Abstract 67: Genomic and mutational profiling of human colon adenomas reveals early driver mutations and a TGF-β-CEA regulated profile

Author(s):  
Vipin K. Menon ◽  
Raju S. Gottumukkala ◽  
Jian Chen ◽  
Xiaoping Su ◽  
Nipun Mistry ◽  
...  
2015 ◽  
Vol 148 (4) ◽  
pp. S-353-S-354
Author(s):  
Vipin K. Menon ◽  
Gottumukkala S. Raju ◽  
Jian Chen ◽  
Xiaoping Su ◽  
Avijit Majumdar ◽  
...  

2011 ◽  
Vol 4 (1) ◽  
pp. 161-171 ◽  
Author(s):  
Emily J. Greenspan ◽  
James P. Madigan ◽  
Lisa A. Boardman ◽  
Daniel W. Rosenberg
Keyword(s):  

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.


Author(s):  
Christoph Schmöcker ◽  
Heike Gottschall ◽  
Katharina M. Rund ◽  
Laura Kutzner ◽  
Fabian Nolte ◽  
...  
Keyword(s):  

2018 ◽  
Vol 11 (7) ◽  
pp. 413-428 ◽  
Author(s):  
Shannon D. McClintock ◽  
Justin A. Colacino ◽  
Durga Attili ◽  
Michael K. Dame ◽  
Aliah Richter ◽  
...  

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4173-4173
Author(s):  
Zachary D. Epstein-Peterson ◽  
Joseph Tripodi ◽  
Maria E Arcila ◽  
Filiz Sen ◽  
Vesna Najfeld ◽  
...  

Background: Mutational profiling using next-generation sequencing (NGS) has enhanced our biological understanding of and improved prognostic abilities for patients with BCR-ABL1-negative myeloproliferative neoplasms (MPN). Mutations in JAK2, CALR, and MPL, all of which activate the JAK-STAT pathway, account for the majority of MPN driver mutations, and are thought to be mutually exclusive. However, recent data has demonstrated that multiple JAK-STAT activating mutations may coexist in the same patient. Whether such patients demonstrate unique disease biology or clinical manifestations of disease has not been elucidated. Furthermore, characterization of the genomic architecture and histopathologic details of such cases has largely not been described. Methods: We queried genomically-annotated clinical databases at Mount Sinai Hospital and Memorial Sloan Kettering Cancer center to identify patients with myeloid malignancies with dual driver mutations in either JAK2, CALR, and MPL, with absence of BCR-ABL1. We performed chart review to record clinical parameters. Sequencing was carried out using a commercial CLIA-certified myeloid malignancy NGS panel (Genoptix, N=2) or a CLIA-certified myeloid/lymphoid malignancy NGS panel at Memorial Sloan Kettering (N=10). Only variants deemed to be oncogenic or likely oncogenic based on published reports or publicly-available annotated databases were included. We assigned cytogenetic risk for primary myelofibrosis (PMF) based on DIPSS. Histopathologic analysis was performed on bone marrow biopsy and aspirate samples simultaneous with mutational profiling. Results: We identified 11 MPN patients and 1 de novo AML patient out of a total of 680 sequenced patients, with two JAK-STAT activating mutations (Table 1). No cases were identified with more than two activating JAK-STAT mutations. We identified canonical mutations in JAK2, MPL, and CALR in most cases, with some cases harboring mutations reported at a lower frequency in these genes. Co-occurring mutations in genes frequently identified in myeloid malignancies such as TET2 and splicing factors were also identified. Clonal architecture was inferred from mutant-allele fraction (MAF) ratios in these cases. We identified two predominant patterns of clonal architecture across these cases. First, cases in which the MAFs of the two JAK-STAT driver mutations approximate each other (Figure 1A) and second, cases in which one of the JAK-STAT mutations represents the dominant clone (Figure 1B). The greatest discordance in driver mutation MAF occurred in patients with ET, whereas several cases of PMF demonstrated a relative concordance of driver mutation MAF. Karyotype was normal in 4 patients and not performed in 3 patients; the remaining patients had: gain of 9, t(7;12), del(16q), and +der(9)(p10),del(9)(p12p21). Additionally, aCGH+SNP uncovered cryptic CNLOH of 7q22.37q31.2 in one patient. Histopathologic analysis of these cases demonstrated findings consistent with classical description of MPNs (Figures 2A, 2B). These histologic sections from a patient with concurrent MPL and JAK2 mutations showed features suggestive of ET. However, megakaryocytes showed variable morphology ranging from bulbous forms to slightly hyperlobulated forms. Overall, the megakaryocytes were not overly enlarged. Conclusions: Consistent with prior observations, in a proportion of cases with dual driver mutants, the MAF between the two genes is highly discordant. However, in a substantial proportion of cases we have identified, the MAFs of co-occurring driver mutations were relatively concordant. These findings suggest the possibility of clonal interference, as has been described in RAS-mutant core-binding factor AML (Itzykson R, et al. Blood 132.2 (2018): 187-196). Co-existing clonal hematopoiesis could also explain these results. These findings may have clinical implications for the natural history of the disease. Of greater importance, this may have implications for response to therapeutic modalities such as interferon, as differences in response rates to interferon have been described based on the type of JAK-STAT driver mutation present. Thus, clonal selection may occur. Clinical and preclinical data pertaining to the impact of interferon and JAK inhibitors on clonal architecture in dual JAK-STAT driver mutation cases will be presented at the meeting. Disclosures Arcila: Invivoscribe, Inc.: Consultancy, Honoraria. Mascarenhas:Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Roche: Consultancy, Research Funding; Merck: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; CTI Biopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; Promedior: Research Funding; Merus: Research Funding; Pharmaessentia: Consultancy, Membership on an entity's Board of Directors or advisory committees. Hoffman:Merus: Research Funding. Rampal:Celgene: Consultancy; Jazz: Consultancy; Blueprint: Consultancy; Constellation: Consultancy, Research Funding; Stemline: Consultancy, Research Funding; Incyte: Research Funding.


Author(s):  
Noriko Hanamura ◽  
Toshimichi Yoshida ◽  
Ei-ichi Matsumoto ◽  
Yoshifumi Kawarada ◽  
Teruyo Sakakura

2012 ◽  
Vol 72 (23) ◽  
pp. 6279-6289 ◽  
Author(s):  
Sergey I. Nikolaev ◽  
Sotirios K. Sotiriou ◽  
Ioannis S. Pateras ◽  
Federico Santoni ◽  
Stavros Sougioultzis ◽  
...  

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