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Long-term follow up of selinexor maintenance in patients with <i>TP53</i>wt advanced or recurrent endometrial cancer: A pre-specified subgroup analysis from the phase 3 ENGOT-EN5/GOG-3055/SIENDO study.

2023· article· en· W4385303851 on OpenAlexaff
Brian M. Slomovitz, José Alejandro Pérez Fidalgo, Erika Hamilton, Giorgio Valabrega, Toon Van Gorp, Jalid Sehouli, Jaroslav Klát, Tally Levy, Stephen Welch, Debra L. Richardson, Eva María Guerra Alia, Giovanni Scambia, Stéphanie Henry, Pauline Wimberger, Jerónimo Martínez, Bradley J. Monk, Pratheek Kalyanapu, Mansoor Raza Mirza, Vicky Makker, Ignace Vergote

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicinePlaceboClinical endpointSubgroup analysisInternal medicineOncologyEndometrial cancerMaintenance therapyPhases of clinical researchSurrogate endpointClinical trialCancerChemotherapyConfidence intervalPathology

Abstract

fetched live from OpenAlex

427956 Background: Molecular characterization is important to inform treatment decisions for patients with endometrial cancer (EC). Wild type TP53 ( TP53wt) is found in ~75% of newly diagnosed EC and 50% of advanced/recurrent tumors; there are no specific targeted therapies available for patients with TP53wt EC. Selinexor is an investigational oral XPO1 inhibitor that drives nuclear retention and functional activation of wild type tumor suppressor proteins, including p53. Methods: SIENDO (NCT03555422) was a phase 3 double-blind study evaluating selinexor vs placebo as maintenance therapy in patients with advanced/recurrent EC following response to prior systemic therapy. The primary endpoint was progression-free survival (PFS), which was previously presented at the ESMO plenary in March 2022. Preliminary analysis of a pre-specified exploratory subgroup of patients with TP53wt EC showed a decrease in risk for progression or death with a median PFS of 13.7 months with selinexor as maintenance therapy vs 3.7 months with placebo at the time of primary PFS analysis. The safety and efficacy of selinexor as maintenance therapy was now further assessed with long-term follow-up in the pre-specified subgroup of patients with TP53wt EC. Results: 113 patients with TP53wt EC were randomly assigned to receive selinexor vs placebo as maintenance therapy (selinexor, n=77/placebo, n=36). As of data cutoff on Nov 30, 2022, median follow-up was 20.3 months, with 26.3% and 22.9% patients still on selinexor and placebo treatment, respectively. Median PFS for the TP53wt subgroup was 20.8 months with selinexor vs 5.2 months with placebo (HR [Stratified by chemotherapy response CR vs PR] 0.46; 95% CI (0.27, 0.79), nominal one-sided p=0.002). Efficacy was observed regardless of MSS/MSI status. The most common adverse events (AEs) of any grade (selinexor/placebo) were nausea (90%/34%), vomiting (61%/11%) and diarrhea (38%/34%); and most common grade 3+ AEs included: neutropenia (18%/0%), nausea (12%/0%), and thrombocytopenia (9%/0%). TEAEs leading to discontinuations were reported in 15%/0% of patients, respectively. Conclusions: Long-term follow-up of a pre-specified subgroup analysis showed durable PFS benefit with selinexor maintenance in TP53wt EC, which offers the potential to prolong response to prior systemic therapy. These data suggest that TP53 status is a robust prognostic biomarker for EC and selinexor may provide meaningful benefit in patients who have TP53wt tumors. A phase 3 trial is underway to further investigate the safety and efficacy of selinexor as maintenance therapy in patients with advanced or recurrent TP53wt EC (NCT05611931). Updated PFS and results in additional molecular subtypes (MSS/MSI) of the TP53wt subgroup will be included at the time of presentation. Clinical trial information: NCT03555422 .

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.150
GPT teacher head0.499
Teacher spread0.350 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Oncology→Same topicProstate Cancer Treatment and Research→French-language works237,207→