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Record W2987093888 · doi:10.1182/blood-2019-130263

CPX-351 As First Intensive Therapy for Elderly Patients with AML

2019· article· en· W2987093888 on OpenAlexaboutno aff
Ellen K. Ritchie, Sumaiya Miah, Sangmin Lee, Tania J. Curcio, Pinkal Desai, Jeffrey Ball, Michael Samuel, Gail J. Roboz

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineCytarabineClinical endpointOncologyLeukemiaPerformance statusCancerRandomized controlled trial

Abstract

fetched live from OpenAlex

Background Acute myeloid leukemia (AML) in elderly patients is a poor prognosis disease due to many factors that include disease biology, high risk of treatment-related mortality, co-morbid illnesses, geriatric syndromes, and psychosocial factors such as cognitive decline and social isolation. Such factors make it difficult to administer intensive chemotherapy regimens needed to achieve a durable response in older patients with AML. CPX-351, Vyxeos®, is a fixed combination of the antineoplastic drugs cytarabine and daunorubicin, encased together inside the liposome in a 5:1 molar ratio. CPX-351 preferentially targets leukemic cells to a greater degree than non-leukemic cells in the bone marrow, leading to decreased cytotoxicity against normal hematopoietic cells. Methods Thirty newly-diagnosed AML patients aged ≥65yrs, without upper age limit restriction, were treated with CPX-351 as a first intensive therapy (Table 1). The primary efficacy endpoint was overall survival (OS) and the primary safety endpoint was 30-day mortality. Secondary efficacy endpoints included response rate and duration of response and assessment of the relationship between cognitive function, quality of life, and treatment outcome. Cognitive function was measured using the Montreal Cognitive Assessment (MOCA) and the Blessed Orientation-Memory-Concentration (BOMC) tests. Quality of life was assessed using the Functional Assessment of Cancer Treatment- Leukemia (FACT-Leu) questionnaire. Results Eleven patients (36.6%) achieved complete remission (CR) and 5 patients (16.6%) achieved complete remission with incomplete platelet recovery (CRi). Of these patients, 8 (26.6%) received stem cell transplants. 2 patients (6.6%) died within 30-days. Of the patients who achieved CR/CRi, 5 (16.6%) relapsed after a median remission duration of 120 days. OS at Day-30 was 93.3% and at Day-60 was 86.6%. Median OS for all patients was 14.5 months (Figure 1). Median event-free survival for all patients (defined as the time from Day 1 of treatment to persistent disease (PD) or death) has not been met at 20 months. Patients who had received prior low intensity therapy (n=16) versus those who were treatment naïve (n=14) had a significantly decreased OS (p= 0.027) (Figure 2). Median OS for previously treated patients was 5.6 months, in contrast to treatment naïve patients, who have not met median OS at 20 months. Patients who had received prior low intensity therapy also had a lower CR+CRi rate of 31.5%, in comparison to treatment naïve patients who had a CR+CRi rate of 78.5%. The most common adverse events attributable to CPX-351 were Grade 1-2 rash (20 patients, 66.7%) and Grade 2-3 decrease in left ventricular ejection fraction (LVEF) (6 patients, 20%) (Table 2). Of patients who experienced a decrease in LVEF, 5 recovered to baseline after a median of 59 days. There was a significant increase in BOMC score from baseline (BL) to the end of the first induction (EOI) (p=0.029) (Figure 3) for 29 patients. There was also a non-significant increase in the total MOCA score from BL to EOI (p=0.056) (Figure 3) for 29 patients. In addition, there was an expected overall upward trend in total FACT-Leu score from BL to EOI (n=19). There was also an upward trend in total FACT-Leu score from BL to EOI in patients who achieved CR/CRi (n=12). In contrast, there was a downward trend in total FACT-Leu score from BL to EOI in patients with PD (n=7) (Figure 4). Conclusion: Elderly AML patients can be treated safely with CPX-351 with a low 30-day mortality, a CR+CRi rate of 53.3%, and a prolonged duration of treatment response with median EFS not met at 20m. Although sample sizes for questionnaire data were small, the observed trends toward improved BOMC, MOCA, and FACT-Leu scores suggest that there may be functional cognitive improvement and improved quality of life for elderly patients treated with CPX-351. Disclosures Ritchie: Genentech: Other: Advisory board; Tolero: Other: Advisory board; Pfizer: Other: Advisory board, travel support; agios: Other: Advisory board; Celgene: Other: Advisory board; Jazz Pharmaceuticals: Research Funding; Celgene, Novartis: Other: travel support; AStella, Bristol-Myers Squibb, Novartis, NS Pharma, Pfizer: Research Funding; Ariad, Celgene, Incyte, Novartis: Speakers Bureau; Celgene, Incyte, Novartis, Pfizer: Consultancy. Lee:Helsinn: Consultancy; Jazz Pharmaceuticals, Inc: Consultancy; Roche Molecular Systems: Consultancy; AstraZeneca Pharmaceuticals: Consultancy; Karyopharm Therapeutics: Consultancy; Ai Therapeutics: Research Funding. Desai:Cellerant: Consultancy; Astex: Research Funding; Astellas: Honoraria; Sanofi: Consultancy; Celgene: Consultancy. Roboz:Sandoz: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Trovagene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Orsenix: Consultancy, Membership on an entity's Board of Directors or advisory committees; Otsuka: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Eisai: Consultancy, Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celltrion: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amphivena: Consultancy, Membership on an entity's Board of Directors or advisory committees; Argenx: Consultancy, Membership on an entity's Board of Directors or advisory committees; Actinium: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astex: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.263
Teacher spread0.252 · 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 designNon-randomized trial
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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Citations6
Published2019
Admission routes1
Has abstractyes

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