29 research outputs found
Identification of factors that function in Drosophila salivary gland cell death during development using proteomics
Proteasome inhibitors induce cell death and are used in cancer therapy, but little is known about the relationship between proteasome impairment and cell death under normal physiological conditions. Here, we investigate the relationship between proteasome function and larval salivary gland cell death during development in Drosophila. Drosophila larval salivary gland cells undergo synchronized programmed cell death requiring both caspases and autophagy (Atg) genes during development. Here, we show that ubiquitin proteasome system (UPS) function is reduced during normal salivary gland cell death, and that ectopic proteasome impairment in salivary gland cells leads to early DNA fragmentation and salivary gland condensation in vivo. Shotgun proteomic analyses of purified dying salivary glands identified the UPS as the top category of proteins enriched, suggesting a possible compensatory induction of these factors to maintain proteolysis during cell death. We compared the proteome following ectopic proteasome impairment to the proteome during developmental cell death in salivary gland cells. Proteins that were enriched in both populations of cells were screened for their function in salivary gland degradation using RNAi knockdown. We identified several factors, including trol, a novel gene CG11880, and the cop9 signalsome component cop9 signalsome 6, as required for Drosophila larval salivary gland degradation
ENGAGE- 501: phase II study of entinostat (SNDX-275) in relapsed and refractory Hodgkin lymphoma
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Quantitative Change in Metabolic Tumor Volume May Assist in Distinguishing between Pseudoprogressors and Responders in Patients with Relapsed/Refractory Classical Hodgkin Lymphoma Treated with PD-1 Blockade
Abstract
Background:
In untreated Hodgkin lymphoma (HL), metabolic tumor volume (MTV) significantly declined following pembrolizumab monotherapy, regardless of baseline MTV, and may serve as a better measure of treatment response to PD-1 blockade than the Lugano Classification (Allen, et al. Blood 2021). Furthermore, standard PET evaluation can fail to differentiate between malignancy, pseudoprogression and physiological background in patients (pts) receiving PD-1 blockade. The predictive power and prognostic significance of MTV in patients with relapsed or refractory (RR) HL receiving PD-1 blockade is unknown. We sought to examine the role of MTV in HL pts treated with PD-1 blockade.
Methods:
We identified 30 pts who received pembrolizumab or nivolumab-based therapy off-study for RR HL between July 2015 and May 2021. In the PET/CT analysis, all lesions were visually identified, and all measurable lesions were selected for the analysis. Responses were assessed by Lugano Classification. Indeterminant response (IR) was defined as evidence of progression on PET without clinical deterioration as per the Lyric Criteria. MTV was obtained by summing the metabolic volumes of all measurable lesions, using the 41% SUVmax threshold to measure each lesion MTV using Beth Israel plugin. MTV was evaluated at baseline (MTV0) and at first reassessment (MTV1) after initiation of PD-1 blockade. Δ (delta) MTV was calculated as % change in MTV from MTV0 to MTV1. Receiver operating characteristic (ROC) curve was performed for ΔMTV and best overall response rate (BOR) to determine the optimal cut-off value. Overall survival (OS) was measured from PD-1 blockade initiation to death or last follow-up. We examined the association between MTV and clinical factors, PET-1 response, and overall survival using Cox proportional hazards model and Fisher exact test, respectively.
Results:
25 patients had complete clinical data and PET/CT analysis (Table 1). The median age at first relapse was 39 years (range: 18-81); 64% were male. 6 pts previously received PD-1 blockade on clinical trials and discontinued treatment due to study completion or toxicity. The median time between PET0 and PET1 was 3.4 months (range 2.0-7.3). Median MTV0 and MTV1 values were 39.8 ml and 17.1 ml, respectively. With a median follow up from initiation of PD-1 blockade among survivors of 38.7 months, 5 pts (19%) died. The median OS of the entire cohort was not reached (95%CI: 76.4-NR) (Figure 1). The best response to PD-1 blockade included 15 (60%) with complete metabolic response (CMR), 5 (20%) with partial metabolic response (PMR), and 5 (20%) with progression of disease (POD). Median ΔMTV was -70% (range -100 to +909%).
MTV0 was not predictive of OS, PET1 response, or BOR. However, ΔMTV predicted for PET1 response (p=0.004) and BOR (p=0.004). 18 (72%) pts had a reduction in ΔMTV (range: -100, -22), while 7 (28%) pts had an increase in ΔMTV (range: 33-909). The optimal ΔMTV threshold for prediction of BOR was 120% (Figure 1). ΔMTV <120% was associated with improved OS with a median OS not reached (95% CI: NA-NA) compared to 61.7 Mo (95% CI: 9.4-NR) (Log-rank p=0.05) (Figure 2).
Among pts with IR on PET-1, ΔMTV <120% appeared to distinguish eventual responders from those with POD. Of 4 pts with IR who eventually achieved response at later time points, 3 had ΔMTV below the 120% threshold. Conversely, of 4 pts with IR with eventual POD at their subsequent evaluation, all 4 had ΔMTV above the 120% threshold.
Conclusions:
Quantitative change in MTV from baseline to first reassessment may aid in predicting treatment response and long-term outcomes in patients with RR HL receiving PD-1 blockade, particularly those initially characterized as achieving indeterminate response. Further prospective clinical trials are needed to validate the role of ΔMTV in predicting response and long-term outcomes for RR HL pts receiving PD-1 blockade.
Figure 1 Figure 1.
Disclosures
Moskowitz: Merck & Co., Inc.: Research Funding. Matasar: Seattle Genetics: Consultancy, Honoraria, Research Funding; TG Therapeutics: Consultancy, Honoraria; Bayer: Consultancy, Honoraria, Research Funding; Genentech, Inc.: Consultancy, Honoraria, Research Funding; Memorial Sloan Kettering Cancer Center: Current Employment; Juno Therapeutics: Consultancy; Merck: Consultancy; Pharmacyclics: Honoraria, Research Funding; Rocket Medical: Consultancy, Research Funding; Daiichi Sankyo: Consultancy; GlaxoSmithKline: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; ImmunoVaccine Technologies: Consultancy, Honoraria, Research Funding; Merck Sharp & Dohme: Current holder of individual stocks in a privately-held company; Teva: Consultancy; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; IGM Biosciences: Research Funding; Takeda: Consultancy, Honoraria. Zelenetz: Amgen: Honoraria; MorphoSys: Honoraria; Novartis: Honoraria; MEI Pharma: Honoraria, Research Funding; Beigene: Honoraria, Other, Research Funding; Gilead: Honoraria, Research Funding; Pharmacyclics: Honoraria; SecuraBio: Honoraria; Genentech/Roche: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding; Verastem: Honoraria; BMS/Celgene/JUNO: Honoraria, Other; MethylGene: Research Funding; AstraZeneca: Honoraria; Janssen: Honoraria; NCCN: Other; LFR: Other; Gilead: Honoraria. Joffe: AstraZeneca. Epizyme: Consultancy. von Keudell: Merck: Research Funding; Janssen: Research Funding; BMS: Research Funding; Incyte: Consultancy, Honoraria; AbbVie: Research Funding; Merck: Consultancy, Honoraria; Pharmacyclics: Consultancy, Honoraria. Batlevi: Medscape: Honoraria; Memorial Sloan Kettering Cancer Center: Current Employment; Moderna: Current holder of individual stocks in a privately-held company; Pfizer: Current holder of individual stocks in a privately-held company; ADC Therapeutics: Consultancy; Regeneron: Current holder of individual stocks in a privately-held company; TG Therapeutics: Consultancy; Kite Pharma: Consultancy; Seattle Genetics: Consultancy; TouchIME: Honoraria; BMS: Current holder of individual stocks in a privately-held company; Bayer: Research Funding; Viatris: Current holder of individual stocks in a privately-held company; Karyopharm: Consultancy; Juno/Celgene: Consultancy; Life Sciences: Consultancy; Dava Oncology: Honoraria; GLG Pharma: Consultancy; Xynomic: Research Funding; Roche/Genentech: Research Funding; Novartis: Research Funding; Epizyme: Research Funding; Janssen: Research Funding; Autolus: Research Funding. Caron: Astra-Zeneca: Current holder of individual stocks in a privately-held company; bristol myers: Current holder of individual stocks in a privately-held company; GlaxoSmithKlein: Current holder of individual stocks in a privately-held company; Johnson and Johnson: Current holder of individual stocks in a privately-held company; Novartis: Current holder of individual stocks in a privately-held company; pfizer: Current holder of individual stocks in a privately-held company; Teva: Current holder of individual stocks in a privately-held company. Noy: Rafael Parhma: Research Funding; Morphosys: Consultancy; Medscape: Consultancy; Pharmacyclics: Consultancy, Research Funding; Targeted Oncology: Consultancy; Epizyme: Consultancy; Janssen: Consultancy, Honoraria. Salles: Velosbio: Consultancy; Morphosys: Consultancy, Honoraria; Regeneron: Consultancy, Honoraria; Novartis: Consultancy; Epizyme: Consultancy, Honoraria; Allogene: Consultancy; Rapt: Consultancy; Genentech/Roche: Consultancy; Takeda: Consultancy; Miltneiy: Consultancy; Loxo: Consultancy; Kite/Gilead: Consultancy; Genmab: Consultancy; Incyte: Consultancy; Ipsen: Consultancy; Janssen: Consultancy; Debiopharm: Consultancy; BMS/Celgene: Consultancy; Beigene: Consultancy; Abbvie: Consultancy, Honoraria; Bayer: Honoraria. Moskowitz: ADC Therapeutics: Research Funding; Takeda: Consultancy; Incyte: Research Funding; Merck: Consultancy, Research Funding; Beigene: Research Funding; Seattle Genetics: Consultancy, Research Funding; Bristol-Myers Squibb: Research Funding; Miragen: Research Funding; Janpix Ltd.: Consultancy; Imbrium Therapeutics L.P./Purdue: Consultancy
Dual targeting of CD19 and CD22 with bicistronic CAR-T cells in patients with relapsed/refractory large B-cell lymphoma
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Mosunetuzumab with polatuzumab vedotin in relapsed or refractory aggressive large B cell lymphoma: a phase 1b/2 trial
Relapsed/refractory aggressive large B cell lymphoma (LBCL) remains an area of unmet need. Here we report the primary analysis of a phase 1b/2 trial of outpatient mosunetuzumab (a CD20xCD3 T-cell-engaging bispecific antibody) plus polatuzumab vedotin (an anti-CD79B antibody-drug conjugate) in relapsed/refractory LBCL. The phase 2 component is a single arm of an ongoing multi-arm trial. The primary endpoint during dose expansion was independent review committee (IRC)-assessed best overall response rate. Secondary endpoints included investigator-assessed overall response rate, complete response, duration of response, progression-free survival and overall survival. At data cutoff, 120 patients were enrolled (22 dose escalation, 98 dose expansion). The primary endpoint was met during dose expansion, with IRC-assessed best overall response rate and complete response rates of 59.2% (58/98; 95% confidence interval (CI): 48.8-69.0) and 45.9% (45/98; 95% CI: 35.8-56.3), respectively (median follow-up, 23.9 months). Median duration of complete was not reached (95% CI: 20.5-not estimable (NE)). Median progression-free survival was 11.4 months (95% CI: 6.2-18.7). Median overall survival was 23.3 months (95% CI: 14.8-NE). Across dose escalation and expansion, the most common grade 3 or higher adverse events were neutropenia (25.0%, 30/120) and fatigue (6.7%, 8/120). Any-grade cytokine release syndrome occurred in 16.7% of patients. These data demonstrate that mosunetuzumab plus polatuzumab vedotin has a favorable safety profile with highly durable responses suitable as second-line therapy in transplant-ineligible relapsed/refractory LBCL. ClinicalTrials.gov identifier: NCT03671018
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Dual targeting of CD19 and CD22 with bicistronic CAR-T cells in patients with relapsed/refractory large B-cell lymphoma
•AUTO3 ± pembrolizumab for r/r LBCL was safe and, therefore, used in outpatient administration.•AUTO3 ± pembrolizumab showed durable remissions beyond 12 months in 54.4% of complete responders and was associated with robust expansion.
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Relapse after CD19-directed chimeric antigen receptor T-cell (CAR-T) therapy for large B-cell lymphoma (LBCL) is commonly ascribed to antigen loss or CAR-T exhaustion. Multiantigen targeting and programmed cell death protein-1 blockade are rational approaches to prevent relapse. Here, we test CD19/22 dual-targeting CAR-T (AUTO3) plus pembrolizumab in relapsed/refractory LBCL (NCT03289455). End points include toxicity (primary) and response rates (secondary). Fifty-two patients received AUTO3 and 48/52 received pembrolizumab. Median age was 59 years (range, 27-83), 46/52 had stage III/ IV disease and median follow-up was 21.6 months. AUTO3 was safe; grade 1-2 and grade 3 cytokine release syndrome affected 18/52 (34.6%) and 1/52 (1.9%) patients, neurotoxicity arose in 4 patients (2/4, grade 3-4), and hemophagocytic lymphohistiocytosis affected 2 patients. Outpatient administration was tested in 20 patients, saving a median of 14 hospital days per patient. Overall response rates were 66% (48.9%, complete response [CR]; 17%, partial response). Median duration of remission (DOR) for CR patients was not reached and for all responding patients was 8.3 months (95% confidence interval [CI]: 3.0-not evaluable). 54.4% (CI: 32.8-71.7) of CR patients and 42.6% of all responding patients were projected to remain progression-free at ≥12 months. AUTO3 ± pembrolizumab for relapsed/refractory LBCL was safe and delivered durable remissions in 54.4% of complete responders, associated with robust CAR-T expansion. Neither dual-targeting CAR–T nor pembrolizumab prevented relapse in a significant proportion of patients, and future developments include next-generation–AUTO3, engineered for superior expansion in vivo, and selection of CAR binders active at low antigen densities
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Brentuximab Vedotin Combined with Chemotherapy in Newly Diagnosed, Early-Stage, Unfavorable-Risk Hodgkin Lymphoma: Extended Follow-up with Evaluation of Baseline Metabolic Tumor Volume and PET2
Identification of factors that function in Drosophila salivary gland cell death during development using proteomics
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