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Record W4411642994 · doi:10.1016/j.esmoop.2025.105252

126TiP REJOICE-Ovarian02: A phase Ib/II study of raludotatug deruxtecan (R-DXd) with other anticancer agents in participants (pts) with relapsed ovarian cancer (OC) after platinum-based chemotherapy

2025· article· en· W4411642994 on OpenAlexaff
A. Oaknin, Jason A. Call, R. Shapira-Frommer, O.S. Rosengarten, Ruth Perets, Antonio González‐Martín, Marta Gil-Martín, L. Gilbert, Rebecca Redman, Paul Johannet, R. Kristeleit, Robert F. Miller, S. Banerjee, S. Lheureux, Tarrik M. Zaid, Qi Zhao, Sandra Re, Carmen González Arenas, Dominic Richardson

Bibliographic record

VenueESMO Open · 2025
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsPrincess Margaret Cancer CentreMcGill University Health Centre
Fundersnot available
KeywordsOvarian cancerChemotherapyMedicineInternal medicineOncologyPlatinumCancerChemistry

Abstract

fetched live from OpenAlex

Most patients with OC have disease recurrence after treatment with the current standard of care, highlighting the need for new therapies. R-DXd is an antibody-drug conjugate targeting cadherin-6 (CDH6), which is overexpressed in several tumor types, including OC. R-DXd consists of a humanized anti-CDH6 antibody, an enzymatically cleavable peptide linker, and a cytotoxic topoisomerase I inhibitor (target drug-to-antibody ratio, 8). In a first-in-human study (NCT04707248), R-DXd monotherapy showed promising antitumor activity and manageable safety in pts with recurrent OC.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.051
GPT teacher head0.385
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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