Blood immunomap for prediction of responses to anti-PD-1 immunotherapy in metastatic non-small cell lung cancer

Summary: The identification of circulating predictors of response to ICB therapy is vital as very few of them meet the demands of the clinic. Herein, by using high-dimensionality mass cytometry, we designed a blood immunomap in metastatic NSCLC individuals who underwent anti-PD-1 treatment. We ident...

Full description

Saved in:
Bibliographic Details
Main Authors: Maria Semitekolou, Nikolaos Paschalidis, Domenico Lo Tartaro, Aikaterini Tsitsopoulou, Panagiota Stamou, Alexandros Mavroudis, Effrosyni Markaki, Athina Varveri, Ioannis Morianos, Matthieu Lavigne, Charalampos Fotsitzoudis, Sofia Magkouta, Konstantina Dede, Ioannis Kalomenidis, Konstantinos Samitas, Konstantinos Potaris, Andrea Cossarizza, Dimitrios Mavroudis, Sara De Biasi, Panayiotis Verginis
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422501065X
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Summary: The identification of circulating predictors of response to ICB therapy is vital as very few of them meet the demands of the clinic. Herein, by using high-dimensionality mass cytometry, we designed a blood immunomap in metastatic NSCLC individuals who underwent anti-PD-1 treatment. We identified heightened frequencies of CD8+PD-L1+ T cells in non-responders compared to responders. Notably, imaging mass cytometry data revealed that CD8+PD-L1+ T cells were enriched in tumor biopsies, pleural infusions, and BAL of early-stage NSCLC individuals, proposing this cells subset as candidate not only for the advanced but also for early disease detection. Transcriptomic analysis unveiled that CD8+PD-L1+ T cells displayed an exhausted phenotype related to their increased frequencies to non-responders to immunotherapy, and gene signatures correlated with the overall survival of an independent cohort. Overall, our study pinpoints immune-related events which may benefit the quest for detection of predictive biomarkers of immunotherapy responses.
ISSN:2589-0042