Functional Engagement of the PD-1/PD-L1 Complex But Not PD-L1 Expression Is Highly Predictive of Patient Response to Immunotherapy in Non-Small-Cell Lung Cancer

In many cancers, the expression of immunomodulatory ligands leads to immunoevasion, as exemplified by the interaction of PD-L1 with PD-1 on tumor-infiltrating lymphocytes. Profound advances in cancer treatments have come with the advent of immunotherapies directed at blocking these immuno-suppressiv...

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Veröffentlicht in:Journal of clinical oncology 2023-05, Vol.41 (14), p.2561-2570
Hauptverfasser: Sánchez-Magraner, Lissete, Gumuzio, Juan, Miles, James, Quimi, Nicole, Martínez Del Prado, Purificación, Abad-Villar, María Teresa, Pikabea, Fernando, Ortega, Laura, Etxezarraga, Carmen, Martín-Algarra, Salvador, Lozano, María D, Saiz-Camin, Mónica, Egurrola-Izquierdo, Mikel, Barredo-Santamaría, Inmaculada, Saiz-López, Alberto, Gomez-Mediavilla, Jenifer, Segues-Merino, Nerea, Juaristi-Abaunz, María Aranzazu, Urruticoechea, Ander, Geraedts, Erica J, van Elst, Kim, Claessens, Niels J M, Italiano, Antoine, Applebee, Christopher J, Del Castillo, Sandra, Evans, Charles, Aguirre, Fernando, Parker, Peter J, Calleja, Véronique
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container_end_page 2570
container_issue 14
container_start_page 2561
container_title Journal of clinical oncology
container_volume 41
creator Sánchez-Magraner, Lissete
Gumuzio, Juan
Miles, James
Quimi, Nicole
Martínez Del Prado, Purificación
Abad-Villar, María Teresa
Pikabea, Fernando
Ortega, Laura
Etxezarraga, Carmen
Martín-Algarra, Salvador
Lozano, María D
Saiz-Camin, Mónica
Egurrola-Izquierdo, Mikel
Barredo-Santamaría, Inmaculada
Saiz-López, Alberto
Gomez-Mediavilla, Jenifer
Segues-Merino, Nerea
Juaristi-Abaunz, María Aranzazu
Urruticoechea, Ander
Geraedts, Erica J
van Elst, Kim
Claessens, Niels J M
Italiano, Antoine
Applebee, Christopher J
Del Castillo, Sandra
Evans, Charles
Aguirre, Fernando
Parker, Peter J
Calleja, Véronique
description In many cancers, the expression of immunomodulatory ligands leads to immunoevasion, as exemplified by the interaction of PD-L1 with PD-1 on tumor-infiltrating lymphocytes. Profound advances in cancer treatments have come with the advent of immunotherapies directed at blocking these immuno-suppressive ligand-receptor interactions. However, although there has been success in the use of these immune checkpoint interventions, correct patient stratification for these therapies has been challenging. To address this issue of patient stratification, we have quantified the intercellular PD-1/PD-L1 interaction in formalin-fixed paraffin-embedded tumor samples from patients with non-small cell lung carcinoma, using a high-throughput automated quantitative imaging platform (quantitative functional proteomics [QF-Pro]). The multisite blinded analysis across a cohort of 188 immune checkpoint inhibitor-treated patients demonstrated the intra- and intertumoral heterogeneity of PD-1/PD-L1 immune checkpoint engagement and notably showed no correlation between the extent of PD-1/PD-L1 interaction and PD-L1 expression. Importantly, PD-L1 expression scores used clinically to stratify patients correlated poorly with overall survival; by contrast, patients showing a high PD-1/PD-L1 interaction had significantly better responses to anti-PD-1/PD-L1 treatments, as evidenced by increased overall survival. This relationship was particularly strong in the setting of first-line treatments. The functional readout of PD-1/PD-L1 interaction as a predictive biomarker for the stratification of patients with non-small-cell lung carcinoma, combined with PD-L1 expression, should significantly improve the response rates to immunotherapy. This would both capture patients excluded from checkpoint immunotherapy (high PD-1/PD-L1 interaction but low PD-L1 expression, 24% of patients) and additionally avoid treating patients who despite their high PD-L1 expression do not respond and suffer from side effects.
doi_str_mv 10.1200/JCO.22.01748
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Profound advances in cancer treatments have come with the advent of immunotherapies directed at blocking these immuno-suppressive ligand-receptor interactions. However, although there has been success in the use of these immune checkpoint interventions, correct patient stratification for these therapies has been challenging. To address this issue of patient stratification, we have quantified the intercellular PD-1/PD-L1 interaction in formalin-fixed paraffin-embedded tumor samples from patients with non-small cell lung carcinoma, using a high-throughput automated quantitative imaging platform (quantitative functional proteomics [QF-Pro]). The multisite blinded analysis across a cohort of 188 immune checkpoint inhibitor-treated patients demonstrated the intra- and intertumoral heterogeneity of PD-1/PD-L1 immune checkpoint engagement and notably showed no correlation between the extent of PD-1/PD-L1 interaction and PD-L1 expression. Importantly, PD-L1 expression scores used clinically to stratify patients correlated poorly with overall survival; by contrast, patients showing a high PD-1/PD-L1 interaction had significantly better responses to anti-PD-1/PD-L1 treatments, as evidenced by increased overall survival. This relationship was particularly strong in the setting of first-line treatments. The functional readout of PD-1/PD-L1 interaction as a predictive biomarker for the stratification of patients with non-small-cell lung carcinoma, combined with PD-L1 expression, should significantly improve the response rates to immunotherapy. 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Profound advances in cancer treatments have come with the advent of immunotherapies directed at blocking these immuno-suppressive ligand-receptor interactions. However, although there has been success in the use of these immune checkpoint interventions, correct patient stratification for these therapies has been challenging. To address this issue of patient stratification, we have quantified the intercellular PD-1/PD-L1 interaction in formalin-fixed paraffin-embedded tumor samples from patients with non-small cell lung carcinoma, using a high-throughput automated quantitative imaging platform (quantitative functional proteomics [QF-Pro]). The multisite blinded analysis across a cohort of 188 immune checkpoint inhibitor-treated patients demonstrated the intra- and intertumoral heterogeneity of PD-1/PD-L1 immune checkpoint engagement and notably showed no correlation between the extent of PD-1/PD-L1 interaction and PD-L1 expression. Importantly, PD-L1 expression scores used clinically to stratify patients correlated poorly with overall survival; by contrast, patients showing a high PD-1/PD-L1 interaction had significantly better responses to anti-PD-1/PD-L1 treatments, as evidenced by increased overall survival. This relationship was particularly strong in the setting of first-line treatments. The functional readout of PD-1/PD-L1 interaction as a predictive biomarker for the stratification of patients with non-small-cell lung carcinoma, combined with PD-L1 expression, should significantly improve the response rates to immunotherapy. 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source MEDLINE; American Society of Clinical Oncology Online Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects B7-H1 Antigen
Carcinoma, Non-Small-Cell Lung - drug therapy
Humans
Immunotherapy - methods
Lung Neoplasms - drug therapy
ORIGINAL REPORTS
title Functional Engagement of the PD-1/PD-L1 Complex But Not PD-L1 Expression Is Highly Predictive of Patient Response to Immunotherapy in Non-Small-Cell Lung Cancer
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