ELK1‑mediated upregulation of lncRNA LBX2‑AS1 facilitates cell proliferation and invasion via regulating miR‑491‑5p/S100A11 axis in colorectal cancer
- Authors:
- Published online on: May 26, 2021 https://doi.org/10.3892/ijmm.2021.4971
- Article Number: 138
-
Copyright: © Ma et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Colorectal cancer is one of the most frequently diagnosed malignancies, characterized by unfavorable morbidity and mortality rates (1). Despite advancements in treatment strategies, including surgical resection, chemotherapy, radiotherapy, targeted therapy and immunotherapy, the overall survival (OS) time of patients with colorectal cancer has not been markedly prolonged (2–4). Postoperative recurrence and metastasis of colorectal cancer have been considered as the main causes of death (5). Thus, there is an urgent requirement to actively search for reliable molecules involved in the pathogenesis of colorectal cancer.
It has been widely accepted that long-term effects of environmental factors and genetic inheritance could contribute to colorectal cancer progression (6). Extensive research findings have shown that the multi-level regulation of protein coding genes by non-coding RNA (ncRNA) may be associated with colorectal cancer progression (7–9). The Encyclopedia of DNA elements project launched in 2003 has found that nearly 65% of genes are transcribed into ncRNAs (7–9). Long ncRNA (lncRNA; >200 bp), a class of ncRNAs, accounts for >80% of all ncRNAs (7–9). LncRNAs have a variety of biological functions and are widely involved in various cellular activities (10). It has been confirmed that LBX2 antisense RNA1 (LBX2-AS1), which is located on 2p13.1, may drive the progression of several cancers, including esophageal squamous cell carcinoma (11), lung carcinoma (12), gastric carcinoma (13) and liver cancer (14), by binding with various microRNAs (miRNAs/miRs) such as miR-219a-2-3p, miR-4685-5p, miR-491-5p and miR-4766-5p. Nonetheless, the role and regulatory mechanisms of LBX2-AS1 in colorectal cancer remain to be elucidated.
Recent studies have shown that a number of transcription factors are abnormally expressed in tumors and participate in the induction of lncRNA expression (15–17). Furthermore, lncRNA can serve as competing endogenous RNAs to block the effect of miRNA on mRNA, thereby indirectly enhancing the stability of mRNA and increasing the expression of mRNA (18–20). The present study aimed to investigate the role and regulatory mechanism of LBX2-AS1 in colorectal cancer.
Materials and methods
Tissue specimens
Overall, 145 colorectal cancer tissues and corresponding adjacent normal tissues were gathered from the Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University (Huai'an, China) between January 2014 and July 2015. None of the patients had been treated with chemotherapy or radiotherapy prior to operation. All specimens were confirmed by at least two pathologists as colorectal cancer. Normal colorectal mucosa epithelium tissues >5 cm from the edge of the tumor were obtained as adjacent normal controls. Complete clinical information was collected and all patients were followed up for >60 months. Among them, 10 cases of colorectal cancer tissue specimens and corresponding adjacent normal tissues were used for microarray analysis (Shanghai OE Biotech Co., Ltd.). Differentially expressed genes were visualized into a heatmap via the R language package (version 3.4.1) (21). This study strictly followed the Declaration of Helsinki and acquired the approval of the ethics committee of the Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University (approval no. 2014059). All participants provided signed informed consent.
Bioinformatics analysis
LBX2-AS1, ETS transcription factor ELK1 (ELK1) and S100A11 expression levels were evaluated in colorectal cancer tissues and normal tissues in The Cancer Genome Atlas (TCGA)/The Genotype-Tissue Expression (GTEx) database using the GEPIA tool (http://gepia2.cancer-pku.cn/) (22). Using this tool, the differences in LBX2-AS1 or S100A11 expression among different stages (TNM stages I-III and IV) were also assessed in colorectal cancer samples (22). Overall and disease-free survival analyses were performed between high and low LBX2-AS1 expression groups using the GEPIA tool (22). Transcription factors that could bind to the promoter of LBX2-AS1 were predicted through comprehensive analysis of the JASPAR (http://jaspar.genereg.net) (23) and PROMO (http://alggen.lsi.upc.es/cgi-bin/promo_v3/promo/promoinit.cgi?dirDB=TF_8.3) databases (24). Subcellular locations of LBX2-AS1 were predicted via the lncATLAS (http://lncatlas.crg.eu/) (25) and lncLocator (http://www.csbio.sjtu.edu.cn/bioinf/lncLocator/) databases (26). The starBase version 3.0 (http://starbase.sysu.edu.cn/) database (27) was employed to predict target miRNAs of LBX2-AS1. The correlation between hsa-miR-491-5p and LBX2-AS1 expression was determined using Pearson's correlation in the starBase database. Differentially expressed genes (DEGs) with |log2fold-change|>1 and P<0.05 were analyzed between colorectal cancer and normal tissues in TCGA database, which were visualized into heatmap and volcano plots using the R language package (version 3.4.1) (21). From the UALCAN database (http://ualcan.path.uab.edu/), S100A11 expression was detected in colorectal cancer and normal tissues using data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) dataset (28). Furthermore, S100A11 expression was determined in a pan-cancer analysis using the GEPIA tool (22).
Cell culture
Human normal colorectal mucosa FHC cell line, three colon cancer cell lines (including LoVo, SW620 and HCT116) and one colorectal cancer cell line HT29 that were authenticated by STR profiling were acquired from American Type Culture Collection (ATCC). Cells were grown in RPMI-1640 medium (HyClone; Cytiva) with 10% FBS (HyClone; Cytiva), 100 U/ml penicillin and 100 µg/ml streptomycin at 37°C and 5% CO2 in a humidified incubator.
Reverse transcription-quantitative PCR (RT-qPCR)
RNA extraction from cells or tissues was carried out using TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.). RNA concentration and OD value of 2 µl RNA solution were determined using a NanoDrop™ 2000 ultra-micro spectrophotometer (NanoDrop Technologies; Thermo Fisher Scientific, Inc.). Reverse transcription was performed using PrimeScript RT Reagent kit (Takara Biotechnology Co., Ltd.) at 37°C for 45 min and at 85°C for 5 min. GAPDH was regarded as an internal reference. qPCR was performed using SYBR Premix EX Taq II (Takara Bio, Inc.) and the ABI 7900 fluorescence quantitative PCR instrument (Applied Biosystems; Thermo Fisher Scientific, Inc.). The thermocycling conditions were as follows: 94°C for 2 min; 40 cycles of 94°C for 15 sec and 60°C for 45 sec. Primer sequences are listed in Table I. The expression levels of LBX2-AS1, ELK1 and S100A11 were normalized to GAPDH, while miR-491-5p expression was normalized to U6. Relative expression levels were determined using the 2−ΔΔCq method (29).
Transfection
SW620 and HT29 cells (3.0×105) were incubated in a 6-well plate for 24 h. Then, 2 µg small interfering RNAs (siRNAs) targeting ELK1 (5′-AACCACCCGCCACTCTTCCT-3′; Shanghai GenePharma Co., Ltd.) and LBX2-AS1 (5′-CCAUUAAUUCAGCAAACAUUCCUTT-3′; Shanghai GenePharma Co., Ltd.) and corresponding scramble siRNA controls (5′-UUCUCCGAACGUGUCACGUTT-3′; Shanghai GenePharma Co., Ltd.) were separately transfected into each well via PowerFect™ In Vitro siRNA Transfection Reagent (SignaGen Laboratories). A total of 2 µg pcDNA3.1-ELK1, pcDNA3.1-LBX2-AS1 plasmids and corresponding empty vectors (Shanghai GenePharma Co., Ltd.), which were used as controls, were added to each well via Lipofectamine® 2000 (Invitrogen; Thermo Fisher Scientific, Inc.). Furthermore, 50 nM miR-491-5p mimics (5′-AGUGGGGAACCCUUCCAUGAGG-3′; Shanghai GenePharma Co., Ltd.) and mimic negative controls (NCs; 5′-CAGCUGGUUGAAGGGGACCAAA-3′; Shanghai GenePharma Co., Ltd.) were transfected into cells. After transfection for 48 h at room temperature, RT-qPCR was performed to validate transfection efficacy.
RNA immunoprecipitation (RIP) assay
RIP was performed using RNA Binding Protein Immunoprecipitation kit (EMD Millipore). SW620 and HT29 cells were lysed using RIP lysis buffer (Beyotime Institute of Biotechnology). The lysate was centrifuged at 12,000 × g for 30 min at 4°C, and the supernatant was incubated with magnetic beads coated with anti-IgG antibody (cat. no. ab109489; Abcam) overnight at 4°C, followed by digestion with proteinase K buffer. The beads were washed three times with the washing buffer (50 mM Tris-HCl, 300 mM NaCl pH 7.4, 1 mM MgCl2, 0.1% NP-40). The immunoprecipitation RNA was extracted using TRIzol® (Beyotime Institute of Biotechnology) and analyzed via RT-qPCR.
Dual-luciferase reporter assay
Luciferase reporter vector (Shanghai GenePharma Co., Ltd.) with the LBX2-AS1 promoter -2,500 kb ~ +245 bp full sequence and LBX2-AS1 promoter deletion plasmids were transfected into 293T cells (ATCC) using Lipofectamine® 2000 (Invitrogen; Thermo Fisher Scientific, Inc.). The fluorescence signal was monitored after 24 h of transfection. LBX2-AS1 wild-type (LBX2-AS1-wt) and mutant (LBX2-AS1-mut), S100A11 wild-type (S100A11-wt) and mutant (S100A11-mut) sequences were inserted into the pmirGLO vector (Promega Corporation). Mutant sequences were generated using a Hieff Mut™ Site-Directed Mutagenesis kit (cat. no. 11003ES10; Shanghai Yeasen Biotechnology Co., Ltd.). miR-491-5p mimics/controls were co-transfected with LBX2-AS1-wt/LBX2-AS1-mut or S100A11-wt/S100A11-mut using Lipofectamine 2000. After 48 h, the cells were collected and luciferase activity was determined using a Dual-Luciferase Reporter Assay System (Beyotime Institute of Biotechnology). These results were standardized in line with Renilla luciferase activity.
Cell counting kit-8 (CCK-8) assay
SW620 and HT29 cells (2.5×104) were seeded into a 96-well plate for 2–3 h. Then, 10 µl CCK-8 reagent (Beyotime Institute of Biotechnology) was added to the corresponding wells. Cells were taken out 24, 48, 72 and 96 h after inoculation, and the absorbance was tested at 450 nm utilizing an automatic microplate reader (Bio-Rad Laboratories, Inc.).
Clone formation assay
SW620 and HT29 cells were seeded into a 6-well plate (3,000 cells/well). Then, 2.5 ml complete medium (HyClone; Cytiva) was added to each well and cells were cultured for 10–14 days. After discarding the supernatant, the cells were fixed with 4% paraformaldehyde at room temperature for 15 min and stained with 2% crystal violet staining solution at room temperature for 10 min. Finally, the colony number was counted. A colony was defined as consisting of at least 50 cells.
Flow cytometry assay
SW620 and HT29 cell apoptosis assay was carried out using an Annexin V-APC/PI apoptosis detection kit (Nanjing KeyGen Biotech Co., Ltd.) in the dark, according to the manufacturer's instructions. Early and late apoptotic cells were detected using a BD Accuri™ C6 Plus Flow Cytometer (BD Biosciences) at an excitation wavelength of 488 nm. The results were analyzed using FlowJo software (version 10.6.2; FlowJo LLC).
ELISA
Caspase-3 and caspase-9 levels in SW620 and HT29 cells were examined using caspase-3 (cat. no. ab39401; Abcam) and caspase-9 (cat. no. ab65608; Abcam) ELISA kits.
Wound healing assay
Serum-starved SW620 and HT29 cells were seeded onto a 6-well plate (5×105 cells/well) overnight. Cells were incubated at 37°C until they reached 100% confluence. A 200-µl tip was used to scratch the plate. After removing the scratched cells, the 6-well plate was placed in a 5% CO2 incubator at 37°C. The images were observed under a light microscope (magnification, x100; Olympus Corporation) at 0 and 48 h. The migratory rate was measured by quantifying the total distance that cells migrated from the edge of the wound towards the center of the wound.
Transwell assay
Transwell inserts (Costar; Corning, Inc.) were incubated with 50 µl diluted Matrigel (BD Biosciences) at 37°C for 1 h. Cells (1×105) were seeded onto the upper chamber of the Transwell insert with 600 µl medium without FBS. In the lower chamber of the Transwell plate, 600 µl medium with 10% FBS was added. After 48 h at 37°C, the invaded cells were fixed with 4% paraformaldehyde at room temperature for 15 min and stained with 2% crystal violet staining solution at room temperature for 10 min. These results were investigated under an inverted microscope (magnification, ×200). The non-invaded cells were wiped off and the number of cells passing through the Matrigel was counted. Cells in five random fields were counted using ImageJ software (version 1.8.0; National Institutes of Health).
Western blotting
SW620 and HT29 cells or tissues were lysed using RIPA lysis buffer (cat. no. P0013B; Beyotime Institute of Biotechnology) on ice. Protein concentration was detected using a BCA detection kit (cat. no. P0009; Beyotime Institute of Biotechnology). Protein samples (20 µg) were subjected to 10% SDS-PAGE, and subsequently transferred onto PVDF membranes. The membrane was then blocked with 5% skimmed milk powder blocking solution at room temperature for 2 h, followed by incubation overnight at 4°C with primary antibodies against N-cadherin (1:1,000; cat. no. ab76057; Abcam), vimentin (1:1,000; cat. no. 5741; Cell Signaling Technology, Inc.), S100A11 (1:1,000; cat. no. ab180593; Abcam), GAPDH (1:1,000; cat. no. ab181602, Abcam). Subsequently, membranes were incubated with secondary antibodies (1:1,000; cat. no. ab97080; Abcam) at room temperature for 1 h. The blots were visualized by an ECL kit (KGP1121; KeyGen Biotech Co., Ltd.). The optical density was measured with ImageJ software (version 1.8.0; National Institutes of Health).
Subcellular fractionation assay
According to the manufacturer's instructions, the cellular cytoplasmic and nuclei fractions were isolated using the Cytoplasmic & Nuclear RNA Purification kit (cat. no. 37400; Norgen Biotek Corp.). Cytoplasmic and nuclear LBX2-AS1 levels were detected via RT-qPCR.
Statistical analysis
SPSS 23.0 software (IBM Corp.) and GraphPad Prism 8.0 (GraphPad Software, Inc.) were used for statistical analyses. All data are presented as the mean ± standard deviation from at least three repeats. Comparisons between normal tissues and tumor tissues were analyzed using a paired Student's t-test. Other comparisons between two groups were analyzed using an unpaired Student's t-test. One-way ANOVA followed by post hoc Tukey's test was utilized to assess the differences between multiple groups. The differences in clinicopathological parameters between high and low LBX2-AS1 expression samples were analyzed using a Chi-squared test. Univariate and multivariate Cox regression analyses were conducted to analyze the association between LBX2-AS1 and patient prognosis. For survival analysis, 145 patients with colorectal cancer were stratified into high- and low-expression groups based on the median value of LBX2-AS1 expression. Kaplan-Meier survival curve and log-rank test were performed to assess the differences and OS and disease-free survival (DFS) time between high- and low-expression groups. A receiver operating characteristic (ROC) curve was plotted to validate the diagnostic efficacy of LBX2-AS1. P<0.05 was considered to indicate a statistically significant difference.
Results
LBX2-AS1 is a promising diagnostic and prognostic marker for patients with colorectal cancer
According to the microarray profile, LBX2-AS1 expression was higher in colorectal cancer tissues compared with that in normal tissues (Fig. 1A). Using the GEPIA database, it was found that there was a distinct difference in LBX2-AS1 expression between colorectal cancer tissues (n=349) and normal tissues (n=275), as presented in Fig. 1B. Moreover, LBX2-AS1 expression was upregulated among different clinical stages (Fig. 1C). In total, 145 patients with colorectal cancer were included in the present study. The results of RT-qPCR showed that LBX2-AS1 was significantly upregulated in colorectal cancer tissues (Fig. 1D). Furthermore, the differences in its expression between stage I-II and III-IV were determined. As shown in Fig. 1E, expression of LBX2-AS1 was higher at stage III-IV compared with stage I-II, indicating that it was associated with the severity of colorectal cancer. Also, compared with the human normal colorectal mucosa FHC cell line, LBX2-AS1 was significantly elevated in the four colorectal cancer cell lines (Fig. 1F). The ROC results suggested that LBX2-AS1 could possess a useful diagnostic function for the cohort of patients with colorectal cancer included in the present study (Fig. 1G). High LBX2-AS1 expression had a positive association with poorer OS (Fig. 1H), but not DFS (Fig. 1I), using data from TCGA database. The 145 patients with colorectal cancer from the present study were separated into high- and low-expression groups based on the cutoff of LBX2-AS1 expression. Consistently, high expression of LBX2-AS1 suggested shorter OS time (Fig. 1J) and poorer DFS (Fig. 1K). The association between LBX2-AS1 expression and clinicopathological features of patients with colorectal cancer was then calculated. Significant associations between the expression of LBX2-AS1 with lymph node metastasis and TNM stage were found, and are presented in Table II. After multivariate Cox regression analysis, LBX2-AS1 expression was found to be a potential independent prognostic factor for colorectal cancer (Table III). The aforementioned results suggested that LBX2-AS1 was elevated both in colorectal cancer tissues and cells, and could be a potential diagnostic and prognostic biomarker for patients with colorectal cancer.
Table IIAssociation between LBX2-AS1 expression and clinicopathological features of patients with colorectal cancer. |
Table IIIMultivariate Cox regression analysis of clinicopathological features and LBX2-AS1 expression in the prognosis of patients with colorectal cancer. |
Transcription factor ELK1 mediates the upregulation of LBX2-AS1 in colorectal cancer cells
To thoroughly explore the molecular mechanisms regarding the upregulation of LBX2-AS1 in colorectal cancer, 19 transcription factors that could bind to the promoter of LBX2-AS1 were predicted (Fig. 2A). Among them, ELK1 was upregulated in colorectal cancer samples in comparison with normal samples using TCGA database (Fig. 2B). In the patients with colorectal cancer included in the present study, ELK1 expression was significantly higher in colorectal cancer tissues in comparison with normal tissues (Fig. 2C). Moreover, higher ELK1 expression was found in colorectal cancer cells compared with in FHC cells (Fig. 2D). To observe whether ELK1 could mediate the expression of LBX2-AS1, two colorectal cancer cell lines, HT29 and SW620, which were chosen as they exhibited the lowest expression of LBX2-AS1 (Fig. 1F), were transfected with si-ELK1 and pcDNA-ELK1 (Fig. 2E). LBX2-AS1 expression was significantly downregulated in colorectal cancer cells transfected with si-ELK1 compared with those transfected with the si-NC. LBX2-AS1 expression was significantly higher in colorectal cancer cells transfected with pcDNA-ELK1 compared with the empty vector group (Fig. 2F). The RIP assay demonstrated that ELK1 could directly bind to the promoter region of LBX2-AS1 (Fig. 2G). As presented in Fig. 2H, the dual-luciferase reporter assay demonstrated that two binding sites (site 1, -437 ~ -405; site 2, -346 ~ -329) on the promoter region of LBX2-AS1 could be involved in transcriptional activation of ELK1. As expected, relative luciferase activity was significantly increased in colorectal cancer cells transfected with pcDNA-ELK1 compared with the empty vector group (Fig. 2I). After deletion of binding site 2 of LBX2-AS1, relative luciferase activity was also significantly increased in colorectal cancer cells transfected with pcDNA-ELK1 compared with the empty vector group. However, after deletion of binding site 1 of LBX2-AS1, pcDNA-ELK1 did not change the luciferase activity compared with the empty vector group (Fig. 2I). Furthermore, it was found that relative luciferase activity was significantly decreased in colorectal cancer cells transfected with si-ELK1 compared with si-NC group (Fig. 2J). These findings revealed that ELK1 could induce LBX2-AS1 upregulation in colorectal cancer cells.
Suppression of LBX2-AS1 inhibits colorectal cancer cell proliferation and promotes apoptosis
Two siRNAs against LBX2-AS1 were synthesized and transfected into HT29 and SW620 cells. RT-qPCR results verified that LBX2-AS1 was efficiently silenced in cells (Fig. 3A). According to CCK-8 assay results, si-LBX2-AS1 significantly suppressed the viability of colorectal cancer cells (Fig. 3B). Furthermore, the clone formation ability of HT29 or SW620 colorectal cancer cells was significantly suppressed after transfection with si-LBX2-AS1 (Fig. 3C). As shown in Fig. 3D, si-LBX2-AS1 significantly promoted the apoptosis of colorectal cancer cells. Following transfection with si-LBX2-AS1, caspase-3 and caspase-9 levels were significantly higher compared with the si-NC group (Fig. 3E). Therefore, these findings suggested that suppression of LBX2-AS1 may inhibit proliferation and induce apoptosis in colorectal cancer cells.
Silencing LBX2-AS1 suppresses migration, invasion and epithelial-mesenchymal transition (EMT) in colorectal cancer cells
After silencing LBX2-AS1 expression, the migratory ability of HT29 and SW620 cells was significantly suppressed (Fig. 4A and B). Furthermore, the number of invasive cells was significantly lower in colorectal cancer cells transfected with si-LBX2-AS1 (Fig. 4C). Additionally, the expression of EMT-related proteins in colorectal cancer cells was investigated. As expected, western blotting results showed that N-cadherin and vimentin protein expression was reduced in HT29 and SW620 cells transfected with si-LBX2-AS1 (Fig. 4D and E), indicating that the EMT process of colorectal cancer cells was blocked after silencing LBX2-AS1.
LBX2-AS1 serves as a sponge of hsa-miR-491-5p in colorectal cancer cells
LBX2-AS1 was mainly distributed in the nucleus and cytoplasm (Fig. 5A and B). In HT29 and SW620 colorectal cancer cells, LBX2-AS1 expression was detected in the nucleus and cytoplasm (Fig. 5C), which was consistent with the prediction results. Using the starBase database, potential target miRNAs of LBX2-AS1 were predicted. To observe which miRNAs could directly bind to LBX2-AS1, dual-luciferase reporter assays were performed after LBX2-AS1 wild-type was co-transfected with NC, miR-3174 mimics, miR-627-5p mimics, miR-151b mimics, miR-627-5b mimic, miR-491-5p mimics or miR-650 mimics. The results confirmed that only hsa-miR-491-5p mimics and LBX2-AS1 wild-type co-transfection could significantly reduce relative luciferase levels (Fig. 5D and E). LBX2-AS1 was weakly negatively correlated with hsa-miR-491-5p in 450 cases of colorectal cancer specimens from the starBase database (Fig. 5F). The RT-qPCR results demonstrated that hsa-miR-491-5p expression was decreased in colorectal cancer tissues (Fig. 5G) and cells (Fig. 5H). As expected, there was a moderate negative correlation between hsa-miR-491-5p and LBX2-AS1 expression, which was validated among 145 patients with colorectal cancer included in the present study (Fig. 5I). To observe the regulatory mechanisms of hsa-miR-491-5p, hsa-miR-491-5p was successfully overexpressed by miR-491-5p mimics (Fig. 5J). Dual-luciferase reporter results confirmed that, when miR-491-5p mimics and LBX2-AS1-WT were co-transfected into cells, relative luciferase activity was significantly decreased (Fig. 5K). Furthermore, after transfection with si-LBX2-AS1, hsa-miR-491-5p expression was significantly elevated in two colorectal cancer cells (Fig. 5L). Conversely, LBX2-AS1 expression was significantly suppressed in cells transfected with miR-491-5p mimics (Fig. 5M). Thus, LBX2-AS1 may serve as a sponge of hsa-miR-491-5p in colorectal cancer cells.
S100A11 is highly expressed in colorectal cancer and acts as a potential target of miR-491-5p
The heatmap presented in Fig. 6A shows the differences in expression patterns of the top 25 DEGs between colorectal cancer and normal tissues. Also, these genes were visualized into volcano plots (Fig. 6B). Among them, S100A11 was highly expressed both in TCGA database (Fig. 6C) and TCGA/GTEx database (Fig. 6D). Furthermore, there was a difference in S100A11 expression among different clinical stages (Fig. 6E). From the UALCAN database, high S100A11 expression was found in colorectal cancer using data from the CPTAC dataset (Fig. 6F). In addition, hsa-miR-491-5p was weakly correlated with S100A11 in a dataset from the starBase database (Fig. 6G). S100A11 was highly expressed in a number of cancer types, except colorectal cancer (Fig. 6H). Results of RT-qPCR confirmed that S100A11 expression was higher in colorectal cancer tissues (Fig. 6I) and cells (Fig. 6J). As shown in the bioinformatics analysis, miR-491-5p could bind to the 3′UTR region of S100A11 (Fig. 6K). In both HT29 and SW620 cells, co-transfection of S100A11-WT and miR-491-5p mimics significantly reduced the relative luciferase activity (Fig. 6L). After miR-491-5p overexpression with mimics, S100A11 expression was significantly reduced in colorectal cancer cells (Fig. 6M). Therefore, S100A11 could act as a target of miR-491-5p in colorectal cancer.
LBX2-AS1 promotes colorectal cancer cell proliferation and invasion by mediating the miR-491-5p/S100A11 axis
RT-qPCR results confirmed that LBX2-AS1 was successfully overexpressed in HT29 and SW620 cells transfected with pcDNA-LBX2-AS1 (Fig. 7A). The mRNA expression of S100A11 was significantly downregulated in HT29 and SW620 cells transfected with si-LBX2-AS1, as determined via RT-qPCR (Fig. 7B). On the other hand, transfection with pcDNA-LBX2-AS1 significantly promoted S100A11 mRNA expression in colorectal cancer cells (Fig. 7B). At the protein level, in two colorectal cancer cells transfected with pcDNA-LBX2-AS1, S100A11 expression was significantly elevated (Fig. 7C and D). However, transfection with miR-491-5p mimics significantly decreased the expression of S100A11 protein in cells. Of note, LBX2-AS1 overexpression could reverse the inhibitory effects of transfection with miR-491-5p mimics on S100A11 protein expression (Fig. 7C and D), indicating that LBX2-AS1 may indirectly enhance the mRNA expression of S100A11 via blocking miR-491-5p. As expected, the repressive functions of miR-491-5p mimics on cell viability were found in HT29 and SW620 cells, as determined via a CCK-8 assay, which were ameliorated by transfection with pcDNA-LBX2-AS1 (Fig. 7E). In the colony formation assay, the colony number of HT29 and SW620 cells was significantly reduced following transfection with miR-491-5p mimics (Fig. 7F). Nonetheless, after co-transfection of miR-491-5p mimics and pcDNA-LBX2-AS1, the colony formation ability of colorectal cancer cells was significantly enhanced compared with the miR-491-5p mimics group (Fig. 7F). Moreover, LBX2-AS1 overexpression was capable of partially reversing the suppressive effect of miR-491-5p mimics on colorectal cancer cell invasion (Fig. 7G). The aforementioned findings suggested that LBX2-AS1 could enhance colorectal cancer cell proliferation and invasion via regulation of the miR-491-5p/S100A11 axis.
Discussion
The present study identified a novel finding that lncRNA LBX2-AS1 could be a potential underlying diagnostic and prognostic marker for colorectal cancer. Mechanically, LBX2-AS1, induced by transcription factor ELK1, facilitates cell proliferation, migration and invasion via the mediation of the miR-491-5p/S100A11 axis in colorectal cancer cells.
High LBX2-AS1 expression was found in both colorectal cancer tissues and cells. Previously, LBX2-AS1 expression has been verified to be elevated in several types of cancer (11,13). The ROC results of the present study demonstrated that LBX2-AS1 was a sensitive diagnostic marker in patients with colorectal cancer. In colorectal cancer, high LBX2-AS1 expression predicted poor clinical outcomes. Furthermore, LBX2-AS1 expression was associated with the clinical stages of colorectal cancer. Patients diagnosed as stage III-IV usually had higher LBX2-AS1 expression than those with stage I-II. Previous studies have confirmed that upregulated LBX2-AS1 expression is associated with unfavorable prognosis of lung carcinoma (12), stomach carcinoma (13) and liver cancer (14). In the present study, multivariate Cox regression analysis showed that LBX2-AS1 expression could be an independent prognostic factor for colorectal cancer.
In the current study, transcription factor ELK1 was notably upregulated in colorectal cancer tissues, as well as cells, which was consistent with previous studies (30-32). It has been confirmed that ELK1 overexpression promotes migration and invasion of colorectal cancer cells (31). Also, its upregulation facilitates proliferation and angiogenesis (30), and suppresses apoptosis in colorectal cancer cells (32). These findings demonstrate that ELK1 is likely to be involved in colorectal cancer progression. The results of the RIP and dual-luciferase reporter assays in the present study verified that ELK1 could directly bind to the two conservative sites (located at -437/-405 and -346/-329) in the promoter region of LBX2-AS1. Therefore, LBX2-AS1 could act as a transcriptional target of ELK1. ELK1 has been confirmed to directly interact with the endogenous miR-31 promoter in a MAPK-dependent manner (33). The current study found that suppression of LBX2-AS1 could promote apoptosis of colorectal cancer cells. Moreover, silencing LBX2-AS1 could suppress proliferation, migration, invasion and EMT process in colorectal cancer cells. EMT is the key mechanism of tumor invasion and metastasis for colorectal cancer. Zinc finger E-box-binding homeobox 1-induced LBX2-AS1 upregulation promotes migration, invasion and EMT in esophageal cancer cells (11). Nuclear factor 1 C-type-mediated LBX2-AS1 enhances cellular proliferation, migration and invasion in gastric cancer (34). The findings of the present study demonstrated that LBX2-AS1 was distributed in the nucleus and cytoplasm of colorectal cancer cells. Low miR-491-5p expression was detected in colorectal cancer tissues and cells, which was consistent with a previous study (35). Furthermore, downregulation of miR-491-5p is associated with unfavorable prognosis in patients with colorectal cancer (36). Furthermore, low miR-491-5p expression can promote colorectal cancer cell proliferation (36). Circulating miR-491-5p can be used to distinguish patients with colorectal cancer from patients with adenoma (36). Dual-luciferase reporter results of the present study confirmed that LBX2-AS1 may play a role as a sponge of hsa-miR-491-5p in colorectal cancer cells.
Upregulation of S100A11 was found in colorectal cancer tissues and cells via RT-qPCR in the current study, as reported in previous studies (37-39). S100A11 is closely related to the EMT and invasive phenotypes of colorectal cancer cells (40,41). As shown in the dual-luciferase reporter assays performed in the present study, miR-491-5p may bind to the 3′UTR region of S100A11. Also, overexpression of miR-491-5p significantly reduced S100A11 expression in two colorectal cancer cells. Thus, S100A11 may serve as a target of miR-491-5p in colorectal cancer. Additionally, overexpression of LBX2-AS induced the upregulation of S100A11 at the mRNA and protein levels in colorectal cancer cells. More importantly, LBX2-AS1 may indirectly enhance the mRNA expression of S100A11 through blocking miR-491-5p. Furthermore, the suppressive effects of miR-491-5p mimics were notably reversed by LBX2-AS1 overexpression on colorectal cancer cell proliferation and invasion. Hence, these findings revealed that LBX2-AS1 could enhance colorectal cancer cell proliferation and invasion by means of mediating the miR-491-5p/S100A11 axis.
To conclude, in the present study, lncRNA LBX2-AS1 was identified to be upregulated in colorectal cancer, which was transcriptionally regulated by transcription factor ELK1. LBX2-AS1 could become a hopeful diagnostic and prognostic marker for colorectal cancer. It was further found that LBX2-AS1 overexpression facilitated cell proliferation, EMT, migration and invasion in colorectal cancer cells. LBX2-AS1 could block S100A11 degradation via competitively binding to miR-491-5p, thereby enhancing colorectal cancer development. Thus, these findings revealed the possible value of LBX2-AS1 in the diagnosis prognosis, and treatment of colorectal cancer.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
XY conceived and designed the study. GM, WD and JZ conducted most of the experiments and data analysis, and wrote the manuscript. QL, BG and YS participated in data collection and helped to draft the manuscript. All authors read and approved the final manuscript. XY and GM confirm the authenticity of all the raw data.
Ethics approval and consent to participate
The present study was approved by the Ethics Committee of The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University (approval no. 2014059; Huai'an, China). All subjects provided signed informed consent.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Acknowledgments
Not applicable.
Funding
No funding was received.
Abbreviations:
ncRNA |
non-coding RNA |
lncRNA |
long non-coding RNA |
miRNAs |
microRNAs |
RT-qPCR |
reverse transcription-quantitative PCR |
RIP |
RNA immunoprecipitation |
CCK-8 |
Cell Counting Kit-8 |
EMT |
epithelial-mesenchymal transition |
OS |
overall survival |
DFS |
disease-free survival |
References
Siegel RL, Miller KD and Jemal A: Cancer statistics, 2019. CA Cancer J Clin. 69:7–34. 2019. View Article : Google Scholar : PubMed/NCBI | |
Bekaii-Saab TS, Ou FS, Ahn DH, Boland PM, Ciombor KK, Heying EN, Dockter TJ, Jacobs NL, Pasche BC, Cleary JM, et al: Regorafenib dose-optimisation in patients with refractory metastatic colorectal cancer (ReDOS): A randomised, multicentre, open-label, phase 2 study. Lancet Oncol. 20:1070–1082. 2019. View Article : Google Scholar : PubMed/NCBI | |
Gunjur A: Targeted therapy for BRAF-mutant colorectal cancer. Lancet Oncol. 20:e6182019. View Article : Google Scholar : PubMed/NCBI | |
Pfeiffer P, Yilmaz M, Möller S, Zitnjak D, Krogh M, Petersen LN, Poulsen LØ, Winther SB, Thomsen KG and Qvortrup C: TAS-102 with or without bevacizumab in patients with chemorefractory metastatic colorectal cancer: An investigator-initiated, open-label, randomised, phase 2 trial. Lancet Oncol. 21:412–420. 2020. View Article : Google Scholar : PubMed/NCBI | |
Hu M, Zhou X, Wang Y, Guan K and Huang L: Relaxin-FOLFOX-IL-12 triple combination therapy engages memory response and achieves long-term survival in colorectal cancer liver metastasis. J Control Release. 319:213–221. 2020. View Article : Google Scholar : PubMed/NCBI | |
Huyghe JR, Bien SA, Harrison TA, Kang HM, Chen S, Schmit SL, Conti DV, Qu C, Jeon J, Edlund CK, et al: Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet. 51:76–87. 2019. View Article : Google Scholar : | |
Chi Y, Wang D, Wang J, Yu W and Yang J: Long non-coding RNA in the pathogenesis of cancers. Cells. 8:10152019. View Article : Google Scholar : | |
Galamb O, Barták BK, Kalmár A, Nagy ZB, Szigeti KA, Tulassay Z, Igaz P and Molnár B: Diagnostic and prognostic potential of tissue and circulating long non-coding RNAs in colorectal tumors. World J Gastroenterol. 25:5026–5048. 2019. View Article : Google Scholar : PubMed/NCBI | |
Wei L, Wang X, Lv L, Zheng Y, Zhang N and Yang M: The emerging role of noncoding RNAs in colorectal cancer chemoresistance. Cell Oncol (Dordr). 42:757–768. 2019. View Article : Google Scholar | |
Xu M, Xu X, Pan B, Chen X, Lin K, Zeng K, Liu X, Xu T, Sun L, Qin J, et al: LncRNA SATB2-AS1 inhibits tumor metastasis and affects the tumor immune cell microenvironment in colorectal cancer by regulating SATB2. Mol Cancer. 18:1352019. View Article : Google Scholar : PubMed/NCBI | |
Zhang Y, Chen W, Pan T, Wang H, Zhang Y and Li C: LBX2-AS1 is activated by ZEB1 and promotes the development of esophageal squamous cell carcinoma by interacting with HNRNPC to enhance the stability of ZEB1 and ZEB2 mRNAs. Biochem Biophys Res Commun. 511:566–572. 2019. View Article : Google Scholar : PubMed/NCBI | |
Tang LX, Su SF, Wan Q, He P, Xhang Y and Cheng XM: Novel long non-coding RNA LBX2-AS1 indicates poor prognosis and promotes cell proliferation and metastasis through notch signaling in non-small cell lung cancer. Eur Rev Med Pharmacol Sci. 23:7419–7429. 2019.PubMed/NCBI | |
Yang Z, Dong X, Pu M, Yang H, Chang W, Ji F, Liu T, Wei C, Zhang X and Qiu X: LBX2-AS1/miR-219a-2-3p/FUS/LBX2 positive feedback loop contributes to the proliferation of gastric cancer. Gastric Cancer. 23:449–463. 2020. View Article : Google Scholar | |
Wang Y, Zhao Y, Zhang X, Zhang A and Ma J: Long noncoding RNA LBX2-AS1 drives the progression of hepatocellular carcinoma by sponging microRNA-384 and thereby positively regulating IRS1 expression. Pathol Res Pract. 216:1529032020. View Article : Google Scholar : PubMed/NCBI | |
Sakai S, Ohhata T, Kitagawa K, Uchida C, Aoshima T, Niida H, Suzuki T, Inoue Y, Miyazawa K and Kitagawa M: Long noncoding RNA ELIT-1 acts as a Smad3 cofactor to facilitate TGFβ/Smad signaling and promote epithelial-mesenchymal transition. Cancer Res. 79:2821–2838. 2019. View Article : Google Scholar : PubMed/NCBI | |
Wang C, Yang Y, Zhang G, Li J, Wu X, Ma X, Shan G and Mei Y: Long noncoding RNA EMS connects c-Myc to cell cycle control and tumorigenesis. Proc Natl Acad Sci USA. 116:14620–14629. 2019. View Article : Google Scholar : PubMed/NCBI | |
Xie JJ, Jiang YY, Jiang Y, Li CQ, Lim MC, An O, Mayakonda A, Ding LW, Long L, Sun C, et al: Super-enhancer-driven long non-coding RNA LINC01503, regulated by TP63, is over-expressed and oncogenic in squamous cell carcinoma. Gastroenterology. 154:2137–2151.e1. 2018. View Article : Google Scholar : PubMed/NCBI | |
Cheng C, Zhang Z, Cheng F and Shao Z: Exosomal lncRNA RAMP2-AS1 derived from chondrosarcoma cells promotes angiogenesis through miR-2355-5p/VEGFR2 axis. Onco Targets Ther. 13:3291–3301. 2020. View Article : Google Scholar : PubMed/NCBI | |
Li P, Li Y, Dai Y, Wang B, Li L, Jiang B, Wu P and Xu J: The LncRNA H19/miR-1-3p/CCL2 axis modulates lipopolysaccharide (LPS) stimulation-induced normal human astrocyte proliferation and activation. Cytokine. 131:1551062020. View Article : Google Scholar : PubMed/NCBI | |
Zhang Q, Jin X, Shi W, Chen X, Pang W, Yu X and Yang L: A long non-coding RNA LINC00461-dependent mechanism underlying breast cancer invasion and migration via the miR-144-3p/KPNA2 axis. Cancer Cell Int. 20:1372020. View Article : Google Scholar : PubMed/NCBI | |
Cheng Q and Wang L: LncRNA XIST serves as a ceRNA to regulate the expression of ASF1A, BRWD1M, and PFKFB2 in kidney transplant acute kidney injury via sponging hsa-miR-212-3p and hsa-miR-122-5p. Cell Cycle. 19:290–299. 2020. View Article : Google Scholar : PubMed/NCBI | |
Tang Z, Li C, Kang B, Gao G, Li C and Zhang Z: GEPIA: A web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 45:W98–W102. 2017. View Article : Google Scholar : PubMed/NCBI | |
Fornes O, Castro-Mondragon JA, Khan A, van der Lee R, Zhang X, Richmond PA, Modi BP, Correard S, Gheorghe M, Baranašić D, et al: JASPAR 2020: update of the open-access database of transcription factor binding profiles. Nucleic Acids Res. 48:D87–D92. 2020. | |
Netanely D, Stern N, Laufer I and Shamir R: An interactive tool for analyzing clinically-labeled multi-omic cancer datasets. BMC Bioinformatics. 20:7322019. View Article : Google Scholar | |
Mas-Ponte D, Carlevaro-Fita J, Palumbo E, Hermoso Pulido T, Guigo R and Johnson R: LncATLAS database for subcellular localization of long noncoding RNAs. RNA. 23:1080–1087. 2017. View Article : Google Scholar : PubMed/NCBI | |
Cao Z, Pan X, Yang Y, Huang Y and Shen HB: The lncLocator: A subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier. Bioinformatics. 34:2185–2194. 2018. View Article : Google Scholar : PubMed/NCBI | |
Li JH, Liu S, Zhou H, Qu LH and Yang JH: starBase v2.0: Decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data. Nucleic Acids Res. 42:D92–D97. 2014. View Article : Google Scholar | |
Chandrashekar DS, Bashel B, Balasubramanya SAH, Creighton CJ, Ponce-Rodriguez I, Chakravarthi BVSK and Varambally S: UALCAN: A portal for facilitating tumor subgroup gene expression and survival analyses. Neoplasia. 19:649–658. 2017. View Article : Google Scholar : PubMed/NCBI | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar | |
Xu Z, Zhu C, Chen C, Zong Y, Feng H, Liu D, Feng W, Zhao J and Lu A: CCL19 suppresses angiogenesis through promoting miR-206 and inhibiting Met/ERK/Elk-1/HIF-1α/VEGF-A pathway in colorectal cancer. Cell Death Dis. 9:9742018. View Article : Google Scholar | |
Ma J, Liu X, Chen H, Abbas MK, Yang L, Sun H, Sun T, Wu B, Yang S and Zhou D: c-KIT-ERK1/2 signaling activated ELK1 and upregulated carcinoembryonic antigen expression to promote colorectal cancer progression. Cancer Sci. 112:655–667. 2021. View Article : Google Scholar | |
Yano S, Wu S, Sakao K and Hou DX: Involvement of ERK1/2-mediated ELK1/CHOP/DR5 pathway in 6-(methylsulfinyl)hexyl isothiocyanate-induced apoptosis of colorectal cancer cells. Biosci Biotechnol Biochem. 83:960–969. 2019. View Article : Google Scholar : PubMed/NCBI | |
Kent OA, Mendell JT and Rottapel R: Transcriptional regulation of miR-31 by oncogenic KRAS mediates metastatic phenotypes by repressing RASA1. Mol Cancer Res. 14:267–277. 2016. View Article : Google Scholar : PubMed/NCBI | |
Xu G, Zhang Y, Li N, Wu Y, Zhang J, Xu R and Ming H: LBX2-AS1 up-regulated by NFIC boosts cell proliferation migration and invasion in gastric cancer through targeting miR-491-5p/ZNF703. Cancer Cell Int. 20:1362020. View Article : Google Scholar | |
Lu L, Cai M, Peng M, Wang F and Zhai X: miR-491-5p functions as a tumor suppressor by targeting IGF2 in colorectal cancer. Cancer Manag Res. 11:1805–1816. 2019. View Article : Google Scholar : PubMed/NCBI | |
Zhang J, Raju GS, Chang DW, Lin SH, Chen Z and Wu X: Global and targeted circulating microRNA profiling of colorectal adenoma and colorectal cancer. Cancer. 124:785–796. 2018. View Article : Google Scholar | |
Jung Y, Lee S, Choi HS, Kim SN, Lee E, Shin Y, Seo J, Kim B, Jung Y, Kim WK, et al: Clinical validation of colorectal cancer biomarkers identified from bioinformatics analysis of public expression data. Clin Cancer Res. 17:700–709. 2011. View Article : Google Scholar : PubMed/NCBI | |
Moravkova P, Kohoutova D, Vavrova J and Bures J: Serum S100A6, S100A8, S100A9 and S100A11 proteins in colorectal neoplasia: Results of a single centre prospective study. Scand J Clin Lab Invest. 80:173–178. 2020. View Article : Google Scholar | |
Wang G, Wang X, Wang S, Song H, Sun H, Yuan W, Cao B, Bai J and Fu S: Colorectal cancer progression correlates with upregulation of S100A11 expression in tumor tissues. Int J Colorectal Dis. 23:675–682. 2008. View Article : Google Scholar : PubMed/NCBI | |
Chang Y, Li N, Yuan W, Wang G and Wen J: LINC00997, a novel long noncoding RNA, contributes to metastasis via regulation of S100A11 in kidney renal clear cell carcinoma. Int J Biochem Cell Biol. 116:1055902019. View Article : Google Scholar : PubMed/NCBI | |
Niu Y, Shao Z, Wang H, Yang J, Zhang F, Luo Y, Xu L, Ding Y and Zhao L: LASP1-S100A11 axis promotes colorectal cancer aggressiveness by modulating TGFβ/Smad signaling. Sci Rep. 6:261122016. View Article : Google Scholar |