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ENGOT-EN20/GOG-3083/xport-EC-042: A phase 3, randomized, placebo-controlled, double-blind, multicenter trial of selinexor in maintenance therapy after systemic therapy for patients with P53 wild-type, advanced or recurrent endometrial carcinoma.

2023· article· en· W4379283210 on OpenAlexaboutno aff
Ignace Vergote, Mansoor Raza Mirza, Robert L. Coleman, José Alejandro Pérez Fidalgo, Bradley J. Monk, Giorgio Valabrega, Brian M. Slomovitz, Toon Van Gorp, Kathleen N. Moore, Jalid Sehouli, David Cibula, Tally Levy, Gerasimos Aravantinos, Kai Li, Pratheek Kalyanapu, Vicky Makker

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
FundersKaryopharm Therapeutics
KeywordsMedicineClinical endpointInternal medicinePlaceboOncologyPhases of clinical researchChemotherapyResponse Evaluation Criteria in Solid TumorsMaintenance therapyCancerClinical trialGastroenterologySurgeryPathology

Abstract

fetched live from OpenAlex

TPS5627 Background: Patients (pts) with first-line metastatic or recurrent endometrial cancer (EC) have a poor prognosis. Selinexor is an oral XPO1 inhibitor, which leads to nuclear accumulation of tumor suppressor proteins, including p53. Selinexor is FDA-approved for use in multiple myeloma and diffuse large B-cell lymphoma, and has shown clinical activity in previously treated, advanced EC. Molecular characterization of EC is critical in directing treatment for advanced and recurrent disease. Of the EC molecular subtypes, TP53 wild type (wt) tumors represent 50% of advanced and recurrent tumors. A recent phase 3 study in maintenance after chemotherapy found that, despite the primary endpoint (PFS) not reaching statistical significance, prolonged PFS of oral once-weekly selinexor versus placebo (13.7 months and 3.7 months, respectively) was observed in a prespecified exploratory subgroup analysis of patients with advanced or recurrent TP53wt EC. Methods: XPORT-EC-042 (NCT05611931) is a Phase 3 randomized, double-blind, placebo-controlled study designed to evaluate the efficacy and safety of selinexor as maintenance therapy in pts with TP53wt advanced or recurrent EC, who have achieved a partial response or complete response per Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 after completing at least 12 weeks of platinum combination chemotherapy ±immunotherapy for primary stage IV or recurrent disease. Eligible pts must be ≥18 years of age, have histologically confirmed EC, and TP53 wt disease based on NGS sequencing assessed by Foundation Medicine. Pts will be randomized 1:1 with either selinexor 60 mg or placebo once weekly in 28-day cycles until progressive disease, toxicity, or 3 years if in complete response. A total of 220 pts will be enrolled at sites across the United States, Canada, Europe, and Israel. The primary objective is to compare PFS in pts treated with selinexor compared to placebo based on RECIST v1.1 criteria as assessed by the Investigator. Key secondary objective is overall survival. Other secondary objectives are safety, time to first subsequent therapy, time to second subsequent therapy, time from randomization until the second progression event (PFS2), and PFS by a blinded independent central review. Patient enrollment is ongoing. Clinical trial information: NCT05611931 .

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)0.002
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.138
GPT teacher head0.479
Teacher spread0.341 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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