Unknown

Dataset Information

0

Metabolic characteristics of programmed cell death-ligand 1-expressing lung cancer on 18 F-fluorodeoxyglucose positron emission tomography/computed tomography.


ABSTRACT: Programmed cell death-1 (PD-1) and programmed cell death-ligand 1 (PD-L1) have been identified as novel targets of immunotherapy of lung cancer. In present study, we evaluated the metabolic characteristics of lung cancer by using 18 F-fluorodeoxyglucose positron emission tomography/computed tomography (18 F-FDG PET/CT) with regard to PD-L1 protein expression. PD-L1 protein expression was evaluated by immunohistochemistry with the antibody clone SP142 in 579 surgically resected primary lung cancer patients. Cases with less than 5% tumor membrane staining were considered negative. We examined the association between the frequency of PD-L1 protein expression and the maximum standardized uptake value (SUVmax) in preoperative 18 F-FDG PET/CT. The cut-off values for SUVmax were determined by receiver operating characteristic curve analyses. The SUVmax was significantly higher in nonsmall cell lung cancer (NSCLC) patients with PD-L1 protein expression compared with those without PD-L1 protein expression (P < 0.0001). However, there was no correlation between SUVmax and PD-L1 protein expression in patients with neuroendocrine tumors (P = 0.6545). Multivariate analysis revealed that smoking, the presence of pleural invasion, and high SUVmax were independent predictors of PD-L1 positivity. PD-L1-expressing NSCLC had a high glucose metabolism. The SUVmax in preoperative 18 F-FDG PET/CT was a predictor of PD-L1 protein expression in patients with NSCLC.

SUBMITTER: Takada K 

PROVIDER: S-EPMC5673920 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC10582033 | biostudies-literature
| S-EPMC4647251 | biostudies-literature
| S-EPMC11364571 | biostudies-literature
| S-EPMC8648629 | biostudies-literature
| S-EPMC7181584 | biostudies-literature
| S-EPMC11309150 | biostudies-literature
| S-EPMC9834100 | biostudies-literature
| S-EPMC7649810 | biostudies-literature
| S-EPMC10971147 | biostudies-literature