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Record W4405045962 · doi:10.1182/blood-2024-197898

Outcomes of Patients with <i>IDH1/2</i> Mutated Accelerated/Blast-Phase Myeloproliferative Neoplasms in the Era of IDH Inhibitors

2024· article· en· W4405045962 on OpenAlexaff
Leah Goldberg, James Yoon, Hannah Johnston, Marta Davidson, Alexa J. Siddon, Rory M. Shallis, Evan C. Chen, Madelyn Burkart, Timothy S. Oh, Sunil Iyer, Ellen Madarang, Chandrasekar Muthiah, Joshua Kassner, Raajit K. Rampal, Guru Subramanian Guru Murthy, Terrence Bradley, Yasmin Abaza, Jacqueline S. Garcia, Vikas Gupta, Kristen Pettit, Olatoyosi Odenike, John Cursio, Anand Patel

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsHematologic NeoplasmsMedicineIDH1Cancer researchInternal medicineOncologyMutationGeneticsBiologyGeneCancer

Abstract

fetched live from OpenAlex

Introduction: Myeloproliferative neoplasms (MPN) carry a variable risk of progression to accelerated phase (AP) or blast phase (BP), which is associated with poor overall survival (OS). Isocitrate dehydrogenase (IDH) mutations are associated with the progression of MPNs to AP/BP and are characterized as high-risk mutations. The IDH1 inhibitors ivosidenib and olutasidenib and the IDH2 inhibitor enasidenib are approved for use in acute myeloid leukemia (AML) and reports have demonstrated the efficacy of IDH inhibition in IDH1/2-mutated MPN AP/BP (Patel et al, BJH 2020; Chifotides et al, Blood Adv 2020, Gangat et al, BJH 2023). Our group previously reported on a cohort of 202 patients (pts) diagnosed with MPN AP/BP with modern myeloid therapies and found a median OS (mOS) of 0.86 years (Patel et al, Blood Adv 2024); here we describe the treatment patterns and survival of pts with IDH1/2-mutated MPN AP/BP. Methods: In this multicenter, retrospective study, adult pts with IDH1/2-mutated MPN AP/BP diagnosed after 1/1/2017 were included. Patient demographic, disease characteristics, treatment, and survival data were collected. Response was characterized by European LeukemiaNet (ELN) 2017 criteria and 2012 MPN-BP criteria. OS was evaluated with Kaplan-Meier analysis. Results: Thirty-five pts with IDH1/2-mutated MPN AP/BP were identified (9 with AP, 26 with BP). Median age was 69.5 years old and 54% were male. Thirty pts had race and ethnicity data, of which 90% identified as White and 4% identified as Hispanic. MPN AP/BP arose from polycythemia vera in 20% of pts, essential thrombocythemia in 26%, primary myelofibrosis in 26%, MPN not otherwise specified in 23% and other in 5%. Regarding incidence of driver mutations, JAK2 was noted in 74% of pts, MPL in 9%, CALR in 9% and 11% were triple-negative. Ten pts (29%) underwent allogeneic stem cell transplant for MPN AP/BP. All pts underwent next generation sequencing (NGS) at diagnosis of MPN AP/BP; 11 (31%) had an IDH1 mutation and 24 (69%) had an IDH2 mutation. Non-driver co-mutations with frequency >10% included SRSF2 (43%), ASXL1 (37%), DNMT3A (17%), TP53 (17%), TET2 (14%), and EZH2 (11%). Thirty pts had at least 1 adverse risk mutation by ELN 2022 criteria. We then analyzed responses based on frontline (1L) treatment approach along with survival for the entire cohort and stratified by 1L treatment. By ELN 2017 criteria a response was characterized as achievement of complete remission (CR), CR with incomplete count recovery (CRi), or partial remission (PR). Ten pts received intensive chemotherapy (IC) with an overall response rate (ORR) of 40% (3 CR, 1 CRi). For hypomethylating agent (HMA) + venetoclax (VEN)-based therapy (HMA+VEN) (n=9) ORR was 67% (2 CR, 4 CRi), for HMA-based therapy (HMA monotherapy or HMA+JAKi) (n=8) ORR was 50% (3 CRi, 1 PR), and for IDH inhibitor (IDHi)-based (HMA+IDHi or IDHi), (n=6) the ORR was 33% (1 CRi, 1 PR). Response by 2012 MPN-BP criteria in pts with available data was also reported. Response was characterized by achievement of complete molecular response (CMR), complete cytogenetic response (CCR), acute leukemia response (ALR)-complete (ALR-C), or ALR-partial (ALR-P). ORR were 57% (1 CCR, 3 ALR-C) with IC (n=7), 57% (3 ALR-C, 1 ALR-P) with HMA + VEN (n=7), 50%(2 ALR-C, 2 ALR-P) with HMA-based (n=8) and 67% (1 ALR-C, 3 ALR-P) with IDHi-based (n=6). Median OS (mOS) for the entire cohort was 2.2 years; of note the mOS for pts (n=30) with 1+ ELN22 adverse-risk co-mutations was 2.6 years. Median OS by frontline therapy was 1.5 years for IC, 1.1 years for HMA + VEN, 2.2 years for HMA-based, and 2 years for IDHi-based with no statistically significant difference (p=0.9976). We also analyzed outcomes of IDHi-based therapy in the relapsed/refractory (R/R) setting. Eight pts received IDHi-based therapy (1 IDH1 and 7 IDH2) with an ORR of 25% by ELN2017 (2 CRi). When using 2012 MPN-BP criteria, ORR was 50% (2 ALR-C, 2 ALR-P). Median OS from time of IDHi initiation in the R/R setting was 1.1 years. Conclusions: In our cohort of pts with IDH1/2-mutated MPN-AP/BP, mOS was 2.2 years and was not impacted by the presence of adverse-risk ELN22 mutations. There was no significant difference in mOS based on frontline treatment, although mOS was numerically longest in the HMA-based and IDH inhibitor based groups. IDH inhibitors also retained efficacy in the R/R setting with an ALR-C/ALR-P rate of 50% and mOS of 1.1 years.

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)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.013
GPT teacher head0.278
Teacher spread0.266 · 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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Citations1
Published2024
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