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Discordance Between Morphologic and Cytogenetic Findings Following Induction Chemotherapy for Acute Myeloid Leukemia Is Prevalent in Patients with Bone Marrow Blasts >2% and Is Associated with Poor Clinical Outcomes

2015· article· en· W2567682454 on OpenAlexaff
Lalit Saini, Joseph Brandwein, Irwindeep Sandhu

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineInduction chemotherapyInternal medicineAcute promyelocytic leukemiaBone marrowCytogeneticsChemotherapyLeukemiaMyeloid leukemiaBiopsyCytarabineChemotherapy regimenFludarabineMyeloidGastroenterologyOncologySurgeryCyclophosphamide

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Following induction chemotherapy for Acute Myeloid Leukemia (AML), patients in morphologic complete remission (mCR) with persistent cytogenetic abnormalities (PCA) have poor outcomes relative to those achieving a mCR without a PCA. Whether these patients have similar outcomes to those failing to achieve a mCR remains unknown. Furthermore, the reasons for the discordance between morphologic and cytogenetic findings have not been well described. To address these questions we conducted a retrospective review of AML patients treated at our centre. METHODS: All non-Acute Promyelocytic Leukemia AML patients from 2004 - 2014 were eligible for inclusion however patients with normal cytogenetics at diagnosis, those not evaluated for remission and those lacking post-induction cytogenetics were excluded. mCR was determined by the attending hematopathologists after review of the bone marrow aspirate (BMA), the bone marrow trephine biopsy (BMTB) with or without immunohistochemistry and/or flow cytometry for the detection of residual disease particularly in equivocal cases. RESULTS: Study criteria were met in 111 patients. Median age was 50 years (17.6 - 77) and 63% were males. Median white blood count at diagnosis was 5.5 x 109/L (0.4 - 307) and median BMB% was 56% (11 - 96%). Most (84%) had primary AML. Cytogenetics were favorable in 28%, intermediate in 41%, and unfavorable in 31% of the patients. Chemotherapy was anthracycline based in 88% and fludarabine based in 12% of patients. Post-induction, 94 patients (85%) had mCR (78 CR + 16 CR with incomplete count recovery, CRi) following induction, 18 (19%) of whom had a PCA and thus discordance between morphologic and cytogenetic findings. There was no difference in the rate of discordance in those age ≤60 vs. age >60 (18.8 vs. 20%, p=1.0), in those with secondary AML vs. primary AML (36 vs. 16%, p=0.13) or in those treated with an anthracycline vs. fludarabine regimen (21 vs. 9%, p=0.68). Discordance was 0%, 28% and 27% in those with favorable, intermediate and unfavorable risk cytogenetics, respectively (p=0.002). A CRi was associated with higher rates of discordance relative to those in CR (50 vs. 12.8%, p=0.002). When the effects of the quality of the BMA and BMTB on the rates of discordance was evaluated, higher rates of discordance were seen in patients with dilute BMA vs. those with non-dilute aspirates (75 vs. 16.7%, p=0.02) and in those with hypocellular BMTB vs. those with cellular/hypercellular/packed BMTB (43.8 vs. 14.7%, p=0.016). Patients with BMB% of >2% had higher rates of discordance vs. those with BMB% ≤2% (46 vs. 9%, p=0.0001) No difference in discordance rates was observed between patients whose BMA were aparticulate/pauciparticulate vs. those with particulate samples (33.3 vs. 16.5%, p=0.15), in those whose BMA samples were hypocellular vs. those that were cellular/hypercellular (20 vs. 16.4%, p=0.67) and in those who had suboptimal BMTB vs. those who had adequate vs. good/excellent samples (25 vs. 18 vs. 20%, p=0.89). In multivariate analysis only the BMB% >2% was associated with high rates of discordance (p=0.0002, odds ratio = 26) between morphologic and cytogenetic findings. The outcomes of patients in mCR with a PCA (n=18) were compared with those failing to achieve a mCR (n=17). The two groups had similar characteristics although patients in mCR with a PCA had a lower median BMB% post-induction vs. those not in a mCR (3 vs. 6%, p=0.004). Of the 18 patients in mCR with a PCA, 10 (56%) underwent an allogeneic stem cell transplant (SCT) while 8 of the 17 (47%) patients not in mCR, after additional chemotherapy, went onto a SCT. Rate of relapse following SCT was similar for those with mCR with PCA vs. those not in mCR (62.5 vs. 33.3%, p=0.35) as was time to relapse (651 vs. 1973 days, p=0.56, Fig 1A). The median overall survival was also similar for patients with mCR and PCA relative to those not in mCR (542 vs. 670 days, p=0.88, Fig 1B). Conclusions: Our results strongly reinforce the need to evaluate for persistent karyotype abnormalities post induction particularly amongst patients with BMB% >2%. Further prospective studies with larger cohorts are necessary to confirm our findings. Figure 1. Overall survival. mCR, morphological complete remission; PCA, persistent cytogenetic abnormality. Figure 1. Overall survival. mCR, morphological complete remission; PCA, persistent cytogenetic abnormality. Disclosures Sandhu: Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria.

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)0.003
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.034
GPT teacher head0.321
Teacher spread0.287 · 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
Published2015
Admission routes1
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