109 research outputs found
Functional characterization of two enhancers located downstream FOXP2
Background: Mutations in the coding region of FOXP2 are known to cause speech and language impairment. However, it is not clear how dysregulation of the gene contributes to language deficit. Interestingly, microdeletions of the region downstream the gene have been associated with cognitive deficits. Methods: Here, we investigate changes in FOXP2 expression in the SK-N-MC neuroblastoma human cell line after deletion by CRISPR-Cas9 of two enhancers located downstream of the gene. Results: Deletion of any of these two functional enhancers downregulates FOXP2, but also upregulates the closest 3′ gene MDFIC. Because this effect is not statistically significant in a HEK 293 cell line, derived from the human kidney, both enhancers might confer a tissue specific regulation to both genes. We have also found that the deletion of any of these enhancers downregulates six well-known FOXP2 target genes in the SK-N-MC cell line. Conclusions: We expect these findings contribute to a deeper understanding of how FOXP2 and MDFIC are regulated to pace neuronal development supporting cognition, speech and language.Spanish National Research and Development Plan PI14/01884Instituto de Salud Carlos III PI14/01884FEDER PI14/0188
Exportación de puertas de aluminio de España a Venezuela: Gexpoalum, S.L.
Desarrollo de un proyecto de fin de Master de Comercio exterior sobre Exportación de puertas de aluminio de España a Venezuela. Se buscó un producto duradero y tecnológicamente desarrollado,a fin que sus características físicas permitiese cubrir de una forma adecuada las demandas existentes en el mercado internacional, bajo una rentabilidad aceptable y la factibilidad de una posible expansión a mediano plazo en la cuota de mercado.
«Puertas de aluminio tipo sándwich».
Este producto, que mantiene un alto nivel de competitividad en la UE y bajo coste por la tecnología empleada en su fabricación en España, se plantea explorar el
nicho de negocio y la posible demanda existente en Sudamérica, en especial Venezuela, donde los últimos años ha aumentado considerablemente la expansión en el
sector de la construcción en las zonas costeras.Los autores constituyeron la Empresa GEXPOALUM SL., la cual realizó los Estudios, linimientos estratégicos, trámites legales administrativos y de coordinación, así como de negocio para lograr conseguir el proveedor más adecuado, que nos ofrecerá el mejor precio con objeto de obtener
una adecuada rentabilidad
Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children
12 p.This study shows the feasibility of an eHealth solution for tackling eating habits and physical activity in the adolescent population. The participants were children from 11 to 15 years old. An intervention was carried out on 139 students in the intervention group and 91 students in the control group, in two schools during 14 weeks. The intervention group had access to the web through a user account and a password. They were able to create friendship relationships, post comments, give likes and interact with other users, as well as receive notifications and information about nutrition and physical activity on a daily basis and get (virtual) rewards for improving their habits. The control group did not have access to any of these features. The homogeneity of the samples in terms of gender, age, body mass index and initial health-related habits was demonstrated. Pre- and post-measurements were collected through self-reports on the application website. After applying multivariate analysis of variance, a significant alteration in the age-adjusted body mass index percentile was observed in the intervention group versus the control group, as well as in the PAQ-A score and the KIDMED score. It can be concluded that eHealth interventions can help to obtain healthy habits. More research is needed to examine the effectiveness in achieving adherence to these new habits.S
Multi‑omic alterations of the SWI/SNF complex define a clinical subgroup in lung adenocarcinoma
PPM's lab is funded by the Ministry of Economy of Spain (SAF2015-67919-R), Junta de Andalucia (P20-00688, PI-0135-2020, PIGE-0213-2020, PIGE-04402019, PI-0245-2017), University of Granada (B-CTS-480-UGR20), International Association for the Study of Lung Cancer (IASLC), and Spanish Association for Cancer Research (LAB-AECC-2018). PP is supported by a PhD "La Caixa Foundation"LCF/BQ/DE15/10360019 Fellowship. AA is supported by an FPU17/00067 fellowship. IFC was supported by a PhD FPI-fellowship (BES-2013-064596). DJG was supported by a "Fundacion Benefica Anticancer Santa Candida y San Francisco Javier"predoctoral fellowship. MSBC and CC's work is supported by the project DPI2017-84439-R Ministry of Economy of Spain and FEDER and by the fellowship "Beca de Iniciacion a la Investigacion del Plan Propio de Investigacion 2019" by University of Granada. MSBC is supported by an FPU19/00576 predoctoral fellowship. CNIO Proteomics Unit is a member of Proteored PRB3 and is supported by grant PT17/0019, of the PE I + D + i 2013-2016, funded by ISCIII and ERDF.SWI/SNF complexes are major targets of mutations in cancer. Here, we combined multiple “-omics” methods to assess
SWI/SNF composition and aberrations in LUAD. Mutations in lung SWI/SNF subunits were highly recurrent in our
LUAD cohort (41.4%), and over 70% of the mutations were predicted to have functional impact. Furthermore, SWI/
SNF expression in LUAD suffered an overall repression that could not be explained exclusively by genetic alterations.
Finally, SWI/SNF mutations were associated with poorer overall survival in TCGA-LUAD. We propose SWI/SNF-mutant
LUAD as a separate clinical subgroup with practical implications.Spanish Government SAF2015-67919-R
DPI2017-84439-RJunta de Andalucia P20-00688
PI-0135-2020
PIGE-0213-2020
PIGE-0440-2019
PI-0245-2017University of Granada B-CTS-480-UGR20International Association for the Study of Lung Cancer (IASLC)Spanish Association for Cancer Research LAB-AECC-2018La Caixa Foundation LCF/BQ/DE15/10360019PhD FPI-fellowship BES-2013-064596"Fundacion Benefica Anticancer Santa Candida y San Francisco Javier" predoctoral fellowshipEuropean Commissionfellowship "Beca de Iniciacion a la Investigacion del Plan Propio de Investigacion 2019" by University of Granada
Instituto de Salud Carlos III PT17/0019European Commission PT17/0019
FPU17/00067
FPU19/0057
A Phase I-II multicenter trial with Avelumab plus autologous dendritic cell vaccine in pre-treated mismatch repair-proficient (MSS) metastatic colorectal cancer patients; GEMCAD 1602 study
[Background]: Immune check-point blockade (ICB) has shown clinical beneft in mismatch repair-defcient/microsatellite instability high metastatic colorectal cancer (mCRC) but not in mismatch repair-profcient/microsatellite stable patients. Cancer vaccines with autologous dendritic cells (ADC) could be a complementary therapeutic approach to ICB as this combination
has the potential to achieve synergistic efects.
[Methods]: This was a Phase I/II multicentric study with translational sub-studies, to evaluate the safety, pharmacodynamics and anti-tumor efects of Avelumab plus ADC vaccine in heavily pre-treated MSS mCRC patients. Primary objective was to determine the maximum tolerated dose and the efcacy of the combination. The primary end-point was 40% progressionfree survival at 6 months with a 2 Simon Stage.
[Results]: A total of 28 patients were screened and 19 pts were included. Combined therapy was safe and well tolerated. An interim analysis (Simon design frst-stage) recommended early termination because only 2/19 (11%) patients were disease free at 6 months. Median PFS was 3.1 months [2.1–5.3 months] and overall survival was 12.2 months [3.2–23.2 months]. Stimulation of immune system was observed in vitro but not clinically. The evaluation of basal RNA-seq noted signifcant changes between pre and post-therapy liver biopsies related to lipid metabolism and transport, infammation and oxidative stress pathways.
[Conclusions]: The combination of Avelumab plus ADC vaccine is safe and well tolerated but exhibited modest clinical activity. Our study describes, for the frst-time, a de novo post-therapy metabolic rewiring, that could represent novel immunotherapyinduced tumor vulnerabilities.The study was funded by grants from the FIS PI17/00732 from Instituto de Salud Carlos III, Premi Fi de Residència Emili Letang from Hospital Clínic Barcelona, Plan Nacional de I + D (PID-107139RB-C21 to DB-R and PID2020-115051RB-I00 to MC) and Grupo Español Multidisciplinar en Cáncer Digestivo (GEMCAD). The study was funded with Grants from Catalan Agency for Management of University and Research Grants (AGAUR) (2014-SGR-474, 2017-SGR-1174 and 2017-SGR-1033), Fundació la Marató de TV3 (201330.10), Instituto de Salud Carlos III (PI13/01728 and PI19/00740) and Fundacion Olga Torres (Modalitat A. 2019/2020) to JM. IMMETCOLS signature is under patent protection (EP21382772.8.) This research was financially supported by GEMCAD and (OR Avelumab was provided) by Merck, S.L.U., Madrid, Spain, an affiliate of Merck KGaA, Darmstadt, Germany, as part of an alliance between the healthcare business of Merck KGaA, Darmstadt, Germany (CrossRef Funder ID: https://doi.org/10.13039/100009945) and Pfizer
A novel gene signature unveils three distinct immune- metabolic rewiring patterns conserved across diverse tumor types and associated with outcomes
Existing immune signatures and tumor mutational burden have only modest predictive capacity for the efficacy of immune check point inhibitors. In this study, we developed an immune-metabolic signature suitable for personalized ICI therapies. A classifier using an immune-metabolic signature (IMMETCOLS) was developed on a training set of 77 metastatic colorectal cancer (mCRC) samples and validated on 4,200 tumors from the TCGA database belonging to 11 types. Here, we reveal that the IMMETCOLS signature classifies tumors into three distinct immune-metabolic clusters. Cluster 1 displays markers of enhanced glycolisis, hexosamine byosinthesis and epithelial-to-mesenchymal transition. On multivariate analysis, cluster 1 tumors were enriched in pro-immune signature but not in immunophenoscore and were associated with the poorest median survival. Its predicted tumor metabolic features suggest an acidic-lactate-rich tumor microenvironment (TME) geared to an immunosuppressive setting, enriched in fibroblasts. Cluster 2 displays features of gluconeogenesis ability, which is needed for glucose-independent survival and preferential use of alternative carbon sources, including glutamine and lipid uptake/β-oxidation. Its metabolic features suggest a hypoxic and hypoglycemic TME, associated with poor tumor-associated antigen presentation. Finally, cluster 3 is highly glycolytic but also has a solid mitochondrial function, with concomitant upregulation of glutamine and essential amino acid transporters and the pentose phosphate pathway leading to glucose exhaustion in the TME and immunosuppression. Together, these findings suggest that the IMMETCOLS signature provides a classifier of tumors from diverse origins, yielding three clusters with distinct immune-metabolic profiles, representing a new predictive tool for patient selection for specific immune-metabolic therapeutic approaches
Acceleration of the DNA methylation clock among lynch syndrome‑associated mutation carriers
The research leading to these results has received funding from "la Caixa" Foundation (Ref: CAIXA2017/1) for library preparation, sequencing, and employment of research personnel, from The Fundacion Progreso y Salud, Junta de Andalucia, Spain and from DPI2017-84439-R of MINECO, Madrid and FEDER for sequencing and employment of research personnel. Finally, grant ref. A-BIO-470-UGR20 from University of Granada and FEDER has funded article processing charges (APC) and sample processing expenses.Background: DNA methylation (DNAm) age metrics have been widely accepted as an epigenetic biomarker for biological
aging and disease. The purpose of this study is to assess whether or not individuals carrying Lynch Syndromeassociated
mutations are affected in their rate of biological aging, as measured by the epigenetic clock.
Methods: Genome-wide bisulfite DNA sequencing data were generated using DNA from CD4 + T-cells obtained
from peripheral blood using 27 patient samples from Lynch syndrome families. Horvath’s DNAm age model based on
penalized linear regression was applied to estimate DNAm age from patient samples with distinct clinical and genetic
characteristics to investigate cancer mutation-related aging effects.
Results: Both Lynch mutation carriers and controls exhibited high variability in their estimated DNAm age, but
regression analysis showed steeper slope for the Lynch mutation carriers. Remarkably, six Lynch Syndrome-associated
mutation carriers showed a strong correlation to the control group, and two sisters carrying Lynch Syndrome-associated
mutations, with no significant difference in lifestyle and similar chronological age, were assigned very different
DNAm age.
Conclusions: Future studies will be required to explore, in larger patient populations, whether specific epigenetic
age acceleration is predictive of time-to-cancer development, treatment response, and survival. Epigenetic clock
DNAm metrics may be affected by the presence of cancer mutations in the germline, and thus show promise of
potential clinical utility for stratified surveillance strategies based on the relative risk for imminent emergence of
tumor lesions in otherwise healthy Lynch Syndrome-associated mutation carriers.La Caixa Foundation CAIXA2017/1Junta de AndaluciaSpanish Government DPI2017-84439-REuropean CommissionUniversity of Granada A-BIO-470-UGR2
Table_4_A novel gene signature unveils three distinct immune-metabolic rewiring patterns conserved across diverse tumor types and associated with outcomes.docx [Dataset]
Supplementary Table S4: Important features identified by One-way ANOVA and post-hoc analysis (Fisher’s LSD) comparing the expression of immune signatures in the IMMETCOLS Clusters.Existing immune signatures and tumor mutational burden have only modest predictive capacity for the efficacy of immune check point inhibitors. In this study, we developed an immune-metabolic signature suitable for personalized ICI therapies. A classifier using an immune-metabolic signature (IMMETCOLS) was developed on a training set of 77 metastatic colorectal cancer (mCRC) samples and validated on 4,200 tumors from the TCGA database belonging to 11 types. Here, we reveal that the IMMETCOLS signature classifies tumors into three distinct immune-metabolic clusters. Cluster 1 displays markers of enhanced glycolisis, hexosamine byosinthesis and epithelial-to-mesenchymal transition. On multivariate analysis, cluster 1 tumors were enriched in pro-immune signature but not in immunophenoscore and were associated with the poorest median survival. Its predicted tumor metabolic features suggest an acidic-lactate-rich tumor microenvironment (TME) geared to an immunosuppressive setting, enriched in fibroblasts. Cluster 2 displays features of gluconeogenesis ability, which is needed for glucose-independent survival and preferential use of alternative carbon sources, including glutamine and lipid uptake/β-oxidation. Its metabolic features suggest a hypoxic and hypoglycemic TME, associated with poor tumor-associated antigen presentation. Finally, cluster 3 is highly glycolytic but also has a solid mitochondrial function, with concomitant upregulation of glutamine and essential amino acid transporters and the pentose phosphate pathway leading to glucose exhaustion in the TME and immunosuppression. Together, these findings suggest that the IMMETCOLS signature provides a classifier of tumors from diverse origins, yielding three clusters with distinct immune-metabolic profiles, representing a new predictive tool for patient selection for specific immune-metabolic therapeutic approaches.Peer reviewe
Table_5_A novel gene signature unveils three distinct immune-metabolic rewiring patterns conserved across diverse tumor types and associated with outcomes.docx [Dataset]
Supplementary Table S5: Important features identified by One-way ANOVA and post-hoc analysis (Fisher’s LSD) comparing the expression of immune genes in the IMMETCOLS Clusters.Existing immune signatures and tumor mutational burden have only modest predictive capacity for the efficacy of immune check point inhibitors. In this study, we developed an immune-metabolic signature suitable for personalized ICI therapies. A classifier using an immune-metabolic signature (IMMETCOLS) was developed on a training set of 77 metastatic colorectal cancer (mCRC) samples and validated on 4,200 tumors from the TCGA database belonging to 11 types. Here, we reveal that the IMMETCOLS signature classifies tumors into three distinct immune-metabolic clusters. Cluster 1 displays markers of enhanced glycolisis, hexosamine byosinthesis and epithelial-to-mesenchymal transition. On multivariate analysis, cluster 1 tumors were enriched in pro-immune signature but not in immunophenoscore and were associated with the poorest median survival. Its predicted tumor metabolic features suggest an acidic-lactate-rich tumor microenvironment (TME) geared to an immunosuppressive setting, enriched in fibroblasts. Cluster 2 displays features of gluconeogenesis ability, which is needed for glucose-independent survival and preferential use of alternative carbon sources, including glutamine and lipid uptake/β-oxidation. Its metabolic features suggest a hypoxic and hypoglycemic TME, associated with poor tumor-associated antigen presentation. Finally, cluster 3 is highly glycolytic but also has a solid mitochondrial function, with concomitant upregulation of glutamine and essential amino acid transporters and the pentose phosphate pathway leading to glucose exhaustion in the TME and immunosuppression. Together, these findings suggest that the IMMETCOLS signature provides a classifier of tumors from diverse origins, yielding three clusters with distinct immune-metabolic profiles, representing a new predictive tool for patient selection for specific immune-metabolic therapeutic approaches.Peer reviewe
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