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Abstract S5-07: Preliminary efficacy and safety of pembrolizumab (MK-3475) in patients with PD-L1–positive, estrogen receptor-positive (ER+)/HER2-negative advanced breast cancer enrolled in KEYNOTE-028

2016· article· en· W2403393996 on OpenAlexaff
HS Rugo, J.P. Delord, S-A. Im, P.A. Ott, SA Piha-Paul, PL Bedard, Jasgit C. Sachdev, Christophe Le Tourneau, Emilie M.J. van Brummelen, Andréa Varga, Sanatan Saraf, Dina Pietrangelo, Vassiliki Karantza, Antoinette R. Tan

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsPembrolizumabMedicineInternal medicineBreast cancerOncologyCancerResponse Evaluation Criteria in Solid TumorsClinical endpointProgressive diseaseImmunotherapyClinical trialDisease

Abstract

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Abstract Background: The programmed cell death 1 (PD-1) pathway is used by tumors to evade immune surveillance. Pembrolizumab is a humanized anti–PD-1 monoclonal antibody that blocks the interaction between PD-1 and its ligands, PD-L1 and PD-L2. Pembrolizumab has shown robust antitumor activity against several advanced malignancies, including triple-negative breast cancer. We assessed the safety and efficacy of pembrolizumab in patients with PD-L1–positive, ER+/HER2-negative advanced breast cancer. Methods: KEYNOTE-028 (ClinicalTrials.gov, NCT02054806) is an ongoing multicohort, open-label phase 1b study evaluating the safety and efficacy of pembrolizumab in patients with PD-L1–positive advanced solid tumors. Key eligibility criteria for this cohort include ER+ and HER2-negative tumor status defined by institutional standards, locally advanced or metastatic disease, ECOG performance status of 0 or 1, failure of or inability to receive standard therapy, and PD-L1 expression in stroma or in ≥1% of tumor cells as assessed at a central laboratory using a prototype immunohistochemistry assay with the 22C3 antibody (Merck). Pembrolizumab was administered at a dose of 10 mg/kg every 2 weeks for up to 24 months or until confirmed progression or intolerable toxicity. Response is based on RECIST v1.1 as assessed by investigator review every 8 weeks for the first 6 months and every 12 weeks thereafter. Primary efficacy end point is overall response rate (ORR). Results: Of the 248 patients with ER+/HER2-negative breast cancer who had evaluable tumor samples screened for PD-L1 expression, 48 (19%) had PD-L1–positive tumors. Of these, 25 patients were enrolled. Median age was 53 years (range, 36-79), and 44% of patients had an ECOG performance status of 1. Patients were heavily pretreated, with 76% having received ≥3 prior lines of therapy for advanced disease, including 48.0% who received ≥5 prior lines. Analyses of ORR, duration of response, and adverse events are ongoing and will be completed by September 4, 2015. Conclusion: Data from this KEYNOTE-028 cohort will provide information on the antitumor activity and safety of pembrolizumab in patients with heavily pretreated, PD-L1–positive, ER+/HER2-negative advanced breast cancer. Citation Format: Rugo HS, Delord J-P, Im S-A, Ott PA, Piha-Paul SA, Bedard PL, Sachdev J, Le Tourneau C, van Brummelen E, Varga A, Saraf S, Pietrangelo D, Karantza V, Tan A. Preliminary efficacy and safety of pembrolizumab (MK-3475) in patients with PD-L1–positive, estrogen receptor-positive (ER+)/HER2-negative advanced breast cancer enrolled in KEYNOTE-028. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr S5-07.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.326
Teacher spread0.311 · 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 teacher head, not a consensus.

Study designObservational
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

Citations97
Published2016
Admission routes1
Has abstractyes

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