Phase Ib/II Study of Pamiparib Plus Radiation Therapy and/or Temozolomide in Adult Patients with Treatment-Naïve or Recurrent/Refractory Glioblastoma
Bibliographic record
Abstract
Pamiparib, a small-molecule poly (ADP-ribose) polymerase (PARP) 1/2 inhibitor, demonstrates strong PARP-DNA complex trapping, antitumor activity, and blood–brain barrier penetration. This phase Ib/II dose-escalation study (NCT03150862) investigated pamiparib’s tolerability/safety and efficacy when combined with radiotherapy and/or low-dose temozolomide (TMZ) in patients with treatment-naïve (Arms A and B) and recurrent/refractory (Arm C) glioblastoma. The recommended phase II dose for Arm A was pamiparib 60 mg twice daily (BID) for 6 weeks with 6–7 weeks radiotherapy; the recommended dose for Arm C was pamiparib 60 mg BID plus 60 mg TMZ (days 1–7; 28-day cycle). The Arm B escalation cohort completed enrollment; the expansion cohort was not opened. Grade ≥3 treatment-emergent adverse events (TEAEs)/serious TEAEs were observed in 55.0%/36.7% (Arm A), 44.4%/22.2% (Arm B), and 66.0%/38.3% (Arm C) of patients. Disease control and objective response rates were 67.9% and 11.3%, respectively, for treatment-naïve patients in the dose-escalation and -expansion studies, and 40.9% and 13.6%, respectively, for recurrent/refractory patients. Median overall survival for treatment-naïve MGMT unmethylated patients was 12.8 months and 7.3 months for recurrent/refractory MGMT methylated and unmethylated patients. Pamiparib with radiotherapy and/or low-dose TMZ was tolerable for treatment-naïve or recurrent/refractory glioblastoma. Treatment-emergent cytopenia was manageable and reversible with dose reductions/interruptions. Combination regimens demonstrated antitumor activity.
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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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".