5 research outputs found

    WT1 gene is overexpressed in myeloproliferative neoplasms, especially in myelofibrosis

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    International audienceClassical Philadelphia-negative myeloproliferative neoplasms include Polycythemia Vera (PV), Essential Thrombocythemia (ET) and Primary Myelofibrosis (PMF). They are characterized by the presence of driver mutations of JAK2, CALR or MPL genes. Overexpression of WT1 is used as a marker of minimal residual disease in acute myeloid leukemia, especially after allogeneic stem cell transplantation (SCT). We investigated WT1 expression at diagnosis in 152 MPN patients and showed that the WT1 transcript was overexpressed in PMFs and PVs compared to controls. In particular, WT1 transcript levels were higher in PMF than in ET and PV. WT1 transcript levels were significantly increased during myelofibrotic transformation of ET or PV. Using multi-variate linear regression, high WT1 transcript levels in PMF were associated with age over 65, splenomegaly and thrombocytopenia. The ROC curve analysis showed that a level of WT1 transcript > 10 WT1 copies/10 4 ABL1 enabled the diagnosis of PMF with a specificity of 95.8% (PMF vs ET; ROC AUC = 0.91). In myelofibrosis, studying follow-ups of WT1 transcript showed that this marker is of interest after allogeneic SCT. These results demonstrate that WT1 overexpression is a simple marker of myelofibrosis in MPN and could be used during patient follow-up

    Sequential mutational evaluation of CALR ‐mutated myeloproliferative neoplasms with thrombocytosis reveals an association between CALR allele burden evolution and disease progression

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    International audienceIn myeloproliferative neoplasms (MPN), JAK2V617F allele burden measurement has an impact on prognosis that helps in patient monitoring. Less is known about its usefulness in CALR-mutated cases. Additional mutations found by next-generation sequencing have also shown an impact on prognosis that may drive therapeutic choices, especially in myelofibrosis, but few studies focused on CALR-mutated patients. We performed a molecular evaluation combining next-generation sequencing with a myeloid panel and CALR allele burden measurement at diagnosis and during follow-up in a cohort of 45 patients with CALR-mutated essential thrombocythaemia. The bone marrow histology was also blindly reviewed in order to apply the WHO2016 classification. The most frequently mutated gene was TET2 (11/21 mutations). CALR type 1-like patients appear to have a more complex molecular landscape. We found an association between disease progression and CALR allele burden increase during follow-up, independently of additional mutations and WHO2016-reviewed diagnosis. Patients with disease progression at the time of follow-up showed a significant increase in CALR allele burden (+16·7%, P = 0·005) whereas patients without disease progression had a stable allele burden (+3·7%, P = 0·194). This result argues for clinical interest in CALR allele burden monitoring

    Sequential mutational evaluation of CALR -mutated myeloproliferative neoplasms with thrombocytosis reveals an association between CALR allele burden evolution and disease progression

    No full text
    In myeloproliferative neoplasms (MPN), JAK2V617F allele burden measurement has an impact on prognosis that helps in patient monitoring. Less is known about its usefulness in CALR-mutated cases. Additional mutations found by next-generation sequencing have also shown an impact on prognosis that may drive therapeutic choices, especially in myelofibrosis, but few studies focused on CALR-mutated patients. We performed a molecular evaluation combining next-generation sequencing with a myeloid panel and CALR allele burden measurement at diagnosis and during follow-up in a cohort of 45 patients with CALR-mutated essential thrombocythaemia. The bone marrow histology was also blindly reviewed in order to apply the WHO2016 classification. The most frequently mutated gene was TET2 (11/21 mutations). CALR type 1-like patients appear to have a more complex molecular landscape. We found an association between disease progression and CALR allele burden increase during follow-up, independently of additional mutations and WHO2016-reviewed diagnosis. Patients with disease progression at the time of follow-up showed a significant increase in CALR allele burden (+16·7%, P = 0·005) whereas patients without disease progression had a stable allele burden (+3·7%, P = 0·194). This result argues for clinical interest in CALR allele burden monitoring

    Prognostic value of high-sensitivity measurable residual disease assessment after front-line chemoimmunotherapy in chronic lymphocytic leukemia

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    International audienceMeasurable residual disease (MRD) status is widely adopted in clinical trials in patients with chronic lymphocytic leukemia (CLL). Findings from FILO group trials (CLL2007FMP, CLL2007SA, CLL2010FMP) enabled investigation of the prognostic value of high-sensitivity (0.7 × 10-5) MRD assessment using flow cytometry, in blood (N = 401) and bone marrow (N = 339), after fludarabine, cyclophosphamide, and rituximab (FCR)-based chemoimmunotherapy in a homogeneous population with long follow-up (median 49.5 months). Addition of low-level positive MRD < 0.01% to MRD ≄ 0.01% increased the proportion of cases with positive MRD in blood by 39% and in bone marrow by 27%. Compared to low-level positive MRD < 0.01%, undetectable MRD was associated with significantly longer progression-free survival (PFS) when using blood (72.2 versus 42.7 months; hazard ratio 0.40, p = 0.0003), but not when using bone marrow. Upon further stratification, positive blood MRD at any level, compared to undetectable blood MRD, was associated with shorter PFS irrespective of clinical complete or partial remission, and a lower 5-year PFS rate irrespective of IGHV-mutated or -unmutated status (all p < 0.05). In conclusion, high-sensitivity (0.0007%) MRD assessment in blood yielded additional prognostic information beyond the current standard sensitivity (0.01%). Our approach provides a model for future determination of the optimal MRD investigative strategy for any regimen
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