Evidence map›Paper›PMID 25973333›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2015

Dosimetry of [(177)Lu]-DO3A-VS-Cys(40)-Exendin-4 - impact on the feasibility of insulinoma internal radiotherapy.

Irina Velikyan, Thomas N Bulenga, Ramkumar Selvaraju, Mark Lubberink, Daniel Espes, Ulrika Rosenström, Olof Eriksson

Open access · greenAbstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Multivalent γ-PGA-Exendin-4 Conjugates to Target Pancreatic β-Cells.Chembiochem : a European journal of chemical biology · 2022
    Article
  8. Article
  9. Review
  10. Beta Cell Imaging-From Pre-Clinical Validation to First in Man Testing.International journal of molecular sciences · 2020
    Review
  11. Review
  12. Article
  13. Article
  14. Targets and probes for non-invasive imaging of β-cells.European journal of nuclear medicine and molecular imaging · 2017
    Review
  15. Review
  16. Article
  17. Fully automated GMP production of [American journal of nuclear medicine and molecular imaging · 2017
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Irina VelikyanDepartment of Medicinal Chemistry, Preclinical PET Platform, Uppsala University SE-75183 Uppsala, Sweden ; PET-Centre, Centre for Medical Imaging, Uppsala University Hospital Uppsala, Sweden ; Department of Radiology, Oncology, and Radiation Science, Uppsala University SE-75285 Uppsala, Sweden.
Thomas N BulengaDepartment of Medicinal Chemistry, Preclinical PET Platform, Uppsala University SE-75183 Uppsala, Sweden.
Ramkumar SelvarajuDepartment of Medicinal Chemistry, Preclinical PET Platform, Uppsala University SE-75183 Uppsala, Sweden.
Mark LubberinkPET-Centre, Centre for Medical Imaging, Uppsala University Hospital Uppsala, Sweden ; Department of Radiology, Oncology, and Radiation Science, Uppsala University SE-75285 Uppsala, Sweden.
Daniel EspesDepartment of Medical Cell Biology, Uppsala University SE-75285 Uppsala, Sweden.
Ulrika RosenströmDepartment of Medicinal Chemistry, Preclinical PET Platform, Uppsala University SE-75183 Uppsala, Sweden.
Olof ErikssonDepartment of Medicinal Chemistry, Preclinical PET Platform, Uppsala University SE-75183 Uppsala, Sweden.
Uppsala University · SEUppsala University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[(68)Ga]-DO3A-VS-Cys(40)-Exendin-4 has been shown to be a promising imaging candidate for targeting glucagon like peptide-1 receptor (GLP-1R). In the light of radiotheranostics and personalized medicine the (177)Lu-labelled analogue is of paramount interest. In this study we have investigated the organ distribution of [(177)Lu]-DO3A-VS-Cys(40)-Exendin-4 in rat and calculated human dosimetry parameters in order to estimate the maximal acceptable administered radioactivity, and thus potential applicability of [(177)Lu]-DO3A-VS-Cys(40)-Exendin-4 for internal radiotherapy of insulinomas. Nine male and nine female Lewis rats were injected with [(177)Lu]-DO3A-VS-Cys(40)-Exendin-4 for ex vivo organ distribution study at nine time points. The estimation of human organ/total body absorbed and total effective doses was performed using Organ Level Internal Dose Assessment Code software (OLINDA/EXM 1.1). Six more rats (male: n = 3; female: n = 3) were scanned by single photon emission tomography and computed tomography (SPECT-CT). The renal function and potential cell dysfunction were monitored by creatinine ISTAT and glucose levels. The fine uptake structure of kidney and pancreas was investigated by ex vivo autoradiography. Blood clearance and washout from most of the organs was fast. The kidney was the dose-limiting organ with absorbed dose of 5.88 and 6.04 mGy/MBq, respectively for female and male. Pancreatic beta cells demonstrated radioactivity accumulation. Renal function and beta cell function remained unaffected by radiation. The absorbed dose of [(177)Lu]-DO3A-VS-Cys(40)-Exendin-4 to kidneys may limit the clinical application of the agent. However, hypothetically, kidney protection and peptidase inhibition may allow reduction of kidney absorbed dose and amplification of tumour absorbed doses.

Indexed as

dosimetryExendin-4imaginginsulinomaLu-177radiotherapy

Identifiers

PMID25973333
PMCPMC4396004
OpenAlexW1577038563

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.