miRNAs Regulation and Its Role as Biomarkers in Endometriosis.

MicroRNAs (miRNAs) are small non-coding RNAs (18-22 nt) that function as modulators of gene expression. Since their discovery in 1993 in C. elegans, our knowledge about their biogenesis, function, and mechanism of action has increased enormously, especially in recent years, with the development of deep-sequencing technologies. New biogenesis pathways and sources of miRNAs are changing our concept about these molecules. The study of the miRNA contribution to pathological states is a field of great interest in research. Different groups have reported the implication of miRNAs in pathologies such as cancer, diabetes, cardiovascular, and gynecological diseases. It is also well-known that miRNAs are present in biofluids (plasma, serum, urine, semen, and menstrual blood) and have been proposed as ideal candidates as disease biomarkers. The goal of this review is to highlight the current knowledge in the field of miRNAs with a special emphasis to their role in endometriosis and the newest investigations addressing the use of miRNAs as biomarkers for this gynecological disease.

MicroRNA expression profile in endometriosis: its relation to angiogenesis and fibrinolytic factors.

STUDY QUESTION: Could an aberrant microRNA (miRNA) expression profile be responsible for the changes in the angiogenic and fibrinolytic states observed in endometriotic lesions? SUMMARY ANSWER: This study revealed characteristic miRNA expression profiles associated with endometriosis in endometrial tissue and endometriotic lesions from the same patient and their correlation with the most important angiogenic and fibrinolytic factors. WHAT IS ALREADY KNOWN?: An important role for dysregulated miRNA expression in the pathogenesis of endometriosis is well documented. However, to the best of our knowledge, there are no reports of the relationship between angiogenic and fibrinolytic factors and miRNAs when endometrial tissue and different types of endometriotic lesions from the same patient are compared. STUDY DESIGN, SIZE, DURATION: Case-control study that involved 51 women with endometriosis and 32 women without the disease (controls). PARTICIPANTS/MATERIALS, SETTING, METHODS: The miRNA expression profiles were determined using the GeneChip miRNA 2.0 Affymetrix array platform, and the results were analysed using Partek Genomic Suite software. To validate the obtained results, 12 miRNAs differentially expressed were quantified by using miRCURY LNA™ Universal RT microRNA PCR. Levels of vascular endothelial growth factor (VEGF-A), thrombospondin-1 (TSP-1), urokinase plasminogen activator (uPA) and plasminogen activator inhibitor-1 (PAI-1) proteins were quantified by ELISA. MAIN RESULTS AND THE ROLE OF CHANCE: Patient endometrial tissue showed significantly lower levels of miR-202-3p, miR-424-5p, miR-449b-3p and miR-556-3p, and higher levels of VEGF-A and uPA than healthy (control) endometrium. However, tissue affected by ovarian endometrioma showed significantly lower expression of miR-449b-3p than endometrium from both controls and patients, and higher levels of PAI-1 and the angiogenic inhibitor TSP-1. A significant inverse correlation between miR-424-5p and VEGF-A protein levels was observed in patient endometrium, and an inverse correlation between miR-449b-3p and TSP-1 protein levels was observed in ovarian endometrioma. Peritoneal implants had significantly higher levels of VEGF-A than ovarian endometrioma samples. LIMITATIONS, REASONS FOR CAUTION: Functional studies are needed to confirm the specific targets of the miRNAs differently expressed. WIDER IMPLICATIONS OF THE FINDINGS: Differences in miRNA levels could modulate the expression of VEGF-A and TSP-1, which may play an important role in the pathogenesis of endometriosis. The higher angiogenic and proteolytic activities observed in eutopic endometrium from patients might facilitate the implantation of endometrial cells at ectopic sites. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by research grants from ISCIII-FEDER (PI11/0091, Red RIC RD12/0042/0029), Consellería de Educación-Generalitat Valenciana (PROMETEO/2011/027), Beca de Investigación Fundación Dexeus para la Salud de la Mujer (2011/0469), and by Fundación Investigación Hospital La Fe (2011/211). A.B-B. has a Contrato Posdoctoral de Perfeccionamiento Sara Borrell-ISCIII (CD13/00005). J.M-A. has a predoctoral grant PFIS-ISCIII (FI12/00012). The authors have no conflicts of interest to declare.

MicroRNA signatures in hereditary breast cancer.

This study aims to identify signatures of miR associated with hereditary, BRCA1 or BRCA2 mutation positive breast cancer (BC), and non-hereditary BC, either sporadic (SBC) or non-informative (BRCAX). Moreover, we search for signatures associated with tumor stage, immunohistochemistry and tumor molecular profile. Twenty formalin fixed paraffin embedded (FFPE) BCs, BRCA1, BRCA2, BRCAX and SBC, five per group were studied. Affymetrix platform miRNA v.3.0 was used to perform miR expression analysis. ER, PR, HER2 and Ki67 protein expression was analyzed by immunohistochemistry. BRCA1, BRCA2 and RASSF1 methylation analysis, AURKA copy number variations, and BRCA1 and BRCA2 deletions, were studied by MLPA. We validated eight of the miR selected by the arrays in 77 BCs by qRT-PCR. The miR profiles associated with tumor features were studied applying the Sparse Partial Least Squares Discriminant Analysis. MiR discrimination capability to distinguish hereditary and non-hereditary BC was analyzed by the discriminant function. With 15 out of 1,733 hsa-miRs, it was possible to differentiate the four groups. BRCA1, BRCA2 and SBC were associated with clusters of hyper-expressed miRs, and BRCAX with hypo-expressed miRs. Hsa-miR-4417 and hsa-miR-423-3p expressions (included among the eight validated miRs) differentiated 70.1 % of hereditary and non-hereditary BCs. We found miR profiles associated with tumor features like node involvement, histological grade, ER, PR and HER2 expression. Regarding molecular parameters, we only found a weak association of miRs in BC harboring losses in AURKA. We conclude that array miR expression profiles can differentiate the four study groups using FFPE BC. However, miRs expression estimated by qRT-PCR differentiates only hereditary and non-inherited BCs. The miR expression array is a simple and rapid approach that could be useful to facilitate the identification of those SBC carrying genetic or epigenetic changes in BRCA genes responsible of BRCA-like phenotype. These patients could benefit from the treatment with PARP inhibitors.

[The new challenge in oncology: Next-generation sequencing and its application in precision medicine]. / El nuevo reto en oncología: la secuenciación NGS y su aplicación a la medicina de precisión.

Precision Medicine is an emerging approach for the diagnosis, treatment and prognosis of genetic diseases that enables clinicians to more accurately predict which treatment strategy will be optimal in a patient. The aim of Precision Medicine in Oncology is to integrate clinical, histological, and molecular data in order to obtain a deeper knowledge about the biology and genetics of an individual's tumour. Over the last few years, the implementation of new NGS (Next Generation Sequencing) technologies into clinical practice has been essential. There is a wide variety of NGS techniques that can be used in this context. The correct interpretation of molecular changes detected by these techniques is paramount for their appropriate use. In this review, a discussion is presented on the main NGS sequencing technologies that can be used to improve the diagnosis, prognosis, and treatment of oncology patients.

Genomic loss of 18p predicts an adverse clinical outcome in patients with high-risk breast cancer.

The impact of the genomic imbalances on the clinical outcome of 34 patients with lymph-node positive high-risk breast cancer (HRBC) was investigated using comparative genomic hybridization. All of the patients were uniformly treated with high-dose chemotherapy and autologous stem cell transplantation. The average number of chromosomal imbalances per tumor was 11 (range, 2-24), including DNA overrepresentation on chromosomes 1q (59%), 17q (38%), 8q and 16p (35% each), 20q (32%), and 19p (26%), and genomic losses involving 9p and 18q (41%), 8p, 11q, and 18p (38%), 17p (32%), 4p and Xq (29%), and 16q (26%). The most significant association among genomic changes and clinical-pathological features was the correlation of the loss of 8p with progesterone receptor positivity (P < 0.005). With a median follow-up time of 74 months, 15 patients (44%) have relapsed. In the univariate analysis, patients with gain/amplification of 17q including the HER-2/neu gene locus had a longer disease-free survival (P = 0.02), whereas those with genomic loss of 18p had a higher probability of relapse (P = 0.003). In multivariate analysis, the loss of 18p was the only parameter correlated with shorter disease-free survival (relative risk, 4.8; 95% confidence interval, 1.57-14.8; P = 0.006). In summary, our data indicate that the tumoral genomic profile may represent a valuable marker for predicting the clinical outcome in HRBC. Furthermore, the genomic loss of 18p may identify a poor prognostic subgroup of patients with HRBC.

Genomic abnormalities acquired in the blastic transformation of splenic marginal zone B-cell lymphoma.

Among 20 cases of typical splenic marginal zone lymphoma (SMZL), two cases had blastic transformation. The genetic mechanisms underlying the morphologic transformation were investigated by comparing genetic changes in initial and blastic phases. A complex karyotype including trisomy of 3q and genomic gain of 17q22-q24 was seen in both cases at diagnosis. However, the extra copy of 3q was lost during the transformation process in both tumors. Additionally, the Karpas 1718 cell line, which was derived from a patient with transformed SMZL and carried a trisomy of 3q, also evidenced the spontaneous loss of the extra 3q during the culturing process. Other acquired abnormalities observed exclusively in the transformation phase included amplification and/or translocation of bands 7p22-q22 and 19p13. These findings suggest that the loss of + 3q and the acquisition of other genomic imbalances may represent unique markers for the transformation process of SMZL. We hypothesize that the trisomy of 3q may correlate with the indolent nature of SMZL, and that the loss of this acquired abnormality leads to or accompanies the development of blastic tumors.

Single-nucleotide polymorphism array-based karyotyping of acute promyelocytic leukemia.

Acute promyelocytic leukemia (APL) is characterized by the t(15;17)(q22;q21), but additional chromosomal abnormalities (ACA) and other rearrangements can contribute in the development of the whole leukemic phenotype. We hypothesized that some ACA not detected by conventional techniques may be informative of the onset of APL. We performed the high-resolution SNP array (SNP-A) 6.0 (Affymetrix) in 48 patients diagnosed with APL on matched diagnosis and remission sample. Forty-six abnormalities were found as an acquired event in 23 patients (48%): 22 duplications, 23 deletions and 1 Copy-Neutral Loss of Heterozygocity (CN-LOH), being a duplication of 8(q24) (23%) and a deletion of 7(q33-qter) (6%) the most frequent copy-number abnormalities (CNA). Four patients (8%) showed CNAs adjacent to the breakpoints of the translocation. We compared our results with other APL series and found that, except for dup(8q24) and del(7q33-qter), ACA were infrequent (≤3%) but most of them recurrent (70%). Interestingly, having CNA or FLT3 mutation were mutually exclusive events. Neither the number of CNA, nor any specific CNA was associated significantly with prognosis. This study has delineated recurrent abnormalities in addition to t(15;17) that may act as secondary events and could explain leukemogenesis in up to 40% of APL cases with no ACA by conventional cytogenetics.

Assessing an improved protocol for plasma microRNA extraction.

The first step in biomarkers discovery is to identify the best protocols for their purification and analysis. This issue is critical when considering peripheral blood samples (plasma and serum) that are clinically interesting but meet several methodological problems, mainly complexity and low biomarker concentration. Analysis of small molecules, such as circulating microRNAs, should overcome these disadvantages. The present study describes an optimal RNA extraction method of microRNAs from human plasma samples. Different reagents and commercially available kits have been analyzed, identifying also the best pre-analytical conditions for plasma isolation. Between all of them, the column-based approaches were shown to be the most effective. In this context, miRNeasy Serum/Plasma Kit (from Qiagen) rendered more concentrated RNA, that was better suited for microarrays studies and did not require extra purification steps for sample concentration and purification than phenol based extraction methods. We also present evidences that the addition of low doses of an RNA carrier before starting the extraction process improves microRNA purification while an already published carrier dose can result in significant bias over microRNA profiles. Quality controls for best protocol selection were developed by spectrophotometry measurement of contaminants and microfluidics electrophoresis (Agilent 2100 Bioanalyzer) for RNA integrity. Selected donor and patient plasma samples and matched biopsies were tested by Affymetrix microarray technology to compare differentially expressed microRNAs. In summary, this study defines an optimized protocol for microRNA purification from human blood samples, increasing the performance of assays and shedding light over the best way to discover and use these biomarkers in clinical practice.

Heart failure entails significant changes in human nucleocytoplasmic transport gene expression.

BACKGROUND: Heart failure (HF) induces alterations in nucleocytoplasmic transport, which is essential to the cardiomyocyte biology. The objective of this study was to analyze the changes in gene expression in human HF, particularly focusing on nucleocytoplasmic transport-related genes. METHODS AND RESULTS: 29 RNA heart samples from dilated cardiomyopathy (DCM, n = 12) and ischemic cardiomyopathy (ICM, n = 12) patients undergoing heart transplantation and control donors (CNT, n = 5) were extracted to perform a microarray profiling using Affymetrix Human Gene® 1.0 ST arrays. We focused on the study of 5 nucleocytoplasmic transport-related genes, since this functional category has not previously been studied in HF. XPO1, GABPB2, and RANBP17 were upregulated, while KALRN was downregulated in both DCM and ICM, and XPO5 only in DCM. Validation of the results by RT-qPCR increasing the total heart samples up to 41 showed a high degree of consistency with microarray results. Moreover, we observed a strong relationship between the XPO1 mRNA and robust left ventricular function parameters in ICM: left ventricular end-systolic (r = 0.81, p<0.0001) and end-diastolic diameters (r = 0.80, p<0.0001), and ejection fraction (r = -0.57, p<0.05). CONCLUSIONS: We show that the expression of nucleocytoplasmic transport-related genes is altered in HF. Furthermore, XPO1 mRNA level is closely related with robust left ventricular function parameters in ICM patients. These changes may help to distinguish DCM and ICM in HF at the level of the transcriptome and provide a base for novel therapeutic approaches.

MALT1 is deregulated by both chromosomal translocation and amplification in B-cell non-Hodgkin lymphoma.

The MALT1 gene was identified through its involvement in t(11;18)(q21;q21), seen in 30% of cases of mucosa-associated lymphoid tissue (MALT) lymphoma. Here, we show that deregulated MALT1 expression may occur in B-cell non-Hodgkin lymphoma (B-NHL) of various histologic subtypes either through translocation to the immunoglobulin heavy chain (IGH) locus or by genomic amplification. First, 2 cases, one case of MALT lymphoma and another of aggressive marginal zone lymphoma (MZL) with t(14;18)(q32;q21), cytogenetically identical to the translocation involving BCL2, were shown by fluorescence in situ hybridization (FISH) to involve MALT1, which lies about 5 Mb centromeric of BCL2. Molecular cloning of both by long-distance inverse polymerase chain reaction showed breakpoints lying 1 to 2 kilobase (kb) centromeric of the first 5' MALT1 exon; both cases showed MALT1 overexpression at either RNA or protein levels. Second, we examined the structure and gene expression profile of genomic amplifications involving 18q21 in a panel of 40 B-NHL cell lines using comparative genomic hybridization to microarrays (array CGH) and gene expression profiling techniques. Using array CGH, 2 peaks of genomic amplification were observed, one centered around BCL2 and the other around MALT1. Ofthe 3 cell lines with MALT1 amplification, 2 showed MALT1 overexpression as assessed by gene profiling, quantitative reverse transcription-polymerase chain reaction (QRT-PCR), and Western blotting. To determine if comparable events occurred in primary MALT and splenic MZL tumors, 40 cases were analyzed by FISH or QRT-PCR; genomic amplification and MALT1 overexpression were seen in 2 cases. Together, these data implicate MALT1 as a dominant oncogene that may play a role in the pathogenesis of B-NHL.