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Pembrolizumab in microsatellite instability high (MSI-H)/mismatch repair deficient (dMMR) cancers: Updated analysis from phase 2 KEYNOTE-158 study.

2021· article· en· W3170450105 on OpenAlexaff
Michele Maio, Paolo A. Ascierto, L. V. Manzyuk, Daniel Motola‐Kuba, Nicolas Penel, Philippe A. Cassier, Giovanni M. Bariani, Ana De Jesus‐Acosta, Toshihiko Doi, Federico Longo, Wilson H. Miller, Do‐Youn Oh, Maya Gottfried, Ruixue Wang, Fan Jin, Kevin Norwood, Aurélien Marabelle

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsPembrolizumabMedicineMicrosatellite instabilityInternal medicineOncologyCohortClinical endpointResponse Evaluation Criteria in Solid TumorsDiscontinuationCancerPhases of clinical researchClinical trialImmunotherapyAlleleMicrosatellite

Abstract

fetched live from OpenAlex

2565 Background: Approval of pembrolizumab for the treatment of unresectable or metastatic MSI-H/dMMR solid tumors that have progressed on prior therapy was supported by data from KEYNOTE-158 (NCT02628067). At the data cutoff of Dec 6, 2018, the ORR was 34.3% among 233 patients (pts) with MSI-H/dMMR solid tumors enrolled in all cohorts of KEYNOTE-158, 77.6% had duration of response (DOR) ≥24 mo, median PFS was 4.1 mo, and median OS was 23.5 mo. We present results from 351 pts enrolled in KEYNOTE-158 cohort K at the data cutoff of Oct 5, 2020. Methods: Cohort K of this phase 2, open-label study enrolled adults with any previously treated advanced noncolorectal MSI-H solid tumor, measurable disease per RECIST v1.1, and ECOG PS of 0–1. MSI-H/dMMR status was assessed locally from a tumor tissue sample and defined as ≥1 of 4 MMR proteins absent by immunohistochemistry or as ≥2 allelic loci size shifts of 5 microsatellite markers by PCR. Pts received pembrolizumab 200 mg Q3W for up to 35 cycles or until PD, unacceptable toxicity, investigator decision, or withdrawal of consent. The primary endpoint was ORR per RECIST v1.1 by blinded independent central review (BICR). Secondary endpoints were DOR and PFS per RECIST v1.1 by BICR, OS, and safety. Efficacy was assessed in all pts who received ≥1 dose of treatment with ≥6 mo follow-up; safety was assessed in all treated pts. Results: 351 pts were enrolled in KEYNOTE-158 cohort K across multiple tumor types, including endometrial (22.5%), gastric (14.5%), small intestine (7.4%), ovarian (7.1%), cholangiocarcinoma (6.3%), and pancreatic (6.3%). 41.0% had 1 prior line of therapy; 55.6% had ≥2 prior lines. Median time from first dose to database cutoff (Oct 5, 2020) was 37.5 (range, 0.2–55.6) mo; 16.0% were continuing treatment. The ORR among the 321 eligble pts was 30.8% (CR, 27; PR, 72); median DOR was 47.5 mo (Table). Treatment-related AEs occurred in 64.7% of pts (grade 3–5, 12.0%), led to discontinuation in 6.6%, and led to death in 3 pts (myocarditis, pneumonia, and Guillain-Barre syndrome). Immune-mediated AEs and infusion reactions occurred in 20.2% of pts (grade 3–4, 4.3%) and led to death in 2 pts with no other contributing factors (myocarditis [AE start, day 26; death, day 33] and Guillain-Barre syndrome [AE start, day 22; death, day 41]). Conclusions: Pembrolizumab demonstrated a high ORR (30.8%), durable clinical benefit, and a manageable safety profile in this heavily pretreated advanced MSI-H/dMMR noncolorectal pan-tumor population. Clinical trial information: NCT02628067. [Table: see text]

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)0.004
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.096
GPT teacher head0.466
Teacher spread0.370 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

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