Abstract
Diffuse malignant peritoneal mesothelioma (DMPM) is a rare and rapidly lethal tumor, poorly responsive to conventional treatments. In this regards, the identification of molecular alterations underlying DMPM onset and progression might be exploited to develop novel therapeutic strategies. Here, we focused on miR-550a-3p, which we found downregulated in 45 DMPM clinical samples compared to normal tissues and whose expression levels were associated with patient outcome. Through a gain-of-function approach using miRNA mimics in 3 DMPM cell lines, we demonstrated the tumor-suppressive role of miR-550a-3p. Specifically, miRNA ectopic expression impaired cell proliferation and invasiveness, enhanced the apoptotic response, and reduced the growth of DMPM xenografts in mice. Antiproliferative and proapoptotic effects were also observed in prostate and ovarian cancer cell lines following miR-550a-3p ectopic expression. miR-550a-3p effects were mediated, at least in part, by the direct inhibition of HSP90AA1 and the consequent downregulation of its target proteins, the levels of which were rescued upon disruption of miRNA-HSP90AA1 mRNA pairing, partially abrogating miR-550a-3p-induced cellular effects. Our results show that miR-550a-3p reconstitution affects several tumor traits, thus suggesting this approach as a potential novel therapeutic strategy for DMPM.
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Introduction
Diffuse malignant peritoneal mesothelioma (DMPM) is a rare tumor that develops from the mesothelial cells lining the peritoneal cavity. DMPM includes three histological subtypes, epithelioid, sarcomatoid, and biphasic (epithelioid and sarcomatoid), with the epitheliod subtype being the most frequent and less aggressive subtype [1]. Although locally aggressive, DMPM is characterized by poor prognosis, and patient survival does not exceed 1 year following treatment with palliative surgery and systemic or intraperitoneal chemotherapy [2]. The only treatment that meaningfully impacts the natural history of DMPM is aggressive cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC), which is currently regarded as the gold-standard initial treatment for selected DMPM patients as it was found to significantly extend median survival time to 34–92 months [3,4,5,6]. However, for recurrent patients and for those who are not eligible for CRS + HIPEC there is an urgent need for alternative effective treatments.
DMPM is an understudied disease and, although there might be an association with asbestos exposure, its pathogenesis is mostly unknown. A better understanding of the disease biology, leading to the identification of molecular alterations underlying disease onset and progression, could provide a source of novel therapeutic targets. A few studies carried out thus far indicated that a fraction of DMPM is characterized by the presence of mutations in BRCA1 associated protein 1,Neurofibromin 2, DEAD-Box Helicase 3 X-Linked, SET Domain Containing 2, and Histone Lysine Methyltransferase genes, as well as by the loss of 3p21 locus, which includes chromatin modifiers and epigenetic regulatory genes [7, 8]. In addition, ALK rearrangements have been described in a small subset of younger women affected by DMPM [9]. However, it is still unclear whether such molecular alterations are causative of the disease or impact disease progression.
MicroRNAs (miRNAs) are small non-coding evolutionarily conserved RNA molecules, involved in post-transcriptional gene silencing by binding to 3’untranslated region (3’UTR) of target mRNAs, thus controlling a variety of important biological processes [10, 11]. Dysregulated miRNAs have been causatively associated with the pathogenesis of several diseases, including cancer. Depending on their expression levels, cellular context, and target genes, miRNAs can act as oncogenes or tumor suppressors [12]. In recent years, miRNA functional involvement in human cancer has raised an increasing interest toward their exploitation as therapeutic targets and tools [13]. Thus far, very little information is available on the expression and functional role of miRNAs in DMPM. Indeed, the current knowledge is limited to two miRNAs, miR-34a and miR-380-5p, that are negligibly expressed in DMPM and the ectopic expression of which in DMPM cell models exerts tumor-suppressive effects dealing with the inhibition of MET and AXL expression [14] and the perturbation of telomerase activity [15], respectively.
In the current study, we investigated the expression levels of miR-550a-3p and its association with clinical outcome in a cohort of DMPM patients who underwent CRS + HIPEC. Furthermore, we assessed the biological effects induced by miR-550a-3p ectopic expression in DMPM patient-derived cell lines to provide the preclinical basis for the design of a novel miRNA-based therapeutic approach. In addition, to broaden the relevance of our findings, we extended the analysis of miR-550a-3p-induced effects to cell lines of other human tumor types, such as ovarian and prostate cancer. Results are reported herein.
Materials and methods
Study population
Frozen DMPM lesions from 45 adult patients treated with CRS + HIPEC from 1997 to 2013 at the Fondazione IRCCS Istituto Nazionale dei Tumori (INT) of Milan were available for miR-550a-3p expression analysis. The H&E stained slides of all cases were reviewed, and the tumors were classified as epithelial, sarcomatoid, or biphasic according to the WHO classification. Eleven normal peritoneum specimens were also obtained from patients who underwent surgery for non-oncologic diseases. The study was approved by the Institutional Review Board. Written informed consent was obtained from all patients to donate the leftover tissue to INT after diagnostic and clinical procedures.
Cell culture and transfection procedures
The DMPM cell lines STO, MP8, and MP115 were established in our laboratory from clinical samples of epithelioid (STO and MP8) and biphasic (MP115) DMPM [14,15,16,17,18]. Human prostate carcinoma cell lines, DU145 and PC3, were purchased from the American Type Culture Collection (ATCC, Manassas, VA, USA). A human ovarian carcinoma cell line, IGROV-1, was established from a patient with ovarian adenocarcinoma as described [19], and its resistant subline IGROV-1/Pt1 was generated by continuous exposure of parental cells to platinum drugs and was characterized by mutations in the TP53 gene [19, 20]. DMPM cells were cultured in DMEM F-12 medium (Lonza, Basel, Switzerland). Ovarian and prostate cells were maintained in RPMI 1640 medium (Lonza). Both media were supplemented with 10% fetal bovine serum in a 37 °C humidified 5% CO2 incubator. All cells were human mycoplasma-free. All cell lines were authenticated by single tandem repeat analysis by the AmpFISTR Identifiler PCR amplification kit (Applied Biosystems, Waltham, Massachusetts, USA).
Synthetic miR-550a-3p mimic (hereafter miR-550a-3p) and mimic negative control (Neg) were purchased as Pre-miR™ miRNA precursor molecules (Thermo Fisher Scientific Inc, Waltham, Massachusetts, USA). Cells were transfected for 24 h with 20 nM of miR-550a-3p or miR-Neg, using Lipofectamine® RNAiMAX Transfection Reagent (Thermo Fisher Scientific Inc) with Opti-MEM I (Gibco, NY, USA) according to the manufacturer’s instructions.
In miR-Mask experiments, 20 nM of HSP90AA1-miScript Target Protector (Qiagen, Hilden, Germany) was transfected alone or in combination with miR-550a-3p mimic, under the same transfection conditions described above.
RNA Extraction and qRT-PCR
Total RNA from tissue specimens and cell lines was isolated using the miRNeasy Mini Kit (Qiagen) according to the manufacturer’s guidelines, and 1 μg of total RNA was reverse transcribed to cDNA by miScript II RT Kit (Qiagen). miR-550a-3p and HSP90AA1 mRNA expression levels were quantified by quantitative RT-PCR (qRT-PCR) using miScript SYBR Green PCR Kit (Qiagen) and TaqMan®gene expression assays (Thermo Fisher Scientific Inc), respectively (detailed in Material and Methods Supplementary Information). The primers for qRT-PCR were as follows: miScript Primer Assays specific for miR-550a-3p (MS00023807) and normalized on SNORD48 (MS00007511) (Qiagen); HSP90AA1 (Hs00743767, Thermo Fisher Scientific Inc) and normalized on GAPDH (Hs.PT.39a.22214836, Integrated DNA Technologies, Inc. Coralville, Iowa, USA). Amplifications were run on the 7900HT Fast Real Time PCR System (Applied Biosystem). Data were analyzed by SDS 2.2.2 software (Thermo Fisher Scientific Inc) and reported as 2−ΔCt or as relative quantity (RQ = 2−ΔΔCt): being ΔCt the difference between the threshold cycle (Ct) of the target gene and the Ct of the housekeeping gene and ΔΔCt the difference between ΔCt of the sample and ΔCt of the calibrator. The calibrator corresponded to the sample transfected with miR-Neg.
Cell growth assays
To assess the effect of miR-550a-3p on cell proliferation, cells were trypsinized at different intervals from transfection with miR-Neg or miR-550a-3p, and counted in a particle counter (Beckman Coulter Inc., Brea, California, USA). Results were expressed as percent variation in the number of miR-550a-3p-transfected cells compared with Neg-transfected cells.
The anchorage-independent growth assay was performed as described by Cuccuru et al. [21]. Briefly, 24 h after miR-Neg or miR-550a-3p transfection, cells were trypsinized and suspended in a medium containing 0.33% of agarose (Sigma–Aldrich, St. Louis, Missouri, USA) and was layered onto semisolid agarose (0.5% of agarose in medium) in duplicate on 9.6 cm2 dishes. After 10 days of incubation at 37 °C, cell colonies were stained with p-iodonitrotetrazolium violet (Sigma–Aldrich) and counted by Image J software.
Western blot analysis
Whole-cell lysates were resolved by SDS-PAGE, transferred to nitrocellulose membranes, and probed with specific antibodies, as previously described [22]. The following primary antibodies were used: anti-Caspase-3 (#9662, 1:1000) and Caspase-9 (#9502, 1:1000) (Cell Signaling Inc, Beverly, MA, USA), anti-HSP90 alpha (TA332385, 1:2000; Origene, Rockville, MD, USA), anti-Cdc37 (sc-5617, 1:000), and anti-Raf-1 (sc-133, 1:1000) (Santa Cruz Biotechnology Inc, Santa Cruz, CA, USA), anti-Akt (610861, 1:1000; BD Biosciences, San Jose, CA, USA); anti-p53 (DO-7 M700101-2, 1:1000, Dako, Agilent, Santa Clara, CA, USA). Anti-Vinculin (V9131, 1:5000; Sigma–Aldrich) was used as an equal protein loading control. The filters were then incubated with the secondary peroxidase-linked whole antibodies and detailed in Material and Methods Supplementary Information. Bound antibody was detected using the Novex ECL, HRP Chemiluminescent substrate Reagent Kit (Thermo Fisher Scientific Inc). Membranes were cropped to allow simultaneous incubation of different primary antibodies on the same samples. Membranes were stripped and successfully reincubated with a second antibody, where appropriate. For the preparation of figures, we cropped the original western blot to generate the appropriate figure panels with the relevant lanes. The cropped image was then subjected to uniform image enhancement of contrast and brightness. Molecular weights were determined using the Precision Plus Protein™ Standard (Bio-Rad Laboratories, Hercules, California, USA), which yields a colorimetric image only and has been removed from the chemoluminescence blot image.
Apoptosis assay
At different time points after transfection with miR-Neg or miR-550a-3p, floating and adherent cells were harvested and processed for apoptosis evaluation by TUNEL assay according to manufacturer’s instructions (Roche, Basel, Switzerland). The cells were subjected to FACS analysis (BD Accuri™ C6 Cytometer, Becton Dickinson, Basel, Switzerland).
Cell invasion assay
Invasion assay was performed 72 h after transfection with miR-Neg or miR-550a-3p by using Transwell membranes previously coated with 3.47 μg Matrigel/well (Boyden chamber with 8 mm pore size filter in the inset chambers (Costar, Corning Inc., NY, USA)) according to the protocol of our previous studies [14]. Cells were suspended in 300 µL serum-free medium and seeded into the insert chambers. After 24 h of incubation at 37 °C in 5% CO2, cells that migrated into the bottom chamber containing 1 ml of complete medium were fixed in 95 % ethanol, stained with a solution of 0.4% sulforhodamine B in 0.1% acetic acid, photographed, and counted under an inverted microscope.
In vivo experiments
Animal experiments were approved by the Ethics Committee for Animal Experimentation of INT, authorized by the Italian Ministry of Health according to the national law (Project approval code: 1120/2015-PR), and performed in compliance with international policies and guidelines. SCID mice (8-week-old female) were purchased from Charles River Laboratories (Charles River Laboratories, Wilmington, Massachusetts, USA). Cells were transfected with miR-550a-3p or miR-Neg for 24 h, and then subcutaneously injected into the mouse right flank (5 × 106cells/mouse). Each experimental group was composed of five mice. Inoculated animals were inspected daily to establish the time of tumor onset. Tumor growth was measured every 2–3 days using a Vernier caliper. The subcutaneous tumor volume was calculated as follows: TV (mm3) = d2 × D / 2, where d and D are the shortest and the longest diameter, respectively. Volume inhibition percentage (TVI %) in tumors derived from miR-550a-3p- over Neg-transfected cells was calculated as follows: TVI% = 100 − (mean miR-550a-3p TV / mean Neg TV × 100).
In silico prediction of miRNA targets
Putative targets of miR-550a-3p were selected using miRWalk2.0 (http://www.ma.uniheidelberg.de/apps/zmf/mirwalk) algorithm. Predicted targets of miRWalk2.0 are obtained by integration of predicted miRNA targets produced by 12 established miRNA-target prediction programs (miRWalk microt4, miRanda, mirbridge, miRDB, miRMap, miRNAMap, PicTar2, PITA, RNA22, RNAhybrid, and TargetScan). We only selected the targets predicted by at least six of these programs which employ different algorithm predictions.
Gene expression profiling
Twenty-four hours after transfection with miRNA mimics (miR-Neg and miR-550a-3p) STO cells were lysed as described above. RNA was extracted from three independent transfections of STO cells with miRNA mimics and analyzed on Illumina BeadStudio v4 gene expression platform. Scanned images were collected using Illumina BeadStudio v3.3.8 and processed using the lumi package [23] from Bioconductor v3.0 [24]. Raw data were log2-transformed, normalized with Robust Spline Normalization, and filtered, keeping only probes with a detection p-value < 0.01 in at least one sample; probes not associated with the official gene symbol were removed. Expression data were deposited in the Gene Expression Omnibus repository (GEO) with accession number GSE165341. Differentially expressed genes between the two conditions were identified using the limma package [25], and significance was assessed by Benjamini–Hochberg false discovery rate (FDR) method in order to take into account the multiple-testing correction.
Statistical analyses
The effect of miR-550a-3p ectopic expression in cell-based assays was assessed by using the nonparametric Wilcoxon or Kruskal–Wallis tests according to the number of considered groups [26] and corresponding p-values were estimated according to exact test or via Monte Carlo approaches. The nonparametric Sign Test was used to compare the sample distribution to a given value. For the animal experiment, a mixed model (with a compound symmetry covariance matrix) was fitted to assess the tumor growth (on a logarithmic scale) as a function of time and experimental groups (fixed factors) with mice considered as a random factor. For clinical data, relapse-free survival (RFS) was calculated as the time from surgery to the first relapse and overall survival (OS) as a time to death due to any cause. The prognostic role of miR-550a-3p expression (considered on its original continuous scale) on RFS and OS was investigated using a Cox regression model in a univariate fashion [27]. The relationship between miR-550a-3p expression and outcome was investigated using a regression model based on restricted cubic splines. Subsequently, miR-550a-3p was dichotomized according to the median value and the patterns of RFS and OS were estimated using the Kaplan–Meier method [28], and the survival curves were compared using log-rank tests. All statistical analyses were carried out with SAS (Statistical Analysis System, RRID:SCR_008567, version 9.4.; SAS Institute, Inc., Cary, NC) by adopting an alpha level of 5%.
Results
miR-550a-3p is downregulated and its expression is a prognostic factor in DMPM
By comparatively assessing miRNA profiles in 51 DMPM and 5 normal mesothelium samples on a microarray platform (GSE99362) [15], we initially identified miR-550a-3p as a downregulated miRNA in tumors (p = 0.019) (Fig. 1A). The significantly reduced abundance of miR-550a-3p was then confirmed by qRT-PCR in an independent DMPM cohort, including 45 DMPM and 11 normal mesothelium samples (p = 0.003) (Fig. 1B). Consistently, miR-550a-3p showed a trend of down-modulation also in DMPM cell lines (STO, MP8, and MP115) developed in our lab from DMPM clinical samples (Fig. 1C). Thanks to the availability of clinico-pathogical and follow-up information of DMPM patients, we then investigated whether miR-550a-3p expression level is associated with patient clinical outcomes. Clinico-pathological characteristics of the cohort are reported in Table 1. Median follow-up was 31 months (interquartile, 11–136 months). Univariate Cox analysis revealed a statistically significant association between miR-550a-3p expression, considered on its continuous scale, and RFS (HR: 0.802, 95% CI: 0.671; 0.959, p = 0.015) (Supplementary Fig. 1). The significance was retained also when we pursued the analysis by dichotomizing the miR-550a-3p expression (p = 0.007) (Fig. 1D). No statistically significant association was observed between miR-550a-3p expression and patient OS (HR: 0.876, 95% CI: 0.711; 1.080), possibly because of the low number of events.
Ectopic expression of miR-550a-3p in DMPM cells counteracts growth and invasion and promotes apoptosis
To assess the biological role of miR-550a-3p in DMPM, we transiently transfected the three cell lines with synthetic miR-550a-3p mimic and miRNA negative control. A marked increase in miRNA abundance was observed in all cell lines at 24 h from transfection with the miRNA mimic, which was still appreciable, to a comparable extent, at 144 h (Fig. 2A, p < 0.05). miR-550a-3p ectopic expression inhibited the proliferation of all DMPM cell lines in a time-dependent manner, although a more rapid cell growth decline was observed in MP8 and MP115 cells than in STO cells (Fig. 2B). Moreover, results obtained in an anchorage-independent growth assay showed the ability of miR-550a-3p to significantly reduce the clonogenic potential of STO and MP8 cells (p < 0.001) (Fig. 2C). The antiproliferative effects of miR-550a-3p were paralleled by the induction of a marked apoptotic response in both cell lines, as indicated by the enhanced percentage of TUNEL-positive cells compared to cells transfected with the miRNA negative control (p < 0.05) (Fig. 2D), as well as by the presence of the cleaved forms of caspase-3 and caspase-9 (Fig. 2E). Interestingly, miR-550a-3p was also able to significantly reduce the invasive capabilities of DMPM cells in a matrigel-based assay (p < 0.001) (Fig. 2F). The proapoptotic effects of miR-550a-3p reconstitution were observed also in MP115 cells (Supplementary Fig. S2).
To assess whether the tumor-suppressive functions of miR-550a-3p could be extended to models of tumor types other than DMPM, we ectopically expressed miR-550a-3p in two ovarian cancer (IGROV-1 and its platinum-resistant derivative IGROV-1/Pt1) and two prostate cancer (DU145 and PC3) cell lines (Fig. 3A, p < 0.05). miR-550a-3p overexpression was found to inhibit cell growth in all cell lines, although to a variable extent and with different kinetics (Fig. 3B), and to induce an apoptotic response, as detected by the increase in the percentage of TUNEL-positive cells (p < 0.05) (Fig. 3C and Supplementary Fig. S2) and/or the presence of the cleaved form of caspase-3 (Fig. 3D).
miR-550a-3p impairs DMPM growth in a xenograft model
The in vitro tumor growth inhibitory effect of miR-550a-3p was challenged in the in vivo setting by subcutaneously transplanting STO cells transiently transfected with the miRNA mimic and the negative control into nude mice to generate xenografts. No differences were appreciable in the tumor take rate, which was 100% in both experimental groups. However, the growth of tumors originating from miR-550a-3p overexpressing cells was significantly delayed compared to those arising from control cells throughout the experiment (p = 0.02) (Fig. 4A, B), with a maximum tumor volume inhibition of 59% recorded at 19 days after cell inoculum. In light of the in vitro results, such a growth delay might be ascribed to reduced cell proliferation (Fig. 2B, C) and limited local invasive capabilities (Fig. 2F) of miR-550a-3p overexpressing cells.
HSP90AA1 is a functional target of miR-550a-3p
In the search for molecular determinants through which miR-550a-3p affects proliferation, apoptosis, and invasion, we conducted an in silico target prediction analysis by using the miRWalk2.0 tool [29]. The 220 predicted targets were then crossed with the 123 genes found to be downregulated in STO cells following miR-550a-3p ectopic expression, which we identified by comparatively evaluating gene expression profiles of miR-550a-3p overexpressing and negative control cells (GSE165341) (Fig. 5A and Supplementary Table 1). The resulting intersection included six genes, which are listed in Fig. 5B. Among them, we focused on the heat shock protein 90 alpha family class A member 1 (HSP90AA1) gene coding for the heat shock protein 90 alpha (Hsp90α), the stress-inducible isoform of the molecular chaperone Hsp90, which interacts and supports numerous proteins that promote oncogenesis and is associated with each hallmark of cancer [30]. One 7mer-m8 site (intended as having an exact match to positions 2–8 of the mature miRNA, including the seed and position 8) complementary to miR-550a-3p is actually evident in position from 247 to 253 of HSP90AA1 3’UTR (Fig. 5C). To functionally address this point, a target protection approach was pursued. Specifically, IGROV-1/Pt1 cells overexpressing miR-550a-3p were transfected with a miR-Mask, a custom oligonucleotide designed to be fully complementary to miR-550a-3p binding site within HSP90AA1 3’UTR, to assess whether the disruption of miRNA-target interaction could abolish the miR-550a-3p-mediated repression of HSP90AA1 mRNA. Notably, the miR-Mask was able to completely restore HSP90AA1 transcript levels, thus confirming HSP90AA1 as a direct target of the miRNA (Fig. 5D).
Ectopic expression of miR550a-3p in DMPM, ovarian cancer, and prostate cancer cell lines consistently decreased HSP90AA1 expression at both mRNA and protein levels (Fig. 6A,B). In addition, miR-550a-3p overexpression caused a decline in the abundance of HSP90 client proteins (Raf-1, Akt) and co-chaperons (Cdc37) (Fig. 6B). Interestingly, consistent with what was observed with HSP90 inhibitors, such as 17-(allylamino)-17-demethoxygeldanamycin [31, 32], miR-550a-3p induced opposing effects on wild-type and mutant p53. Specifically, p53 was upregulated in wild-type p53-expressing cell lines (STO and IGROV-1) and downregulated in mutant p53 tumor cells (MP8, IGROV-1/Pt1, and DU145) (Fig. 6C).
Finally, to prove that the oncosuppressive effects induced by miR-550a-3p are mediated by direct targeting of HSP90AA1, STO, and IGROV-1/Pt1 cells were co-transfected with the miR-550a-3p mimic and the miR-Mask. The presence of miR-Mask was able to almost completely restore HSP90 alpha protein expression levels (Fig. 6D), and also partially prevented Raf-1 downregulation by miR-550a-3p in both cell lines (Fig. 6D). Moreover, the rescue of HSP90 alpha protein expression by the miRNA-Mask reduced the antiproliferative (p < 0.05) (Fig. 6E) and proapoptotic effects (p < 0.05) (Fig. 6F) induced by miR-550a-3p.
Collectively, these results suggest that miR-550a-3p directly targets HSP90AA1 and that the observed tumor-suppressive effects caused by miRNA ectopic expression are mediated, at least in part, by the interference with the HSP90 alpha-client protein axis.
Discussion
Compelling evidence about the functional involvement of miRNAs in cancer onset and progression has emerged from a huge amount of studies carried out on experimental models and clinical samples of a variety of human tumor types. However, concerning malignant mesothelioma, almost all available information has been generated on the pleural variant, and only a couple of studies dealt with DMPM [33]. Specifically, El Bezawy et al. [14] showed that miR-34a is downregulated in DMPM clinical specimens and cell lines. Moreover, miR-34a reconstitution in DMPM cells was found to inhibit proliferation and tumorigenicity, to induce an apoptotic response, and to decline invasion ability, mainly through the downregulation of its targets c-MET and AXL and the interference with the activation of downstream signaling. Cimino-Reale et al. [15] showed that the ectopic expression of miR-380-5p, a miRNA negligibly expressed in telomerase-positive DMPM clinical specimens, negatively interferes with telomerase activity and growth of DMPM cell lines by targeting the telomerase associated protein 1.
In this study, we demonstrated that miR-550a-3p is downregulated in DMPM clinical samples and cell lines, and that its expression levels are inversely associated with patients’ outcomes, thus suggesting a possible oncosuppressive role of the miRNA in the disease. Consistently, functional experiments revealed that miR-550a-3p ectopic expression in DMPM cells impairs proliferation and invasiveness, enhances apoptosis, and reduces the growth of xenografts in mice. Interestingly, we also observed antiproliferative and proapoptotic effects following miR-550a-3p ectopic expression in prostate cancer and ovarian cancer cell lines, thus suggesting that the miRNA is endowed with tumor-suppressive functions also in these tumor types.
By crossing in silico predicted targets and genes found to be downregulated in DMPM cells following miR-550a-3p ectopic expression, we identified and focused on HSP90AA1 as a direct target through which the miRNA exerts, at least in part, its oncosuppressive functions. Indeed, HSP90AA1 is the gene coding for HSP90 alpha, the stress-inducible isoform of HSP90 belonging to the family of molecular chaperones that have a key role in the stabilization of oncogenic proteins, such as Raf-1, ErbB2, Akt, and mutant p53, thus promoting survival of cancer cells [34]. The involvement of HSP90 in all of the hallmarks of cancer supports the functional role of HSP90 alpha in the pleiotropic effects induced by miR-550a-3p reconstitution in tumor cells. Chaperone signaling pathways are dysregulated in a wide range of tumors [35]. Recent studies reported that HSP90AA1 expression levels are upregulated in tissue and plasma of several cancers and correlated with poor prognosis [36,37,38]. As a consequence of HSP90AA1 inhibition, the reconstitution of miR-550a-3p resulted in the degradation of HSP90 client proteins, including Raf-1 and Akt. The involvement of HSP90 was also supported by a different p53 modulation upon miR-550a-3p reconstitution in our cellular models. Specifically, p53 was upregulated in wild-type p53-expressing cell lines (STO and IGROV-1 cells) and downregulated in mutant p53 tumor cells (MP8, IGROV-1/Pt1, and DU145 cells). These p53 status-dependent modulations have been previously described after treatment of cancer cells with HSP90 inhibitors, i.e., geldanamycin [31, 32], and are consistent with the cytotoxic and proapoptotic effects we observed in all our cell models. Akt and Raf-1 kinases play an important role in the control of pathways that regulate proliferation and apoptosis. The inhibition of functional HSP90 could coordinately block the transduction of growth factor signaling via the Akt and Raf-1 pathways. Indeed, Jones et al. previously reported that the depletion of Akt and Raf-1 tyrosine kinases after HSP90 inhibition resulted in apoptotic cell death as a consequence of the loss of prosurvival signals [39]. Moreover, the depletion of cdc37, an intracellular cofactor of HSP90, following miR-550a-3p reconstitution may further contribute to the disruption of the HSP90 chaperone machinery by impairing the association of client proteins and preventing protein maturation. Such blockage has been previously described to suppress multiple pathways and to induce growth inhibition in human cancer cells [40, 41]. Consistent with an oncosuppressive role of miR-550a-3p, Ho et al. [38] previously reported that the miRNA was downregulated in breast cancer clinical samples and cell lines, and that its ectopic expression in breast cancer cells impaired proliferation, invasion, and migration as well as tumorigenesis in a xenograft mouse model. Conversely, Yang et al. [42] showed that the miR-550a-3p was upregulated in non-small cell lung cancer (NSCLC) tissues compared to surrounding normal tissues, and that forced overexpression of the miRNA in NSCLC cells promoted proliferation, invasion, and migration through the inhibition of TIMP2. Xiong et al. [43] reported that miR-550a-3p was one of the most upregulated miRNAs in plasma extracellular vesicles from melanoma patients compared to healthy individuals, and that a signature consisting of high expression levels of miR-550a-3p, CDK2, and POLR2A and low expression levels of miR-150-5p was associated with reduced overall survival of melanoma patients. Again, by analyzing TCGA miRNA expression profiles of hepatocellular carcinoma, Qin et al. [44, 45] showed that high miR-550-3p expression levels were associated with reduced progression-free survival.
The finding that miR-550a-3p displays opposite roles in different human tumor types is not surprising since miRNAs have been acknowledged to exert either tumor-suppressive or oncogenic functions depending on their expression levels, cell/tissue context, and availability of target genes [12]. This notion reinforces the necessity of a detailed understanding of the functions exerted by a specific miRNA and the precise identification of its key targets relevant to the disease of interest in view of its possible exploitation as a novel target/tool for anticancer therapy.
In conclusion, due to the inherent resistance of DMPM to chemotherapy and the lack of alternative effective treatments for patients who are not suitable for or fail after CRS + HIPEC, novel miRNA-based therapeutic approaches are highly desirable. Preclinical data generated in the present study form a solid foundation for promoting the clinical use of a miR-550a-3p-based approach as a novel therapeutic strategy to be pursued for DMPM and potentially extended to other more frequent tumor types, such as prostate and ovarian cancers.
miRNA mimics and inhibitors already entered the clinical therapeutic armamentarium in oncology. However, the number of clinical studies with miRNA modulators carried out so far is still limited. The first miRNA-based compound entering a phase I study in patients with advanced solid tumors was MRX34, a miR-34a mimic encapsulated in lipid nanoparticles, showing evidence of activity in a subset of patients. However, the study was closed early due to serious immune-mediated adverse events [46]. The activity of a miR-16 mimic delivered by bacterial minicells targeted to EGFR (TargomiRs) was then evaluated in a phase 1 study of patients with recurrent malignant pleural mesothelioma, showing a partial response in one out of 22 evaluable patients [47, 48]. Moreover, a locked nucleic acid-modified oligonucleotide inhibitor of miR-155 (Cobomarsen, MRG-106) is currently under clinical investigation in patients with cutaneous T-cell lymphoma [49].
A major constraint towards a concrete application of miRNA-based strategies to human cancer therapy is related to the need for safe and efficient delivery. Although several approaches have been tested, including lipid carriers, oligonucleotides with different chemical modifications, viral vectors, and, more recently, extracellular vesicles, strong in vivo evidence for improved efficiency and limited toxicity is still lacking. Dosage concerns and off-target effects also remain major challenges to be overcome for the clinical development of miRNA-based therapies as well as the need for an improvement of currently available information concerning pharmacokinetics of miRNA mimics and inhibitors [50]. Moreover, it must be considered that, as anticancer drugs, also miRNA-based therapeutics might activate resistance mechanisms. In this context, El Bezawy et al. [14] provided evidence of a cytoprotective mechanism against miR-34a reconstitution in DMPM cells through the persistent activation of ERK1/2 and Akt signaling.
Data availability
All data generated and/or analyzed during this study are included in this article and its supplementary information files.
References
García-Fadrique A, Mehta A, Mohamed F, Dayal S, Cecil T, Moran BJ. Clinical presentation, diagnosis, classification and management of peritoneal mesothelioma: a review. J Gastrointest Oncol. 2017;8:915–24. https://doi.org/10.21037/jgo.2017.08.01
Alexander HR Jr, Li CY, Kennedy TJ. Current management and future opportunities for peritoneal metastases: peritoneal mesothelioma. Ann Surg Oncol. 2018;25:2159–64. https://doi.org/10.1245/s10434-018-6337-5
Kaya H, Sezgı C, Tanrıkulu AC, Taylan M, Abakay O, Sen HS, et al. Prognostic factors influencing survival in 35 patients with malignant peritoneal mesothelioma. Neoplasma. 2014;61:433–8. https://doi.org/10.4149/neo_2014_053
Alexander HR Jr, Bartlett DL, Pingpank JF, Libutti SK, Royal R, Hughes MS, et al. Treatment factors associated with long-term survival after cytoreductive surgery and regional chemotherapy for patients with malignant peritoneal mesothelioma. Surgery. 2013;153:779–86. https://doi.org/10.1016/j.surg.2013.01.001
Helm JH, Miura JT, Glenn JA, Marcus RK, Larrieux G, Jayakrishnan TT, et al. Cytoreductive surgery and hyperthermic intraperitoneal chemotherapy for malignant peritoneal mesothelioma: a systematic review and meta-analysis. Ann Surg Oncol. 2015;22:1686–93. https://doi.org/10.1245/s10434-014-3978-x.
Baratti D, Kusamura S, Cabras AD, Bertulli R, Hutanu I, Deraco M. Diffuse malignant peritoneal mesothelioma: long-term survival with complete cytoreductive surgery followed by hyperthermic intraperitoneal chemotherapy (HIPEC). Eur J Cancer. 2013;49:3140–8. https://doi.org/10.1016/j.ejca.2013.05.027
Shrestha R, Nabavi N, Lin YY, Mo F, Anderson S, Volik S, et al. BAP1 haploinsufficiency predicts a distinct immunogenic class of malignant peritoneal mesothelioma. Genome Med. 2019;11:8 https://doi.org/10.1186/s13073-019-0620-3.
Joseph NM, Chen YY, Nasr A, Yeh I, Talevich E, Onodera C, et al. Genomic profiling of malignant peritoneal mesothelioma reveals recurrent alterations in epigenetic regulatory genes BAP1, SETD2, and DDX3X. Mod Pathol. 2017;30:246–54. https://doi.org/10.1038/modpathol.2016.188.
Hung YP, Dong F, Watkins JC, Nardi V, Bueno R, Dal Cin P, et al. Identification of ALK rearrangements in malignant peritoneal mesothelioma. JAMA Oncol. 2018;4:235–8. https://doi.org/10.1001/jamaoncol.2017.2918.
Kozomara A, Birgaoanu M, Griffiths-Jones S. miRBase: from microRNA sequences to function. Nucleic Acids Res. 2019;47:D155–D162. https://doi.org/10.1093/nar/gky1141.
Fabian MR, Sonenberg N, Filipowicz W. Regulation of mRNA translation and stability by microRNAs. Annu Rev Biochem. 2010;79:351–79. https://doi.org/10.1146/annurev-biochem-060308-103103. Review. PubMed PMID: 20533884
Zhang B, Pan X, Cobb GP, Anderson TA. microRNAs as oncogenes and tumor suppressors. Dev Biol. 2007;302:1–12. https://doi.org/10.1016/j.ydbio.2006.08.028
Fortunato O, Iorio MV. The therapeutic potential of microRNAs in cancer: illusion or opportunity?. Pharmaceuticals (Basel). 2020. https://doi.org/10.3390/ph13120438.
El Bezawy R, De Cesare M, Pennati M, Deraco M, Gandellini P, Zuco V, et al. Antitumor activity of miR-34a in peritoneal mesothelioma relies on c-MET and AXL inhibition: persistent activation of ERK and AKT signaling as a possible cytoprotective mechanism. J Hematol Oncol. 2017;10:19 https://doi.org/10.1186/s13045-016-0387-6
Cimino-Reale G, Gandellini P, Santambrogio F, Recagni M, Zaffaroni N, Folini M. miR-380-5p-mediated repression of TEP1 and TSPYL5 interferes with telomerase activity and favours the emergence of an “ALT-like” phenotype in diffuse malignant peritoneal mesothelioma cells. J Hematol Oncol. 2017;10:140 https://doi.org/10.1186/s13045-017-0510-3
De Cesare M, Cominetti D, Doldi V, Lopergolo A, Deraco M, Gandellini P, et al. Anti-tumor activity of selective inhibitors of XPO1/CRM1-mediated nuclear export in diffuse malignant peritoneal mesothelioma: the role of survivin. Oncotarget. 2015;6:13119–32. https://doi.org/10.18632/oncotarget.3761
De Cesare M, Sfondrini L, Pennati M, De Marco C, Motta V, Tagliabue E, et al. CpG-oligodeoxynucleotides exert remarkable antitumor activity against diffuse malignant peritoneal mesothelioma orthotopic xenografts. J Transl Med. 2016;14:25 https://doi.org/10.1186/s12967-016-0781-4.
Spanò V, Pennati M, Parrino B, Carbone A, Montalbano A, Cilibrasi V, et al. Preclinical activity of new [1,2]oxazolo[5,4-e]isoindole derivatives in diffuse malignant peritoneal mesothelioma. J Med Chem. 2016;59:7223–38. https://doi.org/10.1021/acs.jmedchem.6b00777
Perego P, Romanelli S, Carenini N, Magnani I, Leone R, Bonetti A, et al. Ovarian cancer cisplatin-resistant cell lines: multiple changes including collateral sensitivity to Taxol. Ann Oncol. 1998;9:423–30. https://doi.org/10.1023/a:1008265012435
Perego P, Giarola M, Righetti SC, Supino R, Caserini C, Delia D, et al. Association between cisplatin resistance and mutation of p53 gene and reduced bax expression in ovarian carcinoma cell systems. Cancer Res. 1996;56:556–62.
Cuccuru G, Lanzi C, Cassinelli G, Pratesi G, Tortoreto M, Petrangolini G, et al. Cellular effects and antitumor activity of RET inhibitor RPI-1 on MEN2A-associated medullary thyroid carcinoma. J Natl Cancer Inst. 2004;96:1006–14. https://doi.org/10.1093/jnci/djh184
Zuco V, Supino R, Favini E, Tortoreto M, Cincinelli R, Croce AC, et al. Efficacy of ST1968 (namitecan) on a topotecan-resistant squamous cell carcinoma. Biochem Pharmacol. 2010;79:535–41. https://doi.org/10.1016/j.bcp.2009.09.012
Du P, Kibbe WA, Lin SM. lumi: a pipeline for processing Illumina microarray. Bioinformatics. 2008;24:1547–8. https://doi.org/10.1093/bioinformatics/btn224
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5:R80 https://doi.org/10.1186/gb-2004-5-10-r80
Smyth GK. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004;3:Article3 https://doi.org/10.2202/1544-6115.1027
Hollander M, Wolfe DA. Nonparametric Statistical Methods. 2nd edition, NewYork: John Wiley & Sons, 1999.
Cox DR. Regression models and life tables (with discussion). JR Stat Soc B. 1972;34:187–220.
Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Statis Assn. 1958;53:457–81.
Agarwal V, Bell GW, Nam JW, Bartel DP. Predicting effective microRNA target sites in mammalian mRNAs. elife. 2015. https://doi.org/10.7554/eLife.05005.
Zuehlke AD, Beebe K, Neckers L, Prince T. Regulation and function of the human HSP90AA1 gene. Gene. 2015;570:8–16. https://doi.org/10.1016/j.gene.2015.06.018
Lin K, Rockliffe N, Johnson GG, Sherrington PD, Pettitt AR. Hsp90 inhibition has opposing effects on wild-type and mutant p53 and induces p21 expression and cytotoxicity irrespective of p53/ATM status in chronic lymphocytic leukaemia cells. Oncogene. 2008;27:2445–55. https://doi.org/10.1038/sj.onc.1210893
Li D, Marchenko ND, Schulz R, Fischer V, Velasco-Hernandez T, Talos F, et al. Functional inactivation of endogenous MDM2 and CHIP by HSP90 causes aberrant stabilization of mutant p53 in human cancer cells. Mol Cancer Res. 2011;9:577–88. https://doi.org/10.1158/1541-7786.MCR-10-0534
Gandhi M, Nair S. New vistas in malignant mesothelioma: microRNA architecture and NRF2/MAPK signal transduction. Life Sci. 2020;257:118123 https://doi.org/10.1016/j.lfs.2020.118123
Lianos GD, Alexiou GA, Mangano A, Mangano A, Rausei S, Boni L, et al. The role of heat shock proteins in cancer. Cancer Lett. 2015;360:114–8. https://doi.org/10.1016/j.canlet.2015.02.026
Calderwood SK, Khaleque MA, Sawyer DB, Ciocca DR. Heat shock proteins in cancer: chaperones of tumorigenesis. Trends Biochem Sci. 2006;31:164–72. https://doi.org/10.1016/j.tibs.2006.01.006
Liu H, Zhang Z, Huang Y, Wei W, Ning S, Li J, et al. Plasma HSP90AA1 predicts the risk of breast cancer onset and distant metastasis. Front Cell Dev Biol. 2021;9:639596 https://doi.org/10.3389/fcell.2021.639596
Chen W, Li G, Peng J, Dai W, Su Q, He Y. Transcriptomic analysis reveals that heat shock protein 90α is a potential diagnostic and prognostic biomarker for cancer. Eur J Cancer Prev. 2020;29:357–64. https://doi.org/10.1097/CEJ.0000000000000549
Fan G, Tu Y, Wu N, Xiao H. The expression profiles and prognostic values of HSPs family members in Head and neck cancer. Cancer Cell Int. 2020;20:220 https://doi.org/10.1186/s12935-020-01296-7
Jones DT, Addison E, North JM, Lowdell MW, Hoffbrand AV, et al. Geldanamycin and herbimycin A induce apoptotic killing of B chronic lymphocytic leukemia cells and augment the cells’ sensitivity to cytotoxic drugs. Blood. 2004a;103:1855–61. https://doi.org/10.1093/carcin/bgi289
Phillip J, Gray MaryAnnStevenson Jr, Stuart KCalderwood. Targeting Cdc37 inhibits multiple signaling pathways and induces growth arrest in prostate cancer cells. Cancer Res. 2007;67:11942–50. https://doi.org/10.1158/0008-5472.CAN-07-3162
Wang L, Zhang L, Li L, Jiang J, Zheng Z, Shang J, et al. Small-molecule inhibitor targeting the Hsp90-Cdc37 protein-protein interaction in colorectal cancer. Sci Adv. 2019. https://doi.org/10.1126/sciadv.aax2277
Ho JY, Hsu RJ, Wu CH, Liao GS, Gao HW, Wang TH, et al. Reduced miR-550a-3p leads to breast cancer initiation, growth, and metastasis by increasing levels of ERK1 and 2. Oncotarget. 2016;7:53853–68. https://doi.org/10.18632/oncotarget.10793
Yang JZ, Bian L, Hou JG, Wang HY. MiR-550a-3p promotes non-small cell lung cancer cell proliferation and metastasis through down-regulating TIMP2. Eur Rev Med Pharmacol Sci. 2018;22:4156–65. https://doi.org/10.26355/eurrev_201807_15408
Xiong J, Xue Y, Xia Y, Zhao J, Wang Y. Identification of key microRNAs of plasma extracellular vesicles and their diagnostic and prognostic significance in melanoma. Open Med (Wars). 2020;15:464–82. https://doi.org/10.1515/med-2020-0111
Qin L, Huang J, Wang G, Huang J, Wu X, Li J, et al. Integrated analysis of clinical significance and functional involvement of microRNAs in hepatocellular carcinoma. J Cell Physiol. 2019;234:23581–95. https://doi.org/10.1002/jcp.28927
Hong DS, Kang YK, Borad M, Sachdev J, Ejadi S, Lim HY, et al. Phase 1 study of MRX34, a liposomal miR-34a mimic, in patients with advanced solid tumours. Br J Cancer. 2020;122:1630–7. https://doi.org/10.1038/s41416-020-0802-1
Viteri S, Rosell R. An innovative mesothelioma treatment based on miR-16 mimic loaded EGFR targeted minicells (TargomiRs). Transl Lung Cancer Res. 2018;7:S1–S4. https://doi.org/10.21037/tlcr.2017.12.01
van Zandwijk N, Pavlakis N, Kao SC, Linton A, Boyer MJ, Clarke S, 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;18:1386–96. https://doi.org/10.1016/S1470-2045(17)30621-6
Witten L, Slack FJ. miR-155 as a novel clinical target for hematological malignancies. Carcinogenesis. 2020;41:2–7. https://doi.org/10.1093/carcin/bgz183
Reda El Sayed S, Cristante J, Guyon L, Denis J, Chabre O, et al. MicroRNA therapeutics in cancer: current advances and challenges. Cancers (Basel). 2021;29:13 https://doi.org/10.3390/cancers13112680
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This work was supported by grants from the Associazione Italiana per la Ricerca sul Cancro (AIRC-IG:11669 to NZ) and Mesothelioma Applied Research Foundation (to NZ).
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Conceptualization: PG, VZ, NZ; Methodology: REB, VZ; Investigation: REB, MDC, GC, VD, SM, DB, SK, MD, VZ; Data curation: SP, CMC, MD, SV, PV; Formal analysis: SP, CMC, PV; Writing—original draft: CMC, VD, PV, PG, NZ, VZ; Writing—revised manuscript: CMC, VD, PV, PG, NZ, VZ; Funding acquisition: NZ. All authors have read and approved the final submitted manuscript.
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The use of the patient samples and information was approved by the Institutional Review Board of INT. Written informed consent was obtained from all patients to donate the leftover tissue to INT after diagnostic and clinical procedures. Animal experiments were approved by the Ethics Committee for Animal Experimentation of INT, authorized by the Italian Ministry of Health according to the national law (Project approval code: 1120/2015-PR), and performed in compliance with international policies and guidelines.
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El Bezawy, R., Percio, S., Ciniselli, C.M. et al. miR-550a-3p is a prognostic biomarker and exerts tumor-suppressive functions by targeting HSP90AA1 in diffuse malignant peritoneal mesothelioma. Cancer Gene Ther 29, 1394–1404 (2022). https://doi.org/10.1038/s41417-022-00460-7
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DOI: https://doi.org/10.1038/s41417-022-00460-7