Open Access

Long non‑coding RNA 00858 knockdown alleviates bladder cancer via regulation of the miR‑3064‑5p/CTGF axis

  • Authors:
    • Ji Huang
    • Qiu-Ming He
    • Qi Wu
    • Wei-Min Zhou
    • Chao Hao
    • Gong-Xian Wang
    • Xin-Hua Tu
  • View Affiliations

  • Published online on: June 16, 2021     https://doi.org/10.3892/or.2021.8115
  • Article Number: 164
  • Copyright: © Huang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The long non-coding RNA 00858 (LINC00858) has been reported to be an oncogene for various cancer diseases, including osteosarcoma and colorectal cancer. However, the expression pattern and function of LINC00858 in bladder cancer remain largely unknown. The expression level of LINC00858 was measured in tumor tissues and cell lines by RT-qPCR. The role of LINC00858 in bladder cancer cells were studied by gain- and loss-of-function strategies in vitro. Cell proliferation, migration and invasion were assessed by CCK-8, colony formation, wound healing and Transwell chamber assays. At the molecular level, dual luciferase reporter and RNA RIP assays were performed to identify the interaction among LINC00858, microRNA (miR)-3064-5p and cellular communication network factor 2 (CTGF). The results revealed that the expression level of LINC00858 was upregulated in bladder cancer tissues and cell lines including T24, J82 and 5637. Moreover, knockdown of LINC00858 suppressed cell proliferation, migration and invasion in vitro. Mechanistically, LINC00858 functioned as a competitive RNA to increase the expression level of oncogene CTGF by sequestering miR-3064-5p. In conclusion, LINC00858 knockdown inhibited the proliferation, migration and invasion of bladder cancer cells via regulation of the miR-3064-5p/CTGF axis.

Introduction

Bladder cancer is theninth most frequently diagnosed cancer globally, with an estimated 429,000 new cases and 165,000 cancer-related deaths worldwide in 2012 (1,2). Notably, a significant difference in the incidence rate between sexes exists; men always suffer from a higher incidence than women due to their addiction with smoking (3,4). Most bladder cancers (75–80%) that do not involve the muscular wall of the bladder usually obtain favorable clinical results through endoscopic treatment (4). In addition, radical cystectomy combined with abdominal lymph node dissection is the gold standard for the treatment of invasive bladder cancer. However, due to the difficulty of this surgery and the large number of postoperative complications, it is not suitable for all patients (5). Therefore, it is necessary to study the diagnosis and pathogenesis of bladder cancer. Exploring potential targets for bladder cancer treatment is urgently needed to further improve the therapeutic effects on bladder cancer.

In recent years, growing evidence has revealed that long non-coding RNAs act as biomarkers for diagnosis and prognosis of cancer patients, thus providing new therapeutic targets for cancer treatment (68). Numerous lncRNAs are aberrantly expressed in various tumors, and a number of lncRNAs, such as MALAT1 in lung cancer, are stable in body fluids and could be detected in the plasma and urine of patients with cancer (911). Increasing evidence has demonstrated that lncRNAs participate in bladder cancer formation, progression, and metastasis (12,13). Wei et al have reported thatlncRNA MBNL1-AS1 suppressed cell proliferation and enhanced cell apoptosis via targeting of the microRNA (miR)-135a-5p/PHLPP2/FOXO1 axis in bladder cancer (14). Among these lncRNAs, LINC00858, located in 10q23.1, has been reported in three types of tumors, including lung cancer, osteosarcoma and colorectal cancer (15). In these malignancies, LINC00858 has been revealed to induce tumor progression and metastasis. However, the role of LINC00858 in the regulation of bladder cancer remains unknown.

In the present study, the expression level of LINC00858 was detectedin bladder cancer tissues and cells. Then, LINC00858 was knocked down by RNAi technology, and abilities including cell proliferation, migration and invasion were investigated. Futhermore, the mechanism underlying LINC00858 in bladder cancer was studied.

Materials and methods

Human samples and ethical approval

Tumor tissues and paired adjacent normal tissues were obtained from 60 bladder cancer patients (28 females and 32 males) from June 2011 to July 2019 who underwent surgery at Jiangxi Cancer Hospital (Nanchang, China). The inclusion criteria was as follows: Age, from 28 to 61 years; histologically confirmed non-muscular invasive urothelial carcinoma of the bladder. The exclusion criteria was as follows: Patients with other concurrent uropoiesis reproductive system tumors; patients with severe cardiovascular and cerebrovascular disease such as heart failure; known immunodeficiency; various mental disorders. The present study was approved by the Ethics Committee of Jiangxi Cancer Hospital (approval no. 2019014). Written informed consent was obtained from all participants. All the tissue samples were collected and frozen in liquid nitrogen, and then stored at −80°C for further use. The clinicopathological data of the patients are presented in Table SI.

Cell culture

Three human bladder cancer cell lines,T24, J82 and 5637 and a normal human bladder epithelial cell line SV-HUC-1, were purchased from the American Type Culture Collection (ATCC). All cell lines were cultured in RPMI-1640 medium supplemented with 10% fetal bovine serum (both from Invitrogen; Thermo Fisher Scientific, Inc.) at 37°C with 5% CO2.

Cell transfection

The bladder cancer cell lines 5637 and T24 were respectively transfected with 0.2 µg LINC00858 overexpression vector, 50 pmol LINC00858 short hairpin (sh)RNA, 50 pmol negative control (NC) shRNA, 50 pmol CTGF shRNA, 50 pmol NC mimic (a non-targeting miR-scramble), 50 pmol miR-3064-5p mimic, 50 pmol miR-3064-5p inhibitor, 50 pmol miR-NC inhibitor and 0.2 µg empty vector was used as a control for the overexpression experiments (all from Shanghai GenePharma Co., Ltd. The sequences were: sh-LINC00858 (5′-GCGACATTAATGGGAATGA-3′); sh-CTGF (forward, 5′-CACCGCACCAGAATGTATATTAATTCAAGAGATTAATATACATTCTGGTGCTTTTTTG-3′ and reverse, 5′-GATCCAAAAAAGCACCAGAATGTATATTAATCTCTTGAATTAATATACATTCTGGTGC-3′); sh-RNA NC (5′-GTTCTCCGAACGTGTCACGT-3′); miR-3064-5p mimic (5′-TTACTGGCTGTTGTGGTGTGC-3′); NC mimic (forward, 5′-UUCUCCGAACGUGUCACGUTT-3′ and reverse, 5′-ACGUGACACGUUCGGAGAATT-3′); miR-3064-5p inhibitor (5′-UUGCACACCACAACAGCCAGA-3′); and miR-NC inhibitor (5′-CAGUACUUUUGUGUAGUACAA-3′). Lipofectamine 2000 (Invitrogen; Thermo Fisher Scientific, Inc.) was used for transfection according to the manufacturer's protocols. After transfection for 6 h at 37°C, fresh culture medium was added and cells were cultured for 48 h before futher experiments. Real-time PCR and green fluorescence microscopy were used to assess the transfection efficiency.

Bioinformatics analysis

To predict the interaction site of miR-3064-5p with LINC00858, starBase v2.0 (http://starbase.sysu.edu.cn/) (16) was employed according to the online instructions. In addition, the binding site between miR-3064-5p and CTGF was predicted by searching starBase v2.0 online.

CCK-8 and colony formation assays

Cell proliferation was detected by CCK-8 and colony formation assays. The CCK-8 assay was performed according to the manufacturer's instructions (Beyotime Biotechnology). In brief, 5,000 cells were seeded into a 96-well plate and cultured for 24, 48 and 72 h. Then 5 µl of CCK-8 reagent was added into each well and cultured for another 1 h at 37°C before detection on a microplate reader. The optical density (OD) values were then measured at 450 nm. For the colony formation assay, 500 cells were seeded into a 6-well plate and cultured for ~14 days, and then the colonies (>5 cells per colony) were stained with 0.5% crystal violet at room temperature for 10 min and counted with a stereomicroscope (magnification, ×40; Leica MZ8; Leica Microsystems GmbH).

Wound healing assay

Approximately 20,000 cells were seeded into a 24-well plate and cultured at 37°C for 24 h. The scratch wounds were created in 5637 and T24 cells by 10-µl pipette tips. The cells were washed 3 times with PBS, to remove the marked cells, and serum-free medium was added for culture. Representative images were captured after 48 h using a microscope (magnification, ×200; Leica MZ8; Leica Microsystems GmbH).

Transwell chamber assay

Approximately 20,000 cells in serum-free medium were seeded in the upper Transwell chamber (8 µm; Cell Biolabs, Inc.) with a Matrigel-coated membrane (pre-coated at 4°C for 12 h) for invasion assays or in chambers not coated with Matrigel for migration assays, while the lower chamber was filled with complete medium as a chemoattractant. After 24 h at 37°C, the cells on the upper part of the filters were removed with a cotton swab. The migrated and invasive cells were counted in 5 different fields (magnification, ×200) under a light microscope (Nikon Corporation) after staining with 0.5% crystal violet at 37°C for 15 min.

Dual luciferase reporter assay

To assess the relationship between CTGF and miR-3064-5p (or LINC00585), the online tool LncTar (http://www.cuilab.cn/lnctar) (17) was used to predict the binding site between CTGF 3′UTR (or LINC00585) and miR-3064-5p. Then, a dual-luciferase reporter assay was carried out. First, CTGF 3′-UTR was cloned into the downstream of the psiCheck2 vector (Promega Corporation) to generate the wild-type CTGF 3′-UTR luciferase reporter vector; a mutant CTGF 3′-UTR luciferase reporter vector was generated by mutating the predicted miR-3064-5p binding site within the CTGF 3′-UTR. These two reporter vectors were cotransfected by Lipofectamine 2000 (Invitrogen; Thermo Fisher Scientific, Inc.) with 50 pmol of miR-3064-5p mimics (Shanghai GenePharma Co., Ltd.) into 5637 and T24 cells. Then, 48 h later, the cells were harvested and underwent a dual-luciferase reporter assay (Promega Corporation) to evaluate firefly and Renilla the luciferase activities. Renilla luciferase activity served as a normalization control.

RNA immunoprecipitation (RIP) assay

The Immunoprecipitation Kit (cat. no. 17-10085; EMD Millipore) was used for an RNA immunoprecipitation (RIP) assay according to the manufacturer's instructions. Briefly, the lysed cells (5×106) were incubated in 100 µl of RIP buffer solution (cat. no. KT102-01; GZSCBio Co. Ltd.), and the magnetic beads (included in the kit) were labeled with anti-Ago2 or IgG antibodies (included in the kit) at 4°C for 2 h. The abundance of LINC00858, miR-3064-5p, and CTGF were verified by RT-qPCR.

Determination of reactive oxygen species (ROS)

Approximately 1×105 cells were seeded into a 6-well plate and cultured at 37°C for 24 h. Then CellROX™ Green reagent (ThermoFisher Scientific, Inc.) was added at a 1/500 volume of medium and cultured for 1 h at room temperature. After being washed with PBS buffer (Gibco; Thermo Fisher Scientific, Inc.), cells were monitored under a fluorescence microscope (Olympus BX43;Olympus Corporation) and the ROS content was calculated according to the control.

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Total RNA from tissues or target cells was extracted using TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc.), following the manufacturer's procedures. A NanoDrop-1000 (Thermo Fisher Scientific, Inc.) was used to determine concentrations and for quality control purposes. Complementary DNA was synthesized from extracted RNA (5 µg) using the Prime Script® RT Reagent kit with gDNA Eraser (Invitrogen; Thermo Fisher Scientific, Inc.) in accordance with the recommended protocol (samples and reagent mix were incubated at 37°C for 15 min and 85°C for 5 sec, and finally stored at 4°C). qPCR was performed using SYBR®Premix Ex Taq™ II (Invitrogen; Thermo Fisher Scientific, Inc.). An ABI 7500 real-time PCR detection system (Applied Biosystems; Thermo Fisher Scientific, Inc.) was used for detection. The qPCR thermocycling conditions were as follows: The initial denaturation was first performed at 95°C for 2 min followed by denaturation at 95°C for 15 sec and annealing and extension at 60°C for 30 sec. Then, denaturation, annealing and extension were repeated for 40 cycles. After amplification, data were collected and processed by the comparative cycle threshold method. U6 and GAPDH expression levels were used as internal references for miRNA and mRNA expression detection, respectively. Finally, the data were processed using the 2−ΔΔCq relative expression method (18). The PCR amplification products were quantified by the FastStart Universal SYBR Green Master (Roche Diagnostics) and normalized to GAPDH or U6.

Western blotting

Total protein was extracted from cultured cells using RIPA buffer (Beyotime Biotechnology) containing protease and phosphotase inhibitorcocktails. A BCA protein assay kit (Beyotime Biotechnology) was used to determine protein concentrations according to the manufacturer's instructions. Approximately 10 µg of proteins were separated by 12% SDS-PAGE and transferred to PVDF (EMD Millipore) membranes. The membranes were blocked with 5% non-fat milk at room temperature for 1 hand then incubated with primary antibodies overnight at 4°C, and subsequently incubated with HRP-conjugated secondary antibodies (cat. no. A0216; dilution 1:5,000; Beyotime Biotechnology) at room temperature for 1 h. Proteins were visualized using ECL Western blotting detection reagent (EMD Millipore). Immunoreactive bands were quantified using ImageJ (1.8.0; NIH). The following primary antibodies were used: Anti-Cox-2 (product code ab179800; 1:1,000), anti-MMP2 (product code ab92536; 1:2,000), anti-MMP9 (product code ab76003; 1:2,000), anti-CTGF (product code ab209780; 1:1,000) and β-actin (product code ab8226; 1:1,000) (all from Abcam).

Statistical analysis

All data are presented as the mean ± standard deviation and all experiments were repeated three times. Statistical significance between normal and tumor tissues was analyzed using a paired t-test, and other comparisons between two groups were analyzed by unpaired t-test. One-way ANOVA followed by Tukey's post hoc test was performed for multiple comparisons using SPSS version 21.0 software (IBM Corp.). Pearson's correlation analysis was used to analyze the relationship between LINC00858 and miR-3064-5p. P<0.05 was considered to indicate a statistically significant difference.

Results

LINC00858 is increased in bladder cancer tissues and the cancer cell lines

As revealed in Fig. 1A, RT-qPCR analysis revealed that the RNA expression level of LINC00858 was increased in the bladder cancer tissues compared with that in the paired adjacent normal tissues. Consistently with the findings in tissues, LINC00858 was revealed to be upregualted in three bladder cancer cell lines (5673, T24 and J82) compared with the normal bladder cells (Fig. 1B). All these data indicated a positive relationship between LINC00858 and bladder cancer progression.

Knockdown of LINC00858 suppresses bladder cancer cell proliferation, migration and invasion

To investigate the role of LINC00858 in bladder cancer, the specific shRNA targeting LINC00858 was used to knock down the expression level of LINC00858 both in 5637 and T24 bladder cancer cells. The transfection efficiency is presented in Fig. 2A and B. CCK-8 and colony formation assays revealed that knockdown of LINC00858 inhibited the proliferation of 5637 and T24 cells (Fig. 2C and D). It has been previously reported that the cell apoptosis of bladder cancer was induced by reactive oxygen species (ROS) (19). In the present study, it was revealed that the content of ROS was increased in the sh-LINC00858 group (Fig. 2C). Furthermore, Transwell migration and invasion assays were conducted to determine whether LINC00858 is involved in the regulation of bladder cell migration and invasion. In the present study, knockdown of LINC00858 significantly inhibited bladder cancer cell migration and invasion as evidenced by the wound healing and Transwell chamber assays (Fig. 3A and B). At the molecular level, the expression levels of migration/invasion-associated proteins, including Cox-2, MMP2 and MMP9, were markedly decreased in response to LINC00858 knockdown (Fig. 3C). These findings indicated that LIN00858 may exert an oncogenic action on the aggressiveness of bladder cells in vitro.

LINC00858 acts as a sponge for miR-3064-5p in bladder cancer cells

As revealed in Fig. 4A, bioinformatics analysis using starBase v2.0 indicated that miR-3064-5p was a potential downstream target of LINC00858. RT-qPCR analysis revealed that miR-3064-5p was expressed at a low level in bladder cancer tissues and cells compared with normal samples and cells (Fig. 4B and C). A previous study has revealed that lncRNAs may function as ceRNAs by sponging miRNAs (20).

To validate true functional binding between LINC00858 and miR-3064-5p, luciferase reporter assays were performed. The mimics of miR-3064-5p were transfected into 5637 and T24 cells for miR-3064-5p overexpression, as confirmed by RT-qPCR (Fig. 4D). The luciferase reporter assay results revealed that miR-3064-5p mimics transfected into 5637 and T24 cells significantly reduced the activity of the luciferase reporter, while no significant alterations were observed in the luciferase activity of mutant LINC00858 (Fig. 4E). Notably, RIP assays revealed that the expression levels of LINC00858 and miR-3064-5p in Ago2 RIP were significantly higher than those in IgG RIP, suggesting the direct binding of these two RNAs (Fig. 4F). Moreover, based on the results of the RT-qPCR assays, the relative levels of miR-3064-5p were notably increased due to silencing of LINC00858 in 5637 and T24 cells (Fig. 4G). In addition, Pearson's correlation analysis indicated that miR-3064-5p was negatively correlated with LINC00858 (Fig. 4H).

Inhibition of miR-3064-5p contributes to cell proliferation, migration and invasion of bladder cancer cells

The aforementioned data clearly demonstrated that LINC00858 directly interacted with miR-3064-5p. Thus, it was further investigated whether the LINC00858/miR-3064-5p axis modulated bladder cancer. 5637 and T24 cells were co-transfected with miR-3064-5p inhibitor and sh-LINC00858 (Fig. 5A). As revealed in Fig. 5A, the cell viability decreased by LINC00858 knockdown was rescued by the miR-3064-5p inhibitor, while increased ROS contents were reversed by miR-3064-5p inhibitor. miR-3064-5p inhibitor also rescued the effect of LINC00858 knockdown on bladder cancer cells as revealed inthe colony formation assay (Fig. 5B). Furthermore, the wound healing assay and the Transwell assays revealed that the migration and invasion of bladder cancer cells inhibited by sh-LINC00858 were increased by miR-3064-5p inhibitor. Cox-2, MMP2 and MMP9 protein levels that were significantly decreased by LINC00858 knockdown, were increased by miR-3064-5p inhibition. The effects of sh-LINC00858 on migration and invasion were partially attenuated by miR-3064-5p inhibitor (Fig. 5C-E).

LINC00858 modulates CTGF via competitive binding with miR-3064-5p

Using starBase v2.0, it was determined that CTGF was a downstream target gene of miR-3064-5p and the potential binding sequences are presented in Fig. 6A. Reporter gene assays in 5637 and T24 cells revealed that overexpression of miR-3064-5p led to a notable decrease in the transcriptional activity of CTGF 3′-UTR promoter constructs, while no significant changes were observed in the CTGF-Mut group (Fig. 6B). RIP assays suggested that miR-3064-5p binded to CTGF (Fig. 6C). Similar results of CTGF expression pattern at the mRNA and protein levels were observed and confirmed by RT-qPCR and western blot analyses (Fig. 6D and E). Notably, the results revealed that the expression levels of CTGF were markedly impeded by miR-3064-5p overexpression. In addition, it was revealed that the miR-3064-5p-induced inhibitory effects on CTGF transcription could be partially restored by overexpression of LINC00858, indicating that LINC00858 competes with CTGF for miR-3064-5p (Fig. 6F). Finally, RT-qPCR and western blotting revealed that the expression levels of CTGF were also markedly impeded by knockdown of LINC00858 (Fig. 6G and H).

LINC00858/miR-3064-5p/CTGF axis in bladder cancer

To further study the role of LINC00858/miR-3064-5p/CTGF axis in bladder cancer, rescue assays were performed. As revealed in Fig. 7A, the transfection efficiency in 5637 was confirmed by RT-qPCR. Wound healing analysis and Transwell analysis revealed that overexpression of LINC00858 promoted cell migration and invasion, while knockdown of CTGF inhibitedcell migration and invasion (Fig. 7B-D). Moreover, western blot analysis revealed that overexpression of LINC00858 resulted in the increased expression levels of Cox-2, MMP2 and MMP9 and the effects of LINC00858 overexpression were counteracted by silencing of CTGF (Fig. 7E).

Discussion

With the advancement of RNA-Seq technologies, lncRNAs are closely associated with bladder cancer (21). Previous studies have revealed that LINC00858, a novel lncRNA, was upregulated in several cancers and functioned as a tumor promoter in colorectal cancer, non-small cell lung cancer and osteosarcoma (8,15,2224). LINC00858 promoted cell proliferation, migration and invasion by acting as a ceRNA of microRNA in the aforementioned cancers. In the present study, it was revealed that LINC00858 was aberrantly highly expressed in bladder cancer tissues and cells. Mechanism studies revealed that LINC00858 could increase the expression level of CTGF in bladder cancer cells by combining with miR-3064-5p. For the first time, to the best of our knowledge, direct evidence was provided that LINC00858 acts as an oncogene in bladder cancer and promotes the growth and metastasis of bladder cancer cells.

In addition, lncRNAs have also been revealed to act as diagnostic and prognostic biomarkersin bladder cancer (25). For instance, Shan et al have reported that lncRNA NEAT1 promoted bladder progression by regulating miR-410-mediated HMGB1 (23). Liu and Wu demonstrated that lncRNA NNT-AS1 enhanced bladder cancer cell growth by targeting the miR-1301-3p/PODXL axis and activating the Wnt pathway (24), and in 2019, Fang et al revealed that DLX6-AS1 promoted cell growth and invasiveness in bladder cancer by modulating the miR-223-HSP90B1 axis (25).

Functionally, some lncRNAs contain miRNA-binding elements and act as ceRNAs, suppressing miRNA activities. In the present study, it was revealed using a bioinformatics database that miR-3064-5p may be a target of LINC00858. miR-3064-5p was revealed to be downregulated in cancer tissues and cells in the present study. A recent study indicated that miR-3064-5p served as a tumor suppressor in gastric cancer (26). Herein, for the first time, to the best of our knowledge, it was revealed that miR-3064-5p reversed the effects of LINC00858 on bladder cancer cells.

CTGF, encoded within chromosomal 6q23.2, has been reported to be a potential oncogene in cancer (2729). CTGF played a crucial role for osteolytic bone metastasis both by enhancing invasiveness of tumor cells and producing RANKL for osteoclastogenesis (30). In addition, CTGF has been confirmed as a potential prognostic marker for medulloblastoma (31). With regard to the present research, it was revealed that CTGF was a direct target of miR-3064-5p. Moreover, it was also revealed that the expression level of CTGF was significantly decreased by knockdown of LINC00858. Knockdown of CTGF reversed the effects of LINC00858 overexpression on bladder cancer cells. Therefore, CTGF mediated the oncogenic role of LINC00858 in the development of bladder cancer.

In summary, the present study demonstrated that knockdown of LINC00858 suppressed the progression andmetastasis of bladder cancer cells in vitro. In terms of the mechanism, LINC00858 functioned as a ceRNA by regulating the expression level of CTGF by sponging miR-3064-5p.

Supplementary Material

Supporting Data

Acknowledgements

Not applicable.

Funding

No funding was received.

Availability of data and materials

All data generated or analysed during this study are included in this published article.

Authors' contributions

JH, WMZ and XHT conceived the study and revised the manuscript. QMH and CH conducted all the experiments and drafted the manuscript. QW and GXW interpreted and analyzed the data. All authors reviewed, read, and approved this manuscript and agree to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Ethics approval and consent to participate

The present study was approved by the Ethics Committee of Jiangxi Cancer Hospital (approval no. 2019014). Written informed consent was obtained from all participants.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D and Bray F: Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 136:E359–E386. 2015. View Article : Google Scholar : PubMed/NCBI

2 

Hedegaard J, Lamy P, Nordentoft I, Algaba F, Høyer S, Ulhøi BP, Vang S, Reinert T, Hermann GG, Mogensen K, et al: Comprehensive transcriptional analysis of early-stage urothelial carcinoma. Cancer Cell. 30:27–42. 2016. View Article : Google Scholar : PubMed/NCBI

3 

Antoni S, Ferlay J, Soerjomataram I, Znaor A, Jemal A and Bray F: Bladder cancer incidence and mortality: A global overview and recent trends. Eur Urol. 71:96–108. 2017. View Article : Google Scholar : PubMed/NCBI

4 

Renganathan A and Felley-Bosco E: Long noncoding RNAs in cancer and therapeutic potential. Adv Exp Med Biol. 1008:199–222. 2017. View Article : Google Scholar : PubMed/NCBI

5 

Lenis AT, Lec PM, Chamie K and Mshs MD: Bladder cancer: A review. JAMA. 324:1980–1991. 2020. View Article : Google Scholar : PubMed/NCBI

6 

Luo D, Deng B, Weng M, Luo Z and Nie X: A prognostic 4-lncRNA expression signature for lung squamous cell carcinoma. Artif Cells Nanomed Biotechnol. 46:1207–1214. 2018. View Article : Google Scholar : PubMed/NCBI

7 

Yang G, Lu X and Yuan L: lncRNA: A link between RNA and cancer. Biochim Biophys Acta. 1839:1097–1109. 2014. View Article : Google Scholar : PubMed/NCBI

8 

Sha QK, Chen L, Xi JZ and Song H: Long non-coding RNA LINC00858 promotes cells proliferation, migration and invasion by acting as a ceRNA of miR-22-3p in colorectal cancer. Artif Cells Nanomed Biotechnol. 47:1057–1066. 2019. View Article : Google Scholar : PubMed/NCBI

9 

Shi T, Gao G and Cao Y: Long noncoding RNAs as novel biomarkers have a promising future in cancer diagnostics. Dis Markers. 2016:90851952016. View Article : Google Scholar : PubMed/NCBI

10 

Toiyama Y, Okugawa Y and Goel A: DNA methylation and microRNA biomarkers for noninvasive detection of gastric and colorectal cancer. Biochem Biophys Res Commun. 455:43–57. 2014. View Article : Google Scholar : PubMed/NCBI

11 

Bhan A, Soleimani M and Mandal SS: Long noncoding RNA and cancer: A new paradigm. Cancer Res. 77:3965–3981. 2017. View Article : Google Scholar : PubMed/NCBI

12 

Martens-Uzunova ES, Böttcher R, Croce CM, Jenster G, Visakorpi T and Calin GA: Long noncoding RNA in prostate, bladder, and kidney cancer. Eur Urol. 65:1140–1151. 2014. View Article : Google Scholar : PubMed/NCBI

13 

Zhang X, Gejman R, Mahta A, Zhong Y, Rice KA, Zhou Y, Cheunsuchon P, Louis DN and Klibanski A: Maternally expressed gene 3, an imprinted noncoding RNA gene, is associated with meningioma pathogenesis and progression. Cancer Res. 70:2350–2358. 2010. View Article : Google Scholar : PubMed/NCBI

14 

Wei X, Yang X, Wang B, Yang Y, Fang Z, Yi C, Shi L and Song D: lncRNA MBNL1-AS1 represses cell proliferation and enhances cell apoptosis via targeting miR-135a-5p/PHLPP2/FOXO1 axis in bladder cancer. Cancer Med. 9:724–736. 2020. View Article : Google Scholar : PubMed/NCBI

15 

Xue M, Shi D, Xu G and Wang W: The long noncoding RNA linc00858 promotes progress of lung cancer through miR-3182/MMP2 axis. Artif Cells Nanomed Biotechnol. 47:2091–2097. 2019. View Article : Google Scholar : PubMed/NCBI

16 

Li JH, Liu S, Zhou H, Qu LH and Yang JH: starBase v2.0: Decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data. Nucleic Acids Res. 42((Database Issue)): D92–D97. 2014. View Article : Google Scholar : PubMed/NCBI

17 

Li J, Ma W, Zeng P, Wang J, Geng B, Yang J and Cui Q: LncTar: A tool for predicting the RNA targets of long noncoding RNAs. Brief Bioinform. 16:806–812. 2015. View Article : Google Scholar : PubMed/NCBI

18 

Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI

19 

Takeuchi H, Taoka R, Mmeje CO, Jinesh GG, Safe S and Kamat AM: CDODA-Me decreases specificity protein transcription factors and induces apoptosis in bladder cancer cells through induction of reactive oxygen species. Urol Oncol. 34:337.e11–e18. 2016. View Article : Google Scholar : PubMed/NCBI

20 

Tay Y, Rinn J and Pandolfi PP: The multilayered complexity of ceRNA crosstalk and competition. Nature. 505:344–352. 2014. View Article : Google Scholar : PubMed/NCBI

21 

Zhu W, Liu H, Wang X, Lu J and Yang W: Long noncoding RNAs in bladder cancer prognosis: A meta-analysis. Pathol Res Pract. 215:1524292019. View Article : Google Scholar : PubMed/NCBI

22 

Quan J, Pan X, Zhao L, Li Z, Dai K, Yan F, Liu S, Ma H and Lai Y: lncRNA as a diagnostic and prognostic biomarker in bladder cancer: A systematic review and meta-analysis. Onco Targets Ther. 11:6415–6424. 2018. View Article : Google Scholar : PubMed/NCBI

23 

Shan G, Tang T, Xia Y and Qian HJ: Long non-coding RNA NEAT1 promotes bladder progression through regulating miR-410 mediated HMGB1. Biomed Pharmacother. 121:1092482020. View Article : Google Scholar : PubMed/NCBI

24 

Liu Y and Wu G: NNT-AS1 enhances bladder cancer cell growth by targeting miR-1301-3p/PODXL axis and activating Wnt pathway. Neurourol Urodyn. 39:547–557. 2020. View Article : Google Scholar : PubMed/NCBI

25 

Fang C, Xu L, He W, Dai J and Sun F: Long noncoding RNA DLX6-AS1 promotes cell growth and invasiveness in bladder cancer via modulating the miR-223-HSP90B1 axis. Cell Cycle. 18:3288–3299. 2019. View Article : Google Scholar : PubMed/NCBI

26 

Sun X, Zhang X, Zhai H, Zhang D and Ma S: A circular RNA derived from COL6A3 functions as a ceRNA in gastric cancer development. Biochem Biophys Res Commun. 515:16–23. 2019. View Article : Google Scholar : PubMed/NCBI

27 

Yang L, Hou J, Cui XH, Suo LN and Lv YW: miR-133b regulates the expression of CTGF in epithelial-mesenchymal transition of ovarian cancer. Eur Rev Med Pharmacol Sci. 21:5602–5609. 2017.PubMed/NCBI

28 

Alam KJ, Mo JS, Han SH, Park WC, Kim HS, Yun KJ and Chae SC: MicroRNA 375 regulates proliferation and migration of colon cancer cells by suppressing the CTGF-EGFR signaling pathway. Int J Cancer. 141:1614–1629. 2017. View Article : Google Scholar : PubMed/NCBI

29 

Lun W, Wu X, Deng Q and Zhi F: miR-218 regulates epithelial-mesenchymal transition and angiogenesis in colorectal cancer via targeting CTGF. Cancer Cell Int. 18:832018. View Article : Google Scholar : PubMed/NCBI

30 

Kim B, Kim H, Jung S, Moon A, Noh DY, Lee ZH, Kim HJ and Kim HH: A CTGF-RUNX2-RANKL axis in breast and prostate cancer cells promotes tumor progression in bone. J Bone Miner Res. 35:155–166. 2020. View Article : Google Scholar : PubMed/NCBI

31 

Cruzeiro GAV, Lira RCP, de Almeida Magalhães T, Scrideli CA, Valera ET, Baumgartner M and Tone LG: CTGF expression is indicative of better survival rates in patients with medulloblastoma. Cancer Gene Ther. 27:378–382. 2020. View Article : Google Scholar : PubMed/NCBI

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August-2021
Volume 46 Issue 2

Print ISSN: 1021-335X
Online ISSN:1791-2431

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Spandidos Publications style
Huang J, He Q, Wu Q, Zhou W, Hao C, Wang G and Tu X: Long non‑coding RNA 00858 knockdown alleviates bladder cancer via regulation of the miR‑3064‑5p/CTGF axis. Oncol Rep 46: 164, 2021
APA
Huang, J., He, Q., Wu, Q., Zhou, W., Hao, C., Wang, G., & Tu, X. (2021). Long non‑coding RNA 00858 knockdown alleviates bladder cancer via regulation of the miR‑3064‑5p/CTGF axis. Oncology Reports, 46, 164. https://doi.org/10.3892/or.2021.8115
MLA
Huang, J., He, Q., Wu, Q., Zhou, W., Hao, C., Wang, G., Tu, X."Long non‑coding RNA 00858 knockdown alleviates bladder cancer via regulation of the miR‑3064‑5p/CTGF axis". Oncology Reports 46.2 (2021): 164.
Chicago
Huang, J., He, Q., Wu, Q., Zhou, W., Hao, C., Wang, G., Tu, X."Long non‑coding RNA 00858 knockdown alleviates bladder cancer via regulation of the miR‑3064‑5p/CTGF axis". Oncology Reports 46, no. 2 (2021): 164. https://doi.org/10.3892/or.2021.8115