A Phase II Study of Mini-Hyper-CVD Plus Venetoclax in Patients with Philadelphia Chromosome-Negative Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
Abstract Background: The oral Bcl-2 inhibitor venetoclax (Ven) has preclinical activity in acute lymphoblastic leukemia (ALL) and has shown encouraging response rates in combination with the Bcl-xL inhibitor navitoclax in patients (pts) with relapsed/refractory (R/R) ALL. We hypothesized that the addition of Ven to low-intensity chemotherapy with mini-hyper-CVD may improve outcomes in pts with ALL. Methods: Pts ≥60 years of age with newly diagnosed Philadelphia chromosome (Ph)-negative B- or T-cell ALL/lymphoblastic lymphoma (LBL) or ≥18 years of age with R/R Ph-negative B- or T-cell ALL/LBL were eligible. Pts were required to have a PS of ≤3, total bilirubin ≤1.5 mg/dl, AST/ALT ≤3 x ULN and creatinine ≤2 mg/dl. Pts received mini-hyper-CVD alternating with methotrexate and cytarabine (cyclophosphamide and dexamethasone at 50% dose reduction, no anthracycline, methotrexate at 75% dose reduction, cytarabine at 0.5 g/m 2 x 4 doses) for up to 8 cycles. Ven was given at a dose of 400 mg daily on days 1-14 of cycle 1 and on days 1-7 of cycles 2-8. Rituximab (if CD20+ B-cell ALL) and prophylactic IT chemotherapy x 8 doses were given for the first 4 cycles. Pts with T-cell ALL received an additional 2 cycles of nelarabine (650 mg/m 2 daily on days 1-5) and peg-asparaginase (1,500 IU/m 2 [capped at 3750 IU] on day 5), without Ven, during consolidation and another 2 cycles of nelarabine plus peg-asparaginase during maintenance. Responding pts received vincristine and prednisone maintenance with venetoclax daily on days 1-14 of each 28-day cycle for up to 2 years. Results: Between 6/2019 and 12/2020, 23 pts have been treated (4 frontline and 19 R/R). Pt characteristics are summarized in Table 1. The median age in the frontline cohort was 63 yrs (range, 26-64) and in the R/R cohort was 45 (range, 21-70). In the frontline cohort 1 pt had B-ALL, 2 pts had T-cell ALL and 1 pt had T-cell LBL. In the R/R cohort, 14 had B-cell ALL, 4 had T-cell ALL, and 1 had T-cell LBL, including 2 pts with ETP ALL. Among the 19 R/R pts, the median number of prior therapies was 1 (range, 1-5) and 10 (53%) had undergone prior allogeneic stem cell transplant (alloSCT). Among the 14 R/R B-cell pts, 12 (86%) had received prior blinatumomab and 5 (36%) had received prior inotuzumab ozogamicin. Among the 4 frontline pts, 3 (75%) achieved CR. The 4 th pt achieved brief PR as best response. All responders achieved their best response after cycle 1. One pt achieved MRD negativity after cycle 1, and all 3 responders achieved MRD negativity at some point during therapy. Among the 19 R/R pts, 2 were in CR at enrollment and 17 were evaluable for morphologic response. 11 pts (65%) responded to the regimen (CR, n=8; CRp, n=2; CRi, n=1). An additional pt achieved PR. Among the 11 responders, 8 achieved best response after 1 cycle and 3 after cycle 2. 2 pts achieved MRD negativity after cycle 1, and 3 pts achieved MRD negativity at some point during therapy. Responses were similar among pts with B-cell ALL (64%) and T-cell ALL/LBL (66%) and among pts with adverse-risk karyotype (40%) and non-adverse risk karyotype (60%) [P=0.46]. The median duration of follow-up is 12.2 months (range, 2-18 months). Among the 3 frontline pts who achieved remission, 1 underwent alloSCT and is still in remission and the other 2 remain on therapy in remission. Among the 13 R/R pts who achieved remission, 6 (55%) relapsed, 4 (31%) underwent alloSCT (2 are still alive without relapse and 2 subsequently relapsed), 2 (18%) died in remission, and 1 (9%) is in remission without alloSCT or relapse. In the R/R cohort, the median PFS and OS were 6.2 and 7.1 months, respectively, and the estimated 1-year PFS and OS rates were 14% and 30%, respectively (Figure 1). Outcomes were inferior for those with adverse-risk karyotype versus others (median OS 6.0 vs 10.7 months; 1-yr OS rate: 17% vs 45%; P=0.04). Treatment was overall well-tolerated. In cycle 1, the median time to platelet recovery was 27 days (range, 0-81 days) and neutrophil recovery was 20 days (range, 0-36); in cycle, median times to recovery were 26 days (range, 17-41) and 19 days (range, 0-26), respectively. In the entire cohort, the 30-day and 60-day mortality rates were 0% and 4%, respectively. One pt in the R/R cohort died from refractory disease and sepsis on day 43. Conclusion: Low-intensity chemotherapy with hyper-CVD plus venetoclax was safe and effective in pts with Ph-negative ALL. Continued evaluation of venetoclax-based regimens in ALL, including in the frontline setting, are warranted. Figure 1 Figure 1. Disclosures Kantarjian: Ascentage: Research Funding; Immunogen: Research Funding; Jazz: Research Funding; Ipsen Pharmaceuticals: Honoraria; Pfizer: Honoraria, Research Funding; Astra Zeneca: Honoraria; Astellas Health: Honoraria; KAHR Medical Ltd: Honoraria; AbbVie: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; NOVA Research: Honoraria; BMS: Research Funding; Daiichi-Sankyo: Research Funding; Aptitude Health: Honoraria; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: Honoraria. Short: AstraZeneca: Consultancy; NGMBio: Consultancy; Jazz Pharmaceuticals: Consultancy; Astellas: Research Funding; Takeda Oncology: Consultancy, Research Funding; Novartis: Honoraria; Amgen: Consultancy, Honoraria. Thompson: Amgen: Other: Institution: Honoraria, Research Grant/Funding; Gilead: Other: Institution: Advisory/Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Pharmacyclics: Other: Institution: Advisory/Consultancy, Honoraria, Research Grant/Funding; Adaptive Biotechnologies: Other: Institution: Advisory/Consultancy, Honoraria, Research Grant/Funding, Expert Testimony; Genentech: Other: Institution: Advisory/Consultancy, Honoraria, Research Grant/Funding; AbbVie: Other: Institution: Advisory/Consultancy, Honoraria, Research Grant/Funding. Pemmaraju: Springer Science + Business Media: Other; Stemline Therapeutics, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Celgene Corporation: Consultancy; MustangBio: Consultancy, Other; Incyte: Consultancy; Abbvie Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Protagonist Therapeutics, Inc.: Consultancy; Affymetrix: Consultancy, Research Funding; Roche Diagnostics: Consultancy; DAVA Oncology: Consultancy; Clearview Healthcare Partners: Consultancy; CareDx, Inc.: Consultancy; Aptitude Health: Consultancy; Cellectis S.A. ADR: Other, Research Funding; Daiichi Sankyo, Inc.: Other, Research Funding; Plexxicon: Other, Research Funding; Samus: Other, Research Funding; ASH Communications Committee: Membership on an entity's Board of Directors or advisory committees; ASCO Leukemia Advisory Panel: Membership on an entity's Board of Directors or advisory committees; Dan's House of Hope: Membership on an entity's Board of Directors or advisory committees; HemOnc Times/Oncology Times: Membership on an entity's Board of Directors or advisory committees; Sager Strong Foundation: Other; LFB Biotechnologies: Consultancy; Novartis Pharmaceuticals: Consultancy, Other: Research Support, Research Funding; Blueprint Medicines: Consultancy; Bristol-Myers Squibb Co.: Consultancy; ImmunoGen, Inc: Consultancy; Pacylex Pharmaceuticals: Consultancy. Jain: Precision Biosciences: Honoraria, Research Funding; Incyte: Research Funding; Adaptive Biotechnologies: Honoraria, Research Funding; TG Therapeutics: Honoraria; Janssen: Honoraria; Aprea Therapeutics: Research Funding; Beigene: Honoraria; AstraZeneca: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria, Research Funding; Servier: Honoraria, Research Funding; Genentech: Honoraria, Research Funding; Pfizer: Research Funding; ADC Therapeutics: Honoraria, Research Funding; Fate Therapeutics: Research Funding; Cellectis: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; Pharmacyclics: Research Funding. Wierda: Janssen: Research Funding; AstraZeneca: Research Funding; Xencor: Research Funding; Miragen: Research Funding; Juno Therapeutics: Research Funding; Oncternal Therapeutics, Inc.: Research Funding; KITE Pharma: Research Funding; Gilead Sciences: Research Funding; Loxo Oncology, Inc.: Research Funding; GSK/Novartis: Research Funding; Cyclacel: Research Funding; Karyopharm: Research Funding; Acerta Pharma Inc.: Research Funding; Pharmacyclics LLC, an AbbVie Company: Research Funding; Genentech: Research Funding; Sunesis: Research Funding; Genzyme Corporation: Consultancy; AbbVie: Research Funding. Borthakur: GSK: Consultancy; ArgenX: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; University of Texas MD Anderson Cancer Center: Current Employment; Astex: Research Funding; Ryvu: Research Funding; Protagonist: Consultancy; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees. Ravandi: Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Taiho: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astex: Honoraria, Research Funding; Jazz: Honoraria, Research Funding; Agios: Honoraria, Research Funding; Prelude: Research Funding; AstraZeneca: Honoraria; Xencor: Honoraria, Research Funding; Nova
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".