scholarly journals Does Addition of Rituximab (R) to BEAM Conditioning Improve Outcomes of Patients with Diffuse Large B-Cell Lymphoma (DLBCL) Undergoing Autologous Hematopoietic Cell Transplantation (auto-HCT)?

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 785-785
Author(s):  
Deepa Jagadeesh ◽  
Navneet S. Majhail ◽  
He Yizeng ◽  
Kwang Woo Ahn ◽  
Carlos Litovich ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Cumulative Incidence ◽  
Research Funding ◽  
B Cell Lymphoma ◽  
Older Age ◽  
Disease Stage ◽  
Karnofsky Performance Score ◽  
Advisory Committees ◽  
Significant Difference ◽  
The Impact

Introduction: Rituximab-based high-dose therapy (HDT) is frequently prescribed to DLBCL patients (pts) undergoing auto-HCT. However data supporting the benefit of adding R to auto-HCT conditioning are not available. Herein, we report the impact of R-based conditioning on auto-HCT outcomes of DLBCL pts. Methods: Using the Center for International Blood and Marrow Transplant Research registry, 862 adult (≥18 years) DLBCL pts undergoing auto-HCT, between 2003-2017 were included. Analysis was limited to pts receiving BEAM (BCNU, etoposide, cytarabine, melphalan)-based HDT, as R was infrequently used with non-BEAM conditioning regimens. All pts received R-containing chemoimmunotherapy in the frontline setting and had chemosensitive disease prior to HCT. Early chemoimmunotherapy failure (ECitF) was defined as not achieving a complete remission (CR) after frontline chemoimmunotherapy or relapsing within 1 year of initial diagnosis. Primary outcome was overall survival (OS). Secondary outcomes included non-relapse mortality (NRM), relapse, progression-free survival (PFS) and infectious complications within 100 days post-HCT. Results: The study cohort was divided into 2 groups; BEAM (n=667) and R-BEAM (n=195). The baseline characteristics of the 2 cohorts were comparable including age at auto-HCT, disease stage, Karnofsky performance score, extranodal involvement, time from diagnosis to auto-HCT, number of prior therapies, remission status, and ECitF. However, significantly more R-BEAM cohort patients received R as part of last therapy line before auto-HCT (75% vs. 86%; P=0.001). Median follow-up of survivors was 48 (range 1-171) and 64 (range 3-142) months in the BEAM and R-BEAM cohorts, respectively. On univariate analysis, the 4 year cumulative incidence of relapse (41% vs 44%), NRM (11% vs 9%), PFS (48% vs 47%; Figure 1) and OS (58% vs 61%; Figure 2) were similar in the R-BEAM and BEAM groups, respectively (Table 1). On multivariate analysis, no significant difference was seen in OS (HR 0.81; 95% CI 0.81-1.31; P=0.83) or PFS (HR 0.94; 95% CI 0.76-1.18; P=0.61) (Table 1) between the two cohorts. Addition of R had no impact on risk of relapse (HR 0.83; 95% CI 0.65-1.07; P=0.15) or NRM (HR 1.43; 95% CI 0.909-2.26; P=0.12). Variables independently associated with lower OS included older age (HR 3.05; 95% CI 1.81-5.13; P<0.001), not being in CR at auto-HCT (HR 1.67, 95% CI 1.39-2.07; P<0.001) and presence of ECitF (HR 1.52, 95% CI 0.54-3.26; P<0.001). Older age (HR 2.26, 95% CI 1.48-3.45; P<0.0002) and not being in CR at auto-HCT (HR 1.78, CI 1.47-2.14; P<0.0001) were also associated with inferior PFS. There was no significant difference in the 100-day cumulative incidence of bacterial, viral or fungal infections between the two cohorts. Disease relapse was the main cause of death in both BEAM and R-BEAM cohorts (66% vs 55%). Conclusion: In this large registry analysis of DLBCL pts undergoing auto-HCT, adding R to BEAM conditioning had no impact on transplantation outcomes. Older age, absence of CR and ECitF were associated with inferior survival. Disclosures Majhail: Mallinckrodt: Honoraria; Incyte: Consultancy; Nkarta: Consultancy; Anthem, Inc.: Consultancy; Atara Bio: Consultancy. Sureda:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel Support; Gilead: Honoraria; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Honoraria, Speakers Bureau; Novartis: Honoraria; BMS: Honoraria; Roche: Honoraria; Sanofi: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kharfan-Dabaja:Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy. Hamadani:ADC Therapeutics: Consultancy, Research Funding; Merck: Research Funding; Takeda: Research Funding; Pharmacyclics: Consultancy; Celgene: Consultancy; Medimmune: Consultancy, Research Funding; Janssen: Consultancy; Otsuka: Research Funding; Sanofi Genzyme: Research Funding, Speakers Bureau.

Impact Of Liver Iron Overload On Myocardial T2* Response In Transfusion-Dependent Thalassemia Major Patients Treated With Deferasirox For Up To 3 Years

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1016-1016 ◽  
Author(s):  
John Porter ◽  
Ali T Taher ◽  
Yesim Aydinok ◽  
Maria D Cappellini ◽  
Antonis Kattamis ◽  
...  
Keyword(s):  
Iron Overload ◽  
Board Of Directors ◽  
Research Funding ◽  
Iron Removal ◽  
Advisory Committees ◽  
Liver Iron ◽  
Cardiac Iron ◽  
Significant Difference ◽  
Liver Iron Overload ◽  
The Impact

Abstract Background Patients with myocardial iron overload require effective cardiac iron removal to minimize the risk of cardiac complications. The 3 year EPIC cardiac sub-study showed that the oral iron chelator, deferasirox (DFX), effectively reduced cardiac iron overload. Previous reports demonstrate that cardiac iron removal is slow and suggest that liver iron concentration (LIC) may affect cardiac iron removal rate by chelators (Pennell et al., 2012; Blood). The objective of these analyses was to evaluate the impact of the severity of the liver iron overload on the change in myocardial T2* (mT2*) for patients receiving up to 3 years of DFX treatment in the EPIC sub-study. Methods Inclusion and exclusion criteria have been described previously (Pennell et al., 2012; Haematologica). Patients were categorized into LIC ≤15 and >15 mg Fe/g dry weight (hereafter mg/g) at baseline (BL) and by LIC <7, 7–≤15 and >15 mg/g at 12, 24, and 36 months to assess the impact of BL LIC and changes in LIC overtime on mT2*, respectively. During study, LIC and mT2* were measured every 6 months. Efficacy was assessed in per-protocol population that entered third year extension. Here, mT2* is presented as the geometric mean (Gmean) ± coefficient of variation (CV) unless otherwise specified. Statistical significance was established at α-level of 0.05 using a 2-sided paired t-test for within group comparisons and ANOVA for multiple group comparisons. All p-values were of exploratory nature for this post-hoc analysis. Results Of the 71 patients, who continued into study year 3, 68 patients considered evaluable were included in this analysis (per protocol population); 59 patients had LIC values available at end of study (EOS). Mean age was 20.5 ±7.35 years and 61.8 % of patients were female. Mean actual dose of DFX (mg/kg/day) was 32.1 ±5.5 and 35.1 ±4.9 in patients with BL LIC ≤15 and >15 mg/g, respectively. At EOS, mean actual doses were 32.9 ±5.4 (LIC <7 mg/g), 38.0 ±3.4 (LIC 7–≤15 mg/g), and 37.6 ±3.1 (LIC >15 mg/g). Overall, patients had high BL LIC (Mean, 29.0 ±10.0 mg/g); 61 patients had LIC >15 (30.8 ±8.8) mg/g, only 7 patients had LIC ≤15 (12.7 ±1.1) mg/g, and no patients had LIC <7 mg/g. After 36 months, a significant mean decrease from BL in LIC of -7.6 ±4.6 mg/g (p = 0.0049) and -16.8 ±14.0 mg/g (p <0.001) was observed in patients with LIC ≤15 and >15 mg/g, respectively. Notably, 51.9% of patients with BL LIC >15 mg/g achieved EOS LIC <7 mg/g. Overall, mean mT2* was 12.8 ±4.6 ms. The impact of BL LIC on mT2* and LIC response was as follows: in patients with LIC ≤15 mg/g (Mean BL mT2*, 14.2 ±3.6 ms) and >15 mg/g (BL mT2*, 12.7 ±4.7 ms), mT2* increased by 52% (Mean abs. change, 7.5 ±4.1 ms, p=0.0016) and 46% (7.3 ±7.3 ms, p<0.001), respectively. Patients with BL LIC ≤15 normalized mT2* in 24 months (Mean, 20.0 ±6.0 ms) versus 36 months for patients with BL LIC >15 mg/g, (20.1 ±10.6 ms) displaying a lag of nearly 12 months. The relation between post-BL LIC on mT2* response at 12, 24 and 36 months is shown in the figure. At 12 months, there was no significant difference in mT2* that had occurred in patients with LIC <7 mg/g (24% increase; mean abs. change, 3.5 ±2.3 ms), LIC 7–≤15 mg/g (19% increase; 3.4 ±5.2 ms) and those with LIC >15 mg/g (13% increase; 1.9 ±3.2 ms). However, at 24 months, there was a statistically significant difference amongst the 3 subgroups in percent increase in the mT2* that had occurred; patients with LIC <7, LIC 7-≤15 and LIC >15 mg/g had 54% (Mean abs. change, 8.3 ±7.3 ms), 33% (5.2 ±5.2 ms) and 10% (2.1 ±4.3 ms) increase (p <0.001), respectively. Similarly, at 36 months, the mT2* had increased by 71% (Mean abs. change, 10.3 ±6.6 ms) in the LIC <7 mg/g group; a 31% increase (5.3 ±5.0 ms) had occurred in the LIC 7– ≤15 mg/g group; and an 18% (3.3 ±6.0 ms) increase (p <0.001) had occurred in the LIC >15mg/g group. At all-time points, in patients who achieved an LIC <7 mg/g, a statistically significant increase in T2* from BL had occurred. Discussion Overall, DFX treatment resulted in a significant decrease in LIC and improved mT2*. A greater difference in mT2* improvement was shown to have occurred in patients who achieved lower end-of-year LIC after treated with DFX. This divergence was progressive with time, being maximal at 36 months. Thus, a therapeutic response in LIC with DFX is associated with a greater likelihood of improving mT2*. This may assist in monitoring liver and cardiac response to DFX. Prospective evaluation of this relationship is indicated. Disclosures: Porter: Novartis Pharma: Consultancy, Honoraria, Research Funding; Shire: Consultancy, Honoraria; Celgene: Consultancy. Taher:Novartis Pharma: Honoraria, Research Funding. Aydinok:Novartis Oncology: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Shire: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Cappellini:Novartis Pharma: Honoraria, Speakers Bureau; Genzyme: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Kattamis:Novartis: Research Funding, Speakers Bureau; ApoPharma: Speakers Bureau. El-Ali:Novartis Pharma: Employment. Martin:Novartis Pharma: Employment. Pennell:Novartis: Consultancy, Honoraria, Research Funding; ApoPharma: Consultancy, Honoraria, Research Funding; Shire: Consultancy, Honoraria.

scholarly journals High-Dose Chemotherapy (HDC) with Autologous Stem-Cell Transplant (ASCT) with Consolidative Radiation Therapy (RT) for Relapsed or Refractory (R/R) Primary Mediastinal B-Cell Lymphoma (PMBCL): 20-Year Experience at MD Anderson Cancer Center (MDACC)

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 32-33
Author(s):  
Neeraj Saini ◽  
Junsheng Ma ◽  
Melissa Timmons ◽  
Amin M. Alousi ◽  
Paolo Anderlini ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
B Cell Lymphoma ◽  
Advisory Board ◽  
Older Age ◽  
Long Term Results ◽  
Cell Transplant ◽  
Research Support ◽  
Advisory Committees ◽  
Grant Support

Background Most PMBCL pts are cured with frontline chemoimmunotherapy ± RT. Data are scant regarding the role of HDC/ASCT for R/R PMBCL, and the benefit of RT administered peri-HDC/ASCT. Our institutional approach has focused on developing potentially more active HDC regimens, and on consideration of post-ASCT consolidation RT, especially for pts who had not achieved a CR at the time of HDC. Methods We retrospectively analyzed all patients (pts) with R/R PMBCL treated with HDC/ASCT at MDACC between 01/01/2000-12/31/2019. All pts underwent similar standard pre-SCT evaluation and met eligibility criteria as per our institutional guidelines. Response assessment differed over time and included CT and gallium scan (N=9) and PET/CT (N=49). Cox proportional hazards regression models evaluated the associations of the specific HDC regimen and clinical covariates of interest with EFS and OS. Results 58 pts received HDC/ASCT with BEAM-rituximab (N=36) or rituximab/gemcitabine/busulfan/melphalan ± vorinostat (R-GemBuMel) (n=22) (Table 1). The R-GemBuMel group included more pts pretreated with &gt;2 lines of therapy than the R-BEAM group (55% vs. 28%, p=0.025), had fewer pts in CR (41% vs. 69%, P=0.01) and more pts in PD/SD at ASCT (32% vs. 3%, P=0.01). Prior RT at a median 44 (36-48) Gy was administered to 29 pts (20 R-BEAM, 9 R-GemBuMel, P=0.27). Nineteen pts (89% not in CR at SCT) who had not previously received full doses of RT received post-SCT RT (6 after BEAM, 13 after R-GemBuMel, P&lt;0.001) at median 40 Gy (36-48). There were 2 treatment-related deaths in the R-BEAM arm, none in the R-GemBuMel arm. At median follow-up of 69.1 months (interquartile range, 36.5-85.2), the EFS rates were 57.6% (overall), 67.6% (R-GemBuMel) and 52.7% (R-BEAM) (Figure 1a). Their respective OS rates were 69.3%, 81.1% and 63.9% (Figure 1b). On multivariable Cox regression analyses, R-GemBuMel (vs. R-BEAM) (HR=0.29, p=0.05), and 1 organ involved (vs. &gt;1) (HR 0.28, p=0.009) were associated with improved EFS, whereas older age (HR= 1.08 per year above median, p=0.005), refractory disease (SD/PD) at SCT (vs. CR/PR) (HR 5.44, p=0.01) correlated with worse EFS. Likewise, R-GemBuMel (HR= 0.16, p=0.03) and 1 organ involved (HR=0.17, p=0.004) significantly resulted in improved OS, whereas older age (HR= 1.11, p=0.002), and refractory (SD/PD) disease at SCT (HR= 21.27, p=0.001) correlated with worse OS. Neither sex nor disease status (primary refractory vs. relapse) nor No. prior lines (2 vs. &gt;2) nor pre-SCT RT nor post-SCT RT correlated significantly with EFS or OS. Conclusions HDC/ASCT for R/R PMBCL pts, with post-SCT RT for pts with active disease at SCT, results in favorable long-term results. R-GemBuMel ± vorinostat seems to improve EFS and OS compared to R-BEAM. Disclosures Alousi: Incyte: Honoraria, Research Funding; Therakos: Research Funding; Alexion: Honoraria. Hosing:NKARTA Inc.: Consultancy. Kebriaei:Amgen: Other: Research Support; Ziopharm: Other: Research Support; Kite: Other: Served on advisory board; Pfizer: Other: Served on advisory board; Jazz: Consultancy; Novartis: Other: Served on advisory board. Popat:Bayer: Research Funding; Novartis: Research Funding. Qazilbash:Angiocrine: Research Funding; Bioline: Research Funding; Janssen: Research Funding; Bioclinica: Consultancy; Amgen: Research Funding. Shpall:Zelluna: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Magenta: Membership on an entity's Board of Directors or advisory committees; Takeda: Other: Licensing Agreement. Champlin:Takeda: Patents & Royalties; Genzyme: Speakers Bureau; Cytonus: Consultancy; Omeros: Consultancy; Actinium: Consultancy; Johnson and Johnson: Consultancy; DKMS America: Membership on an entity's Board of Directors or advisory committees. Nieto:Affimed: Consultancy, Other: Grant Support; Novartis: Other: Grant Support; Astra Zeneca: Other: Grant Support; Secura Bio: Other: Grant Support.

scholarly journals Older Age As a Prognostic Factor for Overall Survival for Multiple Myeloma Patients Undergoing Upfront Autologous Hematopoietic Stem Cell Transplantation

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2144-2144
Author(s):  
David M. Cordas Dos Santos ◽  
Rima M. Saliba ◽  
Romil Patel ◽  
Qaiser Bashir ◽  
Chitra Hosing ◽  
...  
Keyword(s):  
Stem Cell ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Older Age ◽  
Stage Ii ◽  
Advisory Committees ◽  
Post Transplant ◽  
Cart Analysis ◽  
Significant Difference

Abstract Background High-dose chemotherapy and autologous hematopoietic stem cell transplantation (auto-HCT) is considered the standard of care for newly diagnosed, transplant-eligible multiple myeloma (MM) patients. Due to improvements in induction, stem cell mobilization, and dose adjustment of the conditioning regimen, auto-HCT is increasingly used in older MM patients, with several retrospective analyses showing similar clinical outcomes compared to younger patients. Methods To further confirm these results, we performed a single-center retrospective analysis of MM patients undergoing auto-HCT between January 2006 and December 2016. Patients were divided into two groups: older (> 70 years) and younger (≤ 70 years). Results 1128 patients (182 older, 946 younger) were included in this analysis. Patient characteristics are summarized in the attached Table. More patients (59% vs. 45%, p = 0.01) in the older cohort had ISS stage II or III disease. Older cohort was more likely to receive reduced-dose melphalan (140 mg/m²) as conditioning regimen (32% vs 3%, p = <0.0001). There was no significant difference in high-risk cytogenetics, induction regimens, and response to induction, or post-transplant maintenance between the older and younger cohorts. The overall median follow-up among survivors was 49 months in the older and 52 months in the younger group. One-hundred-day non-relapse mortality (NRM) was 2/182 (1.1%) and 6/946 (0.6%) (p = 0.5) in the older and younger groups, respectively. However, 1-year NRM was significantly higher in the older vs. younger cohort (7 /182 (4%; unknown 3, pneumonia or respiratory failure 4) vs. 9/946 (1%; unknown 2, pneumonia or respiratory failure 4, cardiac failure 3), HR 4.1, p = 0.005). Post-transplant, 75 (41%) and 431 (45%) achieved complete remission (CR) in the older and younger groups, respectively (p = 0.29). There was no significant difference in the rate of disease progression post-transplant between older (31%) and younger (30%) groups (p = 0.3). The 5-year progression free survival (PFS) was 24% and 37% in the older and younger groups, respectively (HR 1.3, p = 0.02). Similarly, 5-year overall survival (OS) was 56% and 73% in the older and younger groups (HR 1.8, p = <0.001). In univariate analyses, age > 70 years, high-risk cytogenetics, serum creatinine level > 2 mg/dl and ISS stage III were associated with worse PFS and OS. In contrast, melphalan 200 mg/m² for conditioning and achievement of CR after induction therapy were associated with better PFS and OS. These 6 factors were studied in multivariate analyses using a classification and regression tree (CART) method. In CART analysis for PFS, ISS stage II or III, and high-risk cytogenetics were associated with shorter PFS. Similarly, in CART analysis for OS, older age (> 69 years), ISS stage II or III, and high-risk cytogenetics were associated with a shorter OS. Conclusion In this large single-center analysis, there was no difference in 100-day NRM, CR rates and the risk of progression after auto-HCT between the older and the younger patients. However, older age was associated with a shorter PFS and OS due to increased NRM. On multivariate CART analysis, ISS stage II or III and high-risk cytogenetics were associated with a worse PFS and OS, while age > 69 years was associated with a worse OS only. The impact of comorbidities on NRM is being evaluated in ongoing analyses. Disclosures Lee: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies Corporation: Consultancy; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Chugai Biopharmaceuticals: Consultancy; Takeda Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees. Patel:Abbvie: Research Funding; Takeda: Research Funding; Poseida Therapeutics, Inc.: Research Funding; Celgene: Research Funding. Thomas:Bristol Myers Squibb Inc.: Research Funding; Celgene: Research Funding; Acerta Pharma: Research Funding; Amgen Inc: Research Funding; Array Pharma: Research Funding. Orlowski:BioTheryX, Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees; Poseida: Research Funding; Bristol Myers Squibb: Consultancy; Genentech: Consultancy; Millenium Pharmaceuticals: Consultancy, Research Funding; Janssen Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Champlin:Otsuka: Research Funding; Sanofi: Research Funding.

Body Mass Index and Survival of Patients with Lymphoma

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 2-3
Author(s):  
Dai Chihara ◽  
Melissa C. Larson ◽  
Dennis P. Robinson ◽  
Carrie A. Thompson ◽  
Matthew J. Maurer ◽  
...  
Keyword(s):  
Body Mass Index ◽  
At Risk ◽  
Board Of Directors ◽  
Body Mass ◽  
Research Funding ◽  
B Cell Lymphoma ◽  
The United States ◽  
Advisory Committees ◽  
The Impact

Background: Obesity is increasing worldwide, with the highest prevalence in the United States. High or low body mass index (BMI) is a well-established risk factor for increased all-cause mortality and also has been associated with cancer-specific mortality. However, the impact of BMI on survival following diagnosis with lymphoma currently remains controversial. We leveraged a prospective cohort of lymphoma patients to assess the relationship of BMI two years prior to diagnosis (BMI-2), at diagnosis (BMI-dx), and three-years post-diagnosis (BMI+3) with lymphoma-specific survival (LSS) as the primary endpoint and with event-free survival (EFS) and overall survival (OS) as secondary endpoints. Patient and Method: Patients were prospectively enrolled at lymphoma diagnosis to the SPORE Molecular Epidemiology Resource (MER) cohort at Mayo Clinic and University of Iowa from 2002-2015. BMI-2 and BMI+3 were self-reported in patient questionnaires, while BMI-dx was extracted from the medical chart. Patients with extreme BMI (BMI &lt;14 and BMI ≥50) were excluded from the analysis. BMI change from BMI-2 to BMI-dx and from BMI-dx to BMI+3 was categorized as no change (-5% to 5%), decrease (&gt;-5%), and increase (&gt;+5%). Person-time at risk was assessed from lymphoma diagnosis until death or last follow-up, except for analyses of BMI change from BMI-dx to BMI+3, which started person-time at risk when the 3-year (+/- 6 months) follow-up questionnaire was returned. Cause of death was assigned by a study clinician. For all lymphoma patients combined and in the most common subtypes, we evaluated the association of BMI at each time point and change in BMI with EFS, LSS, and OS using hazard ratios (HRs) and 95% confidence intervals (CI) from multivariable adjusted Cox models. Results: A total of 4,009 lymphoma patients (including 670 diffuse large B-cell lymphoma [DLBCL], 689 follicular lymphoma [FL] and 1018 chronic lymphocytic leukemia/small lymphocytic lymphoma [CLL/SLL] and 1,632 others) with data on BMI-dx were included. Among them, 2,955 patients had BMI-2 and 2,004 had BMI+3 and were evaluable for change in BMI. The median age of all patients at diagnosis was 61 years (range 18-92 years), and 94% of patients had ECOG performance status &lt;2. At the time of diagnosis, 28% were normal weight (BMI 18.5-25), 1% were underweight (BMI &lt;18.5), 39% were overweight (BMI 25-30) and 32% were obese (BMI ≥30). With a median follow-up of 108 months from diagnosis (IQR 83-143 months), 1320 deaths were observed, 48% of which were due to lymphoma. Patients with FL who were obese at BMI-2 had significantly shorter LSS (HR: 3.02, 95%CI: 1.43-6.41, p=0.004). Associations between obesity at BMI-2 and LSS were not evident for DLBCL (HR: 1.04, 95%CI: 0.62-1.76, p=0.879) or CLL/SLL (HR: 1.10, 95%CI: 0.71-1.70, p=0.668) (Table). BMI-dx was not associated with LSS in any lymphoma patients, except that DLBCL patients who were underweight at BMI-dx (n=10) experienced shorter LSS (HR: 3.52, 95%CI: 1.22-10.1, p=0.020). This correlated significantly with presence of B symptoms (p=0.004) and may signify aggressive disease. Across all subtypes, &gt;5% decrease in BMI from BMI-2 to BMI-dx was associated with significantly shorter LSS in patients with (HR: 2.02, 95%CI: 1.65-2.48, p&lt;0.001). However, only for FL patients, &gt;5% increase in BMI from BMI-dx to BMI+3 also was associated with significantly shorter LSS in subsequent years (HR: 3.74, 95%CI: 1.30-10.8, p=0.014). The associations reported for LSS generally were similar for EFS and OS. Conclusions: FL patients with obesity prior to diagnosis or who experienced increasing BMI after the diagnosis had significantly shorter LSS. The impact of weight control after the diagnosis of FL patient outcomes warrants investigation. Figure Disclosures Maurer: Celgene / BMS: Research Funding; Kite: Membership on an entity's Board of Directors or advisory committees; Morphosys: Membership on an entity's Board of Directors or advisory committees; Nanostring: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees. Flowers:Leukemia and Lymphoma Society: Membership on an entity's Board of Directors or advisory committees; Denovo Biopharma: Consultancy; Celgene: Consultancy, Research Funding; BeiGene: Consultancy; Kite: Research Funding; Bayer: Consultancy; Eastern Cooperative Oncology Group: Research Funding; Cancer Prevention and Research Institute of Texas: Research Funding; National Cancer Institute: Research Funding; AbbVie: Consultancy, Research Funding; V Foundation: Research Funding; TG Therapeutics: Research Funding; Burroughs Wellcome Fund: Research Funding; Millennium/Takeda: Consultancy, Research Funding; Acerta: Research Funding; Spectrum: Consultancy; Pharmacyclics/Janssen: Consultancy; Karyopharm: Consultancy; OptumRx: Consultancy; Gilead: Consultancy, Research Funding; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy, Research Funding. Cerhan:NanoString: Research Funding; BMS/Celgene: Research Funding.

scholarly journals Comparison of Reduced-Intensity Conditioning (RIC) Regimens for Allogeneic Hematopoietic Cell Transplantation (alloHCT) in Non-Hodgkin Lymphomas (NHL)-a Center for International Blood & Marrow Transplant Research (CIBMTR) Analysis

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 319-319
Author(s):  
Nilanjan Ghosh ◽  
Sairah Ahmed ◽  
Carlos Litovich ◽  
Kwang Woo Ahn ◽  
Manoj Khanal ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Cumulative Incidence ◽  
Research Funding ◽  
Chronic Gvhd ◽  
Conditioning Regimen ◽  
Advisory Committees ◽  
Gvhd Prophylaxis ◽  
Conditioning Regimens ◽  
The Impact ◽  
Reduced Intensity

Introduction: Reduced-intensity and non-myeloablative (RIC/NMA) conditioning regimens are frequently used in alloHCT for NHL, because they are associated with decreased non-relapse mortality (NRM) risk in comparison with myeloablative conditioning regimens and allow older patients and patients with comorbidities to receive alloHCT. However, the optimal RIC/NMA regimen in allo-HCT for NHL is not known. Using the CIBMTR database we compared the transplant outcomes between the commonly used RIC/NMA regimens in NHL. Methods: 1823 adult (≥18 years) NHL patients in CIBMTR registry undergoing alloHCT using matched related or unrelated donors, between 2008-2016 were included. Analysis was limited to patients receiving four commonly used RIC/NMA regimens: fludarabine/ i.v. busulfan (6.4mg/kg) (Flu/Bu), fludarabine/melphalan (140mg/m^2) (Flu/Mel 140), fludarabine/cyclophosphamide (Fly/Cy) and Flu/Cy with 2Gy Total Body Irradiation (Flu/Cy/TBI). Graft-versus-host disease (GVHD) prophylaxis was limited to calcineurin inhibitor-based regimens. Patients who received post transplantation cyclophosphamide for GVHD prophylaxis were excluded. The primary outcome was overall survival (OS). Secondary outcomes included cumulative incidence of NRM, relapse, progression-free survival (PFS) and cumulative incidence of acute and chronic GVHD. Probabilities of OS and PFS were calculated using the Kaplan-Meier estimator. Multivariable regression analysis was performed for GVHD, relapse/progression, NRM, PFS, and OS. Covariates with a p&lt;0.01 were considered significant. Results: The study cohort was divided into 4 groups; Flu/Bu (n=458), Flu/Cy/TBI (n=89), Flu/Mel 140 (n=885) and Flu/Cy (n=391). The baseline characteristics are shown in Table 1. The 4 cohorts were comparable with respect to median patient age, gender, donor type, remission status at alloHCT, and use of prior auto HCT. There was no interaction between NHL histological subtype and type of conditioning regimen. Results of multivariate analysis are shown in Table 2. The Flu/Mel 140 regimen was associated with a higher NRM (HR 1.78, 95% CI 1.37-2.31; p&lt;0.001) when compared to Flu/Bu. Although the risk of relapse with Flu/Mel 140 was lower when compared to Flu/Bu (HR 0.79, 95% CI 0.66-0.94); p=0.007), this did not result in an improvement in PFS. Moreover, the Flu/Mel 140 cohort had an inferior OS (HR 1.34, 95% CI 1.13-1.59; p&lt;0.001) when compared to Flu/Bu. There was no significant difference in terms of OS, PFS, relapse and NRM between Flu/Bu, Flu/Cy and Flu/Cy/TBI. There was no difference in risk of grade 3-4 acute GVHD across the four cohorts and compared to Flu/Cy/TBI, Flu/Mel 140 had a higher risk of chronic GVHD (HR 1.38, 95% CI 1.15-1.65; p&lt;0.001). Four year adjusted PFS was 38% for Flu/Bu, 51% for Flu/Cy/TBI, 39% for Flu/Mel 140 and 35% for Flu/Cy (p=0.07). Four year adjusted OS was 58% for Flu/Bu, 67% for Flu/Cy/TBI, 49% for Flu/Mel 140 and 63% for Flu/Cy (p&lt;0.001). Disease relapse was the most common cause of death across all 4 cohorts. Conclusion: This is the largest analysis comparing the impact of various RIC/NMA conditioning regimens on the outcomes of NHL patients undergoing alloHCT. We report that the choice of RIC/NMA conditioning regimen significantly impacted OS. The most commonly used conditioning regimen, Flu/Mel 140 was associated with a higher NRM and an inferior OS. The Flu/Bu, Flu/Cy, and Flu/CY/TBI conditioning regimens appear to provide comparable OS. Disclosures Ghosh: Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Pharmacyclics LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Honoraria, Speakers Bureau; Gilead: Consultancy, Honoraria, Speakers Bureau; SGN: Consultancy, Honoraria, Research Funding, Speakers Bureau; TG Therapeutics: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Research Funding; Genentech: Research Funding; Forty Seven Inc: Research Funding; AstraZeneca: Honoraria, Speakers Bureau. Kharfan-Dabaja:Pharmacyclics: Consultancy; Daiichi Sankyo: Consultancy. Sureda:Amgen: Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria; Sanofi: Honoraria; Takeda: Consultancy, Honoraria, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel Support; Novartis: Honoraria; Roche: Honoraria. Hamadani:Merck: Research Funding; ADC Therapeutics: Consultancy, Research Funding; Celgene: Consultancy; Otsuka: Research Funding; Medimmune: Consultancy, Research Funding; Takeda: Research Funding; Pharmacyclics: Consultancy; Janssen: Consultancy; Sanofi Genzyme: Research Funding, Speakers Bureau.

scholarly journals Monitoring of Minimal Residual Disease (MRD) of DNMT3A Mutations (DNMT3Amut) in Acute Myeloid Leukemia (AML): A Study of the AML Study Group (AMLSG)

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 226-226 ◽  
Author(s):  
Verena I. Gaidzik ◽  
Daniela Weber ◽  
Peter Paschka ◽  
Anna Kaumanns ◽  
Stefan Krieger ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Continuous Variable ◽  
Prognostic Impact ◽  
Advisory Committees ◽  
Clinical Endpoints ◽  
Clonal Hematopoiesis ◽  
Significant Difference ◽  
The Impact

Abstract Background: The DNA methyltransferase 3A (DNMT3A) is one of the most frequent mutated genes in AML with a hot spot mutation at codon R882 in 80% of the DNMT3Amut cases. In most of the studies DNMT3Amut predicts for poor overall (OS) and relapse-free survival (RFS). Recently, DNMT3Amut have been associated with age-related clonal hematopoiesis, and they have been identified in early preleukemic stem cells. These findings suggest that DNMT3Amut represents an early event in leukemogenesis and may be part of the leukemia founder clone in most AMLs harboring a DNMT3Amut. We thought to address the question whether MRD monitoring in DNMT3Amut patients (pts) can be used for prognostic classification and risk stratification in these pts. Aims: We monitored MRD for the most common DNMT3Amut (DNMT3Amut -R882H, n=126 and -R882C, n=55) in a large cohort of adult AML pts entered on three AMLSG treatment trials [AML HD98A (n=14; NCT00146120), AMLSG 07-04 (n=86; NCT00151242), AMLSG 09-09 (n=81; NCT00893399)]. Methods: DNMT3Amut MRD monitoring was performed using a cDNA-based RQ-PCR-assay by TaqMan technology with a sensitivity between 10-3 and 10-4. MRD levels are reported as normalized values of DNMT3Amut transcripts per 104ABL1 transcripts (DNMT3Amut/104ABL1). Results: In total, 1,494 samples [bone marrow (BM), n=798; peripheral blood (PB), n=696] from 181 DNMT3Amut pts were analysed [diagnosis, n=287; during therapy, n=840; follow-up, n=367]. Median age of the patients was 50 years (range, 22 to 78); median BM DNMT3Amut transcript level (TL) at the time of diagnosis was 12690 (range, 1396-54280). There was no significant association of TL with presenting clinical characteristics, such as age, white blood cell count, platelet count, BM and PB blasts, lactate dehydrogenase, or with mutations in NPM1, FLT3 [ITD and TKD], CEBPA and cytogenetics. DNMT3Amut TL as log 10 transformed continuous variable and stratified by study did not impact OS (p=0.29), RFS (p=0.17) and EFS (p=0.28). Comparing TL after double induction (DI) did not show a significant difference between 13 patients without complete remission (CR) and 117 in CR (12983 and 12595, respectively; p=0.52). In Cox regression analyses, BM DNMT3Amut TL as log 10 transformed continuous variable during therapy did not impact the clinical endpoints death and relapse. In general, DNMT3Amut TL during therapy (after induction I, induction II, consolidation I and II) were significantly higher in BM than in PB (p=0.01; p=0.05; p=0.004; p=0.008, respectively). We observed the greatest TL reduction (one log) after induction I, whereas subsequent cycles of therapy did not significantly influence TL. To evaluate the impact of DNMT3Amut MRD monitoring with regard to the clinical endpoints OS, cumulative incidence of relapse (CIR) and remission duration (RD) after DI and after end of therapy (ET) we used different statistical approaches; all survival analyses were stratified by study. After DI and ET, only 8/90 and 4/88 BM samples became MRD negative. At these two time-points MRD positivity did not significantly impact OS (p=0.99; p=0.74), CIR (p=0.73; p=0.15) and RD (p=0.83; p=0.16). Next, we investigated the MRD DNMT3Amut log10-reduction (compared to levels at diagnosis) after DI and ET using the median as a cut-off. Again, we could not detect a significant correlation for pts with a higher TL reduction compared with pts with a lower TL reduction for OS and RD after DI and ET (p=0.83; p=0.30; p=0.04; p=0.21, respectively). Lastly, we evaluated the BM DNMT3Amut TL as 4 increasing equally sized intervals according to the quartiles of the distribution. There was no prognostic impact after DI on OS and RD (p=0.53; p=0.89) and ET (p=0.76; p=0.53). When combining PB and BM samples for the analyses we could not find significant changes in the results. Conclusion: In our study most pts had persistent DNMT3Amut TL with only a minority achieving MRD negativity, a finding that supports the presence of persistent clonal hematopoiesis in hematologic remission. Using different explorative approaches, DNMT3Amut TL did not impact clinical outcome neither during therapy nor during follow-up. Disclosures Horst: Gilead: Honoraria, Research Funding; Pfizer: Research Funding; MSD: Research Funding; Boehringer Ingleheim: Research Funding; Amgen: Honoraria, Research Funding. Schlenk:Arog: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees; Teva: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees.

The Functional Activity of the OCT-1 Protein Is Predictive of Molecular Response and Survival in CP-CML Patients Treated with Imatinib: A 5 Year Update of the TIDEL Trial.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 507-507 ◽  
Author(s):  
Deborah L White ◽  
Verity A Saunders ◽  
Amity Frede ◽  
Phuong Dang ◽  
Stephanie Zrim ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Functional Activity ◽  
Research Funding ◽  
Intracellular Concentration ◽  
Molecular Response ◽  
Advisory Committees ◽  
Significant Difference ◽  
The Impact ◽  
First Time

Abstract Abstract 507 The major active influx protein for imatinib into target BCR-ABL positive cells is the organic cation transporter OCT-1. We have previously demonstrated that the functional activity of the OCT-1 protein (OCT-1 activity) is predictive of molecular response in TIDEL (trial of imatinib 600 mg/day with selective dose intensification in untreated CP-CML) The OCT-1 activity (OA) is measured in mononuclear cells from untreated CML patients by calculating the intracellular concentration of 14-C imatinib less the intracellular concentration in the presence of OCT-1 inhibition. To address the question of whether OA is predicting only the rate of response, we now investigate the impact of OA on response and progression at 5 years. There is a significant difference in the achievement of MMR (p=0.007) and CMR by 60 months (p=0.032) (Table 1). Six patients developed kinase domain mutations over the course of this study. 5/6 had low OA. Significantly, for the first time addressing Event Free Survival (events defined as loss of CHR, MCR or CCR, progression to AP or BC or change of therapy due to unsatisfactory efficacy), we demonstrate that more patients with high OA are event free at 5 years when compared to patients with low OA (Table 1). To determine whether the detrimental effect of low OA on survival was more significant in those patients with OA in the lowest quartile (Q1) we compared the response of Q1 patients to all other patients (Table 2). These data demonstrate importantly, that patients in Q1 have significantly poorer outcomes, than the remainder of the patient cohort. In previous analyses we have shown that the effects of a low OA can be partially overcome by higher imatinib doses. Limiting the analyses to those patients receiving <600mg average daily dose over the first 12 months there was a significant difference in the achievement of MMR (low OA (n=11) 27%: high OA (n=12) 92% p=0.021) and EFS (36% vs 75% p=0.03). In patients receiving ≥600 mg there was no significant difference between the groups, reinforcing the importance of dose. In 45 patients we examined the expression of OCT-1 mRNA for prediction of MMR, CMR, EFS and mutation development. Dividing the patients into low and high OCT-1 expression about the median we found that the level of mRNA is not predictive of MMR (low–60% vs high 78 p=0.241) CMR (low–45% vs high 55 p=0.456) EFS (low–55% vs high 70 p=0.315) or mutation development (low–18% vs high 14% p=0.666). These data indicate that the level of OCT-1 mRNA is not sufficiently discriminating to predict response and progression. While our previous studies demonstrated that OA could predict the rate of decline in BCR-ABL over the first 12-24 months, this update demonstrates for the first time, that this assay can identify nearly all patients (>80%) who fail to achieve MMR in the long term. Most importantly OA is also strongly predictive of resistance and progression events. Functional assessment of OCT-1 Activity provides prognostic information that is more discriminating than assaying the level of OCT-1 mRNA. This long term study reinforces the notion that OA is an important predictive variable in CP-CML patients treated with IM. It provides further evidence that OA is a critical variable to consider in future trials of imatinib and a key factor to enable individualization of imatinib dose to optimize the long term outcome for CML patients. Disclosures: White: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Research Funding. Manley:Novartis: Employment. Hughes:Novartis: 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.

Early Molecular Response and Female Sex Strongly Predict Achievement of Stable Undetectable BCR-ABL1, a Criterion for Imatinib Discontinuation in Patients with CML

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 165-165 ◽  
Author(s):  
Susan Branford ◽  
David Ross ◽  
Jodi Prime ◽  
Chani Field ◽  
Haley Altamura ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Median Time ◽  
Cumulative Incidence ◽  
Research Funding ◽  
Univariate Analysis ◽  
Imatinib Therapy ◽  
Cumulative Probability ◽  
Molecular Response ◽  
Advisory Committees ◽  
Significant Difference

Abstract Abstract 165 Introduction. The opportunity to discontinue kinase inhibitor therapy while maintaining a deep remission is desirable for many CML patients. Despite good responses to imatinib for most patients, treatment related side effects remain problematic and can affect quality of life. Studies have demonstrated that a proportion of carefully selected patients can sustain response after imatinib discontinuation. The first requirement for successful discontinuation is likely to be stable deep molecular response based on a sensitive RQ-PCR assay. The criteria for patient selection in the French Stop Imatinib (STIM) and Australian CML8 (TWISTER) imatinib discontinuation trials included stable undetectable BCR-ABL1 transcripts for at least 24 months with a PCR sensitivity of 5 and 4.5 log, respectively. The probability of continued remission after discontinuation for imatinib treated patients without prior interferon-α therapy was approximately 33%. It is not known how many imatinib treated patients will eventually meet these PCR criteria for a discontinuation trial. Aims. We aimed to determine 1) the cumulative probability of achieving the PCR criteria for imatinib discontinuation as defined in the CML8 study, and 2) factors that predicted its achievement. Method. The molecular response of 415 de-novo CML patients in chronic phase enrolled in consecutive clinical trials of imatinib since July 2000 was examined. The assigned daily imatinib dose was 400 mg for 90 patients, 600 mg for 202 patients and 800 mg for 123 patients. Molecular data were included until imatinib cessation or last follow-up. The minimum time since commencing imatinib was 30 months and the median time on imatinib was 45 months, range 3 to 136. The CML8 PCR criteria for imatinib discontinuation were confirmed undetectable BCR-ABL1 transcripts at a sensitivity of 4.5 log that remained undetectable on all PCR tests for at least 24 months while on imatinib therapy. In the current analysis the CML8 PCR discontinuation criteria are defined as ‘stable UMR4.5'. Results. At 8 years of imatinib therapy the cumulative incidence of stable UMR4.5 was 43%, Figure A. Patients were divided into groups according to the time to a confirmed major molecular response (MMR): by 3, 6, 12 or 18 months. There was a significant difference in stable UMR4.5, P<.001, Figure B. The cumulative incidence of stable UMR4.5 was more than 60% for all patients who achieved MMR by 12 months and only 16% for patients with MMR between 12 and 18 months. The time to a confirmed MMR influenced the time to reach a stable UMR4.5 after achieving MMR. Considering only patients who achieved stable UMR4.5, patients achieving MMR by 3 months took a further 39 months (median) to achieve stable UMR4.5. For those with MMR by 6 months and 12 months, the median month to a stable UMR4.5 was 50 and 76 months after MMR, P<.001. This suggests slower dynamics of BCR-ABL1 decline with delayed time to MMR. 52 patients achieved MMR after 18 months and none achieved a stable UMR4.5 by 8 years: median time to MMR was 27 months, range 21–87. Factors at the time of commencing imatinib (baseline) were examined for their association with stable UMR4.5; Sokal risk, age, sex, assigned imatinib dose and baseline BCR-ABL1 value, as well as the 3 month BCR-ABL1 value. Quantitative factors were categorized into groups, with cut-offs set at the median for age and quartiles for the baseline BCR-ABL1 value. By univariate analysis the only baseline factor that predicted for higher cumulative incidence of stable UMR4.5 at 8 years was female versus male, 68% versus 30%, P<.001, Figure C. During imatinib therapy females had significantly lower median BCR-ABL1 values at every assessment up to 42 months. The 3 month BCR-ABL1 value also predicted stable UMR4.5, P<.001, Figure D. Baseline and 3 month factors were entered into a multivariate analysis. The 3 month BCR-ABL1 value and sex were independent predictors of stable UMR4.5, P=.004 and P=.005, respectively. Conclusion. The time to achieve an MMR, sex and the 3 month BCR-ABL1 value predicted stable undetectable BCR-ABL1 while on imatinib. Lower BCR-ABL1 values and higher rates of stable UMR4.5 in females could be related to better drug adherence or biological differences. Further studies are indicated. Early MMR led to early achievement of the discontinuation criteria. The findings justify the focus on early achievement of MMR as a strategy to maximize recruitment to discontinuation studies. Disclosures: Branford: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Cepheid: Consultancy. Ross:Novartis: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria. Yeung:Novartis Pharmaceuticals: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding. Hughes:Novartis, Bristol Myers-Squibb, and ARIAD: Honoraria, Research Funding.

scholarly journals Impact of Race and Geographic Location on Outcomes in Allogeneic Transplant

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 17-18
Author(s):  
Audrey M. Sigmund ◽  
Qiuhong Zhao ◽  
Justin Jiang ◽  
Patrick Elder ◽  
Don M. Benson ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Ohio State University ◽  
Cell Transplant ◽  
State University ◽  
Advisory Committees ◽  
Hematopoietic Stem ◽  
Significant Difference ◽  
The Ohio State University ◽  
The Impact

Introduction: Allogeneic hematopoietic stem cell transplant (allo-HCT) is a potential curative therapy for a variety of both malignant and nonmalignant hematologic disorders. However, allo-HCT is costly and requires highly specialized, technologically advanced care that is only available in select healthcare centers across the country. Due to its cost and limited availability, minority populations are at risk for healthcare disparities in access to and outcomes of allo-HCT. Prior studies have focused on the impact of health disparities, including race, and geographic residence at time of transplant, on allo-HCT outcomes with variable results. The aim of this study was to evaluate the impact of race and location of residence on outcomes of allo-HCT at one major referral institution. Methods: We performed a retrospective cohort study of patients that underwent allo-HCT at the Ohio State University from 1984 to 2018. The impact of demographic factors including race and place of primary residence were assessed. Patients were divided into race defined as Caucasian, African American (AA), and other. They were also grouped by zip code into rural, suburban, and urban groups. Rural was defined as less than 1000 people per square mile, suburban between 1000-3000 people per square mile, and urban greater than 3000 people per square mile. 2018 population estimates were used. Patients were then stratified into 7 groups based on year (yr) of transplant for analysis. Group (gp) 1 included 1984-1988, gp 2 1989-1993, gp 3 1994-1998, gp 4 1999-2003, gp 5 2004-2008, gp 6 2009-2013, and gp 7 2014-2018. Primary endpoints were progression free survival (PFS) and overall survival (OS). PFS and OS were calculated using Kaplan Meier Curves and compared using log-rank test between race and residence groups. Results: A total of 1,943 patients were included in the study. Of these patients, median age at time of transplant was 50 years old (range 18-76), and 59.6% were male. AML/MDS patients made up the majority of the cohort at 46.3%, with the other most common diagnoses being non-Hodgkin's lymphoma (14.2%), acute lymphocytic leukemia (11.8%), and chronic myeloid leukemia (10.1%). Most patients (94.3%) identified as Caucasian, while 4.6% identified as AA, and 1.1% other. The majority of patients lived in a rural area at the time of transplant with 63.4% rural, 22.9% suburban, and 13.8% urban. There was no significant difference in OS or PFS between Caucasian and AA patients (Figure 1A and B; p=0.15, 0.21). Median OS for AA was 1.9 yrs [95% confidence interval (CI): 0.8-3.6] as compared to 2.3 yrs (95% CI: 1.9-2.9) for Caucasians, with 5 -yr OS of 33 vs. 42% and 10-yr OS of 21 vs. 36% for AA and Caucasian, respectively. Median PFS was 0.9 (95% CI: 0.5-2.7) and 1.3 yrs (95% CI 1.1-1.6), with 5 -yr PFS of 30 vs. 37% and 10-yr PFS of 21 vs. 32% for AA and Caucasian, respectively. There also was no significant difference in OS or PFS between rural, urban, and suburban patients (Figure 2A and 2B; p=0.39, 0.17), with median OS in the three groups 2.2 (95%CI: 1.7-2.9), 2.9 (95%CI: 1.6-4.5), and 2.2 (95% CI: 1.6-3.6) yrs, and 5-yr OS of 40 vs. 43 vs. 43% and 10-yr OS of 33 vs. 39 vs. 39%, respectively. Median PFS were 2.2 (95%CI: 1.7-2.9), 2.9 (95%CI: 1.6-4.5), and 2.2 yrs [95% CI: 1.6-3.6], with 5-yr PFS of 36 vs. 40 vs. 38% and 10-yr PFS of 30 vs. 37 vs. 35%, respectively. Conclusion: Our study suggests that once patients undergo allo-HCT, there is no significant difference in outcomes between patients based on race or residence. This finding suggests that while these underserved populations may initially have less access to specialized care for HCT, if they ultimately undergo allo-HCT, outcomes are similar to their counterparts. Our study did show a significantly lower rates of allo-HCT performed in non-Caucasian races (94% Caucasians vs 4.6% AA and 1% other), which may reflect disparities in access to care in these groups as well as a lack of donors. Further research is needed to assess the barriers for these underserved patients to undergo transplant and to help ameliorate these barriers. Disclosures Chaudhry: Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees. Bumma:Amgen: Speakers Bureau; Sanofi: Speakers Bureau. Khan:Amgen: Consultancy; Janssen: Consultancy. Devarakonda:Janssen: Consultancy. Vasu:Janssen: Membership on an entity's Board of Directors or advisory committees; Omeros: Membership on an entity's Board of Directors or advisory committees; Kiadis Inc: Other: Kiadis has obtained exclusive licensing requirements from The OHio State University. Jaglowski:Kite, a Gilead Company: Consultancy, Research Funding; Juno: Consultancy; Novartis: Consultancy, Research Funding; CRISPR: Consultancy. William:Merck: Research Funding; Celgene: Consultancy, Honoraria; Dova: Research Funding; Seattle Genetics: Research Funding; Incyte: Research Funding; Guidepoint Global: Consultancy; Kyowa Kirin: Consultancy, Honoraria. Mims:Syndax Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Kura Oncology: Membership on an entity's Board of Directors or advisory committees; Leukemia and Lymphoma Society: Other: Senior Medical Director for Beat AML Study; Agios: Consultancy; Novartis: Speakers Bureau; Jazz Pharmaceuticals: Other: Data Safety Monitoring Board. Brammer:Seattle Genetics, Inc.: Speakers Bureau; Celgene Corporation: Research Funding. Efebera:Celgene: Research Funding; Pharmacyclics: Research Funding; Takeda: Honoraria, Speakers Bureau; Ohio State University: Current Employment.

scholarly journals Macrophage Activation By Dual PI3K-δ/γ Inhibition Enhances Anti-CD47-Mediated Phagocytosis and Prolongs Survival in DLBCL

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 40-40
Author(s):  
James Godfrey ◽  
Wenjun Kang ◽  
Lei Huang ◽  
Silvia Coma ◽  
Roy Maute ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Cell Lines ◽  
Research Funding ◽  
B Cell Lymphoma ◽  
Lymphoma Cell ◽  
Interferon Response ◽  
Lymphoma Cells ◽  
Advisory Committees ◽  
Phagocytic Capacity ◽  
The Impact

Intro: Relapsed/refractory diffuse large B cell lymphoma (r/r DLBCL) is associated with poor outcomes, and remains an area of unmet clinical need. Emerging data indicate that a key macrophage immune checkpoint termed CD47 can be effectively targeted in r/r DLBCL. CD47 is a potent "don't eat me" signal and impairs tumor cell phagocytosis by engaging the inhibitory macrophage receptor, SIRPα. Importantly, early clinical studies demonstrate that blocking CD47-SIRPα interactions with an anti-CD47 antibody (magrolimab) yields promising activity in r/r DLBCL patients, particularly when combined with rituximab, which further potentiates lymphoma cell phagocytosis via its Fc domain. Moving forward, it will be crucial to identify combinatorial strategies that improve the efficacy of anti-CD47 therapy in r/r DLBCL. Tumor-associated macrophages (TAMs) contribute to an immunosuppressive environment in cancer through secretion of cytokines, metabolites, and expression of immune checkpoints. Sustained PI3K-γ signaling is critical to maintain immune suppressive TAM functions, and PI3K-γ inhibition polarizes TAMs into a pro-inflammatory state that culminates in potent anti-tumor T cell responses, sensitizing cancers to PD-1 blockade therapy. We hypothesized that activating TAMs through PI3K-δ/γ inhibition would also augment their inherent phagocytic capacity and synergize with phagocytosis-targeting treatments such as CD47 blockade. Thus, we investigated the impact of the dual PI3K-δ/γ inhibitor, duvelisib, on expression of key phagocytic receptors and pathways in human macrophages, as well as its effect on enhancing lymphoma cell phagocytosis with the anti-CD47 antibody, magrolimab. Results: RNA sequencing of duvelisib-treated human monocyte-derived macrophages revealed that PI3K-δ/γ inhibition induced broad transcriptional changes suggestive of an activated macrophage state (Fig 1A), including upregulation of interferon response genes (IRF9) and costimulatory molecules (CD86), while decreasing expression of immune suppressive cytokines (IL10) and inhibitory ligands (PDL1). Moreover, duvelisib upregulated transcription of canonical pro-phagocytic receptors (LRP1, FCGR2A,CD44), lysosomal degradation components (LYZ, CTSS) and phosphatidylserine-bridging genes (MFG-E8, GAS6), while inhibiting metabolic pathways, most notably mTOR, each of which has been associated with increased and more efficient phagocytosis. Given these findings, we evaluated the effect of dual PI3K-δ/γ inhibition on macrophage phagocytosis of DLBCL cells in the context of CD47 blockade in vitro. Across a broad panel of human DLBCL cell lines and multiple monocyte donors, pre-treatment of macrophages with duvelisib significantly increased lymphoma cell phagocytosis by magrolimab (Fig 1B-C). This effect reflected a direct increase in the phagocytic capacity of treated macrophages, as lymphoma cells were not exposed to duvelisib. In separate experiments, we found that duvelisib rarely induced full apoptosis of DLBCL cells, but did promote the expression of "eat me" signals, such as calreticulin and phosphatidylserine on many of the cell lines examined (Fig 1D). Collectively, these results suggest that PI3K-δ/γ inhibition enhances the inherent phagocytic capacity of macrophages, while also sensitizing lymphoma cells for engulfment. Similarly, potent effects were not observed with PI3K-δ- or PI3K-γ-specific inhibitors, suggesting that combined PI3K-δ/γ inhibition is critical to mediating these beneficial effects. Finally, to determine whether duvelisib impacted the efficacy of magrolimab in vivo, we treated human DLBCL xenografts and observed that while duvelisib had minimal impact on lymphoma growth, the combination of duvelisib and magrolimab induced complete tumor rejection in a high proportion of mice, leading to increased survival compared to mice treated with magrolimab alone (Fig 1E). Conclusion: Collectively, our findings suggest that targeting the PI3K-δ/γ axis favorably induces key macrophage phagocytic pathways, while simultaneously upregulating important "eat me" signals on lymphoma cells. Together, these alterations lower the phagocytic threshold of TAMs and dramatically increase the efficacy of anti-CD47 therapy in DLBCL xenograft models. This work paves the way for early-phase studies of duvelisib and magrolimab in r/r DLBCL and other lymphomas. Disclosures Godfrey: Verastem: Research Funding; Merck: Research Funding; Gilead: Research Funding. Coma:Verastem Oncology, Inc: Current Employment, Current equity holder in publicly-traded company. Maute:Gilead Sciences, Inc.: Current Employment. Chao:Gilead Sciences: Current Employment. Pachter:Verastem Therapeutics: Current Employment. Kline:Kite/Gilead: Speakers Bureau; Merck: Research Funding; Verastem: 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; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees.

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