TROPiCS-04: Study of sacituzumab govitecan in metastatic or locally advanced unresectable urothelial cancer that has progressed after platinum and checkpoint inhibitor therapy.
Bibliographic record
Abstract
TPS498 Background: Treatment options are limited for patients with locally advanced unresectable or metastatic urothelial carcinoma (mUC) who progress following prior platinum-based and checkpoint inhibitor (CPI) therapy. Sacituzumab govitecan (SG) is an antibody-drug conjugate consisting of an anti–Trop-2 monoclonal antibody coupled to SN-38 (an active metabolite of irinotecan, a topoisomerase-I inhibitor) via a unique hydrolyzable linker. A phase II registrational study, TROPHY-U-01 study, confirmed the initial positive efficacy signal in mUC. SG demonstrated an objective response rate (ORR) of 27% and median overall survival (OS) of 10.5 months in patients with mUC (median 3 prior lines of therapy and 87% with ≥1 Bellmunt risk factors) who progressed after prior platinum-based and CPI therapies (n=113; Loriot ESMO 2020). The results compared favorably with historic single-agent chemotherapy (ORR ~10%; OS ≤7 months). A phase III trial has been initiated to confirm these findings. Methods: TROPiCS-04 (NCT04527991) is a global, multicenter, open-label, randomized, controlled trial in patients with locally advanced unresectable or mUC who progressed after prior platinum-based and CPI therapies (with Eastern Cooperative Oncology Group performance status 0–1 and adequate hematologic, hepatic, and renal function). Patients will be randomized 1:1 to receive SG 10 mg/kg intravenously (IV) on day 1 and 8 of 21-day cycles or single-agent treatment of physician’s choice (paclitaxel 175 mg/m2, docetaxel 75 mg/m2, or vinflunine 320 mg/m2 IV on day 1 of 21-day cycles) until progressive disease, unacceptable toxicity, or withdrawal of consent. Treatment beyond progressive disease may be permitted in patients deemed to be receiving clinical benefit per investigator assessment. Approximately 482 patients will be enrolled to provide 90% power on the primary endpoint of OS. Secondary endpoints include progression-free survival, ORR, clinical benefit rate, duration of response (all per Response Evaluation Criteria in Solid Tumors v1.1), safety, and quality of life. Study initiation is ongoing and enrollment begins in Q4 2020 across ~90 sites. Clinical trial information: NCT04527991.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".