MLN9708, an investigational proteasome inhibitor, in patients (pts) with solid tumors: Updated phase I results.
Bibliographic record
Abstract
e13603 Background: MLN9708 is a potent, reversible, orally bioavailable, and specific 20S proteasome inhibitor. This study (NCT00830869) assessed the safety, MTD, PK, PD, and antitumor activity of intravenous (IV) MLN9708 in pts with solid tumors. Methods: Pts aged ≥18 yrs (ECOG PS 0–2) received increasing doses of IV MLN9708 (starting at 0.125 mg/m2) on days 1, 4, 8, and 11 of 21-day cycles, for up to 12 cycles. MTD expansion cohorts included head and neck (H&N) cancer, non-small cell lung cancer, soft tissue sarcoma, prostate cancer, and a tumor PD expansion cohort. Plasma PK and blood PD data were analyzed by a non-compartmental method using WinNonlin software v5.3. The candidate PD biomarker ATF-3 was assessed using IHC. Results: 113 pts were enrolled; 23 in dose escalation and 96 in MTD expansion (includes 6 from dose escalation) cohorts. Median age of these heavily pretreated pts was 58 yrs (range 29–80). MTD was established as 1.76 mg/m2. Pts have received a median of 2 cycles (range 1–12) to date (data cut-off Dec 1, 2011); 22 received ≥4 cycles. 88% had ≥1 drug-related AE; most common drug-related AEs included fatigue (40%), thrombocytopenia (39%), rash (high level term) (33%), and nausea (32%). 52% of pts experienced grade ≥3 drug-related AEs, including thrombocytopenia (20%) and rash (9%). Drug-related peripheral neuropathy (PN) was seen in 13% of pts; 2 pts had grade 3 PN. 25% had drug-related SAEs, 15% discontinued due to AEs; 7 pts died, all unrelated to treatment. Of 75 response-evaluable pts, 26 achieved SD. A partial response (PR) was observed in a pt in the H&N cohort; response was achieved after 4 cycles and maintained through 8 cycles. Change in ATF-3 levels in tumor tissue post treatment was seen in 6 patients with tumor biopsy samples, indicating proteasome inhibition. PK data showed three-exponential plasma disposition, half-life of ~4–8 days, and dose linearity from 0.5–2.34 mg/m2. At MTD, maximal 20S proteasome inhibition in blood was approximately 60% at 0.08 hours. Whole blood PD effect was immediate and dose dependent. Conclusions: These data suggest that twice-weekly IV MLN9708 has a generally manageable safety profile and potential clinical utility; updated results will be presented.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".