A phase 1 dose‐escalation study of the poly(ADP‐ribose) polymerase inhibitor senaparib in Australian patients with advanced solid tumors
Bibliographic record
Abstract
BACKGROUND: Senaparib is a novel, selective poly(ADP-ribose) polymerase-1/2 inhibitor with strong antitumor activity in preclinical studies. This first-in-human, phase 1, dose-escalation study examined the safety and preliminary efficacy of senaparib in patients with advanced solid tumors. METHODS: Patients with advanced solid tumors were enrolled from three centers in Australia, using a conventional 3 + 3 design. Dose-escalation cohorts continued until the maximum tolerated dose or a recommended phase 2 dose was determined. Patients received one dose of oral senaparib and, if no dose-limiting toxicity occurred within 7 days, they received senaparib once daily in 3-week cycles. The primary end points were safety and tolerability. RESULTS: Thirty-nine patients were enrolled at 10 dose levels ranging from 2 to 150 mg. No dose-limiting toxicities were observed in any cohort. Most treatment-emergent adverse events were grade 1-2 (91%). Seven patients (17.9%) reported hematologic treatment-emergent adverse events. Treatment-related adverse events occurred in eight patients (20.5%), and the most frequent was nausea (7.7%). Two deaths were reported after the end of study treatment, one of which was considered a complication from senaparib-related bone marrow failure. Pharmacokinetic analysis indicated that senaparib the accumulation index was 1.06-1.67, and absorption saturation was 80-150 mg daily. In 22 patients with evaluable disease, the overall response rate was 13.6%, and the disease control rate was 81.8%. The overall response rate was 33.3% for the BRCA mutation-positive subgroup and 6.3% for the nonmutated subgroup. CONCLUSIONS: Senaparib was well tolerated in Australian patients with advanced solid tumors, with encouraging signals of antitumor activity. The recommended phase 2 dose for senaparib was determined to be 100 mg daily. GOV ID: NCT03507543.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".