Cancers (Basel). 2023 Jan 04. pii: 329. [Epub ahead of print]15(2):
Marta Gascón-Ruiz,
Ariel Ramírez-Labrada,
Rodrigo Lastra,
Luis Martínez-Lostao,
J Ramón Paño-Pardo,
Andrea Sesma,
María Zapata-García,
Alba Moratiel,
Elisa Quílez,
Irene Torres-Ramón,
Alfonso Yubero,
María Pilar Domingo,
Patricia Esteban,
Eva M Gálvez,
Julián Pardo,
Dolores Isla.
(1) Despite the effectiveness of immune checkpoint inhibitors (ICIs) in lung cancer, there is a lack of knowledge about predictive biomarkers. The objective of our study is to analyze different subsets of T-lymphocytes and natural killer (NK) cells as predictive biomarkers in a cohort of patients with nonsmall cell lung cancer (NSCLC) treated with ICI. (2) This is an observational, prospective study with 55 NSCLC patients treated with ICI. A total of 43 T and NK cell subsets are analyzed in peripheral blood, including the main markers of exhaustion, differentiation, memory, activation, and inhibition. (3) Regarding the descriptive data, Granzyme B+CD4+ Treg lymphocytes stand out (median 17.4%), and within the NK populations, most patients presented cytotoxic NK cells (CD56+CD3-CD16+GranzymeB+; median 94.8%), and about half of them have highly differentiated adaptive-like NK cells (CD56+CD3-CD16+CD57+ (mean 59.8%). A statistically significant difference was observed between the expression of PD1 within the CD56bright NK cell subpopulation (CD56+CD3-CD16-PD-1+) (p = 0.047) and a better OS. (4) Circulating immune cell subpopulations are promising prognostic biomarkers for ICI. Pending on validation with a larger sample, here we provide an analysis of the major circulating T and NK cell subsets involved in cancer immunity, with promising results despite a small sample size.
Keywords: NK cells; T lymphocytes; biomarkers; immunotherapy; lung cancer