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Record W4389244310 · doi:10.1182/blood-2023-188464

Outcomes of Patients with Acute Myeloid Leukemia with Myelodysplasia Related Changes (AML-MRC) Receiving Intensive Vs. Non-Intensive First Line Treatment

2023· article· en· W4389244310 on OpenAlexaff
Signy Chow, Alexandra Misura, Olga Bigun, Sila Usta, Renato Sasso, Dylan Gowlett-Park, Katarina Czibere, Rena Buckstein, Lee Mozessohn, Lisa Chodirker, Theodore A. Kennedy, Hubert Tsui

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineInternal medicineCytarabineAzacitidineMyeloid leukemiaDecitabineHypomethylating agentIdarubicinOncologyFlag (linear algebra)FludarabineLeukemiaHematologyChemotherapyCyclophosphamide

Abstract

fetched live from OpenAlex

Background: Acute myeloid leukemia with myelodysplasia related changes (AML-MRC) a distinct clinico-pathologic subtype of AML recognized in the WHO and ICC 2022 classifications of hematolymphoid neoplasms (AML-MRC and AML-MR respectively). Compared to other subtypes, patients with AML-MRC/AML-MR have a worse prognosis and are less likely to respond to treatment. Traditionally, patients who are eligible for allogenic stem cell transplant (SCT) with AML-MRC/AML-MR are given high intensity chemotherapy (IC), such as daunorubicin and cytarabine (“7+3”), liposomal 7+3 or fludarabine+cytarabine+idarubicin (FLAG-IDA) whereas patients who are not transplant-eligible were treated with hypomethylating agents (i.e. azacitidine). Recently, azacitidine + venetoclax (aza/ven) has emerged as an important option for all AML patients over 75 years of age or with significant comorbidities who are not eligible for IC. However, the efficacy of aza/ven compared to IC for AML-MRC who are candidates for either has not been clearly established. Methodology: We conducted a single centre retrospective review of patients diagnosed with AML-MRC/AML-MR at Sunnybrook Health Science Centre (SHSC). A list of patients with AML-MRC/AML-MR was compiled from records from the Sunnybrook Hematology Biobank, which collects specimens and clinical data from 95% of acute leukemia patients presenting to SHSC. 65 patient charts were reviewed, and 60 patients were included in the study. 3 patients were not treated at SHSC and 2 were more appropriately classified as AML with recurrent genetic abnormalities. Treatment with a “7+3” backbone or FLAG-IDA were considered ‘intensive’ regimens; treatment with azacitidine with or without venetoclax, and low dose cytarabine (LDAC), with or without venetoclax were considered ‘non-intensive.‘ ELN 2022 criteria were used to evaluate responses to therapy. Results: 60 patients with AML-MRC/AML-MR were treated at SHSC from January 2021 to April 2023. The median age was 74 (37-99) y.o. 34 patients were male. The upper age of eligibility for allogeneic stem cell transplant was considered 72 years for this study. 28 patients were SCT eligible (31-72y.o.) and 32 patients were SCT ineligible (73-99y.o.). For SCT eligible patients, 14/28 were treated intensively and 10/28 were treated non intensively. 4 patients did not receive treatment. Of the SCT eligible group, 6/14 intensively treated patients achieved a CR/CRi compared to 5/10 non-intensively treated patients. For SCT ineligible patients, 8/32 did not receive treatment and the remaining 24 were treated non intensively. 12/24 SCT ineligible patients receiving treatment were given azacitidine+ venetoclax (aza/ven) and 9/12 achieved a CR/CRi. 7/24 patients received LDAC + venetoclax and 3/7 achieved a CR. In total, 14/60 patients were treated intensively, 21/60 patients were treated with aza/ven, 7/60 received LDAC+venetoclax, 5/60 azacitidine alone and 1/60 LDAC alone. 12/60 patients did not receive leukemia-directed therapy, either due to concomitant illness precluding treatment or a decision to decline treatment. Notably, 14/21 patients receiving aza/ven achieved a CR/CRi compared to 6/14 intensively treated patients, though more intensively treated patients ultimately proceeded to transplant (Figure 1). 48 patients who underwent therapy had next generation sequencing data for mutations of interest in AML. The most common mutations found in this cohort were ASXL1 (32), SRSF2 (20), RUNX1 (18), TET2 (17), IDH2 (16) and TP53 (12). No differences were found between patients that responded to first line therapy compared to those that did not, or those that responded to intensive chemotherapy compared to those responding to non-intensive treatment (Figure 2). Conclusion: Aza/Ven is an effective treatment regimen for AML-MRC/AML-MR, with 14/21 patients achieving CR/CRi after firstline treatment compared to 6/14 patients after IC. 4/4 patients achieved CR/CRi with salvage aza/ven after failing to respond to IC. Our study suggests that aza/ven should be considered as a firstline treatment option even in patients who are fit for intensive therapy as a means to achieve adequate responses to bridge to allogenic stem cell transplant without attendant toxicities associated with IC. Further studies are required to determine if specific mutations can predict response to either aza/ven or intensive treatment.

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)0.002
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.259
Teacher spread0.245 · 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
Published2023
Admission routes1
Has abstractyes

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