Dynamic immune signatures of patients with advanced non-small-cell lung cancer for infection prediction after immunotherapy.

ABSTRACT:

Background

Pulmonary infections are a crucial health concern for patients with advanced non-small-cell lung cancer (NSCLC). Whether the clinical outcome of pulmonary infection is influenced by immunotherapy(IO) remains unclear. By evaluating immune signatures, this study investigated the post-immunotherapy risk of pulmonary infection in patients with lung cancer and identified circulating biomarkers that predict post-immunotherapy infection.

Methods

Blood specimens were prospectively collected from patients with NSCLC before and after chemotherapy(C/T) and/or IO to explore dynamic changes in immune signatures. Real-world clinical data were extracted from medical records for outcome evaluation. Mass cytometry and ELISA were employed to analyze immune signatures and cytokine p

SUBMITTER: Luo YH 

PROVIDER: S-EPMC10853389 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature