scholarly journals Characteristics of Different Splicing Factor Mutation Hotspots in Myelofibrosis

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 37-37
Author(s):  
Franco Castillo Tokumori ◽  
Chetasi Talati ◽  
Najla E. Al Ali ◽  
David A. Sallman ◽  
Seongseok Yun ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Splicing Factor ◽  
World Health ◽  
Severe Thrombocytopenia ◽  
Leukemic Transformation ◽  
Advisory Committees ◽  
Splicing Mutations ◽  
The Impact

CONTEXT: Splicing factor mutations (SRSF2, U2AF1, SF3B1, and ZRSR2) are present in ~50% of myelofibrosis (MF) patients. SRSF2 and U2AF1 Q157 are considered to be high-risk mutations, while the prognostic significance of ZRSR2 and SF3B1 has not been well established. As a group, splicing mutations are associated with cytopenias, the management of which is an area of unmet clinical need in MF. OBJECTIVE: To describe the clinical characteristics, treatment approaches, and outcomes in MF patients with splicing mutations. DESIGN: This is a single-institution, retrospective analysis of 133 MF patients with splicing mutations who presented to our institution between 2006 and 2019. PMF, post-ET MF, and post-PV MF were defined according to the World Health Organization and International Working Group criteria, respectively. Baseline variables were compared between patients harboring different splicing factor mutations and different mutations within the same splicing gene. Median overall survival (OS) was measured from time of diagnosis to date of death or censored at last follow up or date of transplant. Kaplan-Meier plots were created to compare LFS and OS among treatment cohorts, and differences were assessed using Log-rank tests. RESULTS: Among 133 MF patients with a splicing mutation, SRSF2 mutations were most common (n = 48), followed by U2AF1 (n = 36), SF3B1 (n = 27) and ZRSR2 mutations (n = 24). Most SRSF2 mutations occurred at P95 (90%). Thirty (83%) U2AF1 mutations occurred at Q157, with 5 (14%) at S34. Fourteen (63%) SF3B1 mutations occurred K666, with 9 (33%) at K700. Thirteen (54%) ZRSR2 mutations were in-frame insertions/deletions, 4 (17%) frameshift mutations, 3 (13%) nonsense mutations and 4 (17%) missense. All frameshift/nonsense ZRSR2 mutations occurred in males. Spliceosome mutations were mutually exclusive but for 2 cases (one had U2AF1 and SRSF2 mutations and the other had SF3B1 and ZRSR2 mutations). Baseline characteristics were similar between splicing mutations. The presence of a U2AF1 mutation correlated with lower hemoglobin (p 0.018) and U2AF1 Q157 mutations were associated with thrombocytopenia p=0.051) and higher DIPSS-plus scores (p=0.006). Severe thrombocytopenia (platelets < 50 x 109/L) was present in 20 (17%) patients and enriched in those with U2AF1 mutations (n = 9). ASXL1 mutations rarely occurred in conjunction with SF3B1 mutations (p = 0.007). Among all patients with splicing mutations, median OS was 60.6 months. Median OS was decreased in patients with SRSF2 mutations (33 vs 106 months, p=0.001) compared to those with other splicing mutations. Median OS was increased in patients with SF3B1 mutations compared to patients with other splicing mutations (181 mo vs 42 mo, p = 0.002). Median OS for patients with U2AF1 and ZRSR2 mutations was 44 and 106 months, respectively. Among patients with U2AF1 mutations, the presence of severe thrombocytopenia was associated with inferior survival (13.9 mo vs not reached, p = 0.045). The presence of an SRSF2 mutation was associated with an increased risk of leukemic transformation (24% vs 3%, p = 0.002). Among patients with SRSF2 mutations, median OS in those with documented leukemic transformation was 32.9 mo compared to 48.7 mo in those without (p = 0.17). CONCLUSIONS: Splicing mutations in MF have unique phenotypic and prognostic correlations. While SRSF2 mutations appear detrimental, SF3B1 mutations correlate with favorable outcomes. While U2AF1 and SRSF2 mutations are considered high-risk in MF, the impact appears driven by cytopenias in the former and leukemic transformation in the latter. This may hold relevance when considering therapeutic approaches in these patients. Disclosures Talati: AbbVie: Honoraria; Jazz: Speakers Bureau; Astellas: Speakers Bureau; BMS: Honoraria; Pfizer: Honoraria. Sallman:Celgene, Jazz Pharma: Research Funding; Agios, Bristol Myers Squibb, Celyad Oncology, Incyte, Intellia Therapeutics, Kite Pharma, Novartis, Syndax: Consultancy. Sweet:Takeda: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Incyte: Research Funding; Stemline: Honoraria; Agios: Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria. Padron:Incyte: Research Funding; Kura: Research Funding; BMS: Research Funding; Novartis: Honoraria. Lancet:Abbvie: Consultancy; Agios Pharmaceuticals: Consultancy, Honoraria; Astellas Pharma: Consultancy; Celgene: Consultancy, Research Funding; Daiichi Sankyo: Consultancy; ElevateBio Management: Consultancy; Jazz Pharmaceuticals: Consultancy; Pfizer: Consultancy. Komrokji:Geron: Honoraria; Novartis: Honoraria; Acceleron: Honoraria; Incyte: Honoraria; Abbvie: Honoraria; Agios: Speakers Bureau; BMS: Honoraria, Speakers Bureau; Jazz: Honoraria, Speakers Bureau. Kuykendall:Blueprint Medicines: Research Funding; BMS: Research Funding; Incyte: Research Funding; Novartis: Research Funding.

scholarly journals Efficacy and Safety of Once Weekly Bortezomib In Multiple Myeloma Patients

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3029-3029 ◽  
Author(s):  
Sara Bringhen ◽  
Alessandra Larocca ◽  
Davide Rossi ◽  
Alessandra Romano ◽  
Mariella Genuardi ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Severe Thrombocytopenia ◽  
Weekly Schedule ◽  
Efficacy And Safety ◽  
Advisory Committees ◽  
Grade 3 ◽  
The Impact ◽  
Weekly Group ◽  
Dose Reductions

Abstract Abstract 3029 Background. In a recent phase 3 trial, bortezomib–melphalan – prednisone–thalidomide followed by maintenance treatment with bortezomib–thalidomide (VMPT-VT) demonstrated superior efficacy compared with VMP. Peripheral neuropathy (PN) was the most important dose limiting toxicity. To decrease neurologic toxicities, the protocol was amended and patients in both arms received once-weekly instead of the initial twice-weekly bortezomib infusions. This post-hoc analysis assessed the impact of bortezomib dose-modification schedule on clinical outcomes and safety. Methods. Patients (N=511) older than 65 years were randomized to receive nine 6-week cycles of VMPT-VT (N=254; induction:V 1.3 mg/m2, d 1, 4, 8, 11, 22, 25, 29, 32, cycles 1–4, d 1, 8, 22, 29, cycles 5–9; M 9 mg/m2 d 1–4, P 60 mg/m2, d 1–4, T 50 mg d 1–42; maintenance: V 1.3 mg/m2 every 14 days and T 50 mg/day) or VMP (N=257) alone. In March 2007, the protocol was amended: both VMPT-VT and VMP induction schedules were changed to nine 5-week cycles and bortezomib schedule was modified to weekly administration (1.3 mg/m2 d 1,8,15,22, all cycles). Patients receiving VMPT-VT and VMP were pooled together and stratified according to the once-weekly or twice-weekly infusion modality; analyses were also conducted for patients receiving VMP only, to eliminate the influence of thalidomide and of maintenance on efficacy and safety. Results. Patients were evaluated in intention-to-treat: 372 patients received once-weekly and 139 twice-weekly bortezomib infusion. Patient characteristics were similar in the two groups, median age was 71 years. The efficacy data did not appear to be affected by the bortezomib schedule. Overall response rates were 85% with once weekly and 86% with twice- weekly schedule (P = .78), including CR rates of 30% and 35% (P = .27).Three-year PFS was 50% in the once-weekly and 47% in the twice-weekly group (P = 1.00), and 3-year OS was 88% and 89%, respectively (P = .54). Similar outcome was seen in the analyses restricted to VMP patients: CR rates were 23% with once-weekly and 27% with twice-weekly schedule (P = .54), 3-years PFS was 46% in once-weekly and 39% (P = .86) in twice-weekly group and 3-years OS was 87% and 89% (P = .47), respectively. The incidence of grade 3/4 hematologic toxicity was similar in the two groups (44% vs 45%, P = .83), but severe thrombocytopenia was slightly less common in the once-weekly patients (19% vs 26%, P = .08).The incidence of non-hematologic grade 3/4 adverse events was significantly reduced in the once-weekly: 35% vs 51% (P = .003). Grade 3/4 gastrointestinal events (6% vs 11%, P = .08), severe systemic events (4% vs 7%, P = .09) and grade 3/4 dermatologic events (2% vs 7%, P = .006) were less frequent in patients receiving once-weekly bortezomib. There was a significantly reduced overall incidence of grade 3/4 PN (8% vs 28%, P < .001) in the once-weekly group. The median time to onset of grade 3/4 sensory PN was 4.3 months in the once-weekly group and 3.2 months in the twice-weekly group (P = .10). The cumulative incidence of sensory PN appeared to plateau after 12 months of therapy in both groups. Rates of discontinuations (5% versus 15%) and dose reductions (15% versus 41%) due to PN were also significantly lower in the once-weekly group (P < .001). These results were reflected in analysis restricted to VMP patients, in which the incidence of grade 3/4 PN (7% vs 29%, P < .001), the discontinuation rate (4% vs 16%, P = 0.002), and the dose reductions rate (15% vs 41% P < 0.001) were significantly lower in once-weekly group. Despite the cumulative planned dose being lower in the once-weekly group (46.8 vs 67.6 mg/m2), the delivered cumulative dose of bortezomib was similar in the two groups (39.4 mg/m2 vs 40.1 mg/m2). No association of PN with age or other baseline characteristics was outlined. The only significant factor influencing the incidence of PN was the reduction of bortezomib infusion from twice- to once-weekly (p<0.001). Low dose thalidomide did not affect grade 3/4 PN rate (p=0.16). Conclusion. These results demonstrate that 1. both once-weekly and twice-weekly schedules in combination with MP ± thalidomide are highly effective in patients ≥ 65 years; 2. once-weekly schedule significantly reduced the incidence of PN and decreased the rate of discontinuation, resulting in similar cumulative bortezomib doses in the two groups; 3. the improvement in the safety profile was not associated with any reduction in the efficacy. Disclosures: Bringhen: Celgene: Honoraria; Janssen Cilag: Honoraria. Leoni:Celgene: Honoraria; Janssen Cilag: Honoraria. Patriarca:Celgene: Honoraria; Janssen Cilag: Honoraria; Roche: Honoraria; Merck: Membership on an entity's Board of Directors or advisory committees. Guglielmelli:Celgene: Honoraria; Janssen Cilag: Honoraria. Elice:Celgene: Honoraria; Novatis: Honoraria. Boccadoro:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Palumbo:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees.

scholarly journals The Impact of gain1q on Mutational Structure and Clonal Evolution in a Uniformly Treated High-Risk Series of Patients at First Relapse

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2683-2683
Author(s):  
John R Jones ◽  
Charlotte Pawlyn ◽  
Niels Weinhold ◽  
Timothy Cody Ashby ◽  
Brian A Walker ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Clonal Evolution ◽  
Suppressor Gene ◽  
Tumour Suppressor Gene ◽  
Mutational Load ◽  
Advisory Committees ◽  
The Impact ◽  
Support Research

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.

Prognostic Impact of Bone Marrow Fibrosis in Primary Myelofibrosis: A Study of Agimm Group on 540 Patients

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 351-351 ◽  
Author(s):  
Paola Guglielmelli ◽  
Giada Rotunno ◽  
Annalisa Pacilli ◽  
Elisa Rumi ◽  
Vittorio Rosti ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Multivariate Analysis ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Primary Myelofibrosis ◽  
Driver Mutations ◽  
Prognostic Impact ◽  
Advisory Committees ◽  
The Impact

Abstract Background. The prognostic significance of bone marrow (BM) fibrosis grade in pts with primary myelofibrosis (PMF) is debated. A fibrosis grade greater than 1 was associated with a 2-fold higher risk of death compared with pts with early/prefibrotic MF (grade 0) [Thiele J, Ann Hematol 2006]. Recent data suggest that more accurate prediction of survival is achieved when fibrosis grade is added to IPSS [Verner C, Blood 2008; Giannelli U, Mod Pathol 2012]. Aim. To analyze the prognostic impact of fibrosis in diagnostic BM samples of 540 WHO-2008 diagnosed PMF pts with extensive clinical and molecular information collected in 6 Italian centers belonging to AGIMM (AIRC-Gruppo Italiano Malattie Mieloproliferative). Methods. The clinical variables assessed were those previously identified as prognostically relevant in the IPSS score. Published methods were used to screen mutations of JAK2, MPL, CALR, EZH2, ASXL1, IDH1/2 and SRSF2. European consensus scoring system was used to grade fibrosis (on a scale of MF-0 to MF-3). The prognostic value of fibrosis with regard to overall survival (OS) was estimated by Kaplan-Meier method and Cox regression. Results. Pts' median age was 61y; median follow-up 3.7y; median OS 10.5y; 184 pts (34.1%) died. IPSS risk category: low 33.7%, Int-1 27.7%, Int-2 19.1%, High-risk 19.5%. Mutational rate: JAK2 V617F 62.6%, CALR 20.7% (type-1/1-like 77.7%, type2/2-like-2 21.4%), MPL W515 5.9%; 62 (11.5%) were triple negative (TN). 171 pts (31.7%) were High-Molecular Risk (HMR) category (Vannucchi AM, Leukemia 2013); mutation rate: EZH2 7.2%, ASXL1 22.2%, IDH1-2 2.4%, SRSF2 8.3%. According to fibrosis grading, 50 pts were MF-0 (9.3%), 180 MF-1 (33.3%), 196 MF-2 (36.3%), 114 MF-3 (21.1%). Compared with both MF-0 and MF-1, MF-2 and MF-3 pts presented more frequently constitutional symptoms (P<.0001), larger splenomegaly (P<.0001), greater risk of developing anemia (P<.0001) or thrombocytopenia (P=.003). We found a significant association (P<.0001) between IPSS higher/Int-2 risk categories and MF-2 and -3 (20.5% and 37.8%, respectively, vs 14.8% and 6.0% for MF-0 and -1). There was no correlation between fibrosis grade and phenotypic driver mutations; in particular, TN pts were equally distributed among MF fibrosis grades (10%, 10.6%, 14.3% and 8.8% from MF-0 to -3, respectively). Conversely, the frequency of HMR pts increased progressively according to fibrosis grade: 8 pts MF-0 (16%), 46 MF-1 (25.6%), 66 MF-2 (33.7%) and 51 MF-3 (44.7%) (P<.0001). In particular, we found a significant association between fibrosis grade and ASXL1 (12%, 15%, 23.5% and 36% from MF-0 to -3; P<.0001) and EZH2 (2%, 3.9%, 8.2%, 13.2%; P=.01) mutations. Also, pts with 2 or more HMR mutated genes were preferentially MF-2 or -3 ( 0%, 4.4% 10.2% and 10.5% from MF-0 to -3; P=.001). Median OS was significantly shorter in pts with MF-2 (OS 6.7y, HR 7.3, IC95% 2.7-20.0; P<.0001) and MF-3 (OS 7.2y, HR 8.7, IC95% 3.1-24.2; P<.0001) compared with MF-1 (14.7y; HR 3.9, IC95% 1.4-10.9, P=.008) and MF-0 (P<.0001) used as reference group (OS not reached) (Figure). Excluding MF-0, MF-2 and -3 maintained negative prognostic impact with HR 1.9 (1.3-2.6; P=.001) and 2.2 (1.5-3.3; P<.0001) respectively vs MF-1. The impact of fibrosis on OS was maintained when analysis was restricted to younger (≤65y) pts. In multivariate analysis using the individual IPSS variables, grade MF-2 and -3 were independently predictive of survival (HR 3.9 (1.4-10.8), and HR 4.2 (1.5-12.0), respectively, P=.008 for both). The negative impact on survival of MF-2/-3 was maintained regardless of IPSS category, HMR status, number of HMR mutated genes and driver mutations, included as covariates (Table). In low, Int-1 and Int-2, but not high-risk IPSS categories, MF-2/-3 associated with reduced survival (P<.03). Conclusions. Overall, these results indicate that higher grades (MF-2 and MF-3) of fibrosis correlate with defined clinical and molecular variables and independently negatively impact on OS in PMF, suggesting the opportunity to explore its value in the setting of clinical and molecular prognostic scores for PMF. Table. Multivariate Analysis Variables HR 95% CI P value HMR status 2.4 1.5-3.7 <.0001 HMR≥2mutations 4.3 2.8-6.4 .009 IPSS scoring Int1 2.9 1.6-5.1 <.0001 Int2 10.0 5.6-17.7 <.0001 High 9.7 5.5-17.2 <.0001 Driver mutations CALR type2 3.4 1.3-8.6 .010 JAK2/MPL 2.4 1.4-4.3 .003 TN 4.5 2.3-8.8 <.0001 Fibrosis MF-2/MF-3 3.8 1.4-10.6 .010 Figure 1. Figure 1. Disclosures Passamonti: Novartis: Consultancy, Honoraria, Speakers Bureau. Barbui:Novartis: Speakers Bureau. Vannucchi:Shire: Speakers Bureau; Novartis: Other: Research Funding paid to institution (University of Florence), Research Funding; Baxalta: 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.

scholarly journals Genetic Alterations at Diagnosis Predict Outcome of AML Patients Age 60 or Older Undergoing Allogeneic Transplantation in First Remission

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 48-48 ◽  
Author(s):  
H. Moses Murdock ◽  
Haesook T. Kim ◽  
Bryan Hambley ◽  
Pankit Vachhani ◽  
Nathan Denlinger ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Genetic Risk ◽  
Research Funding ◽  
Gene Mutations ◽  
Genetic Alterations ◽  
Advisory Committees ◽  
Genetic Characteristics ◽  
The Impact ◽  
Advisory Role

Background: Older age is associated with inferior outcomes after allogeneic hematopoietic stem cell transplantation (HSCT) for acute myeloid leukemia (AML). High risk genetic characteristics are common among older patients and linked to poor outcomes in the non-transplant setting. An enhanced understanding of genetic risk may thus provide a basis for improving transplant outcomes in these patients. We evaluated the impact of leukemia genetic characteristics at diagnosis on HSCT outcomes in a multi-center cohort of AML patients age 60 or older receiving HSCT in first complete remission (CR1). Methods: We performed targeted sequencing of 112 genes on diagnostic leukemia samples from 257 patients with AML age 60 or older who received allogeneic HSCT in CR1 at 5 US transplant centers. Median age at diagnosis and HSCT were 65 (range 59-76) and 66 (range 60-76), respectively. 31% had clinically defined secondary AML, 11% had therapy-related AML, and 23% had adverse cytogenetics by 2017 ELN classification. Most (84%) were treated with anthracycline-based induction chemotherapy, while 16% received non-intensive induction. Conditioning was either reduced-intensity or non-myeloablative in 94% of patients. Median follow-up for survivors was 3.7 years; 3-year overall survival (OS) and leukemia-free survival (LFS) were 48% and 44%, respectively. Results: All patients had recurrent genetic alterations at the time of diagnosis, including 251 (98%) with gene mutations and 6 with only cytogenetic abnormalities. The most frequent gene mutations were DNMT3A (25%), NPM1 (23%), FLT3-ITD (22%), ASXL1 (21%), TET2 (21%), RUNX1 (20%), and SRSF2 (18%). Secondary-type mutations associated with antecedent MDS occurred in 42%, and 10% had TP53 mutations. As expected, secondary-type and TP53 mutations were associated with clinically-defined secondary AML (p&lt;0.001), need for reinduction (p=0.03), and CR with incomplete count recovery (p= 0.03). Despite the older age at leukemia diagnosis, putative germline pathogenic variants were identified in 22 (8.6%) patients, including 17 (6.6%) with DDX41 mutations (13/17 with somatic mutation of the second allele), and 5 with TERT or TERC variants not found in population databases. We evaluated the impact of gene mutations on LFS using univariable and multivariable Cox models and developed a hierarchical model of 3 molecular genetic risk groups according to the hazard ratios (Fig 1A): (1) patients with TP53 mutation or JAK2 mutation or FLT3-ITD/NPM1-WT (high risk), (2) patients without high risk mutations who have DNMT3A or GATA2 or DDX41 mutations (low risk) (3) patients without high- or low-risk mutations (intermediate risk), with 3-year LFS of 8%, 65%, and 47% (p&lt;0.001), respectively. Next, we combined molecular genetic and cytogenetic risk to derive a final genetic model comprised of 4 groups with distinct 3-year LFS (69%, 50%, 27%, and 0%) (Fig 1B). Poor LFS in the very high-risk group was due almost entirely to relapse (3-year relapse rate &gt; 90%), but was driven by a combination of relapse and non-relapse mortality in the intermediate and high-risk groups (Fig 2). Conclusion: Genetic characteristics at diagnosis are highly associated with OS and LFS in AML patients age 60 or older who undergo allogeneic transplantation in CR1. We identify patients with low genetic risk and remarkably good outcomes who may be candidates for strategies aimed at reducing toxicity, and those with very high-risk genetics who have limited benefit from current transplant approaches. Among intermediate and high-risk patients, the impact of disease genetics on LFS is mostly due to relapse, suggesting that a model incorporating measurement of residual disease in CR1 and after transplantation could enable a more dynamic estimation of risk. Disclosures Perales: Bristol-Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Nektar Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Omeros: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bellicum: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; NexImmune: Membership on an entity's Board of Directors or advisory committees; MolMed: Membership on an entity's Board of Directors or advisory committees; Merck: Consultancy, Honoraria; Medigene: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Kyte/Gilead: Research Funding; Miltenyi: Research Funding. Koreth:Equillium: Consultancy; Amgen: Consultancy; Cugene: Consultancy. Ho:Jazz Pharmaceuticals: Consultancy. Soiffer:Mana therapeutic: Consultancy; Kiadis: Other: supervisory board; Juno, kiadis: Membership on an entity's Board of Directors or advisory committees, Other: DSMB; Gilead, Mana therapeutic, Cugene, Jazz: Consultancy; Jazz: Consultancy; Cugene: Consultancy. Carroll:Astellas Pharmaceuticals: Research Funding; Incyte: Research Funding; Janssen Pharmaceuticals: Consultancy. Vasu:Boehringer Ingelheim: Other: Travel support; Seattle Genetics: Other: Clinical trial support. Wang:Abbvie: Other: Advisory role; Kite: Other: Advisory role; Jazz: Other: Advisory role; Astellas: Other: Advisory role, Speakers Bureau; celyad: Other: Advisory role; Pfizer: Other: Advisory role, Speakers Bureau; Stemline: Other: Advisory role, Speakers Bureau; Daiichi: Other: Advisory role; Amgen: Other: Advisory role; Agios: Other: Advisory role. Devine:Kiadis Pharma: Other: Protocol development (via institution); Bristol Myers: Other: Grant for monitoring support & travel support; Magenta Therapeutics: Other: Travel support for advisory board; My employer (National Marrow Donor Program) has equity interest in Magenta. Lindsley:Jazz Pharmaceuticals: Research Funding; Takeda Pharmaceuticals: Consultancy; Medlmmune: Research Funding.

PET-CT Defined Focal Lesions at Baseline and Day 7 Predict Outcome in GEP 70 Defined High Risk Multiple Myeloma Patients

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3407-3407
Author(s):  
Yogesh Jethava ◽  
Rachel Hunter-Merrill ◽  
Gareth J Morgan ◽  
Rashid Z Khan ◽  
Aasiya Matin ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Cox Regression ◽  
Focal Lesions ◽  
Advisory Committees ◽  
Early Therapy ◽  
Time Points ◽  
The Impact

Abstract Introduction: Fluoro-deoxy-glucose (FDG) positron emission tomography (PET) scanning is an important state-of-the-art imaging tool in the initial workup of patients with multiple myeloma (MM). We evaluate the impact of PET focal lesions (FL) at baseline (BL), 7 days after starting induction therapy (D7) and prior to first autologous transplant (pre-ACST) in gene expression profiling (GEP 70) defined high risk (HR) multiple myeloma (MM) patients. Patients and methods: 48 GEP 70 HR MM patients were treated uniformly on IRB approved protocol consisting of tandem transplants with dose reduced Mel-80-VRD-PACE (melphalan, velcade, revlimid, dexamethasone, cisplatin, adreamycin, cyclophosphamide and etoposide) and interspersed Mel-20-VTD-PACE (melphalan, velcade, thalidomide, dexamethasone, cisplatin, adreamycin, cyclophosphamide and etoposide) consolidation and VRD (velcade, revlimid, dexamethasone) maintenance. PET examinations were performed at (BL), D7 and pre-ASCT, enumerating FDG-avid FL, their SUV max and extra-medullary disease (EMD).Of the 48 GEP 70 HR patients, 39 had BL, 28 had D7 and 42 had pre-ASCT PET examinations. 20 patients had examinations at all 3 time points. At BL, there were 24 (50%) patients with B2M >5.5mg/L and 26 (54%) with albumin <3.5g/dL. Metaphase cytogenetic abnormalities were documented in 36 (75%) patients, including deletion 13/hypodiploidy in 30 (63%). EMD was present in 3 (8%) patients, 28 (58%) had diffuse SUV <= 2 (median 2.4; range 1.4 to 9.5) and 14 (29%) had FL max SUV >3.9 (median 4.6; range 1.6 to 14.4). Results: From BL, the 3-yr PFS estimate was 46% for the group with no FL and 29% for those with FL (Figure 1a). The corresponding PFS data for the D7 was 53% for no FL at D7 as opposed to 11% for those with FL (Figure 1b), and for pre-ASCT it was 34% for no FL and 33% for those with FL (Figure 1c). Joint consideration of BL and D7 landmark revealed 3-yr PFS of 54% for those with no FL at BL, compared to 40% for those with resolution of BL FL by D7 and 18% for those whose FL did not resolve (log rank p-value=0.09), confirming the significance of FL resolution. Cox regression of PFS revealed that those with FL at BL had 2.34 times the risk of progression or death compared to those with no FL at BL (p=0.075), while those with FL at D7 had 3.27 times the risk (p=0.033). Diffuse SUV and SUV max had no impact on PFS at the three time points. Figure 1 Figure 1. Figure 2 Figure 2. Figure 3 Figure 3. Fig 1a- PFS from baseline PET Fig 1b- PFS from D7 PET Fig 1c- PFS from pre-ASCT PET Conclusion: The prognosis of GEP 70 HR MM is dominantly affected by BL indicators of MM metabolism, as revealed by FDG uptake in FL. Our analysis in HR GEP70 MM patients confirms that early suppression of FL by D7 was key to improved PFS. MM patients who had absence of FL resolution from BL to D7 had poorer PFS and are candidates for early therapy change. Disclosures Morgan: Celgene Corp: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Myeloma UK: Membership on an entity's Board of Directors or advisory committees; International Myeloma Foundation: Membership on an entity's Board of Directors or advisory committees; The Binding Site: Membership on an entity's Board of Directors or advisory committees; MMRF: Membership on an entity's Board of Directors or advisory committees. Zangari:Norvartis: Membership on an entity's Board of Directors or advisory committees; Onyx: Research Funding; Millennium: Research Funding. van Rhee:Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees.

The Impact of Combination Chemotherapy and Tandem Stem Cell Transplant on Clonal Substructure and Mutational Pattern at Relapse of MM

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 372-372 ◽  
Author(s):  
Christoph Heuck ◽  
Niels Weinhold ◽  
Erich Allen Peterson ◽  
Michael Bauer ◽  
Caleb K. Stein ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Clonal Evolution ◽  
Advisory Board ◽  
Proliferation Index ◽  
University Of Arkansas ◽  
Medical Sciences ◽  
Advisory Committees ◽  
The Impact

Abstract Introduction: Next generation sequencing of over 800 newly diagnosed multiple myeloma (NDMM) cases has established the mutational landscape and key cancer driver pathways. The mutational basis of relapse has not been systematically studied. Two previous studies (Keats et al.; Bolli et al.) identified 4 patterns of clonal evolution. Neither study included uniformly treated patients and looked at the impact of therapy on clonal structure at relapse. Understanding the mutational patterns underlying relapse and how they relate to specific therapies is crucial in order to improve MM outcomes, especially for high-risk (HR) MM. In this study we compare the clonal structure at presentation (PRES) and at relapse (REL), after exposure to Total Therapy (TT). Materials and Methods: We studied 33 pairs of tumor samples collected at PRES and REL. 9 patients were treated on TT2, 13 on TT3, 10 on TT4 and 1 on TT5-like regimen. Eleven patients had HR disease at PRES. DNA was extracted from CD138+ selected cells from random bone marrow aspirates. Germline controls were obtained from leukapheresis products. Whole exome sequencing libraries were prepared using the Agilent qXT kit and the Agilent SureSelect Clinical Research Exome kit with additional baits covering the Ig and MYC loci. All samples were sequenced on an Illumina HiSeq2500 to a median depth of 120x. Sequencing data were aligned to the Ensembl GRCh37/hg19 human reference using BWA. Somatic variants were called using MuTect. Translocations were identified using MANTA. Copy number variations were inferred using TITAN. Gene expression profiles (GEP), generated using the Affymetrix U133plus2 microarray, were available for all tumor samples. Nonnegative matrix factorization (NMF) was used to define mutation signatures. Results: The median time to progression was 30 months with a median follow up of 9.5 years. 22 cases achieved a complete remission (CR) or near CR. There were 11 cases of HR at PRES. Of the 22 cases with low risk (LR) MM, 7 relapsed with HR disease. There were on average 478 SNVs per sample at PRES and 422 at REL. All but 2 cases had evidence of new mutations at REL. There were no consistent patterns or number of mutation associated with REL or GEP-defined risk. Patients of the MF molecular subgroup had more mutations compared to other molecular subgroups (657 vs. 379) and were enriched for mutations with an APOBEC signature. We did not detect any mutation signature consistent with chemotherapy-induced alterations, providing evidence that TT itself does not cause additional mutations. Primary recurrent IgH translocations called by MANTA were confirmed by GEP data. A number of new translocations were identified , several only at REL. In particular we demonstrate a case with a newly acquired MYC translocation at relapse, indicating that it contributed to progression. We identified 5 patterns of clonal evolution (Figure 1): A) genetically distinct relapse in 3 patients, B) linear evolution in 8 patients, C) clonal selection in 9 patients, D) branching evolution in 11 patients, and E) stable clone(s) in 2 patients. Patterns A (distinct) and B (linear) were associated with low risk and longer survival, whereas patterns D (branching) and E (stable) were associated with high risk and shorter time to relapse and overall survival (Table 1). Conclusion: This is the first study to systematically analyze the pattern of clonal evolution using NGS in patients treated with combination chemotherapy and tandem ASCT. We identified 5 patterns of evolution, which correlate with survival. We identified 3 cases with a loss of the original clone and emergence of a new clone, suggesting high effectiveness of Total Therapy for those patients. The persistence of major clones despite multi agent chemotherapy in most other cases supports a concept of a tumor-initiating cell population that persist in a protective niche, for which new therapies are needed. Table 1. Pattern of Evolution GEP70 Pres.(high risk: ≥0.66) Proliferation Index Pres. GEP70 Rel.(high risk: ≥0.66) Proliferation Index Rel Mean OS Mean TTR A: distinct (n=3) -0.690 -3.34 -0.015 2.04 8.18 5.00 B: linear (n=8) -0.171 -0.34 0.618 9.22 5.70 4.05 C: selection (n=9) 0.366 3.20 0.569 6.97 3.95 2.64 D: branching (n=11) 0.710 5.17 1.173 11.15 3.84 2.21 E: stable (n=2) 1.532 7.42 1.124 2.54 0.96 0.35 Pres.: Presentation; Rel.: Relapse; OS: Overall Survival; TTR: Time to Relapse Figure 1. Patterns of Relapse Figure 1. Patterns of Relapse Disclosures Heuck: Foundation Medicine: Honoraria; Millenium: Other: Advisory Board; Janssen: Other: Advisory Board; Celgene: Consultancy; University of Arkansas for Medical Sciences: Employment. Weinhold:Janssen Cilag: Other: Advisory Board; University of Arkansas for Medical Sciences: Employment. Peterson:University of Arkansas for Medical Sciences: Employment. Bauer:University of Arkansas for Medical Sciences: Employment. Stein:University of Arkansas for Medical Sciences: Employment. Ashby:University of Arkansas for Medical Sciences: Employment. Chavan:University of Arkansas for Medical Sciences: Employment. Stephens:University of Arkansas for Medical Sciences: Employment. Johann:University of Arkansas for Medical Sciences: Employment. van Rhee:University of Arkansa for Medical Sciences: Employment. Waheed:University of Arkansas for Medical Sciences: Employment. Johnson:University of Arkansas for Medical Sciences: Employment. Zangari:University of Arkansas for Medical Sciences: Employment; Millennium: Research Funding; Onyx: Research Funding; Novartis: Research Funding. Matin:University of Arkansas for Medical Sciences: Employment. Petty:University of Arkansas for Medical Sciences: Employment. Yaccoby:University of Arkansas for Medical Sciences: Employment. Davies:University of Arkansas for Medical Sciences: Employment; Millenium: Consultancy; Janssen: Consultancy; Onyx: Consultancy; Celgene: Consultancy. Epstein:University of Arkansas for Medical Sciences: Employment. Barlogie:University of Arkansas for Medical Sciences: Employment. Morgan:Weismann Institute: Honoraria; MMRF: Honoraria; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; University of Arkansas for Medical Sciences: Employment; CancerNet: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees.

scholarly journals The Impact of Letermovir (LTV) Prophylaxis on Early Cytomegalovirus Infection (CMVi) and Outcomes in the Adult Allogeneic Hematopoietic Cell Transplantation (alloHCT) Recipients with High-Risk Donor Type

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1776-1776
Author(s):  
Sanjeet S Dadwal ◽  
Dongyun Yang ◽  
Guido Marcucci ◽  
Sally Mokhtari ◽  
Bernard Tegtmeier ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Acute Gvhd ◽  
Chronic Gvhd ◽  
Standard Of Care ◽  
Advisory Committees ◽  
Donor Type ◽  
The Impact ◽  
Grade Iii

Abstract CMV recipient seropositivity (R+) and CMVi are independent risk factors for increased mortality after alloHCT. Preemptive therapy (PET) was standard of care until LTV approval by the FDA in November 2017 for CMVi prevention in CMV R+ alloHCT patients (pts). In a registration trial, LTV led to a significant reduction in clinically significant CMVi (CS-CMVi) defined as CMVi requiring PET in both high-risk (HR) or low-risk (LR) recipients. In the HR-group, defined as mismatched related / unrelated donor with at least one mismatch in one of the four HLA-gene loci of HLA-A, -B, -C or -DRB1, haploidentical donor, umbilical cord source or grade ≥2 acute graft-versus-host disease (aGVHD) at randomization, the impact of LTV on CS-CMVi was more robust. Small studies have confirmed the positive impact of LTV on CS-CMVi. Here, we compared the natural history of CMVi and CS-CMVi between the pre-LTV and LTV era in the first 100 days after HR-alloHCT. We also explored the impact on non-relapse mortality (NRM), overall survival (OS), disease free survival (DFS), and incidence of aGVHD between the two eras. In this IRB approved retrospective study, we identified 450 consecutive HR-alloHCT pts who underwent their first HCT from 1/1/2016 to 12/31/2020 at our center. Pre-LTV era was from 1/1/2016 to 2/28/2018 and LTV era was from 3/1/2018 onwards when prophylaxis became standard of care (SOC) for all R+ alloHCT at our institution. In the HR-alloHCT, the uptake of the new SOC was consistent in all HR-R+ pts beginning LTV prophylaxis on day +7 post-HCT. We defined R+ HR-alloHCT pts at high-risk for CMVi or CS-CMVi as described above except for aGVHD (not recorded at time of institution of LTV). CMVi was defined as first time viral load (VL) of &gt;500 genomic copies/ml (gc/ml). CS-CMVi was defined as a VL &gt;500 gc/ml (910 IU/ml) on two consecutive tests done atleast 48 hours apart, that triggered PET (ganciclovir, valganciclovir, foscarnet, cidofovir), or had identification of CMV end organ disease . The incidence of CMVi and CS-CMVi in R+ allo-HCT was compared by LTV era using Gray test. Kaplan-Meier curves and log-rank tests were used for OS and DFS by LTV era. NRM, relapse, acute and chronic GVHD were compared using cumulative incidence curves and Gray test. All tests were 2-sided at 0.05 level. Of the 450 HR-alloHCT pts, 146 were R+ in pre-LTV vs. 246 R+ in LTV era. R+ patient, their eligible underlying disease, and HCT characteristics are shown in Table 1. There was a significant reduction in both CMVi and CS-CMVi in LTV era vs pre-LTV era (24.1% vs 45.2%, and 22.3% vs 44.5% respectively; p &lt;0.001 for both outcomes) in the first 100 days. Compared to pre LTV era, LTV era was associated with significantly reduced CS-CMVi among R+ pts (HR=0.39, 95%CI: 0.26-0.58, p &lt;0.001) in the multivariable Fine and Gray model adjusted for primary diagnosis, donor type and acute GVHD. CMVi was also reduced in the multivariable model (HR=0.41 and 95%CI: 0.28-0.61, p&lt;0.001). Although there were no significant differences in OS, DFS, NRM, relapse, and chronic GVHD between the two eras at 6, 12, and 18 months post-HCT in R+ pts, a trend towards improved OS and DFS in LTV era was noted (p=0.06 and p=0.07) in this patient population. There was a significantly lower rate of grade III-IV acute GVHD in the LTV era (9.2% vs 17.8% at day 100, p=0.012 with HR = 0.49). No case of CMV disease was identified in the first 100 days. LTV has substantially reduced CS-CMVi in the first 100 days post-HCT in HR-R+ pts and resultant burden from PET. We identified a significant reduction in grade III - IV aGVHD in LTV era suggesting that with reduced CMVi, LTV may have a salutary impact on development of aGVHD; this is in agreement with studies showing bidirectional relationship between CMVi and onset of aGVHD. We did not observe a significant difference in OS, DFS, NRM amongst the two eras but there was trend towards higher OS and DFS in LTV era that requires further assessment in a larger multicenter cohort. Lastly, significant burden persists from CS-CMVi in this patient population during the first 100 days of alloHCT that underscores the need of efforts to identify other novel methods to mitigate it. One of the limitations in the LTV era is identifying the clinical scenarios surrounding the CMVi and CS-CMVi that may relate to compliance, absorption from gastrointestinal tract, and affordability or coverage of LTV after discharge from hospital. Figure 1 Figure 1. Disclosures Dadwal: Astellas: Speakers Bureau; Aseptiscope: Consultancy; AlloVir: Research Funding; Shire/Takeda: Research Funding; Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Other: Investigator; Karius: Other: Investigator. Marcucci: Novartis: Other: Speaker and advisory scientific board meetings; Agios: Other: Speaker and advisory scientific board meetings; Abbvie: Other: Speaker and advisory scientific board meetings. Taplitz: Merck: Membership on an entity's Board of Directors or advisory committees. Artz: Radiology Partners: Other: Spouse has equity interest in Radiology Partners, a private radiology physician practice. Stein: Amgen: Consultancy, Speakers Bureau; Celgene: Speakers Bureau; Stemline: Speakers Bureau. Forman: Allogene: Consultancy; Lixte Biotechnology: Consultancy, Current holder of individual stocks in a privately-held company; Mustang Bio: Consultancy, Current holder of individual stocks in a privately-held company. Al Malki: Neximmune: Consultancy; Jazz Pharmaceuticals, Inc.: Consultancy; CareDx: Consultancy; Rigel Pharma: Consultancy; Hansa Biopharma: Consultancy.

scholarly journals The BMP/SMAD Pathway Is a Key Mediator of Leukemic Transformation of TP53-Mutant Post-MPN AML

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 626-626
Author(s):  
Bing Li ◽  
Wenbin An ◽  
Hua Wang ◽  
Aishwarya Krishnan ◽  
Shoron Mowla ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Board Of Directors ◽  
Copy Number ◽  
Research Funding ◽  
Sequencing Analysis ◽  
Erythroid Progenitors ◽  
Leukemic Transformation ◽  
Advisory Committees ◽  
Smad Pathway ◽  
The Impact

Abstract Leukemic transformation (LT) after an antecedent myeloproliferative neoplasm (MPN) carries a dismal prognosis. As such, there is a pressing need for new mechanistic insights into LT as well as novel therapeutic approaches. Mutational inactivation of TP53 is the most common somatic mutation in LT. However, the impact of TP53 allelic state on the ability to potentiate LT, as well as the pathways involved in this process, have largely remained unresolved. To investigate the role of Tp53 alterations in LT, we generated an allelic series of mouse models with Jak2V617F/+ combined with conditional Tp53 knockout and point mutant alleles (all crossed to Rosa-CreERT2); Jak2V617F/+(J VF) , Jak2V617F/+-Tp53fl/+(J VFP +/-), Jak2V617F/+-Tp53fl/fl (J VFP -/-), Jak2V617F/+-Tp53R172H/+(J VFP R172H/+), Jak2V617F/+-Tp53R172H/fl (J VFP R172H/-). After tamoxifen-induced recombination, mice transplanted with J VF, J VFP +/- and J VFP R172H/+ cells developed an MPN phenotype, whereas all the recipients of J VFP -/- and J VFP R172H/- bone marrow initially developed an MPN phenotype followed by transformation to acute leukemia with significantly impaired survival, and changes in blood counts and organ weights, compared to other genotypes (Fig 1A/B). Histopathology of J VFP -/- and J VFP R172H/- mice was consistent with pure erythroleukemia (PEL; Fig 1C). Analysis of stem and progenitor compartments demonstrated that the MEP (Megakaryocyte Erythroid Progenitors) compartment was significantly expanded in the bone marrow and spleen of both J VFP -/- and J VFP R172H/- mice, compared to other genotypes, at both the MPN and PEL stages of disease, consistent with erythroid-biased hematopoiesis (Fig 1D). Given we observed sequential MPN-&gt;AML progression, we hypothesized that additional genetic/biological events were required to promote LT. Sparse whole genome sequencing analysis revealed that transformation to PEL was associated with the development of recurrent copy number alterations (CNA) . Importantly, CNAs were restricted to the MEP compartment and not identified in the GMP compartment (Fig 1E), suggesting that MEPs might represent the leukemia initiating population with capability of acquiring additional genomic instability. Consistent with this hypothesis, mice transplanted with MEPs, but not GMPs from J VFP -/- and J VFP R172H/- mice at the MPN stage developed PEL. Further, single-cell RNA sequencing of J VF and J VFP -/- (at both MPN and PEL stage) demonstrated that the gene-expression signature of the leukemic population was most similar to that of erythroid progenitors and erythroblasts, and that by copy number inference analysis, CNAs were restricted to the leukemic population. We identified 617 genes up-regulated in both J VFP -/- and J VFP R172H/- leukemic MEPs when compared to J VF MEPs using RNA-seq. Pathway analysis demonstrated increased expression of Bone morphogenetic protein (BMP) pathway genes in both J VFP -/- and J VFP R172H/- leukemic mice (Fig 1F). Importantly, similar observations were made in human PEL samples as well. To investigate the function of this pathway, leukemic MEPs from J VFP -/- and J VFP R172H/- mice were transduced with an shRNA-targeting Bmp2 or a control and injected into lethally irradiated recipient mice. Mice injected with Bmp2-shRNA MEPs demonstrated leukemic regression and restoration of normal hematopoiesis as evidenced by significant reductions in leukocytosis (p&lt;0.05) and increased HGB (p&lt;0.05) and an increase in PLT count (p&lt;0.05/p&lt;0.01) (Fig 1G). Finally, as compared to mice injected with leukemic MEPs with control shRNA, mice injected with Bmp2-shRNA had significantly longer survival (p&lt;0.05) (Fig 1H). Thus, downregulation of Bmp2 results in attenuation of the leukemic phenotype. Using novel models, we have identified that bi-allelic, but not mono-allelic Tp53 alteration is required for LT of MPN. The leukemia initiating population arises within the MEP compartment and is characterized by recurrent CNAs acquired in a specific hematopoietic compartment. Moreover, the BMP/SMAD pathway is upregulated in leukemic MEPs and plays a functional role in LT. Collectively, our data yields novel biological insights into the process of leukemic transformation mediated by Tp53 alterations. Data on selective therapeutic targeting of p53-mutant PEL will be presented at the meeting. Figure 1 Figure 1. Disclosures Xiao: Stemline Therapeutics: Research Funding. Lowe: Oric Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Other: Founder; Blueprint Medicines: Membership on an entity's Board of Directors or advisory committees, Other: Founder; Mirimus, Inc: Membership on an entity's Board of Directors or advisory committees, Other: Founder; Faeth Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other: Founder; PMV Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Levine: Isoplexis: Membership on an entity's Board of Directors or advisory committees; Zentalis: Membership on an entity's Board of Directors or advisory committees; Ajax: Membership on an entity's Board of Directors or advisory committees; Auron: Membership on an entity's Board of Directors or advisory committees; Imago: Membership on an entity's Board of Directors or advisory committees; C4 Therapeutics: Membership on an entity's Board of Directors or advisory committees; Mission Bio: Membership on an entity's Board of Directors or advisory committees; Prelude: Membership on an entity's Board of Directors or advisory committees; QIAGEN: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Gilead: Honoraria; Amgen: Honoraria; Lilly: Honoraria; Morphosys: Consultancy; Roche: Honoraria, Research Funding; Incyte: Consultancy; Janssen: Consultancy; Astellas: Consultancy. Rampal: Pharmaessentia: Consultancy; Abbvie: Consultancy; Kartos: Consultancy; Constellation: Research Funding; Jazz Pharmaceuticals: Consultancy; Incyte: Consultancy, Research Funding; Disc Medicine: Consultancy; BMS/Celgene: Consultancy; Novartis: Consultancy; CTI: Consultancy; Sierra Oncology: Consultancy; Stemline: Consultancy, Research Funding; Blueprint: Consultancy; Memorial Sloan Kettering: Current Employment.

Re-Evaluation of the Efficacy of Azacitidine (AZA) In Patients From the AZA-001 Study with Higher-Risk Myelodysplastic Syndromes (MDS) Classified by WHO Criteria and WPSS Risk

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4031-4031
Author(s):  
Norbert Gattermann ◽  
Guillermo F. Sanz ◽  
Aristoteles Giagounidis ◽  
John F Seymour ◽  
Pierre Fenaux ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Scoring System ◽  
Research Funding ◽  
Who Classification ◽  
Hematologic Malignancies ◽  
World Health ◽  
International Prognostic Scoring System ◽  
Advisory Committees ◽  
Very High

Abstract Abstract 4031 Introduction: Because MDS are clinically heterogenous, classification and prognostic tools are essential to guide disease management decisions. The international, multicenter, phase 3 trial (AZA-001) enrolled 358 pts with higher-risk MDS as defined by French-American-British (FAB) criteria and International Prognostic Scoring System (IPSS) (Lancet Oncol 2009;10:223). The recent World Health Organization (WHO) classification of hematologic malignancies criteria (JCO 1999;17:3835) and the WHO Classification–Based Prognostic Scoring System (WPSS) (JCO 2007;25:3503) are increasingly being used in clinical practice. Aim: To evaluate whether overall survival (OS), hematologic improvement (HI), and transfusion independence (TI) in the subgroup of patients (pts) from AZA-001 who met WHO classification and WPSS criteria for higher-risk MDS are consistent with overall findings from AZA-001. Methods: According to protocol, AZA-001 enrolled pts with FAB-defined RAEB, RAEB-t, or CMML with more than 10% blasts, and IPSS Int-2 or High risk (Lancet Oncol 2009;10:223). Pts were randomized to AZA 75 mg/m2/d SC × 7d q 28d (n=179) or to a conventional care regimen (CCR; n=179), which included supportive care, low-dose ara-C, or intensive chemotherapy. This analysis included pts with WHO-defined RAEB-1 or RAEB-2 (pts with WHO-AML, CMML-1, CMML-2, or indeterminate classification were excluded) who had baseline WPSS risk of intermediate, high, or very high. Kaplan-Meier methods were used to estimate median OS and 95% CIs. HI and TI were defined by IWG-2000 criteria and results for AZA vs CCR were compared by Fisher's exact test. P values can only be used as a reference because these analyses were performed post hoc on a selected pt population that met WPSS criteria (40% of all AZA-001 pts did not meet these criteria and were excluded from analyses). Results: Overall, 215 pts in AZA-001 (106 AZA, 109 CCR) met a WHO classification for higher-risk MDS (RAEB-1: 13 AZA, 16 CCR; RAEB-2: 93 AZA, 93 CCR). Baseline WPSS risk was intermediate (1 AZA pt), high (66 AZA, 59 CCR), or very high (39 AZA, 50 CCR), with proportionately more CCR pts at very high risk than AZA pts (46% vs 37%, respectively). Median age was 68 years (range 42 – 83) in the AZA group and 70 years (range 38 – 88) in the CCR group. At baseline, 63% of both the AZA and CCR cohorts were RBC transfusion-dependent and 19% and 15%, respectively, were platelet transfusion dependent. Median OS was 26.3 months (95%CI: 17.2, not reached) with AZA vs 13.9 months (95%CI: 8.9, 18.8) with CCR, (log-rank p=0.016) (Figure). Rates of any HI and major erythroid and platelet lineage responses were better with AZA vs CCR (Table). RBC TI was also more frequent with AZA than with CCR (Table), but the platelet TI rate did not differ between treatment groups. Conclusion: These results are highly consistent with reported OS and hematological response outcomes for the entire AZA-001 population of higher-risk MDS pts classified by FAB and IPSS risk. The efficacy of AZA is consistently superior to CCR in pts with higher-risk MDS, irrespective of the classification and prognostic criteria used to describe them. Disclosures: Gattermann: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Sanz:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Giagounidis:Celgene: Consultancy, Honoraria. Seymour:Celgene: Honoraria, Speakers Bureau. Fenaux:Celgene: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Merck: Honoraria; Cephalon: Honoraria; Novartis: Honoraria; J&J: Honoraria. Santini:Celgene: Honoraria. Mufti:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Muus:Celgene: Membership on an entity's Board of Directors or advisory committees; Alexion: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Ramos:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Lucy:Celgene: Employment, Equity Ownership. Beach:Celgene: Employment. Silverman:Celgene: Honoraria.

scholarly journals Biologic Basis of the Impact of Autologous Hematopoietic Cell Transplantation in Multiple Myeloma Treated with Quadruplet Therapy

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 483-483
Author(s):  
Susan Bal ◽  
Saurabh Chhabra ◽  
Natalie S. Callander ◽  
Eva Medvedova ◽  
Bhagirathbhai Dholaria ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Cell Transplantation ◽  
Research Funding ◽  
Hematopoietic Cell Transplantation ◽  
Advisory Committees ◽  
Post Induction ◽  
The Impact ◽  
Autologous Hematopoietic Cell Transplantation

Abstract Background Unprecedented depth of response is observed with quadruplet combinations in newly diagnosed multiple myeloma (NDMM). The incremental benefit of autologous hematopoietic cell transplantation (AHCT) in this setting has not be described and can be appraised with the serial assessment of minimal residual disease (MRD). Here we describe the impact of AHCT on MM burden assessed by next generation sequencing (NGS) for patients enrolled in the MASTER trial. Methods MASTER is a prospective, multi-center clinical trial utilizing daratumumab, carfilzomib, lenalidomide and dexamethasone (Dara-KRd) induction, AHCT (Melphalan conditioning), followed by MRD response-adapted Dara-KRd consolidation with planned enrichment for patients with high-risk chromosome abnormalities (HRCA). MRD assessment is performed by NGS (ClonoSEQ® platform) upon completion of induction therapy with 4 cycles of Dara-KRd, 60-80 days after AHCT and after each 4 cycle-block of consolidation, where applicable. Patients with confirmed MRD negativity (MRD&lt;10 -5 in two consecutive time points) enter treatment free observation and active surveillance of MRD resurgence ("MRD-SURE"). The primary endpoint of the study is negativity utilizing IMWG criteria (MRD&lt;10 −5). Achievement of MRD &lt;10 −6 is an exploratory endpoint. Patients are categorized as having 0, 1, 2+ HRCA [gain 1q, t(4;14), t(14;16), t(14;20), del(17p)]. We describe changes in MRD burden with AHCT and explore patient and disease features influencing magnitude of MRD reduction with AHCT. Results Between 3/2018 and 9/2020, 123 participants were accrued. Of those, 118 were MRD evaluable and 109 have NGS-MRD post-induction and post AHCT and are included in this analysis. The median age is 61 y (35-79) and 18% are 70 or older. Twenty-four percent of patients are non-white, 20% have ECOG 2, 19% high LDH, and 19% R-ISS3. Forty seven (43%) have 0 HRCA, 41 (38%) have 1 HRCA, and 21 (19%) with 2+ HRCA (ultra-HR MM). Forty percent achieved MRD negativity after four cycles of Dara-KRd induction, increasing to 69% after AHCT. Twenty-six percent patients were MRD&lt;10 -6 post induction, increasing to 51% post-AHCT (Table). Of the 65 patients (60%) who remained MRD positive post-induction, 54 (83%) had a reduction in MRD burden with AHCT (figure). The median reduction in MRD with auto-HCT was 1.10 log 10 (range -1.26 to 3.41). Patients with HRCAs had a greater reduction in MRD burden (P=0.02). For patients with 0, 1 and 2+ HRCA, median reduction was 0.91 log 10 (range -0.75 to 2.14), 1.26 log 10 (range -0.21to 3.26) and 1.34 log 10 (range -1.28 to 3.41),respectively. More than 1 log 10 reduction in MRD was seen in 56.0% of patients, 43%, 74% and 71% of patients with 0, 1 and 2+ HRCA respectively. Greater than 2 log reductions in MRD was seen in 20% of patients, 11%, 17% and 43% of patients with 0, 1 and 2 HRCA, respectively. In multivariable analysis that included age, stage, performance status and treatment response post induction, the presence of HRCA was the only factor associated with greater than 1 log 10 reduction in MRD burden with AHCT (OR 3.6, 95% CI 1.27-10.2, P=0.016). Conclusions An ultrasensitive quantitative MRD assay using NGS demonstrates the incremental benefit of AHCT in the context of highly efficacious quadruplet induction. The greatest impact is afforded to the highest risk disease subset elucidating the biologic underpinnings of the impact of AHCT in MM. At this time, AHCT should remain an integral part of therapy for fit, NDMM patients, particularly those with the high-risk disease and those who remain MRD positive after induction. Future studies exploring AHCT deferral in NDMM should be focused on patients who are MRD negative post optimal induction. Figure 1 Figure 1. Disclosures Chhabra: GSK: Honoraria. Dholaria: Angiocrine: Research Funding; MEI: Research Funding; Pfizer: Research Funding; Jazz: Speakers Bureau; Takeda: Research Funding; Poseida: Research Funding; Janssen: Research Funding; Celgene: Speakers Bureau. Silbermann: Janssen Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Sanofi Genzyme: Membership on an entity's Board of Directors or advisory committees, Research Funding. Giri: PackHealth: Research Funding; CareVive: Honoraria, Research Funding. Hari: Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotech: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Karyopharm: Consultancy; Celgene-BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau. Costa: Karyopharm: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria.

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