Abstract
Objective(s):
microRNA-29 (miR-29) family miRNAs have been mentioned as tumor suppressive genes in several human cancers. The purpose of this study was to investigate the function of miR-29a in nasopharyngeal carcinoma (NPC) cells.
Materials and Methods:
Human NPC cell line 5-8F was transfected with mimic, inhibitor or scrambled controls specific for miR-29a. Subsequently, cell viability, migration, apoptosis and expression changes of VEGF were assessed by trypan blue staining, MTT assay, transwell assay, flow cytometry, Western blot and RT-qPCR. TargetScan online database was used to predict the targets of miR-29a, and luciferase reporter assay was carried out for testing the targeting relationship between VEGF and miR-29a. Western blot analysis was performed to determine the expression changes of core proteins in PI3K/AKT and JAK/STAT pathways.
Results:
Overexpression of miR-29a suppressed 5-8F cells viability and relative migration, but increased apoptotic cell rate. Consistently, Bcl-2 was downregulated, Bax was upregulated, and caspase-3 and -9 were cleaved by miR-29a overexpression. VEGF was a target gene of miR-29a. Besides, VEGF silence exerted similar effects like miR-29a, as the viability and migration were repressed and apoptosis was induced. Finally, we found that PI3K/AKT and JAK/STAT pathways were deactivated by miR-29a or VEGF silence.
Conclusion:
These findings highlighted the tumor suppressive effects of miR-29a on NPC cells, as its overexpression inhibited 5-8F cells viability, migration, and induced apoptosis. miR-29a exerted tumor suppressive functions might be via targeting VEGF and deactivating PI3K/AKT and JAK/STAT pathways.
Key Words: 5-8F cell, miR-29a, Nasopharyngeal carcinoma- (NPC), PI3K/AKT and JAK/STAT- pathways, VEGF
Introduction
Nasopharyngeal carcinoma (NPC) is a distinctive type of head and neck cancer with low-frequency incidence worldwide, but it is a high risk cancer in Southeast Asia and Southern China, especially in Guangdong province (1, 2). The extract etiology of NPC remains unclear. EB-virus infection, environmental influences and heredity have been recognized as main risk factors of NPC (3). The therapeutic treatment of NPC in clinic includes surgery, chemotherapy and radiotherapy, which will achieve satisfactory outcomes (4). However, survival rates are declined with increasing tumor growth and distant metastases of NPC patients with advanced disease stage (5). Development of novel treating strategies focused on repressing NPC cells growth and metastasis is still required for improving the survival of NPC.
microRNAs (miRNAs) are small non-coding RNAs with length approximately 22 nt. miRNAs are able to participate in multiple physiological and pathological processes through regulating target genes post-transcriptionally (6). Nowadays, miRNAs’ function in tumor cells has been investigated extensively. According to their function, some of them have been identified as oncogenic miRNAs or tumor-suppressive miRNAs (7). Additionally, detection of miRNA expression profiling is showing promise in clinical diagnose and prognosis prediction of human cancers (8).
miR-29 family consists of miR-29a, miR-29b and miR-29c, which have been reported as key regulators in tumor cells proliferation, differentiation, apoptosis, migration and invasion (9). Aberrant expression of miR-29 has been found in many human cancers, including acute myeloid leukemia (10), gastric cancer (11), colorectal cancer (12) and osteosarcomas (13). Besides, it has been mentioned as a tumor suppressive gene in NPC, as its expression is gradually increased during the development of NPC (14, 15). Meanwhile, p53 signaling and expression of immunoinhibitory molecules can be significantly regulated by miR-29 (14, 15). Low plasma levels of miR-29a predicted a poor prognosis of NPC (16). A later functional experiment reported that miR-29a inhibited the proliferation and promoted apoptosis of NPC CNE-1 cells (17), showing tumor suppressive functions. Of contrast, another in vitro study proposed miR-29a as a NPC promoting gene by enhancing tumor cells migration and invasion (18).
This study performed in human NPC 5-8F cells aimed to study the exact role of miR-29a in NPC cells growth and migration. A previous study has demonstrated that, miR-29a suppressed gastric cancer cells growth and invasion via targeting VEGF (19). Herein, we attempted to reveal whether miR-29a functioned to 5-8F cells also via regulating VEGF. Besides, PI3K/AKT and JAK/STAT pathways have now been extensively studied with investigations determining their role in carcinogenesis and the potential use of blocking these two signaling in cancer treatment (20, 21). Thus, in this study the effects of miR-29a and VEGF on the activation of PI3K/AKT and JAK/STAT pathways were studied for further explanation of the anti-tumor role of miR-29a. This study will be helpful for understanding miR-29a’s function.
Materials and Methods
Cell culture
Human NPC cell line (5-8F), a kind gift from Yixin Zeng (Cancer Center, Sun Yat-sen University, Guangzhou, China), was cultured in RPMI-1640 medium (HyClone, Logan City, Utah, USA) supplementary with 10% fetal bovine serum (FBS, HyClone). The cells were cultured at 37 °C in a humidified atmosphere of 5% CO2.
Cell transfection
miR-29a mimic, miR-29a inhibitor and the corresponding scrambled controls, namely Scramble and NC, were synthesized by GenePharma (Shanghai, China). The full-length of VEGF was inserted into pcDNA3.1 plasmid (Invitrogen, Carlsbad, CA, USA) for construction of VEGF expression vector. VEGF shRNA plasmid was purchased from Santa Cruz Biotechnology (Santa Cruz, CA, USA). Empty pcDNA3.1 plasmid and the non-targeting shRNA were used as negative controls respectively. Transfection was performed when the cells in 6-well plates were reached 50% confluence by using Lipofectamine 3000 reagent (Invitrogen). After 48 hr of transfection, cells were collected and the transfection efficiency was tested by RT-qPCR and/or Western blot.
Trypan blue staining
The transfected cells were seeded in 24-well plates with a density of 1 × 105 cells/well for 48 hr of incubation. The cells were trypsinized and stained by 0.4% trypan blue (Solarbio, Beijing, China) for 5 min, after which the viable cells were counted under a microscope (CX23, Olympus, Tokyo, Japan).
CCK-8 assay
Cell viability was also detected by 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) assay. The transfected cells were seeded in 96-well plates with a density of 5×105 cells/well. The cells were then incubated at 37 °C for 12-96 hr. MTT solution (Sigma-Aldrich, St Louis, MO, USA) with a final concentration of 5 mg/ml was added into each well, and the plates were incubated at 37 °C for another 4 hr. The culture medium was removed, and 150 μl dimethyl sulfoxide (DMSO, Sigma-Aldrich) was added into each well. The plates were shaken in an ELISA reader (Bio-Rad, Hercules, CA, USA) for 10 min, after which the absorbance (OD-value) at a wavelength of 470 nm was measured.
Migration assay
The transfected cells were resuspended in 200 μl serum-free medium and placed into the upper chamber of a 24-well transwell cell culture chamber (Coster, Cambridge, MA) equipped with a filter membrane with 8-µm pores. The lower chamber was filled with 600 μl complete medium. After 48 hr of incubation at 37°C, the cells were fixed with methanol. Cells in the upper chamber were removed by cotton swab, and cells in the lower chamber were stained by crystal violet (Beyotime, Shanghai, China). The stained cells were counted under the microscope (CX23, Olympus, Tokyo, Japan).
Apoptosis assay
Cell apoptosis was detected after transfection by using Annexin V-PE Apoptosis Detection Kit (Beyotime). In brief, 1×105 transfected cells were resuspended in 195 µl Annexin V-PE binding buffer. Then, 5 µl Annexin V-PE was mixed in the cell suspension, and followed by a 15 min of incubation at room temperature in the dark. The samples were then determined by a flow cytometer (Beckman Coulter, USA).
Prediction of miR-29a-targeting genes
TargetScan online database (http://www.targetscan.org/vert_71/) was used to predict target genes for miR-29a.
Luciferase reporter assay
The predicted binding site in 3’UTR of VEGF was amplified by PCR and was inserting into pmiR-Report vector (Ambion, Austin, TX, USA) for construction of a reporter vector VEGF-WT. The predicted binding sites were replaced by the unpaired bases and were referred as VEGF mutated type (VEGF-MUT). These vectors were co-transfected with miR-29 mimic or Scramble into 293T cells. After 48 hr of transfection with the help of Lipofectamine 3000 reagent, luciferase assay was carried out for testing luciferase activity by using Dual-Luciferase reporter assay system (Promega, Madison, WI, USA) as previously described (22).
RT-qPCR
Total RNAs in the transfected cells were extracted by the TRIzol reagent (Invitrogen). The expression of miR-29a was tested by using the Mir-X™ miRNA First Strand Synthesis Kit and Mir-X™ miRNA qRT-PCR SYBR® Kit (Takara Biotechnology, Dalian, China). The expression of VEGF was tested by using the Transcriptor First Strand cDNA Synthesis Kit and FastStart Universal SYBR Green Master (Roche, Basel, Switzerland). The expression of miR-29a was normalized to U6, and VEGF was normalized to GAPDH. Data were analyzed according to the classic 2−ΔΔCt method. The primer sequences were listed as follows. miR-29a: forward 5’-GGGTAGCACCATCTGAAAT-3’, reverse 5’-CAGTGCGTGTCGTGGAGT-3’; U6: forward 5’-CTCGCTTCGGCAGCACA-3’, reverse 5’-AACGCTTCACGAATTTGCGT-3’; VEGF: forward 5’-CAACATCACCATGCAGATTATGC-3’, reverse 5’-CCCACAGGGATTTTCTTGTCTT-3’; GAPDH: forward 5’-GAAGGTGAAGGTCGGAGTC-3’, reverse 5’- GAAGATGGTGATGGGATTTC-3’.
Western blot
Total proteins in the transfected cells were isolated by 1% Triton X-100 and 1 mM PMSF (pH 7.4) over ice for 30 min. The protein concentration of the whole-cell extract was tested by BCA™ Protein Assay Kit (Pierce, Appleton, WI, USA). Proteins were separated by SDS-PAGE and transferred onto polyvinylidene fluoride (PVDF) membrane. The membranes were blocked in 5% nonfat dry milk for 1 hr at room temperature, followed by incubation with primary antibodies at 4 °C overnight. Antibodies specific for Bcl-2 (ab692), Bax (ab32503), pro-caspase-3 (ab32499), cleaved-caspase-3 (ab2302), pro-caspase-9 (ab2013), cleaved-caspase-9 (ab2324), VEGF (ab52917), PI3K (ab86714), p-PI3K (ab182651), AKT (ab8805), p-AKT (ab38449), JAK1 (ab47435), p-JAK1 (ab215338), STAT1 (ab3987), p-STAT1 (ab30645), STAT3 (ab119352), p-STAT3 (ab76315), and GAPDH (ab181602) were all purchased from Abcam (Cambridge, MA, USA). The membranes were then incubated with the secondary antibodies for 1 hr at room temperature. The protein bands were developed by chemiluminescence and autoradiography, and the intensity of the bands was quantified using Image Lab™ Software (Bio-Rad Laboratories, Hercules, CA, USA).
Statistical analysis
Data was presented as mean±SD from three repeated experiments. Statistical difference between groups was tested by ANOVA in SPSS 19.0 software (SPSS Inc., Chicago, IL, USA). Statistical difference was identified as P-value of <0.05.
Results
miR-29a was overexpressed or suppressed after transfection
The expression levels of miR-29a in 5-8F cells were altered by transfection. RT-qPCR data in Figure 1 showed that the expression level of miR-29a was significantly increased in miR-29a mimic transfected cells as compared to Scramble control (P<0.001). Meanwhile, miR-29a expression was significantly decreased in miR-29a inhibitor transfected cells when compared to NC transfected cells (P<0.01). These data suggested that miR-29a was successfully overexpressed or suppressed in 5-8F cells by transfection.
Figure 1.
The expression changes of miR-29a after transfection. RT-qPCR analysis for detection of miR-29a after 5-8F cells were transfected with miR-29a mimic, miR-29a inhibitor or corresponding controls. ** P<0.01; *** P<0.001
Increased miR-29a level inhibited viability and migration, but induced apoptosis of 5-8F cells
The changes in cell viability, migration and apoptosis were tested respectively post-transfection to evaluate the functions of miR-29a in 5-8F cells. Figure 2A-2C showed that cell viability and migration were both significantly reduced in miR-29a mimic group, and increased in miR-29a inhibitor group, as compared with their corresponding controls (all P<0.05). Figure 2D showed that apoptotic cell rate was increased in miR-29a mimic group when compared to Scramble group (P<0.01). However, no significant changes in apoptotic cell rate between miR-29a inhibitor group and NC group were observed (P<0.05), since the rate in NC group is already very low. Consistently, Western blot results in Figure 2E-2F displayed that Bcl-2 was downregulated (P<0.05), Bax was upregulated (P<0.05) and caspase-3 and -9 were remarkably cleaved (P<0.001) in miR-29a mimic group. Meanwhile, Bcl-2 was upregulated (P<0.05), Bax was downregulated (P<0.05) and caspase-3 and -9 were unchanged (P>0.05) in miR-29a inhibitor group.
Figure 2.
Effect of miR-29a dysregulation on 5-8F cells viability, migration and apoptosis. 5-8F cells were transfected with miR-29a mimic, miR-29a inhibitor or corresponding controls. Cell viability was respectively assessed by (A) trypan blue staining and (B) MTT assay. (C) Migration, (D) apoptotic cell rate, and (E-F) expression changes of apoptosis-related proteins were respectively assessed by transwell assay, flow cytometry, and Western blot. ns, no significant; * P<0.05; ** P<0.01; *** P<0.001
VEGF was a target gene of miR-29a
Previous studies have mentioned VEGF as a downstream effector of miR-29a in inhibition of gastric cancer (19) and osteoarthritis (23). Present work studied the regulatory relationship between miR-29a and VEGF in 5-8F cells to see whether miR-29a contributed to NPC cells growth and migration also via regulating VEGF. By performing RT-qPCR and Western blotting, we found that both the mRNA and protein levels of VEGF were low expressed in miR-29a mimic group, while were highly expressed in miR-29a inhibitor group, as compared to their corresponding controls (Figure 3A-3B). These data indicated that VEGF expression was negatively regulated by miR-29a. Next, we studied whether VEGF was a downstream target for miR-29a. TargetScan online database predicted that VEGF could directly bind with miR-29a (Figure 3C). This prediction was further confirmed by luciferase reporter assay, suggesting VEGF was a target gene of miR-29a (Figure 3D).
Figure 3.
Effect of miR-29a on vascular endothelial growth factor (VEGF) expression. 5-8F cells were transfected with miR-29a mimic, miR-29a inhibitor or corresponding controls. (A) mRNA and (B) protein expression levels of VEGF were measured by RT-qPCR and Western blot respectively. (C) The predicted consequential pairing of VEGF 3’UTR and miR-29a. (D) Luciferase reporter assay was carried out for testing the targeting relationship between VEGF and miR-29a. * P<0.05; ** P<0.01
Decreased VEGF level inhibited viability and migration, but induced apoptosis of 5-8F cells
Next, the functions of VEGF in 5-8F cells were tested by detection of cell viability, migration and apoptosis after transfection of pc-VEGF, sh-VEGF or corresponding controls. Transfection efficiency was verified by RT-qPCR and Western blotting. Figure 4A and 4B showed that VEGF overexpressing- and VEGF silencing-cells were successfully obtained. More importantly, transfection of cells with pc-VEGF significantly increased cell viability and migration (both P<0.05, Figure. 4C-4E), while have no impacts on apoptotic cell rate (P>0.05, Figure. 4F). Of contrast, transfection of cells with sh-VEGF significantly decreased viability (P<0.01) and migration (P<0.05), but increased apoptotic cell rate (P<0.01). Western blotting results indicated that Bcl-2 was up-regulated (P<0.01), Bax was down-regulated (P<0.05) and caspase-3 and -9 were unchanged (P>0.05) in pc-VEGF transfected cells (Figure 4G-4H). Meanwhile, Bcl-2 was down-regulated (P<0.05), Bax was up-regulated (P<0.01) and caspase-3 and -9 were cleaved (P<0.001) in sh-VEGF transfected cells. Collectively, VEGF silence shows miR-29a-like effects on 5-8F cells.
Figure 4.
Effect of vascular endothelial growth factor (VEGF) dysregulation on 5-8F cells viability, migration and apoptosis. 5-8F cells were transfected with pc-VEGF, sh-VEGF or corresponding controls. (A) mRNA and (B) protein levels of VEGF were measured by RT-qPCR and Western blot respectively. Cell viability was measured by (C) trypan blue staining and (D) MTT assay. (E) Migration, (F) apoptotic cell rate, and (G-H) expression changes of apoptosis-related proteins were respectively assessed by transwell assay, flow cytometry, and Western blot. ns, no significant; * P<0.05; ** P<0.01; *** P<0.001
Increased miR-29a level and decreased VEGF level deactivated PI3K/AKT and JAK/STAT pathways
Finally, the expression changes of core kinases in PI3K/AKT and JAK/STAT pathways were measured to decode whether miR-29a and VEGF impacted 5-8F cells though these two signaling. Figure 5A-5D displayed that, the phosphorylation levels of PI3K, AKT, JAK1, STAT1, and STAT3 were all remarkably decreased by miR-29a mimic (P<0.01), while were increased by miR-29a inhibitor (P<0.01 or P<0.001). Opposite trend was observed in Figure. 5E-5H, that the phosphorylation levels of these proteins were increased by pc-VEGF (P<0.001), while were decreased by sh-VEGF (P<0.05 or P<0.01). The total levels of these proteins were unchanged either by miR-29 dysregulation or by VEGF dysregulation.
Figure 5.
Effect of miR-29a and vascular endothelial growth factor (VEGF) dysregulation on the activation of phosphatidylinositol 3-kinase/otein-serine-thre-onine kinase (PI3K/AKT) and Janus kinase/signal transducer and activator of transcripti (JAK/STAT) pathways. 5-8F cells were transfected with miR-29a mimic, miR-29a inhibitor or corresponding controls. Expression changes of core proteins in (A-B) PI3K/AKT and (C-D) JAK/STAT pathways were tested by Western blot. 5-8F cells were transfected with pc-VEGF, sh-VEGF or corresponding controls. Expression changes of core proteins in (E-F) PI3K/AKT and (G-H) JAK/STAT pathways were tested by Western blot. * P<0.05; ** P<0.01; *** P<0.001
Discussion
Although the management of NPC has been largely improved in recent decades, the 5-years survival rate remains poor, due to the high recurrence and distant metastasis (24). Therefore, it is imperative to fully elucidate the underlying mechanisms involved in the growth and metastasis of NPC cells, which will provide fundamental information for the development of treating strategies. Recent literatures reported that, a growing number of miRNAs are implicated in the growth and migration of NPC cells, including miR-371-5p (25), miR-203a-3p (26), miR-130a-3p (27), and miR-29a (17, 18). In the current study, we also demonstrated the involvement of miR-29a in NPC cells growth and migration. Besides, in vitro experiments performed in 5-8F cells revealed that the functions’ of miR-29a in 5-8F cells might be via modulation of VEGF as well as PI3K/AKT and JAK/STAT pathways.
Sporadic studies have focused on investigating the role of miR-29a in NPC, but its function in oncogenesis and development of NPC is still confusing. An in silico analysis has proposed that miR-29a might function as a tumor suppressive gene in the stepwise development of NPC (28), due to miR-29a could significantly mediate p53 signaling and immuneinhibition (14, 15). This was confirmed by a later study, in which miR-29a overexpression inhibited the proliferation, but promoted apoptosis of CNE-1 cells (17). Actually, the tumor suppressive role of miR-29a has been widely reported in other cancer types, like hepatocellular carcinoma (29), lung cancer (30), glioma (31), and papillary thyroid carcinoma (32). However, another in vitro study suggested miR-29a as an oncogenic miRNA in NPC, as miR-29a overexpression increased S18 cells migration and invasion (18). Present work performed in NPC 5-8F cell line demonstrated that miR-29a overexpression repressed the viability and migration of tumor cells, while induced apoptosis, suggesting the tumor suppressive role of miR-29a in NPC. This contradiction might be caused by different cell types used in study.
An increasing number of literatures have demonstrated that miR-29a exerted its functions via regulating several relevant effectors in cancer, including CAV2 (33), STAT3 (17), SIRT1 (29), and NRAS (30). VEGF, a promoter of tumorigenesis, has also been mentioned as one of such downstream effectors of miR-29a (23). miR-29a lowered VEGF production and thus suppressed gastric cancer cells growth and invasion (19). Similar results were observed in this study, that miR-29a overexpression led to a down-regulation of VEGF. Luciferase reporter assay results revealed that VEGF was a target gene of miR-29a. Additionally, VEGF silence showed miR-29a-like effects on 5-8F cells, as the viability and migration were decreased, and apoptosis was induced by VEGF silence. Together, these findings suggested that miR-29a exerted anti-migratory and pro-apoptotic effects on 5-8F cells possibly via targeting VEGF.
PI3K/AKT and JAK/STAT signaling pathways play significant roles in regulating tumor cells proliferation, apoptosis, and migration (34, 35). Previous studies have showed a close relationship between miR-29a and STAT. For example, in melanoma cells, miR-29a could be up-regulated by IFN-γ in STAT1-dependent signaling (36). Moreover, in NPC CNE-1 cells, miR-29a overexpression inhibited STAT3 expression, indicating STAT3 was negatively regulated by miR-29a (17). Also, miR-29 expression has been linked with the activation of PI3K/AKT pathways (32, 37). The present work demonstrated that miR-29a overexpression remarkably repressed PI3K/AKT and JAK/STAT signaling pathways. VEGF exhibited opposite results in there two signaling, showing promoting effects on the activation of PI3K/AKT and JAK/STAT pathways. Our findings suggested the tumor suppressive effect of miR-29a and the tumor promoting effect of VEGF on NPC cells might be via modulating these two signaling.
Conclusion
Taken together, the findings of this study highlighted the tumor suppressive effects of miR-29a on NPC cells, as its overexpression inhibited 5-8F cells viability, migration, and induced apoptosis. miR-29a exerted tumor suppressive functions might be via targeting VEGF and deactivating PI3K/AKT and JAK/STAT pathways.
Acknowledgment
This work was supported by Zhejiang Medical and Health Science and Technology Project (No. 2015KYA199).
Conflict of interest
Authors declare that there is no conflict of interests.
References
- 1.Chang ET, Adami HO. The enigmatic epidemiology of nasopharyngeal carcinoma. Cancer Epidemiol Biomarkers Prev. 2006;15:1765–1777. doi: 10.1158/1055-9965.EPI-06-0353. [DOI] [PubMed] [Google Scholar]
- 2.Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65:87–108. doi: 10.3322/caac.21262. [DOI] [PubMed] [Google Scholar]
- 3.Zhang F, Zhang J. Clinical hereditary characteristics in nasopharyngeal carcinoma through Ye-Liang’s family cluster. Chin Med J. 1999;112:185–187. [PubMed] [Google Scholar]
- 4.Lee AW, Sze WM, Au JS, Leung SF, Leung TW, Chua DT, et al. Treatment results for nasopharyngeal carcinoma in the modern era: the Hong Kong experience. Int J Radiat Oncol Biol Phys. 2005;61:1107–1116. doi: 10.1016/j.ijrobp.2004.07.702. [DOI] [PubMed] [Google Scholar]
- 5.Tan WL, Tan EH, Lim DW, Ng QS, Tan DS, Jain A, et al. Advances in systemic treatment for nasopharyngeal carcinoma. Chin Clin Oncol. 2016;5:21–32. doi: 10.21037/cco.2016.03.03. [DOI] [PubMed] [Google Scholar]
- 6.Feng X, Zhou S, Wang J, Hu W. MicroRNA profiles and functions in mosquitoes. PLoS Negl Trop Dis. 2018;12:1–19. doi: 10.1371/journal.pntd.0006463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rossi M, Amodio N, Di Martino MT, Tagliaferri P, Tassone P, Cho WC. MicroRNA and multiple myeloma: from laboratory findings to translational therapeutic approaches. Curr Pharm Biotechnol. 2014;15:459–467. doi: 10.2174/1389201015666140519104743. [DOI] [PubMed] [Google Scholar]
- 8.Rocci A, Hofmeister CC, Pichiorri F. The potential of miRNAs as biomarkers for multiple myeloma. Expert Rev Mol Diagn. 2014;14:947–959. doi: 10.1586/14737159.2014.946906. [DOI] [PubMed] [Google Scholar]
- 9.Wang CY, Ren JB, Liu M, Yu L. Targeting miR-29 induces apoptosis of osteosarcoma MG-63 cells via regulation of TGF-beta1/PUMA signal. Eur Rev Med Pharmacol Sci. 2016;20:3552–3560. [PubMed] [Google Scholar]
- 10.Zhu C, Wang Y, Kuai W, Sun X, Chen H, Hong Z. Prognostic value of miR-29a expression in pediatric acute myeloid leukemia. Clin Biochem. 2013;46:49–53. doi: 10.1016/j.clinbiochem.2012.09.002. [DOI] [PubMed] [Google Scholar]
- 11.Zhao X, Hou Y, Tuo Z, Wei F. Application values of miR-194 and miR-29 in the diagnosis and prognosis of gastric cancer. Exp Ther Med. 2018;15:4179–4184. doi: 10.3892/etm.2018.5931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Al-Sheikh YA, Ghneim HK, Softa KI, Al-Jobran AA, Al-Obeed O, Mohamed MA, et al. Expression profiling of selected microRNA signatures in plasma and tissues of saudi colorectal cancer patients by qPCR. Oncol Lett. 2016;11:1406–1412. doi: 10.3892/ol.2015.4068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hong Q, Fang J, Pang Y, Zheng J. Prognostic value of the microRNA-29 family in patients with primary osteosarcomas. Med Oncol. 2014;31:37–45. doi: 10.1007/s12032-014-0037-1. [DOI] [PubMed] [Google Scholar]
- 14.Park SY, Lee JH, Ha M, Nam JW, Kim VN. MiR-29 miRNAs activate p53 by targeting p85 alpha and CDC42. Nat Struct Mol Biol. 2009;16:23–29. doi: 10.1038/nsmb.1533. [DOI] [PubMed] [Google Scholar]
- 15.Xu H, Cheung IY, Guo HF, Cheung NK. MicroRNA miR-29 modulates expression of immunoinhibitory molecule B7-H3: potential implications for immune based therapy of human solid tumors. Cancer Res. 2009;69:6275–6281. doi: 10.1158/0008-5472.CAN-08-4517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wang HY, Yan LX, Shao Q, Fu S, Zhang ZC, Ye W, et al. Profiling plasma microRNA in nasopharyngeal carcinoma with deep sequencing. Clin Chem. 2014;60:773–782. doi: 10.1373/clinchem.2013.214213. [DOI] [PubMed] [Google Scholar]
- 17.Gao J, Shao Z, Yan M, Fu T, Zhang L, Yan Y. Targetedregulationof STAT3 by miR-29a in mediating taxol resistance of nasopharyngeal carcinoma cell line CNE-1. Cancer Biomark. 2018;22:6441–648. doi: 10.3233/CBM-170964. [DOI] [PubMed] [Google Scholar]
- 18.Qiu F, Sun R, Deng N, Guo T, Cao Y, Yu Y, et al. MiR-29a/b enhances cell migration and invasion in nasopharyngeal carcinoma progression by regulating SPARC and COL3A1 gene expression. PLoS One. 2015;10:1–22. doi: 10.1371/journal.pone.0120969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Chen L, Xiao H, Wang ZH, Huang Y, Liu ZP, Ren H, et al. MiR-29a suppresses growth and invasion of gastric cancer cells in vitro by targeting VEGF-A. BMB reports. 2014;47:39–44. doi: 10.5483/BMBRep.2014.47.1.079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Chen J. Roles of the PI3K/Akt pathway in Epstein-Barr virus-induced cancers and therapeutic implications. World J Virol. 2012;1:154–161. doi: 10.5501/wjv.v1.i6.154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pencik J, Pham HT, Schmoellerl J, Javaheri T, Schlederer M, Culig Z, et al. JAK-STAT signaling in cancer: From cytokines to non-coding genome. Cytokine. 2016;87:26–36. doi: 10.1016/j.cyto.2016.06.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Shen H, Yao Z, Zhao W, Zhang Y, Yao C, Tong C. miR-21 enhances the protective effect of loperamide on rat cardiomyocytes against hypoxia/reoxygenation, reactive oxygen species production and apoptosis via regulating Akap8 and Bard1 expression. Exp Ther Med. 2019;17:1312–1320. doi: 10.3892/etm.2018.7047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ko JY, Lee MS, Lian WS, Weng WT, Sun YC, Chen YS, et al. MicroRNA-29a counteracts synovitis in knee osteoarthritis pathogenesis by targeting VEGF. Sci Rep. 2017;7:3584–3598. doi: 10.1038/s41598-017-03616-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Meng H, Zhu X, Li L, Liang Z, Li X, Pan X, et al. Identification of CALM as the potential serum biomarker for predicting the recurrence of nasopharyngeal carcinoma using a mass spectrometry-based comparative proteomic approach. Int J Mol Med. 2017;40:1152–1164. doi: 10.3892/ijmm.2017.3094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Deng B, Su F, Xie R, Tang W. MiR-371-5p suppresses the proliferative and migratory capacity of human nasopharyngeal carcinoma by targeting BCL2. Oncol Lett. 2018;15:9209–9215. doi: 10.3892/ol.2018.8481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Jiang N, Jiang X, Chen Z, Song X, Wu L, Zong D, et al. MiR-203a-3p suppresses cell proliferation and metastasis through inhibiting LASP1 in nasopharyngeal carcinoma. J Exp Clin Cancer Res. 2017;36:138–148. doi: 10.1186/s13046-017-0604-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Qu R, Sun Y, Li Y, Hu C, Shi G, Tang Y, et al. MicroRNA-130a-3p suppresses cell viability, proliferation and invasion in nasopharyngeal carcinoma by inhibiting CXCL12. Am J Transl Res. 2017;9:3586–3598. [PMC free article] [PubMed] [Google Scholar]
- 28.Luo Z, Zhang L, Li Z, Li X, Li G, Yu H, et al. An in silico analysis of dynamic changes in microRNA expression profiles in stepwise development of nasopharyngeal carcinoma. BMC Med Genomics. 2012;5:3–15. doi: 10.1186/1755-8794-5-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zhang Y, Yang L, Wang S, Liu Z, Xiu M. MiR-29a suppresses cell proliferation by targeting SIRT1 in hepatocellular carcinoma. Cancer Biomark. 2018;22:151–159. doi: 10.3233/CBM-171120. [DOI] [PubMed] [Google Scholar]
- 30.Liu X, Lv X, Yang Q, Jin H, Zhou W, Fan Q. MicroRNA-29a functions as a tumor suppressor and increases cisplatin sensitivity by targeting NRAS in lung cancer. Technol Cancer Res Treat. 2018;17:1–8. doi: 10.1177/1533033818758905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Shi C, Ren L, Sun C, Yu L, Bian X, Zhou X, et al. MiR-29a/b/c function as invasion suppressors for gliomas by targeting CDC42 and predict the prognosis of patients. Br J Cancer. 2017;117:1036–1047. doi: 10.1038/bjc.2017.255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Li R, Liu J, Li Q, Chen G, Yu X. MiR-29a suppresses growth and metastasis in papillary thyroid carcinoma by targeting AKT3. Tumour Biol. 2016;37:3987–3996. doi: 10.1007/s13277-015-4165-9. [DOI] [PubMed] [Google Scholar]
- 33.Liang C, Shi S, Meng Q, Liang D, Hua J, Qin Y, et al. MiR-29a, targeting caveolin 2 expression, is responsible for limitation of pancreatic cancer metastasis in patients with normal level of serum CA125. Int J Cancer. 2018;143:2919–2931. doi: 10.1002/ijc.31654. [DOI] [PubMed] [Google Scholar]
- 34.Wang SC, Chai DS, Chen CB, Wang ZY, Wang L. HPIP promotes thyroid cancer cell growth, migration and EMT through activating PI3K/AKT signaling pathway. Biomed Pharmacother. 2015;75:33–39. doi: 10.1016/j.biopha.2015.08.027. [DOI] [PubMed] [Google Scholar]
- 35.Slattery ML, Lundgreen A, Kadlubar SA, Bondurant KL, Wolff RK. JAK/STAT/SOCS-signaling pathway and colon and rectal cancer. Mol Carcinog. 2013;52:155–166. doi: 10.1002/mc.21841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Schmitt MJ, Philippidou D, Reinsbach SE, Margue C, Wienecke-Baldacchino A, Nashan D, et al. Interferon-gamma-induced activation of signal transducer and activator of transcription 1 (STAT1) up-regulates the tumor suppressing microRNA-29 family in melanoma cells. Cell Commun Signal. 2012;10:41–55. doi: 10.1186/1478-811X-10-41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Chen DD, Feng LC, Ye R, He YQ, Wang YD. MiR-29b reduces cisplatin resistance of gastric cancer cell by targeting PI3K/Akt Pathway. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2015;37:514–519. doi: 10.3881/j.issn.1000-503X.2015.05.005. [DOI] [PubMed] [Google Scholar]





