Skip to main content
Cell Transplantation logoLink to Cell Transplantation
. 2021 Feb 11;30:0963689720983785. doi: 10.1177/0963689720983785

CircRNA Circ-ITCH Inhibits the Proliferation and Invasion of Glioma Cells Through Targeting the miR-106a-5p/SASH1 Axis

Wei Chen 1,*, Ming Wu 1,*, Si-Tong Cui 1, Yue Zheng 1, Zhen Liu 1, Liang-Sheng Luo 1,
PMCID: PMC7883158  PMID: 33571015

Abstract

Circ-ITCH, a novel circRNA, was generated from several exons of itchy E3 ubiquitin protein ligase (ITCH). Recently, circ-ITCH has been demonstrated to be involved in cancer development. However, there have been few investigations on the specific role of circ-ITCH in glioma. In this study, we performed quantitative real-time polymerase chain reaction analysis and identified that circ-ITCH was significantly downregulated in glioma tissues and cell lines. The function assays showed that upregulation of circ-ITCH inhibited glioma cell proliferation and invasion in vitro as well as reduced cell growth in vivo. Moreover, miR-106a-5p was found serving as a target of circ-ITCH and miR-106a-5p mimics could reverse the inhibitory effect of circ-ITCH on glioma cell proliferation and invasion. We also revealed that circ-ITCH increased SASH1 expression by sponging miR-106a-5p in glioma cells. In addition, SASH1 downregulation could abrogate the suppressive effect of circ-ITCH on glioma progression. Taken together, our results suggested that circ-ITCH could suppress glioma cell proliferation and invasion via regulating the miR-106a-5p/SASH1 axis, elucidating a novel molecular target for glioma treatment.

Keywords: Circ-ITCH, proliferation, invasion, glioma

Introduction

Glioma, one of the most common brain tumors, accounts for about 80% of all primary tumors in the central nervous system1,2. This disease usually shows various malignant features such as intense cell proliferation, diffuse infiltration, and aggressive progression3,4. These features result in a poor prognosis for most glioma patients5. Despite the great advancement in therapeutic approaches including chemotherapy and radiotherapy, the median survival time of glioma patients is short (12 to 15 months) and the 5-year survival rate is even less than 5%68. Therefore, it is imperative to identify specific glioma-related biomarkers to fight against gliomas and improve the clinical management of glioma patients.

Circular RNAs (circRNAs) are a novel class of endogenous noncoding RNAs9. They are formed by backsplicing and feature a covalently closed loop10. CircRNAs play a critical role in regulating multiple biological processes such as cellular growth, survival, and differentiation1113. Recently, a growing number of circRNAs have been reported to be aberrantly expressed in cancer, suggesting a close association of circRNAs with tumorigenesis14,15. Thus, circRNAs have become the focus of research on cancer progression because the exploration of their functions will provide a great benefit to early diagnosis and prognosis prediction. Circ-ITCH, a novel circRNA, was generated from several exons of itchy E3 ubiquitin protein ligase (ITCH) and was first identified by Memczak et al16. In a variety of studies, circ-ITCH has been demonstrated to be involved in cancer development. For example, Guo et al. found that circ-ITCH was lowly expressed in hepatocellular cancer tissues and could be considered a prognostic indicator for hepatocellular cancer17. Furthermore, Yang et al. reported that circ-ITCH was downregulated in bladder cancer tissues and cell lines and enforced expression of circ-ITCH inhibited the aggressive biological behaviors of bladder cancer18. However, there have been few investigations on the specific role of circ-ITCH in glioma.

In this study, we found that circ-ITCH was downregulated in glioma tissues and cell lines. Upregulation of circ-ITCH suppressed glioma cell proliferation and invasion in vitro as well as inhibited cell growth in vivo. Mechanistically, we revealed that circ-ITCH inhibited glioma progression by regulating the miR-106a-5p/SASH1 axis.

Materials and Methods

Patients and Tissue Samples

Human glioma tissues and adjacent normal brain tissues were collected from 48 glioma patients who received surgery at Nanjing First Hospital, Nanjing Medical University (Nanjing, China). No patients underwent chemotherapy or radiotherapy before surgery. The study was approved by the Ethics Committee of Nanjing First Hospital. All tissue samples were collected with written informed consent from each patient and then frozen in liquid nitrogen and stored at −80 °C.

Cell Lines and Cell Culture

Human glioma cell lines (U251, U87, SHG44, and A172) and normal glial cell line HEB were purchased from the Chinese Academy of Sciences (Shanghai, China) and cultured in Dulbecco’s modified Eagle’s medium (DMEM; Gibco, Rockville, MD, USA) supplemented with 10% fetal bovine serum (FBS; Gibco), 100 U/ml penicillin, and 100 µg/ml streptomycin. All cell lines were incubated at 37 °C in a humidified atmosphere with 5% carbon dioxide.

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

Total RNA was isolated from tissues or cells using the Trizol reagent (Invitrogen, Carlsbad, CA, USA) and reversely transcribed into complementary DNA (cDNA) using the PrimeScript RT reagent kit (Takara, Tokyo, Japan). RT-qPCR was performed using the SYBR Green PCR kit (Takara) on an ABI PRISM 7500 System (Applied Biosystems, Foster City, CA, USA). The following primers were used: circ-ITCH, 5′-CCTTGAGCAAGAAGACTATGCCAAT-3′ (forward) and 5′-CCGCATTCTGTGGTAAGCAATCA-3′ (reverse); SASH1, 5′-CGGGAAAGCGTCAAGTCGGA-3′ (forward) and 5′-ATCTCCTTTCTTGAGCTTGAG-3′ (reverse); GAPDH, 5′-GTCAACGGATTTGGTCTGTATT-3′ (forward) and 5′-AGTCTTCTGGGTGGCAGTGAT-3′ (reverse); miR-106a-5p, 5′-GATGCTCAAAAAGTGCTTACAGTGCA-3′ (forward) and 5′-TATGGTTGTTCTGCTCTCTGTCTC-3′ (reverse); U6, 5′-GCTTCGGCAGCACATATACTAAAAT-3′ (forward) and 5′-CGCTTCACGAATTTGCGTGTCAT-3′ (reverse). The relative expression was analyzed using the 2−ΔΔCt method.

Western Blot Analysis

Total protein was extracted from tissues or cells with radioimmunoprecipitation assay lysis buffer (Beyotime, Shanghai, China), separated by 12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis, and then transferred onto polyvinylidene difluoride membranes (Millipore, Billerica, MA, USA). After blocking in 5% skim milk, the membranes were incubated overnight at 4 °C with primary antibodies against SASH1 and β-tubulin. Subsequently, the membranes were washed 3 times and incubated with appropriate secondary antibodies at room temperature. All antibodies were obtained from Cell Signaling Technology (Danvers, MA, USA). The protein bands were visualized with an enhanced chemiluminescence system (Thermo Fisher Scientific, Waltham, MA, USA) and analyzed using the Quantity One system (Bio-Rad, Hercules, CA, USA).

Cell Transfection

Circ-ITCH overexpression plasmid pcDNA3.1-circ-ITCH and pcDNA3.1 vector were purchased from GenePharma (Shanghai, China). Short hairpin RNA (shRNA) targeting SASH1 (shSASH1), miR-106a-5p mimics, and corresponding negative controls were purchased from GeneCopoeia (Guangzhou, China). Cell transfection was performed using Lipofectamine 2000 (Invitrogen).

CCK-8 Assay

Cell proliferation was detected using the cell counting kit-8 (CCK-8) assay. Cells were seeded in a 96-well plate at a density of 2 × 103 cells/well and cultured for different time periods. Then, CCK-8 reagents (Dojindo, Tokyo, Japan) were added to each well, and cells were further incubated for 4 h. The absorbance was measured at 450 nm using a microplate reader.

Transwell Assay

Transwell chambers (8 mm pores) were used to measure cell invasion. 1 × 105 cells in serum-free DMEM medium were added to the Matrigel-coated upper chamber and DMEM medium containing 10% FBS was added to the lower chamber. After incubation for 24 h, cells invading the lower side of the insert were fixed and stained with 0.1% crystal violet. The number of invading cells from 5 random fields was counted under a microscope.

Luciferase Reporter Assay

The potential binding sites in the circ-ITCH and SASH1 3′-untranslated region (UTR) were predicted by bioinformatics analysis. Sequences containing wild-type (Wt) or mutant-type (Mut) binding sites were constructed into the pmirGLO vector (Promega, Madison, WI, USA). For the luciferase reporter assay, the reporter vectors and miRNAs were co-transfected into cells. After 48 h, luciferase activity was measured using the dual-luciferase reporter assay system (Promega).

In Vivo Xenograft Tumor Assay

The in vivo experiments were performed with the approval of the Animal Care and Use Committee of Nanjing First Hospital. BALB/c nude mice (5 weeks) were obtained from Shanghai Laboratory Animal Center (Shanghai, China) and divided into 2 groups. For the tumor growth assay, 2 × 106 U251 cells transfected with circ-ITCH or empty vector were subcutaneously injected into the left flank of mice. Tumor volume was measured every 3 days. After 21 days, tumor weight was determined, and tumors were collected for further analysis.

Statistical Analysis

Statistical analysis was performed using SPSS 17.0 software. Data were presented as means ± SD. The differences between groups were evaluated using Student’s t-test or one-way analysis of variance. P < 0.05 was considered statistically significant.

Results

Circ-ITCH Is Downregulated in Glioma Tissues and Cell Lines

In an attempt to explore the role of circ-ITCH in glioma, we first analyzed its expression in 48 pairs of glioma tissues and adjacent normal tissues by RT-qPCR. The results indicated that circ-ITCH had a lower expression in glioma tissues than in adjacent normal tissues (Fig. 1A). We further analyzed circ-ITCH expression in glioma cell lines. As shown in Fig. 1B, circ-ITCH expression was downregulated in U251, U87, SHG44, and A172 cell lines in comparison with the normal glial cell line HEB.

Figure 1.

Figure 1.

Circ-ITCH is downregulated in glioma tissues and cell lines. (A) Circ-ITCH expression in 48 paired glioma tissues and adjacent normal tissues was measured by RT-qPCR. (B) Circ-ITCH expression in glioma cell lines (U251, U87, SHG44, and A172) and normal glial cell line HEB. *P < 0.05.

Upregulation of Circ-ITCH Inhibits the Proliferation of Glioma Cells

To investigate the effect of circ-ITCH on glioma, U251 and U87 cells were transfected with the circ-ITCH expression vector to upregulate the expression of circ-ITCH in cells (Fig. 2A and B). Then, we evaluated cell proliferation. The CCK-8 assay showed that overexpression of circ-ITCH evidently suppressed U251 cell proliferation in comparison with the control group (Fig. 2C). Consistently, the proliferative ability of U87 cells was also significantly inhibited by circ-ITCH upregulation (Fig. 2D).

Figure 2.

Figure 2.

Upregulation of circ-ITCH inhibits the proliferation of glioma cells. Quantitative real-time polymerase chain reaction analysis of circ-ITCH expression in U251 (A) and U87 (B) cells after transfection. The cell counting kit-8 assay was performed to evaluate U251 (C) and U87 (D) cell proliferation. *P < 0.05.

Upregulation of Circ-ITCH Inhibits the Invasion of Glioma Cells

Then we assessed the effect of circ-ITCH upregulation on glioma cell invasion. The transwell assay indicated that the number of invading U251 cells was markedly reduced by circ-ITCH upregulation (Fig. 3A and B). We obtained similar results in U87 cells (Fig. 3A, B).

Figure 3.

Figure 3.

Upregulation of circ-ITCH inhibits the invasion of glioma cells. (A, B) The transwell assay was conducted to assess U251 and U87 cell invasion. *P < 0.05.

Circ-ITCH Serves as a Sponge of MiR-106a-5p

Previous studies reported that circRNAs could interact with miRNAs and participate in pathological processes19,20. To explore the regulatory mechanism of circ-ITCH in glioma, we analyzed the potential targets of circ-ITCH using bioinformatics tools and identified miR-106a-5p as the most possible target of circ-ITCH (Fig. 4A). We performed the luciferase reporter assay to confirm the direct interaction between miR-106a-5p and circ-ITCH. The results showed that the relative luciferase activity of circ-ITCH-Wt was obviously decreased by miR-106a-5p mimics in U251 and U87 cells (Fig. 4B, C). In addition, upregulation of circ-ITCH obviously reduced miR-106a-5p expression in U251 and U87 cells (Fig. 4D). We also found that miR-106a-5p expression was significantly increased in glioma tissues in comparison with the normal tissues (Fig. 4E). Furthermore, Pearson’s correlation analysis showed that miR-106a-5p expression was inversely correlated with the circ-ITCH level in glioma tissues (Fig. 4F).

Fig. 4.

Fig. 4.

Circ-ITCH serves as a sponge of miR-106a-5p. (A) The predicted binding site between circ-ITCH and miR-106a-5p. The luciferase assay of U251 (B) and U87 (C) cells co-transfected with indicated miRNAs and luciferase reporter containing circ-ITCH-Wt or circ-ITCH-Mut. (D) MiR-106a-5p expression was decreased in U251 and U87 cells transfected with circ-ITCH. (E) Relative expression of miR-106a-5p was determined by quantitative real-time polymerase chain reaction analysis in glioma tissues. (F) The correlation between miR-106a-5p and circ-ITCH expression in glioma tissues. *P < 0.05.

MiR-106a-5p Mimics Reverse the Effect of Circ-ITCH on Proliferation and Invasion of Glioma Cells

To better understand the link between circ-ITCH and miR-106a-5p in glioma progression, we co-transfected U251 and U87 cells with miR-106a-5p mimic and circ-ITCH overexpression vector, followed by determination of cell proliferation and invasion. The CCK-8 assay showed that upregulation of miR-106a-5p by transfection with miR-106a-5p mimics significantly abrogated the inhibitory effect of circ-ITCH on U251 and U87 cell proliferation (Fig. 5A, B). The transwell assay obtained consistent results (Fig. 5C, D).

Figure 5.

Figure 5.

MiR-106a-5p mimics reverse the effect of circ-ITCH on proliferation and invasion of glioma cells. U251 and U87 cells were co-transfected with miR-106a-5p mimic and circ-ITCH expression vector. The cell counting kit-8 and transwell assays were conducted to determine U251 and U87 cell proliferation (A, B) and invasion (C, D), respectively. *P < 0.05 versus vector; # P < 0.05 versus circ-ITCH.

SASH1 is a Direct Target of MiR-106a-5p

To further explore the underlying mechanism by which miR-106a-5p exerted its effects on glioma cells, we used bioinformatics tools and identified SASH1 as a potential downstream target of miR-106a-5p (Fig. 6A). The luciferase reporter assay showed that miR-106a-5p mimics significantly reduced the luciferase activity of SASH1-Wt in U251 and U87 cells (Fig. 6B, C). In addition, the western blot analysis showed that miR-106a-5p mimics markedly decreased the protein levels of SASH1 in U251 and U87 cells (Fig. 6D, E). We also investigated SASH1 expression in glioma tissues. The results showed that SASH1 had a lower expression in glioma tissues than in the normal tissues (Fig. 6F).

Figure 6.

Figure 6.

SASH1 is a direct target of miR-106a-5p. (A) The predicted binding site between SASH1 and miR-106a-5p. The luciferase assay of U251 (B) and U87 (C) co-transfected with indicated miRNAs and luciferase reporter containing SASH1-Wt or SASH1-Mut. SASH1 expression was detected in U251 (D) and U87 (E) cells using the western blot analysis after transfection with miR-106a-5p mimics. (F) SASH1 expression was measure in glioma tissues using the quantitative real-time polymerase chain reaction analysis. *P < 0.05.

Upregulation of Circ-ITCH Inhibits Glioma Progression via Regulating the MiR-106a-5p/SASH1 Axis

To explore whether circ-ITCH regulated SASH1 expression via mediating miR-106a-5p, we investigated the effects of circ-ITCH on SASH1 expression. The results showed that circ-ITCH upregulation obviously increased the protein levels of SASH1 in U251 and U87 cells, and this effect was abolished by miR-106a-5p mimics (Fig. 7A, B). These data suggested that circ-ITCH promoted SASH1 expression by sponging miR-106a-5p. Furthermore, we confirmed the significance of SASH1 regulation by circ-ITCH in glioma cell proliferation and invasion. The results showed that the proliferative and invasive abilities of U251 and U87 cells were decreased by circ-ITCH upregulation, and these effects were reversed by SASH1 downregulation (Fig. 7C–F).

Figure 7.

Figure 7.

Upregulation of circ-ITCH inhibits glioma progression via regulating the miR-106a-5p/SASH1 axis. The protein levels of SASH1 in U251 (A) and U87 (B) cells were measured using the western blot analysis after co-transfection with miR-106a-5p mimic and circ-ITCH expression vector. The cell counting kit-8 and transwell assays were performed to assess U251 and U87 cell proliferation (C, D) and invasion (E, F) respectively, after different treatments. *P < 0.05 versus vector; #P < 0.05 versus circ-ITCH.

Upregulation of Circ-ITCH Inhibits Glioma Cell Growth In Vivo

To determine the in vivo effect of circ-ITCH upregulation on glioma, circ-ITCH-transfected U251 cells or control cells were subcutaneously injected into nude mice. The results showed that circ-ITCH overexpression suppressed glioma cell growth in vivo (Fig. 8A). Furthermore, the average tumor weight in the circ-ITCH group was obviously lower than in the control group (Fig. 8B). We also detected the expression of related genes in the excised tumors by the RT-qPCR or western blot analysis. As shown in Fig. 8C, D, the expression levels of circ-ITCH and SASH1 were increased while those of miR-106a-5p were decreased in the circ-ITCH-transfected group in comparison with corresponding control groups.

Figure 8.

Figure 8.

Upregulation of circ-ITCH inhibits glioma cell growth in vivo. (A) Tumor volume was measured every 3 days. (B) Tumor weight was measured 21 days after injection. (C) The expression of circ-ITCH and miR-106a-5p in the excised tumor tissues was evaluated using the quantitative real-time polymerase chain reaction analysis. (D) The expression of SASH1 in the excised tumor tissues was detected by the western blot analysis. *P < 0.05.

Discussion

Previous studies have demonstrated that noncoding RNAs are important participants in the regulation of cellular functions and physiological development21. CircRNAs belong to a novel family of noncoding RNAs and have been reported to play a significant role in cancer progression9,22,23. For example, Wang et al. showed that circ-ITCH was lowly expressed in thyroid cancer cells, and its overexpression inhibited cell proliferation and invasion in vitro and impaired tumor growth in vivo 24. Hu et al. reported similar results that circ-ITCH expression was decreased in ovarian cancer cells and the increase in its expression suppressed cell proliferation and migration25. However, little is known about the biological functions of circ-ITCH in glioma.

In the present study, we found that circ-ITCH was downregulated in glioma tissues and cell lines. Function assays showed that upregulation of circ-ITCH inhibited glioma cell proliferation and invasion. Moreover, our xenograft tumor assay demonstrated that circ-ITCH overexpression suppressed glioma cell growth in vivo. These observations indicated that circ-ITCH could act as a tumor suppressor in glioma progression.

CircRNAs have been reported to regulate diverse physiological and pathological processes by serving as sponges of miRNAs19,20. For example, Liang et al. showed that circ-ABCB10 acted as the sponge of miR-1271 to promote breast cancer progression26. Han et al. found the regulatory role of the circ-BANP/miR-503/LARP1 pathway in lung cancer27. In this study, we showed that circ-ITCH could directly bind to miR-106a-5p. In diverse types of cancers, miR-106a-5p is generally documented as a crucial tumor suppressor. For example, He et al. showed that miR-106a-5p could suppress the proliferation, migration, and invasion of osteosarcoma cells by targeting HMGA228. Conversely, Li et al. demonstrated that miR-106a-5p facilitated glioblastoma cell proliferation and invasion by activating the Wnt/β-catenin pathway29. Thus, miR-106a-5p plays a significant role in tumor development. In the present study, RT-qPCR analysis showed that miR-106a-5p expression was markedly reduced in glioma cells after circ-ITCH upregulation. We also found that miR-106a-5p expression was obviously increased in glioma tissues. Moreover, we found SASH1 acting as a downstream target of miR-106a-5p. SASH1, belonging to the family of signal adapter proteins, is necessary for interaction between proteins and formation of signaling complexes30,31. Recent studies have indicated that SASH1 functions as a tumor suppressor in a variety of cancers. For example, Chen et al. reported that forced expression of SASH1 suppressed cervical cancer cell proliferation and invasion via regulating the FAK pathway32. Zong et al. showed that SASH1 overexpression inhibited TGF-β1-induced EMT in gastric cancer cells33. In this study, we showed that SASH1 had a lower expression in glioma tissues than in normal tissues. Besides, SASH1 expression was significantly increased in glioma cells after circ-ITCH upregulation, and this effect was abolished by miR-106a-5p mimics. In addition, rescue experiments showed that the proliferative and invasive abilities decreased by circ-ITCH upregulation could be reversed by SASH1 downregulation in glioma cells. These findings suggested that circ-ITCH might affect glioma progression by regulating the miR-106a-5p/SASH1 pathway.

In conclusion, we identified that circ-ITCH inhibited glioma cell proliferation and invasion through sponging miR-106a-5p and positively regulating SASH1 expression. Our study provided a new molecular target for glioma treatment.

Footnotes

Author Contributions: WC and MW were responsible for study design. STC contributed to data analysis. YZ and ZL conducted experiments. LSL wrote the manuscript. All authors revised and approved the manuscript.

Ethical Approval: Ethical approval was obtained for all experimental procedures by the Ethics Committee of Nanjing Medical University (Nanjing, China).

Statement of Human and Animal Rights: All procedures involving human subjects and animals in this study were approved by the Ethics Committee of Nanjing Medical University.

Statement of Informed Consent: All participants in this study have provided written informed consent.

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iD: Liang-Sheng Luo Inline graphic https://orcid.org/0000-0002-8485-4892

References

  • 1. Schwartzbaum JA, Fisher JL, Aldape KD, Wrensch M. Epidemiology and molecular pathology of glioma. Nat Clin Pract Neurol. 2006;2(9):494–503. [DOI] [PubMed] [Google Scholar]
  • 2. Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2017. CA Cancer J Clin. 2017;67(1):7–30. [DOI] [PubMed] [Google Scholar]
  • 3. Furnari FB, Fenton T, Bachoo RM, Mukasa A, Stommel JM, Stegh A, Hahn WC, Ligon KL, Louis DN, Brennan C, Chin L, et al. Malignant astrocytic glioma: genetics, biology, and paths to treatment. Genes Dev. 2007;21(21):2683–2710. [DOI] [PubMed] [Google Scholar]
  • 4. Goodenberger ML, Jenkins RB. Genetics of adult glioma. Cancer Genet. 2012;205(12):613–621. [DOI] [PubMed] [Google Scholar]
  • 5. Phillips HS, Kharbanda S, Chen R, Forrest WF, Soriano RH, Wu TD, Misra A, Nigro JM, Colman H, Soroceanu L, Williams PM, et al. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell. 2006;9(3):157–173. [DOI] [PubMed] [Google Scholar]
  • 6. Jansen M, Yip S, Louis DN. Molecular pathology in adult gliomas: diagnostic, prognostic, and predictive markers. Lancet Neurol. 2010;9(7):717–726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Bush NA, Chang SM, Berger MS. Current and future strategies for treatment of glioma. Neurosurg Rev. 2016;40(1):1–14. [DOI] [PubMed] [Google Scholar]
  • 8. Binder DC, Davis AA, Wainwright DA. Immunotherapy for cancer in the central nervous system: current and future directions. Oncoimmunology. 2016;5(2):e1082027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Memczak S, Jens M, Elefsinioti A, Torti F, Krueger J, Rybak A, Maier L, Mackowiak SD, Gregersen LH, Munschauer M, Loewer A, et al. Circular RNAs are a large class of animal RNAs with regulatory potency. Nature. 2013;495(7441):333–338. [DOI] [PubMed] [Google Scholar]
  • 10. Qu S, Yang X, Li X, Wang J, Gao Y, Shang R, Sun W, Dou K, Li H., Circular RNA. A new star of noncoding RNAs. Cancer Lett. 2015;365(2):141–148. [DOI] [PubMed] [Google Scholar]
  • 11. Zhao ZJ, Shen J. Circular RNA participates in the carcinogenesis and the malignant behavior of cancer. RNA Biol. 2015;14(5):514–521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Meng S, Zhou H, Feng Z, Xu Z, Tang Y, Li P, Wu M. CircRNA: functions and properties of a novel potential biomarker for cancer. Mol Cancer. 2017;16(1):94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Zhou R, Wu Y, Wang W, Su W, Liu Y, Wang Y, Fan C, Li X, Li G, Li Y, Xiong W, et al. Circular RNAs (circRNAs) in cancer. Cancer Lett. 2018;425:134–142. [DOI] [PubMed] [Google Scholar]
  • 14. Hsiao KY, Lin YC, Gupta SK, Chang N, Yen L, Sun HS, Tsai SJ. Noncoding effects of circular RNA CCDC66 promote colon cancer growth and metastasis. Cancer Res. 2017;77(9):2339–2350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Han D, Li J, Wang H, Su X, Hou J, Gu Y, Qian C, Lin Y, Liu X, Huang M, Li N, et al. Circular RNA MTO1 acts as the sponge of miR-9 to suppress hepatocellular carcinoma progression. Hepatology. 2017;66(4):1151. [DOI] [PubMed] [Google Scholar]
  • 16. Bernassola F, Karin M, Ciechanover A, Melino G. The HECT family of e3 ubiquitin ligases: multiple players in cancer development. Cancer Cell. 2008;14(1):10–21. [DOI] [PubMed] [Google Scholar]
  • 17. Guo W, Zhang J, Zhang D, Cao S, Li G, Zhang S, Wang Z, Wen P, Yang H, Shi X, Pan J, et al. Polymorphisms and expression pattern of circular RNA circ-ITCH contributes to the carcinogenesis of hepatocellular carcinoma. Oncotarget. 2017;8(29):48169–48177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Yang C, Yuan W, Yang X, Li P, Wang J, Han J, Tao J, Li P, Yang H, Lv Q, Zhang W.Circular RNA circ-ITCH inhibits bladder cancer progression by sponging miR-17/miR-224 and regulating p21, PTEN expression. Mol Cancer. 2018;17(1):19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Kulcheski FR, Christoff AP, Margis R. Circular RNAs are miRNA sponges and can be used as a new class of biomarker. J Biotechnol. 2016;238:42–51. [DOI] [PubMed] [Google Scholar]
  • 20. Toit AD. RNA: circular RNAs as miRNA sponges. Nat Rev Mol Cell Biol. 2013;14(4):195. [Google Scholar]
  • 21. Esteller M. Non-coding RNAs in human disease. Nat Rev Genet. 2011;12(12):861–874. [DOI] [PubMed] [Google Scholar]
  • 22. Wang M, Yang Y, Xu J, Bai W, Ren X, Wu H. CircRNAs as biomarkers of cancer: a meta-analysis. BMC Cancer. 2018;18(1):303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Shang Q, Yang Z, Jia R, Ge S. The novel roles of circRNAs in human cancer. Mol Cancer. 2019;18(1):6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Wang MN, Chen B, Ru ZX, Cong L. CircRNA circ-ITCH suppresses papillary thyroid cancer progression through miR-22-3p/CBL/β-catenin pathway. Biochem Biophys Res Commun. 2018;504(1):283–288. [DOI] [PubMed] [Google Scholar]
  • 25. Hu J, Wang L, Chen J, Gao H, Zhao W, Huang Y, Jiang T, Zhou J, Chen Y. The circular RNA circ-ITCH suppresses ovarian carcinoma progression through targeting miR-145/RASA1 signaling. Biochem Biophys Res Commun. 2018;505(1):222–228. [DOI] [PubMed] [Google Scholar]
  • 26. Liang HF, Zhang XZ, Liu BG, Jia GT, Li WL. Circular RNA circ-ABCB10 promotes breast cancer proliferation and progression through sponging miR-1271. Am J Cancer Res. 2017;7(7):1566–1576. [PMC free article] [PubMed] [Google Scholar]
  • 27. Han JQ, Zhao GB, Ma X, Dong Q, Zhang H, Wang Y, Cui J. CircRNA circ-BANP-mediated miR-503/LARP1 signaling contributes to lung cancer progression. Biochem Biophys Res Commun. 2018;503(4):2429–2435. [DOI] [PubMed] [Google Scholar]
  • 28. He QY, Wang GC, Zhang H, Tong DK, Ding C, Liu K, Ji F, Zhu X, Yang S. miR-106a-5p suppresses the proliferation, migration, and invasion of osteosarcoma cells by targeting HMGA2. DNA Cell Biol. 2016;35(9):506–520. [DOI] [PubMed] [Google Scholar]
  • 29. Li D, Wang Z, Chen Z, Lin L, Wang Y, Sailike D, Luo K, Du G, Xiang X, Geng DJ. MicroRNA-106a-5p facilitates human glioblastoma cell proliferation and invasion by targeting adenomatosis polyposis coli protein. Biochem Biophys Res Commun. 2016;481(3-4):245–250. [DOI] [PubMed] [Google Scholar]
  • 30. Koch CA, Anderson D, Moran MF, Ellis C, Pawson T. SH2 and SH3 domains: elements that control interactions of cytoplasmic signaling proteins. Science. 1991;252(5006):668–674. [DOI] [PubMed] [Google Scholar]
  • 31. Dauphinee SM, Clayton A, Hussainkhel A, Yang C, Park YJ, Fuller ME, Blonder J, Veenstra TD, Karsan A. SASH1 is a scaffold molecule in endothelial TLR4 signaling. J Immunol. 2013;191(2):892–901. [DOI] [PubMed] [Google Scholar]
  • 32. Chen H, Wang D, Liu Y. SASH1 inhibits cervical cancer cell proliferation and invasion by suppressing the FAK pathway. Mol Med Rep. 2016;13(4):3613–3618. [DOI] [PubMed] [Google Scholar]
  • 33. Zong W, Yu C, Wang P, Dong L. Overexpression of SASH1 Inhibits TGF-β1-Induced EMT in gastric cancer cells. Oncol Res. 2016;24(1):17–23. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Cell Transplantation are provided here courtesy of SAGE Publications

RESOURCES