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Record W4405044640 · doi:10.1182/blood-2024-193274

Oral Decitabine/Cedazuridine in Patients with MDS and <i>TP53</i> Mutations: A Propensity Score Matching Analysis from the Phase II and III Trials

2024· article· en· W4405044640 on OpenAlexaff
Samuel Urrutia, Koji Sasaki, Álex Bataller, H. Kantarjian, Guillermo Montalban‐Bravo, James McCloskey, Elizabeth A. Griffiths, Karen Yee, Amer M. Zeidan, Michael R. Savona, Aram Oganesian, Yuri Sano, Harold Keer, Guillermo Garcia‐Manero

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsPropensity score matchingDecitabineInternal medicineMedicineOncologyGeneticsBiologyDNA methylationGene

Abstract

fetched live from OpenAlex

Patients with myelodysplastic syndrome harboring TP53 mutations have poor outcomes. Decitabine/cedazuridine has been suggested to have activity in TP53mut MDS. This study evaluates decitabine/cedazuridine in TP53mut MDS treated in the phase 2 and 3 studies that led to the FDA approval of these drugs. Using the WHO 2022 classification, we divided patients into three groups: TP53wt, TP53single-hit, and TP53multi-hit. A total of 180 patients were analyzed of which 73 (40.5%) had TP53 mutations, 23 with TP53multi-hit. Patients with TP53multi-hit were enriched for complex cytogenetics (69.5%), and had fewer median number of co-mutations (2.5, IQR 2-3) compared to TP53single-hit(3, IQR 1-5), or TP53wt (4, IQR 3-6) (p=0.002). Complete response rates were similar between these groups, but patients with TP53multi-hit had a relatively higher likelihood of lack of response with 39.1% vs 28%, and 27.1% for TP53single-hit, and TP53wt, respectively (p = 0.2). Patients with TP53multi-hit also received fewer courses of therapy due to progression, 5 vs 7.5 for TP53single-hit, and 9 for TP53wt (p =0.016). Patients with TP53mult-hit lost response earlier with 8.2 months, vs 13.2 months for TP53single-hit, and 15.1 months for TP53wt (p=0.1). Median overall survival (mOS) was 11.5 months (95% CI: 8.6 - 19.1) for TP53mult-hit, 22.1 months (95% CI: 14.6 - 35.9) for TP53single-hit, and 31.7 months (95% CI: 19.5 - 51.1) for TP53wt MDS (log-rank, p < 0.005). With a median follow-up time of 21.5 months, at a landmark analysis of 4 months, hematopoietic stem cell transplantation (HSCT) did not result in improved survival. A propensity score matched 47 patients treated with decitabine/cedazuridine and TP53mut were matched to 47 with MDS and TP53mut treated with single agent IV hypomethylating agent (HMA) using age, ECOG performance status, IPSS-R scores, and TP53 VAF as matching features. Median overall survival was 13.1 months (95% CI: 8.4 - 21.3) for decitabine/cedazuridine vs 8.0 months (95% CI: 5.2 - 13.0) for single agent IV HMA (log-rank, p=0.047). In patients with MDS harboring TP53mut, decitabine/cedazuridine may improve survival compared to conventional single-agent IV HMA.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
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 head0.046
GPT teacher head0.325
Teacher spread0.279 · 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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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