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P552: TREATMENT OUTCOMES IN NEWLY DIAGNOSED, UNTREATED PATIENTS WITH TP53-MUTATED ACUTE MYELOID LEUKEMIA: A SYSTEMATIC LITERATURE REVIEW AND META-ANALYSIS

2022· article· en· W4283329542 on OpenAlexaff
Naval Daver, Shahed Iqbal, Camille Renard, Rebecca J. Chan, Ken Hasegawa, Hao Hu, Preston Tse, Juntao Yan, Michael J. Zoratti, Fangfang Xie, Giri Ramsingh

Bibliographic record

VenueHemaSphere · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineInternal medicineMyeloid leukemiaVenVenetoclaxOncologyRandomized controlled trialLeukemiaGastroenterology

Abstract

fetched live from OpenAlex

Background:TP53 mutations are present in 10% to 15% of patients with acute myeloid leukemia (AML) and are associated with resistance to therapy and poor outcomes. Currently available frontline therapies for TP53-mutated AML include intensive chemotherapy (IC), hypomethylating agents (HMAs), and venetoclax combined with HMA (VEN+HMA). Aims: To describe response and survival outcomes associated with IC, HMAs, and VEN+HMA in newly diagnosed, untreated patients with TP53-mutated AML. Methods: EMBASE and MEDLINE were systematically searched to identify prospective and retrospective studies that reported complete remission (CR), CR with incomplete hematologic recovery (CRi), median overall survival (OS), event-free survival (EFS), or duration of response (DOR) outcomes in patients with TP53-mutated AML treated with IC, HMAs, or VEN + HMA. Screening and data extraction were conducted independently and in duplicate by 2 reviewers. Response outcomes (CR and CRi) were pooled using random-effects models, and the median of medians method was used for time-related outcomes (OS, EFS, DOR). Results: From the 3006 abstracts identified (May 20, 2021), 17 publications (12 studies: 6 randomized controlled trials, 2 single-arm trials, and 4 retrospective studies) satisfied the inclusion criteria (Table). The percentage of patients achieving CR was highest with IC (43%; 95% CI, 30%-56%; N=133), followed by VEN+HMA (33%; 95% CI, 22%-47%; N=54;) and HMA (21%; 95% CI, 7%-49%; N=14). The CRi rate was highest with VEN+HMA (20%; 95% CI, 12%-33%; N=54), followed by IC (6%; 95% CI, 1%-20%; N=35). No studies reported CRi outcomes for HMA alone. The rates of CR/CRi were 49% (95% CI, 37%-60%; N=121) for VEN+HMA, 46% (95% CI, 39%-53%; N=200) for IC, and 13% (95% CI, 2%-48%; N=28) for HMA alone. The median OS was similarly low across the 3 treatments: 6.5 months for IC (95% CI, 5.1-8.5 months; N=155), 6.2 months for VEN+HMA (95% CI, 5.2-7.2 months; N=73), and 6.1 months for HMA (95% CI, 4.9-7.2 months; N=34). The median EFS was 3.7 months (95% CI, 1.6-5.7 months; N=133) with IC. The median DOR was 3.5 months (N=35) with IC and 5.0 months (95% CI, 3.5-6.5 months; N=54) with VEN+HMA. No studies reported EFS for HMA alone or VEN+HMA or DOR for HMA alone. Table. - Outcomes in newly diagnosed, untreated adult patients with TP53-mutated AML treated with IC, HMA, and VEN+HMA ICstudies Total, N Outcome(95% CI) HMAstudies Total, N Outcome(95% CI) VEN+HMAstudies Total, N Outcome(95% CI) CR rate 2 133 0.43(0.30-0.56) 1 14 0.21(0.07-0.49) 2 54 0.33(0.22-0.47) CRi rate 1 35 0.06(0.01-0.2) 0 - - 2 54 0.20(0.12-0.33) CR/CRi rate 4 200 0.46(0.39-0.53) 2 28 0.13(0.02-0.48) 4 121 0.49(0.37-0.60) Median OS, months 3 155 6.5(5.1-8.5) 2 34 6.1(4.9-7.2) 2 73 6.2(5.2-7.2) Median EFS, months 2 133 3.7(1.6-5.7) 0 - - 0 - - Median DOR, months 1 35 3.5(not reported) 0 - - 2 54 5.0(3.5-6.5) Summary/Conclusion: CR, CR/CRi, DOR, and median OS were modest across all treatments for newly diagnosed, untreated patients with TP53-mutated AML. Limitations of this analysis include low study and patient numbers for some interventions, the lack of direct trial comparisons, and that CR/CRi outcomes were not reported separately for DOR. The findings of this review highlight the significant unmet need for this very difficult-to-treat population.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.284
Teacher spread0.265 · 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 teacher head, not a consensus.

Study designMeta-analysis
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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Citations2
Published2022
Admission routes1
Has abstractyes

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