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. 2026 Oct 5. Online ahead of print. doi: 10.1039/d6md00646a

Development of dual SST2/SST5 targeting radioligands through rational structural design

Fabienne Spinnler a, Luigi Del Pozzo a, Lennart Bohrmann a, Sandra Zanger a, Nina Kathleen Blum b, Monique Brendel b, Stefan Schulz b, Rosalba Mansi a,✉, Melpomeni Fani a,✉
PMCID: PMC13637744  PMID: 42836142

Abstract

Radioligand therapy targeting somatostatin receptors has emerged as a highly effective treatment strategy for neuroendocrine tumors, with growing evidence indicating that SST2 antagonists and dual SST2/SST5 targeting approaches may further enhance tumor coverage and therapeutic efficacy. In this study, DOTA-NOC, a somatostatin analog with high affinity for SST2 and SST5, served as the scaffold for the design of novel ligands incorporating structural features associated with receptor antagonism. The resulting ligands were conjugated to DOTA for 177Lu radiolabeling and evaluated for receptor affinity, antagonistic potency, and in vivo properties. Among the series, 177Lu-10 displayed high affinity for both receptor subtypes while acting selectively as an SST5 antagonist. Compared to [177Lu]Lu-DOTA-NOC, it showed similar SST2 tumor uptake but nearly 5-fold higher accumulation in SST5-expressing tumors. This work provides new insights into the structural determinants underlying SST2 and SST5 affinity, selectivity, and antagonistic behavior, demonstrating that receptor recognition and functional activity arise from the combined contribution of multiple structural elements and supporting the development of dual SST2/SST5-targeted radioligands.


Development of a high affinity dual SST2 agonist/SST5 antagonist radioligand for improved targeting and imaging of somatostatin receptor-expressing tumors.graphic file with name d6md00646a-ga.webp

1. Introduction

Targeted radioligand therapy using radiolabeled somatostatin analogs has proven highly effective for treating well-differentiated, inoperable, and metastatic neuroendocrine tumors (NETs), particularly those of gastro-enteropancreatic (GEP) origin. The two key radioligands are [177Lu]Lu-DOTA-TATE (Lutathera®, Novartis) and [177Lu]Lu-DOTA-TOC (currently completed phase III COMPETE trial, NCT03049189).1–3 The success of these therapies is largely due to the high expression of somatostatin receptor subtype 2 (SST2) in NETs, which serves as the primary molecular target for both radioligands. Structurally, DOTA-TATE and DOTA-TOC (DOTA-dPhe-c(Cys-Tyr-dTrp-Lys-Thr-Cys)-Thr-OH and -Thr(ol), respectively) are very similar. They are cyclic octapeptides containing a disulfide-bridged six-membered ring (derivatives of octreotide)4 conjugated at the N-terminus with the chelator DOTA (1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid), enabling radiolabeling with lutetium-177. The sole difference between the two molecules lies at the C-terminus: DOTA-TATE features a threonine (Thr-OH), while DOTA-TOC has a threoninol (Thr(ol)). This subtle variation imparts DOTA-TATE with markedly higher SST2 selectivity and approximately 10-fold greater affinity (IC50 ∼1.5 nM vs. ∼14 nM for DOTA-TOC).5

Emerging preclinical and clinical evidence suggests that radiolabeled SST2 antagonists may provide superior therapeutic performance in comparison to the agonists DOTA-TATE and DOTA-TOC.6–9 In contrast to agonists, which rely on receptor activation and internalization, SST2 antagonists bind to a greater number of receptors, leading to higher tumor accumulation and prolonged tumor residence time, ultimately resulting in increased absorbed radiation dose.10–13 Both classes of radiolabeled somatostatin-based ligands share the general structure of the octapeptide with a six-member ring but differ mainly in the inverted chirality in positions 1 and 2 (d1/l2 for the agonists and l1/d2 for the antagonists) and in their C-terminal residues, with antagonists containing larger hydrophobic aromatic amino acids and agonists smaller hydrophilic ones.13,14 Studies with the first SST2 antagonist DOTA-BASS (DOTA-Phe(4NO2)-c(dCys-Tyr-dTrp-Lys-Thr-Cys)-dTyr-NH2)15 and with the clinically used DOTA-JR116,16,17 and DOTA-LM3,18 support the use of SST2 receptor antagonism as a promising strategy to enhance the efficacy of radioligand therapy, due to improved lesion detection and higher tumor radiation dose compared to SST2 agonists.

While advances in SST2-targeted radioligand therapy have been made, they do not optimally address all neuroendocrine neoplasms.19 Poorly differentiated neuroendocrine carcinomas (NECs), high-grade NETs, and some well-differentiated NETs often show low or heterogeneous SST2 expression,20 resulting in suboptimal tumor targeting with SST2-specific analogs.21 The receptor subtype 5 (SST5) ranks as the second most frequently expressed somatostatin receptor subtype in GEP-NETs.22 SST5 expression is reported in 38–83% of GEP-NETs, compared with 60–93% for SST2, based on immunohistochemical studies.23–29 SST5 expression extends beyond GEP-NETs to a variety of other tumors, including growth hormone secreting pituitary adenomas, breast cancer and intestinal or bronchial NETs,30,31 glioblastomas,32 the tumor vasculature of pancreatic ductal adenocarcinomas,33 certain lung cancers,34 and subsets of ovarian and cervical carcinomas.35 This positions SST5 as a key target together with SST2. These patterns support the development of dual SST2/SST5-targeted radiolabeled somatostatin analogs to broaden the spectrum of tumors amenable to radioligand therapy and enhance efficacy by increasing the radiation dose delivery to tumors co-expressing both subtypes.

To enable dual SST2/SST5 targeting, while leveraging the advantages seen with SST2 antagonists, we pursued an approach that aims to incorporate both properties in a single ligand. We began our ligand development with the well-known SST2 agonist DOTA-NOC (DOTA-dPhe-c(Cys-1Nal-dTrp-Lys-Thr-Cys)-Thr(ol)),36 which also exhibits substantial SST5 affinity, owing to the 1-naphthylalanine residue at position 3 instead of tyrosine.36,37 We investigated whether DOTA-NOC could be converted into an SST2/SST5 antagonist by introducing structural motifs characteristic of SST2-selective antagonists,13,15,38,39 while maintaining its dual targeting. Sixteen novel ligands were designed, synthesized and radiolabeled with 177Lu. The newly generated radioligands were evaluated in vitro and in vivo for SST2/SST5 dual-targeting and antagonism. DOTA-NOC was used in all studies as reference.

2. Results and discussion

2.1. Design and affinity data of DOTA-NOC-based ligands

Using DOTA-NOC as the starting scaffold (Fig. 1), we investigated the impact of: i) inversion of chirality at positions 1 and 2; ii) incorporation of an aromatic amino acid at the C-terminus;13 iii) inverted chirality combined with substituted phenylalanines at position 1; and iv) combinations thereof. Lastly, we explored the effect of Val in position 6, as it is known to enhance SST5 affinity in other octapeptide somatostatin analogs, like DOTA-LAN (LAN = lanreotide)40 and DOTA-VAN (VAN = vapreotide).41

Fig. 1. Structure of DOTA-NOC; blue: DOTA chelator, red: positions 1, 2, 6 and 8 modified in this study.

Fig. 1

All DOTA-conjugated peptide derivatives of DOTA-NOC (hereafter referred to as ligands) are presented in Table 1, with the respective modifications highlighted in color, together with the half-inhibition concentration (IC50) determined by competition binding with [125I]-Tyr-SS-14 (SS-14 = somatostatin-14) on HEK-SST2 and CHO-SST5 membranes.

Table 1. Peptide sequences of ligands under investigation designed based on the reference DOTA-NOC and their binding affinity data, expressed as half-inhibition concentration (IC50) in competition with [125I]-Tyr-SS-14 on HEK-SST2 and CHO-SST5 membranes (at least two individual experiments, each in triplicate). CI = confidence of interval. Summary of 7TM phosphorylation assay results (n = 4): characterization of ligands based on their ability to inhibit SS-14-induced phosphorylation of pS341/pS343-SST2 and pT333-SST5.

Code Peptide sequence IC50 (nM (95% CI)) Antagonism
SST2 SST5 SST2 SST5
DOTA-NOC DOTA-dPhe-c[Cys-1Nal-dTrp-Lys-Thr-Cys]-Thr(ol) 0.36 (0.16–0.39) 13.8 (12.2–15.6) No Yes
Series 1 1 DOTA-Phe-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-Thr(ol) 2.6 (2.0–3.2) >1000 No —
2 DOTA-dPhe-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-Thr(ol) 47.3 (40.2–55.8) 334 (273–407) — —
3 DOTA-Phe-c[Cys-1Nal-dTrp-Lys-Thr-Cys]-Thr(ol) 0.61 (0.47–0.78) 49 (36–67) No Yes
4 DOTA-Phe(4NO2)-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-Thr(ol) 1.4 (1.2–1.7) 294 (229–379) No No
5 DOTA-Phe(4NO2)-c[dCys-1Nal-dTrp-Lys-Val-Cys]-Thr(ol) 4.8 (2.4–8.9) >1000 No —
 
Series 2 6 DOTA-Phe-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-Thr-NH2 6.0 (4.3–8.4) >1000 — —
7 DOTA-Phe-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-Thr-OH 5.3 (3.4–8.1) >1000 — —
8 DOTA-Phe(4Cl)-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-Thr-OH 1.3 (1.2–1.4) >1000 — —
9 DOTA-Phe(4NO2)-c[dCys-1Nal-dTrp-Lys-Val-Cys]-Thr-OH 2.4 (1.6–3.6) >1000 — —
 
Series 3 10 DOTA-dPhe-c[Cys-1Nal-dTrp-Lys-Thr-Cys]-dTyr-NH2 0.56 (0.44–0.70) 3.6 (2.9–4.4) No Yes
11 DOTA-Phe-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-dTyr-NH2 4.5 (3.9–5.2) >1000 Yes —
12 DOTA-Phe(4NO2)-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-dTyr-NH2 6.0 (5.5–6.6) 449 (323–621) Yes No
13 DOTA-Phe(4NO2)-c[dCys-1Nal-dTrp-Lys-Val-Cys]-dTyr-NH2 9.1 (5.5–15.4) 784 (636–975) Yes No
14 DOTA-Phe(4NO2)-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-Phe(4Cl)-OH 2.9 (2.2–3.9) >1000 Yesa —
15 DOTA-Phe(4Cl)-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-Phe(4Cl)-OH 2.4 (1.9–3.1) >1000 — —
16 DOTA-Phe(4Cl)-c[dCys-1Nal-dTrp-Lys-Thr-Cys]-2Nal-NH2 55.4 (20.6–375) 41 (30–57) — —
a

Weak antagonistic effect (100 μM); — not done as the ligands had no affinity for SST5 and/or SST2.

All the ligands were obtained with >95% purity, based on RP-HPLC analysis. The analytical data are provided in Table S1 and Fig. S1. The designed ligands are grouped in three series, based on their C-terminus:

Series 1 (1–5), in which Thr(ol)8 at the C-terminus is retained, while altering the chirality at positions 1 and 2. In relation to DOTA-NOC (chirality d1/l2), ligands 1–3 include the different combinations in these two positions. Focusing on the inverted chirality (l1/d2) known from SST2 antagonists, the substituted Phe(4NO2)1 was inserted in position 1 (4) and in addition, Val6 in position 6 (5).

Series 2 (6–9), in which the C-terminus was modified to either threonine amide (Thr8-NH2, 6) to increase stability,42 or to threonine hydroxyl (Thr8-OH, 7) mimicking known modification between DOTA-NOC and DOTA-NOC-ATE or DOTA-TOC and DOTA-TATE.43 In all cases, the inverted chirality in positions 1 and 2 was preserved. Furthermore, Phe(4Cl)1 was introduced in position 1 (8) and in addition Phe(4NO2)1 in combination with Val6 in position 6 (9).

Series 3 (10–16), in which the C-terminus was substituted by aromatic and/or hydrophobic amino acids. Initially, dTyr8-NH2 was introduced at the C-terminus (ligands 10–13), a modification reported to improve hydrophilicity38 without or in combination with inverted chirality (d1/l2, 10 and l1/d2, 11, respectively). By preserving the inverted chirality, the dTyr8-NH2-series was completed with the introduction of Phe(4NO2)1 (12), and the combination of Phe(4NO2)1 and Val6 (13). Alternatively, the C-terminus incorporated the aromatic residue Phe(4Cl) in combination with substituted Phe(4NO2)1 (14) or Phe(4Cl)1 (15). Lastly, the sterically demanding amino acid 2Nal-NH2 was used at the C-terminus, as previous studies by Hocart et al.39,44 suggested, in combination with Phe(4Cl)1 (16).

All the ligands exhibited very high affinity for SST2 (IC50 < 10 nM), except for 2 and 16 that exhibited moderate affinity (IC50 ∼ 50 nM). Among the tested ligands, 3 and 10 demonstrated sub-nanomolar affinity (IC50 < 1 nM), similar to DOTA-NOC.

Nine out of the 16 ligands lost affinity for SST5, while the other 7 showed measurable affinity. Among these, 3 and 16 showed moderate affinity (IC50 ∼ 40–50 nM), while 10 showed the highest affinity (IC50 = 3.6 nM), with a 4-fold lower IC50 than DOTA-NOC.

2.2. Radiolabeling and lipophilicity (log D)

All the ligands were labeled with 177Lu in radiolabeling yield >95% and radiochemical purity >93% (Table S2, Fig. S2). The radioligands were prepared with apparent molar activities ranging from 20 to 60 MBq nmol−1, depending on the type of experiment performed.

The distribution coefficient (log D) of the 177Lu-labeled ligands between the organic and aqua phase ranges from −2.0 to 1.0 (Fig. 2). Numeric values are reported as mean ± standard deviation in Table S2. Compared to the reference ligand [177Lu]Lu-DOTA-NOC (log D = −1.61 ± 0.19), all the radioligands are more lipophilic, with the exception of 177Lu-3 and 177Lu-7. Three of the radioligands, 177Lu-13, 177Lu-15 and 177Lu-16, demonstrate high lipophilicity (log D > 0), a property generally considered disadvantageous for systemic in vivo use of targeted radioligands.

Fig. 2. Lipophilicity of the 177Lu-labeled ligands was assessed by the determination of their distribution (log D) between octanol (O) and phosphate buffered saline (PBS) at the physiological pH of blood serum, pH = 7.4.

Fig. 2

Lipophilic radioligands often suffer from higher nonspecific binding, higher binding to plasma proteins, and greater accumulation in off-target organs. A representative case is [90Y]Y-DOTA-LAN, which demonstrated modest antitumor effects and significant hepatic toxicity due to increased hepatobiliary clearance in phase I/II trials.45,46

2.3. In vitro evaluation

2.3.1. Cellular uptake and distribution

The cellular uptake and distribution between the surface bound and internalized fraction for all 177Lu-labeled ligands were evaluated in HEK-SST2 cells at 37 °C at 1, 2 and 4 hours (Table S3). Such studies were not performed in HEK-SST5 cells due to the absence of ligand-induced receptor internalization of this SST subtype.47

The results in HEK-SST2 cells after 4 hours of incubation for all the radioligands are presented in Fig. 3. 177Lu-16 is not reported because the nonspecific uptake of this radioligand could not be reliably quantified, likely due to non-specific adhesion effects, attributable to its high lipophilicity (log D = 0.94 ± 0.13). Thus, 16 was excluded at this stage from further investigations.

Fig. 3. Cellular uptake and distribution of the 177Lu-ligands in HEK-SST2 cells after 4 hours of incubation at 37 °C, divided into the specific cell surface bound fraction (full bars) and internalized fraction (open colored dotted bars). The results are expressed as % (mean ± SD) of the applied activity in the cells and are normalized per million cells. All values refer to specific surface bound and internalization after subtracting the non-specific (measured in non-transfected HEK cells) from the total bound and internalized fractions.

Fig. 3

Seven out of 15 radioligands, namely 177Lu-1, 177Lu-2, 177Lu-5, 177Lu-6, 177Lu-7, 177Lu-8 and 177Lu-9 were excluded from further evaluation due to their low cellular uptake (internalized fraction + surface bound fraction <20%), compared to the benchmark [177Lu]Lu-DOTA-NOC.

The remaining 8 radioligands showed cellular uptake >40% and can be grouped into two distinct classes, based on their distribution between the surface-bound and internalized fractions, as it is well established that radiolabeled somatostatin agonists are exclusively internalized, whereas SST2 antagonists predominantly remain bound to the cell membrane:10

I. Four radioligands, 177Lu-3, 177Lu-10, 177Lu-14 and 177Lu-15 are predominantly internalized, similar to[177Lu]Lu-DOTA-NOC. Notably, 177Lu-3 and 177Lu-10 demonstrated specific cellular uptake of 80% of the total added activity, which is significantly higher than [177Lu]Lu-DOTA-NOC (approx. 55%). The characteristics of this group are indicative of agonism in SST2.

II. Four radioligands, 177Lu-4, 177Lu-11, 177Lu-12 and 177Lu-13 showed a higher surface-bound fraction than internalized. The characteristics of this group are indicative of antagonism in SST2. Among them, 177Lu-11 and 177Lu-12 showed the highest specific cellular uptake (∼70% of the added activity), with two-thirds remaining on the cell surface.

Of the eight radioligands with cellular uptake >40%, the following six were selected for further evaluation: 177Lu-3, 177Lu-4, 177Lu-10, 177Lu-11, 177Lu-12 and 177Lu-14. The remaining two, 177Lu-13 and 177Lu-15, were excluded due to their pronounced lipophilicity (log D > 0, Fig. 2), and lack of any distinct advantages over the six selected radioligands.

2.3.2. Saturation binding studies

Saturation binding studies were performed to determine the equilibrium dissociation constant (KD) and the maximum number of binding sites (Bmax) of the six selected radioligands in HEK-SST2 membranes. Additionally, the four ligands with measurable affinity for SST5 were tested in CHO-SST5 membranes. The results are summarized in Table S4 and illustrated in Fig. S3.

All tested radioligands exhibit very high affinity for SST2, with KD values below 1.1 nM, in line with the results obtained from the inhibition assay (Table 1). Among all, 177Lu-3 and 177Lu-10 had the highest affinity with sub-nanomolar KD comparable to [177Lu]Lu-DOTA-NOC.

[177Lu]Lu-DOTA-NOC showed the lowest Bmax (0.07 nM), whereas the new radioligands exhibited 1.5- up to 3-fold higher values. This is consistent with reports of a 3- to 4-fold higher Bmax for SST2 antagonists vs. SST2 agonists. Notably, the Bmax values of 177Lu-11 and 177Lu-12 in this cell line were similar to that reported for the SST2 antagonist [177Lu]Lu-DOTA-JR11 (0.37 ± 0.02 nM),10 supporting an antagonistic profile. The higher Bmax of SST2 antagonists is thought to contribute substantially to their enhanced tumor uptake and, consequently, greater tumor radiation dose in both preclinical12,48 and clinical settings.7,49 Because some radioligands showed substantial ligand depletion, saturation-binding analyses were performed using the estimated free radioligand activity to account for the reduction in ligand available for receptor binding.50

On SST5, 177Lu-3 and 177Lu-10 presented a KD similar to [177Lu]Lu-DOTA-NOC, with the Bmax of 177Lu-10 being 2-fold higher than that of [177Lu]Lu-DOTA-NOC (0.54 vs. 0.27 nM, respectively). 177Lu-4 and 177Lu-12 were tested but no saturation binding curve could be generated. Although the affinity of these two ligands was measurable in the inhibition assay, it was likely too low to generate a saturation curve under the experimental conditions used.

2.3.3. Antagonistic potency

The antagonistic potency of the selected ligands, 3, 4, 10, 11, 12 and 14, was assessed and the results are reported in Table 1 and Fig. S4 and S5. Ligands 1, 5 and 13 were included to elucidate the impact of key structural modifications, as discussed below.

Inversion of chirality at positions 1 and 2 (Phe1/dCys2, 1) did not convert DOTA-NOC into an SST2 antagonist, contrary to previous reports for SST2-selective octreotide-based agonists.15,39 Instead, this modification led to a seven-fold reduction in SST2 affinity and completely abolished SST5 affinity. To dissect positional effects, chirality at positions 1 and 2 was varied individually. The dPhe1/dCys2 derivative of DOTA-NOC (2) showed no favorable affinity profile (Table 1), whereas the Phe1/Cys2 variant (3) improved SST2 affinity to levels comparable to DOTA-NOC (0.61 vs. 0.36 nM, respectively), and restored SST5 affinity. 3 retained the same functional profile in SST2 and SST5 as DOTA-NOC.

Introduction of an aromatic amino acid at the C-terminus of DOTA-NOC, like dTyr8-NH2 (10), preserved the functional profile and the high SST2 affinity of the scaffold (0.56 vs. 0.36 nM, respectively), while it improved significantly the SST5 affinity (3.6 vs. 13.8 nM, respectively). In contrast, when this modification was combined with the inverted chirality (Phe1/dCys2, dTyr8-NH2, 11) the SST2 affinity was reduced, and the SST5 affinity was abolished, consistent with the results discussed above for series 1. Notably, however, this combination displayed SST2 antagonism.

Introduction of a substituted l-phenylalanine, e.g. Phe(4NO2) at position 1 has previously been shown to confer SST2 antagonism and improve SST2/SST5 affinity.15,38,39,44 Here, it was incorporated either without modifying the C-terminus in series 1 (Phe(4NO2)1/dCys2, 4) or by introducing an aromatic C-terminal residue in series 3 (Phe(4NO2)1/dCys2, dTyr8-NH2, 12). In both cases, Phe(4NO2)1 enabled SST5 recognition (IC50 ∼250–450 nM), whereas the corresponding unsubstituted analogs (1 and 11) showed no SST5 affinity. This might indicate that the 4NO2 substituent contributes to SST5 receptor binding, likely through enhanced aromatic and polar interactions with the aromatic “hydrophobic lock” of SST5 and extracellular loop residues.51–53 These interactions might not be accessible to the unsubstituted Phe1 residue. Despite this shared effect, the SST2 functionality was different with 12 showing antagonism, while 4 did not.

Lastly, motivated by the effect of Val6 in the somatostatin analogs lanreotide or vapreotide,51 where it enhanced SST5 binding, Thr6 was replaced by Val6 either without modifying the C-terminus (Phe(4NO2)1/dCys2, Val6, 5) or in combination with an aromatic C-terminal residue (Phe(4NO2)1/dCys2, Val6, dTyr8-NH2, 13). Contrary to expectations, this substitution resulted in loss of SST5 affinity and reduced SST2 affinity compared to the corresponding Thr6-containing analogs (4 and 12, respectively), while leaving ligand functionality unchanged.

Overall, these results indicate that, within the DOTA-NOC scaffold, simple inversion of chirality at positions 1 and 2 does not promote SST2 antagonism but instead impairs affinity. Incorporation of an aromatic residue at the C-terminus, like dTyr-NH2 in combination with inverted chirality – features commonly associated with potent SST2-specific antagonists, like DOTA-JR11 or DOTA-LM3 – is critical for inducing SST2 antagonism, at the cost of SST5 recognition within this scaffold.

2.4. In vivo evaluation

To assess how the above modifications translate in vivo, the most promising ligands were evaluated by SPECT/CT imaging and biodistribution studies.

2.4.1. SPECT/CT imaging

SPECT/CT imaging of the six selected radioligands was performed in HEK-SST2 tumor-bearing mice, 1 hour after administration of the radioligand (200 pmol/100 μL/10–15 MBq) and compared to [177Lu]Lu-DOTA-NOC (Fig. 4). All six radioligands were able to delineate and visualize the SST2-expressing tumors, similarly to [177Lu]Lu-DOTA-NOC. By visual assessment, the tumor uptake seemed lower for 177Lu-3, and comparable for 177Lu-11, 177Lu-14 and [177Lu]Lu-DOTA-NOC.

Fig. 4. SPECT/CT images of HEK-SST2 tumor-bearing mice at 1 h p.i. of the 177Lu-labeled ligands (200 pmol, 10–15 MBq). The maximum intensity projection (MIP) images are adjusted in the same scale (SUV 10) for direct comparison. The remaining activity in the body after 1 h is mentioned as % of the injected activity at the bottom for each radioligand, T: tumor, K: kidneys.

Fig. 4

SPECT/CT images of the four selected radioligands that demonstrate measurable affinity for SST5 were acquired in HEK-SST5 tumor-bearing mice, 1 hour post injection and compared to [177Lu]Lu-DOTA-NOC (Fig. 5). In HEK-SST5 xenografts, 177Lu-10 was the only radioligand with a clear tumor visualization, and an uptake much higher than that of [177Lu]Lu-DOTA-NOC. Of note, cell line-specific factors may limit direct quantitative comparison between the in vitro CHO-SST5 and in vivo HEK-SST5 data. Nevertheless, ligand 10 showed both the highest SST5 affinity and the most pronounced uptake in HEK-SST5 xenografts, supporting consistency between the observed in vitro and in vivo trends.

Fig. 5. SPECT/CT images of HEK-SST5 tumor-bearing mice at 1 h p.i. of 177Lu-DOTA-ligands (200 pmol, 10–15 MBq). Images have been adjusted in the same scale (SUV 10 for whole body scan (A), transaxial view of the tumor (SUV 4, B)) for direct comparison. The remaining activity in the body of the mice after 1 h is mentioned below the whole-body images. T: tumor, K: kidneys.

Fig. 5

An important observation was the total body distribution of each radioligand. While kidney uptake was observed for all the radioligands, suggesting renal clearance as the primary excretion pathway, 177Lu-10, 177Lu-11 and 177Lu-12 displayed additionally pronounced abdominal uptake and high residual total-body activity. This pattern resembles the biodistribution profile reported for SST2-selective antagonists such as [177Lu]Lu-DOTA-JR11.48 The abdominal uptake of [177Lu]Lu-DOTA-JR11 was attributed to the specific uptake of the radioligand in somatostatin receptor expressing tissues, like the stomach and pancreas, as a result of its high SST2-affinity. In other words, this uptake may indirectly reflect efficient SST2-targeting in vivo.

In contrast to all other ligands, 177Lu-10 demonstrated robust accumulation and clear visualization in both SST2- and SST5-expressing tumor models. Importantly, in the SST5 model, 177Lu-10 was the only radioligand that enabled clear tumor visualization, including [177Lu]Lu-DOTA-NOC. Based on the imaging data and considering all relevant properties, 177Lu-10 was selected for quantitative biodistribution studies and compared with the reference compound [177Lu]Lu-DOTA-NOC.

2.4.2. Quantitative biodistribution of 177Lu-10 vs. [177Lu]Lu-DOTA-NOC

Biodistribution studies at 1 h, 4 h and 24 h p.i. were performed in HEK-SST2 and HEK-SST5 xenografted mice injected with 10 pmol/100 μL/0.3–0.6 MBq radioligand (Table 2).

Table 2. Biodistribution results of [177Lu]Lu-DOTA-NOC and 177Lu-10 (10 pmol/0.3–0.6 MBq) in HEK-SST2 and HEK-SST5 xenografted nude mice at 1, 4 and 24 hours post-injection. Non-tumor organ and blood uptake values were pooled from both xenograft groups because whole-body biodistribution was the same between the models. The results are expressed % IA g−1 ± SD (n = 4–8 mice per group).
Organ [177Lu]Lu-DOTA-NOC 177Lu-10
1 h 4 h 24 h 1 h 4 h 24 h
Blood 0.60 ± 0.10 0.09 ± 0.04 0.02 ± 0.00 1.31 ± 0.37 0.13 ± 0.04 0.04 ± 0.01
Heart 0.37 ± 0.06 0.15 ± 0.03 0.06 ± 0.01 1.56 ± 0.42 0.29 ± 0.05 0.14 ± 0.02
Lung 7.10 ± 0.96 6.81 ± 1.78 3.11 ± 1.21 13.39 ± 2.39 14.53 ± 3.62 8.36 ± 3.10
Liver 0.80 ± 0.07 0.50 ± 0.06 0.21 ± 0.04 2.11 ± 0.54 1.36 ± 0.27 0.82 ± 0.09
Pancreas 17.62 ± 2.88 9.40 ± 1.17 2.90 ± 0.65 32.04 ± 4.96 14.32 ± 3.10 9.68 ± 1.22
Spleen 0.74 ± 0.11 0.54 ± 0.09 0.37 ± 0.11 1.98 ± 0.47 1.15 ± 0.33 0.75 ± 0.11
Stomach 13.23 ± 2.95 10.77 ± 1.79 6.28 ± 0.84 24.68 ± 4.22 16.99 ± 4.59 12.82 ± 1.03
Intestine 2.97 ± 1.53 3.13 ± 0.71 1.89 ± 0.59 5.47 ± 1.28 5.40 ± 0.88 4.46 ± 0.79
Adrenal 3.47 ± 0.49 3.86 ± 0.98 2.03 ± 0.65 6.00 ± 2.18 5.18 ± 1.40 5.04 ± 1.70
Kidney 7.91 ± 1.05 6.35 ± 1.05 2.55 ± 0.56 17.67 ± 4.46 13.10 ± 2.34 7.69 ± 0.78
Muscle 0.13 ± 0.04 0.05 ± 0.02 0.02 ± 0.02 0.39 ± 0.12 0.07 ± 0.01 0.04 ± 0.01
Femur 0.95 ± 0.27 0.78 ± 0.13 0.55 ± 0.23 2.49 ± 0.47 1.78 ± 0.54 1.01 ± 0.15
SST2-tumor 20.17 ± 1.16 20.33 ± 2.57 11.64 ± 1.34 19.61 ± 3.23 16.14 ± 4.25 6.20 ± 1.57
SST5-tumor 2.18 ± 0.29 0.78 ± 0.20 0.59 ± 0.13 10.49 ± 0.47 3.07 ± 0.50 1.42 ± 0.16

The overall quantitative biodistribution of 177Lu-10 was comparable to that of other radiolabeled somatostatin analogs, showing accumulation in SST2 expressing tissues such as the stomach, pancreas, and kidneys. In the head-to-head comparison, the uptake in SST2-expressing tumors was comparable between 177Lu-10 and [177Lu]Lu-DOTA-NOC at 1 h p.i. (19.61 ± 3.23 vs. 20.17 ± 1.16 % IA g−1, p = 0.7585) and at 4 h p.i. (16.14 ± 4.25 vs. 20.33 ± 2.57 % IA g−1, p = 0.1192). However, at 24 h p.i. 177Lu-10 showed lower uptake than [177Lu]Lu-DOTA-NOC (6.20 ± 1.57 vs. 11.64 ± 1.34 IA g−1, p = 0.0043). On the other hand, 177Lu-10 revealed a markedly higher uptake in SST5-expressing tumors compared to [177Lu]Lu-DOTA-NOC, with almost 5-fold higher uptake at 1 h p.i. (10.49 ± 0.47 vs. 2.18 ± 0.29 % IA g−1, p < 0.0001), approximately 4-fold higher uptake at 4 h p.i. (3.07 ± 0.50 vs. 0.78 ± 0.20 % IA g−1, p < 0.0001) and 2.4-fold higher uptake at 24 h p.i. (1.42 ± 0.16 vs. 0.59 ± 0.13 % IA g−1, p < 0.001). Significantly higher accumulation was also observed for 177Lu-10 in the somatostatin receptor expressing tissues at 1 h p.i., including the stomach (∼1.9-fold, p = 0.0001), the pancreas (∼1.8-fold, p = 0.0001), and the kidneys (∼2.2-fold, p = 0.0001). The longer circulation in the blood and the higher accumulation in the liver might be explained by the higher lipophilicity of 177Lu-10vs. [177Lu]Lu-DOTA-NOC (log D = −1.02 ± 0.17 vs. −1.61 ± 0.19, respectively).

The specificity of 177Lu-10 was confirmed by biodistribution in HEK xenograft-bearing mice performed at 1 h p.i. (Table S5). As expected, the overall biodistribution profile remained unchanged, except for tumor uptake, which was <1% IA g−1 of the injected activity. Tumor uptake was reduced by 96% and 92% compared with the accumulation observed in HEK-SST2 and HEK-SST5 tumors, respectively.

In comparison to SST2-specific radioligands, 177Lu-10 showed high early SST2-tumor uptake at 1 and 4 h p.i., declining to approximately 40% by 24 h. This profile resembles that of SST2 agonists such as [177Lu]Lu-DOTA-TATE,48 and is less favorable than that typically reported for SST2 antagonists like [177Lu]Lu-DOTA-JR1148 and [177Lu]Lu-DOTA-LM3.54 On a whole-body basis, 177Lu-10 showed higher retention in several normal organs, particularly kidneys and physiologically SST-expressing tissues, such as the pancreas, stomach, and adrenals up to 24 h, than [177Lu]Lu-DOTA-TATE. This pattern resembles that of SST2-specific antagonists [177Lu]Lu-DOTA-JR1148 and [177Lu]Lu-DOTA-LM3,54 which generally exhibit more persistent whole-body activity than agonists. Notably, the peptide mass used for biodistribution (10 pmol) was substantially lower than that used for imaging (200 pmol), potentially affecting uptake in both tumors and SST-positive normal tissues. A similar “mass effect” has been described for the high-affinity SST2 antagonist [177Lu]Lu-DOTA-JR11, for which increasing the administered mass from 10 to 200 pmol led to more rapid receptor saturation in normal organs than in tumours.48 This effect may be particularly relevant for lower-expressing targets or lower-affinity ligands and could therefore have influenced SSTR5 targeting in the imaging experiments.

As discussed earlier, the higher lipophilicity of 177Lu-10vs. [177Lu]Lu-DOTA-NOC might increase the whole-body radiation dose, as has been reported for [177Lu]Lu-DOTA-NOC vs. the more hydrophilic [177Lu]Lu-DOTA-TATE.55 On the other hand, the dual SST2/SST5 targeting of DOTA-NOC allowed [68Ga]Ga-DOTA-NOC to detect lesions that express SST5-dominant or mixed-subtype patterns, which are sub-optimally visualized with [68Ga]Ga-DOTA-TATE alone.56 [68Ga]Ga-DOTA-NOC is recognized in guidelines as a first-line PET radioligand for neuroendocrine neoplasms, interchangeable with [68Ga]Ga-DOTA-TOC and [68Ga]Ga-DOTA-TATE, and has already been used to image many patients in routine clinical practice.57,58 Its high affinity for both SST2 and SST5 may therefore provide added value when broader receptor coverage or detection of SST5-rich tumors is required. In this context, the markedly higher uptake of 177Lu-10 in SST5-expressing tumors compared with [177Lu]Lu-DOTA-NOC is of key relevance. Nevertheless, the elevated retention in normal organs may reduce the therapeutic window by increasing normal-tissue absorbed doses and the risk of organ-specific toxicity, particularly in dose-limiting tissues. Future optimization could include modifying the ligand's pharmacokinetic properties or exploiting the “mass effect”,48 discussed above.

3. Conclusion

This study provides important insights into the structural determinants of octapeptide-based ligands governing SST2 and SST5 affinity, selectivity, and antagonism. The inversion of chirality at positions 1 and 2 (l1/d2), together with the presence of an aromatic C-terminal residue, appears to be essential for achieving SST2 antagonism within the DOTA-NOC scaffold, as exemplified by 11. In contrast, the same chirality inversion is poorly tolerated for SST5 affinity, which could only be partially restored by introducing substituted aromatic residues such as Phe(4NO2) at position 1. Furthermore, SST5 antagonism was observed only when Cys at position 2 was maintained in the l-configuration. These findings indicate that the structural requirements for SST2 antagonism are largely incompatible with those governing SST5 antagonism in the DOTA-NOC scaffold. Among the ligands investigated, 10, combining the d1/l2 configuration with dTyr8-NH2, displayed the most favorable profile, exhibiting low nanomolar affinity for both SST2 and SST5 together with selective SST5 antagonism. This profile positions 10 as a promising alternative to SST2-selective ligands, with the potential to improve visualization and targeting of tumors in which SST5 expression plays a complementary or predominant role.

4. Experimental section

4.1. Materials and methods

The Nα-fluorenylmethoxycarbonyl (Fmoc)-protected amino acids, Rink Amide resin (0.67 mmol g−1) and preloaded O-t-butylthreoninol 2-chlorotrityl resin (0.5 mmol g−1) were purchased from (Iris Biotech GmbH, Marktredwitz, Germany) or Merck Novabiochem (Darmstadt, Germany), respectively. DOTA-tris(tBu)ester (DOTA(tBu)3) was obtained from CheMatech (Dijon, France). Fmoc-Phe(4Cl)-OH, ethyl cyanohydroxyiminoacetate (Oxyma) and N,N′ diisopropylcarbodiimide (DIC) were obtained from Bachem (Bubendorf, Switzerland) and CEM (Matthews, USA). [177Lu]LuCl3 (non-carrier added) was provided by ITM (Munich, Germany). All other reagents and solvents were purchased from Acros Organics (Geel, Belgium), Merck Millipore (Darmstadt Germany) and Bioconcept (Allschwil, Switzerland), and used without further purification. Detailed instrumentation is reported in SI.

4.2. Peptide synthesis and DOTA-conjugation

All the peptides were synthetized following the Fmoc/tBu strategy, either manually or assembled on the automated microwave peptide synthesizer Liberty Blue (CEM, Charlotte, NC, USA). Rink amide or 2-chlorotrityl resins were used according to the peptide structure. The coupling of the amino acids (four equivalents) was performed using DIC (N,N′-diisopropylcarbodiimide, 4 eq.) as an activator and oxyma (4 eq.) as a base, while Fmoc deprotection occurred in the presence of 20% piperidine in DMF (dimethylformamide). The formation of the disulfide bond (Cys–Cys cyclization) took place on resin, by incubation with 5 eq. of iodine diluted in DMF for 2 h. Following the addition of the last amino acid, Fmoc was deprotected and DOTA(tBu)3 (2 eq.) with HATU (2-(7-azabenzotriazol-1-yl)-N,N,N′,N′-tetramethyluronium hexafluorophosphate, 2 eq.) and DIPEA (N,N′ diisopropylethylamine, 4 eq.) was dissolved in 3 mL DMF and added to the resin. The peptides were cleaved in 95% (v/v) TFA (trifluoroacetic acid), 2.5% (v/v) TIS (triisopropylsilane), and 2.5% (v/v) H2O overnight. The peptide residue was precipitated and washed with cold diethyl ether by centrifugation. The crude peptides were purified using the semi-preparative LC-MS-2020 Shimadzu system mentioned above and characterized by LC-MS.

4.3. Radiolabeling

The 177Lu-labeled ligands were obtained by incubating 2 nmol of the ligand in 200 μL of ammonium acetate buffer (0.4 M, pH 5.0) with [177Lu]LuCl3 (20–60 MBq nmol−1, depending on the planned experiment) for 30 min at 95 °C. A small aliquot was withdrawn from the radiolabeled solution, added to Ca-DTPA (calcium diethylenetriamine pentaacetate, 0.1 M, 50 μL) and injected on the radio-RP-HPLC for quality control. To obtain a structurally homogenous ligand for the saturation binding assay, an equivalent amount of natLuCl3 × 5H2O (3 × 10−4 M) was added and the radiolabeling solution was further incubated for 30 min at 95 °C. The reaction solution was then diluted with saline to obtain the final dilutions.

4.4. log D determination

Lipophilicity was determined using the “shake-flask” method. 10 μL of the radioligand (10 pmol) were added to a pre-saturated mixture of 500 μL of octanol and 500 μL of phosphate-buffered saline (PBS), pH = 7.4, in triplicate. The solutions were then vortexed for 3–5 min, shaken for 1 h and centrifuged for 10 min at 10 000 rpm. Three aliquots of 100 μL were withdrawn from each phase and measured in the γ-counter. The distribution coefficient (log DpH=7.4) was calculated as the average log ratio value of the radioactivity in the organic and PBS fractions (log DpH=7.4 = log10 (counts in octanol phase/counts in aqueous phase)).

4.5. In vitro evaluation

4.5.1. Cell culture

The human embryonic kidney HEK-293 cell line expressing the T7-epitope tagged human SST2 receptor (HEK-SST2) and HEK-SST5 were cultured at 37 °C and 5% CO2 in Dulbecco's modified Eagle medium (DMEM) containing 10% fetal bovine serum (FBS), 100 U mL−1 penicillin, 100 mg mL−1 streptomycin, 200 μmol mL−1l-glutamine, and 500 mg mL−1 G418. The level of somatostatin receptor expression was between 800 and 1200 fmol mg−1 membrane protein.59 For the in vitro cell experiments, the plates were pre-treated with a solution of 10% (v/v) poly-l-lysine to promote cell attachment. HEK-SST2 cells were then seeded at a density of 1 × 106 cells per well in 6-well plates and incubated overnight in DMEM with 1% FBS to obtain good cell adherence. Cell membrane preparation is described in SI.

4.5.2. Cellular uptake on intact cells

On the day of the experiment, the cells were incubated with the radioligand (2.5 nM) for 1, 2 and 4 hours at 37 °C. The non-specific cellular uptake was determined by using non-transfected HEK cells in selected wells. The internalization was stopped by removing the medium and washing the cells twice with ice-cold PBS. This represented the free fraction. The cell surface-bound (acid releasable) fraction was collected with an acidic glycine solution (pH = 2.8) while the internalized fraction was obtained collecting the cells with a basic solution of NaOH (1 M). The internalized and cell surface bound fractions were quantified using a γ-counter and represented as a percentage of the total activity added per well.

4.5.3. Inhibition assay (IC50)

The half maximal inhibitory concentration (IC50) values of all non-metallated ligands were determined by competition binding with 125I-Tyr-SS-14 (Chelatec, France) on HEK-SST2 and CHO-SST5 membranes (Perkin Elmer, CHO-K1, human Somatostatin SST5 receptor, product no.: ES-522-M400UA). The procedure is detailed in SI.

4.5.4. Saturation binding assay

Saturation binding assays were conducted in HEK-SST2 and CHO-SST5 cell membranes as described in detail in the SI.

4.5.5. Functional phosphorylation assay (7TM phosphorylation assay)

Functional phosphorylation assay (7TM Phosphorylation Assay) of HA-tagged SST2 or SST5 was assessed as described in Kaufmann et al. (2022).60 A brief description of the procedure is reported in the SI.

4.6. In vivo evaluation

4.6.1. Animal models

Animal experiments were conducted in accordance with the Swiss animal welfare laws and regulations under license number 2799 granted by the Veterinary Office (Department of Health) of the Cantonal Basel-Stadt. Female athymic nude-Foxn1nu/Foxn1+ mice (Envigo, The Netherland), 4–6 weeks old, were inoculated subcutaneously either with 107 HEK-SST2 cells (SST2-positive xenografts) or HEK-SST5 (SST5-positive xenografts), freshly suspended in 100 μL sterile PBS, in the shoulder. The xenografted mice were monitored, and the tumors were allowed to grow for 3–4 weeks, reaching a volume of 100–200 mm3.

4.6.2. SPECT/CT imaging

HEK-SST2 or HEK-SST5 xenografted mice were injected intravenously with the radioligand (200 pmol/100 μL/10–15 MBq) via the tail vein. The mice were euthanized at 1 h post-injection (p.i.) and imaged supine, head first, using a SPECT/CT system dedicated to small animals (NanoSPECT/CT™ Bioscan Inc.). A helical CT scan was acquired with the following parameters: current, 177 mA; voltage, 45 kVp; pitch, 1. A helical SPECT scan was acquired using multipurpose pinhole collimators (APT1), 20% energy window width centered symmetrically over the 208 and 113 keV gpeaks of 177Lu, 24 projections, and 1200 s per projection. CT and SPECT images were reconstructed and filtered using the manufacturer's algorithm, resulting in a pixel size of 0.3 mm for the SPECT and of 0.2 mm for the CT.

4.6.3. Biodistribution studies

Quantitative biodistribution studies were performed in HEK-SST2 and HEK-SST5 xenografts for selected ligands. The radioligands were injected intravenously via the teil veil (10 pmol/100 μL/0.4–0.5 MBq) and at pre-selected time points, the mice were euthanized by CO2 asphyxiation. Blood and organs of interest were collected, blotted dry, weighed and counted in a γ-counter. The samples were counted against a suitably diluted aliquot of the injected solution as the standard. The results are expressed as percentage of injected activity per gram (% IA/g) and represent the mean ± standard deviation (SD). HEK-293 xenografts (SST-negative) were used to assess the specificity of the lead ligand, 177Lu-10, one hour after injection of 10 pmol/0.4 MBq.

4.7. Ethical statement

All animal procedures were performed in accordance with the Guidelines for Care and Use of Laboratory Animals of University of Basel and approved by the Veterinary Office (Department of Health) of the Cantonal Basel-Stadt, Switzerland.

4.8. Statistical analysis

The statistical analysis was performed using the program GraphPad Prism (version 10). The p-values were calculated via GraphPad using a t test unpaired analysis, with p < 0.05 considered statistically significant.

Author contributions

Fabienne Spinnler: methodology, validation, investigation, formal analysis, visualization, writing – original draft. Luigi Del Pozzo: investigation, validation. Lennart Bohrmann: investigation, validation. Sandra Zanger: investigation, validation. Nina Kathleen Blum: validation, formal analysis, visualization. Monique Brendel: investigation, validation. Stefan Schulz: methodology, supervision, project administration. Rosalba Mansi: conceptualization, methodology, formal analysis, visualization, supervision, project administration, writing – original draft, writing –review and editing. Melpomeni Fani: conceptualization, resources, supervision, project administration, funding acquisition, writing – review and editing. All authors read and approved the final manuscript.

Conflicts of interest

Melpomeni Fani and Stefan Schulz received research funding from ITM (Munich, Germany) related to this work. Stefan Schulz is the founder and scientific advisor of 7TM Antibodies GmbH, Jena, Germany. All other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Supplementary Material

MD-OLF-D6MD00646A-s001

Acknowledgments

We acknowledge ITM (Munich, Germany) for their financial support. We would like to acknowledge the group of Dr. Penelope Bouziotis at the National Centre for Scientific Research “DEMOKRITOS” for their support with the biodistribution studies and ITM (Munich, Germany) for kindly providing [177Lu]LuCl3.

Data availability

The data supporting this article are available in the manuscript and its supplementary information (SI).

Supplementary information is available. See DOI: https://doi.org/10.1039/d6md00646a.

References

  1. Strosberg J. et al., Phase 3 Trial of (177)Lu-Dotatate for Midgut Neuroendocrine Tumors. N. Engl. J. Med. 2017;376:125–135. doi: 10.1056/NEJMoa1607427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Strosberg J. R. et al., (177)Lu-Dotatate plus long-acting octreotide versus high-dose long-acting octreotide in patients with midgut neuroendocrine tumours (NETTER-1): final overall survival and long-term safety results from an open-label, randomised, controlled, phase 3 trial. Lancet Oncol. 2021;22:1752–1763. doi: 10.1016/S1470-2045(21)00572-6. [DOI] [PubMed] [Google Scholar]
  3. Capdevila J. et al., 1706O Efficacy, safety and subgroup analysis of 177Lu-edotreotide vs everolimus in patients with grade 1 or grade 2 GEP-NETs: Phase III COMPETE trial. Ann. Oncol. 2025;36:S941. doi: 10.1016/j.annonc.2025.08.2334. [DOI] [Google Scholar]
  4. Bauer W. et al., SMS 201-995: a very potent and selective octapeptide analogue of somatostatin with prolonged action. Life Sci. 1982;31:1133–1140. doi: 10.1016/0024-3205(82)90087-X. https://dx.doi.org/10.1016/0024-3205(82)90087-x [DOI] [PubMed] [Google Scholar]
  5. Reubi J. C. et al., Affinity profiles for human somatostatin receptor subtypes SST1-SST5 of somatostatin radiotracers selected for scintigraphic and radiotherapeutic use. Eur. J. Nucl. Med. 2000;27:273–282. doi: 10.1007/s002590050034. [DOI] [PubMed] [Google Scholar]
  6. Nicolas G. P. et al., Sensitivity Comparison of (68)Ga-OPS202 and (68)Ga-DOTATOC PET/CT in Patients with Gastroenteropancreatic Neuroendocrine Tumors: A Prospective Phase II Imaging Study. J. Nucl. Med. 2018;59:915–921. doi: 10.2967/jnumed.117.199760. [DOI] [PubMed] [Google Scholar]
  7. Wild D. et al., Comparison of somatostatin receptor agonist and antagonist for peptide receptor radionuclide therapy: a pilot study. J. Nucl. Med. 2014;55:1248–1252. doi: 10.2967/jnumed.114.138834. [DOI] [PubMed] [Google Scholar]
  8. Zhu W. et al., Head-to-Head Comparison of (68)Ga-DOTA-JR11 and (68)Ga-DOTATATE PET/CT in Patients with Metastatic, Well-Differentiated Neuroendocrine Tumors: A Prospective Study. J. Nucl. Med. 2020;61:897–903. doi: 10.2967/jnumed.119.235093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Zhu W. et al., A prospective randomized, double-blind study to evaluate the diagnostic efficacy of (68)Ga-NODAGA-LM3 and (68)Ga-DOTA-LM3 in patients with well-differentiated neuroendocrine tumors: compared with (68)Ga-DOTATATE. Eur. J. Nucl. Med. Mol. Imaging. 2022;49:1613–1622. doi: 10.1007/s00259-021-05512-y. [DOI] [PubMed] [Google Scholar]
  10. Mansi R. Plas P. Vauquelin G. Fani M. Distinct In Vitro Binding Profile of the Somatostatin Receptor Subtype 2 Antagonist [(177)Lu]Lu-OPS201 Compared to the Agonist [(177)Lu]Lu-DOTA-TATE. Pharmaceuticals. 2021;14(12):1265. doi: 10.3390/ph14121265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Cescato R. Waser B. Fani M. Reubi J. C. Evaluation of 177Lu-DOTA-sst2 antagonist versus 177Lu-DOTA-sst2 agonist binding in human cancers in vitro. J. Nucl. Med. 2011;52:1886–1890. doi: 10.2967/jnumed.111.095778. [DOI] [PubMed] [Google Scholar]
  12. Dalm S. U. et al., Comparison of the Therapeutic Response to Treatment with a 177Lu-Labeled Somatostatin Receptor Agonist and Antagonist in Preclinical Models. J. Nucl. Med. 2016;57:260–265. doi: 10.2967/jnumed.115.167007. [DOI] [PubMed] [Google Scholar]
  13. Mansi R. Fani M. Design and development of the theranostic pair (177) Lu-OPS201/(68) Ga-OPS202 for targeting somatostatin receptor expressing tumors. J. Labelled Compd. Radiopharm. 2019;62:635–645. doi: 10.1002/jlcr.3755. [DOI] [PubMed] [Google Scholar]
  14. Fani M. Mansi R. Nicolas G. P. Wild D. Radiolabeled Somatostatin Analogs-A Continuously Evolving Class of Radiopharmaceuticals. Cancers. 2022;14(5):1172. doi: 10.3390/cancers14051172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Bass R. T. et al., Identification and characterization of novel somatostatin antagonists. Mol. Pharmacol. 1996;50:709–715. doi: 10.1016/S0026-895X(25)09370-8. [DOI] [PubMed] [Google Scholar]
  16. Wild D. et al., A phase I/II study of the safety and efficacy of [(177)Lu]Lu-satoreotide tetraxetan in advanced somatostatin receptor-positive neuroendocrine tumours. Eur. J. Nucl. Med. Mol. Imaging. 2023;51:183–195. doi: 10.1007/s00259-023-06383-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Reidy-Lagunes D. et al., Phase I Trial of Well-Differentiated Neuroendocrine Tumors (NETs) with Radiolabeled Somatostatin Antagonist (177)Lu-Satoreotide Tetraxetan. Clin. Cancer Res. 2019;25:6939–6947. doi: 10.1158/1078-0432.CCR-19-1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Baum R. P. Zhang J. Schuchardt C. Muller D. Macke H. First-in-Humans Study of the SSTR Antagonist (177)Lu-DOTA-LM3 for Peptide Receptor Radionuclide Therapy in Patients with Metastatic Neuroendocrine Neoplasms: Dosimetry, Safety, and Efficacy. J. Nucl. Med. 2021;62:1571–1581. doi: 10.2967/jnumed.120.258889. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Rogoza O. Megnis K. Kudrjavceva M. Gerina-Berzina A. Rovite V. Role of Somatostatin Signalling in Neuroendocrine Tumours. Int. J. Mol. Sci. 2022;23(3):1447. doi: 10.3390/ijms23031447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Maratta M. G. et al., Somatostatin Receptor Expression of Gastroenteropancreatic Neuroendocrine Tumors: A Comprehensive Analysis in the Era of Somatostatin Receptor PET Imaging. Cancers. 2025;17(12):1937. doi: 10.3390/cancers17121937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Guenter R. et al., Overexpression of somatostatin receptor type 2 in neuroendocrine tumors for improved Ga68-DOTATATE imaging and treatment. Surgery. 2020;167:189–196. doi: 10.1016/j.surg.2019.05.092. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Mai R. et al., Different somatostatin and CXCR4 chemokine receptor expression in gastroenteropancreatic neuroendocrine neoplasms depending on their origin. Sci. Rep. 2019;9:4339. doi: 10.1038/s41598-019-39607-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Diakatou E. et al., Somatostatin and dopamine receptor profile of gastroenteropancreatic neuroendocrine tumors: an immunohistochemical study. Endocr. Pathol. 2011;22:24–30. doi: 10.1007/s12022-011-9149-8. [DOI] [PubMed] [Google Scholar]
  24. Nasir A. et al., Somatostatin receptor profiling in hepatic metastases from small intestinal and pancreatic neuroendocrine neoplasms: immunohistochemical approach with potential clinical utility. Cancer Control. 2006;13:52–60. doi: 10.1177/107327480601300108. [DOI] [PubMed] [Google Scholar]
  25. Papotti M. et al., Expression of somatostatin receptor types 1-5 in 81 cases of gastrointestinal and pancreatic endocrine tumors. A correlative immunohistochemical and reverse-transcriptase polymerase chain reaction analysis. Virchows Arch. 2002;440:461–475. doi: 10.1007/s00428-002-0609-x. [DOI] [PubMed] [Google Scholar]
  26. Sclafani F. et al., Detection of somatostatin receptor subtypes 2 and 5 by somatostatin receptor scintigraphy and immunohistochemistry: clinical implications in the diagnostic and therapeutic management of gastroenteropancreatic neuroendocrine tumors. Tumori. 2011;97:620–628. doi: 10.1177/030089161109700514. [DOI] [PubMed] [Google Scholar]
  27. Wang Y. et al., Somatostatin receptor expression indicates improved prognosis in gastroenteropancreatic neuroendocrine neoplasm, and octreotide long-acting release is effective and safe in Chinese patients with advanced gastroenteropancreatic neuroendocrine tumors. Oncol. Lett. 2017;13:1165–1174. doi: 10.3892/ol.2017.5591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Yerci O. et al., Somatostatin receptor 2 and 5 expressions in gastroenteropancreatic neuroendocrine tumors in Turkey. Asian Pac. J. Cancer Prev. 2015;16:4377–4381. doi: 10.7314/APJCP.2015.16.10.4377. https://dx.doi.org/10.7314/apjcp.2015.16.10.4377 [DOI] [PubMed] [Google Scholar]
  29. Zamora V. et al., Immunohistochemical expression of somatostatin receptors in digestive endocrine tumours. Dig. Liver Dis. 2010;42:220–225. doi: 10.1016/j.dld.2009.07.018. [DOI] [PubMed] [Google Scholar]
  30. Forssell-Aronsson E. B. et al., 111In-DTPA-D-Phe1-octreotide binding and somatostatin receptor subtypes in thyroid tumors. J. Nucl. Med. 2000;41:636–642. [PubMed] [Google Scholar]
  31. Traub T. et al., 111In-DOTA-lanreotide scintigraphy in patients with tumors of the lung. J. Nucl. Med. 2001;42:1309–1315. [PubMed] [Google Scholar]
  32. Lange F. et al., Differential somatostatin, CXCR4 chemokine and endothelin A receptor expression in WHO grade I-IV astrocytic brain tumors. J. Cancer Res. Clin. Oncol. 2018;144:1227–1237. doi: 10.1007/s00432-018-2645-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Kajtazi Y. Kaemmerer D. Sanger J. Schulz S. Lupp A. Somatostatin and chemokine CXCR4 receptor expression in pancreatic adenocarcinoma relative to pancreatic neuroendocrine tumours. J. Cancer Res. Clin. Oncol. 2019;145:2481–2493. doi: 10.1007/s00432-019-03011-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Stumpf C. et al., Somatostatin and CXCR4 expression patterns in adenocarcinoma and squamous cell carcinoma of the lung relative to small cell lung cancer. J. Cancer Res. Clin. Oncol. 2018;144:1921–1932. doi: 10.1007/s00432-018-2722-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Lupp A. et al., Reassessment of sst(5) somatostatin receptor expression in normal and neoplastic human tissues using the novel rabbit monoclonal antibody UMB-4. Neuroendocrinology. 2011;94:255–264. doi: 10.1159/000329876. [DOI] [PubMed] [Google Scholar]
  36. Wild D. et al., DOTA-NOC, a high-affinity ligand of somatostatin receptor subtypes 2, 3 and 5 for labelling with various radiometals. Eur. J. Nucl. Med. Mol. Imaging. 2003;30:1338–1347. doi: 10.1007/s00259-003-1255-5. [DOI] [PubMed] [Google Scholar]
  37. Ginj M. et al., Radiolabeled somatostatin receptor antagonists are preferable to agonists for in vivo peptide receptor targeting of tumors. Proc. Natl. Acad. Sci. U. S. A. 2006;103:16436–16441. doi: 10.1073/pnas.0607761103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Cescato R. et al., Design and in vitro characterization of highly sst2-selective somatostatin antagonists suitable for radiotargeting. J. Med. Chem. 2008;51:4030–4037. doi: 10.1021/jm701618q. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Hocart S. J. et al., Potent antagonists of somatostatin: synthesis and biology. J. Med. Chem. 1998;41:1146–1154. doi: 10.1021/jm970730q. [DOI] [PubMed] [Google Scholar]
  40. Liebow C. Reilly C. Serrano M. Schally A. V. Somatostatin analogues inhibit growth of pancreatic cancer by stimulating tyrosine phosphatase. Proc. Natl. Acad. Sci. U. S. A. 1989;86:2003–2007. doi: 10.1073/pnas.86.6.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Hofland L. J. van Koetsveld P. M. Waaijers M. Zuyderwijk J. Lamberts S. W. Relative potencies of the somatostatin analogs octreotide, BIM-23014, and RC-160 on the inhibition of hormone release by cultured human endocrine tumor cells and normal rat anterior pituitary cells. Endocrinology. 1994;134:301–306. doi: 10.1210/endo.134.1.7903931. [DOI] [PubMed] [Google Scholar]
  42. Al Musaimi O. Lombardi L. Williams D. R. Albericio F. Strategies for Improving Peptide Stability and Delivery. Pharmaceuticals. 2022;15(10):1283. doi: 10.3390/ph15101283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Ginj M. et al., Preclinical evaluation of new and highly potent analogues of octreotide for predictive imaging and targeted radiotherapy. Clin. Cancer Res. 2005;11:1136–1145. doi: 10.1158/1078-0432.1136.11.3. [DOI] [PubMed] [Google Scholar]
  44. Hocart S. J. Jain R. Murphy W. A. Taylor J. E. Coy D. H. Highly potent cyclic disulfide antagonists of somatostatin. J. Med. Chem. 1999;42:1863–1871. doi: 10.1021/jm9806289. [DOI] [PubMed] [Google Scholar]
  45. McStay M. K. et al., Large-volume liver metastases from neuroendocrine tumors: hepatic intraarterial 90Y-DOTA-lanreotide as effective palliative therapy. Radiology. 2005;237:718–726. doi: 10.1148/radiol.2372041203. [DOI] [PubMed] [Google Scholar]
  46. Virgolini I. et al., In- and Y-DOTA-lanreotide: results and implications of the MAURITIUS trial. Semin. Nucl. Med. 2002;32:148–155. doi: 10.1053/snuc.2002.31565. [DOI] [PubMed] [Google Scholar]
  47. Cescato R. et al., Internalization of sst2, sst3, and sst5 receptors: effects of somatostatin agonists and antagonists. J. Nucl. Med. 2006;47:502–511. [PubMed] [Google Scholar]
  48. Nicolas G. P. et al., Biodistribution, Pharmacokinetics, and Dosimetry of (177)Lu-, (90)Y-, and (111)In-Labeled Somatostatin Receptor Antagonist OPS201 in Comparison to the Agonist (177)Lu-DOTATATE: The Mass Effect. J. Nucl. Med. 2017;58:1435–1441. doi: 10.2967/jnumed.117.191684. [DOI] [PubMed] [Google Scholar]
  49. Imperiale A. et al., The Emergence of Somatostatin Antagonist-Based Theranostics: Paving the Road Toward Another Success? J. Nucl. Med. 2023;64:682–684. doi: 10.2967/jnumed.123.265406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Hoare S. R. J. The Problems of Applying Classical Pharmacology Analysis to Modern In Vitro Drug Discovery Assays: Slow Binding Kinetics and High Target Concentration. SLAS Discovery. 2021;26:835–850. doi: 10.1177/24725552211019653. [DOI] [PubMed] [Google Scholar]
  51. Bo Q. et al., Structural insights into the activation of somatostatin receptor 2 by cyclic SST analogues. Cell Discovery. 2022;8:47. doi: 10.1038/s41421-022-00405-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Li J. et al., Structural basis for activation of somatostatin receptor 5 by cyclic neuropeptide agonists. Proc. Natl. Acad. Sci. U. S. A. 2024;121:e2321710121. doi: 10.1073/pnas.2321710121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Li Y. G. et al., Structural insights into somatostatin receptor 5 bound with cyclic peptides. Acta Pharmacol. Sin. 2024;45:2432–2440. doi: 10.1038/s41401-024-01314-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Mansi R. et al., Pyridyl-Ala in the third position of radiolabeled somatostatin antagonists: the effect of regioisomeric substitution. EJNMMI Radiopharm. Chem. 2025;10:35. doi: 10.1186/s41181-025-00363-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Wehrmann C. Senftleben S. Zachert C. Muller D. Baum R. P. Results of individual patient dosimetry in peptide receptor radionuclide therapy with 177Lu DOTA-TATE and 177Lu DOTA-NOC. Cancer Biother. Radiopharm. 2007;22:406–416. doi: 10.1089/cbr.2006.325. [DOI] [PubMed] [Google Scholar]
  56. Wild D. et al., Comparison of 68Ga-DOTANOC and 68Ga-DOTATATE PET/CT within patients with gastroenteropancreatic neuroendocrine tumors. J. Nucl. Med. 2013;54:364–372. doi: 10.2967/jnumed.112.111724. [DOI] [PubMed] [Google Scholar]
  57. Bonazzi N. et al., Real-Life Use of [68Ga]Ga-DOTANOC PET/CT in Confirmed and Suspected NETs from a Prospective 5-Year Electronic Archive at an ENETS Center of Excellence: More Than 2000 Scans in More Than 1500 Patients. Cancers. 2024;16(4):701. doi: 10.3390/cancers16040701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Bozkurt M. F. et al., Guideline for PET/CT imaging of neuroendocrine neoplasms with (68)Ga-DOTA-conjugated somatostatin receptor targeting peptides and (18)F-DOPA. Eur. J. Nucl. Med. Mol. Imaging. 2017;44:1588–1601. doi: 10.1007/s00259-017-3728-y. [DOI] [PubMed] [Google Scholar]
  59. Lesche S. Lehmann D. Nagel F. Schmid H. A. Schulz S. Differential effects of octreotide and pasireotide on somatostatin receptor internalization and trafficking in vitro. J. Clin. Endocrinol. Metab. 2009;94:654–661. doi: 10.1210/jc.2008-1919. [DOI] [PubMed] [Google Scholar]
  60. Kaufmann J. et al., A bead-based GPCR phosphorylation immunoassay for high-throughput ligand profiling and GRK inhibitor screening. Commun. Biol. 2022;5:1206. doi: 10.1038/s42003-022-04135-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

MD-OLF-D6MD00646A-s001

Data Availability Statement

The data supporting this article are available in the manuscript and its supplementary information (SI).

Supplementary information is available. See DOI: https://doi.org/10.1039/d6md00646a.


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