MétaCan
Menu
← Back to cohort

Vibostolimab coformulated with pembrolizumab (vibo/pembro) for previously treated advanced mismatch repair–deficient (dMMR) endometrial cancer: Results from cohort B1 of the phase 2 KEYVIBE-005 study.

2024· article· en· W4399395001 on OpenAlexaff
Carlos A. Rojas, Ferry A.L.M. Eskens, François Ghiringhelli, Mustafa Özgüroğlu, Christian Caglevic, Mahmut Gümüş, Diégo Tosi, Julien Grenier, Alejandro Falcón, Andres Arenas, Lucía González‐Cortijo, Andrew Robinson, Javier Cuello López, Maria C. Bell, Mariusz Kwiatkowski, Mehmet Alı Nahıt Şendur, Qi Liu, Tanya E. Keenan, Jane Healy, Robin Guo

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsMedicinePembrolizumabEndometrial cancerCohortCancerOncologyInternal medicineImmunotherapy

Abstract

fetched live from OpenAlex

5502 Background: Treatment options for advanced endometrial cancer after failure of first-line chemotherapy are limited. In the KEYNOTE-158 study, pembro demonstrated durable antitumor activity (ORR, 48%; median DOR, not reached [NR]; median PFS, 13.1 mo; median OS, NR) and an acceptable safety profile in patients (pts) with previously treated advanced microsatellite instability-high/dMMR endometrial cancer. The immune checkpoints TIGIT and PD-L1 are upregulated in several tumor types, including endometrial cancer, and are heavily coexpressed in dMMR tumors, suggesting that dual TIGIT/PD-(L)1 blockade may be an effective therapeutic approach in advanced dMMR endometrial cancer. We present data from cohort B1 of the open-label phase 2 KEYVIBE-005 study (NCT05007106), which evaluated vibo/pembro (anti-TIGIT/anti–PD-1) in pts with previously treated advanced dMMR endometrial cancer. Methods: Eligible pts were aged ≥18 y with advanced dMMR endometrial cancer with progressive disease after 1 platinum-based chemotherapy regimen (or ≤2 lines if 1 was given in the [neo]adjuvant setting), no prior anti–PD-(L)1 therapy, and an ECOG PS of 0 or 1. Pts received vibo 200 mg coformulated with pembro 200 mg Q3W for ≤35 cycles (2 y). The primary end point was ORR per RECIST v1.1 by investigator assessment. Secondary end points included DOR and PFS per RECIST v1.1 by investigator assessment, OS, and safety. Results: A total of 40 pts were enrolled. Median age was 63 y and 60% of pts had ECOG PS 1; 31 pts had previously received 1 line of therapy in any setting and 9 pts had previously received ≥2 lines of therapy in any setting. The median time from first dose to data cutoff (Oct 24, 2023) was 17.2 mo (range, 7.7-23.4). At data cutoff, 23 pts had discontinued treatment and 17 were ongoing. The ORR was 65% (n = 26; 95% CI, 48-79); 5 pts (13%) had a complete response and 21 (53%) had a partial response. Median DOR was 13.7 mo (95% CI, 12.7-NR), and 75% of responders remained in response for ≥12 mo based on the Kaplan-Meier method for censored data. Median PFS was 15.0 mo (95% CI, 8.1-15.6) and the 12-mo PFS rate was 58%. Median OS was NR (95% CI, 16.1-NR) and the 12-mo OS rate was 82%. Treatment-related adverse events (AEs) occurred in 38 pts (95%). Grade 3 or 4 treatment-related AEs occurred in 14 pts (35%), of which the most common were arthritis (5%) and maculopapular rash (5%). Nine pts (23%) discontinued treatment due to a treatment-related AE. Any-grade immune-mediated AEs or infusion reactions occurred in 21 pts (53%) and grade 3 or 4 events occurred in 7 pts (18%). No deaths due to treatment-related AEs or immune-mediated AEs or infusion reactions occurred. Conclusions: Vibo/pembro demonstrated durable antitumor activity and a manageable safety profile in pts with previously treated advanced dMMR endometrial cancer. Clinical trial information: NCT05007106 .

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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
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)0.0030.001

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 head0.093
GPT teacher head0.473
Teacher spread0.380 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Oncology→Same topicGenetic factors in colorectal cancer→French-language works237,207→