The Prognostic Impact of High EVI1 expression In AML Is Due to Its Close Correlation to Rearrangements Involving EVI1 or MLL, which Are Cytogenetically Cryptic In a Subset of Patients: a Study on 332 Cases.

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 1676-1676
Author(s):  
Claudia Haferlach ◽  
Vera Grossmann ◽  
Melanie Zenger ◽  
Tamara Alpermann ◽  
Alexander Kohlmann ◽  
...  
Keyword(s):  
Chromosome Banding ◽  
Normal Karyotype ◽  
Fish Analysis ◽  
Prognostic Impact ◽  
Employment Equity ◽  
Npm1 Mutation ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Equity Ownership ◽  
The Impact

Abstract Abstract 1676 Introduction: High EVI1 expression has been proposed as a negative prognostic factor in AML. An association between high EVI1 expression and distinct cytogenetic subgroups, such as 3q26-rearrangements, MLL-rearrangements and -7/7q- have been reported. Both 3q26- and MLL-rearrangements can be difficult to detect by chromosome banding analyses or may even be cytogenetically cryptic in a subset of patients due to limited resolution. Therefore, only studies using FISH for the detection of cryptic EVI1- or MLL-rearrangements can clarify their frequencies in AML with elevated EVI1 expression. Methods/Patients:: The study cohort was composed of 332 AML cases with a) normal karyotype (NK) (n=211), b) -7/7q- (n=77), and for comparison c) 3q26-rearrangements (n=38), and d) MLL-rearrangement (n=6). In all cases EVI1 expression was investigated using quantitative PCR calculating a % EVI1/ABL1 expression. In all cases FISH for EVI1 rearrangement was performed in addition to chromosome banding analysis. Cases with high EVI1 expression were also analyzed for MLL rearrangements by FISH. Results: In the total cohort, EVI1 expression varied between 0 and 1614 (median: 21.1). The highest EVI1 expression was measured in cases with cytogenetically identified 3q26-rearrangements (range: 6.1–566.4; median: 81.9) and in AML with MLL-rearrangements (range: 46.7–831; median: 239). The EVI1 expression was significantly lower in AML with NK (range: 0–1614; median: 0.5, p<0.001) and AML with -7/7q- (range: 0.03–199; mean: 34.5; median: 10.7, p<0.001). In the subgroup of cases with NK 4 MLL-rearrangements (1.9%) were detected by FISH and subsequently verified by fusion gene specific PCR. In addition, 4 cases with cryptic EVI1-rearrangements (1.9%) were identified by FISH analysis. Further genetic analysis revealed that these were due to t(3;8)(q26;q24) (n=2) and t(3;21)(q26;q11) (n=1). In one case, the EVI1-rearrangement could not be further analyzed due to lack of material. In the -7/7q- cohort 14/77 cases (18.2%) with cytogenetically cryptic EVI1 rearrangement including 3 novel recurrent abnormalities were detected: t(3;21)(q26;q11) (n=3), inv(3)(p24q26) (n=4) and t(3;8)(q26;q24) (n=2). In 5 cases FISH analysis revealed that the 7q- was not caused by an interstitial deletion but due to an unbalanced rearrangement between chromosomes 7 and 3: der(7)t(3;7)(q26;q21). In these 5 cases high-resolution SNP microarray were performed and revealed breakpoints in the CDK6 gene and centromeric of the EVI1 gene. Further mutation screening revealed that none of the cases with EVI1- or MLL-rearrangement harboured mutations in NPM1 or CEPBA. In 254 cases clinical follow-up data was available. Different cut-off levels of EVI1 expression were tested, and a cut-off at 30% EVI1/ABL1 expression was the lowest level that had a significant impact on outcome. Separating the cohort at this cut-off into high EVI1 (n=67) and low EVI1 expressors (n=187) showed a shorter EFS in patients with high EVI1-expression (p=0.001; relative risk (RR)=1.87, median EFS 6.2 vs 15.0 months (mo)), while no impact on OS was observed. When the same analyses were performed with respect to EVI1-rearrangements we observed both a significantly shorter EFS in cases with EVI1-rearrangement (n=39) vs all others (n=215) (p=0.001; RR=2.03, median EFS 4.6 vs 15.0 mo) and a significantly shorter OS (p=0.026; RR=1.73, median OS 10.1 vs 26.3 mo). Analyzing the impact of high EVI1 expression separately in the cohort without EVI1 rearrangement revealed no impact of EVI1 expression on EFS. Conclusions: The negative prognostic impact of high EVI1 expression is strongly associated with EVI1- or MLL-rearrangements and is absent in AML without EVI1- and MLL-rearrangement. Applying FISH in addition to chromosome banding analysis we identified cryptic rearrangements in 3.8% of AML with normal karyotype and in 18.2% of AML with -7/7q-, including 3 novel recurrent cytogenetically cryptic EVI1-rearrangements. This data supports the routine performance of FISH screening for EVI1- and MLL-rearrangements in patients with normal karyotype or 7q-/-7 and without NPM1 mutation and CEPBA mutation to assign patients to the correct biologic entity. The postulated independent prognostic impact of EVI1 expression should be tested further including this laboratory workflow as these parameters may have important impact on prognosis and future treatment strategies. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Grossmann:MLL Munich Leukemia Laboratory: Employment. Zenger:MLL Munich Leukemia Laboratory: Employment. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Array CGH Identifies Copy Number Changes In 10% Of 520 MDS Patients With Normal Karyotype: Deletions Encompass The Genes TET2, DNMT3A, ETV6, NF1, RUNX1, and STAG2 and Are Associated With Shorter Survival

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1516-1516
Author(s):  
Claudia Haferlach ◽  
Melanie Zenger ◽  
Marita Staller ◽  
Andreas Roller ◽  
Kathrin Raitner ◽  
...  
Keyword(s):  
Copy Number ◽  
Chromosome Banding ◽  
Array Cgh ◽  
Normal Karyotype ◽  
Employment Equity ◽  
Interphase Fish ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Equity Ownership ◽  
Copy Number Changes

Abstract Background In MDS, cytogenetic aberrations play an important role for classification and prognostication. The original IPSS and the revised IPSS classifiers have clearly demonstrated the prognostic impact of distinct cytogenetic abnormalities. The vast majority of chromosome aberrations in MDS are gains or losses of chromosomal material while balanced rearrangements are rare. However, more than 50% of MDS and even more in low risk MDS harbor a normal karyotype. Chromosome banding analysis can only detect gains and losses of more than 10 Mb size due to its limited resolution and is dependent on proliferation of the MDS clone in vitro to obtain metaphases. Array CGH has a considerably higher resolution and does not rely on proliferating cells. Aims In this study we addressed the question whether MDS with normal karyotype harbor cytogenetically cryptic gains and losses. Patients and Methods 520 MDS patients with normal karyotype were analyzed by array CGH (Human CGH 12x270K Whole-Genome Tiling Array, Roche NimbleGen, Madison, WI). For all patients cytomorphology and chromosome banding analysis had been performed in our laboratory. The cohort comprised the following MDS subtypes: RA (n=22), RARS (n=43), RARS-T (n=27), RCMD (n=124), RCMD-RS (n=111), RAEB-1 (n=104), and RAEB-2 (n=89). Median age was 72.2 years (range: 8.9-90.1 years). Subsequently, recurrently deleted regions detected by array CGH were validated using interphase-FISH. Results In 52/520 (10.0%) patients copy number changes were identified by array CGH. Only eight cases (1.5%) harbored large copy number alterations >10 Mb in size, as such generally detectable by chromosome banding analysis. These copy number alterations were confirmed by interphase-FISH. They were missed by chromosome banding analysis due to small clone size (n=2), insufficient in vitro proliferation (n=3) or poor chromosome morphology (n=3). In the other 44 patients with submicroscopic copy number alterations 18 gains and 32 losses were detected. The sizes ranged from 193,879 bp to 1,690,880 bp (median: 960,176 bp) in gained regions and 135,309 bp to 3,468,165 bp (median: 850,803 bp) in lost regions. Recurrently deleted regions as confirmed by interphase-FISH encompassed the genes TET2 (4q24; n=9), DNMT3A (2p23; n=3), ETV6 (12p13; n=2), NF1 (17q11; n=2), RUNX1 (21q22; n=2), and STAG2 (Xq25, deleted in 2 female patients). No recurrent submicroscopic gain was detected. In addition, we performed survival analysis and compared the outcome of patients with normal karyotype also proven by array CGH (n=462) to patients with aberrant karyotype as demonstrated by array CGH (n=52). No differences in overall survival were observed. However, overall survival in 35 patients harboring deletions detected solely by array CGH was significantly shorter compared to all others (median OS: 62.1 vs 42.4 months, p=0.023). Conclusions 1. Array CGH detected copy number changes in 10.0% of MDS patients with cytogenetically normal karyotype as investigated by the gold standard method, i.e. chromosome banding analysis. 2. Most of these alterations were submicroscopic deletions encompassing the genes TET2, ETV6, DNMT3A, NF1, RUNX1, and STAG2. 3. Interphase-FISH for these loci can reliably pick up these alterations and is an option to be easily performed in routine diagnostics in MDS with normal karyotype. 4. Patients harboring deletions detected solely by array-CGH showed worse prognosis. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Zenger:MLL Munich Leukemia Laboratory: Employment. Staller:MLL Munich Leukemia Laboratory: Employment. Roller:MLL Munich Leukemia Laboratory: Employment. Raitner:MLL Munich Leukemia Laboratory: Employment. Holzwarth:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

scholarly journals Abnormalities Detected By Array CGH and Fluorescence in Situ Hybridization in AML with Normal Karyotype Lacking Mutations in NPM1, CEBPA, RUNX1 and MLL Partial Tandem Duplications Are Associated with Unfavorable Outcome

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1371-1371
Author(s):  
Claudia Haferlach ◽  
Kathleen Zieschang ◽  
Susanne Schnittger ◽  
Tamara Alpermann ◽  
Melanie Zenger ◽  
...  
Keyword(s):  
Chromosome Banding ◽  
Array Cgh ◽  
Normal Karyotype ◽  
Employment Equity ◽  
In Vitro Proliferation ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Impact On Survival ◽  
Equity Ownership

Abstract Background: AML is a group of genetically distinct entities which have been defined by the presence of certain recurrent, mutually exclusive genetic abnormalities such as AML-specific fusion genes (e.g. PML-RARA, RUNX1-RUNX1T1) or recurrent molecular mutations (NPM1 mutations and CEBPA double mutations (dm)). In addition partial tandem duplications within the MLL gene (MLL-PTD) and RUNX1 mutations seem to play an important role in certain AML subtypes. A subset of AML with normal karyotype lacking the above-mentioned mutations is still poorly characterized. Array CGH and fluorescence in situ hybridization are able to detect abnormalities which are undetectable by chromosome banding analysis either due to a higher resolution, ability to detect copy neutral loss of heterozygosity (CN-LOH) and independence of in vitro proliferation. Aims: 1. Search for submicroscopic copy number changes and cryptic rearrangements in AML with normal karyotype lacking NPM1 and RUNX1 mutations, CEBPA dm, and MLL-PTD. 2. Determine whether submicroscopic cytogenetic changes impact on survival. Patients and Methods: For 1473 AML cases with normal karyotype complete data on mutation status of NPM1, CEBPA, RUNX1 and MLL -PTD was available. Of these 303 cases (21%) did not carry one of these mutations. Out of these 159 cases with de novo AML (median age: 68 years (range: 19-93)) were selected on the basis of availability of material for array CGH (SurePrint G3 ISCA CGH+SNP Microarray, Agilent, Waldbronn, Germany) and FISH screening with probes for MLL, RUNX1, CBFB, NUP98, MECOM/EVI1, NPM1, ETV6 and DEK-NUP214 (MetaSystems, Altlussheim, Germany; ABBOTT, Wiesbaden Germany). Results: In total in 67 of 159 patients (42%) abnormalities were identified by FISH and/or array CGH. In detail, 12 balanced rearrangements were detected by FISH screening involving NUP98 (n=7, in 6 of these a NUP98-NSD1 rearrangement was identified by PCR), MLL (n=2) and MECOM, RUNX1 and CBFB (one each). In addition, 27 gains, 42 losses and 41 copy neutral losses of heterozygosity (CN-LOH) were observed in 58 (37%) patients. Recurrent gains affected regions 6q23.3q23.3 (135.325.751-135.607.060) (n=2) and 8q24.21q24.21 (130.517.732-130.808.381) (n=2) while recurrent losses were found for the regions 21q22.12q22.12 encompassing the RUNX1 gene (36.228.735-36.303.952) (n=5), 5q31.2q31.2 including i.a. EGR1 and CTNNA1 (137.617.569-138.993.959) (n=3), 2q34q34 including i.a. IKZF2 (213.371.237-214.560.488) (n=2), 7q22.1q22.1 encompassing i.a. CUX1 (100.485.221-101.916.623) (n=2), and Yq11.223q12 (24.980.949-28.804.541) (n=2). Recurrent CN-LOH were observed on chromosomes 11q (n=10), 2p (n=5), 4q (n=4), 21q (n=3), 1p (n=2), 17q (n=2) and 18q (n=2). 20/27 gains and 38/42 losses were < 10 megabases in sizes and thus below the resolution of chromosome banding analysis. Only in 7 (4%) patients abnormalities (n=11) were identified which in principle are detectable by chromosome banding analysis. These were missed by chromosome banding analysis due to insufficient in vitro proliferation of the aberrant clone, small clone size or poor chromosome morphology. Comparing age, white blood cell count and bone marrow blast counts revealed no differences between patients with or without abnormalities detected by FISH and/or array CGH. However, FLT3-ITD and WT1 mutations were more frequent in cases with abnormalities (25% vs 7%, p=0.001; 9% vs 1%, p=0.021). Survival analysis was performed for 90 intensively treated patients. Overall survival (OS), event-free survival (EFS) and OS with censoring at time of allogeneic SCT (OSctx) were significantly shorter in patients with abnormalities detected by FISH and/or array CGH compared to those without (median OS: 19 vs 49 months, p=0.027; Figure 1; median EFS: 9 vs 21 months, p=0.016; median OSctx: 13 vs 26 months, p=0.018). Conclusions: 1. AML with normal karyotype based on chromosome banding analysis lacking a disease defining molecular mutation harbor balanced rearrangements, copy number gains and losses as well as CN-LOH at a high frequency (42%). 2. The presence of these abnormalities has a negative impact on survival demonstrating that FISH and array CGH can add prognostic information in the diagnostic work-up of AML with normal karyotype lacking a disease defining mutation. 3. Further investigations of mutations in genes located in regions of recurrent CN-LOH is necessary. Figure 1. Figure 1. Disclosures Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Zieschang:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Alpermann:MLL Munich Leukemia Laboratory: Employment. Zenger:MLL Munich Leukemia Laboratory: Employment. Perglerová:MLL2 s.r.o.: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Landscape of Secondary Genetic Lesions in Acute Myeloid Leukemia with Inv(16)/CBFB-MYH11

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 801-801
Author(s):  
Annette Fasan ◽  
Claudia Haferlach ◽  
Karolína Perglerová ◽  
Sonja Schindela ◽  
Susanne Schnittger ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Myeloid Leukemia ◽  
Chromosome Banding ◽  
Prognostic Impact ◽  
Rt Pcr ◽  
Employment Equity ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Equity Ownership ◽  
Acute Myeloid

Abstract Introduction: Acute myeloid leukemia (AML) with inv(16)(p13q22) or t(16;16)(p13;q22) accounts for 5-7% of adult AML and overall is associated with a favorable outcome. However, secondary genetic lesions have been shown to negatively impact on outcome. Aims: To assess the frequency and clinical impact of additional mutations and chromosomal aberrations in AML with inv(16)/CBFB-MYH11. Patients: We analyzed 138 patients (pts) who were referred to our laboratory for diagnosis of de novo AML between 2005 and 2014 (54 females; 84 males; median age 54 years, range: 20-88 years). All patients were proven to have inv(16)(p13q22) or t(16;16)(p13;q22) /CBFB-MYH11 by a combination of chromosome banding analysis, fluorescence in situ hybridization and RT-PCR. All 138 samples were analyzed by next generation sequencing using a 22-gene panel targeting ASXL1, CBL, DNMT3A, ETV6, EZH2, FLT3-TKD, IDH1, IDH2, KIT, KRAS, NPM1, NRAS, RAD21, RUNX1, SF3B1, SMC1A, SMC3, SRSF2, TET2, TP53, U2AF1, and WT1. Results: In total, 127 pts showed an inv(16)(p13q22), 10 pts a t(16;16)(p13;q22). One pt showed a normal karyotype with a cytogenetically cryptic CBFB-MYH11 rearrangement confirmed by RT-PCR. Using standard chromosome banding analysis, additional cytogenetic aberrations (ACA) were observed in 52 pts (38%). The most frequent secondary chromosome aberrations were +8 (15/52; 29%), +22 (15/52; 29%) and +21 (5/52; 10%). With regard to blood counts, cases with sole inv(16) had significantly elevated white blood cell counts compared to patients with inv(16) and ACA (78x109/L vs 20x109/L; p<0.001). 112/138 (81%) pts had at least one mutation in addition to CBFB-MYH11, 47/112 (42%) had at least two additional mutations (maximum: four). Most common were mutations in NRAS (35%), KIT (32%), FLT3-ITD and FLT3-TKD(20%) and KRAS (17%). Mutations in other genes (ASXL1, CBL, DNMT3A, RUNX1, SRSF2, TET2 and WT1) were found in less than 10% of cases. Comparing AML with CBFB-MYH11 withthe other core binding factor AML entity, i.e. AML with RUNX1-RUNX1T1 (Krauth et al., Leukemia 2014), the formershowed a higher incidence of additional mutations (81% vs 50%), however, the landscape of mutated genes was comparable. Solely, the frequency of ASXL1 mutations was higher in RUNX1-RUNX1T1 positive AML compared to CBFB-MYH11 positive AML (12% vs <1%). We additionally analyzed concomitant mutations in CBFB-MYH11 positive AML according to functional pathways. Mutations resulting in activated signaling (FLT3- ITDand FLT3- TKD, KRAS, NRAS, KIT) were identified in the majority of cases (n=107/138; 78%), while mutations of tumor suppressors (CBL, TP53, WT1) were detected in 18/138 cases only (13%). Mutations of myeloid transcription factors (CEBPA, RUNX1, ETV6), mutations of genes that modify the epigenetic status (ASXL1, EZH2, TET2, DNMT3A, IDH1/2 and MLL mutations), mutations of cohesin complex genes (SMC1A, SMC3 and RAD21) and spliceosome genes (SF3B1, U2AF1, SRSF2 and ZRSR2) were identified in less than 10% of cases. There was no difference in frequency and types of additional mutations between patients with inv(16) sole and those with inv(16) and ACA with the exception of WT1 mutations, which were more frequent in patients with inv(16) and ACA (8/51; 16% vs 2/84; 2%; p=0.006). Data regarding the prognostic impact of the concurrent genetic lesions, trisomy 22 and KIT mutations, in CBFB-MYH11 AML are controversial. In our cohort, survival analysis revealed no impact of trisomy 22 or concomitant KIT mutations on prognosis of CBFB-MYH11 AML. However, within patients with inv(16) sole those with concomitant KRAS mutations had a significantly worse overall survival (OS) compared to KRAS wild-type patients (2 year OS: 43% vs 23%; p<0.001). Conclusions: Secondary genetic lesions are detected in 91% of inv(16)/CBFB-MYH11 positive AML patients. NRAS mutations were the most frequent secondary lesions followed by KIT mutations, FLT3-ITD and FLT3-TKD. inv(16)/CBFB-MYH11 positive AML show high frequency of mutations resulting in activated signaling. Considering controversial studies, trisomy 22 and concomitant KIT mutations had no prognostic impact in our cohort of 132 inv(16)/CBFB-MYH11 AML cases. The only additional genetic marker with a significant adverse prognostic impact on OS was KRAS mutation. Disclosures Fasan: MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Perglerová:MLL2 s.r.o.: Employment. Schindela:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Characterization of CMML with Normal Karyotype in Comparison to CMML with Aberrant Karyotype

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1674-1674
Author(s):  
Claudia Haferlach ◽  
Manja Meggendorfer ◽  
Wolfgang Kern ◽  
Susanne Schnittger ◽  
Torsten Haferlach
Keyword(s):  
Chromosome Banding ◽  
Array Cgh ◽  
Negative Impact ◽  
Normal Karyotype ◽  
Employment Equity ◽  
Monosomy 7 ◽  
Cytogenetic Abnormalities ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Equity Ownership

Abstract Background: CMML is a myelodysplastic/myeloproliferative neoplasm with distinct morphological and genetic features. Based on differences in blast count CMML is divided into CMML-1 (<1% blasts in the peripheral blood (pB) and <10% in the bone marrow (BM)) and CMML-2 (5-19% blasts in pB, 10-19% in BM or presence of Auer rods). Clonal cytogenetic abnormalities are detected in only 20-40% of patients by chromosome banding analysis (CBA) while >90% of patients harbor at least one molecular mutation. The most frequent cytogenetic abnormalities include abnormalities of chromosome 7, trisomy 8 and complex karyotype. The genes most frequently mutated in CMML are TET2, ASXL1 and SRSF2. Aims: 1. Evaluate the frequency of submicroscopic gains and losses of chromosomal material as well as copy neutral loss of heterozygosity (CN-LOH) in CMML with normal karyotype in chromosome banding analysis (CBA). 2. Analyze the association of these lesions with molecular mutations and impact on survival. Patients and Methods: 69 patients with CMML-1 and 31 with CMML-2 and normal karyotype by CBA were evaluated by array CGH (SurePrint G3 ISCA CGH+SNP, Agilent, Waldbronn, Germany). 32 patients were female, 68 male, median age was 75 years (range: 50-89 years). These were compared to 41 cases with aberrant karyotype by CBA. Patients were screened for mutations (mut) in ASXL1, CBL, DNMT3A, EZH2, JAK2 V617F, KITD 816, KRAS, NRAS, RUNX1, SETBP1, SF3B1, SRSF2, TET2, and U2AF1. Results: In 35 cases (35%) with normal karyotype by CBA 46 abnormalities were detected by array CGH (CGHpos). These were 6 gains, 17 losses and 23 CN-LOH. No recurrent gain was observed, while recurrent losses of 4q24 (n=2, including TET2) and of 13q14 (n=2) were identified. CN-LOH was recurrently observed on 4q (n=6, including TET2), 11q (n=5, including CBL), 17q (n=4) and 7q (n=2). Mutations were identified at the following frequencies: TET2: 77% (74/96), SRSF2: 56% (54/97), ASXL1: 48% (46/96), RUNX1: 20% (20/98), CBL: 15% (15/97), KRAS: 12% (12/97), JAK2 V617F: 10% (10/98). The following genes were mutated in <10%: NRAS, SETBP1, EZH2, U2AF1, KIT D816, SF3B1, DNMT3A. 85 patients were analysed for all mutations. In median 3 mutations were identified per patient (range 0-6), while only in 1 patient no mutation was detected. 4/5 (80%) cases with 11q CN-LOH harbored a CBL mut and 7/8 (88%) cases with CN-LOH 4q or 4q24 deletion harbored a TET2 mut, indicating that these two gene mutations might contribute in homozygous manner to pathogenesis. NRAS mut were significantly less frequent in CMML CGHpos compared to CGHneg (0% vs 14.3%, p=0.024). Mutations in ASXL1 and RUNX1 frequently occurred together: 35% of ASXL1 mut cases also carried a RUNX1 mut as compared to 8% of ASXL1 wild-type cases (p=0.002). All 7 SETBP1 mut cases also carried an ASXL1 mut (p=0.04) Patients with CGHneg (n=65) and CGHpos (n=35) were compared to 41 cases with aberrant karyotype by CBA. While TET2 mut were detected at comparable frequencies in CGHneg and CGHpos patients (80% and 71%) they were significantly less frequent in CMML with aberrant karyotype (54%, p=0.021). On the other hand SETBP1 mut were more frequent in CMML with aberrant karyotype as compared to CGHpos and CGHneg (21%, 7%, 9%, p=0.08). A distinct mutation profile was identified in 9 patients with monosomy 7 who showed ASXL1 mut in 78%, SETBP1 mut in 75%, CBL mut in 33% and TET2 mut in only 22%. In CMML-2 RUNX1 mut were more frequent than in CMML-1 (33% vs 12%. p=0.008). No differences in overall survival (OS) were observed between patients with CGHneg, CGHpos and aberrant karyotype. However, Cox regression analyses revealed a negative impact on OS for ASXL1 mut (relative risk (RR): 2.4, p=0.027), RUNX 1mut (RR: 2.5, p=0.025) and CMML-2 (RR: 2.2, p=0.02). Conclusions: 1. 35% of CMML cases with normal karyotype based on chromosome banding analysis harbor abnormalities detectable by array CGH. 2. Prognosis in CMML is determined by the molecular mutation profile, cytogenetic abnormalities play a minor role. 3. Mutations in ASXL1 and RUNX1 are associated with a negative impact on survival. 4. The poor prognosis described for monosomy 7 seems to be due to a high frequency of ASXL1 und SETBP1 mutations. 5. Inferior outcome in CMML-2 might be due to a higher frequency of RUNX1 mutations. 6. In CMML a molecular work up including screening for mutations in ASXL1 and RUNX1 provides more relevant prognostic information than chromosome banding analysis and/or array CGH. Disclosures Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

In Depth Characterization of CLL with Normal Karyotype By Array CGH and Mutation Screening

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1707-1707 ◽  
Author(s):  
Claudia Haferlach ◽  
Sabine Jeromin ◽  
Wolfgang Kern ◽  
Susanne Schnittger ◽  
Torsten Haferlach
Keyword(s):  
Chromosome Banding ◽  
Array Cgh ◽  
Mutation Screening ◽  
Normal Karyotype ◽  
Employment Equity ◽  
Cytogenetic Abnormalities ◽  
Interphase Fish ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Equity Ownership

Abstract Background: CLL is characterized by a distinct pattern of cytogenetic abnormalities. The most frequent aberrations are deletions of 13q, 11q, 6q and 17p and trisomy 12. However, based on chromosome banding analysis complemented by interphase FISH no abnormalities are identified in approximately 15-20% of cases. In these cases either no cytogenetic aberrations are present or these may be missed by chromosome banding analysis (CBA) due to insufficient cell division in vitro or to too low resolution of chromosome banding analysis (10 MB). On the other hand by FISH a respective abnormality can only be detected if it is covered by the applied probe panel. Aims: 1. Apply array CGH and molecular mutation screening to characterize CLL cases in which CBA and FISH both did not reveal any cytogenetic abnormalities. 2. Determine prognostic factors in this CLL subset. Patients and Methods: Diagnosis of CLL was based on cytomorphology and immunophenotyping. All cases showed at least 15% of CLL cells. The median age was 67 years (range: 40-84, mean 64 years). Overall survival (OS) at 10 years was 81% and median time to treatment (TTT) was 8.9 years. 136 CLL patients were selected based on a normal karyotype in CBA and no abnormalities in interphase FISH with probes for 17p13 (TP53), 13q14 (D13S25, D13S319, DLEU), 11q22 (ATM), the centromeric region of chromosome 12 and t(11;14)(q13;q32) (IGH -CCND1). For all 136 patients the IGHV mutation status was determined and array CGH (SurePrint G3 ISCA CGH+SNP Microarray, Agilent, Waldbronn, Germany) was performed. Further, mutation analysis by DNA sequencing was performed in the following genes: TP53 (n=106), SF3B1 (n=106), MYD88 (n=83), XPO1 (n=83), NOTCH1 (n=83), FBXW7 (n=83), BIRC3 (n=45) and ATM (n=44). Results: In total 55 abnormalities were detected in 26/136 (19%) patients by array CGH. Of these 25 were deletions (size of 17 deletions was <10MB and 8 were >10MB), 23 were gains (17 <10MB; 6 >10MB) and 7 were CN-LOH (2 <10MB; 5 >10MB). The following recurrent abnormalities were identified: deletions of 13q14 (n=3); 1q42.12 (n=4), 4p16.3 (n=2), 7p14 (n=3); gains of Xp22.31 (n=2), 3q26-28 (n=2); and CN-LOH 17q (n=2). A mutated IGHV status was present in 68% of cases. Mutations were observed in SF3B1 (19%), NOTCH1 (7%), ATM (5%), XPO1 (4%), TP53 (3%), MYD88 (2%), FBXW7 (1%) and no mutation in BIRC3. Compared to a cohort of 1,115 CLL with aberrant karyotype by CBA/FISH, in the present CLL cohort with normal karyotype SF3B1 mutations were significantly more frequent (19% vs 8%, p=0.001), while TP53 mutations tended to be less frequent (3% vs 8%, p=0.07). In the 26 patients with normal karyotype by CBA/FISH but aberrant karyotype by array CGH (CGHpos) SF3B1 mutations were even more frequent than in cases with normal karyotype by both CBA/FISH and array CGH (CGHneg) (33% vs 14%, p=0.043). A mutated IGHV status was found in 71% of CGHneg patients compared to 58% of CGHpos cases (n.s.). Only age (relative risk (RR): 1.16 per decade, p=0.006) and percentage of CLL cells as determined by flow cytometry (% CLL cells) (RR: 1.36 per 10% increase) were significantly associated with OS and the impact of both parameters was independent of each other. TTT was significantly influenced by the following parameters: CGHpos (RR: 2.4, p=0.017), unmutated IGHV (RR: 4.7, p<0.0001), SF3B1 mutation (RR: 2.9, p=0.006), % CLL cells (RR: 1.32 per 10% increase, p<0.0001), and leucocyte count (RR: 1.043 per 10,000 increase, p=0.031). Multivariate Cox regression analysis revealed an independent impact on TTT for an unmutated IGHV status (RR: 4.7, p<0.0001), mutated SF3B1 (RR: 2.9, p=0.006), and % CLL cells (RR: 1.32 per 10%, p<0.0001). The median TTT was significantly shorter in patients with unmutated IGHV status and/or SF3B1 mutation (n=55) as compared to those without (n=57) (5.1 years vs not reached, p<0.0001). Conclusions: 1. CLL with normal karyotype as determined by chromosome banding analysis and FISH is characterized by a high frequency of SF3B1 mutations (19%). 2. Array CGH detects abnormalities in 19% of CLL with normal karyotype by CBA/FISH. 3. In CLL with normal karyotype by CBA/FISH a negative effect on TTT was found for the presence of any abnormalities detected by array CGH, SF3B1 mutations, an unmutated IGHV status, and the percentage of CLL cells. Thus, in younger patients the analysis of these parameters should be discussed to better define prognosis. Disclosures Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Jeromin:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Cytogenetic Clonal Evolution in MDS Is Associated with Shifts towards Unfavorable Karyotypes According to IPSS and Shorter Overall Survival: A Study on 988 MDS Patients Studied Sequentially by Chromosome Banding Analysis

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 968-968 ◽  
Author(s):  
Claudia Haferlach ◽  
Melanie Zenger ◽  
Tamara Alpermann ◽  
Susanne Schnittger ◽  
Wolfgang Kern ◽  
...  
Keyword(s):  
Overall Survival ◽  
Chromosome Banding ◽  
Cox Regression ◽  
Clonal Evolution ◽  
Employment Equity ◽  
Cox Regression Analysis ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Equity Ownership ◽  
Acquired Abnormalities

Abstract Abstract 968 Background and Aim: The karyotype is one of the most important prognostic factors in MDS with respect to survival and evolution to AML and may change during the course of the disease. The aim of this study was to evaluate 1. the frequency of acquisition of additional chromosome abnormalities during the course of the disease (clonal evolution), 2. the pattern of acquired genetic abnormalities, 3. the association of karyotype at diagnosis and clonal evolution and 4. the impact of clonal evolution on transformation to AML and overall survival (OS). Patients and Methods: 988 MDS patients were evaluated by chromosome banding analysis (CBA) during the course of their disease. According to IPSS 729 (73.8%) cases showed a favorable karyotype, 146 (14.8%) patients an intermediate karyotype and 113 (11.4%) cases an unfavorable karyotype at first investigation. Progression to AML occurred in 180 of 988 patients during follow-up. Results: 2,454 chromosome banding analyses were performed in 988 cases (mean: 2.48 per case, range: 2–9). The median time between the first and the last evaluation was 12.5 months (range 1–60.6 months). Overall, in 171 of 988 patients (17.3%) clonal evolution was observed. Clonal evolution was detected between 1 and 56 months (median 14.3 months) after first evaluation and occurred later in patients with favorable than in patients with intermediate or unfavorable karyotype (mean 19.8 mo vs 15.5 mo vs 10.5 mo, favorable vs intermediate p=0.07, intermediate vs unfavorable p=0.05 and favorable vs unfavorable p<0.001). The abnormalities most frequently acquired during the course of the disease were +8, 7q−/−7, and gain of 21q detected in 29 cases each, followed by loss of 12p (n=22), 5q (n=14), 17p (n=19), and 20q (n=12). Other recurrently acquired abnormalities were +13 (n=12), +1q (n=12), +3q (n=12), −3q (n=10). Clonal evolution was strongly associated with cytogenetic IPSS category: Clonal evolution occurred in 100/729 cases with upfront favorable cytogenetics (13.7%), in 32/146 patients (21.9%) with upfront intermediate cytogenetics, but in 39/113 cases (34.5%) with upfront unfavorable cytogenetics (p<0.001). In 100 patients with favorable cytogenetics and clonal evolution karyotype was intermediate at second evaluation in 43 cases (43%), unfavorable in 25 cases (25%) and stayed favorable in the remaining 32 patients (32%). In 32 patients with intermediate cytogenetics and clonal evolution karyotype shifted to unfavorable at second evaluation in 11 cases (34.4%) and stayed intermediate in 21 patients (65.6%). Progression to AML was more frequent in patients with clonal evolution as compared to patients without (52/171 (30.4%) vs 128/817 (15.7%); p<0.001). In Cox regression analysis the IPSS karyotype at first evaluation, the IPSS karyotype at second evaluation, clonal evolution and progression to AML were associated with OS (relative risk: 2.12, 2.15, 1.87, and 6.6; p<0.001, p<0.001, p=0.011, p<0.001, respectively). In multivariate Cox regression analysis the IPSS karyotype at second evaluation and progression to AML were independently associated with shorter OS (relative risk: 2.0, and 6.1; p=0.013, p<0.001, respectively). Clonal evolution was associated with shorter OS (median 130.4 months vs not reached, OS at 5 years 72.3%vs 82.9%, p=0.01). Also in the subset of patients without transformation to AML outcome was inferior in patients with clonal evolution as compared to those without clonal evolution (OS at 5 years 78.2% vs 83.0%, p=0.05). Conclusions: 1. Clonal evolution was observed in 17.3% of patients with MDS. 2. The pattern of acquired abnormalities resembles the pattern observed in MDS at primary evaluation. 3. A higher frequency of clonal evolution and a shorter time to clonal evolution is observed in higher cytogenetic IPSS scores determined at first evaluation. 4. Clonal evolution is significantly associated with transformation to AML and shorter OS. 5. Sequential cytogenetic analyses allow the identification of subsets of MDS patients with a higher risk for transformation to AML and thus might guide treatment decisions in future. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Zenger:MLL Munich Leukemia Laboratory: Employment. Alpermann:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

scholarly journals In CLL with Normal Karyotype By Conventional and Genomic Array Karyotyping the Prognostic Impact of an Unmutated IGHV Status Is Stronger Than the Impact of Gene Mutations

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4357-4357 ◽  
Author(s):  
Calogero Vetro ◽  
Torsten Haferlach ◽  
Manja Meggendorfer ◽  
Sabine Jeromin ◽  
Constance Regina Baer ◽  
...  
Keyword(s):  
Gene Mutation ◽  
Mutation Rate ◽  
Gene Mutations ◽  
Normal Karyotype ◽  
Prognostic Impact ◽  
Employment Equity ◽  
Mutation Status ◽  
Genomic Array ◽  
Equity Ownership ◽  
The Impact

Abstract Background: In 15-20% of CLL cases no aberrations are detected by chromosome banding analysis (CBA) and FISH due to limited resolution, lack of evaluable metaphases or presence of aberrations in loci not covered by standard-panel FISH probes. As reported in our previous study (Haferlach C. et al., ASH 2015, abs ID#79545), genomic arrays (GA) detected abnormalities in almost 20% of cases classified as normal by CBA and FISH and these showed an impact on time to first treatment (TTT) (Vetro C. et al., EHA 2016, abs ID# E1069). The CLL subgroup without abnormalities in CBA, FISH, and GA has not been characterised in detail, so far. Aims: 1) to describe CLL without abnormalities by CBA/FISH/GA by evaluating an extended gene panel, the IGHV mutation status and the B-cell receptor (BCR) stereotypy; 2) to determine prognostic impact of these factors. Patients and Methods: CLL diagnosis was based on cytomorphology and immunophenotyping according to standard guidelines. From a cohort of 1190 patients at diagnosis, 133 (11%) were selected based on normal karyotype by CBA, no abnormalities by interphase FISH with probes for 17p13 (TP53), 13q14 (D13S25, D13S319, DLEU), 11q22 (ATM), centromeric region of chromosome 12 and t(11;14)(q13;q32) (IGH-CCND1) and no abnormalities by GA (SurePrint G3 ISCA CGH+SNP Microarray, Agilent, Waldbronn, Germany). IGHV mutation status and BCR stereotypy were determined according to Agathangelidis et al., Blood 2012, and DNA sequencing was performed for the following genes: ATM; SF3B1; TP53; KLHL6; KRAS; MYD88; NOTCH1; NRAS; POT1; FBXW7; HIST1H1E; XPO1; ITPKB; MAPK1; BIRC3; BRAF; DDX3X; EGR2; RIPK1; RPS15; CND2. Results: Median age was 66 years (range: 33-83). Median follow-up was 5.6 years, 33 patients (25%) received treatment since genetic analyses. 10-year overall survival (OS) was 76% and median TTT was 9.2 years. Mutations were observed in 53 patients (40%): SF3B1 (n=17; 13%); NOTCH1 (n=10; 8%); KLHL6 (n=6; 5%); TP53 (n=6; 5%); ATM (n=5; 4%); XPO1 (n=4; 3%); FBXW7 (n=3; 2%); MYD88 (n=3; 2%); DDX3X (n=2; 2%); POT1 (n=2; 1.5%); ITPKB (n=1; 1%); KRAS (n=1; 1%); NRAS (n=1; 1%); and no mutation in RPS15, CCND2, MAPK1, EGR2, BRAF, HIST1H1E, RIPK1, BIRC3. 6 patients had 2 simultaneous gene mutations and 1 patient had 3 (i.e. NOTCH1, ATM and TP53). A mutated IGHV status (IGHV-M) was present in 100 patients (75%) and an unmutated IGHV status (IGHV-U) in 33 patients (25%). IGHV-U was related to both the occurrence of any gene mutation (p<0.001) and the number of gene mutations (p=0.001). NOTCH1 was mutated in 7 out of the 33 IGHV-U patients (21%), but only in 3 out of 99 IGHV-M patients (3%) (p=0.001). XPO1 mutation occurred in 4 IGHV-U patients (12%) and none out of IGHV-M (p<0.001). Two IGHV-U patients showed POT1 mutation (6%), but no IGHV-M case (p=0.014). 9 patients out of 133 (7%) showed BCR-stereotypy. 2 were in cluster CLL#1 (both showing NOTCH1 mutation), 2 in cluster CLL#2 (both of them with SF3B1 mutation), 2 in CLL#4, 1 in CLL#8 (showing NOTCH1 and XPO1 mutations), 1 in CLL#201 (with KLHL6 mutation) and 1 in CLL#202 (with mutations in ATM, TP53 and NOTCH1 genes). In Kaplan-Meier analysis, IGHV-M patients did not reach a median TTT, while IGHV-U had a median of 5.1 years (p<0.001). Stereotypy rate was too low for reliable statistics. At univariate analysis, TTT was only influenced by: IGHV-U (relative risk (RR): 3.9, p<0.001), TP53 mutation (RR: 3.7, p=0.03), % CLL cells (RR: 1.2 per 10% increase, p=0.013), and number of mutations (RR: 1.8 per each mutation, p=0.031). Multivariate Cox regression analysis showed an independent role for IGHV-U status (RR: 3.3, p=0.002) and % CLL cells (RR: 1.2 per 10% increase, p=0.038) Only age showed an impact on OS (RR: 1.2 per decade, p<0.001). Conclusions: 1. The CLL subset without any genomic event by CBA/FISH/genomic array is characterized by very low frequency of IGHV-U status; 2. IGHV-U subgroup showed higher gene mutation rate compared to IGHV-M subgroup, in particular higher NOTCH1, XPO1 and POT1 mutation rate; 3. BCR stereotypy is less frequent than in CLL in general. 4. IGHV-U, as well as the higher disease burden (i.e. % CLL cells), has an independent negative impact on TTT. 5. Requirement for treatment is low and prognosis very favorable in CLL without any genomic event by CBA/FISH/genomic array and a mutated IGHV status. Disclosures Vetro: MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Jeromin:MLL Munich Leukemia Laboratory: Employment. Baer:MLL Munich Leukemia Laboratory: Employment. Nadarajah:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

About 17% of AML with NPM1 mutations Show a Specific Pattern of Chromosome Aberrations but These Cases Do Not Differ Prognostically from AML with NPM1 Mutations Carrying a Normal Karyotype

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 2527-2527
Author(s):  
Claudia Haferlach ◽  
Susanne Schnittger ◽  
Tamara Weiss ◽  
Wolfgang Kern ◽  
Brunangelo Falini ◽  
...  
Keyword(s):  
Chromosome Aberrations ◽  
Chromosome Banding ◽  
Who Classification ◽  
De Novo ◽  
Normal Karyotype ◽  
Prognostic Impact ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Additional Chromosome ◽  
De Novo Aml

Abstract AML with mutated nucleophosmin gene (AML NPM1mut) usually carries a normal karyotype and will be suggested as a provisional entity in the new WHO classification. Thus far, the impact of chromosome aberrations in AML NPM1mut has not been evaluated in detail. Aim of this study was to determine the incidence and prognostic impact of clonal chromosome aberrations in NPM1mut. We further compared this pattern to additional aberrations in AML with recurrent genetic aberrations: t(8;21)(q22;q22), inv(16)(p13q22)/t(16;16)(p13;q22), t(15;17)(q22;q12) and 11q23-abnormalities leading to an MLL-rearrangement. In total 415 AML (de novo AML: 392, s-AML: 11, t-AML: 12) showing an NPM1 mutation were analyzed by chromosome banding analysis. 71 of these showed clonal chromosome aberrations (17.1%; de novo AML: 63 (16.1%), s-AML: 5 (45.5%), t-AML: 3 (25%); de novo AML vs. s-AML: p=0.024). Overall, 111 chromosome aberrations were observed. The most frequent abnormalities were +8 (n=30), −Y (n=10), +4 (n=9), del(9q) (n=5), +21 (n=4), −7 (n=3), +5 (n=2), +10 (n=2), +13 (n=2),+18 (n=2), del(12p) (n=2), del(20q) (n=2), other non-recurrent balanced aberrations (n=6), other non-recurrent unbalanced aberrations (n=32). For comparison 63 AML with t(8;21), 37 cases with inv(16)/t(16;16), 83 patients with t(15;17) and 83 AML showing a 11q23/MLL-rearrangement were evaluated. 44 (69.7%), 13 (35.1%), 39 (47%), and 28 (43.1%) cases showed clonal chromosome aberrations in addition, respectively. Therefore, additional chromosomal aberrations are more frequent in all these subgroups than in the AML NPM1mut. Similar to NPM1mut cases +8 (n=2), −X/Y (n=32), +4 (n=2), and del(9q) (n=10) were observed. The only other recurrent additional aberrations was del(11q) (n=2). In inv(16)/t(16;16) we also found +8 (n=5) and −Y (n=1). The only other recurring additional aberrations were +22 (n=6) and del(7q) (n=2). In AML with t(15;17) recurring additional abnormalities were +8 (n=12), −Y (n=3), del(9q) (n=2), ider(17)(q10) t(15;17) (n=7). AML with 11q23/MLL-rearrangement showed +4 (n=2), +8 (n=8), +13 (n=2), +19 (n=4), +21(n=4), +22 (n=2), −Y (n=1). Thus, chromosome aberration in AML NPM1mut share many overlaps to those in AML with recurrent aberrations. Furthermore, the prognostic impact of chromosome aberrations in AML NPM1mut was evaluated. No difference with respect to overall survival (OS) and event-free survival (EFS) was observed between AML NPM1mut with a normal (n=344) and an aberrant karyotype (n=71) (OS at 2 yrs 78% vs. 81%, p=0.969; EFS at 2 yrs 40% vs. 50%, median EFS 544 days vs. 522 days, p=0.253). The FLT3-ITD status was available in 400 cases. 127 (38%) of 334 cases with a normal karyotype showed a FLT3-ITD, while in only 16 (24%) of 66 cases with an aberrant karyotype a FLT3-ITD was observed (p=0.035). While the negative prognostic impact of additional FLT3-ITD was confirmed in our cohort, the presence of chromosome aberrations did not influence prognosis neither in the FLT3-ITD negative nor in the FLT3-ITD positive subgroup. In addition, 31 patients with AML NPM1mut were analyzed by chromosome banding analysis at diagnosis and at relapse (median time diagnosis to relapse: 301 days (range: 71–986). 22 cases (71%) showed a normal karyotype both at diagnosis and relapse. In 4 cases a normal karyotype was observed at diagnosis and an aberrant karyotype at relapse (del(9q) (n=2), t(2;11) (n=1), inv(12) (n=1)). One case with +8 at diagnosis showed +8 also at relapse. One case with +4 at diagnosis showed +4 and additional aberrations at relapse. In 1 case clonal regression was observed (+21 -&gt; normal). One case with an unbalanced 1;3-translocation at diagnosis showed a der(17;18) (q10;q10) at relapse and one case with −Y at diagnosis showed a del(3p) at relapse. In conclusion: 1. Frequency of additional chromosome aberrations is low in AML NPM1mut as compared to other genetically defined WHO entities. 2. The pattern of additional chromosome aberrations is overlapping between the 5 groups analyzed. 3. Chromosome aberrations observed at diagnosis in AML NPM1mut do not influence prognosis in comparison to AML NPM1mut with normal karyotype. 4. The karyotype is stable in most AML NPM1mut patients at diagnosis and at relapse. These results point to chromosomal aberrations occurring in AML NPM1mut as secondary events and further support inclusion of AML NPM1mut as a provisional entity in the new WHO classification.

17p Deletion Is the Most Frequent Abnormality Acquired During Clonal Evolution in Chronic Lymphocytic Leukemia (CLL): 429 Cases Analyzed by Interphase FISH and Chromosome Banding Analysis,

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3870-3870
Author(s):  
Claudia Haferlach ◽  
Melanie Zenger ◽  
Susanne Schnittger ◽  
Wolfgang Kern ◽  
Torsten Haferlach
Keyword(s):  
Median Time ◽  
Chromosome Banding ◽  
Clonal Evolution ◽  
Complex Karyotype ◽  
Employment Equity ◽  
Mutation Status ◽  
Time Points ◽  
Banding Analysis ◽  
Chromosome Banding Analysis ◽  
Equity Ownership

Abstract Abstract 3870 Background and Aim: CLL is a chronic disease with heterogeneous clinical course. While a subset of patients requires early treatment others are followed without treatment for many years. Cytogenetic aberrations have major impact on the prognosis. The aim of this study was to evaluate 1) the frequency of gain of additional chromosome aberrations during the course of the disease (clonal evolution,CE) 2) the pattern of genetic abnormalities acquired during the CE 3) the association between genetic parameters at diagnosis and CE and 4) the impact of CE on clinical outcome. An additional aim was to compare monitoring by interphase FISH (IP-FISH) or chromosome banding analysis (CBA). Patients and Methods: Two different cohorts were evaluated: A) 363 CLL patients who were analyzed during the course of their disease at least at 2 time points by IP-FISH. In this cohort only patients were enrolled who were analyzed at each time point with the complete FISH panel using probes for 13q14 (D13S25, D13S319), 11q22 (ATM), 17p (TP53), 6q21/6q23, chromosome 12 centromer and IGH -CCND1. B) 245 CLL patients who were evaluated by CBA at least at 2 time points. 179 cases were included in both cohorts. Results: In cohort A 954 FISH analyses were performed in 363 cases (mean: 2.6, range: 2–14). The median time between the first and the last evaluation was 21.1 months (range 1.0–68.9 months). Overall, in 42 of 363 patients (11.6%) clonal evolution was observed, 9.3% of untreated and 16.8% of treated patients showed clonal evolution (p=0.05). The most frequently acquired abnormality was a 17p deletion detected in 12/42 (28.6%) cases, followed by deletion of 13q14 and 11q22 (9 cases each, 21.5%). In 6/131 (4.6%) cases with heterozygous 13q14 deletion at first analysis a homozygous 13q14 deletion was observed during follow up. In 290 of 363 the IGHV mutation status was available. An unmutated IGHV status tended to be associated with clonal evolution, 26/35 (74.3%) cases with and 147/255 (57.6%) patients without clonal evolution showed an unmutated IGHV status (p=0.067). No association between any specific abnormality detected by FISH and clonal evolution was observed. The median time between first FISH analysis and the first detection of clonal evolution was 25 months (range 2–65 months). In cohort B 618 CBA were performed in 245 cases (mean: 2.5, range: 2–8). The median time between the first and the last evaluation was 18.8 months (range 1.0–68.9 months). In 73 patients (30.0%) clonal evolution was observed. The most frequently acquired abnormality was loss of 17p detected in 26 cases, followed by deletion of 13q (n=21), and 11q (n=8). Other recurrent aberrations occurring during CE were gains of 8q (n=14), 13q (n=11), 17q (n=8), 1q (n=7), 3q (n=6), 16q (n=6), 4q (n=5), 1p (n=5), 9q (n=4), 15q (n=4), losses of 8p (n=10), 9q (n=8), 8q (n=7), 9p (n=7), 6q (n=7), 1q (n=6), 6p (n=5), 1p (n=5), 10q (n=4), 7q (n=3) and 14q32-rearrangement (n=6) with different partners (2p11, 4p16, 10p11, 2x 8q24, 19q13). In 202 of 245 patients the IGHV mutation status was available. An unmutated IGHV status was significantly more frequent in cases with as compared to patients without CE (44/62 (71.0%) vs 75/140 (53.6%), p=0.021). The median time between first CBA and the first detection of clonal evolution was 21 months (range 1–65 months). Clonal evolution was observed in 7/48 (14.6%) patients with normal karyotype, in 48/159 (30.2%) cases with non-complex aberrant karyotype and in 18/38 (47.4%) patients with complex karyotype (≥ 3 abnormalities) (p=0.04 for normal vs non-complex aberrant and p=0.056 for non-complex aberrant vs complex). For 135 of 245 cases clinical data with respect to treatment was available (45 cases with and 90 without CE). 33/45 (73%) patients with and 52/90 (57.8%) without clonal evolution had received treatment. A tendency towards a shorter overall survival was observed in patients with as compared to patients without CE detected by CBA (alive at 10 yrs 75.4% vs 93.5%). Conclusions: 1. Chromosome banding analysis detects clonal evolution more frequently than IP-FISH (30.0% vs 11.6%). 2. Clonal evolution occurs more frequently in patients with an unmutated IGHV status and an aberrant karyotype with the highest frequency in patients with complex karyotype. 3. Sequential analyses by FISH and CBA seem reasonable as especially 17p abnormalities occur frequently during the course of the disease, which impacts on treatment decisions. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Zenger:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

WT1 Mutations Are Secondary Events In AML and Show Varying Frequencies Within Genetic Subgroups and Different Impact On Prognosis

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 2542-2542
Author(s):  
Susanne Schnittger ◽  
Christiane Eder ◽  
Tamara Alpermann ◽  
Frank Dicker ◽  
Madlen Ulke ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Median Time ◽  
Univariate Analysis ◽  
Normal Karyotype ◽  
Adverse Impact ◽  
Prognostic Impact ◽  
Employment Equity ◽  
Genetic Aberrations ◽  
Equity Ownership ◽  
The Impact

Abstract Background Mutations (mut) in the WT1 gene belong to the first genetic aberrations described in AML. In contrast to recurrent fusion genes or NPM1mut WT1mut do not seem to be disease defining. Also in contrast to other mutations in AML, for most of which a certain prognostic value has been established, the impact of WT1mut still is discussed controversially. Aim Analyze the frequency and prognostic impact of WT1 mutations in comparison to other genetic aberrations. Patients and Methods 3,157 unselected AML patients (pts) were analyzed (de novo: n=2,699, s-AML: n=234, t-AML: n=224). 1,708 pts were male and 1,449 female. Median age was 67.1 years (y) (range: 17.8-100.4 y) with 1,108 pts <60 y and 2,049 ≥60 y. The mutational hot spot regions of WT1 (exons 7 and 9) were analyzed by direct Sanger sequencing with a sensitivity of ∼10%. Karyotype and WT1 mutation status was available in all cases. Other mutations were assessed in subsets: ASXL1 (n=1,951), CEBPA (n=2,670), DNMT3A (n=1,293), FLT3-ITD (n=3,149), FLT3-TKD (n=3,004), IDH1R132 (n=2,431), IDH2R140 (n=2,380), IDH2R172 (n=2,412), KRAS (n=1,409), NRAS (n=1,780), NPM1 (n=3,003), MLL-PTD (n=2,961), RUNX1 (n=2,390), TET2 (n=1,016) and TP53 (n=1,215). Results A total of 189 WT1 mutations were detected (exon 7: n=151, exon 9: n=38). The total frequency of WT1mut pts was 175/3,157 (5.5%). 11 pts were double to quadruple mutated. The frequency was heterogeneous with respect to AML subtypes. Compared to all others, significantly higher frequencies were detected in biallelic CEBPAmut (15/110; 13.6%; p=0.001), followed by t(15;17)/PML-RARA (18/164; 11.0%, p=0.004), and FLT3-ITD (58/682; 8.5%, p<0.001). Lower frequencies were observed in DNMT3Amut (18/412; 4.3%, p=0.014, ASXL1mut (6/355; 1.7%, p<0.001), IDH2R140 (5/286; 1.7%, p=0.001), and IDH1R132 (2/222; 0.9%, p<0.001). WT1mut were never detected in pts with complex karyotypes (0/175; p=0.047) or those with IDH2R172 (0/68; p=0.020). Further, WT1mut were more frequent in females (95/1,449, 6.6%) than in males (80/1,708, 4.7%) (p=0.014) and in younger pts (<60 y: 102/1,108, 9.2% vs ≥ 60 y: 73/2,049, 3.6%; p<0.001). Median age of pts with WT1mut was 55.5 y compared to 63.6 in WT1wt (p<0.001). Further, WT1mut were associated with lower platelet count (58.4 vs 84.7 x109/L; p<0.001) and lower hemoglobin level (8.8 vs 9.3 g/dL, p=0.001). There was no association to the history of the disease or white blood cell count. Stability of WT1mut was analyzed in 35 paired diagnostic and relapse samples (median time of relapse after diagnoses: 11.1 months (m); range: 2.6-60.6 m). In 23 cases (65.7%) the WT1mut was retained at relapse and in 12 cases (34.3%) it was lost. In 5 cases a sample at 2nd relapse was available (median time from 1st relapse: 8.5 m, range: 6.0-18.0 m). 3 of these cases retained and 2 lost the WT1mut. Analysis of prognostic impact was restricted to intensively treated pts (n=1,936, WT1mut: n=132, 6.8%). In the total cohort, there was no impact of WT1mut on prognosis. In pts ≥60 y there was a trend to shorter event free survival (EFS) for WT1mut (9.3 vs 12.3 m, p=0.052). In the two prognostically favorable groups with high WT1mut incidences (biallelic CEBPAmut and PML-RARA) no effect on outcome was seen. When restricting the analysis to normal karyotype AML (WT1mut: n=85, WT1wt: n=1,093) WT1mut pts had shorter EFS (10.8 vs 17.9 m, p=0.008). This was true for the younger (12.2 vs 29.0 m, p=0.007) as well as for the older pts (9.3 vs 13.9 m, p=0.016). In a multivariate analysis all parameters with significant impact on EFS in univariate analysis were included: age (p<0.001, HR: 1.24), ASXL1mut (p<0.001, HR: 1.36), FLT3-ITD (p<0.001, HR: 1.55), NPM1mut/FLT3-ITD wild-type (p<0.001, HR:1.55), RUNX1 (p=0.019, HR: 1.23, and WT1mut (p=0.009, HR: 1.64). In multivariate analysis WT1mut was found to have independent adverse impact on EFS (p=0.002, HR: 1.64) besides FLT3-ITD status (p<0.001, HR: 1.71) and age (p<0.001, HR: 1.28). Conclusions WT1 mutations are 1) more frequent in females and younger AML, 2) more frequent in t(15;17)/PML-RARA, biallelic CEBPAmut, FLT3-ITD mutated AML, and nearly mutually exclusive of ASXL1, IDH1, IDH2 and complex karyotype. 3) The distribution pattern in different genetic subtypes and the instability during follow-up as shown by paired sample analyses clearly emphasize a secondary character of this mutation. 4) For AML with normal karyotype an independent adverse impact of WT1mut on EFS was shown. Disclosures: Schnittger: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Eder:MLL Munich Leukemia Laboratory: Employment. Alpermann:MLL Munich Leukemia Laboratory: Employment. Dicker:MLL Munich Leukemia Laboratory: Employment. Ulke:MLL Munich Leukemia Laboratory: Employment. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Kuznia:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

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