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Record W4405041605 · doi:10.1182/blood-2024-209687

Survival Outcomes for Patients with Acute Myeloid Leukemia with Myelodysplasia Related Changes (AML-MRC) in a Real-World, Retrospective Cohort Receiving Intensive Chemotherapy

2024· article· en· W4405041605 on OpenAlexaff
Nicholas L.J. Chornenki, Afraa Fadul, Analiza Supan, Yasser Abou Mourad, Hannah Cherniawsky, Shanee Chung, Donna L. Forrest, Deepesh Lad, Aly Karsan, Florian Kuchenbauer, Eric McGinnis, Stephen H. Nantel, Sujaatha Narayanan, Thomas J. Nevill, Judith Anula Rodrigo, Claudie Roy, David Sanford, Kevin Song, Cynthia L. Toze, Jennifer White, Ryan J. Stubbins

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsVancouver General HospitalCanada's Michael Smith Genome Sciences CentreBC Cancer AgencyUniversity of British Columbia
Fundersnot available
KeywordsMedicineMyeloid leukemiaRetrospective cohort studyInternal medicineChemotherapy regimenChemotherapyCohortOncologyOverall survivalLeukemiaHematologic NeoplasmsCancer

Abstract

fetched live from OpenAlex

Introduction Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) is defined by the presence of myelodysplasia-related cytogenetic abnormalities (MRC-cyt) or gene mutations (MRC-mut) in the 2022 International Consensus Classification (ICC) guidelines. This replaced previous definitions from the 2016 World Health Organization (WHO) guidelines which included only morphologic, clinical, and cytogenetic criteria. AML with mutated TP53 (AML-TP53) was also recognized as a separate entity, whereas many TP53-mutated (mt) patients were AML-MRC by WHO 2016. Patients with MRC-mut and some with MRC-cyt are classified as adverse (adv)-risk in the European LeukemiaNet (ELN) 2022, unless occurring in the context of favorable (fav)-risk subtypes. However, many validation studies for the AML-MRC cytogenetic and mutation criteria were based on historical induction chemotherapy (IC) cohorts, which may not reflect current practice. We assessed the number of patients reclassified as AML-MRC by 2016 vs. 2022 criteria and defined survival outcomes for AML-MRC and AML-TP53 patients in a recent, real-world cohort of AML patients receiving IC. Methods Sequential patients with newly diagnosed AML, excluding acute promyelocytic leukemia, receiving IC were retrospectively identified at a single institution from 2016-2022. Patients received 7+3 (cytarabine 100mg/m2, daunorubicin 60mg/m2), CPX-351 (44mg/m2), or other cytarabine-based IC. Cytogenetics and next-generation sequencing were done in a clinical lab; patients without these were excluded. Patients were retrospectively classified as AML-MRC or AML-TP53 by both WHO 2016 and ICC 2022, with hierarchical classification of patients as AML-TP53, MRC-mut, or MRC-cyt. Patients met WHO 2016 clinical criteria if they had morphologic dysplasia or prior MDS or MDS/MPN, without mutated NPM1 or CEBPA. Therapy-related AML was included as a 2016 clinical criteria. Survival analysis was by Kaplan-Meier, between-group comparisons by t-test. Results We identified 420 AML patients who received IC. Median age was 58.7 years (yrs) (range 21-77 yrs). IC was 7+3 in 89% (374/420), CPX-351 in 8% (34/420), and other cytarabine-based IC in 3% (12/420); 19% (78/420) received FLT3-inhibitor and 12% (52/420) GO. Overall, 22% (92/420) of the cohort met MRC 2016 criteria and 29% (122/420) met MRC 2022 criteria. Only 15% (63/420) of patients met both MRC 2016 and 2022 criteria. AML-MRC patients were older when considered by 2016 (61.4 vs. 57.9 yrs, P=0.043) or 2022 (60.8 vs. 57.8 yrs, P=0.031) criteria. MRC 2016 patients had a median overall survival (mOS) of 19.7 months (mo) vs. 46.4 mo (P=0.003). However, 25% (23/92) of MRC 2016 patients had TP53-mt; removing these patients resulted in a mOS of 27.8 mo for MRC 2016 patients vs. 46.4 mo (P=0.200). AML-TP53 per ICC 2022 comprised 5% (23/420) of all patients; these patients had a mOS of 7.0 mo vs. 45.9 mo (P<0.001). Amongst ICC 2022 AML-MRC patients, 83% (102/122) were MRC-mut (median 2 mt, range 0-5) and 16% (20/122) were MRC-cyt. AML-MRC patients had a mOS of 46.5 mo vs. 33.6 mo in the overall cohort (P=0.940). Comparing the AML-MRC group to ELN 2022 int-risk patients, we observed a mOS of 46.5 mo vs. 25.9 mo (P=0.450). MRC-mut patients had a mOS of 49.5 mo vs. 33.6 mo in the overall cohort (P=0.730). MRC-cyt patients had a mOS of 24.4 mo vs. 33.6 mo in the overall cohort (P=0.340) Within the MRC-mut group, no difference in mOS was seen for chromatin modifier (P=0.260), splicing (P=0.390), transcription factor (P=0.270) or mixed (P=0.720) mutation patterns. There was no difference for patients with >1 vs. 1 MRC-mut (P=0.660). Among ELN fav-risk patients, 18% (23/129) had a MRC-mut with a mOS of 33.6 mo vs. not reached for those without (P=0.280). Patients meeting 2016 criteria receiving CPX-351 (26%, 24/92) had a mOS of 36.5 mo vs. other IC regimens (74%, 68/92) at 16.7 mo (P=0.290). Patients meeting 2022 criteria receiving CPX-351 (18%, 19/122) had a mOS of 63.3 mo vs. other IC regimens (84%, 103/122) at 46.5 mo (P=0.930). Conclusion Patients with ICC 2022 AML-MRC are a substantively different group than older MRC cohorts. Patients with MRC-defining cytogenetic abnormalities or mutations had comparable mOS to ELN int-risk patients. MRC-defining mutations did not modify mOS for ELN fav-risk patients. Patients with AML-TP53 have dismal outcomes. Further study is needed to clarify risk stratification of AML-MRC in the modern treatment era.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.011
GPT teacher head0.279
Teacher spread0.268 · 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
Published2024
Admission routes1
Has abstractyes

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