Real-World Evidence of Axicabtagene Ciloleucel for the Treatment of Large B Cell Lymphoma in the United States
Bibliographic record
Abstract
Axicabtagene ciloleucel (axi-cel) is a standard-of-care for patients with relapsed or refractory (r/r) large B cell lymphoma who have received 2 or more lines of prior therapy. Patients receiving axi-cel in the real world could have broader a demographic, disease, and treatment profile compared with that of the cohort in the pivotal ZUMA-1 trial. The present study was conducted to evaluate the outcomes of axi-cel therapy in the real-world setting. A total of 1297 patients receiving commercial axi-cel between 2017 and 2020 were selected from the Center for International Blood and Marrow Transplant Research's data registry, of whom 739 (57%) would have been ineligible for inclusion in the ZUMA-1 cohort. Efficacy and safety outcomes were described for the entire cohort and by ZUMA-1 eligibility. Their associations with age, Eastern Cooperative Oncology Group Performance Score, and comorbidities were evaluated using multivariable logistic and Cox regressions. At a median follow-up of 12.9 months, the overall response rate (ORR) was 73%, with a 56% complete response (CR) rate. Median overall survival (OS) and progression-free survival (PFS) were 21.8 months (95% confidence interval [CI], 17.4 to 28.8 months) and 8.6 months (95% CI, 6.5 to 12.1 months), respectively. Duration of response (DOR) was comparable in the ZUMA-1 ineligible patients and ZUMA-1 eligible patients (62% by 1 year [95% CI, 57% to 66%] versus 67% [95% CI, 62% to 72%]). Patients age ≥65 years had favorable ORR (odds ratio [OR], 1.39; 95% CI, 1.05 to 1.83) despite having a higher risk of cytokine release syndrome (CRS) (OR, 1.41; 95% CI, 1.02 to 1.94) and immune effector cell-associated neurotoxicity syndrome (ICANS) (OR, 1.77; 95% CI, 1.39-2.26). Eastern Cooperative Oncology Group Performance Score ≥2 was associated with inferior efficacy outcomes (OR for ORR, 0.32; 95% CI, 0.18-0.56; hazard ratio [HR] for OS, 3.27; 95% CI, 2.37 to 4.52) and higher incidence of ICANS (OR, 2.63; 95% CI, 1.40 to 4.93). The patients ineligible for ZUMA-1 still had a durable response with axi-cel. Elderly patients had favorable efficacy outcomes despite higher rates of CRS and ICANS. Patient selection for standard-of-care axi-cel should consider comorbidities and risk-to-benefit ratio rather than be based strictly on ZUMA-1 eligibility.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".