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KEYNOTE-C93/GOG-3064/ENGOT-en15: A phase 3, randomized, open-label study of first-line pembrolizumab versus platinum-doublet chemotherapy in mismatch repair deficient advanced or recurrent endometrial carcinoma.

2022· article· en· W4281666844 on OpenAlexaff
Brian M. Slomovitz, David Cibula, Tayup Şimşek, Mansoor Raza Mirza, Beata Maćkowiak-Matejczk, Emma Hudson, Ignacio Romero, Nicoletta Colombo, Jacob Korach, Rutie Yin, Lucy Gilbert, Kosei Hasegawa, Alexandra Tyulyandina, Sally Baron‐Hay, Lyndsay Willmott, Floor Backes, Robert Orlowski, Xuan Zhou, Vivek Khemka, Sandro Pignata

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsCarboplatinMedicineChemotherapyPembrolizumabInternal medicineEndometrial cancerOncologyDocetaxelPaclitaxelRandomizationTrastuzumabCancerSurgeryCisplatinRandomized controlled trialBreast cancerImmunotherapy

Abstract

fetched live from OpenAlex

TPS5623 Background: Carboplatin-paclitaxel chemotherapy (with trastuzumab for HER2+ uterine serous carcinoma) is the standard of care first-line systemic treatment for recurrent or metastatic endometrial carcinoma (EC), which has a 5-year relative survival rate of only 17%. Worse survival outcomes have been shown for the mismatch repair deficient (dMMR) subtype of EC. Pembrolizumab (pembro), an anti-PD-1 antibody, showed compelling antitumor activity in previously treated, advanced MSI-H/dMMR EC in the phase 2 KEYNOTE-158 study (ORR, 48%; median duration of response [DOR], not reached; O’Malley JCO 2022). KEYNOTE-C93/GOG-3064/ENGOT-en15 (NCT05173987) is a phase 3, randomized, open-label study evaluating first-line pembro versus carboplatin-paclitaxel chemotherapy in patients with dMMR advanced or recurrent EC. Methods: Patients aged ≥18 years with histologically confirmed stage III/IV recurrent EC including carcinosarcoma (mixed Mullerian tumor), radiographically evaluable disease (measurable or nonmeasurable per RECIST v1.1), no prior systemic therapy (prior radiation with or without radiosensitizing chemotherapy > 2 weeks before first dose or prior hormonal therapy ≥1 week before randomization is permitted), and an ECOG PS ≤1 are eligible. Patients must have central confirmation of dMMR status. Approximately 350 patients will be randomized 1:1 to receive pembro 400 mg IV Q6W for 18 cycles (̃2 years) or carboplatin AUC 5 or 6 mg/mL/min IV Q3W and paclitaxel 175 mg/m2 IV Q3W for 6 cycles (with option for > 6 cycles). Trastuzumab is permitted for patients in the chemotherapy arm with HER2+ serous EC. Randomization is stratified by disease status (newly diagnosed advanced EC vs recurrent EC) and histology (endometrioid vs nonendometrioid). Treatment will continue for the specified number of cycles or until PD or unacceptable toxicity. Patients in the chemotherapy arm have the option to receive pembro following confirmed PD by blinded independent central review (BICR). Tumor imaging will be performed Q9W from randomization to week 54 and Q12W thereafter. AEs will be assessed from randomization to 30 days (90 days for serious AEs) after treatment discontinuation and graded per NCI CTCAE version 5.0. Dual primary endpoints are PFS per RECIST v1.1 by BICR and OS. Secondary endpoints are ORR, disease control rate, and DOR per RECIST v1.1 by BICR; PFS per RECIST v1.1 by investigator review; PFS2 (ie, time from randomization to PD per investigator assessment or death from any cause after start of subsequent anticancer therapy); safety; and patient-reported outcomes. PFS and OS will be estimated by the Kaplan-Meier method, with treatment differences assessed by the stratified log-rank test and HRs with 95% CIs determined using a Cox proportional hazard model. Enrollment is ongoing. Clinical trial information: NCT05173987.

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)0.001
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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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.

Opus teacher head0.247
GPT teacher head0.510
Teacher spread0.263 · 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

Citations23
Published2022
Admission routes1
Has abstractyes

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