¹⁸F-FDG PET/CT for prediction of PD-L1 expression and tumor mutational burden in non-small cell lung cancer: biomarkers prediction models development and immunotherapy responses verification.

ABSTRACT:

Background

Whether metabolic parameters on PET/CT are noninvasive alternatives to programmed cell death ligand 1 (PD-L1) expression and tumor mutational burden (TMB) in adenocarcinoma (ADC) and squamous cell carcinoma (SCC) remains unknown. We identified predictors and developed PET/CT-based nomogram models for predicting PD-L1 expression and TMB, and tested the usefulness of models for stratifying immunotherapy responses.

Methods

We enrolled 305 patients with non-small cell lung cancer from January 2017 to April 2024 as the primary cohort to investigate independent predictors of PD-L1 expression and TMB for ADC (n = 183) and SCC (n = 122). Clinicopathological characteristics, semantic CT features, and PET metabolic parameters were reviewed and analyzed. Significant predicto

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC12764134 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature