Abstract
Increasing evidence highlights the multiple roles of microRNAs (miRs) in the tumorigenesis of colorectal cancer (CRC); however, the molecular mechanism, particularly the target of miR-146b-5p in CRC has not been fully elucidated. The present study aimed to elucidate the influence of miR-146b-5p via regulating tumor necrosis factor receptor-associated factor 6 (TRAF6) in CRC. The expression levels of miR-146b-5p and TRAF6 in CRC tissue and cells were determined by reverse transcription quantitative PCR and western blotting. Binding between miR-146b-5p and TRAF6 was examined using a dual luciferase reporter gene assay. The impact of miR-146b-5p and TRAF6 on proliferation and migration of CRC cells was determined using Cell Counting Kit-8 and Transwell assays, respectively. An animal model of CRC was established to determine the carcinogenic effect of the miR-146b-5p-TRAF6 axis. The results demonstrated that miR-146b-5p was highly expressed in CRC tissue samples compared with in normal adjacent tissue samples and in CRC cells compared with in the normal NCM460 cell line, whereas TRAF6 was expressed at low levels. Overexpression of miR-146b-5p decreased TRAF6 expression in CRC HT29 and SW620 cells. miR-146b-5p targeted and inhibited TRAF6 expression in CRC cells. Furthermore, transfection with a miR-146b-5p mimic promoted the proliferation, migration and invasion of CRC cells and tumor growth; however, these effects were abolished by TRAF6 overexpression. Transfection with a miR-146b-5p inhibitor suppressed the proliferation of CRC cells. Taken together, the results from the present study demonstrated that miR-146b-5p could enhance the initiation and tumorigenesis of CRC by targeting TRAF6. These results will help elucidate the mechanisms underlying CRC development and will facilitate the development of targeted therapy for CRC.
Keywords: colorectal cancer, microRNA-146b-5p, tumor necrosis factor receptor-associated factor 6, tumorigenesis
Introduction
Colorectal cancer (CRC) is one of the most common malignancies and is characterized by high morbidity and mortality rates worldwide (1). In recent years, the number of patients with CRC has risen globally due to improvements in people's livelihoods and changes in the diet, and the number of new cases per year has increased to ~1.4 million worldwide (2,3). Surgery and chemotherapy are currently the main treatment options for CRC. Although surgical resection achieves great efficacy in patients with early CRC, surgery fails to completely remove lesions in patients with advanced CRC, especially cases of T4-stage CRC, and the recurrence rate is therefore high (>25%) (4,5). Chemotherapy following surgery consists usually of an adjuvant treatment for advanced CRC; however, the emergence of drug resistance has limited its efficacy (6). Great attention has therefore been paid to explore novel and effective targeted therapies for CRC; however, the underlying mechanisms of CRC development and metastasis remain unclear.
MicroRNA (miRNA/miR) is a type of small RNA containing 18-25 nucleotides (7). miRNA molecules bind to the 3'-UTR of an mRNA transcript, thereby regulating gene expression (8). In recent years, increasing evidence has highlighted the role of miRNAs in cancer, including cervical cancer (9) and hepatocellular carcinoma (10). Furthermore, miRNA has been reported to serve a pivotal role in CRC development (11,12) and certain peripheral blood miRNA molecules are considered as promising markers for early screening of CRC (13,14). For example, miR-4711-5p can downregulate the expression of Kruppel-like factor 5 to inhibit CRC development (15). Furthermore, miR-146b-5p, which is located on the chromosome 10 and belongs to the miRNA-146b family, is abnormally expressed in several types of cancer, including lung cancer (16), gallbladder carcinoma (17) and breast cancer (18). miR-146b-5p was recently reported to regulate the malignant characteristics of CRC cells by targeting pyruvate dehydrogenase E1 subunit β (PDHB) (19); however, its role in CRC remains unknown. As a downstream target of miR-146b-5p, tumor necrosis factor receptor-associated factor 6 (TRAF6) has been reported to be a prognostic biomarker in several types of cancer, such as glioma (20), renal cell carcinoma (21), osteosarcoma (22) and hepatocellular carcinoma (23). However, the mechanism by which TRAF6 may function downstream of miR-146b-5p in CRC remains unclear. The present study aimed to determine the effect of the miR-146b-5p/TRAF6 axis on the development of CRC.
Materials and methods
Patient samples
A total of 19 patients diagnosed with CRC between March 2015 and November 2019 at the First Affiliated Hospital of Jinan University (Guangzhou, China) were included in the present study. Patient age ranged from 49 to 86 years (mean age, 63.25 years; nine male patients and 10 female patients). Patients did not receive preoperative radiotherapy or chemotherapy and provided signed informed consent. Cancer and adjacent normal tissue samples (>10 cm away from the tumor) were stored in liquid nitrogen. This study was approved by the Ethics Committee of the First Affiliated Hospital of Jinan University (approval no. 2018038) and performed in accordance with the Declaration of Helsinki.
Cell culture, lentiviral vector construction and cell transfection
The immortalized cell line NCM460 that was used as the normal control and the human CRC cell lines HT29, SW620, LoVo and HCT116 were purchased from the American Type Culture Collection (STR profiling authenticated). Cells were cultured in RPMI 1640 (Beijing Solarbio Science & Technology Co., Ltd.) supplemented with 10% FBS (Gibco; Thermo Fisher Scientific, Inc.), 1% penicillin (Gibco; Thermo Fisher Scientific, Inc.), and 1% streptomycin (Gibco; Thermo Fisher Scientific, Inc.) and placed at 37˚C in a humidified incubator containing 5% CO2. HT29 and SW620 cells were transfected with the miR-146b-5p mimic (double strand, 5'-UGAGAACUGAAUUCCAUAGGCU-3', 200 nM; Thermo Fisher Scientific, Inc.) or miR-146b-5p inhibitor (5'-GCCUAUGGAAUUCAGUUCUC-3', 200 nM; Thermo Fisher Scientific, Inc.) using Lipofectamine™ 3000 (Invitrogen; Thermo Fisher Scientific, Inc.). For miR negative control (NC), scramble NC (5'-GUGUAACACGUCUAUACGCCCA-3'; 200 nM), mimic NC (double strand, 5'-UUCUCCGAACGUGUCACGUTT-3'; 200 nM; Thermo Fisher Scientific, Inc.) and inhibitor NC (CAGUACUUUUGUGUAGUACAA; 200 nM; Thermo Fisher Scientific, Inc.) were used. Transfection was performed at 37˚C, after which the cells were harvested after 24 h.
To generate the TRAF6 overexpression stable cell line, a 2nd-generation lentiviral system was used. Briefly, TRAF6 was amplified by PCR with the following primers: Forward, with XhoI + kozak sequence, 5'-GGACTCTCGAGGCCATGGAGTCTGCTAAACTGT-3' and reverse, with Xbal sequence- 5'CTTGTCTAGATGCAGTCGTCGAGGAATTGCTAT-3'). Subsequently, TRAF6 cDNA was inserted into a pEGFP-C1 vector (Takara Bio USA, Inc.) to generate a GFP-TRAF6 overexpression plasmid; the pEGFP-C1 vector was used as a control. The product was then inserted into the lentivirus pLVX-puro vector (Takara Bio, Inc.). This construct, together with pHelper 1.0 vector (Shanghai GeneChem Co., Ltd.) encoding the gag, pol and rev genes, and with pHelper 2.0 (Shanghai GeneChem Co., Ltd.) encoding the VSV-G gene were transfected into 293T cells (Shanghai GeneChem Co., Ltd.) for packaging for 72 h, 37˚C. Then, the lentiviruses were harvested by ultracentrifugation (Beckman SW32ti; Beckman Coulter) at 120,000 x g for 2 h at 4˚C. HT29 cells were infected with a multiplicity of infection of 10 for 48 h, then cultured in the presence of puromycin (Sangon Biotech Co., Ltd.; 2 µg/ml) for 2 weeks to screen cells stably overexpressing TRAF6. The overexpression was verified by western blotting.
Reverse transcription quantitative (RT-q)PCR
Total RNA was extracted from cells or tissue samples using a TaqMan™ MicroRNA Cells-to-CT™ Kit (Thermo Fisher Scientific, Inc.) and was reverse-transcribed into cDNA also using this kit. The cDNA was mixed with primers and TaqMan Master Mix (2x; Thermo Fisher Scientific, Inc.) provided the kit. The sequences of the primers were as follows: TRAF6 forward, 5'-CTATTCACCAGTTAGAGGG-3', reverse, 5'-GCTCACTTACATACATACT-3' and miR-146b-5p forward, 5'-CCTGGCACTGAGAACTGAAT-3' and reverse, 5'-GCACCAGAACTGAGTCCACA-3'. U6 (forward, 5'-CGCTTCGGCAGCACATATACTA-3'; reverse, 5'-GCGAGCACAGAATTAATACGAC-3') and GAPDH (forward, 5'-GAGTCCACTGGCGTCTTC-3'; reverse, 5'-GGGGTGCTAAGCAGTTGGT-3') were used as controls. RT-qPCR reactions were performed as follows: 95˚C for 5 min, followed by 40 cycles at 95˚C for 5 sec and 60˚C for 1 min using the ABI 7500 Real-Time PCR System (Applied Biosystems). The relative expression levels were normalized to endogenous control and were expressed as 2-ΔΔCq (24). RT-qPCR for miR-146b-5p was performed using the miRNA Detection Kit (Qiagen, Inc.). Experiments were performed in triplicate.
Cell Counting Kit-8 (CCK-8) assay
HT29 and SW620 cells were seeded on a 6-well plate at the density of 1x105 cells/well. After 24 h of transfection, the cells were transferred to a 96-well plate and incubated for 24, 48, 72 and 96 h. Subsequently, CCK-8 solution (Beyotime Institute of Biotechnology; 10% v/v) was added to the cells for 4 h at 37˚C. Absorbance was measured at 450 nm using a microplate reader (Benchmark Plus; Bio-Rad Laboratories, Inc.). The cell viability was analyzed after 24, 48, 72 and 96 h.
Transwell assay
A total of 1x105 HT29 and SW620 CRC cells were digested and suspended in serum-free medium. Cells were seeded into the upper chamber of a 24-well plate, either precoated with Matrigel (for 2 h at 37˚C) or uncoated, and medium containing 10% FBS was added to the lower chamber. After 24 h at 37˚C, cells in the lower chamber were fixed with 4% paraformaldehyde for 40 min at 4˚C and stained with 0.1% crystal violet at room temperature for 30 min. Cells were observed under a light microscope and the number of cells that have invaded or migrated the lower chamber were counted.
Colony formation assay
For the colony formation assay, transfected or control HT29 and SW620 CRC cells were suspended in culture medium and were seeded on a 0.5% soft agar layer at the density of 2x104 cells per well in 6-well plates. After 2-3 weeks, the supernatant was harvested and cells were stained with 4 mg/ml crystal violet (Beyotime Institute of Biotechnology) for 30 min at room temperature. The number of colonies was counted using a light microscope (magnification, x5).
Immunohistochemistry
CRC and adjacent non-tumor tissue samples were fixed with 4% formaldehyde (Beyotime Institute of Biotechnology) at room temperature for 12 h, embedded in paraffin and sliced into 5-7-µm sections. Sections were dewaxed with xylene and hydrated in a descending gradient of alcohol solutions from 100 to 75%. Antigen retrieval was performed by heating samples in citrate buffer (pH 6.0) for 5 min in a microwave. Sections were treated with 3% hydrogen peroxide for 10 min at room temperature to remove endogenous peroxidase and were incubated with primary antibody against TRAF6 (Abcam; cat. no. ab33915; 1:500) at 4˚C overnight and with a secondary antibody (Jackson ImmunoResearch Laboratories, Inc.; cat. no. 111-035-003; 1:1,000) at room temperature for 1 h. The images were analyzed using ImageJ version 1.8 (National Institutes of Health). For scoring TRAF6, the frequency of staining was determined using the following scale: 0, no or hardly any cells positive; 1, small fraction of cells positive; 2, approximately half of the cells positive, 3=more than half of the cells positive; 4, all or the majority of cells positive.
Western blotting
Proteins were extracted from CRC tissues and cells using RIPA lysis buffer (Beyotime Institute of Biotechnology) at room temperature, and the protein concentration was measured using a BCA kit (Beyotime Institute of Biotechnology). Proteins (30 µg protein/lane) were separated by SDS-PAGE on 8% gels and transferred onto a PVDF membrane as previously described (25). Membranes were blocked with 5% skimmed milk powder at room temperature for 1 h and incubated with primary antibodies against TRAF6 (monoclonal antibody; cat. no. ab33915; 1:1,000), cleaved PARP (cat. no. ab32064; 1:1,000), cleaved caspase-3 (cat. no. ab32042; 1:500), GFP (cat. no. ab290; 1:1,000) and GAPDH (cat. no. ab8245; 1:2,000) (all from Abcam), at 4˚C overnight. Membranes were then incubated with anti-mouse and anti-rabbit secondary antibodies (cat. nos. 115-035-003 and 111-035-003; 1:2,000; Jackson ImmunoResearch Laboratories, Inc.). Subsequently, the blots were visualized using an ECL kit (cat. no. P0018M; Beyotime Institute of Biotechnology) and the densitometry data were analyzed by ImageJ version 1.8.
Bioinformatics analysis
To predict the potential binding interaction between miR-146b-5p and TRAF6, TargetScan (26) and starBase (27) tools were applied. In starBase (http://starbase.sysu.edu.cn/index.php), we used ‘miRNA-mRNA’ analysis with the input of miRNA (has-miR-146b-5p) and the target of TRAF6. The results showed significant interactions between miR-146b-5p and TRAF6 in multiple databases, such as RNA22(28), miRmap (29), PicTar (https://pictar.mdc-berlin.de/) and TargetScan. Subsequently, the results were verified in Targetscan (http://www.targetscan.org/vert_72/) with the input of human gene symbol ‘TRAF6’ and the matching sequence was shown. For the mRNA expression of TRAF6 in different types of cancer, the GEPIA tool (30) was used, with the search term of ‘TRAF6’ for expression profile, the parameters selected were: ‘ANOVA analysis of log-scale’ and ‘match TCGA normal and GTEx data’.
Dual-luciferase reporter gene assay
A potential binding site between miR-146b-5p and TRAF6 was predicted by starBase v2.0(27). The 3' UTR sequence of TRAF6 mRNA containing the wild-type or mutant miR-146b-5p-binding site (TRAF6 3'-UTR-wt and TRAF6 3'-UTR-mut, respectively; ~300 nucleotide long both) was synthesized by Shanghai GenePharma Co., Ltd. and was cloned into the pmirGLO vector (Promega Corporation). Cells were co-transfected with the negative control and miR-146b-5p mimic with Lipofectamine 3000. The dual luciferase reporter gene assay was conducted to detect luciferase activity (firefly and Renilla luciferase activities) after 48 h in a BioTek Synergy 2 luminometer (BioTek Instruments Inc.) according to the manufacturer's instructions. Firefly luciferase activities were normalized against Renilla luciferase activities to determine relative fluorescence intensity.
Xenograft mouse model
HT29 cells stably overexpressing TRAF6 or transfected with an empty vector were subcutaneously injected into 15 immunodeficient BALB/c nude mice (Laboratory Animal Center of Jinan University; male; age, 4-6 weeks; weighing, 18-22 g); five mice per group; 2 mice were found dead in the miR-146b-5p group because of tumor burden; thus, 3 mice are shown for each group. The mice were housed in specific pathogen free facilities under a 12 h light/dark cycle, and temperature-(25˚C) and humidity-controlled (50-60%) conditions. The miR-146b-5p mimic or negative control was injected into the tumor four times with 1-week interval. When tumor volume reached 50 mm3, the volume was measured every 5 days. After ~25 days, when tumors reached 15x15 mm in size in the control group, the mice were euthanized by intraperitoneal injection of 4% pentobarbital (180 mg/kg) and subcutaneous tumors were collected and weighed. Death was confirmed by cervical dislocation. The related experiment was performed at the Laboratory Animal Center. The animal experiments were approved by the Laboratory Animal Ethics Committee of Jinan University (approval no. 2019231). All animal procedures followed the guidelines issued by the China Animal Protection Association.
Statistical analysis
The data are presented as the mean ± standard deviation and analyzed using SPSS 21.0 statistical software (IBM Corp.). Cancer and adjacent normal tissue samples were compared using paired t-tests. Differences between two groups were compared using unpaired t-tests, and differences between multiple groups were determined using one-way ANOVA followed by Tukey's post hoc test. To assess correlation, the Pearson correlation analysis was performed. P<0.05 was considered to indicate a statistically significant difference.
Results
miR-146b-5p is upregulated in CRC tissue and cell lines
We evaluated the miR-146b-5p expression level in tissue sample from patients with CRC by RT-qPCR analysis (Fig. 1A). Expression of miR-146b-5p was significantly upregulated in CRC compared with normal tissue. Furthermore, RT-qPCR analysis revealed that miR-146b-5p was overexpressed in CRC cells (Fig. 1B) compared with the normal cell line. miR-146b-5p may therefore be involved in CRC progression.
miR-146b-5p increases the proliferation and migration of CRC cells in vitro
To investigate the function of miR-146b-5p in CRC cells, two CRC cell lines (HT29 and SW620) were transfected with an miR-146b-5p mimics and inhibitor. All the controls (scramble NC, inhibitor NC and mimic NC) showed no effect on the expression of miR-146b-5p in both cell lines (Fig. S1), thus scramble NC was used for the following experiments. The results from RT-qPCR confirmed the efficiency of transfection with miR-146b-5p mimic and inhibitor (Fig. 1C and D). The inhibitory efficiency was 60% in the inhibitor-transfected group compared with the control group (Fig. 1D). Furthermore, the results from colony formation assay demonstrated that miR-146b-5p mimics significantly promoted whereas miR-146b-5p inhibitor significantly inhibited the colony growth of HT29 (Fig. 1E) and SW620 cells (Fig. 1F). To confirm the impact of miR-146b-5p on the expression of protein related to the cell apoptotic pathway, cell lysates were subjected to western blotting. As presented in Fig. 2A and B, the miR-146b-5p inhibitor markedly increased the expression of cleaved PARP and cleaved caspase-3 proteins, which are markers of apoptosis. Furthermore, the results from CCK-8 assays demonstrated that proliferation of HT29 and SW620 cells was significantly increased by the miR-146b-5p mimics, but significantly decreased by the miR-146b-5p inhibitor (Fig. 2C and D). The Transwell assays revealed that miR-146b-5p mimics significantly increased cell migration and invasion, whereas miR-146b-5p inhibitor decreased them (Fig. 2E-H). Taken together, these results indicated that miR-146b-5p may promote the development of CRC.
miR-146b-5p targets TRAF6 in CRC cells
According to TCGA and GTEx databases, TRAF6 was downregulated in CRC tissue samples; compared with in the normal tissue group, the TPM value of TRAF6 was significantly decreased in the colon adenocarcinoma tumor group (Fig. 3A). Immunohistochemistry was then performed to evaluate the expression of TRAF6 in CRC and normal tissue samples (Fig. 3B) and western blotting was used to determine TRAF6 expression in CRC cell lines (Fig. 3C). The results demonstrated that TRAF6 expression was significantly decreased in CRC tissue and CRC cell lines compared with normal tissue and cell lines, respectively (Fig. 3B and C).
Correlation analysis revealed a negative correlation between TRAF6 expression and miR-146b-5p expression in the collected CRC tissues (Fig. 4A). Furthermore, bioinformatics analysis was performed using Targetscan (26) and starBase (27) and found that a sequence of 3' UTR of TRAF6 matched miR-146b-5p (Fig. 4B), indicating that TRAF6 may be a target of miR-146b-5p. To investigate whether miR-146b-5p would bind to TRAF6 in CRC cells, the sequence of TRAF6 containing the potential binding site was cloned into the pmirGLO vector. The results demonstrated that luciferase activity was decreased upon transfection of TRAF6 3'-UTR-wt and miR-146b-5p but was unaffected upon transfection of TRAF6 3'-UTR-mut and miR-146b-5p (Fig. 4B-D) in both HT19 and SW620 cells. Furthermore, TRAF6 expression was significantly decreased following transfection with miR-146b-5p mimics and significantly increased after transfection with miR-146b-5p inhibitor (Fig. 4E and F). These findings demonstrated that TRAF6 may be a target of miR-146b-5p.
miR-146b-5p promotes CRC development by inhibiting the expression of TRAF6
To further elucidate the role of the miR-146b-5p-TRAF6 axis in CRC, CRC cells were transfected with a TRAF6-expressing vector and with miR-146b-5p. The expression of GFP-TRAF6 in both cell lines was determined by western blotting with GFP antibody and the overexpression was confirmed (Fig. S2). As presented in Fig. 5A and B, TRAF6 overexpression significantly inhibited the effect of miR-146b-5p on colony formation. Western blotting demonstrated that TRAF6 overexpression induced the cleavage of PARP and caspase-3 (Fig. 5C and D). In addition, CCK-8 (Fig. 5E and F) and Transwell (Fig. 5G and H) assays demonstrated that overexpression of miR-146b-5p potentiated the malignant characteristics of CRC cells, and that these effects were abrogated following TRAF6 overexpression.
To determine the interaction between miR-146b-5p and TRAF6 in vivo, HT-29 cells stably overexpressing TRAF6 were generated via lentivirus infection. The western blotting results demonstrated that the transfection was efficient (Fig. 6A). A murine xenograft tumor model was then established to evaluate the role of the miR-146b-5p-TRAF6 axis in tumor growth. Tumor samples were harvested 25 days after tumor cell injection. As presented in Fig. 6B, miR-146b-5p overexpression significantly promoted tumor growth. Furthermore, miR-146b-5p expression in each group was determined by RT-qPCR (Fig. 6C) and tumor weight (Fig. 6D) and volume (Fig. 6E) were evaluated. The data showed that miR-146b-5p significantly promoted tumor growth in vivo, whereas overexpression of TRAF6 significantly abolished the tumor growth induced by miR-146b-5p (Fig. 6C-E). The results demonstrated that the effects of miR-146b-5p were reversed in cells stably overexpressing TRAF6 (Fig. 6). Taken together, these findings demonstrated that miR-146b-5p may target the tumor suppressor TRAF6 to promote CRC.
Discussion
In recent years, numerous studies have focused on biomarkers of CRC due to challenges in the treatment of this cancer. miRNAs have been frequently reported to serve some roles in numerous cancers. For example, miR-144 was reported to target KLF4 to increase the proliferation and invasion of CRC stem cells (31). Marques et al (32) analyzed the differentially expressed genes in tissue samples of patients with CRC from the TCGA database and identified several potential novel biomarkers, such as hsa-miR-125b-2-3p, hsa-miR-1248 and hsa-miR-190a-5p. The present study demonstrated that miR-146b-5p expression was significantly increased in CRC tissue and cells compared with normal tissue and cells, respectively. Furthermore, overexpression of miR-146b-5p promoted the proliferation, migration, and invasion of HT29 and SW620 cells, while its inhibition suppressed the proliferation, migration, and invasion of CRC cells.
miR-146b-5p is expressed in most human organs and serves important roles in numerous diseases, including neurodegenerative diseases (33,34), inflammation (35-37) and tumors (38,39). Wu et al (34) identified differentially expressed miRNAs in peripheral blood of patients with Alzheimer's disease using small RNA sequencing and reported that miR-146b-5p might contribute to this disease. In addition, miR-146b-5p is a regulator of NF-κB in many diseases and thereby targets inflammation. In an acute lung injury model constructed by Zhu and Chen (40), forkhead box P3 overexpression reduces lung damage and inhibits inflammation by targeting the miR-146b-5p/Robo1/NF-κB axis. Furthermore, upregulation of miR-146b-5p may involve low-grade chronic inflammation and oxidative stress in adipose tissue of patients with hyperglycemia (41). miR-146b-5p also affects NF-κB in cancers. For example, in non-small cell lung cancer (NSCLC), miR-146b-5p targets NF-κB and thereby sensitizes cancer cells to epidermal growth factor receptor tyrosine kinase inhibitors (16). Moreover, miR-146b-5p acts as an oncogene by decreasing coiled-coil domain containing 6 expression in papillary thyroid cancer (42). However, few studies have reported the role of miR-146b-5p in gastrointestinal diseases. Upregulation of miR-146b-5p inhibits the expression of KLF4 in intestinal sepsis and therefore contributes to the development of intestinal injury (43). Ranjha et al (44) reported that miR-146b-5p reduces the rectosigmoid area in ulcerative colitis (UC), and that its aberrant expression might trigger the initiation of CRC in the rectosigmoid of patients with UC. Consistent with the finding from Zhu et al (19) showing that miR-146b-5p targets PDHB to restrain CRC tumorigenesis, the present study demonstrated that miR-146b-5p may promote CRC progression by targeting TRAF6. TRAF6, which is a member of the TRAF family, was initially reported to participate in inflammatory signaling pathways and innate immunity (45,46). Previous studies reported that TRAF6 is also associated to cancer because it is highly expressed in various types of tumor, including lung and pancreatic cancers, in which it enhances tumorigenesis and neovascularization of cancer tissue (47-49). The tumor-promoting activity of TRAF6 is also implicated in rectal cancer (50). Mechanistically, miR-124 regulates TRAF6 to promote the proliferation and differentiation of CRC cells (51). Controversially, some evidence indicates that TRAF6 is lowly expressed in human CRC specimens, and that it suppresses the malignant characteristics of CRC cells by regulating the β-catenin and glycogen synthase kinase-3β (52). Therefore, examining the role of TRAF6 in CRC is required. The present study analyzed data from public databases and demonstrated that TRAF6 was lowly expressed in CRC compared with normal tissue. Furthermore, TRAF6 expression is decreased in CRC samples and cell lines compared with normal tissue samples and cell line, respectively. In addition, that miR-146b-5p may promote the development of CRC by targeting and inhibiting TRAF6.
The relationship between miR-146b-5p and TRAF6 in inflammation and cancers has been reported previously. miR-146b-5p was shown to target Interleukin 1 Receptor Associated Kinase 1 and TRAF6 to delay the inflammatory response in several diseases, such as lupus nephritis and neonatal hypoxic ischemic encephalopathy (53-55); however, the function of the miR-146b-5p-TRAF6 axis in cancers is not consistent. In osteosarcoma, p16INK4a and miR-146b-5p function as tumor suppressors, and TRAF6 is the target of miR-146b-5p (22). In NSCLC, ectopic expression of miR-146b-5p inhibits cancer cell proliferation and induces cell cycle arrest, while the expression of miR-146b-5p is negatively correlated with the expression of TRAF6(56). However, in renal cell carcinoma, blocking miR-146b-5p inhibits tumor growth and potentiates the inflammatory response by increasing the expression of TRAF6(21). These different results illustrate the complexity of cancer management and confirm the importance of clarifying the functional role of the miR-146b-5p-TRAF6 axis in CRC.
In summary, the present study determined the molecular mechanism by which miR-146b-5p may induce the initiation and tumorigenesis of CRC by targeting TRAF6. miR-146b-5p was shown to be highly expressed in CRC tissue and TRAF6 was demonstrated to be the target of miR-146b-5p in CRC. In addition, this study showed that TRAF6 could abolish the effects of miR-146b-5p in CRC cells. These findings may provide novel insight into the development of targeted therapy for patients with CRC and lay a foundation for clinical treatment of cancers.
Supplementary Material
Acknowledgements
Not applicable.
Funding Statement
Funding: No funding was received.
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
CW designed the study. LS and YS performed the experiments. ZZ, WW and JQ helped analyze the data. CW supervised the experiments. CW and LS confirm the authenticity of all the raw data. All authors read and approved the final manuscript.
Ethics approval and consent to participate
This study was approved by the Ethics Committee of the First Affiliated Hospital of Jinan University (approval no. 2018038) and patients provided signed informed consent. The animal experiments were approved by the Laboratory Animal Ethics Committee of Jinan University (approval no. 2019231). Animal procedures followed the guidelines issued by the China Animal Protection Association.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
- 1.Labianca R, Beretta GD, Kildani B, Milesi L, Merlin F, Mosconi S, Pessi MA, Prochilo T, Quadri A, Gatta G, et al. Colon cancer. Crit Rev Oncol Hematol. 2010;74:106–133. doi: 10.1016/j.critrevonc.2010.01.010. [DOI] [PubMed] [Google Scholar]
- 2.Zhou Z, Mo S, Dai W, Xiang W, Han L, Li Q, Wang R, Liu L, Zhang L, Cai S, Cai G. Prognostic nomograms for predicting cause-specific survival and overall survival of stage I-III colon cancer patients: A large population-based study. Cancer Cell Int. 2019;19(355) doi: 10.1186/s12935-019-1079-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
- 4.Freeman HJ. Early stage colon cancer. World J Gastroenterol. 2013;19:8468–8473. doi: 10.3748/wjg.v19.i46.8468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Klaver CEL, Kappen TM, Borstlap WAA, Bemelman WA, Tanis PJ. Laparoscopic surgery for T4 colon cancer: A systematic review and meta-analysis. Surg Endosc. 2017;31:4902–4912. doi: 10.1007/s00464-017-5544-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hu T, Li Z, Gao CY, Cho CH. Mechanisms of drug resistance in colon cancer and its therapeutic strategies. World J Gastroenterol. 2016;22:6876–6889. doi: 10.3748/wjg.v22.i30.6876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Yete S, Saranath D. MicroRNAs in oral cancer: Biomarkers with clinical potential. Oral Oncol. 2020;110(105002) doi: 10.1016/j.oraloncology.2020.105002. [DOI] [PubMed] [Google Scholar]
- 8.Hayes J, Peruzzi PP, Lawler S. MicroRNAs in cancer: Biomarkers, functions and therapy. Trends Mol Med. 2014;20:460–469. doi: 10.1016/j.molmed.2014.06.005. [DOI] [PubMed] [Google Scholar]
- 9.Pisarska J, Baldy-Chudzik K. MicroRNA-based fingerprinting of cervical lesions and cancer. J Clin Med. 2020;9(3668) doi: 10.3390/jcm9113668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Morishita A, Oura K, Tadokoro T, Fujita K, Tani J, Masaki T. MicroRNAs in the pathogenesis of hepatocellular carcinoma: A review. Cancers (Basel) 2021;13(514) doi: 10.3390/cancers13030514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Machackova T, Prochazka V, Kala Z, Slaby O. Translational potential of MicroRNAs for preoperative staging and prediction of chemoradiotherapy response in rectal cancer. Cancers (Basel) 2019;11(1545) doi: 10.3390/cancers11101545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Yaghoubi N, Zahedi Avval F, Khazaei M, Aghaee-Bakhtiari SH. MicroRNAs as potential investigative and predictive biomarkers in colorectal cancer. Cell Signal. 2021;80(109910) doi: 10.1016/j.cellsig.2020.109910. [DOI] [PubMed] [Google Scholar]
- 13.Rapado-González Ó, Álvarez-Castro A, López-López R, Iglesias-Canle J, Suárez-Cunqueiro MM, Muinelo-Romay L. Circulating microRNAs as promising biomarkers in colorectal cancer. Cancers (Basel) 2019;11(898) doi: 10.3390/cancers11070898. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Cojocneanu R, Braicu C, Raduly L, Jurj A, Zanoaga O, Magdo L, Irimie A, Muresan MS, Ionescu C, Grigorescu M, Berindan-Neagoe I. Plasma and tissue specific miRNA expression pattern and functional analysis associated to colorectal cancer patients. Cancers (Basel) 2020;12(843) doi: 10.3390/cancers12040843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Morimoto Y, Mizushima T, Wu X, Okuzaki D, Yokoyama Y, Inoue A, Hata T, Hirose H, Qian Y, Wang J, et al. miR-4711-5p regulates cancer stemness and cell cycle progression via KLF5, MDM2 and TFDP1 in colon cancer cells. Br J Cancer. 2020;122:1037–1049. doi: 10.1038/s41416-020-0758-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Liu YN, Tsai MF, Wu SG, Chang TH, Tsai TH, Gow CH, Wang HY, Shih JY. miR-146b-5p enhances the sensitivity of NSCLC to EGFR tyrosine kinase inhibitors by regulating the IRAK1/NF-κB pathway. Mol Ther Nucleic Acids. 2020;22:471–483. doi: 10.1016/j.omtn.2020.09.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lv YP, Shi W, Liu HX, Kong XJ, Dai DL. Identification of miR-146b-5p in tissues as a novel biomarker for prognosis of gallbladder carcinoma. Eur Rev Med Pharmacol Sci. 2017;21:518–522. [PubMed] [Google Scholar]
- 18.Li S, Hao J, Hong Y, Mai J, Huang W. Long non-coding RNA NEAT1 promotes the proliferation, migration, and metastasis of human breast-cancer cells by inhibiting miR-146b-5p expression. Cancer Manag Res. 2020;12:6091–6101. doi: 10.2147/CMAR.S252295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zhu Y, Wu G, Yan W, Zhan H, Sun P. miR-146b-5p regulates cell growth, invasion, and metabolism by targeting PDHB in colorectal cancer. Am J Cancer Res. 2017;7:1136–1150. [PMC free article] [PubMed] [Google Scholar]
- 20.Liu J, Xu J, Li H, Sun C, Yu L, Li Y, Shi C, Zhou X, Bian X, Ping Y, et al. miR-146b-5p functions as a tumor suppressor by targeting TRAF6 and predicts the prognosis of human gliomas. Oncotarget. 2015;6:29129–29142. doi: 10.18632/oncotarget.4895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Meng G, Li G, Yang X, Xiao N. doi: 10.1002/jcb.27566. Inhibition of miR146b-5p suppresses CT-guided renal cell carcinoma by targeting TRAF6. J Cell Biochem: Sep 11, 2018 (Epub ahead of print). doi.org/10.1002/jcb.27566. [DOI] [PubMed] [Google Scholar]
- 22.Jiang M, Lu W, Ding X, Liu X, Guo Z, Wu X. p16INK4a inhibits the proliferation of osteosarcoma cells through regulating the miR-146b-5p/TRAF6 pathway. Biosci Rep. 2019;39(BSR20181268) doi: 10.1042/BSR20181268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Li C, Miao R, Liu S, Wan Y, Zhang S, Deng Y, Bi J, Qu K, Zhang J, Liu C. Down-regulation of miR-146b-5p by long noncoding RNA MALAT1 in hepatocellular carcinoma promotes cancer growth and metastasis. Oncotarget. 2017;8:28683–28695. doi: 10.18632/oncotarget.15640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
- 25.Yang B, Du K, Yang C, Xiang L, Xu Y, Cao C, Zhang J, Liu W. CircPRMT5 circular RNA promotes proliferation of colorectal cancer through sponging miR-377 to induce E2F3 expression. J Cell Mol Med. 2020;24:3431–3437. doi: 10.1111/jcmm.15019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Agarwal V, Bell GW, Nam JW, Bartel DP. Predicting effective microRNA target sites in mammalian mRNAs. Elife. 2015;4(e05005) doi: 10.7554/eLife.05005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Li JH, Liu S, Zhou H, Qu LH, Yang JH. starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data. Nucleic Acids Res. 2014;42 (Database Issue):D92–D97. doi: 10.1093/nar/gkt1248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Miranda KC, Huynh T, Tay Y, Ang YS, Tam WL, Thomson AM, Lim B, Rigoutsos I. A pattern-based method for the identification of MicroRNA binding sites and their corresponding heteroduplexes. Cell. 2006;126:1203–1217. doi: 10.1016/j.cell.2006.07.031. [DOI] [PubMed] [Google Scholar]
- 29.Vejnar CE, Zdobnov EM. MiRmap: Comprehensive prediction of microRNA target repression strength. Nucleic Acids Res. 2012;40:11673–11683. doi: 10.1093/nar/gks901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z. GEPIA: A web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45 (W1):W98–W102. doi: 10.1093/nar/gkx247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Qiu Z, Tu L, Hu X, Zhou Z, Lin Y, Ye L, Cui C. A preliminary study of miR-144 inhibiting the stemness of colon cancer stem cells by targeting Krüppel-like factor 4. J Biomed Nanotechnol. 2020;16:1102–1109. doi: 10.1166/jbn.2020.2952. [DOI] [PubMed] [Google Scholar]
- 32.Marques D, Ferreira-Costa LR, Ferreira-Costa LL, Bezerra-Oliveira AB, Correa RDS, Ramos CCO, Vinasco-Sandoval T, Lopes KP, Vialle RA, Vidal AF, et al. Role of miRNAs in sigmoid colon cancer: A search for potential biomarkers. Cancers (Basel) 2020;12(3311) doi: 10.3390/cancers12113311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Vargas-Medrano J, Yang B, Garza NT, Segura-Ulate I, Perez RG. Up-regulation of protective neuronal MicroRNAs by FTY720 and novel FTY720-derivatives. Neurosci Lett. 2019;690:178–180. doi: 10.1016/j.neulet.2018.10.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Wu HZY, Thalamuthu A, Cheng L, Fowler C, Masters CL, Sachdev P, Mather KA. Differential blood miRNA expression in brain amyloid imaging-defined Alzheimer's disease and controls. Alzheimers Res Ther. 2020;12(59) doi: 10.1186/s13195-020-00627-0. the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Ling X, Wen M, Xiao Z, Luo Z, Zhuang J, Li Q, Du S, Zheng S, Zhu P. Lymphotoxin beta receptor is associated with regulation of microRNAs expression and nuclear factor-kappa B activation in lipopolysaccharides (LPS)-stimulated vascular smooth muscle cells. Ann Palliat Med. 2020;9:805–815. doi: 10.21037/apm.2020.03.20. [DOI] [PubMed] [Google Scholar]
- 36.Mononen N, Lyytikäinen LP, Seppälä I, Mishra PP, Juonala M, Waldenberger M, Klopp N, Illig T, Leiviskä J, Loo BM, et al. Whole blood microRNA levels associate with glycemic status and correlate with target mRNAs in pathways important to type 2 diabetes. Sci Rep. 2019;9(8887) doi: 10.1038/s41598-019-43793-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Chen P, Li Y, Li L, Yu Q, Chao K, Zhou G, Qiu Y, Feng R, Huang S, He Y, et al. Circulating microRNA146b-5p is superior to C-reactive protein as a novel biomarker for monitoring inflammatory bowel disease. Aliment Pharmacol Ther. 2019;49:733–743. doi: 10.1111/apt.15159. [DOI] [PubMed] [Google Scholar]
- 38.Wang H, Tan L, Dong X, Liu L, Jiang Q, Li H, Shi J, Yang X, Dai X, Qian Z, Dong J. MiR-146b-5p suppresses the malignancy of GSC/MSC fusion cells by targeting SMARCA5. Aging (Albany NY) 2020;12:13647–13667. doi: 10.18632/aging.103489. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Pan Y, Yun W, Shi B, Cui R, Liu C, Ding Z, Fan J, Jiang W, Tang J, Zheng T, et al. Downregulation of miR-146b-5p via iodine involvement repressed papillary thyroid carcinoma cell proliferation. J Mol Endocrinol. 2020;65:1–10. doi: 10.1530/JME-19-0198. [DOI] [PubMed] [Google Scholar]
- 40.Zhu J, Chen G. Protective effect of FOXP3-mediated miR-146b-5p/Robo1/NF-κB system on lipopolysaccharide-induced acute lung injury in mice. Ann Transl Med. 2020;8(1651) doi: 10.21037/atm-20-7703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Strycharz J, Wróblewski A, Zieleniak A, Świderska E, Matyjas T, Rucińska M, Pomorski L, Czarny P, Szemraj J, Drzewoski J, Śliwińska A. Visceral adipose tissue of prediabetic and diabetic females shares a set of similarly upregulated microRNAs functionally annotated to inflammation, oxidative stress and insulin signaling. Antioxidants (Basel) 2021;10(101) doi: 10.3390/antiox10010101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Jia M, Shi Y, Li Z, Lu X, Wang J. MicroRNA-146b-5p as an oncomiR promotes papillary thyroid carcinoma development by targeting CCDC6. Cancer Lett. 2019;443:145–156. doi: 10.1016/j.canlet.2018.11.026. [DOI] [PubMed] [Google Scholar]
- 43.Tong L, Tang C, Cai C, Guan X. Upregulation of the microRNA rno-miR-146b-5p may be involved in the development of intestinal injury through inhibition of Kruppel-like factor 4 in intestinal sepsis. Bioengineered. 2020;11:1334–1349. doi: 10.1080/21655979.2020.1851476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ranjha R, Aggarwal S, Bopanna S, Ahuja V, Paul J. Site-specific MicroRNA expression may lead to different subtypes in ulcerative colitis. PLoS One. 2015;10(e0142869) doi: 10.1371/journal.pone.0142869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Xu LG, Wang YY, Han KJ, Li LY, Zhai Z, Shu HB. VISA is an adapter protein required for virus-triggered IFN-beta signaling. Mol Cell. 2005;19:727–740. doi: 10.1016/j.molcel.2005.08.014. [DOI] [PubMed] [Google Scholar]
- 46.Lad SP, Yang G, Scott DA, Chao TH, Correia Jda S, de la Torre JC, Li E. Identification of MAVS splicing variants that interfere with RIGI/MAVS pathway signaling. Mol Immunol. 2008;45:2277–2287. doi: 10.1016/j.molimm.2007.11.018. [DOI] [PubMed] [Google Scholar]
- 47.Starczynowski DT, Lockwood WW, Deléhouzée S, Chari R, Wegrzyn J, Fuller M, Tsao MS, Lam S, Gazdar AF, Lam WL, Karsan A. TRAF6 is an amplified oncogene bridging the RAS and NF-κB pathways in human lung cancer. J Clin Invest. 2011;121:4095–4105. doi: 10.1172/JCI58818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Rong Y, Wang D, Wu W, Jin D, Kuang T, Ni X, Zhang L, Lou W. TRAF6 is over-expressed in pancreatic cancer and promotes the tumorigenicity of pancreatic cancer cells. Med Oncol. 2014;31(260) doi: 10.1007/s12032-014-0260-9. [DOI] [PubMed] [Google Scholar]
- 49.Sun H, Li XB, Meng Y, Fan L, Li M, Fang J. TRAF6 upregulates expression of HIF-1α and promotes tumor angiogenesis. Cancer Res. 2013;73:4950–4959. doi: 10.1158/0008-5472.CAN-13-0370. [DOI] [PubMed] [Google Scholar]
- 50.Zhang T, Wang H, Han L. Expression and clinical significance of tumor necrosis factor receptor-associated factor 6 in patients with colon cancer. Iran Red Crescent Med J. 2016;18(e23931) doi: 10.5812/ircmj.23931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Wei C, Lei L, Hui H, Tao Z. MicroRNA-124 regulates TRAF6 expression and functions as an independent prognostic factor in colorectal cancer. Oncol Lett. 2019;18:856–863. doi: 10.3892/ol.2019.10358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Wu H, Lu XX, Wang JR, Yang TY, Li XM, He XS, Li Y, Ye WL, Wu Y, Gan WJ, et al. TRAF6 inhibits colorectal cancer metastasis through regulating selective autophagic CTNNB1/β-catenin degradation and is targeted for GSK3B/GSK3β-mediated phosphorylation and degradation. Autophagy. 2019;15:1506–1522. doi: 10.1080/15548627.2019.1586250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Sheng ZX, Yao H, Cai ZY. The role of miR-146b-5p in TLR4 pathway of glomerular mesangial cells with lupus nephritis. Eur Rev Med Pharmacol Sci. 2018;22:1737–1743. doi: 10.26355/eurrev_201803_14589. [DOI] [PubMed] [Google Scholar]
- 54.Echavarria R, Mayaki D, Neel JC, Harel S, Sanchez V, Hussain SN. Angiopoietin-1 inhibits toll-like receptor 4 signalling in cultured endothelial cells: Role of miR-146b-5p. Cardiovasc Res. 2015;106:465–477. doi: 10.1093/cvr/cvv120. [DOI] [PubMed] [Google Scholar]
- 55.Yang G, Zhao Y. Overexpression of miR-146b-5p ameliorates neonatal hypoxic ischemic encephalopathy by inhibiting IRAK1/TRAF6/TAK1/NF-αB signaling. Yonsei Med J. 2020;61:660–669. doi: 10.3349/ymj.2020.61.8.660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Li Y, Zhang H, Dong Y, Fan Y, Li Y, Zhao C, Wang C, Liu J, Li X, Dong M, et al. MiR-146b-5p functions as a suppressor miRNA and prognosis predictor in non-small cell lung cancer. J Cancer. 2017;8:1704–1716. doi: 10.7150/jca.16961. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.