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A PD-1/PD-L1 Proximity Assay as a Theranostic Marker for PD-1 Blockade in Patients with Metastatic Melanoma.
Girault, Isabelle; Adam, Julien; Shen, Shensi; Roy, Séverine; Brard, Caroline; Faouzi, Sara; Routier, Emilie; Lupu, Jéremy; Warren, Sarah; Sorg, Kristina; Ong, SuFey; Morel, Pascale; Scoazec, Jean-Yves; Vagner, Stéphan; Robert, Caroline.
  • Girault I; Gustave Roussy, INSERM U981, Villejuif France.
  • Adam J; Department of Pathology, Gustave Roussy, Villejuif, France.
  • Shen S; Department of Pathology, Saint Joseph Hospital, Paris, France.
  • Roy S; Gustave Roussy, INSERM U981, Villejuif France.
  • Brard C; Institute of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu, China.
  • Faouzi S; Department of Medicine, Gustave Roussy, Villejuif, France.
  • Routier E; Department of Biostatistics, Gustave Roussy, France.
  • Lupu J; Gustave Roussy, INSERM U981, Villejuif France.
  • Warren S; Department of Medicine, Gustave Roussy, Villejuif, France.
  • Sorg K; Department of Medicine, Gustave Roussy, Villejuif, France.
  • Ong S; Department of Medicine, Gustave Roussy, Villejuif, France.
  • Morel P; Department of Biostatistics, Gustave Roussy, France.
  • Scoazec JY; NanoString Technologies Inc, Seattle, Washington.
  • Vagner S; NanoString Technologies Inc, Seattle, Washington.
  • Robert C; NanoString Technologies Inc, Seattle, Washington.
Clin Cancer Res ; 28(3): 518-525, 2022 02 01.
Article en En | MEDLINE | ID: mdl-34785583
ABSTRACT

PURPOSE:

Less than 50% of patients with melanoma respond to anti-programmed cell death protein 1 (anti-PD-1), and this treatment can induce severe toxicity. Predictive markers are thus needed to improve the benefit/risk ratio of immune checkpoint inhibitors (ICI). Baseline tumor parameters such as programmed death ligand 1 (PD-L1) expression, CD8+ T-cell infiltration, mutational burden, and various transcriptomic signatures are associated with response to ICI, but their predictive values are not sufficient. Interaction between PD-1 and its main ligand, PD-L1, appears as a valuable target of anti-PD-1 therapy. Thus, instead of looking at PD-L1 expression only, we evaluated the predictive value of the proximity between PD-1 and its neighboring PD-L1 molecules in terms of response to anti-PD-1 therapy. EXPERIMENTAL

DESIGN:

PD-1/PD-L1 proximity was assessed by proximity ligation assay (PLA) on 137 samples from two cohorts (exploratory n = 66 and validation n = 71) of samples from patients with melanoma treated with anti-PD-1±anti-CTLA-4. Additional predictive biomarkers, such as PD-L1 expression (MELscore), CD8+ cells density, and NanoString RNA signature, were also evaluated.

RESULTS:

A PD-1/PD-L1 PLA model was developed to predict tumor response in an exploratory cohort and further evaluated in an independent validation cohort. This score showed higher predictive ability (AUC = 0.85 and 0.79 in the two cohorts, respectively) for PD-1/PD-L1 PLA as compared with other parameters (AUC = 0.71-0.77). Progression-free and overall survival were significantly longer in patients with high PLA values (P = 0.00019 and P < 0.0001, respectively).

CONCLUSIONS:

The proximity between PD-1 and PD-L1, easily assessed by this PLA on one formalin-fixed paraffin-embedded section, appears as a new biomarker of anti-PD-1 efficacy.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Protocolos de Quimioterapia Combinada Antineoplásica / Biomarcadores de Tumor / Anticuerpos Monoclonales Humanizados / Antígeno B7-H1 / Receptor de Muerte Celular Programada 1 / Ipilimumab / Nivolumab / Inhibidores de Puntos de Control Inmunológico / Melanoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Protocolos de Quimioterapia Combinada Antineoplásica / Biomarcadores de Tumor / Anticuerpos Monoclonales Humanizados / Antígeno B7-H1 / Receptor de Muerte Celular Programada 1 / Ipilimumab / Nivolumab / Inhibidores de Puntos de Control Inmunológico / Melanoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article