PF291 A PHASE 1B/2 CLINICAL STUDY OF TARGETED IDH1 INHIBITION WITH IVOSIDENIB, IN COMBINATION WITH THE BCL‐2 INHIBITOR VENETOCLAX, FOR PATIENTS WITH IDH1‐MUTATED (MIDH1) MYELOID MALIGNANCIES
Bibliographic record
Abstract
Background: IDH1 mutations (mIDH1) occur in 5–12% of patients with high‐risk MDS and AML. IDH mutations sensitize AML cells to BCL2 inhibition, and pre‐clinical evidence demonstrates the synergistic activity of targeted mIDH‐inhibition with BCL2 inhibition in mIDH PDX models. Ivosidenib (IVO) is an oral potent targeted inhibitor approved for relapsed/refractory mIDH1 AML. Venetoclax (VEN) is an oral targeted BCL2 inhibitor approved in combination for patients with newly diagnosed AML, ineligible for intensive chemotherapy. Aims: We report the first clinical results from an ongoing open label Phase 1b/2 study evaluating the safety, tolerability, pharmacokinetic profiles, and efficacy of IVO and VEN in combination for patients with mIDH1 myeloid malignancy (NCT03471260). Methods: Eligible patients include adults ≥ 18 years with IDH1‐R132 mutated high‐risk MDS or AML. Prior therapy with ivosidenib or venetoclax was exclusionary; receipt of other targeted mutant IDH1 inhibitors was allowed. Patients receive VEN on days 1–14 of each treatment cycle. IVO is given continuously daily starting on cycle 1 day 15. Each cycle is 28 days. Patients in the Phase 1b study portion are enrolled of cohorts of 6; we report results from patients treated on dose level 0 (VEN 400 mg and IVO 500 mg) and level +1 (VEN 800 mg and IVO 500 mg). Results: As of Feb 26 2019, 11 IDH1‐mutated patients have been enrolled on study; 10 AML and 1 MDS patient with excess blasts refractory to hypomethylating agent therapy. The study opened to enrollment in March 2018; median follow‐up time is 6 months. Median patient age is 65 yrs (range 37–83 yrs), and 6 patients are male. Patients had received a median of 2 prior therapies (range 0–5); two patients were treatment naïve. Additional clinicopathologic details are provided in Table 1. Grade ≥ 3 adverse events (AEs) occurring on study regardless of attribution included lung infection (n = 7), febrile neutropenia (n = 3), other infection (n = 2), differentiation syndrome (n = 1), stroke (n = 1), TLS (n = 1), leukocytosis (n = 1) and acute kidney injury (n = 1). The only Grade 1–2 AE occurring in ≥ 2 patients was diarrhea (n = 3). Grade 2 QTc prolongation occurred in one patient. One patient was enrolled in Feb 2019 and remains too early for response assessment, and one refractory AML patient received ten VEN doses prior to death from complications of infection, and was inevaluable for efficacy of the combination. Of 9 evaluable patients, responses include CR in 44% (n = 4), CRi in 33% (n = 3), and no response/progressive disease in 22% (n = 2). One responding CRi patient progressed with extramedullary disease, and discontinued study treatment for cytarabine‐based therapy. All other responders (n = 6) remain on study with a median of six cycles received to date (range 1–9, all ongoing). Of the seven patients achieving CR/CRi, 3 patients, all in CR, obtained negative measurable residual disease (MRD) by multiparameter flow cytometry (0.01% sensitivity). Analysis for IDH mutational clearance at remission, as well as BCL2 family expression and BH3 profiling for all patients is ongoing. Summary/Conclusion: IVO + VEN is a well‐tolerated regimen with a safety profile consistent with single‐agent IVO and VEN. The preliminary response rate of this combination appears favorable with a CR rate of 44% and CR/CRi rate of 78% in evaluable patients, with 43% of responding patients attaining MRD negativity by flow cytometry. This study continues to enroll and a future cohort will evaluate the “triplet” of IVO + VEN with azacitidine. image
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".