissues were obtained from 30 patients (17 men and 13 women) undergoing tumor resection at the Changhai Hospital (Shanghai, China) between April 2010 and October 2017. The average age of the patients was 22.34 years (age range, 10–59 years). All tissues (4–8 cm thickness) were immediately snap-frozen in liquid nitrogen and stored at −80°C until further use. Written informed consent was obtained from all patients and the study protocol was approved by the Ethics Committee of the Changhai Hospital.

Cells and reagents

The OS MG-63 and U2OS, and the osteoblast hFOB1.19 cell lines were purchased from the American Type Culture Collection (ATCC). Fetal bovine serum (FBS), Dulbecco's modified Eagle's medium (DMEM) and the MTT assay were purchased from Sigma-Aldrich; Merck KGaA. Penicillin, streptomycin, glutamine and TRIzol® were obtained from Invitrogen; Thermo Fisher Scientific, Inc. Antibodies against p-PI3K (cat. no. 4228S), PI3K (cat. no. 4249S), p-Akt (cat. no. 4060S), Akt (cat. no. 9272S), Bcl-2 (cat. no. 15071S), Bax (cat. no. 2774) cleaved-caspase-3 (cat. no. 9661S), caspase-3 (cat. no. 9662), cleaved-caspase-9 (cat. no. 20750) and caspase-9 (cat. no. 9508) were obtained from Cell Signaling Technology, Inc. and used at 1:500 dilution according to the manufacturer's instructions. Antibody against GAPDH, (cat. no. sc-32233); mouse anti-rabbit IgG-HRP antibody, (cat. no. sc-2357) and m-IgGκ BP-HRP antibody (cat. no. sc-516102) were purchased from Santa Cruz Biotechnology, Inc. and used at 1:5,000 dilution.

Cell culture

The MG-63 and U2OS cell lines were cultured in DMEM supplemented with 10% FBS, 100 U/ml penicillin, 100 mg/ml streptomycin and 2 mM glutamine, and placed at 37°C in a humidified incubator containing 5% CO2. The hFOB1.19 cell line was cultured as previously described (30) and according to ATCC procedures. For in vitro proliferation, the hFOB1.19 cells were maintained in a non-differentiation medium that consisted of 1:1 DMEM/F-12 (GE Healthcare Life Sciences) containing 10% FBS (Sigma-Aldrich; Merck KGaA) and 0.3 mg/l G418 (Sigma-Aldrich; Merck KGaA), and cultured in a humidified incubator with 5% CO2 at 34°C. The medium was replaced every 2–3 days.

Short hairpin (sh)RNA transfection

The AWPPH shRNA used in the MG-63 and U2OS cell lines was purchased from Guangzhou RiboBio Co., Ltd. Cells were transfected using Lipofectamine® 3000 (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. The sequence of the AWPPH shRNA was 5′-CTGGATGGTCGCTGCTTTTTA-3′. AWPPH shRNA (100 nM) was inserted into the shRNA expression vector pGPH1/Neo (40 nM; Clontech Laboratories, Inc.) and packaged using Platinum-A (Cell Biolabs, Inc.). Cells (1.2×106) were transfected with AWPPH shRNA or scrambled shControl (5′-UUUCCGAACGUGUCACGUdTdT-3′) for 48 h prior to further experimentation.

MTT assay

The effect of AWPPH downregulation on MG63 and U2OS cell proliferation was measured by MTT assay. Cells (1×104/100 µl) were seeded in 96-well plates. MTT (50 µl) was added and the cells were incubated for 4 h. Subsequently, 150 µl DMSO was added to dissolve the purple formazan, and the absorbance was read at 570 nm with a microplate reader (Thermo Fisher Scientific, Inc.).

RNA isolation and reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Total RNA from OS tissues, the two OS cell lines MG-63 and U2OS and the human osteoblast hFOB 1.19 cell line was isolated with TRIzol® according to the manufacturer's instructions. Total RNA concentration was determined with photometric method using a NanoQuant plate (Tecan Group, Ltd.). RNA (1 ng) was reverse transcribed using the Reverse EasyScript One-Step gDNA Removal and cDNA Synthesis SuperMix (Trangene) according to the manufacturer's instructions. RT-qPCR was performed using SYBR-Green Master mix (Roche Life Science) in an ABI 7500 Real-time PCR instrument according to the following reactions: Denaturation for 1 cycle at 95°C for 1 min, followed by 40 cycles of 20 sec at 95°C and 40 sec at 58°C. GAPDH was used as an endogenous control. The primers used were designed as follows: AWPPH forward, 5′-CTGGATGGTCGCTGCTTTTTA-3′ and reverse, 5′-AGGGGGATGAGTCGTGATTT-3′; and GAPDH forward, 5′-GGAGCGAGATCCCTCCAAAAT-3′ and reverse, 5′-GGCTGTTGTCATACTTCTCATGG-3′. The relative expression levels were normalized to endogenous controls and assessed using the 2−ΔΔCq method (31).

Cell migration and invasion assays

For the migration assay, 1×105 MG-63 and U2OS cells were seeded in six-well plates and cultured at 37°C overnight. A linear wound was carefully made with fine pipette-tips in the middle of the well, cell debris was removed and the cells were incubated with serum-free medium. The wounded monolayers were photographed at 0 and 24 h after wounding using an inverted microscope (magnification, 40×; Carl Zeiss AG). For the invasion assay, 3×105 MG-63 and U2OS cells were seeded in FBS-free DMEM in the upper chamber of a 24-well Matrigel-coated Transwell invasion insert (diameter, 6.4 mm; pore size, 8 µm; BD Biosciences). The lower chamber was filled with DMEM supplemented with 20% FBS. Following 24 h of incubation, the cells in the upper chamber were removed, and the cells that had invaded the membrane were stained using crystal violet for 20 min at room temperature. Five randomly selected fields were captured with an upright optical microscope (magnification, ×10; Leica Microsystems GmbH) and the migrated cells were counted. All experiments were performed in triplicate at least three times.

Western blotting

MG-63 and U2OS cells were collected, and the total protein was extracted using RIPA lysis buffer (cat. no. P0013K; Beyotime Institute of Biotechnology) containing 1 mmol/l phenylmethylsulfonyl fluoride protease inhibitor (cat. no. ST506; Beyotime Institute of Biotechnology). Protein concentration of cell lysates was determined using a Bradford Protein Assay Kit (MultiSciences Biotech Co., Ltd.). Proteins (40 µg) were separated by 12% SDS-PAGE and transferred to polyvinylidene difluoride membranes. Membranes were incubated with antibodies against p-PI3K, PI3K, p-Akt, Akt, Bcl-2, Bax, cleaved-caspase-3, caspase-3, cleaved-caspase-9, caspase-9 and GAPDH at 4°C overnight. Membranes were washed with PBST and incubated with secondary antibodies for 1 h at room temperature. Enhanced chemiluminescence reagent (Thermo Fisher Scientific Inc.) was used to detect the signal on the membrane. Relative expression level of proteins was normalized to endogenous control GAPDH using Image-Pro Plus 6.0 (Media Cybernetics Inc.).

Statistical analysis

P-values were calculated using Student's t-test or one-way analysis of variance with SPSS software version 19.0 (IBM Corp.). All data are expressed as the mean ± standard error of the mean. P<0.05 was considered to indicate a statistically significant difference.

Results

AWPPH is highly expressed in OS tissues and cells

The expression levels of AWPPH in OS tissues, in the two OS cell lines MG-63 and U2OS, and in the human osteoblast hFOB 1.19 cell line were detected by RT-qPCR. As presented in Fig. 1A, AWPPH expression levels were significantly elevated in OS tissues compared with those in non-cancerous matched bone tissues. In addition, the expression levels of AWPPH were significantly increased in the MG-63 and U2OS cell lines (Fig. 1B) compared with those in hFOB1.19 cells. In order to investigate the biological roles of AWPPH in OS cells, the MG-63 and U2OS cell lines were stably depleted of AWPPH using AWPPH-specific shRNA. RT-qPCR analysis reported that transfection with AWPPH shRNA effectively decreased AWPPH mRNA expression in the MG-63 and U2OS cells, compared with that in the control and shControl groups (Fig. 1C and D).
Figure 1.

AWPPH is highly expressed in OS tissue and cells. The mRNA expression of AWPPH in (A) OS tissue and (B) MG-63, U2OS and hFOB1.19 cells was measured by RT-qPCR. (C) MG-63 and (D) U2OS cells were transfected with AWPPH shRNA and blank vector, and mRNA expression of lncRNA AWPPH was measured by RT-PCR. Data are expressed as the mean ± standard error of the mean of 3 independent experiments in triplicate. ***P<0.001, compared to the para-matched bone tissues. ***P<0.001, compared to the hFOB1.19 cell, **P<0.01, ***P<0.001, compared to the control group. Non-cancerous bone tissue, para-matched bone tissues; Sh, short hairpin; RT-qPCR, reverse transcription-quantitative polymerase chain reaction.

AWPPH downregulation inhibits OS cell proliferation, migration and invasion

As presented in Fig. 2A and B, MG63 and U2OS cell proliferation was significantly decreased following 48 and 72 h of transfection with AWPPH shRNA, compared with the negative control. The wound-healing assay demonstrated that AWPPH depletion decreased the migration capacity of the MG-63 (Fig. 2C) and U2OS (Fig. 2D) cells. In addition, the Transwell assay revealed that AWPPH depletion significantly inhibited MG-63 and U2OS cell invasion (Fig. 2E). These data suggested that AWPPH may serve a crucial role in OS cell proliferation, migration and invasion.
Figure 2.

AWPPH downregulation inhibits OS cell proliferation, migration and invasion. (A) MG-63 and (B) U2OS cells were transfected with AWPPH shRNA and blank vector, and cell proliferation was measured by MTT at 24, 48 and 72 h post-transfection. (C and D) Wound-healing and (E) Transwell assays were used to examine the cell migration and invasion of MG-63 and U2OS cells transfected with AWPPH shRNA. Data are expressed as the mean ± standard error of the mean of three independent experiments in triplicate.*P<0.05, **P<0.01 and ***P<0.001 compared with the control group. Sh, short hairpin; OD, optical density.

AWPPH downregulation promotes OS cell apoptosis-associated factors

In order to investigate whether cell apoptosis contributes to the decrease in cell viability, western blotting was used to detect cell apoptosis-associated proteins. The results demonstrated that cleaved-caspase-3, cleaved-caspase-9 and Bax expressions were significantly increased, whereas Bcl-2 expression was significantly decreased in the MG-63 and U2OS cells following transfection with AWPPH shRNA (Fig. 3A and B).
Figure 3.

AWPPH downregulation promotes OS cell apoptosis. Protein expressions of Bax, Bcl-2, cleaved caspase-3, caspase-3, cleaved caspase-9 and caspase-9 in (A) MG-63 and (B) U2OS cell lines was determined by western blotting. Data are expressed as the mean ± standard error of the mean of three independent experiments in triplicate. **P<0.01 and ***P<0.001 compared with the control group. Sh, short hairpin.

AWPPH downregulation inhibits the PI3K/AKT pathway

As presented in Fig. 4A and B, western blotting demonstrated that AWPPH depletion significantly decreased the protein levels of p-PI3K and p-AKT in the MG-63 and U2OS cells. These results suggested that AWPPH may partly function by activating the PI3K/AKT pathway.
Figure 4.

AWPPH downregulation inhibits the PI3K/AKT pathway. Protein expression of p-PI3K, PI3K, p-AKT and AKT in (A) MG-63 and (B) U2OS cells was determined by western blotting. Data are expressed as the mean ± standard error of the mean of three independent experiments in triplicate. **P<0.01 compared with the control group. Sh, short hairpin.

Discussion

OS is the most frequent type of primary bone cancer, with an incidence of 0.2–3/100,000 per year (32,33). An increasing number of studies have suggested that the aberrant expression of lncRNAs is a potential driver event of tumorigenesis and cancer progression (18,34,35). In the present study, the AWPPH expression level was significantly increased in OS tissues and cells compared with that in control groups. Furthermore, AWPPH depletion decreased OS cell proliferation, migration and invasion, promoted OS cell apoptosis and inhibited the PI3K/AKT pathway. These results demonstrated that AWPPH may be considered as a potential prognostic biomarker for OS. A recent study reported that AWPPH is highly expressed in hepatocellular carcinoma (HCC) tissues, that it promotes HCC cell proliferation and migration in vitro, and that it promotes tumor growth and metastasis in vivo through YBX1 (29). In addition, AWPPH is highly expressed in bladder cancer (BC) and promotes cell proliferation, autophagy and migration, and inhibits cell apoptosis in BC by inhibiting SMAD family member 4 via enhancer of zeste 2 polycomb repressive complex 2 subunit (27). A previous study reported that increased expression of AWPPH is correlated with incomplete encapsulation, microvascular invasion, and advanced Tumor-Node-Metastasis stage and Barcelona clinic liver cancer stage in HCC (29). Additionally, survival analysis and Cox proportional hazards regression analysis revealed not only a correlation between AWPPH and poor recurrence-free survival and overall survival, but the fact that it is an independent prognostic factor of these measurements too (29). However, to the best of our knowledge, there are currently no reagents that target AWPPH and no studies or clinical tests on AWPHH expression in patients with OS, and the expression and role of AWPPH in OS therefore remain unknown. The present study demonstrated that AWPPH expression level was higher in OS cells compared with that in the osteoblast hFOB1.19 cell line. These results were consistent with those observed for AWPPH expression in certain subtypes of HCC and BC (19,22). In the present study, the role of AWPPH in OS carcinogenesis and the one of the potential mechanisms underlying AWPPH function were elucidated via AWPPH-knockdown. MTT assay confirmed that AWPPH-knockdown decreased OS cell proliferation. In addition, the results from the wound-healing and Transwell assays demonstrated that AWPPH depletion suppressed OS cell migration and invasion. Furthermore, western blotting analysis indicated that AWPPH-knockdown induced cell apoptosis by regulating Bcl-2, Bax, cleaved-caspase-3 and cleaved-caspase-9 protein expressions. These results indicated that AWPPH may have an oncogenic role in OS. Further investigation using a larger clinical sample size is required to validate the expression of AWPPH in OS and to determine its potential prognostic value. Disease recurrence and metastasis occurrence frequently result in the poor outcome of patients with OS. Numerous studies have reported that the functional roles of lncRNAs in cancer involve the carcinogenic or metastatic signaling pathways (34,35). Investigating the association between signaling pathways and lncRNAs is therefore critical in order to develop novel strategies for the early diagnosis and treatment of OS. A thorough investigation has been performed of the role of the PI3K/AKT signaling pathway in cancer pathogenesis, and numerous drugs targeting this pathway are currently being developed (36). PI3K can change the protein structure of AKT and activate it, when binding to growth factor receptors, including EGFR, RAS and PTEN. PI3K can activate or inhibit a series of downstream effectors, regulating therefore cell proliferation, differentiation, apoptosis and migration. The activation of Akt by PI3k leads to the phosphorylation of apoptosis-related proteins, including Bax (37), Bad (38) and caspase-9 (39), inhibiting therefore their function of apoptosis promoters. Furthermore, the structures of growth factor receptors are all altered at some level in most solid tumors, including colorectal cancer (36), epithelial ovarian cancer (40) and cervical cancer (41). The PI3K/AKT signaling cascade and downstream effectors are therefore considered as attractive pharmacological targets (42,43). In addition, it has been reported that the downregulation of DEP domain-containing mTOR-interacting protein inhibits the proliferation, migration and survival of OS cells through the PI3K/Akt/mTOR pathway (44). A recent study reported that AWPPH activates the PI3K/AKT pathway in HCC cells (29). In the present study, AWPPH downregulation significantly decreased p-PI3K and p-AKT expression levels, which indicated that the PI3K/AKT pathway may participate in the oncogenic function of AWPPH. In conclusion, the present study demonstrated that AWPPH was highly expressed in OS cells, and that AWPPH-knockdown suppressed OS cell proliferation, migration and invasion, and promoted OS cell apoptosis, which may be mediated by PI3K/AKT pathway activation. These data suggested that AWPPH may be considered as a prognostic biomarker and a potential therapeutic target in OS.
  44 in total

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