Pivotal results of SELECT-MDS-1 phase 3 study of tamibarotene with azacitidine in newly diagnosed higher-risk MDS
Bibliographic record
Abstract
ABSTRACT: Higher-risk myelodysplastic syndrome (HR-MDS) with RARA gene overexpression is a subset of patients (pts) with an actionable target for tamibarotene, an oral and a selective retinoic acid receptor-α (RAR-α) agonist. Tamibarotene with azacitidine (AZA) showed complete remission (CR) rates in myeloid leukemia. SELECT-MDS-1 was a phase 3 study comparing the activity of tamibarotene + AZA to placebo + AZA in these pts with newly diagnosed HR-MDS with RARA overexpression. Eligible pts had confirmed RARA overexpression, untreated MDS with higher-risk features by revised International Prognostic Scoring System (IPSS-R), and marrow blast count >5%. Pts were randomized 2:1 to receive tamibarotene + AZA or placebo + AZA, respectively. A total of 246 participants were randomized with 164 and 82 in the tamibarotene + AZA and placebo + AZA groups, respectively. Baseline characteristics included: 69.9% male; median age 75 years (range, 38-93); primary MDS, 89.8%; MDS-excess blasts-1, 48% and MDS-excess blasts-2, 52%; and IPSS-R risk category intermediate (25.5%), high (35.7%), and very high (38.9%). The study did not meet the primary end point of CR, with a P value of .2084 for the treatment effect in the tamibarotene + AZA group. The CR rates were 23.81% and 18.75% in the tamibarotene + AZA and placebo + AZA groups, respectively. The use of tamibarotene-based therapy to target RAR-α as a novel approach in pts with HR-MDS with RARA gene overexpression is not a paradigm, which can augment response rates beyond AZA monotherapy. Further explorations of alternative approaches, including those with a biomarker, to alter the natural history of this disease are warranted. This trial was registered at www.clinicaltrials.gov as #NCT04797780.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".