TroFuse-020/GOG-3101/ENGOT-cx20: A phase 3, randomized, active-controlled, open-label, multicenter study comparing sacituzumab tirumotecan monotherapy vs treatment of physician’s choice as second-line treatment for recurrent or metastatic cervical cancer.
Bibliographic record
Abstract
TPS5618 Background: Sacituzumab tirumotecan (sac-TMT; formerly MK-2870/SKB264) is an antibody‒drug conjugate comprising a trophoblast cell-surface antigen 2 (TROP2)–antibody, a hydrolytically-cleavable linker, and the cytotoxic drug KL610023 (average drug/antibody ratio, 7.4). In an ongoing phase 1/2 study (MK-2870-001), sac-TMT monotherapy showed promising antitumor activity in participants with locally advanced unresectable/metastatic solid tumors that were refractory to standard therapies. This phase 3, randomized, open-label, multicenter study (NCT06459180) evaluates the efficacy and safety of sac-TMT monotherapy vs treatment of physician’s choice (TPC) as second-line treatment in participants with recurrent/metastatic cervical cancer. Methods: Eligible participants are aged ≥18 years with progressive recurrent/metastatic cervical cancer, measurable per RECIST version 1.1 by the investigator, and had received 1 prior line of platinum doublet chemotherapy (±bevacizumab) and anti‒PD-1/anti‒PD-L1 therapy as a part of cervical cancer regimens. Participants must provide tissue from a core or excisional biopsy of a not previously irradiated tumor lesion. Approximately 666 participants will be randomly assigned 1:1 to receive either sac-TMT 4 mg/kg intravenously (IV) Q2W or TPC (pemetrexed 500 mg/m 2 IV Q3W; tisotumab vedotin 2 mg/kg IV Q3W; topotecan 1 or 1.25 mg/m 2 on days 1–5 of each 3-week treatment cycle; vinorelbine 30 mg/m 2 on days 1 and 8 of each 3-week treatment cycle; gemcitabine 1000 mg/m 2 on days 1 and 8 of each 3-week treatment cycle; or irinotecan 100 or 125 mg/m 2 on days 1, 8, 15, and 22 of each 6-week treatment cycle). Tumor imaging will be performed ≤28 days before treatment allocation/randomisation, then Q9W until week 54 and Q12W thereafter. The primary endpoint is OS; secondary endpoints include PFS assessed by blinded independent central review, objective response, duration of response, safety, time to deterioration, and patient-reported outcomes. Enrollment began in Q3 2024. Clinical trial information: NCT06459180 .
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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 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".