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Dive into the research topics where Bernat Gel is active.

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Featured researches published by Bernat Gel.


Cell Research | 2008

Overlapping expression of microRNAs in human embryonic colon and colorectal cancer.

Mariano Monzo; Alfons Navarro; Eva Bandrés; Rosa Artells; Isabel Moreno; Bernat Gel; Rafael Ibeas; José A. Moreno; Francisco Martinez; Tania Díaz; Antonio Martinez; Olga Balagué; Jesús García-Foncillas

MicroRNAs (miRNAs) are essential for regulating cell differentiation and maintaining the pluripotent state of stem cells. Although dysregulation of specific miRNAs has been associated with certain types of cancer, to date no evidence has linked miRNA expression in embryonic and tumor tissues. We assessed the expression of mature miRNAs in human embryonic colon tissue, and in colorectal cancer and paired normal colon tissue. Overlapping miRNA expression was detected between embryonic colonic mucosa and colorectal cancer. We have found that the miR-17-92 cluster and its target, E2F1, exhibit a similar pattern of expression in human colon development and colonic carcinogenesis, regulating cell proliferation in both cases. In situ hybridization confirmed the high level of expression of miR-17-5p in the crypt progenitor compartment. We conclude that miRNA pathways play a major role in both embryonic development and neoplastic transformation of the colonic epithelium.


Blood | 2009

Regulation of JAK2 by miR-135a: prognostic impact in classic Hodgkin lymphoma.

Alfons Navarro; Tania Díaz; Antonio Martinez; Anna Gaya; Aina Pons; Bernat Gel; Carles Codony; Gerardo Ferrer; Carmen Martinez; Emili Montserrat; Mariano Monzo

The behavior of classic Hodgkin lymphoma (cHL) is determined by both the intrinsic features of the tumor cells and the characteristics of the microenvironment, making the analysis of entire lymph nodes an effective approach to understanding the disease. We examined the influence of our previously reported 25-microRNA signature for cHL on clinical outcome in 89 homogeneously treated cHL patients with a median follow-up of 80 months. Patients with low miR-135a expression had a higher probability of relapse (P = .04) and a shorter disease-free survival (P = .02). Functional analysis of cHL cell lines showed that mature miR-135a levels increased after pre-miR-135a transfection, causing apoptosis and decreased cell growth. Target analysis showed a direct regulation by miR-135a of JAK2, a cytoplasmic tyrosine kinase involved in a specific subset of cytokine receptor signaling pathways. miR-135a-mediated JAK2 down-regulation led to decreased mRNA and protein levels of the antiapoptotic gene Bcl-xL, suggesting a role for Bcl-xL in miR-135a/JAK2-mediated apoptosis. Our findings confirm the critical role of miR-135a in the survival of cHL cells and in the prognosis of cHL patients, indicating that novel treatment approaches targeting miR-135a may potentially benefit these patients.


Oncology | 2007

Single Nucleotide Polymorphisms in Nucleotide Excision Repair Genes XPA, XPD, XPG and ERCC1 in Advanced Colorectal Cancer Patients Treated with First-Line Oxaliplatin/Fluoropyrimidine

Mariano Monzo; Isabel Moreno; Alfons Navarro; Rafael Ibeas; Rosa Artells; Bernat Gel; Francisco Martinez; José A. Moreno; Raquel Hernandez; Marta Navarro-Vigo

Background/Aims: Oxaliplatin damages the DNA, leading to apoptosis. XPA, XPD, ERCC1 and XPG genes are involved in DNA repair, and single nucleotide polymorphisms (SNPs) in these genes can influence the efficacy of oxaliplatin. We examined SNPs in these genes and correlated the results with time to progression (TTP), overall survival and response to oxaliplatin in 42 advanced colorectal cancer patients (CRC) treated with first-line oxaliplatin/fluoropyrimidine. Methods: DNA was obtained from peripheral blood cells, and the allelic discrimination assay was used to analyze the XPA 5′UTR T/C, XPD Lys751Gln, ERCC1 Lys259Thr and XPG, C/T. Results: Patients with XPG C/C genotype had a longer survival (p = 0.001) and TTP (p = 0.009) than patients with XPG C/T or T/T genotypes, and patients with both XPG C/C and XPA T/C or C/C genotypes had a longer survival (p = 0.0001) and TTP (p = 0.0001) than patients with other genotypes. XPG (CC) combined with XPA (TC/CC) genotypes showed an independent role for TTP (relative risk, RR = 6.38; p = 0.0001) and survival (RR = 34; p = 0.0005). Conclusion: Polymorphism in XPG combined with XPA may be an important prognosticator of clinical outcome following oxaliplatin/ fluoropyrimidine chemotherapy. Further studies in larger patient cohorts are warranted to confirm their role in CRC.


European Journal of Cancer | 2010

Tumour CD133 mRNA expression and clinical outcome in surgically resected colorectal cancer patients

Rosa Artells; Isabel Moreno; Tania Díaz; F. Martínez; Bernat Gel; Alfons Navarro; R. Ibeas; J. Moreno; Mariano Monzo

BACKGROUND Human prominin-1 (CD133) is a novel pentaspan membrane protein which was originally classified as a marker of primitive haematopoietic and neural stem cells. Cancer stem cells have been isolated and expanded from leukaemia and several solid tumours, and have been associated with metastasis, chemoresistance and relapse. CD133 is recognised as a stem cell marker and is capable of identifying a tumour-initiating subpopulation in brain, colon, melanoma and other solid tumours. METHODS We assessed CD133 mRNA expression levels by RT-QPCR in tumour and matched normal tissue from 64 stages I-III colorectal cancer (CRC) patients and correlated tumour CD133 levels with clinicopathological characteristics and clinical outcome. RESULTS In four patients, CD133 mRNA was not expressed in tumour or in normal tissue. In the remaining 60 patients, expression levels were higher in tumour than in normal tissue (p=0.001). Higher levels of CD133 expression were associated with shorter relapse-free interval (RFI) (p=0.004) and overall survival (OS) (p<0.0001). In the multivariate analyses, CD133 levels emerged as a prognostic marker for RFI and OS. CONCLUSIONS We have observed longer RFI and OS in patients with lower levels of CD133, regardless of adjuvant treatment and other clinical characteristics. If these findings are confirmed in larger prospective studies, CD133 assessment may prove useful for new diagnostic and therapeutic procedures for CRC patients.


Journal of Surgical Oncology | 2011

Prognostic implications of miR-16 expression levels in resected non-small-cell lung cancer.

Alfons Navarro; Tania Díaz; Elena Gallardo; Nuria Viñolas; Ramon Marrades; Bernat Gel; Marc Campayo; Angels Quera; Eva Bandrés; Jesús García-Foncillas; José Ramírez; Mariano Monzo

MicroRNAs are novel regulators of gene expression that are linked to the main oncogene networks, including the p53 pathway. p53 regulates the maturation process of miR‐16 and miR‐143. We analyzed the role as prognostic markers of miR‐16 and miR‐143 in 70 non‐small‐cell lung cancer (NSCLC) patients.


Bioinformatics | 2015

regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests

Bernat Gel; Anna Díez-Villanueva; Eduard Serra; Marcus Buschbeck; Miguel A. Peinado; Roberto Malinverni

Motivation: Statistically assessing the relation between a set of genomic regions and other genomic features is a common challenging task in genomic and epigenomic analyses. Randomization based approaches implicitly take into account the complexity of the genome without the need of assuming an underlying statistical model. Summary: regioneR is an R package that implements a permutation test framework specifically designed to work with genomic regions. In addition to the predefined randomization and evaluation strategies, regioneR is fully customizable allowing the use of custom strategies to adapt it to specific questions. Finally, it also implements a novel function to evaluate the local specificity of the detected association. Availability and implementation: regioneR is an R package released under Artistic-2.0 License. The source code and documents are freely available through Bioconductor (http://www.bioconductor.org/packages/regioneR). Contact: [email protected]


PLOS ONE | 2011

Lestaurtinib Inhibition of the JAK/STAT Signaling Pathway in Hodgkin Lymphoma Inhibits Proliferation and Induces Apoptosis

Tania Díaz; Alfons Navarro; Gerardo Ferrer; Bernat Gel; Anna Gaya; Rosa Artells; Beatriz Bellosillo; Mar Garcia-Garcia; Sergi Serrano; Antonio Martinez; Mariano Monzo

Standard cytotoxic chemotherapy for Hodgkin Lymphoma (HL) has changed little in 30 years; the treatment for patients with relapsed or refractory disease remains challenging and novel agents are under development. JAK/STAT constitutive activation plays an important role in the pathogenesis of HL. Lestaurtinib is an orally bioavailable multikinase inhibitor that has recently been shown to inhibit JAK2 in myeloproliferative disorders. The potential role of Lestaurtinib in HL therapy is unknown. We have analyzed the effect of Lestaurtinib treatment in five HL cell lines from refractory patients, L-428, L-1236, L-540, HDML-2 and HD-MY-Z. At 48 h, a dose-dependent cell growth inhibition (23%–66% at 300 nM) and apoptotic increment (10%–64% at 300 nM) were observed. Moreover, Lestaurtinib inhibited JAK2, STAT5 and STAT3 phosphorylation and reduced the mRNA expression of its downstream antiapoptotic target Bcl-xL. In addition, we have analyzed the effect of Lestaurtinib treatment in lymph nodes from four classic HL patients. We observed a decrease in cell viability at 24 hours of treatment in three patients (mean decrease of 27% at 300 nM). Our findings provide, for the first time, a molecular rationale for testing JAK2 inhibitors, specifically Lestaurtinib, in HL patients.


Blood | 2008

Common variants in NLRP2 and NLRP3 genes are strong prognostic factors for the outcome of HLA-identical sibling allogeneic stem cell transplantation

Miquel Granell; Alvaro Urbano-Ispizua; Aina Pons; Juan Iognacio Arostegui; Bernat Gel; Alfons Navarro; Sonia Jansa; Rosa Artells; Anna Gaya; Carme Talarn; Francesc Fernández-Avilés; Carmen Martínez; Montserrat Rovira; Enric Carreras; Ciril Rozman; Manel Juan; Jordi Yagüe; Emili Montserrat; Mariano Monzo

The inflammasomes are macromolecular cytosolic complexes involved in the production of interleukin-1beta (IL-1beta) and IL-18 in response to several pathogen-derived stimuli. Such interleukins have been implicated in the origin of severe allogeneic stem cell transplant (allo-SCT) complications. We analyzed the relationship between the interindividual variability in inflammasome protein-encoding genes in donors and patients and clinical outcome after allo-SCT. Fourteen common genetic variants in 5 genes of the inflammasome, namely, NLRP1, NLRP2, NLRP3, CARD8, and CASP5, were genotyped in 133 human leukocyte antigen-identical sibling pairs undergoing allo-SCT. In the multivariate analysis, donor variants in NLRP2 and NLRP3 were the most important prognostic factors for the clinical outcome after allo-SCT. Thus, donor TT genotype at rs10925027 in NLRP3 was associated with disease relapse (odds ratio (OR) = 6.3, P = 1 x 10(-7)), and donor GG genotype at rs1043684 in NLRP2 was associated with nonrelapse mortality (OR = 4.4, P = 6 x 10(-4)) and overall survival (OR = 3.1, P = .001). In addition, patient AA genotype at rs5862 in NLRP1 was associated with nonrelapse mortality (OR = 2.8, P = .005) and overall survival (OR = 2.0, P = .009). These results suggest that inflammasome genetic variants are important prognostic factors for the outcome of allo-SCT. If validated in larger studies, including unrelated allo-SCT, NLRPs genotype would become an important factor in donor selection.


PLOS ONE | 2013

MiR-SNPs as Markers of Toxicity and Clinical Outcome in Hodgkin Lymphoma Patients

Alfons Navarro; Carmen Muñoz; Anna Gaya; Marina Díaz-Beyá; Bernat Gel; Rut Tejero; Tania Díaz; Antonio Martinez; Mariano Monzo

Background In recent years, microRNA (miRNA) pathways have emerged as a crucial system for the regulation of tumorogenesis. miR-SNPs are a novel class of single nucleotide polymorphisms that can affect miRNA pathways. Design and Methods We analyzed eight miR-SNPs by allelic discrimination in 141 patients with Hodgkin lymphoma and correlated the results with treatment-related toxicity, response, disease-free survival (DFS) and overall survival (OS). Results The KRT81 (rs3660) GG genotype was associated with an increased risk of neurological toxicity (P = 0.016), while patients with XPO5 (rs11077) AA or CC genotypes had a higher rate of bleomycin-associated pulmonary toxicity (P = 0.048). Both miR-SNPs emerged as independent factors in the multivariate analysis. The XPO5 AA and CC genotypes were also associated with a lower response rate (P = 0.036). XPO5 (P = 0.039) and TRBP (rs784567) (P = 0.022) genotypes emerged as prognostic markers for DFS, and XPO5 was also associated with OS (P = 0.033). In the multivariate analysis, only XPO5 emerged as an independent prognostic factor for DFS (HR: 2.622; 95%CI 1.039–6.620; P = 0.041). Given the influence of XPO5 and TRBP as individual markers, we then investigated the combined effect of these miR-SNPs. Patients with both the XPO5 AA/CC and TRBP TT/TC genotypes had the shortest DFS (P = 0.008) and OS (P = 0.008). Conclusion miR-SNPs can add useful prognostic information on treatment-related toxicity and clinical outcome in Hodgkin lymphoma and can be used to identify patients likely to be chemoresistant or to relapse.


Embo Molecular Medicine | 2015

Comprehensive establishment and characterization of orthoxenograft mouse models of malignant peripheral nerve sheath tumors for personalized medicine

Joan Castellsague; Bernat Gel; Juana Fernández-Rodríguez; Roger Llatjos; Ignacio Blanco; Yolanda Benavente; Diana Pérez-Sidelnikova; Javier García-del Muro; Joan Maria Viñals; August Vidal; Rafael Valdés-Mas; Ernest Terribas; Adriana Lopez-Doriga; Miguel Angel Pujana; Gabriel Capellá; Xose S. Puente; Eduard Serra; Alberto Villanueva; Conxi Lázaro

Malignant peripheral nerve sheath tumors (MPNSTs) are soft‐tissue sarcomas that can arise either sporadically or in association with neurofibromatosis type 1 (NF1). These aggressive malignancies confer poor survival, with no effective therapy available. We present the generation and characterization of five distinct MPNST orthoxenograft models for preclinical testing and personalized medicine. Four of the models are patient‐derived tumor xenografts (PDTX), two independent MPNSTs from the same NF1 patient and two from different sporadic patients. The fifth model is an orthoxenograft derived from an NF1‐related MPNST cell line. All MPNST orthoxenografts were generated by tumor implantation, or cell line injection, next to the sciatic nerve of nude mice, and were perpetuated by 7–10 mouse‐to‐mouse passages. The models reliably recapitulate the histopathological properties of their parental primary tumors. They also mimic distal dissemination properties in mice. Human stroma was rapidly lost after MPNST engraftment and replaced by murine stroma, which facilitated genomic tumor characterization. Compatible with an origin in a catastrophic event and subsequent genome stabilization, MPNST contained highly altered genomes that remained remarkably stable in orthoxenograft establishment and along passages. Mutational frequency and type of somatic point mutations were highly variable among the different MPNSTs modeled, but very consistent when comparing primary tumors with matched orthoxenografts generated. Unsupervised cluster analysis and principal component analysis (PCA) using an MPNST expression signature of ~1,000 genes grouped together all primary tumor–orthoxenograft pairs. Our work points to differences in the engraftment process of primary tumors compared with the engraftment of established cell lines. Following standardization and extensive characterization and validation, the orthoxenograft models were used for initial preclinical drug testing. Sorafenib (a BRAF inhibitor), in combination with doxorubicin or rapamycin, was found to be the most effective treatment for reducing MPNST growth. The development of genomically well‐characterized preclinical models for MPNST allowed the evaluation of novel therapeutic strategies for personalized medicine.

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Anna Gaya

University of Barcelona

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Rosa Artells

University of Barcelona

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Aina Pons

University of Barcelona

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Tania Díaz

University of Barcelona

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Antonio Martinez

Pablo de Olavide University

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