Results of a phase I/II prospective dose-escalation trial evaluating safety and efficacy of combination 177LuPSMA-617 and NOX66 in men with mCRPC post androgen signalling inhibition and two lines of taxane chemotherapy (LuPIN trial).
Bibliographic record
Abstract
120 Background: Despite treatment advances, metastatic castrate resistant prostate cancer (mCRPC) remains a lethal disease. Trials in 177LuPSMA-617 have demonstrated good efficacy and safety, but synergistic combinations may further improve treatment responses. NOX66 inhibits external NADH oxidase type 2 with downstream pro-apoptotic actions including radio-sensitization. We present results of a prospective open label single arm phase 1/2 dose escalation/expansion trial of 177LuPSMA-617 and NOX66 in mCRPC. Methods: Men with progressive mCRPC post androgen signalling inhibition (ASI) and taxane chemotherapy were eligible. Inclusion criteria included PSMA PET/CT intensity > SUV max 15, with no discordant disease on FDG PET/CT, Hb > 100 g/L, Platelets > 90 x 106/L and GFR > 40 mL/min. Protocol allowed up to 6 doses of 177 Lu-PSMA 617 (7.5Gbq) on day 1 with NOX66 (suppository) given day 1-10 at 6-weekly intervals; the first 8 men received 400mg NOX66. After safety review, dose was escalated to 800mg. Data regarding safety, efficacy, pain scores, and QOL were collected. Results: 32/43 (26% imaging screen failures) screened men were enrolled (November 2017 – June 2019), of whom 100% had prior docetaxel and ASI, and 94% (30/32) cabazitaxel. All men received ≥ 2 cycles, with 12/32 completing 6 cycles, and 16/32 2 - 5 cycles, while 4/32 remain on treatment. Any PSA response was seen in 84% (27/32), with a PSA response > 50% in 62.5% (20/32). Median PSA PFS was 6.5 months (95%CI 3.54-9.3). To date, 72% (23/32) of patients have progressed. 34% (11/32) men have died with median OS not reached. 50% (12/24) of men with baseline pain scores ≥3 (24/32) had significant reduction in pain. Adverse events are summarized below. Conclusions: Combination 177LuPSMA-617 with NOX66 appears safe and efficacious in men with heavily pre-treated mCRPC. Clinical trial information: ACTRN12618001073291. [Table: see text]
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 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 | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".