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Overexpression of HOXC6 promotes cell proliferation and migration via MAPK signaling and predicts a poor prognosis in glioblastoma

Authors Yang P, Kang W, Pan Y, Zhao X, Duan L

Received 25 March 2019

Accepted for publication 10 July 2019

Published 3 September 2019 Volume 2019:11 Pages 8167—8179

DOI https://doi.org/10.2147/CMAR.S209904

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Xueqiong Zhu


PengYu Yang, Wei Kang, YaWen Pan, XianJun Zhao, Lei Duan

Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou University Second Clinical Medical College, Lanzhou University, Lanzhou, People’s Republic of China

Correspondence: Lei Duan
Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou University Second Clinical Medical College, Lanzhou University, 82 Cuiyingmen, Chengguan District, Lanzhou 730030, People’s Republic of China
Email ldeydl@163.com

Background: Homeobox (HOX) genes encode transcription factors that are critical to morphogenesis and cell differentiation. Although the dysregulation of several HOX genes in glioblastoma (GBM) has been reported, little is known about HOXC6 expression in GBM. Therefore, in this study, we investigated the expression levels of the HOXC6 in GBM and explored the regulatory mechanism underlying the role of HOXC6 in GBM progression.
Methods: The ONCOMINE and Oncolnc databases were used to predict the expression level of HOXC6 mRNA and its prognostic value in GBM. The expressions of HOXC6 mRNA in GBM tissues and adjacent brain tissues were detected using qRT-PCR and Western blot. Immunohistochemistry was performed to verify the HOXC6 protein expression in 107 GBM tissues. Kaplan–Meier and Cox analyses were performed to validate the correlation between HOXC6 expression and GBM prognosis. Lentivirus-mediated HOXC6 mRNA overexpression and interference system were established and transfected into U251 and U87 cell lines. CCK-8, colony formation, wound healing and transwell assay were utilized to evaluate the effects of HOXC6 on proliferation and migration of human GBM cells.
Results: High expression of HOXC6 was observed in GBM tissues and GBM cells lines, and it correlated with a decreased overall survival and disease-free survival. Overexpression of HOXC6 promoted the GBM cell proliferation and migration, whereas depletion of HOXC6 reduced GBM cell proliferation and migration. Mechanistic study showed that upregulation of HOXC6 significantly increased the phosphorylation of Jun amino-terminal kinase, ERK and P38, as well as the expression of mitogen-activated protein kinase (MAPK) signaling–related genes, including c-myc, c-jun and p53. Inversely, silencing HOXC6 showed the opposite results.
Conclusion: HOXC6 promoted proliferation and migration of GBM cells via the activation of MAPK pathway.

Keywords: HOXC6, glioblastoma, proliferation, migration, MAPK pathway


Introduction

Glioblastoma (GBM) takes up about 30% of all brain and central nervous system (CNS) tumors and nearly 80% of malignant brain and CNS tumors.1,2 For a better understanding of the etiology and improved personalized therapy for subgroup patients, The Cancer Genome Atlas (TCGA) classified GBMs into four subtypes: proneural, neural, classical and mesenchymal. Each subtype differs greatly in terms of its cellular features, genetic contexts and signaling pathways involved.3 At present, the overall survival (OS) of GBM patients remains rather unsatisfying, with less than 5% of patients surviving for 5 years after the first diagnosis.48 Actually, the pathogenic mechanisms contributing to the development and progression of GBM were still not fully elucidated, which may prevent us to develop effective targeted drugs of GBM. Therefore, it is of much urgency to further elucidate the pathogenic mechanisms responsible for the development and progression of GBM.

The homeobox (HOX) gene family members play important roles in the regulation of embryonic development by regulating downstream target genes by their specific DNA binding ability.9 Accumulating evidences show that the abnormal expression of some HOX family genes exists in a variety of tumors, including lung cancer, colorectal cancer, hepatocellular carcinoma, ovarian cancer, pancreatic cancer and breast cancer, and these HOX family members have importantly accelerative effects on the invasive and proliferative abilities of tumor cells.1015 These previous results indicated that HOX genes may be key regulatory genes for tumors.

Numerous studies have reported that HOXC6, as a member of the HOX gene family, was overexpressed in various cancers, and played a key role in promoting cancer progression, suggesting that HOXC6 was a potential biomarker for diagnostic, prognostic and therapeutic target of cancers.1618 For instance, Chen et al found that HOXC6 gene significantly promoted the proliferation, invasion and metastasis of gastric cancer cells by upregulation of MMP9, which was associated with the poor prognosis of gastric cancer patients.19 Particularly, a previous study by Guo et al showed that HOXC6 gene expressions in U-118 and U-138 of GBM cell lines were significantly higher than that in normal human astrocytes (NHA), and suppressing HOXC6 expression by introducing corresponding antisense fragments reduced the invasion tendency of U-118 and U-138 cell lines.20 However, little is known about the role of HOXC6 in the development and progression of GBM and the relevant regulatory mechanisms.

In the present study, we found that HOXC6 was overexpressed in GBM tissues and cell lines, and high HOXC6 expression predicted a poor prognosis in GBM patients. Using HOXC6 depletion and overexpression GBM cell models, we demonstrated that HOXC6 promoted tumor cell proliferation and migration, mainly through mitogen-activated protein kinase (MAPK) pathway. We proposed that HOXC6 could be a prognostic biomarker and promising molecular target for GBM.

Materials and methods

Tissue samples and clinical data

A total of 107 tumor specimens and 14 adjacent normal brain tissue (NBT) samples were collected from primary GBM patients who underwent neurosurgery at Lanzhou University Second Hospital. None of the patients received chemotherapy or radiotherapy before surgical tumor resection, and all specimens were obtained during the initial surgery. OS was estimated from the date of diagnosis to the date of either death or last follow-up from 2015 to 2017. Specimens of NBTs were obtained from autopsy material, and to keep these specimens histologically normal, the tissues were acquired within 12 hrs after death. The collection and use of the tissue samples and clinical data were strictly conducted in accordance with the Declaration of Helsinki. Furthermore, all patients provided written informed consent and this study was approved by the Ethics Committee of the Lanzhou University Second Hospital.

Reagents

Commercially available antibodies were as follows: HOXC6 (ab41587, Abcam, Cambridge, UK), GAPDH (60004–1-Ig, Proteintech), Jun amino-terminal kinase (JNK) (#9252, Cell Signaling Technology), Phospho-JNK (#4668, Cell Signaling Technology), p38 (#9212, Cell Signaling Technology), Phospho-p38 (#4511, Cell Signaling Technology), Erk1/2 (#4695, Cell Signaling Technology), Phospho- Erk1/2 (#4370, Cell Signaling Technology), c-Jun (#9165, Cell Signaling Technology) and P53 (#2524, Cell Signaling Technology), c-myc (#13987, Cell Signaling Technology).All other chemical reagents were obtained from Sigma-Aldrich, unless otherwise indicated.

Cell lines and cell culture

Human GBM cell lines, U251, U87, LN229, A172, U118 and NHA, were purchased from the China Academia Sinica Cell Repository (Shanghai, China). U251, U87, LN229, A172, U118 and NHA cells were cultured in DMEM (cat#11965–092,Gibco, USA) or RPMI 1640 (cat#12633012, Gibco, USA) supplemented with 10% FBS (cat#10099-141, Gibco, USA), 50 units/mL penicillin/streptomycin and incubated at 37°C in a humidified incubator (Forma™ 310, Thermo, USA) with 5% CO2/95% air.

Plasmid construction, lentivirus packaging and stable cell lines generation

The complete open reading frame of human HOXC6 was amplified by PCR using the methods according to the study of Zhang X. et al.21 The amplicon was inserted into the HindIII-XbaI site of pcDNA3.1 vector. Short hairpin RNA (shRNA) targeting the HOXC6 was designed as follows: sense a 5ʹ-CCGGGACCTCAATCGCTCAGGATTTCTCGAGAAATCCTGAGCGATTGAGGTCTTTTTG-3ʹ, sense b 5ʹ-AATTCAAAAAGACCTCAATCGCTCA GGATTTCTCGAGAAATCCTGAGCGATTGAGGTC-3ʹ.22 The pcDNA3.1-HOXC6 or shRNA-harboring plasmid and two helper plasmids, pVSVG-I and pCMVΔR8.92 (Shanghai Hollybio, China), were transfected into HEK293T cells using Lipofectamine 2000 (cat#11668019, Life Technologies, USA). Two days after transfection, cell culture media were collected and concentrated. The recombinant lentivirus was stored at −80°C.

RNA extraction, cDNA synthesis and real-time quantitative RT-PCR

Fifty-three samples were collected after surgical resection, snap-frozen and stored in liquid nitrogen until RNA extraction. Total RNA from cryogenically homogenized tumor tissue was isolated using 1.0 mL TRIzol Reagent (cat#15596026, Invitrogen, USA) and purified with the RNeasy Mini Kit (cat#74104, Qiagen, Hilden, Germany). RNase-free DNase (cat#EN0521, ThermoFisher Scientific) was used in order to avoid DNA contamination. Reverse transcription was performed using the first-strand cDNA synthesis Kit (cat#12328032, Invitrogen). qRT-PCR was used to detect the expression levels of HOXC6 using SYBR Premix Ex Taq™ kit (cat#DRR041A, Takara, Japan) following the manufacturer’s introductions and the parameters were as follows: hot start at 95°C for 5 mins, followed by 40 cycles of 95°C for 30 s, 60°C for 45 s and 72°C for 30 mins. The primers for HOXC6 and internal standard GAPDH were designed as follows: HOXC6 forward, 5ʹ-ACAGACCTCAATCGCTCAGGA-3ʹ and reverse, 5ʹ- AGGGGTAAATCTGGATACTGGC-3ʹ (86-bp product); and GAPDH forward, 5ʹ-TCCTCTGACTTCAACAGCGACACC-3ʹ and reverse, 5ʹ-TCTCTCTTCCTCTTGTCGTCTTGG-3ʹ (286-bp product). The relative quantification of the value was determined using the 2−ΔΔCt calculation method and each sample was assayed in triplicate.23

Western blotting

Western blot assay was performed as a standard procedure. Total protein was extracted using radioimmunoprecipitation buffer (cat#2114–100, BioVision) with protease/phosphatase inhibitor cocktail (cat#4693116001, Roche). The protein concentrations were detected by using a bicinchoninic acid protein assay kit (cat#23225, Thermo Fisher Scientific, Inc.). Protein samples (20 μg/well) and dual plus molecular weight ladders (#161–0374, Bio-Rad Laboratories, Hercules, CA) were separated using 8–12% gradient polyacrylamide gel and then transferred onto polyvinylidene difluoride (cat#ISEQ00010, millipore) membranes. The membranes were blocked in Tris-buffered saline (cat#A20120A0211, BioTNT) containing 5% bovine serum albumin (cat#70-A3828-100, MultiSciences) at room temperature for 1 hr and subsequently incubated with the indicated primary antibody at 4°C overnight and then with the secondary antibody at room temperature for 1 hr. Bands were visualized using the enhanced chemiluminescence (cat#32106, ECL, Pierce).24 The density of protein bands was calculated using the ImageJ software (National Institutes of Health, Bethesda, MD, USA, https://imagej.nih.gov/ij/). According to the instruction of ImageJ, we finally calculated the relative density value of each protein band (https://lukemiller.org/index.php/2010/11/analyzing-gels-and-western-blots-with-image-j/).

Immunohistochemistry

Immunohistochemistry was performed as described previously.25 Briefly, paraffin-embedded specimens were cut into 4-mm sections and baked at 65°C for 1 hr. The sections were deparaffined with xylenes and rehydrated, submerged into 0.01 M citrate buffer (pH 6.0) antigen retrieval buffer and microwaved for antigenic retrieval. They were treated with 0.3% H2O2 for 15 mins to block the endogenous peroxidase at RT and then were treated with normal goat serum for 30 mins to reduce the nonspecific binding. Consequently, the sections were incubated with rabbit polyclonal anti-HOXC6 antibody (1:200) overnight at 4°C. After being washed, the sections were treated with anti-rabbit/mouse secondary antibody at room temperature for 1 hr. The tissue sections were immersed in 3-amino-9-ethyl carbazole, counterstained with Mayer’s hematoxylin, dehydrated, and finally mounted in Crystal Mount. The immunohistochemically stained tissue sections were scored independently by two pathologists blinded to the clinical parameters. The intensity and extent of the staining were used as criteria of evaluation. The staining intensity was scored as 0 (no staining), 1 (weak staining), 2 (moderate staining) or 3 (strong staining). Extent of staining was scored as 1 (<25%), 2 (25–50%), 3 (50–75%) and 4 (75–100%), according to the percentages of the positive staining areas in relation to the whole carcinoma area or entire section for the normal samples. Staining index was calculated as the multiplication of staining intensity score and the proportion of HOXC6-positive tumor cells. All scores were subdivided into two categories according to a cutoff value in the study cohort: HOXC6 high expression (>7.5) and low expression (<7.5).

Cell proliferation assay

Cells were plated in 5 replicates in a 96-well plate (3000 cells/well) and cultured in DMEM containing 10% FBS. Then, cells were incubated with 10 uL CCK8 reagent (LOT#GB707, Dojindo Molecular Technologies, Inc., Kumamoto, Japan) for 4 hrs at 37°C. Viable cells were counted every other day by reading the absorbance at 450 nm with a plate reader (ELx800, BioTek, Winooski, USA). Statistical analysis (one-way ANOVA) was performed using the statistical software GraphPad Prism 5. A value of P≤0.05 was considered to be significant. The test was repeated three times.

Colony formation assay

For the colony formation assay, stably infected cells were seeded in 6-well plates at a density of 500 cells/well at an atmosphere of 5% CO2 for 14 days. The growth medium was changed at 3-day intervals. After 14 days, cells were fixed with 4% paraformaldehyde and stained with 0.5% crystal violet (C6158, Sigma-Aldrich, St. Louis, USA) and dried. Only clearly visible colonies (more than 50 cells) were counted under a light microscope. The test was repeated three times. Only clearly visible colonies (more than 50 cells) were counted under a light microscope. Data were expressed as mean ± standard deviation. Statistical significance was determined using Student’s t-test where p≤0.05 was considered statistically significant.

Wound healing assay

Cells were seeded at in 6-well plates at a density of 4.0×105 cells per well at an atmosphere of 5% CO2. After 1 day, confluent monolayer cells were linearly scratched using a 200-μL pipette chip, one parallel was made per experiment. The scratched region was photographed immediately or 24 hrs after scratching using a microscope equipped with a camera. Five pictures were randomly taken for each experiment. The scratch width from per experiment was calculated, and data were then obtained and expressed as mean ± standard deviation.

Migration assay

A cell migration assay was performed using the Boyden chamber with a gelatin-coated polycarbonate filter with 8-μm pore size (Neuro Probe, Gaithersburg, MD, USA). Cells in serum-free culture medium were added to the upper chamber at a density of 2.0×106 cells (200 μL/well), and the lower chamber was filled with 10% FBS culture medium. After 24 hrs, the nonpenetrated cells were removed using a cotton swab. Cells that had invaded to the back of the membrane of the transwell chamber were stained with 0.1% crystal violet after fixed by 4% formaldehyde. The invasive capacity of cells was defined according to the total number of cells in randomly selected fields by light microscopy. Statistical significance was determined using Student’s t-test where p≤0.05 was considered statistically significant.

ONCOMINE and OncoLnc analysis

ONCOMINE (http://www.oncomine.org) is a collection of cancer microarray databases with an integrated data-mining platform.26 Bredel Brain 2, Lee Brain, Murat Brain, Sun Brain and TCGA Brain datasets were selected because they were established on mRNA levels and contain larger samples (n>50). P-value=1E-4, fold change=1.5, gene rank=top 10% were selected as threshold. OncoLnc (www.oncolnc.org/) is a newly available resource for COX coefficients and linking TCGA survival data to mRNA, miRNA or lncRNA expression. The survival analysis was performed using a cutoff value of median of HOXC6 expression to evaluate the correlation between the expression of HOXC6 and the prognosis of patients with GBM.

Statistical analysis

The SPSS software version 20.0 and GraphPad Prism 5 software were used to perform statistical analyses. The Cox proportional hazards model and Kaplan–Meier analysis were employed for survival analysis, and the significance of variances between two groups was determined by log-rank test. Each experiment was performed three times in triplicate. p<0.05 was considered statistically significant.

Results

HOXC6 is highly expressed in GBM

To analyze the transcript levels of HOXC6 in GBM, we adopted an online microarray database ONCOMINE (www.oncomine.org) and found significant overexpression of HOXC6 in the majority of GBM tissues compared with adjacent non-neoplastic controls (Figure 1A). Then, we further assessed the prognostic value of HOXC6 mRNA level in 152 cases of GBM using the OncoLnc database (www.oncolnc.org). The data showed that overexpression of HOXC6 was associated with poorer OS in cancerous tissues compared to paracancerous tissues (Figure 1B). To further explore the relationship between HOXC6 expression levels and GBM, we detected the mRNA expression levels of 14 NBT, 18 samples of low-grade GBM tissue samples (LGG, WHO grade I-II) and 21 samples of high-grade GBM tissue samples (HGG, WHO grade I-II) using qPCR.27 Data confirmed that HOXC6 mRNA levels were more elevated in high-grade GBM tissues than in low-grade GBM tissues, and HOXC6 mRNA levels were found higher in low-grade GBM than in NBTs (Figure 1C, p<0.05). Next, we detected the HOXC6 protein levels in 6 paired primary GBM tissues and the corresponding adjacent normal tissues using Western blotting. Results showed that HOXC6 protein levels (6/6,100%) were increased in GBM tissues compared with NBTs (Figure 1D). To further explore the potential role of HOXC6 in GBM tumorigenesis, we detected the mRNA expression and protein expression of HOXC6 in 1 normal brain and 5 different GBM cell lines using Western blotting. Compared with the normal brain cell lines NHA, HOXC6 was overexpressed in all the detected GBM cell lines (Figure 1E and F). Taken together, these data indicated that HOXC6 expression was increased in GBM tissues and cells.

Figure 1 HOXC6 is overexpressed in GBM. (A) HOXC6 mRNA expression of GBM tissues is higher than normal tissues due to ONCOMINE. Cell color was determined by the best gene rank percentile for the analysis within the cells. The threshold is as following: P-value=1E-4, fold change=1.5, gene rank=top 10%. (B) HOXC6 expression was associated with OS (n=152, p=0.0139) according to Kaplan–Meier analysis from OncoLnc database. (C) The mRNA levels of HOXC6 from 14 normal brain tissue samples, 18 samples of low-grade glioblastoma tissue samples and 21 samples of high-grade glioblastoma tissue samples were tested by quantitative PCR using unpaired t-test. (D) Protein levels of HOXC6 in 6 paired glioblastoma tissues and its adjacent normal tissues by Western blotting. (E) HOXC6 mRNA expression levels in 5 GBM cell lines (A172, U251, U87, U118, LN229) and in 1 human astrocyte (NHA) were examined by quantitative PCR using t-test. (F) HOXC6 protein expression in 5 GBM cell lines (A172, U251, U87, U118, LN229) and in 1 human astrocyte (NHA) was examined by Western blotting. *p<0.05, **p<0.01, ***p<0.001.

Upregulation of HOXC6 is associated with poor prognosis in GBM

To further investigate the HOCX6 expression in fresh GBM tissues, we employed H&E staining and IHC staining with 14 NBT samples and 107 GBM samples from Lanzhou University Second Hospital. As shown in Figure 2A, NBT and glioma tissue were observed and differentiated by H&E staining assay. Then, we identified that HOCX6 expression was specifically detected in the cytoplasm of GBM cells from the cancer tissues in the majority of GBM samples (90/107 cases, 84.1%), while others presented negative expression (17/107 cases, 15.9%). No signals were found in all the corresponding adjacent normal tissues or normal tissue (Figure 2B). According to the IHC results, 54 cases were defined as low HOCX6 expression, while the other 53 cases were identified as high expression. According to Kaplan–Meier survival analysis, patients with higher HOXC6 expression predicted a decreased OS (p=0.0243) and disease-free survival (p=0.0013, Figure 2C). These data indicated that HOXC6 could be a prognostic marker for GBM patients.

Figure 2 Upregulation of HOXC6 is associated with poor prognosis of patients with CBM. (A) H&E staining of HOXC6 protein expression in 14 normal brain tissue samples and 107 GBM tissues with anti-HOXC6 antibody. Two representative cases were shown. The scale bar of each figure is 50 μm. (B) Immunohistochemical staining of HOXC6 protein in 107 paired CBMs and their corresponding noncancerous tissues with anti-HOXC6 antibody. The scale bar of each figure is 50 μm. (C) HOXC6 overexpression was associated with OS (n=107, p=0.0243) and DFS (n=107, p=0.0013) according to Kaplan–Meier analysis.

HOXC6 promotes proliferation and clonogenicity of GBM cells

To address the potential role of HOXC6 in GBM progression, HOXC6 knockdown and overexpression of GBM cell models were constructed in U251 and U87 cells with lentivirus infection method. High efficiency of knockdown and overexpressing cell models was demonstrated to be successfully established (Figure 3A and B). CCK-8 assay was then performed to assess cell viability at the indicated times. Data showed that the inhibition of HOXC6 markedly declined the GBM cells’ viability (Figure 3C). On the contrary, cellular proliferation ability greatly increased after HOXC6 overexpression (Figure 3D). Colony formation assay showed that, compared with the shNC cells, both the size and number of shHOXC6 cell group were dramatically decreased (Figure 3E). On the other hand, the size and number were significantly increased in HOXC6-overexpressing cells (Figure 3F). Taken together, these results indicated that HOXC6 played an important role in GBM proliferation and clonogenicity.

Figure 3 HOXC6 regulates the proliferation and clonogenicity of GBM cells. (A) The effect of HOXC6 knockdown with shRNA and shNC was verified by Western blotting 48 hrs after transfection. (B) The effect of HOXC6 overexpression was verified by Western blotting. (C) Viability of HOXC6 knockdown cells was assessed with a CCK-8 assay at indicated times. (D) Viability of HOXC6 overexpression cells was assessed with a CCK-8 assay at indicated times. (E) Colony formation assays of U251 and U87 cells infected with shNC or HOXC6-targeted shRNAs and the relative statistical analysis are shown by column diagram. (F) Colony formation assays of HOXC6 overexpression cell lines. All experiments were carried out in triplicate. Data are presented as mean ± standard deviation. Statistically significant difference: *p<0.05, **p<0.01, ***p<0.001.

HOXC6 promotes GBM cells migration

Wound healing and transwell assay were performed to detect the effect of HOXC6 on GBM cell migration. As shown in Figure 4A, after 24 hrs, the width of the wound in shHOXC6 group was markedly wider than that in shControl group. On the contrary, the width of the wound greatly decreased after HOXC6 overexpression (Figure 4B). Next, we examined the role of HOXC6 in GBM cell migration using transwell chambers. The number of migrating HOXC6 knockdown GBM cells was significantly reduced compared to shControl group (Figure 4C). Conversely, we found that the number of HOXC6-overexpressing cells was significantly increased compared to the empty vector group (Figure 4D). These results indicated that HOXC6 could facilitate to GBM cells migration.

Figure 4 HOXC6 promotes GBM cells migration. (A) Wound healing assay of U251 and U87 cells infected with shNC or HOXC6-targeted shRNAs and the relative statistical analysis showed by column diagram. (B) Wound healing assay of U251 and U87 cells in HOXC-overexpressing and empty vector group, the relative statistical analysis is shown by column diagram. (C) Transwell assay of U251 and U87 cells infected with shNC or HOXC6-targeted shRNAs and the relative statistical analysis showed by column diagram. (D) Transwell assay of U251 and U87 cells in HOXC-overexpressing and empty vector group, relative statistical analysis shown by column diagram. All experiments were carried out in triplicate. Data are presented as mean ± standard deviation. Statistically significant difference: ***p<0.01.

HOXC6 is associated with transcriptional activity of the MAPK pathway

Recently, Zhang F. et al have revealed that HOXC6 gene silencing may inhibit EMT event and cell viability in cervical carcinoma through the inhibition of TGF-β/smad signaling pathway.28 Moreover, substantial differences in gene expression between TGF-beta1 sensitive and insensitive cell lines were observed involving genes in MAPK pathways.29 Besides, Guo C. et al have reported that HOXC10 upregulation significantly increased mRNA and protein expression of MAPK signaling-related genes.30 Because HOXC6 and HOXC10 belong to the same gene family and share the same conserved region, we speculated that expression levels of HOXC6 may be involved in the MAPK pathway. Western blotting results showed that levels of phosphorylation of P38, JNK and ERK were downregulated in the protein lysate of shHOXC6 cells group, while the total amount of JNK, P38 and ERK remained unchanged (Figure 5A). More importantly, as important downstream molecules of MAPK pathway, expression of MYC proto-oncogene (c-myc), Jun proto-oncogene, AP-1 transcription factor subunit (c-Jun) and P53 were downregulated. Similarly, results in HOXC6-overexpressing cell lines showed that total amount of JNK, P38 and ERK remained unchanged, protein levels of phosphorylation of P38, JNK, and ERK were upregulated, expression of downstream molecules of MAPK pathway, c-myc, c-Jun and P53 were upregulated (Figure 5B). These results indicated that HOXC6 may contribute to proliferation and migration of GBM cells by regulating the MAPK pathway.

Figure 5 HOXC6 promotes cell proliferation and migration via activation of MAPK pathway. (A) Expressions of JNK (total), P38 (total), ERK (total), p-JNK, p-P38 and p-ERK were examined by Western blot assays in HOXC6 knockdown GBM cell models (left panel) and HOXC6 overexpression cell models (right panel). (B) Expressions of c-Jun, P53 and c-myc were examined by Western blot assays in HOXC6 knockdown GBM cell models (left panel) and HOXC6 overexpression cell models (right panel).

Discussion

GBM, the most frequent type of primary brain tumor, is one of the most aggressive and deadly human cancers.3133 Regardless of the huge advance in sGBM therapy over the past several decades, GBM patients’ median survival rate has not significantly improved.3436 A large number of evidence suggest that abnormal expression of certain genes is associated with tumor development and progression.3742 Therefore, growing attention has been paid to explore the roles of aberrant expression of certain genes in tumor progression, such as proliferation, metastasis, stemness and drug resistance, which may help to develop molecular target therapy.43,44 However, up to date, only a few effective target therapies are available for GBM patients. Therefore, there is still a great need to identify new molecules related to GBM progression. In our study, we demonstrated that higher expression of HOXC6 significantly correlated with poorer prognosis in patients with gliomas. In addition, HOXC6 could contribute to the GBM cell proliferation and migration mainly through activating MAPK signaling pathway.

HOXC6 gene is one of the homeoprotein transcription factors involved in regulating embryonic development and several cellular processes such as differentiation and morphogenesis.28 The function and underlying molecular mechanisms of HOXC6 in cancer progression are multifaceted and remain elusive. In several types of tumors, HOXC6 is upregulated and serves as a tumor activator. For instance, overexpressed HOXC6 is frequently observed in esophageal squamous cell carcinoma compared to paracancerous tissues and relates to poorer OS.9 Overexpressed HOXC6 is closely linked to poor survival of patients with gastric cancer and contributes to gastric metastasis.17 Besides, it was also reported that HOXC6 was upregulated in colorectal cancer.22 However, Tait DL et al indicated that HOXC6 was downregulated and might serve as a tumor suppressor in serous ovarian cancer.45 Consistent with most of the previous studies, in our current study, we found that HOXC6 may serve as an oncogene in GBM tumorigenesis by ONCOMINE and OncoLnc database analysis. Meanwhile, our results from RT-PCR and Western blot assays confirmed the upregulation of HOXC6 in GBM clinical tissue samples. In addition, HOXC6 was also obviously upregulated in U87, U251, U172, U118 and LN229 cell lines in comparison with normal NHA cells. Furthermore, we demonstrated that HOXC6 exhibited a stronger immunostaining in the cytoplasm of GBM cells compared with benign tissues and its increased expression correlated with poor survival. These results indicated that HOXC6 was a highly expressed tumor-associated gene and could be exploited as a prognostic marker for GBM patients.

Unlimited proliferation and metastasis, as key hallmarks of cancers, are the two main causes of tumor progression and poor prognosis.4649 Hence, in this study, we focused on investigating the effects of HOXC6 on the biological behaviors of GBM cells lines and found that overexpression of HOXC6 in U251 and U87 cells promoted their proliferation and migration whereas knockdown of HOXC6 showed the opposite results. The generic MAPK signaling pathway is shared by three main distinct cascades, including the ERKs (ERK1/2), JNKs (JNK1/2/3) and p38-MAPK, and has been reported to be associated with cancer cell proliferation, differentiation, migration, senescence and apoptosis.50,51 A study by Guo C et al52 suggested that HOXC10 upregulation significantly increased the mRNA and protein expression of MAPK signaling–-related genes and their phosphorylation. Because HOXC6 and HOXC10 belong to the same gene family and share the same conserved region, we speculated that HOXC6 may be involved in regulating the MAPK pathway. Following this, we tried to explore whether HOXC6 exerted its effect on biological functions of GBM cells lines through the MAPK pathway. Our results showed that overexpression of HOXC6 increased the phosphorylation of JNK/ERK/P38 and their downstream genes (c-myc, P53 and c-Jun), while interfering HOXC6 expression showed the inverse effects. Taken together, HOXC6 may promote the proliferation and migration of GBM cell lines by activating the MAPK signaling pathway.

The present study has some limitations. First, the population of the enrolled patients was relatively small, which might result in a degree of bias. Therefore, more studies with a large sample are needed to validate our findings. Second, many factors, such as some key patient baselines (age, tumor stage, tumor differentiation, adjuvant therapy, etc.) and the other aberrant expression of oncogenes are considered to affect the survival of cancer patients. However, in this study, we did not incorporate these factors and HOXC6 expression status into the Cox proportional hazards regression model for multivariate survival analysis. Therefore, to accurately assess the prognostic value of HOXC6, in future study, we and the other researchers should collect these clinical data for performing more comprehensive prognosis analysis. Third, animal experiments are needed to validate HOXC6’s function in vivo, and further investigations are awaited to explain the exact molecular mechanism behind the association of HOXC6 expression with MAPK pathway.

Conclusion

Our study showed that HOXC6 promoted the proliferation and migration of GBM cell via MAPK pathway in vitro and was closely associated with poor GBM prognosis, suggesting that may be a diagnostic, prognostic and therapeutic biomarker for GBM.

Acknowledgment

This work was supported by grant from Gansu Province Health Industry Research Project (GSWSKY2018-01).

Disclosure

The authors declared no conflicts of interest in this work.

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