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  • American Society of Hematology  (96)
  • 1
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 1243-1243
    Abstract: Background: Hereditary spherocytosis (HS) is the most common cause of hereditary hemolytic anemia. Current tests used to diagnose HS focus on the detection of hemolysis or indirectly assess protein defects. Direct methods to detect protein defects are complicated and difficult to implement. Recent next-generation sequencing (NGS) methods enable large-scale gene mutation analyses to be used for such diagnoses. In this study, we investigated the patterns of genetic variation associated with HS among the patients diagnosed with HS clinically. Specifically, we analyzed mutations in red blood cell membrane protein-encoding genes (17 genes) in context with 5 genes for the differential diagnosis (thalassemia, congenital dyserythropoietic anemia, paroxysmal nocturnal hemoglobinuria) in Korean HS. Methods: In total, 60 patients diagnosed with HS were enrolled in this study. Targeted sequencing of 43 genes (17 membrane protein-encoding genes, 20 enzyme-encoding genes, and 6 additional candidate genes) was performed using the Illumina HiSeq platform and variants were called according to a data-processing pipeline. Results: Of the 60 patients, 50 (83%) had one or more significant variants in a membrane protein encoding genes. A total of 54 significant variants (8 previously reported and 46 novel) were detected in 6 membrane protein-encoding genes; SPTB, ANK1, SPTA1, SLC4A1, EPB41, and EPB42. The most variants (28/60 patients) were detected in SPTB. Interestingly, concurrent mutations of genes encoding enzymes (ALDOB, GAPDH, and GSR) were detected along with mutations of membrane encoding genes. One patient diagnosed with HS harbored mutation of G6PD without mutation of HS related genes. Additionally, UGT1A1 mutations were present in 5 patients. Positive rate of osmotic fragility test was 86% among patients with HS related gene mutations. Conclusion: These results clarify the molecular genetic analysis is required for the accurate diagnosis of HS. About 17% of patients who were clinically diagnosed as HS revealed discrepancy with molecular diagnosis. Figure Figure. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
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  • 2
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 10480-10480
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2022
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  • 3
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 4264-4264
    Abstract: Some of the recurrently occurring somatic mutations are known to be diagnostic or prognostic in myelodysplastic syndrome (MDS). Targeted gene capture and next-generation sequencing (NGS) has rapidly become routine clinical tools to detect the somatic mutations in patients with MDS. Copy number variants (CNVs) may have additional clinical significance in MDS. Chromosomal microarray analysis is a standard technique for genome-wide CNV detection, but multiple testing strategies require high costs and time. Recent advancements in NGS technologies have developed more cost-effective and rapid methods to allow simultaneous identification of targeted CNVs as well as somatic mutations using the same panel-based NGS data. In this study, we investigated whether the detection of CNVs using the targeted NGS data provided an additional value other than the clinical implications of somatic mutations. We performed targeted deep sequencing analysis on bone marrow samples obtained from 266 patients with MDS using an MDS panel targeting 28 well-known MDS-related genes (NRAS, DNMT3A, SF3B1, IDH1, TET2, NPM1, LAMB4, EZH2, JAK2, CBL, ETV6, KRAS, FLT3, IDH2, PRPF8, TP53, NF1, SRSF2, SETBP1, DNMT1, ASXL1, RUNX1, U2AF1, ZRSR2, ATRX, STAG2, MMP8, and ARID2). Sequencing libraries were generated using the AmpliSeq Library Kit 2.0 (Life Technologies, Carlsbad, CA) and the MDS panel was then sequenced using the Ion Torrent Proton system (Life Technologies) according to the manufacturer's instructions. The multiscale reference module and Rank Segmentation statistical algorithm in NEXUS software v9.0 (Biodiscovery) were used to define the CNVs for each sample. Overall survival (OS) and acute myeloid leukemia (AML)-free survival (AFS) were estimated from the date of MDS diagnosis to death or AML progression using the Kaplan-Meier method, and the differences in survival were compared using the log-rank test (for univariate analysis) and the Cox proportional hazards model (for multivariate analysis). Overall, 215 patients (80.8%) carried at least one somatic mutations, and 67 (25.2%) had one or more CNVs. The number of mutated genes per patient ranged from 0 to 6, and the number of genes with CNVs per patient ranged from 0 to 10. Of 51 patients who did not have somatic mutations, 12 (23.5%) had the targeted CNVs. The mutated genes in more than 10% of patients were 8: U2AF1 (21.8%), TET2 (17.7%), ASXL1 (13.5%), TP53 (13.2%), SETBP1 (12.8%), NF1 (10.9%), SF3B1 (10.5%), and RUNX1 (10.5%). The genes with CNVs detected in 10 or more patients were 5: EZH2 (loss in 7q, 6.8%), KRAS (gain and loss in 12p, 5.3%), ASXL1 (gain and loss in 20q, 4.5%), LAMB4 (loss in 7q, 3.8%), and RUNX1 (gain and loss in 21q, 3.8%). Interestingly, all five patients with TP53 deletion exhibited TP53 mutation as well, suggesting a bi-allelic alteration (mutation + copy loss). The higher number of genes with CNVs per patient were significantly associated with inferior OS (P 〈 0.001) and AFS (P=0.007) (Figure). Considering clinical variables and somatic mutations only, multivariate analysis demonstrated that sex, IPSS-R, NRAS mutation, and TP53 mutation were independent prognostic factors for OS, and sex, IPSS-R, NRAS mutation, DNMT3A mutation, and complex karyotype/TP53 mutation were independent prognostic factors for AFS. When we consider clinical variables and both somatic mutations and CNVs, genetic alterations in TET2, LAMB4, U2AF1, and CBL showed additional significant impact on OS or AFS (Table). Our study suggests that simultaneous detection of targeted CNVs as well as somatic mutations using the same panel-based NGS data add clinically useful information on the prognosis of MDS patients. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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  • 4
    In: Blood, American Society of Hematology, Vol. 136, No. Supplement 1 ( 2020-11-5), p. 38-39
    Abstract: Introduction Targeted RNA sequencing (RNA-seq) is a highly accurate method for sequencing transcripts of interest and can overcome limitations regarding resolution, throughput, and multistep workflow. However, RNA-seq has not been widely performed in clinical molecular laboratories due to the complexity of data processing and interpretation. We developed a customized targeted RNA-seq panel with a data processing protocol and validated its analytical performance for gene fusion detection using a subset of samples with different hematologic malignancies. Additionally, we investigated its applicability for identifying transcript variants and expression analysis using the targeted panel. Methods The target panel and customized oligonucleotide probes were designed to capture 84 genes associated with hematologic malignancies. Libraries were prepared from 800 to 1,500 ng of total RNA using GeneMediKit NGS-Leukemia-RNA kit (GeneMedica, Gwangju, Korea) and sequenced using Miseq reagent kit v3 (300 cycles) and MiseqDx (Illumina, San Diego, CA, USA). The diagnostic samples included one reference DNA (NA12878), one reference RNA (Cat no. 740000, Agilent Technologies), 14 normal peripheral blood (PB) samples, four validation bone marrow (BM) samples with known gene fusions, and 30 clinical BM or PB samples from seven categories of hematologic malignancies. The clinical samples included 27 BM aspirates and three PB samples composed of six acute myeloid leukemia, nine B-lymphoblastic leukemia/lymphoma, four T-lymphoblastic leukemia/lymphoma, three mature B-cell neoplasms, six MPN, one myelodysplastic/myeloproliferative neoplasm, and one myeloid/lymphoid neoplasm with eosinophilia and gene rearrangement. For the analytical validation of fusion detection, target gene coverage, between-run and within-run repeatability, and dilution tests (1:2 to 1:8 dilution) were performed. For the comparative analysis of fusion detection, the RNA-seq data were analyzed by STAR-Fusion and FusionCatcher and processed with stepwise filtering and prioritization strategy (Figure 1), and the result was compared to those of multiplex RT-PCR (HemaVision kit; DNA Technology, Aarhus, Denmark) or FISH (MetaSystems Gmbh, Althusseim, Germany) using 30 clinical samples. The RNA-seq data from clinical samples were additionally analyzed by FreeBayes for variant detection and by StringTie for expression profiling (Figure 1). Results First, the analytical validation showed reliable results in target gene coverage, between-run and within-run repeatability, and linearity tests. The uniformity of coverage (% of base pairs higher than 0.2 × total average depth) was calculated to be 99.8%, which revealed even coverage for the target genes in the panel using the reference DNA. Both in the within-run and between-run tests, the read counts and FFPM (fusion fragments per million) of all replicates showed reliable repeatability (r2 = 0.9655 and 0.9874, respectively). The FFPM of the diluted analytical samples including BCR-ABL1 and PML-RARA showed linear log2-fold-changes (r2 = 0.9852 and 0.9447, respectively). Second, compared to multiplex RT-PCR and FISH using 30 clinical samples, targeted RNA-seq combined with filtering and prioritization strategies detected all 13 known fusions and newly detected 17 fusions. Finally, 16 disease- and drug resistance-associated variants on the expressed transcripts of ABL1, GATA2, IKZF1, JAK2, RUNX1, and WT1 were simultaneously designated and expression analysis showed distinct four clusters of clinical samples according to the cancer subtypes and lineages. Conclusions Our customized targeted RNA-seq system provided a stable analytical performance and a more sensitive identification of gene fusions than conventional molecular methods in various clinical samples. In addition, clinically significant variants in the transcripts and expression profiling could be simultaneously identified directly from the RNA-seq data without the need for additional parallel testing. Our study identified the advantages of the clinical laboratory-oriented targeted RNA-seq system to enhance the diagnostic yield for gene fusion detection and to simplify the diagnostic steps as providing a comprehensive tool for analyzing hematologic malignancies in the clinical laboratory. Figure 1 Disclosures Lee: National Research Foundation of Korea: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2020
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  • 5
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 5253-5253
    Abstract: Background and Objectives Acute Myeloid Leukemia (AML) is a cytogenetically and molecularly heterogeneous disease. In the recent decades, many genetic mutations and their clinical significances in AML have been identified with the development of new genomics technology. Based on these advances, new 2 entities were added to the WHO 2008 classification : AML with mutated NPM1 and AML with mutated CEBPA. Likewise, AML with RUNX1 mutation are now considered as a new provisional entity in the next update of WHO classification. In this work, we characterized patients with cytogenetically normal AML according to RUNX1 mutational status and analyzed several co-mutations by next generation sequencing. Patients and Methods A total of 419 patients were included in the present study who met the following eligibility criteria: 1) age ≥ 15 years; 2) a diagnosis of AML with normal karyotype confirmed by conventional cytogenetic analysis. Analysis of genetic mutations were performed using targeted resequencing by Illumina Hiseq 2000 (Sureselect custom probe set targeting 94 myeloid gene panel including RUNX1 mutation). Samples for the confirmation of first complete response were also analyzed in 163 patients. The majority of patients (97%) received '3+7' standard induction chemotherapy. Median age was 53(range 15-84). Results Overall, most common mutations for this cohort were NPM1(33.9%), DNMT3A(30.3%), NRAS(20.2%), IDH2(15.0%), FLT3(12.2%), CEBPA(11.1%). RUNX1 mutations were found in 22 of 419 (5.4%) patients. 7 of 13 available samples in complete remission still had RUNX1 mutation. The patients with RUNX1 mutations were older than those with wild-type RUNX1. (p=0.006) and RUNX1 mutation had a trend of male preponderance. The WBC count and blast percentage of peripheral blood and bone marrow were not different according to RUNX1 mutational status. The complete response rate was significantly lower in RUNX1 mutated group compared with wild-type group. (57% vs. 84%, p=0.005) In univariable survival analysis, RUNX1 mutations were significantly associated with inferior event-free survival (EFS) (p 〈 0.001), relapse-free survival (RFS) (p=0.009) and overall survival (OS) (p=0.002). However, in multivariable analysis, RUNX1 mutation was not an independent prognostic factor for inferior EFS (hazard ratio(HR) 1.48, p=0.286), RFS (HR 2.15, p=0.057) OS (HR 1.14, p=0.716). Co-mutation analysis revealed that ASXL1 (26%,p=0.001), KRAS (26%, p=0.009), BCOR (16%, p=0.032) were correlated with RUNX1 mutation. None of the patients with RUNX1 mutation had NPM1 mutation and only one patient had CEBPA mutation. Conclusion In cytogenetically normal AML, RUNX1 mutation is observed in 5.4% and is mutually exclusive of the NPM1 and CEBPA mutation. Older age and lower complete response rate is correlated with RUNX1 mutation. In univariable survival analysis, RUNX1 mutation is associated with poor clinical outcomes. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
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  • 6
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 2072-2072
    Abstract: Abstract 2072 Poster Board II-49 Backgrounds Currently, there are many efforts to design risk-adapted strategies in newly diagnosed acute promyelocytic leukemia (APL) by modulating treatment intensity and those seem to be an efficient approach to minimize treatment-related morbidity and mortality (TRM) while maintain the potential in cure for each relapse-risk group. We had postulated that maintaining of Ara-C during induction therapy might have acceptable toxicities yet obtaining good CR in newly diagnosed APL, and idarubicin alone during consolidation periods might have excellent LFS and OS with low relapse rate. Patients and Methods Eighty six patients with newly diagnosed APL were enrolled in the “multicenter AML-2000 trial” after informed consents were obtained during the period of January 2000 to July 2007. For remission induction therapy, patients received oral ATRA (45mg/m2/d, maintained until CR) combined with idarubicin (12mg/m2/d, D1-D3) plus Ara-C (100mg/m2/d, D1-D7). After CR achievement, patients received 3 monthly consolidation courses consisting of idarubicin (12mg/m2/d, D1-D3) alone and maintenance therapy with ATRA (45mg/m2/d, D1-D15, every 2 month) alone had continued for 2 years. Total patients were divided into low-risk, intermediate-risk and high-risk groups according to a predictive model for relapse risk (Sanz score) based on pretreatment WBC and platelet count and the treatment outcomes were compared in the different risk groups. Results The median age of our cohort was 40 years old (range; 6-80) and median follow-up was 27 months (range; 1-90). The distribution of patients in the 3 risk groups was as follows ; 28 (32.6%) patients in low-risk, 40 (46.5%) in intermediate-risk and 18 (20.9%) in high-risk. Overall, CR was achieved in 78 (90.7%) of 86 patients. The CR rate according risk groups was 96.4% in low-risk, 87.5% in intermediate-risk, and 88.9% in high-risk group and there was no significant statistical difference among the different risk groups. During induction therapy, 48 (55.8%) patients experienced grade 3-4 treatment-related toxicity (TRT), mostly fever and infection (38.8% of all patients) and 6 (7.0%) patients died of treatment-related complications. During 3 consolidation courses, 25 (29.1%) of 78 patients experienced grade 3-4 TRT in 1st course, 27 (36.0%) of 75 patients in 2nd course, and 14 (28.0%) of 50 patients in 3rd course. Overall, 3 (3.5%) patients died of treatment-related complications in CR. The incidence of TRT and treatment-related mortality (TRM) during induction or consolidation therapy showed no significant statistical difference among the different risk groups. The relapse occurred in 6 (7.0%) patients; 2 cases in intermediate-risk and 4 cases in high-risk. However, none had relapsed in low risk group, 5 patients of relapsed patients relapsed during consolidation courses and only one patient, however, relapsed during maintenance therapy. The overall survival (OS) and leukemia-free survival (LFS) rate at 7 years in all of patients was 76.7% and 83.5%, respectively. The OS rate at 7 years was 92.9% in low-risk, 78.6% in intermediate-risk and 53.6% in high-risk group (P:0.04) and the LFS rate at 7 years was 96.4%, 83.4% and 62.2% respectively, showing the significant difference between 3 different risk groups (P:0.046). Conclusions This study indicates that our protocol composed of induction therapy with “3+7” chemotherapy plus ATRA followed by consolidations with three courses of idarubicin alone and maintenance therapy with ATRA alone yields a high CR rate and low relapse rate but minimal acceptable toxicities. Despite of adding Ara-C during induction therapy, we did not find much significant toxicities but having good CR rates, and despite of not adding any additional low/intermediate dose chemotherapies(ie, 6MP), we were able to observe significantly high relapse rate in low and intermediate risk group with excellent LFS and OS. Meanwhile, in high-risk group, the relapse rate was significantly higher than other risk groups and most of the relapses occurred in the middle of consolidation courses. This data suggests that our consolidation therapy composed of anthracycline alone may be not enough to minimize risk of relapse in high-risk group in contrast with the low and intermediate-risk groups. More intensive consolidation therapy combined with other effective, but get tolerable chemotherapies or hematopoietic stem cell transplantation in first CR or the combination of arsenic trioxide or others in front-line therapy should be considered in the patients with high-risk of relapse. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 7
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 2765-2765
    Abstract: Abstract 2765 In CML, achievement of major molecular response (MMR) is a significant prognostic factor as it has been shown to be associated with longer duration of complete cytogenetic response (CCyR) and long-term progression-free survival. In IRIS study, patients who achieved both CCyR and MMR showed higher progression-free survival rates, compared to those who had CCyR without MMR. Higher doses of imatinib are expected to yield higher CCyR and MMR rates, compared to standard dose of imatinib, and second-generation tyrosine kinase inhibitor, nilotinib also produces high CCyR and MMR rates in patients with CP CML who are resistant to imatinib. In this prospective study, the efficacy of nilotinib and high-dose imatinib was investigated in suboptimal molecular responders who received standard-dose imatinib as first-line therapy. Early CP CML patients who have achieved CCyR but no MMR after at least 18 months and up to 24 months (≥ 18 to ≤ 24 months) on first-line imatinib therapy at a daily dose of 400 mg were enrolled in this clinical trial, and informed consents were obtained from all patients prior to participation. In nilotinib arm, patients received oral dose of 400 mg BID (800 mg/day), and patients received 800 mg/day administrated as 400 mg BID in imatinib dose-escalation arm. To assess the drug efficacy, cytogenetics and RQ-PCR analysis were performed at regular intervals, and baseline mutational analysis was conducted for every patient with subsequent mutational analyses performed in patients demonstrating either lack of response or disease progression. Primary endpoint is to evaluate the cumulative MMR rates by 12 months, and secondary endpoints are to evaluate the cumulative CMR rates and time to and duration of MMR and CMR during further 24 month follow-up. Progression-free survival and safety profiles will also be assessed as secondary endpoints. Patients showing lack of response (lack of complete hematologic response (CHR) at 6 months, increasing WBC, no major cytogenetic response (MCyR) at 24 months), loss of response (loss of CHR or MCyR) or severe intolerance to treatment were allowed to crossover to the alternative treatment arm. With a data cut-off date of 18 Jul 2011, a total of 30 patients were randomized into nilotinib arm (n =13) or imatinib arm (n = 17), and 6 patients have crossed-over to nilotinib arm due to lack of response. With a median follow-up of 11 months (range, 0.2–28 mos), all patients have maintained CCyR without progression to advanced disease, and progressive decrease in BCR-ABL transcript levels was observed in all patients. Cumulative MMR rates at 20 months were significantly higher in nilotinib arm compared to imatinib dose-escalation arm (59.00% vs. 27.40%, P = 0.047), and patients treated with nilotinib also showed faster molecular response rates, with 5 patients achieving MMR within 3 months of nilotinib therapy. At the last follow-up, 7/13 (53.85%) and 2/11 (18.18%) patients achieved MMR in nilotinib arm and in high-dose imatinib arm, respectively, with 1 patient in nilotinib arm achieving 4-log reduction of BCR-ABL transcripts. Although toxicity was observed more frequently in imatinib dose-escalation arm, all patients currently maintain the initial dose (except 1 patient who interrupted imatinib therapy due to neurosurgical operation), and based on the toxicity data, no additional or serious adverse events were developed except for pre-existing toxicities before randomization. These preliminary results demonstrate that early intervention using nilotinib or dose escalation of imatinib could be recommended in suboptimal molecular responders, with nilotinib being more preferable. Through further clinical investigation on a large patient population and longer period of observation, efficacy and safety of early intervention of suboptimal molecular response using nilotinib or dose escalation of imatinib will be assessed. Updated data with longer follow-up duration will be presented in the meeting. Disclosures: Woodman: Novartis: Employment, Equity Ownership. Szczudlo:Novartis: Employment, Equity Ownership. Kim:Novartis: Employment.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 8
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 3832-3832
    Abstract: Background: Stem cells display remarkably high levels of 5-hydroxymethylcytosine (5hmC) and, both TET2 or IDH1/2 mutations can impair 5hmC generation. However, the implications of 5hmC have not been evaluated comprehensively in patients with normal karyotype (NK)-AML, especially in aspect of prognostic value in survivals. Methods: A total of 407 patients were included in the present study, and all met the following eligibility criteria: 1) age ≥ 15 years; 2) a diagnosis of NK-AML confirmed by conventional cytogenetic analysis; and, 3) treatment with induction chemotherapy using a standard protocol (a 3-day course of anthracycline with a 7-day course of cytosine arabinoside). NK-AML patients were diagnosed from October 1998 to September 2012 in seven participating institutes. Among 407 patients with NK-AML who received induction therapy, we selected the 376 patients available the analysis of 5-hmC, retrospectively. For quantitation of 5hmC, Quest 5-hmC DNA ELISA kits (Zymo Research) were used following the manufacturer's protocol. TET2 or IDH1/2 mutation analysis were performed using direct sequencing. We analyzed for 5hmC levels in patients with TET2 or IDH1/2 mutations and, to know the correlation of 5hmC levels with mutant alleles. Results: The prevalence rates for the mutations were 13.0% in TET2mut, 7.2% in IDH1 and,14.1% in IDH2mut. Mutation rates of TET2 or IDH1/2 was 34.6% (130/376). We examined whether the range of 5hmC values correlated with each mutations. TET2, IDH1/2 mutated patients had significant lower levels of 5hmC compared with patients without any TET2 or IDH1/2 mutations (all, p 〈 0.001). The median value of 5hmC level were: TET2mut (median: 0.051%, range: 0.002%-0.120%), IDH1mut (median: 0.044%, range: 0.004%-0.641%), IDH2mut (median: 0.050%, range: 0.001%-0.457%), any mutation of TET2 or IDH1/2 (median: 0.048% , range: 0.001%-0.641%) and, TET2 wild-type and IDH1/2 wild type (median: 0.084%, range: 0.0003%-0.999%). In control group (TET2 wild-type and IDH1/2 wild type), 5hmC levels distributed with broad range but, 5hmC levels were tightly clustered in patients with TET2, IDH1 or IDH2 mutations. With a median follow-up duration of 55.5 months (range, 0.7-179.8 months), there was no significant difference in overall survival (OS), event free survival (EFS) and relapse risk according to TET2mut or IDH1/2mut (all, p 〉 0.05). To identify the role of 5hmC levels in clinical significances, we sub-classified this group with tertile category for 5hmC values. However, we could not find the clinical significant in OS, EFS and relapse risk according to the 5hmC levels (all, p 〉 0.05). Conclusion: TET2 or IDH1/2 mutated patients had lower levels of 5hmC. 5hmC levels distributed with wide range in patients with TET2 and IDH1/2 wild type and tightly clustered in patients with TET2, IDH1 or IDH2 mutations. Apart from affecting the methylation status of the DNA, other processes may be influenced by 5hmC levels in patients with NK-AML with TET2 wild-type and IDH1/2 wild type. In addition, 5hmC may not be a prognostic value to predict the survivals of relapse risk in NK-AML. Disclosures Jang: Alexion Pharmaceuticals: Research Funding. Kim:Novartis Pharmaceuticals: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2015
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  • 9
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 2876-2876
    Abstract: Introduction Acute myeloid leukemia (AML) is a genetically heterogeneous disease. A recent study (NEJM, 2016) classified 1540 patients into 14 subgroups using mutation information from targeted next generation sequencing data as well as cytogenetic information [1]. The classification criteria of 7 of these subgroups rely solely on mutation information. NK-AML is characterized by its lack of cytogenetic abnormalities. In this study, we attempted to replicate the prognostic stratification in an independent set of NK-AML patients using the NEJM study's genomic classification criteria. Patients and Methods This study included a total of 393 patients who met the following eligibility criteria: 1) age ≥ 15 years; 2) a diagnosis of NK-AML confirmed by conventional cytogenetic analysis; 3) treatment with induction chemotherapy using a standard protocol (a 3-day course of anthracycline with a 7-day course of cytosine arabinoside). The median follow-up duration was 55.1 months (range, 0.7-182.9). Analysis of genetic mutations were performed using targeted sequencing by Illumina Hiseq 2000 (Agilent custom probe set targeting entire exon regions of a myeloid panel consisting of 94 genes). Results We identified driver mutations across 28 genes or genomic regions, with 2 or more driver mutations identified in 15/393 patients (3.8%). Based on the genomic classification criteria, the patients were classified as follows: 136 patients (34.6%) with NPM1 mutations, 42 patients (10.7%) with mutated chromatin modifiers and/or RNA-splicing genes, 6 patients (1.5%) with TP53 mutations, 40 patients (10.2%) with biallelic CEBPA mutations, 8 patients (2.0%) with IDH2-R172 mutations and no other class-defining lesions, 108 patients (27.5%) with driver mutations but no detected class-defining lesions, 38 patients (9.7%) with no detected driver mutations, and 15 patients (3.8%) who met the criteria of more than one genomic subgroup. Of the 393 patients, 325 patients (82.7%) achieved complete remission (CR). CR rates vary depending on the genomic subgroup (75.9%-97.4%). The CR rate for each subgroup was as follows: 86.8% (118/136) of patients with NPM1 mutations61.9% (26/42) of patients with mutated chromatin and/or RNA-splicing genes83.3% (5/6) of patients with TP53 mutations97.5% (38/40) of patients with biallelic CEBPA mutations87.5% (7/8) of patients with IDH2-R172 mutations and no other class-defining lesions75.9% (82/108) of patients with driver mutations but no detected class-defining lesions97.3% (37/38) of patients with no detected driver mutations80.0% (12/15) of patients meeting criteria of more than one subgroup 5-year OS and 5-year relapse incidence (RI) for each subgroup was as follows: 49.3% (95% CI, 40.1-58.5) and 39.8% (95% CI, 30.1-49.2) of patients with NPM1 mutations11.6% (95% CI, 1.4-21.8) and 71.4% (95% CI, 45.7-86.5) of patients with mutated chromatin and/or RNA-splicing genes50.0% (95% CI, 10.0-90.0) and 20.0% (95% CI, 0.4-61.2) of patients with TP53 mutations68.3% (95% CI, 53.4-83.2) and 19.7% (95% CI, 8.5-34.4) of patients with biallelic CEBPA mutations56.3% (95% CI, 17.3-95.3) and 21.4% (95% CI, 0.3-67.3) of patients with IDH2-R172 mutations and no other class-defining lesions26.6% (95% CI, 17.4-35.8) and 53.2% (95% CI, 40.7-64.3) of patients with driver mutations but no detected class-defining lesions29.1% (95% CI, 14.2-44.0) and 43.8% (95% CI, 27.1-59.3) of patients with no detected driver mutations40.0% (95% CI, 15.3-64.7) and 33.3% (95% CI, 9.2-60.3) of patients that meet the criteria of more than one subgroup. The CR rates of the subgroup with mutated chromatin and/or RNA-splicing genes was significantly lower than the rest of the cohort (61.9% vs. 85.2%, p=0.00016). The 5-year OS and 5-year RI of the subgroup were also poorer than the others [61.9% vs. 85.2% in OS (p=0.00016), 71.4% vs. 40.1% in RI (p 〈 0.0001)]. Conclusion Our NK-AML cohort showed similar survival patterns to the cohort in Papaemmanuil et al (NEJM 2016). The subgroup in AML with mutated chromatin and/or RNA-Splicing genes had the poorest prognosis with respect to CR rate and overall survival. This analysis replicates the result of recently published genomic classification and supports its use for categorizing NK-AML patients. Reference [1] Genomic Classification and Prognosis in Acute Myeloid Leukemia. Papaemmanuil E et al. N Engl J Med, 2016 vol. 374 (23) pp. 2209-2221. Figure Figure. Disclosures Jang: Kyowa Hakko Kirin Co., Ltd.: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
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    detail.hit.zdb_id: 80069-7
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  • 10
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 52-52
    Abstract: Introduction: Myelodysplastic syndromes (MDS) are clonal hematopoietic disorders characterized by dysplastic changes in one or more cellular lineages causing impaired bone marrow function. One third of patients diagnosed with MDS progress to secondary acute myeloid leukemia (sAML). These patients have significantly worse prognoses than de novo AML patients. Azacitidine (AZA), a hypomethylating agent is commonly used to treat MDS patients as a frontline therapy. Although its survival benefits over supportive care in a randomized trial has been demonstrated, the underlying genetics and clonal dynamics upon AZA response/AML progression have not been well examined. Using next generation sequencing (NGS) technology, we attempted to assess the clinical relevance of somatic mutations and their dynamics as they relate to AZA treatment in MDS patients using longitudinal samples. Patients and Methods: Ninety-five MDS patients (56 lower risk and 39 higher risk MDS based on the revised IPSS scoring system) were enrolled in this study. The median age of the 95 patients is 67 years (range of 31 Ð 84) and median follow-up duration was 747 days (range of 137-3328 days). We performed targeted deep sequencing (entire exon region of a panel of 84 myeloid genes, Agilent custom probe set) on 285 bone-marrow samples including the longitudinal samples taken at diagnosis (n=95) and post-AZA treatment, (median 4 cycles) as well as T-cell fraction (CD3+). We multiplexed and sequenced the samples using an Illumina Hiseq 2000. After read mapping and variant calling, hierarchical clustering, pathway and survival analyses were performed in R. Results: Targeted sequencing on the myeloid gene panel revealed 176 mutations in 68 patients (68/95, 71.6%) with a median of 2 mutations per patient (ranges 2-6). The average on-target coverage for 285 sequenced samples was 1205x. Twenty-five of 44 mutated genes were recurrently mutated. ASXL1 was the most frequently mutated in the cohort (21%), followed by TET2 (15%), DNMT3A (11%), and SRSF2 (11%). Mutated genes were then grouped into 8 biological pathways, defined in The Cancer Genome Atlas (TCGA) AML study. The most frequent biological pathway with mutated genes at diagnosis was DNA methylation (28.4%), followed by spliceosome (25.2%), chromatin modifiers (22.1%), myeloid transcription factors (TFs) (11.6%), activated signaling (11.6%), tumor suppressors (12.6%), and cohesin complex (6.3%). When assessing the differences in patterns of variant allele frequency (VAF), we found significant VAF reduction in responders compared to non-responders (p = 0.007, repeated measures using general linear model, Figure A). Multivariate analyses revealed that mutation burden in different genes and biological pathways have distinct impact on AZA response, AML transformation, and overall survival. Higher bone marrow blast percentage (5%) was associated with all three measures (Figure B). Most significantly, mutations in activated signaling pathway genes are associated with AML progression (p=0.002). In addition, we could not detect decreased VAFs in activated signalling pathway genes even in responders (Figure C-D). Patients with SRSF2 mutations tend to respond to AZA (OR 14.084, p=0.003). Mutations in tumor suppressors (HR 4.825, p 〈 0.001) and myeloid TFs (HR 3.070, p=0.020) were adverse prognostic factors in overall survival. Of interest, mutations in DNA methylation pathway were not independent prognostic factor for AZA response, AML transformation, or overall survival. Conclusion: These data and analyses show that reduction in mutation burden is correlated with AZA response. Mutations in different genes and biological pathways are associated with distinct clinical measures that tumor suppressors and myeloid TFs were identified as poor prognostic factors in terms of OS. Persistent mutation burden in activated signaling pathways is a strong predictor for AML transformation. In summary, longitudinal tracking of MDS patients using NGS may improve criteria for AZA response and early detection of AML progression. Figure 1. Figure 1. Disclosures Jang: Alexion Pharmaceuticals, Inc: Consultancy, Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
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    detail.hit.zdb_id: 80069-7
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