Literature DB >> 33116856

LncRNA MALAT1 Regulates the Progression and Cisplatin Resistance of Ovarian Cancer Cells via Modulating miR-1271-5p/E2F5 Axis.

Yuqin Wang1, Xiuying Wang1, Liwei Han1, Dongdong Hu1.   

Abstract

BACKGROUND: Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) were reported to be related to the development of ovarian cancer (OC). In this study, the functional mechanisms of lncRNA metastasis associated with lung adenocarcinoma transcript 1 (MALAT1) and microRNA-1271-5p (miR-1271-5p) were explored in OC.
METHODS: The level of MALAT1, miR-1271-5p, or E2F transcription factor 5 (E2F5) was detected by qRT-PCR. MTT assay, flow cytometry analysis and transwell migration and invasion assays were performed to determine cell proliferation, apoptosis, migration and invasion, respectively. E2F5 protein expression was detected by Western blot. The interaction between miR-1271-5p and MALAT1 or E2F transcription factor 5 (E2F5) was confirmed by the dual-luciferase reporter assay.
RESULTS: MALAT1 and E2F5 level were increased, while miR-1271-5p level was decreased in cisplatin (DDP)-resistant OC tissues and cells. MALAT1 knockdown or miR-1271-5p upregulation decreased IC50 of cisplatin, and inhibited cell proliferation, migration, invasion, and facilitated cell apoptosis in DDP-resistant OC cells. Moreover, MALAT1 sponged miR-1271-5p to upregulate E2F5 expression. Besides, MALAT1 knockdown decreased DDP resistance, inhibited cell proliferation, migration, invasion, and promoted cell apoptosis by sponging miR-1271-5p to downregulate E2F5 expression in DDP-resistant OC cell.
CONCLUSION: We demonstrated that MALAT1 mediated DDP-resistant OC development through miR-1271-5p/E2F5 axis, providing the theoretical basis for OC therapy.
© 2020 Wang et al.

Entities:  

Keywords:  E2F5; MALAT1; cisplatin; miR-1271-5p; ovarian cancer

Year:  2020        PMID: 33116856      PMCID: PMC7567574          DOI: 10.2147/CMAR.S261979

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Ovarian cancer (OC) is one of the most lethal tumors in female with approximately 140,000 deaths per year.1 Over 70% of OC patients were diagnosed at advanced stage, and the 5-year-survival rate was low in OC patients.2,3 Nowadays, the combination of surgery and chemotherapy is an effective method for OC therapy. Cisplatin (DDP) is considered as a good chemotherapeutic agent to repress the development of OC.4 However, it is easy to generate DDP resistance for OC patients. Thus, it is of great significance to explore the regulatory mechanism of drug resistance in OC. Long noncoding RNAs (lncRNAs), with more than 200 nucleotides in length, are defined as a conserved family in RNAs that modulate the levels of downstream genes through various methods, such as epigenetic modification, transcriptional regulation, or post-transcriptional regulation.5 Amounting evidence demonstrated that lncRNAs were related to drug resistance in multiple human cancers, including glioma,6 breast cancer,7 colorectal cancer,8 and ovarian cancer.9 For instance, lncRNA metastasis associated with lung adenocarcinoma transcript 1 (MALAT1) depletion enhanced chemo-sensitivity of OC cells against DDP by regulating the Notch1 pathway.10 This result suggested that MALAT1 exerted an important role in DDP-induced OC development. However, the functional mechanism of MALAT1 in DDP-regulated OC progression is not fully clear. MicroRNAs (miRNAs) are a group of small noncoding RNAs with about 20 nucleotides that affect the level of target genes through suppressing transcription or inducing the degradation of mRNAs.11 Previous studies indicated that the levels of miRNAs were abnormally expressed in various human cancers, revealing that miRNAs can be considered as a type of biomarkers for the diagnosis of cancers.12,13 MicroRNA-1241-5p (MiR-1271-5p), an endogenous miRNA, was lowly expressed in OC tissues according to the reporter in 2014.14 Moreover, miR-1271 repressed the growth of OC cells and weakened cell resistance to DDP.15,16 More importantly, a previous study indicated that MALAT1 could target miR-1271-5p to participate in the tumorigenesis of multiple myeloma.17 However, the role and underlying mechanism of miR-1271-5p in DDP resistance of OC cells is largely unknown. E2F transcription factor 5 (E2F5) belongs to E2F family that plays an important role through modulating the levels of downstream genes in various cell progression, such as cell proliferation, mobility, and apoptosis.18,19 Increasing studies demonstrated that the main function of E2F5 was related to the promotion of cell cycle.20 E2F5 was upregulated in OC, and E2F5 promoted cell proliferation, mobility, and induced apoptosis.20–22 Moreover, the data showed that miR-1271-5p suppressed E2F5 to inhibit OC progression.23 These data indicated that E2F5 was a positive regulator for the development of OC. However, whether E2F5 was involved in DDP-resistance of OC progression is unclear. In this study, we measured MALAT1, miR-1271-5p, and E2F5 expression in DDP-resistant OC tissues and cells. Furthermore, the functions of MALAT1 and miR-1271-5p in DDP-resistant cells were explored. Moreover, we investigated the association between miR-1271-5p and MALAT1 or E2F5. Besides, we explored whether MALAT1 regulated miR-1271-5p and E2F5 to modulate DDP-resistant OC progression.

Materials and Methods

Samples Collection and Cell Culture

Twenty-five tumor-responsive OC tissues and 34 tumor-resistant OC tissues were obtained from patients with or without DDP resistance at the hospital of The First People’s Hospital of Lianyungang. The clinicopathologic features of OC patients with DDP resistance are presented in Table 1. The research was approved by the Ethics Committee of The First People’s Hospital of Lianyungang. All patients in this research signed informed contents and consent was obtained from the study participants prior to study commencement (approval number: 2019年审 (33) 号).
Table 1

The Clinicopathologic Features of OC Patients with DDP Resistance

ParametersGroupsNumbers (n = 34)
Age≤5012
>5022
TNM stageI+II16
III+IV18
Tumor size≤4cm15
>4cm19
Lymph node metastasisNegative20
Positive14
The Clinicopathologic Features of OC Patients with DDP Resistance SKOV3 and OVCAR3 cell lines were bought from Biomedical Science cell bank (Shanghai, China). Complete Dulbecco’s Modified Eagle Medium (Gibco, Carlsbad, CA, USA) containing 10% fetal bovine serum (FBS, Thermo Fisher Scientific, Waltham, MA, USA) was used to culture cells at 37°C with 5% CO2. To generate DDP-resistant OC cells, SKOV3 and OVCAR3 cells were induced by DDP purchased from Sigma-Aldrich (St Louis, MO, USA). To generate SKOV3/DDP and OVCAR3/DDP cells, TSKOV3 and OVCAR3 cells were treated with DDP (0.1, 0.2, 0.5, 1 and 2 µg/mL) and the treatment was repeated 5 times for each concentration. After culture for 48 h, the medium was discarded and the fresh medium was added. After 12 months, the stable OC cell lines SKOV3/DDP and OVCAR3/DDP resistant to DDP were constructed at 2 µg/mL, and the cell lines were cryopreserved in liquid nitrogen. This research was carried out in accordance with the World Medical Association Declaration of Helsinki*.

Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR)

Total RNA was isolated from tissues and cells using Trizol reagent (Invitrogen, Carlsbad, CA, USA). Complementary DNA (cDNA) was acquired through Prime Script TM RT reagent kit (Takara, Dalian, China) complying with the constructor’s instruction. The PCR reaction was performed using SYBR® Premix Ex Taq™ II Kit (Takara) and conducted using ABI Step One Real-time PCR System (Thermo Fisher Scientific). Data were analyzed by the 2−∆∆Ct approach and normalized by Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and U6. The primers (Sangon, Shanghai, China) were listed as follows: GTGTGCCAATGTTTCGTTTG (sense) and AGGAGAAAGTGCCATGGTTG (antisense) for MALAT1, CAGCACTTGGCACCTAGCA (sense) and TATGGTTGTTCTCCTCTCTGTCTC (antisense) for miR-1271-5p, CGGCGTTCTGGATCTCAA (sense) and CAATTCCCTCTAAGACATTGGTG (antisense) for E2F5, TGCGGGTGCTCGCTTCGGCAGC (sense) and CCAGTGCAGGGTCCGAGGT (antisense) for U6, ATCACTGCCACCCAGAAGAC (sense) and TTTCTAGACGGCAGGTCAGG (antisense) for GAPDH.

Cell Transfection

siRNA targeting MALAT1 (si-MALAT1#1 and si-MALAT1 #2), siRNA negative control (si-NC), pcDNA, and E2F5 were bought from Genepharma (Shanghai, China). miR-1271-5p mimics (miR-1271-5p) and miR-NC, and miR-1271-5p inhibitor (anti-miR-1271-5p) and anti-miR-NC were purchased from RIBOBIO (Guangzhou, China). Cell transfection was performed using Lipofectamine 3000 (Invitrogen).

MTT Assay

SKOV3/DDP and OVCAR3/DDP cell viability was determined by MTT Kit (Beyotime, Shanghai, China). The cells were added with 10 μL MTT for 4 h and incubated with dimethyl sulfoxide (DMSO) (Sigma-Aldrich) for 2 h. The optical density (OD) value was determined at 490 nm using a spectrophotometer.

Cell Apoptosis Assay

Cell apoptotic rate was detected via flow cytometry. 2 × 105 cells transfected SKOV3/DDP and OVCAR3/DDP cells were placed into 6-well plates. Then, cells were harvested and incubated in binding buffer. Cells were incubated with Annexin V-fluorescein isothiocyanate (FITC) and propidium iodide (PI) (Solarbio) for 15 min. Finally, cell apoptosis was measured using a flow cytometer (Agilent, Hangzhou, China). The apoptotic rate was presented as the percentage of cells (Annexin V-FITC+ and PI±).

Transwell Assessment

To detect the migrated ability, cells (1 × 104 cells/well) in medium without serum were seeded into the upper chambers (Costar, Corning, NY, USA). The medium containing 10% serum was added in lower chamber. After 24 h, cells were fixed, stained with 0.5% crystal violet (Beyotime), and counted. Three random fields were selected. For invasion assay, cells (5 × 104 cells/well) were placed into the upper chambers pre-coated with Matrigel (BD Bioscience, San Jose, CA, USA), and the other procedures were same as those in migration assay.

Dual-Luciferase Reporter Assay

The wild type and mutant type of MALAT1 or E2F5 3ʹUTR (MALAT1-WT/MUT or E2F5 3ʹUTR-WT/MUT) were cloned into pGL3 vector (Promega), and then co-transfected into SKOV3/DDP and OVCAR3/DDP cells with miR-1271-5p or miR-NC. The luciferase activity was determined by the dual-luciferase assay system (Promega) in line with the recommended protocol.

Western Blot Assay

The protein was quantified via NanoDrop Spectrophotometer and adjusted the concentration to 5 μg/μL. 10 μL of protein samples were loaded on each lane and subjected to SD-PAGE. Then, the protein was transferred onto the nitrocellulose membranes (Bio-Rad, Hercules, CA, USA). Membranes were incubated with the primary antibodies overnight at 4°C and secondary antibody for 2 h. The antibodies included anti-E2F5 (1:1000, ab22855, Abcam, Cambridge, MA, USA), anti-GAPDH (1:2500, ab181602, Abcam) and horseradish peroxidase-conjugated IgG (ab205718, 1:20,000 dilution). The signals were observed using enhanced chemiluminescence (Thermo Fisher) and exposed to X-ray films. The gray values of bands were measured and the relative protein abundance was normalized to GAPDH expression.

Statistical Analysis

Statistical analysis was conducted via GraphPad Prism 6 software (GraphPad, La Jolla, CA, USA). Data were presented as mean ± standard deviation and analyzed by SPSS 22.0 with at least three repeats for each experiment. Difference between the two groups was compared by Student’s t-test, and difference among more than two groups was analyzed via ANOVA followed by Tukey’s post hoc test. Pearson correlation analysis was used to analyze the interaction relationship between variables. P<0.05 was considered as statistically significant.

Results

MALAT1 is Enhanced in DDP-Resistant OC Tissues and Cells

qRT-PCR assay demonstrated that MALAT1 expression was upregulated in DDP-resistant OC tissues (Figure 1A and ). As exhibited in Figure 1B and , IC50 of DDP in resistant cells was apparently elevated compared with SKOV3 and OVCAR3 cells. Then, we detected the level of MALAT1 in DDP-resistant OC cells. As expected, MALAT1 level was remarkably increased in SKOV3/DDP and OVCAR3/DDP cells (Figure 1C). Therefore, MALAT1 might act as an oncogene in DDP-resistant OC development.
Figure 1

MALAT1 expression in DDP-resistant OC tissues and cells. (A) MALAT1 expression was determined by qRT-PCR assay in DDP-resistant (n=25) and DDP-responsive OC tissues (n=34). (B and C) IC50 of cisplatin (B) and MALAT1 expression (C) were determined in SKOV3 and OVCAR3 cells as well as SKOV3/DDP and OVCAR3/DDP cells (n=3). *P<0.05.

MALAT1 expression in DDP-resistant OC tissues and cells. (A) MALAT1 expression was determined by qRT-PCR assay in DDP-resistant (n=25) and DDP-responsive OC tissues (n=34). (B and C) IC50 of cisplatin (B) and MALAT1 expression (C) were determined in SKOV3 and OVCAR3 cells as well as SKOV3/DDP and OVCAR3/DDP cells (n=3). *P<0.05.

MALAT1 Knockdown Restrains DDP-Resistant OC Progression

DDP-resistant cells were transfected with si-NC, si-MALAT1#1, si-MALAT1#2 to investigate the function of MALAT1 in DDP-resistant OC. Knockdown efficiency was confirmed by qRT-PCR assay (Figure 2A). As demonstrated in Figure 2B, MALAT1 knockdown dramatically reduced IC50 of DDP. Furthermore, MTT assay suggested that cell proliferation was suppressed by MALAT1 depletion in SKOV3/DDP and OVCAR3/DDP cells (Figure 2C and D, , and ). In addition, proportion of cell apoptosis was detected using flow cytometry. As shown in Figure 2E and F and , downregulation of MALAT1 significantly facilitated cell apoptosis. Besides, the decreased cell migrative and invasive abilities were observed in MALAT1-depleted SKOV3/DDP and OVCAR3/DDP cells (Figure 2G–J and ). These data indicated that MALAT1 knockdown increased DDP resistance, repressed cell proliferation, migration, invasion, and promoted cell apoptosis in DDP-resistant OC cells.
Figure 2

The effect of MALAT1 knockdown on DDP-resistant OC cells. (A) MALAT1 expression was measured in SKOV3/DDP and OVCAR3/DDP cells transfected with si-NC, si-MALAT1#1, or si-MALAT1#2, respectively (n=3). (B) IC50 of cisplatin was examined (n=3). (C and D) MTT assay was performed to assess cell proliferation (n=3). (E and F) Flow cytometry analysis was performed to detect cell apoptosis (n=3). (G–J) Cell migratory (G and H) and invasive (I and J) abilities were determined using transwell assays (magnification × 100) (n=3). *P<0.05.

The effect of MALAT1 knockdown on DDP-resistant OC cells. (A) MALAT1 expression was measured in SKOV3/DDP and OVCAR3/DDP cells transfected with si-NC, si-MALAT1#1, or si-MALAT1#2, respectively (n=3). (B) IC50 of cisplatin was examined (n=3). (C and D) MTT assay was performed to assess cell proliferation (n=3). (E and F) Flow cytometry analysis was performed to detect cell apoptosis (n=3). (G–J) Cell migratory (G and H) and invasive (I and J) abilities were determined using transwell assays (magnification × 100) (n=3). *P<0.05.

MiR-1271-5p is a Target of MALAT1

Online tool starbase3.0 showed that miR-1271-5p contained the binding sites for MALAT1 (Figure 3A) and dual-luciferase reporter assay verify this prediction. MiR-1271-5p significantly reduced the luciferase activity of MALAT1-WT, not MALAT1-MUT, in SKOV3/DDP and OVCAR3/DDP cells, revealing that MALAT1 interacted with miR-1271-5p (Figure 3B and C). Moreover, the results manifested that MALAT1 knockdown accelerated miR-1271-5p expression in SKOV3/DDP and OVCAR3/DDP cells (Figure 3D). Besides, miR-1271-5p level was significantly downregulated in DDP-resistant OC tissues and cells (Figure 3E, and Figure 3F). Furthermore, qRT-PCR assay confirmed that miR-1271-5p expression was negatively correlated with MALAT1 expression in DDP-resistant OC tissues (Figure 3G). Therefore, MALAT1 could directly weakened miR-1271-5p expression.
Figure 3

The prediction and confirmation of the interaction between MALAT1 and miR-1271-5p. (A) The interaction between MALAT1 and miR-1271-5p was predicted by starbase3.0. The red color represented the mutant binding sites. (B and C) The luciferase activity was determined in SKOV3/DDP and OVCAR3/DDP cells (n=3). (D) MiR-1271-5p expression was analyzed by qRT-PCR assay (n=3). (E) MiR-1271-5p expression was detected in DDP-resistant (n=25) and DDP-responsive OC tissues (n=34). (F) MiR-1271-5p expression was detected in DDP-resistant and DDP-responsive OC cells (n=3). (G) The relationship between miR-1271-5p expression and MALAT1 expression (n=3). *P<0.05.

The prediction and confirmation of the interaction between MALAT1 and miR-1271-5p. (A) The interaction between MALAT1 and miR-1271-5p was predicted by starbase3.0. The red color represented the mutant binding sites. (B and C) The luciferase activity was determined in SKOV3/DDP and OVCAR3/DDP cells (n=3). (D) MiR-1271-5p expression was analyzed by qRT-PCR assay (n=3). (E) MiR-1271-5p expression was detected in DDP-resistant (n=25) and DDP-responsive OC tissues (n=34). (F) MiR-1271-5p expression was detected in DDP-resistant and DDP-responsive OC cells (n=3). (G) The relationship between miR-1271-5p expression and MALAT1 expression (n=3). *P<0.05.

MiR-1271-5p Overexpression Represses the Proliferation, Migration, and Invasion, but Induces Apoptosis in DDP-Resistant OC Cells

QRT-PCR assay verified that transfection with miR-1271-5p remarkably increased miR-1271-5p expression (Figure 4A). The results demonstrated that IC50 of DDP was significantly reduced by miR-1271-5p overexpression (Figure 4B and ). Next, we found that miR-1271-5p overexpression significantly suppressed cell proliferation in SKOV3/DDP and OVCAR3/DDP cells (Figure 4C and D). Furthermore, flow cytometry was carried out to detect apoptotic cells. As indicated in Figure 4E, miR-1271-5p upregulation dramatically induced cell apoptosis. Besides, cell migratory and invasive abilities were lower in miR-1271-5p-upregulated SKOV3/DDP and OVCAR3/DDP cells than that in control cells (Figure 4F and G).
Figure 4

The effect of miR-1271-5p overexpression on DDP-resistant OC cells. (A) MiR-1271-5p expression was determined (n=3). (B) IC50 of cisplatin was investigated (n=3). (C and D) Cell proliferation was determined by MTT assay (n=3). (E and F) Cell apoptosis was measured using flow cytometry analysis (n=3). (G–J) Transwell assays were employed to examine cell migration and invasion (magnification × 100) (n=3). *P<0.05.

The effect of miR-1271-5p overexpression on DDP-resistant OC cells. (A) MiR-1271-5p expression was determined (n=3). (B) IC50 of cisplatin was investigated (n=3). (C and D) Cell proliferation was determined by MTT assay (n=3). (E and F) Cell apoptosis was measured using flow cytometry analysis (n=3). (G–J) Transwell assays were employed to examine cell migration and invasion (magnification × 100) (n=3). *P<0.05.

MiR-1271-5p Targets E2F5 and Suppresses E2F5 Expression

Online tool targetscan demonstrated that E2F5 3ʹUTR contained a complementary sequence with miR-1271-5p (Figure 5A). The results showed that the luciferase activity of E2F5-WT, but not E2F5-MUT, was reduced by miR-1271-5p (Figure 5B and C). Figure 5D and E demonstrated that the mRNA and protein level of E2F5 was downregulated by overexpression of miR-1271-5p. Besides, increased E2F5 expression was observed in DDP-resistant OC tissues and cells (Figure 5F–I and ). Furthermore, we found that E2F5 expression was negatively correlated with miR-1271-5p expression in DDP-resistant OC tissues (Figure 5J). These data uncovered that miR-1271-5p inversely regulated E2F5 expression.
Figure 5

The prediction and confirmation of the interaction between miR-1271-5p and E2F5. (A) The binding sites of miR-1271-5p and E2F5. (B and C) The luciferase activity was determined (n=3). (D and E) The mRNA and protein level of E2F5 were detected by qRT-PCR and Western blot in SKOV3/DDP and OVCAR3/DDP cells transfected with miR-NC or miR-1271-5p (n=3). (F–I) The mRNA and protein level of E2F5 were detected in DDP-resistant and DDP-responsive OC tissues (F and G) and cells (H and I). (J) The association between miR-1271-5p and E2F5 expression was detected (n=3). *P<0.05.

The prediction and confirmation of the interaction between miR-1271-5p and E2F5. (A) The binding sites of miR-1271-5p and E2F5. (B and C) The luciferase activity was determined (n=3). (D and E) The mRNA and protein level of E2F5 were detected by qRT-PCR and Western blot in SKOV3/DDP and OVCAR3/DDP cells transfected with miR-NC or miR-1271-5p (n=3). (F–I) The mRNA and protein level of E2F5 were detected in DDP-resistant and DDP-responsive OC tissues (F and G) and cells (H and I). (J) The association between miR-1271-5p and E2F5 expression was detected (n=3). *P<0.05.

MALAT1 Impedes miR-1271-5p Expression to Upregulate E2F5

Our data showed that there was a positive association between E2F5 expression and MALAT1 expression in DDP-resistant OC tissues (Figure 6A). Next, si-MALAT1#1 + anti-miR-1271-5p, si-MALAT1#1 + anti-miR-NC, si-MALAT1#1, si-NC, miR-1271-5p + pcDNA, or miR-1271-5p + E2F5 was transfected into SKOV3/DDP and OVCAR3/DDP cells. QRT-PCR assay and Western blot assay confirmed that E2F5 level was downregulated by MALAT1 knockdown, and then partly restored by miR-1271-5p silencing (Figure 6B and C). Moreover, we confirmed that overexpression of E2F5 elevated E2F5 level under miR-1271-5p overexpression condition (Figure 6B and C). Overall, MALAT1 upregulated E2F5 level via targeting miR-1271-5p.
Figure 6

The association among MALAT1, miR-1271-5p, and E2F5. (A) The association between E2F5 level and MALAT1 expression was investigated (n=3). (B and C) E2F5 mRNA and protein expression were detected (n=3). *P<0.05.

The association among MALAT1, miR-1271-5p, and E2F5. (A) The association between E2F5 level and MALAT1 expression was investigated (n=3). (B and C) E2F5 mRNA and protein expression were detected (n=3). *P<0.05.

MALAT1 Regulates DDP-Resistant OC Cell Progression Through Modulating miR-1271-5p/E2F5 Axis

As shown in Figure 7A, IC50 of DDP downregulated by MALAT1 knockdown was increased by miR-1271-5p depletion. MALAT1 downregulation-inhibited cell proliferation was promoted by miR-1271-5p depletion (Figure 7B and C). Furthermore, we found that the promotion effect of MALAT1 knockdown on cell apoptosis was reversed by miR-1271-5p depletion in SKOV3/DDP and OVCAR3/DDP cells (Figure 7D). Besides, MALAT1 knockdown repressed cell migration and invasion, which were blocked by depletion of miR-1271-5p (Figure 7E and F). The above results confirmed that miR-1271-5p overexpression repressed the growth of SKOV3/DDP and OVCAR3/DDP cells. Taken together, MALAT1 regulated the development of DDP-resistant OC cells by modulating miR-1271-5p/E2F5 axis.
Figure 7

The MALAT1/miR-1271-5p/E2F5 axis in the progression of DDP-resistant OC cells. (A) IC50 of cisplatin was examined (n=3). (B and C) Measurement of cell proliferation by MTT assay (n=3). (D and E) Determination of cell apoptosis by flow cytometry (n=3). (F–I) Cell migratory and invasive abilities were determined by transwell assays (magnification × 100) (n=3). *P<0.05.

The MALAT1/miR-1271-5p/E2F5 axis in the progression of DDP-resistant OC cells. (A) IC50 of cisplatin was examined (n=3). (B and C) Measurement of cell proliferation by MTT assay (n=3). (D and E) Determination of cell apoptosis by flow cytometry (n=3). (F–I) Cell migratory and invasive abilities were determined by transwell assays (magnification × 100) (n=3). *P<0.05.

Discussion

In recent years, DDP is an important drug for the therapy of OC, while OC cells prone to generate drug resistance in OC treatment.24 Moreover, lncRNAs were proved to be associated with DDP resistance in OC. For example, Long et al confirmed that lncRNA GAS5 increased DDP-resistance and promoted OC cell growth through modulating MAPK pathway.25 Miao et al reported that lncRNA ANRIL changed the sensitivity of OC cells to DDP by mediating let-7a and HMGA2 levels.26 LncRNA linc00312 regulated DDP resistance of OC cells via modulating Bcl-2/Caspase-3 pathway.27 Therefore, lncRNAs exerted the crucial function in DDP-resistant OC cells. MALAT1, as an oncogene, was highly expressed in tumors, such as hepatocellular carcinoma,28 breast cancer,29 gastric cancer,30 and colorectal cancer.31 In this study, increased MALAT1 expression was discovered in DDP-resistant OC tissues and cells. Moreover, MALAT1 knockdown decreased DDP resistance, suppressed proliferation, mobility, and promoted apoptosis of DDP-resistant OC cells. Our results were consistent with the previous data. For example, Bai and his colleagues showed that MALAT1 level was upregulated, while MALAT1 depletion inhibited cell development and DDP resistance in OC tissues or DDP-resistant OC tissues.10,32 These data revealed that MALAT1 played a pivotal profile in the development of DDP-resistant OC cells. LncRNAs act as ceRNAs to regulate the levels of downstream miRNAs through binding to target genes.33 For instance, lncRNA WDFY3-AS2 targeted miR-18a and repressed miR-18a expression.34 In this study, we observed that miR-1271-5p likely interacted with MALAT1. Subsequently, the relationship between miR-1271-5p and MALAT1 was confirmed by dual-luciferase reporter assessment. Moreover, we confirmed that MALAT1 inversely mediating miR-1271-5p level in DDP-resistant OC cells. A previous research showed that miR-1271 level was upregulated, and miR-1271 upregulation attenuated cell proliferation but enhanced apoptosis in DDP-resistant OC cells.15 In agreement with these data, our results confirmed that miR-1271-5p upregulation repressed the growth and DDP resistance of DDP-resistant OC cells. Previously, accumulating evidence demonstrated that miR-1271-5p impeded the development in human cancers. Yang and his colleagues indicated that miR-1271-5p, downregulated by lncRNA UCA1, suppressed cell proliferation, and enhanced apoptosis in multiple myeloma.35 Additionally, miR-1271-5p repressed the growth of hepatocellular carcinoma cells via modulating FOXK2 expression.36 Thus, we hypothesized that MALAT1 mediated DDP-resistant OC cell progression through inhibiting miR-1271-5p expression. Our data revealed that miR-1271-5p knockdown restored the effect of MALAT1 depletion on DDP-resistant OC cell progression. Next, online tool targetscan predicted E2F5 was a potential downstream gene of miR-1271-5p and our results confirmed that miR-1271-5p could bind to E2F5. Moreover, E2F5 level was downregulated by miR-1271-5p. Previous evidence suggested that E2F5 expression was enhanced in OC tissues, and E2F5 acted as a positive regulator in OC cell growth.22 However, there was no reporter about the function of E2F5 in DDP-induced OC cells. In this paper, we discovered that E2F5 was highly expressed in DDP-resistant OC cells, and E2F5 overexpression promoted DDP-resistant OC cell growth that suppressed by miR-1271-5p upregulation. Thus, we concluded that miR-1271-5p repressed E2F5 expression to modulate the growth of DDP-resistant OC cells. In human cancers, lncRNA can regulate the levels of multiple miRNAs, and miRNA can control various coding genes.37,38 Thus, it is speculated that there are other genes mediated by MALAT1 and miR-1271-5p in DDP-resistant OC cells. Therefore, more experiments were needed to understand the mechanisms of MALAT1 and miR-1271-5p in DDP-resistant OC cells. In conclusion, we demonstrated that MALAT1 knockdown suppressed DDP resistance, proliferation, and mobility, and promoted apoptosis by miR-1271-5p/E2F5 axis in DDP-resistant OC cells, providing a novel target for the therapy of OC.
  38 in total

1.  FOXK2, regulted by miR-1271-5p, promotes cell growth and indicates unfavorable prognosis in hepatocellular carcinoma.

Authors:  Mei-Fang Lin; Yu-Feng Yang; Zhen-Peng Peng; Mei-Fang Zhang; Jin-Yu Liang; Wei Chen; Xu-Hui Liu; Yan-Ling Zheng
Journal:  Int J Biochem Cell Biol       Date:  2017-05-12       Impact factor: 5.085

Review 2.  Epigenomics and ovarian carcinoma.

Authors:  Leonel Maldonado; Mohammad Obaidul Hoque
Journal:  Biomark Med       Date:  2010-08       Impact factor: 2.851

3.  The neuronal microRNA miR-326 acts in a feedback loop with notch and has therapeutic potential against brain tumors.

Authors:  Benjamin Kefas; Laurey Comeau; Desiree H Floyd; Oleksandr Seleverstov; Jakub Godlewski; Tom Schmittgen; Jinmai Jiang; Charles G diPierro; Yunqing Li; E Antonio Chiocca; Jeongwu Lee; Howard Fine; Roger Abounader; Sean Lawler; Benjamin Purow
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

4.  MicroRNA expression profiles distinguish liposarcoma subtypes and implicate miR-145 and miR-451 as tumor suppressors.

Authors:  Caroline M M Gits; Patricia F van Kuijk; Moniek B E Jonkers; Antonius W M Boersma; Marcel Smid; Wilfred F van Ijcken; Jean-Michel Coindre; Fréderic Chibon; Cornelis Verhoef; Ron H J Mathijssen; Michael A den Bakker; Jaap Verweij; Stefan Sleijfer; Erik A C Wiemer
Journal:  Int J Cancer       Date:  2014-01-16       Impact factor: 7.396

5.  A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA.

Authors:  Marcella Cesana; Davide Cacchiarelli; Ivano Legnini; Tiziana Santini; Olga Sthandier; Mauro Chinappi; Anna Tramontano; Irene Bozzoni
Journal:  Cell       Date:  2011-10-14       Impact factor: 41.582

6.  LncRNA MALAT1 increases the stemness of gastric cancer cells via enhancing SOX2 mRNA stability.

Authors:  Yiwen Xiao; Jingjing Pan; Qian Geng; Ge Wang
Journal:  FEBS Open Bio       Date:  2019-06-02       Impact factor: 2.693

7.  Berberine in combination with cisplatin induces necroptosis and apoptosis in ovarian cancer cells.

Authors:  Li Liu; Jingyan Fan; Guihai Ai; Jie Liu; Ning Luo; Caixia Li; Zhongping Cheng
Journal:  Biol Res       Date:  2019-07-18       Impact factor: 5.612

8.  Long Noncoding RNA MALAT1 Regulates Hepatocellular Carcinoma Growth Under Hypoxia via Sponging MicroRNA-200a.

Authors:  Zheng Bin Zhao; Fei Chen; Xiao Fang Bai
Journal:  Yonsei Med J       Date:  2019-08       Impact factor: 2.759

9.  A ten-microRNA signature identified from a genome-wide microRNA expression profiling in human epithelial ovarian cancer.

Authors:  Lin Wang; Miao-Jun Zhu; Ai-Min Ren; Hong-Fei Wu; Wu-Mei Han; Ruo-Ying Tan; Rui-Qin Tu
Journal:  PLoS One       Date:  2014-05-09       Impact factor: 3.240

10.  Long non-coding RNA Malat1 activated autophagy, hence promoting cell proliferation and inhibiting apoptosis by sponging miR-101 in colorectal cancer.

Authors:  Yaoran Si; Zhaoguo Yang; Quanxing Ge; Lingbing Yu; Meiying Yao; Xinfang Sun; Zheng Ren; Chunsheng Ding
Journal:  Cell Mol Biol Lett       Date:  2019-07-27       Impact factor: 5.787

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  11 in total

Review 1.  Functional roles of long noncoding RNA MALAT1 in gynecologic cancers.

Authors:  Maryam Farzaneh; Sajad Najafi; Mahrokh Abouali Gale Dari; Mohadeseh Sheykhi-Sabzehpoush; Diyan Dayer; Maryam Cheraghzadeh; Shirin Azizidoost
Journal:  Clin Transl Oncol       Date:  2022-08-30       Impact factor: 3.340

2.  Exosomes Derived from Tumor Cells Initiate Breast Cancer Cell Metastasis and Chemoresistance through a MALAT1-Dependent Mechanism.

Authors:  Shuang Tao; Zhengyang Bai; Yaobang Liu; Yali Gao; Jia Zhou; Yangyang Zhang; Jinping Li
Journal:  J Oncol       Date:  2022-06-30       Impact factor: 4.501

3.  MIR600HG sponges miR-125a-5p to regulate glycometabolism and cisplatin resistance of oral squamous cell carcinoma cells via mediating RNF44.

Authors:  Xingguang Liu; Tengda Zhao; Zhe Yuan; Shaohua Ge
Journal:  Cell Death Discov       Date:  2022-04-20

4.  Knockdown of lncRNA ACTA2-AS1 reverses cisplatin resistance of ovarian cancer cells via inhibition of miR-378a-3p-regulated Wnt5a.

Authors:  Chenxiao Lin; Meiyun Zheng; Youlin Yang; Yi Chen; Xiahui Zhang; Lingping Zhu; Haiyan Zhang
Journal:  Bioengineered       Date:  2022-04       Impact factor: 6.832

Review 5.  Current Treatments and New Possible Complementary Therapies for Epithelial Ovarian Cancer.

Authors:  Maritza P Garrido; Allison N Fredes; Lorena Lobos-González; Manuel Valenzuela-Valderrama; Daniela B Vera; Carmen Romero
Journal:  Biomedicines       Date:  2021-12-31

6.  JMJD2C-mediated long non-coding RNA MALAT1/microRNA-503-5p/SEPT2 axis worsens non-small cell lung cancer.

Authors:  Jun Zhang; Mingliang Wang; Jiashun Wang; Wendong Wang
Journal:  Cell Death Dis       Date:  2022-01-19       Impact factor: 8.469

7.  HOTTIP-miR-205-ZEB2 Axis Confers Cisplatin Resistance to Ovarian Cancer Cells.

Authors:  Yu-Jie Dong; Wei Feng; Yan Li
Journal:  Front Cell Dev Biol       Date:  2021-07-12

8.  Identification of Novel Prognostic Signatures for Clear Cell Renal Cell Carcinoma Based on ceRNA Network Construction and Immune Infiltration Analysis.

Authors:  Lu Zhou; Juan Ye; Fengyun Wen; Hong Yu
Journal:  Dis Markers       Date:  2022-03-14       Impact factor: 3.434

9.  SIAH1 reverses chemoresistance in epithelial ovarian cancer via ubiquitination of YBX-1.

Authors:  Wujiang Gao; Lu Chen; Li Lin; Meiling Yang; Taoqiong Li; Hong Wei; Chunli Sha; Jie Xing; Mengxue Zhang; Shijie Zhao; Qi Chen; Wenlin Xu; Yuefeng Li; Xiaolan Zhu
Journal:  Oncogenesis       Date:  2022-03-10       Impact factor: 7.485

10.  lncRNA MALAT1 participates in metformin inhibiting the proliferation of breast cancer cell.

Authors:  Yongye Huang; Ziyan Zhou; Jin Zhang; Zhenzhen Hao; Yunhao He; Zihan Wu; Yiquan Song; Kexun Yuan; Shanyu Zheng; Qi Zhao; Tianye Li; Bing Wang
Journal:  J Cell Mol Med       Date:  2021-06-24       Impact factor: 5.310

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