Open Access

TAGLN2 is a candidate prognostic biomarker promoting tumorigenesis in human gliomas

  • Ming-Zhi Han1,
  • Ran Xu1,
  • Yang-Yang Xu1,
  • Xin Zhang1,
  • Shi-Lei Ni1,
  • Bin Huang1,
  • An-Jing Chen1,
  • Yu-Zhen Wei1,
  • Shuai Wang1,
  • Wen-Jie Li1,
  • Qing Zhang1,
  • Gang Li1,
  • Xin-Gang Li1Email author and
  • Jian Wang1, 2Email author
Contributed equally
Journal of Experimental & Clinical Cancer Research201736:155

https://doi.org/10.1186/s13046-017-0619-9

Received: 23 January 2017

Accepted: 9 October 2017

Published: 6 November 2017

Abstract

Background

Transgelin-2 (TAGLN2) is a member of the calponin family of actin-bundling proteins that is involved in the regulation of cell morphology, motility, and cell transformation. Here, the clinical significance and potential function of TAGLN2 in malignant gliomas were investigated.

Methods

Molecular and clinical data was obtained from The Cancer Genome Atlas (TCGA) database. Gene ontology and pathway analysis was used to predict potential functions of TAGLN2. RNA knockdown was performed using siRNA or lentiviral contructs in U87MG and U251 glioma cell lines. Cells were characterized in vitro or implanted in vivo to generate orthotopic xenografts in order to assess molecular status, cell proliferation/survival, and invasion by Western blotting, flow cytometry, and 3D tumor spheroid invasion assay, respectively.

Results

Increased TAGLN2 expression was associated with increasing tumor grade (P < 0.001), the mesenchymal molecular glioma subtype and worse prognosis in patients (P < 0.001). Immunohistochemistry performed with anti-TAGLN2 on an independent cohort of patients (n = 46) confirmed these results. Gene silencing of TAGLN2 in U87MG and U251 significantly inhibited invasion and tumor growth in vitro and in vivo. Western blot analysis revealed that epithelial-mesenchymal transition (EMT) molecular markers, such as N-cadherin, E-cadherin, and Snail, were regulated in a manner corresponding to suppression of the EMT phenotype in knockdown experiments. Finally, TAGLN2 was induced ~ 2 to 3-fold in U87MG and U251 cells by TGFβ2, which was also elevated in GBM and highly correlated with TAGLN2 mRNA levels (P < 0.001).

Conclusions

Our findings indicate that TAGLN2 exerts a role in promoting the development of human glioma. The regulation and function of TAGLN2 therefore renders it as a candidate molecular target for the treatment of GBM.

Keywords

TAGLN2GliomaEMTCell cycleTGFβ signaling

Background

Human gliomas are the most common and deadly type of primary intracranial tumors and account for approximately 80% of all primary brain malignancies. Gliomas are histopathologically classified into four tumor grades (I–IV) according to the World Health Organization (WHO). WHO grade IV or glioblastoma multiforme (GBM) confers the worst prognosis, with a median survival time of merely 12 to 15 months following primary diagnosis [1, 2].

With advancement of gene technology, molecular signatures have become prominent in the classification of gliomas in recent years. Whole-genome analysis of patient cases through The Cancer Genome Atlas (TCGA), revealed a molecular classification scheme for GBM which includes four molecular subtypes: proneural, neural, classical, and mesenchymal. Among these four subtypes, the mesenchymal subtype was distinguished from the others as being particularly aggressive [35]. Thus, there is an urgent need for the exploration of novel biomarkers and therapeutic targets for GBM molecularly classified as the mesenchymal subtype.

Transgelin-2 (TAGLN2) is an actin-cross-linking protein containing a calponin homolog (CH) domain, with a molecular weight of 24 kDa. It has been reported that TAGLN2 is involved in the regulation of cell transformation and cell morphology [6, 7]. More recently, the dysregulation of TAGLN2 in a variety of malignant tumor types, including colorectal cancer [8], bladder cancer [9], lung cancer [10], uterine cervical squamous cell carcinoma [11], and breast cancer [12], has been discovered through proteomic analysis, and thus reveals an important role for TAGLN2 in tumor progression. The expression pattern and clinical significance of TAGLN2 in human gliomas, however, have not been determined. Furthermore, it remains unknown as to whether TAGLN2, because of its role in cell transformation and cell morphology, is involved in the regulation of the epithelial-mesenchymal transition (EMT).

Here, we used publicly available datasets to determine the pattern of TAGLN2 expression in human gliomas, and its relationship with tumor grade, and other clinicopathological indicators and molecular features of gliomas. TAGLN2 function was investigated both in vitro and in vivo as well as potential pathways regulating it. Our findings indicate that TAGLN2 might be a significant prognostic indicator and a potential therapeutic target for human gliomas.

Methods

Clinical specimens and databases

Archived paraffin embedded glioma tissues (WHO grades II-IV) were collected from patients (n = 46) who underwent surgery in the Department of Neurosurgery, Qilu Hospital of Shandong University. Normal brain tissue samples (n = 5) were taken from trauma patients who underwent partial resection of normal brain as decompression treatment for severe head injuries. mRNA expression microarray data and accompanying clinical information for samples in The Cancer Genome Atlas Research Network (n = 667; TCGA, http://cancergenome.nih.gov) were used for analysis. Four external independent glioma databases (Rembrandt, CGGA, Gravendeel, and GSE4271) were also mined.

Immunohistochemistry (IHC)

Sections (4 μm) were obtained from formalin-fixed, paraffin-embedded tissues of different grades of human gliomas. Sections were boiled in sodium citrate buffer (pH 6.0) for antigen retrieval, and endogenous HRP activity was blocked with 3% H2O2. Slides were blocked with 10% normal goat serum and incubated with primary antibody (mouse anti-TAGLN2 monoclonal antibody, 1:25; Santa Cruz; Dallas, TX, USA) at 4 °C overnight. Signal was visualized using standard protocols with horse radish peroxidase conjugated secondary antibody and 3, 3′-diaminobenzidine (DAB) as the substrate. For negative controls, sections were incubated with normal mouse serum rather than primary antibody. Slides were counterstained with hematoxylin, and representative images were obtained using an Olympus inverted microscope.

Cell culture

U87MG and U251 human GBM cell lines were purchased from the Culture Collection of the Chinese Academy of Sciences (Shanghai, China), and cultured in Dulbecco’s modified Eagle’s medium (DMEM; Thermo Fisher Scientific; Waltham, MA, USA) supplemented with 10% fetal bovine serum (FBS; Thermo Fisher Scientific, USA). The patient-derived primary GBM cells (GBM#P3, mesenchymal subtype) were kindly provided by Professor Rolf Bjerkvig, Department of Biomedicine, University of Bergen, Norway. GBM#P3 cells were cultured in Neurobasal Medium (Thermo Fisher Scientific; Waltham, MA, USA) containing B27 supplement (20 μL/mL), FGF (20 ng/mL) and EGF (20 ng/mL). Cells were maintained at 37 °C in a humidified chamber containing 5% CO2.

Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analysis

Correlation analysis of TAGLN2 was performed in gene expression profiles available in the TCGA dataset with Matlab software (https://cn.mathworks.com). To identify biological processes and the KEGG signaling pathways associated with TAGLN2 expression in gliomas, genes positively and negatively correlated with TAGLN2 (P < 0.01) were analyzed using the DAVID web tool (http://david.abcc.ncifcrf.gov/home.jsp). Association between TAGLN2 expression and hallmark gene sets from the Molecular Signatures Database (MSigDB) were analyzed using gene set enrichment analysis (GSEA) software (http://software.broadinstitute.org/).

TAGLN2 silencing

Small interfering RNA (siRNA) targeting TAGLN2 were synthesized (GenePharma; Shanghai, China). siRNAs were transfected with Lipofectamine RNAiMAX reagent (Thermo Fisher Scientific; Waltham, MA, USA) according to the manufacturer’s protocol. Stable knockdown of TAGLN2 in cells was generated using lentiviral transduction of sh-TAGLN2 (Genepharm). Knockdown efficiency was evaluated 48 h after transfection by Western blotting. siRNA sequences (n = 2) that generated efficient knockdown are the following: si-TAGLN2#1: 5′-GCAAGAACGUGAUCGGGUU-3′; and si-TAGLN2#2: 5′-UAUGUGAGCUCAUUAAUGC-3′. The second sequence of siRNA was used for the functional assays in vitro.

Western blotting

Harvested cells were lysed with heat denaturation in RIPA cell lysis buffer. Protein lysates (20 μg) were run on SDS-PAGE, and proteins were transferred to polyvinylidene difluoride (PVDF) membrane. Blots were incubated primary antibodies against TAGLN2 (Santa Cruz); N-cadherin, E-cadherin, β-catenin, Snail, Slug, Twist, p21, p27, CDK2, Survivin, c-Myc, Cyclin D1, CD44, GAPDH (Cell Signaling Technology; Danvers, MA, USA); and FoxM1, Cyclin B1, Smad, p-Smad, CHI3L1 (Abcam; Cambridge, UK). Specific proteins were detected with enhanced chemiluminescence (ECL, Millipore, Bredford, USA). Band density was measured (ImageJ software) and normalized to GAPDH.

3D tumor spheroid invasion assay

Glioma spheroids were generated by incubating cells in the spheroid formation matrix for 72 h in a 3D culture qualified 96-well spheroid formation plate. Spheroids with a diameter of >200 mm were embedded into the invasion matrix (Trevigen, Gaithersburg, USA) composed of basement membrane proteins in the 96-well plate. Glioma spheroids were photographed every 24 h under Nikon microscopy. The spheroid at 0 h was used as a reference point for measurement of the area invaded by sprouting cells.

Immunofluorescence

Transfected cells were fixed with 4% paraformaldehyde for 15 min at room temperature, rinsed with phosphate buffered saline (PBS), permeabilized with 0.4% Triton X-100 for 10 min, and blocked with 10% goat serum for 60 min at room temperature. Coverslips were incubated at 4 °C overnight with anti-N-cadherin and anti-E-cadherin antibody, followed by incubation for 1 h with an Alexa-conjugated secondary antibody. Alexa Fluor® 594 labeled phalloidin (Life Technologies, USA) was used to visualize F-actin in the cytoskeleton, and nuclei were stained with DAPI. Representative images were obtained with a Nikon inverted fluorescence microscope.

Cell proliferation assay

Cell proliferation was measured using the Cell Counting Kit-8 (CCK-8) according to the manufacturer’s instructions (Dojindo, Kumamoto, Japan). U87MG or U251 (at 2 × 103 cells/well) were incubated in 96-well plates for 24, 48, and 72 h. CCK-8 solution (10 μL) was added to each well, the plates were incubated for 1 h at 37 °C, and absorbance at 450 nm wavelength (OD450) was measured in a Microplate Reader (Bio-Rad). For the EdU assay, cells were incubated with 200 μL of 5-ethynyl-20-deoxyuridine (Ribo-Bio; Guangzhou, China) for 2 h at 37 °C. Cells were fixed in 4% paraformaldehyde for 20 min, permeabilized with 0.4% Triton X-100 for 10 min, and incubated with Apollo® reagent (100 μL) for 30 min. Nuclei were stained with DAPI, and representative images obtained with a Nikon inverted fluorescence microscope.

Flow cytometry

Cell cycle analysis was performed by determining DNA content with propidium iodide (PI) staining (BD Biosciences; San Jose, CA, USA). Briefly, U87MG and U251 glioma cells were harvested, re-suspended and stained with propidium iodide (PI; BD Biosciences) in the presence of RNase A for 20 min. Apoptosis was evaluated in U87MG and U251 cells with Annexin V-FITC and PI staining (20 min; BD Biosciences). Cells were analyzed using a flow cytometer (BD Biosciences) according to the manufacturer’s instructions.

Implantations in nude mice

To establish intracranial gliomas, U87MG and U251 cells (1 × 106) were infected with Lenti-si-TAGLN2 or Lenti-Control virus and then implanted stereotactically into the brain of 4-week-old nude mice (SLAC laboratory animal Center; Shanghai, China). Tumor tissues were harvested, formalin-fixed and paraffin-embedded, sectioned (4 μm) and incubated with antibodies against TAGLN2 (Santa Cruz, USA), N-cadherin and Ki-67 (Abcam, UK).

Statistical analysis

Survival curves were estimated by the Kaplan-Meier method and compared using the log-rank test. The cut-off level was set at the median value of TAGLN2 expression levels. The expression pattern of TAGLN2 in different glioma subtypes and the associations of TAGLN2 with isocitrate dehydrogenase 1 (IDH1) mutation, methylation of O-methylguanine-DNA methyltransferase (MGMT) promoter, codeletion of 1p/19q, telomerase reverse transcriptase (TERT) loss, and alpha thalassemia/mental retardation syndrome X-linked (ATRX) mutation were performed using the TCGA dataset. A two-tailed χ2 test was used to determine the association between TAGLN2 expression and clinicopathological characteristics. Pearson correlation was used to evaluate the linear relationship between the expression of different genes. The one-way ANOVA test or Student’s t test were used for all other data comparisons using GraphPad Prism 6 software. All data are presented as the mean ± standard error. All tests were two-sided, and P-values <0.05 were considered to be statistically significant.

Results

Increased expression of TAGLN2 is associated with increasing tumor grade in glioma

To begin to define the function of TAGLN2 in glioma development, gene expression levels of TAGLN2 were analyzed in GBMs and low grade gliomas (LGGs) as well as normal brain tissues from the TCGA dataset. TAGLN2 mRNA levels were significantly increased in GBMs compared to LGGs and normal brain tissues in TCGA (P < 0.001; Fig. 1a). The expression of TAGLN2 was also up-regulated in LGGs relative to normal brain (P < 0.001). We validated these findings in 3 additional published datasets, Rembrandt, CGGA, and Gravendeel (Fig. 1a; Additional file 1: Fig. S1A). In these datasets, TAGLN2 was also highly expressed in GBM samples compared to LGGs and normal tissues. However, no significant differences in TAGLN2 expression were observed between LGGs and normal tissues in CGGA and Gravendeel databases.
Fig. 1

Expression of TAGLN2 is associated with tumor grade in gliomas. a Quantification of TAGLN2 mRNA expression levels in gliomas in TCGA, Rembrandt, and CGGA datasets. b Quantification of GBM subtype-specific TAGLN2 expression in TCGA and GSE4271 datasets. Log2-transformed expression of TAGLN2 mRNA levels are listed on the Y-axis. Error bars represents the SEM. c ROC curve showing sensitivity of TAGLN2 as a marker to distinguish mesenchymal subtype GBM from non-mesenchymal subtype GBM patients. d Representative images of IHC staining for TAGLN2 in different grade gliomas and normal brain specimens. Magnification: ×200, upper; ×400, lower. e The prognostic significance of TAGLN2 expression in LGG and GBM patients was analyzed in TCGA (n = 667) database. The cut-off level was set at the median value of the TAGLN2 levels. *P < 0.05; **P < 0.01; ***P < 0.001

Expression profiles have been used to classify gliomas into four distinct molecular subtypes: classical, mesenchymal, neural, and proneural. The mesenchymal subtype has been associated with worse prognosis in patients compared to the proneural subtype [13]. Expression levels of TAGLN2 were therefore examined on the basis of molecular subtype. TAGLN2 was high in the mesenchymal subtype in TCGA, CGGA and GSE4271 databases and low in the proneural subtype (Table 1; Fig. 1b; Additional file 1: Fig. S1B). Meanwhile, GSEA analysis showed that mesenchymal related gene signatures were significantly enriched in high TAGLN2 expression samples (Additional file 2: Fig. S2), and ROC curve further showing sensitivity of TAGLN2 as a marker to distinguish mesenchymal subtype from non-mesenchymal subtype GBM patients (Fig. 1c). Protein levels of TAGLN2 were also examined by immunohistochemistry in an independent cohort of human gliomas (n = 46) and normal brain tissues (n = 5) from Qilu Hospital (Jinan, China). Consistent with the results in mRNA microarrays, TAGLN2 protein was higher in GBMs than LGGs or normal brain (Fig. 1d). Thus, TAGLN2 was positively correlated with increasing tumor grade both in the publicly available databases and in our cohort of primary tumor specimens.
Table 1

Correlation of TAGLN2 expression in human glioma patients with different clinicopathological features. P values were determined by the Chi-square and Fisher’s exact tests

Variable

 

TAGLN2 high expression

TAGLN2 low expression

p value

Age

≥45

234

91

<0.001

<45

78

203

Gender

Male

183

170

0.836

Female

129

124

KPS

≥80

154

151

0.005

<80

46

20

WHO grade

II

49

165

<0.001

III

113

126

IV

148

4

TCGA subtype

Neural

34

77

<0.001

Proneural

65

173

Classical

84

2

Mesenchymal

93

3

IDH1 status

Mutant

103

324

<0.001

Wild-type

225

8

MGMT promotor

Methylated

171

304

<0.001

Unmethylated

132

29

1p/19q

Codeletion

38

132

<0.001

Non-codeletion

290

202

TERT expression

Not expressed

113

203

<0.001

Expressed

221

130

ATRX status

Mutant

49

146

<0.001

Wild-type

276

186

Clinicopathological characteristics of patients in TCGA were also associated with high or low expression of TAGLN2. High expression of TAGLN2 (median value) was statistically associated with patient age (≥ 45 y; P < 0.001) and KPS (< 80; P = 0.005; Table 1). Some molecular genetic features including IDH1/2 mutation, MGMT promotor methylation, codeletion of 1p/19q, TERT loss, and ATRX mutation have been reported to be associated with favorable prognosis in gliomas [14, 15]. We therefore analyzed whether TAGLN2 expression correlated with these characteristics. Patients with wild type IDH1 exhibited higher expression of TAGLN2 than those with mutated IDH1. Low TAGLN2 was also associated with other molecular characteristics, including methylated MGMT, 1p/19q codeletion, loss of TERT and mutated ATRX in tumors (P < 0.001; respectively).

TAGLN2 expression is associated with poorer patient survival

The prognostic value of TAGLN2 expression in overall survival (OS) of glioma patients was examined in Kaplan-Meier survival curves. High TAGLN2 expression (> median value) had a significantly worse prognosis than those with low TAGLN2 expression in LGG (78.2 vs 114.0 months, P < 0.001) and GBM patients (12.5 vs 22.2 months, P < 0.05) in TCGA (n = 667) (Fig. 1e). These results were validated in Rembrandt (n = 329), CGGA (n = 302) and Gravendeel (n = 284) cohorts (Additional file 1: Fig. S1C), confirming that high TAGLN2 was statistically related to shorter OS. Furthermore, TAGLN2 expression was validated as an independent indicator of OS after multivariate Cox regression analysis (HR = 1.713, 95% CI = 1.384 to 2.119, P < 0.0001; Table 2). TAGLN2 might therefore be a novel prognostic biomarker in gliomas.
Table 2

Univariate and multivariate Cox regression of TAGLN2 expression for overall survival in glioma patients

Variable

Univariate Cox Regression

Multivariate Cox Regression

HR (95% CI)

p

HR (95% CI)

p

Age

Increasing years

1.038 (1.023–1.054)

<0.001

0.993 (0.975–1.011)

0.446

Gender

Female vs male

0.847 (0.600–1.195)

0.345

  

WHO grade

High- vs low-

5.840 (4.015–8.494)

<0.001

3.128 (1.969–4.971)

<0.001

TAGLN2 expression

High vs low

2.121 (1.843–2.442)

<0.001

1.713 (1.384–2.119)

<0.001

IDH1 status

Mutation vs wild-type

0.256 (0.178–0.368)

<0.001

0.869 (0.501–1.510)

0.619

Radiotherapy

Yes vs no

0.429 (0.296–0.622)

<0.001

0.439 (0.303–0.638)

<0.001

Pathway analysis of TAGLN2 and co-regulated genes

To further explore potential biological functions of TAGLN2 in gliomas, correlation analysis of TAGLN2 expression in whole-genome profiling was performed. Datasets were analyzed for TAGLN2 positive-related (n = 1366) and negative-related genes (n = 822), which were subsequently subjected to pathway analysis (Additional file 5: Table S1; P < 0.01). Gene ontology (GO) analysis indicated that TAGLN2 positively associated genes were most involved in malignant process, including cell adhesion, extracellular matrix organization, cell proliferation, as well as cell cycle transition; On the contrary, TAGLN2 negatively related genes were mainly enriched in relatively differentiated cellular process or protective functions, such as brain development, neuron differentiation, cell cycle arrest, and negative regulation of cell motility (Fig. 2a). KEGG analysis demonstrated that TAGLN2 was enriched in pathways in cancer, focal adhesion and regulation of the actin cytoskeleton. Finally, GSEA analysis revealed that high levels of TAGLN2 were significantly related to EMT, cancer metastasis, and the G1-S phase transition of cell cycle progression (Fig. 2b). Altogether, these data further implicated the malignant property of TAGLN2 in gliomagenesis.
Fig. 2

Pathway analysis of TAGLN2 and co-regulated genes. a Correlation analysis using TCGA data showing positively (n = 1366) and negatively (n = 822) correlated genes with TAGLN2 mRNA expression in human gliomas. Biological processes and KEGG pathway analysis of the positively and negatively correlated genes are illustrated. Potential functions and pathways are listed on the Y-axis. b GSEA highlighting positive association of increased TAGLN2 expression levels with EMT, cancer metastasis, cell proliferation, and G1-S phase transition of cell cycle progression. FDR = false discovery rate; NES = normalized enrichment score

TAGLN2 silencing reduces invasion and inhibits mesenchymal properties in glioma cells in vitro

Based on the pathway analysis, we first assessed the role of TAGLN2 in cell motility and invasion using a 3D collagen spheroid invasion assay. Two independent siRNA sequences against TAGLN2 were designed. Both demonstrated efficient silencing of TAGLN2 in two malignant glioma cell lines with high invasive potential, U87MG and U251 (Fig. 3a). Silencing TAGLN2 with a single siRNA reduced the area invaded by U87MG, U251, as well as primary GBM#P3 spheroids relative to controls, respectively (Fig. 3b and c).
Fig. 3

TAGLN2 knockdown decreases invasive ability of glioma cells. a Western blot of lysates (20 μg) from U87MG and U251 cells transfected with TAGLN2 and control siRNAs incubated with TAGLN2 antibody. GAPDH was used as a loading control. b Representative images of invaded spheroids in 3D invasion assay for U87MG, U251 and GBM#P3 cells transfected with TAGLN2 and control siRNAs evaluated at 48 h and 96 h are shown. Scale bar = 200 mm. c The area covered by invading cells quantitated after 96 h. NT: no treatment; Control: non-silencing siRNA; si-TAGLN2: siRNAs targeting TAGLN2

It is well known that the epithelial–mesenchymal transition (EMT) process plays an essential role in the invasiveness and metastasis of various cancers [16, 17]. We therefore investigated whether TAGLN2 regulated EMT in glioma cells. Western blot analysis revealed that knockdown of TAGLN2 led to decreases in several mesenchymal factors, including N-cadherin, β-catenin, Snail, Slug, and Twist, and significant increases in the epithelial marker (E-cadherin) compared to controls (Fig. 4a and b). Moreover, fluorescence staining demonstrated that TAGLN2 knockdown decreased the formation of cell invadopodia (Fig. 4c and d), the F-actin-rich leading edge of invading cells, which is a key structure in cancer invasion [18]. Thus, TAGLN2 may contribute to invasiveness in glioma cells by promoting EMT and the formation of invadopodia in glioma cell lines.
Fig. 4

TAGLN2 knockdown inhibits mesenchymal transition and reduces formation of invadopodia in glioma cells. a Western blot for protein levels of EMT components in lysates (20 μg) from U87MG and U251 cells transfected with siRNA against TAGLN2 and controls. GAPDH was used as a loading control. b Immunofluorescence images of N-cadherin (red), E-cadherin (green), and nuclear (blue) staining in U87MG and U251 at 48 h after siRNA transfection. c Immunofluorescence images for F-actin (red) and nuclear (blue) staining in U87MG and U251 at 48 h after siRNA transfection. Scale bar = 30 μm. d Invadopodia formation was quantified as a percentage of the cells with invadopodia on 30 randomly selected cells in each group. Results are representative of three independent experiments. NT: no treatment; Control: nonsilencing siRNA; si-TAGLN2: siRNAs targeting TAGLN2

Meanwhile, the importance of TAGLN2 in regulating mesenchymal characteristics in primary GBM cells was detected. We found that knocking down of TAGLN2 lead to the suppression of neurosphere formation ability and cell growth of GBM#P3 cells, accompanied with the reduction of key mesenchymal markers, including CD44, CHI3L1, N-cadherin and β-catenin (Additional file 3: Fig. S3). Altogether, these results suggest that TAGLN2 plays a role in the maintenance of the mesenchymal signature of GBM.

Knockdown of TAGLN2 induces cell cycle arrest and apoptosis in human glioma cells

The results of our pathway analysis implicated a possible role for TAGLN2 in regulating cell proliferation, the cell cycle, and apoptosis. To directly test the role of TAGLN2 in glioma cell survival and proliferation, cells were transfected with siRNA to knock down TAGLN2, and EdU as well as CCK-8 assays were performed. Down-regulation of TAGLN2 resulted in a statistically significant decrease in OD450 values as well as the percentage of EdU positive cells in both U87MG and U251 48 h after transfection (P < 0.05 and P < 0.01, respectively; Fig. 5a and c). Cell cycle analysis also demonstrated that knockdown of TAGLN2 increased the population of the U87MG and U251 cells in the G0/G1 phase by ~ 15.5% and 10.5%, respectively (Fig. 5d). Futhermore, TAGLN2 silencing promoted apoptotic cell death by ~ three- and two-fold compared with controls in U87MG and U251 cell lines, respectively (P < 0.001 and P < 0.01, respectively; Fig. 5f and g).
Fig. 5

TAGLN2 knockdown inhibits cell proliferation and induces cell cycle arrest. U87MG and U251 cells transfected with TAGLN2 siRNA or controls and characterized in the following assays: (a, b) EdU performed 48 h after transfection (scale bar = 100 μm); (c) growth curve based on OD450 using the CCK-8 assay; (d) cell cycle profiles determined from PI staining in flow cytometry; (e) Western blot to detect expression levels of the known cell cycle regulatory factors indicated. GAPDH was used as a loading control; (f, g) % apoptosis as determined with Annexin V-FITC antibody and PI staining in flow cytometry. Data are shown as the mean ± SEM from three independent experiments. *P < 0.05; **P < 0.01; ***P < 0.001, relative to control. NT: no treatment; Control: non-silencing siRNA; si-TAGLN2: siRNAs targeting TAGLN2

Next, we investigated the downstream targets of TAGLN2 using western blot. TAGLN2 knockdown significantly decreased the level of Fork head box M1 (FoxM1), an oncogenic transcription factor essential for cancer progression in various types of cancers including gliomas (Fig. 5e) [19, 20]. In addition, cyclin-dependent kinase 2 (CDK2), cyclin B1, and cyclin D1 expression were decreased after TAGLN2 silencing. In contrast, cyclin-dependent kinase inhibitors, including p21 and p27 which were identified as tumor suppressors, were increased in the si-TAGLN2 group [21, 22]. Furthermore, a marked reduction in c-Myc and Survivin, downstream targets of p21, were observed after TAGLN2 knockdown. Taken together, these results indicated that loss of TAGLN2 suppressed cell cycle progression and induced apoptosis in glioma cells.

TGFβ2 induces TAGLN2 in glioma cell lines

How TAGLN2 is regulated might provide insight into additional pathways that can ultimately be exploited for therapeutic treatment. Activation of transforming growth factor beta (TGFβ)/Smad signaling, for example, has been found to induce TAGLN expression in human bone marrow-derived stromal stem cells (hMSC) [23]. In addition, TGFβ2 is a TGFβ family member that has been found to be specifically involved in brain tumor development and progression [24, 25]. In fact, in both TCGA and CGGA datasets, TGFβ2 was higher in GBM than in LGG, just as for TAGLN2, and patients with high expression of both TGFβ2 and TAGLN2 exhibited significantly poorer OS (P < 0.001, respectively; Fig. 6a). Furthermore, analysis of the correlation between TGFβ2 and TAGLN2 revealed a statistically linear relationship between the two mRNAs (TCGA all gliomacor = 0.634, P < 0.001; CGGA all gliomacor = 0.633, P < 0.001; Fig. 6b). We therefore examined by Western blot whether TGFβ2 might be a growth factor stimulating TAGLN2 protein levels in cells in vitro. Addition of TGFβ2 (5 ng/mL) to cell culture led to increases in TAGLN2 protein levels by ~ two- and three-fold in U87MG and U251 cell lines, respectively (Fig. 6c and d). In contrast, TAGLN2 was decreased upon exposure of cells to the TGFβ/Smad pathway specific inhibitor SB431542 (5 μM and 10 μM; Fig. 6e). To further clarify whether TGFβ2 regulates TAGLN2 through Smad or Smad-independent pathways, cells were transfected with Smad2-siRNA. In the presence of TGFβ2, TAGLN2 expression was decreased in Smad2 knockdown cells compared with control group (Fig. 6f). Thus, these results indicated that TAGLN2 expression induced by TGFβ2 was Smad-dependent in gliomas.
Fig. 6

TGFβ stimulates TAGLN2 protein expression in gliomas. a Quantification of TGFβ2 mRNA expression levels in glioma patients in TCGA and CGGA datasets, and survival of patients with low/high coexpression of TAGLN2/TGFβ2. b Correlation between TAGLN2 and TGFβ2 in gliomas determined using TCGA (left panel) and CGGA (right panel) datasets. The statistical significance of correlation was evaluated using a linear regression model (TCGA all gliomacor = 0.634, P < 0.001; CGGA all gliomacor = 0.633, P < 0.001). c, d Western blot for TAGLN2 in cells treated with different concentrations of TGFβ2 (0, 1, 5 and 10 ng/mL) for 48 h. e Western blot for TAGLN2, N-cadherin, p-Smad2 and Smad2 in U87MG and U251 cells treated with TGFβ2 with/without SB431542 (5 and 10 μM). f Western blot for TAGLN2, p-Smad2 in U87MG and U251 cells transfected with Smad2 siRNA or controls. Results are representative of three independent experiments. *P < 0.05; **P < 0.01; ***P < 0.001

TAGLN2 silencing inhibits tumorigenesis in vivo

To further examine the function of TAGLN2 protein in human gliomas, growth of cells depleted of the protein was assessed in vivo. Glioma cells were transduced with lentiviral constructs expressing TAGLN2-targeting shRNA or control shRNA. Orthotopic xenografts were established by implanting sh-TAGLN2 or control cells into nude mice. Animals bearing sh-TAGLN2 cells displayed significantly reduced tumor size (Fig. 7a and b), more circumscribed borders (Fig. 7c) and increased survival relative to controls (44.0 vs 28.5 days, P < 0.05; Fig. 7d). Immunohistochemistry confirmed that TAGLN2 protein levels were reduced in xenografts generated with sh-TAGLN2 cells. The EMT classical marker N-cadherin and the proliferation index marker Ki-67 were also decreased in sh-TAGLN2 xenografts (Fig. 7e). These results demonstrated that TAGLN2 knockdown led to reduced growth and invasion of glioma cells in vivo. Furthermore, we also explore the intratumor heterogeneity of TAGLN2 expression via IVY GAP Atlas (http://ivygap.org/), and the in situ hybridization (ISH) results indicated the positive staining of TAGLN2 both in tumor center and infiltrating zone in GBM tissue (Additional file 4: Fig. S4).
Fig. 7

TAGLN2 silencing inhibited tumorigenesis in vivo. a H&E staining of sections from mouse brains with U87MG control or sh-TAGLN2 xenografts at ~ 4 weeks after implantation with 1 × 106 cells, and (b) tumor size (mm3) was measured. c H&E staining of sections at tumor margins in intracranial U251 control or sh-TAGLN2 xenografts. d Survival analysis for animals implanted with U87MG sh-TAGLN2 or control cells (P < 0.05 by log-rank test; n = 5 animals per group) (e) IHC for TAGLN2, N-cadherin and Ki-67 in sections from indicated xenografts. Magnification: ×200

Discussion

Human gliomas have been well characterized molecularly. Yet the significance of many of the changes in gene expression have not been attributed to any underlying biological function. Here, we investigated the function of TAGLN2, a gene that was found to be highly expressed in GBMs compared to LGGs. High TAGLN2 expression was associated with the mesenchymal molecular phenotype in human gliomas and thus poor prognosis in glioma patients. In contrast, low TAGLN2 mRNA levels were linked to other positive prognostic markers, including IDH1 and ATRX mutations, methylated MGMT, 1p/19q codeletion, and loss of TERT. Finally, functional studies using RNA knockdown implicated a role for TAGLN2 in promoting cell invasion and proliferation in human gliomas.

Glioma progression is a dynamic process in which EMT is a key event driving invasion of tumor cells [26, 27]. Several EMT-related factors have been previously associated with increased invasion and poor prognosis in gliomas [19]. Here, we observed that TAGLN2 depletion significantly decreased glioma cell invasiveness and reversed EMT features, including changes in epithelial (E-cadherin) and mesenchymal markers (N-cadherin, Snail, Slug, Twist) in glioma cells. Using immunofluorescence staining, we observed F-actin cytoskeletal changes induced by TAGLN2 depletion in gliomas. TAGLN2 silencing appeared to specifically suppress the F-actin-rich leading edge in glioma cells, thus reducing the formation of invadopodia during cell invasion. According to the study by Na et al., TAGLN2 blocks actin depolymerization and competes with cofilin to protect F-actin during the formation of immunological synapse in T cells, and knockout of TAGLN2 significantly destabilized F-actin ring formation, resulting in decreased cell adhesion and spreading [28, 29]. Therefore, we hypothesize that TAGLN2 may promote invadopodia formation of glioma cells via competing with cofilin and suppressing actin depolymerization. Altogether, these results indicated that TAGLN2 may serve as a crucial regulator of invasion and aggressiveness by inducing mesenchymal-like properties in gliomas.

Abnormal cell proliferation and growth are hallmark characteristics of human gliomas. Many genetic changes lead to uncontrolled growth through dysregulation of proteins directly involved in cell cycle progression and cell apoptosis [30]. GO and GSEA analysis indicated that TAGLN2 might indeed promote growth through functions in cell cycle progression and cell survival. In vitro and in vivo experiments supported this analysis. TAGLN2 knockdown in glioma cells induced cell cycle arrest at G0-G1 and cell apoptosis, and reduced growth in orthotopic xenografts. The fact that knockdown of TAGLN2 leads to reduced cell proliferation in vitro and in vivo renders the gene/pathway as a potential molecular target for therapy. Moreover, to uncover the potential molecular mechanisms by which TAGLN2 promote glioma development, we detect the expression change of FoxM1, an oncogenic transcriptional factor that regulates some key mediators of cell cycle progression, including CDK2, cyclin B1, cyclin D1, p21 and p27 [20]. Meanwhile, recent studies have revealed that the oncogenic potential of FoxM1 is determined by its capacity to transactivate target genes that are implicated in different phases of cancer development [31], including cancer survival, invasiveness, EMT process, and angiogenesis. In addition, a variety of oncogenic genes including Survivin, c-Myc, β-catenin, and Snail were identified to be regulated by FoxM1. In the present study, TAGLN2 knockdown led to significantly reduced levels of FoxM1, as well as downstream oncogenic factors including CDK2, cyclin B1, and cyclin D1, c-Myc and Survivin. Meanwhile, tumor suppressor p21 and p27 were induced after TAGLN2 depletion. These data suggest that TAGLN2 activates FoxM1 signaling during gliomagenesis. However, further investigation is necessary to elucidate the mechanism of TAGLN2 regulation of FoxM1 axis in glioma.

Consistent with our current study, TAGLN2 has been reported to be up-regulated and possess proto-oncogenic functions in a variety of cancers. For example, high expression of TAGLN2 in tumor-derived lung cancer endothelial cells was associated with clinical stage, tumor size, and tumor development in lung cancer tissues [10]. In addition, TAGLN2 overexpression has been reported to be correlated to lymph node metastasis and histological neural invasion of bladder [32], colorectal [8], esophageal [33], and gastric [34] cancer. Similarly, the elevated expression of TAGLN2 was observed in uterine cervical squamous cell carcinoma (SCC), while suppression of TAGLN2 in human uterine SCC cells significantly inhibited tumor growth and invasion [35]. However, in gynecological malignancies, decreased expression of TAGLN2 was found in metastatic cells in comparison to primary tumors [36]. Meanwhile, TAGLN2 was suggested to be negatively correlated with breast cancer metastasis, and metastatic breast cancer cell line exhibited down-regulation of TAGLN2 protein [37]. These contradictory results reveal a complex role of TAGLN2 in tumorigenesis, urging further investigation.

Based on its potentially crucial role in promoting glioma development, we were also interested in identifying upstream regulators of TAGLN2 expression. It is well known that TGFβ is a multifunctional cytokine that modulates biological processes, such as cell stemness, angiogenesis, cell growth, and immune function [38, 39]. In addition, studies have shown that TGFβ2 overexpression promotes motility, invasion and EMT in cells from some cancer types [40], thus indicating a role for the TGFβ2/Smad signaling pathway in tumorigenesis. In our study, we observed a strong correlation between TGFβ2 and TAGLN2 mRNA levels in cases from TCGA and CGGA databases, and in cell culture, TGFβ2 induced TAGLN2 protein in U87MG and U251 cells. The TGFβ type I receptor specific inhibitor SB431542 prevented TAGLN2 induction, and therefore further supported a role for TGFβ2/Smad signaling in the regulation of TAGLN2 in glioma. However, the precise molecular mechanisms of the cross-talk between TAGLN2 and TGFβ2 signaling in gliomas require further investigation.

Conclusions

We demonstrated that increased TAGLN2 expression levels were associated with higher tumor grade in human gliomas, and thus the mesenchymal molecular GBM subtype and unfavorable prognosis. Knockdown experiments highlighted the function of TAGLN2 in promoting glioma cell invasion, the EMT phenotype, and tumor growth. TAGLN2 may therefore serve as a novel biomarker and a potential therapeutic target in the treatment of human GBM.

Abbreviations

CDK2: 

Cyclin-dependent kinase 2

EMT: 

Epithelial-mesenchymal transition

FoxM1: 

Fork head box M1

GBM: 

Glioblastoma multiforme

GO: 

Gene ontology

GSEA: 

Gene set enrichment analysis

IHC: 

Immunohistochemistry

KEGG: 

Kyoto Encyclopedia of Genes and Genomes

OS: 

Overall survival

TAGLN2: 

Transgelin-2

TGFβ: 

Transforming growth factor beta

Declarations

Acknowledgements

We thank Professor Rolf Bjerkvig for offering expert advice concerning this study.

Funding

This work was supported by Natural Science Foundation of China Grant (81,572,487 and 81,402,060), the Special Foundation for Taishan Scholars (No. ts20110814, tshw201502056 and tsqn20161067), Department of Science & Technology of Shandong Province (2015ZDXX0801A01 and 2014kjhm0101), Shandong Provincial Outstanding Medical Academic Professional Program, the Fundamental Research Funds of Shandong University (2016JC019), the University of Bergen and the K.G. Jebsen Brain Tumor Research Centre.

Availability of data and materials

The dataset supporting the conclusions of this article was retrieved by using the Gene Expression Omnibus, [https://www.ncbi.nlm.nih.gov/geo/], TCGA, [http://cancergenome.nih.gov] and CGGA, [http://www.cgcg.org. cn/].

Authors’ contributions

MZH, YYX, RX and SW performed the research and wrote the manuscript. BH and AJC collected clinical samples and corresponding clinical data. MZH and XZ performed cell culture and the assessment of cell functions in vitro. MZH and YYX conducted the in vivo work. XGL and JW revised the manuscript. All authors read and approved the final manuscript.

Ethics approval

All experimental protocols were approved by the Ethics Committee of the Qilu Hospital (Jinan, China) and performed in accordance with the relevant guidelines and regulations. Written informed consent was obtained from all patients. All animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC) of Shandong University (Jinan, China).

Consent for publication

Not applicable.

Competing interests

The authors have no competing interest to disclose.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Neurosurgery, Qilu Hospital of Shandong University and Brain Science Research Institute, Shandong University
(2)
Department of Biomedicine, University of Bergen

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© The Author(s). 2017

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