Publications by authors named "R J de Ries"

Acute Myeloid Leukemia (AML) is an aggressive cancer with dismal outcomes, vast subtype heterogeneity, and suboptimal risk stratification. In this study, we harmonized DNA methylation data from 3,314 patients across 11 cohorts to develop the Acute Leukemia Methylome Atlas (ALMA) of diagnostic relevance that predicted 27 WHO 2022 acute leukemia subtypes with an overall accuracy of 96.3% in discovery and 90.

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Article Synopsis
  • Several genomic subsets of mutations in acute myeloid leukemia (AML) patients were studied to understand their impact on outcomes and the underlying biology, revealing that type D mutations correlated with poorer survival rates compared to other types.
  • In a cohort of over 4,000 patients, a study found that those with type A, B, and rare variants had more favorable overall survival rates, while type D patients exhibited significantly worse outcomes.
  • The research highlighted that codon optimality in type D mutations affects gene expression and translation efficiency, leading to poorer prognostic implications and indicating the need for a potential reclassification of type D patients to higher-risk groups.
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Macrophage polarization critically contributes to a multitude of human pathologies. Hence, modulating macrophage polarization is a promising approach with enormous therapeutic potential. Macrophages are characterized by a remarkable functional and phenotypic plasticity, with pro-inflammatory (M1) and anti-inflammatory (M2) states at the extremes of a multidimensional polarization spectrum.

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Objective: The study objective was to determine factors associated with obtaining COVID-19 vaccination in people with co-occurring alcohol use disorder (AUD) and serious mental illness (SMI).

Methods: Survey responses were obtained from 135 adults with SMI seeking community-based AUD treatment about their primary series vaccination status, COVID-19 preventative practices, vaccination motivators, reasons for vaccine hesitancy, and strategies to increase vaccination uptake. Vaccinated and unvaccinated groups were compared.

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Article Synopsis
  • - Pediatric acute myeloid leukemia (AML) is a serious blood cancer with a high chance of returning after treatment, making it tough to target for immunotherapy due to varying cell types in patients.
  • - Researchers developed a new computational tool that uses single-cell flow cytometry data from 21 pediatric AML patients to accurately identify cancerous cells and their developmental stages, achieving a classification accuracy of 90%.
  • - The study found significant changes in the immunophenotypes of cancer cells between diagnosis and relapse, especially in patients with specific genetic alterations, providing insights that could help in designing more effective personalized treatments for AML.
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