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Archive > Volume 27 Issue 4 > 2020,27(4):351-358. DOI:10.3872/j.issn.1007-385X.2020.04.002 Prev Next
Prompt Report
Correlation of PET/CT metabolic makers with expression of immune cell markers in patients with lung adenocarcinoma
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Abstract:
Objective: To investigate the relationship between 18F-FDG PET/CT metabolic indicators and expression of immunocyte markers in lung adenocarcinoma patients, and to explore its significance in treatment and prognosis prediction for lung adenocarcinoma patients. Methods: The clinical data of 85 lung adenocarcinoma patients, who admitted to Tianjin Medical University Cancer Institute and Hospital and underwent PET/CT examination from April 2008 to August 2014, were retrospectively analyzed. The expression levels of CD3, CD8, CD68, CD163, CD11c, Foxp3, PD-1 and PD-L1 were determined by immunohistochemistry. Correlations among immune markers (CD68+TAM), PET/CT metabolic parameters (SUVmax, SUVpeak and SUVmean) and tumor metabolic indicators (MTV, TLG)were analyzed using Pearson correlation analysis. The relationships between tumor metabolism, immune indicators and patients’survival outcomes were analyzed using the Kaplan-Meier method. Results: There was a remarkably negative correlation between SUVmax,SUVpeak, SUVmean and expression level of CD68+TAMs (r=-0.253, -0.265, -0.263, all P<0.05) but positive correlation with PD-1+TILs (r=0.427, 0.402, 0.395, all P<0.01) in lung adenocarcinoma patients. MTV and TLG were positively associated with Foxp3+ Tregs and PD-1+ TILs (r=0.313, 0.307, 0.29, 0.407, all P<0.01). Kaplan-Meier survival analysis showed that SUVmax, SUVmean,CD11c+DCs, PD-L1+ cells and TLG were all significantly associated with patients’prognosis (PFS or OS) (all P<0.05). Conclusion:Metabolism of tumor primary lesions is significantly correlated with tumor infiltrating immunocytes, and some of these indicators were associated with patients’prognosis, suggesting that tumor metabolism and microenvironment immune status reflected by 18F-FDG PET/CTindicatorsmay have important reference value for the immunotherapy and prognosis prediction of lung adenocarcinoma patients.
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Project Supported:
Project supported by the National Key Research and Development Program of China (No. 2018YFC131400), and the Key Program of Tianjin Health Industry (No.15KG145)
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