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Background: Patients with Down syndrome (DS) and standard risk (SR) acute lymphoblastic leukemia (ALL-DS) are reported to have inferior event free (EFS) and overall survival (OS) compared to patients without DS (ALL-NDS).
Procedure: We compared the prevalence of favorable and unfavorable clinical and biologic features, toxicity and outcome within the ALL-DS and ALL-NDS cohorts of 2,174 eligible patients with SR-ALL enrolled on CCG-1952.
Results: Fifty-nine patients (3%) had ALL-DS. DS patients were less likely to have either favorable (hyperdiploidy, triple trisomy of chromosomes 4, 10, and 17, TEL-AML1 rearrangement) or unfavorable (T-cell ALL, hypodiploidy, adverse translocations) biologic features. Toxicity occurred significantly more often and number of days hospitalized was significantly greater in ALL-DS than in ALL-NDS. ALL-DS patients had an inferior 4-year EFS compared to the NDS cohort. However, EFS was equivalent when the comparison excluded ALL-NDS with favorable biologic features. OS was significantly inferior for ALL-DS.
Conclusions: The absence of favorable biologic features within ALL-DS contributes to the difference in EFS previously observed between DS and NDS SR-ALL cohorts.
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http://dx.doi.org/10.1002/pbc.20193 | DOI Listing |
J Pineal Res
January 2025
Department of Integrated Biology and Physiology, University of Minnesota, Minneapolis, Minnesota, USA.
Light environment in the Arctic differs widely with the seasons. Studies of relationships between objectively measured circadian phase and amplitude of light exposure and melatonin in community-dwelling Arctic residents are lacking. This investigation combines cross-sectional (n = 24-62) and longitudinal (n = 13-27) data from week-long actigraphy (with light sensor), 24-h salivary melatonin profiles, and proxies of metabolic health.
View Article and Find Full Text PDFFront Neurosci
December 2024
Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
The parabrachial nucleus (PBN), located in the dorsolateral pons, is involved in many important biological functions, such as sensory signaling, feeding, defensive behaviors, fear, anxiety, and sleep-wake cycles. General anesthesia shares the classical feature of reversible loss of consciousness with natural sleep, and accumulating evidence has indicated that general anesthesia and sleep-wake behaviors share some common underlying neural mechanism. In recent years, emerging studies have investigated the involvement of PBN in emergence from general anesthesia, but divergence exists in terms of different types of general anesthetics or different durations of treatment with the same group of general anesthetics.
View Article and Find Full Text PDFFront Neurosci
December 2024
Graduate Program in Cognitive Science, Yonsei University, Seoul, Republic of Korea.
Introduction: Functional magnetic resonance imaging (fMRI) data is highly complex and high-dimensional, capturing signals from regions of interest (ROIs) with intricate correlations. Analyzing such data is particularly challenging, especially in resting-state fMRI, where patterns are less identifiable without task-specific contexts. Nonetheless, interconnections among ROIs provide essential insights into brain activity and exhibit unique characteristics across groups.
View Article and Find Full Text PDFPhenomics
October 2024
Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610000 China.
Unlabelled: Despite the established associations between sleep-related traits and major diseases, comprehensive assessment on affected disease modules and their genetic determinants is lacking. Using multiple correspondence analysis and the k-means clustering algorithm, 235,826 eligible participants were clustered into distinct unfavorable sleep patterns [short sleep duration ( = 10,073), snoring (22,419), insomnia (102,771), insomnia and snoring (62,909)] and favorable sleep pattern groups (37,654). The associations of unfavorable sleep patterns with 134 diseases were estimated using Cox regression models; and comorbidity network analyses were applied for disease module identification.
View Article and Find Full Text PDFACS Food Sci Technol
December 2024
National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K.
Salmon fillet was analyzed via hand-held optical devices: fluorescence (@340 nm) and absorption spectroscopy across the visible and near-infrared (NIR) range (400-1900 nm). Spectroscopic measurements were benchmarked with nucleotide assays and potentiometry in an exploratory set of experiments over 11 days, with changes to spectral profiles noted. A second enlarged spectroscopic data set, over a 17 day period, was then acquired, and fillet freshness was classified ±1 day via four machine learning (ML) algorithms: linear discriminant analysis, Gaussian naïve, weighted -nearest neighbors, and an ensemble bagged tree method.
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