Citations

7504 Background: The anti-CD30 antibody drug conjugate, Brentuximab vedotin (Bv) is approved for adults with advanced stage HL but its use has not been established in children or adolescents. We compared the efficacy and safety of Bv with doxorubicin, vincristine, etoposide, prednisone and cyclophosphamide (Bv-AVE-PC) to the standard pediatric dose intensive regimen ABVE-PC, inclusive of bleomycin. Methods: This multicenter randomized, open-label phase 3 study enrolled patients 2-21 years (yrs) with previously untreated HL, stages IIB + bulk, IIIB, IVA, IVB. Patients were randomized to 5 cycles of either ABVE-PC or Bv-AVE-PC given every 21 days with granulocyte colony-stimulating factor support. Centrally reviewed PET-CT after 2 cycles (PET2) identified slow responding lesions (SRL) defined as Deauville score > 3. Involved site radiotherapy (ISRT) was given to bulky mediastinal adenopathy and SRL. The primary objective was 3-year EFS; events include relapse/progression, second malignant neoplasm (SMN) or death. Final data cutoff was 31 December 2021. Results: 600 participants were enrolled across 151 institutions from March 2015 to August 2019; 587 were eligible. Median age was 15.6 yrs (range 3.4-21). Patient and disease characteristics were balanced across study arms. Histology was nodular sclerosing in 76.5%. Stage distribution: 20.6% IIB-bulk; 19.3% IIIB; 28.5% IVA; 31.7% IVB. At a median follow-up of 42.1 mos (0.1-80.9), 3-year EFS (95%CI) by intent-to-treat analyses was 82.5% (77.4, 86.5) with ABVE-PC and 92.1% (88.4, 94.7) with Bv-AVE-PC (HR 0.41 (0.25, 0.67), p = 0.0002). Median time to 1st event was 9.4 months for both arms but the range differs by arm (3.6-57.8 ABVE-PC; 1.3, 25.8 Bv-AVE-PC). Relapse rate was 17% following ABVE-PC and 7% with Bv-AVE-PC. One SMN is noted in each arm: thyroid cancer at 57.8 mos and acute myeloid leukemia at 20.3 mos. 3-year overall survival (95%CI) was 98.5% (96.0, 99.4) for ABVE-PC and 99.3% (97.3, 99.8) for Bv-AVE-PC (p = 0.38). PET2 SRL rates were comparable (ABVE-PC 19% vs. Bv-AVE-PC 18%, p = 0.8). As-treated ISRT receipt did not differ (ABVE-PC 55.7% vs. Bv-AVE-PC 52.7%, p = 0.69). No difference in grade 3/4 adverse events was observed; myelosuppression, reflected in a 32% incidence of > grade 3 febrile neutropenia, did not differ by arm (p = 0.67). Only 19% of patients experienced > grade 2 neuropathy by the Balis pediatric neuropathy scale, with no difference between arms (p = 0.86). Conclusions: Brentuximab vedotin with AVE-PC in a dose intensive regimen has superior efficacy to ABVE-PC for pediatric patients with high-risk HL. A 59% risk reduction in EFS was achieved with no increase in toxicity and with fewer patients receiving ISRT compared to prior pediatric trials for high-risk HL. Clinical trial information: 02166463.

Background: While HL is a highly curable cancer, patients (pts) with advanced stage disease experience increased risk of relapse. Delineation of prognosis is desired to compare cohorts and outcomes between trials, and to define groups of pts for whom reduction in treatment may be appropriate or where novel therapeutic approaches are needed. The International Prognostic Score (IPS), which was derived from a discovery set of 1,618 HL pts with complete data, was a seminal publication in the field (Hasenclever and Diehl NEJM 1998). However, these data were published >20 years ago with a significant minority of pts having received chemotherapy regimens no longer in clinical use. More contemporary analyses have shown altered utility of the IPS (e.g., Moccia JCO 2012; Diefenbach BJH 2015). In addition, prior studies identified bulk disease as an adverse prognostic factor in advanced stage HL (Laskar JCO 2004; Johnson JCO 2010). Our objective was to leverage individual pt data (IPD) from HoLISTIC (www.hodgkinconsortium.com) to discover a new, robust, and modern prognostication index for advanced-stage HL pts applicable to diverse settings across the world. Methods: We created a data repository of IPD from clinical trials for newly diagnosed HL pts, which includes 4,085 advanced-stage (III or IV) pts treated in 8 large, prospective studies completed in the modern era (ie, IIL HD9601: Gobbi JCO 2005; Italian HD2000: Federico JCO 2009; ECOG 2496: Gordon JCO 2013; SWOG 0816: Press JCO 2016; IIL HD0801: Zinzani JCO 2016; RATHL: Johnson NEJM 2016; GITIL HD0607: Gallamini JCO 2017; and COG AHOD 0831: Kelly BJH 2019) as well as prominent cancer registries (eg, the Mayo/Iowa Molecular Epidemiologic Resource (MER)). The discovery analysis herein included pts from the ECOG 2496, HD0801 IIL, GITIL HD0607, and SWOG 0816 studies. Furthermore, it was restricted to pts (n=1,279) on these trials with complete data for all 9 covariates of interest: age; sex; advanced stage (III vs IV); B symptoms; any bulk; and values of hemoglobin, white blood count (WBC), lymphocyte count, and albumin. Using Cox proportional hazard (PH) models, we evaluated univariate associations between 5-year progression-free survival (PFS) and overall survival (OS) with the aforementioned prognostic variables. Age was categorized based on plots and optimum model fit (c statistic). Lab values were dichotomized using cut-points from the 1998 IPS. Per convention, treatment factors were not included in the model. To identify independent prognostic factors of PFS and OS, a parsimonious Cox PH model was fit using backward selection of all potential risk factors (P<0.05). Hazard ratios (HR) with 95% confidence interval (CI) were reported. Kaplan Meier (KM) plots were also reported for risk factors in the multivariable (MVA) models to visualize differences. Results: Among all pts, characteristics included: median age of 32.9 years (IQR 25.4-44, range 15-83); 55% male; 49% stage IV; 63% B symptoms; 26% bulk >10 cm; 20% hemoglobin <10.5 g/dL; 15% WBC count ≥15,000/mm3; 9% lymphocyte count <600/mm3; and 63% with albumin <4g/dL. For analysis of age, we observed a U-shaped relationship with PFS (Fig A), which helped delineate optimal cut points of 15-24 years (23.1%), 25-49 years (61.4%), and ≥50 years (15.6%). In univariate analysis: age, stage, B symptoms, bulk, anemia, low lymphocyte count, and low albumin were associated with worse survival. In the MVA model, age >50 years, stage IV disease, B symptoms, and bulky disease were associated with worse PFS; and age >50 years, stage IV disease, bulky disease, anemia, and low albumin were associated with worse OS (Fig B). KM plots for age, stage, and bulk are presented in Fig C. Conclusions. In this international, multi-study analysis of advanced stage HL in the modern era, we identified several factors that were associated with both worse PFS and OS on MVA (ie, age, stage IV disease, and bulky disease). The finding of bulky disease as a significant prognostic factor warrants further investigation. In addition, we detected an age-related U-shaped impact on PFS with inferior outcomes for pts ages 15-25 years and ≥50 years, the latter in an increasing linear fashion. Altogether, these data will serve as a training cohort for a modern HL prognostication index that will be augmented and analyzed with a large independent validation cohort (vis-à-vis the remaining HL data in the HoLISTIC consortium), which will be presented at the ASH meeting. Disclosures Parsons: Seattle Genetics: Consultancy. Advani:Astra Zeneca, Bayer Healthcare Pharmaceuticals, Cell Medica, Celgene, Genentech/Roche, Gilead, KitePharma, Kyowa, Portola Pharmaceuticals, Sanofi, Seattle Genetics, Takeda: Consultancy; Celgene, Forty Seven, Inc., Genentech/Roche, Janssen Pharmaceutical, Kura, Merck, Millenium, Pharmacyclics, Regeneron, Seattle Genetics: Research Funding. Federico:Spectrum: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sandoz: Consultancy, Membership on an entity's Board of Directors or advisory committees; Mundipharma s.r.l.: Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium/Takeda: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Cephalon/Teva: Research Funding. Friedberg:Acerta Pharma - A member of the AstraZeneca Group, Bayer HealthCare Pharmaceuticals.: Other; Bayer: Consultancy; Kite Pharmaceuticals: Research Funding; Portola Pharmaceuticals: Consultancy; Roche: Other: Travel expenses; Seattle Genetics: Research Funding; Astellas: Consultancy. Hutchings:Genmab: Research Funding; Janssen: Research Funding; Roche: Consultancy; Genmab: Consultancy; Takeda: Consultancy; Roche: Research Funding; Celgene: Research Funding; Daiichi: Research Funding; Sankyo: Research Funding; Novartis: Research Funding; Sanofi: Research Funding; Takeda: Research Funding; Roche: Honoraria; Genmab: Honoraria; Takeda: Honoraria. Johnson:MorphoSys: Honoraria; Kymera: Honoraria; Kite Pharma: Honoraria; Incyte: Honoraria; Celgene: Honoraria; Epizyme: Consultancy, Research Funding; Novartis: Honoraria; Takeda: Honoraria; Oncimmune: Consultancy; Boehringer Ingelheim: Consultancy; Janssen: Consultancy; Oncimmune: Consultancy; Janssen: Consultancy; Genmab: Honoraria; Bristol-Myers: Honoraria; Epizyme: Consultancy, Research Funding. Radford:Novartis: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Speakers Bureau; ADCT: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Research Funding; Seattle Genetics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GlaxoSmithKline: Current equity holder in publicly-traded company, Other: Spouse; AstraZeneca: Current equity holder in publicly-traded company, Other: Spouse; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Zinzani:MSD: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees; EUSA Pharma: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sandoz: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Immune Design: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Eusapharma: Consultancy, Speakers Bureau; Verastem: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Kyowa Kirin: Consultancy, Speakers Bureau; TG Therapeutics, Inc.: Honoraria, Speakers Bureau; Kirin Kyowa: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Servier: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celltrion: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; ADC Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Portola: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Immune Design: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Cerhan:NanoString: Research Funding; BMS/Celgene: Research Funding. Evens:Abbvie: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria, Research Funding; MorphoSys: Consultancy, Honoraria; Research To Practice: Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria; Epizyme: Consultancy, Honoraria, Research Funding; Merck: Consultancy, Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria; Mylteni: Consultancy, Honoraria.

Abstract Introduction Follow-up is an integral part of hematopoietic cell transplant (HCT) care which ensures accurate characterization of HCT-related outcomes as well as surveillance and intervention for complications. Despite the importance of follow-up of all HCT recipients at transplant centers, they may be lost to follow-up (LTFU). HCT recipients who are LTFU may be demographically or clinically distinct from HCT recipients who maintain regular center follow-up. Using population-based data from 17,550 adult and 4,279 pediatric HCT recipients from United States centers reported to the Center for International Blood and Marrow Transplant Research (CIBMTR), we characterize the incidence of, and predictors for, becoming LTFU. Methods The study included 2-year (yr) survivors of first allogeneic (10,367 adults and 3,865 children) or autologous (7,183 adults and 414 children) HCT for malignant and non-malignant disorders in the United States from 2002-2013 reported to the CIBMTR. LTFU was defined as a patient having missed 2 consecutive follow-up reporting periods. CIBMTR follow-up forms are collected annually for the first 6 yrs post-HCT and bi-annually thereafter. The cumulative incidence of LTFU HCT recipients was calculated. Marginal Cox models allowing adjustment for center effect were fit to evaluate risk factors for becoming LTFU among adults and pediatric allogeneic and autologous HCT survivors. Risk factors evaluated included: sociodemographic (age at HCT, sex, performance status, race, distance to center, income, health insurance, marital status) and disease/HCT-related (disease type, yr of HCT) factors. Results Among 2-yr allogeneic HCT survivors, the median age at the time of HCT was 49 yrs (range, 18-81) and 7 yrs (range, <1-18) for adult and pediatric recipients, respectively. Corresponding median follow-up was 75 months (mos) (range, 12-173) and 74 mos (range, 3-173). Health insurance coverage was public (23%) or private (64%) for adult recipients, and public (40%) or private (43%) for pediatric recipients. For 2-yr autologous HCT survivors, the median age at the time of HCT was 58 yrs (range, 18-82) and 4 yrs (range, <1-18) for the adult and pediatric recipients, respectively. Corresponding median follow-up was 76 mos (range, 3-174) and 73 mos (range, 6-173). Health insurance coverage was public (27%) or private (57%) for adult recipients, and public (48%) or private (39%) for pediatric recipients. The 10-year cumulative incidence of becoming LTFU among adult and pediatric allogeneic HCT recipients was 13% (95% CI, 12-14) and 25% (95% CI, 24-27), respectively. Among autologous HCT recipients, the 10-year cumulative incidence of becoming LTFU among adults and children was 15% (95% CI, 14-16) and 23% (95% CI, 19-28), respectively. (Figure 1) Among pediatric allogeneic HCT survivors, older age, non-white race, public or no insurance (referent: private), and earlier yr of HCT were significantly associated with increased LTFU risk. However, in adult allogeneic HCT survivors, younger age, non-malignant disease, public or no insurance (referent: private), living farther from the HCT center, and unmarried were significantly associated with higher risk of LTFU (Table 1). In pediatric autologous HCT survivors, males and Non-Hodgkin lymphoma (NHL)/Hodgkin lymphoma patients (referent: central nervous system tumors) were significantly associated with higher risk of becoming LTFU (Table 1), whereas for adult autologous HCT survivors, older age and multiple myeloma (referent: NHL) were significantly associated with decreased risk of LTFU. Conclusions The incidence of LTFU is significantly higher in pediatric than adult patients, with no difference between autologous and allogeneic HCT patients, regardless of age. We identified risk factors for LTFU that differed by age and HCT donor type. A national, comprehensive, risk-based approach to long-term follow-up focusing on minimizing the attrition in high-risk groups such as adolescent and young adult-aged HCT survivors and HCT survivors with non-private health insurance is needed. Future studies incorporating patient reported outcomes may help describe reasons for lack of long-term follow-up. Collection of accurate and meaningful epidemiologic and clinical data from all survivors can help develop and refine strategies to improve long-term outcomes of this population. Disclosures Parsons: Seattle Genetics: Research Funding.