Literature DB >> 30441870

MiR-375 Regulation of LDHB Plays Distinct Roles in Polyomavirus-Positive and -Negative Merkel Cell Carcinoma.

Satendra Kumar1,2, Hong Xie3,4,5, Patrick Scicluna6,7,8, Linkiat Lee9,10, Viveca Björnhagen11, Anders Höög12,13,14, Catharina Larsson15,16,17, Weng-Onn Lui18,19.   

Abstract

MicroRNA-375 (miR-375) is deregulated in multiple tumor types and regulates important targets involved in tumorigenesis and metastasis. This miRNA is highly expressed in Merkel cell carcinoma (MCC) compared to normal skin and other non-MCC skin cancers, and its expression is high in Merkel cell polyomavirus (MCPyV)-positive (MCPyV+) and low in MCPyV-negative (MCPyV-) MCC tumors. In this study, we characterized the function and target of miR-375 in MCPyV+ and MCPyV- MCC cell lines. Ectopic expression of miR-375 in MCPyV- MCC cells resulted in decreased cell proliferation and migration, as well as increased cell apoptosis and cell cycle arrest. However, in MCPyV+ MCC cells, inhibition of miR-375 expression reduced cell growth and induced apoptosis. Additionally, the expression of lactate dehydrogenase B (LDHB), a known target of miR-375, was inversely correlated with miR-375. Silencing of LDHB reduced cell growth in MCPyV- cell lines, while its silencing in MCPyV+ cell lines rescued the cell growth effect mediated by miR-375 inhibition. Together, our results suggest dual roles of miR-375 and LDHB in MCPyV and non-MCPyV-associated MCCs. We propose that LDHB could be a therapeutic target in MCC and different strategies should be applied in virus- and non-virus-associated MCCs.

Entities:  

Keywords:  LDHB; Merkel cell carcinoma; Merkel cell polyomavirus; cell growth; miR-375

Year:  2018        PMID: 30441870      PMCID: PMC6267432          DOI: 10.3390/cancers10110443

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


1. Introduction

Merkel cell carcinoma (MCC) is a highly aggressive form of neuroendocrine cancer of the skin. The majority of cases are caused by the Merkel cell polyomavirus (MCPyV) [1] that was found monoclonally integrated into cancer cell genome with tumor-specific T antigen mutations of importance for MCC tumorigenesis [2,3,4,5,6,7,8,9,10,11,12]. Besides, ~20% of MCC tumors do not have detectable MCPyV, indicating different etiologies and clinical outcomes between MCPyV-positive (MCPyV+) and MCPyV-negative (MCPyV−) MCC tumors. In line with this distinction, we and others have reported different clinical and molecular features between MCPyV+ and MCPyV− MCCs [13,14,15,16,17,18]. In our previous study, we identified a subset of differentially expressed microRNAs (miRNAs) between MCPyV+ and MCPyV− MCC tumors [18]. Among them, microRNA-375 (miR-375) expression was found to be significantly higher in the MCPyV+ than the MCPyV− MCC tumors. Importantly this miRNA is highly specific to MCC compared to non-MCC tumors and cell lines [19,20]; its expression is also higher in serum samples of MCC patients than tumor-free patients or healthy individuals, suggesting its potential use as a surrogate marker for tumor burden in MCC [19]. Deregulation of miR-375 expression has been reported in multiple types of cancer. Typically, miR-375 is under-expressed such as in gastric carcinoma [21,22], glioma [23], colon cancer [24,25], head and neck squamous cell carcinoma [26], pancreatic cancer [27], hepatocellular carcinoma [28], and squamous cervical cancer [29]. However, overexpression of miR-375 has also been observed in medullary thyroid carcinoma [30], breast cancer [31], and prostate cancer [32]. Functionally, miR-375 acts as a tumor suppressor that inhibits cell proliferation, migration, invasion, and tumor metastasis [21,28,29,33] by targeting several important oncogenes, including phosphoinositide-dependent protein kinase-1 (PDK1) [22,34], 14-3-3 protein zeta (14-3-3ζ) [22,35], Yes-associated protein (YAP) [36], astrocyte elevated gene-1 (AEG1) [28,37,38], lactate dehydrogenase B (LDHB) [39], and Janus kinase 2 (JAK2) [21]. On the other hand, an oncogenic role of miR-375 has been demonstrated in prostate and breast cancers. In prostate cancer, miR-375 is highly expressed in high-grade and metastatic tumors, and its over-expression increases cell growth [40], while in breast cancer, its inhibition led to decreased cell growth [31]. In MCC, ectopic expression of miR-375 in MCPyV− MCC cell lines was found to promote neuroendocrine differentiation and exhibit tumor suppressor effects [41]. However, its functional role in MCPyV+ MCCs is yet to be determined. Among the miR-375 targets, LDHB was found upregulated in MCC tumors compared to carcinoid tumors of the lung, based on a proteomic approach [42]. LDHB is a key enzyme that catalyzes the conversion of lactate to pyruvate and NAD+ to NADH (an oxidized and reduced form of nicotinamide adenine dinucleotide, respectively) and is known to play important roles in cancer cell growth and progression [43,44,45]. Similar to the dual roles of miR-375, LDHB has also been demonstrated to enhance or suppress tumorigenesis depending on the cellular context [43,44]. Although LDHB was detected in some MCC tumors [42], its functional role in MCC remains unknown. In this study, we investigated the relation between expression of miR-375 and LDHB, and their functional roles in MCC. We observed that LDHB expression was inversely correlated with miR-375 levels. Interestingly, LDHB was found to have distinct roles in MCPyV+ and MCPyV− MCC cells.

2. Results

2.1. miR-375 and LDHB Expression Levels Are Inversely Correlated in MCC

To evaluate whether LDHB could be a potential target of miR-375 in MCC, we quantified miR-375 and LDHB expressions in three MCPyV− (MCC13, MCC14/2, and MCC26) and MCPyV+ (MKL-1, MKL-2 and WaGa) MCC cell lines using RT-qPCR and Western blotting, respectively. miR-375 levels were higher in all three MCPyV+ than the MCPyV− cell lines, whereas the LDHB levels were opposite (Figure 1A,B). To further establish the expression relationship between miR-375 and LDHB, we compared miR-375 and LDHB mRNA expressions in a series of 54 MCC tumor samples. Consistent with the observation in cell lines, miR-375 was inversely correlated with LDHB mRNA levels (p < 0.0001, Spearman’s rank order correlation, Figure 1C).
Figure 1

LDHB is inversely correlated with miR-375 in MCC tumors and cell lines. (A) miR-375 levels were quantified in six MCC cell lines using RT-qPCR. RNU6B was used for normalization purpose. Error bars represent SEM of four independent RNA isolations and RT-qPCR measurements. (B) Western blot analysis of LDHB protein expression in MCC cell lines. Western blot images of the LDHB and GAPDH levels are shown in the upper panel, and the quantifications of the LDHB levels are presented in the graph. The LDHB levels were normalized to GAPDH. (C) miR-375 and LDHB mRNA levels were measured in 54 MCC tumor samples using RT-qPCR. The expression correlation between miR-375 and LDHB mRNA was assessed by Spearman’s rank order correlation.

2.2. miR-375 Regulates LDHB Expression in MCC Cells

We next assessed whether miR-375 could regulate LDHB expression in MCC cell lines. We ectopically expressed miR-375 using an expression plasmid (miR-375 OE) in the three MCPyV− cell lines and silenced miR-375 using miRNA sponge (miR-375sp) in two MCPyV+ cell lines. Transfection with miR-375 OE increased miR-375 levels in all three MCPyV− cell lines, while inhibition of miR-375 (miR-375sp) reduced its levels in both WaGa and MKL-1 cells (Figure 2A). Furthermore, miR-375 over-expression reduced and its inhibition increased LDHB mRNA and protein levels (Figure 2B,C). Taken together, these observations indicate that LDHB is a target of miR-375 in MCC.
Figure 2

miR-375 regulates LDHB mRNA and protein levels. (A) RT-qPCR analysis of miR-375 levels in MCPyV− MCC cell lines (MCC13, MCC14/2, and MCC26) transfected with miR-375 expression plasmid (miR-375 OE) or vector control (pcDNA3) after 48 h of transfection and in MCPyV+ MCC cell lines (WaGa and MKL-1) transfected with miR-375 sponge (miR-375sp) or vector control (pcDNA3) after 72 h of transfection. The relative expression of miR-375 was normalized to RNU6B. (B) Quantification of LDHB mRNA expressions in cells with over-expression or inhibition of miR-375 in MCC cell lines by RT-qPCR. LDHB levels were normalized to GAPDH mRNA. (C) Western blot analysis of LDHB protein levels in cells with over-expression or inhibition of miR-375. Representative Western blot images are shown in the upper panel, and the quantifications of LDHB levels are presented in the graph below. Error bars represent SEM (n = 3). * p < 0.05, ** p < 0.01, and *** p < 0.001 by paired Student’s t-test.

Given that miR-375 is one of the MCC-specific miRNAs and its differential expression between MCPyV+ and MCPyV− MCC tumors, we sought to determine whether miR-375 plays distinct roles in these two tumor entities.

2.3. Over-Expression of miR-375 Inhibits Cell Growth and Migration in MCPyV− MCC Cell Lines

To determine the effect of miR-375 on tumor phenotypes, we ectopically expressed miR-375 in the MCPyV− cell lines using miRNA mimic or expression plasmid and investigated its effect on cell growth, cell cycle, cell migration, and apoptosis. Using RT-qPCR, we validated increased miR-375 levels in cells transfected with miR-375 mimic or expression plasmid (miR-375 OE) (Figure 3A). Using WST-1 assay, we observed a decrease of cell growth after 48 h (MCC 14/2) or 72 h (MCC13 and MCC26) of transfection of miR-375 mimic (Figure 3B). Similar to the effect with miR-375 mimic, MCC14/2 cells stably transfected with miR-375 OE reduced cell growth after 48 h, as evaluated by WST-1 and trypan blue exclusion assays (Figure 3C). The results support similar effect in miR-375 over-expressing cells using either miR-375 mimic or expression plasmid.
Figure 3

Over-expression of miR-375 reduces cell growth in MCPyV− MCC cell lines. MCPyV− MCC cells were transfected with miR-375 mimic or miR-375 OE and their respective negative controls. (A) Quantification of miR-375 in the transfected cells after 48 h of transfection or stable miR-375 OE-transfected cells of MCC14/2 by RT-qPCR. The relative expression of miR-375 was normalized to RNU6B and compared to miRNA mimic negative control (NC) or vector control (pcDNA3). (B) Evaluation of cell growth in cells transfected with miR-375 mimic and miRNA mimic NC at different time points using WST-1 assay. (C) Cell growth in stable miR-375 OE-transfected cell line was evaluated at different time points using WST-1 and trypan blue exclusion assays. Error bars are SEM from three independent experiments. * p < 0.05 and ** p < 0.01 by paired Student’s t-test. ns = not significant.

Cell cycle analysis in MCC13 and MCC14/2 revealed that miR-375 mimic-treated cells had a subtle increase (7–14%) of cells in G1 or G2 phases compared with the negative control cells, respectively (Figure 4A). Wound healing scratch assays revealed that ectopically expressed miR-375 retarded wound closure compared with the negative control at 18 h or 27 h (Figure 4B). To determine the effect on apoptosis, we evaluated the cleavage products of Poly (ADP-ribose) polymerase (PARP) (an apoptotic marker) from cells over-expressing miR-375 or negative control using Western blot analysis. As shown in Figure 4C, we observed that the 89-kDa cleavage product of PARP was increased in all three MCC cell lines over-expressing miR-375 compared to miRNA mimic control, suggesting that miR-375 expression induces cell apoptosis in MCPyV− MCC cells.
Figure 4

Over-expression of miR-375 reduces cell migration and induces cell cycle arrest and apoptosis in MCPyV− MCC cell lines. MCC13 and MCC14/2 cells were transfected with miR-375 mimic or miRNA mimic NC for 48 h. (A) Cell cycle analysis was evaluated in transfected cells by propidium iodide staining and flow cytometric analysis. Left panel: representative histograms illustrating the percentage of cells at G1 and G2 phases in cells with and without over-expression of miR-375. Right panel: Fractions of cells at G1 and G2 phases were calculated from the histograms of three independent experiments. (B) Cell migration was evaluated using wound-healing assay. Left panel: representative images of wound closure at 18 h and 27 h time points. Right panel: the wound closure was calculated based on the difference between wound gap at 18 h or 27 h and 0 h time point and normalized to viable cell number of transfected cells plated in parallel. (C) Apoptosis was evaluated after 48 h in MCC cells transfected with miR-375 mimic or NC using Western blot analysis of anti-PARP (BD Pharmingen), which recognizes the full-length (116 kDa) and apoptosis-associated cleaved (89 kDa) forms. GAPDH was used as a loading control. * p < 0.05 and ** p < 0.01 by paired Student’s t-test. ns = not significant.

2.4. Inhibition of miR-375 Expression Reduces Cell Growth and Induces Apoptosis in MCPyV+ MCC Cells

We suppressed miR-375 expression in two MCPyV+ MCC cell lines using miR-375sp (Figure 5A). Using WST-1 and trypan blue exclusion assays, we observed that suppression of miR-375 led to decreased cell growth in both WaGa and MKL-1 cell lines (Figure 5B). To further examine whether the reduction of cell growth was due to apoptosis, we determined the apoptotic effect using Annexin V and caspase-3 activity assays. For Annexin V assay, we observed that suppression of miR-375 increased the number of apoptotic cells by 13% (p = 0.016) compared to the vector control-transfected cells (Figure 5C). Concordantly, we also observed increased of caspase-3 activity upon suppression of miR-375 (2.7-fold, p = 0.001; Figure 5D). Together, our results suggest that miR-375 suppression inhibited cell growth via apoptosis in MCPyV+ MCC cells.
Figure 5

Inhibition of miR-375 reduces cell growth and induces apoptosis in MCPyV+ MCC cell lines. WaGa and MKL-1 cells were transfected with miR-375sp or vector control (pcDNA3) for 72 h. (A) RT-qPCR analysis of miR-375 levels in cells transfected with miR-375sp or pcDNA3. The miR-375 expressions were normalized to RNU6B. (B) Effect of miR-375 inhibition on cell growth was evaluated at different time points using WST-1 and trypan blue exclusion assays. (C) Representative flow cytometric images of WaGa cells co-stained with Annexin V-FITC and propidium iodide (PI) upon inhibition of miR-375. The apoptotic cells (Annexin V+/PI−) and the necrotic cells (Annexin V+/PI+) are represented in the lower and upper boxes, respectively. Quantification of the apoptotic cells is shown on the right panel. (D) Caspase-3 activity was quantified in WaGa cell lysates with and without inhibition of miR-375. Data are means ± SEM of three independent experiments. * p < 0.05, ** p < 0.01, and *** p = 0.001 by paired Student’s t-test. ns = not significant.

2.5. Silencing of LDHB Rescues Cell Growth Effect Mediated by miR-375 Suppression

To determine whether LDHB plays a role in miR-375 regulation of cell growth, we compared cell growth in miR-375sp-transfected cells with and without silencing of LDHB using two different siRNAs (siLDHB #1 and siLDHB #2). In parallel, we also transfected cells with miR-375sp or vector control only. As shown in Figure 6A, cells transfected with miR-375sp only or together with siCTR had higher LDHB levels than the pcDNA3 vector control. Co-transfection of miR-375sp and siLDHB led to a decrease in LDHB levels compared to cells transfected with miR-375sp and siCTR. Consistently, we observed decreased cell growth upon inhibition of miR-375, in which the effect was rescued by silencing of LDHB (Figure 6B).
Figure 6

LDHB plays dual roles in MCPyV+ and MCPyV− MCC cells. (A,B) MCPyV+ MCC cell lines were transfected with miR-375sp or pcDNA3, or co-transfected with miR-375sp together with siCTR, siLDHB #1, or siLDHB #2. (A) Western blot analysis of LDHB in the transfected cells after 72 h of transfection. GAPDH was used as a loading control. (B) The effect on cell growth was evaluated at different time points using WST-1 and trypan blue exclusion assays. (C,D) MCPyV− MCC cell lines were transfected with siCTR, siLDHB #1, or siLDHB #2 for 48 h. (C) Western blot analysis of the effect of LDHB silencing on LDHB protein level and cleaved PARP. The specific 25 kDa cleaved form of PARP was detected using anti-cleaved PARP antibody (Abcam). Quantification of the cleaved PARP levels is presented on the right panel. (D) Effect of LDHB silencing on cell growth was evaluated using WST-1 assay. Mean ± SEM (n = 3). * p < 0.05, ** p < 0.01, and *** p < 0.001 by paired Student’s t-test.

2.6. Silencing of LDHB Reduces Cell Growth in MCPyV− MCC Cells

In MCPyV− MCC cells, we observed higher LDHB levels (Figure 1B) and that over-expression of miR-375 reduced cell growth (Figure 3B,C). We therefore asked whether silencing of LDHB could phenocopy the effect of miR-375 down-regulation. Indeed, silencing of LDHB reduced cell growth and increased apoptosis (as indicated by increased cleaved PARP levels) (Figure 6C,D).

3. Discussion

MCC are generally divided into MCPyV+ and MCPyVtumors, depending on their etiologies. While MCPyV+ tumors are the most common MCCs in US and Europe, the MCPyVtumors are more common in Australia [17,46]. Numerous data indicate anatomical, genetical, and clinical differences between MCPyV+ and MCPyV− MCCs. Anatomically, MCPyV+ tumors are found more frequently on extremities, and MCPyVtumors are more frequent in the head and neck [17,47]. Molecularly, MCPyV− MCCs harbor high mutation loads associated with ultra-violet (UV) signature, suggesting that UV exposure is the underlying etiology of MCPyV− MCCs [48]. On the contrary, MCPyV+ tumors have low mutation burdens, suggesting that the viral oncoproteins control key processes involved in MCC tumorigenesis [49]. Clinically, MCPyVtumors are more aggressive, with increased risk of tumor progression and MCC-related death [17,47]. Additionally, MCPyV− and MCPyV+ MCCs may derive from different cell lineages [50]. All these observations support that MCPyV+ and MCPyV− MCCs are distinct tumor entities. Given substantial differences between MCPyV+ and MCPyV− MCCs, we speculated that miR-375 is functionally distinct between these two tumor types. Indeed, our results support that miR-375 acts as a tumor suppressor in MCPyV− and function as an oncogene in MCPyV+ MCC cell lines. Consistent with our findings, low expression of miR-375 and its tumor suppressor role has been observed in MCPyV− MCC cell lines [41]. In MCPyV+ cell lines, we observed that suppression of miR-375 reduced cell growth and induced apoptosis, indicating that miR-375 is important to maintain cell viability in virus-positive cells. miR-375 is an MCC-specific miRNA and is highly expressed in MCPyV+ tumors and sera; it is thus not surprising that this miRNA plays pivotal roles in this tumor type. Similar to MCC, miR-375 is also expressed in other neuroendocrine or endocrine organs, including pancreas [51,52], pituitary [53], adrenal [54], thyroid [55,56], lung [57], and gastrointestinal tract [58]. This miRNA has been demonstrated to play important roles in regulating cell differentiation [41,57,58,59], hormone synthesis, and secretion [51,52,54]. In cancer, miR-375 is generally downregulated and functions as a suppressor of cell growth, invasion, and migration in multiple tumor types [60]. Additionally, miR-375 can regulate several cancer pathways, including Hippo, PI3K-Akt, Wnt, and Notch [60]. In MCPyV− MCC, it was demonstrated that miR-375 could repress multiple targets of the Notch signaling that lead to suppression of cell viability, migration, and invasion [41]. It has also been shown that miR-375 can directly repress the key glycolytic enzyme LDHB [39]. Given that MCPyV small T-antigen can promote glycolysis [61], we speculated that miR-375 regulation of LDHB might be important in MCC tumorigenesis. Here, we demonstrated that LDHB mRNA and protein levels were reduced following over-expression of miR-375 and increased after suppression of miR-375, supporting that LDHB is a target of miR-375 in MCC. Functionally, we showed that silencing of LDHB could phenocopy the anti-survival effect of miR-375 over-expression in MCPyV− MCC cell lines, indicating its oncogenic role. The results are consistent with previous studies supporting that LDHB promotes tumor development and progression [43]. However, in MCPyV+ MCC cell lines, silencing of LDHB could rescue the cell growth inhibition effect mediated by miR-375 suppression, suggesting its role as a suppressor in MCPyV+ MCC. Similarly, reduced LDHB expression levels have also been observed in several cancer types, such as prostate cancer [44] and pancreatic cancer [62]. One common observation between these tumor types and MCPyV small T-antigen-transfected cells is their glycolytic phenotype. One possible explanation for the differential role of LDHB in MCPyV+ and MCPyV− MCC cell lines is that MCPyV+ cell lines rely on aerobic glycolysis, which requires continuous generation of NAD+ from LDHB suppression, while the oxidative cancer cells largely rely on LDHB activity to generate substrates for the Krebs cycle that fuels cellular activities. It is thus tempting to speculate that cellular metabolisms in MCPyV+ and MCPyV− MCC cells are different from one another; MCPyV+ cells are likely glycolytic and MCPyV− cells are oxidative. Given that the MCPyV small T-antigen can promote a pro-glycolytic phenotype, the question arises whether the viral oncoprotein could change the cellular metabolism of the cells that converts LDHB from its oncogenic role to tumor suppressor. Alternatively, the differential roles observed could be due to different cellular contexts rather than an effect of the virus itself. Further investigations are warranted to fully understand cellular metabolism differences between these two groups and whether MCPyV oncoproteins could change cellular metabolism of the cells or the function of LDHB.

4. Materials and Methods

4.1. Cell Lines

Six MCC cell lines were included in this study. MCC13, MCC14/2, and MCC26 are MCPyV− cell lines, which were purchased from CellBank Australia (Westmead, Australia). WaGa, MKL-1, and MKL-2 are MCPyV+ cell lines, which were kindly provided by Drs. Jürgen C. Becker (Medical University of Graz, Graz, Austria), Nancy L. Krett (Northwestern University, Chicago, IL, USA), and Roland Houben (University Hospital Würzburg, Würzburg, Germany), respectively. All MCC cells were grown in RPMI-1640 medium supplemented with 10% (WaGa, MKL-1, and MKL-2) or 15% (MCC13, MCC14/2, and MCC26) fetal bovine serum at 37 °C with 5% CO2. The authenticity of the cell lines was verified by short tandem repeat (STR) profiling in our recent study [63].

4.2. MCC Tumor Samples

Twenty-six formalin-fixed paraffin-embedded (FFPE) and 28 frozen tumor samples were collected from the Karolinska University Hospital and Stockholm South General Hospital (Stockholm, Sweden). All samples had been included in our previous studies [18,63]. The study was approved by the Ethics Committee of Karolinska Institutet (2010/1092-31/3), and the use of archival materials was approved by the Karolinska University Hospital Biobank (BbK-00557). All materials were coded. The materials were obtained with written informed consent, except those samples collected prior to 2010, which at that time were covered by a general application of endocrine tumor collection approved by the ethic committee board of the Karolinska Institutet (Dnr. 91:86), and oral informed consent was applied.

4.3. RNA Extraction

Total RNA was extracted using mirVana miRNA isolation kit (Applied Biosystem/Ambion, Austin, TX, USA) and the concentrations were measured with the NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE, USA) and stored at −80 °C for further use.

4.4. TaqMan Reverse Transcription-Quantitative PCR (RT-qPCR)

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to quantify miR-375 and LDHB expressions using the StepOnePlus™ Real-Time PCR system (Life Technologies, Carlsbad, CA, USA). Predesigned TaqMan assays for mature miR-375 (ID_000564), RNU6B (ID_001093), LDHB (Hs00929956_m1) and GAPDH (Hs99999905_m1) were purchased from Applied Biosystems. For mature miR-375 and RNU6B, cDNA was synthesized from 120 ng total RNAs using TaqMan MicroRNA Reverse Transcription Kit (cat. no. 4366597; Applied Biosystems). For mRNAs, 100 ng total RNAs was used for cDNA synthesis using High Capacity cDNA Reverse Transcription kit (cat. no. 4368814; Applied Biosystems). All reactions were performed in triplicate. The relative expression levels of mature miR-375 were normalized to RNU6B, while the LDHB expressions were normalized to GAPDH. The quantification of miR-375 and RNU6B in 26 samples was previously analyzed [18], while the remaining samples were analyzed in this study.

4.5. Transfection Experiments

For over-expression of miR-375, 3 × 105 cells of MCC13, MCC14/2, and MCC26 were transfected with 10 nM of mirVana miR-375 mimic (MC10327, Ambion) or mirVana miRNA mimic Negative Control#1 (NC, AM17110; Ambion) using Lipofectamine® RNAiMAX Reagent (Invitrogen, Carlsbad, CA, USA) or 1.5 μg of plasmid DNA (miR-375 OE or pcDNA3) using Lipofectamine 2000 (Invitrogen). Stable miR-375 OE-transfected cells were established by selection with G418 (1 mg/mL; Invitrogen) for at least four weeks. For inhibition of miR-375, 2 µg of miR-375sp, or pcDNA3 plasmid DNA was transfected into 4 × 106 WaGa and MKL-1 cells using the Amaxa Cell Line Nucleofector kit V (program D-24 and A-24, respectively; Lonza, Basel, Switzerland). miR-375 expression (miR-375 OE) and sponge (miR-375sp) vectors were generated in our previous studies [63]. Co-transfection of miR-375sp and siLDHB #1 (100 nM; SI03032589, Qiagen, Hilden, Germany), siLDHB #2 (100 nM; SI03052182, Qiagen) or control siRNA (100 nM; siCTR, SI03052182; Qiagen) were performed in 4 × 106 of WaGa and MKL-1 cells using the same nucleofection protocol. For silencing of LDHB in MCPyV− cell lines, 3 × 105 cells of MCC13, MCC14/2, and MCC26 were transfected with 10 nM of siLDHB #1, siLDHB #2, or siCTR using Lipofectamine 2000.

4.6. WST-1 Cell Viability Assay

Cell proliferation was measured by using WST-1 (cat. no. 11644807001; Roche Applied Science, Mannheim, Germany) colorimetric assay. At different time points (24, 48, 72, or 96 h post-transfection), 10 μL of WST-1 reagent was added and incubated for 3 h (MCC13, MCC14/2, and MCC26), 2 h (WaGa), or 4 h (MKL-1) at 37 °C. Absorbance was determined at wavelengths 450 nm (measurement) and 650 nm (reference) using a VERSA max microplate reader (Molecular Devices, Sunnyvale, CA, USA). Each experimental group consisted of five or eight replicates for each time point and repeated three times independently.

4.7. Trypan Blue Exclusion Assay

Cells were stained with 0.4% trypan blue stain (Invitrogen) and analyzed using the TC10TM automated cell counter (Bio-Rad, Hercules, CA, USA). Total live cells in the miR-375 OE, miR-375sp, and siLDHB-transfected cells were compared to their respective controls.

4.8. Cell Cycle Analysis

At 72 h after transfection, 1 × 106 cells were washed with PBS and fixed in cold 50% ethanol for 1 h. After washing with PBS and treating with RNase A (0.2 mg/mL; R6513, Sigma-Aldrich, St. Louis, MO, USA) for 1 h at 37 °C, the cells were then stained with 10 μL propidium iodide (1 mg/mL; P4170, Sigma-Aldrich) and kept on ice in the dark. Cell cycle analysis was performed using flow cytometry (Cytomics FC 500; Beckman Coulter, Brea, CA, USA) and FlowJo software version 7.6.2 (Tree Star Inc., Ashland, OR, USA). All experiments were performed independently in triplicate.

4.9. Wound Healing Scratch Assay

After 48 h of transfection, a scratch wound was made on the confluent monolayer cells of each treatment group and cultured in low serum (2% FBS) medium. The scratch was imaged in real-time using IncuCyte S3 (Essen BioScience, Ann Arbor, MI, USA). Image J software version 1.43u (http://rsbweb.nih.gov/ij/) was used to process all images for quantification purposes. The wound closure (cell migration) was calculated by fraction of wound at the given time to the wound area at 0 h and normalized to viable cell number of transfected cells plated in parallel. Three independent replicates were included in each experimental group.

4.10. Apoptosis Assays

Cell apoptosis was evaluated in WaGa cells after 72 h of transfection with miR-375sp or pcDNA3 using Annexin V FITC Apoptosis kit (cat. no. 640905; BioLegend, San Diego, CA, USA) and Caspase-3 colorimetric assay (#K106; BioVision, Mountain View, CA, USA). All experimental conditions were performed according to the manufacturer’s instructions. The Annexin V and propidium iodide-stained cells were analyzed by NovoCyte flow cytometer (ACEA Biosciences, San Diego, CA, USA), and the caspase-3 cleavage products were measured at wavelength 405 nm using a VERSAmax microplate reader (Molecular Devices). All experiments were replicated three times independently.

4.11. Western Blot Analysis

Cells were harvested and lysed using NP-40 lysis buffer (FNN0021; Life Technologies), supplemented with 1 mM of phenylmethanesulfonyl fluoride (PMSF, Sigma-Aldrich) and protease inhibitor (complete protease inhibitor cocktail; Roche Diagnostics GmbH). Protein concentrations were measured using the PierceTM BCA Protein assay kit (Thermo Fisher scientific, Inc., Waltham, MA, USA). Twenty-five micrograms protein lysate were run in 4–12% NuPAGE SDS or 12% Bis-Tris gels (Invitrogen) and transferred to nitrocellulose membranes. Western blot membranes were incubated with LDHB (1:1000; A7625; ABclonal, Woburn, MA, USA), PARP (1:1000; #556362; BD Biosciences, Franklin Lakes, NJ, USA) and cleaved PARP (1:1000; ab32064; Abcam, Cambridge, UK) antibodies. GAPDH (1:10,000, sc-47724; Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA or 1:5000, #5174 Cell Signaling technology, Danvers, MA, USA) was used for normalization. Signals were detected by LAS-1000 Image Analyzer (Fujifilm, Tokyo, Japan) and quantified by Image Gauge version 4.0 (Fujifilm).

4.12. Statistical Analysis

All analyses were performed using IBM SPSS Statistics version 24.0 (IBM Corp., Armonk, NY, USA) or MS Office Excel 2007. Paired Student’s t-test was performed to analyze transfection experiments. Spearman’s rank order correlation was used to evaluate correlation between miR-375 and LDHB expressions. All analyses were 2-tailed, and p-values < 0.05 were regarded as significant.

5. Conclusions

We demonstrate distinct functional roles of miR-375 and LDHB in MCPyV+ and MCPyV− MCCs. Targeting LDHB could be a novel therapy for MCC.
  62 in total

1.  Tumor suppressive microRNA-375 regulates oncogene AEG-1/MTDH in head and neck squamous cell carcinoma (HNSCC).

Authors:  Nijiro Nohata; Toyoyuki Hanazawa; Naoko Kikkawa; Muradil Mutallip; Daiju Sakurai; Lisa Fujimura; Kazumori Kawakami; Takeshi Chiyomaru; Hirofumi Yoshino; Hideki Enokida; Masayuki Nakagawa; Yoshitaka Okamoto; Naohiko Seki
Journal:  J Hum Genet       Date:  2011-07-14       Impact factor: 3.172

2.  Merkel cell polyomavirus-infected Merkel cell carcinoma cells require expression of viral T antigens.

Authors:  Roland Houben; Masahiro Shuda; Rita Weinkam; David Schrama; Huichen Feng; Yuan Chang; Patrick S Moore; Jürgen C Becker
Journal:  J Virol       Date:  2010-05-05       Impact factor: 5.103

3.  Comparative microRNA profiling of prostate carcinomas with increasing tumor stage by deep sequencing.

Authors:  Martin Hart; Elke Nolte; Sven Wach; Jaroslaw Szczyrba; Helge Taubert; Tilman T Rau; Arndt Hartmann; Friedrich A Grässer; Bernd Wullich
Journal:  Mol Cancer Res       Date:  2013-12-13       Impact factor: 5.852

4.  Epigenetic silencing of microRNA-375 regulates PDK1 expression in esophageal cancer.

Authors:  Xiaoli Li; Rui Lin; Jiansheng Li
Journal:  Dig Dis Sci       Date:  2011-04-30       Impact factor: 3.199

5.  MicroRNA-375 is downregulated in pancreatic cancer and inhibits cell proliferation in vitro.

Authors:  Jian Zhou; Shiduo Song; Jiannong Cen; Dongming Zhu; Dechun Li; Zixiang Zhang
Journal:  Oncol Res       Date:  2012       Impact factor: 5.574

6.  Merkel cell polyomavirus is more frequently present in North American than Australian Merkel cell carcinoma tumors.

Authors:  Kelly M Garneski; Ashley H Warcola; Qinghua Feng; Nancy B Kiviat; J Helen Leonard; Paul Nghiem
Journal:  J Invest Dermatol       Date:  2008-07-24       Impact factor: 8.551

7.  High-affinity Rb binding, p53 inhibition, subcellular localization, and transformation by wild-type or tumor-derived shortened Merkel cell polyomavirus large T antigens.

Authors:  Sophie Borchert; Manja Czech-Sioli; Friederike Neumann; Claudia Schmidt; Peter Wimmer; Thomas Dobner; Adam Grundhoff; Nicole Fischer
Journal:  J Virol       Date:  2013-12-26       Impact factor: 5.103

8.  Merkel cell polyomavirus small T antigen mediates microtubule destabilization to promote cell motility and migration.

Authors:  Laura M Knight; Gabriele Stakaityte; Jennifer J Wood; Hussein Abdul-Sada; David A Griffiths; Gareth J Howell; Rachel Wheat; G Eric Blair; Neil M Steven; Andrew Macdonald; David J Blackbourn; Adrian Whitehouse
Journal:  J Virol       Date:  2014-10-15       Impact factor: 5.103

9.  Merkel Cell Polyomavirus Small T Antigen Promotes Pro-Glycolytic Metabolic Perturbations Required for Transformation.

Authors:  Christian Berrios; Megha Padi; Mark A Keibler; Donglim Esther Park; Vadim Molla; Jingwei Cheng; Soo Mi Lee; Gregory Stephanopoulos; John Quackenbush; James A DeCaprio
Journal:  PLoS Pathog       Date:  2016-11-23       Impact factor: 6.823

10.  Distinct gene expression profiles of viral- and nonviral-associated merkel cell carcinoma revealed by transcriptome analysis.

Authors:  Paul W Harms; Rajiv M Patel; Monique E Verhaegen; Thomas J Giordano; Kevin T Nash; Craig N Johnson; Stephanie Daignault; Dafydd G Thomas; Johann E Gudjonsson; James T Elder; Andrzej A Dlugosz; Timothy M Johnson; Douglas R Fullen; Christopher K Bichakjian
Journal:  J Invest Dermatol       Date:  2012-12-06       Impact factor: 8.551

View more
  6 in total

1.  LDH-A-Modulation and the Variability of LDH Isoenzyme Profiles in Murine Gliomas: A Link with Metabolic and Growth Responses.

Authors:  Masahiro Shindo; Masatomo Maeda; Ko Myat; Mayuresh M Mane; Ivan J Cohen; Kiranmayi Vemuri; Avi S Albeg; Inna Serganova; Ronald Blasberg
Journal:  Cancers (Basel)       Date:  2022-05-06       Impact factor: 6.575

2.  Merkel cell polyomavirus oncoproteins induce microRNAs that suppress multiple autophagy genes.

Authors:  Satendra Kumar; Hong Xie; Hao Shi; Jiwei Gao; Carl Christofer Juhlin; Viveca Björnhagen; Anders Höög; Linkiat Lee; Catharina Larsson; Weng-Onn Lui
Journal:  Int J Cancer       Date:  2019-06-20       Impact factor: 7.396

Review 3.  Epigenetic Dysregulations in Merkel Cell Polyomavirus-Driven Merkel Cell Carcinoma.

Authors:  John Charles Rotondo; Chiara Mazziotta; Carmen Lanzillotti; Mauro Tognon; Fernanda Martini
Journal:  Int J Mol Sci       Date:  2021-10-24       Impact factor: 5.923

Review 4.  MicroRNA-375: potential cancer suppressor and therapeutic drug.

Authors:  Jiahui Wei; Yiran Lu; Ruiqing Wang; Xiangzhu Xu; Qing Liu; Song He; Huihao Pan; Xinmiao Liu; Bao Yuan; Yu Ding; Jiabao Zhang
Journal:  Biosci Rep       Date:  2021-09-30       Impact factor: 3.840

5.  Lactate dehydrogenase B regulates macrophage metabolism in the tumor microenvironment.

Authors:  Ann-Christin Frank; Rebecca Raue; Dominik C Fuhrmann; Evelyn Sirait-Fischer; Carsten Reuse; Andreas Weigert; Dieter Lütjohann; Karsten Hiller; Shahzad Nawaz Syed; Bernhard Brüne
Journal:  Theranostics       Date:  2021-06-04       Impact factor: 11.556

6.  Altered expression of lactate dehydrogenase and monocarboxylate transporter involved in lactate metabolism in broiler wooden breast.

Authors:  Dan Zhao; Michael H Kogut; Kenneth J Genovese; Chuan-Yu Hsu; Jason T Lee; Yuhua Z Farnell
Journal:  Poult Sci       Date:  2019-12-30       Impact factor: 3.352

  6 in total

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