5 research outputs found

    Flow cytometric minimal residual disease monitoring in children with acute lymphoblastic leukemia treated by regimens with reduced intensity

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    191 consecutive unselected children with acute lymphoblastic leukemia aged from 1 to 16 years were enrolled in the study. Bone marrow samples were obtained at the time of initial diagnostics as well as at days 15 (n = 188), 36 (n = 191), and 85 (n = 187) of remission induction. Minimal residual disease (MRD) was assessed by 6–10-color flow cytometry. Flow cytometry data at day 15 allowed distinguishing three patients groups with significantly different outcome (p Λ‚ 0.0001): 35.64 % patients with MRD < 0.1 % represented 5-year event-free survival (EFS) of 100 %; 48.40 % cases with 0.1 % ≀ MRD< 10 % had EFS 84.6 Β± 4.2 %; 15.96 % patients with very high MRD (β‰₯ 10 %) belonged to group with poor outcome (EFS 56.7 Β± 9.0 %). At the end of remission induction (day 36) 36 children (18.85 %) with MRD higher than 0.1 % had significantly worse outcome compared to remaining ones (EFS 49.4 Β± 9.0 and 93.5 Β± 2.1 % respectively; p Λ‚ 0.0001). From a clinical standpoint it is relevant to evaluate both low-risk and high-risk criteria. Multivariate analysis showed that day 15 MRD data is better for low-risk patients definition while end-induction MRD is the strongest unfavorable prognostic factor

    Relation between genomic dna breakpoints in mll gene and treatment outcome in infants with acute leukemia

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    ЦСль: ΠžΡ†Π΅Π½ΠΈΡ‚ΡŒ влияниС Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Ρ‚ΠΎΡ‡ΠΊΠΈ Ρ€Π°Π·Ρ€Ρ‹Π²Π° Π² Π³Π΅Π½ΠΎΠΌΠ½ΠΎΠΉ Π”ΠΠš Π³Π΅Π½Π° MLL Π½Π° ΠΏΡ€ΠΎΠ³Π½ΠΎΠ· острых Π»Π΅ΠΉΠΊΠΎΠ·ΠΎΠ² (ΠžΠ›) Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ Π³ΠΎΠ΄Π° ΠΆΠΈΠ·Π½ΠΈ. ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹: Π’ исслСдованиС Π±Ρ‹Π»ΠΎ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΎ 68 Π΄Π΅Ρ‚Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ Π³ΠΎΠ΄Π° ΠΆΠΈΠ·Π½ΠΈ (29 ΠΌΠ°Π»ΡŒΡ‡ΠΈΠΊΠΎΠ² ΠΈ 39 Π΄Π΅Π²ΠΎΡ‡Π΅ΠΊ с ΠΌΠ΅Π΄ΠΈΠ°Π½ΠΎΠΉ возраста 4,8 мСс.) с MLL-ΠΏΠΎΠ·ΠΈΡ‚ΠΈΠ²Π½Ρ‹ΠΌΠΈ острым лимфобластным Π»Π΅ΠΉΠΊΠΎΠ·ΠΎΠΌ (ΠžΠ›Π›) (n = 46), острым ΠΌΠΈΠ΅Π»ΠΎΠΈΠ΄Π½Ρ‹ΠΌ Π»Π΅ΠΉΠΊΠΎΠ·ΠΎΠΌ (ΠžΠœΠ›) (n = 20) ΠΈ ΠžΠ› смСшанной линСйности (n = 2). Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: 5-лСтняя бСссобытийная Π²Ρ‹ΠΆΠΈΠ²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ (Π‘Π‘Π’) Π΄Π΅Ρ‚Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ Π³ΠΎΠ΄Π° ΠΆΠΈΠ·Π½ΠΈ с ΠžΠ›Π›, Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Π½Ρ‹Ρ… Π² исслСдованиС MLL-Baby, с Ρ‚ΠΎΡ‡ΠΊΠΎΠΉ Ρ€Π°Π·Ρ€Ρ‹Π²Π° Π² ΠΈΠ½Ρ‚Ρ€ΠΎΠ½Π΅ 11 Π”ΠΠš Π³Π΅Π½Π° MLL (n = 29) Π±Ρ‹Π»Π° статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Π½ΠΈΠΆΠ΅, Ρ‡Π΅ΠΌ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² c Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠ΅ΠΉ Ρ‚ΠΎΡ‡Π΅ΠΊ Ρ€Π°Π·Ρ€Ρ‹Π²Π°, начиная с ΠΈΠ½Ρ‚Ρ€ΠΎΠ½Π° 7 ΠΏΠΎ экзон 11 (n = 17; 0,16 Β± 0,07 ΠΈ 0,38 Β± 0,14; p = 0,039), Π° кумулятивная Π²Π΅Ρ€ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒ развития Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° Π±Ρ‹Π»Π° Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Π²Ρ‹ΡˆΠ΅ Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ с Ρ‚ΠΎΡ‡ΠΊΠΎΠΉ Ρ€Π°Π·Ρ€Ρ‹Π²Π° Π² ΠΈΠ½Ρ‚Ρ€ΠΎΠ½Π΅ 11 (0,74 Β± 0,09 ΠΈ 0,52 Β± 0,17; p = 0,045). Π’ Ρ‚ΠΎ ΠΆΠ΅ врСмя ΠΌΠ½ΠΎΠ³ΠΎΡ„Π°ΠΊΡ‚ΠΎΡ€Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°Π», Ρ‡Ρ‚ΠΎ СдинствСнным Π·Π½Π°Ρ‡ΠΈΠΌΡ‹ΠΌ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠΌ, связанным с нСблагоприятным ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΎΠΌ, остаСтся сохранСниС минимальной остаточной Π±ΠΎΠ»Π΅Π·Π½ΠΈ (ΠœΠžΠ‘) Π² Ρ‚ΠΎΡ‡ΠΊΠ΅ наблюдСния 4 ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»Π° MLL-Baby (ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ опасности 5,994; 95%-ΠΉ Π΄ΠΎΠ²Π΅Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π» 2,209–16,263; p < 0,001). Π£ 22 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠžΠœΠ› связи ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΎΠΌ ΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠ΅ΠΉ Ρ‚ΠΎΡ‡ΠΊΠΈ Ρ€Π°Π·Ρ€Ρ‹Π²Π° Π² Π”ΠΠš Π³Π΅Π½Π° MLL Π½Π΅ выявлСно. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: НаличиС Ρ‚ΠΎΡ‡ΠΊΠΈ Ρ€Π°Π·Ρ€Ρ‹Π²Π° Π² ΠΈΠ½Ρ‚Ρ€ΠΎΠ½Π΅ 11 Π³Π΅Π½Π° MLL Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ Π³ΠΎΠ΄Π° ΠΆΠΈΠ·Π½ΠΈ с ΠžΠ›Π›, ΠΏΠΎΠ»ΡƒΡ‡Π°Π²ΡˆΠΈΡ… Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΏΠΎ ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»Ρƒ MLL-Baby, Π²Π΅Π»ΠΎ ΠΊ статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΈΠΌ показатСлям Π‘Π‘Π’ ΠΈ Π±ΠΎΠ»Π΅Π΅ высокой кумулятивной вСроятности развития Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π°. Однако Π² ΠΌΠ½ΠΎΠ³ΠΎΡ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ риска это Π½ΠΈΠ²Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π»ΠΎΡΡŒ сохранСниСм ΠœΠžΠ‘ Π² Ρ‚ΠΎΡ‡ΠΊΠ΅ наблюдСния 4. Π£ Π΄Π΅Ρ‚Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ Π³ΠΎΠ΄Π° ΠΆΠΈΠ·Π½ΠΈ с ΠžΠœΠ› взаимосвязи ΠΌΠ΅ΠΆΠ΄Ρƒ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠ΅ΠΉ Ρ‚ΠΎΡ‡ΠΊΠΈ Ρ€Π°Π·Ρ€Ρ‹Π²Π° Π² Π”ΠΠš Π³Π΅Π½Π° MLL ΠΈ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΎΠΌ Π½Π΅ выявлСно.Aim: To evaluate the relation between genomic DNA breakpoints in MLL and translocation partner genes (TPG) and clinical parameters of infant AL. Methods: 68 infants (29 boys and 39 girls with median age of 4.8 mo) with MLL-rearranged acute lymphoblastic leukemia (ALL) (n = 46), acute myeloid leukemia (AML) (n = 20) and mixed phenotype acute leukemia (MPAL) (n = 2) were included in the current study. Results: 5-year EFS was significantly lower in patients with breakpoints in intron 11 (n = 29) in comparison to patients with breakpoint localized from intron 7 to exon 11 (n = 17) (0.16 Β± 0.07 vs 0.38 Β± 0.14, p = 0.039). While cumulative incidence of relapse was remarkably higher in the first group of patients (0.74 Β± 0.09 vs 0.52 Β± 0.17, p = 0.045). Although in Cox regression model including breakpoint location in intron 11 together with age, immunophenotype, initial white blood cell count, initial CNS involvement, type of MLL rearrangements, absolute blast number at day 8 of dexamethasone profase, minimal residual disease (MRD) at time point 4 (TP4) of MLL-Baby protocol, the only significant covariate was the presence of MRD at TP4 (HR 5.994, 95% CI 2.209–16.263, p < 0.001). In 22 AML patients there was not any correlation between breakpoint location and treatment outcome. Conclusion: Breakpoints in intron 11 of MLL gene led to significantly worse outcome in infants with ALL, treated by MLL-Baby protocol, although this parameter was overcome by MRD-positivity at TP4. The latter was the only independent covariate in multivariate analysis. Our data provide additional information of molecular genetic features of MLL-rearranged infant AL
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