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Record W2574380159 · doi:10.1182/blood.v126.23.329.329

Tosedostat Plus Low Dose Cytarabine Induces a High Rate of Responses That Can be Predicted By Genetic Profiling in Elderly AML

2015· article· en· W2574380159 on OpenAlexaff
Giuseppe Visani, Federica Loscocco, Fabio Fuligni, Eliana Zuffa, Alberto Sensi, Alfonso Zaccaria, Gerardo Musuraca, Barbara Giannini, Alessandro Lucchesi, Francesca Fabbri, Anna Maria Mianulli, Patrizia Tosi, Michela Tonelli, Anna Candoni, Renato Fanin, Giovanni Sparaventi, Marco Gobbi, Marino Clavio, Marco Rocchi, Pier Paolo Piccaluga, Alessandro Isidori

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCytarabineMedicineInternal medicineMyeloid leukemiaChemotherapyProspective cohort studyGastroenterologyInduction chemotherapyOncologySurgery

Abstract

fetched live from OpenAlex

Abstract Background: Older (age ≥60 years) patients with acute myeloid leukemia (AML) have poor outcomes and intensive induction chemotherapy is frequently unsuitable. Thus, new safe and effective therapies are urgently needed. Tosedostat, a new, orally bioavailable inhibitor of members of the M1 and M17 classes of aminopeptidases, was proven to be effective in both de novo and relapsed AML. We hypothesize that the addition of tosedostat to cytarabine may improve the response rate and remission duration over what is expected with chemotherapy or tosedostat alone. Methods: This was a phase II, prospective, multicenter study, designed according to Fleming's method. Fixing the lowest acceptable rate as 10% and the successful rate as 25%, with a significance level alpha=0.05 and a power 1-beta =0.80, the sample size was estimated in 33 patients. Thirty-three patients (median age 75 years) received Tosedostat 120 milligrams orally once daily until disease progression, coupled with intermittent low-dose cytarabine given subcutaneously at 20 milligrams twice/day for 10 days. Courses of cytarabine were repeated every 4 weeks in the absence of disease progression or unacceptable toxicity, up to 8 cycles. Global gene expression profiling (GEP, Affymetrix Human Gene 2.0 Array) was performed on purified AML blasts of 29 patients from peripheral blood or bone marrow at diagnosis before treatment initiation. Unsupervised clustering was generated using a hierarchical algorithm based on the average-linkage method. Principal component analysis (PCA) and supervised gene expression analysis was performed by using GeneSpring GX 12.0 (Agilent, USA). Results: The characteristic of enrolled patients are listed in table 1 Induction-period mortality was 12%, with 4 deaths occurring in aplasia. According to intent-to-treat, the CR rate was 48.5% (16/33 patients); 2 additional patients obtained a partial response, for an overall response rate of 54.6%. In addition, 4/33 patients remained in stable disease for a median time of 9 months (range: 4-14). Seven patients did not respond and died with progressive disease after having received a median of 2 cycles of cytarabine and 45 days of tosedostat. In responding patients, the median time to best response was 74 days (range 22-145). Responding patients (CR+PR) had a longer median overall survival than non-responders (P=0.018). Six out of 18 (33%) responding patients are still in CR after a median follow-up of 425.5 days (range 208-758); 5 additional patients are alive with stable disease. Twenty-two patients died [while in aplasia (4), in CR (1), due to resistant disease (9) or due to progressive disease (8) after a median CR duration of 192 days (87-535)]. 29 patients had GEP analysis, and a molecular signature associated with the clinical response (CR vs. no CR) was identified. By supervised analysis, 212 genes differentially expressed based on the clinical response (complete remission (CR) vs no CR) were identified (Mann-Whitney, p<0.05; fold change >2). The 212 genes differentially expressed were significantly associated with six relevant biological functions and pathways: β-catenin (βcat); TNFα signaling pathway via NFκB; ERB2; STK33/SKM (serine/threonine kinase 33 expression using the SKM cell line); inflammatory response; and epithelial-mesenchymal transition pathways. Conclusions: The tosedostat and low-dose cytarabine combo produced a CR rate superior to what expected (45.4% versus 25%), and thus met the primary endpoint of study. Further, potential biomarkers were identified by GEP. Specifically, the achievement of CR could be efficiently predicted by the gene expression patterns with an overall accuracy exceeding 90%. A validation analysis is currently being conducted on additional 14 patients in order to confirm the ability of GEP to identify potential responders to TST. The study was registered at European Union Drug Regulating Authorities Clinical Trials (EudraCT) n.2012-000334-19. Acknowledgments: CTI is gratefully acknowledged for providing Tosedostat for the patients. The study was supported in part by AIL Pesaro Onlus. Table 1. Characteristic N = 33 Median age, years (range) 75 (62-85) Median WBC count, × 109/L (range) 3.05 (0.26-24.53) Blasts, % (range) 60 (20-96) Cytogenetic risk group*, n Not evaluable 3 (9%) Intermediate Karyotype 17 (52%) Unfavourable Karyotype 13 (39%) AML, n De novo 16 (48%) Secondary, n 17 (52%) Disclosures Fanin: Novartis Farma: Speakers Bureau.

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 score0.002

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 head0.030
GPT teacher head0.268
Teacher spread0.238 · 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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Citations4
Published2015
Admission routes1
Has abstractyes

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