About the Authors:
Dario de Biase
Contributed equally to this work with: Dario de Biase, Michela Visani
* E-mail: [email protected]
Affiliations Department of Patologia Sperimentale, University of Bologna, Bologna, Italy, Department of Ematologia e Scienze Oncologiche, University of Bologna, Bologna, Italy
Michela Visani
Contributed equally to this work with: Dario de Biase, Michela Visani
Affiliation: Department of Patologia Sperimentale, University of Bologna, Bologna, Italy
Luca Morandi
Affiliation: Department of Ematologia e Scienze Oncologiche, University of Bologna, Bologna, Italy
Gianluca Marucci
Affiliation: Department of Ematologia e Scienze Oncologiche, University of Bologna, Bologna, Italy
Cristian Taccioli
Affiliation: Department of Cancer Biology, Paul O'Gorman Cancer Institute, University College London, London, United Kingdom
Serenella Cerasoli
Affiliation: Anatomic Pathology of Bufalini Hospital, Cesena, Italy
Agostino Baruzzi
Affiliation: IRCCS Istituto delle Scienze Neurologiche di Bologna and Department of Biomedical & Neuromotor Sciences, University of Bologna, Bologna, Italy
Annalisa Pession
Affiliation: Department of Patologia Sperimentale, University of Bologna, Bologna, Italy
the PERNO Study group
¶Membership of the PERNO Study Group is provided in the Acknowledgments.
Introduction
MicroRNAs (or miRNAs) are small (∼20–22 nt) non coding RNAs that modulate gene expression at a post-transcriptional level. They act by binding the target mRNAs repressing translation or regulating their degradation. Each miRNA, playing its role through perfect and nearly perfect complementarity with its target mRNAs, could regulate the expression of about a hundred of genes, influencing a large spectrum of physiological processes as different steps of cellular development, proliferation or apoptosis regulation [1].
Many of these pathways are altered in human neoplasia; in fact it has been demonstrated that miRNAs can act both as oncogenes or oncosuppressors, according to their target mRNAs [2]. In fact, in several neoplasia it has been observed that physiological miRNAs profile resulted modified [3]–[7].
Glioblastoma (GBM) is a highly malignant astrocytic glioma. It is the most frequent primary brain tumour and the most malignant neoplasm with astrocytic differentiation and correspond to WHO grade IV [8]. Histologically it is composed of poorly differentiated astrocytic tumour cells, with marked nuclear atypia, high mitotic activity, prominent microvascular proliferation and necrosis. Neverthless the progress in neurosurgery, chemio- and radiotherapy, molecular target identification for focused therapy (MGMT), the clinical history of the disease is usually short (less than one year in more than 50% of cases) [8], [9].
There are several evidences that different miRNAs could be up- or down-regulated in GBM. MiR-9/9* [10]–[12], miR-10a [13], miR10b [12], [14]–[16], miR17 [11], miR20a [11], miR-21 [11], [12], [14], [16], [17], miR26 [18], miR27a [18], miR182 [18], [19], miR-221 [12], [20]–[22], miR-222 [22] and miR-519d [16] were observed to be up-regulated in GBM (Table 1); on the contrary miR-7 [14], [23]–[25], miR-31 [14], miR34a [26], [27], miR-101 [14], [28], miR-137 [14], [16], miR-330 [14] were recognized as down-regulated (Table 1). The increasing evidence that miRNAs are involved in GBM development and progression could lead to recognise a specific miRNAs profile for this neoplasia.
[Figure omitted. See PDF.]
Table 1. Name, chromosomal localization and expression level in GBM according to previously described data of miRNAs analysed in this study.
https://doi.org/10.1371/journal.pone.0035596.t001
It has been demonstrated that, differently from mRNA, integrity of miRNAs is not influenced by fixation in formalin [29], probably due to their short length and to the complex Argonaute protein-miRNA [30]. The comparison of miRNAs expression starting from Fresh/Frozen or FFPE (formalin fixed and paraffin embedded) material was performed in culture cells [31] and in several tissues as prostate [32], [33], breast [34]–[36], kidney [29], [37], [38], lymphatic tissue [39], [40], tonsils [37], melanocytic nevi [41], colon carcinoma [38] and in one case of oligodendroglioma [42]. All these papers have demonstrated that there was a good correlation in miRNAs expression analysis starting both Fresh/Frozen and FFPE tissue. None of them, except for Nonn et al. [32], performed dissection in Fresh/Frozen or FFPE material. Most of miRNAs expression studies in GBM were performed on Fresh/Frozen tissue or cell lines. In central nervous system neoplasia, starting from FFPE tissue could be very useful because of archival material is readily available and follow-up is often known.
Aim of this study was to investigate the expression of 19 miRNAs in GBM starting from both Fresh/Frozen and FFPE-dissected tissues. In these last samples, the dissection allowed to enrich (>90%) the analysed material of neoplastic cells, limiting the eventual contamination due to “normal near the tumour” fraction (e.g. lymphocytes, stroma, not neoplastic glial and neuronal cells). In this way we would to investigate the feasibility of miRNAs expression analysis starting from FFPE tissues in GBM, looking for eventually differences between not dissected Fresh/Frozen samples and FFPE-dissected tissues.
Materials and Methods
Ethic Statement
The study was approved by Ethic Committee of Azienda Sanitaria Locale di Bologna (number of study 08075, protocol number 139/CE of 5th February 2009, Bologna, Italy). All patients signed a written consent for molecular analysis and for anonymous data publication for scientific studies and all information regarding the human material used in this study was managed using anonymous numerical codes.
Selection of Cases
Thirty cases of GBM were selected for miRNAs expression analysis from cases collected at Bellaria (institute of Anatomia Patologica, Bologna, Italy) and Bufalini (institute of Anatomia Patologica, Cesena, Italy) Hospitals, within PERNO (Progetto Emiliano-Romagnolo di Neuro-Oncologia) project. All specimens were primary GBM, and patients had not undergone neoadjuvant therapy before surgery. Patients were 14 males and 16 females, aged from 42 to 75 years (mean 63.3 ys).
The specimens were collected no longer than 45 minutes after removal and immediately a snap-frozen section was performed and the material evaluated by a pathologist in order to verify if the tissue was represented by a “high-grade glioma”.
A sample of tissue was then incubated in RNA later solution (Applied Biosystem, Austin, TX, U.S.A.) for 1 hour at room temperature and stored at −80°C after quick-frozen in liquid nitrogen. The remaining specular tissue was formalin fixed and paraffin embedded for routine histological diagnosis. All 30 samples were diagnosed as GBM according the 2007 WHO criteria [8].
Cell lines of prostate carcinoma (LNCaP, CRL-1740), breast adenocarcinoma (MCF7, HTB-22) and glioblastoma (U-87 MG, HTB14), provided by American Type Culture Collection (ATCC, Rockville, MD, USA), were used for evaluating efficiency of primers per each miRNA analysed.
miRNAs extraction
The “Fresh/Frozen” specimens and cell lines were processed for miRNAs extraction protocol using mirVana miRNA isolation kit (Applied Biosystem, Austin, TX, U.S.A.). Briefly, small RNA fraction was exctracted and enriched starting from 50 to 80 mg of tissue or 3 millions of cells according to manufacturer's protocol.
The haematoxylin and eosin (H&E) sections from FFPE specimens were reviewed by a pathologist (GM) to select the more informative block. Four 20 µm-thick sections were cut followed by one H&E control slide. The tumour area selected for the analysis was marked on the control slide to ensure, whenever possible, greater than 90% content of neoplastic cells (avoiding necrosis and lymphocytes). The four 20 µm-thick sections were manually dissected under microscopic guidance according to area selected on H&E and incubated in xylene for 3 minutes at 50°C and, after two rinses with ethanol, miRNAs were extracted using RecoverAll Total Nucleic Acid Isolation kit (Ambion, Austin, TX, U.S.A.), according to manufacturer's instructions.
Quality and quantity of smallRNAs extracted from both Fresh/Frozen and FFPE-dissected tissue were evaluated using the Agilent 2100 Bioanalyzer (Agilent Technologies, Waldbronn, Germany) and the Qubit fluorometer (Invitrogen, Carlsbad, CA, U.S.A.).
cDNA was obtained after a polyadenylation step and retrotranscription were performed using SuperScript III RT enzyme and a Universal RT Primer according to NCode miRNA first-strand cDNA synthesis and qRT-PCR Kit protocol (Invitrogen, Carlsbad, CA, U.S.A.).
miRNAs analysis
Nineteen miRNAs (Table 1) were selected for analysis, according to their role in cancer and data previously published in literature at beginning of the study [10]–[12], [14], [16]–[18], [20], [21], [24], [25], [27]. miR103, RNU49 and U54 were used as endogenous controls.
Each forward primers used correspond to mature miRNA sequence according to miRBase database (http://microrna.sanger.ac.uk) (Table 2). Primers were modified with LNA (Locked Nucleic Acid) substitutions for increasing specificity and discriminating between miRNAs with a single base different nucleotide sequences (e.g. miR-10a and miR-10b, Table 2). Universal reverse primer was provided by NCode miRNA first-strand cDNA synthesis and qRT-PCR Kit (Invitrogen, Carlsbad, CA, U.S.A.).
[Figure omitted. See PDF.]
Table 2. Name, localization and forward primer sequence of analysed miRNAs.
https://doi.org/10.1371/journal.pone.0035596.t002
Efficiency of each primer was tested by Real-Time PCR using serial dilutions (1∶1, 1∶25, 1∶50, 1∶100) of a pool of RNA extracted by following cell lines: U-87 MG, MCF7 and LNCaP. A run of Real-Time PCR using as template a pool of female DNA (Promega, Madison, WI, U.S.A.) was performed to confirm that miRNAs primers were not able to amplify DNA.
miRNAs expression was evaluated using a AB7000 machine (Applied Biosystem, Foster City, CA, USA) and FastStart Taq Reagents Kit (Roche, Mannheim, Germany), with the following program: 2 minutes at 50°C, 4 minutes at 95°C and 37 cycles with annealing at 60°C for 30 seconds. GelStar stain (Lonza Bioscience, Rockland, ME, USA) was used as Real-Time detector. No template control for each miRNA was included in the reaction plate. All the reactions were performed in duplicate and amplicons run on a 3% agarose gel.
Statistical analysis
Expression values and fold-change were obtained by relative quantification and 2−ΔΔCt method [43], using DataAssist 2.0 Tool (Applied Biosystem, Foster City, CA, USA). Statistical analysis of miRNAs expression was performed using GraphPad Prism 5.0 tool. Paired samples comparison and correlation analysis between miRNAs expression in Fresh/Frozen and FFPE-dissected samples were performed using Wilcoxon paired test and Spearman correlation respectively. Level of significance was p<0.05 for all the statistical analysis.
Results
Distribution for Fresh/Frozen (FF) and FFPE samples was found not normal, as demonstrated by the Shapiro Test (p<0.001). For this reason, we only used non-parametric statistical tests.
A good Spearman correlation value (r = 0.7916, p<0.0001) between the expression level of each miRNAs comparing results obtained in fresh-frozen and in FFPE-dissected samples was observed (Figure 1) whereas Wilcoxon paired test showed not significant differences between the two groups (p = 0.1845).
[Figure omitted. See PDF.]
Figure 1. Scatter plot showing Spearman correlation between Fresh/Frozen and FFPE-dissected groups.
https://doi.org/10.1371/journal.pone.0035596.g001
To test if the miRNAs profile obtained in Fresh/Frozen and FFPE-dissected (FD) samples were comparable, we calculated the median fold-change for each 30 FF samples versus 30 FD specimens. Although miR-137, miR-20a and miR-21 were slightly downregulated (FD/FF ratio <−2.0), the vast majority of miRNAs were not statistically significantly different (Figure 2)
[Figure omitted. See PDF.]
Figure 2. Median fold-change calculated per each miRNA between 30 paired Fresh/Frozen and FFPE samples.
The y-axis represents the fold-change value.
https://doi.org/10.1371/journal.pone.0035596.g002
Comparison of individual miRNAs expression between Fresh/Frozen and FFPE-dissected sample, in single paired specimen, showed a good Spearman correlation value (r>0.65) in 25 out of 30 samples (Figure 3a) while the remaining five cases showed a correlation ratio <0.65 (ranged from 0.5123 to 0.6386, Figure 3b).
[Figure omitted. See PDF.]
Figure 3. Comparison between miRNAs expression profile in Fresh/Frozen and in FFPE specimens.
a) Example of one specimen with a good correlation of miRNAs expression profile obtained in Fresh/Frozen (pointed line) and in FFPE specimen (squared line); b) Example of one specimen with a correlation less than r<0.65 of miRNAs expression profile obtained in Fresh/Frozen (pointed line) and in FFPE specimen (squared line).
https://doi.org/10.1371/journal.pone.0035596.g003
To investigate if discrepancy observed in the 5 cases with r<0.65 could be caused by enrichment in neoplastic cells due to dissection, we analysed the miRNAs profiles of these 5 samples starting from undissected FFPE material. We performed the analysis only in the 4 cases in which the H&E revealed the presence of not-neoplastic tissue adjacent the area dissected for miRNAs analysis (Table 3). In 3 out of 4 cases analysed the Spearman correlation value increased up the cut off of 0.65 (Table 3).
[Figure omitted. See PDF.]
Table 3. Spearman correlation values between miRNA profiles obtained in Fresh/Frozen, FFPE-dissected and FFPE-not dissected samples.
https://doi.org/10.1371/journal.pone.0035596.t003
Discussion
The use of formalin-fixed paraffin embedded samples for nucleic acid analysis in molecular study gives more disposal of specimen for research. For this reason, miRNAs analysis starting from FFPE samples could be of great usefulness for miRNAs expression study. Due to their short length (19–25 nt), the mature miRNAs seem not to be influenced by nucleic acid degradation caused by formalin fixation [29], as happened on the contrary for long RNA or DNA. Several papers reported the feasibility of miRNAs expression from FFPE specimens in different tissues as kidney, prostate and breast [32], [33], [35]–[38].
GBM is the most aggressive adult brain tumour and, nevertheless the progresses in molecular therapy, its prognosis remains very poor [8]. Identifying a miRNAs profile for GBM could be very useful for better clarify prognosis and researching new targeted drugs. For this reason, and for “opening” the anatomic pathology archives even to analysis of miRNAs expression in GBM, it is crucial determining if FFPE specimens are suitable for this type of analysis.
Our study demonstrated, in a cohort of 30 paired GBM, that miRNAs analysis using real-time technique could be performed starting from FFPE samples as well as from Fresh/Frozen specimens. The data demonstrated that there is a good correlation (r = 0.7916) between the profiles obtained starting from FFPE-dissected samples and from fresh samples.
The real cellular composition of Fresh/Frozen sample is not well known, in fact, even if a 4 µm-thick snap-frozen section was used for evaluating fresh sample, the miRNAs extraction was performed starting from 50–80 mg of not morphologically checked tissue (containing, for example, lymphocytes or non-neoplastic cells). This situation could lead to discrepant results in miRNAs analysis that we observed in 5 out of 30 cases here analysed. In FFPE-dissected samples, the selection of area used for performing the analysis lead to enrich the sample in neoplastic cells, avoiding “contamination” due to non-tumoural components. In 3 out of 4 cases, with a not good (r<0.65) Spearman correlation value, the analysis of miRNAs expression performed without dissection resulted in a better correlation with corresponding Fresh/Frozen samples. In only one case the correlation coefficient value remained below 0.65, even when obtained without dissecting the sample. To our knowledge, this sample did not show peculiar histological features (i.e. predominant lymphocytic infiltrate or necrotic zone).
To the best of our knowledge, this is the first study comparing the miRNAs expression analysis in GBM in FFPE-dissected samples and Fresh/Frozen specimens.
Our data demonstrated that in a cohort of 30 GBM, as happened in other tissues, data of miRNAs expression analysis are comparable starting from FFPE sample as well as from Fresh/Frozen specimens. This approach have several advantages: it is possible to check the real composition of the analysed sample, and it could be possible to dispose of archival material for miRNAs expression analysis (even considering the difficult to retrieve fresh brain tissue). The fact that dissection could influence the expression results leads to put a lot of attention in comparing miRNAs analysis performed with or without dissection.
Acknowledgments
We would like to thank Dr. Nigrisoli Evandro from Anatomic Pathology of Bufalini Hospital for kindly supplying cases. The authors thank Dr. Warren Emmett from Paul O'Gorman Cancer Institute, University College London, London, for his valuable help in the proof reading of the manuscript.
The PERNO Study group (Affiliations are indicated between brackets)
Steering committee:
Baruzzi A. (Chair), Albani F., Calbucci F., D'Alessandro R., Michelucci R. (IRCCS Institute of Neurological Sciences, Bologna, Italy), Brandes A. (Department of Medical Oncology, Bellaria-Maggiore Hospitals, Bologna, Italy), Eusebi V. (Department of Hematology and Oncological Sciences “L. & A. Seragnoli,” Section of Anatomic Pathology at Bellaria Hospital, Bologna, Italy), Ceruti S., Fainardi E., Tamarozzi R. (Neuroradiology Unit, Department of Neurosciences and Rehabilitation, S. Anna Hospital, Ferrara, Italy), Emiliani E. (Istituto Oncologico Romagnolo, Department of Medical Oncology, Santa Maria delle Croci Hospital, Ravenna, Italy), Cavallo M. (Division of Neurosurgery, Department of Neurosciences and Rehabilitation, S. Anna Hospital, Ferrara, Italy).
Executive committee:
Franceschi E., Tosoni A. (Department of Medical Oncology, Bellaria-Maggiore Hospitals, Bologna, Italy), Cavallo M. (Division of Neurosurgery, Department of Neurosciences and Rehabilitation, S. Anna Hospital, Ferrara, Italy), Fiorica F. (Department of Radiation Oncology, S. Anna Hospital, Ferrara, Italy), Valentini A. (Division of Neurosurgery, Nuovo Ospedale Civile S. Agostino-Estense, Baggiovara, Modena, Italy), Depenni R. (Department of Oncology, Policlinico di Modena, Italy), Mucciarini C. (Department of Oncology, Ramazzini Hospital, Carpi, Modena, Italy), Crisi G. (Department of Neuroradiology, Maggiore Hospital, Parma, Italy), Sasso E. (Department of Neurological Sciences, Maggiore Hospital, Parma, Italy), Biasini C., Cavanna L. (Department of Oncology and Hematology, Guglielmo da Saliceto Hospital, Piacenza, Italy), Guidetti D. (Department of Neurology, Guglielmo da Saliceto Hospital, Piacenza, Italy), Marcello N., Pisanello A. (Department of Neurology, Istituto in tecnologie avanzate e modelli assistenziali in oncologia, IRCCS, S. Maria Nuova Hospital, Reggio Emilia, Italy), Cremonini A.M., Guiducci G. (Division of Neurosurgery, M. Bufalini Hospital, Cesena, Italy).
Registry Coordination Office: de Pasqua S., Testoni S. (IRCCS Institute of Neurological Sciences, Bologna, Italy).
Participants:
Agati R., Ambrosetto G., Bacci A., Baldin E., Baldrati A., Barbieri E., Bartolini S., Bellavista E., Bisulli F., Bonora E., Bunkheila F., Carelli V., Crisci M., Dall'Occa P., Ferro S., Franceschi C., Frezza G., GrassoV., Leonardi M., Mostacci B., Palandri G., Pasini E., Pastore Trossello M., Poggi R, Riguzzi P., Rinaldi R., Rizzi S., Romeo G., Spagnolli F., Tinuper P., Trocino C. (Bologna), Dall'Agata M., Faedi M., Frattarelli M., Gentili G., Giovannini A., Iorio P., Pasquini U., Galletti G., Guidi C., Neri W., Patuelli A., Strumia S. (Forlì-Cesena), Casmiro M., Gamboni.A., Rasi F. (Faenza, RA), Cruciani G. (Lugo, RA), Cenni P., Dazzi C., Guidi AR., Zumaglini F. (Ravenna), Amadori A., Pasini G., Pasquinelli M., Pasquini E., Polselli A., Ravasio A., Viti B. (Rimini), Sintini M. (Cattolica, RN), Ariatti A., Bertolini F., Bigliardi G., Carpeggiani P., Cavalleri F., Meletti S., Nichelli P., Pettorelli E., Pinna G., Zunarelli E. (Modena), Artioli F., Bernardini I., Costa M., Greco G., Guerzoni R., Stucchi C. (Carpi, MO), Iaccarino C., Ragazzi M., Rizzi R., Zuccoli G. (Reggio Emilia), Api P., Cartei F., Fallica E., Granieri E., Latini F., Lelli G., Monetti C., Saletti A., Schivalocchi R., Seraceni S., Tola M.R., Urbini B. (Ferrara), Giorgi C. Montanari E. (Fidenza, PR), Cerasti D., Crafa P., Dascola I., Florindo I., Giombelli E., Mazza S., Ramponi V., Servadei F., Silini EM., Torelli P. (Parma), Immovilli P., Morelli N., Vanzo C. (Piacenza), Nobile C. (Padova).
Full affiliations and postal addresses of PERNO participants are available at the study website: www.perno.it.
Author Contributions
Conceived and designed the experiments: DDB MV AP. Performed the experiments: DDB MV. Analyzed the data: DDB MV LM GM CT SC AB AP. Contributed reagents/materials/analysis tools: AP AB. Wrote the paper: DDB MV AP. Statistical Analysis: CT.
Citation: de Biase D, Visani M, Morandi L, Marucci G, Taccioli C, Cerasoli S, et al. (2012) miRNAs Expression Analysis in Paired Fresh/Frozen and Dissected Formalin Fixed and Paraffin Embedded Glioblastoma Using Real-Time PCR. PLoS ONE 7(4): e35596. https://doi.org/10.1371/journal.pone.0035596
1. Ambros V (2004) The functions of animal microRNAs. Nature 431: 350–355.V. Ambros2004The functions of animal microRNAs.Nature431350355
2. Dalmay T (2008) MicroRNAs and cancer. J Intern Med 263: 366–375.T. Dalmay2008MicroRNAs and cancer.J Intern Med263366375
3. Iorio MV, Ferracin M, Liu CG, Veronese A, Spizzo R, et al. (2005) MicroRNA gene expression deregulation in human breast cancer. Cancer Res 65: 7065–7070.MV IorioM. FerracinCG LiuA. VeroneseR. Spizzo2005MicroRNA gene expression deregulation in human breast cancer.Cancer Res6570657070
4. Michael MZ, SM OC, van Holst Pellekaan NG, Young GP, James RJ (2003) Reduced accumulation of specific microRNAs in colorectal neoplasia. Mol Cancer Res 1: 882–891.MZ MichaelOC SMNG van Holst PellekaanGP YoungRJ James2003Reduced accumulation of specific microRNAs in colorectal neoplasia.Mol Cancer Res1882891
5. Carlsson J, Davidsson S, Helenius G, Karlsson M, Lubovac Z, et al. (2011) A miRNA expression signature that separates between normal and malignant prostate tissues. Cancer Cell Int 11: 14.J. CarlssonS. DavidssonG. HeleniusM. KarlssonZ. Lubovac2011A miRNA expression signature that separates between normal and malignant prostate tissues.Cancer Cell Int1114
6. Sozzi G, Pastorino U, Croce CM (2011) MicroRNAs and lung cancer: from markers to targets. Cell Cycle 10: 2045–2046.G. SozziU. PastorinoCM Croce2011MicroRNAs and lung cancer: from markers to targets.Cell Cycle1020452046
7. Pang JC, Kwok WK, Chen Z, Ng HK (2009) Oncogenic role of microRNAs in brain tumors. Acta Neuropathol 117: 599–611.JC PangWK KwokZ. ChenHK Ng2009Oncogenic role of microRNAs in brain tumors.Acta Neuropathol117599611
8. Louis DN, Ohgaki H, Wiestler OD, Cavenee WK (2007) WHO Classification of Tumours of the Central Nervous System; IARC, editor. Lyon.DN LouisH. OhgakiOD WiestlerWK Cavenee2007WHO Classification of Tumours of the Central Nervous System; IARC, editorLyon
9. Henriksson R, Asklund T, Poulsen HS (2011) Impact of therapy on quality of life, neurocognitive function and their correlates in glioblastoma multiforme: a review. J Neurooncol 104: 639–646.R. HenrikssonT. AsklundHS Poulsen2011Impact of therapy on quality of life, neurocognitive function and their correlates in glioblastoma multiforme: a review.J Neurooncol104639646
10. Nass D, Rosenwald S, Meiri E, Gilad S, Tabibian-Keissar H, et al. (2009) MiR-92b and miR-9/9* are specifically expressed in brain primary tumors and can be used to differentiate primary from metastatic brain tumors. Brain Pathol 19: 375–383.D. NassS. RosenwaldE. MeiriS. GiladH. Tabibian-Keissar2009MiR-92b and miR-9/9* are specifically expressed in brain primary tumors and can be used to differentiate primary from metastatic brain tumors.Brain Pathol19375383
11. Malzkorn B, Wolter M, Liesenberg F, Grzendowski M, Stuhler K, et al. (2009) Identification and functional characterization of microRNAs involved in the malignant progression of gliomas. Brain Pathol 20: 539–550.B. MalzkornM. WolterF. LiesenbergM. GrzendowskiK. Stuhler2009Identification and functional characterization of microRNAs involved in the malignant progression of gliomas.Brain Pathol20539550
12. Ciafre SA, Galardi S, Mangiola A, Ferracin M, Liu CG, et al. (2005) Extensive modulation of a set of microRNAs in primary glioblastoma. Biochem Biophys Res Commun 334: 1351–1358.SA CiafreS. GalardiA. MangiolaM. FerracinCG Liu2005Extensive modulation of a set of microRNAs in primary glioblastoma.Biochem Biophys Res Commun33413511358
13. Ujifuku K, Mitsutake N, Takakura S, Matsuse M, Saenko V, et al. (2010) miR-195, miR-455-3p and miR-10a(*) are implicated in acquired temozolomide resistance in glioblastoma multiforme cells. Cancer Lett 296: 241–248.K. UjifukuN. MitsutakeS. TakakuraM. MatsuseV. Saenko2010miR-195, miR-455-3p and miR-10a(*) are implicated in acquired temozolomide resistance in glioblastoma multiforme cells.Cancer Lett296241248
14. Silber J, Lim DA, Petritsch C, Persson AI, Maunakea AK, et al. (2008) miR-124 and miR-137 inhibit proliferation of glioblastoma multiforme cells and induce differentiation of brain tumor stem cells. BMC Med 6: 14.J. SilberDA LimC. PetritschAI PerssonAK Maunakea2008miR-124 and miR-137 inhibit proliferation of glioblastoma multiforme cells and induce differentiation of brain tumor stem cells.BMC Med614
15. Gabriely G, Yi M, Narayan RS, Niers JM, Wurdinger T, et al. (2010) Human glioma growth is controlled by microRNA-10b. Cancer Res 71: 3563–3572.G. GabrielyM. YiRS NarayanJM NiersT. Wurdinger2010Human glioma growth is controlled by microRNA-10b.Cancer Res7135633572
16. Godlewski J, Nowicki MO, Bronisz A, Williams S, Otsuki A, et al. (2008) Targeting of the Bmi-1 oncogene/stem cell renewal factor by microRNA-128 inhibits glioma proliferation and self-renewal. Cancer Res 68: 9125–9130.J. GodlewskiMO NowickiA. BroniszS. WilliamsA. Otsuki2008Targeting of the Bmi-1 oncogene/stem cell renewal factor by microRNA-128 inhibits glioma proliferation and self-renewal.Cancer Res6891259130
17. Chen Y, Liu W, Chao T, Zhang Y, Yan X, et al. (2008) MicroRNA-21 down-regulates the expression of tumor suppressor PDCD4 in human glioblastoma cell T98G. Cancer Lett 272: 197–205.Y. ChenW. LiuT. ChaoY. ZhangX. Yan2008MicroRNA-21 down-regulates the expression of tumor suppressor PDCD4 in human glioblastoma cell T98G.Cancer Lett272197205
18. Huse JT, Brennan C, Hambardzumyan D, Wee B, Pena J, et al. (2009) The PTEN-regulating microRNA miR-26a is amplified in high-grade glioma and facilitates gliomagenesis in vivo. Genes Dev 23: 1327–1337.JT HuseC. BrennanD. HambardzumyanB. WeeJ. Pena2009The PTEN-regulating microRNA miR-26a is amplified in high-grade glioma and facilitates gliomagenesis in vivo.Genes Dev2313271337
19. Roa W, Brunet B, Guo L, Amanie J, Fairchild A, et al. (2010) Identification of a new microRNA expression profile as a potential cancer screening tool. Clin Invest Med 33: E124.W. RoaB. BrunetL. GuoJ. AmanieA. Fairchild2010Identification of a new microRNA expression profile as a potential cancer screening tool.Clin Invest Med33E124
20. Conti A, Aguennouz M, La Torre D, Tomasello C, Cardali S, et al. (2009) miR-21 and 221 upregulation and miR-181b downregulation in human grade II–IV astrocytic tumors. J Neurooncol 93: 325–332.A. ContiM. AguennouzD. La TorreC. TomaselloS. Cardali2009miR-21 and 221 upregulation and miR-181b downregulation in human grade II–IV astrocytic tumors.J Neurooncol93325332
21. Lukiw WJ, Cui JG, Li YY, Culicchia F (2009) Up-regulation of micro-RNA-221 (miRNA-221; chr Xp11.3) and caspase-3 accompanies down-regulation of the survivin-1 homolog BIRC1 (NAIP) in glioblastoma multiforme (GBM). J Neurooncol 91: 27–32.WJ LukiwJG CuiYY LiF. Culicchia2009Up-regulation of micro-RNA-221 (miRNA-221; chr Xp11.3) and caspase-3 accompanies down-regulation of the survivin-1 homolog BIRC1 (NAIP) in glioblastoma multiforme (GBM).J Neurooncol912732
22. Quintavalle C, Garofalo M, Zanca C, Romano G, Iaboni M, et al. (2011) miR-221/222 overexpession in human glioblastoma increases invasiveness by targeting the protein phosphate PTPmu. Oncogene. C. QuintavalleM. GarofaloC. ZancaG. RomanoM. Iaboni2011miR-221/222 overexpession in human glioblastoma increases invasiveness by targeting the protein phosphate PTPmu.Oncogene
23. Skalsky RL, Cullen BR (2011) Reduced expression of brain-enriched microRNAs in glioblastomas permits targeted regulation of a cell death gene. PLoS One 6: e24248.RL SkalskyBR Cullen2011Reduced expression of brain-enriched microRNAs in glioblastomas permits targeted regulation of a cell death gene.PLoS One6e24248
24. Webster RJ, Giles KM, Price KJ, Zhang PM, Mattick JS, et al. (2009) Regulation of epidermal growth factor receptor signaling in human cancer cells by microRNA-7. J Biol Chem 284: 5731–5741.RJ WebsterKM GilesKJ PricePM ZhangJS Mattick2009Regulation of epidermal growth factor receptor signaling in human cancer cells by microRNA-7.J Biol Chem28457315741
25. Kefas B, Godlewski J, Comeau L, Li Y, Abounader R, et al. (2008) microRNA-7 inhibits the epidermal growth factor receptor and the Akt pathway and is down-regulated in glioblastoma. Cancer Res 68: 3566–3572.B. KefasJ. GodlewskiL. ComeauY. LiR. Abounader2008microRNA-7 inhibits the epidermal growth factor receptor and the Akt pathway and is down-regulated in glioblastoma.Cancer Res6835663572
26. Li WB, Ma MW, Dong LJ, Wang F, Chen LX, et al. (2011) MicroRNA-34a targets notch1 and inhibits cell proliferation in glioblastoma multiforme. Cancer Biol Ther 12: 477–483.WB LiMW MaLJ DongF. WangLX Chen2011MicroRNA-34a targets notch1 and inhibits cell proliferation in glioblastoma multiforme.Cancer Biol Ther12477483
27. Li Y, Guessous F, Zhang Y, Dipierro C, Kefas B, et al. (2009) MicroRNA-34a inhibits glioblastoma growth by targeting multiple oncogenes. Cancer Res 69: 7569–7576.Y. LiF. GuessousY. ZhangC. DipierroB. Kefas2009MicroRNA-34a inhibits glioblastoma growth by targeting multiple oncogenes.Cancer Res6975697576
28. Smits M, Nilsson J, Mir SE, van der Stoop PM, Hulleman E, et al. (2010) miR-101 is down-regulated in glioblastoma resulting in EZH2-induced proliferation, migration, and angiogenesis. Oncotarget 1: 710–720.M. SmitsJ. NilssonSE MirPM van der StoopE. Hulleman2010miR-101 is down-regulated in glioblastoma resulting in EZH2-induced proliferation, migration, and angiogenesis.Oncotarget1710720
29. Xi Y, Nakajima G, Gavin E, Morris CG, Kudo K, et al. (2007) Systematic analysis of microRNA expression of RNA extracted from fresh frozen and formalin-fixed paraffin-embedded samples. RNA 13: 1668–1674.Y. XiG. NakajimaE. GavinCG MorrisK. Kudo2007Systematic analysis of microRNA expression of RNA extracted from fresh frozen and formalin-fixed paraffin-embedded samples.RNA1316681674
30. Weng L, Wu X, Gao H, Mu B, Li X, et al. (2010) MicroRNA profiling of clear cell renal cell carcinoma by whole-genome small RNA deep sequencing of paired frozen and formalin-fixed, paraffin-embedded tissue specimens. J Pathol 222: 41–51.L. WengX. WuH. GaoB. MuX. Li2010MicroRNA profiling of clear cell renal cell carcinoma by whole-genome small RNA deep sequencing of paired frozen and formalin-fixed, paraffin-embedded tissue specimens.J Pathol2224151
31. Li J, Smyth P, Flavin R, Cahill S, Denning K, et al. (2007) Comparison of miRNA expression patterns using total RNA extracted from matched samples of formalin-fixed paraffin-embedded (FFPE) cells and snap frozen cells. BMC Biotechnol 7: 36.J. LiP. SmythR. FlavinS. CahillK. Denning2007Comparison of miRNA expression patterns using total RNA extracted from matched samples of formalin-fixed paraffin-embedded (FFPE) cells and snap frozen cells.BMC Biotechnol736
32. Nonn L, Vaishnav A, Gallagher L, Gann PH (2010) mRNA and micro-RNA expression analysis in laser-capture microdissected prostate biopsies: valuable tool for risk assessment and prevention trials. Exp Mol Pathol 88: 45–51.L. NonnA. VaishnavL. GallagherPH Gann2010mRNA and micro-RNA expression analysis in laser-capture microdissected prostate biopsies: valuable tool for risk assessment and prevention trials.Exp Mol Pathol884551
33. Leite KR, Canavez JM, Reis ST, Tomiyama AH, Piantino CB, et al. (2011) miRNA analysis of prostate cancer by quantitative real time PCR: comparison between formalin-fixed paraffin embedded and fresh-frozen tissue. Urol Oncol 29: 533–537.KR LeiteJM CanavezST ReisAH TomiyamaCB Piantino2011miRNA analysis of prostate cancer by quantitative real time PCR: comparison between formalin-fixed paraffin embedded and fresh-frozen tissue.Urol Oncol29533537
34. Wang H, Ach RA, Curry B (2007) Direct and sensitive miRNA profiling from low-input total RNA. RNA 13: 151–159.H. WangRA AchB. Curry2007Direct and sensitive miRNA profiling from low-input total RNA.RNA13151159
35. Hasemeier B, Christgen M, Kreipe H, Lehmann U (2008) Reliable microRNA profiling in routinely processed formalin-fixed paraffin-embedded breast cancer specimens using fluorescence labelled bead technology. BMC Biotechnol 8: 90.B. HasemeierM. ChristgenH. KreipeU. Lehmann2008Reliable microRNA profiling in routinely processed formalin-fixed paraffin-embedded breast cancer specimens using fluorescence labelled bead technology.BMC Biotechnol890
36. Hui AB, Shi W, Boutros PC, Miller N, Pintilie M, et al. (2009) Robust global micro-RNA profiling with formalin-fixed paraffin-embedded breast cancer tissues. Lab Invest 89: 597–606.AB HuiW. ShiPC BoutrosN. MillerM. Pintilie2009Robust global micro-RNA profiling with formalin-fixed paraffin-embedded breast cancer tissues.Lab Invest89597606
37. Hoefig KP, Thorns C, Roehle A, Kaehler C, Wesche KO, et al. (2008) Unlocking pathology archives for microRNA-profiling. Anticancer Res 28: 119–123.KP HoefigC. ThornsA. RoehleC. KaehlerKO Wesche2008Unlocking pathology archives for microRNA-profiling.Anticancer Res28119123
38. Siebolts U, Varnholt H, Drebber U, Dienes HP, Wickenhauser C, et al. (2009) Tissues from routine pathology archives are suitable for microRNA analyses by quantitative PCR. J Clin Pathol 62: 84–88.U. SieboltsH. VarnholtU. DrebberHP DienesC. Wickenhauser2009Tissues from routine pathology archives are suitable for microRNA analyses by quantitative PCR.J Clin Pathol628488
39. Lawrie CH (2007) MicroRNA expression in lymphoma. Expert Opin Biol Ther 7: 1363–1374.CH Lawrie2007MicroRNA expression in lymphoma.Expert Opin Biol Ther713631374
40. Zhang X, Chen J, Radcliffe T, Lebrun DP, Tron VA, et al. (2008) An array-based analysis of microRNA expression comparing matched frozen and formalin-fixed paraffin-embedded human tissue samples. J Mol Diagn 10: 513–519.X. ZhangJ. ChenT. RadcliffeDP LebrunVA Tron2008An array-based analysis of microRNA expression comparing matched frozen and formalin-fixed paraffin-embedded human tissue samples.J Mol Diagn10513519
41. Glud M, Klausen M, Gniadecki R, Rossing M, Hastrup N, et al. (2009) MicroRNA expression in melanocytic nevi: the usefulness of formalin-fixed, paraffin-embedded material for miRNA microarray profiling. J Invest Dermatol 129: 1219–1224.M. GludM. KlausenR. GniadeckiM. RossingN. Hastrup2009MicroRNA expression in melanocytic nevi: the usefulness of formalin-fixed, paraffin-embedded material for miRNA microarray profiling.J Invest Dermatol12912191224
42. Nelson PT, Baldwin DA, Scearce LM, Oberholtzer JC, Tobias JW, et al. (2004) Microarray-based, high-throughput gene expression profiling of microRNAs. Nat Methods 1: 155–161.PT NelsonDA BaldwinLM ScearceJC OberholtzerJW Tobias2004Microarray-based, high-throughput gene expression profiling of microRNAs.Nat Methods1155161
43. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25: 402–408.KJ LivakTD Schmittgen2001Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.Methods25402408
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2012 de Biase et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
miRNAs are small molecules involved in gene regulation. Each tissue shows a characteristic miRNAs epression profile that could be altered during neoplastic transformation. Glioblastoma is the most aggressive brain tumour of the adult with a high rate of mortality. Recognizing a specific pattern of miRNAs for GBM could provide further boost for target therapy. The availability of fresh tissue for brain specimens is often limited and for this reason the possibility of starting from formalin fixed and paraffin embedded tissue (FFPE) could very helpful even in miRNAs expression analysis. We analysed a panel of 19 miRNAs in 30 paired samples starting both from FFPE and Fresh/Frozen material. Our data revealed that there is a good correlation in results obtained from FFPE in comparison with those obtained analysing miRNAs extracted from Fresh/Frozen specimen. In the few cases with a not good correlation value we noticed that the discrepancy could be due to dissection performed in FFPE samples. To the best of our knowledge this is the first paper demonstrating that the results obtained in miRNAs analysis using Real-Time PCR starting from FFPE specimens of glioblastoma are comparable with those obtained in Fresh/Frozen samples.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer