Abstract
Purpose
68 Ga-FAPI (fibroblast activation protein inhibitor) is a rapidly evolving and highly promising radiotracer for PET/CT imaging, presenting excellent results in a variety of tumor entities, particularly in epithelial carcinomas. This retrospective analysis sought to evaluate the potential and impact of FAPI-PET/CT in rare cancer diseases with respect to improvement in staging and therapy, based on tracer uptake in normal organs and tumors.
Material and methods
Fifty-five patients with rare tumor entities, defined by a prevalence of 1 person out of 2000 or less, received a 68 Ga-FAPI-PET/CT scan. Fourteen women and 41 men (median age 60) were included within the following subgroups: cancer of unknown primary (n = 10), head and neck cancer (n = 13), gastrointestinal and biliary-pancreatic cancer (n = 17), urinary tract cancer (n = 4), neuroendocrine cancer (n = 4), and others (n = 7). Tracer uptake was quantified by standardized uptake values SUVmax and SUVmean and the tumor-to-background ratio (TBR) was determined (SUVmax tumor/SUVmean organ).
Results
In 20 out of 55 patients, the primary tumor was identified and 31 patients presented metastases (n = 88), characterized by a high mean SUVmax in primary (10.1) and metastatic lesions (7.6). The highest uptake was observed in liver metastases (n = 6) with a mean SUVmax of 9.8 and a high TBR of 8.7, closely followed by peritoneal carcinomatosis (n = 16) presenting a mean SUVmax of 9.8 and an excellent TBR of 29.6. In terms of the included subgroups, the highest uptake regarding mean SUVmax was determined in gastrointestinal and biliary-pancreatic cancer with 9.8 followed closely by urinary tract cancer with 9.5 and head and neck cancer (9.1).
Conclusion
Due to excellent tumor visualization and, thereby, sharp contrasts in terms of high TBRs in primary and metastatic lesions in different rare malignancies, 68 Ga-FAPI-PET/CT crystallizes as a powerful and valuable imaging tool, particularly with respect to epithelial carcinomas, and therefore an enhancement to standard diagnostics imaging methodologies. The realization of further and prospective studies is of large importance to confirm the potential of FAP imaging in oncology.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00259-021-05488-9.
Keywords: FAP imaging, 68 Ga-FAPI-PET/CT scan, 68 Ga-FAPI
Introduction
At present, no universal definition of rare tumor entities exists. In the European Union (EU), a rare disease is defined by a prevalence of no more than 1 person out of 2000. This indicates that approximately 7000 rare diseases have an impact on about 30 million people in the EU, highlighting the importance of a reliable and accurate staging tool despite low incidences [1]. A novel nuclear tracer, fibroblast activation protein inhibitor (FAPI), presented highly promising results in previously published analyses for imaging different types of cancer [2–4]. FAP, a cell membrane-bound type II serine protease, is overexpressed by cancer-associated fibroblasts (CAFs) which are associated with cancer-promoting processes and poor prognosis [5, 6]. Furthermore, several tumor entities demonstrated strong expressions of FAP, such as 90% of all epithelial carcinomas [7], enabling precise and accurate diagnostic staging and, therefore the most suitable therapeutic approach for each individual patient. Rare tumors are of particular interest as most of them originate from epithelial tissue, particularly in head and neck and biliary tract cancers [8, 9]. Additionally, FAPI might be useful for detecting peritoneal carcinomatosis, facilitating the diagnosis and guiding treatment which is rather challenging for tracers like 18F-FDG due to high bowel activity and therefore extensive background accumulation [10, 11]. Thus, it is of essence to evaluate the potential of 68 Ga-FAPI-positron emission tomography/computed tomography (PET/CT) in rare diseases in order to utilize it most efficiently.
Material and methods
Patient cohort
We retrospectively analyzed data of 55 patients with rare oncological malignancies, defined by prevalence of 1 person out of 2000 or less. All patients were referred by their treating oncologist in order to supplement or complete standard imaging. Indications for performing FAP imaging include insufficient delineation, inconclusive findings, or the need to select target-positive patients for last-line experimental FAP-radioligand therapy. Six out of these 55 patients were already investigated under a different scientific scope (25, 26, Röhrich and Syed et al. currently under review). All patients gave written informed consent to undergo 68 Ga-FAPI-PET/CT on an individual patient basis following national regulations and the Declaration of Helsinki. The radiopharmaceutical was applied according to the German Pharmaceutical Act §13(2b). The retrospective analysis was approved by the ethics committee of Heidelberg University (S016/2018).
Radiopharmaceuticals and 68 Ga-FAPI-PET/CT imaging
A Biograph mCT Flow PET/CT scanner (Siemens Medical Solutions) was used as the PET system, following previously published protocols [2, 12]. In summary, scans were obtained with a low-dose whole-body CT without contrast media and in 3D mode (matrix, 200 × 200) and subsequently corrected for randoms, scatter, and decay. Patients were requested to self-report any new symptoms or abnormalities up to 30 min after the end of the examination. Imaging data was acquired 60 min after tracer administration. Different 68 Ga-labeled FAP ligands were used in our 55 patients with different rare oncological diseases: FAPI-04: n = 22; FAPI-46: n = 20; FAPI-74: n = 13. A median activity of 252 MBq (range 118–340) was injected. Chemical synthesis and radiolabeling was performed as described previously [3, 13–15] for all 68 Ga-labeled FAP ligands.
Image evaluation
Tracer uptake in all patients was determined by quantification of mean and maximum standardized uptake values (SUVmean and SUVmax). Regarding SUV calculation, circular volumes of interest were drawn around tumor lesions on transaxial slices and automatically adapted to a 3-dimensional VOI with e.soft software (Siemens) at a 60% isocontour. Evaluation of normal organs was conducted with a 1 cm diameter (for the small organs thyroid, parotid gland, myocardium, oral mucosa, spinal cord, ovaries) or 2 cm diameter (brain, muscle, liver, pancreas, spleen, kidney, fat, aortic lumen content, lung, mamma, endometrium) sphere placed inside the organ parenchyma. Tumor-to-background ratios (TBRs) were determined for quantification of image contrast. The geometric mean of the quotients of lesion (SUVmax) to background tissue (SUVmean) formed the TBR, measured for metastases in lymph nodes (relative to fat tissue), bone (relative to bone spongiosa), liver (relative to liver parenchyma), peritoneal carcinomatosis (relative to fat), and lung (relative to lung parenchyma). Additionally, the TBRs of all identified tumors were formed in relation to blood pool, muscle, and fat tissue. The 68 Ga-FAPI-PET/CT scans were analyzed by one board-certified radiologist, one board-certified radiation oncologist, and two board-certified nuclear medicine physicians in consensus.
Statistics
Evaluation of descriptive analyses of all patients included demographic and tumor-specific characteristics. For determination of SUVs, mean, median, and range were utilized. The Kruskal–Wallis test was used for comparison of different lesion types. The correlation of FAPI uptake within or outside the tumor was determined by using the geometrical mean. The correlation of FAPI uptake with epithelial and non-epithelial origin was determined using a 2-sided t test, and a p-value of < 0.05 was defined as statistically significant. All statistical analyses were performed using SPSS Statistics Version 24 (IBM, Armonk, NY, USA) and Excel for Mac Version 15.41 (Microsoft, Redmond, Washington, USA).
Results
Study population
Fourteen women and 41 men with a median age of 60 years were included in this study and underwent 68 Ga-FAPI-PET/CT. In 20 out of 55 patients, the primary tumor was identified, and 31 patients had metastatic lesions (n = 88). The following rare oncological entities were enclosed: cancer of unknown primary (n = 10), head and neck cancer (n = 13), gastrointestinal and biliary-pancreatic cancer (n = 17), urinary tract cancer (n = 4), and neuroendocrine cancer (n = 4). The pooled group of others contained follicular lymphoma (n = 1), skin cancer (n = 2), epithelial hemangioendothelioma (n = 1), multiple myeloma (n = 1), and oncogenic osteomalacia (n = 1) (supplement Table 1).
Biodistribution and uptake in tumor lesions
Biodistribution of 68 Ga-FAPI demonstrated low background activity in most normal organs with a mean uptake of 0.9 (SUVmean) and 1.3 (SUVmax). Twenty out of 55 patients presented primary tumor lesions, and in 31 patients, 88 metastases were measured. Primary lesions consisted of primary tumors (n = 13) and local relapses (n = 7) showing a mean SUVmax of 10.1 (range 2.8–26.0) and a SUVmean of 5.5 (range 1.8–14.9). All metastases (n = 88) presented a mean SUVmax of 7.6 (range 2.3–13.5) and a SUVmean of 4.4 (range 1.8–7.9). The highest uptake was obtained by liver metastases (n = 6) and equally by peritoneal carcinomatosis (n = 16) with a mean SUVmax of 9.8. Strong uptakes were also determined in lymph node metastases (n = 36) with a mean SUVmax of 8.7, bone metastases (n = 22) showing a mean SUVmax of 7.8, lung metastases (n = 6) with a mean SUVmax of 5.0, and other metastases (n = 2) with a mean SUVmax of 5.2 (Fig. 1a). The highest uptake was determined in gastrointestinal and biliary-pancreatic cancer (n = 17) with a mean SUVmax of 9.8, followed closely by urinary tract cancer (n = 4) with a mean SUVmax of 9.5. Rather high uptake was also obtained in head and neck cancer (mean SUVmax 9.1), cancers of unknown primary (mean SUVmax of 7.7), and neuroendocrine tumors (mean SUVmax of 6.0). The other entities, encompassing all remaining rare diseases, presented a mean SUVmax of 5.2 (Fig. 1b). The subgroup analysis regarding cholangiocellular carcinoma (CCC) (n = 5) and gastric cancer (n = 5) established remarkably high SUV metrics. CCC presented a strong mean SUVmax of 14.7 in primary (n = 4) and a mean SUVmax of 10.03 in secondary lesions (n = 16). Gastric cancer demonstrated rather high mean SUVmax values in the primary tumor (6.8; n = 2) and metastases (10.23; n = 10) as well. By comparing different lesion including all malignancies, we determined a mean SUVmax of 10.1 in primary lesions (n = 20), 8.7 in lymph node metastases (n = 36), 9.8 in peritoneal carcinomatosis (n = 16), and 7.6 in distant metastases (n = 36). However, no significant differences in terms of uptake between those subgroups were established (p = 0.177). Primary and secondary lesions of epithelial origin were characterized by a higher uptake than non-epithelial lesions, as indicated by a mean SUVmax of 9.1 (n = 42) compared to 7.9 (n = 44) (p = 0.178), respectively.
Tumor to background ratios
Primary tumor ratios (n = 20) compared to background activity of all patients presented sharp contrasts in terms of high geometrical means (tumor/fat 25; tumor/muscle 11.2; tumor/blood pool 6.8). Furthermore, excellent tumor to background ratios of 28 in lymph node metastases to fatty tissue (n = 36), 8.2 in bone metastases to bone tissue (n = 22), 3.8 in lung metastases to lung tissue (n = 6), 8.7 in liver metastases to liver tissue (n = 6), and 29.6 in peritoneal carcinomatosis to fat tissue (n = 16) were determined (Tables 1 and 2).
Table 1.
Tumor/blood pool | Tumor/fat | Tumor/muscle | |
---|---|---|---|
TBR | 6.83 | 24.96 | 11.22 |
Table 2.
Lymph node metastases | Bone metastases | Liver metastases | Lung metastases | Peritoneal metastases | |
---|---|---|---|---|---|
TBR | 27.98 | 8.19 | 8.74 | 3.78 | 29.57 |
Discussion
This single-center retrospective analysis sought to evaluate the usefulness and impact of 68 Ga-FAPI-PET/CT in a cohort of patients with a variety of rare cancer diseases (Fig. 2). These are characterized by a common epithelial origin as well as low incidences and are correspondingly frequently neglected as less people are affected. Nevertheless, patients with rare malignancies should yet receive the best possible diagnostic and therapeutic approach, highlighting the immense importance of studies, particularly concerning these tumor entities.
68 Ga-FAPI-PET/CT proved to supplement standard diagnostics successfully in several tumor entities such as in pancreaticobiliary and gastrointestinal carcinomas, which also presented the highest uptake of all included subtypes in our analysis. A previously conducted study supports these findings, as it indicates that FAPI scans of patients with hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCC) seem to be equivalent to contrast-enhanced computed tomography (CE-CT) and magnetic resonance imaging (MRI) and even superior to FDG-PET/CT [16]. Moreover, FAPI-PET/CT imaging of liver lesions was capable of successfully distinguishing between HCC, non-HCC, and normal liver parenchyma [17]. CCC (n = 5) in particular presented an exceedingly high mean uptake with a SUVmax of 11 (range 3.9–26). A possible explanation might be the underlying microenvironment, as CCCs are characterized by a highly desmoplastic reaction, in which cancer-associated fibroblasts are among the predominant cell types, possibly contributing to growth and therapeutic resistance [18, 19]. Simultaneously, CAFs may represent a therapeutic target [20].
Another aspect that has to be considered is the potential of FAPI-PET/CT in primarily detecting peritoneal carcinomatosis and, moreover, in improving the precision of specifying its extent. Furthermore, peritoneal carcinomatosis impressed with not only strong tracer accumulation but also excellent TBRs, allowing an improved tumor delineation. Zhao et al. evaluated the potential of FAPI-PET/CT in patients with peritoneal carcinomatosis in comparison to FDG-PET/CT, showing a clear superior peritoneal cancer index score and a higher sensitivity for FAPI in cancer patients [10]. This may be due to low physiological accumulation of 68 Ga-FAPI compared with 18F-FDG in the intestinal tract, leading to scarce unspecific uptake in the peritoneal cavity. Exceptionally favorable results regarding peritoneal carcinomatosis were obtained in patients with gastric cancer, which is in concordance with our analyses as the mean SUVmax (10.1) of patients with gastric cancer is stronger than the mean SUVmax (8.5) of all measured peritoneal carcinomatoses, enabling particularly clear imaging contrasts (Fig. 3). This may facilitate therapeutic decisions and is of assistance for radiotherapy planning with regard to target volume definition. Within the remaining tumor entities, peritoneal carcinomatosis still presented a rather high uptake, yielding the possibility to enhance standard diagnostic procedure and reduce the amount of missed diagnoses [10].
68 Ga-FAPI-PET/CT in patients with urinary tract cancer presented a rather strong mean uptake (SUVmax 9.5) as well. For staging purposes, the European Association of Urology guidelines currently recommend contrast-enhanced CT of the chest and abdomen/pelvis [21, 22]. However, conventional CT has some limitations due to imprecise determination of the tumor allocation, extent, and invasion. As 68 Ga-FAPI-PET/CT most clearly demonstrated excellent tumor visualization, it may be able to complement standard diagnostic imaging and improve the precision of tumor detection, delineation, and invasion status. Furthermore, one exemplary patient posed to present equally strong uptake in the tumorous lesion only 10 min after tracer administration compared with 1 h, proving the feasibility of FAPI-PET/CT for rapid and adequate images, which may enable reduced radiation burden and improved practical implementation [3, 13–15] (Fig. 4). This patient suffered from neuroendocrine urothelial carcinoma and the favorable strong uptake demonstrates the potential of FAPI in neuroendocrine tumors, which are knowingly associated with the development of fibrosis [23, 24] and, therefore, presenting an auspicious target which has been reported in different case reports [25, 26].
One patient diagnosed with esthesioneuroblastoma, located retro-maxillary, even achieved higher uptake 10 min after tracer application than 1 h later (Fig. 5), representing a prerequisite of the capabilities of FAPI-PET/CT in head and neck cancers. This subgroup has proven strong uptakes, which can be interpreted with respect to its mostly epithelial origin, as 90% of all epithelial tumors have shown high FAP expression [7]. This is consistent with our analyses where all head and neck cancers with epithelial origin (n = 15) showed a notably higher mean SUVmax (10.11) than those of non-epithelial or unknown origin (n = 9) obtaining a SUVmax of 7.5. Head and neck cancers are known to often grow diffusely, making the discrimination between healthy and tumorous tissue difficult. Thus, FAPI-PET/CT might be of help producing sharp imaging contrasts with high tumor uptake and low background activity, represented by high TBRs. This may also facilitate therapy guidance as the main approach is radiotherapy or combined radiochemotherapy, which requires precise and accurate tumor delineation (Fig. 6) [27].
Moreover, theranostic application of FAP ligands may play a fundamental role in some of these tumor entities in the future. A first case report by Kratochwil et al. described Samarium-labeled FAPI radioligand therapy in a patient with sarcoma achieving stable disease [28]. This case underlines the evidence of the exciting translation research from FAP imaging to FAP therapy.
To find the most suitable therapeutic approach, knowing the origin of the primary tumor is of inevitable necessity. Lack of knowledge regarding tissue origin leads to a substantially more challenging treatment plan. FAPI-PET/CT was able to determine the location of the primary tumor and subsequently guide histologically confirmation, in a patient, where standard diagnostic imaging was insufficient beforehand (Fig. 7).
This retrospective single-center analysis contained several limitations. We used three different FAP ligands, yet biodistribution showed no significant differences regarding mean SUVmax (FAPI-46: 1.3 vs. FAPI 74: 1.4 vs. FAPI-04: 1.3). Within the scope of diagnostic evaluation, tumor uptake seems to be comparable according to previously conducted studies [12, 13]. The included subgroups differed in the number of patients limiting comparative analysis. No comparison with the current standard oncological tracer 18FDG was conducted. Furthermore, some diseases, even if declared rare by definition, occur fairly frequent such as HCC or urothelial carcinoma. Additionally, a variety of definitions of rare diseases are existing worldwide. However, a prevalence of no more than 1 person out of 2000 seems to be in concordance with the global average prevalence threshold [29]. Lacking a gold standard validation of discrepant lesion evaluation of sensitivity, specificity, and accuracy was beyond the scope of this work.
Conclusion
68 Ga-FAPI-PET/CT crystalizes as a highly valuable and powerful molecular imaging technique in several rare tumor entities due to high and rapid tracer uptake in primary and secondary lesions, as well as low background activity, leading to sharp contrasts represented by excellent TBRs. On this basis, it may emerge in the future as an enrichment to standard diagnostic imaging and invites novel therapeutic interventions with respect to FAP phenotyping and FAP derivatives for early response therapy evaluation. Therefore, it possibly represents an indispensable imaging methodology in evaluating various malignancies, particularly epithelial carcinomas. Further research with increased patient numbers and statistical reliability is of essence to assess the immense potential of FAPI-PET/CT.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
The authors gratefully acknowledge all participating patients.
Funding
Open Access funding enabled and organized by Projekt DEAL.
Declarations
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Competing interests
UH, TL, CK, WM, and FLG have a patent application for quinolone-based FAP-targeting agents for imaging and therapy in nuclear medicine. UH, TL, CK, and FLG also have shares of a consultancy group for iTheranostics. FLG is a medical advisor for ABX Advanced Biochemical Compound, Telix Pharmaceuticals, and SOFIE Biosciences. JD reports grants from ViewRay Inc., grants from CRI The Clinical Research Institute GmbH, grants from Accuray International Sarl, grants from RaySearch Laboratories AB, grants from Vision RT Limited, grants from Merck Serono GmbH, grants from Astellas Pharma GmbH, grants from Astra Zeneca GmbH, grants from Siemens Healthcare GmbH, grants from Solution Akademie GmbH, grants from Ergomed PLC Surrey Research Park, grants from Quintiles GmbH, grants from Pharmaceutical Research Associates GmbH, grants from Boehringer Ingelheim Pharma GmbH & Co. KG, grants from PTW-Freiburg Dr. Pychlau GmbH, grants from Nanobiotix S.A, outside the submitted work. SAK reports grants from ViewRay Inc., outside the submitted work. SA received grants from Accuray International Sarl, Merck Serono GmbH, Astra Zeneca GmbH, MSD, and Novocure GmbH outside the submitted work. S.A. holds shares from Novocure GmbH, Actinium Pharmaceuticals, Chimerix Inc., Telix Pharmaceuticals, and Clovis Oncology. All other authors declare no potential conflicts of interest relevant to this article.
Footnotes
This article is part of the Topical Collection on Oncology - General
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
K Dendl and R Finck contributed equally to this work.
Change history
8/15/2022
Missing Open Access funding information has been added in the Funding Note.
References
- 1.Rare diseases I European Commission (Europa.eu); https://ec.europa.eu/info/research-and-innovation/research-area/health-research-and-innovation/rare-diseases. Accessed March 2021.
- 2.Kratochwil C, Flechsig P, Lindner T, Abderrahim L, Altmann A, Mier W, Adeberg S, Rathke H, Röhrich M, Winter H, Plinkert PK, Marme F, Lang M, Kauczor HU, Jäger D, Debus J, Haberkorn U, Giesel FL. 68Ga-FAPI PET/CT: tracer uptake in 28 different kinds of cancer. J Nucl Med. 2019;60(6):801–805. doi: 10.2967/jnumed.119.227967. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Loktev A, Lindner T, Burger EM, Altmann A, Giesel F, Kratochwil C, Debus J, Marmé F, Jäger D, Mier W, Haberkorn U. Development of fibroblast activation protein-targeted radiotracers with improved tumor retention. J Nucl Med. 2019;60(10):1421–1429. doi: 10.2967/jnumed.118.224469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dendl K, Koerber SA, Finck R, Mokoala K, Staudinger F, Schillings L, Heger U, Röhrich M, Kratochwil C, Sathekge M, Jäger D, Debus J, Haberkorn U, Giesel FL. 68Ga-FAPI-PET/CT in patients with various gynecological malignancies. Eur J Nucl Med Mol Imaging. 2021. https://doi.org/10.1007/s00259-021-05378-0. [DOI] [PMC free article] [PubMed]
- 5.Gascard P, Tlsty TD. Carcinoma-associated fibroblasts: orchestrating the composition of malignancy. Genes Dev. 2016;30(9):1002–1019. doi: 10.1101/gad.279737.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Barbazán J, Matic VD. Cancer associated fibroblasts: is the force the path to the dark side? Curr Opin Cell Biol. 2019;56:71–79. doi: 10.1016/j.ceb.2018.09.002. [DOI] [PubMed] [Google Scholar]
- 7.Garin-Chesa P, Old LJ, Rettig WJ. Cell surface glycoprotein of reactive stromal fibroblasts as a potential antibody target in human epithelial cancers. Proc Natl Acad Sci U S A. 1990;87(18):7235–7239. doi: 10.1073/pnas.87.18.7235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Moeini A, Haber PK, Sia D. Cell of origin in biliary tract cancers and clinical implications. JHEP Rep. 2021;3(2):100226. doi: 10.1016/j.jhepr.2021.100226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Adeyemi BF, Adekunle LV, Kolude BM, Akang EE, Lawoyin JO. Head and neck cancer–a clinicopathological study in a tertiary care center. J Natl Med Assoc. 2008;100(6):690–697. doi: 10.1016/s0027-9684(15)31343-2. [DOI] [PubMed] [Google Scholar]
- 10.Zhao L, Pang Y, Luo Z, Fu K, Yang T, Zhao L, Sun L, Wu H, Lin Q, Chen H. Role of [68Ga]Ga-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 doi: 10.1007/s00259-020-05146-6. [DOI] [PubMed] [Google Scholar]
- 11.Giesel FL, Kratochwil C, Schlittenhardt J, Dendl K, Eiber M, Staudinger F, Kessler L, Fendler WP, Lindner T, Koerber SA, Cardinale J, Sennung D, Roehrich M, Debus J, Sathekge M, Haberkorn U, Calais J, Serfling S, Buck AL. Head-to-head intra-individual comparison of biodistribution and tumor uptake of 68Ga-FAPI and 18F-FDG PET/CT in cancer patients. Eur J Nucl Med Mol Imaging. 2021 doi: 10.1007/s00259-021-05307-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Giesel FL, Kratochwil C, Lindner T, Marschalek MM, Loktev A, Lehnert W, Debus J, Jäger D, Flechsig P, Altmann A, Mier W, Haberkorn U. 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(3):386–392. doi: 10.2967/jnumed.118.215913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Meyer C, Dahlbom M, Lindner T, Vauclin S, Mona C, Slavik R, Czernin J, Haberkorn U, Calais J. Radiation dosimetry and biodistribution of 68Ga-FAPI-46 PET imaging in cancer patients. J Nucl Med. 2020;61(8):1171–1177. doi: 10.2967/jnumed.119.236786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Giesel FL, Adeberg S, Syed M, Lindner T, Jiménez-Franco LD, Mavriopoulou E, Staudinger F, Tonndorf-Martini E, Regnery S, Rieken S, El Shafie R, Röhrich M, Flechsig P, Kluge A, Altmann A, Debus J, Haberkorn U, Kratochwil C. FAPI-74 PET/CT using either 18F-AlF or cold-kit 68Ga labeling: biodistribution, radiation dosimetry, and tumor delineation in lung cancer patients. J Nucl Med. 2021;62(2):201–207. doi: 10.2967/jnumed.120.245084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Lindner T, Loktev A, Altmann A, Giesel F, Kratochwil C, Debus J, Jäger D, Mier W, Haberkorn U. Development of quinoline-based theranostic ligands for the targeting of fibroblast activation protein. J Nucl Med. 2018;59(9):1415–1422. doi: 10.2967/jnumed.118.210443. [DOI] [PubMed] [Google Scholar]
- 16.Guo W, Pang Y, Yao L, Zhao L, Fan C, Ke J, Guo P, Hao B, Fu H, Xie C, Lin Q, Wu H, Sun L, Chen H. Imaging fibroblast activation protein in liver cancer: a single-center post hoc retrospective analysis to compare [68Ga]Ga-FAPI-04 PET/CT versus MRI and [18F]-FDG PET/CT. Eur J Nucl Med Mol Imaging. 2020 doi: 10.1007/s00259-020-05095-0. [DOI] [PubMed] [Google Scholar]
- 17.Geist BK, Xing H, Wang J, Shi X, Zhao H, Hacker M, Sang X, Huo L, Li X. A methodological investigation of healthy tissue, hepatocellular carcinoma, and other lesions with dynamic 68Ga-FAPI-04 PET/CT imaging. EJNMMI Phys. 2021;8(1):8. doi: 10.1186/s40658-021-00353-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sirica AE, Gores GJ. Desmoplastic stroma and cholangiocarcinoma: clinical implications and therapeutic targeting. Hepatology. 2014;59(6):2397–2402. doi: 10.1002/hep.26762. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Lin Y, Li B, Yang X, Cai Q, Liu W, Tian M, Luo H, Yin W, Song Y, Shi Y, He R. Fibroblastic FAP promotes intrahepatic cholangiocarcinoma growth via MDSCs recruitment. Neoplasia. 2019;21(12):1133–1142. doi: 10.1016/j.neo.2019.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Togo S, Polanska UM, Horimoto Y, Orimo A. Carcinoma-associated fibroblasts are a promising therapeutic target. Cancers (Basel) 2013;5(1):149–169. doi: 10.3390/cancers5010149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Witjes JA, Bruins HM, Cathomas R, Compérat EM, Cowan NC, Gakis G, Hernández V, Linares Espinós E, Lorch A, Neuzillet Y, Rouanne M, Thalmann GN, Veskimäe E, Ribal MJ, van der Heijden AG. European Association of Urology guidelines on muscle-invasive and metastatic bladder cancer: summary of the 2020 guidelines. Eur Urol. 2021;79(1):82–104. doi: 10.1016/j.eururo.2020.03.055. [DOI] [PubMed] [Google Scholar]
- 22.Voskuilen CS, van Gennep EJ, Einerhand SMH, Vegt E, Donswijk ML, Bruining A, van der Poel HG, Horenblas S, Hendricksen K, van Rhijn BWG, Mertens LS. Staging 18F-fluorodeoxyglucose positron emission tomography/computed tomography changes treatment recommendation in invasive bladder cancer. Eur Urol Oncol. 2021;S2588–9311(21):00029–38. doi: 10.1016/j.euo.2021.01.005. [DOI] [PubMed] [Google Scholar]
- 23.Cives M, Pelle' E, Quaresmini D, Rizzo FM, Tucci M, Silvestris F. The tumor microenvironment in neuroendocrine tumors: biology and therapeutic implications. Neuroendocrinology. 2019;109(2):83–99. doi: 10.1159/000497355. [DOI] [PubMed] [Google Scholar]
- 24.Laskaratos FM, Rombouts K, Caplin M, Toumpanakis C, Thirlwell C, Mandair D. Neuroendocrine tumors and fibrosis: an unsolved mystery? Cancer. 2017;123(24):4770–4790. doi: 10.1002/cncr.31079. [DOI] [PubMed] [Google Scholar]
- 25.Wang H, Du Z, Huang Q, Ren S, Guan Y, Xie F, Lu L, Zhu W. The superiority of [68Ga]Ga-FAPI-04 over [18F]-FDG in a case of neuroendocrine tumour with hepatic metastasis. Eur J Nucl Med Mol Imaging. 2021 Feb 23. 10.1007/s00259-021-05247-w [DOI] [PubMed]
- 26.Kömek H, Gündoğan C, Can C. 68Ga-FAPI PET/CT versus 68Ga-DOTATATE PET/CT in the evaluation of a patient with neuroendocrine tumor. Clin Nucl Med. 2020 Dec 21;Publish Ahead of Print. 10.1097/RLU.0000000000003490
- 27.Syed M, Flechsig P, Liermann J, Windisch P, Staudinger F, Akbaba S, Koerber SA, Freudlsperger C, Plinkert PK, Debus J, Giesel F, Haberkorn U, Adeberg S. Fibroblast activation protein inhibitor (FAPI) PET for diagnostics and advanced targeted radiotherapy in head and neck cancers. Eur J Nucl Med Mol Imaging. 2020;47(12):2836–2845. doi: 10.1007/s00259-020-04859-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Kratochwil C, Giesel FL, Rathke H, et al. [153Sm]Samarium-labeled FAPI-46 radioligand therapy in a patient with lung metastases of a sarcoma [published online ahead of print, 2021 Mar 17]. Eur J Nucl Med Mol Imaging. 2021;10.1007/s00259-021-05273-8. [DOI] [PMC free article] [PubMed]
- 29.Richter T, Nestler-Parr S, Babela R, Khan ZM, Tesoro T, Molsen E, Hughes DA. International Society for Pharmacoeconomics and Outcomes Research Rare Disease Special Interest Group. Rare disease terminology and definitions-a systematic global review: report of the ISPOR Rare Disease Special Interest Group. Value Health. 2015;18(6):906–14. doi: 10.1016/j.jval.2015.05.008. [DOI] [PubMed] [Google Scholar]
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