Publications by authors named "C Baldazzi"

Article Synopsis
  • Rearranged neoplasms are rare blood cancers, with about 80 cases, involving myeloid and lymphoid leukemias, linked to gene translocations that activate partner genes.
  • A case of a 54-year-old woman revealed a rare cryptic insertion of the gene associated with such neoplasms, initially diagnosed as idiopathic hypereosinophilic syndrome.
  • Advanced sequencing techniques led to the identification of specific fusion transcripts, confirming the diagnosis and prompting effective treatment with imatinib mesylate, resulting in lasting positive outcomes after over a year.
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Article Synopsis
  • Scientists studied older patients with a type of leukemia called acute myeloid leukemia (AML) to find out what factors affect their survival chances.
  • They found that early response to treatment and specific health risks can help predict which patients will do better.
  • They also discovered that having other health problems, like lung disease or low albumin levels, can make patients weaker and more likely to face complications, influencing how long they might live.
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Venetoclax (VEN) and hypomethylating agent (HMAs) regimens are emerging as the standard of care for unfit for chemotherapy acute myeloid leukemia (AML) patients, but the safety and feasibility of a total outpatient management have not been fully investigated. Fifty-nine AML patients with active disease received VEN and HMAs. Nineteen out of 59 (32.

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Article Synopsis
  • The t(5;12)(q31;p13)/ETV6::ACSL6 is a rare genetic change found in some blood cancers, with only 16 known cases so far.
  • People with this change often have high levels of a type of white blood cell called eosinophils, which can cause health problems.
  • We found two new patients with this genetic change during their cancer relapse, and we think it might work together with another genetic change (t(6;9)) to make the disease worse.
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Although targeting of cell metabolism is a promising therapeutic strategy in acute myeloid leukemia (AML), metabolic dependencies are largely unexplored. We aimed to classify AML patients based on their metabolic landscape and map connections between metabolic and genomic profiles. Combined serum and urine metabolomics improved AML characterization compared with individual biofluid analysis.

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