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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2022
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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 |
format | Online Article Text |
id | pubmed-9762332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
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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