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Record W3213616525 · doi:10.1182/blood-2021-148044

Impact of Post-Remission Maintenance Therapy (MT) on Outcomes in Patients (pts) with Newly Diagnosed Acute Myeloid Leukemia (AML) in Real-World Practice

2021· article· en· W3213616525 on OpenAlexaboutno aff
Ravi Potluri, David Rotter, Zephirin Kiendrebeogo, Clara Chen

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVenetoclaxInternal medicineOncologyInduction chemotherapyCohortMyeloid leukemiaMaintenance therapyAzacitidineMinimal residual diseaseChemotherapyLeukemiaChronic lymphocytic leukemia

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION : Therapeutic advances have led to improved survival outcomes in patients (pts) with AML. Consolidation therapy helps to eradicate residual leukemia and prevent relapse. However, relapse remains a major concern and contributes to suboptimal outcomes in pts with newly diagnosed AML who attain remission following induction chemotherapy (IC). Strategies for maintenance therapy (MT) attempt to prolong AML remission and extend survival. MT approaches have included chemotherapy, hypomethylating agents (HMAs), and targeted small-molecule drugs. Overall, the evidence in favor of MT is limited. The oral formulation of azacitidine (Oral-AZA), an HMA, is the first and only MT to demonstrate significant overall survival (OS) and relapse-free survival (RFS) benefits in pts with a broad range of AML subtypes (Wei, NEJM 2020), leading to regulatory approvals in the United States (2020), Canada (2021), and European Union (2021). This study aimed to determine in real-world practice whether the use of MT after IC, with or without consolidation, conferred any clinical advantage before Oral-AZA became available. METHODS: This study included pts in the US-based Flatiron TM Health cancer-specific electronic health record-derived database diagnosed with AML between January 2014 and December 2020. Eligible pts in this study obtained remission (< 5% bone marrow blasts) from first-line (1L) induction chemotherapy or venetoclax (VEN)-based therapy, had not previously taken Oral-AZA or any clinical study drug, and did not undergo transplant prior to relapse. Pts were grouped into 2 cohorts: Cohort A comprised pts who did not receive MT, and Cohort B comprised pts who did receive MT. RFS and OS were estimated using Kaplan-Meier (KM) methods. Multivariate Cox regression models that retained baseline (BL) characteristics (age, sex, BMI, ECOG performance status [PS], and cytogenetic risk) were used to examine the relationships between use of MT and relapse (> 5% bone marrow blasts), and MT and survival. RESULTS: A total of 952 pts met the selection criteria: 808 pts (84.9%) in Cohort A and 144 pts (15.1%) in Cohort B. The most commonly received MTs for pts in Cohort B were injectable AZA (34.7%; n = 50), decitabine (24.3%; n = 35), and VEN-based regimens (21.5%; n = 31). Cohorts A and B were comparable for sex, BL BMI, ECOG PS score, and practice type (Table). Pts who did not receive MT (Cohort A) were younger (mean age 62.1 vs 66.0 years; P = 0.006) and more commonly presented with favorable cytogenetic risk (17.2% vs 6.9%; P = 0.011) compared with pts who received MT (Cohort B). The percentage of pts receiving IC in a 7+3 regimen was similar between Cohort A and Cohort B (69.1% vs 67.4%, respectively; P = 0.685), as were the proportions of pts receiving VEN + an HMA (23.3% vs 17.4% P = 0.118). The KM analysis indicated that although median RFS of Cohort A was longer than Cohort B, differences between cohorts were not statistically significant (303 vs 276 days, P = 0.175). In a subanalysis of pts with intermediate/poor cytogenetic risk, median RFS was 201 days for Cohort A and 230 days for Cohort B (P = 0.952). In the multivariate Cox model, treatment with MT was not a significant predictor of improved RFS vs no MT (hazard ratio [95% CI]: 0.97 [0.79, 1.20]). Age and cytogenetic risk were significantly associated with RFS. The median OS was 659 days for Cohort A and 389 days for Cohort B (P = 0.006). In the subanalysis excluding pts with favorable or unknown cytogenetic risk, median OS was 400 days for Cohort A and 366 days for Cohort B (P = 0.561). A multivariate Cox regression model suggested that treatment with MT was not a significant predictor of improved OS (hazard ratio [95% CI]: 0.88 [0.70, 1.10]). Age, sex, ECOG PS, and cytogenetic risk were all significantly associated with OS. CONCLUSIONS: These Flatiron data provide real-world evidence that despite decades of study, optimal MT in AML had remained elusive. Prior to approval of Oral-AZA, the most common MT options for pts with AML in first remission after 1L induction therapy were limited and appeared to lack clinical benefit. Pts with AML need an MT that prolongs remission and improves long-term survival. Further research is needed to elucidate the benefits and disadvantages of different MT options and may lead to establishment of optimal MT as standard of care. Figure 1 Figure 1. Disclosures Potluri: Bristol Myers Squibb: Consultancy. Rotter: SmartAnalyst Inc.: Current Employment. Chen: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.323
Teacher spread0.308 · 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 designObservational
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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Citations0
Published2021
Admission routes1
Has abstractyes

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