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. 2018 Dec 4;11:8729–8740. doi: 10.2147/OTT.S182993

MALAT1 promotes proliferation, migration, and invasion of MG63 cells by upregulation of TGIF2 via negatively regulating miR-129

Kai Liu 1,✉, Yingang Zhang 1, Liang Liu 1, Qiling Yuan 1
PMCID: PMC6287664  PMID: 30584331

Abstract

Purpose

This article aimed to investigate the mechanism by which MALAT1 and miR-129 affected the development of osteosarcoma.

Methods

Tumor tissues and adjacent tissues of 23 osteosarcoma patients were collected. Normal osteoblasts hFOB1.19 and osteosarcoma cells MG63 were cultured. MG63 cells were transfected and grouped: si-negative control (NC) group, si-MALAT1 group, miR-129 NC group, miR-129 mimics group, p-Empty vector group, p-MALAT1 group, p-MALAT1+ miR-129 mimics group, and p-MALAT1+ si-TGIF2 group. Luciferase reporter assay, Cell Counting Kit-8 assay, Transwell assay, quantitative reverse transcription PCR, Western blot, and Pearson correlation analysis were performed.

Results

MALAT1 expression in tumor tissues and MG63 cells was increased (P<0.01). High MALAT1 expression predicted poor prognosis of osteosarcoma patients. MG63 cells of si-MALAT1 group exhibited much lower cell viability, migration, and invasive cell numbers when compared with si-NC group (P<0.01). For MG63 cells of miR-129 mimics group, they had markedly lower cell viability, migration, and invasive cell numbers than miR-129 NC group (P<0.01). miR-129 was targetedly and negatively regulated by MALAT1. TGIF2, which was targetedly and negatively regulated by miR-129, was overexpressed in tumor tissues and MG63 cells (P<0.01). miR-129 overexpresison and TGIF2 downregulation significantly reversed the enhanced cell viability, migration, and invasion induced by MALAT1 (P<0.01).

Conclusion

MALAT1 promotes TGIF2 expression through negative regulation of miR-129, which further promotes the proliferation, migration, and invasion of MG63 cells.

Keywords: MALAT1, miR-129, TGIF2, osteosarcoma, invasion, prognosis

Introduction

Osteosarcoma, a primary malignant bone tumor, often occurs in children and adolescents.1 About 5.6 per million were diagnosed with osteosarcoma according to a 2009 statistic.2 Up to 80% of patients had metastasized when they were first diagnosed with osteosarcoma. Metastasis caused a serious adverse outcome for osteosarcoma patients and absence of metastasis was a key factor in improving patients’ 5-year survival rate.3 Complete cure could not be achieved by traditional treatment methods. Therefore, the discovery of molecular targets is very important for the research of pathogenesis and therapeutic strategies of osteosarcoma.

lncRNAs are a family of RNA molecules, which are composed of >200 nucleotides.4 lncRNAs are located in the cytoplasm and nucleus and they do not possess the ability of encoding proteins.5,6 More and more studies have found that lncRNAs are involved in the regulation of a variety of biological processes, such as cell proliferation, differentiation, migration, and invasion.7,8 Osteosarcoma occurrence and development have also been found to be regulated by a variety of genes, including lncRNAs. For examples, Ma et al9 suggested that lncRNA TUG1 in osteosarcoma tissues was markedly higher than corresponding adjacent tissues. High level of TUG1 is closely related to tumor size and poor prognosis, which might be used as a candidate molecular indicator for monitoring osteosarcoma. Lv et al10 revealed that lncRNA XIST might stimulate osteosarcoma cells proliferation and invasion through directly repressing miR-320b. They proposed XIST to be a biomarker and target for osteosarcoma diagnosis and treatment. Osteosarcoma is a disease usually treated by surgery and a long-course chemotherapy treatment. Previous research had found that, in colorectal cancer, MALAT1 was associated with poor response to oxaliplatin-based chemotherapy.11 Its suppression could also improve diffuse large B-cell lymphoma chemotherapy sensitivity by enhancing autophagy-related proteins.12 However, the relevant mechanism of MALAT1 affecting osteosarcoma progression is still not clear. miRNA is a kind of small non-coding RNA, the aberrant expression of which has been proved to be involved in multiple tumors initiation and progression.13 miR-129 acted as a tumor suppressor in several cancers, including hepatocellular carcinoma, breast cancer, and colon cancer, etc.14–17 Few reports have documented the influence and mechanism of MALAT1 and miR-129 on osteosarcoma progression.

In this paper, we researched the expression of MALAT1 and miR-129 in osteosarcoma and investigated their effects on proliferation, migration, and invasion of osteosarcoma cells. More importantly, the relationship between MALAT1 and miR-129 was also deeply explored in order to provide guidance for molecular therapy of osteosarcoma.

Methods

Clinical samples

This study enrolled 23 osteosarcoma patients, and their tumor tissues and paracancerous normal tissues were obtained. All patients were diagnosed with osteosarcoma for the first time between October 2016 and August 2017, and none of them had received medical treatment or had radiochemical history of osteosarcoma. The clinicopathological characteristics of 23 patients are listed in Table 1. The study was conducted with the approval of all patients and the Ethics Committee of our hospital.

Table 1.

The relationship between patients’ clinicopathological characteristics and MALAT1 expression level

Clinicopathological characteristics MALAT1 expression (mean ± SD) t-value P-value
Gender −0.76 0.46
 Male (n=13) 2.62±0.26
 Female (n=10) 2.71±0.31
Age 2.74 0.01*
 <10 years (n=18) 2.94±0.41
 >10 years (n=5) 2.39±0.34
Lymph node metastasis 2.53 0.02*
 Positive (n=6) 2.86±0.35
 Negative (n=17) 2.51±0.27
Tumor size −2.45 0.02*
 <2 cm3 (n=15) 2.31±0.46
 >2 cm3 (n=8) 2.77±0.36
Infiltration 2.30 0.03*
 Positive (n=7) 2.65±0.40
 Negative (n=16) 2.29±0.32
Differentiation 2.526 0.021*
 Low-medium (n=12) 2.72±0.45
 High (n=9) 2.25±0.38
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Note:

*

P<0.05.

Cell culture

Normal osteoblasts (hFOB1.19) and osteosarcoma cells (MG63) were purchased from Cell Resource Center of Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences. All cells were cultured in DMEM supplemented with 10% FBS and were maintained in a 5% CO2 incubator. It should be noted that the culture environment of hFOB1.19 cells was 34°C whereas MG63 cells were cultured at 37°C.

Cell transfection

MG63 cells were maintained in 6-well plates at a density of 1 × 105 cells/mL. When the confluence reached 40%–60%, the cells were transfected by MALAT1 siRNA (si-negative control [NC] group), MALAT1 siRNA NC (si-MALAT1 group), miR-129 mimics (miR-129 NC group), and miR-129 NC (miR-129 mimics group). All transfection plasmids were purchased from Shanghai GenePharma Co., Ltd. (Shanghai, China). In addition, MALAT1 overexpression vector and its empty vector were also constructed (Shanghai Jima Gene Co., Ltd., Shanghai, China) to transfect MG63 cells, which were named as p-MALAT1 group and p-Empty vector group, respectively. Meanwhile, MG63 cells were subjected to co-transfection by MALAT1 overexpression vector and miR-129 mimics (p-MALAT1+ miR-129 mimics group) or by MALAT1 overexpression vector and TGIF2 siRNA (p-MALAT1+ si-TGIF2 group). All transfections were carried out by using Lipfectamine 2000 transfection kit (Thermo Fisher Scientific, Waltham, MA, USA) according to the instructions. Cells of each group were collected for 48 hours after transfection.

Luciferase reporter gene assay

The binding sites of MALAT1 and miR-129 were 3′UTR region according to Starbase online prediction software. The wild-type (WT) and mutant-type (MT) of miR-129 sequences containing MALAT1 3′UTR binding sites were designed by Shanghai Jima Gene Co., Ltd. All sequences were constructed into pmirGLO vector (Promega Corporation, Fitchburg, WI, USA). MG63 cells were pre-transfected with MALAT1 siRNA or its NC, and subsequently transfected with WT miR-129 vector or MT miR-129 vector. Furthermore, the binding sites of TGIF and miR-129 were also predicted by Target Scan, and these two genes were combined in 3′UTR region. TGIF2 WT and MT containing miR-129 3′UTR sequences were obtained from Shanghai Jima Gene Co., Ltd. They were incorporated into pmirGLO vector to transfect MG63 cells after these cells were transfected with miR-129 mimics or miR-129 NC. All cells were incubated in the incubator for 48 hours at 37°C, 5% CO2. Luciferase activity was measured by using Dual-luciferase Reporter Assay Kit (Promega).

Cell Counting Kit-8 (CCK-8) assay

MG63 cells were seeded in 96-well plates (1 × 105 cells/mL), with 100 µL cell suspension in each well. After being incubated for 24, 48, 72, and 96 hours at 37°C, 5% CO2, the cells were incubated again for 2 hours after adding 10 µL CCK-8 solution into each well. OD 450 value of each well was measured by ELISA. In this study, normal MG63 cells were set as Control group. Cell viability of other groups was considered as the percentage of Control group.

Transwell assay

Invasion ability was measured with 24-well Transwell chamber. The upper chamber was pre-coated with a layer of Matrigel. DMEM containing 10% FBS was added into the lower chamber, while a total of 2 × 104 MG63 cells were inoculated in the upper chamber. Cells were cultured at 37°C, 5% CO2 for 24 hours. Then cells on the upper layer of the membrane were gently wiped off with a cotton swab, and those on the lower layer of the membrane were fixed by formaldehyde for 5 minutes. After being stained with crystal violet (0.1%) for 10 minutes, the cells on the lower layer of the membrane were observed under a microscope and five fields were randomly selected to count invading cell numbers.

Migration ability was also detected by using the same procedure mentioned before, but the upper chamber was without Matrigel.

Quantitative reverse transcription (qRT)-PCR

Trizol reagent (Thermo Fisher Scientific) was used to extract total RNA in tissues and cells according to the instructions. Reverse Transcription Kit (Promega) was used to synthesize cDNA templates. qRT-PCR was conducted under the following conditions by applying the Fast Start Universal SYBR Green Master (Roche, Palo Alto, CA, USA): initial denaturation at 94°C for 2 minutes, followed by 40 cycles of 94°C for 20 seconds, 58°C for 30 seconds, and 72°C for 30 seconds. Relative expression of candidate genes was calculated by 2-∆∆CT method. Primers involved in this article were as follows: MALAT1-F, 5′-GGGTGTTTACGTAGACCAGAACC-3′, MALAT1-R, 5′-CTTCCAAAAGCCTTCTGCCTTAG-3′. miR-129-F, 5′-GTTGGGGAGATTTAGTTTGTT-3′, miR-129-R, 5′-CCTACTCCAATTCCCCCTATAATAC-3′, U6-F, 5′-CTCGCTTCGGCAGCACATATACT-3′, U6-R, 5′-ACGCTTCACGAATTTGCGTGTC-3′, TGIF2-F, 5′-GTACTTGCACCGCTACAACG-3′, TGIF2-R, 5′-GG CATTGATGAACCAGTTAC-3′, GAPDH-F, 5′-GTCGA TGGCTAGTCGTAGCATCGAT-3′, GAPDH-R, 5′-TG CTAGCTGGCATGCCCGATCGATC-3′. MALAT1 and miR-129 expression was normalized to U6, while TGIF2 expression was normalized to glyceraldehyde-3-phosphate dehydrogenase (GAPDH).

Western blot analysis

Tissues (ground in liquid nitrogen) and cells were lysed by RIPA buffer to collect total protein. Bicinchoninic Acid Protein Assay Kit (Pierce, Rockford, IL, USA) was applied to determine the concentration of these protein samples. Protein samples were transferred onto polyvinylidene difluoride membranes after being separated by SDS-PAGE. These membranes were exposed to 5% skim milk for 2 hours before being incubated with primary antibody (mouse anti-rabbit TGIF2 antibody, 1:1,000, Santa Cruz, Dallas, TX, USA) and secondary antibody (goat anti-mouse IgG secondary antibody, 1:5,000; Zhongshang Jinqiao Biotechnology Co., Ltd., Beijing, China). Kodak film developer (Fujifilm, Tokyo, Japan) was selected to detect immunoblots. GAPDH was set as internal control.

Statistical analyses

SPSS 19.0 was used to process data in this study and all data were presented in the form of mean ± SD. The differences between two groups were compared by t-test and one-way ANOVA was used to compare differences among multiple groups. Correlation analysis of two genes expression was performed using Pearson correlation analysis. P<0.05 was considered statistically significant. In this paper, all experiments were repeated three times.

Ethics approval and consent to participate

This study was conducted after obtaining the ethical committee approval of The First Affliated Hospital of Xi’an Jiaotong University and written informed consent from the patients and complies with the Declaration of Helsinki.

Results

Upregulated MALAT1 in osteosarcoma predicted poor prognosis

qRT-PCR was conducted to determine MALAT1 expression in tissues and cells. The results showed significantly increased MALAT1 relative expression in osteosarcoma tumor tissues than that in adjacent tissues (P<0.01) (Figure 1A). At the same time, we also analyzed the relationship between patients’ clinicopathological characteristics and MALAT1 level. As shown in Table 1, patients’ gender was not a factor that affected MALAT1 expression. However, low age, positive lymph node metastasis and infiltration, large tumor size, and low-medium differentiation were significantly associated with high MALAT1 expression level (P<0.05), indicating that high MALAT1 expression predicted poor prognosis of osteosarcoma patients. In addition, MALAT1 relative expression in MG63 cells was also remarkably higher than that found in hFOB1.19 cells (P<0.01) (Figure 1B).

Figure 1.

Figure 1

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MALAT1 was upregulated in osteosarcoma tumor tissues and MG63 cells.

Notes: (A) MALAT1 relative expression was significantly increased in osteosarcoma tumor tissues compared with adjacent tissues. (B) MALAT1 relative expression was significantly increased in normal osteoblastic cells (hFOB1.19) compared with in osteosarcoma cells (MG63). **P<0.01.

MALAT1 promoted MG63 cells proliferation, migration, and invasion

MG63 cells were transfected by MALAT1 siRNA and its NC. Compared with si-NC group, MALAT1 relative expression in MG63 cells of si-MALAT1 group was significantly decreased (P<0.01) (Figure 2A). CCK-8 assay revealed markedly lower cell viability of MG63 cells in si-MALAT1 group than that found in si-NC group at 48–96 hours (P<0.01) (Figure 2B). In addition, the number of migrating and invading cells of si-MALAT1 group was remarkably decreased when compared with si-NC group (P<0.01) (Figure 2C and D). Silencing of MALAT1 markedly inhibited MG63 cells proliferation, migration, and invasion ability.

Figure 2.

Figure 2

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MALAT1 promoted MG63 cells proliferation, migration, and invasion.

Notes: (A) MALAT1 relative expression in si-MALAT1 group was significantly decreased compared with si-NC group. (B) Silencing of MALAT1 significantly decreased MG63 cells viability. (C) Silencing of MALAT1 remarkably decreased MG63 cells migration ability (200× magnification). (D) Silencing of MALAT1 remarkably decreased MG63 cells invasion ability (200× magnification). **P<0.01.

Abbreviation: NC, negative control.

miR-129 inhibited proliferation, migration, and invasion of MG63 cells

miR-129 relative expression in tumor tissues was much lower than that in adjacent tissues (P<0.01) (Figure 3A). At the same time, significantly declined miR-129 relative expression was found in MG63 cells when compared with that found in hFOB1.19 cells (P<0.01) (Figure 3B). Transfection with miR-129 mimics successfully increased the expression level of miR-129 in MG63 cells (P<0.01) (Figure 3C). Furthermore, MG63 cells of miR-129 mimics group exhibited significantly lower MG63 cells viability, migration, and invasion ability than that of miR-129 NC group (P<0.01) (Figure 3D–F).

Figure 3.

Figure 3

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miR-129 inhibited proliferation, migration, and invasion of MG63 cells.

Notes: (A) miR-129 relative expression in tumor tissues was much lower than that found in adjacent tissues. (B) Significantly declined miR-129 relative expression was found in MG63 cells when compared with that found in hFOB1.19 cells. (C) The relative expression of miR-129 was markedly higher in MG63 cells of the miR-129 mimics group than that of the miR-129 NC group. (D) Overexpression of miR-129 significantly impaired MG63 cells viability. (E) Overexpression of miR-129 significantly impaired MG63 cells migration ability (200× magnification). (F) Overexpression of miR-129 significantly impaired MG63 cells invasion ability (200× magnification). **P<0.01.

Abbreviation: NC, negative control.

miR-129 was targetedly and negatively regulated by MALAT1

Correlation analysis between MALAT1 and miR-129 expression in tumor tissues was investigated. The result indicated an obviously negative correlation between MALAT1 and miR-129 expression levels (P<0.01) (Figure 4A). After being transfected by MALAT1 siRNA or its NC, miR-129 relative expression in MG63 cells of si-MALAT1 group was significantly higher than that of si-NC group (P<0.01) (Figure 4B). Starbase online prediction results showed that MALAT1 was directly bound to miR-129 at 3′UTR region. The binding site is shown in Figure 4C. Luciferase reporter gene assay also demonstrated significantly increased relative luciferase activity in WT+ si-MALAT1 group when compared with WT+ si-NC group (P<0.01). However, no statistical significance was found in relative luciferase activity between MT+ si-MALAT1 group and MT+ si-NC group (Figure 4D). All these results indicated that miR-129 was directly and negatively regulated by MALAT1.

Figure 4.

Figure 4

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miR-129 was targetedly and negatively regulated by MALAT1.

Notes: (A) Negative correlation between MALAT1 and miR-129 expression levels was found by Pearson correlation analysis. (B) miR-129 relative expression in MG63 cells of si-MALAT1 group was significantly higher than that of si-NC group. (C) MALAT1 directly binds to miR-129 at 3′UTR region. (D) Luciferase reporter gene assay further confirmed that miR-129 was directly and negatively regulated by MALAT1. **P<0.01.

Abbreviations: MT, mutant-type; NC, negative control; WT, wild-type.

TGIF2 was upregulated in osteosarcoma tumor tissues and MG63 cells, and its expression might be affected by MALAT1 and miR-129

As shown in Figure 5A and B, the relative expression of TGIF2 mRNA and protein in osteosarcoma tumor tissues was dramatically higher than those in adjacent tissues (P<0.01). Meanwhile, when compared with hFOB1.19 cells, MG63 cells had much higher TGIF2 mRNA and protein relative expression (P<0.01) (Figure 5C and D). Pearson correlation analysis revealed that there was a positive correlation between TGIF2 mRNA and MALAT1 expression (P<0.01), while a negative correlation was observed between TGIF2 mRNA and miR-129 expression (P<0.05) (Figure 5E and F).

Figure 5.

Figure 5

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TGIF2 was upregulated in osteosarcoma tumor tissues and MG63 cells, and its expression might be affected by MALAT1 and miR-129.

Notes: (A) TGIF2 mRNA relative expression in osteosarcoma tumor tissues was higher than that found in adjacent tissues. (B) TGIF2 protein relative expression in osteosarcoma tumor tissues was higher than that found in adjacent tissues. (C) TGIF2 mRNA relative expression in MG63 cells was increased when compared with hFOB1.19 cells. (D) TGIF2 protein relative expression in MG63 cells was increased when compared with hFOB1.19 cells. (E) There was a positive correlation between TGIF2 mRNA and MALAT1 expression. (F) A negative correlation was observed between TGIF2 mRNA and miR-129 expression. **P<0.01.

Abbreviation: GAPDH, glyceraldehyde-3-phosphate dehydrogenase.

TGIF2 was directly and negatively regulated by miR-129

Compared with miR-129 NC group, MG63 cells of miR-129 mimics group had significantly lower TGIF2 mRNA and protein relative expression (P<0.01) (Figure 6A and B). We speculated that TGIF2 might be regulated by miR-129. Therefore, Target Scan online forecasting was used to verify this speculation. As seen in Figure 6C, miR-129 was directly bound to TGIF2 at 3′UTR region. Luciferase reporter assay suggested that there was no statistical significance in luciferase activity between MT+ NC group and MT+ mimics group. However, the luciferase activity was found to be significantly decreased in the WT+ mimics group when compared with the WT+ NC group (P<0.01) (Figure 6D), indicating that TGIF2 was targetedly and negatively regulated by miR-129.

Figure 6.

Figure 6

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TGIF2 was negatively regulated by miR-129.

Notes: (A) MG63 cells of miR-129 mimics group had significantly lower TGIF2 mRNA relative expression than miR-129 NC group. (B) MG63 cells of miR-129 mimics group had significantly lower TGIF2 protein relative expression than miR-129 NC group. (C) miR-129 directly binds to TGIF2 at 3′UTR region. (D) TGIF2 was targetedly and negatively regulated by miR-129 according to luciferase reporter assay. **P<0.01.

Abbreviations: GAPDH, glyceraldehyde-3-phosphate dehydrogenase; MT, mutant-type; NC, negative control; PCT, probability of conserved targeting; WT, wild-type.

MALAT1 promoted proliferation, migration, and invasion of MG63 cells by upregulating TGIF2 via negatively regulating miR-129

This research still studied the interaction mechanism of MALAT1, miR-129, and TGIF2 affecting osteosarcoma progression. When compared with p-Empty vector group, p-MALAT1+ miR-129 mimics group, and p-MALAT1+ si-TGIF2 group, significantly increased TGIF2 mRNA and protein relative expression could be seen in p-MALAT1 group (P<0.01) (Figure 7A and B). From 48 to 96 hours, the cell viability of p-MALAT1 group was much higher than the other three groups (P<0.01) (Figure 7C). Moreover, the number of migration and invasion cells of p-MALAT1 group was the highest, which was markedly higher than that of the other three groups (P<0.01) (Figure 7D and E). Thus, MALAT1 promoted proliferation, migration, and invasion of MG63 cells by upregulating TGIF2 via negatively regulating miR-129.

Figure 7.

Figure 7

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MALAT1 promoted proliferation, migration, and invasion of MG63 cells by upregulating TGIF2 via negatively regulating miR-129.

Notes: (A) Significantly increased TGIF2 mRNA relative expression was found in p-MALAT1 group compared with the other three groups. (B) Significantly increased TGIF2 protein relative expression could be seen in p-MALAT1 group compared with the other three groups. (C) From 48 to 96 hours, the cell viability of p-MALAT1 group was much higher than the other three groups. (D) The number of migration cells of p-MALAT1 group was markedly higher than the other three groups (200× magnification). (E) The number of invasion cells of p-MALAT1 group was dramatically higher than the other three groups (200× magnification). **P<0.01 when compared with the other three groups.

Abbreviation: GAPDH, glyceraldehyde-3-phosphate dehydrogenase.

Discussion

Rapid growth and metastasis of osteosarcoma was the leading cause of death.18 The discovery of effective prognostic factors and therapeutic targets are important tasks in improving the prognosis of patients with osteosarcoma. The regulation effect of lncRNAs in various tumors has attracted the attention of researchers. lncRNA MALAT1 is located on chromosome 11q13, which has been pointed out to be involved in the regulation of multiple cancers.19 Tee et al20 suggested that, under hypoxic conditions, overexpression of MALAT1 stimulated tumor-driven angiogenesis by promoting fibroblast growth factor 2 expression and vasculature formation. In gastric cancer, high MALAT1 expression predicted deep tumor invasion.21 Jadaliha et al22 considered that MALAT1 was a metastasis driver, which could also serve as a prognostic marker for breast cancer patients. High level of MALAT1 was still closely related to shorter survival rate in nephrectomy patients.23,24 Existing literatures have also found abnormal expression of MALAT1 in osteosarcoma. Through Kaplan–Meier survival analysis, Huo et al3 reported that high serum MALAT1 expression of osteosarcoma patients exhibited declined survival rate, and MALAT1 promoted migration of osteosarcoma cells and invasion by negatively regulating EZH2. Li et al25 illustrated that upregulation of MALAT1 was related to unfavorable prognosis in osteosarcoma patients. MALAT1 could also enhance proliferation of osteosarcoma cells by inhibiting miR-205 and stimulating SMAD4. In this study, we observed that MALAT1 was aberrantly overexpressed in osteosarcoma tissues and cells, which enhanced osteosarcoma cells proliferation, migration, and invasion by upregulating TGIF2 via suppressing miR-129.

miR-129 acted as a tumor suppressor in a variety of cancers, such as glioma, gastric cancer, and renal cell carcinoma.26–28 In this study, miR-129 was downregulated in osteosarcoma tissues and cells, and the proliferation, migration, and invasion ability of osteosarcoma cells was remarkably decreased after miR-129 was overexpressed. A previous study has also shown that osteosarcoma cells with high miR-129 expression had decreased migration and invasion ability.29 Several articles also reported the relationship between MALAT1 and miR-129 in tumors. For example, Zuo et al30 demonstrated that MALAT1 promoted the progression of triple-negative breast cancer cells through mediating the expression of miR-129. In colon cancer, miR-129 was found to be directly regulated by MALAT1. MALAT1 could cause extremely elevated expression of HMGB by sponging miR-129, thereby promoting the progression of colon cancer.16 Other studies have also reported that MALAT1/miR-129 axis could be used as candidate biomarker in glioma.31 Currently, only one published literature was found to have studied the relationship between miR-129 and MALAT1 in osteosarcoma. Liu et al32 found that MALAT1 promoted osteosarcoma cells growth through suppression of miR-129 expression. Our study further revealed that in osteosarcoma, miR-129 was negatively and targetedly regulated by MALAT1.

TGIF2 acts as an oncogene, the upregulation of which was first discovered in ovarian cancer.33 It has also been confirmed to be upregulated in many malignant tumors, including multiple myeloma cancer, non-small-cell lung cancer, prostate cancer, and so on.33–35 Accumulated studies have found that TGIF2 was regulated by multiple miRNAs in tumors. It could be negatively regulated by miR-34 in gastric and breast cancer, and multiple myeloma.34,36,37 In non-small-cell lung cancer, TGIF2 was targeted and inhibited by miR-541-3p. It reversed the inhibition of growth and metastasis of non-small lung cancer cells induced by miR-541-3p overexpression.33 In glioma, TGIF2 expression was also found to be inhibited by miR-129,38 which was similar to the findings of this study.

There was a limitation in this research. We performed correlation analysis of expression relationships between MALAT1 and miR-129 or TGIF2 by Pearson correlation analysis. However, some potential interfering causes might also affect the correlation between these genes expression. Due to some limitations, we are currently unable to conduct related research. This will be further explored in our future research.

Conclusion

MALAT1 was upregulated in osteosarcoma tissues and cells, which enhanced osteosarcoma cells proliferation, migration, and invasion by upregulating TGIF2 via suppression of miR-129. Therefore, MALAT1 might be a new potential target for diagnosis and treatment of osteosarcoma.

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

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