scholarly journals Only Hotspot SF3B1 K700E Mutation Is an Independent Predictor of Overall Survival in Myelodysplastic Syndromes

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 24-25
Author(s):  
Rashmi Kanagal-Shamanna ◽  
Guillermo Montalban Bravo ◽  
Koji Sasaki ◽  
Carlos E. Bueso-Ramos ◽  
Elias Jabbour ◽  
...  
Keyword(s):  
Overall Survival ◽  
Board Of Directors ◽  
Research Funding ◽  
P Value ◽  
Aberrant Splice ◽  
Low Grade ◽  
Advisory Committees ◽  
Pathologic Features ◽  
Significant Difference ◽  
Advisory Role

SF3B1 mutated (SF3B1mut) MDS is associated with increased ring sideroblasts (RS) and favorable outcome. IWG-PM proposed that SF3B1mut MDS be considered a distinct entity in the absence of other unfavorable features. However, not all SF3B1mut MDS have similar clinical course. Hotspot K700E SF3B1mut leads to aberrant splice junctions and large-scale mRNA downregulation by activating a cryptic splice site. The functional effects of SF3B1mut outside of K700E is not clear. The outcome can also be altered by concomitant gene mutations and karyotype. In this study, we studied the clinical-pathologic features and outcome in a single-institutional series of 94 SF3B1mut and 415 SF3B1wt MDS, and explored the differences between K700E and non-K700E subgroups. All untreated MDS patients diagnosed over a 3-year duration who underwent NGS were selected. Overall survival was calculated from diagnosis to death/ last follow-up. Univariate (UVA) Cox proportional hazards regression was used to identify any association of variables with outcome followed by multivariate modeling (MVA) (p-value 0.200 cutoff). Of 509 patients, 94 (19%) had SF3B1mut: 59 men, 35 women; median age: 74 (39-92) years. Baseline characteristics: Table 1. Compared to SF3B1wt, SF3B1mut had a significantly higher median age (74 vs. 70, p=0.0008), MCV (105 vs. 96, p<0.0001), platelet count (188 vs. 78, p<0.0001) and lower BM blasts (2 vs. 4, p=0.003). SF3B1mut were less frequently therapy-related (18% vs. 34%, p=0.002), significantly enriched in R-IPSS VL/L and WHO MDS-RS and MDS with iso del(5q). Majority (~66%) had concomitant mutations: TET2 (25%), DNMT3A (21%), RUNX1 (15%), TP53 (10%), ASXL1 (7%), BCOR (4%), IDH1/2 (4%), SRSF2 (3%), RAS (3%) and EZH2 (3%) (Fig 1B). ~10% showed complex karyotype (CK). Among SF3B1mut, hotspot K700E mutation was seen in 55 (~60%). Non K700E mutations (n=39, 40%) frequently involved codons: H662, K666 and R625, seen in 8 patients each (Fig 1A). SF3B1 K700E showed a higher median RS% (50% vs. 34%; p=0.038), ANC (2.4 vs. 1.8, p=0.005) and a trend for higher platelet (196 vs. 124, p=0.05). SF3B1mut were less likely MDS-EB than non-K700E (22% vs. 49%, p=0.008). All 4 SF3B1mut patients that fit WHO criteria for MDS with isolated del(5q) had K700E (Table). The frequency of RUNX1 mutation was significantly higher in non-K700E cases (26% vs. 7.3%, p=0.012); mutations in BCOR (p=0.02), IDH2 (p=0.07) and SRSF2 (p=0.07) were exclusively noted in non-K700E cases (Fig 1C). There was no significant difference in TP53mut or CHIP-associated mutations DNMT3A, ASXL1 and TET2 or SF3B1 VAF. There was no significant differences in diploid vs. CK. However, K700E had lower CCCS categories (0/1, n=39; 2/3/4, n=10 vs. 0/1, n=19; 2/3/4, n=17); p=0.011). Majority were treated with HMA [16/17 (94%) K700E; 15/19 (79%) non-K700, 217/ 277 (78%) SF3B1wt]. SF3B1mut had better OS than SF3B1wt in all MDS (NR vs. 25.2 months, p=0.0003; fig 1D), low-grade MDS (NR vs. 41.3 months, p=0.0015; fig 1E) and MDS-RS (NR vs. 22.3 months, p=0.0004; fig 1F). Four (7.3%) K700E died compared to 9 (23%; p=0.036) non-K700E. The outcome of non-K700E was similar to SF3B1wt, in all MDS, low-grade MDS and MDS-RS (median OS, NR for both; p=0.021). By UVA, the following associated with worse outcome: higher BM blasts, lower hemoglobin, platelet and MCV, prior chemo-radiation, CK, higher R-IPSS, absence of mutations in SF3B1 K700E, TET2 and U2AF1 and presence of TP53mut. Non-K700E did not associate with OS. By MVA, lower hemoglobin, higher R-IPSS, absence of SF3B1 K700E and presence of TP53mut were independent predictors of worse OS. Within MDS-RS categories, independent prognostic factors of worse OS included lower platelet, presence of mutations in non-K700E SF3B1mut, ASXL1, SRSF2 and TP53. TP53mut/CK was seen in 10% SF3B1mut MDS. No survival differences were noted between SF3B1mut with or without TP53mut/CK (median OS, NR) and SF3B1wt without TP53mut/CK (44.3 months), but TP53mut/CK with SF3B1wt MDS had a worse outcome (median OS, 12.9 months, HR 1.46, p=0.001; fig 1G). Same findings were noted within low-grade MDS and MDS-RS, suggesting SF3B1mut negates the poor prognostic effect of TP53mut/CK. About 40% SF3B1mut MDS show non K700E mutations. K700E and non K700E SF3B1mut MDS show distinct clinical and mutational profiles, with K700E showing a significantly better OS compared to non K700E and SF3B1wt. Only SF3B1 K700E independently predicted for worse OS in MDS. Figure Disclosures Sasaki: Pfizer Japan: Consultancy; Daiichi Sankyo: Consultancy; Novartis: Consultancy, Research Funding; Otsuka: Honoraria. Jabbour:Genentech: Other: Advisory role, Research Funding; BMS: Other: Advisory role, Research Funding; Pfizer: Other: Advisory role, Research Funding; AbbVie: Other: Advisory role, Research Funding; Takeda: Other: Advisory role, Research Funding; Adaptive Biotechnologies: Other: Advisory role, Research Funding; Amgen: Other: Advisory role, Research Funding. Kantarjian:Amgen: Honoraria, Research Funding; Ascentage: Research Funding; BMS: Research Funding; Daiichi-Sankyo: Honoraria, Research Funding; Immunogen: Research Funding; Jazz: Research Funding; Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Sanofi: Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive biotechnologies: Honoraria; Aptitute Health: Honoraria; BioAscend: Honoraria; Delta Fly: Honoraria; Janssen: Honoraria; Oxford Biomedical: Honoraria; Abbvie: Honoraria, Research Funding. Garcia-Manero:Astex Pharmaceuticals: Consultancy, Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Merck: Research Funding; Onconova: Research Funding; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Helsinn Therapeutics: Consultancy, Honoraria, Research Funding; Acceleron Pharmaceuticals: Consultancy, Honoraria; H3 Biomedicine: Research Funding; Amphivena Therapeutics: Research Funding; Novartis: Research Funding; Jazz Pharmaceuticals: Consultancy.

Addition of Rituximab Improves Outcome of HIV Negative Patients with Burkitt Lymphoma Treated with the Lmba Protocol: Results of the Randomized Intergroup (GRAALL-Lysa) LMBA02 Protocol. (IGR sponsored LMBA02, NCT00180882)

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 685-685 ◽  
Author(s):  
Vincent Ribrag ◽  
Serge Koscielny ◽  
Krimo Bouabdallah ◽  
Gilles Salles ◽  
Olivier Casasnovas ◽  
...  
Keyword(s):  
Overall Survival ◽  
Board Of Directors ◽  
Research Funding ◽  
P Value ◽  
Intensive Chemotherapy ◽  
Advisory Committees ◽  
Extension Group ◽  
Disease Extension ◽  
Group B ◽  
Hiv Negative

Abstract Abstract 685 Background: Intensive chemotherapy is now considered as a standard of care in adult patients with Burkitt Lymphoma (BL). Although some single arm studies suggested that adding rituximab to these intensive short-course regimen could improve patientÕs outcome, no randomized study have been reported so far. Methods: To evaluate the potential benefit of adding rituximab to intensive chemotherapy, we conducted a phase III trial comparing the standard LMBA protocol (Divine et al, Ann Oncol 1995) to the same regimen plus rituximab. Rituximab (375 mg/m2) was given on day 1 and 6 during the first 2 courses of COPADM. Patient eligibility criteria included age >18 years, HIV negativity and previously untreated BL. The primary study objective was event-free survival (EFS). A study sample size of 250 pts was estimated in order to detect a 15% gain in EFS (two-side test, power 90%, type 1 error 5%). Secondary objectives were safety and overall survival. Treatment was adapted on disease extension (group B vs C) and age for patients from the C group (age <40; 40–59 and >59). Group C included patients with bone marrow and/or CNS involvement, and group B all the other patients. Methotrexate, cyclophosphamide and cytarabine doses were adapted to age in the group C. Lenograstim was given prophylactically to the pts. The randomization was stratified on disease extension (group B vs C) and age. Results: From October 2004 to September 2010, 257 patients from 45 centers were included; 128 in the Rituximab arm and 129 in the standard arm. Median age was 47 (26% were > 60), M/F ratio was 2.5, serum LDH level was > normal in 75% of the patients, and 11% had a performance status (PS)>2. The two treatment arms were well balanced for pretreatment characteristics, except for age and PS. Patients were older in the Rituximab arm (30%>60 years old vs 17% in the standard arm) or had a higher PS>2 (17% with PS>2 vs 7%). With a median follow-up of 38 months (range 0.3 to 79), patients treated in the rituximab arm had a better EFS (3 year EFS 76%; 95% CI: 69–84 vs 64% in standard arm; 95%CI: 55–72; Logrank P value stratified on treatment group=0.046), and Overall Survival (3 year OS 82%; 95% CI: 77–90 vs 71% in standard arm; 95%CI: 63–79; Logrank P value, stratified on treatment group=0.016) (Figure). Fifty-eight patients died. Causes of death were lymphoma (9 in the rituximab arm and 22 in the standard arm), toxicity (9 in the rituximab arm and 7 in the standard arm), and other causes (4 in the rituximab arm and 7 in the standard arm). Safety was similar in both arms for duration of grade 4 neutropenia, number of platelet or red cell transfusions, minor or major infection. Conclusions: The addition of rituximab to LMBA protocol improves EFS and OS in adult BL HIV negative. No adverse and/or increased toxicity was observed when rituximab was added to this intensive chemotherapy regimen. Toxic death rate was similar to our previous phase II experience despite a higher median age in this randomized multicenter trial. Disclosures: Ribrag: Servier: Membership on an entity's Board of Directors or advisory committees, Research Funding; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Bayer: Research Funding; Sanofi-Aventis: Research Funding; Johnson & Johnson: Membership on an entity's Board of Directors or advisory committees. Off Label Use: Ruxolitinib is approved in the United States and Canada for the treatment of myelofibrosis and is being investigated in combination with panobinostat, an investigational product, in this indication. This abstract reports on a clinical trial conducted outside the US. All patients have provided written informed consent. Salles:roche: Membership on an entity's Board of Directors or advisory committees. Herbrecht:Pfizer: Advisory board member Other. Coiffier:roche: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Similar Efficacy and Safety of CT-P10 and Reference Rituximab in Patients with Advanced Stage Follicular Lymphoma: Updated Phase III Study Results

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1616-1616
Author(s):  
Won-Seog Kim ◽  
Christian Buske ◽  
Larry W Kwak ◽  
Michinori Ogura ◽  
Bertrand Coiffier ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Safety Profile ◽  
Research Funding ◽  
Complete Response ◽  
P Value ◽  
Maintenance Period ◽  
Advisory Committees ◽  
Significant Difference ◽  
Duration Of Response

Abstract Background: CT-P10 is an approved biosimilar to the innovator rituximab (RTX) from many countries including European Union based in part on the pharmacokinetics (PK) equivalence and comparable efficacy in patients with previously untreated advanced follicular lymphoma (FL) when treated with rituximab plus cyclophosphamide, vincristine and prednisone (R-CVP) as an induction therapy (Coiffier B et al. ASH 2016; Kim WS et al. ASCO 2017). Objective: We report here the updated efficacy outcomes including progression free survival (PFS), duration of response, overall survival (OS), as well as updated safety profile of CT-P10 compared to RTX in advanced FL patients with median follow-up duration of 23 months including the Maintenance Period with rituximab monotherapy. Methods: These results were derived from an ongoing randomized and double-blind study in patients with previously untreated advanced FL (NCT02162771). A total of 140 patients were randomized in a 1:1 ratio and 124 patients completed 8 cycles of R-CVP induction therapy. One-hundred twenty two patients (62 patients in CT-P10 group and 60 patients in RTX group), who showed response during the Induction Period, entered the Maintenance Period where a total of 12 cycles of rituximab monotherapy was to be administered every 2 months. The study was planned to continue until death or up to 3 years from the randomized date of the last patient. Kaplan Meier (KM) method was used to estimate PFS, duration of response, and OS. Results: Both groups had similar baseline characteristics; overall median age of 58 years, 55% female, 57% with FLIPI score ≥3, 100% with Stage III/IV, 18% with bulky disease (≥7cm) and 26% with B-Symptom. As of the cut-off date for investigator-assessed PFS, duration of response and OS, median follow-up was 23 months (range, 0.5-34) in the CT-P10 group and 22 months (range, 0.2-33) in the RTX group. The proportion of patients who had experienced relapse, disease progression or death from any cause was 22.9% (16/70) and 24.3% (17/70) for the CT-P10 and RTX groups, respectively. There was no significant difference between CT-P10 and RTX groups in PFS (log rank, p-value: 0.806) with 2-year PFS of 75.2% and 73.5%, respectively (Figure 1). In terms of sustained response, the proportions of patient who showed relapse or disease progression after achieving overall response (Complete Response, unconfirmed Complete Response, or Partial Response) were 19.4% (13/67) in CT-P10 group and 21.3% (13/61) in RTX group, and the KM curves showed no statistically significant difference between CT-P10 and RTX (log rank, p-value: 0.997) (Figure 2). Death from any cause were 5.7% (4/70) and 2.9% (2/70) in the CT-P10 and RTX groups, respectively. There was no statistically significant difference in OS (log rank, p-value: 0.464) between the CT-P10 and RTX groups with 2-year OS of 93.2% and 95.3%, respectively. Overall safety profile of CT-P10 was consistent with that of RTX (Table 1). A similar number of patients in each treatment group experienced at least 1 Treatment Emergent Adverse Events (TEAE) considered to be related to the study drug, infusion-related reaction, and infection. The proportion of patients with positive anti-drug antibody was also similar in both groups (4.3% [3/70] vs 5.7% [4/70] in the CT-P10 and RTX groups). Neither progressive multifocal leukoencephalopathy nor Hepatitis B virus reactivation was reported in either group. Conclusion: At the median follow-up duration of 23 months, the updated efficacy data in advanced FL patients demonstrated comparable PFS, sustained response and OS between CT-P10 and RTX. CT-P10 was also well tolerated and its safety profile was similar to that of RTX. The updated safety results did not reveal any trends or new signals noted in the patients treated with CT-P10. Disclosures Kim: Mundipharma: Research Funding; Novartis: Research Funding; Kyowa-Kirin: Research Funding; Celltrion: Research Funding; Roche: Research Funding; J&J: Research Funding; Takeda: Research Funding. Buske:Roche: Honoraria, Research Funding; Bayer: Research Funding; Janssen: Honoraria, Research Funding. Ogura:MeijiSeika Pharma: Consultancy; Celltrion: Consultancy, Research Funding; Mundi Pharma: Consultancy; SymBio: Research Funding; Takeda: Honoraria; Cellgene: Honoraria. Coiffier:CELGENE: Consultancy, Membership on an entity's Board of Directors or advisory committees; MUNDIPHARMA: Membership on an entity's Board of Directors or advisory committees; CELLTRION: Membership on an entity's Board of Directors or advisory committees; MORPHOSYS: Membership on an entity's Board of Directors or advisory committees; NOVARTIS: Membership on an entity's Board of Directors or advisory committees. Lee:Celltrion, Inc: Employment. Kim:Celltrion, Inc: Employment.

scholarly journals Outcomes of Abdominal Thrombosis in Patients with Myeloproliferative Neoplasms in a Single Center Experience

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4307-4307
Author(s):  
Douglas Tremblay ◽  
Alexander Vogel ◽  
Erin Moshier ◽  
Ronald Hoffman ◽  
Marina Kremyanskaya ◽  
...  
Keyword(s):  
Overall Survival ◽  
Hepatic Encephalopathy ◽  
Board Of Directors ◽  
Research Funding ◽  
Myeloproliferative Neoplasms ◽  
Single Center ◽  
Advisory Committees ◽  
Vein Thrombosis ◽  
Single Center Experience ◽  
Significant Difference

Abstract Background Abdominal thrombosis (AT) is a concerning complication of myeloproliferative neoplasms (MPNs), leading to significant morbidity and mortality. While the epidemiology of AT in MPNs has previously been described, outcomes based on timing of AT relative to MPN diagnosis are unknown. Additionally, it is unclear how the treatment of the MPN affects outcomes including esophageal variceal bleeding (EVB), development of ascites, and additional thrombosis. Methods We conducted a retrospective review of patients at a single tertiary care institution. Inclusion criteria included: 18 years or older, a diagnosis of an MPN, including polycythemia vera (PV), myelofibrosis (MF), essential thrombocythemia (ET), and AT, including portal vein thrombosis (PVT), Budd Chiari Syndrome (BCS), or other splanchnic vein thrombosis. Primary outcome measures included EVB, additional thrombosis, development of ascites, hepatic encephalopathy, and death due to any cause. Years to outcome events were calculated by Kaplan Meier analysis. Results Baseline disease characteristics are summarized in Table 1. Sixty-four eligible patients were identified, 46 (72%) were female. The median age at time of AT was 45 years (range, 18-89). PV was the most common MPN, followed by ET then MF. Sixty patients (95%) harbored a mutation in JAK2. Characteristics of the AT are summarized in Table 2. Twenty-nine patients (45%) were diagnosed with AT after the MPN, with a median of 44 months (1-288) between diagnoses. Nineteen patients (30%) were diagnosed with AT before MPN, a median of 4 months (1-90). Sixteen patients (25%) were diagnosed concurrently (within 1 month). There was no difference in age at diagnosis of MPN among the three groups, however, patients diagnosed with AT before MPN were significantly younger (37 [18-89]) than those diagnosed with an AT after MPN (52 [31-85]) or concurrently (48 [20-70]) (p=0.0045). There was no significant difference among these three groups with respect to other AT characteristics. The median overall survival (OS) of the cohort was not reached. Five-year OS probability was 98%. No significant difference in overall survival (OS) was observed among those diagnosed with an AT before, concurrent, or after being diagnosed with an MPN. Treatment of the AT was primarily with warfarin (39%), although 19% of patients were treated with a direct oral anticoagulant. Additionally, 20% of patients received a transjugular intrahepatic portosystemic shunt (TIPS). Seven patients (11%) received no treatment for their AT. Of the entire cohort, 16 patients (25%) experienced an EVB. For patients who were on MPN directed therapy at time of AT, the hazard ratio (HR) for years to bleeding event was 1.24 (0.28-5.57) as compared to those who were not treated (p=0.7798). Ten patients (15.6%) experienced a non-abdominal thrombosis, predominantly deep vein thrombosis or pulmonary embolism. Thirty patients went on to develop ascites. HR for years to ascites from thrombosis was 1.94 (0.17-21.64) in the MPN treated patients (p=0.5823). Six patients (9%) developed hepatic encephalopathy. There was no difference between the MPN treated patients and non-MPN treated patients in a composite outcome of EV bleed, additional AT, ascites, or hepatic encephalopathy. Conclusions In this single center experience, a significant portion of patients were diagnosed with an AT before their MPN diagnosis. Treatment of the MPN at time of AT diagnosis did not appear to affect outcomes including EVB, additional thrombosis, development of ascites, or hepatic encephalopathy. These results suggest that once developed, treatment of the underlying MPN may not decrease complication rates of an AT. Further analyses are underway to clarify whether this finding is true in each AT subtype. Disclosures Hoffman: Merus: Research Funding; Summer Road: Research Funding; Formation Biologics: Research Funding; Janssen: Research Funding; Incyte: Research Funding. Kremyanskaya:Incyte: Research Funding. Mascarenhas:Merck: Research Funding; Promedior: Research Funding; Novartis: Research Funding; CTI Biopharma: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Research Funding.

scholarly journals Updated Results of a Phase 2 Study of Modified Lenalidomide, Bortezomib, and Dexamethasone (RVd-lite) in Transplant-Ineligible Multiple Myeloma

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3178-3178 ◽  
Author(s):  
Elizabeth K. O'Donnell ◽  
Jacob P. Laubach ◽  
Andrew J. Yee ◽  
Robert Redd ◽  
Carol Ann Huff ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
Board Of Directors ◽  
Research Funding ◽  
Advisory Board ◽  
Future Perspective ◽  
Low Grade ◽  
Advisory Committees ◽  
Grade 3

PURPOSE: This updated analysis examined survival outcomes after 60 months of follow-up in patients with transplant-ineligible newly diagnosed multiple myeloma (NDMM) treated with the 3-drug regimen of modified lenalidomide-bortezomib-dexamethasone (RVD lite) in this population. METHODS: RVD lite was administered over a 35-day cycle. Lenalidomide 15 mg was given orally days 1-21; bortezomib 1.3 mg/m2 once weekly subcutaneously (SC) on days 1, 8, 15, and 22; dexamethasone 20 mg orally day of and after bortezomib for 9 cycles followed by 6 cycles of consolidation. Eligibility requirements included ECOG performance status ≤ 2 and acceptable hepatic, renal, and hematologic function. Primary objective was to evaluate overall response rate (ORR). Secondary objectives included evaluation of safety, progression free survival (PFS), overall survival (OS), and the pharmacokinetic (PK) profile of intravenous (IV) and SC bortezomib. RESULTS: Fifty-three eligible patients enrolled between 4/17/13 and 7/25/15; 50 received at least one dose of therapy. As previously reported, the median age at study entry was 72 years (range 65-91). ISS stage was I in 19 (38%), II in 17 (34%), and III in 14 (28%) pts. Fatigue was the most commonly reported toxicity occurring in 37 (74%) and was mostly grade 1 or 2 in 29 (58%). Other grade 3 or greater toxicities included hypophosphatemia in 17 (34%), neutropenia in 7 (14%), and rash in 5 (10%) pts. Low grade peripheral neuropathy was reported in 31 (62%) patients with only 1 patient experiencing grade 3 symptoms. There were statistically significant improvements in scores of physical functioning (p=0.013), future perspective (p=0.023) and disease symptoms (p=0.001). Patients reported fewer symptoms across all symptom domains with the exception of diarrhea. The ORR was 86% and 66% of patients achieved a very good partial response (VGPR) or better. The median time to response was 1.1 months. At a follow-up of 61 months, median PFS was 41.9 months (95% CI, 31.2 - ∞) and median OS not reached. The 5-year overall survival was 61.3%. Sixty-six percent of patients received lenalidomide maintenance. CONCLUSIONS: RVD lite is a well-tolerated and highly effective regimen in the transplant-ineligible population with robust PFS and OS. Our data demonstrate that the benefits of more effective combination strategies observed in younger, fitter, transplant-eligible patients can be effectively used in older, transplant-ineligible patients with modifications in dose and schedule, without compromising efficacy. Disclosures O'Donnell: Celgene: Consultancy; Sanofi: Consultancy; BMS: Consultancy; Takeda: Consultancy; Amgen: Consultancy. Yee:Takeda: Consultancy; Celgene: Consultancy, Honoraria, Research Funding; Adaptive: Consultancy; Karyopharm: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Amgen: Consultancy, Honoraria. Huff:Karyopharm, Sanofi, MiDiagnostics: Consultancy; Member of Safety Monitoring Board for Johnson and Johnson: Membership on an entity's Board of Directors or advisory committees. Schlossman:Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Munshi:Celgene: Consultancy; Takeda: Consultancy; Abbvie: Consultancy; Janssen: Consultancy; Adaptive: Consultancy; Amgen: Consultancy; Oncopep: Consultancy. Anderson:Gilead Sciences: Other: Advisory Board; Janssen: Other: Advisory Board; Sanofi-Aventis: Other: Advisory Board; OncoPep: Other: Scientific founder ; C4 Therapeutics: Other: Scientific founder . Richardson:Bristol-Myers Squibb: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees, Research Funding. Raje:Merck: Consultancy; Janssen: Consultancy; Takeda: Consultancy; Celgene Corporation: Consultancy; Amgen Inc.: Consultancy; Bristol-Myers Squibb: Consultancy.

scholarly journals Different Clinical Implications of Kinase Domain BCR-ABL1 Variants Detected in Chronic Myeloid Leukemia and Acute Lymphoblastic Leukemia Patients

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5368-5368
Author(s):  
Ricardo Sanchez ◽  
Rosa Ayala ◽  
Gonzalo Carreño Gomez-Tarragona ◽  
Espino Maria Jose ◽  
Beatriz Cuevas ◽  
...  
Keyword(s):  
Overall Survival ◽  
Board Of Directors ◽  
Myeloid Leukemia ◽  
Research Funding ◽  
Poor Prognosis ◽  
Lymphoblastic Leukemia ◽  
Kinase Domain ◽  
Categorical Variables ◽  
P Value ◽  
Advisory Committees

Background: Kinase domain (KD) mutations is a common resistance mechanism, secondary to the tyrosine-kinase inhibitors (ITKs) treatment in the case of chronic myeloid leukemia (CML) and Philadelphia (Ph)-positive acute lymphoblastic leukemia (ALL) patients. Sanger sequencing is the gold standard technique and already the currently recommended method for BCR-ABL1 KD mutation detection. However, Sanger sequencing has limited sensitivity and cannot firmly identify populations with variant allele frequencies (VAF) < 15-20%. Next-generation sequencing (NGS) allow us the screening of mutations in the whole KD with variants with a VAF greater than 1%. The aim of this study is to evaluate the clinical and prognostic implications of CML and Ph-positive ALL patients who have been studied for mutations in BCR-ABL1 by NGS. Methods: Seventy CML and Ph-pos ALL patients have been studied for BCR-ABL1 mutations between years 2015-2017. The study reason was warning or failure according to European Leukemia Net recommendations in the case of CML patients, and diagnostic or relapse in the case of ALL patients. Clinical characteristics of the patients are depicted on Table 1. Categorical variables are described as frequency, and quantitative variables as medians. Contingency tables were used to analyze associations between categorical variables (χ2). Median test was used to compare medians of continuous variables between groups. Overall survival (OS) was estimated using the Kaplan-Meier method and compared between patients using the log-rank test. Results: We have found 37 patients with mutations (51%), the most frequent being p.T315I, p.L248V and p.L387M. 28 out of 59 were found in CML (47%) vs 9 out of 13 (69%) in ALL. Of the 37 patients with mutations, double mutations have been found 10 times (27%). In the 72 analyses performed, 62 mutations were found in total, 41 of them were variants of uncertain significance (VUS) and 21 were well-known mutation. The median levels of BCR-ABL1 (IS) at the time of analysis were 3.00 (0.01-196.18) %. Regarding CML patients, we have found 12 and 16 cases with pathogenic mutations and VUS, respectively. The mean survival for CML and ALL were 75.2 months (CI 95%, 65.7-84.6) and 24.7 months (13.3-36.2), respectively. There are significant differences between the overall survival curves for patients with CML who have mutations in BCR-ABL1 compared to those who have VUS or do not (p-value = 0.024, n=59), suggesting a second role of the VUS variants in the resistance of the patients to the TKI. These two groups have no significant differences in ALL patients (p-value= 0.32, n=13). Overall survival at 10 years from the date of diagnosis is 74% for CML patients with mutations and 90% for CML patients without mutations. Data dropped significantly for ALL patients, but the number of cases is too low. Conclusions: - Mutations have been identified in 47% of CML patients studied in the case of failure or warning and 69% of the patients of ALL at diagnosis or relapse moments. - The identification of pathogenic variants has poor prognosis in patients with CML (p = 0.024), however no differences were observed in ALL. - The identification of VUS is not associated to poor prognosis and these variants could not confer resistance to ITK. Disclosures Sevilla: Rocket Pharmaceuticals, Inc.: Honoraria, Patents & Royalties: Inventor on patents on lentiviral vectors filled by CIEMAT, CIBERER and F.J.D and may be entitled to receive financial benefits from the licensing of such patents; NOVARTIS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Rocket: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sobi: Membership on an entity's Board of Directors or advisory committees; Miltenyi Biotech: Honoraria. Steegmann:Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. García Gutiérrez:Novartis: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Incyte: Honoraria, Research Funding.

scholarly journals Presence of Extrachromosomal DNA (ecDNA) Impacts Both Progression Free and Overall Survival and Is an Independent Poor Prognostic Marker in Multiple Myeloma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 461-461
Author(s):  
Parth Shah ◽  
Anil Aktas-Samur ◽  
Mariateresa Fulciniti ◽  
Raphael Szalat ◽  
Masood A. Shammas ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
Board Of Directors ◽  
Copy Number ◽  
Research Funding ◽  
P Value ◽  
Newly Diagnosed ◽  
Extrachromosomal Dna ◽  
Publicly Traded ◽  
Advisory Committees

Abstract Background Focal amplifications and rearrangements drive tumor growth and evolution in cancer. Focally amplified regions often involve the juxtaposition of rearranged segments of DNA from distinct chromosomal loci into a single amplified region and nearly half of these regions can be explained by circular, extrachromosomal DNA (ecDNA) formation. Cancer-associated ecDNA shows a unique circular placing ecDNA at the interface of cancer genomics and epigenetics. As formation of ecDNA represents a manifestation of genomic instability, we have investigated presence and prognostic impact of ecDNA in multiple myeloma (MM). Methods Whole genome (WGS) and transcriptome (RNAseq) sequencing data from CD138 purified MM cells from 191 uniformly-treated newly diagnosed MM patients were used for this analysis. Copy number variants (CNV), single nucleotide variants (SNV) and structural variants (SV) were identified on all WGS samples using Facets, Mutect2 and Manta. Seed data from these CNV results was passed to the AmpliconArchitect tool to determine presence of focally amplified and rearranged segments of DNA. Seed CNV thresholds were set for a minimum CNV size of 100kb and a copy number of equal or greater to 5. Extrachromosomal calls were then annotated using the Amplicon Classifier to determine the presence of ecDNA. Multivariate survival analysis was performed after segregating samples into the conventional myeloma risk classifications including translocations, copy number alterations, ISS, age and mutations associated with risk. Differential expression analysis was performed on transcriptomic data using DEseq2. Results We identified 6.8% of the newly diagnosed patients with ecDNA, 12.5% with complex non-cyclic DNA amplifications and 10.1% with linear amplifications. ecDNA and complex events were targeting MM dependent genes, including MYC/PVT1, IRF4 as well as known driver genes such as CDYL and TRAF2. We further evaluated association between ecDNA, complex rearrangements, linear amplification and patients with none of these amplification types and found that patients with ecDNA had significantly poor PFS (median PFS 22 months vs. 41 months) and OS (median OS 41 months vs. 105 months). Patients having ecDNA in their MM cells did not show any significant enrichment for known translocations, double hit or TP53 mutations. In a multivariate model including ecDNA and all other known MM risk features, ecDNA was found to be an independent predictor of progression free survival.(HR 2.6, CI: 1.26 -5.6, p=0.0082) and overall survival (HR 7.94 CI:3.5-17.9 p &lt; 0.0001). Patients with ecDNA have higher mutational load probability(8798 vs 6982, effect size = 0.64 , probability is 91.1). However, this was not reflected in heterogeneity by using MATH score. We found that patients with ecDNA are likely to have BRAF mutations (OR= 25.07 [2.57 - 330 95% CI], p value = 0.002), however overall RAS/RAF pathway mutations were similar to other patients. Patients with ecDNA showed fragile DNA with more breaks (median segments 197 vs. 125.5, p value = 0.001). Although ecDNA is defined as copy number gain with fragments having 5 or more copies, overall genomic gain between ecDNA and other patients were similar. However, overall genomic loss in patients with ecDNA were higher than others (7% vs. 4.2%, p = 0.06). By differential gene expression analysis we noted 98 differentially expressed genes in MM cells with ecDNA. The downregulated geneset involved pathways responsible for cell death as well as the RAS pathway. Interestingly, CD38 was upregulated in the ecDNA dataset suggesting greater potential for CD38 targeting therapies in these patients. Conclusions ecDNA, as an unique marker of perturbed genomic integrity, is observed in a subset of patients and is an independent prognostic marker in newly diagnosed MM patients. As patients with ecDNA are not fully captured by other risk features its incorporation in an expanded definition of a high risk group of multiple myeloma should be investigated. Future studies will endeavor to explore the biological mechanism through which ecDNA are formed and influences outcomes in myeloma. Figure 1 Figure 1. Disclosures Richardson: Sanofi: Consultancy; GlaxoSmithKline: Consultancy; Karyopharm: Consultancy, Research Funding; AstraZeneca: Consultancy; AbbVie: Consultancy; Oncopeptides: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy; Protocol Intelligence: Consultancy; Celgene/BMS: Consultancy, Research Funding; Secura Bio: Consultancy; Regeneron: Consultancy; Jazz Pharmaceuticals: Consultancy, Research Funding. Perrot: Abbvie: Honoraria; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: 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; Sanofi: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Moreau: Abbvie: Honoraria; Amgen: Honoraria; Janssen: Honoraria; Sanofi: Honoraria; Celgene BMS: Honoraria; Oncopeptides: Honoraria. Thakurta: Oxford University: Other: Visiting Professor; BMS: Current Employment, Current equity holder in publicly-traded company. Anderson: Gilead: Membership on an entity's Board of Directors or advisory committees; Millenium-Takeda: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Sanofi-Aventis: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Scientific Founder of Oncopep and C4 Therapeutics: Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company; Mana Therapeutics: Membership on an entity's Board of Directors or advisory committees. Munshi: Legend: Consultancy; Karyopharm: Consultancy; Takeda: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Bristol-Myers Squibb: Consultancy; Amgen: Consultancy; Abbvie: Consultancy; Adaptive Biotechnology: Consultancy; Oncopep: Consultancy, Current equity holder in publicly-traded company, Other: scientific founder, Patents & Royalties; Celgene: Consultancy; Pfizer: Consultancy.

The Impact of Insurance Status at Diagnosis on Overall Survival in Chronic Myeloid Leukemia: A Population-Based Analysis

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 631-631
Author(s):  
Ashley M. Perry ◽  
Tao Zou ◽  
Andrew M. Brunner ◽  
Donna S Neuberg ◽  
Amir T. Fathi
Keyword(s):  
Overall Survival ◽  
Marital Status ◽  
Board Of Directors ◽  
Research Funding ◽  
Multivariable Analysis ◽  
Population Based ◽  
P Value ◽  
Insurance Status ◽  
Advisory Committees ◽  
Hispanic Ethnicity

Abstract Introduction: Survival among patients diagnosed with chronic myeloid leukemia (CML) has markedly improved with the advent of tyrosine kinase inhibitors. Nonetheless, access to care, including medication cost and adherence, may be barriers to therapeutic effectiveness. We performed a population-based analysis to determine if insurance status at the time of CML diagnosis influenced patient outcomes. Methods: We used the Surveillance, Epidemiology, and End Results Program (SEER) database (November 2014 submission) to identify patients age 15 or older, diagnosed with CML between 2007 and 2012 (SEER ICD-O3 recodes 9863 and 9875). We included patients with documented insurance status at diagnosis and categorized them as either private insurance, Medicaid coverage, or uninsured. We excluded patients with unknown insurance status at diagnosis. The primary outcome was overall survival according to insurance status. We performed a stratified analysis looking at patients age 15-64 and patients 65 or older; we did not include uninsured patients over age 65 in the analysis (n=16) due to Medicare eligibility. Covariates of interest in multivariable analysis included age at diagnosis, race, ethnicity, sex, and marital status at diagnosis. Overall survival was compared by log-rank test and estimated by the method of Kaplan and Meier. P-values were significant to the 2-sided 0.05 level. Results: 5784 patientswere diagnosed with CML between 2007 and 2012 and had insurance status documented at diagnosis. Of patients age 15-64, uninsured and Medicaid patients were younger, more often non-white race and Hispanic ethnicity, and less often married (Table 1). Over age 65, Medicaid patients were more often female, non-white race and Hispanic ethnicity, and less often married. Median follow up was 32 months. Among patients age 15 to 64, being uninsured or having Medicaid was associated with worse survival compared to insured patients (5-year OS uninsured 72.7%, Medicaid 73.1%, insured 86.6%, p<0.0001) (Figure 1A). For patients over age 65, there was no difference in 5-year OS between patients with Medicaid and those with other insurance (40.2% vs. 43.4%, p=0.0802). In multivariable analysis of patients age 15-64, compared to insured patients, there was increased mortality among patients who were uninsured (HR 2.156, p<0.0001) or on Medicaid (HR 1.972, p<0.0001). There was worse survival with increased age (HR 1.046 per year, p<0.0001), male sex (HR 1.282, p=0.0279) and, compared to married persons, being single (HR 1.883, p<0.0001). For patients over age 65 at diagnosis, only age was associated with increased mortality (HR 1.078 per year, p<0.0001). Conclusions: CML patients under age 65 without insurance or with Medicaid had significantly worse survival compared to patients with insurance. This difference was not noted with patients over age 65; whose survival was relatively poorer regardless of insurance status, as previously described (Cancer 2013;119:2620). Marital status and race/ethnicity also impacted survival. Despite highly effective therapies currently available for CML, these findings suggest that many patients may not have access to or receive appropriate care, in part related to insurance coverage. Table 1. Patient Demographics Age 15-64 p-value Age 65+ p-value (3626 patients) (2142 patients) Uninsured Medicaid Insured Medicaid Insured Total, n (%) 321 (8.9%) 595 (16.4%) 2710 (74.7%) 190 (8.9%) 1952 (91.1%) Age, median (range) 44 (18-64) 45 (15-64) 50 (15-64) <0.0001 75 (65-97) 76 (65-102) 0.5388 Gender, n (%) 0.0482 0.0074 Male 203 (63%) 328 (55%) 1603 (59%) 86 (45%) 1087 (56%) Female 118 (37%) 267 (45%) 1107 (41%) 105 (55%) 865 (44%) Race, n (%) <0.0001 <0.0001 White 231 (72%) 402 (68%) 2112 (78%) 131 (69%) 1724 (89%) Black 68 (21%) 114 (19%) 313 (12%) 26 (14%) 144 (7%) American Indian 2 (1%) 25 (4%) 13 (0.5%) 2 (1%) 7 (0.4%) Asian, Pacific Islander 15 (5%) 48 (8%) 215 (8%) 30 (16%) 65 (3%) Unknown 5 (2%) 6 (1%) 57 (2%) 1 (0.5%) 12 (0.6%) Hispanic Ethnicity, n (%) <0.0001 <0.0001 Non- 234 (73%) 420 (71%) 2341 (86%) 151 (79%) 1813 (93%) Hispanic Hispanic 87 (27%) 175 (29%) 369 (14%) 39 (21%) 139 (7%) Marital Status, n (%) <0.0001 <0.0001 Single 141 (46%) 281 (50%) 588 (23%) 41 (23%) 153 (9%) Married/partner 123 (40%) 194 (34%) 1652 (65%) 67 (37%) 1069 (59%) Divorced/separated/widowed 45 (15%) 90 (16%) 288 (11%) 72 (40%) 578 (32%) Figure 1. Survival of patients (A) age 15-64 and (B) age 65+ by insurance status at diagnosis. Figure 1. Survival of patients (A) age 15-64 and (B) age 65+ by insurance status at diagnosis. Disclosures Fathi: Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda Pharmaceuticals International Co.: Research Funding; Ariad: Consultancy; Exelexis: Research Funding; Agios: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees.

scholarly journals General Characteristics and Association of Myeloid Neoplasm with Thyroid Cancer

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4634-4634
Author(s):  
Shehab Fareed Mohamed ◽  
Naveen Pemmaraju ◽  
Koji Sasaki ◽  
Gautham Borthakur ◽  
Tareq Abuasba ◽  
...  
Keyword(s):  
Overall Survival ◽  
Thyroid Cancer ◽  
Board Of Directors ◽  
Research Funding ◽  
Myeloproliferative Neoplasms ◽  
Advisory Committees ◽  
Risk Of Death ◽  
Myeloid Neoplasm ◽  
Significant Difference ◽  
The Relationship

Abstract Introduction Differentiated thyroid cancer (DTC) is the most common endocrine malignancy. Treatment options include surgery, radioiodine & hormonal therapy. Radioiodine therapy (RAI) is often used after surgery with the purpose of ablation of residual thyroid tissue, adjuvant therapy or clinically evident metastatic disease. However, the use of RAI carries a risk of secondary malignancies, such as leukemias. The 10-yr survival rate of patients with DTC &gt; 90%. However, several studies showed those patients may be at risk for secondary cancers. Therapy related myeloid neoplasm (tMN) can develop after RAI exposure. The relationship between thyroid and myeloid neoplasm (MN) may not be fully explained by exposure to RAI. In this retrospective study, we investigated the association between MN & DTC. Methods This study included patients &gt;18years with DTC and either MN ((Acute Myeloid Leukemia (AML), Myelodysplastic syndrome (MDS), Chronic myelomonocytic leukemia (CMML), or Myeloproliferative Neoplasms (MPN) who had been diagnosed and/or treated at UTMD Anderson Cancer Center from 1/2012-12/2020 Descriptive statistics were performed to define the demographic, clinical and biological characteristics of the patients included in the study. Results Fifty-four pts had both DTC and MN. The median age was 52 yrs (18-77). Most of the patients were white 41/54 (75.9%) with equal sex distribution and of the papillary subtype of DTC 48 (88.8%). DTC stages were I (15(42.86%), II -15 (42.86%) III & IV- 5 cases (14.29%). Of the MN patients, AML/MDS cases were 30 (56.36%), while MPNs cases were 24(43.64%). Majority were CML 13/24 (54%) (p =0.01). The most common cytogenetics karyotypes detected were diploid in 17 (30.91%) followed by complex in 8 patients (14.55%). The most frequent positive mutation was FLT3 in 6 cases (10%) followed by TP53 and ASXL1 with 5 (9.26%) patients respectively. While the mutation panel were negative in 16 patients (29.63%). RAI was used in 42(76.36%) patients, with a median dose 142 mCi (75-290). Thirty patients (70%) of those treated with RAI developed therapy related MN, while 12 patients had MN earlier occurred first in 34 patients (61.82%) (proceeded AML/MDS in 23 (74.19%) and 11(45.83%) (P= 0.005) in cases of MPNs. The median time lapse from developing thyroid to myeloid cancer was 4 years. Thyroid cancer proceeded AML or MDS by 2.5 years, while thyroid cancer happened around the same year (0.09) with MPNs (p= 0.04) Table 1 A hypomethylating agent (HMA) based therapy for myeloid neoplasm was the most commonly used in 15 (42.86%), other therapies included cytarabine (5), cladribine (4) & fludarabine (3) based .37 pts (67.27 %) achieved complete remission, while 18 (32.73%) underwent stem cell transplantation. Overall survival showed that 40 (74%) were still alive. Therapy related AML/MDS Overall survival were inferior to non-therapy related patient (p= 0.29) figure 1. Patients who had 3 or 4 types of cancer to the group who had only thyroid and myeloid cancer showed increase risk of death with a hazard ratio of 1.72 (0.62-4.77 however this was not statistically significant also (p= 0.30). Conclusion In our cohort patients who were exposed to Radioiodine (RAI) had developed therapy related myeloid neoplasm (t-MN) AML/MDS even with doses &lt; 100 mCi. Median to develop neoplasm (t-MN) were 4 years, complex cytogenetics is frequent. No statistically significant difference in survival between therapy related and none therapy related group. DTC did occur with MPNs as well with CML most frequent subtype. Prospective studies need to be done to further elucidate the relationship between DTC & MPN. Figure 1 Figure 1. Disclosures Pemmaraju: ASCO Leukemia Advisory Panel: Membership on an entity's Board of Directors or advisory committees; Affymetrix: Consultancy, Research Funding; ASH Communications Committee: Membership on an entity's Board of Directors or advisory committees; Cellectis S.A. ADR: Other, Research Funding; CareDx, Inc.: Consultancy; LFB Biotechnologies: Consultancy; MustangBio: Consultancy, Other; Plexxicon: Other, Research Funding; Aptitude Health: Consultancy; Stemline Therapeutics, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Abbvie Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Protagonist Therapeutics, Inc.: Consultancy; Incyte: Consultancy; Sager Strong Foundation: Other; Daiichi Sankyo, Inc.: Other, Research Funding; HemOnc Times/Oncology Times: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Consultancy; Samus: Other, Research Funding; Novartis Pharmaceuticals: Consultancy, Other: Research Support, Research Funding; Springer Science + Business Media: Other; Dan's House of Hope: Membership on an entity's Board of Directors or advisory committees; DAVA Oncology: Consultancy; Roche Diagnostics: Consultancy; Clearview Healthcare Partners: Consultancy; Blueprint Medicines: Consultancy; Bristol-Myers Squibb Co.: Consultancy; ImmunoGen, Inc: Consultancy; Pacylex Pharmaceuticals: Consultancy. Sasaki: Novartis: Consultancy, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees. Verstovsek: Promedior: Research Funding; PharmaEssentia: Research Funding; NS Pharma: Research Funding; Ital Pharma: Research Funding; Incyte Corporation: Consultancy, Research Funding; Gilead: Research Funding; Genentech: Research Funding; CTI BioPharma: Research Funding; Celgene: Consultancy, Research Funding; Blueprint Medicines Corp: Research Funding; AstraZeneca: Research Funding; Protagonist Therapeutics: Research Funding; Roche: Research Funding; Novartis: Consultancy, Research Funding; Sierra Oncology: Consultancy, Research Funding; Constellation: Consultancy; Pragmatist: Consultancy.

scholarly journals Interim or End of Treatment FGD-PET Complete Response Does Not Have Adequate Predictive Value in Mature T/NK Cell Lymphoma

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1813-1813
Author(s):  
Tatyana Feldman ◽  
Larysa Sanchez ◽  
Patrick Toth ◽  
David Panush ◽  
Lori A Leslie ◽  
...  
Keyword(s):  
Overall Survival ◽  
Board Of Directors ◽  
Predictive Value ◽  
Research Funding ◽  
Nk Cell ◽  
Progression Free Survival ◽  
Advisory Committees ◽  
Free Survival ◽  
Significant Difference

Abstract Introduction: Cure rate of Mature T/NK cell lymphoma (TCL) is rather low and multiple trials are being conducted to improve frontline therapy outcomes. Consolidation with autologous stem cell transplant is becoming widely used as a mean of improving survival (SCT). Based on data from several retrospective trials, pts who achieve CR may not benefit from consolidative SCT. There is no data available on the role of PET-CR as defined by using Deauville criteria (which became standard in response assessment of NHL (The Lugano Classification 2014)). We performed retrospective analysis of 59 pts with TCL examining the correlation between PFS/OS and iPET and eotPET. Methods: 59 pts newly diagnosed pts with TCL treated between 2008-2016 for whom interim and eotPET scan were available. It was our routine practice to obtain baseline, interim (after 3 cycles of chemotherapy) and eotPET. Pathology slides of outside cases were centrally evaluated by a hematopathologist to confirm diagnosis. Baseline, interim and eotPET were centrally reviewed by a nuclear medicine radiologist blinded to clinical outcomes who assigned Deauville score (DS) to every PET. Responses were recorded according to the Lugano classification 2014. Descriptive statistics and Kaplan Meier method was used to calculate the Progression-free survival (PFS) and Overall survival (OS), two-sided Log-rank test was used to compare OS and PFS between PET groups. Results: Detailed demographic is presented in Table1. Median age at diagnosis is 59, sixty two percent males, 37% female; ALCL 34%, PTCLnos 22%, AITL 19%, and ATLL 10%; most of pts were advanced stage. Most common chemotherapy regimens used were CHOP/CHOEP, HCVAD, and CODOX, SMILE. Median follow up time for the entire cohort was 22.7mo. Forty nine percent of pts progressed and 29% of pts died during follow up. Cause of death for majority of pts was disease progression. Following Deauville scores were assigned on iPET and eotPET respectively: DS1 in 37% and 39%, DS2 in 30% and 35%, DS3 in 15% and 6%, DS4 in 9% and 4%, DS5 in 9% and 16%. We analyzed mPFS and mOS for PET-CR using DS1-2 or DS1-3 to define it. Sixty seven percent and 82% were considered in PET-CR on iPET based on DS 1-2 and DS 1-3 respectively. PET-CR went up to 77% and 83% respectively on eotPET. For final analysis, DS1-2 was used to define PET-CR as no statistically significant difference in mPFS and mOS was noted between DS1-2 and DS1-3. With median follow up of 22.7mo, two-year mPFS and mOS for the cohort were 50% and 74% respectively. Two- year mPFS for iPET-CR and eotPET-CR were 62%. Two-year mOS for iPET-CR and eotPET-CR were 86%% and 83%. Two-year mPFS for iPET-PR and eotPET-PR were 37% and 67%. Two-year mOS for iPET-PR and eotPET-PR were 70% and 100 % (not statistically significant difference with PET-CR mPFS and mOS). None of the pts with PD on iPET were alive at two year. Two-year mOS for eotPET-SD and eotPET-PD are 40%. Negative predictive value of iPET and eotPET is 61%, positive predictive value is 65% and 72% respectively. Conclusion: While PET-SD and PD is quite predictive of poor survivorship, significant number of PET-CR pts will relapse. Even though PET-CR rate to frontline therapy is high, it does not translate into durable responses for significant number of pts with TCL. Thus, PET-CR is not a sensitive enough measure to be considered as a predictor of long-term remission in TCL. It is important to develop response assessment tools which will correlate better with long term survivorship of TCL patients. Figure 1 Overall survival stratified on PET response Figure 1. Overall survival stratified on PET response Figure 2 Progression free survival stratified on PET response Figure 2. Progression free survival stratified on PET response Disclosures Feldman: Pharmacyclics: Speakers Bureau; Celgene: Speakers Bureau; Seattle Genetics: Consultancy, Speakers Bureau; Abbvie: Consultancy, Speakers Bureau. Leslie:Seattle Genetics: Speakers Bureau; Celgene: Speakers Bureau. Skarbnik:Pharmacyclics: Consultancy, Speakers Bureau; Genentech: Consultancy, Speakers Bureau; Abbvie: Consultancy, Speakers Bureau. Mato:Theradex: Research Funding; TG Therapeutics: Research Funding; ProNAi: Research Funding; Gilead Sciences: Research Funding; Acerta Pharma: Research Funding; Abbvie: Research Funding; TG Therapeutics: Consultancy; Pharmacyclics: Consultancy; Gilead Sciences: Consultancy; Abbvie: Consultancy. Chow:Seattle Genetics: Speakers Bureau. Protomastro:COTA: Employment. Leslie:Celgene: Speakers Bureau; Seattle Genetics: Speakers Bureau. Goy:Acerta: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Writing support, Speakers Bureau; Pharmacyclics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Genentech: Research Funding; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau.

scholarly journals Sex Differences in Multiple Myeloma Biology and Clinical Outcomes: Results from 3894 Patients in the Myeloma XI Trial

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4374-4374 ◽  
Author(s):  
Sarah Anne Bird ◽  
David Cairns ◽  
Faith E. Davies ◽  
Kevin Boyd ◽  
Gordon Cook ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
Sex Differences ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Cell Transplant ◽  
Advisory Committees ◽  
Significant Difference ◽  
Males And Females

Introduction: Multiple myeloma (MM) is more common in men than women but the mechanism(s) driving this are not understood. In our previous study (Myeloma IX) we found sex disparities in the cytogenetic lesions present in myeloma cells at the time of diagnosis and that female sex was associated with reduced overall survival in the context of treatment with traditional chemotherapy (CVAMP/MP) and thalidomide combinations. Here, we evaluate sex differences in almost 4000 patients recruited to the UK NCRI Myeloma XI trial, in which treatment exposure to lenalidomide predominated. Methods: Myeloma XI recruited newly diagnosed patients of all ages, with pathways for transplant eligible (TE) and ineligible (TNE) patients. An induction randomisation compared the triplet combination of cyclophosphamide, lenalidomide and dexamethasone to a similar combination with thalidomide (CRD vs CTD). Eligible patients underwent autologous stem cell transplant (ASCT) and in both pathways a maintenance randomisation compared lenalidomide (+/-vorinostat) until disease progression versus observation. We compared baseline characteristics of males and females using Fisher's Exact test for categorical characteristics and the Wilcoxon-Mann-Whitney test for continuous characteristics with p<0.05 the level considered statistically significant. We compared outcomes, progression-free (PFS) and overall survival (OS), using the log-rank test. Adverse cytogenetic lesions, analysed in a subset of 1610 patients, were defined as t(4;14), t(14;16), t(14;20), del(17p) and gain(1q). Standard risk (SR) was defined as the absence of any of these lesions, High-risk (HiR) as one lesion present and Ultra High-risk (UHiR) as >1 lesion present. Results: Of 3894 patients enrolled in the trial 2268 (58%) were male and 1626 (42%) were female, in keeping with the known sex disparity in MM. There was no difference in the median age, WHO performance status, ethnicity and most laboratory values of the two groups. Females were more likely to have the molecular risk lesions t(14;16) and del(17p) and had proportionately more HiR and UHiR disease, Table 1. Despite these differences, PFS and OS from induction randomisation did not significantly differ (PFS: Males 25 months, [95% CI 24, 26], Females 24 months, [95% CI 22, 25] and OS: Males 67 months, [95% CI 62, 70], Females 70 months, [95% CI 64, 74]). Molecular lesions that have been associated with outcome remained prognostic in both sexes, with a stepwise reduction in PFS and OS with cumulative risk lesions. PFS: Males SR 29 months, HiR 23 months, UHiR 16 months (p < 0.0001), Females SR 27 months, HiR 18 months, UHiR 17 months (p = 0.0007); OS: Males SR 77 months, HiR 59 months, UHiR 34 months (p < 0.0001), Females SR 82 months, HiR 54 months, UHiR 41 months (p < 0.0001). There was, however, no significant difference in PFS or OS when we compared males and females with a given cytogenetic lesion or cytogenetic risk. There was a significant difference in the proportion of patients of either sex who continued through the trial and underwent ASCT in the TE pathway (Males 72%, Females 67%; p = 0.031), but no significant difference in those that entered the maintenance randomisation (TE: Males 56%, Females 50%, p = 0.107; TNE Males 45%, Females 42%, p = 0.249). There was no significant PFS or OS difference by sex when analysed within each treatment pathway (TE, TNE), induction regimen (CTD, CRD) and maintenance approach (lenalidomide maintenance, observation). Conclusions: Females had a higher proportion of the adverse molecular risk lesions del(17p) and t(14;16) and were more likely to have HiR and UHiR disease. In the context of Myeloma XI trial treatment this did not correspond to a difference in PFS or OS, either overall or within the induction or maintenance randomisation treatment options (even though males were more likely to undergo ASCT). This suggests that in women the treatment delivered may have been able to overcome some of the adverse effect of the risk lesions present or that other factors affecting outcome were more important. on behalf of the NCRI Haematological Oncology Clinical Studies Group. Disclosures Cairns: Celgene, Amgen, Merck, Takeda: Other: Research Funding to Institution. Davies:Janssen, Celgene: Other: Research Grant, Research Funding; Amgen, Celgene, Janssen, Oncopeptides, Roche, Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Consultant/Advisor. Boyd:Novartis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Cook:Celgene, Janssen-Cilag, Takeda: Honoraria, Research Funding; Janssen, Takeda, Sanofi, Karyopharm, Celgene: Honoraria, Speakers Bureau. Drayson:Abingdon Health: Consultancy, Equity Ownership. Gregory:Abbvie, Janssen: Honoraria; Amgen, Merck: Research Funding; Celgene: Consultancy, Research Funding. Jenner:Abbvie, Amgen, Celgene, Novartis, Janssen, Sanofi Genzyme, Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Jones:Celgene: Honoraria, Research Funding. Kaiser:Takeda, Janssen, Celgene, Amgen: Honoraria, Other: Travel Expenses; Celgene, Janssen: Research Funding; Abbvie, Celgene, Takeda, Janssen, Amgen, Abbvie, Karyopharm: Consultancy. Owen:Celgene, Janssen: Honoraria; Celgene, Janssen: Consultancy; Celgene: Research Funding; Janssen: Other: Travel expenses. Russell:DSI: Consultancy, Honoraria, Speakers Bureau; Jazz: Consultancy, Honoraria, Speakers Bureau; Pfizer Inc: Consultancy, Honoraria, Speakers Bureau; Astellas: Consultancy, Honoraria, Speakers Bureau. Morgan:Bristol-Myers Squibb, Celgene Corporation, Takeda: Consultancy, Honoraria; Amgen, Janssen, Takeda, Celgene Corporation: Other: Travel expenses; Celgene Corporation, Janssen: Research Funding. Jackson:Celgene, Amgen, Roche, Janssen, Sanofi: Honoraria. Pawlyn:Amgen, Celgene, Takeda: Consultancy; Amgen, Janssen, Celgene, Takeda: Other: Travel expenses; Amgen, Celgene, Janssen, Oncopeptides: Honoraria. OffLabel Disclosure: CTD/CRD induction therapy for myeloma, Lenalidomide maintenance 10mg 21/28 days

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