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Comparative Efficacy Among Chronic Phase-Chronic Myeloid Leukemia (CP-CML) Patients After Failure Of 2nd Generation Tyrosine Kinase Inhibitors (2G TKIs)

2013· article· en· W2515880454 on OpenAlexaff
Jeff H. Lipton, Peter Bryden, Manpreet Sidhu, Hui Huang, Lisa J. McGarry, Stephanie Lustgarten, Beth Woods, Neil Hawkins

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineBosutinibNilotinibPonatinibDasatinibInternal medicineOncologyImatinibClinical trialCochrane LibraryMyeloid leukemiaMeta-analysis

Abstract

fetched live from OpenAlex

Abstract Introduction Despite major advances in treatment, resistance and intolerance (R/I) continue to be a significant challenge in the management of CP-CML, with failure of commonly used 2G TKIs (dasatinib, nilotinib, bosutinib) occurring in >50% of patients over the course of treatment in the post-imatinib setting. Treatment options for patients who developed R/I to these 2G TKIs often had been limited to stem cell transplant or clinical trials. The availability of the new pharmacologic treatments has provided more options for patients in this setting. Ponatinib is the only TKI recommended to treat all TKI-resistant mutations listed in the National Comprehensive Cancer Network (NCCN) clinical practice guidelines, including the T315I mutation for which no other TKI is effective. However, the comparative efficacy of using ponatinib versus switching to a different pharmacologic treatment after 2G TKI failure has not been systematically examined. Methods A systematic review was conducted in MEDLINE, EMBASE and the Cochrane Libraries (2002-2012) as well as 3 conferences (ASH, ASCO, and EHA) over 5 years (2008-2012). Studies were included if they enrolled 10 or more adult patients and presented results for CP-CML patients who were R/I following 2G TKI treatment. All study designs were considered and no restriction was applied with respect to therapy dose, due to incomplete reporting of doses in the available studies. Reported cumulative response rates (regardless of time period of reporting) and derived confidence intervals from individual studies were plotted, with node size determined by number of patients in study arm. In addition, Bayesian methods were used to synthesize major cytogenetic response (MCyR) and complete cytogenetic response (CCyR) from individual studies and estimate the overall response probability with 95% credible interval (CrI) for each treatment. Bayesian analysis also was used to estimate the likelihood that each treatment offers the highest probability of CCyR/MCyR based on available evidence. Response probabilities for ponatinib were estimated using individual patient data from the phase 2 PACE study and published phase 1 study data. For the PACE study, only patients who had received 2 prior TKIs were included in the analysis, to provide an appropriate comparison to the published 2G TKI studies which included predominantly 3rd line patients. The base case analysis includes patients both with and without the T315I mutation; a sensitivity analysis focused on the subset of studies without substantial numbers of enrollees with the T315I mutation and those that presented subgroup results excluding patients with the mutation. Results 13 clinical trials and observational studies were included in the analysis. All studies reported CCyR and 8 reported MCyR. CCyR data from each study, with derived confidence intervals, are presented in Figure 1. Synthesized treatment-specific probabilities of CCyR across 2G TKIs ranged from 22.0% (bosutinib) to 26.9% (nilotinib) compared to 60.5% (95% CrI 52.1% to 68.6%) for ponatinib. Treatment-specific probabilities of MCyR across 2G TKIs ranged from 29.7% (bosutinib) to 49.9% (dasatinib or nilotinib) compared to 70.2% (62.1% to 77.7%) for ponatinib. CCyR and MCyR rates for omacetaxine were lower than those observed for both the 2G TKIs and ponatinib (9.9% and 19.8% respectively). The probability of ponatinib providing superior response to all other included treatments was estimated at 99.9% for CCyR and 97.4% for MCyR. Results in patients without the T315I mutation were similar: the probability of CCyR with ponatinib was 52.1% (41.9% to 62.4%) compared to 22.1% to 26.9% across 2G TKIs. The probability of MCyR with ponatinib was 64.2% (54.1% to 73.6%) compared to 29.7% to 50.0% across 2G TKIs. Conclusions The analysis suggests that CP-CML patients who are resistant or intolerant to prior 2G TKI therapies have higher complete (33.6 to 38.5 percentage points higher) and major (20.3 to 40.5 percentage points higher) cytogenic response with ponatinib compared with the 2G TKIs included in this analysis. Based on available data, ponatinib appears to provide a higher probability of treatment response compared to all other pharmacologic treatments commonly used in this indication. This observation was consistent both for the overall patient population and among the subset of patients without the T315I mutation. Disclosures: Lipton: Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Ariad: Equity Ownership, Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau. Bryden:Ariad Pharmaceuticals, Inc.: Research Funding. Sidhu:Ariad Pharmaceuticals, Inc.: Research Funding. Huang:Ariad Pharmaceuticals, Inc.: Employment. McGarry:Ariad Pharmaceuticals, Inc.: Employment; GSK: Consultancy; BMS: Consultancy; Pfizer: Consultancy; Janssen (J&J): Consultancy. Lustgarten:ARIAD: employees of and own stock/stock options in ARIAD Pharmaceuticals, Inc Other, Employment. Woods:Ariad Pharmaceuticals, Inc.: Research Funding. Hawkins:Ariad Pharmaceuticals, Inc.: Research Funding.

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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)0.010
metaresearch head score (Gemma)0.022
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.010
Bibliometrics0.0060.005
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.256
Teacher spread0.242 · 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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Published2013
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