320 research outputs found

    Bayesian Multivariate Spatial Models for Lattice Data with INLA

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    The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with package INLA for Bayesian inference. The multivariate spatial models include different structures to model the spatial variation of the variables and the between-variables variability. In this way, fitting multivariate spatial models becomes faster and easier. The use of the different models included in the package is illustrated using two different datasets: the well-known North Carolina SIDS data and mortality by three causes of death in Comunidad Valenciana (Spain)

    Social Media and the Adolescent and Young Adult (AYA) Patient with Cancer

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    Over 70,000 adolescent and young adults aged 15 to 39 years (AYA) are diagnosed with cancer each year in the US. The National Cancer Institute (NCI) has identified AYA cancer patients as a unique population. The most common cancers in this age group include tumors typically seen in pediatric patients such as acute lymphoblastic leukemia (ALL) and brain tumors, as well as cancers more typically seen in adult patients such as breast cancer and melanoma. In addition, some cancers have their highest incidence in AYA patients, such as Hodgkin Lymphoma, testicular cancer and bone tumors. AYA patients face additional unique issues due to their age, not just questions about treatment choices due to lack of data, but also questions about fertility, relationships, loss of autonomy, and interruptions in school/work with potentially significant financial complications. This age group also has very high rates of social media usage with up to 90% of adults aged 18 to 29 using social networking sites. In this review, we will describe the use of social media in AYAs with cancer and highlight some of the online resources for AYAs

    Methotrexate Gold Nanocarriers: Loading and Release Study: Its Activity in Colon and Lung Cancer Cells

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    In the present study, the synthesis of gold nanoparticles (AuNPs) loaded with methotrexate (MTX) has been carried out in order to obtain controlled size and monodispersed nanocarriers of around 20 nm. The characterization study shows metallic AuNPs with MTX polydispersed on the surface. MTX is linked by the replacement of citrate by the MTX carboxyl group. The drug release profiles show faster MTX release when it is conjugated, which leads to the best control of plasma concentration. Moreover, the enhanced release observed at pH 5 could take advantage of the pH gradients that exist in tumor microenvironments to achieve high local drug concentrations. AuNP–MTX conjugates were tested by flow cytometry against lung (A-549) and colon (HTC-116) cancer cell lines. Results for A-549 showed a weaker dose–response e ect than for colon cancer ones. This could be related to the presence of folate receptors in line HTC-116 in comparison to line A-549, supporting the specific uptake of folate-conjugated AuNP–MTX by folate receptor positive tumor cells. Conjugates exhibited considerably higher cytotoxic e ects compared with the e ects of equal doses of free MTX. Annexin V-PI tests sustained the cell death mechanism of apoptosis, which is normally disabled in cancer cells.Spanish GovernmentJunta de Andalucía P18-RT-419

    Pot la psicologia rescatar-se a si mateixa?. Incentius, biaix i replicabilitat

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    En els últims anys la Psicologia està patint internament i externa una crisi important de credibilitat, a la qual tampoc han estat alienes altres ciències, com ara la Medicina o la Biologia. Diversos projectes de ciència de col·laboració suggereixen que una gran part dels resultats de la investigació són difícils de reproduir. Això ve acompanyat d’un conjunt de simulacions i anàlisis quantitatives que situen la quantitat de falsos positius per damunt del 50% del total de dades publicades en la literatura psicològica actual. En aquest breu treball realitzarem una anàlisi actualitzada de la situació i intentarem identificar les causes psicològiques que hi han contribuït. Entre aquestes destaquen, primer, un sistema d’incentius alineat més amb els interessos de promoció de l’investigador que no amb el descobriment i l’extensió d’una ciència transparent, fiable i reproduïble, i, segon, els biaixos individuals en l’elaboració de judicis i en la presa de decisions que afecten de forma generalitzada els éssers humans –investigadors o no–. Acabarem sotmetent a discussió com aquests biaixos, en concordança amb la investigació clàssica sobre biaixos i heurístics, s’acumulen a través dels individus i acaben afectant de forma substancial el projecte col·lectiu de la ciència psicològica. Enumerem també les estratègies que podrien contribuir, si es posaren en pràctica amb èxit, a corregir –en part– la situació i fins i tot estendre’s a altres àrees científiques

    Stochastic Assessment Of Environmental Flows In Semiarid Environments

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    The regimen of environmental flows (EF) must be included as terms of environmental demand in the management of water resources. Even though there are numerous methods for the computation of EF, the criteria applied at different steps in the calculation process are quite subjective whereas the results are fixed values that must be meet by water planners. This study presents a friendly-user tool for the assessment of the probability of compliance of a certain EF scenario with the natural regimen in a semiarid area in southern Spain. 250 replications of a 25-yr period of different hydrological variables (rainfall, minimum and maximum flows, ...) were obtained at the study site from the combination of Monte Carlo technique and local hydrological relationships. Several assumptions are made such as the independence of annual rainfall from year to year and the variability of occurrence of the meteorological agents, mainly precipitation as the main source of uncertainty. Inputs to the tool are easily selected from a first menu and comprise measured rainfall data, EF values and the hydrological relationships for at least a 20-yr period. The outputs are the probabilities of compliance of the different components of the EF for the study period. From this, local optimization can be applied to establish EF components with a certain level of compliance in the study period. Different options for graphic output and analysis of results are included in terms of graphs and tables in several formats. This methodology turned out to be a useful tool for the implementation of an uncertainty analysis within the scope of environmental flows in water management and allowed the simulation of the impacts of several water resource development scenarios in the study site

    Agonist Anti-GITR Monoclonal Antibody Induces Melanoma Tumor Immunity in Mice by Altering Regulatory T Cell Stability and Intra-Tumor Accumulation

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    In vivo GITR ligation has previously been shown to augment T-cell-mediated anti-tumor immunity, yet the underlying mechanisms of this activity, particularly its in vivo effects on CD4+ foxp3+ regulatory T cells (Tregs), have not been fully elucidated. In order to translate this immunotherapeutic approach to the clinic it is important gain better understanding of its mechanism(s) of action. Utilizing the agonist anti-GITR monoclonal antibody DTA-1, we found that in vivo GITR ligation modulates regulatory T cells (Tregs) directly during induction of melanoma tumor immunity. As a monotherapy, DTA-1 induced regression of small established B16 melanoma tumors. Although DTA-1 did not alter systemic Treg frequencies nor abrogate the intrinsic suppressive activity of Tregs within the tumor-draining lymph node, intra-tumor Treg accumulation was significantly impaired. This resulted in a greater Teff:Treg ratio and enhanced tumor-specific CD8+ T-cell activity. The decreased intra-tumor Treg accumulation was due both to impaired infiltration, coupled with DTA-1-induced loss of foxp3 expression in intra-tumor Tregs. Histological analysis of B16 tumors grown in Foxp3-GFP mice showed that the majority of GFP+ cells had lost Foxp3 expression. These “unstable” Tregs were absent in IgG-treated tumors and in DTA-1 treated TDLN, demonstrating a tumor-specific effect. Impairment of Treg infiltration was lost if Tregs were GITR−/−, and the protective effects of DTA-1 were reduced in reconstituted RAG1−/− mice if either the Treg or Teff subset were GITR-negative and absent if both were negative. Our results demonstrate that DTA-1 modulates both Teffs and Tregs during effective tumor treatment. The data suggest that DTA-1 prevents intra-tumor Treg accumulation by altering their stability, and as a result of the loss of foxp3 expression, may modify their intra-tumor suppressive capacity. These findings provide further support for the continued development of agonist anti-GITR mAbs as an immunotherapeutic strategy for cancer
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