Publications by authors named "G T Castellani"

The aim of this work was to describe the DNA methylation signature and to identify genes associated with neuropathic pain in type 2 diabetes mellitus. We analyzed two independent diabetic neuropathy cohorts: PROPGER consisting of 72 painful and 67 painless patients recruited at the German Diabetes Center in Düsseldorf (DE), and PROPENG comprising 27 painful and 65 painless diabetic neuropathy patients recruited at the University of Manchester (UK). Genome-wide methylation data was generated using Illumina Infinium Methylation EPIC v1.

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Hematological malignancies are a diverse group of cancers developing in the peripheral blood, the bone marrow or the lymphatic system. Due to their heterogeneity, the identification of novel and advanced molecular signatures is essential for enhancing their characterization and facilitate its translation to new pharmaceutical solutions and eventually to clinical applications. In this study, we collected publicly available microarray data for more than five thousand subjects, across thirteen hematological malignancies.

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Cellular motility is essential for making and maintaining multicellular organisms throughout their lifespan. Migrating cells can move either individually or collectively by a crawling movement that links the cytoskeletal activity to the adhesion surface. In vitro stimulation by electric fields can be achieved by direct, capacitive or inductive coupled setups.

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Article Synopsis
  • Since 2017, combining targeted therapies with traditional chemotherapy has led to better outcomes for acute myeloid leukemia (AML) patients.
  • A study of 5,359 AML patients over 20 years used data from the HARMONY Alliance to analyze treatment outcomes during four 5-year periods from 1997 to 2016.
  • Results show significant improvements in 5-year survival rates and reduced 60-day mortality (from 13.0% to 4.7%), even across different genetic risk groups, indicating that the advancements in treatment have positively affected patient outcomes.
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Hyperplexed in-situ targeted proteomics via antibody immunodetection (i.e., >15 markers) is changing how we classify cells and tissues.

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