A phase I study of vorinostat (VOR) in combination with capecitabine (CAP) in patients (pts) with advanced solid tumors
Bibliographic record
Abstract
3576 Background: VOR (suberoylanilide hydroxamic acid; SAHA) is a small molecule inhibitor of histone deacetylase (HDAC) that binds directly to the enzyme’s active site in the presence of a zinc ion. Aberrant HDAC activity has been implicated in a variety of cancers. The combination of 5-fluorouracil and VOR is synergistic in preclinical tumor models. Methods: This phase I study evaluated safety, tolerability, and the recommended phase II dose (RPTD) of VOR and CAP in pts with advanced solid tumors. VOR was administered orally daily while CAP was administered orally bid on days 1–14 of a 21 d cycle. Results: Three dose levels have been evaluated (VOR (mg/d)/CAP (mg/bid)): 300/750, 300/1,000 and 400/1,000. Twenty-three pts have been treated: 6M/17F, median age 59 (range 41–73), ECOG 0:1:2 = 9:13:1, prior therapy 1:2:3 or more = 3:7:13. Pts had colorectal cancer (n=6), nasopharyngeal (n=3) and various other tumors. A total of 104 cycles have been administered, with median = 2 (range 1–15). One dose limiting toxicity (DLT) (grade 3 diarrhea) occurred in 6 patients at dose level 1. No DLT were observed at dose level 2, and 2 DLTs (grade 3 fatigue and grade 3 nausea/vomiting) occurred at dose level 3. RPTD was determined to be VOR 300 mg/d and CAP 1,000 mg/bid. Most common toxicities of any grade and at least possibly attributable (n=22) are: thrombocytopenia (59% of pts), fatigue (55%), nausea (55%), vomiting (50%), hypoalbuminemia (45%), anemia (41%), diarrhea (41%), anorexia (41%), elevated creatinine (36%), lymphopenia (36%), hyponatremia (36%), and hyperglycemia (36%). Common grade 3 toxicities included: hand-foot syndrome (23% of pts), diarrhea (14%), fatigue (14%), and lymphopenia (14%). One pt died on study from ventricular fibrillation due to sotalol and hypocalcemia from pre-existing hypoparathyroidism. Five patients with various tumor types had PR (2 confirmed, 3 unconfirmed) (2 nasopharyngeal, 1 each of ovarian, endometrial and squamous cell carcinoma of head and neck). In addition, disease stabilization was seen in 12 patients. Conclusions: VOR and CAP are well tolerated, and this combination is active in several tumor types. Further evaluations of VOR and CAP are warranted. No significant financial relationships to disclose.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".