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Record W4417013395 · doi:10.1182/blood-2025-1738

Outcomes following MRD relapse in AML patients monitored by droplet digital PCR

2025· article· en· W4417013395 on OpenAlexaffabout
Bo Wan, Curtis Hughesman, Yasser Abou Mourad, Shanee Chung, Donna Forrest, Florian Kuchenbauer, Stephen H. Nantel, Sujaatha Narayanan, Thomas J. Nevill, Hannah Cherniawsky, Judith Anula Rodrigo, Aly Karsan, Sean D. Young, Kevin Song, Ryan J. Stubbins, Cynthia L. Toze, Jennifer White, Claudie Roy, David Sanford

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsCanada's Michael Smith Genome Sciences CentreLeukemia & Lymphoma Society of CanadaUniversity of British Columbia
Fundersnot available
KeywordsMyeloid leukemiaMinimal residual diseaseLeukemiaInduction chemotherapyBone marrowNPM1ChemotherapyChemotherapy regimenCancer

Abstract

fetched live from OpenAlex

Abstract Introduction: European Leukemia Network (ELN) guidelines recommend PCR-based measurable residual disease (MRD) monitoring for patients with acute myeloid leukemia (AML) with NPM1 mutation (NPM1mut), t(8;21)/RUNX1::RUNX1T1 or inv(16)/CBFB::MYH11 during and after treatment. This may enable early detection of MRD relapse and intervention prior to morphologic relapse. MRD testing for these AML subtypes has been performed for patients treated at the Leukemia and Bone Marrow Transplant (L/BMT) Program of British Columbia (BC) since 2022. We analyzed patient outcomes following MRD relapse and treatment in this patient cohort. Methods: A retrospective study was conducted on consecutive adult patients in BC, Canada diagnosed with AML between April 2022 and October 2024 who received frontline intensive chemotherapy and had ≥2 MRD measurements. Patients not achieving complete response (CR)/CR with incomplete count recovery (CRi) or those receiving non-intensive therapy were excluded. MRD testing was performed by the Cancer Genetic and Genomics Laboratory, BC Cancer using droplet digital PCR (ddPCR). The routine limit of reliable detection for the assay is 10-4.5 or better. Frequency of monitoring followed ELN 2021 guidelines with monthly peripheral blood testing post-consolidation or stem cell transplant (SCT). Overall survival (OS) was defined from date of diagnosis to date of death. MRD relapse was defined as a conversion from a negative to detectable MRD, or an increase of MRD ≥1 order of magnitude (≥1log10). Survival analysis was performed using the Kaplan-Meier survival estimator and the log-rank test was used to test for differences. Results: Among 97 patients who met inclusion criteria, the median age at diagnosis was 57 years (range 19-72); 55 (57%) were male. There were 75 (75%) patients with NPM1mut, 16 (17%) with inv(16), and 6 (6%) with t(8;21). Based on ELN 2022 criteria, 68 (70%) were favourable risk, 28 (29%) intermediate risk, and one (1%) adverse risk. Forty-one (42%) patients underwent allogeneic SCT (alloSCT) in CR1, 8 (8%) in CR2; one had autologous (auto) SCT in CR1. Median follow-up was 22 months (range 4.5-65). The 1-, 2-, and 3-year OS was 94%, 93%, and 71% respectively, with no significant OS difference among AML subtypes. Twenty-two (23%) patients had MRD relapse after chemotherapy, with a median time from CR/CRi to MRD relapse of 7.7 months (range 2-24). Sixteen (73%) received pre-emptive treatment: intermediate or high dose cytarabine (INDAC/HIDAC) (n=11), azacitidine (n=2), azacitidine + venetoclax (n=2), and FLAG-Ida (n=1); 15 (68%) later underwent SCT (14 allo, 1 auto). The overall response rate (ORR) to pre-emptive treatment among the 14 patients evaluable for MRD was 50% (MRD negative [n=2], ≥ 3 log10 reduction [n=2], 1-3 log10 reduction [n=3]). One patient relapsed post-treatment (alloHSCT) and died. Among 15 patients without relapse, 14 remain alive. Among 6 patients not receiving pre-emptive therapy, 3 relapsed and died. Median OS of patients with MRD relapse after chemotherapy was not reached; the 1- and 2-year OS was 95% and 67% respectively. The 2-year OS was higher with pre-emptive treatment vs. no treatment group (80% vs. 27%, p=0.012). Thirteen patients had MRD relapse post-alloSCT with a median time from alloSCT to MRD relapse of 5 months (range 2-15). Twelve patients received pre-emptive therapy: azacitidine (n=1), azacitidine + donor lymphocyte infusion (DLI, n=4), azacitidine + venetoclax + DLI (n=1), withdrawal of immunosuppression (n=2), and gilteritinib (n=4). The ORR was 60% among 10 patients with evaluable MRD responses (MRD negative [n=5], ≥ 3 log10 reduction [n=1]). Three patients relapsed post-treatment and died; 8 of the remaining 9 relapse-free patients remain alive. One patient with MRD relapse post-alloSCT received no therapy and died after morphologic relapse. The median OS of patients with MRD relapse after transplant was not reached and the 1- and 2-year OS was 84% and 65% respectively. For the entire cohort, patients with initial MRD relapse had significantly longer OS compared to those with morphologic relapse without prior MRD relapse (p=0.004). Conclusion: Our results suggest that ddPCR-based MRD monitoring per ELN guidelines allows for pre-emptive treatment in most patients. Early results suggest patients receiving treatment for MRD relapse had favorable outcomes compared to those untreated or those with morphologic relapse without prior MRD relapse.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.275
Teacher spread0.267 · 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
Published2025
Admission routes2
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