ALBERT

Description: BACKGROUND: AML risk classification is based on genetics (cytogenetics and molecular features) and more recently also on minimal residual disease (MRD) after chemotherapy. These two aspects allow predicting relapse and supporting or not the most anti-leukemia treatment that remains allogeneic hematopoietic cell transplantation (HCT). We prospectively investigated the combined use of the two predictive markers to allocate post-remission therapy with or without HCT. Objectives of the study were testing: a) if this approach was feasible in a multicenter setting; b) the proportion of patients who were allocated to an allogeneic HCT and finally received the procedure; c) the final distribution into the risk categories and their outcome; d) to analyze the outcome of patients with favorable or intermediate genetics moved to the high risk category because of positive MRD. METHODS: Adult patients with primary AML treated at 15 academic hospitals were included between February 2012 and December 2018. Induction chemotherapy consisted of idarubicin 12 mg/m2 days 1-2-3 and cytarabine 200 mg/m2 days 1 to 7. Consolidation courses were high-dose cytarabine (3 g/m2 or 1.5 g/m2 if ≥60 y/o). The number of consolidation courses was based on genetic risk: 3 in favorable genetics category (FGC) (CBF, NPM1mut/FLT3-ITDwild or ratio0.1%) and/or quantitative PCR of the specific transcripts (RUNX1/RUNX1T1, CBFβ/MYH11 and NPM1). RESULTS: Seven hundred forty-five patients (median age: 55, range18-70 y/o, 51% male) were enrolled. Cytogenetics according the revised MRC classification in 707 informative cases was: CBF AML 12%, intermediate 65% (75% of them normal karyotype), and adverse 23%. FLT3-ITD was detected in 28% of patients with intermediate risk cytogenetics and NPM1 mutation in the same group was present in the 48%. Complete remission (CR) was achieved in 81% (n=603) of patients, 82% and 80% in patients up to and above 60 yrs, respectively. Induction death occurred in 9% of patients, 7% and 11% the two age groups, and 10% of patients had refractory leukemia; 542 (90%) of the 603 CR patients completed the consolidation phase and were risk allocated taking into account genetics and MRD. The remaining CR patients were not allocated because of early relapse (n=22), death in CR (n=5), severe toxicity (n=22) or others (n=12). After risk allocation, 208 (38%) patients were in the genetics-MRD combined favorable group (CFG), 103 (19%) in combined intermediate group (CIG) and 231 (43%) in the combined adverse group (CAG). In the latter, 185 (80%) of patients received an allogeneic HCT in first CR. Fifty-seven patients (11%) moved from the genetically FGC or IGC to the CAG because of high MRD at the end of consolidations. Median follow-up in survivors was 25 months. Overall 4-years survival (OS) of the whole series is 48±2%; event-free survival (EFS) is 77+3% in the CFG group, 45+6% in the CIG and 34+4% in the CAG (p

Description: Introduction: Mutations localized in the tyrosine kinase domain activation loop of FLT3 (FLT3-TKD), representing point mutations in codon D835/I836 and rarely deletions of codon I836, induce constitutive tyrosine phosphorylation and activation of the receptor tyrosine kinase similarly to FLT3 internal tandem duplication (ITD) mutations. However, the prognostic role of FLT3-TKD in AML, particularly in the presence of NPM1 mutations, is not well established. The phase 3 RATIFY trial [NCT00651261; Stone et al. N Engl J Med. 2017] showed that in combination with standard chemotherapy, midostaurin (PKC412) improved survival outcomes across all 3 FLT3 stratification subgroups (ITD high allelic ratio [≥ 0.7], ITD low allelic ratio [〈 0.7], and TKD) vs placebo in patients with newly diagnosed FLT3-mutated AML. Here, we evaluated the prognostic impact of FLT3-TKD and NPM1 mutations in a post hoc analysis from the RATIFY trial. Methods: In RATIFY, newly diagnosed patients with AML 18-60 years old were randomly assigned to receive midostaurin or placebo together with standard induction and consolidation therapy followed by 12 28-day cycles of maintenance therapy with midostaurin or placebo. FLT3-TKD mutation was detected by PCR and capillary electrophoresis at 9 reference laboratories. Patients were categorized as NPM1 mutated (mut) or NPM1 wild-type (WT) using PCR. Efficacy outcomes included complete remission (CR), overall survival (OS), event-free survival (EFS) and disease-free survival (DFS). EFS and DFS analyses were performed considering CR within a 60-day window. P values presented have not been adjusted for multiplicity. Results: Of the total randomized 162 FLT3-TKD patients, 134 with available NPM1 data had consented for exploratory analysis and thus were included in this study (see Table for subgroup distribution). Overall, 47.8% of patients were male, and the median age was 49 years (95% CI, 45.5-51.1 years). The median white blood cell (WBC) count was higher in patients with NPM1-mut than in patients with NPM1-WT (34.1 vs 15.5 × 109/L, P = .0011). CR rates (during the first 60 days) were higher in patients with FLT3-TKD/NPM1-mut vs FLT3-TKD/NPM1-WT (66% vs 53%); however, this was driven by the higher rate of CR in the midostaurin arm (76% NPM1-mut vs 44% NPM1-WT) rather than the placebo arm (53% NPM1-mut vs 60% NPM1-WT). The overall CR rate (regardless of NPM1 genotype) was 64% for midostaurin and 56% for placebo in FLT3-TKD patients. The prognostic effect of the NPM1 mutation concurrent with FLT3-TKD was seen for all endpoints consistently with hazard ratios (HRs) around 0.50 or lower (Figures 1 and 2 and Table). Overall (regardless of treatment) OS, EFS, and DFS estimates at 3 years were 73% vs 52%, 48% vs 25%, and 74% vs 47%, respectively, in patients with FLT3-TKD/NPM1-mut vs FLT3-TKD/NPM1-WT. Whereas the HRs for midostaurin vs placebo were 0.73 for both OS and EFS, the impact of treatment on outcomes varied between the individual NPM1/TKD subgroups and was not consistently observed when endpoints were censored at stem cell transplant (SCT) (Table). It should be noted that the number of patients in each subgroup was small and therefore the HRs with 95% CIs should be interpreted with caution. Multivariate analyses in these FLT3-TKD patients revealed that NPM1 genotype was an independent prognostic factor for OS, EFS and DFS (2-sided P 〈 .05), whereas study drug, age, sex, WBC at baseline and SCT (no/yes) did not reach this level of significance in the Cox model. Conclusions: This post hoc analysis of the FLT3-TKD patient subset in the RATIFY trial showed the high prognostic value of NPM1 mutational status. Whereas midostaurin showed an overall benefit in the FLT3-TKD patients for OS, EFS, CR and DFS, the impact of treatment on outcome varied between the individual NPM1 subgroups within these FLT3-TKD patients and was not consistently observed.Further analyses using additional endpoints and additional multivariate analyses are planned. Support: U10CA180821, U10CA180882, U10CA180820, U10CA180791, U10CA180888, U10CA180863, (CCSRI) #704970, U24CA196171; ClinicalTrials.gov Identifier: NCT00651261 Disclosures Voso: Celgene: Research Funding, Speakers Bureau. Larson:Ariad/Takeda: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BristolMyers Squibb: Consultancy, Research Funding. Heuser:Janssen: Consultancy; Pfizer: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; StemLine Therapeutics: Consultancy; Astellas: Research Funding; BergenBio: Research Funding; Karyopharm: Research Funding; Bayer Pharma AG: Consultancy, Research Funding; Tetralogic: Research Funding; Sunesis: Research Funding; Daiichi Sankyo: Research Funding. Wei:Novartis: Honoraria, Other: Advisory committee, Research Funding, Speakers Bureau; Pfizer: Honoraria, Other: Advisory committee; Amgen: Honoraria, Other: Advisory committee, Research Funding; Abbvie: Honoraria, Other: Advisory board, Research Funding, Speakers Bureau; Servier: Consultancy, Honoraria, Other: Advisory committee, Research Funding; Celgene: Honoraria, Other: Advisory committee, Research Funding. Brandwein:Lundbeck: Consultancy; Celgene: Consultancy; Pfizer: Consultancy; Novartis: Consultancy; Boehringer Ingelheim: Consultancy, Research Funding. de Witte:Novartis: Research Funding; Amgen: Consultancy, Research Funding; Celgene: Honoraria, Research Funding. Medeiros:Celgene: Consultancy, Research Funding; Genentech: Employment. Tallman:Cellerant: Research Funding; Orsenix: Other: Advisory board; BioSight: Other: Advisory board; ADC Therapeutics: Research Funding; AROG: Research Funding; AbbVie: Research Funding; Daiichi-Sankyo: Other: Advisory board. Schlenk:Pfizer: Research Funding, Speakers Bureau. Ganser:Novartis: Membership on an entity's Board of Directors or advisory committees. Cheng:Novartis: Employment. Gathmann:Novartis: Employment. Tiecke:Novartis: Employment. Thiede:AgenDix: Other: Ownership; Novartis: Honoraria, Research Funding. Döhner:AbbVie: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria; Celator: Consultancy, Honoraria; Sunesis: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria; AROG Pharmaceuticals: Research Funding; Sunesis: Consultancy, Honoraria, Research Funding; Astellas: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; AROG Pharmaceuticals: Research Funding; Celator: Consultancy, Honoraria; Astex Pharmaceuticals: Consultancy, Honoraria; Bristol Myers Squibb: Research Funding; Agios: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Astex Pharmaceuticals: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Jazz: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; Pfizer: Research Funding; Pfizer: Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Stone:Otsuka: Consultancy; Argenx: Other: Data and Safety Monitoring Board; Amgen: Consultancy; Agios: Consultancy, Research Funding; Orsenix: Consultancy; Ono: Consultancy; Novartis: Consultancy, Research Funding; Astellas: Consultancy; Arog: Consultancy, Research Funding; Merck: Consultancy; Cornerstone: Consultancy; Fujifilm: Consultancy; Jazz: Consultancy; Celgene: Consultancy, Other: Data and Safety Monitoring Board, Steering Committee; Pfizer: Consultancy; Sumitomo: Consultancy; AbbVie: Consultancy.

Description: Introduction: Polymorphisms in certain genes involved on chemo/radio therapy response, as genes involved on DNA synthesis and repair, oxidative stress and drug detoxification, could be related to increased risk of develop t-AML. Objectives: To identified SNPs on genes that could be involved on putative risk of developing t-AML. To analyse the influence of relevant polymorphisms between groups of patients depending of the intensity and the type of treatment received. Material and Methods: Twelve polymorphisms located on genes from drug detoxification pathways (NOQ1, GSTP1), DNA repair (XPC[3], XRCC1[2], NBS1, ERCC5 and XRCC3) and DNA synthesis (MTHFR[2]) were studied. The analysis was carried out by restriction fragment length polymorphisms (RFLP). The analysed groups were A) 29 patients with t- AML: 19 haematological malignancies (A1) and 10 breast cancers (A2); B) control group, composed by 38 patients treated of a primary cancer with chemo/radio therapy ± autologous stem cell transplantation (ASCT) which after a period of ten years have not developed a t-AML: 26 haematological malignancies (B1) and 12 breast cancers (B2); C) 50 healthy individuals. Results: Five SNPs were found to be relevant, as is shown in the table. The two SNPs on MTHFR gene (667C/T y 1298A/C) displayed remarkably different allele frequencies between the groups of breast cancer patients (with and without t-AML), while no significant differences were observed when those primary cancer were haematological. XRCC1 displayed a low frequency of A in t-AML patients with haematological cancer when are treated with ASCT, compared with those not ASCT treated. This difference is also relevant when all group of patients with hematological malignancies are analysed (A1+B1+ASCT vs no ASCT) (p=0.014). Differences on allele frequencies in SNPs of ERCC5 and NBS1 genes between t-AML and non t-AML patients we observed only when haematological neoplasia patients are ASCT treated. Relevant SNPs found in t-AML SNPs/Groups (n) A2 (10) B2 (12) p C (50) MTHFR 667 75 20 0,0006 45 MTHFR 1298 5 50 0,0011 35 A1+ASCT (10) A1-ASCT (9) p C (50) XRCC1E10 20 55 0,029 34 A1+ASCT (10) B1+ASCT (14) p C (50) ERCC5 E15 50 14 0,020 24 NBS1E5 45 17 0,084 45 Conclusions: The SNPs on MTHFR gene seem to be related on gene predisposition to t-AML only on breast cancer patients. In haematological malignancies, XRCC1 E10 genotype seems be related with survival in ASCT treated patients and risk of developing t-AML for those patients treated with lower intensity. The SNPs on ERCC5 and NBS1 genes seem to be involved on t-AML predisposition in ASCT treated patients. Thus, while XRCC1, NBS1 and ERCC5 SNPs are related with the development of t-AML on those patients with previous haematological malignancies (treated mainly with alkylating agents), MTHFR SNPs are related with t-AML on those patients with previous breast cancer (treated mainly with topoisomerase II inhibitors), suggesting that the relevance of each SNP depends on differences on type of chemotherapy, intensity and the metabolic route in which they are involved. Supported by FIS G03/008 project.

Description: BACKGROUND: The WHO and iwCLL diagnostic criteria for CLL rely on morphology and immunophenotype based on the co-expression of CD19/CD5/CD23 on B-cells with weak CD20 and monoclonal sIg expression. These diagnostic criteria are likely to persist in the near future because there is no specific diagnostic molecular abnormality for CLL. The current criteria have some limitations affecting reproducibility, particularly flexibility in marker expression with many centres using a scoring system that permits absence of CD5 or CD23. Potentially informative new markers have been identified but there is no consensus yet on which should be routinely assessed. AIM: To identify reproducible criteria and to achieve a consensus on markers recommended for the diagnosis of CLL METHODS: ERIC/ESCCA members were invited to classify 35 flow-cytometry markers as being required or recommended for the diagnosis of CLL. Consensus was considered to be achieved if 〉75% of participants agreed on the marker classification. A diagnostic panel was identified by the steering committee and characteristics of component markers that could be reproducibly validated within an individual laboratory were identified. The proposed panel was assessed in 13 different centres. RESULTS: Responses were received from 154 members (100 laboratory staff, 14 clinicians and 36 from both laboratory and clinic) with a diagnostic workload 〉20 cases per week in 23/154 (15%), 5-20 in 82/154 (53%) and

Description: Abstract 2524 WT1 monitoring is an almost universal target to follow de novo AML. Its exppression in myeloid malignancies is upregulated in parallel to the blast percentage. Recently, WT1 determination has been standardized as result of an European Leukemia Net initiative. Early reports have demonstrated that the best results are obtained when peripheral blood is used to establish clinical predictions. Pediatric studies in AML have shown that raised WT1 levels after induction associate with unfavourable outcome. Despite all the mentioned, WT1 quantitation has not yet gained widespread use, in part because some AML show normal WT1 levels at diagnosis. To investigate the prognostic impact of the normalized bone marrow WT1 levels at diagnosis and post-induction in a consecutive series of de novo AML patients enrolled in the CETLAM group trials. Available bone marrow samples at diagnosis (586 cases) and post induction (367 cases) were obtained in each participating center and sent to the CETLAM repository center at the Hospital de la Santa Creu i Sant Pau for complete immunophenotype and molecular analyses. One μg of RNA was reverse transcribed to cDNA in a total reaction volume of 20μl containing Cl2Mg 5mM, 10× Buffer, DTT 10mM, dNTP's 10mM each, random hexamers 15μM, RNAsin 20 units (Promega) and 200 units of MMLV enzyme. WT1 expression levels were determined by real-time quantitative polymerase chain reaction (RQ-PCR) in an ABI PRISM 7700® Genetic Analyzer (Applied Biosystems, Foster City, CA) using the primers and conditions described by the ELN group (Cilloni et al J. Clin. Oncol 2009;27:5195-201). For WT1 copy number titration, the IPSOGEN® (Marseille, France) plasmid was employed. Results were expressed as copies and four normal bone marrow samples were used as test controls. Patients were treated between 2004 and 2011 according to the CETLAM03 protocol. Adults up to 70 years of age received induction chemotherapy with idarubicin, intermediate-dose cytarabine and etoposide, followed by consolidation with mitoxantrone and intermediate-dose ara-C. Subsequently, patients with favourable cytogenetics at diagnosis received one cycle of high-dose cytarabine.G-CSF priming during induction and consolidation was used. Patients with favorable cytogenetics and high leukocyte counts at diagnosis were treated with autologous transplantation instead of high-dose cytarabine. Furthermore, patients with a normal karyotype but an adverse molecular profile (FLT3 mutations or MLL rearrangements) were allocated to the treatment for unfavorable cases; this included allogeneic transplantation from an HLA-identical donor. Overall survival (OS) was measured from the date of enrolment until the date of death. Leukemia-free survival (LFS) for patients who achieved a CR was calculated from the date of CR to relapse or death. OS and LFS were plotted by the Kaplan-Meier method; differences between curves were analyzed by the log-rank test. The probability of relapse was calculated using cumulative incidence estimates and taking into account the competing risk of death in remission. A WT1 cut-off value of 5065.2 copies at diagnosis was obtained. Two hundred and four samples had WT1 levels greater than this value, whereas 382 samples showed levels below this cut-off. These groups had statistically different OS 55±3 vs 33±5 p

Description: Introduction Younger patients with acute myeloid leukemia and intermediate cytogenetic risk (AML-IR) harboring NPM1 mutation (NPM1mut) without FLT3 internal tandem duplication (FLT3-ITD) have a relatively favorable prognosis, and are not deemed as candidates to receive an allogeneic hematopoietic stem cell transplantation in first complete remission (CR1). However, it remains uncertain if this favorable prognosis is also maintained in older patients within the same molecular features with some conflicting results. Patients and methods We analyzed the cohort of patients ≥60 year-old considered fit for intensive chemotherapy and included in the CETLAM protocols LMA-2003 and LMA-2012 for patients up to 70, consisting of a standard induction chemotherapy, HiDAC post-remission therapy, followed by alloHSCT in selected patients with high-risk features. Overall we identified 192 patients between 60 and 71 year-old diagnosed with AML-IR with known NPM1 and FLT3 mutational status. Results We identified 192 AML-IR patients (93♀, 99♂) aged 〉=60 (median age was 65 years old (range: 60-71)), with a median WBC count 10.6 x 109/L (range: 0.23-400 x 109/L), median bone marrow blasts 65% (range: 20-100%). Overall, CR rate was 78%, five-year overall survival (OS) was 30±4%, and leukemia-free survival (LFS) was 31±4%. Patients were classified in three molecular groups depending on NPM1mut and FLT3-ITD: 40 patients harbored NPM1mut/FLT3 without ITD (FAV group), 98 patients had NPM1wt/FLT3wt, and 54 had a FLT3-ITD. Five-year OS of these 3 groups were: 64±9%, 25±6%, and 19±6%, respectively (p60 who received intensive chemotherapy, with a high proportion of long-standing responses after HiDAC-based post-remission therapy. Disclosures No relevant conflicts of interest to declare.

Description: The Wilms tumor gene (WT1) was identified as a tumor suppressor gene coding for a zinc-finger transcription factor. It has been demonstrated that WT1 is overexpressed in acute leukemias and detection of increased levels of WT1 transcripts mainly in peripheral blood, has been associated with clonal growth and relapses. Most AML patients do not have a suitable molecular marker for minimal residual disease (MRD) monitoring. WT1 quantification seems to be an attractive strategy of universal leukemia follow-up. Bone marrow samples from 46 core binding factor (CBF) AML patients were tested for WT1 expression in parallel to AMLI/ETO and CBFb/MYH11quantification. Total RNA was purified using the Trizol reagent (Invitrogen). Chimeric detection was performed following the BIOMED recommendations. The WT-1 mRNA expression was measured by real-time quantitative polymerase chain reaction (RQ-PCR) in an ABI7700 genetic analyzer (Applied Biosystems, Foster City). For WT1 copy number titration the IPSOGEN plasmid was employed (Ipsogen, Marseilles). One hundred and fifty bone marrow (BM) samples from AML1-ETO patients (23 samples at diagnosis and 127 during follow-up) and 195 from CBFbeta-MYH11 cases (21 samples at diagnosis and 174 during follow-up) were included in the study. Bone marrow samples from 6 healthy donors were used to establish the highest acceptable value of WT1 copy number (80 copies). The WT1 expression was significantly increased (up to 3 orders) in bone marrow samples of AML patients at diagnosis compared to BM samples of healthy donors (P 〈 0.0001). Relapses were observed exclusively in the CBFbeta-MYH11 group and were always preceded by rising amounts of WT1 levels. A good concordance between WT1 levels (80 copies) and prognostically relevant chimeric trancript copy number (1 copy) was detected in 96.23% of the samples. Discrepancies between WT1 and specific fusion genes were observed in 11 AML1-ETO samples and in two CBFbeta-MYH11 cases. In ten follow up AML1-ETO samples with copy values of 1 or less a WT1 result exceeding the 80 threshold was detected. This discordant result was found in a single CBFbeta-MYH11 sample. Our findings suggest that WT1 is a reliable MRD marker in CBFbeta-MYH11 AML. It remains to be investigated the meaning of high titers of WT1 in AML1-ETO acute leukemias.

Description: Acute myeloid leukemia (AML) is a heterogeneous group of neoplastic disorders characterized by an abnormal proliferation of the myeloid precursors and a maturation block. A large proportion of AML cases have either a normal karyotype or non-recurrent chromosomal alterations. Underlying genetic lesions of some of these cases have been characterized with the discovery of MLL-internal tandem duplications, activating FLT3 mutations and NPM mutations. Loss of heterozygosity (LOH) derives from the loss of one of the two alleles at a given locus and can be a sign of inactivation of tumor-suppressor genes. We performed a high-resolution genotype analysis on DNA obtained from 19 AML patients with a normal karyotype, both at diagnosis and in samples obtained in complete remission(assessed by multiparametric flow cytometry) using the 10K SNP Array (Affymetrix). Both LOH and copy number analysis, as well as visualization of these analysis were performed by means of the dChip software (M. Lin et al., Bioinformatics (2004), 20:1233–40). A mean call rate of 96.8%. SNP array-based LOH analysis revealed that 4 patients presented large regions of homozygosity at diagnosis which were absent from samples in complete remission. In all four patients copy number analysis indicated no gross chromosomal losses or gains, as was confirmed by conventional cytogenetic analysis. Therefore, it can concluded that the LOH observed in these four patients was due to the presence of uniparental disomy. Simultaneous analysis of FLT-3 internal tandem duplications (FLT-3/ITD), FLT3- D835 mutations, NPM mutations and MLL rearrangements was performed using conventional molecular methods. Two of these patients (UPN2 and UPN12) had FLT-3/ITD in association with NPM mutations. UPN4 had a mutated form of NPM whereas in patient UPN16 FLT-3 and NPM genes were in the germ line configuration. All four cases were negative for MLL rearrangements and FLT-3-D835 mutations. These results suggest that NPM and FLT3 mutations may be associated with acquired somatic recombinations. It remains to be investigated whether there are loci preferentially involved by these events. Uniparental disomy and genetic lesions in normal karyotype AML Patient LOH FLT3 NPM D835 MLL UPN2 13q Mutated Mutated Germ line Germ line UPN4 6pter-p12.212q13.12-qter Germ line Mutated Germ line Germ line UPN12 2p Mutated Mutated Germ line Germ line UPN16 complex Germ line Germ line Germ line Germ line