Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers forMultipleMyeloma: AMeta-Analysis of Three Large Cohorts and Functional Characterization

European Union’s Horizon 2020 research and innovation program, N 856620Instituto de Salud Carlos III and FEDER (Madrid, SpainPI17/02256 and PI20/01845), Consejería de Transformación Económica, Industria, Conocimiento y UniversidadesDietmar Hopp Foundation and the German Ministry of Education and Science (BMBF: CLIOMMICS [01ZX1309]National Cancer Institute of the National Institutes of Health under award numbers: R01CA186646, U01CA249955 (EEB)Science and Technology (FCT)—project UIDB/50026/2020UIDP/50026/2020 and by the project NORTE-01-0145-FEDER-000055PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF

Autophagy in Hematological Malignancies

Autophagy is a highly conserved metabolic pathway via which unwanted intracellular materials, such as unfolded proteins or damaged organelles, are digested. It is activated in response to conditions of oxidative stress or starvation, and is essential for the maintenance of cellular homeostasis and other vital functions, such as differentiation, cell death, and the cell cycle. Therefore, autophagy plays an important role in the initiation and progression of tumors, including hematological malignancies, where damaged autophagy during hematopoiesis can cause malignant transformation and increase cell proliferation. Over the last decade, the importance of autophagy in response to standard pharmacological treatment of hematological tumors has been observed, revealing completely opposite roles depending on the tumor type and stage. Thus, autophagy can promote tumor survival by attenuating the cellular damage caused by drugs and/or stabilizing oncogenic proteins, but can also have an antitumoral effect due to autophagic cell death. Therefore, autophagy-based strategies must depend on the context to create specific and safe combination therapies that could contribute to improved clinical outcomes. In this review, we describe the process of autophagy and its role on hematopoiesis, and we highlight recent research investigating its role as a potential therapeutic target in hematological malignancies. The findings suggest that genetic variants within autophagy-related genes modulate the risk of developing hemopathies, as well as patient survival

Validation and functional characterization of GWAS-identified variants for chronic lymphocytic leukemia: a CRuCIAL study

This work was partially supported by the European Union's Horizon 2020 research and innovation program (grant No 856620); grants from the Instituto de Salud Carlos III (Madrid, Spain; PI17/02256 and PI20/01845); Consejeria de Economia, Conocimiento, Empresas y Universidad (Granada, Spain; A-CTS-448-UGR18); Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades (Sevilla, Spain; PY20/01282); Generalitat de Catalunya (17SGR437); Gilead Sciences Fellowship (GLD17/00282); the "Xarxa de Bancs de tumors" sponsored by Pla Director d'Oncologia de Catalunya (XBTC); the Associazione Italiana per la Ricerca sul Cancro and Fondazione Cariplo (TRIDEO 16923 and AIRC IG21436); the Spanish Association Against Cancer (AECC) Scientific Foundation grant GCTRA18022MORE; and the Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), action Genrisk. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.In conclusion, this study confirmed the association of 31 GWASidentified SNPs with CLL risk and shed some light on the function of some of these biomarkers in the modulation of TReg, B, and T cell differentiation and proliferation, blood concentrations of B cell-related proteins, cell survival, and the expression of immuneand non-immune-related loci. Though outside the scope of the current study, it is important to mention that additional functional studies using blood samples from CLL patients are still required to validate our findings and to decipher the exact biological mechanisms behind the observed associations. A potential limitation of this work was the relatively small population size of the CRuCIAL cohort that hampered the validation of the SNPs showing modest associations.European Union's Horizon 2020 research and innovation program 856620Instituto de Salud Carlos III PI17/02256 PI20/01845Consejeria de Economia, Conocimiento, Empresas y Universidad (Granada, Spain) A-CTS-448-UGR18 Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades (Sevilla, Spain) PY20/01282Generalitat de CatalunyaGeneral Electric 17SGR437Gilead Sciences GLD17/00282"Xarxa de Bancs de tumors" - Pla Director d'Oncologia de Catalunya (XBTC)Fondazione AIRC per la ricerca sul cancro Fondazione Cariplo TRIDEO 16923 AIRC IG21436Spanish Association Against Cancer (AECC) Scientific Foundation grant GCTRA18022MOREConsortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), action Genris

Type 2 Diabetes-Related Variants Influence the Risk of Developing Prostate Cancer: A Population-Based Case-Control Study and Meta-Analysis

This study was supported by grants from the FIBAO foundation (Granada, Spain) and from the Instituto de Salud Carlos III (PI12/02688, PI17/02256 and PI20/01845; Madrid, Spain).In this study, we have evaluated whether 57 genome-wide association studies (GWAS)-identified common variants for type 2 diabetes (T2D) influence the risk of developing prostate cancer (PCa) in a population of 304 Caucasian PCa patients and 686 controls. The association of selected single nucleotide polymorphisms (SNPs) with the risk of PCa was validated through meta-analysis of our data with those from the UKBiobank and FinnGen cohorts, but also previously published genetic studies. We also evaluated whether T2D SNPs associated with PCa risk could influence host immune responses by analysing their correlation with absolute numbers of 91 blood-derived cell populations and circulating levels of 103 immunological proteins and 7 steroid hormones. We also investigated the correlation of the most interesting SNPs with cytokine levels after in vitro stimulation of whole blood, peripheral mononuclear cells (PBMCs), and monocyte-derived macrophages with LPS, PHA, Pam3Cys, and Staphylococcus Aureus. The meta-analysis of our data with those from six large cohorts confirmed that each copy of the FTOrs9939609A, HNF1B(rs7501939T), HNF1B(rs75721T), HNF1B(rs4430796G), and JAZF1(rs10486567A) alleles significantly decreased risk of developing PCa (p = 3.70 x 10(-5), p = 9.39 x 10(-54), p = 5.04 x 10(-54), p = 1.19 x 10(-71), and p = 1.66 x 10(-18), respectively). Although it was not statistically significant after correction for multiple testing, we also found that the NOTCH2(rs10923931T) and RBMS1(rs7593730) SNPs associated with the risk of developing PCa (p = 8.49 x 10(-4) and 0.004). Interestingly, we found that the protective effect attributed to the HFN1B locus could be mediated by the SULT1A1 protein (p = 0.00030), an arylsulfotransferase that catalyzes the sulfate conjugation of many hormones, neurotransmitters, drugs, and xenobiotic compounds. In addition to these results, eQTL analysis revealed that the HNF1B(rs7501939), HNF1B(rs757210), HNF1B(rs4430796), NOTCH2(rs10923931), and RBMS1(rs7593730) SNPs influence the risk of PCa through the modulation of mRNA levels of their respective genes in whole blood and/or liver. These results confirm that functional TD2-related variants influence the risk of developing PCa, but also highlight the need of additional experiments to validate our functional results in a tumoral tissue context.FIBAO foundation (Granada, Spain)Instituto de Salud Carlos III PI12/02688 PI17/02256 PI20/0184

Proposed global prognostic score for systemic mastocytosis: a retrospective prognostic modelling study

[Background]: Several risk stratification models have been proposed in recent years for systemic mastocytosis but have not been directly compared. Here we designed and validated a risk stratification model for progression-free survival (PFS) and overall survival (OS) in systemic mastocytosis on the basis of all currently available prognostic factors, and compared its predictive capacity for patient outcome with that of other risk scores.[Methods]: We did a retrospective prognostic modelling study based on patients diagnosed with systemic mastocytosis between March 1, 1983, and Oct 11, 2019. In a discovery cohort of 422 patients from centres of the Spanish Network on Mastocytosis (REMA), we evaluated previously identified, independent prognostic features for prognostic effect on PFS and OS by multivariable analysis, and designed a global prognostic score for mastocytosis (GPSM) aimed at predicting PFS (GPSM-PFS) and OS (GPSM-OS) by including only those variables that showed independent prognostic value (p<0·05). The GPSM scores were validated in an independent cohort of 853 patients from centres in Europe and the USA, and compared with pre-existing risk models in the total patient series (n=1275), with use of Harrells' concordance index (C-index) as a readout of the ability of each model to risk-stratify patients according to survival outcomes.[Findings]: Our GPSM-PFS and GPSM-OS models were based on unique combinations of independent prognostic factors for PFS (platelet count ≤100 × 109 cells per L, serum β2-microglobulin ≥2·5 μg/mL, and serum baseline tryptase ≥125 μg/L) and OS (haemoglobin ≤110 g/L, serum alkaline phosphatase ≥140 IU/L, and at least one mutation in SRSF2, ASXL1, RUNX1, or DNMT3A). The models showed clear discrimination between low-risk and high-risk patients in terms of worse PFS and OS prognoses in the discovery and validation cohorts, and further discrimination of intermediate-risk patients. The GPSM-PFS score was an accurate predictor of PFS in systemic mastocytosis (C-index 0·90 [95% CI 0·87–0·93], vs values ranging from 0·85 to 0·88 for pre-existing models), particularly in non-advanced systemic mastocytosis (C-index 0·85 [0·76–0·92], within the range for pre-existing models of 0·80 to 0·93). Additionally, the GPSM-OS score was able to accurately predict OS in the entire cohort (C-index 0·92 [0·89–0·94], vs 0·67 to 0·90 for pre-existing models), and showed some capacity to predict OS in advanced systemic mastocytosis (C-index 0·72 [0·66–0·78], vs 0·64 to 0·73 for pre-existing models).[Interpretation]: All evaluated risk classifications predicted survival outcomes in systemic mastocytosis. The REMA-PFS and GPSM-PFS models for PFS, and the International Prognostic Scoring System for advanced systemic mastocytosis and GPSM-OS model for OS emerged as the most accurate models, indicating that robust prognostication might be prospectively achieved on the basis of biomarkers that are accessible in diagnostic laboratories worldwide.Carlos III Health Institute, European Regional Development Fund, Spanish Association of Mastocytosis and Related Diseases, Rare Diseases Strategy of the Spanish National Health System, Junta of Castile and León, Charles and Ann Johnson Foundation, Stanford Cancer Institute Innovation Fund, Austrian Science Fund

4to. Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad. Memoria académica

Este volumen acoge la memoria académica de la Cuarta edición del Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad, CITIS 2017, desarrollado entre el 29 de noviembre y el 1 de diciembre de 2017 y organizado por la Universidad Politécnica Salesiana (UPS) en su sede de Guayaquil. El Congreso ofreció un espacio para la presentación, difusión e intercambio de importantes investigaciones nacionales e internacionales ante la comunidad universitaria que se dio cita en el encuentro. El uso de herramientas tecnológicas para la gestión de los trabajos de investigación como la plataforma Open Conference Systems y la web de presentación del Congreso http://citis.blog.ups.edu.ec/, hicieron de CITIS 2017 un verdadero referente entre los congresos que se desarrollaron en el país. La preocupación de nuestra Universidad, de presentar espacios que ayuden a generar nuevos y mejores cambios en la dimensión humana y social de nuestro entorno, hace que se persiga en cada edición del evento la presentación de trabajos con calidad creciente en cuanto a su producción científica. Quienes estuvimos al frente de la organización, dejamos plasmado en estas memorias académicas el intenso y prolífico trabajo de los días de realización del Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad al alcance de todos y todas

Genetic polymorphisms associated with telomere length and risk of developing myeloproliferative neoplasms

D.C., F.C., and M.G. conceived and designed the study. A.M. and M.G. performed labwork. A.M., F.C., D.C., and M.G. drafted the manuscript. A.M., F.C., D.C., and M.G. performed data quality control and statistical analyses. All other authors provided samples and data. All authors critically read, commented, and approved the manuscript.Telomere length measured in leukocyte (LTL) has been found to be associated with the risk of developing several cancer types, including myeloproliferative neoplasms (MPNs). LTL is genetically determined by, at least, 11 SNPs previously shown to influence LTL. Their combination in a score has been used as a genetic instrument to measure LTL and evaluate the causative association between LTL and the risk of several cancer types. We tested, for the first time, the “teloscore” in 480 MPN patients and 909 healthy controls in a European multi-center case–control study. We found an increased risk to develop MPNs with longer genetically determined telomeres (OR = 1.82, 95% CI 1.24–2.68, P = 2.21 × 10−3, comparing the highest with the lowest quintile of the teloscore distribution). Analyzing the SNPs individually we confirm the association between TERT-rs2736100-C allele and increased risk of developing MPNs and we report a novel association of the OBFC1-rs9420907-C variant with higher MPN risk (ORallelic= 1.43; 95% CI 1.15–1.77; P = 1.35 × 10−3). Consistently with the results obtained with the teloscore, both risk alleles are also associated with longer LTL. In conclusion, our results suggest that genetically determined longer telomeres could be a risk marker for MPN developmen

Ecografía tridimensional en la evaluación de los tumores de ovario

El diagnóstico diferencial de los tumores de ovario sigue siendo un reto importante para el ginecólogo. Un diagnóstico preciso es de suma importancia para una correcta planificación de la conducta a seguir. Dicho diagnóstico diferencial se basa en los datos clínicos de la paciente, la sintomatología que presenta, la exploración física y, fundamentalmente, en la ecografía bidimensional. Recientemente se ha incorporado una nueva tecnología: la ecografía tridimensional. Esta técnica permite una mejor evaluación morfológica y un análisis más detallado de la vascularización tumoral. En el presente artículo se revisan las indicaciones que puede tener la ecografía tridimensional en la evaluación de los tumores de ovario

Estudio de conductores iónicos sólidos basados en polímeros electroactivos

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