Background The peak incidence of Ewing sarcoma (EWS) is in adolescence, with little known about patients who are ≥ 40 years at diagnosis. We describe the clinical characteristics and survival of this rare group. Methods This retrospective cohort study utilized the Surveillance Epidemiology and End Results database. 2780 patients were identified; including 383 patients diagnosed ≥ 40 years. Patient characteristics between age groups were compared using chi-squared tests. Survival from diagnosis to death was estimated via Kaplan-Meier methods, compared with log-rank tests, and modeled using multivariable Cox methods. A competing risks analysis was performed to evaluate death due to cancer. Results Patients ≥ 40 years of age were more likely to have extra-skeletal tumors (66.1% v 31.7%; p<0.001), axial tumors (64.0% v 57.2%; p=0.01), and metastatic disease at diagnosis (35.5% v 30.0%; p=0.04) compared to younger patients. Five-year survival for those age ≥ 40 and age < 40 were 40.6% and 54.3%, respectively (p<0.0001). A Cox multivariable model controlling for differences between groups confirmed inferior survival for older patients (hazard ratio for death of 2.04; 95% CI 1.63 - 2.54; p < 0.0001); though treatment data were unavailable and not controlled for in the model. A competing risks analysis confirmed increased risk of cancer-related death in older patients. Conclusion Patients ≥ 40 years at diagnosis with EWS are more likely to have extra-skeletal tumors, metastatic disease, and axial primary tumors suggesting a difference in tumor biology. Independent of differences in these characteristics, older patients also have a lower survival rate.

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Background While multiple prognostic variables have been proposed for Ewing sarcoma (EWS), little work has been done to further categorize these variables into prognostic groups for risk classification. Procedure We derived initial prognostic groups from 2,124 patients with EWS in the SEER database. We constructed a multivariable recursive partitioning model of overall survival using the following covariates: age; stage; race/ethnicity; sex; axial primary; pelvic primary; and bone or soft tissue primary. Based on this model, we identified risk groups and estimated 5-year overall survival for each group using Kaplan-Meier methods. We then applied these groups to 1,680 patients enrolled on COG clinical trials. Results A multivariable model identified 5 prognostic groups with significantly different overall survival: 1) Localized, age < 18 years, non-pelvic primary; 2) Localized, age < 18, pelvic primary or Localized, age ≥ 18, White, non-Hispanic; 3) Localized, age ≥ 18, all races/ethnicities other than White, non-Hispanic; 4) Metastatic, age < 18; and 5) Metastatic, age ≥ 18. These 5 groups were applied to the COG dataset and showed significantly different overall and event-free survival based upon this classification system (p < 0.0001). A sub-analysis of COG patients treated with ifosfamide and etoposide as a component of therapy evaluated these findings in patients receiving contemporary therapy. Conclusions Recursive partitioning analysis yields discrete prognostic groups in EWS that provide valuable information for patients and clinicians in determining an individual patient's risk of death. These groups may enable future clinical trials to adjust EWS treatment according to individualized risk.

Background Allogeneic (off the shelf) chimeric antigen receptor (CAR) T cell therapy addresses the logistical challenges, availability and variable product quality of autologous CAR T therapy. ALLO-715 is a genetically modified anti-BCMA AlloCAR Ttm cell product in which the TCR alpha constant gene is disrupted to reduce the risk of graft-versus-host disease (GvHD) and the CD52 gene is disrupted with Talen® technology to permit the use of ALLO-647, an anti-CD52 mAb, for selective and prolonged host lymphodepletion (LD). Methods This is an open-label, Phase 1 trial (NCT04093596) in adults with R/R multiple myeloma who have received ≥3 prior lines of therapy including a proteasome inhibitor, immunomodulator, and anti-CD38 mAb. Patients (pts) must be refractory to their last treatment line. Patients receive LD followed by ALLO-715 at 1 of 4 dose levels (DL) in a 3+3 dose escalation design: 40, 160, 320, and 480 x 106 CAR+ T cells. Several LD regimens are being evaluated. These include: FCA (fludarabine (F) 90 mg/m2, cyclophosphamide (C) 900 mg/m2, and ALLO-647 (A) 39 mg divided over 3 days), FCA+ (same F and C but ALLO-647 (A+) dose of 90 mg divided over 3 days); as well as CA (same C and A divided over 3 days, but no F given). Results As of 08 July 2020, 19 pts had enrolled and 15 had received ALLO-715 at 3 DLs: 3 pts at DL1 (3 FCA and 0 CA); 7 pts at DL2 (4 FCA and 3 CA); 5 pts at DL3 (3 FCA and 2 CA). As of the data cutoff, no pts had received FCA+ or ALLO-715 DL4. Patients were heavily pre-treated and in advanced stage of disease with a median of 5 (range 3-11) prior lines of therapy and 31.6% ISS Stage III at screening. All but 1 had a prior autologous stem cell transplant. 52.6% (10/19) of patients had high risk cytogenetics, and 26.3% (5/19) had extramedullary disease. The most common Grade ≥3 adverse events were anemia (41.2%), neutropenia (41.2%), lymphopenia (29.4%), and thrombocytopenia (29.4%). Four episodes of Grade ≥3 infections occurred in 4 pts. Three of these were Grade 3 and included parvovirus B19, staphylococcal bacteremia, and pneumonia, which resolved with treatment. The fourth was a Grade 5 episode that occurred on day 8 post-ALLO-715 infusion in a rapidly progressing, refractory myeloma pt who, on day 1, developed a non-neutropenic fever and multifocal pneumonia with negative blood and sputum cultures. The patient progressed to respiratory failure and only comfort care was pursued. This death was considered related to conditioning (CA). No DLTs to ALLO-715 had been reported as of the data cutoff. In addition, no neurotoxicity (ICANS) or GvHD had been reported as of the data cutoff. Cytokine release syndrome was reported in 4 pts (24%). Three episodes were Grade 1 and 1 was Grade 2 (Lee Grading); all resolved without tocilizumab or corticosteroids. Fifteen pts were efficacy evaluable (defined as receiving ALLO-715, and undergoing at least one response assessment or discontinuing prior to the first response assessment), with a median follow-up of 2 months (range 0, 10 months). A higher dose of ALLO-715 (DL3) was associated with greater anti-cancer activity with 3/5 pts responding per IMWG (60%, 95% CI 14.7, 94.7). In pts who received DL3 FCA, 2/3 responded (1 sCR and 1 VGPR, Table 1). All DL3 pts who responded experienced at least a VGPR and achieved MRD negative status by local MRD testing. All responses were initially observed at day 14. Four (80%) out of the 5 responders were still in response at the time of the data cutoff. ALLO-715 cell expansion by qPCR was observed at all dose levels. Conclusions These early data suggest that ALLO-715 and ALLO-647 have a manageable safety profile. ALLO-715 shows evidence of clinical activity in the allogeneic setting in pts with R/R multiple myeloma and suggests that higher cell doses are associated with greater anti-cancer activity. Enrollment is ongoing in cohorts with higher ALLO-715 (480M CAR+ T-cells) and ALLO-647 (90mg). Updated safety, efficacy, PK/PD data will be presented. Clinical trial information: NCT04093596. Disclosures Mailankody: Physician Education Resource: Honoraria; PleXus Communications: Honoraria; Takeda Oncology: Research Funding; Janssen Oncology: Research Funding; Allogene Therapeutics: Research Funding; Juno Therapeutics, a Bristol-Myers Squibb Company: Research Funding. Matous:Bristol-Myers Squibb Company: Consultancy, Honoraria, Speakers Bureau. Liedtke:Janssen: Membership on an entity's Board of Directors or advisory committees; Adaptive: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria. Sidana:Janssen: Consultancy. Nath:Actinium: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Daiichi Sankyo: Consultancy, Honoraria. Oluwole:Bayer: Consultancy; Spectrum Pharmaceuticals: Consultancy; Kite, a Gilead Company: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy. Karski:Crisper Therapeutics: Current equity holder in publicly-traded company; Allogene Therapeutics: Current Employment, Current equity holder in publicly-traded company; Nektar Therapeutics: Current equity holder in publicly-traded company, Ended employment in the past 24 months. Lovelace:Allogene Therapeutics: Current Employment, Current equity holder in publicly-traded company. Zhou:Allogene Therapeutics: Current Employment, Current equity holder in publicly-traded company. Nandakumar:Allogene Therapeutics: Current Employment, Current equity holder in publicly-traded company. Balakumaran:Allogene Therapeutics: Current Employment, Current equity holder in publicly-traded company; Merck: Ended employment in the past 24 months. Hari:BMS: Consultancy; Takeda: Consultancy; Janssen: Consultancy; Amgen: Consultancy; GSK: Consultancy; Incyte Corporation: Consultancy.

Calculating internal dose from therapeutic radionuclides currently relies on estimates made from multiple radiation exposure measurements, converted to absorbed dose in specific organs using the Medical Internal Radiation Dose (MIRD) schema. As an alternative biodosimetric approach, we utilized gene expression analysis of whole blood from patients receiving targeted radiotherapy. Collected blood from patients with relapsed or refractory neuroblastoma who received 131I-labeled metaiodobenzylguanidine (131I-mIBG) at the University of California San Francisco (UCSF) was used to compare calculated internal dose with the modulation of chosen gene expression. A total of 40 patients, median age 9 years, had blood drawn at baseline, 72 and 96 h after 131I-mIBG infusion. Whole-body absorbed dose was calculated for each patient based on the cumulated activity determined from injected mIBG activity and patient-specific time-activity curves combined with 131I whole-body S factors. We then assessed transcripts that were the most significant for describing the mixed therapeutic treatments over time using real-time polymerase chain reaction (RT-PCR). Modulation was evaluated statistically using multiple regression analysis for data at 0, 72 and 96 h. A total of 10 genes were analyzed across 40 patients: CDKN1A; FDXR; GADD45A; BCLXL; STAT5B; BAX; BCL2; DDB2; XPC; and MDM2. Six genes were significantly modulated upon exposure to 131I-mIBG at 72 h, as well as at 96 h. Four genes varied significantly with absorbed dose when controlling for time. A gene expression biodosimetry model was developed to predict absorbed dose based on modulation of gene transcripts within whole blood. Three transcripts explained over 98% of the variance in the modulation of gene expression over the 96 h (CDKN1A, BAX and DDB2). To our knowledge, this is a novel study, which uses whole blood collected from patients treated with a radiopharmaceutical, to characterize biomarkers that may be useful for biodosimetry. Our data indicate that transcripts, which have been previously identified as biomarkers of external exposures in ex vivo whole blood and in vivo radiotherapy patients, are also good early indicators of internal exposure. However, for internal sources of radiation, the biokinetics and physical decay of the radionuclide strongly influence the gene expression.