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Published in: European Journal of Nuclear Medicine and Molecular Imaging 11/2016

01-10-2016 | Original Article

Correlation of metabolic information on FDG-PET with tissue expression of immune markers in patients with non-small cell lung cancer (NSCLC) who are candidates for upfront surgery

Authors: Egesta Lopci, Luca Toschi, Fabio Grizzi, Daoud Rahal, Laura Olivari, Giovanni Francesco Castino, Silvia Marchetti, Nina Cortese, Dorina Qehajaj, Daniela Pistillo, Marco Alloisio, Massimo Roncalli, Paola Allavena, Armando Santoro, Federica Marchesi, Arturo Chiti

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 11/2016

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Abstract

Purpose

Eliciting antitumor T-cell response by targeting the PD-1/PD-L1 axis with checkpoint inhibitors has emerged as a novel therapeutic strategy in non-small cell lung cancer (NSCLC). The identification of predictors for sensitivity or resistance to these agents is, therefore, needed. Herein, we investigate the correlation of metabolic information on FDG-PET with tissue expression of immune-checkpoints and other markers of tumor-related immunity in resected NSCLC patients.

Materials and methods

All patients referred to our institution for upfront surgical resection of NSCLC, who were investigated with FDG-PET prior to surgery, were consecutively included in the study. From January 2010 to May 2014, 55 patients (stage IA-IIIB; M:F = 42:13; mean age 68.9 years) were investigated. Sampled surgical tumor specimens were analyzed by immunohistochemistry (IHC) for CD68-TAMs (tumor-associated macrophages), CD8-TILs (tumor infiltrating lymphocytes), PD-1-TILs, and PD-L1 tumor expression. Immunoreactivity was evaluated, and scores were compared with imaging findings. FDG-PET images were analyzed to define semi-quantitative parameters: SUVmax and SUVmean. Metabolic information on FDG-PET was correlated with tissue markers expression and disease-free survival (DFS) considering a median follow-up of 16.2 months.

Results

Thirty-six adenocarcinomas (ADC), 18 squamous cell carcinomas (SCC), and one sarcomatoid carcinoma were analyzed. All tumors resulted positive at FDG-PET: median SUVmax 11.3 (range: 2.3–32.5) and SUVmean 6.4 (range: 1.5–13) both resulted significantly higher in SCC compared to other NSCLC histotypes (p = 0.007 and 0.048, respectively). IHC demonstrated a median immunoreactive surface covered by CD68-TAMs of 5.41 % (range: 0.84–14.01 %), CD8-TILs of 2.9 % (range: 0.11–11.92 %), PD-1 of 0.65 % (range: 0.02–5.87 %), and PD-L1 of 0.7 % (range: 0.03–10.29 %). We found a statistically significant correlation between SUVmax and SUVmean with the expression of CD8 TILs (rho = 0.31; p = 0.027) and PD-1 (rho = 0.33; p = 0.017 and rho = 0.36; p = 0.009, respectively). The other tissue markers correlated as follows: CD8 TILs and PD-1 (rho = 0.45; p = 0.001), CD8 TILs and PD-L1 (rho = 0.41; p = 0.003), CD68-TAMs and PD-L1 (rho = 0.30; p = 0.027), PD-1 and PD-L1 (rho = 0.26; p = 0.059). With respect to patients’ outcome, SUVmax, SUVmean, and disease stage showed a statistically significant correlation with DFS (p = 0.002, 0.004, and <0.001, respectively).

Conclusions

The present study shows a direct association between metabolic parameters on FDG-PET and the expression of tumor-related immunity markers, suggesting a potential role for FDG-PET to characterize the tumor microenvironment and select NSCLC patients candidate to checkpoint inhibitors.
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Metadata
Title
Correlation of metabolic information on FDG-PET with tissue expression of immune markers in patients with non-small cell lung cancer (NSCLC) who are candidates for upfront surgery
Authors
Egesta Lopci
Luca Toschi
Fabio Grizzi
Daoud Rahal
Laura Olivari
Giovanni Francesco Castino
Silvia Marchetti
Nina Cortese
Dorina Qehajaj
Daniela Pistillo
Marco Alloisio
Massimo Roncalli
Paola Allavena
Armando Santoro
Federica Marchesi
Arturo Chiti
Publication date
01-10-2016
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Nuclear Medicine and Molecular Imaging / Issue 11/2016
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-016-3425-2

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