Comparison of integrin αvβ3 expression with 68Ga-NODAGA-RGD PET/CT and glucose metabolism with 18F-FDG PET/CT in esophageal or gastroesophageal junction cancers
European Journal of Hybrid Imaging volume 7, Article number: 3 (2023)
The primary aims of this study were to compare in patients with esophageal or esophagogastric junction cancers the potential of 68Ga-NODAGA-RGD PET/CT with that of 18F-FDG PET/CT regarding tumoral uptake and distribution, as well as histopathologic examination.
Ten 68Ga-NODAGA-RGD and ten 18F-FDG PET/CT were performed in nine prospectively included participants (1 woman; aged 58 ± 8.4 y, range 40–69 y). Maximum SUV (SUVmax) and metabolic tumor volumes (MTV) were calculated. The Mann–Whitney U test and Spearman correlation analysis (ρ) were used.
68Ga-NODAGA-RGD PET/CT detected positive uptake in 10 primary sites (8 for primary tumors and 2 for local relapse suspicion), 6 lymph nodes and 3 skeletal sites. 18F-FDG PET/CT detected positive uptake in the same sites but also in 16 additional lymph nodes and 1 adrenal gland. On a lesion-based analysis, SUVmax of 18F-FDG was significantly higher than those of 68Ga-NODAGA-RGD (4.9 [3.7–11.3] vs. 3.2 [2.6–4.2] g/mL, p = 0.014). Only one participant showed a higher SUVmax in an osseous metastasis with 68Ga-NODAGA-RGD as compared to 18F-FDG (6.6 vs. 3.9 g/mL). Correlation analysis showed positive correlation between 18F-FDG and 68Ga-NODAGA-RGD PET parameters (ρ = 0.56, p = 0.012 for SUVmax, ρ = 0.78, p < 0.001 for lesion-to-background ratios and ρ = 0.58, p = 0.024 for MTV). We observed that 18F-FDG uptake was homogenous inside all the confirmed primary sites (n = 9). In contrast, 68Ga-NODAGA-RGD PET showed more heterogenous uptake in 6 out of the 9 confirmed primary sites (67%), seen mostly in the periphery of the tumor in 5 out of the 9 confirmed primary sites (56%), and showed slight extensions into perilesional structures in 5 out of the 9 confirmed primary sites (56%).
In conclusion, 68Ga-NODAGA-RGD has lower potential in the detection of esophageal or esophagogastric junction malignancies compared to 18F-FDG. However, the results suggest that PET imaging of integrin αvβ3 expression may provide complementary information and could aid in tumor diversity and delineation.
Trial registration: Trial registration: NCT02666547. Registered January 28, 2016—Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT02666547.
Angiogenesis is defined as an active process, which regulates the growth of new blood vessels from a pre-existing vascular bed and exerts a prominent role in promoting tumor growth, progression, and metastasis. Integrin αvβ3 is highly expressed on activated endothelial cells of tumor neovasculature and has a key role in tumor angiogenesis (Hood and Cheresh 2002). Arginine-glycine-aspartate (RGD) peptides have a high binding affinity and specificity with integrin αvβ3. As a result, a variety of RGD-based positron emission tomography (PET) imaging agents have been developed to visualize integrin αvβ3 expression (Chen et al. 2016; Dietz et al. 2022). NODAGA-RGDyK, (cyclo[L-arginylglycyl-L-alpha-aspartyl-D-tyrosyl-N6-([4,7-bis(carboxymethyl)octahydro-1H-1,4,7-triazonin-1-yl]acetyl])-L-lysyl]), is a recently developed RGD peptide designed for PET imaging of αvβ3 integrin expression (Jeong et al. 2008). The component NODAGA is a derivate of the NOTA system, which has no influence on receptor-specific binding and possesses high binding properties for radiometals with a ion radius like 68Ga (Knetsch et al. 2011). 68Ga-NODAGA-RGDyk has favorable biokinetics and safety profile (Buchegger et al. 2011; Gnesin et al. 2017).
Esophageal cancer is the seventh most common cancer worldwide and accounts for more than half a million deaths each year (Bray et al. 2018). The incidence of esophageal squamous cell carcinoma (SCC), the most common histologic type, has been stable, whereas there is an increasing number of esophageal and esophagogastric junction (EGJ) adenocarcinomas in Western countries (Arnold et al. 2020). Angiogenesis was identified as a poor prognosis marker in esophageal cancer (Lurje et al. 2010). Ramucirumab, a vascular endothelial growth factor-receptor 2 (VEGFR-2) antibody, as a single agent or in combination with paclitaxel, is included as an option for second-line or subsequent therapy for patients with metastatic disease (Ajani et al. 2019; Fuchs et al. 2014). However, more data are needed to ascertain whether the addition of such anti-angiogenic therapy to other first-line chemotherapy regimens can improve overall survival (Ajani et al. 2019; Fuchs et al. 2019; Wilke et al. 2014). Currently, there are no validated biomarkers to select patients for anti-angiogenic therapy. Thus, imaging angiogenesis could be crucial to prescreen patients who will benefit from anti-angiogenic therapy.
We hypothesized that the molecular imaging visualization of integrin αvβ3 expression using 68Ga-NODAGA-RGD PET/CT could be valuable in exploring esophageal or EGJ malignancies. The primary aims of this study were, first, to compare in patients with esophageal or EGJ cancers the potential of 68Ga-NODAGA-RGD PET/ CT with that of 18F-FDG PET/CT regarding tumoral uptake and distribution, as well as histopathologic examination, and second, to evaluate quantitative functional imaging parameters from 68Ga-NODAGA-RGD PET/CT as potential prognostic markers for disease-free survival (DFS).
This study was approved by the ethics commission Vaud (protocol CER-VD #120/12) and registered at Clinical-Trials.gov (NCT02666547). Each participant signed a written informed consent form. Inclusion criteria consisted of biopsy-proven esophageal or EGJ cancer, age ≤ 85 years, Karnofsky index ≥ 80%, and signed consent form. Exclusion criteria consisted of pregnancy, lactation period, and age < 18 years.
TNMp or TNMyp (yp denotes the pathological stage after neoadjuvant therapy) stages and DFS (times from the date of scans to the first date of disease recurrence or death) were recorded, according to the criteria of the seventh edition of the Cancer Staging Manual of the American Joint Committee on Cancer. Recurrence was defined as the appearance of one or more new lesions confirmed by imaging or by cytologic or pathological evaluation. Pathology or follow-up examinations were assessed as ground truth in correlation with PET scans.
All the enrolled participants underwent 68Ga-NODAGA-RGD and 18F-FDG PET/CT using a single dedicated PET/CT scanner (Discovery 690 TOF; GE Healthcare, Waukesha, WI, USA). The same procedure for both 68Ga-NODAGA-RGD and 18F-FDG PET/CT was used for data acquisition. A pregnancy test was done before the scan in women of childbearing age. Acquisitions were performed with 3 min per bed position. PET data were reconstructed using OSEM (3 iterations, 16 subsets). Vertex to mid-thigh unenhanced CT was acquired for attenuation correction (120 kV, 60 mA, 0.8 s/rotation, pitch 0.9, CTDI 4.54 mGy). The axial resolution was full width at half maximum of 4.7 mm, at 1 cm from the center of the field of view. The mean positron ranges of 18F and of 68Ga are 0.6 mm and 2.9 mm, respectively.
For 68Ga-NODAGA-RGD PET/CT, participants were injected with 68Ga-NODAGA-RGDyk. PET/CT images were acquired 59.6 ± 3.5 (range 57–69) min after intravenous administration of 197.5 ± 19.0 (range 165–218) MBq 68Ga-NODAGA-RGDyk in an antecubital vein followed by 10 mL of 0.9% NaCl solution.
For 18F-FDG PET/CT, participants fasted at least 6 h. Blood glucose levels were checked before 18F-FDG administration and were confirmed to be < 8.3 mmol/L. PET/CT images were acquired 62.4 ± 6.1 (range 55–72) min after intravenous injection of 243.5 ± 54.8 (range 155–360) MBq 18F-FDG in an antecubital vein followed by 10 mL of 0.9% NaCl solution. The time interval between 68Ga-NODAGA-RGD PET/CT and 18F-FDG PET/CT was 4.9 ± 2.6 (range 1–9) days.
PET images were analyzed based on standardized uptake value (SUV) measurements in both data sets (68Ga-NODAGA-RGD and 18F-FDG), using a workstation equipped with dedicated analysis software (Syngo.via, VB30, Siemens Healthineers, Erlangen, Germany). Scans were evaluated by two experienced nuclear medicine physicians (JOP and MD), blinded to participant's clinical and histologic information. Any difference of opinion was resolved by a consensus. Through visual analysis, positive uptake was identified as areas of focal increase in contrast to the surrounding normal tissue. For the calculation of maximum SUV (SUVmax) and of metabolic tumor volumes (MTV), circular regions of interest were drawn around tumor lesions with focally increased uptakes in transaxial slices and automatically adapted to 3-D volumes of interest (VOI) delineated around lesions using 60% SUVmax thresholds. Lesion-to-background ratios were computed. For the definition of the background, 10-mm-radius circular volumes of interest were drawn in the right atrium (blood pool activity), and the SUVmean was recorded.
The locations of the maximum uptake pixel within primary sites were visually identified in both data sets (68Ga-NODAGA-RGD and 18F-FDG), and the distance in millimeter (mm) between them was measured.
Histopathological analysis of tissues obtained from biopsies or resected surgical specimens was based on pathology reports.
The statistical analysis was performed using R version 4.0.3 (R Foundation for Statistical Computing, Vienna, Austria). We assessed the distribution of data with the Shapiro–Wilk test. Continuous parametric variables were expressed as mean ± SD. Nonparametric data were presented as median [interquartile range] and compared using the Mann–Whitney U test. Spearman correlation analysis (ρ) was used to evaluate potential interrelation between tracers uptake parameters. Cox’s proportional hazards regression analysis was used to assess the effects of covariates on survival times. A p value of < 0.05 was considered statistically significant.
In total, ten 68Ga-NODAGA-RGD and ten 18F-FDG PET/CT were performed in nine prospectively included participants (1 woman; aged 58 ± 8.4 y, range 40–69 y). Participant’s characteristics are summarized in Table 1. Six had adenocarcinoma, and three had squamous cell carcinoma.
Previous therapies before the PET evaluation, as well as following therapies after the PET evaluation, are described in Table 2. One participant had an anti-angiogenic therapy (ramucirumab) 44 days before the 68Ga-NODAGA-RGD PET/CT.
Comparison of 68Ga-NODAGA-RGD PET and 18F-FDG PET data
68Ga-NODAGA-RGD PET/CT detected positive uptake in 10 primary sites (8 for primary tumors and 2 for local relapse suspicion), 6 lymph nodes and 3 skeletal sites. 18F-FDG PET/CT detected positive uptake in the same sites but also in 16 additional lymph nodes and 1 adrenal gland. Data from histology (n = 17) or follow-up imaging (n = 19) confirmed malignancies, except for a local relapse suspicion (histology proven esophageal candidiasis). An example of an intense 18F-FDG uptake in a lymph node metastasis but without increased 68Ga-NODAGA-RGD uptake is shown in Fig. 1.
The SUVmax measurements of 68Ga-NODAGA-RGD and 18F-FDG in confirmed lesions are shown in Table 3. On a lesion-based analysis, SUVmax of 18F-FDG were significantly higher than those of 68Ga-NODAGA-RGD (4.9 [3.7–11.3] vs. 3.2 [2.6–4.2] g/mL, p = 0.014). Only one participant showed a higher SUVmax in an osseous metastasis with 68Ga-NODAGA-RGD compared with 18F-FDG (SUVmax 6.6 vs. 3.9 g/mL, Fig. 2). Blood pool activities of 18F-FDG were significantly higher than those of 68Ga-NODAGA-RGD (1.8 [1.7–2.2] vs. 1.2 [1.0–1.2] g/mL, p = 0.001). When lesion-to-background ratios were compared, no significant difference was found between 18F-FDG and 68Ga-NODAGA-RGD (2.6 [1.3–5.9] vs. 2.1 [1.9–4.0], p = 0.9). Correlation analysis showed moderate to good positive correlation between 18F-FDG and 68Ga-NODAGA-RGD PET parameters (ρ = 0.56, p = 0.012 for SUVmax, ρ = 0.78, p < 0.001 for lesion-to-background ratios and ρ = 0.58, p = 0.024 for MTV; Fig. 3).
We incidentally detected a focal increased uptake of 68Ga-NODAGA-RGD in the thyroid, which was absent on the 18F-FDG PET scan. No further investigation could have been done since the participant died 48 days after the 68Ga-NODAGA-RGD PET/CT.
Uptake patterns within primary lesions
The distribution of both tracers within primary sites was different. We observed that 18F-FDG uptake was homogenous inside all the confirmed primary sites (n = 9). In contrast, 68Ga-NODAGA-RGD PET showed more heterogenous uptake in 6 out of the 9 confirmed primary sites (67%), seen mostly in the periphery of the tumor in 5 out of the 9 confirmed primary sites (56%), and showed slight extensions into perilesional structures in 5 out of the 9 confirmed primary sites (56%). An example of these different uptake patterns is shown in Fig. 4.
The median distance between the maximum uptake locations of both scans was 6.5 [4.5–14] mm. This median distance was greater than the PET/CT scanner resolution and the mean positron ranges of 18F and 68Ga.
Effect of pathological tumor status and histologic grade
Both tracers’ SUVmax in primary lesions did not correlate with pathological tumor status (dichotomized by status Tp or Typ ≤ 2 vs. Tp or Typ > 2; 68Ga-NODAGA-RGD, 3.8 [3.2–5.1] vs. 4.6 [3.7–5.0] g/mL; 18F-FDG, 12.1 [10.5–13.6] vs. 16.8 [10.0–17.0] g/mL, p ≥ 0.57 for both).
Both tracers’ SUVmax in primary lesions did not correlate with pathological tumor status (dichotomized by histologic grade 1 or 2 vs. histologic grade 3 or 4; 68Ga-NODAGA-RGD, 3.9 [3.0–5.3] vs. 4.6 g/mL; 18F-FDG, 12.1 [7.7–14.6] vs. 16.8 g/mL, p ≥ 0.5 for both).
Over the 825 ± 623 days [range 48–1786] of follow-up, four participants have experienced disease recurrence and two participants died. The median progression-free survival was 308 days. No 68Ga-NODAGA-RGD uptake measurement in primary lesions turned out to be a prognostic factor for DFS on univariate analysis (SUVmax, HR 95% CI 0.44–2.71, p = 0.8; Lesion-to-background ratio, HR 95% CI 0.62–2.22, p = 0.6; MTV 60%, HR 95% CI 0.83–1.59, p = 0.4). Interestingly, the only participant who showed a lesion with a higher SUVmax with 68Ga-NODAGA-RGD compared with 18F-FDG (Fig. 2) experienced disease recurrence 231 days after the 68Ga-NODAGA-RGD PET/CT study and died 962 days after, during disease progression with fluorouracil, l-leucovorin, and irinotecan chemotherapy. Nevertheless, statistically, the presence of a lesion with higher SUVmax with 68Ga-NODAGA-RGD compared with 18F-FDG did not turn out to be a prognostic factor for DFS on univariate analysis in the current small cohort (HR 95% CI 0.22–20.5, p = 0.5).
We report several notable findings from this prospective preliminary study of 68Ga-NODAGA-RGD PET imaging in esophageal or esophagogastric junction cancers. First, the molecular imaging visualization of integrin αvβ3 expression using 68Ga-NODAGA-RGD PET/CT has lower potential in the detection of esophageal or esophagogastric junction malignancies compared to the visualization of glucose metabolism with 18F-FDG PET/CT. However, 68Ga-NODAGA-RGD PET/CT showed different uptake patterns in most primary lesions than 18F-FDG PET/CT, and 68Ga-NODAGA-RGD uptake was not systematically lower, suggesting that 68Ga-NODAGA-RGD may provide complementary information.
The study of molecular imaging of integrin expression focused on esophageal or EGJ malignancies has not previously been well established in the literature. To the best of our knowledge, the only previous study evaluating RGD imaging on the evaluation of esophageal cancer is a prospective study by Zheng et al. investigating the efficacy of [99mTc]3PRGD2 on standard gamma cameras (Zheng et al. 2019).
Our finding of a lower detection rate of 68Ga-NODAGA-RGD than 18F-FDG imaging in detecting malignancies is not unexpected and is consistent with previous other cancer studies in humans. Zheng et al. found a lower sensitivity than 18F-FDG imaging for detecting small esophageal metastatic lesions in lymph nodes. Beer et al. found a lower sensitivity for lesion detection for 18F-galacto-RGD PET as compared to 18F-FDG PET in eighteen cancer patients, mostly with non-small cell lung cancer (Beer et al. 2008). Haubner et al. demonstrated no increased uptake of 68Ga-NODAGA-RGD in hepatocellular carcinoma compared with the background liver tissue (Haubner et al. 2016). In contrast, 18F-FPPRGD2 showed higher sensitivity and specificity than 18F-FDG in a preliminary PET study on breast cancer by Iagaru et al. (Iagaru et al. 2014).
The finding of a significantly higher uptake with 18F-FDG than with 68Ga-NODAGA-RGD in positive lesions is also not surprising, and consistent with previous studies in humans (Beer et al. 2008; Durante et al. 2020). To explain this difference in tracer uptake, Beer et al. argued that 18F-galacto-RGD binds predominantly to endothelial cells, with a substantially smaller number than the number of FDG-avid tumor cells (Beer et al. 2008). As both 18F-Galacto-RGD and 68Ga-NODAGA-RGD demonstrated similar preclinical results (Pohle et al. 2012), this same theory could be applied to our study. However, a significantly lower tracer uptake does not necessarily mean a lower lesion-to-background ratio. In the present study when lesion-to-background ratios in positive lesions were compared, no significant difference was found between 18F-FDG and 68Ga-NODAGA-RGD. Same results were shown in a prospective study by Minamimoto et al. (2015). By comparing 18F-FPPRGD2 and 18F-FDG uptake values in various non-esophageal cancer patients, those authors showed no significant difference in tumor-to-background ratios between both tracers. The low RGD-based tracer uptake in several areas such as the lung, muscles, fat, the brain, or the myocardium could be an advantage for both qualitative and quantitative evaluation of thoracic, breast or brain lesions (Beer et al. 2008; Minamimoto et al. 2015), or for non-oncological applications such as cardiovascular imaging or inflammatory diseases (Dietz et al. 2021, 2022; Ebenhan et al. 2021; Zhu et al. 2014).
An encouraging finding is the fact that an osteolytic malignant lesion showed a clearly more intense 68Ga-NODAGA-RGD uptake as compared to 18F-FDG. This result is consistent with preclinical data, which supported that RGD-based PET tracer has the potential to effectively image bone metastases, especially in osteolytic metastases, by targeting of the αvβ3 integrin on osteoclasts and the proinflammatory cells involved at the bone metastatic site (Wadas et al. 2009). In a pilot prospective study of 18F-Alfatide II for detection of skeletal metastases in humans, Mi et al. showed high positive predictive value in the detection of bone metastases, with high lesion-to-background contrast (Mi et al. 2015). This observation is in alignment with the hypothesis that RGD-based imaging may provide complementary information in imaging cancer patients.
We strongly believe that the complementary information provided by molecular imaging of αvβ3 expression could be clinically relevant. Integrins, especially the αvβ3, are associated with tumor angiogenesis and the blockade of integrin signaling has been shown to inhibit tumor growth, angiogenesis, and early metastasis (Liu et al. 2008). Despite the intriguing concept of anti-angiogenesis, initially described by Folkman et al. (1971), the real therapeutic breakthrough of this treatment never really held its promise and induced only very modest improvements in overall survival (Ribatti et al. 2019). One of the most prominent trials addressing αvβ3/αvβ5 inhibition was the CENTRIC trial [Celengitide, Merck KGaA, Darmstadt, Germany] in glioblastoma delivering negative results (Stupp et al. 2014).
The escape mechanisms of cancer against anti-angiogenic treatments are manifold but one key element of resistance is the heterogeneity of neoplastic endothelial cells (Montemagno and Pagès 2020). 68Ga-NODAGA-RGD PET/CT is a noninvasive, holistic imaging of tumor angiogenesis and could play a pivotal role in identifying patients which have greatest benefit from anti-angiogenetic therapy. This hypothesis is supported by data from the CORE study, where glioblastoma patients with higher αvβ3/αvβ5 had significantly better outcomes (Nabors et al. 2015). This clearly demonstrates the need of biomarkers to select patients and find an optimal treatment window for patients receiving anti-angiogenic treatments. Especially functional imaging depicting angiogenic targets as αvβ3 could greatly help to select patients and an optimal time window for such treatments. 68Ga-NODAGA-RGD might even serve as theranostic imaging marker followed by therapeutic beta-particle based radioligand therapy (Bozon-Petitprin et al. 2015). Such radioligand therapy could potentially overcome the shortcoming of classical anti-angiogenic therapy by a crossfire effect anticipating the heterogeneity in endothelial cells.
Furthermore, αvβ3 integrin is involved in the epithelial–mesenchymal transition, which plays a pivotal role in the very early stages of tumorigenesis and tumor implantation (Kariya et al. 2021; Liu et al. 2017). 18F-FDG PET is widely accepted as preferred method for initial tumor staging in esophageal cancer. 68Ga-NODAGA-RGD with its extensions of uptake into perilesional structures could help to delineate the pre-tumoral and pre-metastatic niche. In the near future, local procedures like surgical resection of radiotherapy in esophageal cancer might use 68Ga-NODAGA-RGD uptake to optimally plan their resection margins or radiotherapy fields. Further investigations would be still required in the future to elucidate the potential role of 68Ga-NODAGA-RGD in esophageal cancer management.
There exist some limitations in our study. 68Ga-NODAGA-RGD uptake was not prognostic for any of the investigated endpoints, but our number of participants is not large enough. The limited statistical power may also explain the absence of significant results in subgroup analysis for different pathological tumor status or histologic grade. Immunohistochemistry tests were not performed to assess the correlation between integrin αvβ3 expression and 68Ga-NODAGA-RGD uptake, which has been demonstrated in several animal and clinical studies (Chen et al. 2016; Jeong et al. 2008).
In conclusion, 68Ga-NODAGA-RGD has lower potential in the detection of esophageal or esophagogastric junction malignancies compared to 18F-FDG. However, the results suggest that 68Ga-NODAGA-RGD may provide complementary information, indicating that PET imaging of integrin αvβ3 expression could aid in tumor diversity and delineation.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ajani JA, D’Amico TA, Bentrem DJ, Chao J, Corvera C, Das P et al (2019) Esophageal and esophagogastric junction cancers, version 2.2019, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 17:855–883. https://doi.org/10.6004/jnccn.2019.0033
Arnold M, Ferlay J, van Berge Henegouwen MI, Soerjomataram I (2020) Global burden of oesophageal and gastric cancer by histology and subsite in 2018. Gut 69:1564–1571. https://doi.org/10.1136/gutjnl-2020-321600
Beer AJ, Lorenzen S, Metz S, Herrmann K, Watzlowik P, Wester HJ et al (2008) Comparison of integrin alphaVbeta3 expression and glucose metabolism in primary and metastatic lesions in cancer patients: a PET study using 18F-galacto-RGD and 18F-FDG. J Nucl Med 49:22–29. https://doi.org/10.2967/jnumed.107.045864
Bozon-Petitprin A, Bacot S, Gauchez AS, Ahmadi M, Bourre JC, Marti-Batlle D et al (2015) Targeted radionuclide therapy with RAFT-RGD radiolabelled with 90Y or 177Lu in a mouse model of αvβ3-expressing tumours. Eur J Nucl Med Mol Imaging 42:252–263. https://doi.org/10.1007/s00259-014-2891-7
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68:394–424. https://doi.org/10.3322/caac.21492
Buchegger F, Viertl D, Baechler S, Dunet V, Kosinski M, Poitry-Yamate C et al (2011) 68Ga-NODAGA-RGDyK for αvβ3 integrin PET imaging. Preclinical investigation and dosimetry. Nuklearmedizin 50:225–233. https://doi.org/10.3413/Nukmed-0416-11-06
Chen H, Niu G, Wu H, Chen X (2016) Clinical application of radiolabeled RGD peptides for PET imaging of integrin αvβ3. Theranostics 6:78–92. https://doi.org/10.7150/thno.13242
Dietz M, Kamani CH, Deshayes E, Dunet V, Mitsakis P, Coukos G et al (2021) Imaging angiogenesis in atherosclerosis in large arteries with 68Ga-NODAGA-RGD PET/CT: relationship with clinical atherosclerotic cardiovascular disease. EJNMMI Res 11:71. https://doi.org/10.1186/s13550-021-00815-5
Dietz M, Kamani CH, Dunet V, Fournier S, Rubimbura V, Testart Dardel N et al (2022) Overview of the RGD-Based PET agents use in patients with cardiovascular diseases: a systematic review. Front Med Lausanne 9:887508. https://doi.org/10.3389/fmed.2022.887508
Durante S, Dunet V, Gorostidi F, Mitsakis P, Schaefer N, Delage J et al (2020) Head and neck tumors angiogenesis imaging with 68Ga-NODAGA-RGD in comparison to 18F-FDG PET/CT: a pilot study. EJNMMI Res 10:47. https://doi.org/10.1186/s13550-020-00638-w
Ebenhan T, Kleynhans J, Zeevaart JR, Jeong JM, Sathekge M (2021) Non-oncological applications of RGD-based single-photon emission tomography and positron emission tomography agents. Eur J Nucl Med Mol Imaging 48:1414–1433. https://doi.org/10.1007/s00259-020-04975-9
Folkman J (1971) Tumor angiogenesis: therapeutic implications. N Engl J Med 18(285):1182–1186. https://doi.org/10.1056/NEJM197111182852108
Fuchs CS, Shitara K, Bartolomeo MD, Lonardi S, Al-Batran SE, Cutsem EV et al (2019) Ramucirumab with cisplatin and fluoropyrimidine as first-line therapy in patients with metastatic gastric or junctional adenocarcinoma (RAINFALL): a double-blind, randomised, placebo-controlled, phase 3 trial. Lancet Oncol 20:420–435. https://doi.org/10.1016/S1470-2045(18)30791-5
Fuchs CS, Tomasek J, Yong CJ, Dumitru F, Passalacqua R, Goswami C, Trial Investigators REGARD et al (2014) Ramucirumab monotherapy for previously treated advanced gastric or gastro-oesophageal junction adenocarcinoma (REGARD): an international, randomised, multicentre, placebo-controlled, phase 3 trial. Lancet 2014(383):31–39. https://doi.org/10.1016/S0140-6736(13)61719-5
Gnesin S, Mitsakis P, Cicone F, Deshayes E, Dunet V, Gallino AF et al (2017) First in-human radiation dosimetry of 68Ga-NODAGA-RGDyK. EJNMMI Res 7:43. https://doi.org/10.1186/s13550-017-0288-x
Haubner R, Finkenstedt A, Stegmayr A, Rangger C, Decristoforo C, Zoller H et al (2016) [68Ga]NODAGA-RGD – Metabolic stability, biodistribution, and dosimetry data from patients with hepatocellular carcinoma and liver cirrhosis. Eur J Nucl Med Mol Imaging 43:2005–2013. https://doi.org/10.1007/s00259-016-3396-3
Hood JD, Cheresh DA (2002) Role of integrins in cell invasion and migration. Nat Rev Cancer 2:91–100. https://doi.org/10.1038/nrc727
Iagaru A, Mosci C, Shen B, Chin FT, Mittra E, Telli ML et al (2014) 18F-FPPRGD2 PET/CT: pilot phase evaluation of breast cancer patients. Radiology 273:549–559. https://doi.org/10.1148/radiol.14140028
Jeong JM, Hong MK, Chang YS, Lee YS, Kim YJ, Cheon GJ et al (2008) Preparation of a promising angiogenesis PET imaging agent: 68Ga-labeled c(RGDyK)-isothiocyanatobenzyl-1,4,7-triazacyclononane-1,4,7-triacetic acid and feasibility studies in mice. J Nucl Med 49:830–836. https://doi.org/10.2967/jnumed.107.047423
Kariya Y, Oyama M, Suzuki T, Kariya Y (2021) αvβ3 Integrin induces partial EMT independent of TGF-β signaling. Commun Biol 4:490. https://doi.org/10.1038/s42003-021-02003-6
Knetsch PA, Petrik M, Griessinger CM, Rangger C, Fani M, Kesenheimer C et al (2011) [68Ga]NODAGA-RGD for imaging αvβ3 integrin expression. Eur J Nucl Med Mol Imaging 38:1303–1312. https://doi.org/10.1007/s00259-011-1778-0
Liu Z, Wang F, Chen X (2008) Integrin alpha(v)beta(3)-targeted cancer therapy. Drug Dev Res 69:329–339. https://doi.org/10.1002/ddr.20265
Liu Q, Zhang H, Jiang X, Qian C, Liu Z, Luo D (2017) Factors involved in cancer metastasis: a better understanding to “seed and soil” hypothesis. Mol Cancer 16:176. https://doi.org/10.1186/s12943-017-0742-4
Lurje G, Leers JM, Pohl A, Oezcelik A, Zhang W, Ayazi S et al (2010) Genetic variations in angiogenesis pathway genes predict tumor recurrence in localized adenocarcinoma of the esophagus. Ann Surg 251:857–864. https://doi.org/10.1097/SLA.0b013e3181c97fcf
Mi B, Yu C, Pan D, Yang M, Wan W, Niu G et al (2015) Pilot Prospective evaluation of 18F-alfatide II for detection of skeletal metastases. Theranostics 5:1115–1121. https://doi.org/10.7150/thno.12938
Minamimoto R, Jamali M, Barkhodari A, Mosci C, Mittra E, Shen B et al (2015) Biodistribution of the 18F-FPPRGD2 PET radiopharmaceutical in cancer patients: an atlas of SUV measurements. Eur J Nucl Med Mol Imaging 42:1850–1858. https://doi.org/10.1007/s00259-015-3096-4
Montemagno C, Pagès G (2020) Resistance to anti-angiogenic therapies: a mechanism depending on the time of exposure to the drugs. Front Cell Dev Biol 7(8):584. https://doi.org/10.3389/fcell.2020.00584
Nabors LB, Fink KL, Mikkelsen T, Grujicic D, Tarnawski R, Nam DH et al (2015) Two cilengitide regimens in combination with standard treatment for patients with newly diagnosed glioblastoma and unmethylated MGMT gene promoter: results of the open-label, controlled, randomized phase II CORE study. Neuro Oncol 17:708–717. https://doi.org/10.1093/neuonc/nou356
Pohle K, Notni J, Bussemer J, Kessler H, Schwaiger M, Beer AJ (2012) 68Ga-NODAGA-RGD is a suitable substitute for (18)F-Galacto-RGD and can be produced with high specific activity in a cGMP/GRP compliant automated process. Nucl Med Biol 39:777–784. https://doi.org/10.1016/j.nucmedbio.2012.02.006
Ribatti D, Annese T, Ruggieri S, Tamma R, Crivellato E (2019) Limitations of anti-angiogenic treatment of tumors. Transl Oncol 12:981–986. https://doi.org/10.1016/j.tranon.2019.04.022
Stupp R, Hegi ME, Gorlia T, Erridge SC, Perry J, Hong YK et al (2014) Cilengitide combined with standard treatment for patients with newly diagnosed glioblastoma with methylated MGMT promoter (CENTRIC EORTC 26071–22072 study): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol 15:1100–1108. https://doi.org/10.1016/S1470-2045(14)70379-1
Wadas TJ, Deng H, Sprague JE, Zheleznyak A, Weilbaecher KN, Anderson CJ (2009) Targeting the αvβ3 integrin for small-animal PET/CT of osteolytic bone metastases. J Nucl Med 50:1873–1880. https://doi.org/10.2967/jnumed.109.067140
Wilke H, Muro K, Van Cutsem E, Oh SC, Bodoky G, Shimada Y, RAINBOW Study Group et al (2014) Ramucirumab plus paclitaxel versus placebo plus paclitaxel in patients with previously treated advanced gastric or gastro-oesophageal junction adenocarcinoma (RAINBOW): a double-blind, randomised phase 3 trial. Lancet Oncol 15:1224–1235. https://doi.org/10.1016/S1470-2045(14)70420-6
Zheng S, Chen Z, Huang C, Chen Y, Miao W (2019) [99mTc]3PRGD2 for integrin receptor imaging of esophageal cancer: a comparative study with [18F]FDG PET/CT. Ann Nucl Med 33:135–143. https://doi.org/10.1007/s12149-018-1315-3
Zhu Z, Yin Y, Zheng K, Li F, Chen X, Zhang F et al (2014) Evaluation of synovial angiogenesis in patients with rheumatoid arthritis using 68Ga-PRGD2 PET/CT: a prospective proof-of-concept cohort study. Ann Rheum Dis 73:1269–1272. https://doi.org/10.1136/annrheumdis-2013-204820
The authors would like to thank Dr. Antonia Digklia (Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland) and Ms. Christine Geldhof (Lausanne University Hospital, Lausanne, Switzerland). We acknowledge all study participating patients.
Dr. Dietz was supported by Research Fellowship Awards from the Société Française de Radiologie, Paris, France, and from the Agence Régionale de Santé Auvergne-Rhone-Alpes, Lyon, France. The authors are indebted to Swiss Heart Foundation (Bern, Switzerland) for their financial support in developing the 68Ga-NODAGA-RGD radiopharmaceutical.
All procedures performed in this study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its last amendments or comparable ethical standards. This study was approved by the ethics commission Vaud (protocol CER-VD #120/12). Written informed consent was obtained from all participants.
Consent for publication
Participants signed informed consent regarding publishing their data.
The authors declare that they have no conflict of interest.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Dietz, M., Dunet, V., Mantziari, S. et al. Comparison of integrin αvβ3 expression with 68Ga-NODAGA-RGD PET/CT and glucose metabolism with 18F-FDG PET/CT in esophageal or gastroesophageal junction cancers. European J Hybrid Imaging 7, 3 (2023). https://doi.org/10.1186/s41824-023-00162-9
- Esophageal cancer
- Integrin α v β 3