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PD-1(T) TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC

PURPOSE: Durable clinical benefit to PD-1 blockade in non–small cell lung cancer (NSCLC) is currently limited to a small fraction of patients, underlining the need for predictive biomarkers. We recently identified a tumor-reactive tumor-infiltrating T lymphocyte (TIL) pool, termed PD-1(T) TILs, with...

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Autores principales: Hummelink, Karlijn, van der Noort, Vincent, Muller, Mirte, Schouten, Robert D., Lalezari, Ferry, Peters, Dennis, Theelen, Willemijn S.M.E., Koelzer, Viktor H., Mertz, Kirsten D., Zippelius, Alfred, van den Heuvel, Michel M., Broeks, Annegien, Haanen, John B.A.G., Schumacher, Ton N., Meijer, Gerrit A., Smit, Egbert F., Monkhorst, Kim, Thommen, Daniela S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762332/
https://www.ncbi.nlm.nih.gov/pubmed/35852792
http://dx.doi.org/10.1158/1078-0432.CCR-22-0992
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author Hummelink, Karlijn
van der Noort, Vincent
Muller, Mirte
Schouten, Robert D.
Lalezari, Ferry
Peters, Dennis
Theelen, Willemijn S.M.E.
Koelzer, Viktor H.
Mertz, Kirsten D.
Zippelius, Alfred
van den Heuvel, Michel M.
Broeks, Annegien
Haanen, John B.A.G.
Schumacher, Ton N.
Meijer, Gerrit A.
Smit, Egbert F.
Monkhorst, Kim
Thommen, Daniela S.
author_facet Hummelink, Karlijn
van der Noort, Vincent
Muller, Mirte
Schouten, Robert D.
Lalezari, Ferry
Peters, Dennis
Theelen, Willemijn S.M.E.
Koelzer, Viktor H.
Mertz, Kirsten D.
Zippelius, Alfred
van den Heuvel, Michel M.
Broeks, Annegien
Haanen, John B.A.G.
Schumacher, Ton N.
Meijer, Gerrit A.
Smit, Egbert F.
Monkhorst, Kim
Thommen, Daniela S.
author_sort Hummelink, Karlijn
collection PubMed
description PURPOSE: Durable clinical benefit to PD-1 blockade in non–small cell lung cancer (NSCLC) is currently limited to a small fraction of patients, underlining the need for predictive biomarkers. We recently identified a tumor-reactive tumor-infiltrating T lymphocyte (TIL) pool, termed PD-1(T) TILs, with predictive potential in NSCLC. Here, we examined PD-1(T) TILs as biomarker in NSCLC. EXPERIMENTAL DESIGN: PD-1(T) TILs were digitally quantified in 120 baseline samples from advanced NSCLC patients treated with PD-1 blockade. Primary outcome was disease control (DC) at 6 months. Secondary outcomes were DC at 12 months and survival. Exploratory analyses addressed the impact of lesion-specific responses, tissue sample properties, and combination with other biomarkers on the predictive value of PD-1(T) TILs. RESULTS: PD-1(T) TILs as a biomarker reached 77% sensitivity and 67% specificity at 6 months, and 93% and 65% at 12 months, respectively. Particularly, a patient group without clinical benefit was reliably identified, indicated by a high negative predictive value (NPV) (88% at 6 months, 98% at 12 months). High PD-1(T) TILs related to significantly longer progression-free (HR 0.39, 95% CI, 0.24–0.63, P < 0.0001) and overall survival (HR 0.46, 95% CI, 0.28–0.76, P < 0.01). Predictive performance was increased when lesion-specific responses and samples obtained immediately before treatment were assessed. Notably, the predictive performance of PD-1(T) TILs was superior to PD-L1 and tertiary lymphoid structures in the same cohort. CONCLUSIONS: This study established PD-1(T) TILs as predictive biomarker for clinical benefit to PD-1 blockade in patients with advanced NSCLC. Most importantly, the high NPV demonstrates an accurate identification of a patient group without benefit. See related commentary by Anagnostou and Luke, p. 4835
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spelling pubmed-97623322023-01-05 PD-1(T) TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC Hummelink, Karlijn van der Noort, Vincent Muller, Mirte Schouten, Robert D. Lalezari, Ferry Peters, Dennis Theelen, Willemijn S.M.E. Koelzer, Viktor H. Mertz, Kirsten D. Zippelius, Alfred van den Heuvel, Michel M. Broeks, Annegien Haanen, John B.A.G. Schumacher, Ton N. Meijer, Gerrit A. Smit, Egbert F. Monkhorst, Kim Thommen, Daniela S. Clin Cancer Res Precision Medicine and Imaging PURPOSE: Durable clinical benefit to PD-1 blockade in non–small cell lung cancer (NSCLC) is currently limited to a small fraction of patients, underlining the need for predictive biomarkers. We recently identified a tumor-reactive tumor-infiltrating T lymphocyte (TIL) pool, termed PD-1(T) TILs, with predictive potential in NSCLC. Here, we examined PD-1(T) TILs as biomarker in NSCLC. EXPERIMENTAL DESIGN: PD-1(T) TILs were digitally quantified in 120 baseline samples from advanced NSCLC patients treated with PD-1 blockade. Primary outcome was disease control (DC) at 6 months. Secondary outcomes were DC at 12 months and survival. Exploratory analyses addressed the impact of lesion-specific responses, tissue sample properties, and combination with other biomarkers on the predictive value of PD-1(T) TILs. RESULTS: PD-1(T) TILs as a biomarker reached 77% sensitivity and 67% specificity at 6 months, and 93% and 65% at 12 months, respectively. Particularly, a patient group without clinical benefit was reliably identified, indicated by a high negative predictive value (NPV) (88% at 6 months, 98% at 12 months). High PD-1(T) TILs related to significantly longer progression-free (HR 0.39, 95% CI, 0.24–0.63, P < 0.0001) and overall survival (HR 0.46, 95% CI, 0.28–0.76, P < 0.01). Predictive performance was increased when lesion-specific responses and samples obtained immediately before treatment were assessed. Notably, the predictive performance of PD-1(T) TILs was superior to PD-L1 and tertiary lymphoid structures in the same cohort. CONCLUSIONS: This study established PD-1(T) TILs as predictive biomarker for clinical benefit to PD-1 blockade in patients with advanced NSCLC. Most importantly, the high NPV demonstrates an accurate identification of a patient group without benefit. See related commentary by Anagnostou and Luke, p. 4835 American Association for Cancer Research 2022-11-14 2022-07-19 /pmc/articles/PMC9762332/ /pubmed/35852792 http://dx.doi.org/10.1158/1078-0432.CCR-22-0992 Text en ©2022 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Precision Medicine and Imaging
Hummelink, Karlijn
van der Noort, Vincent
Muller, Mirte
Schouten, Robert D.
Lalezari, Ferry
Peters, Dennis
Theelen, Willemijn S.M.E.
Koelzer, Viktor H.
Mertz, Kirsten D.
Zippelius, Alfred
van den Heuvel, Michel M.
Broeks, Annegien
Haanen, John B.A.G.
Schumacher, Ton N.
Meijer, Gerrit A.
Smit, Egbert F.
Monkhorst, Kim
Thommen, Daniela S.
PD-1(T) TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC
title PD-1(T) TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC
title_full PD-1(T) TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC
title_fullStr PD-1(T) TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC
title_full_unstemmed PD-1(T) TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC
title_short PD-1(T) TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC
title_sort pd-1(t) tils as a predictive biomarker for clinical benefit to pd-1 blockade in patients with advanced nsclc
topic Precision Medicine and Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762332/
https://www.ncbi.nlm.nih.gov/pubmed/35852792
http://dx.doi.org/10.1158/1078-0432.CCR-22-0992
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