Predicting programmed death-ligand 1 (PD-L1) expression with fluorine-18 fluorodeoxyglucose ([ 18 F]FDG) positron emission tomography/computed tomography (PET/CT) metabolic parameters in resectable non-small cell lung cancer.

Autor: Hughes DJ; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK.; King's College London & Guy's and St Thomas' PET Centre, London, UK.; Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK., Josephides E; Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK., O'Shea R; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK.; Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK., Manickavasagar T; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK.; Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK.; Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK., Horst C; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK.; Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK., Hunter S; Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK., Tanière P; Department of Histopathology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK., Nonaka D; Department of Histopathology, Guy's and St Thomas' NHS Foundation Trust, London, UK., Van Hemelrijck M; School of Cancer and Pharmaceutical Sciences, King's College London, London, UK., Spicer J; Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK.; School of Cancer and Pharmaceutical Sciences, King's College London, London, UK., Goh V; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK.; Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK., Bille A; Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK.; School of Cancer and Pharmaceutical Sciences, King's College London, London, UK., Karapanagiotou E; Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK.; School of Cancer and Pharmaceutical Sciences, King's College London, London, UK., Cook GJR; Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK. gary.cook@kcl.ac.uk.; King's College London & Guy's and St Thomas' PET Centre, London, UK. gary.cook@kcl.ac.uk.
Jazyk: angličtina
Zdroj: European radiology [Eur Radiol] 2024 Sep; Vol. 34 (9), pp. 5889-5902. Date of Electronic Publication: 2024 Feb 22.
DOI: 10.1007/s00330-024-10651-5
Abstrakt: Background: Programmed death-ligand 1 (PD-L1) expression is a predictive biomarker for immunotherapy in non-small cell lung cancer (NSCLC). PD-L1 and glucose transporter 1 expression are closely associated, and studies demonstrate correlation of PD-L1 with glucose metabolism.
Aim: The aim of this study was to investigate the association of fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography ([ 18 F]FDG-PET/CT) metabolic parameters with PD-L1 expression in primary lung tumour and lymph node metastases in resected NSCLC.
Methods: We conducted a retrospective analysis of 210 patients with node-positive resectable stage IIB-IIIB NSCLC. PD-L1 tumour proportion score (TPS) was determined using the DAKO 22C3 immunohistochemical assay. Semi-automated techniques were used to analyse pre-operative [ 18 F]FDG-PET/CT images to determine primary and nodal metabolic parameter scores (including max, mean, peak and peak adjusted for lean body mass standardised uptake values (SUV), metabolic tumour volume (MTV), total lesional glycolysis (TLG) and SUV heterogeneity index (HISUV)).
Results: Patients were predominantly male (57%), median age 70 years with non-squamous NSCLC (68%). A majority had negative primary tumour PD-L1 (TPS < 1%; 53%). Mean SUV max , SUV mean , SUV peak and SUL peak values were significantly higher (p < 0.05) in those with TPS ≥ 1% in primary tumour (n = 210) or lymph nodes (n = 91). However, ROC analysis demonstrated only moderate separability at the 1% PD-L1 TPS threshold (AUCs 0.58-0.73). There was no association of MTV, TLG and HISUV with PD-L1 TPS.
Conclusion: This study demonstrated the association of SUV-based [ 18 F]FDG-PET/CT metabolic parameters with PD-L1 expression in primary tumour or lymph node metastasis in resectable NSCLC, but with poor sensitivity and specificity for predicting PD-L1 positivity ≥ 1%.
Clinical Relevance Statement: Whilst SUV-based fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography metabolic parameters may not predict programmed death-ligand 1 positivity ≥ 1% in the primary tumour and lymph nodes of resectable non-small cell lung cancer independently, there is a clear association which warrants further investigation in prospective studies.
Trial Registration: Non-applicable KEY POINTS: • Programmed death-ligand 1 immunohistochemistry has a predictive role in non-small cell lung cancer immunotherapy; however, it is both heterogenous and dynamic. • SUV-based fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography ([ 18 F]FDG-PET/CT) metabolic parameters were significantly higher in primary tumour or lymph node metastases with positive programmed death-ligand 1 expression. • These SUV-based parameters could potentially play an additive role along with other multi-modal biomarkers in selecting patients within a predictive nomogram.
(© 2024. The Author(s).)
Databáze: MEDLINE