| Literature DB >> 34944626 |
Maria Isabel Del Olmo-Garcia1,2, Stefan Prado-Wohlwend3, Alexia Andres1, Jose M Soriano2,4, Pilar Bello3, Juan Francisco Merino-Torres1,2.
Abstract
Neuroendocrine neoplasms (NENs) are heterogeneous neoplasms which arise from neuroendocrine cells that are distributed widely throughout the body. Although heterogenous, many of them share their ability to overexpress somatostatin receptors (SSTR) on their cell surface. Due to this, SSTR and somatostatin have been a large subject of interest in the discovery of potential biomarkers and treatment options for the disease. The aim of this review is to describe the molecular characteristics of somatostatin and somatostatin receptors and its application in diagnosis and therapy on patients with NENs as well as the use in the near future of somatostatin antagonists.Entities:
Keywords: 68Ga PET; LU-DOTA-TATE; neuroendocrine neoplasms; peptide receptor radionuclide therapy; somatostatin analogues; somatostatin antagonists; somatostatin receptors
Year: 2021 PMID: 34944626 PMCID: PMC8699000 DOI: 10.3390/biomedicines9121810
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Figure 1Representation of the location of the gene that codes for SST on chromosome three. DNA is transcribed into RNA and then translated to produce the peptide “pre-proSST”. It is cleaved enzymatically at locations indicated in red, producing isoforms SST-14 and SST-28 [5].
Figure 2Representation of the ligand–receptor interaction between SST and SSTR (lock and key), which sets off a cascade of signals inside the cell. Inhibition of AC activity and Ca2+ influx results in cell cycle arrest and halts hormone transfer as indicated. Accumulation of K+ inside the cell causes hyper-polarization and pauses communicative activity. Apoptosis, or cell death, is favored. X = cascade signaling which is blocked when SST interacts with SSTR.
Figure 3Comparison between somatostatin receptor functional images in a patient with midgut NET. (A). [99mTc] EDDA-HYNIC-Thr3-octreotide whole body scan in anterior and posterior projection. (B). [99mTc] EDDA-HYNIC-Thr3-octreotide SPECT/CT. Up to the left 3D reconstruction. Up to the right and down, SPECT/CT fusion in coronal and axial slices. (C). [68Ga]Ga-DOTA-TOC PET/CT. Up to the left maximum intensity projection. Up to the right and down PET/CT fusion in coronal and axial slices. The arrows point out the primary midgut NET and a mesenteric mass overexpressing somatostatin receptors.
Overall sensitivity and specificity comparing 111In-DTPA-Pentetreotide SPECT/CT and 68Ga-DOTA-SSA PET/CT.
| SSTR Imaging | Sensitivity | Specificity |
|---|---|---|
| 68Ga-DOTA-SSA PET/CT | 93% (70–100%) [ | 96% (67–100%) |
| 111In-DTPA-Pentetreotide SPECT/CT | 72% (58–75%) [ | 93% (77–99%) |
Comparison between PROMID and CLARINET studies. PPI: proton pump inhibitors.
| Characteristics | Promid | Clarinet |
|---|---|---|
| Number of patients | 85 | 204 |
| Localization | Midgut | Midgut, foregut, pancreas, primary unknown |
| Grade | 1 (Ki-67 ≤ 2%) | 1, 2 (ki67 < 10%) |
| Funcionality | Functioning | Non functioning |
| Liver burden | ≤25%: 67.1% | ≤25%: 66% |
| SSTR expression | Positive/negative | Positive |
| Treatment | Octreotide LAR 30 mg/28 days | Lanreotide 120 mg/28 days |
| Primary objective | Time to progression (months) | Progression free survival (months) |
| Results | Stable disease: 66.7% vs. 37.2% | Progression free survival |
Figure 4Schematic representation of PRRT-Lu treatment and whole body distribution scan 24 h post-PRRT treatment.
Results comparing disease response and control rate of PRRT in NETs.
| Study | Study Design | Dose (GBq) | Number of Cycles | Nº Patients | Disease Response Rate (%) | Disease Control Rate (%) |
|---|---|---|---|---|---|---|
| Sward | Retrospective | 8 | 4–5 | 16 | RECIST | RECIST |
| Van Vliet | Retrospective | 3.7–7.4 | 4 | 257 | RECIST | RECIST |
| Ezziddin et al. | Retrospective | 8 | 4 | 68 | RECIST | RECIST |
| Sabe et al. | Retrospective | 7.9 | 4 | 61 | RECIST | RECIST |
| Bodei et al. | Retrospective | 3.7–6.5 | 4 | 54 | RECIST | RECIST |
| Soydal et al. | Retrospective | 7.4 | 4–8 | 29 | RECIST | RECIST |
| Hamditibar et al. | Retrospective | 7.4 | 1–6 | 28 | RECIST | RECIST |
| de Prette et al. (2017) [ | Retrospective | 5.9–15.9 | 4 | 23 | RECIST | RECIST |
| Khalshetty et al. (2019) [ | Retrospective | 5.55 | 4 | 46 | RECIST | RECIST |
| Sansovini et al. (2013) [ | Prospective | 3.7–5.5 | 5 | 52 | SWOG | SWOG |
| Bodei et al. (2011) [ | Phase I/II | 3.7–7.4 | 4–6 | 51 | RECIST | RECIST |
| Delpassand et al. (2014) [ | Phase II | 7.4 | 1–4 | 32 | RECIST | RECIST |
| Paganelli et al. (2014) [ | Phase II | 3.7–5.5 | 5 | 43 | SWOG | SWOG |
| del Prete et al. (2018) [ | Phase II | 7.4 | 4 | 11 | RECIST | RECIST |
| Strosberg et al. (2016) [ | Phase III | 7.4 | 4 | 101 | RECIST | RECIST |