Publications by authors named "S Saussele"

Precise and reliable predictive parameters to accurately identify chronic myeloid leukemia (CML) patients who can successfully discontinue their tyrosine kinase inhibitor (TKI) treatment are lacking. One promising parameter is depth of molecular response measured by BCR::ABL1 digital PCR (dPCR). The aim of this study was to validate a previously described prediction cutoff of 0.

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Limited data is available on the health-related quality of life (HRQoL) and symptoms of patients with chronic myeloid leukemia (CML) who are in treatment-free remission (TFR). We herein report HRQoL results from the EURO-SKI trial. Patients who had been on tyrosine kinase inhibitors (TKIs) therapy for at least 3 years and achieved MR4 for at least 1 year were enrolled from 11 European countries, and the EORTC QLQ-C30 and the FACIT-Fatigue questionnaires were used to assess HRQoL and fatigue respectively.

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Blast phase (BP) of chronic myeloid leukemia (CML) still represents an unmet clinical need with a dismal prognosis. Due to the rarity of the condition and the heterogeneity of the biology and clinical presentation, prospective trials and concise treatment recommendations are lacking. Here we present the analysis of the European LeukemiaNet Blast Phase Registry, an international collection of the clinical presentation, treatment and outcome of blast phases which had been diagnosed in CML patients after 2015.

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Article Synopsis
  • - The EURO-SKI study, the largest clinical trial on stopping tyrosine kinase inhibitors (TKIs) for chronic myeloid leukemia, involved 728 patients and found that 61% maintained major molecular response (MMR) at 6 months and 46% at 36 months.
  • - Key factors influencing MMR maintenance included the length of TKI treatment and the patient's deep molecular remission duration before stopping treatment, along with the type of leukemia transcript.
  • - For patients experiencing late MMR losses, factors like TKI treatment duration, the presence of blasts in blood, and platelet counts at diagnosis were significant predictors of outcomes during the 36-month follow-up.
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