A phase II study of dasatanib (BMS 354825) in recurrent or metastatic <i>ckit</i>-expressing adenoid cystic (ACC) and non-ACC malignant salivary glands tumors (MSGT).
Bibliographic record
Abstract
6022 Background: ACC is a rare disease, accounting for 1/3rd of MSGT, in which 90% of cases express the protein product of the ckit proto-oncogene. Dasatinib is a potent and selective inhibitor of five oncogenic PTKs/kinase families including ckit. We conducted a phase II study to determine the antitumor activity of dasatinib in ACC and non-ACC MSGT. Methods: In a two-stage design, adult patients (pts) with recent radiographic progressive, recurrent or metastatic ACC, + cKIT, were treated with dasatinib 70 mg PO BID. Pts with non-ACC MSGT of other histologic types, were treated as a separate cohort. Response was assessed every 8 wks by imaging using RECIST criteria. The study design stipulated enrollment of n=40 ACC patients (20 in stage I and 20 in stage II) and 25 non-ACC patients (14 in stage I and 11 in stage II). Results: Fifty-four pts were enrolled, 40 ACC and 14 non-ACC. One additional pt was a screen failure. Baseline data on 54 pts are: M:F = 28:26, median age 56.6 yrs (range 20-82), PS 0:1:2 = 24:28:2, prior radiation:chemotherapy = 44:21. The most frequent adverse events experienced (as % of pts, worst grade 2 or higher and at least possibly related to study drug) were: fatigue (28%), nausea (19%), headache (15%), lymphopenia (11%), dyspnea (11%), alanine aminotransferase increased (7%), anorexia (7%), vomiting (7%), alkaline phosphatase increased (6%), diarrhea (6%), and non-cardiac chest pain (6%). No grade 4 adverse events occurred and only 15 pts experienced a grade 3 adverse event (at least possibly attributed to study drug), primarily dyspnea (4 patients) and fatigue (3 patients). Significant cardiac toxicity was observed in one pt (grade 3 prolonged QT corrected interval). Among ACC pts, best response to dasatinib: 0 pts (0%) had PR, 21 pts (52%) had SD (range 2.8-13.8 months), 12 pts (30%) had PD, and 2 died prior to cycle 2. Median PFS was 4.8 mos. For 14 evaluable non-ACC pts, none had an objective response, triggering early stopping. 7 had SD (range 1.4-6.6 months), and 4 PD. Conclusions: Although there were no objective responses, dasatinib is well tolerated, with tumor stabilization achieved by 52% of ACC pts. Dasatinib demonstrated no activity in non-ACC MSGT. Clinical trial information: NCT00859937.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".