Evidence map›Paper›PMID 24900199›Full record

ArticleACS medicinal chemistry letters2010

Synthesis of a (68)ga-labeled peptoid-Peptide hybrid for imaging of neurotensin receptor expression in vivo.

Simone Maschauer, Jürgen Einsiedel, Carsten Hocke, Harald Hübner, Torsten Kuwert, Peter Gmeiner, Olaf Prante

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
  2. Cationic Peptoids for Systemic In Vivo Cartilage-Targeting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Preclinical PET Imaging of NTSR-1-Positive Tumors withCancer biotherapy & radiopharmaceuticals · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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.

Simone MaschauerLaboratory of Molecular Imaging, Clinic of Nuclear Medicine, Friedrich-Alexander University, Schwabachanlage 6, D-91054 Erlangen, Germany.
Jürgen EinsiedelDepartment of Chemisty and Pharmacy, Emil Fischer Center.
Carsten HockeLaboratory of Molecular Imaging, Clinic of Nuclear Medicine, Friedrich-Alexander University, Schwabachanlage 6, D-91054 Erlangen, Germany.
Harald HübnerDepartment of Chemisty and Pharmacy, Emil Fischer Center.
Torsten KuwertLaboratory of Molecular Imaging, Clinic of Nuclear Medicine, Friedrich-Alexander University, Schwabachanlage 6, D-91054 Erlangen, Germany.
Peter GmeinerDepartment of Chemisty and Pharmacy, Emil Fischer Center.
Olaf PranteLaboratory of Molecular Imaging, Clinic of Nuclear Medicine, Friedrich-Alexander University, Schwabachanlage 6, D-91054 Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neurotensin receptor subtype 1 (NTS1) represents an attractive molecular target for imaging various tumors. Positron emission tomography (PET) gained widespread importance due to its sensitivity. We combined the design of a metabolically stable neurotensin analogue with a (68)Ga-radiolabeling approach. The (68)Ga-labeled peptoid-peptide hybrid [(68)Ga]3 revealed high stability, specific tumor uptake (0.7%ID/g, 65 min p.i.), and advantageous biokinetics in vivo using HT29 tumor-bearing nude mice. Because of the ability to internalize into NTS1-expressing tumor cells, [(68)Ga]3 proved to be highly suitable for a reliable and practical visualization of NTS1-expressing tumors in vivo by small animal PET.

Indexed as

gallium-68Neurotensinneurotensin receptorpeptidepositron emission tomography (PET)

Identifiers

PMID24900199
PMCPMC4007950

What OpenQuestion holds

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Registered trials

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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.