Abstract

Purpose

Heterogeneity is found in the tumor microenvironment among different pathological types of tumors. Radionuclide-labeled fibroblast-activation-protein inhibitor (FAPI), as an important tracer for non-invasive imaging of the tumor microenvironment, can be used to evaluate the expression of FAP in cancer-associated fibroblasts, macrophages, and tumor cells. Our aim was to explore the ability of [18F]AlF-NOTA-FAPI-04 positron emission tomography (PET)/computed tomography (CT) to distinguish different types of lung cancer by evaluating the uptake of this tracer in primary and metastatic lesions.

Methods

We prospectively enrolled 61 patients with histopathologically proven primary lung cancer with metastases. PET/CT scanning was performed before any antitumor therapy and 1 h after injection of 235.10 ± 3.89 MBq of [18F]AlF-NOTA-FAPI-04. Maximum standard uptake values (SUVmax) were calculated for comparison among primary and metastatic lesions. Immunohistochemical staining for FAP was performed on tumor specimens.

Results

Sixty-one patients with adenocarcinoma (ADC, n = 30), squamous cell carcinoma (SCC, n = 17), and small cell lung cancer (SCLC, n = 14) were enrolled in this study, and 61 primary tumors and 199 metastases were evaluated. No difference in [18F]AlF-NOTA-FAPI-04 uptake was observed among primary ADC, SCC, and SCLC tumors (P = 0.198). Additionally, no difference in uptake was found between primary and metastatic lesions of lung cancer with the same pathological type (P > 0.05). However, uptake did differ among metastases of differing pathological types (P < 0.001). The SUVmax of metastatic lymph nodes was highest for SCC, followed by ADC and then SCLC (P < 0.001). The SUVmax of bone metastases also was highest for SCC, followed by ADC and SCLC (P < 0.05), but no difference was observed between ADC and SCLC. The SUVmax of metastases in other organs was higher in SCC cases than in ADC cases but did not differ between SCC and SCLC or ADC and SCLC. Bone metastases exhibited higher uptake than those of lymph nodes and other organs in SCC and ADC (P < 0.05) but not in SCLC. Positive correlations were found between FAPI uptake and FAP expression in surgical plus biopsy specimens (r = 0.439, P = 0.012) and surgical specimens (r = 0.938, P = 0.005).

Conclusion

[18F]AlF-NOTA-FAPI-04 PET/CT imaging revealed differences in FAP expression in metastases of lung cancer, with the highest expression specifically in bone metastases, and thus, may be valuable for distinguishing different pathological types of lung cancer.

Details

Title
[18F]AlF-NOTA-FAPI-04 PET/CT uptake in metastatic lesions on PET/CT imaging might distinguish different pathological types of lung cancer
Author
Wei Yuchun 1 ; Cheng, Kai 2 ; Fu, Zheng 2 ; Zheng Jinsong 2 ; Mu Zhengshuai 3 ; Zhao Chenglong 3 ; Liu, Xiaoli 1 ; Wang, Shijie 4 ; Yu, Jinming 1 ; Yuan Shuanghu 1   VIAFID ORCID Logo 

 Cheeloo College of Medicine, Shandong University, Jinan, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174); Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Department of Radiology, Jinan, China (GRID:grid.410587.f) 
 Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Department of PET/CT Center, Jinan, China (GRID:grid.410587.f) 
 Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Department of Pathology, Jinan, China (GRID:grid.410587.f) 
 Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Shandong Provincial Key Laboratory of Radiation Oncology, Jinan, Shandong Province, China (GRID:grid.410587.f) 
Pages
1671-1681
Publication year
2022
Publication date
Apr 2022
Publisher
Springer Nature B.V.
ISSN
16197070
e-ISSN
16197089
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2641692662
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.