Literature DB >> 29574252

Targeting Long Noncoding RNA HMMR-AS1 Suppresses and Radiosensitizes Glioblastoma.

Junyang Li1, Xiangjun Ji1, Handong Wang2.   

Abstract

Emergent evidences revealed that long noncoding RNAs (lncRNAs) participate in neoplastic progression. HMMR is an oncogene that is highly expressed in glioblastoma (GBM) and supports GBM growth. Whether lncRNAs regulate HMMR in GBM remains unknown. Herein, we identify that an HMMR antisense lncRNA, HMMR-AS1, is hyperexpressed in GBM cell lines and stabilizes HMMR mRNA. Knockdown of HMMR-AS1 reduces HMMR expression; inhibits cell migration, invasion, and mesenchymal phenotypes; and suppresses GBM cell growth both in vitro and in vivo. Moreover, knockdown of HMMR-AS1 radiosensitizes GBM by reducing DNA repair proteins ATM, RAD51, and BMI1. Our data demonstrate a mechanism of sense-antisense interference between HMMR and HMMR-AS1 in GBM and suggest that targeting HMMR-AS1 is a potential strategy for GBM treatment.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29574252      PMCID: PMC5915996          DOI: 10.1016/j.neo.2018.02.010

Source DB:  PubMed          Journal:  Neoplasia        ISSN: 1476-5586            Impact factor:   5.715


Introduction

Glioblastoma (GBM) is the most malignant brain tumor in adults, with a median survival of less than 2 years [1]. Despite the current aggressive treatments including accurate surgical section with multiple assistive techniques, normalized radiotherapy, and adjuvant TMZ chemotherapy, recurrence is inevitable and the prognosis remains poor [2]. Although clinical studies are needed to establish optimal therapeutic strategies for GBM, studies at the cellular and molecular levels are equally needed to find better therapeutic targets [3]. Hyaluronan-mediated motility receptor (HMMR) is well known as a breast cancer susceptibility oncogene that plays key roles during the neoplastic progression. Hyperexpression of HMMR has been reported in multiple cancers, including GBM, which is associated with poor outcome of patients [4], [5], [6], [7], [8]. Tilghman et al. found that HMMR supports the self-renewal and tumorigenic potential of GBM stem cells, suggesting HMMR as a novel therapeutic target for inhibiting glioblastoma [4]. Besides direct targeting HMMR by small interfering RNA (siRNA), finding other genes that regulate HMMR may also benefit GBM treatment. Recently, more and more evidences declared that noncoding RNAs (ncRNAs) play key roles in human cancer biology [9]. Those ncRNA molecules longer than 200 nucleotides are named as long noncoding RNAs (lncRNAs), regulating mRNA translation, transcriptional processes and cell development, proliferation, and apoptosis [10], [11], [12]. Antisense transcription is from the opposite strand of a protein-coding gene or a sense strand-derived RNA. Some have demonstrated that more than 63% of transcripts have antisense partners, most of which are noncoding RNAs [13], [14]. Antisense lncRNAs can function as positive and negative modulators of coding genes [15]. Several antisense lncRNAs, such as HOTAIR, TSLC1-AS1, and HIF1A-AS2, have been demonstrated to affect glioma growth [16], [17], [18], [19], [20]. The nature antisense partner of HMMR is a noncoding RNA named as HMMR antisense RNA 1 (HMMR-AS1). As far as we know, whether HMMR-AS1 regulates HMMR in GBM and the underlying molecular mechanisms remain unclear. In the present study, we investigated the effects of HMMR-AS1 on GBM in vitro and in vivo. We found that HMMR-AS1 is elevated in GBM cell lines and stabilizes HMMR mRNA. Knockdown of HMMR-AS1 decreases HMMR mRNA and protein levels; suppresses cell proliferation, migration, and invasion; and reduces expression of ataxia telangiectasia mutated kinase (ATM), RAD51, and BMI1 which are required for efficient homologous repair (HR) of DNA double-strand breaks (DSBs). We built a GBM intracranial xenograft model and found that knockdown of HMMR-AS1 inhibits GBM growth and radiosensitizes GBM in vivo. Our data identified this long noncoding RNA HMMR-AS1 regulating HMMR and inhibiting GBM propagation.

Materials and Methods

Reagents and Antibodies

The inhibitor of RNA polymerase II/III, α-amanitin, was purchased from MedChem Express (Monmouth Junction, NJ). The luciferin (in vivo grade) used for animal experiments was purchased from Promega (Madison, WI). For Western blot analysis, the primary antibodies against β-actin, c-Myc, BMI1, p27 Kip1, Cyclin D1, CDK2, CDK4, ERK1/2, p-ERK1/2(Thr202/Tyr204), ZEB1, β-Catenin, N-Cadherin, Vimentin, ATM, p-ATM, and Rad51 were all purchased from Cell Signaling Technology (Beverly, MA); HMMR#1 was purchased from OriGene (Rockville, MD); and HMMR#2 was purchased from GeneTex (Irvine, CA). For immunohistochemical (IHC) staining, the primary antibody HMMR#1 was purchased from Origene (Rockville, MD), ZEB1 was from Abcam (Cambridge, MA), and β-Catenin and Vimentin were purchased from Cell Signaling Technology (Beverly, MA).

Cell Culture

Human glioblastoma cell lines U87, U251, A172, and U118 were purchased from CBTCCCAS (Cell Bank, Type Culture Collection of Chinese Academy of Sciences). Human astrocyte cell line HA was provided by China Infrastructure of Cell Line Resources (Beijing Headquarters). All glioblastoma cell lines were cultured in Dulbecco's modified Eagle's medium supplemented with 10% fetal bovine serum and 1% penicillin-streptomycin. HA cells were cultured in complete astrocyte medium containing 1% astrocyte growth supplement, 2% fetal bovine serum, and 1% penicillin-streptomycin (ScienCell, Carlsbad, CA). Cells were maintained at 37°C in a humidified atmosphere of 95% air and 5% CO2.

siRNA Transfection

Cells were transiently transfected with siRNAs against human HMMR-AS1 or HMMR using Lipofectamine 3000 transfection reagent (Life Technologies) according to the manufacturer's instructions. HMMR-AS1 and HMMR siRNA duplexes were designed and generated by HanBio Co., Ltd. (Shanghai, China). The siRNA sequences mentioned above were as follows: siRNA-HMMR (sense: CCCUAAUGCUCACCUUUAUTT, antisense: AUAAAGGUGAGCAUUAGGGTT); siRNA-HMMR-AS1 (sense: UGGAGAAGCUGAAGCCUAATT, antisense: UUAGGCUUCAGCUUCUCCATT); negative control (sense: UUCUCCGAACGUGUCACGUTT, antisense: ACGUGA CACGUUCGGAGAATT).

Lentiviral Infection for Short Hairpin RNA (shRNA) and Gene Transfection

To establish stable HMMR or HMMR-AS1 knockdown cells, lentivirus-based shRNA targeting human HMMR or HMMR-AS1 was generated and transfected into cells. Lentivirus containing HMMR or HMMR-AS1 full-length sequences was transfected into cells for stable overexpression of HMMR or HMMR-AS1. Lentivirus containing luciferase sequence was transfected into U87 cells (U87-luc cells) for in vivo study. All lentiviral vectors mentioned above were generated by HanBio Co., Ltd. (Shanghai, China). The shRNA sequences mentioned above were as follows: shRNA-HMMR, GAGTCTTCATCAGAAGCTCTGTTCT; shRNA-HMMR-AS1, GAAGAGATTAGTGCCACCATAAGTA.

Cell Survival and Proliferation Assay

Cell Counting Kit-8 (CCK-8 kit) purchased from Dojindo Laboratories (Kumamoto, Japan) was used for cell survival and proliferation assay. For cell survival assay, cells were transplanted into 96-well plates followed by different treatments; then culture medium was discarded, and cells were cultured in 100 μl fresh serum-free medium that contained 10 μl CCK-8 solutions for 2 hours. Then, the 96-well plate was put into an enzyme-linked immunosorbent assay plate reader (Bio-Rad Laboratories, Inc., Berkeley, CA), and optical density values (absorbance) were recorded at 450 nm. The relative cell survival rate was calculated according to the absorbance compared with control. For cell proliferation assay, differently transfected cells were transplanted into 96-well plates and allowed cell growth for 4 days. Optical density values were recorded each day, and the relative cell proliferation was calculated based on the ratios of absorbance to the baseline absorbance at day 1.

Cell Migration and Invasion Assays

For cell migration assay, cells were transplanted into 24-well Transwell chambers (8-μm pore size, Corning) without Matrigel in serum-free Dulbecco's modified Eagle's medium. Conditioned medium was cultured into the lower chambers like chemoattractants, while cells in the upper chambers were differently treated. After 18-hour incubation, cells on upper surface of filters were scraped by a cotton swab, whereas cells adherent to the bottom of membrane were fixed by methanol and stained by 0.1% crystal violet. For cell invasion assay, the procedure is the same as migration assay except for coating the upper surface of filters by Matrigel (Corning) before use. Stained cells were observed and pictures were taken using a Zeiss Axio Scope.A1 microscope (Carl Zeiss, Oberkochen, Germany).

Cell Cycle Analysis by Flow Cytometry

Cell cycle analysis was performed using a FACS Calibur flow cytometer (BD Biosciences, San Jose, CA) as we described previously [21]. Briefly, cells transfected with siRNA targeting HMMR-AS1 were harvested and fixed by 75% ethanol. Cell nuclei were analyzed after staining using propidium iodide.

Cellular Immunofluorescence Assay

Cellular immunofluorescence assay was performed as we described previously [21]. Briefly, differently transfected cells were attached on coverslips, fixed by 4% paraformaldehyde, and probed with primary antibody HMMR#1 (OriGene, Rockville, MD) at 4°C overnight followed by incubation with Cy5-labeled secondary antibody (Jackson ImmunoResearch Laboratories, Inc., West Grove, PA) for 60 minutes at room temperature. DAPI (Beyotime Biotechnology, Shanghai, China) was used for staining nuclei.

Quantitative Real-Time PCR Assay

Total RNA was extracted from samples by using Trizol (Invitrogen), and then the RNA was reverse transcribed to form cDNA by SuperScript III Reverse Transcriptase (Invitrogen) as we described previously [21]. The qRT-PCR assay was performed in an ABI 7300 real-time PCR system (Applied Biosystems). The primers were: HMMR (forward: CATGGTGCAGCTCAGGAACA; reverse: AAGCTGACAGCGGAGTTTTG); HMMR-AS1 (forward: AACTCGCCTATTTAGCCTGGG; reverse: ATACCAGGAACCAGGAGTTGTGT); β-actin (forward: CACCCAGCACAATGAAGATCAAGAT; reverse: CCAGTTTTTAAATCCTGAGTCAAGC). Data analysis was performed using ΔΔCt (threshold cycle normalized by β-actin compare with control) method, and the fold-change was calculated as 2−ΔΔCt.

RNA Stability Assay

U87 cells stably expressing control shRNA, HMMR-AS1 shRNA, or HMMR shRNA were planted into six-well plates. To test the RNA stability, we treated cells with 50 μM α-amanitin and harvested cells for qRT-PCR at 6, 12, and 18 hours posttreatment.

Western Blot Analysis

Western blot analysis was performed as we described previously [21]. Briefly, the whole cell lysates were separated by SDS-PAGE and transferred to a polyvinylidene difluoride membrane. Membranes were then incubated with primary antibodies followed by secondary antibody. Immunoblots of proteins were visualized with chemiluminescent detection kit (Millipore, MA, USA). Public software ImageJ (National Institutes of Health, USA) was used to quantify the densitometry of the immunoblotting bands.

Glioblastoma Intracranial Xenograft Model

This study was approved by the institutional animal care and use committee of Jinling Hospital. First of all, U87 cells expressing luciferase (U87-luc cells) were transfected with HMMR-AS1 shRNA or control shRNA before implantation. Then, approximately 5.0 × 105 U87-luc (control shRNA or HMMR-AS1 shRNA) cells were transplanted into the right striatum of BALB/c nude mice (male at 5 to 6 weeks old) to develop a intracranial xenograft model of human glioblastoma. Tumor growth was monitored by bioluminescence using an in vivo living imaging system (IVIS Spectrum, PerkinElmer, Waltham, MA). Mice were sacrificed, and the brain tissues containing tumors were extracted, fixed, and embedded in paraffin for IHC staining.

X-Ray Irradiation

Irradiation was performed at room temperature in an RS-2000 Pro Biological Irradiator (Radsource, Buford, GA) at a dose rate of 2.13 Gy/min (maximum energy of 160 kV and 25 mA).

IHC Staining

The whole brain tissues containing tumors were obtained and paraffin-embedded. The specimen was cut as 4-μm–thick sections, and the paraffin-embedded tissue sections were deparaffinized, treated with 3% H2O2, and incubated with the primary antibody followed by incubation with HRP-labeled secondary antibody. The visualization signal was developed with 3,3′-diaminobenzidine, and then tissue sections were observed and pictures were taken.

Statistical Analysis

The SPSS, GraphPad Prism, and Microsoft Excel were used for statistical analysis. Comparisons between two groups were carried out using one-way analysis of variance or independent t test, and expressed as mean ± standard error. P < .05 was considered statistically significant.

Results

HMMR-AS1 Regulates HMMR Expression

We analyzed the levels of HMMR-AS1 transcript in human glioblastoma cell lines, U87, U251, A172, and U118, and a normal human astrocyte cell line, HA, and found that HMMR-AS1 is elevated in glioblastoma cells compared with HA (Figure 1A). Then, to investigate the effects of HMMR-AS1 on GBM cells, siRNA sequences targeting HMMR-AS1 were transiently transfected into U87 and U251 cells to knock down HMMR-AS1 expression. In transfected cells, we found not only the knockdown of targeted HMMR-AS1 transcript but also the downregulation of HMMR mRNA (Figure 1B) and protein levels (Figure 1D). The results in U87 and U251 cell lines expressing HMMR-AS1 shRNA also showed that HMMR protein is significantly reduced by knockdown of HMMR-AS1 (Figure 1, C and D). Two antibodies against HMMR (HMMR #1 and #2) produced by two different companies were used to make the data credible. The results of cellular immunofluorescence confirmed that HMMR expression was reduced in cells transfected with HMMR-AS1 shRNA (Figure 1C). The levels of ERK1/2 and phosphorylated ERK1/2, which have been demonstrated to be regulated by HMMR [4], were also reduced by knockdown of HMMR-AS1 (Figure 1D).
Figure 1

HMMR-AS1 is elevated in GBM cell lines and regulates HMMR expression. (A) Relative levels of HMMR-AS1 transcript in GBM cell lines U87, U251, A172, and U118 compared with normal human astrocyte cell line HA, which were represented as fold increases. (B) Relative levels of HMMR mRNA or HMMR-AS1 transcript in U87 and U251 cells treated with siRNA targeting HMMR-AS1. (C) HMMR expression analyzed by immunofluorescence in U87 and U251 cells transfected with HMMR-AS1 shRNA. Scale bar = 10 μm. (D) Knockdown of HMMR-AS1 by siRNA or shRNA reduces expression of HMMR and ERK1/2 and phosphorylation of ERK1/2. Knockdown of HMMR was used as positive control. Two HMMR antibodies purchased from different companies were used (HMMR#1 and #2). * P < .05. β-Actin was used as a loading control for Western blot. The blot bands were quantified by ImageJ and represented by relative values compare with loading control (1.00).

HMMR-AS1 is elevated in GBM cell lines and regulates HMMR expression. (A) Relative levels of HMMR-AS1 transcript in GBM cell lines U87, U251, A172, and U118 compared with normal human astrocyte cell line HA, which were represented as fold increases. (B) Relative levels of HMMR mRNA or HMMR-AS1 transcript in U87 and U251 cells treated with siRNA targeting HMMR-AS1. (C) HMMR expression analyzed by immunofluorescence in U87 and U251 cells transfected with HMMR-AS1 shRNA. Scale bar = 10 μm. (D) Knockdown of HMMR-AS1 by siRNA or shRNA reduces expression of HMMR and ERK1/2 and phosphorylation of ERK1/2. Knockdown of HMMR was used as positive control. Two HMMR antibodies purchased from different companies were used (HMMR#1 and #2). * P < .05. β-Actin was used as a loading control for Western blot. The blot bands were quantified by ImageJ and represented by relative values compare with loading control (1.00).

HMMR-AS1 Stabilizes HMMR mRNA

In U87 or HA cell line stably transfected with full-length sequence of HMMR-AS1, overexpression of HMMR-AS1 did not increase HMMR mRNA (Figure 2A) or protein level (Figure 2, B and C). We assume that, as a nature antisense transcript, HMMR-AS1 may act to stabilize the HMMR transcript rather than elevate it. To assess the effects of HMMR-AS1 on HMMR stability, we used an inhibitor of RNA polymerase II/III, α-amanitin, to block new RNA synthesis and measured the loss of HMMR after 18 hours. The loss of HMMR mRNA in U87 cells expressing HMMR-AS1 shRNA is faster than that in control cells, indicating that depletion of HMMR-AS1 decreases the stability of HMMR transcript (Figure 2D).
Figure 2

HMMR-AS1 stabilizes HMMR mRNA. (A) Relative levels of HMMR-AS1 and HMMR mRNA in U87 and HA cells transfected with lentivirus containing HMMR-AS1 full-length sequence compare with control. (B) HMMR protein expression tested by Western blot in cells that HMMR-AS1 was downregulated or upregulated. (C) HMMR protein expression tested by immunofluorescence in control cells or cells with HMMR-AS1 or HMMR overexpression. Scale bar = 10 μm. (D) U87 cells differently transfected were treated with 50 μM α-amanitin for 6, 12, or 18 hours. Cells were then harvested for qRT-PCR to test the loss of HMMR mRNA. 18s RNA, a product of RNA polymerase I, was not affected by α-amanitin. Cells transfected with HMMR shRNA were used as positive control. β-Actin was used as a loading control for Western blot. The blot bands were quantified by ImageJ and represented by relative values compare with loading control (1.00). #P > .05, *P < .05. HA: human astrocyte cell line; overexpr.: overexpression.

HMMR-AS1 stabilizes HMMR mRNA. (A) Relative levels of HMMR-AS1 and HMMR mRNA in U87 and HA cells transfected with lentivirus containing HMMR-AS1 full-length sequence compare with control. (B) HMMR protein expression tested by Western blot in cells that HMMR-AS1 was downregulated or upregulated. (C) HMMR protein expression tested by immunofluorescence in control cells or cells with HMMR-AS1 or HMMR overexpression. Scale bar = 10 μm. (D) U87 cells differently transfected were treated with 50 μM α-amanitin for 6, 12, or 18 hours. Cells were then harvested for qRT-PCR to test the loss of HMMR mRNA. 18s RNA, a product of RNA polymerase I, was not affected by α-amanitin. Cells transfected with HMMR shRNA were used as positive control. β-Actin was used as a loading control for Western blot. The blot bands were quantified by ImageJ and represented by relative values compare with loading control (1.00). #P > .05, *P < .05. HA: human astrocyte cell line; overexpr.: overexpression.

HMMR-AS1 Affects GBM Cell Proliferation, Migration, and Invasion

To investigate the effects of HMMR-AS1 on GBM cell growth, we treated U87 and U251 cells with HMMR-AS1 siRNA for 72 hours. The results showed that siRNA targeting HMMR-AS1 significantly inhibits cell survival (Figure 3A). Then, we investigated whether stable transfection of HMMR-AS1 shRNA affects the proliferation of U87 and U251 cells. Cells were allowed to grow for 4 days. We found that the proliferation of cells transfected with HMMR-AS1 shRNA is significantly inhibited (Figure 3, B and C).
Figure 3

Knockdown of HMMR-AS1 inhibits cell growth and induces cell cycle G1 phase arrest. (A) Cells were transfected with control siRNA or siRNA targeting HMMR-AS1, and cell survival was detected by using CCK-8 kit. U87 (B) or U251 (C) cells were transfected with HMMR-AS1 shRNA and planted in 96-well plates for 4 days. Cell proliferation was detected by using CCK-8 kit every day. U87 cells were transfected with control siRNA (D) or siRNA targeting HMMR-AS1 (E), and cell cycle was analyzed by flow cytometry (F). (G) Several cell cycle regulators were detected by Western blot analysis. β-Actin was used as a loading control. The blot bands were quantified by ImageJ and represented by relative values compared with loading control (1.00). *P < .05.

Knockdown of HMMR-AS1 inhibits cell growth and induces cell cycle G1 phase arrest. (A) Cells were transfected with control siRNA or siRNA targeting HMMR-AS1, and cell survival was detected by using CCK-8 kit. U87 (B) or U251 (C) cells were transfected with HMMR-AS1 shRNA and planted in 96-well plates for 4 days. Cell proliferation was detected by using CCK-8 kit every day. U87 cells were transfected with control siRNA (D) or siRNA targeting HMMR-AS1 (E), and cell cycle was analyzed by flow cytometry (F). (G) Several cell cycle regulators were detected by Western blot analysis. β-Actin was used as a loading control. The blot bands were quantified by ImageJ and represented by relative values compared with loading control (1.00). *P < .05. Next, we analyzed the cell cycle of U87 cells transfected with HMMR-AS1 siRNA by using flow cytometry. We found that siRNA targeting HMMR-AS1 increases cells in G1 phase and decreases cells in S phase (Figure 3, D-F). We measured the levels of several cell cycle regulators and found that siRNA transfection increases p27 Kip1 level and decreases expression of CDK2, c-Myc, BMI1, Cyclin D1, and CDK4 (Figure 3G). These results indicated that knockdown of HMMR-AS can block cells to pass the restriction (R) point which is necessary for G1 phase progression and S phase entry and arrest cells in cell cycle G1 phase. Then, we assessed cell migration and invasion by using Transwell chambers. Cells expressing HMMR-AS1 shRNA were transplanted into the chambers for analysis. Our data showed that knockdown of HMMR-AS1 impairs both cell migratory (Figure 4A) and invasive capability (Figure 4B). We also found that knockdown of HMMR-AS1 reduces expression of mesenchymal phenotypes, such as N-cadherin, β-Catenin, ZEB1, and Vimentin (Figure 4C).
Figure 4

Knockdown of HMMR-AS1 inhibits cell migration and invasion. U87 and U251 cells were transfected with control shRNA or HMMR-AS1 shRNA. (A) Cell migration was analyzed by using Transwell chambers without Matrigel. Scale bar = 50 μm. (B) Cell invasion was analyzed by using Matrigel-coated Transwell chambers. Scale bar = 50 μm. (C) Expression of mesenchymal phenotypes in cells transfected with HMMR-AS1 shRNA was detected by using Western blot. β-Actin was used as a loading control. The blot bands were quantified by ImageJ and represented by relative values compare with loading control (1.00). *P < .05.

Knockdown of HMMR-AS1 inhibits cell migration and invasion. U87 and U251 cells were transfected with control shRNA or HMMR-AS1 shRNA. (A) Cell migration was analyzed by using Transwell chambers without Matrigel. Scale bar = 50 μm. (B) Cell invasion was analyzed by using Matrigel-coated Transwell chambers. Scale bar = 50 μm. (C) Expression of mesenchymal phenotypes in cells transfected with HMMR-AS1 shRNA was detected by using Western blot. β-Actin was used as a loading control. The blot bands were quantified by ImageJ and represented by relative values compare with loading control (1.00). *P < .05.

HMMR-AS1 Affects GBM Growth In Vivo

To investigate whether knockdown of HMMR-AS1 inhibits glioblastoma growth in vivo, we built a glioblastoma intracranial xenograft model. U87-luc cells transfected with control shRNA or HMMR-AS1 shRNA were separately transplanted into the right striatum of nude mice, and tumor growth was monitored by bioluminescence in vivo imaging. The bioluminescence signal was captured at day 6, 12, 18, and 24 after cell implantation, and the signal intensity represented the size of transplanted tumor. Our data showed that tumors are smaller in HMMR-AS1 shRNA group (n = 3) than those in control group (n = 3) (Figure 5, A and B). The growth curves of individual tumors based on the ratios of bioluminescence signals to the baseline signals at day 6 indicated that the growth of tumors expressing HMMR-AS1 shRNA is significantly inhibited (Figure 5C). The IHC staining showed that expression of HMMR, β-Catenin, ZEB1, and Vimentin is decreased in tumor cells expressing HMMR-AS1 shRNA (Figure 5, D-F).
Figure 5

Knockdown of HMMR-AS1 inhibits glioblastoma growth in vivo. U87-luc cells transfected with a control shRNA or HMMR-AS1 shRNA were separately transplanted into the right striatum of nude mice. Tumor growth was monitored by bioluminescence in vivo imaging. (A) The bioluminescence signal was captured at day 6, 12, 18, and 24 after cell implantation. (B) The signal intensity represented the size of transplanted tumor. (C) The growth curves of individual tumors were based on the ratios of bioluminescence signals to the baseline signals at day 6. (D) The H&E and IHC staining of HMMR for mice brain sections. Scale bar = 2 mm. (E) IHC staining showed that HMMR expression is decreased in tumors expressing HMMR-AS1 shRNA. Scale bar = 50 μm. (F) IHC staining showed that the expression of mesenchymal phenotypes β-Catenin, ZEB1, and Vimentin is decreased in tumors expressing HMMR-AS1 shRNA. Scale bar = 50 μm. *P < .05.

Knockdown of HMMR-AS1 inhibits glioblastoma growth in vivo. U87-luc cells transfected with a control shRNA or HMMR-AS1 shRNA were separately transplanted into the right striatum of nude mice. Tumor growth was monitored by bioluminescence in vivo imaging. (A) The bioluminescence signal was captured at day 6, 12, 18, and 24 after cell implantation. (B) The signal intensity represented the size of transplanted tumor. (C) The growth curves of individual tumors were based on the ratios of bioluminescence signals to the baseline signals at day 6. (D) The H&E and IHC staining of HMMR for mice brain sections. Scale bar = 2 mm. (E) IHC staining showed that HMMR expression is decreased in tumors expressing HMMR-AS1 shRNA. Scale bar = 50 μm. (F) IHC staining showed that the expression of mesenchymal phenotypes β-Catenin, ZEB1, and Vimentin is decreased in tumors expressing HMMR-AS1 shRNA. Scale bar = 50 μm. *P < .05.

HMMR-AS1 Affects GBM Radiosensitivity

To investigate whether knockdown of HMMR-AS1 improves the cytotoxic effects of irradiation on GBM cells, U87 and U251 cells stably transfected with HMMR-AS1 shRNA were exposed to 4-Gy X-ray irradiation, and the cell growth was measured after 96 hours. We found that cells transfected with HMMR-AS1 shRNA were more sensitive to X-ray irradiation (Figure 6A).
Figure 6

Knockdown of HMMR-AS1 sensitizes glioblastoma to X-ray irradiation in vitro and in vivo. U87 and U251 cells were transfected with control or HMMR-AS1 shRNA, and cells were exposed to 4-Gy X-ray irradiation. (A) Cell survival was detected using CCK-8 kit. (B) ATM and p-ATM levels were detected by using Western blot. (C) U87 and U251 cells were transfected with HMMR-AS1 siRNA or shRNA, and the expression of RAD51 and BMI1 was detected by using Western blot. (D) U87-luc cells transfected with a control shRNA or HMMR-AS1 shRNA were separately transplanted into the right striatum of nude mice. Mice were exposed to a total dosage of 12-Gy X-ray. (E) The bioluminescence signal was captured at day 10 and 16 postirradiation, and the signal intensity represented the size of transplanted tumor. (F) The growth curves of individual tumors were based on the ratios of bioluminescence signals to the baseline signals at day 0. β-Actin was used as a loading control. The blot bands were quantified by ImageJ and represented by relative values compare with loading control (1.00). *P < .05.

Knockdown of HMMR-AS1 sensitizes glioblastoma to X-ray irradiation in vitro and in vivo. U87 and U251 cells were transfected with control or HMMR-AS1 shRNA, and cells were exposed to 4-Gy X-ray irradiation. (A) Cell survival was detected using CCK-8 kit. (B) ATM and p-ATM levels were detected by using Western blot. (C) U87 and U251 cells were transfected with HMMR-AS1 siRNA or shRNA, and the expression of RAD51 and BMI1 was detected by using Western blot. (D) U87-luc cells transfected with a control shRNA or HMMR-AS1 shRNA were separately transplanted into the right striatum of nude mice. Mice were exposed to a total dosage of 12-Gy X-ray. (E) The bioluminescence signal was captured at day 10 and 16 postirradiation, and the signal intensity represented the size of transplanted tumor. (F) The growth curves of individual tumors were based on the ratios of bioluminescence signals to the baseline signals at day 0. β-Actin was used as a loading control. The blot bands were quantified by ImageJ and represented by relative values compare with loading control (1.00). *P < .05. To further reveal the mechanisms, we measured the expression of ATM, RAD51, and BMI1 in cells. ATM is the master kinase in the process of DNA repair responding to irradiation [22]. RAD51 and BMI1 are downstream of ATM and are required for efficient HR of DNA DSBs [23], [24]. Our data showed that knockdown of HMMR-AS1 reduces expression of ATM and irradiation-increased phosphorylation of ATM (Figure 6B). Moreover, knockdown of HMMR-AS1 by either transiently transfected siRNA or stably transfected shRNA reduces the expression of RAD51 and BMI1 (Figure 6C). Then, we assessed whether knockdown of HMMR-AS1 sensitizes GBM to X-ray irradiation in vivo. U87-Fluc reporter cells expressing HMMR-AS1 shRNA were orthotopically transplanted into the right striatum of nude mice. A total dosage of 12 Gy (3 Gy each day for 4 consecutive days) whole brain X-ray radiotherapy was administrated with a dedicated small animal radiotherapy device. The bioluminescence signal was captured at day 10 and 16 postirradiation (Figure 6D). The bioluminescence signals of individual tumors and the growth curves of tumors based on the ratios of signals to day 0 indicated that tumors expressing HMMR-AS1 shRNA (n = 3) are more sensitive to radiotherapy than control (n = 3) (Figure 6, E and F).

Discussion

As the partners of protein-coding genes, most antisense transcripts are noncoding in the mammalian genome, although some of them have been demonstrated to encode peptides [25], [26], [27], [28], [29]. Antisense transcripts are variously expressed in different tissues and cell lines and are not always linked to expression of the sense gene [13], [30], [31], [32], indicating their complicated regulatory effects. Lots of functional antisense transcripts in mammalian genomes and the proposed mechanisms for antisense-mediated regulation of sense mRNA have been reported [33]. One noteworthy mechanism of antisense interfering sense is to alter sense mRNA stability and then regulate sense-encoded protein. A BACE1 antisense transcript, BACE1-AS, has been found to be elevated in Alzheimer's disease and increases BACE1 mRNA stability and protein expression [34]. Nature antisense transcript of inducible nitric oxide synthase gene has been reported to increase the stability of inducible nitric oxide synthase mRNA and participate in NO-mediating inflammatory diseases [35]. A Sirt1 antisense lncRNA was found to interact with Sirt1 mRNA, forming RNA duplex to stabilize Sirt1 [36]. On the contrary, in cases of sense-antisense interaction, some antisense transcripts were identified to inhibit sense protein expression by stalling translation [37], [38], [39]. In the present study, we demonstrated that an HMMR antisense RNA, HMMR-AS1, is elevated in GBM cells and regulates HMMR expression. Knockdown of HMMR-AS1 reduced both HMMR mRNA and protein levels, whereas ectopic overexpression of HMMR-AS1 did not affect HMMR expression. Thus, we assumed that HMMR-AS1 may act to stabilize HMMR structurally rather than promote or stall its expression. To define the sense-antisense interference between HMMR and HMMR-AS1, we analyzed the stability of HMMR mRNA by using α-amanitin and found that knockdown of HMMR-AS1 destabilizes HMMR mRNA. Since HMMR-AS1 is hyperexpressed in GBM cells, we investigated whether knockdown of HMMR-AS1 affects cell growth. We separately used siRNAs or shRNA targeting HMMR-AS1 to transfect GBM cells and found that knockdown of HMMR-AS1 suppresses cell growth both in vitro and in vivo. In U87 cells transfected with HMMR-AS1 siRNA, cell cycle was blocked to pass the restriction (R) point which is necessary for G1 phase progression and S phase entry, and several cell cycle regulators (CDK2, CDK4, Cyclin D1, and p27 Kip1) were involved. We also found that knockdown of HMMR-AS1 reduces phosphorylation of ERK1/2 and expression of BMI1 and c-Myc. ERK1/2 and BMI1 have been reported as the downstream factors of HMMR in maintaining the malignancy of GBM [4]; thus, HMMR-AS1 may regulate ERK1/2 and BMI1 by altering HMMR expression. c-Myc functions as a transcriptional regulator with roles in cell proliferation and differentiation, and has been reported as a downstream regulator of ERK1/2 signaling in lung tumorigenesis [40]. Although no reported study ever mentioned whether HMMR can directly regulate c-Myc expression in GBM, we assumed that HMMR-AS1 may regulate c-Myc through HMMR/ERK1/2 signaling, yet further studies are needed to reveal the mechanisms. Moreover, we found that knockdown of HMMR-AS1 inhibits GBM cell migration, invasion, and the mesenchymal phenotypes. As a hyaluronan receptor, HMMR has ever been identified to be required for epicardial cell epithelial-mesenchymal transition (EMT) and migration [41]. Hyperexpression of HMMR has been reported to promote mitotic spindle formation and cell motility [42], [43] and is associated with cancer aggressiveness, metastatic outgrowths, and poor prognosis [5], [44]. Thus, HMMR-AS1 may affect cell migration and invasion by regulating HMMR expression. Clinically, GBMs are characterized by resistance to radiotherapy. A major mechanism of radioresistance is through activation of DNA repair pathways responding to DNA DSBs [45], [46]. ATM is the master regulator in DNA repair responses which plays critical roles in conferring GBM radioresistance, targeting which provides a strategy for GBM radiosensitization and growth control [47], [48]. RAD51 and BMI1 are both ATM downstream DNA repair proteins involved in HR of DSBs [23], [24], [49]. RAD51 is overexpressed and contributes to radioresistance in malignant gliomas [50], and BMI1 is enriched in GBM cells as a component of the DNA damage response machinery [24], [49]. Inhibition of RAD51 has been shown to radiosensitize glioma stem cells [51], and BMI1 deficiency in GBM cells severely impaired DNA DSB response, resulting in increased sensitivity to radiation [49]. Our study revealed that knockdown of HMMR-AS1 reduces irradiation-induced phosphorylation of ATM and the levels of RAD51 and BMI1, sensitizing GBM to X-ray irradiation in vitro and in vivo.

Conclusions

This study demonstrates that an HMMR antisense RNA, HMMR-AS1, is hyperexpressed in GBM cells and participates in cell growth, migration, and invasion by regulating HMMR expression. Knockdown of HMMR-AS1 suppresses and radiosensitizes GBM in vitro and in vivo. Our new findings reveal a mechanism of sense-antisense interference between HMMR and HMMR-AS1, provide a supportive evidence for targeting long noncoding RNA to GBM, and suggest HMMR-AS1 as a potential target for GBM treatment.

Financial Support

This work was supported by National Natural Science Foundation of China (grant numbers 81301905, 81672503); and Natural Science Foundation of Jiangsu Province (grant number BK20140731).
  51 in total

Review 1.  The bright side of dark matter: lncRNAs in cancer.

Authors:  Joseph R Evans; Felix Y Feng; Arul M Chinnaiyan
Journal:  J Clin Invest       Date:  2016-08-01       Impact factor: 14.808

2.  Short-Course Radiation plus Temozolomide in Elderly Patients with Glioblastoma.

Authors:  James R Perry; Normand Laperriere; Christopher J O'Callaghan; Alba A Brandes; Johan Menten; Claire Phillips; Michael Fay; Ryo Nishikawa; J Gregory Cairncross; Wilson Roa; David Osoba; John P Rossiter; Arjun Sahgal; Hal Hirte; Florence Laigle-Donadey; Enrico Franceschi; Olivier Chinot; Vassilis Golfinopoulos; Laura Fariselli; Antje Wick; Loic Feuvret; Michael Back; Michael Tills; Chad Winch; Brigitta G Baumert; Wolfgang Wick; Keyue Ding; Warren P Mason
Journal:  N Engl J Med       Date:  2017-03-16       Impact factor: 91.245

3.  Overexpression of the receptor for hyaluronan-mediated motility (RHAMM) characterizes the malignant clone in multiple myeloma: identification of three distinct RHAMM variants.

Authors:  M Crainie; A R Belch; M J Mant; L M Pilarski
Journal:  Blood       Date:  1999-03-01       Impact factor: 22.113

4.  BMI1 confers radioresistance to normal and cancerous neural stem cells through recruitment of the DNA damage response machinery.

Authors:  Sabrina Facchino; Mohamed Abdouh; Wassim Chatoo; Gilbert Bernier
Journal:  J Neurosci       Date:  2010-07-28       Impact factor: 6.167

5.  Natural antisense transcript stabilizes inducible nitric oxide synthase messenger RNA in rat hepatocytes.

Authors:  Kosuke Matsui; Mikio Nishizawa; Takashi Ozaki; Tominori Kimura; Iwao Hashimoto; Masanori Yamada; Masaki Kaibori; Yasuo Kamiyama; Seiji Ito; Tadayoshi Okumura
Journal:  Hepatology       Date:  2008-02       Impact factor: 17.425

6.  Expression of a noncoding RNA is elevated in Alzheimer's disease and drives rapid feed-forward regulation of beta-secretase.

Authors:  Mohammad Ali Faghihi; Farzaneh Modarresi; Ahmad M Khalil; Douglas E Wood; Barbara G Sahagan; Todd E Morgan; Caleb E Finch; Georges St Laurent; Paul J Kenny; Claes Wahlestedt
Journal:  Nat Med       Date:  2008-06-29       Impact factor: 53.440

7.  LncRNA TSLC1-AS1 is a novel tumor suppressor in glioma.

Authors:  Xiaoyong Qin; Jie Yao; Peiliang Geng; Xiangping Fu; Jinghui Xue; Zhiwen Zhang
Journal:  Int J Clin Exp Pathol       Date:  2014-05-15

8.  Elevated hyaluronan and hyaluronan-mediated motility receptor are associated with biochemical failure in patients with intermediate-grade prostate tumors.

Authors:  Anthony E Rizzardi; Rachel Isaksson Vogel; Joseph S Koopmeiners; Colleen L Forster; Lauren O Marston; Nikolaus K Rosener; Natalia Akentieva; Matthew A Price; Gregory J Metzger; Christopher A Warlick; Jonathan C Henriksen; Eva A Turley; James B McCarthy; Stephen C Schmechel
Journal:  Cancer       Date:  2014-03-25       Impact factor: 6.860

9.  Rad51 inhibition is an effective means of targeting DNA repair in glioma models and CD133+ tumor-derived cells.

Authors:  Susan C Short; Silvia Giampieri; Mulugeta Worku; Marisa Alcaide-German; George Sioftanos; Sara Bourne; Ka Ian Lio; Maya Shaked-Rabi; Christine Martindale
Journal:  Neuro Oncol       Date:  2011-03-01       Impact factor: 12.300

10.  Peptidomic discovery of short open reading frame-encoded peptides in human cells.

Authors:  Sarah A Slavoff; Andrew J Mitchell; Adam G Schwaid; Moran N Cabili; Jiao Ma; Joshua Z Levin; Amir D Karger; Bogdan A Budnik; John L Rinn; Alan Saghatelian
Journal:  Nat Chem Biol       Date:  2012-11-18       Impact factor: 15.040

View more
  23 in total

Review 1.  Delivering the Promise of Gene Therapy with Nanomedicines in Treating Central Nervous System Diseases.

Authors:  Meihua Luo; Leo Kit Cheung Lee; Bo Peng; Chung Hang Jonathan Choi; Wing Yin Tong; Nicolas H Voelcker
Journal:  Adv Sci (Weinh)       Date:  2022-07-18       Impact factor: 17.521

Review 2.  The importance of RHAMM in the normal brain and gliomas: physiological and pathological roles.

Authors:  Daniela Poodts; Yamila Molinari; Matías A Pibuel; Mariángeles Díaz; Sofía Amoia; Agustín Byrne; Silvia Hajos; Silvina Lompardía; Paula Franco
Journal:  Br J Cancer       Date:  2022-10-07       Impact factor: 9.075

Review 3.  The Mechanism of Long Non-coding RNA in Cancer Radioresistance/Radiosensitivity: A Systematic Review.

Authors:  Wenhan Wu; Shijian Zhang; Jia He
Journal:  Front Pharmacol       Date:  2022-05-05       Impact factor: 5.988

Review 4.  The protean world of non-coding RNAs in glioblastoma.

Authors:  Ramasamy Paulmurugan; Meenakshi Malhotra; Tarik F Massoud
Journal:  J Mol Med (Berl)       Date:  2019-05-25       Impact factor: 4.599

5.  LINC01094 triggers radio-resistance in clear cell renal cell carcinoma via miR-577/CHEK2/FOXM1 axis.

Authors:  Yufeng Jiang; Wei Li; Yang Yan; Xudong Yao; Wenyu Gu; Haimin Zhang
Journal:  Cancer Cell Int       Date:  2020-06-24       Impact factor: 5.722

6.  Long non-coding RNA LINC00526 represses glioma progression via forming a double negative feedback loop with AXL.

Authors:  Jian Yan; Chunhua Xu; Youping Li; Bin Tang; Shenhao Xie; Tao Hong; Erming Zeng
Journal:  J Cell Mol Med       Date:  2019-06-26       Impact factor: 5.310

7.  LINC00671 suppresses cell proliferation and metastasis in pancreatic cancer by inhibiting AKT and ERK signaling pathway.

Authors:  Shibin Qu; Kunwei Niu; Jianlin Wang; Jimin Dai; Anutosh Ganguly; Chao Gao; Yuzi Tian; Zhibin Lin; Xisheng Yang; Xuan Zhang; Zhengcai Liu; Haimin Li
Journal:  Cancer Gene Ther       Date:  2020-08-15       Impact factor: 5.987

8.  ceRNA network development and tumor-infiltrating immune cell analysis in hepatocellular carcinoma.

Authors:  Li Chen; Weijie Zou; Lei Zhang; Huijuan Shi; Zhi Li; Caifang Ni
Journal:  Med Oncol       Date:  2021-06-19       Impact factor: 3.064

Review 9.  Natural antisense transcripts in the biological hallmarks of cancer: powerful regulators hidden in the dark.

Authors:  Shanshan Zhao; Xue Zhang; Shuo Chen; Song Zhang
Journal:  J Exp Clin Cancer Res       Date:  2020-09-14

Review 10.  Targeting Long Noncoding RNA in Glioma: A Pathway Perspective.

Authors:  Junyang Li; Yihao Zhu; Handong Wang; Xiangjun Ji
Journal:  Mol Ther Nucleic Acids       Date:  2018-10-02       Impact factor: 8.886

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.