Mutational profiling of myeloid neoplasms associated genes may aid the diagnosis of acute myeloid leukemia with myelodysplasia-related changes

2021 ◽  
Vol 110 ◽  
pp. 106701
Author(s):  
James Yu ◽  
Yuan Du ◽  
Anum Jalil ◽  
Zohaib Ahmed ◽  
Shahram Mori ◽  
...  
2017 ◽  
Vol 35 (9) ◽  
pp. 934-946 ◽  
Author(s):  
Lars Bullinger ◽  
Konstanze Döhner ◽  
Hartmut Döhner

In recent years, our understanding of the molecular pathogenesis of myeloid neoplasms, including acute myeloid leukemia (AML), has been greatly advanced by genomics discovery studies that use novel high-throughput sequencing techniques. AML, similar to most other cancers, is characterized by multiple somatically acquired mutations that affect genes of different functional categories, a complex clonal architecture, and disease evolution over time. Patterns of mutations seem to follow specific and temporally ordered trajectories. Mutations in genes encoding epigenetic modifiers, such as DNMT3A, ASXL1, TET2, IDH1, and IDH2, are commonly acquired early and are present in the founding clone. The same genes are frequently found to be mutated in elderly individuals along with clonal expansion of hematopoiesis that confers an increased risk for the development of hematologic cancers. Furthermore, such mutations may persist after therapy, lead to clonal expansion during hematologic remission, and eventually lead to relapsed disease. In contrast, mutations involving NPM1 or signaling molecules (eg, FLT3, RAS) typically are secondary events that occur later during leukemogenesis. Genetic data are now being used to inform disease classification, risk stratification, and clinical care of patients. Two new provisional entities, AML with mutated RUNX1 and AML with BCR- ABL1, have been included in the current update of the WHO classification of myeloid neoplasms and AML, and mutations in three genes— RUNX1, ASXL1, and TP53—have been added in the risk stratification of the 2017 European LeukemiaNet recommendations for AML. Integrated evaluation of baseline genetics and assessment of minimal residual disease are expected to further improve risk stratification and selection of postremission therapy. Finally, the identification of disease alleles will guide the development and use of novel molecularly targeted therapies.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1364-1364 ◽  
Author(s):  
Anna B. Halpern ◽  
Megan Othus ◽  
Kelda Gardner ◽  
Genevieve Alcorn ◽  
Mary-Elizabeth M. Percival ◽  
...  

Background: Optimal treatment for medically less fit adults with acute myeloid leukemia (AML) remains uncertain. Retrospective data suggest intensive therapy may lead to better outcomes in these patients. However, these findings must be interpreted cautiously because of the possibility of selection bias and other confounders. Ideally, the optimal treatment intensity is defined via randomized trial but whether patients and their physicians are amenable to such a study is unknown. We therefore designed a trial (NCT03012672) to 1) evaluate the feasibility of randomization between intensive and non-intensive therapy in this population and 2) examine the impact of treatment intensity on response rate and survival. We used CLAG-M as high-dose cytarabine-based intensive induction therapy. Rather than selecting different classes of drugs in the 2 treatment arms- which may have different modes of action and therefore confound the question of treatment intensity - we used reduced-dose ("mini") CLAG-M as the non-intensive comparator. Methods: Adults ≥18 years were eligible if they had untreated AML or high-grade myeloid neoplasms (≥10% blasts in blood or marrow) and were medically less fit as defined by having a "treatment related mortality" (TRM) score of ≥13.1, corresponding to a >10-15% 28-day mortality with intensive chemotherapy. Left ventricular ejection fraction ≤45% was the only organ function exclusion. Patient-physician pairs were first asked if they were amenable to randomized treatment allocation. If so, they were randomized 1:1 to mini- vs. regular-dose CLAG-M. If not, in order to evaluate our secondary endpoints, the patient or physician could choose the treatment arm and still enroll on study. Patients and physicians then completed surveys elucidating their decision-making processes. Up to 2 induction courses were given with mini- vs. regular-dose CLAG-M: cladribine 2 or 5 mg/m2/day (days 1-5), cytarabine 100 or 2,000 mg/m2/day (days 1-5), G-CSF 300 or 480µcg/day for weight </≥76kg in both arms (days 0-5), and mitoxantrone 6 or 18 mg/m2/day (days 1-3). CLAG at identical doses was used for post-remission therapy for up to 4 (regular-dose CLAG) or 12 (mini-CLAG) cycles. The primary endpoint was feasibility of randomization, defined as ≥26/50 of patient-physician pairs agreeing to randomization. Secondary outcomes included rate of complete remission (CR) negative for measurable ("minimal") residual disease (MRD), rate of CR plus CR with incomplete hematologic recovery (CR+CRi), and overall survival (OS). Results: This trial enrolled 33 patients. Only 3 (9%) patient/physician pairs agreed to randomization and thus randomization was deemed infeasible (primary endpoint). Eighteen pairs chose mini-CLAG-M and 12 regular-dose CLAG-M for a total of 19 subjects in the lower dose and 14 subjects in the higher dose arms. The decision favoring lower dose treatment was made largely by the physician in 5/18 (28%) cases, the patient in 11/18 (61%) cases and both in 2/18 (11%). The decision favoring the higher dose arm was made by the patient in most cases 9/12 (75%), both physician and patient in 2/12 (16%) and the physician in only 1/12 (8%) cases. Despite the limitations of lack of randomization, patients' baseline characteristics were well balanced with regard to age, performance status, TRM score, lab values and cytogenetic/mutational risk categories (Table 1). One patient was not yet evaluable for response or TRM at data cutoff. Rates of MRDneg CR were comparable: 6/19 (32%) in the lower and 3/14 (21%) in the higher dose groups (p=0.70). CR+CRi rates were also similar in both arms (43% vs. 56% in lower vs. higher dose arms; p=0.47). Three (16%) patients experienced early death in the lower dose arm vs. 1 (7%) in the higher dose arm (p=0.43). With a median follow up of 4.2 months, there was no survival difference between the two groups (median OS of 6.1 months in the lower vs. 4.7 months in the higher dose arm; p=0.81; Figure 1). Conclusions: Randomization of medically unfit patients to lower- vs. higher-intensity therapy was not feasible, and physicians rarely chose higher intensity therapy in this patient group. Acknowledging the limitation of short follow-up time and small sample size, our trial did not identify significant differences in outcomes between intensive and non-intensive chemotherapy. Analysis of differences in QOL and healthcare resource utilization between groups is ongoing. Disclosures Halpern: Pfizer Pharmaceuticals: Research Funding; Bayer Pharmaceuticals: Research Funding. Othus:Celgene: Other: Data Safety and Monitoring Committee. Gardner:Abbvie: Speakers Bureau. Percival:Genentech: Membership on an entity's Board of Directors or advisory committees; Pfizer Inc.: Research Funding; Nohla Therapeutics: Research Funding. Scott:Incyte: Consultancy; Novartis: Consultancy; Agios: Consultancy; Celgene: Consultancy. Becker:AbbVie, Amgen, Bristol-Myers Squibb, Glycomimetics, Invivoscribe, JW Pharmaceuticals, Novartis, Trovagene: Research Funding; Accordant Health Services/Caremark: Consultancy; The France Foundation: Honoraria. Oehler:Pfizer Inc.: Research Funding; Blueprint Medicines: Consultancy. Walter:BioLineRx: Consultancy; Astellas: Consultancy; Argenx BVBA: Consultancy; BiVictriX: Consultancy; Agios: Consultancy; Amgen: Consultancy; Amphivena Therapeutics: Consultancy, Equity Ownership; Boehringer Ingelheim: Consultancy; Boston Biomedical: Consultancy; Covagen: Consultancy; Daiichi Sankyo: Consultancy; Jazz Pharmaceuticals: Consultancy; Seattle Genetics: Research Funding; Race Oncology: Consultancy; Aptevo Therapeutics: Consultancy, Research Funding; Kite Pharma: Consultancy; New Link Genetics: Consultancy; Pfizer: Consultancy, Research Funding. OffLabel Disclosure: Cladribine is FDA-approved for Hairy Cell Leukemia. Here we describe its use for AML, where is is also widely used with prior publications supporting its use


2019 ◽  
Vol 152 (3) ◽  
pp. 258-276
Author(s):  
Olga K Weinberg ◽  
Frank Kuo ◽  
Katherine R Calvo

Abstract Objectives The 2017 Workshop of the Society for Hematopathology/European Association for Haematopathology aimed to review clinical cases with germline predisposition to hematolymphoid neoplasms. Methods The Workshop Panel reviewed 51 cases with germline mutations and rendered consensus diagnoses. Of these, six cases were presented at the meeting by the submitting pathologists. Results The cases submitted to the session covering germline predisposition included 16 cases with germline GATA2 mutations, 10 cases with germline RUNX1 mutations, two cases with germline CEBPA mutations, two germline TP53 mutations, and one case of germline DDX41 mutation. The most common diagnoses were acute myeloid leukemia (15 cases) and myelodysplastic syndrome (MDS, 14 cases). Conclusions The majority of the submitted neoplasms occurring in patients with germline predisposition were myeloid neoplasms with germline mutations in GATA2 and RUNX1. The presence of a germline predisposition mutation is not sufficient for a diagnosis of a neoplasm until the appearance of standard diagnostic features of a hematolymphoid malignancy manifest: in general, the diagnostic criteria for neoplasms associated with germline predisposition disorders are the same as those for sporadic cases.


2017 ◽  
Author(s):  
Lingwen Ding ◽  
Qiaoyang Sun ◽  
Kar-Tong Tan ◽  
Wenwen Chien ◽  
Anand Mayakonda ◽  
...  

2014 ◽  
Vol 32 (15_suppl) ◽  
pp. 7068-7068
Author(s):  
Caroline E Sloan ◽  
Phyllis A. Gimotty ◽  
Anne M Boccuti ◽  
Alison Sehgal ◽  
Jianhua Zhao ◽  
...  

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1676-1676
Author(s):  
Alice Marceau-Renaut ◽  
Nicolas Duployez ◽  
Christine Ragu ◽  
Arnaud Petit ◽  
Odile Fenneteau ◽  
...  

Abstract Background. Acute Myeloid Leukemia (AML) is a rare and genetically heterogeneous disease that constitutes 15 to 20% of childhood leukemia. Despite major treatment improvement over the past decades pediatric AML remains a challenging disease with poor outcome compared to acute lymphoid leukemia (ALL). About 50% of these patients relapse after standard intensive chemotherapy. Molecular analysis pointed out the prognostic impact of gene mutation such as FLT3-ITD, NPM1 or CEBPA; and new categories of regulators like epigenetic modifiers. More recently mutational profiling studies revealed distinct molecular subgroups with prognostic significant and stratification in adult AML. Nevertheless cytogenetic and mutational profiles are quite different between adult and pediatric AML. Extensive genomic studies have not been reported to date in pediatric AML. In this context it is of importance to identify additional genetic or molecular abnormalities to better understand leukemogenesis and also to predict outcome and serve as novel therapeutic targets. Methods. We performed a mutational analysis on diagnostic samples from patients enrolled in the French National Multicenter ELAM02 trial. 438 patients with de novo AML (except AML3) were enrolled between march 2005 and December 2011 (median age: 8,22yrs [0-18.61]; median WBC: 15.4G/l [0.4-575]; cytogenetic subgroups: CBF-AML[n=97], NK-AML [n=109], MLL-AML[n=95], MRC2 other[n=77], MRC3 [n=55], failure [n=5]). Diagnostic samples were prospectively collected and 386 of the 438 patients (88%) were studied by next-generation sequencing (Miseq, Illumina with haloplex librairy and ion Proton, thermofischer with ampliseq librairy) including 36 genes frequently reported in myeloid malignancy. Two different technologies of next generation sequencing (NGS) were used, allowing direct validation. FLT3-ITD was detected and quantified by Genescan analysis. Results. We identified 579 driver mutations involving 36 genes or regions in 386 patients (mean 1.5 per case), with at least 1 driver mutation in 291 patients (75%) and 2 or more driver mutations in 44% of samples. The number of mutation identified at diagnosis in cytogenetic subgroup is significantly lower in MLL-AML (0.44 mutation/patient; p<10-4). Mutations involving genes from the tyrosine kinase pathways (i.e RAS, FLT3, KIT, PTPN11, JAK2, MPL, CBL) were the most frequent and represent 56.3% of all aberrations. Among them N-RAS was detected in 26.4% of all cases, followed by FLT3-ITD, KIT and K-RAS in 14.8%, 12.4% and 12.2% respectively. We identified 64 driver mutations in the group of transcription factors (CEBPA, RUNX1, GATA, ETV6), 60 in the combined group of chromatin modifier (ASXL1, EZH2, BCOR) and DNA methylation (DNMT3A, IDH, TET2), 59 in the group of tumor suppressor genes (WT1, PHF6, TP53) 36 mutations in NPM1 gene, and few mutations in cohesion and spliceosome sub-groups. Identified mutations are indicated in the figure according cytogenetic subgroups. Among the 438 patients, 398 (91%) were in complete remission (CR) after two courses (induction and first consolidation), the 5-year overall survival (OS) is 71.5% [65-78] and the 5-year leukemia free survival (LFS) is 56.6% [49.7-63.5]. In univariate analysis, we found that FLT3-ITD, mutations in RUNX1, WT1 and PHF6 were associated with reduced LFS (p=0.0003 for FLT3-ITD, p=0.01 for RUNX1, p=0.02 for WT1 and p=0.025 for PHF6) and reduced OS (p=0.0003 for FLT3-ITD, p=0.0003 for RUNX1, p=0.015 for WT1 and p=0.04 for PHF6). Mutations in NPM1 is associated with an improved 5-yr LFS (p=0.014) and 5-yr OS (p=0.005). Multivariate analysis revealed that FLT3-ITD, RUNX1 and PHF6 were independently associated with an adverse outcome and NPM1 with an improved outcome. Conclusions. We performed an extensive mutational study in de novo pediatric AML enrolled in the ELAM02 trial. We described the genomic landscape of 386 patients and showed the frequency of different mutations according cytogenetics. Interestingly we found mutations in genes involved in constitutional or pre-leukemic disease such as PTPN11, RUNX1, MPL or ETV6. We found that FLT3-ITD, RUNX1 and PHF6 mutations predict poor outcome although NPM1 mutations predict a better outcome. Mutational profiling reveals useful information for risk stratification and therapeutic decisions. Figure Figure. Disclosures Baruchel: Amgen: Consultancy.


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