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Clinical and patient (pt)-reported outcomes (PROs) in a phase 3, randomized, open-label study evaluating axicabtagene ciloleucel (axi-cel) versus standard-of-care (SOC) therapy in elderly pts with relapsed/refractory (R/R) large B-cell lymphoma (LBCL; ZUMA-7).

2022· article· en· W4282018957 on OpenAlexaff
Jason R. Westin, Frederick L. Locke, Michael Dickinson, Armin Ghobadi, Mahmoud Elsawy, Tom van Meerten, David B. Miklos, Matthew L. Ulrickson, Miguel‐Angel Perales, Umar Farooq, Luciano Wannesson, Lori A. Leslie, Marie José Kersten, Caron A. Jacobson, John M. Pagel, Gerald Wulf, Linqiu Du, Julia Thornton Snider, Christina To, Olalekan O. Oluwole

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Internal medicinePhases of clinical researchChemoimmunotherapyAdverse effectRefractory (planetary science)OncologyClinical trialCancerImmunotherapy

Abstract

fetched live from OpenAlex

7548 Background: Elderly pts with R/R LBCL are at risk of inferior outcomes, increased toxicity, and inability to tolerate second-line (2L) SOC treatment (Tx) (Di M, et al. Oncologist. 2021). Further 2L SOC Tx is often associated with poor health-related quality of life (QoL) (Lin V, et al. J Clin Oncol . 2020;38:e20070). In the pivotal Phase 3 ZUMA-7 study, we assessed outcomes, including PROs, of 2L axi-cel (an autologous anti-CD19 CAR T-cell therapy) versus SOC in elderly pts with R/R LBCL. Methods: Pts aged ≥65 y were assessed in a planned subgroup analysis. Pts with ECOG PS 0-1 and R/R LBCL ≤12 mo after 1L chemoimmunotherapy (CIT) were randomized 1:1 to axi-cel or SOC (2-3 cycles of platinum-based CIT; pts with partial or complete response [CR] proceeded to HDT-ASCT). PRO instruments, including the EORTC QLQ-C30 (Global Health [GH] and Physical Functioning [PF]) and the EQ-5D-5L VAS, were administered at timepoints including baseline (BL; prior to Tx), Day (D) 50, D100, D150, and Month (M) 9, then every 3 mo up to 24 mo or time of event-free survival event (EFS), whichever occurred first. The QoL analysis set included all pts who had a BL PRO and ≥1 completed measure at D50, D100, or D150. A clinically meaningful change was defined as 10 points for each EORTC QLQ-C30 score, 7 points for EQ-5D-5L VAS score. Results: As of 03/18/2021, 51 and 58 elderly pts were randomized to the axi-cel and SOC arms, respectively, with median ages (range) of 70 y (65-80) and 69 y (65-81). At BL, more axi-cel versus SOC pts had high-risk features, including 2L age-adjusted IPI 2-3 (53% vs 31%) and elevated LDH (61% vs 41%). EFS was superior with axi-cel versus SOC (HR, 0.276, P< 0.0001), with higher CR rates (75% vs 33%). Grade ≥3 Tx-emergent adverse events (AEs) occurred in 94% and 82% of axi-cel and SOC pts, respectively, and Grade 5 Tx-related AEs occurred in 0 and 1 pt. In the QoL analysis set comprising 46 axi-cel and 42 SOC pts, there were statistically significant and clinically meaningful differences in mean change of scores from BL at D100 favoring axi-cel for EORTC QLQ-C30 GH ( P<0.0001) and PF ( P=0.0019) and EQ-5D-5L VAS ( P<0.0001). For all 3 domains, scores also favored ( P<0.05) axi-cel over SOC at D150. The mean estimated scores numerically returned to or exceeded BL scores earlier in the axi-cel arm (by D150) but never equaled or exceed BL scores by M15 in the SOC arm. Conclusions: Axi-cel demonstrated superiority over 2L SOC in pts ≥65 y with significantly improved EFS and a manageable safety profile. Compared with SOC, axi-cel also showed meaningful improvement in QoL over SOC, measured by multiple validated PRO instruments, with suggested faster recovery to pre-Tx QoL. The superior clinical outcomes and pt experience with axi-cel over SOC should help inform Tx choices in 2L R/R LBCL for pts ≥65 y. Clinical trial information: NCT03391466.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.214
GPT teacher head0.536
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

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Citations4
Published2022
Admission routes1
Has abstractyes

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