The predictive value of total body PET/CT in high PD-L1 expression and immunotherapy in advanced non-small cell lung cancer patients
Total-body positron emission tomography/computed tomography (PET/CT) using uEXPLORER scanners demonstrates superior imaging capabilities for assessing programmed death ligand 1 (PD-L1) expression heterogeneity between primary tumors (PTs) and metastatic tumors (MTs) in advanced nonsmall cell lung ca...
Saved in:
Published in | Frontiers in oncology Vol. 15; p. 1578419 |
---|---|
Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
02.07.2025
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Total-body positron emission tomography/computed tomography (PET/CT) using uEXPLORER scanners demonstrates superior imaging capabilities for assessing programmed death ligand 1 (PD-L1) expression heterogeneity between primary tumors (PTs) and metastatic tumors (MTs) in advanced nonsmall cell lung cancer (NSCLC).
This retrospective study of 99 treatment-naïve NSCLC patients revealed that metabolic parameters (SUVmax, SUR-L, and SUR-BP) derived from biopsy-correlated PET/CT sites significantly predicted high PD-L1 expression (TC ≥ 50% or IC ≥ 10% by IHC).
SUR-L exhibited the highest diagnostic accuracy (AUC = 0.758,
< 0.001). Among 30 immunotherapytreated patients, PD-L1 positivity and SUR-BP ≥ 7.30 were associated with prolonged disease-free survival (DFS) (
= 0.012 and
= 0.035, respectively).
Our findings establish SUR-BP as a novel non-invasive biomarker for immunotherapy prognosis in NSCLC, addressing spatial heterogeneity challenges in PD-L1 assessment. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Ganesh Kumar Barik, Dana–Farber Cancer Institute, United States Reviewed by: Bharath Kumar Gajjela, Icahn School of Medicine at Mount Sinai, United States These authors have contributed equally to this work Edited by: Balkrishna Chaube, Indian Institute of Technology Dharwad, India |
ISSN: | 2234-943X 2234-943X |
DOI: | 10.3389/fonc.2025.1578419 |