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Multiple myeloma, the second most common hematologic malignancy worldwide, is an aggressive disease with high morbidity and mortality rates. Although myeloma remains incurable, new treatments have improved patients' life expectancy and quality of life. However, as these therapies are administered for prolonged and often indefinite periods, their success depends on high treatment adherence and significant patient engagement. This study aimed to evaluate the impact of a novel digital educational strategy on treatment adherence, quality of life, and the development of complications in patients with newly diagnosed myeloma. To this end, a two-arm, randomized, prospective, double-blind study was conducted to compare the conventional educational approach alone or combined with the novel digital strategy. This strategy was based on some principles of the Persuasive Systems Design model and incorporated the educational recommendations of patients and caregivers. Compared to the control group that only received information through the conventional educational approach, patients randomized to the digital strategy showed significantly higher treatment adherence and quality of life, associated with increased functionality and rapid reincorporation into daily routines. The digital strategy empowered patients and caregivers to understand the disease and therapeutic options and helped patients recall treatment information and implement healthy lifestyle habits. These results support that patient-targeted educational strategies can positively influence treatment adherence and thus improve their quality of life.

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Tropical forests face increasing climate risk1,2, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, [Formula: see text]50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3-5, little is known about how these vary across Earth's largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters [Formula: see text]50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both [Formula: see text]50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth-mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon6,7, with strong implications for the Amazon carbon sink.

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Non-structural carbohydrates (NSC) are major substrates for plant metabolism and have been implicated in mediating drought-induced tree mortality. Despite their significance, NSC dynamics in tropical forests remain little studied. We present leaf and branch NSC data for 82 Amazon canopy tree species in six sites spanning a broad precipitation gradient. During the wet season, total NSC (NSCT) concentrations in both organs were remarkably similar across communities. However, NSCT and its soluble sugar (SS) and starch components varied much more across sites during the dry season. Notably, the proportion of leaf NSCT in the form of SS (SS:NSCT) increased greatly in the dry season in almost all species in the driest sites, implying an important role of SS in mediating water stress in these sites. This adjustment of leaf NSC balance was not observed in tree species less-adapted to water deficit, even under exceptionally dry conditions. Thus, leaf carbon metabolism may help to explain floristic sorting across water availability gradients in Amazonia and enable better prediction of forest responses to future climate change.

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A variety of genetic alterations are considered hallmarks of cancer development and progression. The Ikaros gene family, encoding for key transcription factors in hematopoietic development, provides several examples as genetic defects in these genes are associated with the development of different types of leukemia. However, the complex patterns of expression of isoforms in Ikaros family genes has prevented their use as clinical markers. In this study, we propose the use of the expression profiles of the Ikaros isoforms to classify various hematological tumor diseases. We have standardized a quantitative PCR protocol to estimate the expression levels of the Ikaros gene exons. Our analysis reveals that these levels are associated with specific types of leukemia and we have found differences in the levels of expression relative to five interexonic Ikaros regions for all diseases studied. In conclusion, our method has allowed us to precisely discriminate between B-ALL, CLL and MM cases. Differences between the groups of lymphoid and myeloid pathologies were also identified in the same way.

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Introducción. Del 60 al 80 % de los pacientes con leucemia linfoblástica aguda de precursores B presentan alteraciones genéticas que influyen en el pronóstico de la enfermedad y en la biología del tumor. Objetivo. Analizar distintas alteraciones genéticas en leucemia linfoblástica aguda de precursores B en niños, y su relación con el inmunofenotipo y con la tasa de proliferación, en comparación con precursores B normales. Materiales y métodos. En 44 pacientes se evaluó, por citometría de flujo, el inmunofenotipo, el contenido de ADN y la proliferación, y por RT-PCR, las traslocaciones t(9;22), t(12;21), t(4;11) y t(1;19). Mediante un análisis jerarquizado de conglomerados se identificaron los patrones inmunofenotípicos de expresión asociados a las traslocaciones, tomando como referencia precursores B normales. Resultados. La cuantificación del ADN mostró que el 21 % de los casos de leucemia linfoblástica aguda de precursores B eran hiperdiploides de índice alto y, el 47,7 %, hiperdiploides de índice bajo. La presencia de hiperdiploidía se asoció con mayor proliferación tumoral y con inmunofenotipos aberrantes, que incluyeron expresión anormal de CD10, TdT, CD38 y CD45 y un mayor tamaño de los linfoblastos. La presencia de t(9;22) y t(12;21) discrimina células normales de células tumorales con aberraciones en la expresión de CD19, CD20, CD13, CD33, CD38, CD34 y CD45. Conclusiones. El perfil de aberraciones fenotípicas detectado en conjunto con anormalidades en la proliferación tumoral, se asocia de forma significativa con hiperdiploidiía de ADN y discrimina de forma clara linfoblastos con t(9;22) y t(12;21) de los precursores B normales. La identificación de estos parámetros será de gran utilidad como herramienta para la clasificación y seguimiento de los pacientes.

Introduction: Between 60 and 80% of patients with B-cell acute lymphoblastic leukemia show genetic abnormalities which influence the prognosis of the disease and the biology of the tumor. Objective: To analyze different genetic abnormalities in acute B lymphoblastic leukemia in children, its relationship with the immunophenotype and the proliferative rate compared with normal B cell precursors. Materials and methods: We assessed immunophenotype, DNA content and proliferative rate in 44 samples by flow cytometry, and translocations t(9;22), t(12;21), t(4;11), and t(1;19) by RT-PCR. Using a hierarchical cluster analysis, we identified some immunophenotypic patterns associated to genetic abnormalities when compared with normal B cell precursors. Results: DNA quantification showed that 21% of the cases had high hyperdiploidy and 47.7% has low hyperdiploidy. The presence of hyperdiploidy was associated with increased tumor proliferation and aberrant immunophenotypes, including abnormal expression of CD10, TdT, CD38, and CD45 and an increased size of the lymphoblasts. The presence of t(9;22) and t(12;21) discriminates normal cells from tumor cells with aberrant immunophenotype in the expression of CD19, CD22, CD13, CD33, CD38, CD34, and CD45. Conclusions: The aberrant immunophenotype profile detected in neoplastic cells along with abnormalities in the proliferative rate were significantly associated with DNA hyperdiploidy and clearly distinguished lymphoblasts with t(9;22) and t(12;21) from normal B cell precursors. The identification of these parameters is useful as a tool for classification and monitoring of these patients.

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INTRODUCTION: Between 60 and 80% of patients with B-cell acute lymphoblastic leukemia show genetic abnormalities which influence the prognosis of the disease and the biology of the tumor. OBJECTIVE: To analyze different genetic abnormalities in acute B lymphoblastic leukemia in children, its relationship with the immunophenotype and the proliferative rate compared with normal B cell precursors. MATERIALS AND METHODS: We assessed immunophenotype, DNA content and proliferative rate in 44 samples by flow cytometry, and translocations t(9;22), t(12;21), t(4;11), and t(1;19) by RT-PCR. Using a hierarchical cluster analysis, we identified some immunophenotypic patterns associated to genetic abnormalities when compared with normal B cell precursors. RESULTS: DNA quantification showed that 21% of the cases had high hyperdiploidy and 47.7% has low hyperdiploidy. The presence of hyperdiploidy was associated with increased tumor proliferation and aberrant immunophenotypes, including abnormal expression of CD10, TdT, CD38, and CD45 and an increased size of the lymphoblasts. The presence of t(9;22) and t(12;21) discriminates normal cells from tumor cells with aberrant immunophenotype in the expression of CD19, CD22, CD13, CD33, CD38, CD34, and CD45. CONCLUSIONS: The aberrant immunophenotype profile detected in neoplastic cells along with abnormalities in the proliferative rate were significantly associated with DNA hyperdiploidy and clearly distinguished lymphoblasts with t(9;22) and t(12;21) from normal B cell precursors. The identification of these parameters is useful as a tool for classification and monitoring of these patients.

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