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GENOMIC DNA BREAKPOINTS IN MLL AND TRANSLOCATION PARTNER GENES IN A LARGE COHORT OF INFANTS WITH ACUTE LEUKEMIA
Author(s): ,
Grigory Tsaur
Affiliations:
Regional Children’s Hospital # 1, Research Institute of Medical Cell Technologies,Ekaterinburg,Russian Federation
,
Claus Meyer
Affiliations:
Diagnostic Center of Acute Leukemia, Institute of Pharmaceutical Biology/ ZAFES, Goethe-University of Frankfurt,Frankfurt am Main,Germany
,
Anatoly Kustanovich
Affiliations:
Belarusian Research Center for Pediatric Oncology, Hematology and Immunology,Minsk,Belarus
,
Alexander Popov
Affiliations:
Regional Children’s Hospital # 1, Research Institute of Medical Cell Technologies,Ekaterinburg,Russian Federation
,
Tatyana Riger
Affiliations:
Regional Children’s Hospital # 1, Research Institute of Medical Cell Technologies,Ekaterinburg,Russian Federation
,
Elena Fleischman
Affiliations:
N.N. Blokhin Russian Cancer Research Center Russian Academy of Medical Science,Moscow,Russian Federation
,
Olga Sokova
Affiliations:
N.N. Blokhin Russian Cancer Research Center Russian Academy of Medical Science,Moscow,Russian Federation
,
Yulia Olshanskaya
Affiliations:
Federal Research Institute of Pediatric Hematology, Oncology and Immunology,Moscow,Russian Federation
,
Elena Matveeva
Affiliations:
Federal Research Institute of Pediatric Hematology, Oncology and Immunology,Moscow,Russian Federation
,
Olga Streneva
Affiliations:
Regional Children’s Hospital # 1, Research Institute of Medical Cell Technologies,Ekaterinburg,Russian Federation
,
Egor Shorikov
Affiliations:
Regional Children’s Hospital # 1, Research Institute of Medical Cell Technologies,Ekaterinburg,Russian Federation
,
Sergey Tsvirenko
Affiliations:
Ural State Medical University,Ekaterinburg,Russian Federation
,
Leonid Saveliev
Affiliations:
Ural State Medical University,Ekaterinburg,Russian Federation
,
Rolf Marschalek
Affiliations:
Diagnostic Center of Acute Leukemia, Institute of Pharmaceutical Biology/ ZAFES, Goethe-University of Frankfurt,Frankfurt am Main,Germany
Larisa Fechina
Affiliations:
Regional Children’s Hospital # 1, Research Institute of Medical Cell Technologies,Ekaterinburg,Russian Federation
(Abstract release date: 05/21/15) EHA Library. Tsaur G. 06/13/15; 103220; S439 Disclosure(s): Regional Children's Hospital #1, Research Institute of Medical Cell technologies
Pediatric Oncology and Hematology Center
Dr. Grigory Tsaur
Dr. Grigory Tsaur
Contributions
Abstract
Abstract: S439

Type: Oral Presentation

Presentation during EHA20: From 13.06.2015 12:15 to 13.06.2015 12:30

Location: Room C1

Background
Acute leukemia (AL) in infants is characterized by high incidence of MLL gene rearrangements.

Aims
To evaluate the relation between genomic DNA breakpoints in MLL and translocation partner genes (TPGs) and clinical parameters of infant AL.

Methods
87 infants (32 boys (37%) and 55 girls (63%), median age 4.9 mo) with MLL-rearranged acute lymphoblastic leukemia (ALL) (n=63), acute myeloid leukemia (AML) (n=22) and mixed phenotype acute leukemia (MPAL) (n=2) were included in the current study. Genomic DNA breakpoint detection in MLL gene and translocation partner genes (TPGs) was performed by long-distance inverse PCR (LDI-PCR). Exon-intron numbering of MLL gene was done according to I. Nilson et al, 1996.

Results
Majority of ALL cases was characterized by presence of MLL-AF4 fusion gene (FG) (n=35;55%), less frequently MLL-MLLT1 (n=12;22%), MLL-MLLT3 (n=8;13%) and others were found (Table 1). The most common breakpoint location within MLL gene in ALL patients was intron 11, detected in 31 cases (49%), less frequently breakpoints in intron 10 (n=13;21%) and intron 9 (n=9;14%) were found. The highest variability of MLL breakpoints was found in MLL-AF4-positive patients: only 15 of 35 (43%) had breakpoints in intron 11. The most stable pattern of MLL genomic DNA breakpoints was observed in MLL-MLLT1-positive patients: 9 of 14 (64%) had breakpoints in intron 11. In AML patients the most prevalent FG was MLL-MLLT3 (n=8;36%). The remaining ones are listed in Table 1. The most frequent breakpoint location was intron 9 (n=10;45%), less often they were found in intron 10 (n=5;23%) and 11 (n=4;18%). The most stable pattern was revealed for MLL-MLLT10 FG: MLL breakpoints in 4 of 5 (80%) cases were found in intron 9 (Table 1). In TPGs the most frequent breakpoint locations were as follows: in AF4 – intron 3 (n=25;69%) and intron 4 (n=7;19%); in MLLT1 – non-coding region between ACER1 and MLLT1 (n=9;60%) and intron 1 (n=5;33%); in MLLT3 – intron 5 (n=13;81%); in MLLT10 – intron 8 and intron 9 (n=2;33% each); in EPS15 – intron 1 (n=3;75%). The pattern of breakpoints locations in TPGs was similar in ALL, AML and MPAL cases. Distribution of DNA breakpoints in MLL gene was similar in boys and girls and did not depend on type of TPG. ALL patients who had breakpoints in intron 11 were significantly younger (median 3.0 mo, range 0.03-11.6) than all others (median 5.6 mo, range 0.7-11.9) (p=0.025) and than patients with MLL breakpoints in intron 9 (median 6.6 mo, range 3.1-11.9) (p=0.017). For AML cases we did not find any relation between age and breakpoints locations. We estimated prognostic significance of MLL breakpoint locations in 46 cases of infant ALL homogenously treated by MLL-Baby protocol. 5-year EFS was significantly lower in patients with breakpoint in intron 11 (n=29) in comparison to patients with breakpoints localized from intron 7 to exon 11 (n=17) (0.16±0.07 vs 0.38±0.14 p=0.035). While cumulative incidence of relapse was remarkably higher in the first group of patients (0.80±0.33 vs 0.56±0.20 p=0.020). Median follow-up time was 36 months. Although in Cox regression model including breakpoint position together with age, immunophenotype, initial WBC count, initial CNS involvement, type of MLL rearrangement, 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 3.160, 95% CI 1.159-17.815, p=0.021).

Summary

Our data provide additional information of molecular genetic features of MLL-rearranged infant AL.



Keyword(s): Acute lymphoblastic leukemia, Acute myeloid leukemia, Infant, MLL



Session topic: Translational studies in ALL
Abstract: S439

Type: Oral Presentation

Presentation during EHA20: From 13.06.2015 12:15 to 13.06.2015 12:30

Location: Room C1

Background
Acute leukemia (AL) in infants is characterized by high incidence of MLL gene rearrangements.

Aims
To evaluate the relation between genomic DNA breakpoints in MLL and translocation partner genes (TPGs) and clinical parameters of infant AL.

Methods
87 infants (32 boys (37%) and 55 girls (63%), median age 4.9 mo) with MLL-rearranged acute lymphoblastic leukemia (ALL) (n=63), acute myeloid leukemia (AML) (n=22) and mixed phenotype acute leukemia (MPAL) (n=2) were included in the current study. Genomic DNA breakpoint detection in MLL gene and translocation partner genes (TPGs) was performed by long-distance inverse PCR (LDI-PCR). Exon-intron numbering of MLL gene was done according to I. Nilson et al, 1996.

Results
Majority of ALL cases was characterized by presence of MLL-AF4 fusion gene (FG) (n=35;55%), less frequently MLL-MLLT1 (n=12;22%), MLL-MLLT3 (n=8;13%) and others were found (Table 1). The most common breakpoint location within MLL gene in ALL patients was intron 11, detected in 31 cases (49%), less frequently breakpoints in intron 10 (n=13;21%) and intron 9 (n=9;14%) were found. The highest variability of MLL breakpoints was found in MLL-AF4-positive patients: only 15 of 35 (43%) had breakpoints in intron 11. The most stable pattern of MLL genomic DNA breakpoints was observed in MLL-MLLT1-positive patients: 9 of 14 (64%) had breakpoints in intron 11. In AML patients the most prevalent FG was MLL-MLLT3 (n=8;36%). The remaining ones are listed in Table 1. The most frequent breakpoint location was intron 9 (n=10;45%), less often they were found in intron 10 (n=5;23%) and 11 (n=4;18%). The most stable pattern was revealed for MLL-MLLT10 FG: MLL breakpoints in 4 of 5 (80%) cases were found in intron 9 (Table 1). In TPGs the most frequent breakpoint locations were as follows: in AF4 – intron 3 (n=25;69%) and intron 4 (n=7;19%); in MLLT1 – non-coding region between ACER1 and MLLT1 (n=9;60%) and intron 1 (n=5;33%); in MLLT3 – intron 5 (n=13;81%); in MLLT10 – intron 8 and intron 9 (n=2;33% each); in EPS15 – intron 1 (n=3;75%). The pattern of breakpoints locations in TPGs was similar in ALL, AML and MPAL cases. Distribution of DNA breakpoints in MLL gene was similar in boys and girls and did not depend on type of TPG. ALL patients who had breakpoints in intron 11 were significantly younger (median 3.0 mo, range 0.03-11.6) than all others (median 5.6 mo, range 0.7-11.9) (p=0.025) and than patients with MLL breakpoints in intron 9 (median 6.6 mo, range 3.1-11.9) (p=0.017). For AML cases we did not find any relation between age and breakpoints locations. We estimated prognostic significance of MLL breakpoint locations in 46 cases of infant ALL homogenously treated by MLL-Baby protocol. 5-year EFS was significantly lower in patients with breakpoint in intron 11 (n=29) in comparison to patients with breakpoints localized from intron 7 to exon 11 (n=17) (0.16±0.07 vs 0.38±0.14 p=0.035). While cumulative incidence of relapse was remarkably higher in the first group of patients (0.80±0.33 vs 0.56±0.20 p=0.020). Median follow-up time was 36 months. Although in Cox regression model including breakpoint position together with age, immunophenotype, initial WBC count, initial CNS involvement, type of MLL rearrangement, 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 3.160, 95% CI 1.159-17.815, p=0.021).

Summary

Our data provide additional information of molecular genetic features of MLL-rearranged infant AL.



Keyword(s): Acute lymphoblastic leukemia, Acute myeloid leukemia, Infant, MLL



Session topic: Translational studies in ALL

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