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Diagnostic efficacy of [68Ga]Ga-DOTA-GPFAPI-04 in patients with solid tumors in a head-to-head comparison with [18F]F-FDG: results from a prospective clinical study

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European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

To identify the biodistribution and diagnostic performance of a novel fibroblast activation protein (FAP) targeted positron emission tomography (PET) tracer, [68Ga]Ga-DOTA-GPFAPI-04, in patients with solid tumors in a head-to-head comparison with [18F]F-FDG.

Methods

Twenty-six patients histologically proven with cancers of nasopharyngeal (n = 5), esophagus (n = 5), gastro-esophagus (n = 1), stomach (n = 7), liver (n = 3), and colorectum (n = 5) were recruited for [68Ga]Ga-DOTA-GPFAPI-04 and [18F]F-FDG PET/CT scans on consecutive days. The primary endpoint was the diagnostic efficacy, with the histological diagnosis and the follow-up results selected as the gold standard. The secondary endpoint was the background uptake pattern. Two experienced nuclear medicine physicians who were blinded to the gold standard results while having essential awareness of the clinical context reviewed the images and labeled lesions by consensus for subsequent software-assisted lesion segmentation. Additionally, background organs were automatically segmented, assisted by artificial intelligence. Volume, mean, and maximum standard uptake values (SUVmean and SUVmax) of all segmentations were recorded. P < 0.05 was deemed as statistically significant.

Results

Significant glandular uptake of [68Ga]Ga-DOTA-GPFAPI-04 was detected in the thyroid, pancreas, and submandibular glands, while moderate uptake was observed in the parotid glands. The myocardium and myometrium exhibited 2–3 times higher uptake of the radiotracer than that of the background levels in blood and liver. A total of 349 targeted lesions, consisting of 324 malignancies and 25 benign lesions, were segmented. [68Ga]Ga-DOTA-GPFAPI-04 is more sensitive than [18F]F-FDG, especially for abdominopelvic dissemination (1.000 vs. 0.475, P < 0.001). Interestingly, [18F]F-FDG demonstrated higher sensitivity for lung metastasis compared to [68Ga]Ga-DOTA-GPFAPI-04 (0.845 vs. 0.682, P = 0.003). The high glandular uptake made it difficult to delineate lesions in close proximity and masked two metastatic lesions in these organs.

Conclusion

Despite prominent glandular uptake, [68Ga]Ga-DOTA-GPFAPI-04 demonstrates favorable diagnostic performance. It is a promising probe scaffold for further development of FAP-targeted tumor theranostic agents.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Sahai E, Astsaturov I, Cukierman E, DeNardo DG, Egeblad M, Evans RM, et al. A framework for advancing our understanding of cancer-associated fibroblasts. Nat Rev Cancer. 2020;20:174–86. https://doi.org/10.1038/s41568-019-0238-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Prive BM, Boussihmad MA, Timmermans B, van Gemert WA, Peters SMB, Derks YHW, et al. Fibroblast activation protein-targeted radionuclide therapy: background, opportunities, and challenges of first (pre)clinical studies. Eur J Nucl Med Mol Imaging. 2023;50:1906–18. https://doi.org/10.1007/s00259-023-06144-0.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Zhang Z, Tao J, Qiu J, Cao Z, Huang H, Xiao J, et al. From basic research to clinical application: targeting fibroblast activation protein for cancer diagnosis and treatment. Cell Oncol (Dordr). 2023. https://doi.org/10.1007/s13402-023-00872-z.

    Article  PubMed  Google Scholar 

  4. Giesel FL, Kratochwil C, Lindner T, Marschalek MM, Loktev A, Lehnert W, et al. 68Ga-FAPI PET/CT: Biodistribution and preliminary Dosimetry Estimate of 2 DOTA-Containing FAP-Targeting agents in patients with various cancers. J Nucl Med. 2019;60:386–92. https://doi.org/10.2967/jnumed.118.215913.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Kratochwil C, Flechsig P, Lindner T, Abderrahim L, Altmann A, Mier W, et al. 68Ga-FAPI PET/CT: Tracer Uptake in 28 different kinds of Cancer. J Nucl Med. 2019;60:801–5. https://doi.org/10.2967/jnumed.119.227967.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Toms J, Kogler J, Maschauer S, Daniel C, Schmidkonz C, Kuwert T, et al. Targeting fibroblast activation protein: Radiosynthesis and preclinical evaluation of an 18F-Labeled FAP inhibitor. J Nucl Med. 2020;61:1806–13. https://doi.org/10.2967/jnumed.120.242958.

    Article  CAS  PubMed  Google Scholar 

  7. Lai C, Cao R, Li R, He C, Wang X, Shi H, et al. Fibroblast activation protein targeting probe with gly-pro sequence for PET of Glioblastoma. Mol Pharm. 2023;20:4120–8. https://doi.org/10.1021/acs.molpharmaceut.3c00248.

    Article  CAS  PubMed  Google Scholar 

  8. Kersemans K, De Man K, Courtyn J, Van Royen T, Piron S, Moerman L, et al. Automated radiosynthesis of Al[18F]PSMA-11 for large scale routine use. Appl Radiat Isot. 2018;135:19–27. https://doi.org/10.1016/j.apradiso.2018.01.006.

    Article  CAS  PubMed  Google Scholar 

  9. Boellaard R, Delgado-Bolton R, Oyen WJ, Giammarile F, Tatsch K, Eschner W, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42:328–54. https://doi.org/10.1007/s00259-014-2961-x.

    Article  CAS  PubMed  Google Scholar 

  10. Wasserthal J, Breit HC, Meyer MT, Pradella M, Hinck D, Sauter AW, et al. TotalSegmentator: robust segmentation of 104 anatomic structures in CT images. Radiol Artif Intell. 2023;5:e230024. https://doi.org/10.1148/ryai.230024.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, et al. 3D slicer as an image computing platform for the quantitative Imaging Network. Magn Reson Imaging. 2012;30:1323–41. https://doi.org/10.1016/j.mri.2012.05.001.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Beichel RR, Van Tol M, Ulrich EJ, Bauer C, Chang T, Plichta KA, et al. Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: a just-enough-interaction approach. Med Phys. 2016;43:2948–64. https://doi.org/10.1118/1.4948679.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Sharma V, McNeill JH. To scale or not to scale: the principles of dose extrapolation. Br J Pharmacol. 2009;157:907–21. https://doi.org/10.1111/j.1476-5381.2009.00267.x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Demetrius L. Of mice and men. When it comes to studying ageing and the means to slow it down, mice are not just small humans. EMBO Rep. 2005;6:39–44. https://doi.org/10.1038/sj.embor.7400422. Spec No:S.

    Article  CAS  Google Scholar 

  15. Wang S, Zhou X, Xu X, Ding J, Liu T, Jiang J, et al. Dynamic PET/CT imaging of 68Ga-FAPI-04 in Chinese subjects. Front Oncol. 2021;11:651005. https://doi.org/10.3389/fonc.2021.651005.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Kumar S, Borish K, Dey S, Nagesh J, Das A. Sequence dependent folding motifs of the secondary structures of gly-pro and Pro-gly containing oligopeptides. Phys Chem Chem Phys. 2022;24:18408–18. https://doi.org/10.1039/d2cp01306a.

    Article  CAS  PubMed  Google Scholar 

  17. Minelli A, Conte C, Cacciatore I, Cornacchia C, Pinnen F. Molecular mechanism underlying the cerebral effect of gly-pro-glu tripeptide bound to L-dopa in a Parkinson’s animal model. Amino Acids. 2012;43:1359–67. https://doi.org/10.1007/s00726-011-1210-x.

    Article  CAS  PubMed  Google Scholar 

  18. Ding H, Liang J, Qiu L, Xu T, Cai L, Wan Q, et al. Prospective comparison of 68Ga-FAPI-04 and 18F-FDG PET/CT for tumor staging in nasopharyngeal carcinoma. Front Oncol. 2022;12:1047010. https://doi.org/10.3389/fonc.2022.1047010.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Qin C, Liu F, Huang J, Ruan W, Liu Q, Gai Y, et al. A head-to-head comparison of 68Ga-DOTA-FAPI-04 and 18F-FDG PET/MR in patients with nasopharyngeal carcinoma: a prospective study. Eur J Nucl Med Mol Imaging. 2021;48:3228–37. https://doi.org/10.1007/s00259-021-05255-w.

    Article  CAS  PubMed  Google Scholar 

  20. Wang L, Tang G, Hu K, Liu X, Zhou W, Li H, et al. Comparison of 68Ga-FAPI and 18F-FDG PET/CT in the evaluation of Advanced Lung Cancer. Radiology. 2022;303:191–9. https://doi.org/10.1148/radiol.211424.

    Article  PubMed  Google Scholar 

  21. Li M, Younis MH, Zhang Y, Cai W, Lan X. Clinical summary of fibroblast activation protein inhibitor-based radiopharmaceuticals: cancer and beyond. Eur J Nucl Med Mol Imaging. 2022;49:2844–68. https://doi.org/10.1007/s00259-022-05706-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Chen R, Yang X, Yu X, Zhou X, Ng YL, Zhao H, et al. Tumor-to-blood ratio for assessment of fibroblast activation protein receptor density in pancreatic cancer using 68Ga-FAPI-04. Eur J Nucl Med Mol Imaging. 2023;50:929–36. https://doi.org/10.1007/s00259-022-06010-5.

    Article  CAS  PubMed  Google Scholar 

  23. Wang L, Wang Y, Wang J, Xiao M, Xi XY, Chen BX, et al. Myocardial activity at 18F-FAPI PET/CT and risk for Sudden Cardiac Death in Hypertrophic Cardiomyopathy. Radiology. 2023;306:e221052. https://doi.org/10.1148/radiol.221052.

    Article  PubMed  Google Scholar 

  24. Zhang X, Song W, Qin C, Song Y, Liu F, Hu F, et al. Uterine uptake of 68Ga-FAPI-04 in Uterine Pathology and Physiology. Clin Nucl Med. 2022;47:7–13. https://doi.org/10.1097/RLU.0000000000003968.

    Article  PubMed  Google Scholar 

  25. Nakamoto Y, Baba S, Kaida H, Manabe O, Uehara T. Recent topics in fibroblast activation protein inhibitor-PET/CT: clinical and pharmacological aspects. Ann Nucl Med. 2024;38:10–9. https://doi.org/10.1007/s12149-023-01873-6.

    Article  PubMed  Google Scholar 

  26. Pang Y, Zhao L, Luo Z, Hao B, Wu H, Lin Q, et al. Comparison of 68Ga-FAPI and 18F-FDG uptake in gastric, duodenal, and colorectal cancers. Radiology. 2021;298:393–402. https://doi.org/10.1148/radiol.2020203275.

    Article  PubMed  Google Scholar 

  27. Cai J, Yang D, Sun H, Xiao L, Han F, Zhang M, et al. A multifactorial analysis of FAP to regulate gastrointestinal cancers progression. Front Immunol. 2023;14:1183440. https://doi.org/10.3389/fimmu.2023.1183440.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Zhao L, Pang Y, Luo Z, Fu K, Yang T, Zhao L, et al. Role of 68Ga-DOTA-FAPI-04 PET/CT in the evaluation of peritoneal carcinomatosis and comparison with 18F-FDG PET/CT. Eur J Nucl Med Mol Imaging. 2021;48:1944–55. https://doi.org/10.1007/s00259-020-05146-6.

    Article  CAS  PubMed  Google Scholar 

  29. Pure E, Blomberg R. Pro-tumorigenic roles of fibroblast activation protein in cancer: back to the basics. Oncogene. 2018;37:4343–57. https://doi.org/10.1038/s41388-018-0275-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Braune A, Oehme L, Freudenberg R, Hofheinz F, van den Hoff J, Kotzerke J, et al. Comparison of image quality and spatial resolution between 18F, 68Ga, and 64Cu phantom measurements using a digital Biograph Vision PET/CT. EJNMMI Phys. 2022;9:58. https://doi.org/10.1186/s40658-022-00487-7.

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This work was supported by the fund from the National Natural Science Foundation of China (81971645 and U2267221), Guangdong Provincial People’s Hospital (KY0120211130), Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application (2022B1212010011), Shanghai Municipal Science and Technology Major Project (TM202301H003), Gansu Science and Technology Major Project (23ZDFA014), and Shandong Laboratory Program (SYS202205).

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Authors and Affiliations

Authors

Contributions

Lei Jiang and Zhen Cheng designed the study, Hui Yuan, Entao Liu, Qing Zhang, and Yuxiang Shang collected PET/CT data, Guojin Zhang and Chaoquan Lai synthesized the tracer, Hui Yuan and Entao Liu analyzed the data and carried out the statistical analysis, and all authors wrote and approved the final manuscript.

Corresponding authors

Correspondence to Zhen Cheng or Lei Jiang.

Ethics declarations

Ethical approval

This is a prospective study (NCT06186427), locally approved by the Ethics Committee of Guangdong Provincial People’s Hospital (No. XJS2023-005-01) and conducted following the principles of the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

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All subjects gave written consent before participating in the study.

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The authors affirm that all human participants involved in this study have signed the consent form and agreed to the publication of their medical imaging and records in an anonymized format for the purposes of scientific research.

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The authors declare that they have no conflict of interest.

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Yuan, H., Liu, E., Zhang, G. et al. Diagnostic efficacy of [68Ga]Ga-DOTA-GPFAPI-04 in patients with solid tumors in a head-to-head comparison with [18F]F-FDG: results from a prospective clinical study. Eur J Nucl Med Mol Imaging (2024). https://doi.org/10.1007/s00259-024-06756-0

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