Low tissue levels of miR-125b predict malignancy in solitary fibrous tumors of the pleura
- Matthias Brock†1,
- Selma Hottinger†1,
- Matthias Diebold1,
- Alex Soltermann2,
- Wolfram Jochum3,
- Malcolm Kohler1,
- Lars C. Huber1 and
- Daniel P. Franzen1Email author
© The Author(s). 2017
Received: 24 November 2016
Accepted: 24 February 2017
Published: 2 March 2017
Solitary fibrous tumors of the pleura (SFTP) are rare neoplasia of the chest. A subset of SFTP follows a malignant course, sometimes several years after complete resection. Traditional scoring systems based on clinical and histological features are poor predictors of biological behavior. This study aimed to investigate tumor-associated miRNAs expression as novel biomarkers to predict the clinical behavior of SFTP.
Formalin-fixed and paraffin-embedded SFTP tissues blocks from patients surgically resected between 1992 and 2013 at two tertiary care teaching hospitals were included. SFTP tumors were categorized as either malignant or benign variants according to the WHO classification. Following miRNAs levels were measured: let-7a, miR-16b, miR-17, miR-21, miR-31, miR-34a, miR-92a, miR-125a, miR-125b, miR-195-5b, miR-203a, and miR-223. Differential gene expressions which were calculated with the threshold cycle (Ct) method were compared among the two variants.
Thirty-eight patients (40% male, mean age 62.2 (±10.9) years) were included. Expression levels of miR-125b showed a significant difference between benign compared to malignant variants (−3.08 ± 0.93 vs. -2.22 ± 1.36, p = 0.0068). Furthermore, lower levels of miR-125b were found to be associated with increased tumor size (p = 0.0414). Thus, downregulation of miR-125b indicates malignant transformation. All other investigated miRNAs were not associated with grading of SFTP.
Our data suggest a potential role of miR-125b in the pathogenesis of tumor growth and malignant transformation of SFTP, respectively. Further studies have to address the potential use of miRNA-125b as a biomarker or therapeutic target in SFTP.
KeywordsmicroRNA Solitary fibrous tumor Pleura Biomarker
Solitary fibrous tumors of the pleura (SFTP) are rare neoplasia within the chest cavity with an estimated incidence of approximately 0.2/100’000 persons per year , and account for 5% of all pleural tumors . Beside the preferred occurrence in the pleura diverse anatomical locations of solitary fibrous tumors have been reported [3, 4]. Historically, SFTP were denominated as “localized mesothelioma” reflecting the lack of consensus with respect to pathogenesis and biological behavior of these tumors . Nowadays, SFTP have been shown to arise from mesenchymal cells and, as such, express immuno-histochemical markers including vimentin and CD34 [6, 7]. The majority of SFTP follow a benign course with a high cure rate after complete surgical resection [8, 9]. However, malignant variants with a high risk of local recurrence, metastases, and increased mortality are found in 7–60% [9–11]. In addition, some SFTP which were initially assessed to follow a benign course may transform into malignant variants, sometimes several years after R0-resection [12, 13]. Therefore, characteristics that distinguish benign from malignant variants are crucial for estimating the risk of an adverse outcome, and planning adjuvant therapies and adequate follow-up examinations .
England et al. were the first to describe six clinico-pathologic features predicting a malignant behavior. These risk factors included tumor size, localization, sessile tumor, existence of necrosis or hemorrhage, high mitoses count, and evidence of nuclear pleomorphism . More recently, a staging system based on tumor seating and on the above mentioned features have been proposed in order to improve identification of malignant variants . However, several multivariable models identified these characteristics which are based exclusively on clinico-pathologic features as poor predictors for the biological behavior of SFTP [15–17]. Yet, there is insufficient data on immune-histochemical and molecular markers predicting the outcome of SFTP.
MiRNAs are small non-coding RNA fragments of 20–22 nucleotides in length that are commonly associated with gene silencing. Since there is growing evidence that miRNAs might be of major interest in the diagnosis and prognosis of different diseases including lung cancer  and mesothelioma , this study aimed to investigate the role of miRNAs as biomarkers to predict the clinical behavior of SFTP.
Patients and sample collection
Consecutive patients undergoing surgical resection of SFTP between 1992 and 2013 at two tertiary care teaching hospitals and with a follow up of at least one month were eligible for the study. The diagnosis of SFTP was made by the Departments of Pathology of either of these institutions, based on the typical morphologic and immuno-histochemical features . Patient data on demographics, clinical presentation, radiologic features and surgical treatment as well as follow-up data were extracted from medical records and, if required, obtained from the patients’ general practitioners. Formalin-fixed and paraffin-embedded (FFPE) tissue blocks of all tumors were collected, and a representative slide was cut and reviewed by a dedicated pulmonary pathologist (A.S.). Patients with wrong diagnosis of SFTP or missing FFPE tissue block were excluded from the study. According to the WHO classification , the tumor samples were allocated to either malignant or benign variants. Thus, the presence of more than one feature of the traditional classification system proposed by England et al. , including tumor size greater 10 cm, atypical localization, sessile morphology, existence of necrosis or hemorrhage, more than four mitoses per 10 HPF and nuclear polymorphism were used to define malignant SFTP.
Total RNA including miRNAs was purified from FFPE lung tissue slides using the miRCURY RNA Isolation Kit (Exiqon, Vedbaek, Denmark) as recommended by the manufacturer. Briefly, human lung tissue was scraped off from FFPE tissue slides (four slides of 10 μm from each patient) with a scalpel and placed in Eppendorf tubes. To remove paraffin from the sections, paraffin dissolver was added. Next, samples were centrifuged and the supernatant was removed without disturbing the pellet. Then Proteinase K was added followed by an incubation step for 30 min at 56 °C. After addition of precipitation buffer, the samples were incubated for five minutes on ice. Next, samples were centrifuged before the supernatant was transferred to a new tube and incubated for another 15 min at 80 °C. To adjust binding conditions, binding buffer was added and incubated for 1 min. Each sample was loaded on a column to bind the RNA to the column. The samples were passed through a filter cartridge, centrifuged and the flow through was discarded. After addition of wash buffer to each column, the samples were again centrifuged. As a following step, DNA was digested by the addition of DNase I mix to the center of each filter and incubated for 15 min before washed twice. This step was necessary to remove DNA that would otherwise interfere with miRNA quantification. Next, RNase-free water was applied to the center of each filter and the RNA containing samples were centrifuged to pass the mixture through the filter. The eluted RNA was then analyzed for miRNA expression or stored at −80 °C.
Selection and quantification of mature miRNAs
Protein targets and corresponding miRNAs
Verification by qPCR
Rask et al. 
Hou et al. 
p16 or p53
Akaike et al. 
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Toledo et. 
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Guled et al. 
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Chung et al. 
5’ - GAG GTA TTC GCA CTG GAT AC - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACG GTC AG - 3’
5’ - CCA TGA GTG TGT CGC TGA TG - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACA ATC AG - 3’
5’ - AAG CGA TAA CTG ACG AAG ACT AC - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACA ACT AT - 3’
5’- CGG TGA GGT AGT AGG TTG TAT - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACC GCC AA - 3’
5’- CCT AGC AGC ACG TAA ATA TTG G - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACC TAC CT - 3’
5’ - GCG GCA AAG TGC TTA CAG TG - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACT CAA CA - 3’
5’ - GCC CGC TAG CTT ATC AGA CTG ATG - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACA GCT AT - 3’
5’- CAG GCA AGA TGC TGG CAT AG - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACA CAA CC - 3’
5’ - TGG CAG TGT CTT AGC TGG TTG – 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACA CAG GC - 3’
5’ - CCC TAT TGC ACT TGT CCC G - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACT CAC AG - 3’
5’ - TCC CTG AGA CCC TTT AAC C - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACT CAC AA - 3’
5’- CTC CCT GAG ACC CTA ACT TG - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACG CCA AT - 3’
5’- GGT AGC AGC ACA GAA ATA TTG G - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACC TAG TG - 3’
5’- CCG TGA AAT GTT TAG GAC CAC - 3’
5’ - GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACT GGG GT - 3’
5’- CCC TGT CAG TTT GTC AAA TAC C- 3’
All data are presented as mean ± standard deviation (SD). Parametric or non-parametric distribution of data was determined using the Kolmogorov-Smirnov test. Data comparison between malignant and benign SFTP variants were performed using independent, two-tailed Student’s t-test for parametric distribution as well as Mann–Whitney U test for nonparametric distribution. Nominal data were compared using the Fisher’s exact test. Correlation analysis was carried out with Pearson’s calculations. Values with a p < 0.05 were considered to be statistically significant (*p < 0.05, **p < 0.01, ***p < 0.001). All statistical calculations were performed using the software package GraphPad Prism Version 5.0 (GraphPad Software, San Diego, CA, USA).
Patient characteristics and features of solitary fibrous tumors of the pleura, n = 38
All, n = 38
Malignant, n = 16
Benign, n = 22
Necrosis or hemorrhage
Tumor size, cm
Mitoses, n per HPF
>4 mitoses per HPF
Detection and quantification of miRNAs in SFTP
Expression levels of miRNAs in SFTP
Ct values in benign SFTP
Ct values in malignant SFTP
−1.24 ± 0.79
−1.42 ± 1.33
−4.62 ± 0.67
−4.43 ± 1.14
0.7 ± 0.78
0.77 ± 1.16
−0.93 ± 0.97
−1.61 ± 1.75
8.61 ± 0.91
7.89 ± 2.37
1.05 ± 0.83
1.1 ± 1.32
1.06 ± 0.53
1.16 ± 0.86
1.18 ± 0.56
0.99 ± 0.78
−3.08 ± 0.93
−2.22 ± 1.36
−1.9 ± 0.66
−1.66 ± 1.08
8.45 ± 1.94
8.91 ± 2.62
0.99 ± 1.21
0.63 ± 1.57
Levels of miR-125b
In this translational study, we addressed the pattern and expression levels of miRNAs in SFTP and found that i) reduced levels of miR-125b are indicative of malignant transformation of SFTP and, ii), lower expression of miR-125b was inversely correlated with tumor size.
The challenge of diagnosis and staging of SFTP is the prediction of biological behavior. The majority of SFTP follow a benign course, but a considerable high proportion of these tumors may present with an aggressive behavior including distant metastases or recurrence, sometimes several years after complete resection [9–13, 22, 23]. For this reason, several scoring systems have been introduced which are originally based on six pathological features proposed by England et al. [9, 14]. However, multivariable models identified these features as poor predictors for the biological behavior of SFTP [15–17]. And, clinical parameters do not seem to have sufficient discriminative power to predict the outcome of SFTP . Thus, investigation on immuno-histochemical and molecular markers is needed to characterize SFTP and their outcome more accurately. For example, high p53 expression has been shown to be associated with adverse outcome of SFTP [15, 24]. Recently, we found that Ki-67 labeling index (MIB-1), an immuno-histochemical marker of proliferation, is a promising predictor for an adverse outcome in SFTP . Due to its role in ribosomal RNA transcription , the Ki-67 antigen is of special interest in the context of non-coding RNAs profiling. These small RNA fragments have emerged as important gene regulators and it is estimated that more than 50% of the human genome are controlled by non-coding RNAs . Within the group of non-coding RNAs, miRNAs are the best-characterized to date . As such, miRNAs have been implicated in the pathogenesis of disease and as biomarkers for diagnosis and prognosis. Of interest, miRNAs have distinct properties that make them interesting biomarker candidates including stability and standardized quantification within tissues and biofluids .
Here we employed a screening approach and assessed the expression levels of selected miRNAs in clinically well-characterized samples of SFTP. Isolation and quantification of miRNAs was performed in formalin-fixed and paraffin-embedded (FFPE) tissue blocks. This method has been described before [29, 30] and was recently confirmed as a feasible technology by our own work using lung tissue slides . These data, together with the results provided here, highlight both the reliability and the reproducibility by which miRNAs are isolated and quantified from FFPE.
Of interest, out of a panel of selected miRNAs that have previously been associated with lung cancer , only the expression of miR-125b was found to be significantly altered when benign and malignant variants of SFTP were compared. miR-125b has been identified as an important oncomir  that is dysregulated in many different types of cancers including breast cancer , hepatocellular and cologastric carcinoma  and thyroid neoplasias . Since both up and down regulation of miR-125b have been described in cancer, it was suggested that miR-125b has tissue or cell-type specific effects . In this context, miR-125b was linked to aberrant regulation of several target genes involved in the control of differentiation, proliferation and apoptosis . Whether and which of these mechanisms apply to SFTP is beyond the scope of this descriptive analysis and remains unclear to date. However, since tumor size was significantly correlated with expression levels of miR-125b, our results here provide evidence that, in addition to mediating malignant transformation of SFTP, miR-125b might have pro-proliferative and anti-apoptotic effects on pleural cells.
Our study is mainly limited by its descriptive design and by a relatively low patient number. However, by analyzing a substantial number of samples obtained from two different tertiary care centers, this is the first report on a pathogenetic role of miRNAs in SFTP. Furthermore, since there are concerns regarding the accuracy of the traditional grading systems of SFTP [15–17], miR-125b should be prospectively investigated in a future study with higher sample size. Moreover, the discriminative power of miR-125b should be confirmed with outcome data and other immunohistochemical parameters (e.g. p53 expression or MIB-1 rather than traditional grading systems. However, due to the low sample size we were not able to overcome this limitation.
Our data show that lower miR-125b expression levels are associated with an increase in tumor size and that downregulation of miR-125b indicates malignant transformation. These data emphasize a role of miR-125b in the clinical course of SFTP. Further studies have to address the potential use of miR-125b as a biomarker or therapeutic agent in SFTP.
Formalin-fixed and paraffin-embedded
Solitary fibrous tumor of the pleura
This work was supported by the Lung League of the Canton of Zurich (www.lunge-zuerich.ch). The funding was used for laboratory expenses and personnel costs.
Availability of data and materials
The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.
MB, LCH and DPF planned the study. SH and MD were responsible for patient recruitment, patient consent, and data acquisition. AS, WJ and MD made MB and SH collected tissue samples. MiRNA isolation and analysis were performed by SH and MB. Statistics and data interpretation were made by MB, LCH, DPF, and MK. The same persons wrote the first draft of the manuscript. All authors approved the final version of the manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
Written informed consent to participate was obtained from all patients or their relatives. The study was approved by the local committee of Ethics (2012–0279) and is registered at ClinicalTrials.gov (NCT01694654).
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