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Randomized phase III trial in MMR deficient (MMRd) endometrial cancer (EC) patients comparing chemotherapy (CT) alone versus dostarlimab in first line advanced/metastatic setting: DOMENICA study (GINECO-EN105b/ENGOT-en13 study).

2023· article· en· W4379336150 on OpenAlexaff
Florence Joly, Isabelle Laure Ray-Coquard, María Jesús Rubio, Xavier Paolettí, Alison Davis, Emma Hudson, Domenica Lorusso, Germana Tognon, Ursula Hasler-Strub, Chel Hun Choi, Mehmet Ali Vardar, Stéphanie Lheureux, Toon Van Gorp, David S.P. Tan, Fabian Trillsch, Lauriane Eberst, Céline Lescure, Anne‐Claire Hardy‐Bessard, Marie Chaix

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineCarboplatinEndometrial cancerClinical endpointInternal medicineOncologyRandomized controlled trialChemotherapyRadiation therapyCancerPaclitaxelSurgeryCisplatin

Abstract

fetched live from OpenAlex

TPS5630 Background: The standard treatment for advanced EC is still platinum-based combination CT, regardless of the histology, molecular status and the patient’s profile. However, EC patients are a particularly frail group of patients, often with co-morbidities. Tolerance of CT can be difficult and induce long-term toxicities. In advanced EC disease, MMRd/MSI-H tumors represent 15 to 20 % of cases. Preclinical data suggest that these tumors are more resistant to platinum. On the other hand, anti-PD1 immunotherapy has shown impressive results among MMRd/MSI-H EC patients after platinum-based CT. The aim of this study is to de-escalade the first line advanced/metastatic treatment of patients with MMRd/MSI-H endometrial cancer with the objective to avoid carboplatin-paclitaxel related toxicities by substituting CT with the PD1 inhibitor dostarlimab. Methods: DOMENICA is an ongoing international randomized, open-label, phase III trial. 142 patients with MMRd/MSI-H EC Stage III or Stage IV or first recurrent disease without curative treatment (surgery, radiation therapy, +/- adjuvant CT) will be randomized (1:1) to receive either 4 cycles of dostarlimab 500mg every 3 weeks followed by dostarlimab 1000mg every 6 weeks as maintenance up to 2 years or 6 cycles of carboplatin-paclitaxel. A cross over is allowed from the CT arm to the dostarlimab arm at first progression. The maximum treatment duration with dostarlimab will be 24 months. Stratification factors are prior adjuvant CT, prior pelvic radiotherapy. The primary endpoint is the progression-free survival (PFS). Secondary endpoints include overall survival (OS), PFS2, quality of life, best objective response rate, disease control rate, duration of response rate, safety, tolerability, time to first and second subsequent therapy, efficacy of second systemic therapies, pharmacokinetics description and immunogenicity determination. The study is designed to expect a 17.8-months PFS in dostarlimab arm and a 10-months PFS in the CT arm, translating to a hazard ratio of 0.58. A protocol amendment is submitted to increase patient population (with extended eligibility criteria, PFS hypothesis). Status: The DOMENICA/GINECO-EN105b/ENGOT-en13 trial is currently recruiting, the first patient was randomized in April 2022. Clinical trial information: NCT05201547 .

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.170
GPT teacher head0.500
Teacher spread0.330 · 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 designRandomized 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

Citations20
Published2023
Admission routes1
Has abstractyes

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