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Record W4405034729 · doi:10.1182/blood-2024-205681

Retrospective Study to Compare Treatment Outcomes of Asciminib Vs. Ponatinib in 99 Patients with T315I Mutated Chronic Myeloid Leukemia

2024· article· en· W4405034729 on OpenAlexaffabout
María Agustina Perusini, Camille Kockerols, Daniela Žáčková, Franck E. Nicolini, Fausto Castagnetti, Carolina Pavlovsky, Massimo Breccia, Delphine Réa, Carmen Fava, Lynn Savoie, Christophe Bouvier, Petra Čičátková, Julien Bollard, Swe Mar Linn, Gopila Gupta, Emilia Scalzulli, Tomoiku Takaku, Hiroshi Ureshino, Shinya Kimura, Sung‐Eun Lee, Dragana Milojković, Andrew J. Innes, Simone Claudiani, Valentín García‐Gutiérrez, Jiří Mayer, Peter E. Westerweel, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversity of CalgaryPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicinePonatinibInternal medicineDiscontinuationMyeloid leukemiaOncologyNilotinibImatinib

Abstract

fetched live from OpenAlex

Introduction. Patients (pts) with T315I-mutated chronic myeloid leukemia (CML) experience poor outcomes due to refractoriness and resistance to most approved tyrosine kinase inhibitors (TKIs). While ponatinib (PON) has demonstrated efficacy in T315-mutated CML pts, it is also known to be associated with an increased rate of cardiovascular disease (CVD). Asciminib (ASC) targets the ABL kinase myristoyl-binding pocket with high specificity and limited off-target activity, remaining effective against BCR::ABL1 kinase domain (KD) mutations, including T315I. It is debated if the efficacy of ASC is comparable to PON in this subgroup of pts. Methods & patients. Data from 607 CML pts treated with ASC or PON across 9 countries (Canada, the Netherlands, Czech Republic, France, Argentina, Italy, Japan, South Korea, and Spain) were retrospectively analyzed. PSM analysis from this cohort was presented at EHA 2024. For the current research we focused exclusively on pts with T315I mutations. Primary endpoints were event-free survival (EFS) and failure-free survival (FFS). FFS was calculated from the start date of the TKI of interest until treatment failure or last follow-up. EFS included discontinuation events. Major molecular response (MMR) was defined as BCR::ABL <0.1%IS. Treatment failure was defined as loss of complete hematologic response, loss of major cytogenetic response, transformation to accelerated or blast phase (A/BP), or death. Results. 99 pts with T315I-mutated CML were included: 35 treated with ASC and 64 with PON. The ASC group was older than the PON group (median age, 62 vs 50 years; p<0.001). Disease phase at diagnosis was comparable between the ASC and PON groups (20% vs 15% of A/BP; p=0.475). Sokal risk score was also similar: high risk in 47%, int risk in 38%, and low risk in 15%, (p=0.188). There were no differences in additional cytogenetic abnormalities or compound KD mutations between groups. Resistance was the primary cause of treatment failure in 79% of pts overall, with 59% in ASC group and 90% in PON group (p<0.001). Intolerance was the second most common cause, occurring in 20% of cases overall, with 41% in ASC group and 10% in PON group (p<0.001). Notably, 91% of pts in the ASC group had received at least 2 lines of TKI therapy prior (including PON in 28 pts (80%) compared to 53% in PON group (p<0.001). No PON-treated pts had previously received ASC. History of CVD including coronary artery disease (n=9), myocardial infarction (n=25), stroke (n=3) or peripheral artery occlusive disease (n=10) was present in 29% of pts overall, with 40% in ASC and 22% in PON group (p=0.06). Median starting dose (mg/day-range) of ASC was 400(80-400) and for PON, 45(15-45). With a median follow-up duration of 507 days in the ASC group and 2027 days in the PON group (p<0.001), MMR at 12 months was 56.6% (95% CI [45.4-68.4]). There were no significant differences between ASC (49.7%, [30.3-73.0]) and PON (59.3%, [46.1-72.9]) in terms of MMR (p = 0.38). Similarly, including only the 76 resistant pts, MMR was 52.1% (95% CI [27.3-80.02]) and 61.5% (95% CI [47.9-75.3]) for ASC and PON treated pts respectively (p=0.43). Overall EFS at 12 months was 19.1% [11.8-27.8%]), 27.4% [13.3-43.6%] for the ASC group, and 14.8% [7.2-24.8%] for the PON group (p=0.575). The FFS at 12 months was 24.0% [15.8-33.2%] overall, 33.9% [18.4-50.2%] for the ASC group, and 19.7% [10.9-30.5%] for the PON group (p=0.68). The OS was 80.8% [71.0-87.6%] overall, 80.1% [60.8-90.6%] in the ASC group, and 81.6% [69.2-89.3%] in the PON group (p=0.33). For pts with CVD, a key subgroup of interest, EFS at 12 months was 42.8% [14.8-68.6%] for ASC and 21.4% [5.2-44.8%] for PON (p = 0.23). FFS at 12 months was 53.5% [23.3-65.5%] for ASC and 21.4% [5.2-44.7%] for PON (p = 0.16). Adjusted for CVD, failure cause to previous TKI (i.e. intolerance vs. resistance), and line of therapy (as 2nd vs. beyond), ASC was not inferior to PON with HR for EFS: 0.94 [0.53-1.6] (p=0.85), FFS: 0.91 [0.53-1.56] (p=0.75), and OS: 0.41 [0.16-1.09] (p=0.07). Conclusion. ASC and PON appear to offer at least equivalent outcomes in terms of MMR, EFS, FFS, and OS. ASC and PON had similar outcomes in pts with CVD. This is noteworthy given that ASC-treated pts were heavily pretreated, older, and had a higher prevalence of CVD compared to PON-treated pts; PON-treated pts had higher resistance rates and longer follow-up. Further studies with larger sample size and extended follow-up are needed to confirm these findings.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.277
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 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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Citations2
Published2024
Admission routes2
Has abstractyes

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