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Abstract LB-258: Efficacy of first-line (1L) pembrolizumab by PD-L1 combined positive score <1, 1-19, and ≥20 in recurrent and/or metastatic (R/M) head and neck squamous cell carcinoma (HNSCC): KEYNOTE-048 subgroup analysis

2020· article· en· W3083253396 on OpenAlexaff
Barbara Burtness, Danny Rischin, Richard Greil, Denis Soulières, Makoto Tahara, Gilberto de Castro, Amanda Psyrri, Neus Basté, Prakash Neupane, Åse Bratland, Thorsten Fuereder, Brett Hughes, Ricard Mesı́a, Nuttapong Ngamphaiboon, Tamara Rordorf, Wan Zamaniah Wan Ishak, Joy Yang Ge, Ramona F. Swaby, Burak Gümüşçü, Kevin J. Harrington

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsInstitute of Cancer ResearchCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicinePembrolizumabHazard ratioInternal medicineProportional hazards modelPopulationCetuximabOncologyProgression-free survivalPost-hoc analysisHead and neck cancerConfidence intervalSubgroup analysisUrologyOverall survivalGastroenterologyNuclear medicineCancerImmunotherapy

Abstract

fetched live from OpenAlex

Abstract Introduction: In the phase 3 KEYNOTE-048 trial (NCT02358031) in R/M HNSCC, first-line pembrolizumab (P) monotherapy vs EXTREME (E; chemotherapy [C] + cetuximab) improved overall survival (OS) in PD-L1 combined positive score (CPS) ≥20 and CPS ≥1 populations and led to noninferior OS in the total population with favorable safety; first-line P+C vs E had superior OS in CPS ≥20, CPS ≥1, and total populations with comparable safety. Outcomes in CPS <1 and CPS 1-19 subgroups were not prospectively defined end points; we present a post hoc analysis in these subgroups. Methods: Patients with R/M HNSCC and no prior systemic therapy for R/M disease were randomly assigned 1:1:1 to P, P+C, or E. Progression-free survival (PFS), objective response rate (ORR), and duration of response were assessed by RECIST v1.1 per blinded independent central review. OS and PFS were estimated by the Kaplan-Meier method. Hazard ratios and 95% CIs were based on a Cox regression model with Efron's method of tie handling, with treatment as a covariate. Data cutoff was Feb 25, 2019. Results: Baseline characteristics of the CPS <1, CPS 1-19, and CPS ≥20 subgroups were similar to those of the total population. In the CPS <1 subgroup, the HR (95% CI) for OS was 1.51 (0.96-2.37) for P (n = 44) vs E (n = 45) and 1.21 (0.76-1.94) for P+C (n = 39) vs E (n = 43) (Table). In the CPS 1-19 subgroup, HR (95% CI) for OS showed a slight advantage of P (n = 124) vs E (n =133) (0.86 [0.66-1.12]) and favored P+C (n = 116) vs E (n = 125) (0.71 [0.54-0.94]). Conclusions: There was overall evidence of increased efficacy with increasing PD-L1 expression. In the CPS 1-19 subgroup, P+C vs E results were consistent with treatment benefit. Analysis of the CPS <1 subgroup was limited by small patient numbers. Future exploratory analyses of tumor mutational burden and inflamed signatures could further evaluate predictors of benefit in patients with low PD-L1-expressing HNSCC. Table.Efficacy in subgroups of patients with PD-L1 CPS <1, CPS 1-19, and CPS ≥20CPS subgroupTreatmentMedian OS, moOS HR12-mo OS rate, %Median PFS, moPFS HRORR, nMedian DOR, mo(95% CI)(95% CI)(95% CI)(95% CI)(95% CI)(%)(range)<1Pembrolizumab7.91.5138.62.14.3122.6n = 44(4.7-13.6)(0.96-2.37)(24.5-52.6)(1.9-2.3)(2.63-7.08)(4.5)(2.2-3.0)<1EXTREME11.3_48.96.2_197.8n = 45(9.1-15.9)(33.7-62.4)(5.1-7.6)(42.2)(2.0-38.6+)<1Pembrolizumab + Chemotherapy11.31.2141.04.71.46125.7n = 39(9.5-14.0)(0.76-1.94)(25.7-55.8)(3.4-6.2)(0.93-2.30)(30.8)(2.6-20.6+)<1EXTREME10.7_46.56.2_174.3n = 43(8.5-15.9)(31.2-60.4)(5.0-7.3)(39.5)(2.0-31.2+)1-19Pembrolizumab10.80.8644.02.21.2518NRn = 124(9.0-12.6)(0.66-1.12)(35.1-52.5)(2.1-2.9)(0.96-1.61)(14.5)(1.5+-38.9+)1-19EXTREME10.1_42.44.9_455.0n = 133(8.7-12.1)(33.9-50.7)(3.8-6.0)(33.8)(1.4+-38.7+)1-19Pembrolizumab + Chemotherapy12.70.7152.64.90.93345.6n = 116(9.4-15.3)(0.54-0.94)(43.1-61.2)(4.2-5.3)(0.71-1.21)(29.3)(1.6+-25.6+)1-19EXTREME9.9_41.14.9_424.6n = 125(8.6-11.5)(32.4-49.6)(3.7-6.0)(33.6)(1.4+-31.4+)≥20Pembrolizumab14.80.5856.43.40.993122.6n = 133(11.5-20.6)(0.44-0.78)(47.5-64.3)(3.2-3.8)(0.76-1.29)(23.3)(2.7-43.0+)≥20EXTREME10.7_44.95.3_444.2n = 122(8.8-12.8)(35.9-53.4)(4.8-6.3)(36.1)(1.2+-31.5+)≥20Pembrolizumab + Chemotherapy14.70.6057.15.80.76547.1n = 126(10.3-19.3)(0.45-0.82)(48.0-65.2)(4.7-7.6)(0.58-1.01)(42.9)(2.1+-39.0+)≥20EXTREME11.0_46.15.3_424.2n = 110(9.2-13.0)(36.6-55.1)(4.9-6.3)(38.2)(1.2+-31.5+) Citation Format: Barbara Burtness, Danny Rischin, Richard Greil, Denis Soulières, Makoto Tahara, Gilberto de Castro, Amanda Psyrri, Neus Basté, Prakash Neupane, Åse Bratland, Thorsten Fuereder, Brett G. Hughes, Ricard Mesia, Nuttapong Ngamphaiboon, Tamara Rordorf, Wan Zamaniah Wan Ishak, Joy Ge, Ramona Swaby, Burak Gumuscu, Kevin Harrington. Efficacy of first-line (1L) pembrolizumab by PD-L1 combined positive score <1, 1-19, and ≥20 in recurrent and/or metastatic (R/M) head and neck squamous cell carcinoma (HNSCC): KEYNOTE-048 subgroup analysis [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr LB-258.

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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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.087
GPT teacher head0.378
Teacher spread0.292 · 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 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".

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Citations15
Published2020
Admission routes1
Has abstractyes

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