Abstract
Adrenocortical carcinoma is a rare aggressive disease commonly recurring regardless of radical surgery. Although data on genomic alterations in malignant tumors are accumulating, knowledge of molecular events of importance for initiation of adrenocortical transformation is scarce. In an attempt to recognize early molecular alterations, we used adrenals from young multiple endocrine neoplasia type 1 conventional knock-out mice (Men1+/−) closely mimicking the human MEN1 trait (i.e. transformation of pituitary, parathyroid, endocrine pancreatic, and adrenocortical cells). MicroRNA array and hierarchical clustering showed a distinct pattern. Twenty miRNAs were significantly upregulated and eleven were downregulated in Men1+/− compared to wild type littermates. The latter included the known suppressor miRNA miR-486-3p, which was chosen for transfection in human adrenocortical carcinoma cell lines H295R and SW13. Cell growth decreased in miR-486-3p overexpressing clones and levels of the predicted target gene fatty acid synthase (FASN) and its downstream product, palmitic acid, were lowered. In conclusion, heterozygous inactivation of Men1 in adrenals results in distinct miRNA profile regulating expression of genes with impact on tumorigenesis, e.g. transcription, nucleic acid and lipid metabolism. Low levels of miR-486-3p in the early stages of transformation may contribute to proliferation by increasing FASN and thus fatty acid production. FASN as a potentially druggable target for treatment of the devastating disease adrenocortical carcinoma warrants further studies.
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Introduction
The rare disease multiple endocrine neoplasia type 1 (MEN1) is an autosomal dominantly inherited trait. Classically MEN 1 patients suffer from tumors in the pituitary, the parathyroid glands, and the endocrine pancreas1. More than one third of gene carriers also develop enlargements of the adrenals2, which frequently represent bilateral cortical hyperplasia without hormone overproduction. These proliferating adrenals may progress into adenomas and in rare cases even adrenocortical carcinomas2,3. Since more than a decade both conventional and conditional Men1 knock-out mice models, closely mimicking the human trait, have been made available for researchers4,5.
The benign, yet proliferating, adrenals of both MEN1 patients and mice retain the wild type allele of the gene2, and the protein menin6 is expressed to what seems to be the same level and subcellular localization as in the adrenals of humans and wild type mice (Fig. 1). Thus inactivation of a single allele in gene carriers is obviously enough to initiate increased proliferation of the cells of the adrenal cortex, which by definition implies that MEN1 is a haploinsufficient suppressor in these cells7. Loss of heterozygosity of MEN1 is frequently seen in sporadic adrenocortical carcinoma and MEN1 has been considered a driver gene in these tumors8,9,10,11. In addition, studies of pancreatic islets from heterozygous Men1 mice and human duodenal neuroendocrine tumors from MEN1 patients have shown that inactivation of a single allele may be sufficient for initiating tumorigenesis also in these cells12,13.
The understanding of the molecular events of importance for adrenocortical transformation into sporadic aggressive carcinomas is increasing. Substantial efforts have indeed provided interesting data, e.g. whole exome sequencing14, proteomic profiling15 and microRNA array16. However, molecular events responsible for initiating early adrenal tumorigenesis are vastly unknown.
MicroRNAs (miRNAs) are endogenous, short, non-coding RNAs that are post-transcriptional regulators and regulate specific genes by binding to their target genes in the 3’ untranslated region resulting in either translational repression or mRNA degradation17. These short sequences control about 50% of the entire human genome18. Altered expression patterns of post-transcriptional regulators such as miRNAs are frequent findings in studies of transformation. It has been reported that miRNAs might act either as oncogenes or tumor suppressors during tumorigenesis and progression19,20. They are also important regulators of complex gene networks involved in a variety of biological processes, such as cell proliferation, differentiation, apoptosis, development and metabolism21,22,23. As an attempt to recognize potential miRNAs of importance for onset of proliferation in adrenocortical cells, we performed Affymetrix miRNA array from adrenal glands of conventional Men1 heterozygous knock-out mice (Men1+/−). To enable recognition of early molecular events we chose to study the adrenals of relatively young adult mice, i.e. 10 months old, possibly before long-term proliferation results in further molecular alterations un-related to constitutional heterozygous Men1 inactivation. Moreover, we used cell lines to study whether one of the differentially regulated miRNAs and its target genes might be of relevance also in progression of human adrenocortical carcinoma.
Results
Differentially expressed miRNAs
The miRNA array profiling, performed on RNA prepared from the adrenal glands of ten Men1+/− and ten wild type (Men+/+) mice revealed a distinct expression pattern. A hierarchical cluster analysis showed that nine out of ten Men1+/− mice were in the same cluster and also nine out of ten Men1+/+ mice were grouped together (Fig. 2). Eleven miRNAs were significantly downregulated and 20 were significantly upregulated in Men1+/− compared to Men1+/+ (P < 0.05) (Table 1). The ratios of up- or down- regulation among significantly differentially expressed miRNAs ranged from 20 to 106%, mean ratio 42.3%. Seven of the differentially regulated miRNAs have earlier been reported as either suppressor or oncogene miRNAs. Among the eleven downregulated miRNAs in Men1+/− three were known tumor suppressors (miR-486-3p, miR-330-5p and miR-214-5p) and these three were most highly ranked according to fold change (−1.33, −1.14 and −1.05, respectively). On the other hand, suppressor miR-497-5p and miR-195a-5p were significantly upregulated. Oncogenes miRNAs miR-494-3p and miR-132-3p were significantly enhanced in Men1+/−.
Selection of MiR-486-3p and six potential target genes
We selected the suppressor miR-486-3p for further investigation because it was top ranked among downregulated miRNAs in Men1+/−, showing a foldchange of -1.33 (Table 1). In addition, among the multitude of predicted potential miR-486-3p target genes altogether six genes (ALDH2, FASN, GDI1, HINT1, KCND3 and MDGA1) (Table 2) corresponded to results from proteomics profiling of adrenals of the same Men1 knock-out strain24. Increased expression of one or more of these proteins, as a result of decreased expression of miR-486-3p, may thus be of relevance for adrenocortical transformation. This hypothesis was further tested in expression studies in human adrenocortical cell lines (below).
Overexpression of miR-486-3p in adrenocortical carcinoma cell lines inhibited proliferation
The established human adrenocortical carcinoma cell lines H295R and SW13 were transfected with miR-486-3p mimics in order to recognize potential biological functions of miR-486-3p in human adrenocortical transformation. The expression level of miR-486-3p after transfection, quantified by QRT-PCR, increased about 10,000-fold in both cell lines compared to miRNA negative control (miR-NC) cells (Fig. 3). Potential effects on proliferation and cell growth was assessed by performing EdU flow-cytometry assay. The assay showed that approximately 22% of miR-NC cells of both cell lines incorporated EdU, whereas the miR-486-3p overexpressing cells incorporated EdU to significantly lower degree indicative of decreased proliferation (Fig. 4). MiR-486-3p overexpressing H295R revealed decreased EdU incorporation by mean 11.55% ± 1.76 (SEM), from mean 21.50% ± 2.47 (SEM) EdU positive cells to mean 19.10% ± 2.55 (SEM) (p < 0.01). Corresponding measurements for SW13 showed that miR-486-3p overexpressing clones decreased EdU incorporation by mean 50.66% ± 8.30 (SEM) of levels in controls, from 21.7% ± 0.65 (SEM) to 10.65% ± 1.17 (SEM) EdU positive cells (p < 0.05).
MiR-486-3p regulated FASN expression in H295R and SW13 cells
H295R and SW13 cells were transfected with miR-486-3p mimic and miR-NC for 48 h and QRT-PCR analysis was performed to detect potential differential regulation of the target genes ALDH2, FASN, GDI1, HINT1, KCND3 and MDGA1 in comparison to their expression level in control cells. Among these, FASN was the only gene showing a significant downregulation in the miR-486-3p overexpressing adrenocortical cell lines (Figs. 5 and 6). Furthermore, a reduced level of FASN protein expression could be visualized and seemed lower in miR-486-3p mimic transfected cells compared to corresponding miR-NC cells. This finding was most prominent in SW13 cells (Fig. 7).
Overexpression of miR-486-3p inhibited palmitic acid synthesis
To further understand how the increased levels of miR-486-3p followed by decreased expression of FASN may impact adrenocortical proliferation we set out to analyze the downstream product of FASN activity, palmitic acid. Palmitic acid synthesis was significantly reduced, both in H295R and SW13 cells expressing miR-486-3p compared to miR-NC cells (p < 0.05) (Fig. 8).
Discussion
Over the past decade emerging evidence strongly indicate that miRNAs play important roles in virtually every biological process and many human diseases. Notably, all types of neoplasms analyzed so far, including benign tumors, reveal miRNA alterations. Dysregulation of miRNAs influences all stages of transformation, from tumor initiation to dissemination, by regulating not only protein translation but also transcription and post-transcription processes25, thus they impact both nuclear and cytoplasmatic activity. Many miRNAs have oncogenic effects and are overexpressed in cancer26,27, whereas others that show suppressor capabilities may be underexpressed or deleted, also in human adrenocortical carcinoma28,29,30,31,32,33,34. They can be released to the circulation, and since miRNAs are remarkably stable, also in blood, they have the potential to function as clinical biomarkers35,36.
In the present study, we aimed at identifying miRNAs that might be of importance for initiation of tumorigenesis in adrenocortical cells and thus chose to study adrenals from a Men1 knock-out mouse model showing few early signs of transformation. We chose to use a conventional knock-out mouse model, instead of a conditional, since the former mice have the same genotype as MEN1 patients, i.e. germ line heterozygous inactivation and preserved menin production from the retained wild type allele in the vast majority of adrenocortical lesions2,37. Since the goal was to recognize early molecular alterations more or less solely dependent on constitutionally low Men1 gene dosage (heterozygous mice), we chose to compare the miRNA array profile of the adrenals of 10 months old Men1+/− mice to that of the adrenals of equally young Men1+/+ animals. The Men1+/− adrenals were not significantly larger than those of the wild type of the same strain, and they all expressed menin (Fig. 1). We deliberately avoided to use older mice with long-standing more prominent adrenal enlargements that might have acquired a multitude of additional mutations not necessarily representing a direct result of Men1 being a haploinsufficient suppressor.
Altogether 31 miRNAs were identified as significantly differentially expressed in Men1+/− mice compared to Men1+/+. The ratios of individual miRNAs between the genotypes were not particularly high, mean 42.3%, (range 20–106%), but the sample size, ten of each genotype, was obviously enough to find a fair number of significant alterations in such early proliferations. The majority of these 31 miRNAs were not earlier known as to be involved in tumor development, and the actual biological relevance of these finding warrants further studies. However, seven of the dysregulated miRNAs in Men1+/− adrenals were already suggested to play active roles in tumorigenesis of different cancer types. The oncogenic miRNAs, miR-132-3p and miR-494-3p were significantly enhanced in Men1+/− adrenals. These two are known to participate in regulation of transcription and proliferation in pancreatic cancer and glioma26,27. A somewhat intriguing finding was the differential expression of the suppressor miR-15 family; miR-497-5p and miR-195a-5p were upregulated in proliferating Men1+/− adrenals. These miRNAs are known to be downregulated in human adrenocortical carcinomas compared to benign adenomas16. On the other hand, in the same study the miRNA profile of benign adenomas was also compared to that of normal adrenal cortices, and the latter comparison showed results in concordance with ours; miR-497-5p and -195a-5p were upregulated in benign adenomas compared to normal adrenals16.
We also found that three earlier described suppressor miRNAs (miR-214-5p, miR-330-5p and miR-486-3p) were significantly downregulated in Men1+/− adrenals. MiR-214-5p has been describes as a key hub in control of cancer networks and is frequently differentially regulated38, but it is also reported to be downregulated in childhood as well as adult adrenocortical carcinomas29,30,31,34. MiR-330-5p has revealed antiproliferative effects in colorectal cancer32 and the tumor suppressor effect might be conducted via the mTOR/Akt-pathway28. Interestingly, the MEN1 protein itself has been suggested to be a negative regulator of AKT kinase activity39. The suppressor miR-486-3p has previously been studied in several tumor types; it regulated tumor progression in gastric cancer40 and revealed anti-proliferative effects in breast cancer33. Moreover, miR-486-3p was found to be underexpressed in childhood adrenocortical tumors30. In the present study, miR-486-3p held the highest rank by means of level of differential expression being downregulated by 60% compared to Men1+/+ adrenals.
One of many targets for miR-486-3p is the FASN gene. Accumulating evidence show that the enzyme FASN has huge impact on fatty acid synthesis pathways and links these processes to glucose metabolism41,42,43. The main function of FASN is to catalyze the synthesis of long chain saturated fatty acids, e.g. palmitate, from acetyl-CoA and malonyl-CoA44. Moreover, increased levels of FASN in cancer cells has been correlated to poor prognosis, and inhibition of FASN results in apoptosis of cancer cells45,46,47. We hypothesize that downregulation of miR-486-3p may be a key event in early adrenal tumorigenesis and a result of the MEN1 heterozygosity per se. Low levels of miR-486-3p might lead to increased levels of FASN and thus increased supply of lipids which in turn is a prerequisite for membrane biogenesis in proliferating cells. It would indeed have been interesting to test this hypothesis by transfecting miR486-3p to human MEN1 adrenocortical cells, but this is of course not feasible. However, the hypothesis was somewhat strengthened by our finding upon transient transfection of miR-486-3p in human adrenocortical carcinoma cell lines H295R and SW13. Over-expression of miR-486-3p in these cells resulted in decreased proliferation as well as downregulation of FASN expression and subsequent decreased palmitate production.
We conclude that heterozygous inactivation of Men1 in mouse adrenal tissue induces a specific miRNA profile, potentially regulating expression of target genes with effect on cellular processes in tumorigenesis, including transcription, nucleic acid metabolism, and lipid metabolism. We suggest that low levels of miR-486-3p might be an important early event in adrenocortical tumorigenesis and contributes to transformation by increasing the levels of FASN which in turn increases fatty acid production. Advanced adrenocortical carcinoma is a devastating disease with limited therapeutic options; FASN as a potential druggable target warrants further studies.
Materials and methods
Animals
The conventional germline heterozygous Men1 mouse model was a kind gift by Professor Hayward of the Queensland Institute of Medical Research, Herston, Australia5. The phenotype of this strain mimics the human MEN 1 trait, i.e. development of macroscopically detectable classical Men1 target lesions in the young adult mouse, from about nine months of age, followed by onset of proliferation of the adrenal glands. Experiments and animal maintenance were approved by and performed according to the guidelines and regulations of the local committees for animal care at Uppsala University (Permit Number: C187/14).
Since we aimed at recognizing early effects of Men1 heterozygosity in the context of adrenal transformation, we chose ten months old animals to be compared to Men1+/+ of the same age and strain. Ten of each genotype were analyzed; we used eight male and two female Men1+/−, as well as six male and four female Men1+/+ mice. Size of the dissected adrenal was assessed as the product of length of the adrenal body long-axis and maximum perpendicular width. As suspected, size of the adrenals varied between individuals and some of the Men+/− had slightly enlarged glands although the difference between genotypes was not significant; 8.6 ± 0.9 (SD) mm2 in Men1+/− compared to 6.9 ± 0.7 (SD) mm2 in Men1+/+. Normal morphology and menin immunoreactivity (Fig. 1) were maintained in all specimens of both genotypes, also in the largest samples of Men1+/− adrenal glands.
Immunohistochemistry
Sections of mouse adrenals were deparaffinized and rehydrated in alcohol and then heat-retrived in Tris–EDTA, pH 9.0. Endogenous peroxidase activity was blocked by incubating the slides with Peroxidazed (Histolab Products AB, Askim, Sweden). After using Background Sniper (Histolab) to block nonspecific staining, the primary antibody Rabbit anti-menin (Bethyl Laboratories, Texas USA) was applied in dilution 1:800. Incubation with secondary antibody Rabbit-on-Rodent HRP Polymer (Histolab) was followed by chromogen Betazoid DAB staining. The sections were counterstained with hematoxylin.
MiRNA preparation and miRNA array profiling
The dissected adrenals were immediately treated with RNAlater RNA Stabilization Reagent (QIAGEN, Hilden, Germany) in order to protect the RNA in samples. The miRNeasy Micro Kit (QIAGEN) was utilized for purification of total RNA, including miRNA from the samples. Five hundred nanogram of total RNA from each sample were used to prepare biotinylated RNA according to the FlashTag Biotin HSR RNA labeling kit (P/N 703095 Rev. 2). One hundred twenty microliters of each sample were loaded to the Affymetrix miRNA 4.1 Array Plates. Finally, the arrays were hybridized, washed, stained and scanned with the GeneTitan Multi-Channel Instrument, all according to the GeneTitan Instrument User Guide for Expression Arrays Plates (Affymetrix, Santa Clare, California, USA).
MiRNA array data analysis
The raw data was normalized in the free software Expression Console, provided by Affymetrix (http://www.affymetrix.com), using the robust multi-array average method first suggested by Li and Wong in 200148. Subsequent analysis of data set, containing only the mouse probes, was carried out in the freely available statistical computing language R (http://www.r-project.org). In order to search for differentially expressed genes between Men1+/− and Men1+/+ mice, an empirical Bayes moderated t-test was applied to employ the robust version of the lmFit function from the ‘limma’ package49,50. To address the problem with multiple testing, the p-values were adjusted using the method of Benjamini and Hochberg51.
Prediction of miR-486-3p target genes
Target genes of miR-486-3p, as the top-ranked differentially expressed miRNA in Men1+/- adrenal, was further investigated. The prediction was performed by using TargetScan (http://www.targetscan.org/) free online software program along with findings from proteomics profiling of adrenals of the same Men1 mouse model24. The biological functions of the potential miRNA targets were further investigated using Ensembl (http://www.ensembl.org/) gene ontology information.
Human adrenocortical cancer cell lines
Two human adrenocortical carcinoma cell lines, H295R and SW13 cells (ATCC, Manassas, Virginia, USA), were used in this study. The cells were cultured at 37°C and 5% CO2-humidified atmosphere. H295R cells were cultured in Dulbecco’s modified Eagle’s medium/Ham F12 (DMEM/F12) medium, supplemented with 1% ITS Liquid Media Supplement, 100 units/ml of penicillin, 100 μg/ml streptomycin (1% PEST) and 2% Nu-serum. SW13 cells were cultured in DMEM/F12 medium, supplemented with 1% PEST and 10% fetal bovine serum. All reagents were purchased from Thermo Fischer Scientific (Waltham, Massachusetts, USA).
MiRNA mimic transfection
MiR-486-3p mimic and scrambled miRNA mimic (Thermo Fisher Scientific) were used to transfect H295R and SW13 cells. The mirVana mimic is double strand oligonucleotides mimicking mature miRNA and scrambled miRNA mimic is used as non-targeting negative control (miR-NC). The transfection experiment was performed by the reverse transfection procedure, according to the manufacturer's instructions, using Lipofectamine RNAiMAX (Thermo Fisher Scientific). A master mix including 25 pmol of miR-486-3p mimic or scrambled miRNA mimic (Thermo Fisher Scientific), 7.5 µL of Lipofectamine RNAiMAX and 250 µL Opti-MEM Medium (Thermo Fisher Scientific) per well was added to six-well plates, and then 6 × 105 H295R cells and 2 × 105 SW13 cells were seeded in each well. Cells were incubated in a 5% CO2-humidified atmosphere incubator at 37 °C for 48 h. The transfection experiments were performed at least three times and used for gene and protein expression analysis, cell proliferation and palmitic acid assay.
RNA extraction and quantitative real time PCR (QRT-PCR) analysis of miRNA and mRNA expression
Total RNA from cells of the adrenocortical carcinoma cell lines H295R and SW13 were isolated by using the mirVana miRNA isolation kit (Thermo Fisher Scientific) according to the manufacturer’s instructions. The purified RNA was eluted with nuclease-free water (Thermo Fisher Scientific) and was stored at -70ºC until further analysis. The RNA concentration was measured by using the NanoDrop 1000 (Thermo Fisher Scientific). One µg of total RNA from cell lines was reverse transcribed by the TaqMan MicroRNA Reverse Transcription Kit (Thermo Fisher Scientific) to detect miRNA expression. The primers used to analyze miRNA expression are described in the upper part of Supplementary Table 1. Moreover, 1 µg of total RNA from the cells were converted to cDNA with the iScript cDNA synthesis Kit (Bio-Rad, Hercules, California, USA) to detect gene expression and the primers are described in the lower part of the Supplementary Table 1. The QRT-PCR reaction was run on the Stratagene Mx3005P real-time PCR System (Agilent Technologies, Santa Clara, California, USA). Each QRT-PCR reaction of miRNA was carried out in 20 µL comprising 2 × TaqMan Universal PCR Master Mix II without UNG (Thermo Fisher Scientific), 20 × TaqMan Small RNA Assay and RT product. Each QRT-PCR reaction of mRNA was carried out in 20 µL including 2 × SsoAdvanced Universal SYBR Green Supermix (Bio-Rad), 500 nM concentrations of forward and reverse primers and 10 ng of cDNA. The reaction mixture was incubated at 95ºC for 10 min, followed by 40 cycles at 94ºC for 15 s and 60ºC for 1 min. The data were evaluated by the 2−∆∆CT method52 using either miRNA level of miR-16 or mRNA level of β-actin as internal control. All QRT-PCR expression analyses were performed at least three times.
Western blot analysis
Whole-cell protein lysates of H295R and SW13 cells were extracted by using radio-immunoprecipitation assay buffer (Sigma-Aldrich, St. Louis, Missouri, USA). Protein concentrations were determined using Coomassie Plus Better BradFord Assay (Thermo Fisher Scientific). Aliquots of 20 µg protein lysates were resolved by precast 4–20% Mini-PROTEAN TGX gels (Bio-Rad) and then transferred to 0.2-µm nitrocellulose membranes (Cell Signaling Technology, Danvers, Massachusetts, USA). PageRuler pre-stained protein ladder (Thermo Fisher Scientific) was used for the apparent size of proteins. The membranes were blocked with 5% milk in Tris-buffered saline solution containing 0.1% Tween-20 and then blotted with the primary antibody overnight at 4˚C. After washing, the membranes were incubated with horseradish peroxidase-conjugated anti-rabbit or anti-mouse IgG antibodies (GE Healthcare, Chicago, Illinois, USA), and proteins were visualized using ECL Plus Western Blotting Detection Systems (GE Healthcare) on a cooled charge-coupled device camera (Bio-Rad). Densitometrical analysis of the immunoblots was performed and quantified using the Imagelab software (Bio-Rad). Antibodies against Fatty acid synthase (#3180) and β-actin (#4970) were purchased from Cell Signaling Technology. Western blot analyses were performed three times.
Flow cytometry analysis
Click-IT Plus EdU Alexa Fluor 647 Flow Cytometry Assay Kit (Thermo Fisher Scientific) was used to analysis cell proliferation in miRNA mimic transfected adrenocortical carcinoma cell lines H295R and SW13. In brief, the transfected cells were incubated with 10 µM EdU for two hours and the cells were then harvested for flow cytometry analysis. In addition, Click-IT palmitic acid azide (Thermo Fisher Scientific) was used to detect palmitic acid in miRNA mimic transfected H295R and SW13 cells. Briefly, transfected cells were incubated overnight in 25 mM palmitic acid azide and the cells then collected for flow cytometry analysis. The experiments were performed three times.
Statistical analysis
The statistical significance of the difference between two groups was evaluated by paired t test using GraphPad Prism 6 (San Diego, California, USA); p value < 0.05 was considered significant.
References
Wermer, P. Genetic aspects of adenomatosis of endocrine glands. Am. J. Med. 16, 363–371. https://doi.org/10.1016/0002-9343(54)90353-8 (1954).
Skogseid, B. et al. Clinical and genetic features of adrenocortical lesions in multiple endocrine neoplasia type 1. J. Clin. Endocrinol. Metab. 75, 76–81. https://doi.org/10.1210/jcem.75.1.1352309 (1992).
Waldmann, J. et al. Adrenal involvement in multiple endocrine neoplasia type 1: results of 7 years prospective screening. Langenbecks Arch Surg 392, 437–443. https://doi.org/10.1007/s00423-006-0124-7 (2007).
Crabtree, J. S. et al. Of mice and MEN1: Insulinomas in a conditional mouse knockout. Mol. Cell. Biol. 23, 6075–6085. https://doi.org/10.1128/mcb.23.17.6075-6085.2003 (2003).
Loffler, K. A. et al. Broad tumor spectrum in a mouse model of multiple endocrine neoplasia type 1. Int. J. Cancer 120, 259–267. https://doi.org/10.1002/ijc.22288 (2007).
Chandrasekharappa, S. C. et al. Positional cloning of the gene for multiple endocrine neoplasia-type 1. Science 276, 404–407. https://doi.org/10.1126/science.276.5311.404 (1997).
Quon, K. C. & Berns, A. Haplo-insufficiency? Let me count the ways. Genes Dev. 15, 2917–2921. https://doi.org/10.1101/gad.949001 (2001).
Heppner, C. et al. MEN1 gene analysis in sporadic adrenocortical neoplasms. J. Clin. Endocrinol. Metab. 84, 216–219. https://doi.org/10.1210/jcem.84.1.5388 (1999).
Assie, G. et al. Integrated genomic characterization of adrenocortical carcinoma. Nat. Genet 46, 607–612. https://doi.org/10.1038/ng.2953 (2014).
Zheng, S. et al. Comprehensive pan-genomic characterization of adrenocortical carcinoma. Cancer Cell 29, 723–736. https://doi.org/10.1016/j.ccell.2016.04.002 (2016).
Nicolson, N. G., Korah, R. & Carling, T. Adrenocortical cancer cell line mutational profile reveals aggressive genetic background. J. Mol. Endocrinol. 62, 179–186. https://doi.org/10.1530/JME-18-0262 (2019).
Anlauf, M. et al. Allelic deletion of the MEN1 gene in duodenal gastrin and somatostatin cell neoplasms and their precursor lesions. Gut 56, 637–644. https://doi.org/10.1136/gut.2006.108910 (2007).
Lejonklou, M. H., Barbu, A., Stalberg, P. & Skogseid, B. Accelerated proliferation and differential global gene expression in pancreatic islets of five-week-old heterozygous Men1 mice: Men1 is a haploinsufficient suppressor. Endocrinology 153, 2588–2598. https://doi.org/10.1210/en.2011-1924 (2012).
Juhlin, C. C. et al. Whole-exome sequencing characterizes the landscape of somatic mutations and copy number alterations in adrenocortical carcinoma. J. Clin. Endocrinol. Metab. 100, E493-502. https://doi.org/10.1210/jc.2014-3282 (2015).
Kjellin, H. et al. Differentially expressed proteins in malignant and benign adrenocortical tumors. PLoS ONE 9, e87951. https://doi.org/10.1371/journal.pone.0087951 (2014).
Ozata, D. M. et al. The role of microRNA deregulation in the pathogenesis of adrenocortical carcinoma. Endocr. Relat. Cancer 18, 643–655. https://doi.org/10.1530/ERC-11-0082 (2011).
Bartel, D. P. MicroRNAs: target recognition and regulatory functions. Cell 136, 215–233. https://doi.org/10.1016/j.cell.2009.01.002 (2009).
Krol, J., Loedige, I. & Filipowicz, W. The widespread regulation of microRNA biogenesis, function and decay. Nat. Rev. Genet. 11, 597–610. https://doi.org/10.1038/nrg2843 (2010).
Roldo, C. et al. MicroRNA expression abnormalities in pancreatic endocrine and acinar tumors are associated with distinctive pathologic features and clinical behavior. J. Clin. Oncol. 24, 4677–4684. https://doi.org/10.1200/JCO.2005.05.5194 (2006).
Tavazoie, S. F. et al. Endogenous human microRNAs that suppress breast cancer metastasis. Nature 451, 147–152. https://doi.org/10.1038/nature06487 (2008).
Lai, E. C. Micro RNAs are complementary to 3’ UTR sequence motifs that mediate negative post-transcriptional regulation. Nat. Genet. 30, 363–364. https://doi.org/10.1038/ng865 (2002).
Bartel, D. P. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116, 281–297. https://doi.org/10.1016/s0092-8674(04)00045-5 (2004).
He, L. & Hannon, G. J. MicroRNAs: small RNAs with a big role in gene regulation. Nat. Rev. Genet. 5, 522–531. https://doi.org/10.1038/nrg1379 (2004).
Chu, X. Aspects of MEN1 Tumorigenesis in Endocrine Pancreas and Adrenal Glands, Acta Universitatis Upsaliensis, ISBN: 978-91-554-9273-1 (2015).
Berindan-Neagoe, I., Monroig Pdel, C., Pasculli, B. & Calin, G. A. MicroRNAome genome: a treasure for cancer diagnosis and therapy. CA Cancer J. Clin. 64, 311–336, doi:https://doi.org/10.3322/caac.21244 (2014).
Park, J. K. et al. miR-132 and miR-212 are increased in pancreatic cancer and target the retinoblastoma tumor suppressor. Biochem. Biophys. Res. Commun. 406, 518–523. https://doi.org/10.1016/j.bbrc.2011.02.065 (2011).
Lim, L. et al. MicroRNA-494 within an oncogenic microRNA megacluster regulates G1/S transition in liver tumorigenesis through suppression of mutated in colorectal cancer. Hepatology 59, 202–215. https://doi.org/10.1002/hep.26662 (2014).
Lee, K. H. et al. MicroRNA-330 acts as tumor suppressor and induces apoptosis of prostate cancer cells through E2F1-mediated suppression of Akt phosphorylation. Oncogene 28, 3360–3370. https://doi.org/10.1038/onc.2009.192 (2009).
Tombol, Z. et al. Integrative molecular bioinformatics study of human adrenocortical tumors: microRNA, tissue-specific target prediction, and pathway analysis. Endocr. Relat. Cancer 16, 895–906. https://doi.org/10.1677/ERC-09-0096 (2009).
Doghman, M. et al. Regulation of insulin-like growth factor-mammalian target of rapamycin signaling by microRNA in childhood adrenocortical tumors. Cancer Res. 70, 4666–4675. https://doi.org/10.1158/0008-5472.CAN-09-3970 (2010).
Patterson, E. E., Holloway, A. K., Weng, J., Fojo, T. & Kebebew, E. MicroRNA profiling of adrenocortical tumors reveals miR-483 as a marker of malignancy. Cancer 117, 1630–1639. https://doi.org/10.1002/cncr.25724 (2011).
Li, Y., Zhu, X., Xu, W., Wang, D. & Yan, J. miR-330 regulates the proliferation of colorectal cancer cells by targeting Cdc42. Biochem. Biophys. Res. Commun. 431, 560–565. https://doi.org/10.1016/j.bbrc.2013.01.016 (2013).
Zhang, G., Liu, Z., Cui, G., Wang, X. & Yang, Z. MicroRNA-486-5p targeting PIM-1 suppresses cell proliferation in breast cancer cells. Tumour Biol. 35, 11137–11145. https://doi.org/10.1007/s13277-014-2412-0 (2014).
Feinmesser, M. et al. Specific microRNAs differentiate adrenocortical adenomas from carcinomas and correlate with weiss histopathologic system. Appl Immunohistochem Mol Morphol 23, 522–531. https://doi.org/10.1097/PAI.0000000000000117 (2015).
Zhang, J., Zhao, H., Gao, Y. & Zhang, W. Secretory miRNAs as novel cancer biomarkers. Biochim Biophys Acta 32–43, 2012. https://doi.org/10.1016/j.bbcan.2012.03.001 (1826).
Decmann, A. et al. MicroRNA expression profiling in adrenal myelolipoma. J Clin Endocrinol Metab 103, 3522–3530. https://doi.org/10.1210/jc.2018-00817 (2018).
Gatta-Cherifi, B. et al. Adrenal involvement in MEN1. Analysis of 715 cases from the Groupe d'etude des Tumeurs Endocrines database. Eur. J. Endocrinol. 166, 269–279. https://doi.org/10.1530/EJE-11-0679 (2012).
Penna, E., Orso, F. & Taverna, D. miR-214 as a key hub that controls cancer networks: small player, multiple functions. J. Invest Dermatol. 135, 960–969. https://doi.org/10.1038/jid.2014.479 (2015).
Wang, Y. et al. The tumor suppressor protein menin inhibits AKT activation by regulating its cellular localization. Cancer Res. 71, 371–382. https://doi.org/10.1158/0008-5472.CAN-10-3221 (2011).
Oh, H. K. et al. Genomic loss of miR-486 regulates tumor progression and the OLFM4 antiapoptotic factor in gastric cancer. Clin. Cancer Res. 17, 2657–2667. https://doi.org/10.1158/1078-0432.CCR-10-3152 (2011).
Zaidi, N., Swinnen, J. V. & Smans, K. ATP-citrate lyase: a key player in cancer metabolism. Cancer Res. 72, 3709–3714. https://doi.org/10.1158/0008-5472.CAN-11-4112 (2012).
Tian, S., Li, P., Sheng, S. & Jin, X. Upregulation of pyruvate kinase M2 expression by fatty acid synthase contributes to gemcitabine resistance in pancreatic cancer. Oncol. Lett. 15, 2211–2217. https://doi.org/10.3892/ol.2017.7598 (2018).
Chang, L. et al. Inhibition of FASN suppresses the malignant biological behavior of non-small cell lung cancer cells via deregulating glucose metabolism and AKT/ERK pathway. Lipids Health Dis. 18, 118. https://doi.org/10.1186/s12944-019-1058-8 (2019).
Chirala, S. S. & Wakil, S. J. Structure and function of animal fatty acid synthase. Lipids 39, 1045–1053. https://doi.org/10.1007/s11745-004-1329-9 (2004).
Pizer, E. S. et al. Malonyl-coenzyme-A is a potential mediator of cytotoxicity induced by fatty-acid synthase inhibition in human breast cancer cells and xenografts. Cancer Res 60, 213–218 (2000).
Shah, U. S. et al. Fatty acid synthase gene overexpression and copy number gain in prostate adenocarcinoma. Hum. Pathol. 37, 401–409. https://doi.org/10.1016/j.humpath.2005.11.022 (2006).
Zecchin, K. G. et al. Inhibition of fatty acid synthase in melanoma cells activates the intrinsic pathway of apoptosis. Lab Invest. 91, 232–240. https://doi.org/10.1038/labinvest.2010.157 (2011).
Li, C. & Wong, W. H. Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. Proc. Natl. Acad. Sci. U S A 98, 31–36. https://doi.org/10.1073/pnas.011404098 (2001).
Ritchie, M. E. et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47. https://doi.org/10.1093/nar/gkv007 (2015).
Smyth, G. K. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat. Appl. Genet. Mol. Biol. 3, Article3, doi:https://doi.org/10.2202/1544-6115.1027 (2004).
Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B 57, 289–300 (1995).
Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods 25, 402–408. https://doi.org/10.1006/meth.2001.1262 (2001).
Acknowledgements
This study was supported by the Swedish Cancer Society (Cancerfonden) (CAN 2017/768) and the Swedish Research Council (2015-4870). Open Access funding provided by Uppsala University. Moreover, we thank the Array and Analysis facility at Science for Life Laboratory (SciLifeLab) in Uppsala and Hanna Göransson Kultima who has so generously helped us with the bioinformatics analysis. We also thanks SciLifeLab BioVis platform at Uppsala University to provide equipment for flow cytometry and data analysis. The authors wish to thank Nicholas K. Hayward and Christine Biondi, Queensland Institute of Medical Research, Herston, Australia, for providing the Men1 mouse strain.
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S-C.L., P.S. and B.S. conceived the experiments, S-C.L., A.M., M.R. and X.C. conducted the experiments, S-C.L., A.M. and B.S. analyzed the results. S-C.L., M.R. and A.M. prepared figures and tables. S-C.L. and B.S. wrote the manuscript. All authors reviewed the manuscript.
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Li, SC., Monazzam, A., Razmara, M. et al. MiR-486-3p was downregulated at microRNA profiling of adrenals of multiple endocrine neoplasia type 1 mice, and inhibited human adrenocortical carcinoma cell lines. Sci Rep 11, 14772 (2021). https://doi.org/10.1038/s41598-021-94154-z
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DOI: https://doi.org/10.1038/s41598-021-94154-z
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