A randomized phase I clinical and biologic study of two schedules of sorafenib in patients with myelodysplastic syndrome or acute myeloid leukemia: a NCIC (National Cancer Institute of Canada) Clinical Trials Group Study
Bibliographic record
Abstract
Sorafenib is a small molecule inhibitor of RAF kinase, VEGFR-2, c-KIT, and FLT3. In this randomized phase I study, eligible patients had relapsed/refractory acute myeloid leukemia (AML), and one prior induction regimen, or were age >65 with untreated myelodysplastic syndrome (MDS) or secondary AML. Sorafenib was given orally for 28 days (cont) or 14 days (int) every 4 weeks at three dose levels (100, 200, and 400 mg BID); 300 mg cont was also tested. Forty-two patients were enrolled (median age 71 [37-82]; prior chemotherapy: 22). Dose-limiting toxicity (DLT) was: 100 mg BID: 0/7 patients; 200 mg BID: 2/12 patients; 400 mg BID: 1/17 patients. Sorafenib 400 mg cont was not tolerated in this population: 6/8 received <14 days of treatment due to toxicity; no DLT was seen with 300 mg cont. One CR was seen in a patient with AML with FLT3-ITD. Flow cytometry studies suggest that sorafenib inhibits ERK phosphorylation via c-KIT. The recommended phase II dose in AML is 300 mg BID continuously, and testing in combination and in FLT3-ITD AML is warranted.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".