Skip to main content
Download PDF

Impact of FAPI-46/dual-tracer PET/CT imaging on radiotherapeutic management in esophageal cancer

Radiation Oncology volume 19, Article number: 44 (2024) Cite this article

Abstract

Background

Fibroblast activation protein (FAP) is expressed in the tumor microenvironment (TME) of various cancers. In our analysis, we describe the impact of dual-tracer imaging with Gallium-68-radiolabeled inhibitors of FAP (FAPI-46-PET/CT) and fluorodeoxy-D-glucose (FDG-PET/CT) on the radiotherapeutic management of primary esophageal cancer (EC).

Methods

32 patients with EC, who are scheduled for chemoradiation, received FDG and FAPI-46 PET/CT on the same day (dual-tracer protocol, 71%) or on two separate days (29%) We compared functional tumor volumes (FTVs), gross tumor volumes (GTVs) and tumor stages before and after PET-imaging. Changes in treatment were categorized as “minor” (adaption of radiation field) or “major” (change of treatment regimen). Immunohistochemistry (IHC) staining for FAP was performed in all patients with available tissue.

Results

Primary tumor was detected in all FAPI-46/dual-tracer scans and in 30/32 (93%) of FDG scans. Compared to the initial staging CT scan, 12/32 patients (38%) were upstaged in nodal status after the combination of FDG and FAPI-46 PET scans. Two lymph node metastases were only visible in FAPI-46/dual-tracer. New distant metastasis was observed in 2/32 (6%) patients following FAPI-4 -PET/CT. Our findings led to larger RT fields (“minor change”) in 5/32 patients (16%) and changed treatment regimen (“major change”) in 3/32 patients after FAPI-46/dual-tracer PET/CT. GTVs were larger in FAPI-46/dual-tracer scans compared to FDG-PET/CT (mean 99.0 vs. 80.3 ml, respectively (p < 0.001)) with similar results for nuclear medical FTVs. IHC revealed heterogenous FAP-expression in all specimens (mean H-score: 36.3 (SD 24.6)) without correlation between FAP expression in IHC and FAPI tracer uptake in PET/CT.

Conclusion

We report first data on the use of PET with FAPI-46 for patients with EC, who are scheduled to receive RT. Tumor uptake was high and not depending on FAP expression in TME. Further, FAPI-46/dual-tracer PET had relevant impact on management in this setting. Our data calls for prospective evaluation of FAPI-46/dual-tracer PET to improve clinical outcomes of EC.

Introduction

Esophageal carcinomas (EC) account for approximately 1% of all malignant diseases and 2% of all cancer-related deaths in Germany [1] and the incidence of adenocarcinoma is growing. Exact tumor staging is crucial to select the right treatment option for each patient. 30–40% of patients are in a resectable tumor stage when first diagnosed. Both, undertreatment of patients with undetected metastatic lesions (cM1) as well as overtreatment (intense chemotherapy regimens) in patients with early-stage EC and wrong positive findings in conventional staging can impact patients’ prognosis and outcomes.

FDG PET/CT is a helpful tool for tumor delineation in radiation oncology (RO) and has become, if available, a recommended diagnostic tool in many countries [2], yet there is no consensus on radiotherapeutic management of FDG-positive lesions. Sensitivity for detection of lymph node (LN) metastasis in FDG PET/CT is described as 49%, specificity 87%% and accuracy 68% [3]. In comparison, endobronchial ultrasound (EUS) and fine-needle aspiration of LN show higher rates of pooled specificity and accuracy (81% and 77%, respectively). Given poor prognosis of EC, there is great interest in identifying novel diagnostic targets. In several tumor entities, FAPI-labelled PET tracers showed to be superior to conventional FGD PET/CT [4]. There is first evidence, that initial tumor staging with FAPI PET/CT shows good diagnostic performance in detecting primary tumor and lymph node metastases in patients with EC [5].

In a newly developed dual-tracer protocol, we showed greater Gross Tumor Volumes (GTVs) derived from FAPI-46/dual-tracer PET/CT in a case series of cervical, head and neck and esophageal cancer patients [6, 7] leading to larger irradiation fields. Our aim in this analysis is to describe the impact of imaging with radiolabeled inhibitors of FAPI ([68Ga]Ga-FAPI-46-PET/CT) and fluorodeoxy-D-glucose ([18F]F-FDG-PET/CT) on radiotherapeutic management of esophageal cancer (EC).

Patients and methods

Patient cohort, dual-tracer protocol and PET/CT imaging

Our retrospective analysis included 32 patients with primary esophageal cancer who received PET/CT scans between May 2020 and May 2023 (for patient characteristics, see Table 1). Of these, 72% (23 patients) underwent single session/dual-tracer PET/CT protocol (both scans on the same day) while 9 patients received their FDG- and FAPI-46 PET/CTs on two different time points. All scans were performed for cancer staging prior to radiotherapy. Dual-tracer PET/CT imaging was carried out according to a previously published protocol [6] and it allows administering both PET tracers (FAPI-46 and FDG) in one appointment.

Table 1 Patient characteristics
Full size table

The acquisition of the PET/CT was in a supine position in craniocaudal direction, whole body, starting at the skull base until mid-thigh. The mean time interval between application of FDG and scanning was 64.8 ± 14.2 min. In case of dual-tracer PET/CT protocol, after completion of FDG-PET/CT scan with 234.9 ± 59.9 MBq (mean), we injected 182.3 ± 43.1 MBq FAPI-46 (mean). The subsequent dual-tracer PET/CT was performed 18 ± 22 min after injection. When FAPI-46 PET/CT was performed on a different day as the FDG-PET/CT, patients received 166.2 ± 36.4 MBq FAPI-46 and FAPI-46 PET/CT was performed 44.2 ± 22.6 min later (see Table 2). For improved subsequent radiotherapy planning and matching of the images, patients wore immobilization devices for head, arms, back and knees to ensure a good correlation between PET/CT and radiotherapy. Patients with high (cervical) esophageal cancer received a thermoplastic mask. PET/CT scans were evaluated by two independent reviewers (specialists for nuclear medicine). A correlation with the CT was performed to exclude unspecific findings.

Table 2 Scan data
Full size table

Count rates (CR) and functional tumor volume (FTV) measurements

Volumes of interest (VOIs) were drawn around the primary tumor and, if present, the metastases, to determine the maximum count rates (CRmax) and/or peak count rates (CRpeak) of the lesions. Mean count rates (CRmean) of reference tissue (mediastinal blood pool and liver) were measured with VOIs of 1 cm diameter in the descending thoracic aorta (representing mediastinal blood pool) and VOIs of 2 cm diameter in the right liver lobe.

FTVs of tumors and metastasis were measured in the single- and dual-tracer PET/CT scans. FTVs were calculated in all PET scans using the SyngoVia workstation (Siemens, Erlangen, Germany), taking a fixed threshold of CR of 4.0 (FTV4.0) or a CR-adapted threshold (defindes as the 2.5-fold of CRmean in the bloodpool (BP) (= FTVBPadapted). The latter was necessary to compensate for increased CR values sometimes occurring in the reference and background tissue in patients with dual-tracer PET/CT. FTV-measurements were performed in the primary tumor (FTVtumor), in nodal/distant metastasis (FTVmetastasis) and, if present, in secondary tumors (FTV2nd_tumor, n = 3).

All clinical investigations were conducted according to Declaration of Helsinki principles. All procedures were performed in compliance with the regulations of the responsible local authorities and the local institutional review board waived the requirement for additional approval owing to the retrospective character of this study (23-1254-retro). All patients gave written informed consent to PET imaging.

Descriptive statistics were used to present patient characteristics and results. For statistical analysis, a Wilcoxon matched-pairs signed-rank test was performed to detect significant differences between continuous variables. A p-value of less than 0.05 (p < 0.05) was considered significant. To measure the strength of the correlation, Pearson’s correlation coefficient was used. All statistical analyses were performed using SPSS-Statistics v.28.0.1.1 (IBM, Armonk, NY, USA).

Target volume delineation

Varian medical systems (Siemens Healthineers, Erlangen, Germany) treatment planning system (TPS) ‘Eclipse’ was used for target volume delineation and matching of the present imaging. By ensuring that the positioning for scanning of all patients was the same as that used for subsequent radiotherapy, we were able to achieve exact matching of the images. Radiotherapy reference points were marked on the patients’ skin.

For comparison of target volume delineations, two GTVs were created independently. First, a GTV based on FDG PET/CT was created and second, a GTV based on either FAPI-46 PET/CT alone or on base of the combination of both scans (FAPI-46/dual-tracer PET/CT) was set up. For PET/CT based contouring, a window of SUVmax 0–5 was employed. GTVs for oesophageal cancer were contoured according to the practical guideline of the American expert consensus group for contouring of esophageal and gastroesophageal junction cancer [8] or according to the European target volume delineation atlas for the neoadjuvant radiation treatment [9] and approved by a group of board-certified radiation oncologists.

Potential pitfalls or known benign sites of FAPI-uptake were taken into consideration when interpreting discrepant tumor areas (dual-tracer or FAPI-46 + but FDG-). Moreover, lesions were correlated with CT-imaging in favour to confirm possible pathological findings of PET/CT scans and to safely ensure pathological interpretation of PET-positive lesions. Upstaging or treatment decisions were based on the collected information gained from all used diagnostic methods. Indeed, all such decisions were discussed in multidisciplinary meetings with medical oncologists, gastroenterologists, surgeons, physicians for nuclear medicine and radiation oncologists in consensus by taking the results of clinical examination, EUS, PET/CT imaging and CT imaging into consideration.

Tumor staging and change of treatment after PET

In esophageal cancer, endobronchial ultrasound examination (EUS) is the accepted standard to assess T-stage (depth of invasion), so it was not determined in the PET-scans. For N-staging, we first defined the pre-PET (CT-based) N-stage, then counted PET-positive lymph nodes in both FDG PET/CT and FAPI-46/dual-tracer PET/CT and classified them as following: 1–2 positive regional lymph nodes: cN1, 3–6 positive regional lymph nodes: cN2, > 7 positive regional lymph nodes: cN3, according to the 8th edition AJCC/UICC TNM-staging for esophageal cancer [10]. In M-staging, we defined a pretherapeutic M-stage and compared it to our findings in the PET scans (cM0: no distant metastasis, cM1a: distant lymph nodes (cervical/coeliac), cM1b all other distant metastasis) [10]. Findings with a potential impact on therapy regimen were discussed in the interdisciplinary tumor board meetings. Patients with lesions that remained unclear (e.g. one soft tissue metastasis in a patient’s gluteal muscle) had to receive a biopsy of the suspicious lesion. To better understand the impact of FAPI-46/dual-tracer PET/CT in radiotherapy (RT) planning, we categorized our findings into “minor change” meaning any change (usually enlargement) of RT-field after PET due to more lymph nodes or different lymph node regions that need to be covered by the RT field and “major changes”, meaning every change of treatment regimen (e.g. from neoadjuvant to definitive chemoradiation or from curative to palliative treatment).

Immunohistochemistry

From our cohort, biopsy specimens of the primary esophageal tumor (squamous cell carcinoma (SCC) and adenocarcinoma (AC)) were selected for further analysis. Whole slides were automatically stained with the Leica BOND-MAX (Leica Biosystems, Wetzlar, Germany) for FAP (Abcam, clone EPR20021) as previously described and whole slide images were digitized with the with the Aperio GT 450 DX (Leica Biosystems, Wetzlar, Germany). Analysis was carried out in QuPath v0.4.3 as previously described [11]. Tumor and tumor stromal areas were annotated. Positive cell detection was performed under the following settings: setup parameters: detection image optical density sum, requested pixel size 1 μm; nucleus parameters: background radius 8 μm, median filter radius 0 μm, sigma 2 μm, minimum area 12 µm2, maximum area 400 µm2; intensity parameters: threshold 0.1, max background intensity 2; and cell parameters: cell expansion 5 μm, cell nucleus included. Number of positive cells and H-Scores were calculated in QuPath for all available cases.

Results

Patient cohort

For this study, PET/CTs of 25 male and 7 female patients between 36 and 84 years (mean 64.6 ± 12.3 years) were evaluated. Patients had histologically confirmed EC prior to imaging and were referred by the local multidisciplinary tumor board for neoadjuvant or definitive chemoradiation. Majority of patients had grade 2 (G2) tumors (59.4%) and were active (43.8%) or former (34.4%) smokers. Histopathologically, the distribution was about the same between SCC (53.1%) and adenocarcinoma (46.9%). For further patient characteristics and an example of a patient with distal EC who underwent both FDG and FAPI-46/dual-tracer PET/CT, see Table 1; Fig. 1.

Fig. 1
figure 1

Patient with newly diagnosed distal esophageal cancer

49-year-old patient with newly diagnosed distal esophageal cancer (adenocarcinoma, G2). The primary tumor showed strong tracer uptake in the FAPI-46/dual-tracer PET/CT (A = coronal fusion, B = Maximum Intensity Projection (MIP)), whereas it shows smaller tracer uptake in FDG PET/CT (C = coronal fusion, same layer as A, D = MIP). White arrow indicating tumor. There was no sight of nodal or distant metastasis

Full size image

All 32 patients received FDG PET/CT and FAPI-46 PET/CT prior to radiotherapy. Nine out of 32 patients (28%) received the scans on two different days, but, due to improvement of our protocol, after the first 7 patients we decided to continue PET staging according to the dual-tracer protocol and only performed two separate scans, when we faced logistical difficulties in two patients afterwards. PET/CT examinations were performed without any records of side effects.

To define the impact of FAPI-46 PET/CT in clinical use, we decided to analyze the PET scans from a nuclear medicine (biodistribution), radiation oncology and histopathological perspective.

PET/CT scan parameters and lesion detection in both scans

All patients had biopsy-proven esophageal cancer with a location in the gastroesophageal junction in 37,5% (12/32). Three patients (9,3%) were suspected to have an additional tumor in the stomach. In one case, it was not possible to distinguish between a (large) lymph node metastasis in proximity to the stomach and a gastric tumor (secondary localisation).

All primary esophageal tumors (n = 32, 100%) could be identified in FAPI-46-PET/CT (both single and dual-tracer). In all patients investigated, we were able to detect 24 metastases (lymph node: 17, liver: 2, gastric: 3, bone: 1, adrenal: 1, see Table 2). Two mediastinal lymph node metastases were only visible in FAPI-46 (dual-tracer), not in FDG. In contrast, one lymph node metastasis with projection to the supraclavicular region has shown FDG-uptake with no tracer accumulation in the FAPI-46 PET/CT.

In some patients, we observed unspecific tracer accumulation in FAPI-46 PET/CT around joints (e.g. hip and shoulder), intramuscularly and in tendons. These findings were carefully checked and could be evaluated as benign findings (degenerative joint changes, a bursitis or tendinopathy). In one patient, FAPI-46 PET/CT showed a strong liver enhancement and hepatomegaly. Based on the patient’s history of alcohol consumption and in correlation with elevated liver enzymes, we assumed the presence of liver cirrhosis and arranged for further investigation (ultrasound). Liver cirrhosis was confirmed.

Functional tumor volumes (FTVs) in FDG PET/CT vs. FAPI-46 PET/CT (single/dual-tracer)

Automated FTV measurements and BP-adjusted FTV measurements were possible for all PET/CT scans (FDG and FAPI-46). In two patients, primary tumors could not be detected in the FDG scans with SyngoVia Lesion Scout due to lack of tracer accumulation. A total of seven metastases (visible lesions on FDG-PET/CT) could not be measured by the SyngoVia Lesion Scout (vs. one FAPI-46-positive lesion, that could not be detected by SyngoVia Lesion Scout).

Median FTVs of suspicious lesions (primary tumor and metastatic lesions) were larger in FAPI-46-PET/CT (single or dual-tracer) than in FDG-PET/CT alone (p < 0.001). FTVs were 58.09 ± 76.20 ml and 77.04 ± 84.03 ml in FDG-PET/CT and FAPI-46 PET/CT (single and dual-tracer), respectively (see Table 3; Fig. 2).

Table 3 Functional tumor volumes (FTVs)
Full size table
Fig. 2
figure 2

Functional tumor volumes (FTVs)

Boxplot diagrams indicating functional tumor volumes (FTVs), A: total FTVs (primary tumors and metastasis), B: FTVs in primary tumors only, C: FTVs in metastasis only, D: Comparison of tumorous lesions (n), in which measured tumor volumes were larger in FDG (dark grey) vs. in FAPI-46 PET (light grey). FDG = fluorodeoxy-D-glucose, FAPI = fibroblast activation protein inhibitor

Full size image

In primary tumors, FTV in FDG-PET/CT was 32.82 ± 49.71 ml vs. 49.17 ± 63.67 ml on FAPI-46 PET/CT (single and dual-tracer) (p = 0.002) (see Table 3; Fig. 2). Contrary to this, in metastasis, FTV was 40.03 ± 82.03 ml on FDG-PET/CT vs. 33.69 ± 74.64 ml in FAPI-46 PET/CT (smaller in FAPI-46, p = 0.008).

GTVs measured on FAPI-46/dual-tracer PET/CT vs. FDG PET/CT

Target volumes were defined using VARIAN Eclipse software. Patients in this cohort were treated with neoadjuvant or definitive chemoradiation for esophageal cancer. We performed GTV measurements in all patients with FDG and FAPI-46 single- and dual-tracer PET/CT. All tumorous lesions (primary tumor, metastatic lymph nodes and, if present, distant metastasis with increased tracer accumulation and CT correlate) were contoured as GTV. In two patients, contouring GTV on basis of the FDG PET/CT was impaired by low FDG-accumulation compared to background tissue. Even when acknowledging endoscopic examinations and contrast-enhanced CT, insecurities about GTV delineation remained and local spread could preferably be determined in FAPI-46/dual-tracer PET/CT. GTVs were significantly larger in FAPI-46/dual-tracer scans compared to FDG PET/CT (mean 99.0 ml, SD 98.3 vs. mean 80.3 ml, SD 84.4, respectively (p < 0.001), see Fig. 3).

Fig. 3
figure 3

Gross Tumor Volumes (GTVs)

Gross Tumor Volume (GTV) delineation (ml) according to FDG (green) and FAPI-46/dual-tracer PET/CT (yellow). All tumorous lesions (primary tumor, metastatic lymph nodes and, if present, distant metastasis with increased tracer accumulation and CT correlate) were contoured as GTV.

Full size image

TNM-Staging and change of treatment

Primary tumor was detected in all FAPI-46/dual-tracer scans and in 30/32 (93%) of FDG scans. Compared to the initial staging CT scan, 12/32 patients (38%) were upstaged in nodal status after the combination of FDG and FAPI-46 PET scans. 10/12 lesions were equally visible in both modalities (FDG and FAPI-46/dual-tracer-PET). FAPI-46/dual- tracer PET/CT led to changes in N-stage in 12/32 patients. Three metastatic lymph nodes were visible in FAPI-46/dual-tracer only. PET scans revealed new distant metastasis in 2/32 (6%) patients in the PET with FAPI-46: one patient with suspicion of liver metastasis and one patient with suspicion of a soft tissue metastasis in the right iliopsoas muscle. We decided to perform liver MRI to confirm metastasis and a biopsy from the metastatic region in the other patient’s iliopsoas muscle. Unfortunately, patient showed to have metastasis of esophageal cancer (adenocarcinoma), so, in both cases, we changed treatment regimen to palliative chemotherapy.

Our findings led to larger RT fields (“minor change”) in 5/32 patients (16%) and changed treatment regimen (“major change”) in 3/32 patients (9%). Figure 4 gives an overview on the changes of cN/cM-stages according to the PET modality and its impact on treatment (changes of management). Minor treatment changes consisted of enlargement or adaption of the RT field, reasons for major changes was newly diagnosed M1-stiuation (liver and soft tissue metastasis, see above, and one patient with widespread nodal metastasis that was considered unsuitable for surgery or definitive chemoradiation). These patients were treated with palliative chemotherapy.

Fig. 4
figure 4

Changes in N-/M-staging after FAPI-46/dual-tracer PET/CT and changes of treatment

Changes in N-/M-staging and changes of treatment, A: nodal status, box on the left: N-stage (0–3) according to initial CT staging, box on the right: N-stages (0–3) after FAPI-46/dual-tracer PET/CT; colored lines indicate stage migration B: M-stage, left box: M-stage according to CT-staging, right box: M-stage according to FAPI-46/dual-tracer PET/CT; C: changes of treatment, “major”: change of treatment regimen (e.g. from curate to palliative), “minor”: changes in RT-field (enlargement/inclusion of nodal areas after FAPI-46/dual-tracer PET/CT). FAPI = Fibroblast activation protein inhibitor

Full size image

Histopathology

We accessed as many specimens as possible for secondary IHC (FAP staining) of the primary tumor tissue. We obtained 14/32 samples (43% of all patients) and observed heterogenous FAP-positivity in all specimen (between 7 and 45% of cells, IHC scoring (H-score) mean 36.3 (SD 24.6)). We correlated FAP positivity to the tumors’ CRmax rates but, in our small cohort, there was no correlation between high FAP-expression in the tissue and high FAP tracer uptake in the PET scans. An example of FAP-staining and correlation between FAP-positivity of cells (FPC) and CRmax rates is demonstrated in Fig. 5.

Fig. 5
figure 5

Tumor IHC staining and correlation between FAP-positive in cells (IHC) and FAPI-46/dual-tracer uptake (PET/CT)

Patient with distal esophageal cancer, A: HE-staining of primary tumor, B: positive FAP-IHC of the same specimen, C: Maximum intensity projection (MIP) with FAPI-46/dual-tracer PET-positive tumor in projection on the distal esophagus, D: Correlation of CRmax (FAPI-46/dual-tracer PET/CT) and FAP-positive cells (“fpc”, in %) in the IHC

Full size image

Discussion

We report first data on the use of PET with FAPI-46 prior to radiotherapy. FAP has been shown to be overexpressed by cancer-associated fibroblasts (CAFs) in multiple epithelial cancers and other types of cancer and has been described for esophageal cancer before. Current literature is focused on FAP expression in epithelial cancers and there is limited data on FAP expression in adenocarcinoma or other histologies. In our cohort, more than half (53%) of patients had adenocarcinoma, with all primary tumors being FAP-positive. Of the tumors with secondary FAP-staining, 4/14 (28,6%) were adenocarcinomas and 71,5% (10/14) SCCs. Probably due to the small sample size, we were not able to detect a trend towards higher or lower FAP-expression in one or the other histological subtype. Prior studies, including a meta-analysis which evaluated multiple cancer types, found that high expression of FAP may be associated with poor outcomes [12]. According to the authors, this applies particularly, if FAP overexpression is found in the tumor cells rather than the stroma. FAP IHC is simple and inexpensive to use, so in the future it may be possible to stratify patients wo will benefit from FAP-diagnostics or FAP-treatment based on the IHC of the tumor biopsy. Although in our analysis we could not see a correlation between histopathology and PET scan, other groups were able to describe a correlation between positive FAP-staining in IHC and stronger FAP expression in the PET scan [13]. There is preliminary data supporting FAPI-Radioligand therapy (radiotheranostic approach) which has been applied in different tumor entities, mainly in sarcoma, but also in pancreatic cancer [14, 15].

Clinical studies comparing imaging with FDG versus FAPI PET/CT for various types of cancer are emerging and hint at a superior diagnostic efficacy of FAPI in diagnosing primary and metastatic lesions in patients [16]. However, these results should be regarded as preliminary and high-level evidence is still lacking. At present, special caution is required when upstaging a patient based on FAPI-imaging alone since there are known to be various benign causes of uptake (like benign tumors; fibrotic, degenerative or inflammatory diseases) [17,18,19]. At present, FAPI radiopharmaceuticals lack approval and their access may therefore be restricted to few clinical centers.

Recent data on external beam dose escalation (“boost”) in EC showed that dose application higher than 50 Gy is not beneficial for patients as it is associated with higher mortality due to treatment related toxicity [20,21,22]. In other solid tumors, such as non-small cell lung cancer (NSCLC), PET-based RT planning became standard [23]. Contrary to that, in EC, large RT fields with extended clinical target volume (CTV) and planning target volume (PTV) margins are considered standard of care and radiation of non-metastatic lymph nodes occurs (e.g. non-affected LN in proximity to affected LNs), even if PET/CT was performed prior to radiotherapy. However, there is increasing evidence that elective lymph node irradiation, irrespective of the exact tumor entity, may impair the immune response, potentially leading to worse treatment response after RT, chemotherapy or immunotherapy [24, 25]. A future approach could be PET-guided dose escalation (omitting RT in PET-negative areas and reducing GTV-to-CTV and CTV-to-PTV margins, by doing so: saving dose in organs at risk and no elective nodal irradiation). In NSCLC, high RT doses at the base of the heart were shown to correlate with worse overall survival [26]. Due to similar anatomical location, the strategy of cardiac dose sparing may be similarly beneficial to patient receiving esophageal RT. On the other hand, EC may need larger irradiation fields due to diffuse intra-esophageal growth patterns and discontinuous LN-spread (e.g. skip lesions in the esophageal mucosa) [27]. In most cases, there is no orderly outflow of lymph from the primary esophageal tumor into a first LN (principle of “sentinel node”, as well-established in breast cancer), but multiple level LN affection as well as skip metastasis in mediastinal lymph nodes are described [28]. Here, “PET-only” RT planning involves a risk of a higher rate of nodal tumor recurrence or progression in (initially) PET-negative areas. There is demand for prospective studies on PET planning (FDG and FAPI/dual-tracer) for EC in the neoadjuvant and definite setting. At present, special caution is required when upstaging a patient based on FAPI-46-imaging alone, since, as with FDG-imaging, there are known to be various benign causes of uptake: benign FAPI uptake is reported in to degenerative and traumatic bone and joint lesions, arthritis, but also in inflammation, infection (e.g. reactive lymph nodes), fibrosis and scar tissues, representing potential pitfalls in cancer staging [29].

Conclusion

We report first data on the use of PET with FAPI-46 for patients EC, who are scheduled to receive RT. Tumor uptake was high and not depending on FAP-expression in TME. Further, FAPI-46 PET had relevant impact on management in this setting (led to minor or major changes of treatment in one fourth (25%) of patients). Our data calls for prospective evaluation of FAPI-46 PET to improve clinical outcomes of EC. Still, false-positive FAPI-46 PET/CT findings should be considered.

Data availability

No datasets were generated or analysed during the current study.

References

  1. [Hrsg. ] RK-IHudGdeKiDeV. Krebs in Deutschland für 2015/2016. 12. Ausgabe. 2019.

  2. Obermannova R, Alsina M, Cervantes A, Leong T, Lordick F, Nilsson M, et al. Oesophageal cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol. 2022;33(10):992–1004.

    Article  CAS  PubMed  Google Scholar 

  3. Choi J, Kim SG, Kim JS, Jung HC, Song IS. Comparison of endoscopic ultrasonography (EUS), positron emission tomography (PET), and computed tomography (CT) in the preoperative locoregional staging of resectable esophageal cancer. Surg Endosc. 2010;24(6):1380–6.

    Article  PubMed  Google Scholar 

  4. Kratochwil C, Flechsig P, Lindner T, Abderrahim L, Altmann A, Mier W, et al. (68)Ga-FAPI PET/CT: Tracer Uptake in 28 different kinds of Cancer. J Nucl Med. 2019;60(6):801–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Liu H, Yang X, You Z, Hu Z, Chen Y. Role of 68Ga-FAPI-04 PET/CT in the initial staging of Esophageal Cancer. Nuklearmedizin. 2023;62(1):38–44.

    Article  PubMed  Google Scholar 

  6. Roth KS, Voltin CA, van Heek L, Wegen S, Schomacker K, Fischer T, et al. Dual-Tracer PET/CT protocol with [(18)F]-FDG and [(68)Ga]Ga-FAPI-46 for Cancer Imaging: a proof of Concept. J Nucl Med. 2022;63(11):1683–6.

    CAS  PubMed  Google Scholar 

  7. Wegen S, Weindler J, Voltin CA, van Heek L, Schomacker K, Fischer T et al. Dual-tracer PET/CT protocol with [(18)F]FDG and [(68)Ga]Ga-FAPI-46 outperforms single-tracer PET/CT with [(18)F]FDG in different cancer types, resulting in larger functional and gross tumor volume. Strahlenther Onkol. 2023.

  8. Wu AJ, Bosch WR, Chang DT, Hong TS, Jabbour SK, Kleinberg LR, et al. Expert Consensus Contouring guidelines for Intensity Modulated Radiation Therapy in Esophageal and Gastroesophageal Junction Cancer. Int J Radiat Oncol Biol Phys. 2015;92(4):911–20.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Thomas M, Mortensen HR, Hoffmann L, Moller DS, Troost EGC, Muijs CT, et al. Proposal for the delineation of neoadjuvant target volumes in oesophageal cancer. Radiother Oncol. 2021;156:102–12.

    Article  CAS  PubMed  Google Scholar 

  10. Rice TW, Patil DT, Blackstone EH. 8th edition AJCC/UICC staging of cancers of the esophagus and esophagogastric junction: application to clinical practice. Ann Cardiothorac Surg. 2017;6(2):119–30.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Knipper K, Damanakis AI, Zhao Y, Bruns CJ, Schmidt T, Popp FC et al. Specific subtypes of Carcinoma-Associated fibroblasts are correlated with worse survival in Resectable Pancreatic Ductal Adenocarcinoma. Cancers (Basel). 2023;15(7).

  12. Liu F, Qi L, Liu B, Liu J, Zhang H, Che D, et al. Fibroblast activation protein overexpression and clinical implications in solid tumors: a meta-analysis. PLoS ONE. 2015;10(3):e0116683.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Spektor AM, Gutjahr E, Lang M, Glatting FM, Hackert T, Pausch T, et al. Immunohistochemical FAP expression reflects (68)Ga-FAPI PET Imaging properties of low- and high-Grade Intraductal Papillary Mucinous neoplasms and pancreatic ductal adenocarcinoma. J Nucl Med. 2024;65(1):52–8.

    Article  CAS  PubMed  Google Scholar 

  14. Ferdinandus J, Costa PF, Kessler L, Weber M, Hirmas N, Kostbade K, et al. Initial clinical experience with (90)Y-FAPI-46 Radioligand Therapy for Advanced-Stage Solid tumors: a Case Series of 9 patients. J Nucl Med. 2022;63(5):727–34.

    PubMed  PubMed Central  Google Scholar 

  15. Fendler WP, Pabst KM, Kessler L, Fragoso Costa P, Ferdinandus J, Weber M, et al. Safety and efficacy of 90Y-FAPI-46 Radioligand Therapy in patients with Advanced Sarcoma and other Cancer entities. Clin Cancer Res. 2022;28(19):4346–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Chen H, Pang Y, Wu J, Zhao L, Hao B, Wu J, et al. Comparison of [(68)Ga]Ga-DOTA-FAPI-04 and [(18)F] FDG PET/CT for the diagnosis of primary and metastatic lesions in patients with various types of cancer. Eur J Nucl Med Mol Imaging. 2020;47(8):1820–32.

    Article  PubMed  Google Scholar 

  17. Lindner T, Altmann A, Kraemer S, Kleist C, Loktev A, Kratochwil C et al. Design and development of (99m)tc labeled FAPI-tracers for SPECT-imaging and 188Re therapy. J Nucl Med. 2020.

  18. Hotta M, Rieger AC, Jafarvand MG, Menon N, Farolfi A, Benz MR, et al. Non-oncologic incidental uptake on FAPI PET/CT imaging. Br J Radiol. 2023;96(1142):20220463.

    Article  PubMed  Google Scholar 

  19. Qin C, Song Y, Liu X, Gai Y, Liu Q, Ruan W, et al. Increased uptake of (68)Ga-DOTA-FAPI-04 in bones and joints: metastases and beyond. Eur J Nucl Med Mol Imaging. 2022;49(2):709–20.

    Article  CAS  PubMed  Google Scholar 

  20. Hulshof M, Geijsen ED, Rozema T, Oppedijk V, Buijsen J, Neelis KJ, et al. Randomized study on dose escalation in definitive chemoradiation for patients with locally Advanced Esophageal Cancer (ARTDECO Study). J Clin Oncol. 2021;39(25):2816–24.

    Article  CAS  PubMed  Google Scholar 

  21. Cooper JS, Guo MD, Herskovic A, Macdonald JS, Martenson JA Jr., Al-Sarraf M, et al. Chemoradiotherapy of locally advanced esophageal cancer: long-term follow-up of a prospective randomized trial (RTOG 85– 01). Radiation Therapy Oncol Group JAMA. 1999;281(17):1623–7.

    CAS  Google Scholar 

  22. Minsky BD, Pajak TF, Ginsberg RJ, Pisansky TM, Martenson J, Komaki R, et al. INT 0123 (Radiation Therapy Oncology Group 94– 05) phase III trial of combined-modality therapy for esophageal cancer: high-dose versus standard-dose radiation therapy. J Clin Oncol. 2002;20(5):1167–74.

    Article  CAS  PubMed  Google Scholar 

  23. Nestle U, Schimek-Jasch T, Kremp S, Schaefer-Schuler A, Mix M, Kusters A, et al. Imaging-based target volume reduction in chemoradiotherapy for locally advanced non-small-cell lung cancer (PET-Plan): a multicentre, open-label, randomised, controlled trial. Lancet Oncol. 2020;21(4):581–92.

    Article  CAS  PubMed  Google Scholar 

  24. Marciscano AE, Ghasemzadeh A, Nirschl TR, Theodros D, Kochel CM, Francica BJ, et al. Elective nodal irradiation attenuates the combinatorial efficacy of Stereotactic Radiation Therapy and Immunotherapy. Clin Cancer Res. 2018;24(20):5058–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Buchwald ZS, Nasti TH, Lee J, Eberhardt CS, Wieland A, Im SJ et al. Tumor-draining lymph node is important for a robust abscopal effect stimulated by radiotherapy. J Immunother Cancer. 2020;8(2).

  26. Craddock M, Nestle U, Koenig J, Schimek-Jasch T, Kremp S, Lenz S, et al. Cardiac function modifies the impact of Heart Base dose on survival: a voxel-wise analysis of patients with Lung Cancer from the PET-Plan trial. J Thorac Oncol. 2023;18(1):57–66.

    Article  CAS  PubMed  Google Scholar 

  27. Hagens ERC, van Berge Henegouwen MI, Gisbertz SS. Distribution of Lymph Node Metastases in Esophageal Carcinoma patients undergoing upfront surgery: a systematic review. Cancers (Basel). 2020;12(6).

  28. Chen J, Liu S, Pan J, Zheng X, Zhu K, Zhu J, et al. The pattern and prevalence of lymphatic spread in thoracic oesophageal squamous cell carcinoma. Eur J Cardiothorac Surg. 2009;36(3):480–6.

    Article  PubMed  Google Scholar 

  29. Bentestuen M, Al-Obaydi N, Zacho HD. FAPI-avid nonmalignant PET/CT findings: an expedited systematic review. Semin Nucl Med. 2023;53(5):694–705.

    Article  PubMed  Google Scholar 

Download references

Funding

Open Access funding enabled and organized by Projekt DEAL.

Author information

Authors and Affiliations

  1. Department of Radiation Oncology, Cyberknife and Radiotherapy, Faculty of Medicine, University Hospital Cologne, Cologne, Germany

    Simone Wegen, Karina Claus, Philipp Linde, Johannes Rosenbrock & Maike Trommer

  2. Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany

    Simone Wegen, Karina Claus, Philipp Linde, Johannes Rosenbrock, Maike Trommer, Thomas Zander & Armin Tuchscherer

  3. Department I of Internal Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany

    Thomas Zander & Armin Tuchscherer

  4. Department of General, Visceral, Cancer and Transplantation Surgery, Faculty of Medicine, with University Hospital Cologne, Cologne, Germany

    Christiane Bruns, Hans Anton Schlößer & Wolfgang Schröder

  5. Institute of Pathology, Faculty of Medicine, University Hospital Cologne, Cologne, Germany

    Marie-Lisa Eich

  6. Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany

    Thomas Fischer, Klaus Schomäcker, Alexander Drzezga, Carsten Kobe, Katrin Sabine Roth & Jasmin Josefine Weindler

  7. Institute of Neuroscience and Medicine, Molecular Organization of the Brain, Forschungszentrum Jülich, INM-2, Cologne, Germany

    Alexander Drzezga

  8. Department of Radiation Oncology, Olivia Newton-John Cancer Wellness & Research Centre, Austin Health, Melbourne, Australia

    Maike Trommer

  9. Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany

    Hans Anton Schlößer

Authors
  1. Simone Wegen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Karina Claus
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Philipp Linde
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Johannes Rosenbrock
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Maike Trommer
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Thomas Zander
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Armin Tuchscherer
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Christiane Bruns
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Hans Anton Schlößer
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Wolfgang Schröder
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Marie-Lisa Eich
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Thomas Fischer
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Klaus Schomäcker
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Alexander Drzezga
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Carsten Kobe
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Katrin Sabine Roth
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Jasmin Josefine Weindler
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

SW, JJW, KC, KSR and MLE collected data and drafted the manuscript. JJW, KSR and CK interpreted imaging data, SW and KC delineated GTVs. PL, JR, TZ, AT, CB, HS and WS participated in multidisciplinary treatment discussions after PET-staging as part of the MDT. TF and KS were involved in synthesis of FAPI-46. All authors carefully revised and approved the final version of the manuscript.

Corresponding author

Correspondence to Simone Wegen.

Ethics declarations

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent: Informed consent to undergo imaging and radiotherapy was obtained from all individual participants included in the study. The local institutional review board waived requirement to obtain consent for retrospective data analysis (23-1254-retro).

Conflicts of interest

This study has been supported by SOFIE by the provision of precursors for [68Ga]Ga-FAPI-46 synthesis. AD discloses research support from Siemens Healthineers, Life Molecular Imaging, GE Healthcare, AVID Radiopharmaceuticals, SOFIE and Eisai; Speaker Honorary and/or Advisory Boards fees from Siemens Healthineers, Sanofi, GE Healthcare, Biogen, Novo Nordisk; Invicro Stock from Siemens Healthineers, Lantheus Holding and a patent pending for 18F-PSMA7 (PSMA-PET imaging tracer). HS discloses funding for research by Astra Zeneca and Tabby therapeutics and honoraries for advisory boards from BMS. All others have nothing to disclose.

Competing interests

Disclosure of potential conflicts of interest: This study has been supported by SOFIE by the provision of precursors for [68Ga]Ga-FAPI-46 synthesis. AD discloses research support from Siemens Healthineers, Life Molecular Imaging, GE Healthcare, AVID Radiopharmaceuticals, SOFIE and Eisai; Speaker Honorary and/or Advisory Boards fees from Siemens Healthineers, Sanofi, GE Healthcare, Biogen, Novo Nordisk; Invicro Stock from Siemens Healthineers, Lantheus Holding and a patent pending for 18 F-PSMA7 (PSMA-PET imaging tracer). HS discloses funding for research by Astra Zeneca and Tabby therapeutics and honoraries for advisory boards from BMS. All others have nothing to disclose.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wegen, S., Claus, K., Linde, P. et al. Impact of FAPI-46/dual-tracer PET/CT imaging on radiotherapeutic management in esophageal cancer. Radiat Oncol 19, 44 (2024). https://doi.org/10.1186/s13014-024-02430-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13014-024-02430-9

Keywords

Radiation Oncology

ISSN: 1748-717X

Contact us