scholarly journals Multi-Recombinase Mouse Models of Flt3-Driven Leukemia Identifies Distinct Trajectories of Mutational Cooperativity and Leukemic Transformation

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2220-2220
Author(s):  
Robert L. Bowman ◽  
Tanmay Mishra ◽  
Shira E. Eisman ◽  
Louise Cai ◽  
Wenbin Xiao ◽  
...  

Abstract Genomic studies in acute myeloid leukemia (AML) have generated a near complete catalogue of genes mutated at varying frequencies both across patients and in individual leukemias. The high variability of mutation burden within a given leukemia is suggestive of a stepwise evolutionary process composed of early, clonal, mutations and subsequent subclonal events. The receptor tyrosine kinase, FLT3, is the most commonly mutated gene in AML, with mutations frequently manifesting as internal tandem duplications (ITDs) in the juxtamembrane domain leading to constitutive kinase activation. Although FLT3 is commonly a subclonal mutational event, FLT3 ITD mutations portend a poor prognosis particularly when combined with DNMT3A and NPM1, earlier mutations that drive clonal expansion. Notwithstanding its role as a subclonal driver, previous preclinical FLT3 models have utilized retroviral overexpression or germline mutant expression at the endogenous locus precluding accurate temporal modeling of disease. These efforts have prohibited evaluation of FLT3 mutational acquisition in the context observed in AML patients. Here, we report the development of an endogenously targeted, Flp inducible, Flt3 ITD mouse allele which can be somatically activated subsequent to cooperating disease alleles. When activated with a tamoxifen inducible FlpoER, Flt3 mutant mice developed rapid leukocytosis peaking at 4-6 weeks post activation and resolving by 8-10 weeks, a finding not previously observed in constitutive models. This leukocytosis was disproportionately monocytic and accompanied by pronounced anemia and thrombocytopenia. Long term, these mice develop a myeloproliferative disease , reminiscent of previously reported constitutive alleles. In competitive transplantation studies, Flt3 mutant cells initiated disease and outcompeted wild-type cells. Despite this competitive advantage, disease was incapable of transplanting into secondary recipients. We further observed a non-cell autonomous depletion of SLAM+ LSKs suggesting the Flt3 mutant cells cannot propagate disease in self-renewing stem cells. To evaluate how this allele influenced leukemic evolution we crossed this Flt3 ITD allele to a Flp inducible Npm1 c mouse where a pulse of tamoxifen simultaneously activated both alleles. The combination of mutant Npm1 and Flt3 resulted in progressive leukocytosis which did not resolve. Within 6 weeks of mutational activation, these mice developed a lethal AML with robust anemia, thrombocytopenia, leukocytosis and expanded cKIT+ blasts in the blood. RNA-sequencing and immunophenotyping by CyTOF revealed distinct patterns of differentiation, gene-expression and downstream signaling.In an effort to model sequential mutational acquisition, we crossed the Flp Flt3 ITD allele to a Cre-inducible Dnmt3a R878H. Cre mRNA was electroporated into lineage negative bone marrow cells to activate the Dnmt3a R878H allele and transplanted into lethally irradiated recipients. Four weeks post engraftment, Flt3 ITD was activated with a pulse of tamoxifen. In contrast to the Flt3-Npm1 model, we observed an increase and subsequent decrease in WBC similar to the kinetics observed in Flt3 ITD only mice. However, by 20 weeks we observed a robust and consistent increase in WBC accompanied by an emergence of cKIT+ cells in the blood. Histopathology indicated that >50% of mice expressing both alleles in sequence developed AML marked by increased blasts in the marrow, with moderate anemia and thrombocytopenia compared to the Flt3-Npm1 models. Critically, in contrast to Flt3 ITD only mice, acquisition of the Flt3 ITD in Npm1 or Dnmt3a mutant HPSCs induced fully transplantable AML with immunophenotypic characteristics seen in human AML with these same genotypes. Collectively these results demonstrate that different co-occurring mutations are capable of transforming Flt3 ITD mutant cells, albeit with distinct latencies and mechanisms of cooperativity. In summary, our studies utilizing novel multi-recombinase models of leukemogenesis reveal new insights into the early phase of oncogene activation, and how cooperating alleles influence this response. This inducible Flt3 ITD allele represents a significant advance in modeling clonal evolution in myeloid malignancies and provides a critical isogenic platform for preclinical development of novel leukemia therapeutic regimens. Figure 1 Figure 1. Disclosures Bowman: Mission Bio: Honoraria, Speakers Bureau. Xiao: Stemline Therapeutics: Research Funding. Miles: Mission Bio: Honoraria, Speakers Bureau. Trowbridge: Fate Therapeutics: Patents & Royalties; H3 Biomedicine: Research Funding. Levine: Amgen: Honoraria; Lilly: Honoraria; Mission Bio: Membership on an entity's Board of Directors or advisory committees; Imago: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Ajax: Membership on an entity's Board of Directors or advisory committees; QIAGEN: Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria; Zentalis: Membership on an entity's Board of Directors or advisory committees; Isoplexis: Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Research Funding; Janssen: Consultancy; Astellas: Consultancy; Morphosys: Consultancy; Incyte: Consultancy; Auron: Membership on an entity's Board of Directors or advisory committees; Prelude: Membership on an entity's Board of Directors or advisory committees; C4 Therapeutics: Membership on an entity's Board of Directors or advisory committees.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3-3
Author(s):  
Alba Rodriguez-Meira ◽  
Haseeb Rahman ◽  
Ruggiero Norfo ◽  
Wei Wen ◽  
Agathe Chédeville ◽  
...  

Abstract In myeloid malignancies, presence of 'multi-hit' TP53 mutations is associated with lack of response to conventional therapy and dismal outcomes, particularly when found in combination with a complex karyotype. Therefore, it is crucial to understand the biological basis of TP53-mutant driven clonal evolution, suppression of antecedent clones and eventual disease transformation to inform the development of more effective therapies. Myeloproliferative neoplasms (MPN) represent an ideal tractable disease model to study this process, as progression to secondary acute myeloid leukemia (sAML) frequently occurs through the acquisition of TP53 missense mutations. To characterize tumor phylogenies, cellular hierarchies and molecular features of TP53-driven transformation, we performed single-cell multi-omic TARGET-seq analysis (PMID: 33377019 & 30765193) of 22116 hematopoietic stem and progenitor cells (HSPCs) from 35 donors and 40 timepoints (controls, MPN in chronic phase, pre-AML and TP53-mutated sAML; Figure1a). TARGET-seq uniquely enables single-cell mutation analysis with allelic resolution with parallel transcriptomic and cell-surface proteomic readouts. We invariably identified convergent clonal evolution leading to complete loss of TP53 wild-type alleles upon transformation, including parallel evolution of separate TP53 "multi-hit" subclones in the same patient (n=4/14) and JAK2-negative progression (n=2/14). Complex clonal evolution driven by chromosomal abnormalities (CAs) was present in all patients and TP53 multi-hit HSPCs without CAs were rarely observed. Subclones with recurrent CA such as monosomy 7 showed upregulation of RAS-associated transcription and preferentially expanded in xenograft models. Together, these data indicate that TP53 missense mutation, loss of TP53 wild-type allele and cytogenetic evolution are collectively required for leukemic stem cell (LSC) expansion. Integrated transcriptomic analysis of sAML samples (Figure1b) revealed three major populations: (1) a TP53-mutant cluster (Figure1c) characterized by an erythroid signature (e.g. KLF1, GATA1, GYPA; an unexpected finding as no cases showed diagnostic features of erythroid leukemia), (2) an LSC TP53-mutant cluster (Figure1d) and (3) a TP53-WT preleukemic cluster (Figure1e). The LSC cluster showed dysregulation of key stem cell regulators, from which we derived a novel 48-gene LSC score with prognostic impact in an independent AML cohort (HR=3.13; Figure1f). Importantly, this score was predictive of outcome irrespective of TP53 status for both de novo and sAML, demonstrating its broader potential clinical utility. TARGET-seq analysis uniquely allowed us to characterize rare TP53-WT preleukemic cells (preLSCs), which were almost exclusively confined to the immunophenotypic lineage-CD34+CD38-CD90+CD45RA- HSC compartment. PreLSC from sAML samples presented increased stemness, increased quiescence, aberrant inflammatory signaling and differentiation defects (Figure1g) as compared to HSCs from normal or MPN donors, both at the transcriptional and functional levels through in vitro long-term and short-term cultures. This indicates cell-extrinsic suppression of residual TP53-WT hematopoiesis. Longitudinal analysis of TP53-heterozygous mutant HSPCs at different stages of disease evolution (Figure1a) revealed that aberrant inflammatory signalling (e.g. BST2, IFITM1, IFITM3) in the genetic ancestors of TP53 "multi-hit" LSCs, but not the presence of TP53-mutations alone, was predictive of subsequent transformation. In a mouse model system, TP53-mutant cells challenged with sustained inflammatory stimuli acquired a mean 3-fold competitive advantage in WT: TP53 R172H/+chimeras. This indicates that pro-inflammatory cues from the tumour microenvironment promote fitness advantage of TP53-mutant cells whilst supressing antecedent clones. In summary, we present a comprehensive single-cell multi-omic analysis of the genetic, cellular and molecular landscape of TP53-mediated transformation, providing unique insights into the evolution of chronic hematological malignancies towards an aggressive acute leukemia (Figure1h). Since TP53 is the most commonly mutated gene in human cancer, we anticipate these findings will be of broader relevance to many other cancer types. Figure 1 Figure 1. Disclosures Kretzschmar: Vanadis Diagnostics, a PerkinElmer company.: Current Employment. Drummond: BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; CTI: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Harrison: Geron: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Galacteo: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Keros: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sierra Oncology: Honoraria; Constellation Pharmaceuticals: Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AOP Orphan Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Incyte Corporation: Speakers Bureau; Promedior: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Shire: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead Sciences: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Mead: Abbvie: Consultancy, Honoraria; Celgene/BMS: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Speakers Bureau.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4309-4309
Author(s):  
María Abáigar ◽  
Jesús M Hernández-Sánchez ◽  
David Tamborero ◽  
Marta Martín-Izquierdo ◽  
María Díez-Campelo ◽  
...  

Abstract Introduction: Myelodysplastic syndromes (MDS) are hematological disorders at high risk of progression to acute myeloid leukemia (AML). Although, next-generation sequencing has increased our understanding of the pathogenesis of these disorders, the dynamics of these changes and clonal evolution during progression have just begun to be understood. This study aimed to identify the genetic abnormalities and study the clonal evolution during the progression from MDS to AML. Methods: A combination of whole exome (WES) and targeted-deep sequencing was performed on 40 serial samples (20 MDS/CMML patients evolving to AML) collected at two time-points: at diagnosis (disease presentation) and at AML transformation (disease evolution). Patients were divided in two different groups: those who received no disease modifying treatment before they transformed into AML (n=13), and those treated with lenalidomide (Lena, n=2) and azacytidine (AZA, n=5) and then progressed. Initially, WES was performed on the whole cohort at the MDS stage and at the leukemic phase (after AML progression). Driver mutations were identified, after variant calling by a standardized bioinformatics pipeline, by using the novel tool "Cancer Genome Interpreter" (https://www.cancergenomeinterpreter.org). Secondly, to validate WES results, 30 paired samples of the initial cohort were analyzed with a custom capture enrichment panel of 117 genes, previously related to myeloid neoplasms. Results: A total of 121 mutations in 70 different genes were identified at the AML stage, with mostly all of them (120 mutations) already present at the MDS stage. Only 5 mutations were only detected at the MDS phase and disappeared during progression (JAK2, KRAS, RUNX1, WT1, PARN). These results suggested that the majority of the molecular lesions occurring in MDS were already present at initial presentation of the disease, at clonal or subclonal levels, and were retained during AML evolution. To study the dynamics of these mutations during the evolution from MDS/CMML to AML, we compared the variant allele frequencies (VAFs) detected at the AML stage to that at the MDS stage in each patient. We identified different dynamics: mutations that were initially present but increased (clonal expansion; STAG2) or decreased (clonal reduction; TP53) during clinical course; mutations that were newly acquired (BCOR) or disappearing (JAK2, KRAS) over time; and mutations that remained stable (SRSF2, SF3B1) during the evolution of the disease. It should be noted that mutational burden of STAG2 were found frequently increased (3/4 patients), with clonal sizes increasing more than three times at the AML transformation (26>80%, 12>93%, 23>86%). Similarly, in 4/8 patients with TET2 mutations, their VAFs were double increased (22>42%, 15>61%, 50>96%, 17>100%), in 2/8 were decreased (60>37%, 51>31%), while in the remaining 2 stayed stable (53>48%, 47>48%) at the AML stage. On the other hand, mutations in SRSF2 (n=3/4), IDH2 (n=2/3), ASXL1 (n=2/3), and SF3B1 (n=3/3) showed no changes during progression to AML. This could be explained somehow because, in leukemic phase, disappearing clones could be suppressed by the clonal expansion of other clones with other mutations. Furthermore we analyzed clonal dynamics in patients who received treatment with Lena or AZA and after that evolved to AML, and compared to non-treated patients. We observed that disappearing clones, initially present at diagnosis, were more frequent in the "evolved after AZA" group vs. non-treated (80% vs. 38%). By contrast, increasing mutations were similar between "evolved after AZA" and non-treated patients (60% vs. 61%). These mutations involved KRAS, DNMT1, SMC3, TP53 and TET2among others. Therefore AZA treatment could remove some mutated clones. However, eventual transformation to AML would occur through persistent clones that acquire a growth advantage and expand during the course of the disease. By contrast, lenalidomide did not reduce the mutational burden in the two patients studied. Conclusions: Our study showed that the progression to AML could be explained by different mutational processes, as well as by the occurrence of unique and complex changes in the clonal architecture of the disease during the evolution. Mutations in STAG2, a gene of the cohesin complex, could play an important role in the progression of the disease. [FP7/2007-2013] nº306242-NGS-PTL; BIO/SA52/14; FEHH 2015-16 (MA) Disclosures Del Cañizo: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jansen-Cilag: Membership on an entity's Board of Directors or advisory committees, Research Funding; Arry: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 207-207 ◽  
Author(s):  
Timothy P. Hughes ◽  
Andreas Hochhaus ◽  
Giuseppe Saglio ◽  
Dong-Wook Kim ◽  
Saengsuree Jootar ◽  
...  

Abstract Abstract 207 Background: Results from the phase 3, international, randomized ENESTnd trial have demonstrated the superior efficacy of nilotinib over imatinib with significantly higher rates of major molecular response (MMR), complete cytogenetic response (CCyR), and with significantly lower rates of progression to AP/BC on treatment. Here, we present data with a median follow-up of 18 months. Methods: 846 CML-CP patients were randomized to nilotinib 300 mg twice daily (bid) (n=282), nilotinib 400 mg bid (n=281), and imatinib 400 mg once daily (n=283). Primary endpoint was MMR (≤ 0.1% BCR-ABLIS) rate “at” 12 months, as previously presented. Key secondary endpoint was durable MMR at 24 months. Other endpoints assessed at 24 months include progression to AP/BC (with and without clonal evolution), event-free survival, progression-free survival, and overall survival (OS). Results: With a median follow-up of 18 months, the overall best MMR rate was superior for nilotinib 300 mg bid (66%, P < .0001) and nilotinib 400 mg bid (62%, P < .0001) compared with imatinib (40%). Superior rates of MMR were observed in both nilotinib arms compared with the imatinib arm across all Sokal risk groups (Table). The overall best rate of BCR-ABLIS ≤ 0.0032% (equivalent to complete molecular response, CMR) was superior for nilotinib 300 mg bid (21%, P < .0001) and nilotinib 400 mg bid (17%, P < .0001) compared with imatinib (6%). The overall best CCyR rate was superior for nilotinib 300 mg bid (85%, P < .001) and nilotinib 400 mg bid (82%, P=.017) compared with imatinib (74%). The superior efficacy of nilotinib was further demonstrated using the 2009 European LeukemiaNet (ELN) 12-month milestone in which fewer patients had suboptimal response or treatment failure on nilotinib 300 mg bid (2%, 3%) and nilotinib 400 mg bid (2%, 2%) vs imatinib (11%, 8%). Rates of progression to AP/BC on treatment were significantly lower for nilotinib 300 mg bid (0.7%, P=.006) and nilotinib 400 mg bid (0.4%, P=.003) compared with imatinib (4.2%). The rate of progression on treatment was also significantly lower for nilotinib when including clonal evolution as a criteria for progression (Table). There were fewer CML-related deaths on nilotinib 300 mg bid (n=2), and 400 mg bid (n=1) vs imatinib (n=8). Estimated OS rate (including data from follow-up after discontinuation) at 18 months was higher for nilotinib 300 mg bid (98.5%, P=.28) and nilotinib 400 mg bid (99.3%, P=.03) vs imatinib (96.9%). Both drugs were well-tolerated. Discontinuations due to adverse events or laboratory abnormalities were lowest for nilotinib 300 mg bid (7%) compared with nilotinib 400 mg bid (12%) and imatinib (9%). With longer follow up there has been minimal change in the occurrence of AEs. Minimum 24-month follow-up data for all patients will be presented. Conclusions: With longer follow-up, nilotinib was associated with a significantly lower rate of progression to AP/BC on treatment and lower rates of suboptimal response or treatment failure vs imatinib. Nilotinib resulted in fewer CML-related deaths and a higher OS rate vs imatinib. Nilotinib induced superior rates of MMR, CMR, and CCyR vs imatinib in patients with newly diagnosed CML-CP. Taken together, these data support nilotinib as a new standard of care for patients with newly diagnosed CML. Disclosures: Hughes: Novartis: Honoraria, Research Funding, Speakers Bureau; Bristol-Meyers Squibb: Honoraria, Research Funding; Ariad: Honoraria. Hochhaus:Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Saglio:Novartis: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria. Kim:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. le Coutre:Novartis: Research Funding, Speakers Bureau; Bristol-Myers Squibb: Speakers Bureau. Reiffers:Novartis: Research Funding. Pasquini:Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria. Clark:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genzyme: Honoraria, Research Funding. Gallagher:Novartis Pharma AG: Employment, Equity Ownership. Hoenekopp:Novartis Pharma AG: Employment. Haque:Novartis: Employment. Larson:Novartis: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding. Kantarjian:Novartis: Consultancy, Research Funding; Bristol Myers Squibb: Research Funding; Pfizer: Research Funding.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5223-5223
Author(s):  
Jamshid S Khorashad ◽  
Srinivas K Tantravahi ◽  
Dongqing Yan ◽  
Anna M. Eiring ◽  
Hannah M. Redwine ◽  
...  

Abstract Introduction. Development of abnormal Philadelphia (Ph) negative clones following treatment of chronic myeloid leukemia (CML) patients with imatinib has been observed in 3 to 9% of patients. Here we report on a 77 year old male diagnosed with CML that responded to imatinib treatment and subsequently developed chronic myelomonocytic leukemia (CMML). He achieved major cytogenetic response within 3 months but this response coincided with the emergence of monocytosis diagnosed as CMML. Five months after starting imatinib treatment the patient succumbed to CMML. We analyzed five sequential samples to determine whether a chronological order of mutations defined the emergence of CMML and to characterize the clonal evolution of the CMML population. Materials and Method. Five samples (diagnostic and four follow up samples) were available for analysis. CMML mutations were identified by whole exome sequencing (WES) in CD14+ cells following the onset of CMML, using CD3+ cells as constitutional control. Mutations were validated by Sequenom MassARRAY and Sanger sequencing and quantified by pyrosequencing. Deep WES was performed on the diagnostic sample to determine whether the mutations were present at CML diagnosis. To determine the clonal architecture of the emerging CMML, colony formation assays were performed on the diagnostic and the next two follow-up samples (Samples 1-3). More than 100 colonies per sample were plucked for DNA and RNA isolation. The DNA from these colonies were tested for the presence of the confirmed CMML mutations and the RNA was used for detection of BCR-ABL1 transcript using a Taqman real time assay. Results. Four mutations were identified by Sequenom and WES throughout the patient's time course [KRASG12R, MSLNP462H, NTRK3V443I and EZH2I669M ]. Sequenom did not identify these at diagnosis while deep WES did. Clones derived from colony formation assay revealed three distinct clones present in all samples analysed. Clone 1 had only KRASG12R, clone 2 had KRASG12R, MSLNP462H, and NTRK3V443I, and clone 3 had all four mutations. All clones containing any of these four mutations were BCR/ABL1 negative. Analysis of clonal architecture indicated that KRASG12R was acquired first and EZH2I669M last, while MSLNP462H and NTRK3V443I were acquired in between. These CMML clones increased proportionately as clinical CML metamorphosed into clinical CMML after initiation of imatinib therapy. Consistent with the colony data, pyrosequencing revealed that the ratio between the mutants remained largely stable throughout the follow up period. Conclusion. This case illustrates how targeted therapy impacts clonal competition in a heterogeneous MPN. While the CML clone was dominant in the absence of imatinib, it was quickly outcompeted by the CMML clones upon initiation of imatinib therapy. The clonal architecture analysis, in combination with in vivo kinetics data, suggest that the KRASG12R mutation alone was able to produce a CMML phenotype as clones with just KRASG12R remained at a relatively stable ratio during follow up. Unexpectedly, acquisition of additional mutations, including EZH2I669M as the last mutational event identified in this patient, did not increase clonal competitiveness, at least in the peripheral blood. These data show that clonal evolution may not invariably increase clonal fitness, suggesting that factors other than Darwinian pressures contribute to clonal diversity in myeloproliferative neoplasms. Disclosures Deininger: Gilead: Research Funding; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 689-689
Author(s):  
John S. Welch ◽  
Allegra Petti ◽  
Christopher A. Miller ◽  
Daniel C. Link ◽  
Matthew J. Walter ◽  
...  

Abstract To determine how AML subclonal architecture changes during decitabine treatment, and whether specific mutations might correlate with sensitivity vs. resistance to decitabine, we performed exome sequencing at multiple time points during single agent decitabine therapy. We enrolled 69 patients with either AML (age ≥ 60, or with relapsed/refractory disease, N = 45) or MDS (N = 24) on a phase I clinical trial. All subjects were treated with decitabine 20 mg/m2 on days 1-10 of 28 day cycles. With a median follow-up of 13.7 months, the intention to treat clinical response (complete remission with or without complete count recovery: CR/CRi) is 40%, with survival correlating with response (median survival - CR/CRi: 583 days; partial response/stable disease (PR/SD): 260 days; progressive disease (PD) or failure to complete cycle 1: 36 days, p < 0.0001). We performed exome sequencing on unfractionated bone marrow cells at diagnosis (day 0), cycle 1 day 10, cycle 1 day 28, cycle 2 day 28, and, when possible, during remission and at clinical relapse/progression. We have completed sequencing analysis for the first 34 cases (outcomes: 5 CR, 15 CRi, 3 PR, 8 SD, and 3 PD). Several important themes have emerged, as follows: 1) We correlated mutation status at diagnosis with clinical response. All six patients with TP53 mutations obtained clinical CR or CRi, and exome analysis demonstrated near complete elimination of the TP53- associated founding clones by the end of cycle 2 (p < 0.03). Long-term outcomes were similar in these patients compared with other patients who achieved CR/CRi: four patients relapsed after 8, 9, 10, or 17 cycles; 1 patient is doing well post-transplant; and one patient died of an infectious complication after cycle 2. No other mutations were significantly associated with clinical response or with consistent mutation clearance. 2) We observed a reduction in blast counts, which preceded mutation elimination in fourteen cases with CR, CRi or PR. This suggests that decitabine may induce morphological blast differentiation in vivo prior to mutation elimination. 3) In eight of nine cases with a clinical response followed by relapse, clinical progression was associated with expansion of a pre-existing subclone. We have not yet observed any recurrent mutations that reliably predict whether a subclone will contribute to relapse. Intriguingly, in two of these cases, the relapse-associated subclone was detectable at diagnosis and was eliminated more slowly than the founding clone mutations, suggesting that this subclone harbored intrinsic decitabine-resistance. 4) Complete remission can occur with concomitant non-malignant, clonal hematopoiesis. In three cases with a CR, a new clonal population was selected for during the remission. In two of these cases, there were no shared mutations between the founding clone and the emergent, non-malignant, clonal hematopoiesis, suggesting that these clones were unrelated. 5) Mutational architecture is generally stable, but differential chemo-sensitivity can be detected even between subclones in the same patient. In ten cases with PR or SD, we observed minimal shifts within the mutational burden over the course of eight weeks, suggesting that "clonal drift" is a relatively slow process. However, in four cases with SD, what appeared clinically to be simple persistent disease was in fact a dynamic elimination of one subclone, and its replacement by a different subclone. Similarly, in three cases with CRi, we observed rapid clearance of a subclone with slower clearance of the founding clone, again suggesting differential chemo-sensitivity among subclones. 6) Finally, we correlated pharmacologic markers with clinical outcomes. We observed no correlation between steady-state plasma decitabine levels and clinical responses. Using Illumina 450k methylation arrays, we observed a correlation between response and the extent of decitabine-induced hypomethylation in total bone marrow cells that persisted on cycle 1 day 28 (p < 0.01), but not on cycle 1 day 10 (p < 0.1). In summary, these data reveal that response to decitabine is associated with morphologic blast clearance before mutations are eliminated, that relapse is associated with subclonal outgrowth that may be identified early in the treatment course, and that TP53 mutations may be predictive of rapid clinical responses, although, like most responses to decitabine, these are not necessarily durable. Disclosures Off Label Use: Decitabine treatment of AML.. Uy:Novartis: Research Funding. Oh:CTI Biopharma: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees. Abboud:Novartis: Research Funding; Gerson Lehman Group: Consultancy; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; Merck: Research Funding; Teva Pharmaceuticals: Research Funding. Cashen:Celgene: Speakers Bureau. Schroeder:Celgene: Other: Azacitidine provided for this trial by Celgene; Incyte: Consultancy. Jacoby:Sunesis: Research Funding; Novo Nordisk: Consultancy.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 14-15 ◽  
Author(s):  
Maximilian Merz ◽  
Almuth Maria Anni Merz ◽  
Jie Wang ◽  
Lei Wei ◽  
Ahmed Belal ◽  
...  

Introduction: Therapy and immune mediated processes are associated with clonal evolution in multiple myeloma (MM). In this study, we performed whole-exome sequencing (WES) and single cell RNA sequencing (scRNA-seq) on plasma cells (PC) from bone marrow aspirates of the iliac crest (BM) and corresponding osteolytic lesions (OL) to investigate spatial heterogeneity in patients with newly diagnosed (NDMM) and relapsed/refractory MM (RRMM). Next generation flow (NGF) and T-cell receptor sequencing (TCRseq) were performed to investigate the immunogenomic landscape surrounding malignant PC. Methods: In a prospective trial, 18 patients (NDMM: n=10; RRMM: n=8) consented to an imaging-guided biopsy of an OL in addition to the regular BM sampling. At inclusion, 37 different locations were biopsied. Follow-up samples were obtained from 5 patients in remission after therapy. After CD138+ selection, PC were subjected to WES and scRNA-seq (Chromium, 10x genomics). TCRseq was performed using multiplex PCR (ImmunoSEQ, Adaptive biotechnologies) on the CD138- fraction. For scRNA-seq data analyses, Cell Ranger (v3.1.0) and the Seurat R toolkit (v3.1) were used. TCRseq data were analyzed with immunoSEQ ANALYZER (v3.0) and the immunarch R toolkit (v0.6.6.). NGF was performed to study subsets of T-, B-, NK- and dendritic cells (DC). Results: Median PC infiltration was higher in OL compared to random BM (50.0% vs 12.5%, p=0.041). WES revealed more mutations in RRMM compared to NDMM (median; range: 189;120-523 vs 71;23-136, p&lt;0.001). Based on mutational profiles from WES, 4 of 18 patients showed a branching evolution in PC isolated from OL. Three of the 4 patients had RRMM and one patient with NDMM had a prior history of solitary plasmacytoma. PC were obtained from OL with adjacent extramedullary disease (EMD) in 3 of 4 patients with branching evolution. Among site-specific mutations, we found in one patient two distinct BRAF mutations: V600E in the BM and G469R in the OL. An additional NRAS mutation (G12D) was found in the OL. BRAF G469R and NRAS G12D cause resistance to BRAF inhibitors, although this patient was naïve to BRAF-inhibitors. Clonal evolution was also reflected by chromosomal aberrations, including site-specific chromothripsis of chromosome 1 in a patient with RRMM. Even in patients without spatially divergent clones as detected by WES, scRNA-seq of more than 150,000 PC from 10 patients and 21 different locations revealed multiple clones. Distinct PC clones were identified by differential expression of genes associated with homing to the BM (CXCR4), malignant transformation (Jun/Fos, CD27, CD79a), apoptosis (BCL-2) bone disease (DKK1) and LAMP-5. In a patient with NDMM in remission after induction therapy, scRNA-seq demonstrated the emergence of a PC clone characterized by the overexpression of Interferon-induced genes (ISG15, IFI27, IFI44L) compared to the initially predominant PC clones. Next, we investigated spatiotemporal differences of immune cells. Estimation of median TCR richness using an abundance-based estimator (Chao1) revealed significantly lower values in patients with RRMM (120444; 57706-212744) compared to NDMM (389341; 50318-525082, p&lt;0.001) and nine healthy individuals (460278; 138326-696419, p&lt;0.001). No significant differences were found for TCR clonality as indicated by Simpson's D. While longitudinal tracking of TCR clones at primary diagnosis showed no clonal expansion after treatment, induction therapy restored sample richness in patients with NDMM to levels of healthy individuals (p=0.61). Overlap analysis showed a high concordance of TCR repertoires from OL and random BM with Morisita indices ranging in 90% of patients from 0.80 to 0.95. Nevertheless, significant site-specific expansion of TCR clones was detected. In accordance with TCRseq, NGF showed in the BM of patients with RRMM more regulatory T-cells (p=0.048) and less myeloid DC (p=0.024), Th9 cells and CD8 effector memory T-cells compared to NDMM. Conclusion: We report the first prospective clinical trial to investigate spatiotemporal immunogenomic heterogeneity in multiple myeloma as assessed by WES and scRNA-seq of PC and NGF and TCRseq of the non-PC compartment. We demonstrate spatial evolution and reduced TCR diversity especially in patients with RRMM and/or EMD. ScRNA-seq adds another layer of complexity compared to WES and helps identifying how PC create an immune suppressive BM niche. Disclosures Merz: Amgen, BMS, Celgene, Takeda: Honoraria. Block:GlaxoSmithKline LLC: Current Employment. McCarthy:Karyopharm: Consultancy, Honoraria; Magenta: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board; Juno Therapeutics, a Bristol-Myers Squibb Company: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board , Research Funding is to Roswell Park, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board; Starton: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board; Genentech: Consultancy, Honoraria. Hillengass:Adaptive, Amgen, BMS, Celgene, GSK, Janssen, Oncotracker, Takeda: Honoraria.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1201-1201
Author(s):  
Charles Herbaux ◽  
Stéphanie Poulain ◽  
Damien Roos-Weil ◽  
Jacques-Olivier Bay ◽  
Yann Guillermin ◽  
...  

Abstract Background: Ruxolitinib (RUX), a JAK1/JAK2 inhibitor, and venetoclax (VEN), a BCL-2 inhibitor are 2 drug candidates recently identified as promising candidate for the treatment of T-Cell prolymphocytic leukemia (T-PLL). We recently reported that JAK/STAT pathway inhibition with RUX enhances BCL-2 dependence, thereby sensitizing T-PLL cells to VEN (Herbaux et al., Blood, 2021). We also showed that JAK/STAT pathway mutational status could impact RUX activity. Here, we report results on the 15 first patients who were treated with RUX and VEN oral combination for T-PLL. All patients were refractory to, or ineligible for alemtuzumab, the principal therapeutic option to date. Methods: In this multicenter retrospective study from the French Innovative Leukemia Organization, 15 patients with T-PLL (according to consensus criteria) were included. All patients were informed about the off-label use of this combination and provided informed consent. Patients received a maximum dose of RUX 15 mg twice daily, and VEN 800 mg daily. VEN was started with daily ramp-up from 20 mg to 800 mg over 6 days, with TLS prophylaxis (rasburicase and IV hydration). Responses were assessed by consensus criteria. Next generation sequencing (NGS) was performed using a custom-designed panel of 33 genes, including among others: ATM, TP53, IL2R, JAK1, JAK3, and STAT5B. CytoScan HD microarray (Affymetrix) were used to study copy number variation and or uniparental disomy. In vivo dynamic BH3 profiling (DBP) was performed on samples obtained from two patients on treatment. Results: All 15 patients were refractory or relapsing after chemotherapy (mostly bendamustine and pentostatin), except one. They were either refractory to (n=10) or ineligible (n=5) for alemtuzumab (ineligibility was decided by the treating physician based on age and comorbidities). The median age was 70 years (48-88). Within a week of starting RUX, a transient increase of the absolute lymphocyte count was observed in 66.6% of the patients. Based on the molecular status of the JAK/STAT pathway, we established 2 groups of patients. One with samples where no mutations were found (WT, n=3), and one with at least one mutation in the JAK/STAT pathway (MUT, n=12). The overall response rate (ORR) was 73.3%, with only partial responses. Five patients nearly fulfilled CR criteria except that they had persistent lymphocytosis (over 4 x 10 9/L), all of them were in the MUT group. ORR was 83.3% in the MUT group, and only one patient of the WT group obtained a PR. With a median follow-up of 73 days (22 to 368), the median progression free survival was significantly shorter in the WT group in comparison to the MUT group (1.8 months versus 5.6 months, p=0.04, Figure). Of note, four patients were treated with VEN monotherapy before the start of the combination with RUX. With that treatment, 3 of these patients achieved stable disease followed by progression within 2 to 3 months, while 1 was primary refractory to VEN monotherapy. The most frequent reported adverse events (AEs) of the RUX plus VEN combination were cytopenias, with 46.6% grade 3 or 4 thrombocytopenia and 40% grade 3 or 4 neutropenia. DBP showed that overall priming and BCL2 dependence increased in vivo (n=2) during the treatment with RUX and VEN. Finally, SNP arrays identified clonal evolution in the 3 patients evaluated sequentially (before treatment versus at progression). In one case, emergence of EZH2 and JAK1 mutation was also observed at progression using NGS. Conclusions: These preliminary results suggest promising activity of RUX plus VEN in T-PLL, and justify the development of a prospective clinical trial of this combination. Our data seem to show that this combination may be especially active for patients with JAK/STAT pathway activating mutations and that disease progression is associated with clonal evolution. Updated results will be presented at the meeting. Figure 1 Figure 1. Disclosures Herbaux: Janssen: Honoraria; Roche: Honoraria; Abbvie: Honoraria, Research Funding; Takeda: Honoraria, Research Funding. Lemonnier: Gilead: Other: travel grant; Institut Roche: Research Funding. Laribi: Jansen: Research Funding; AstraZeneca: Other: Personal Fees; Takeda: Other: Personal Fees, Research Funding; Novartis: Other: Personal Fees, Research Funding; Astellas Phama, Inc.: Other: Personal Fees; IQONE: Other: Personal Fees; AbbVie: Other: Personal Fees, Research Funding; Le Mans Hospital: Research Funding; BeiGene: Other: Personal Fees. Moreaux: Diag2Tec: Consultancy. Morschhauser: Janssen: Honoraria; Servier: Consultancy; Incyte: Membership on an entity's Board of Directors or advisory committees; Epizyme: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; AstraZenenca: Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Chugai: Honoraria; Genentech, Inc.: Consultancy; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Speakers Bureau; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Genmab: Membership on an entity's Board of Directors or advisory committees. Davids: Ascentage Pharma: Consultancy, Research Funding; MEI Pharma: Consultancy, Research Funding; Merck: Consultancy; Eli Lilly and Company: Consultancy; Adaptive Biotechnologies: Consultancy; Pharmacyclics: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Research to Practice: Consultancy; BeiGene: Consultancy; Surface Oncology: Research Funding; Verastem: Consultancy, Research Funding; TG Therapeutics: Consultancy, Research Funding; Takeda: Consultancy; Astra-Zeneca: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Celgene: Consultancy; AbbVie: Consultancy; Genentech: Consultancy, Research Funding; Janssen: Consultancy; MEI Pharma: Consultancy. Ysebaert: Abbvie, AstraZeneca, Janssen, Roche: Other: Advisory Board, Research Funding. OffLabel Disclosure: Ruxolitinib and venetoclax are used offlabel for patients refractory to current therapeutic options, based on preclinical data.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 40-41
Author(s):  
Charlotte K Brierley ◽  
Alba Rodriguez-Meira ◽  
Matthew Bashton ◽  
Angela Hamblin ◽  
Rachel S Fletcher ◽  
...  

Advanced phase myeloproliferative neoplasms (AP-MPN) are associated with a very poor prognosis. The Phase Ib PHAZAR study set out to assess the safety & tolerability of oral ruxolitinib (RUX) in combination with 5-azaciditine (AZA) in patients (pts) with advanced-phase-MPN, defined as blast count &gt;10%. The study included an observational arm for pts not suitable for the trial intervention. The clinical results of this study are presented in a separate abstract. Here we evaluate the molecular characteristics of PHAZAR pts and correlate with clinical features, outcome and therapy response. Driver mutation (JAK2/CALR/MPL) allele burdens were quantified using targeted next-generation sequencing (NGS) and non-driver mutation analysis was performed using an ISO accredited Illumina TruSeq Custom Amplicon Panel, including 32 gene mutation hotspots & exons (~36,000 bp, 287 amplicons). SNP karyotyping was performed using the Illumina InfiniumOmniExpress-24v1-3 BeadChip assay. Data analysis was performed using R v4.0. Clinical data were censored in February 2020, and NGS sequencing data were available for 24 interventional trial and 13 observational cohort participants. 11/13 observational pts received best supportive care, while 2/13 were treated with high-dose chemotherapy. All pts had a mutation in ≥1 targeted gene. 16% of pts were 'triple-negative' for MPN driver mutations, while 59%, 16% & 8% carried canonical mutations in JAK2, CALR & MPL respectively. 89% carried additional non-driver mutations, with a median of 2 (range 0-4) detected per pt (Fig 1A). Mutations in epigenetic regulators were detected in 21/37 pts (57%) (TET2, 38%; EZH2, 19%; ASXL1, 14%; PHF6, 5%; SETBP1, 3%) while 8/37 (22%) carried mutually exclusive spliceosomal mutations (SRSF2, 8%; U2AF1, 8%; SF3B1, 5%). 10/37 (27%) were TP53 mutant. High molecular risk (HMR) mutations (ASXL1, EZH2, IDH1/2, SRSF2, TP53, U2AF1 Q157) were detected in 24/37 (65%), and &gt;1 HMR mutation in 7/37 (19%). SNP karyotyping data were available for 42 pts (n=29 interventional, n=13 observational). 4/42 (10%) were wild-type, while 90% harboured &gt;=1 chromosomal aberrations (median 4, range 0-16). Of these, 21 were recurrent in 3+ samples. 9 frequently recurrent events in &gt;=5 samples included gains at 1q, 3q26, 17q21and losses of 5q, 6q12, 17p13, 19q13, 20q, and multiple losses and gains on chromosome 21q. 5 pts demonstrated evidence of chromothripsis. The presence of TP53 mutation was associated with a higher number of chromosomal aberrations (median of 3 vs 6.5, p=0.02). Concerning clinical correlation, baseline driver mutation status did not impact on OS nor likelihood of achieving a durable response (DR, defined as having achieved a minimum of 6 months of complete or partial remission or stable disease as per published criteria (Cheson Blood 2006, Mascarenhas Leuk Res 2012)). The presence of &gt;=3 additional mutations significantly impaired OS regardless of trial arm (1 yr OS 12% vs 55%, p=0.02), as did the presence of HMR mutations (1 yr OS 22% vs 73%, p=0.008) and TP53 mutations in isolation (1 yr OS 13% vs 55%, p=0.05). The presence of HMR mutations reduced the likelihood of achieving a DR (p=0.02). Pts with losses of &gt;=1 chromosomal arms (other than 5q-) had a poor prognosis (1yr OS 27% vs 58%, p=0.05), while no pt with chromothripsis (n=5) survived to a year (1yr OS 0% vs 53%, p=0.002). Mutational profiling of serial samples on therapy were available for 5 pts who achieved a remission during AZA and RUX therapy. One pt achieved a CMR but developed clonal evolution and emergence of a new ETV6 mutant clone at relapse. The other 4 cases demonstrated no change in clonal abundance during remission. This supports the hypothesis that response to AZA is mediated by alteration of subclonal contributions or prevention of further clonal evolution, rather than elimination of founder clones. AP-MPN continues to confer a very poor prognosis and more effective therapies are urgently required. Genetic and molecular profiling of this prospective trial cohort demonstrates the high mutational burden and structural variants seen in this disease. Initial serial sample profiling demonstrates that molecular responses to AZA and RUX are rare and, where they occur, are not sustained. Incorporation of molecular profiling into trial design may help inform which patients are more likely to benefit from the intervention - e.g. those without evidence of chromothripsis at trial entry. Disclosures Harrison: Gilead Sciences: Honoraria, Speakers Bureau; CTI Biopharma Corp: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding, Speakers Bureau; Janssen: Speakers Bureau; Incyte Corporation: Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Shire: Honoraria, Speakers Bureau; AOP Orphan Pharmaceuticals: Honoraria; Promedior: Honoraria; Roche: Honoraria; Sierra Oncology: Honoraria. Drummond:Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Blueprint Medicine Corporation: Research Funding. Knapper:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Mead:Gilead: Consultancy; CTI: Consultancy; Abbvie: Consultancy; Celgene/BMS: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2683-2683
Author(s):  
John R Jones ◽  
Charlotte Pawlyn ◽  
Niels Weinhold ◽  
Timothy Cody Ashby ◽  
Brian A Walker ◽  
...  

Abstract Introduction In Multiple Myeloma (MM) the emergence of treatment resistant clones is a characteristic feature of relapse and this is particularly so for high-risk cases. A key driver event mediating progression, risk status and relapse is gain(1q) (1q+). We report on the impact of 1q+ on the genetic profile seen at first relapse in a uniformly treated, newly diagnosed series of 56 patients enrolled to the NCRI Myeloma XI Trial. Methods We included 56 high risk patients, defined as relapse within 30 months of maintenance randomisation (median 19 months, range 8-51). Of the 56 patients, 30 received lenalidomide maintenance and 26 were observed. Whole exome sequencing was conducted at presentation and relapse to a median depth of 122x for tumour samples and 58x for controls. Libraries were prepared using the SureSelectQXT sample prep kit and SureSelect Clinical Research Exome kit. MuTect was used to determine gene variants and SciClone clustering was undertaken to map mutation variant allele frequencies. MANTA was used to determine translocations and Sequenza for copy number aberrations. Clonal structure and mechanisms of clonal evolution were assessed using kernel density estimation of the cancer clonal fraction for all mutations. Wilcoxon matched-pairs signed rank tests (2-sided) were used to determine the significance between paired data sets, including mutational load. Fishers exact test was used to determine the difference between two nominal variables. Results We looked at mutational, structural and clonal evolution events in all patients based on 1q+ status at relapse. At diagnosis, 34% (19/56) patients had evidence of 1q+, increasing to 46% (26/56) at relapse, with all patients harbouring 1q+ at presentation having the lesion at relapse. There was a significantly higher non-synonymous mutational load at relapse in patients with 1q+, 107 vs 126 (p=0.047), compared to those without 1q+, 36 vs 44 (p=0.140). Twenty two genes known to be significant in MM and mutations within the genes known to be important in IMiD mechanism of action were reviewed. Of the patients with 1q+, 92% (24/26) had at least one mutation during the course of the disease, compared to 77% in those without 1q+ (p=0.15). The impact on tumour suppressor gene regions including deletions of chromosome 1p, 13, 14 and 17p was analyzed. Of the patients with 1q+, 77% (20/26) of patients had a deletion of one of these regions during the disease course, compared to 57% (17/30) of patients without 1q+ (p=0.16). At relapse a change in the profile of these lesions was noted in 23% (6/26) patients with 1q+, compared to 20% (6/30) patients without 1q+ (p=1). Translocations involving MYC (t MYC) were also determined and found in 27% (7/26) of patients with 1q+ and 27% (8/30) of patients without (p=1). As with 1q+, t MYC was always preserved at relapse. Mechanisms of evolution leading to relapse were established for all patients. Branching and linear evolution predominated, noted to be the mechanism leading to relapse in 88% (23/26) patients with 1q+ and 83% (25/30) without (p0.71). Stable evolution was noted in the remaining patients. 1q+ occurring as a new event at relapse was associated with branching or linear evolution in all patients (n=7), consistent with a change in clonal structure. Conclusion These data reveal that 1q+ is conserved throughout the disease course, suggesting it imparts a survival advantage and treatment resistant phenotype to the clone(s) containing it. The presence of 1q+ is associated with a significant increase in mutational load at relapse and a greater incidence of tumour suppressor gene structural deletions, mechanisms that may contribute to clonal evolution and therapeutic escape. Disclosures Jones: BMS/Celgene: Other: Conference fees; Janssen: Honoraria. Pawlyn: Celgene / BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees. Weinhold: Sanofi: Honoraria. Walker: Sanofi: Speakers Bureau; Bristol Myers Squibb: Research Funding. Cairns: Merck Sharpe and Dohme: Research Funding; Amgen: Research Funding; Takeda: Research Funding; Celgene / BMS: Other: travel support, Research Funding. Kaiser: AbbVie: Consultancy; Seattle Genetics: Consultancy; BMS/Celgene: Consultancy, Other: Travel support, Research Funding; Amgen: Honoraria; Karyopharm: Consultancy, Research Funding; Pfizer: Consultancy; Janssen: Consultancy, Other: Educational support, Research Funding; GSK: Consultancy; Takeda: Consultancy, Other: Educational support. Cook: Pfizer: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria. Drayson: Abingdon Health: Current holder of individual stocks in a privately-held company. Jackson: oncopeptides: Consultancy; takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; GSK: Consultancy, Honoraria, Speakers Bureau; J and J: Consultancy, Honoraria, Speakers Bureau; celgene BMS: Consultancy, Honoraria, Research Funding, Speakers Bureau; amgen: Consultancy, Honoraria, Speakers Bureau; Sanofi: Honoraria, Speakers Bureau. Davies: BMS: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Roche: Consultancy, Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3605-3605
Author(s):  
Esteban Braggio ◽  
Neil E. Kay ◽  
Scott Van Wier ◽  
Stephanie Smoley ◽  
Jeanette Eckel-Passow ◽  
...  

Abstract Abstract 3605 CLL is a malignant B-cell disorder characterized by the accumulation of small B lymphocytes with a mature appearance in blood, marrow and lymph nodes. Despite effective treatment options, all patients with CLL will eventually relapse after therapy. This could be due in part to the presence of subclones of the CLL cell population that harbor genetic abnormalities, which confer resistance to treatment. The aims of this study were to investigate the clonal evolution in longitudinal samples of CLL patients and to identify genetic alterations associated with disease progression and resistance to therapy. Sequential analyses were performed in 51 samples from 23 patients who were included in a previously reported clinical trial of pentostatin, cyclophosphamide and rituximab (PCR) given every 3 weeks for 6 cycles in previously untreated CLL (Blood 109:2007). In all cases the first sample analyzed was prior to therapy. In 5 of 23 patients, three time points were analyzed: >6 months prior to entry onto PCR trial (time point A), just before starting with the PCR regimen (time point B), and the time of relapse after PCR trial (time point C). Seven patients were analyzed at time points A and B; 9 at time points B and C and 2 at time points A and C. The median time between points A and B was 17.5 months (range 8–48 months) and between points B and C was 20.5 months (7–60 m). All samples were examined by array-based comparative genomic hybridization (aCGH) using the Agilent Sureprint G3 (1 million probe) array. aCGH findings were confirmed by interphase FISH using probes for D13S319 (MIR16–1/MIR15A), RB1, MDM2, CEP12, CEP6, MYB, TP53, NFKBIA, PERP and FGFR1 loci. Overall, we observed a small increase in the number of copy-number abnormalities (CNA) with disease progression. Twenty-two of the 23 patients with paired samples harbored at least one CNA that persisted in all samples, indicating clonal relationship between the sequential samples. In 15 of the 23 patients the tumor clone was stable and no CNA differences between time points were identified. Conversely, genomic evolution was found in 8 patients. In 3 cases the genetic differences were observed pre treatment (between time points A and B) and in the other 5 cases, the observed changes were found after therapy (between time points A and C or between B and C). One remarkable case with genome evolution exhibited two subclones sharing trisomies 12 and 19, but with several unique CNA confined to each subclone. The first subclone was characterized by deletions of 6q, RB1, MIR16-1/MIR15A and 3 other losses, while the second subclone showed homozygous deletion of MIR16–1/MIR15A and 5 other monoallelic deletions. The first subclone was predominant at time points A and B (60–70% of cells), but was present in only 10–20% of cells at time point C as confirmed by FISH. Conversely, the second subclone was observed in ~20% of cells at time points A and B and became predominant after therapy, found in ~80% of cells at time point C. Another case was characterized by deletion 11q32 (including ATM and others) as the sole abnormality at time point B. Significant genomic complexity was observed at time point C, including deletions of 11q32, 9p21 (CDKN2A), 9q12-q33, 14q13.2 (NFKBIA) and 17p (TP53), and gains of 2p16 (REL) and 9q34. Interestingly, the deletion 11q32 from both time points arose independently at each time point, as they exhibited different chromosomal breakpoints and copy number variants. Moreover, the other CNA found at relapse were not identified at diagnosis (confirmed by aCGH and FISH). For evolution of specific CNA, trisomy 12 was found in 5 cases at the first sample analyzed and was stable with no changes between time points. The frequency of deletions 13q14.3 (MIR16-1/MIR15A) and 17p increased at the later time points. Conversely, –6q decreased in frequency across time points (3 cases in time points A–B and 1 case in time point C). In summary, at least 35% of CLL patients exhibited clonal evolution and at least 9% showed evidence of multiple subclones. This subgroup of CLL patients provides an exceptional framework for comprehensive analysis of genome evolution during disease progression before and after therapy. Our observations also support the hypothesis of a common CLL progenitor cell can give rise to clonally related, but genetically evolving subpopulations of tumor cells. Finally, this study may bring novel information regarding the drug resistance pathways utilized by CLL B cell clones post therapy. Disclosures: Kipps: GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Genzyme: Research Funding; Memgen: Research Funding; Igenica: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi Aventis: Research Funding; Abbott Laboratories: Research Funding. Fonseca:Genzyme: Consultancy; Medtronic: Consultancy; BMS: Consultancy; AMGEN: Consultancy; Otsuka: Consultancy; Celgene: Consultancy, Research Funding; Intellikine: Consultancy; Cylene: Research Funding; Onyx: Research Funding; FISH probes prognostication in myeloma: Patents & Royalties.


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