Phase III study of NUC-1031 + cisplatin vs gemcitabine + cisplatin for first-line treatment of patients with advanced biliary tract cancer (NuTide:121).
Bibliographic record
Abstract
TPS351 Background: Biliary tract cancer (BTC) carries a poor prognosis and no first-line treatments are approved. The accepted global standard of care is gemcitabine + cisplatin (GemCis). NUC-1031 is a phosphoramidate transformation of gemcitabine designed to overcome key cancer resistance mechanisms that are associated with gemcitabine. Promising efficacy has been observed with single-agent NUC-1031 in a phase I study in advanced solid tumors and in the phase Ib ABC-08 study of NUC-1031 + cisplatin for first-line treatment of advanced BTC. Of 14 patients enrolled in 2 cohorts (NUC-1031 625 mg/m2 or 725 mg/m2 + cisplatin 25 mg/m2 on Days 1 and 8 of 21-day cycle), 1 had a CR and 6 had PRs, resulting in an unconfirmed ORR of 50%. This represents an approximate doubling of ORR over SoC. The combination was well-tolerated with no unexpected AEs or DLTs. The RP2D of NUC-1031 with cisplatin was 725 mg/m2. The tolerability profile, together with encouraging efficacy, suggested NUC-1031 + cisplatin may represent a more effective therapy than GemCis for BTC and led to initiation of a global registrational study. Methods: NuTide:121 is a Phase III, open-label, randomized study of NUC-1031 + cisplatin vs GemCis for first-line treatment of advanced BTC. Patients ≥18 years with histologically- or cytologically-confirmed BTC (including cholangiocarcinoma, gallbladder, or ampullary cancer), who have had no prior systemic chemotherapy for locally advanced/metastatic disease, are eligible. A total of 828 patients are being randomized (1:1) to either 725 mg/m2 NUC-1031 or 1000 mg/m2 gemcitabine, both with 25 mg/m2 cisplatin, administered on days 1 and 8 of 21-day cycles. Primary objectives are OS and ORR. Secondary objectives include PFS, safety, PK and patient-reported quality of life. In addition to the final analysis, three interim analyses, including two designed to support accelerated approval, are planned. The study has passed an initial safety analysis, with no protocol changes required. NuTide:121 is being conducted at approximately 130 sites across North America, Europe and Asia Pacific countries. Clinical trial information: NCT04163900.
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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) | 0.002 | 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 | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".