Literature DB >> 32533688

LINC01207 Predicts Poor Prognosis and Suppresses Cell Growth and Metastasis via Regulating GSK-3β/β-Catenin Signaling Pathway in Malignant Glioma.

Dapeng Chi1, Wei Zhang2, Yulong Jia1, Damin Cong3, Kui Yu4, Shaoshan Hu1.   

Abstract

BACKGROUND Recent literature has revealed that LINC01207 plays a vital part in tumorigenesis and malignancy progression. However, the potential mechanisms of LINC01207 in malignant glioma are still unknown. MATERIAL AND METHODS Quantitative real-time polymerase chain reaction (qRT-PCR) was applied to analyze LINC01207 mRNA levels in malignant glioma cell lines and tissue samples. The correlation between LINC01207 mRNA levels and clinical characteristics was explored, and the relative survival rate was observed using the Kaplan-Meier method. To examine the function of LINC01207, we performed cell viability, EdU assay, cell cycle assay, Transwell assay, and wound-healing assay to analyze relative cell proliferation, migration/invasion ability. Finally, qRT-PCR and western blot were used to investigate the potential mechanisms. RESULTS LINC01207 mRNA was lowly expressed in malignant glioma cells and cancer tissue samples. Low expression of LINC01207 was associated with Karnofsky performance score (KPS), invasion condition, and tumor grade. Moreover, multivariate analysis confirmed LINC01207 expression and tumor grade were significant independent predictors of poor survival in malignant glioma. LINC01207 markedly inhibited cellar proliferation and viability via inducing G0/G1 phase cell cycle arrested and repressed cell metastasis through restraining epithelial-to-mesenchymal procession in vivo. In addition, we detected a reduction in the protein levels of ß-catenin and p-GSK-3ß, while GSK-3ß expression was upregulated. CONCLUSIONS In summary, LINC01207 served as a tumor-related tumor suppress gene for malignant glioma through inhibiting of GSK-3ß/ß-catenin signaling pathway.

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Year:  2020        PMID: 32533688      PMCID: PMC7309654          DOI: 10.12659/MSM.923189

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

Malignant glioma (glioblastoma, GBM) has been reported as one of the most common invasive malignancies in the human brain with high recurrence rates, high mortality, and low cure rates [1]. GBM has a high rate of recurrence and poor prognosis due to the invasiveness of the tumor. According to 2020 Cancer Statistics, the incidence and mortality of brain and other nervous system tumors was the number one reason for malignant tumor death among men younger than 40 years old and women younger than 20 years old, which seriously threatens the life and health of younger adults [2]. In addition, the morbidity and mortality of GBM cases has also increased year by year [1,2]. In spite of huge advances in diagnostic techniques and surgical and chemotherapeutic approaches, the prognosis of GBM is still dismal [3,4]. Therefore, specific prognosis and reliable biomarkers in GBM are still needed, indicating the need to find novel and available tumor markers for the early prediction, progression, and prognosis of GBM. Previous studies have shown that dysregulation of long non-coding RNA (lncRNA) expression is associated with tumorigenicity and poor prognosis in many cancer types, including GBM [5,6]. For example, lncRNA-MALAT-1 mRNA expression was upregulated in bladder transitional cell carcinoma (BTCC) cell lines and tissues samples, and was reported to participate in BTCC carcinogenesis and metastasis. Also, the upregulation of lncRNA-MALAT-1 was statistically correlated with a high clinicopathologic period and also poor BTCC patient survival [7]. LncRNA-SNHG20 was highly expressed in gastric cancer and could obviously regulate epithelial-mesenchymal transition (EMT) progression in gastric cancer by antagonizing GSK-3β/β-catenin signaling pathway [8]. LncRNA-SNHG3 in GBM was significantly upregulated and its decreased expression halted the progression of cancer cells in G0/G1 phase, and the growth and migration of tumor cells are inhibited by the negative regulation of the expression of β-catenin [9]. LINC01207, which is located at 4q32, contained 3 exons and 2 introns and has an important effect on the regulation of gene transcription and protein translation including in pancreatic cancer, lung adenocarcinoma, and colorectal adenocarcinoma [10-12]. However, the LINC01207 expression and its related mechanism in GBM have not yet been reported. In this study, we identified LINC01207 as a novel GBM specific lncRNA, which was significantly downregulated in GBM. The aim of this study was to characterize the tumor-activity and related molecular mechanisms of LINC01207 in GBM.

Material and Methods

Cell culture and reagents

The human malignant glioma cell lines BT142, LN-229, U87-MG, U251, U138-MG, and Hs 683, and normal astrocyte (NHAs) were obtained in American Type Culture Collection (ATCC, Manassas, USA). These cell lines were maintained in RPMI-1640 (Gibco-BRL, Karlsruhe, Germany) supplemented with 10% fetal bovine serum (FBS, Gibco, USA), 100 IU/mL penicillin, and 100 μg/mL streptomycin (Baishitong, Chongqing, China). All cells were adherently grown in 5% CO2 at 37°C and in saturated humidity.

GBM patients and tissue specimens

A total of 80 GBM tissue specimens (including cancers and the paired non-cancer tissue specimens) and normal brain clinical samples obtained from patients who received surgery in the Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University between 2008 and 2010. We did not consider patients who had any neurosurgery, chemotherapy, or radiation therapy, or long-term use of non-steroidal anti-inflammatory drugs or corticosteroids before surgery. All of these tissue samples were collected and immediately restored in a liquid nitrogen tank, then kept at −80°C until use. All cancer cases were diagnosed histologically by 2 experienced pathologists according to the World Health Organization (WHO) standard, based on the use of both histology and molecular genetic features and previous studies [13,14]. This study was approved by the Institutional Ethics of the Second Affiliated Hospital of Harbin Medical University. The clinical characteristics of all the clinical samples are shown in Tables 1 and 2. All data included in this study are available upon request by contacting the corresponding author.
Table 1

Association between the LncRNA LINC01207 expression and clinicopathological characteristics in glioma patients.

ParametersCharacteristicsLINC01207 expressionP value
HighLow
GenderMale16250.418
Female2019
Age<5012170.396
≥502427
KPS<809110.019
≥802733
HistopathologyConventional13210.863
Chondroid2323
Invasion conditionYes14200.025
No2224
Tumor gradeI–II12190.039
III–IV2425

LncRNA – long non-coding RNA; KPS – Karnofsky performance score.

Table 2

Multivariate analyses for overall survival by Cox regression test.

FactorsHR95% CIP value
HighLow
Gender0.9820.3423.5120.567
Age0.8760.4613.4710.342
KPS0.8770.4123.4610.456
Histopathology0.7860.1811.0890.182
Invasion condition0.7220.2711.2910.319
Tumor grade8.2211.35111.8310.037
LINC01207 expression9.5861.23191.6810.021

KPS – Karnofsky performance score.

RNA extraction and quantitative real-time polymerase chain reaction (qRT-PCR)

Total RNA was extracted from GBM, paracancerous tissues and cell lines using TRIzol Kit (Invitrogen Inc, Carlsbad, CA, USA) according to the manufacturer’s protocol. Then 5 μg of total RNA was taken for reverse transcription to cDNA according to the qRT-PCR kit instructions (TaKaRa, Otsu, Shiga, Japan). The qRT-PCR was carried out as described previously [15], and was used to examine the relative expression of target genes mRNA using SYBR® Green Real-time glioma Master Mix (TaKaRa) on an ABI 7500 fast real-time PCR system (ABI, USA). The 2−ΔΔCt method was performed to calculate the relative mRNA expression of these genes [10,11]. Primers (Table 3) were synthesized by HuaDa Gene Company (Shenzhen, China).
Table 3

List of RT-PCR primers used in this study.

PrimerSequence (5′-3′)Product size (bp)
STAT3-FCCAATGGAATCAGCTACAGC236
STAT3-RGCTGATAGAGAACATTCGACTC
ALDH1-FGAAATGTCATCCTCAGGCAC171
ALDH1-RATCTCCTTCTTCTACCTGGC
OCT-4-FGCCTACCGTGGTATTAGATGTC484
OCT-4-RCCTTATGCAGTTGCTCTCC
KLF4-FTCCCATCTTTCTCCACGTTC262
KLF4-RTCCAGGAGATCGTTGAACTC
SOX2-FAGCAACGGCAGCTACAGCA281
SOX2-RTGGGAGGAAGAGGTAACCACAG
CD44-FACAACTGGTGATGGAGACTCATCC546
CD44-RCAGAGTGGCTTATCATCTTGG
Ecad-FTACACTGCCCAGGAGCCAGA103
Ecad-RTGGCACCAGTGTCCGGATTA
Vimentin-FGACCAGCTAACCAACGACAA150
Vimentin-RGTCAACATCCTGTCTGAAAGAT
N-cad-FCGAATGGATGAAAGACCCATCC174
N-cad- RGGAGCCACTGCCTTCATAGTCAA
LINC01207-RCAGACACAGGCCATTCAGTC269
LINC01207-FCTTCTTCACCAGAAGCATTCC
β-actin-FTCCTGTGGCATCCACGAAACT315
β-actin-RGAAGCATTTGCGGTGGACGAT

F – forward; R – reverse; RT-PCR – real-time polymerase chain reaction.

Cell transfection

LN-229 and Hs 683 cells were pre-seeded into the 6-well plates with 5×105 cells/mL RPMI-1640 for transfection. Until cultured confluence of 70% to 80%, cells were transfected transiently with pcDNA3.1-LINC01207 or pcDNA3.1(+)- vectors using Lipofectamine™ 3000 reagent (Invitrogen) and incubated in serum-free RPMI-1640 medium followed the product manual. After 6 to 8 hours transfection, the culture medium was replaced with fresh 1640 containing 10% FBS containing 400 μg/mL G418 (Invitrogen) for 2 weeks. The stable-expressed LN-229 and Hs 683 cells were collected for functional assays.

Cell proliferation assay

The cell viability was detected by Cell Counting Kit-8 (CCK-8) assay as previous described [15]. Each well of 96-well plates had added to it 3000 of the aforementioned cells. After adherent cells growth, the cells were incubated with CCK-8 solution (Dojindo Molecular Technologies, Kumamoto, Japan) for 2 hours at 37°C in the dark, and quantified spectrophotometrically at a wavelength of 490 nm using a Microplate Reader (Bio-rad, USA) every 24 hours until 72 hours. The assays were done in triplicate. independently.

EdU assay

The EdU assay was carried out using a commercial EdU Staining Proliferation Kit as described previously (Beyotime, China) [15] In brief, vector and experimental group cells were exposed to EdU for 4 hours in the dark and then fixed with 4% ice methanol for 1 hour. EdU-positive and the total cells were counted under fluorescence microscopy in 5 random non-overlapping fields per coverslip. Experiments were done in triplicate.

Cell cycle assays

After being transfected for 48 hours, vector and experimental group cells were digested, collected, and seeded into 6-well plates, in triplicate. Experimental and vector groups were harvested and immobilized with 75% ice-cold ethanol at 4˚C for at least 12 hours. Then, the treated cells were washed with phosphate-buffered saline (PBS) twice and subsequent stained with 50 mg/mL propidium iodide (PI, Beyotime) supplied with 50 mg/mL RNase A (DNase-free, Beyotime) at 37°C for 30 minutes, and sorted using a FACSCalibur instrument (BD Biosciences, San Jose, CA, USA). The percentage of cells in each phase was determined with flow cytometry (BD Biosciences). Data were analyzed using ModFit version 4.0 software (BD Biosciences, Franklin Lakes, NJ, USA).

Cell migration assay

The cell migration abilities were evaluated by using Transwell assay. For the Transwell assay, vector and experimental cells were digested, collected, and replanted in upper Transwell chambers through a membrane of 8-μm pore size (Corning, USA) at a density of 5000 cells/well while RPMI-1640 medium containing 20% of FBS was added to the lower chamber. After being cultured for another 48 hours, invaded cells in the lower chambers were immobilized in 70% ice ethanol and stained with 0.1% crystal violet, then cells were counted and calculated under a microscope in 5 random fields. As in wound-healing assay, vector and experimental cells were maintained in serum-free medium and seeded in a 6-well plate to a confluence of about 95%. After discarding the supernatant, a P-20 pipette tip was used to create culture wound and washed with PBS 3 times to remove the separated cells, cultures were then photographed and assessed under an inverted microscope at every 12 hours to analyze the wound healing process by phase-contrast microscopy.

Protein extraction and western blot

Total proteins were extracted from clinical tissue samples and cancer cells by radio-immunoprecipitation assay (RIPA) lysis buffer (Thermo Fisher Scientific, USA) containing protease inhibitor (Biyuntian, Shanghai) for 30 minutes at 4°C as described previously [16,17]. Vector and experimental group cells were collected, washed 3 times with ice-cold PBS and then protein was extracted using RIPA lysate buffer containing protease inhibitor (Biyuntian, Shanghai). Denatured proteins (50 ug) were separated using 12% SDS-PAGE (sodium dodecyl sulphate-polyacrylamide gel electrophoresis) and blotted onto nitrocellulose membranes (polyvinylidene difluoride). The membranes transferred by cell lysates were subsequently incubated with primary antibodies including: β-catenin (1: 1000; ab16051; Abcam, USA), GSK-3β(1: 1000; ab141295; Abcam), p-GSK-3β (1: 1000; sc-373800; Santa Cruz, USA), E-cadherin (1: 1000; ab197751; Abcam), N-cadherin (1: 1000; ab202030; Abcam), vimentin (1: 1000; ab92547; Abcam), OCT4n (1: 1000; ab181557; Abcam), and SOX2 (1: 1000; ab97959; Abcam). After 24 hours, the membranes were washed with PBS twice and then incubated with horseradish peroxidase-conjugated goat anti-rabbit for 2 hours at 37°C, immunoreactive bands were analyzed with by applying Imaging System (Thermo Fisher Scientific, USA). All assays were repeated thrice.

Statistical analysis

All data were analyzed using IBM SPSS Statistics software version 20.0 (Chicago, IL, USA). All data were expressed as means±standard deviation (SD). Differences between 2 samples were assessed by 2-tailed Student’s t-test and the significance of the differences was analyzed by one-way analysis of variance (ANOVA) using Bonferroni post hoc test in the case of multiple comparisons. Differences were considered to be statistically significant when P<0.05.

Results

Decreased expression of LINC01207 in GBM samples and cancer cells

Firstly, we examined the expression level of LINC01207 mRNA in 7 cell lines, and our finding indicated that LINC01207 mRNA was downregulated in GBM cell lines compared to normal NHAs cells (Figure 1A, P<0.001). Furthermore, we detected the LINC01207 mRNA expression in GBM tissues, matched adjacent healthy tissues, and normal brain tissues, and the results indicated that LINC01207 mRNA was statistically downregulated in GBM tissues compared with matched adjacent healthy tissues (Figure 1B, P=0.0011). Meanwhile, the mRNA levels of LINC01207 was also decreased in GBM samples compared with normal brain samples (Figure 1C, P<0.001). Kaplan-Meier analysis indicated that the downregulation of LINC01207 was statistically related to poor overall survival in GBM patients (Figure 1D, P=0.027).
Figure 1

Expression of LINC01207 mRNA in GBM cell lines and samples. (A) qRT-PCR detect LINC01207 mRNA levels in cancer cell lines (BT142, LN-229, U87-MG, U251, U138-MG and Hs 683) and normal NHAs, P<0.001. (B) qRT-PCR detect LINC01207 mRNA in GBM samples and matched adjacent healthy samples P=0.0011. (C) qRT-PCR detect LINC01207 mRNA in GBM and brain samples, P<0.001. (D) Relationship between LINC01207 expression and survival time in GBM, P=0.027. GBM – glioblastoma (malignant glioma); qRT-PCR – quantitative real-time polymerase chain reaction.

LINC01207 expression and clinicopathologic characteristics of GBM patient

We further analyzed the relationship between LINC01207 expression and its clinicopathologic features of GBM. The clinical cases were separated into 2 groups base on the median LINC01207 expression: LINC01207 low expression group and LINC01207 high expression group. The statistical analysis suggested that the lower group was related to Karnofsky performance score (KPS) (P=0.019), invasion condition (P=0.025), and tumor grade (P=0.039). However, no statistics association was found among other factors including gender (P=0.418), age (P=0.396), histopathology (P=0.863) in GBM (Table 1). We further explored the prognostic role of LINC01207 expression in GBM patients; multivariate analyses were applied to analyze these risk factors. As shown in Table 2, multivariate analysis indicated that LINC01207 expression (P=0.021) and tumor grade (P=0.037) were independent predictors for the overall survival of GBM patients, while age, gender, KPS, histopathology, and invasion condition were not.

The re-expression of LINC01207 inhibited the cell proliferation of GBM cells

To explore the potential roles of LINC01207 in GBM cell lines, we chose the lowest LINC01207 mRNA expression of LN-229 and Hs 683 as experimental groups. The transfection efficiencies were detected according to the relative expression levels of LINC01207 by using qRT-PCR (Figure 2A, P<0.01). As shown in Figure 2B, over-expression of LINC01207 caused an obvious suppression of cell proliferation than vector ones (Figure 2B, P<0.01). Meanwhile, the EdU assay also showed that LINC01207 statistically inhibited cell proliferation (Figure 2C, P<0.01). These results implied that LINC01207 suppressed the GBM cell proliferation in vivo.
Figure 2

LINC01207 inhibited proliferation of GBM cells. (A) qRT-PCR analysis of the extopic-expression of LINC01207 in GBM cell lines, ** P<0.01. (B) CCK-8 assay for cellular proliferation, ** P<0.01. (C) EdU assay for cellular viability, ** P<0.01. GBM – glioblastoma (malignant glioma); qRT-PCR – quantitative real-time polymerase chain reaction; CCK-8 – Cell Counting Kit-8.

LINC01207 caused the cell cycle arrested in GBM cells

Flow cytometry was applied to detect whether over-expression of LINC01207 suppressed LN-229 and Hs 683 cells viability and proliferation via regulating the cell cycle. Results showed that LINC01207 over-expressed LN-229 and Hs 683 obviously increase the relative rate of cells in the G0-G1 phase by about 20% to 35% (Figure 3, P<0.001), implying that the inhibition of cell viability by LINC01207 was probably through delaying cell cycle arrested in G0/G1 phase.
Figure 3

LINC01207 induced cell G0/G1 phase arrest. (A) Representative distribution of cell cycles in LN-229 and Hs 683 cell lines. (B) Summary of flow cytometry data, *** P<0.001.

Over-expression of LINC01207 suppressed cell migration

Cell proliferation and cell metastasis were 2 main manifestations for malignancies; thus, we next explored the effects of LINC01207 on cell metastasis. Wound-healing assays also showed that LN-229 and Hs 683 over-expressed LINC01207 cells migrated into the wounded areas slower than the vector cells at 48 hours, respectively (Figure 4A, P<0.01). EMT processing regulated multiple malignant phenotypes concerning tumor migration/invasion, containing the circulating cancer cells, cancer angiogenesis and resistance to radiotherapy and chemotherapy [14]. We next examined the EMT related markers in LN-229 and Hs 683 over-expressed LINC01207 cells. RT-PCR showed that LINC01207 decreased part of stem cell markers in LN-229 and Hs 683 cell lines in mRNA levels (Figure 4B). Meanwhile, qRT-PCR indicated that E-cadherin mRNA was increased in over-expressed LINC01207 cells, as vimentin, and N-cadherin mRNA and protein downregulated, also with the same results in OCT4 and SOX2 expression levels (Figure 4C, P<0.001). Moreover, we examined some downstream expression of stem cell markers in protein levels. Results indicated that LINC01207 declined some stem cell markers in LN-229 and Hs 683 cell lines (Figure 4D), and also parts of stem cell markers such as OCT4 and SOX2 had the same change with mRNA expression (Figure 4D).
Figure 4

LINC01207 inhibited cell motility in LN-229 and Hs 683 cells. (A) Left is representative images of wound-healing assays; right is quantification of wound-healing assay; ** P<0.01. (B) qRT-PCR indicating downstream stem cell markers expression; * indicates significantly downregulated bands. (C) Relative mRNA expression by qRT-PCR; *** P<0.001. (D) Relative protein expression by western blot. qRT-PCR – quantitative real-time polymerase chain reaction.

Re-expression of LINC01207 inhibited GBM cell invasion

Previous studies have reported that lncRNAs could inhibit/promote cancer cell invasion [18,19]. However, the effect of LINC01207 in the invasion of GBM cells remains unknown. Transwell assays were implied to investigate the invasion ability of GBM cells, and results showed that over-expression of LINC01207 in LN-229 and Hs 683 cells resulted in an obvious decrease compare to normal vector groups (Figure 5A, 5B, P<0.001). These data showed that over-expression of LINC01207 suppressed cell metastasis in GBM cells.
Figure 5

LINC01207 suppressed invasion of GBM cells. (A) The invasion of LN-229 and Hs 683 cells. (B) Quantitative analysis of invasion cell numbers; the number of control vector samples was set to 100%, data represented the mean values of 3 independent experiments. *** P<0.001. GBM – glioblastoma (malignant glioma).

LINC01207 regulated GSK-3β/β-catenin signaling pathway in the GBM cells

A number of studies had reported that lncRNAs could influence β-catenin activity [20,21]. To investigate the underlying effects of LINC01207 on GSK-3β/β-catenin pathway, western-blot was applied to analyze the relative protein expression of GSK-3β, p-GSK-3β, and β-catenin in LINC01207 over-expression LN-229 and Hs 683 cell lines. As was shown, the expression level of GSK-3β in LINC01207 over-expression GBM cell lines was obviously increased, while the β-catenin and p-GSK-3β were decreased (Figure 6A 6B, P<0.001). In conclusion, these results suggested that LINC01207 could influence GBM progression by activating of GSK-3β/β-catenin signaling pathway.
Figure 6

LINC01207 antagonist GSK-3β/β-catenin signaling pathway. (A) Western blotting detected the expression of GSK-3β/β-catenin signaling pathway related proteins after LINC01207 over-expression. (B) Quantitative analysis of GSK-3β/β-catenin signaling pathway related proteins. *** P<0.001.

Discussion

It has been reported that mammalian genomes encode millions of lncRNAs, which are recognized as “transcription noise” or “junk” genes. Meanwhile, accumulated research has well-documented that a variety of lncRNAs were abnormally expressed in GBM and their abnormal expression played vital roles in malignancy development and OS [22-24]. However, to find new and specific target genes and also to reveal the responsible mechanisms for the GBM tumorigenesis and progression are critical for the development of effective therapeutic strategies for patients with GBM. Thus, identification and characterization of the functional roles of dysregulated lncRNAs in GBM and their underlying mechanisms might be significant for cancer research, and helpful for finding novel therapeutic targets. Published studies have indicated that LINC01207 expressed differentially in various carcinomas might be partly explained by its various functions. Wang et al. reported that LINC01207 expression levels was specifically increased in lung adenocarcinoma, which could promote lung adenocarcinoma cellar viability in vivo and in vitro [10]. Zeng et al. also found that LINC01207 abnormal expression was statistically connected with colon adenocarcinoma patients overall survival, the related genes including LINC01207 and LINC01555 were engaged in cAMP signaling and mucin-type O-glycan biosynthesis pathways and could function as an effective molecular target in diagnosis and treatment of colorectal adenocarcinoma [25]. However, the expression and basic cancer-related functions of LINC01207 in GBM have not been clearly studied. In order to uncover the function of LINC01207 in GBM, we first detected the relative mRNA levels of LINC01207 in cancer cell lines and samples. The results showed that LINC01207 mRNA was downregulated in cancer cell lines and samples compared with normal NHAs, paired non-cancer tissues and brain tissues. Downregulated expression of LINC01207 was associated with KPS, invasion condition and tumor grade. Meanwhile, Kaplan-Meier analysis indicated that GBM patients with lower LINC01207 expression had relatively poor overall survival. Next the multivariate Cox regression test analysis suggested that low expression of LINC01207 mRNA was an independent prognostic factor for poor prognosis. These results suggested that LINC01207 abnormal expression in GBM was importantly correlated with tumorigenesis. To detect whether LINC01207 acted as a functional gene in vitro, we transfected LINC01207 plasmids into LN-229 and Hs 683 cells. CCK-8 and EdU assay demonstrated that over-expression of LINC01207 decreased cellular proliferative and viability of GBM cells through causing cell cycle arrested. It had been reported that lncRNAs could influence cell migration/invasion in multiple carcinomas [18,19]. Whether or not LINC01207 could influence cell migration/invasion in GBM cells was unknown. In this study, we found LINC01207 downregulation obviously inhibited LN-229 and Hs 683 cells migration/invasion, which was consistent with previous reports. Other studies had proven that induction of EMT in breast cancer cells was not related to enhancing tumor-initiating capacity, but instead, conferred a CD44+/CD24− phenotype and the malignant properties, including cell proliferation, metastasis, chemotherapy and radiation resistance [26]. In our research, over-expression of LINC01207 upregulated E-cadherin mRNA and protein levels, also downregulate vimentin and N-cadherin expression levels, thus LINC01207 was a regulator of EMT progression. Meanwhile, LINC01207 influenced the expression of EMT downstream markers, which was consistent with the previous reports. Aberrant regulation of the Wnts extensively participated in occurrence and progression of many diseases, including neurodegenerative diseases, multiple cancers, and autoimmune diseases [27,28]. EMT grants cells with stem-like characteristics, including metastasis with acquired with mesenchymal as well a loss of epithelial properties, and some studies have revealed that EMT could be induced by multiple pathways, such as the Wnt, MAPK, and PI3K pathways [29-31]. Also, some lncRNAs have been shown to participate in the main components of the Wnt/β-catenin pathway and influence the onset of tumorigenesis. For instance, lncRNA-OTUD6B-AS1 expression was decreased in human clear cell renal cell carcinoma and suppressed cell viability by regulating the Wnt signaling pathway [32]. Lin-TUG1 was abnormally expressed in colorectal cancer and could improve its therapeutic efficacy via targeting TUG1-Wnt/β-catenin signaling pathway [33]. Our study showed that LINC01207 re-expressed in LN-229 and Hs 683 cells restrained the expression of EMT related markers; our experiments also suggested that SOX2 mRNA and proteins were downregulated in this procession since SOX2 was a receptor for hyaluronic acid and influenced differences in cancer features and phenotypes containing stemness [34]. These findings revealed that LINC01207 may function as an effective regulator of GBM stemness. Meanwhile, the expression level of GSK-3β was obviously increased, while the β-catenin and p-GSK-3β were decreased in experimental group cells, which was consistent with previous studies. Cumulatively, our research suggested that LINC01207 significantly suppressed the GSK-3β/β-catenin signaling pathway, a crucial role mechanism in occurrence and development of GBM.

Conclusions

In summary, our study results showed that LINC01207 was downregulated in GBM. We further founded that LINC01207 re-expressed in LN-229 and Hs 683 cells suppressed cellar proliferation, viability and metastasis by modulating GSK-3β/β-catenin signaling pathway. Taken together, our studies present potential new therapy for the diagnosis and treatment of GBM.
  33 in total

1.  Long non-coding RNA TUG1 promotes the proliferation of colorectal cancer cells through regulating Wnt/β-catenin pathway.

Authors:  Chun Hong Xiao; Hai Zhong Yu; Chun Yan Guo; Zhi Mei Wu; Hong Yan Cao; Wei Bing Li; Jian Fen Yuan
Journal:  Oncol Lett       Date:  2018-08-03       Impact factor: 2.967

2.  Stress-triggered YAP1/SOX2 activation transcriptionally reprograms head and neck squamous cell carcinoma for the acquisition of stemness.

Authors:  Hirofumi Omori; Kuniaki Sato; Takafumi Nakano; Takahiro Wakasaki; Satoshi Toh; Kenichi Taguchi; Takashi Nakagawa; Muneyuki Masuda
Journal:  J Cancer Res Clin Oncol       Date:  2019-09-04       Impact factor: 4.553

3.  Long non-coding RNA HOXA-AS2 promotes the migration, invasion and stemness of bladder cancer via regulating miR-125b/Smad2 axis.

Authors:  Fei Wang; Dinglan Wu; Jianxiang Chen; Shiliang Chen; Fengrong He; Housheng Fu; Qinghui Wu; Shuan Liu; Xionggen Li; Weifu Wang
Journal:  Exp Cell Res       Date:  2018-11-06       Impact factor: 3.905

4.  Long noncoding RNAs C2dat1 enhances vascular smooth muscle cell proliferation and migration by targeting MiR-34a-5p.

Authors:  Hairong Wang; Zhili Jin; Tu Pei; Wenhao Song; Yao Gong; Deliang Chen; Lin Zhang; Meichun Zhang; Gangchen Zhang
Journal:  J Cell Biochem       Date:  2018-11-26       Impact factor: 4.429

5.  Expression and Functional Role of Reprogramming-Related Long Noncoding RNA (lincRNA-ROR) in Glioma.

Authors:  Shiyu Feng; Jie Yao; Yang Chen; Peiliang Geng; Haibo Zhang; Xiaodong Ma; Jing Zhao; Xinguang Yu
Journal:  J Mol Neurosci       Date:  2015-02-05       Impact factor: 3.444

Review 6.  Involvement of partial EMT in cancer progression.

Authors:  Masao Saitoh
Journal:  J Biochem       Date:  2018-10-01       Impact factor: 3.387

Review 7.  Glioblastoma: from molecular pathology to targeted treatment.

Authors:  Timothy F Cloughesy; Webster K Cavenee; Paul S Mischel
Journal:  Annu Rev Pathol       Date:  2013-08-05       Impact factor: 23.472

Review 8.  Stemness in Cancer: Stem Cells, Cancer Stem Cells, and Their Microenvironment.

Authors:  Pedro M Aponte; Andrés Caicedo
Journal:  Stem Cells Int       Date:  2017-04-04       Impact factor: 5.443

9.  Knockdown of long non-coding RNA NEAT1 inhibits glioma cell migration and invasion via modulation of SOX2 targeted by miR-132.

Authors:  Ke Zhou; Chi Zhang; Hui Yao; Xuewen Zhang; Youxin Zhou; Yanjun Che; Yulun Huang
Journal:  Mol Cancer       Date:  2018-07-27       Impact factor: 27.401

10.  LncRNA GASL1 inhibits tumor growth in gastric carcinoma by inactivating the Wnt/β-catenin signaling pathway.

Authors:  Cao Peng; Xiaohu Li; Yuanhang Yu; Jianying Chen
Journal:  Exp Ther Med       Date:  2019-03-18       Impact factor: 2.447

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