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Article

Tumor Suppressor Role of hsa-miR-193a-3p and -5p in Cutaneous Melanoma

1
Department of Pharmacy, University of Pisa, 56126 Pisa, Italy
2
Molecular Medicine for Neurodegenerative and Neuromuscular Diseases Unit, IRCCS Stella Maris Foundation, 56128 Pisa, Italy
3
Laboratory of ImmunoViroTherapy (IVTLab), Drug Research Program (DRP), Translation Immunology Program (TRIMM), iCAN Precision Cancer Medicine, University of Helsinki, 00014 Helsinki, Finland
4
Medical Oncology Unit, Azienda Ospedaliero-Universitaria Pisana, 56126 Pisa, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2020, 21(17), 6183; https://doi.org/10.3390/ijms21176183
Submission received: 21 July 2020 / Revised: 24 August 2020 / Accepted: 24 August 2020 / Published: 27 August 2020

Abstract

:
Background: Remarkable deregulation of several microRNAs (miRNAs) is demonstrated in cutaneous melanoma. hsa-miR-193a-3p is reported to be under-expressed in tissues and in plasma of melanoma patients, but the role of both miR-193a arms in melanoma is not known yet. Methods: After observing the reduced levels of miR-193a arms in plasma exosomes of melanoma patients, the effects of hsa-miR-193a-3p and –5p transfection in cutaneous melanoma cell lines are investigated. Results: In melanoma cell lines A375, 501Mel, and MeWo, the ectopic over-expression of miR-193a arms significantly reduced cell viability as well as the expression of genes involved in proliferation (ERBB2, KRAS, PIK3R3, and MTOR) and apoptosis (MCL1 and NUSAP1). These functional features were accompanied by a significant downregulation of Akt and Erk pathways and a strong increase in the apoptotic process. Since in silico databases revealed TROY, an orphan member of the tumor necrosis receptor family, as a potential direct target of miR-193a-5p, this possibility was investigated using the luciferase assay and excluded by our results. Conclusions: Our results underline a relevant role of miR-193a, both -3p and -5p, as tumor suppressors clarifying the intracellular mechanisms involved and suggesting that their ectopic over-expression could represent a novel treatment for cutaneous melanoma patients.

1. Introduction

Cutaneous melanoma, a malignant tumor arising from melanocytes, is the most aggressive and fatal form of skin cancer with increasing incidence worldwide over the past several decades [1]. Targeted therapy and immunotherapy have considerably improved the outcome of advanced melanoma patients, but resistance and toxicity, as well as incomplete therapeutic response, often arise [2,3,4]. Therefore, melanoma research still needs both to develop other treatments and associations, which can prolong survival, and to identify biomarkers to early and accurately identify non-responding patients or patients who are resistant to such treatments.
To overcome these unmet clinical needs, molecular mechanisms involved in melanoma development and progression need to be deeply investigated.
MicroRNAs (miRNAs or miRs) are short non-coding RNAs acting as master regulators of cellular processes through the simultaneous modulation of the expression levels of hundreds of mRNAs. Therefore, miRNAs are pleiotropic modulators of a wide array of biological processes, including proliferation, differentiation, apoptosis, and development, influencing cell destiny [5,6,7,8,9]. The ability of miRNAs to simultaneously silence multiple targets makes their transcriptional modulation of great interest as a novel pharmacological strategy in cancer treatment [9,10], where a single pathway of resistance leads to therapy failure [11].
Deregulation of miRNAs in cancer and cutaneous melanoma is reported in both tissues and biofluids, where several miRNAs emerged as oncogenes or tumor suppressors with key functions in carcinogenesis and cancer progression [12]. In particular, Homo sapiens (hsa)-miR-193a caught our attention because its role in cutaneous melanoma has only partially been explored [13,14]. MiR-193a is a member of the miR-193 family including miR-193a, miR-193b, and miR-193c. MiR-193a coding gene, named MIR193A, is located on human chromosome 17q11.2 in an active transcriptional region. During miRNA biogenesis, two mature miRNAs (arms) are generated from pre-miR-193a: miR-193a-3p (sequence: AACUGGCCUACAAAGUCCCAGU, accession number: MIMAT0000459) and miR-193a-5p (sequence: UGGGUCUUUGCGGGCGAGAUGA, accession number: MIMAT0004614). Both miR-193a arms are expressed in all normal tissues in physiological conditions [15,16] and they are reported to be deregulated in different types of human cancers, in which they can act as tumor suppressors or oncogenes. In detail, in several tumor tissues, miR-193a-3p appeared downregulated and showed tumor-suppressive properties [17,18,19,20,21,22,23,24]. Conversely, Yi and colleagues reported a significant upregulation of miR-193a-3p in esophageal squamous cell carcinoma tissues, where it acts as an oncogene [25]. Regarding melanoma, the down-expression of miR-193a-3p in melanoma tissues is already reported [13,26,27]. The miR-193a-5p expression in melanoma cells and tissues has been studied [26,27] and reports show it as downregulated in various cancer types [21,28,29,30,31,32] but also upregulated in prostate cancer tissues [33]. As far as circulating levels is concerned, circulating miR-193a-3p has been found deregulated in several types of tumors [34,35,36], while circulating miR-193a-5p has been only reported upregulated in plasma of hepatocellular carcinoma [37]. In melanoma, circulating miR-193a-3p was at lower levels in the plasma of patients at all stages of disease compared to healthy donors [14], whereas the circulating expression levels of miR-193a-5p in biofluids of melanoma patients have not been investigated yet.
Concerning their activity in cancer cells, miR-193a -3p and -5p were observed to silence several targets such as Kirsten rat sarcoma viral oncogene homolog (KRAS) [38,39], Erb-B2 receptor tyrosine kinase 2 (ERBB2) [40], phosphoinositide-3-kinase regulatory subunit 3 (PIK3R3) [21], mechanistic target of rapamycin kinase (mTOR) [21], myeloid leukemia cell differentiation (MCL1) [17], and nucleolar and spindle associated protein 1 (NUSAP1) [38]. All these targets are considered to be associated with carcinogenesis or cancer progression [41,42,43,44].
In a pilot study, we verified the occurrence of reduced levels of both miR-193a arms expression in exosomes plasma-derived from advanced melanoma patients and healthy subjects. The present study evaluated the tumor suppressor activity of miR-193a-3p and -5p in cultured melanoma cells from primary tumor and metastasis.

2. Results

2.1. Down-Expression of Exosome-Derived miR-193a Arms in Plasma of Melanoma Patients

Patient characteristics of 11 stage IV melanoma patients, enrolled from January 2015 to February 2016, are reported in Table 1. The median ages of the melanoma patients and healthy volunteers were 60 and 55 years, respectively.
Both miR-193a-3p and -5p showed a significant down-expression (p < 0.05 and p < 0.01, respectively) in melanoma patients compared to healthy controls (Figure 1).

2.2. Ectopic Over-Expression of miR-193a Arms Inhibits Cell Viability

The ectopic over-expression of miR-193a-3p and miR-193a-5p at 10 nM in the three melanoma cell lines: A375 (ATCC® Manassas, VA, USA CRL-1619, from primary cutaneous melanoma), MeWo (ATCC® HTB-65, from lymph nodal cutaneous melanoma metastasis) and 501Mel (from not better specified metastatic cutaneous melanoma) caused a significant time-dependent inhibition of cell viability, compared to the correspondent scrambled miRNA transfected cells.
Decrease in cell viability was significant after 72 h and was maintained until 120 h post-transfection in all three cell lines (Figure 2).

2.3. Bioinformatic miRNA Pathway Analysis and Assessment of Target Gene Downregulation

To analyze the possible biological meaning of the ectopic over-expression of miR-193a arms, all predicted target genes of miR-193a arms obtained from the TargetScan database (Tables S1 and S2 in Supplementary Materials) were imported into DAVID to determine GO biological processes (BP).
GO analysis revealed the involvement of miR-193a arms in cancer by negatively affecting several biological processes including “mitogen-activated protein kinase (MAPK) cascade” (12 genes, p < 0.05), “activation of MAPK activity (7 genes, p < 0.05), “positive regulation of cell migration” (10 genes, p < 0.05), “positive regulation of cell cycle” (5 genes, p < 0.01), and “positive regulation of cell proliferation” (23 genes, p < 0.01) (Figure 3A).
To determine whether the tumor suppressor activity suggested by GO and seen with ectopic over-expression of miR-193a arms was associated with the downregulation of some of the targets previously identified, we analyzed the expression of selected mRNA transcripts in the three melanoma cell lines.
All the chosen targets of miR-193a-3p and -5p are not only predicted by bioinformatics tools but were also validated and expressed in melanoma cells (as reported in The Human Protein Atlas). Indeed, Fan and colleagues validated KRAS as a target of miR-193a-3p [45]; Yu and colleagues validated PIK3R3 and mTOR as targets of miR-193a-5p [21]. ERBB2 is a validated target of both arms [40,46,47]; NUSAP-1 of miR-193a-5p [48] and MCL-1 of miR-193a-3p [49,50].
Over-expression of miR-193a-3p downregulated the transcriptional expression levels of KRAS, EBBB2, and MCL1. Over-expression of miR-193a-5p downregulated the transcriptional expression levels of ERBB2, PIK3R3, MTOR, and NUSAP1 (Figure 3B–D).

2.4. Ectopic Over-Expression of miR-193a Arms Inhibits Erk and Akt Signaling

Extracellular signal-regulated kinases (Erk) and Akt signaling are often aberrantly activated in melanoma cells, inducing cell proliferation and survival. Therefore, we analyzed the ability of miR-193a arms to modulate the protein expression level of B-Raf and the phosphorylation levels of Erk 1/2 and Akt 1/2/3.
Both miR-193a-3p and miR-193a-5p over-expression induced a significant decrease in B-Raf levels and a decrease in phosphorylation of Akt 1/2/3 and Erk 1/2 proteins in all melanoma cell lines (Figure 4).
Noteworthily, miR-193a -3p and -5p decreased the phosphorylation of Erk 1/2 without altering the total protein levels. The observed decrease of B-Raf protein is in line with the reduced activation of Erk since B-Raf is an upstream regulator of Erk activity.

2.5. Ectopic Over-Expression of miR-193a Arms Induces Apoptosis

The ability of miR-193a arms to induce apoptosis in human melanoma cells was investigated by evaluating the cleavage of poly (ADP-ribose) polymerase (PARP) and the internucleosomal DNA fragmentation, phenomena that occur during early [51] and late stages of programmed cell death, respectively.
The results showed that both miR-193a arms produced two bands derived from PARP cleavage (116 and 89 kDa, respectively) in the melanoma cell lysates (Figure 5A).
The pro-apoptotic effect of miR-193a was confirmed also by the internucleosomal DNA fragmentation analysis. Indeed, a significant accumulation of DNA-histone fragments (almost threefold increase) in the cytoplasmic fraction of all three cell lines compared to the respective controls was observed after miR-193a arm ectopic over-expression (Figure 5B).

2.6. miR-193a-5p Does Not Repress TROY Expression

To explore the molecular mechanisms involved in miR-193a-5p anti-melanoma activity, its capability to repress TROY mRNA was evaluated because TROY is a predicted (by TargetScan 7.2, Table S2) and not yet validated direct target of miR-193a-5p.
TROY, called also TAJ or TNFRSF19 [52,53], is a gene encoding an orphan member of the tumor necrosis factor (TNF) receptor superfamily that is implicated in several cancers [54,55,56], including melanoma [57] and can promote Akt pathway [56,58].
We observed that ectopic over-expression of miR-193a-5p induced a significant decrease expression of TROY in the three cell lines (Figure 6A). To further investigate the effects miR-193a-5p, we co-transfected miR-193a-5p mimic and luciferase reporter plasmid containing wt-Luc-TROY (Figure S1). As shown in Figure 6B, the luciferase activity was not significantly repressed by miR-193a-5p over-expression, suggesting that miR-193a-5p does not directly target TROY (Figure 6B).

3. Discussion

MiR-193a arms play a disease-dependent role of tumor suppressors or oncogenes, respectively associated with their under-expression in several tumor types and over-expression in others [15,16]. This trend may seem controversial, but it can be explained by the correlation between the expression of miRNAs and their target genes in different types of cells. Indeed, the biological effect of miRNA depends on the expression of each single gene target, which may present different expressions in different types of cancer cells [6,7].
For the first time, we showed that miR-193a-3p and miR-193a-5p act as tumor suppressors in melanoma cells, and both are significantly down-expressed in plasma-exosomes of melanoma patients compared to healthy controls.
Interestingly, the arm -3p was more expressed than the -5p in both healthy subjects and melanoma patients indicating the absence of a miRNA-arm switching, i.e., the imbalance between the two miR-193a arm expression. Evidence reported that the expression of the arm of some miRNAs can change during cancer progression, accordingly with a different role played by single arm [26,59,60,61,62]. Therefore, our data showing a consistent balance of miR-193a arm expression in healthy subjects and melanoma patients are consistent with the same role of tumor suppressor here reported of miR-193a-3p and miR-193a-5p in melanoma cells.
The expression trend in exosomes from melanoma patients gave us great support in the hypothesis of a tumor suppressor role of these miRNAs in melanoma. This role was investigated on cultured melanoma cells. Independently from their primary or metastatic origin, melanoma cells decreased their viability when transfected with miRNA-193a, -3p or -5p. Bioinformatics tools and the analysis of cell expression of validated mRNA-targets for miR-193a arms revealed that the two miR-193a arms may induce a similar effect on cell viability modulating common pathways, although not targeting exactly the same genes (Figure 7).
In detail, a strong down-modulation of several cancer hallmarks strictly involved in melanoma development and progression was observed following ectopic over-expression of miR-193a, including pro-proliferative molecules and anti-apoptotic factors, previously validated as direct targets of miR-193a [41,42,63,64,65,66]. In particular, they strongly downregulated ERBB2, an epidermal growth factor receptor (EGFR), targeted by both miR-193a arms [40,46,47]. This molecule is frequently over-expressed in various cancers where it promotes an uncontrolled cellular proliferation by the activation of several effectors [67]. Among these downstream effectors, there are other molecules targeted by miR-193a-3p or miR-193a-5p: KRAS, a target of miR-193a-3p [45], and PIK3R3 and mTOR, targets of miR-193a-5p [21], which are all proteins stimulating proliferation, cell cycle progression, and cell survival in cancer cells [68,69]. Furthermore, the ectopic over-expression of each miR-193a arm induced a significant decrease of anti-apoptotic factors. In detail, the expression of MCL-1, a member of the Bcl2 family which promotes cell survival [70], was affected by miR-193a-3p [49,50], while miR-193a-5p decreased the expression of NUSAP-1 [48], a microtubule-associated protein controlling cell proliferation by governing spindle assembly, chromosome segregation, and cytokinesis, whose decrease leads to apoptosis [71].
Our results support the hypothesis that both miR-193a arms similarly modulate the same cellular processes, i.e., cell proliferation and survival, through the regulation of the expression of differential, but sometimes overlapped, specific mRNA targets.
Moreover, according to these observations, we found that both miR-193a arms significantly decreased the activation of two cell pathways often aberrantly activated in melanoma promoting cell proliferation and survival and inhibiting the apoptotic process: Erk and Akt signaling [72].
It is noteworthy that the ectopic over-expression of miR-193a induced a significant decrease in the phosphorylation of these proteins without affecting their total expressions. The lower activation of these pathways may be related to the ability of the miR-193a arms to directly modulate the expression of corresponding up-stream molecules, such as ERBB2 [73], KRAS [74], and PIK3R3 [75].
The ability of miR-193a-5p to directly target ERBB2 also provides a possible explanation for the observed decreased expression levels of TROY following ectopic over-expression of this arms. Indeed, a strict interaction between ErbB2 and TROY was described in glioblastoma cells [58], where Ding and colleagues reported a positive correlation of the expression levels of TROY and EGFRs, which promote each other’s activity: TROY facilitates EGFR activation and delays EGFR internalization, while EGFRs increase TROY-induced NF-κB activation.
Altogether, our findings strongly support the tumor suppressor role of miR-193a arms and suggest their potential as therapeutic agents in melanoma through the modulation of several key pathways involved in melanoma progression. Very recently, Ylösmäki and collaborators highlighted the ability of miR-193a-3p to significantly downregulate the expression of programmed death-ligand 1 (PD-L1) in B16.OVA murine melanoma model [76], suggesting its ability to reduce melanoma immune escape. Their actions on cancer cells both by favoring apoptotic processes and reducing the expression of PD-L1 make these miRNAs particularly promising as therapeutic agents in cutaneous melanoma.
Moreover, this reported pleiotropic action of miR-193a could have the advantage of overcoming the mechanisms of resistance to target therapies due to the onset of modifications in intracellular pathways and the activation of compensatory mechanisms. For instance, the pleiotropic ability to modulate both Erk and Akt pathways, inducing a final anti-proliferative and pro-apoptotic effect, could be advantageous in melanoma treatment. Several small-molecule inhibitors of the Erk or the mTOR pathways have been developed, but clinical benefits are limited by the broad crosstalk between these two pathways and the subsequent onset of drug resistance due to activation of intracellular compensatory mechanisms following prolonged treatment [77,78]. Evidence supports the advantage of Erk/Akt dual inhibitors [78,79]. In this context, the ability of miR-193a to target molecules, which are involved in the regulation of both Erk and Akt pathways, can be promising.
Several miRNA mimics are tested in early phase clinical trials (NCT02580552; NCT03713320; NCT03603431) [80,81], such as MesomiR 1 (ENGeneIC), a miRNA mimic that aims to replace miR-16, a tumor suppressor that is reduced in malignant pleural mesothelioma. MesomiR 1 successfully completed the phase I clinical trial and will soon start phase II [82]. Considering all the preclinical and clinical studies on miRNAs, we can speculate that in the next decade, miRNA-based drugs could improve the management of several diseases, including cancer. In this context, miR-193a may represent an interesting candidate drug against melanoma and other cancers.

4. Materials and Methods

4.1. miRNA-193a Arms Evaluation in Plasma Exosomes

4.1.1. Enrollment of Patients and Healthy Volunteers and Sample Collection

Patient recruitment was carried out at the Department of Oncology of the University Hospital of Pisa while healthy volunteers, with similar age and sex distribution, were recruited from the Blood Donor Center of the University Hospital of Pisa. The current study was accepted by the Ethics Committee of the Great North West Area of Tuscany (395/2014 to P.N.) and it was conducted in accordance with the principles of the Declaration of Helsinki. Signed informed consent was obtained from each participant. Eleven AJCC stage IV (https://cancerstaging.org/) patients (Table 1) and eleven healthy volunteers with similar age and sex distribution entered this study. In detail, 2.5 mL of blood were drawn from each patient, collected in BD Vacutest Kima tubes containing EDTA, and centrifuged at 4 °C for 10 min at 1900× g for 1 h. Plasma supernatant was then aliquoted into 1.5 mL DNA LoBind tubes (Eppendorf AG, Hamburg, Germany) and stored at −80 °C until analysis. The timing of blood collection from patients was within a month after histologically proven melanoma metastasis.

4.1.2. Expression Analysis of Plasma Exosome-Derived miRNAs

The isolation of exosome-derived miRNAs from plasma samples was performed using ExoQuick-TCTM Exosome Precipitation Solution (Exiqon, Vedbaek, Denmark), according to the manufacturer’s instructions. Briefly, 250 μL of plasma were centrifuged at 3000× g for 15 min. Then, the supernatant was transferred to a new tube where Exoquick reagent was added in the appropriate volume. After incubation at 4 °C for 30 min, samples were centrifuged at 1500× g for 30 min. The obtained pellet was used for the extraction of miRNAs.
The miRNeasy Serum/Plasma Mini Kit (Qiagen, Hilden, Germany) was used for purification and extraction of miRNAs from isolated exosomes, according to the manufacturer’s instructions. The spike-in control, a Caenorhabditis elegans miR-39 miRNA mimic (#219610, Qiagen, Hilden, Germany), used as standard, was added in each sample during the purification, according to the manufacturer’s instructions. Samples were retro-transcribed by the miScript Reverse Transcription II Kit (Qiagen, Hilden, Germany) and the corresponding cDNA was diluted 1:3 in RNase-free water.
The miScript SYBR-Green PCR kit (Qiagen, Hilden, Germany) was used to perform quantitative real-time PCR experiments, according to the manufacturer’s instructions, and the fluorescent signal was detected on the MiniOpticon CFX 48 real-time PCR Detection System (Bio-Rad, Hercules, CA, USA). MiScript Primer Assays specific for hsa-miR-193a-3p (MIMAT0000459) and hsa-miR-193a-5p (MIMAT0004614) were obtained from Qiagen. The miRNA expression was calculated using the Ct method and normalized to the expression of the spike-in control. Each experiment was performed in triplicate.

4.2. Cell Lines

Human melanoma cells A375 (ATCC® CRL-1619, from primary cutaneous melanoma) and MeWo (ATCC® HTB-65, from lymph node cutaneous melanoma metastasis) were obtained from the American Type Culture Collection (ATCC). 501Mel (from cutaneous melanoma metastasis) were kindly provided by Dr. Poliseno (Oncogenomics Unit, Core Research Laboratory, Istituto Toscano Tumori c/o IFC-CNR, Pisa, Italy).
All cell lines were cultured in RPMI 1640 medium (Euroclone, Milan, Italy) supplemented with 10% fetal bovine serum (FBS), 100 U/mL penicillin, and 100 μg/mL streptomycin (Euroclone, Euroclone, Milan, Italy) in a humidified atmosphere containing 5% CO2 at 37 °C. Cell morphology was examined under light microscopy.

4.3. miRNA Mimics and Cell Transfection

miScript miRNA mimics of hsa-miR-193a-3p and hsa-miR-193a-5p were purchased from Qiagen (Hilden, Germany). The mimic scramble was used as control (Ctrl) in each experiment. Cell lines were plated at 60% of confluence and transfected with 10 nM mimic (miR-193a-3p or miR-193a-5p) or Ctrl using Lipofectamine 2000® (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA), according to the manufacturer’s protocol.

4.4. Cell Proliferation Assay

Cell proliferation was measured using the Neutral Red Assay (Sigma-Aldrich, Milan, Italy) as previously reported [83]. Briefly, after 24 h from seeding melanoma cells (5 × 103 cells/well) onto 96 well plates, cells were transfected with 10 nM mimic or the control (Ctrl). After 72, 96, or 120 h, 10 μL of a neutral red solution (1% acetic acid and 50% ethanol) were added to each well, and cells were incubated for 2 h at 37 °C. Optical density at 540 nm was measured using Infinite® M200 NanoQuant instrument (Tecan, Salzburg, Austria).

4.5. Pathway Analysis

The predicted targets of human miR-193a-3p and -5p were obtained from the TargetScan database (http://www.targetscan.org/faqs.Release_7.html). The predicted targets were pooled and uploaded to Database for Annotation, Visualization, and Integrated Discovery (DAVID) (https://david.ncifcrf.gov/) [84] to Gene Ontology (GO) analysis [85].

4.6. mRNA Expression Analyses

Total RNA from cells was extracted using the RNeasy Mini Kit and, then reverse transcribed using the QuantiTect Reverse Transcription kit (Qiagen, Valencia, California, USA), according to the manufacturer’s instructions. Real-time PCR was performed using SsoFast Eva Green Supermix (Ref. 172–5201; Bio-Rad, Hercules, California, USA). The sequences of forward and reverse primers were the following: ERBB2 (F) CCTCTGACGTCCATCATCTC and (R) ATCTTCTGCTGCCGTCGCTT; K-RAS (F) CAGTAGACACAAAACAGGCTCAG and (R) TGTCGGATCTCCCTCACCAATG; TROY (F) TGCTTGCCAGGATTTTATAGGAA and (R) GACGCGATCTTCACGAGGTT; PIK3R3 (F) CTTGCTCTGTGGTGGCCGAT and (R) GACGTTGAGGGAGTCGTTGT; MTOR (F) ATGCAGCTGTCCTGGTTCTC and (R) AATCAGACAGGCACGAAGGG; MCL-1 (F) CCAAGAAAGCTGCATCGAACCAT and (R) CAGCACATTCCTGATGCCACCT; NUSAP1 (F) AGCCCATCAATAAGGGAGGG and (R) ACCTGACACCCGTTTTAGCTG; β-actin (F) 5-AACTGGACGGTAGAAGGTGAC and (R) 5-GACTTCCTGTAACAACGCATC. The mRNA expression was calculated using the ΔΔCt method.

4.7. Western Blot Analysis

The analysis of protein expression by Western blotting was performed as previously described [86]. The primary antibodies used and their dilutions were the followings: anti-p-Akt1-2-3 (sc-7985-R, Santa Cruz Biotechnology), anti-ERK1 (p44)/ERK2 (p42) (Ref. sc-514302, Total ERK, Santa Cruz Biotechnology), anti-Raf-B (Ref. sc-5284 Santa Cruz Biotechnology) at 1:200 dilution; anti-phosphotyrosine204-ERK1 (p44)/ERK2(p42) (Ref. sc-7383, Santa Cruz Biotechnology) at 1:500 dilution; anti-PARP) (Ref. 9542, Cell Signaling Technology) and anti-β-actin (#MAB1501, Merck-Millipore, Burlington, MA, USA), at 1:5000 dilution overnight at 4 °C. At room temperature, the membranes were incubated with horseradish peroxidase (HRP)-labeled secondary anti-rabbit (#MAB201P, Merck-Millipore, Burlington, MA, USA) or anti-mouse antibodies (A4416, Sigma-Aldrich, Milan, Italy), for 2 h. Detection of chemiluminescence signals and densitometric analysis of blots were performed using ImageQuant LAS 4000 (GE Healthcare) and ImageLab software (Bio-Rad), respectively.

4.8. Cell Death Detection ELISA Plus

The cytoplasmic levels of histone-associated DNA fragments (mono- and oligo-nucleosomes), a marker of the apoptotic process, were investigated using the Cell Death Detection ELISA plus (#11774425001, Sigma-Aldrich, Milan, Italy), as previously reported by Carpi and colleagues [83].

4.9. Luciferase Assay

The segments of the wild-type 3′UTRs of the gene of interest (TROY) containing predicted target sites of miR-193a-5p were cloned into the pmirGLO dual-luciferase reporter (Promega, Madison, WI, USA) (Figure 6A) (wt-Luc-TROY). The pmirGLO Vector was linearized with the DraI and XbaI restriction enzymes to generate overhangs that are complementary to the annealed oligonucleotide, which was ligated by T4 DNA ligase. Sequences of primers: TROY_top_1 AAACTATAGTAAGACCCAT, TROY_bottom_1 CTAGATGGGTCTTACTATAGTTT, TROY_seq_F TTACAACCGCCAAGAAGCTG, TROY_seq-R AAAACCTCCCACATCTCCCC. Constructs were transformed using One Shot™ Stbl3™ competent cells and the purified plasmid DNA was directly transfected into Hek294T cells.
Firefly luciferase was used as the primary reporter for miRNA regulation of the 3′UTR. Renilla luciferase was used as an internal control for normalization. HEK 293T cells were maintained in 96-well plates and co-transfected with luciferase reporters (1.2 μg/well) and oligo (15 or 50 nm of miR-193a-5p mimic or negative control). The first luciferase signal reports specific experimental conditions, and the second signal reflects transfection efficiency and cell viability.
Luciferase activities were measured after 72 h using the Dual-Glo Luciferase Assay System (Promega) following the manufacturer’s protocol. Firefly luciferase activity was normalized to sea pansy luciferase activity.

4.10. Statistical Analysis

Graphic representation and statistical analysis of data were performed using GraphPad Prism 7.0 (GraphPad Software, San Diego, CA, USA). Student’s t-test and one-way ANOVA with Dunnett’s multiple comparison test were used for comparison of two or more than two groups, respectively. Data are presented as mean ± standard deviation (SD) of three independent experiments performed in triplicate.

Supplementary Materials

The following are available online at https://www.mdpi.com/1422-0067/21/17/6183/s1.

Author Contributions

Conceptualization: S.C., B.P. and P.N.; data curation: S.C., B.P., and S.D.; formal analysis: S.C., B.P., S.D. and V.C. (Valentina Citi); funding acquisition: S.C. and P.N.; methodology: S.C., B.P., S.D., S.F. and A.M.; writing—original draft: S.C. and B.P.; writing—review and editing: S.C., B.P., A.M., F.M.S., V.C. (Vincenzo Cerullo), A.R. and P.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded was supported by Associazione contro il Melanoma (ACM) ONLUS under Grant 20171801.

Acknowledgments

The authors would like to thank Laura Poliseno for the donation of the 501Mel cell line.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

miRNAsmicroRNAs
hsaHomo sapiens
KRASKirsten rat sarcoma viral oncogene homolog
ERBB2Erb-B2 receptor tyrosine kinase 2
PIK3R3Phosphoinositide-3-kinase regulatory subunit 3
mTORMammalian target of rapamycin
MCL1Myeloid leukemia cell differentiation
NUSAP1Nucleolar and spindle associated protein 1
FBSFetal bovine serum
ATCCAmerican Type Culture Collection
CtrlControl
DAVIDDatabase for Annotation, Visualization, and Integrated Discovery
GOGene Ontology
SDStandard deviation
BPBiological processes
MAPKMitogen-activated protein kinase
HRPHorseradish peroxidase
ErkExtracellular signal-regulated kinases
PARPPoly ADP ribose polymerase
EGFREpidermal growth factor receptor
TNFTumor necrosis factor
PD-L1Programmed death-ligand 1

References

  1. Karimkhani, C.; Green, A.C.; Nijsten, T.; Weinstock, M.A.; Dellavalle, R.P.; Naghavi, M.; Fitzmaurice, C. The global burden of melanoma: Results from the Global Burden of Disease Study 2015. Br. J. Dermatol. 2017, 177, 134–140. [Google Scholar] [CrossRef]
  2. Domingues, B.; Lopes, J.M.; Soares, P.; Pópulo, H. Melanoma treatment in review. Immunotargets Ther. 2018, 7, 35–49. [Google Scholar] [CrossRef] [Green Version]
  3. Keller, H.R.; Zhang, X.; Li, L.; Schaider, H.; Wells, J.W. Overcoming resistance to targeted therapy with immunotherapy and combination therapy for metastatic melanoma. Oncotarget 2017, 8, 75675–75686. [Google Scholar] [CrossRef] [Green Version]
  4. Luke, J.J.; Flaherty, K.T.; Ribas, A.; Long, G.V. Targeted agents and immunotherapies: Optimizing outcomes in melanoma. Nat. Rev. Clin. Oncol. 2017, 14, 463–482. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Friedman, R.C.; Farh, K.K.H.; Burge, C.B.; Bartel, D.P. Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 2008, 19, 92–105. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. He, L.; Hannon, G.J. MicroRNAs: Small RNAs with a big role in gene regulation. Nat. Rev. Genet. 2004, 5, 522–531. [Google Scholar] [CrossRef] [PubMed]
  7. Mendell, J.T. MicroRNAs: Critical regulators of development, cellular physiology and malignancy. Cell Cycle 2005, 4, 1179–1184. [Google Scholar] [CrossRef] [Green Version]
  8. Esteller, M. Non-coding RNAs in human disease. Nat. Rev. Genet. 2011, 12, 861–874. [Google Scholar] [CrossRef]
  9. Peng, Y.; Croce, C.M. The role of MicroRNAs in human cancer. Signal. Transduct. Target. Ther. 2016, 1. [Google Scholar] [CrossRef] [Green Version]
  10. Rupaimoole, R.; Slack, F.J. MicroRNA therapeutics: Towards a new era for the management of cancer and other diseases. Nat. Rev. Drug. Discov. 2017, 16, 203–222. [Google Scholar] [CrossRef]
  11. Mattia, G.; Puglisi, R.; Ascione, B.; Malorni, W.; Carè, A.; Matarrese, P. Cell death-based treatments of melanoma:conventional treatments and new therapeutic strategies. Cell Death Dis. 2018, 9, 112. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Esquela-Kerscher, A.; Slack, F.J. Oncomirs-microRNAs with a role in cancer. Nat. Rev. Cancer 2006, 6, 259–269. [Google Scholar] [CrossRef] [PubMed]
  13. Caramuta, S.; Egyházi, S.; Rodolfo, M.; Witten, D.; Hansson, J.; Larsson, C.; Lui, W.-O. MicroRNA expression profiles associated with mutational status and survival in malignant melanoma. J. Investig. Dermatol. 2010, 130, 2062–2070. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Fogli, S.; Polini, B.; Carpi, S.; Pardini, B.; Naccarati, A.; Dubbini, N.; Lanza, M.; Breschi, M.C.; Romanini, A.; Nieri, P. Identification of plasma microRNAs as new potential biomarkers with high diagnostic power in human cutaneous melanoma. Tumour Biol. 2017, 39. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Grossi, I.; Salvi, A.; Abeni, E.; Marchina, E.; De Petro, G. Biological Function of MicroRNA193a-3p in Health and Disease. Int. J. Genom. 2017, 2017, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Khordadmehr, M.; Shahbazi, R.; Sadreddini, S.; Baradaran, B. miR-193: A new weapon against cancer. J. Cell. Physiol. 2019, 234, 16861–16872. [Google Scholar] [CrossRef]
  17. Williams, M.; Kirschner, M.B.; Cheng, Y.Y.; Hanh, J.; Weiss, J.; Mugridge, N.; Wright, C.M.; Linton, A.; Kao, S.C.; Edelman, J.J.B.; et al. miR-193a-3p is a potential tumor suppressor in malignant pleural mesothelioma. Oncotarget 2015, 6. [Google Scholar] [CrossRef] [Green Version]
  18. Salvi, A.; Conde, I.; Abeni, E.; Arici, B.; Grossi, I.; Specchia, C.; Portolani, N.; Barlati, S.; De Petro, G. Effects of miR-193a and sorafenib on hepatocellular carcinoma cells. Mol. Cancer 2013, 12, 162. [Google Scholar] [CrossRef] [Green Version]
  19. Grossi, I.; Arici, B.; Portolani, N.; De Petro, G.; Salvi, A. Clinical and biological significance of miR-23b and miR-193a in human hepatocellular carcinoma. Oncotarget 2017, 8, 6955–6969. [Google Scholar] [CrossRef] [Green Version]
  20. Liu, Y.; Ren, F.; Luo, Y.; Rong, M.; Chen, G.; Dang, Y. Down-Regulation of MiR-193a-3p Dictates Deterioration of HCC: A Clinical Real-Time qRT-PCR Study. Med. Sci. Monit. 2015, 21, 2352–2360. [Google Scholar] [CrossRef] [Green Version]
  21. Yu, T.; Li, J.; Yan, M.; Liu, L.; Lin, H.; Zhao, F.; Sun, L.; Zhang, Y.; Cui, Y.; Zhang, F.; et al. MicroRNA-193a-3p and -5p suppress the metastasis of human non-small-cell lung cancer by downregulating the ERBB4/PIK3R3/mTOR/S6K2 signaling pathway. Oncogene 2015, 34, 413–423. [Google Scholar] [CrossRef] [PubMed]
  22. Ren, F.; Ding, H.; Huang, S.; Wang, H.; Wu, M.; Luo, D.; Dang, Y.; Yang, L.; Chen, G. Expression and clinicopathological significance of miR-193a-3p and its potential target astrocyte elevated gene-1 in non-small lung cancer tissues. Cancer Cell Int. 2015, 15, 80. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Li, Y.; Gao, L.; Luo, X.; Wang, L.; Gao, X.; Wang, W.; Sun, J.; Dou, L.; Li, J.; Xu, C.; et al. Epigenetic silencing of microRNA-193a contributes to leukemogenesis in t(8;21) acute myeloid leukemia by activating the PTEN/PI3K signal pathway. Blood 2013, 121, 499–509. [Google Scholar] [CrossRef]
  24. Gao, X.N.; Lin, J.; Li, Y.H.; Gao, L.; Wang, X.R.; Wang, W.; Kang, H.Y.; Yan, G.T.; Wang, L.L.; Yu, L. MicroRNA-193a represses c-kit expression and functions as a methylation-silenced tumor suppressor in acute myeloid leukemia. Oncogene 2011, 30, 3416–3428. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Yi, Y.; Chen, J.; Jiao, C.; Zhong, J.; Song, Z.; Yu, X.; Lu, X.; Lin, B. Upregulated miR-193a-3p as an oncogene in esophageal squamous cell carcinoma regulating cellular proliferation, migration and apoptosis. Oncol. Lett. 2016, 12, 4779–4784. [Google Scholar] [CrossRef]
  26. Tsai, K.W.; Leung, C.M.; Lo, Y.H.; Chen, T.W.; Chan, W.C.; Yu, S.Y.; Tu, Y.T.; Lam, H.C.; Li, S.C.; Ger, L.P.; et al. Arm Selection Preference of MicroRNA-193a Varies in Breast Cancer. Sci. Rep. 2016, 6, 1–13. [Google Scholar] [CrossRef] [Green Version]
  27. Liu, S.M.; Lu, J.; Lee, H.C.; Chung, F.H.; Ma, N. miR-524-5p suppresses the growth of oncogenic BRAF melanoma by targeting BRAF and ERK2. Oncotarget 2014, 5, 9444–9459. [Google Scholar] [CrossRef]
  28. Cui, X.; Liu, X.; Han, Q.; Zhu, J.; Li, J.; Ren, Z.; Liu, L.; Luo, Y.; Wang, Z.; Zhang, D.; et al. DPEP1 is a direct target of miR-193a-5p and promotes hepatoblastoma progression by PI3K/Akt/mTOR pathway. Cell Death Dis. 2019, 10, 701. [Google Scholar] [CrossRef]
  29. Jin, L.; Li, H.; Wang, J.; Lin, D.; Yin, K.; Lin, L.; Lin, Z.; Lin, G.; Wang, H.; Ying, X.; et al. MicroRNA-193a-5p exerts a tumor suppressor role in glioblastoma via modulating NOVA1. J. Cell. Biochem. 2019, 120, 6188–6197. [Google Scholar] [CrossRef]
  30. Luo, J.F.; Xu, J.; Zheng, J.Z. Long non-coding RNA TTN-AS1 promotes cell proliferation and inhibits cell apoptosis in prostatic cancer by sponging miR-193a-5p. Eur. Rev. Med. Pharmacol. Sci. 2019, 23, 7816–7825. [Google Scholar] [CrossRef]
  31. Zhang, P.; Ji, D.B.; Han, H.B.; Shi, Y.F.; Du, C.Z.; Gu, J. Downregulation of miR-193a-5p correlates with lymph node metastasis and poor prognosis in colorectal cancer. World J. Gastroenterol. 2014, 20, 12241–12248. [Google Scholar] [CrossRef] [PubMed]
  32. Pu, Y.; Zhao, F.; Cai, W.; Meng, X.; Li, Y.; Cai, S. MiR-193a-3p and miR-193a-5p suppress the metastasis of human osteosarcoma cells by down-regulating Rab27B and SRR, respectively. Clin. Exp. Metastasis 2016, 33, 359–372. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Yang, Z.; Chen, J.S.; Wen, J.K.; Gao, H.T.; Zheng, B.; Qu, C.B.; Liu, K.L.; Zhang, M.L.; Gu, J.F.; Li, J.D.; et al. Silencing of miR-193a-5p increases the chemosensitivity of prostate cancer cells to docetaxel. J. Exp. Clin. Cancer Res. 2017, 36. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Wang, C.; Ding, M.; Xia, M.; Chen, S.; Van Le, A.; Soto-Gil, R.; Shen, Y.; Wang, N.; Wang, J.; Gu, W.; et al. A Five-miRNA Panel Identified From a Multicentric Case-control Study Serves as a Novel Diagnostic Tool for Ethnically Diverse Non-small-cell Lung Cancer Patients. EBioMedicine 2015, 2, 1377–1385. [Google Scholar] [CrossRef] [Green Version]
  35. Wu, C.; Wang, C.; Guan, X.; Liu, Y.; Li, D.; Zhou, X.; Zhang, Y.; Chen, X.; Wang, J.; Zen, K.; et al. Diagnostic and prognostic implications of a serum miRNA panel in oesophageal squamous cell carcinoma. PLoS ONE 2014, 9, e92292. [Google Scholar] [CrossRef] [Green Version]
  36. Yong, F.L.; Law, C.W.; Wang, C.W. Potentiality of a triple microRNA classifier: miR-193a-3p, miR-23a and miR-338-5p for early detection of colorectal cancer. BMC Cancer 2013, 13. [Google Scholar] [CrossRef] [Green Version]
  37. Jin, Y.; Wong, Y.S.; Goh, B.K.P.; Chan, C.Y.; Cheow, P.C.; Chow, P.K.H.; Lim, T.K.H.; Goh, G.B.B.; Krishnamoorthy, T.L.; Kumar, R.; et al. Circulating microRNAs as Potential Diagnostic and Prognostic Biomarkers in Hepatocellular Carcinoma. Sci. Rep. 2019, 9, 1–12. [Google Scholar] [CrossRef] [Green Version]
  38. Iliopoulos, D.; Rotem, A.; Struhl, K. Inhibition of miR-193a Expression by Max and RXR Activates K-Ras and PLAU to Mediate Distinct Aspects of Cellular Transformation. Cancer Res. 2011, 71, 5144–5153. [Google Scholar] [CrossRef] [Green Version]
  39. Seviour, E.G.; Sehgal, V.; Mishra, D.; Rupaimoole, R.; Rodriguez-Aguayo, C.; Lopez-Berestein, G.; Lee, J.-S.; Sood, A.K.; Kim, M.P.; Mills, G.B.; et al. Targeting KRas-dependent tumour growth, circulating tumour cells and metastasis in vivo by clinically significant miR-193a-3p. Oncogene 2017, 36, 1339–1350. [Google Scholar] [CrossRef] [Green Version]
  40. Lin, C.H.; Tsai, C.H.; Yeh, C.T.; Liang, J.L.; Hung, W.C.; Lin, F.C.; Chang, W.L.; Li, H.Y.; Yao, Y.C.; Hsu, T.I.; et al. MiR-193a-5p/ERBB2 act as concurrent chemoradiation therapy response indicator of esophageal squamous cell carcinoma. Oncotarget 2016, 7, 39680–39693. [Google Scholar] [CrossRef] [Green Version]
  41. Dietrich, P.; Kuphal, S.; Spruss, T.; Hellerbrand, C.; Bosserhoff, A.K. Wild-type KRAS is a novel therapeutic target for melanoma contributing to primary and acquired resistance to BRAF inhibition. Oncogene 2018, 37, 897–911. [Google Scholar] [CrossRef] [PubMed]
  42. Sale, M.J.; Minihane, E.; Monks, N.R.; Gilley, R.; Richards, F.M.; Schifferli, K.P.; Andersen, C.L.; Davies, E.J.; Vicente, M.A.; Ozono, E.; et al. Targeting melanoma’s MCL1 bias unleashes the apoptotic potential of BRAF and ERK1/2 pathway inhibitors. Nat. Commun. 2019, 10, 1–19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Laurenzana, A.; Chillà, A.; Luciani, C.; Peppicelli, S.; Biagioni, A.; Bianchini, F.; Tenedini, E.; Torre, E.; Mocali, A.; Calorini, L.; et al. uPA/uPAR system activation drives a glycolytic phenotype in melanoma cells. Int. J. Cancer 2017, 141, 1190–1200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Mayer, I.A.; Arteaga, C.L. The PI3K/AKT Pathway as a Target for Cancer Treatment. Annu. Rev. Med. 2016, 67, 11–28. [Google Scholar] [CrossRef]
  45. Fan, Q.; Hu, X.; Zhang, H.; Wang, S.; Zhang, H.; You, C.; Zhang, C.Y.; Liang, H.; Chen, X.; Ba, Y. MiR-193a-3p is an Important Tumour Suppressor in Lung Cancer and Directly Targets KRAS. Cell. Physiol. Biochem. 2017, 44, 1311–1324. [Google Scholar] [CrossRef]
  46. Tang, Y.; Yang, S.; Wang, M.; Liu, D.; Liu, Y.; Zhang, Y.; Zhang, Q. Epigenetically altered miR-193a-3p promotes HER2 positive breast cancer aggressiveness by targeting GRB7. Int. J. Mol. Med. 2019, 43, 2352–2360. [Google Scholar] [CrossRef]
  47. Chou, N.H.; Lo, Y.H.; Wang, K.C.; Kang, C.H.; Tsai, C.Y.; Tsai, K.W. MiR-193a-5p and -3p Play a Distinct Role in Gastric Cancer: miR-193a-3p Suppresses Gastric Cancer Cell Growth by Targeting ETS1 and CCND1. Anticancer Res. 2018, 38, 3309–3318. [Google Scholar] [CrossRef]
  48. Roy, S.; Hooiveld, G.J.; Seehawer, M.; Caruso, S.; Heinzmann, F.; Schneider, A.T.; Frank, A.K.; Cardenas, D.V.; Sonntag, R.; Luedde, M.; et al. microRNA 193a-5p Regulates Levels of Nucleolar- and Spindle-Associated Protein 1 to Suppress Hepatocarcinogenesis. Gastroenterology 2018, 155, 1951–1966. [Google Scholar] [CrossRef]
  49. Kwon, J.E.; Kim, B.Y.; Kwak, S.Y.; Bae, I.H.; Han, Y.H. Ionizing radiation-inducible microRNA miR-193a-3p induces apoptosis by directly targeting Mcl-1. Apoptosis 2013, 18, 896–909. [Google Scholar] [CrossRef]
  50. Nakano, H.; Yamada, Y.; Miyazawa, T.; Yoshida, T. Gain-of-function microRNA screens identify miR-193a regulating proliferation and apoptosis in epithelial ovarian cancer cells. Int. J. Oncol. 2013, 42, 1875–1882. [Google Scholar] [CrossRef] [Green Version]
  51. Herceg, Z.; Wang, Z.Q. Failure of Poly(ADP-Ribose) Polymerase Cleavage by Caspases Leads to Induction of Necrosis and Enhanced Apoptosis. Mol. Cell. Biol. 1999, 19, 5124–5133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Morikawa, Y.; Hisaoka, T.; Kitamura, T.; Senba, E. TROY, a novel member of the tumor necrosis factor receptor superfamily in the central nervous system. Ann. N. Y. Acad. Sci. 2008, 1126, A1–A10. [Google Scholar] [CrossRef] [PubMed]
  53. Kojima, T.; Morikawa, Y.; Copeland, N.G.; Gilbert, D.J.; Jenkins, N.A.; Senba, E.; Kitamura, T. TROY, a newly identified member of the tumor necrosis factor receptor superfamily, exhibits a homology with Edar and is expressed in embryonic skin and hair follicles. J. Biol. Chem. 2000, 275, 20742–20747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Deng, C.; Lin, Y.X.; Qi, X.K.; He, G.P.; Zhang, Y.; Zhang, H.J.; Xu, M.; Feng, Q.S.; Bei, J.; Zeng, Y.X.; et al. TNFRSF19 inhibits TGFβ signaling through interaction with TGFβ receptor type I to promote tumorigenesis. Cancer Res. 2018. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Fafilek, B.; Krausova, M.; Vojtechova, M.; Pospichalova, V.; Tumova, L.; Sloncova, E.; Huranova, M.; Stancikova, J.; Hlavata, A.; Svec, J.; et al. Troy, a tumor necrosis factor receptor family member, interacts with lgr5 to inhibit wnt signaling in intestinal stem cells. Gastroenterology 2013, 144, 381–391. [Google Scholar] [CrossRef] [PubMed]
  56. Loftus, J.C.; Dhruv, H.; Tuncali, S.; Kloss, J.; Yang, Z.; Schumacher, C.A.; Cao, B.; Williams, B.O.; Eschbacher, J.M.; Ross, J.T.D.; et al. TROY (TNFRSF19) promotes glioblastoma survival signaling and therapeutic resistance. Mol. Cancer Res. 2013, 11, 865–874. [Google Scholar] [CrossRef] [Green Version]
  57. Fagerberg, L.; Hallström, B.M.; Oksvold, P.; Kampf, C.; Djureinovic, D.; Odeberg, J.; Habuka, M.; Tahmasebpoor, S.; Danielsson, A.; Edlund, K.; et al. Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics. Mol. Cell. Proteom. 2014, 13, 397–406. [Google Scholar] [CrossRef] [Green Version]
  58. Ding, Z.; Roos, A.; Kloss, J.; Dhruv, H.; Peng, S.; Pirrotte, P.; Eschbacher, J.M.; Tran, N.L.; Loftus, J.C. A Novel Signaling Complex between TROY and EGFR Mediates Glioblastoma Cell Invasion. Mol. Cancer Res. 2018, 16, 322–332. [Google Scholar] [CrossRef] [Green Version]
  59. Cloonan, N.; Wani, S.; Xu, Q.; Gu, J.; Lea, K.; Heater, S.; Barbacioru, C.; Steptoe, A.L.; Martin, H.C.; Nourbakhsh, E.; et al. MicroRNAs and their isomiRs function cooperatively to target common biological pathways. Genome Biol. 2011, 12, R126. [Google Scholar] [CrossRef] [Green Version]
  60. Leung, C.M.; Li, S.C.; Chen, T.W.; Ho, M.-R.; Hu, L.Y.; Liu, W.S.; Wu, T.T.; Hsu, P.C.; Chang, H.T.; Tsai, K.W. Comprehensive microRNA profiling of prostate cancer cells after ionizing radiation treatment. Oncol. Rep. 2014, 31, 1067–1078. [Google Scholar] [CrossRef] [Green Version]
  61. Li, S.C.; Liao, Y.L.; Ho, M.R.; Tsai, K.W.; Lai, C.H.; Lin, W. miRNA arm selection and isomiR distribution in gastric cancer. BMC Genomics 2012, 13, S13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Kern, F.; Amand, J.; Senatorov, I.; Isakova, A.; Backes, C.; Meese, E.; Keller, A.; Fehlmann, T. miRSwitch: Detecting microRNA arm shift and switch events. Nucleic Acids Res. 2020, 48, W268–W274. [Google Scholar] [CrossRef] [PubMed]
  63. Gottesdiener, L.S.; O’Connor, S.; Busam, K.J.; Won, H.; Solit, D.B.; Hyman, D.M.; Shoushtari, A.N. Rates of ERBB2 Alterations across Melanoma Subtypes and a Complete Response to Trastuzumab Emtansine in an ERBB2-Amplified Acral Melanoma. Clin. Cancer Res. 2018, 24, 5815–5819. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Dahlhoff, M.; Muzumdar, S.; Schäfer, M.; Schneider, M.R. ERBB2 Is Essential for the Growth of Chemically Induced Skin Tumors in Mice. J. Investig. Dermatol. 2017, 137, 921–930. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Hugdahl, E.; Kalvenes, M.B.; Puntervoll, H.E.; Ladstein, R.G.; Akslen, L.A. BRAF-V600E expression in primary nodular melanoma is associated with aggressive tumour features and reduced survival. Br. J. Cancer 2016, 114, 801–808. [Google Scholar] [CrossRef] [Green Version]
  66. Bogunovic, D.; O’Neill, D.W.; Belitskaya-Levy, I.; Vacic, V.; Yu, Y.-L.; Adams, S.; Darvishian, F.; Berman, R.; Shapiro, R.; Pavlick, A.C.; et al. Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival. Proc. Natl. Acad. Sci. USA 2009, 106, 20429–20434. [Google Scholar] [CrossRef] [Green Version]
  67. Hynes, N.E.; Lane, H.A. ERBB receptors and cancer: The complexity of targeted inhibitors. Nat. Rev. Cancer 2005, 5, 341–354. [Google Scholar] [CrossRef]
  68. Gimple, R.C.; Wang, X. RAS: Striking at the Core of the Oncogenic Circuitry. Front. Oncol. 2019, 9, 965. [Google Scholar] [CrossRef] [Green Version]
  69. Castellano, E.; Downward, J. RAS Interaction with PI3K: More than Just another Effector Pathway. Genes Cancer 2011, 2, 261–274. [Google Scholar] [CrossRef] [Green Version]
  70. Lee, E.F.; Harris, T.J.; Tran, S.; Evangelista, M.; Arulananda, S.; John, T.; Ramnac, C.; Hobbs, C.; Zhu, H.; Gunasingh, G.; et al. BCL-XL and MCL-1 are the key BCL-2 family proteins in melanoma cell survival. Cell Death Dis. 2019, 10, 342. [Google Scholar] [CrossRef]
  71. Vanden Bosch, A.; Raemaekers, T.; Denayer, S.; Torrekens, S.; Smets, N.; Moermans, K.; Dewerchin, M.; Carmeliet, P.; Carmeliet, G. NuSAP is essential for chromatin-induced spindle formation during early embryogenesis. J. Cell. Sci. 2010, 123, 3244–3255. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Yajima, I.; Kumasaka, M.Y.; Thang, N.D.; Goto, Y.; Takeda, K.; Yamanoshita, O.; Iida, M.; Ohgami, N.; Tamura, H.; Kawamoto, Y.; et al. RAS/RAF/MEK/ERK and PI3K/PTEN/AKT Signaling in Malignant Melanoma Progression and Therapy. Dermatol. Res. Pract. 2012, 2012, 1–5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Arteaga, C.L.; Engelman, J.A. ERBB receptors: From oncogene discovery to basic science to mechanism-based cancer therapeutics. Cancer Cell 2014, 25, 282–303. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Eblen, S.T. Extracellular-Regulated Kinases: Signaling From Ras to ERK Substrates to Control Biological Outcomes. Adv. Cancer Res. 2018, 138, 99–142. [Google Scholar] [CrossRef] [PubMed]
  75. Manning, B.D.; Toker, A. AKT/PKB Signaling: Navigating the Network. Cell 2017, 169, 381–405. [Google Scholar] [CrossRef] [Green Version]
  76. Ylösmäki, L.; Polini, B.; Smertina, E.; Martins, B.; Feola, S.; Fusciello, M.; Peltonen, K.; Carpi, S.; Nieri, P.; Ylösmäki, E.; et al. Harnessing therapeutic viruses as a delivery vehicle for RNA-based therapy. PLoS ONE 2019, 14, e0224072. [Google Scholar] [CrossRef] [Green Version]
  77. Mendoza, M.C.; Er, E.E.; Blenis, J. The Ras-ERK and PI3K-mTOR pathways: Cross-talk and compensation. Trends Biochem. Sci. 2011, 36, 320–328. [Google Scholar] [CrossRef] [Green Version]
  78. Cao, Z.; Liao, Q.; Su, M.; Huang, K.; Jin, J.; Cao, D. AKT and ERK dual inhibitors: The way forward? Cancer Lett. 2019, 459, 30–40. [Google Scholar] [CrossRef]
  79. Goulielmaki, M.; Assimomytis, N.; Rozanc, J.; Taki, E.; Christodoulou, I.; Alexopoulos, L.G.; Zoumpourlis, V.; Pintzas, A.; Papahatjis, D. DPS-2: A Novel Dual MEK/ERK and PI3K/AKT Pathway Inhibitor with Powerful Ex Vivo and In Vivo Anticancer Properties. Transl. Oncol. 2019, 12, 932–950. [Google Scholar] [CrossRef]
  80. Seto, A.G.; Beatty, X.; Lynch, J.M.; Hermreck, M.; Tetzlaff, M.; Duvic, M.; Jackson, A.L. Cobomarsen, an oligonucleotide inhibitor of miR-155, co-ordinately regulates multiple survival pathways to reduce cellular proliferation and survival in cutaneous T-cell lymphoma. Br. J. Haematol. 2018, 183, 428–444. [Google Scholar] [CrossRef] [Green Version]
  81. Gallant-Behm, C.L.; Piper, J.; Lynch, J.M.; Seto, A.G.; Hong, S.J.; Mustoe, T.A.; Maari, C.; Pestano, L.A.; Dalby, C.M.; Jackson, A.L.; et al. A MicroRNA-29 Mimic (Remlarsen) Represses Extracellular Matrix Expression and Fibroplasia in the Skin. J. Investig. Dermatol. 2019, 139, 1073–1081. [Google Scholar] [CrossRef] [PubMed]
  82. van Zandwijk, N.; Pavlakis, N.; Kao, S.C.; Linton, A.; Boyer, M.J.; Clarke, S.; Huynh, Y.; Chrzanowska, A.; Fulham, M.J.; Bailey, D.L.; et al. Safety and activity of microRNA-loaded minicells in patients with recurrent malignant pleural mesothelioma: A first-in-man, phase 1, open-label, dose-escalation study. Lancet Oncol. 2017, 18, 1386–1396. [Google Scholar] [CrossRef]
  83. Carpi, S.; Polini, B.; Poli, G.; Alcantara Barata, G.; Fogli, S.; Romanini, A.; Tuccinardi, T.; Guella, G.; Frontini, F.P.; Nieri, P.; et al. Anticancer Activity of Euplotin C, Isolated from the Marine Ciliate Euplotes crassus, Against Human Melanoma Cells. Mar. Drugs 2018, 16, 166. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Dennis, G.; Sherman, B.T.; Hosack, D.A.; Yang, J.; Gao, W.; Lane, H.C.; Lempicki, R.A. DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biol. 2003, 4. [Google Scholar] [CrossRef] [Green Version]
  85. Mi, H.; Muruganujan, A.; Ebert, D.; Huang, X.; Thomas, P.D. PANTHER version 14: More genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools. Nucleic Acids Res. 2019, 47, D419–D426. [Google Scholar] [CrossRef]
  86. Carpi, S.; Fogli, S.; Polini, B.; Montagnani, V.; Podestà, A.; Breschi, M.C.; Romanini, A.; Stecca, B.; Nieri, P. Tumor-promoting effects of cannabinoid receptor type 1 in human melanoma cells. Toxicol. In Vitro 2017, 40, 272–279. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Expression levels of exosome-derived miR-193a in plasma samples. Relative expression of miR-193a-3p (A) and miR-193a-5p (B) in stage IV melanoma patients (IV) and healthy subjects (Ctrl). Statistical analysis was performed using Student’s t-test (* p < 0.05, ** p < 0.01).
Figure 1. Expression levels of exosome-derived miR-193a in plasma samples. Relative expression of miR-193a-3p (A) and miR-193a-5p (B) in stage IV melanoma patients (IV) and healthy subjects (Ctrl). Statistical analysis was performed using Student’s t-test (* p < 0.05, ** p < 0.01).
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Figure 2. Ectopic over-expression of miR-193a arms reduces melanoma cell viability. Cell viability was analyzed by Neutral Red assay at different time points in A375 (A), MeWo (B), and 501Mel (C) cell lines. Data are representative of three independent experiments ± SD performed in triplicate. One-way ANOVA followed by Dunnett’s multiple comparisons test was performed; * p < 0.05, ** p < 0.01, *** p < 0.001 compared to the corresponding control.
Figure 2. Ectopic over-expression of miR-193a arms reduces melanoma cell viability. Cell viability was analyzed by Neutral Red assay at different time points in A375 (A), MeWo (B), and 501Mel (C) cell lines. Data are representative of three independent experiments ± SD performed in triplicate. One-way ANOVA followed by Dunnett’s multiple comparisons test was performed; * p < 0.05, ** p < 0.01, *** p < 0.001 compared to the corresponding control.
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Figure 3. (A) Putative biological processes associated with target genes that can be negatively affected by ectopic over-expression of miR-193a-3p and -5p, as identified using DAVID analysis. (BD) Ectopic over-expression of miR-193a arms reduces target genes in A375 (B), MeWo (C), and 501Mel (D). The expression of direct targets of miR-193a-3p (KRAS, EBBB2, and MCL1) or -5p (PIK3R3, MTOR, and NUSAP1) in melanoma cell lines following transfection with miR-193a-3p or -5p was measured by RT-qPCR. Data are normalized to β-actin and control mimic-transfected cells. Data are representative of three independent experiments ± SD performed in triplicate. Statistical analysis was performed using Student’s t-test (* p < 0.5, ** p < 0.01, compared to the corresponding control.)
Figure 3. (A) Putative biological processes associated with target genes that can be negatively affected by ectopic over-expression of miR-193a-3p and -5p, as identified using DAVID analysis. (BD) Ectopic over-expression of miR-193a arms reduces target genes in A375 (B), MeWo (C), and 501Mel (D). The expression of direct targets of miR-193a-3p (KRAS, EBBB2, and MCL1) or -5p (PIK3R3, MTOR, and NUSAP1) in melanoma cell lines following transfection with miR-193a-3p or -5p was measured by RT-qPCR. Data are normalized to β-actin and control mimic-transfected cells. Data are representative of three independent experiments ± SD performed in triplicate. Statistical analysis was performed using Student’s t-test (* p < 0.5, ** p < 0.01, compared to the corresponding control.)
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Figure 4. Ectopic over-expression of miR-193a arms reduces Akt and Ekt pathways activation. Protein expression levels of B-Raf, p-Akt, p-Erk 1/2, total Erk 1/2, and β-actin after ectopic over-expression of miR-193a-3p and miR-193a-5p in melanoma cells. Protein expression of B-Raf, p-Akt, p-Erk 1/2, total Erk 1/2, and β-actin in A375 (A), MeWo (B), and 501Mel (C) cell lines after 72 h of transfection with miRNA mimics was performed by Western blot analysis. Data are representative of three independent experiments ± SD performed in triplicate. One-way ANOVA followed by Dunnett’s multiple comparisons test was performed. * p < 0.05, ** p < 0.01, *** p < 0.001, compared to corresponding control.
Figure 4. Ectopic over-expression of miR-193a arms reduces Akt and Ekt pathways activation. Protein expression levels of B-Raf, p-Akt, p-Erk 1/2, total Erk 1/2, and β-actin after ectopic over-expression of miR-193a-3p and miR-193a-5p in melanoma cells. Protein expression of B-Raf, p-Akt, p-Erk 1/2, total Erk 1/2, and β-actin in A375 (A), MeWo (B), and 501Mel (C) cell lines after 72 h of transfection with miRNA mimics was performed by Western blot analysis. Data are representative of three independent experiments ± SD performed in triplicate. One-way ANOVA followed by Dunnett’s multiple comparisons test was performed. * p < 0.05, ** p < 0.01, *** p < 0.001, compared to corresponding control.
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Figure 5. Ectopic over-expression of miR-193a arms induces apoptosis. PARP cleavage (A) and internucleosomal DNA fragmentation (B) in A375, MeWo, and 501Mel cell lines after 72 h of ectopic over-expression of miR-193a-3p and miR-193a-5p. Data are presented as means ± SD of three independent experiments performed in triplicate. Ordinary one-way ANOVA followed by Dunnett’s multiple comparisons test was performed, ** p < 0.01; *** p < 0.001 compared to the corresponding control.
Figure 5. Ectopic over-expression of miR-193a arms induces apoptosis. PARP cleavage (A) and internucleosomal DNA fragmentation (B) in A375, MeWo, and 501Mel cell lines after 72 h of ectopic over-expression of miR-193a-3p and miR-193a-5p. Data are presented as means ± SD of three independent experiments performed in triplicate. Ordinary one-way ANOVA followed by Dunnett’s multiple comparisons test was performed, ** p < 0.01; *** p < 0.001 compared to the corresponding control.
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Figure 6. (A) Ectopic over-expression of miR-193a-5p reduces TROY transcriptional expression levels in A375, MeWo, and 501Mel cells. Data are representative of three independent experiments ± SD performed in triplicate. Statistical analysis was performed by Student’s t-test (** p < 0.01, *** p < 0.001, compared to corresponding control). (B) Luciferase assay analysis for miR-193a-5p and TROY mRNA 3′-UTR interaction. Luciferase assay signal did not show any downregulation by miR-193a-5p compared to the negative control.
Figure 6. (A) Ectopic over-expression of miR-193a-5p reduces TROY transcriptional expression levels in A375, MeWo, and 501Mel cells. Data are representative of three independent experiments ± SD performed in triplicate. Statistical analysis was performed by Student’s t-test (** p < 0.01, *** p < 0.001, compared to corresponding control). (B) Luciferase assay analysis for miR-193a-5p and TROY mRNA 3′-UTR interaction. Luciferase assay signal did not show any downregulation by miR-193a-5p compared to the negative control.
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Figure 7. Schematic summary of the pathways involved in the tumor suppressor activity of miR-193a-3p and -5p in melanoma cells. Ectopic over-expression of miR-193a arms decrease melanoma cell proliferation and survival, and increases apoptosis, showing an interesting role of tumor suppressor. See the text for further details. The black arrows indicate progression; the orange arrows indicate a decrease of gene or protein expression after treatment with miR-193a-5p and the red arrows indicate a decrease of the gene or protein expression after treatment with miR-193a-3p.
Figure 7. Schematic summary of the pathways involved in the tumor suppressor activity of miR-193a-3p and -5p in melanoma cells. Ectopic over-expression of miR-193a arms decrease melanoma cell proliferation and survival, and increases apoptosis, showing an interesting role of tumor suppressor. See the text for further details. The black arrows indicate progression; the orange arrows indicate a decrease of gene or protein expression after treatment with miR-193a-5p and the red arrows indicate a decrease of the gene or protein expression after treatment with miR-193a-3p.
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Table 1. Characteristics of the study population.
Table 1. Characteristics of the study population.
Variable%
Sex
Male72.7
Female27.3
Breslow thickness
<0.75 mm0
>0.75 mm100
Clark level
I-II-III0
IV18.12
V81.2
Ulceration
Present81.8
Absent18.2
LDH levels
Normal100
Elevated0
Patient condition
Alive with stable disease54.5
Alive in progression27.3
Dead18.2

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MDPI and ACS Style

Polini, B.; Carpi, S.; Doccini, S.; Citi, V.; Martelli, A.; Feola, S.; Santorelli, F.M.; Cerullo, V.; Romanini, A.; Nieri, P. Tumor Suppressor Role of hsa-miR-193a-3p and -5p in Cutaneous Melanoma. Int. J. Mol. Sci. 2020, 21, 6183. https://doi.org/10.3390/ijms21176183

AMA Style

Polini B, Carpi S, Doccini S, Citi V, Martelli A, Feola S, Santorelli FM, Cerullo V, Romanini A, Nieri P. Tumor Suppressor Role of hsa-miR-193a-3p and -5p in Cutaneous Melanoma. International Journal of Molecular Sciences. 2020; 21(17):6183. https://doi.org/10.3390/ijms21176183

Chicago/Turabian Style

Polini, Beatrice, Sara Carpi, Stefano Doccini, Valentina Citi, Alma Martelli, Sara Feola, Filippo Maria Santorelli, Vincenzo Cerullo, Antonella Romanini, and Paola Nieri. 2020. "Tumor Suppressor Role of hsa-miR-193a-3p and -5p in Cutaneous Melanoma" International Journal of Molecular Sciences 21, no. 17: 6183. https://doi.org/10.3390/ijms21176183

APA Style

Polini, B., Carpi, S., Doccini, S., Citi, V., Martelli, A., Feola, S., Santorelli, F. M., Cerullo, V., Romanini, A., & Nieri, P. (2020). Tumor Suppressor Role of hsa-miR-193a-3p and -5p in Cutaneous Melanoma. International Journal of Molecular Sciences, 21(17), 6183. https://doi.org/10.3390/ijms21176183

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