Abstract
Background
There is growing evidence that tripartite motif-containing protein 44 (TRIM44) plays crucial role in tumor development. However, the underlying mechanism of this deubiquitinating enzyme remains unclear.
Methods
Large clinical samples were used to detect TRIM44 expression and its associations with clinicopathological features and prognosis. Gain- and loss-of-function experiments in cell lines and mouse xenograft models were performed to elucidate the function and underlying mechanisms of TRIM44 induced tumor progression. Co-immunoprecipitation (Co-IP) assays and mass spectrometric analyses were applied to verify the interacting proteins of TRIM44.
Results
We found that TRIM44 was commonly amplified in melanoma tissues compared with paratumoral tissues. TRIM44 expression also positively correlated with more aggressive clinicopathological features, such as Breslow depth (p = 0.025), distant metastasis (p = 0.012), and TNM stage (p = 0.002). Importantly, we found that TRIM44 was an independent indicator of prognosis for melanoma patients. Functionally, overexpression of TRIM44 facilitated cell invasion, migration, apoptosis resistance and proliferation in vitro, and promoted lung metastasis and tumorigenic ability in vivo. Importantly, high level of TRIM44 induced melanoma cell epithelial-mesenchymal transition (EMT), which is one of the most important mechanisms for the promotion of tumor metastasis. Mechanistically, high levels of TRIM44 increased the levels of p-AKT (T308) and p-mTOR (S2448), and a specific AKT inhibitor inhibited TRIM44-induced tumor progression. Co-IP assays and mass spectrometric analyses indicated that TRIM44 overexpression induces cell EMT through activating AKT/mTOR pathway via directly binding and stabilizing TOLL-like receptor 4 (TLR4), and TLR4 interference impeded TRIM44 induced tumor progression. Moreover, we demonstrated that TRIM44 is the target of miR-26b-5p, which is significantly downregulated in melanoma tissues and may be responsible for the overexpression of TRIM44.
Conclusions
TRIM44, regulated by miR-26b-5p, promotes melanoma progression by stabilizing TLR4, which then activates the AKT/mTOR pathway. TRIM44 shows promise as a prognostic predictor and a therapeutic target for melanoma patients.
Electronic supplementary material
The online version of this article (10.1186/s13046-019-1138-7) contains supplementary material, which is available to authorized users.
Keywords: TRIM44, Melanoma, EMT, Prognosis, TLR4, AKT/mTOR pathway
Introduction
There is an increasing incidence of cutaneous melanoma, which now accounts for 232,100 (1.7%) of all newly diagnosed primary malignant tumors annually. However, melanomas are indistinguishable from benign nevus and, as a result, are easily overlooked [1]. Once melanoma has spread the cancer rapidly becomes life-threatening due to its characteristics of abnormal proliferation and early metastasis. The disease causes 55,500 deaths (0.7% of all cancer deaths) every year [2]. Understanding the disease progression may help researchers identify new targeted therapies and markers for improved prognostic accuracy.
TRIM family proteins are characterized by one or two zinc-binding motifs, B-boxes, and an associated coiled-coil region [3]. Most have E3 ubiquitin ligase activities as they contain a RING-finger domain. They are involved in a variety of cellular processes, such as protein degradation, cell cycle progression, transcriptional regulation, DNA repair, and signal transduction [4, 5]. There is growing evidence that the dysregulation of TRIM family proteins leads to a range of disease pathological conditions, including cancer [6]. For example, Lv et al. shows that TRIM24 is a transcriptional co-activator in EGFR-driven glioblastoma by which H3K23ac/TRIM24 mediates EGFR stimulation of STAT3 pathway [7]. Interestingly, studies indicate that, unlike most TRIM family members, TRIM44 contains a zinc finger ubiquitin protease domain (UBP) and functions as a deubiquitinating enzyme [8–10]. For example, Urano et al. demonstrates that TRIM44 functions as a “USP-like TRIM” and regulates the deubiquitination and stabilization of E3 ligase [8]. In addition, Chen et al. finds that TRIM44 stabilizes hypoxia inducible factor-1α and stimulates multiple myeloma cell growth under hypoxia [10]. Despite this evidence, only a handful of publications link TRIM44 function with cancers and the mechanisms underlying this association are even less clear.
MicroRNAs (miRNAs) belong to a family of small non-coding RNA molecules and are generally about 20 nucleotides long [11]. The primary role of miRNAs is to regulate protein translation by binding to complementary sequences in the 3′ untranslated region (UTR) of target messenger RNAs (mRNAs), which results in mRNA translational inhibition or degradation [12, 13]. Over past decades, functional studies have determined that miRNA dysregulation is the cause of many cases of cancer, a role in which miRNAs can act as either tumor suppressors or promoters. Molecules targeting miRNAs have shown promise in preclinical development [14, 15]. For example, miR-34a, a downstream tumor suppressor miRNA of p53, antagonizes the key hallmarks of oncogenes and plays imortant roles in self-renewal, migratory potential, and chemo-resistance. As a result, it has become one of the first miRNA-based cancer therapies [16, 17]. By directly targeting TRIM4, Wang et al. reports that overexpression of miR-410 suppresses osteosarcoma proliferation, migration, invasion, and EMT [18]. However, it remains unknown whether other miRNAs bind to the 3′ UTR of TRIM44.
In this study, we explored the expression and biological functions of TRIM44 using a comprehensive investigative approach that included clinical melanoma samples along with cellular and animal models. Furthermore, we elucidated the mechanisms behind TRIM44-induced melanoma cellular EMT, as well as upstream TRIM44 regulators.
Materials and methods
Patients and follow-up
Twenty pairs of melanoma tissue samples with matched normal tissues were obtained from randomly selected patients seen at Zhongshan Hospital, Fudan University (Shanghai, China). Samples were used for Western blot and quantitative reverse-transcription polymerase chain reaction (qRT-PCR) analyses. A total of 138 paired melanoma and matched normal tissues, along with an additional 59 melanoma tissues, were used for tissue microarray (TMA) as previously described [19]. The Ethics Committee of the Zhongshan Hospital Biomedical Research Department approved this study. All patients provided written informed consent.
Immunohistochemistry (IHC)
IHC was performed as previously described [20]. Briefly, the slides were deparaffinised in xylene and rehydrated in graded ethanol. After incubation in 0.3% H2O2, antigen retrieval was performed in citrate buffer. Subsequently, sections were incubated with the primary antibody (Additional file 1: Table S1), horseradish peroxidase (HRP)-labeled secondary antibody (Gene Tech, Shanghai, China), stained with diaminobenzidine (DAB, Gene Tech, Shanghai, China), counterstained with hematoxylin, then, dehydrated in ethanol, cleared in xylene, and cover-slipped with resin. The integrated optical density (IOD) value was assessed by Image Pro Plus software (V 6.0).
Cell culture and transfection
Melanoma cell lines A2058, A375, A875, MV3 and M14 were purchased from the cell bank of the Chinese Academy of Sciences (Shanghai, China). MV3 and M14 cells were cultured in Roswell Park Memorial Institute-1640 medium (RPMI-1640, HyClone, Logan, UT, USA); A2058, A375 and A875 were cultured in Dulbecco’s modified Eagle’s medium (DMEM, HyClone, Logan, UT, USA). All media were supplemented with 10% FBS (Gibco, Waltham, MA, USA), streptomycin sulfate (100 IU/mL) and penicillin (100 μg/mL). All cells were incubated in a humidified incubator at 37 °C with 5% CO2.
The pGMLV-SC5-Puromycin-EGFP-shRNA-TRIM44 lentiviral vectors (Genomeditech, Shanghai, China) were transfected into A2058 cells. The pGMLV-PE3-RFP-TRIM44 lentiviral vectors (Genomeditech, Shanghai, China) were transfected into A375 cells. The shRNA1 sequence used was GCCTTTGAAGAATTAAGAAGC and the shRNA3 sequence was GCAGAAGGCCCTTCATCTAGT. Transfection efficiency was determined by qRT-PCR and Western blot.
Western blot and qRT-PCR
Western blot was conducted as previously described [21]. Cell lysates were obtained using RIPA buffer (Beyotime, Shanghai, China). Total protein was injected into sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to polyvinylidene difluoride (PVDF) membranes. After blocking with 5% BSA, the membranes were incubated with primary antibody (Additional file 1: Table S1), HRP-conjugated secondary antibody (Yeasen, Shanghai, China) according to the manufacturer’s directions. Bands were visualized with a chemiluminescent HRP substrate (Millipore, MA, USA) and an electrogenerated chemiluminescence (ECL) imaging system (Tanon, Shanghai, China). Densitometric analysis was performed using Adobe Photoshop CS6 (CA, USA).
qRT-PCR was performed as previously described [22]. Briefly, total RNA was extracted by TRIzol reagent (Invitrogen, Carlsbad, CA, USA). Complementary DNA was synthesized using a high capacity cDNA reverse transcription kit (Takara, Dalian, China). qRT-PCR was conducted with the Applied Biosystems 7500 Real-Time PCR System using a SYBR Green Real-Time PCR Master Mix kit (Takara, Dalian, China). Primers for qRT-PCR are shown in Additional file 2: Table S2.
Invasion, wound healing, and CCK8 assays
For Transwell invasion assays, cells were incubated in Corning BioCoat Matrigel invasion chambers (24-well, 8-μm pore size, Corning, NY, USA). A total of 104 cells were seeded on Matrigel-coated inserts in 200 μL of serum-free DEME. 600 μL DMEM with 10% FBS was added to the bottom chambers. After 48 h, cells were fixed in 4% paraformaldehyde and stained by crystal violet for 15 min. The number of cells per three randomly selected fields was counted under the microscope (Olympus, Tokyo, Japan). For wound healing assays, artificial wounds were scratched on a confluent cell monolayer by 200 μL pipette tips until cells covered 95% of the 6-well plated bottom. Then wound healing images were taken at an appropriate time. For CCK-8 assay, cells were seeded in 96-well plates (1000 cells/well) in triplicate. At various time points, groups of cells were incubated with 10 μL Cell Counting Kit-8 (CCK-8, Yeasen, Shanghai, China) for 3 h at 37 °C. The absorbance values were measured at 490 nm.
In vivo assay
Five-week-old athymic BALB/c nude mice were purchased from the Shanghai Institute of Material Medicine and maintained in a pathogen-free environment. For the metastasis model, 2 × 106 cells were injected into the mouse tail veins (n = 6 per group). After 4 weeks, the mice were sacrificed and lungs were obtained for histological analysis. The number of metastatic tumors in the lungs was counted. For the growth model, 2 × 106 cells were injected into the backs of the mice (n = 6 per group) to generate subcutaneous tumors. Tumor size was measured every 5 days and the tumor volume was calculated as: length x width2 × 0.5. Thirty days after injection, the tumor specimens were surgically dissected and subjected to immonohistochemical staining. All experimental procedures were approved by the Animal Care Committee of Fudan University (Shanghai, China).
Immunofluorescence and flow cytometric assays
For immunofluorescence staining, cells were fixed with 4% formaldehyde, permeabilized with PBS containing 0.3% Triton X-100 (Beyotime, Shanghai, China), and blocked with 5% BSA. The cells were treated with the primary antibody (Additional file 1: Table S1) and fluorescent secondary antibody (Yeasen, Shanghai, China) as recommended. Then, cells were washed with PBS, stained with 4′, 6-diamidino-2-phenylindole (DAPI, Yeasen, Shanghai, China), and evaluated by fluorescence microscopy (Leica Microsystems Imaging Solutions, Cambridge, UK). For flow cytometric analysis, it was performed to detect the percentage of apoptosis cells. Briefly, 105 cells were collected and stained with Annexin V-APC/7-ADD kit (Yeasen, Shanghai, China). Flow cytometry (Becton Dickinson) was used for quantifying the positive stained cells and then FlowJo-V10 software was used for analyzed the data.
Coimmunoprecipitation (co-IP) and ubiquitination assay
After washing with phosphate buffer saline (PBS), cells were lysed in RIPA buffer and gentle rocked for 20 min at 4 °C. Lysates were centrifuged at 12,000 g for 15 min. The supernatant was collected and incubated with primary antibody pre-absorbed protein A and G sepharose beads at 4 °C for 6 h. Then, the sediments were washed with the RIPA buffer and boiled in 1x loading buffer for 10 min. Protein expression was detected by Western blot. For ubiquitination assays, A375-Vector and A375-TRIM44 cells were transfected with HA-Ubiquitin (HA-Ubi) and treated with MG132 (5 μmol, Selleck, China) for 8 h. Then, cells were used in Co-IP and Western blot assays for the detection of HA-Ubi expression.
Bioinformatics prediction and luciferase reporter assay
GEPIA (Gene Expression Profiling Interactive Analysis, http://gepia.cancer-pku.cn/) was used to detect TRIM44 mRNA levels in different tumors. The miRNA target site within the 3′-UTR region of TRIM44 mRNA was predicted using TargetScan (http://www.targetscan.org/) and miRWalk (http://zmf.umm.uni-heidelberg.de/apps/zmf/mirwalk2/). Luciferase reporter assays were performed as previously reported [23]. Briefly, 293 T cells were transiently co-transfected with the luciferase reporter vector containing TRIM44–3′-UTR-wide type (WT) or TRIM44–3′-UTR-mutant (MUT) and either miR-26b-5p mimics or empty vectors. After 60 h, cells were collected and analyzed for Firefly and Renilla luciferase activity using the Dual-Luciferase Reporter Assay System (KeyGEN BioTECH, China).
Statistical analysis
The results were analyzed using SPSS 20.0 software (Inc., Chicago, IL) and are presented as mean ± standard deviation (SD). All experiments were performed at least three times. Statistical p values were analyzed by the two-tailed Student’s t tests or one-way ANOVAs. Kaplan-Meier analyses and log-rank tests were used to analyze the overall survival and cumulative recurrence rate. A p < 0.05 was considered statistically significant.
Results
TRIM44 is overexpressed in melanoma and TRIM44 overexpression correlates with a poor prognosis
By retrieving the database, we found that TRIM44 is significantly upregulated in multiple cancers, including melanoma (Fig. 1a). Here, qRT-PCR and Western blot results indicated that TRIM44 expression was significantly upregulated in melanoma tissues relative to matched peritumorous tissues (Fig. 1b and c). Histochemical analyses found that TRIM44 was primarily expressed in the cytoplasm and there was significantly higher TRIM44 expression in melanoma samples compared with matched normal tissues (Fig. 1d and e). Patients with high levels of TRIM44 expression had lower overall survival (p = 0.0043) and higher recurrence rates (p = 0.0056) than those with low TRIM44 expression levels (Fig. 1f and g). Moreover, high levels of TRIM44 correlated with advanced Breslow depth (p = 0.025), distant metastasis (p = 0.012), and TNM stage (p = 0.002, Table 1). Importantly, univariate and multivariate analyses indicated that the TRIM44 level, Breslow depth, and TNM stage were independent indicators for melanoma patient prognoses (Table 2). These results demonstrate that TRIM44 is highly expressed in melanoma tissue, and that high expression is associated with a poor prognosis for these patients.
Table 1.
Variable | Number of Patients | P value* | |
---|---|---|---|
TRIM44low | TRIM44high | ||
Age, year | |||
< 60 | 36 | 42 | 0.351 |
≥ 60 | 63 | 56 | |
Gender | |||
Male | 49 | 56 | 0.282 |
Female | 50 | 52 | |
Anatomic site | |||
Acra | 48 | 53 | 0.395 |
Trunk | 22 | 26 | |
Other | 29 | 21 | |
Histologic type | |||
Superfical spreading | 27 | 19 | 0.287 |
Nodular | 23 | 18 | |
Acral | 29 | 40 | |
Lentigo maligna | 20 | 21 | |
Ulceration | |||
Present | 15 | 11 | 0.416 |
Absent | 84 | 87 | |
Breslow depth (mm) | |||
≤ 2 | 49 | 64 | 0.025 |
> 2 | 50 | 34 | |
Clark level | |||
I-III | 54 | 53 | 0.948 |
IV-V | 45 | 45 | |
Lymph nodes metastasis | |||
No | 69 | 73 | 0.453 |
Yes | 30 | 25 | |
Distant metastasis | |||
No | 82 | 66 | 0.012 |
Yes | 17 | 32 | |
Clinical stage | |||
I-II | 73 | 51 | 0.002 |
III-IV | 26 | 47 |
Note: A chi-square test was used for comparing groups between low and high TRIM44 expression. *, p < 0.05 was considered significant
Table 2.
Overall survival | Cumulative recurrence | |||||||
---|---|---|---|---|---|---|---|---|
Multivariate Analysis | Multivariate Analysis | |||||||
Variable | Univariate P | HR | 95%CI | P* | Univariate P | HR | 95%CI | P |
Age, year (≥60 vs. <60) | 0.230 | NA | 0.286 | NA | ||||
Gender (Men vs. Women) | 0.741 | NA | 0.798 | NA | ||||
Anatomic site (Acra vs. Trunk vs. Other) | 0.858 | NA | 0.887 | NA | ||||
Histologic type (Superfical spreading vs. Nodular vs. Acral vs. Lentigo maligna) | 0.089 | NA | 0.054 | NA | ||||
Ulceration (Present vs. Absent) | 0.284 | NA | 0.249 | NA | ||||
Breslow depth (mm) (≤2 vs. > 2) | 0.014 | 1.839 | 1.347–2.916 | 0.037 | 0.024 | 1.526 | 1.135–2.527 | 0.046 |
Clark level (I-III vs. IV-V) | 0.023 | NS | 0.031 | NS | ||||
Lymph nodes metastasis (Yes vs. No) | 0.015 | NS | 0.015 | NS | ||||
Distant metastasis (Yes vs. No) | 0.002 | NS | 0.003 | NS | ||||
Clinical stage (Yes vs. No) | 0.004 | 3.853 | 2.325–6.518 | 0.001 | < 0.001 | 4.104 | 2.395–6.718 | < 0.001 |
TRIM44 staining (Low vs. High) | 0.010 | 1.297 | 1.040–2.215 | 0.019 | 0.005 | 1.230 | 1.012–2.010 | 0.004 |
Note: OS overall survival, DFS disease free survival, NS not significant, NA not adopt
*, p < 0.05 was regarded as statistically significant, p value was calculated using Cox proportional hazards regression
Elevated TRIM44 levels promote melanoma progression in vivo and in vitro
First, TRIM44 expression was detected in five melanoma cell lines (Fig. 2a). We transfected TRIM44 shRNAs into A2058 cells for its high TRIM44 expression. TRIM44 cDNA vectors were transfected into A375 cells for its low TRIM44 expression. Transfection efficiencies were verified by Western blot and qRT-PCR (Fig. 2b). We found that downregulation of TRIM44 inhibited the invasion, migration, apoptosis resistance and proliferation of A2058 cells, while upregulation of TRIM44 significantly enhanced these functions in A375 cells (Fig. 2c-f). In the pulmonary metastasis model, the incidence of lung metastasis for the A375-TRIM44 group was higher than that of A375-Vector group (Fig. 2g). In the subcutaneous xenograft model, growth curves indicated that tumors in the A375-TRIM44 group had higher proliferative ability than tumors in the A375-Vector group (Fig. 2h and i). These results imply that upregulation of TRIM44 promotes melanoma progression both in vivo and in vitro.
TRIM44 regulates melanoma migration and invasion via EMT
Previous studies have shown that high levels of TRIM44 induce cellular EMT in hepatocellular carcinoma (HCC) and non-small cell lung carcinoma (NSCLC) [24, 25]. Here, we show that downregulation of TRIM44 was associated with high levels of E-cadherin expression and low levels of Vimentin and Slug. Conversely, TRIM44 upregulation inhibited E-cadherin expression and upregulated Vimentin and Slug expression (Fig. 3a). We found that both A2058-shRNAs and A375-Vector cells took on the cobblestone-like appearances typical of normal epithelial cells, while both A2058-shNC and A375-TRIM44 developed the spindle-like morphology of fibroblasts (Fig. 3b, upper). This cell morphology indicated that cells with high levels of TRIM44 develop an EMT-like phenotype, finding that was supported by immunofluorescence (Fig. 3b, lower) and immunohistochemistry analyses of subcutaneous xenograft melanoma tissues (Fig. 3c). Taken together, these results indicate that TRIM44 induces EMT, and thereby contributes to melanoma progression.
High levels of TRIM44 induce EMT by activating the AKT/mTOR pathway
Multiple pathways are involved in TRIM44-induced tumor progression, including AKT, ERK1/2, and NF-κB signaling [24–26]. We found that upregulation of TRIM44 activated the AKT and NF-κB pathways, while downregulation of TRIM44 inactivated the AKT and NF-κB pathways. There was no variation of p-ERK1/2 levels (Fig. 4a). Through pathway inhibitors, we found that TRIM44-induced invasion, migration, and EMT were reversed by LY-294002 (AKT inhibitor, 50 μM, 24 h), while not by SC75741 (NF-κB inhibitor, 5 μM, 24 h, Fig. 4b and c). Furthermore, we found that high levels of TRIM44 could upregulate levels of p-mTOR (S2448) (Fig. 4d). Taken together, these data indicate that upregulation of TRIM44 activates the AKT/mTOR pathway, which in turn promotes melanoma cell EMT.
TRIM44 activates AKT/mTOR pathway by protecting TLR4 from ubiquitin
Based on previous reports that TRIM44 functions as a deubiquitinase [9, 10], we investigated the TRIM44 functional substrate. A combination of co-IP and mass spectrometric analyses identified seven overlapping proteins in both A375-TRIM44 and A2058-TRIM44 cells (Fig. 5a). To determine whether these proteins are involved in TRIM44 induced AKT/mTOR activation, we individually assayed RNAi candidates for interference in expression of these proteins. The findings showed that TLR4 and ENO1 interfered with the AKT/mTOR pathway (Fig. 5b). We then determined that decreased expression of TLR4, but not ENO1, upregulated E-cadherin and downregulated both Vimentin and Slug (Fig. 5c). Co-IP and immunofluorescence assays verified the overlap between TRIM44 and TLR4 proteins (Fig. 5d-f). Furthermore, we found that overexpression of TRIM44 significantly upregulated the TLR4 protein, whereas overexpression of TLR4 did not influence the expression of TRIM44. This suggests that TLR4 is the substrate of TRIM44. In addition, TRIM44 influenced TLR4 expression at the protein level, but not the mRNA level (Fig. G). Ubiquitination assays showed that overexpression of TRIM44 decreased TLR4 protein polyubiquitination (Fig. 5h). Then, we transfected siTLR4 into A375-TRIM44 cells, which significantly attenuated the invasion, migration, and EMT properties induced by TRIM44 (Fig. 5i). Together, these results demonstrate that TRIM44 deubiquitinates and stabilizes TLR4 to activate the AKT/mTOR pathway.
MiR-26b-5p represses TRIM44 expression by directly targeting its 3′-UTR
To explore the upstream regulators of TRIM44, we performed TargetScan and miRWalk to detect miRNAs that potentially target TRIM44 (Fig. 6a). Among the identified overlapping miRNA, we focused on miR-26b-5p based on its known role in EMT inhibition. We found that miR-26b-5p was downregulated in the melanoma tissue samples compared with paired paratumoral tissue samples (Fig. 6b), and that there was a negatively relationship between the expression of TRIM44 mRNA and miR-26b-5p (p = − 0.047. r = − 0.543, Fig. 6c). Luciferase reporter assays showed that expression of miR-26b-5p significantly inhibited the activity of luciferase that carried wild type, but not the mutant 3′-UTR of TRIM44. This indicates that miR-26b-5p may suppress TRIM44 expression through its 3′-UTR binding sequence (Fig. 6d and e). Moreover, we found that overexpression of miR-26b-5p in A2058 and A375 cells significantly inhibited the expression of TRIM44 at both the mRNA and protein levels (Fig. 6 f). These results strongly support the hypothesis that TRIM44 is a direct target of miR-26b-5p.
Overexpression of TRIM44 and TLR4 predicts poorer prognosis in melanoma patients
To further explore the relationship between TRIM44 and TLR4, we quantified TRIM44 and TLR4 expression in 20 melanoma tissue samples. We identified a positive relationship between TRIM44 and TLR4 at the protein level (r = 0.55, p = 0.012, Fig. 7a, b), but not the mRNA level (Fig. 7c, d). Immunohistochemical analyses further supported findings of a positive correlation between TRIM44 and TLR4 (r = 0.612, p < 0.001, Fig. 7e, f). In addition, we found that patients with high levels of trim44 and TLR4 had reduced overall survival and higher recurrence rates than other patients (Fig. 7g). This suggests that overexpression of TRIM44 and TLR4 are indicators of a poor prognosis in melanoma patients.
Discussion
The present study demonstrates that TRIM44 is significantly amplified in melanoma tissues, and overexpression of TRIM44 is associated with a malignant phenotype of melanoma. Our findings indicate that, in terms of mechanism, TRIM44 deubiquitinates and stabilizes TLR4, which activates the AKT/mTOR pathway and induces cell EMT. Moreover, TRIM44 is a downstream target gene of miR-26b-5p, which acts as a TRIM44 suppressor (Fig. 6g). Clinically, we find that high levels of TRIM44 combined with upregulation of TLR4 serves as a promising prognostic indicator in melanoma patients.
Several studies report that TRIM44 plays a crucial role in the progression of human cancers. For example, Kawabata et al. demonstrated that high levels of TRIM44 promote cell proliferation and migration by enhancing NF-κB signaling in breast cancer [26]. Peng et al. found that elevated TRIM44 facilitates cellular EMT via MAPK pathway in intrahepatic cholangiocarcinoma (ICC) [24]. Our present study is the first to show that TRIM44 is significantly upregulated in melanoma tissues using a large number of clinical samples, a result that is consistent with that of the public database. Moreover, we found that elevated TRIM44 promoted cell proliferation, invasion, migration and apoptosis resistance in vitro, and promoted melanoma growth and metastasis in vivo. Importantly, high levels of TRIM44 induced melanoma cell EMT, which is one of the most important mechanisms for the promotion of tumor metastasis. Retrospective review of the literature indicates that TRIM44 triggers multiple classical pathways, including AKT/mTOR pathway. For example, Xiong et al. showed that elevated TRIM44 expression promotes human esophageal cancer development via the AKT/mTOR pathway [25]. Xing et al. reports that TRIM44 contributed to EMT and cell cycle progression by modulating the AKT/mTOR pathway, thereby stimulating lung cancer cell metastasis and proliferation [27]. In line with these studies, we found that upregulation of TRIM44 activates AKT/mTOR signaling. Furthermore, EMT induced by TRIM44 can be reversed by a AKT inhibitor. Unlike other members of the TRIM protein family, TRIM44 contains a zinc finger UBP in the N-terminal, instead of a RING domain, and therefore likely acts as a deubiquitinating enzyme [9, 10]. Our study supports this, as we found that upregulation of TRIM44 inhibited polyubiquitination of the substrate protein and maintained its stability. To identify the TRIM44 substrate, we performed mass spectrometry and found seven overlapping proteins. Among them, only knock-down of TLR4 expression decreased p-AKT, p-mTOR levels, and inhibited cell EMT. We therefore conclude that high levels of TRIM44 activate AKT/mTOR signaling by combining with TLR4 and stabilizing its expression. Subsequent Co-IP and immunofluorescence assays confirmed that there is a direct interaction between TRIM44 and TLR4 proteins. In combination with the ubiquitin assay findings, this provides strong evidence that TRIM44 deubiquitinates TLR4 to activate AKT/mTOR signaling. Of course, this post-translational modification may not limit to melanoma, as the TRIM44-AKT-mTOR axis is common in multiple tumors. We also showed that miR-26b-5p regulates TRIM44 expression. Corresponding with this, miR-26b-5p is reported to be downregulation in melanoma [28] and has been found to suppress cellular EMT, invasion, and metastasis in hepatocellular carcinoma [29]. Hence, downregulation of miR-26b-5p is one mechanism for the upregulation of TRIM44.
Conclusions
Our findings describe a miR-26b-5p-TRIM44-TLR4-AKT-mTOR axis in melanoma cells, and provides new insights into the mechanisms underlying melanoma progression. Importantly, TRIM44 may be a useful prognostic indicator for melanoma and provides a potential new target for melanoma therapy.
Additional files
Acknowledgements
Not applicable.
Funding
This study was funded by the National Natural Science Foundation of China (81671915).
Availability of data and materials
The data used for the GSEA analysis were obtained from the TCGA database (https://cancergenome.nih.gov/).
Abbreviations
- CCK-8
Cell Counting Kit-8
- ECL
Electrogenerated chemiluminescence
- EMT
Epithelial-mesenchymal transition
- GSEA
Gene set enrichment analysis
- H&E
Hematoxylin and eosin
- HA
Hemagglutinin
- HCC
Hepatocellular carcinoma
- IHC
Immunohistochemistry
- IP
Immunoprecipitation
- miRNAs
MicroRNAs
- mRNAs
Messenger RNAs
- MS
Mass spectrometry
- NSCLC
Non-small cell lung carcinoma
- PBS
Phosphate buffer saline
- PVDF
Polyvinylidene difluoride
- qRT-PCR
Quantitative real-time polymerase chain reaction
- SD
Standard deviation
- SDS-PAGE
Sodium dodecyl sulfate-polyacrylamide gel electrophoresis
- TLR4
TOLL-like receptor 4
- TMA
Tissue microarray
- TRIM44
Tripartite motif-containing protein 44
- UBP
Ubiquitin protease domain
- UTR
Untranslated region
- WT
Wide type
Authors’ contributions
GJY and QFZ conceived of the study and carried out its design. WCY, ZMX, WL,DXY, WDH, ZSM and YJH performed the experiments. YX, WQ, XTF and HAQ conducted the statistical analyses. WCY, ZMX and WL wrote the paper, GJY and QFZ revised the paper. All authors read and approved the final manuscript.
Ethics approval and consent to participate
This study was approved by the Ethics Committee of the Zhongshan Hospital Biomedical Research Department and written consent was obtained from all participants.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Chuan-Yuan Wei, Email: Dr_chuanyuanwei@163.com.
Lu Wang, Email: 17211210046@fudan.edu.cn.
Meng-Xuan Zhu, Email: 16211210054@fudan.edu.cn.
Xin-Yi Deng, Email: m18819431194@163.com.
Dao-He Wang, Email: wind9921@hotmail.com.
Si-Min Zhang, Email: laurazhangv@163.com.
Jiang-Hui Ying, Email: yingjianghui@126.com.
Xin Yuan, Email: 11307120319@fudan.edu.cn.
Qiang Wang, Email: qiang_wang0102@163.com.
Tian-Fan Xuan, Email: xtf212@hotmail.com.
An-Qi He, Email: 09301010188@fudan.edu.cn.
Fa-Zhi Qi, Email: qi.fazhi@zs-hospital.sh.cn.
Jian-Ying Gu, Email: zhongshanhospital@163.com.
References
- 1.Schadendorf D, van Akkooi A, Berking C, Griewank KG, Gutzmer R, Hauschild A, et al. Melanoma. Lancet. 2018;392:971–984. doi: 10.1016/S0140-6736(18)31559-9. [DOI] [PubMed] [Google Scholar]
- 2.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]
- 3.Hatakeyama S. TRIM proteins and cancer. Nat Rev Cancer. 2011;11:792–804. doi: 10.1038/nrc3139. [DOI] [PubMed] [Google Scholar]
- 4.Di Fiore PP, Polo S, Hofmann K. When ubiquitin meets ubiquitin receptors: a signalling connection. Nat Rev Mol Cell Biol. 2003;4:491–497. doi: 10.1038/nrm1124. [DOI] [PubMed] [Google Scholar]
- 5.Hershko A, Ciechanover A. The ubiquitin system. Annu Rev Biochem. 1998;67:425–479. doi: 10.1146/annurev.biochem.67.1.425. [DOI] [PubMed] [Google Scholar]
- 6.Hatakeyama S. TRIM family proteins: roles in autophagy, immunity, and carcinogenesis. Trends Biochem Sci. 2017;42:297–311. doi: 10.1016/j.tibs.2017.01.002. [DOI] [PubMed] [Google Scholar]
- 7.Lv D, Li Y, Zhang W, Alvarez AA, Song L, Tang J, et al. TRIM24 is an oncogenic transcriptional co-activator of STAT3 in glioblastoma. Nat Commun. 2017;8:1454. doi: 10.1038/s41467-017-01731-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Urano T, Usui T, Takeda S, Ikeda K, Okada A, Ishida Y, et al. TRIM44 interacts with and stabilizes terf, a TRIM ubiquitin E3 ligase. Biochem Biophys Res Commun. 2009;383:263–268. doi: 10.1016/j.bbrc.2009.04.010. [DOI] [PubMed] [Google Scholar]
- 9.Yang B, Wang J, Wang Y, Zhou H, Wu X, Tian Z, et al. Novel function of Trim44 promotes an antiviral response by stabilizing VISA. J Immunol. 2013;190:3613–3619. doi: 10.4049/jimmunol.1202507. [DOI] [PubMed] [Google Scholar]
- 10.Chen Z, Lin TC, Bi X, Lu G, Dawson BC, Miranda R, et al. TRIM44 promotes quiescent multiple myeloma cell occupancy and survival in the osteoblastic niche via HIF-1alpha stabilization. Leukemia. 2018;33:469–86. [DOI] [PMC free article] [PubMed]
- 11.Song S, Ajani JA. The role of microRNAs in cancers of the upper gastrointestinal tract. Nat Rev Gastroenterol Hepatol. 2013;10:109–118. doi: 10.1038/nrgastro.2012.210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–297. doi: 10.1016/S0092-8674(04)00045-5. [DOI] [PubMed] [Google Scholar]
- 13.Krol J, Loedige I, Filipowicz W. The widespread regulation of microRNA biogenesis, function and decay. Nat Rev Genet. 2010;11:597–610. doi: 10.1038/nrg2843. [DOI] [PubMed] [Google Scholar]
- 14.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]
- 15.Rupaimoole R, Slack FJ. MicroRNA therapeutics: towards a new era for the management of cancer and other diseases. Nat Rev Drug Discov. 2017;16:203–222. doi: 10.1038/nrd.2016.246. [DOI] [PubMed] [Google Scholar]
- 16.Okada N, Lin CP, Ribeiro MC, Biton A, Lai G, He X, et al. A positive feedback between p53 and miR-34 miRNAs mediates tumor suppression. Genes Dev. 2014;28:438–450. doi: 10.1101/gad.233585.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Liu C, Kelnar K, Liu B, Chen X, Calhoun-Davis T, Li H, et al. The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44. Nat Med. 2011;17:211–215. doi: 10.1038/nm.2284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wang H, Fang ZL, Zhang GH, Ma X. TRIM44, a crucial target of miR-410, functions as a potential oncogene in osteosarcoma. Onco Targets Ther. 2018;11:3637–3647. doi: 10.2147/OTT.S163163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wei CY, Zhu MX, Lu NH, Peng R, Yang X, Zhang PF, et al. Bioinformatics-based analysis reveals elevated MFSD12 as a key promoter of cell proliferation and a potential therapeutic target in melanoma. Oncogene. 2018;38:1876–91. [DOI] [PMC free article] [PubMed]
- 20.Wei C, Lu N, Wang L, Zhang Y, Feng Z, Yang Y, et al. Upregulation of UHRF1 promotes the progression of melanoma by inducing cell proliferation. Oncol Rep. 2018;39:2553–2562. doi: 10.3892/or.2018.6356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Cai JB, Shi GM, Dong ZR, Ke AW, Ma HH, Gao Q, et al. Ubiquitin-specific protease 7 accelerates p14(ARF) degradation by deubiquitinating thyroid hormone receptor-interacting protein 12 and promotes hepatocellular carcinoma progression. Hepatology. 2015;61:1603–1614. doi: 10.1002/hep.27682. [DOI] [PubMed] [Google Scholar]
- 22.Ke AW, Shi GM, Zhou J, Huang XY, Shi YH, Ding ZB, et al. CD151 amplifies signaling by integrin alpha6beta1 to PI3K and induces the epithelial-mesenchymal transition in HCC cells. Gastroenterology. 2011;140:1629–41.e15. doi: 10.1053/j.gastro.2011.02.008. [DOI] [PubMed] [Google Scholar]
- 23.Luo C, Yin D, Zhan H, Borjigin U, Li C, Zhou Z, et al. microRNA-501-3p suppresses metastasis and progression of hepatocellular carcinoma through targeting LIN7A. Cell Death Dis. 2018;9:535. doi: 10.1038/s41419-018-0577-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Peng R, Zhang PF, Zhang C, Huang XY, Ding YB, Deng B, et al. Elevated TRIM44 promotes intrahepatic cholangiocarcinoma progression by inducing cell EMT via MAPK signaling. Cancer Med. 2018;7:796–808. doi: 10.1002/cam4.1313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Xiong D, Jin C, Ye X, Qiu B, Jianjun X, Zhu S, et al. TRIM44 promotes human esophageal cancer progression via the AKT/mTOR pathway. Cancer Sci. 2018;109:3080–3092. doi: 10.1111/cas.13762. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kawabata H, Azuma K, Ikeda K, Sugitani I, Kinowaki K, Fujii T, et al. TRIM44 is a poor prognostic factor for breast Cancer patients as a modulator of NF-kappaB signaling. Int J Mol Sci. 2017;18:1931. doi: 10.3390/ijms18091931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Xing Y, Meng Q, Chen X, Zhao Y, Liu W, Hu J, et al. TRIM44 promotes proliferation and metastasis in nonsmall cell lung cancer via mTOR signaling pathway. Oncotarget. 2016;7:30479–30491. doi: 10.18632/oncotarget.8586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Kozubek J, Ma Z, Fleming E, Duggan T, Wu R, Shin DG, et al. In-depth characterization of microRNA transcriptome in melanoma. PLoS One. 2013;8:e72699. doi: 10.1371/journal.pone.0072699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Wang Y, Sun B, Zhao X, Zhao N, Sun R, Zhu D, et al. Twist1-related miR-26b-5p suppresses epithelial-mesenchymal transition, migration and invasion by targeting SMAD1 in hepatocellular carcinoma. Oncotarget. 2016;7:24383–24401. doi: 10.18632/oncotarget.8328. [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 data used for the GSEA analysis were obtained from the TCGA database (https://cancergenome.nih.gov/).