MLchartDataset catalogue

gallium Ga 68 NODAGA-CBP8

Term · Oncology and biomedicine · MLC-T-ONC-013830

A radiotracer composed of CBP8, a collagen-targeting peptide, linked via a tris(tert-butyl) ester-protected 1,4,7-triazacyclononane,1-glutaric acid-4,7-acetic acid (NODAGA) chelator, to the radioisotope gallium Ga 68, with potential imaging activity upon positron emission tomography/computed tomography (PET/CT). Upon administration, gallium Ga 68 NODAGA-CBP8 selectively binds with high affinity to collagen type 1. Upon PET/CT imaging, gallium Ga 68 NODAGA-CBP8 can be used to detect lung fibrosis, which is characterized by excess deposition of collagens, primarily type 1 collagen, and other extracellular matrix proteins in the parenchyma.

Table 1. Record
IdentifierMLC-T-ONC-013830
FieldOncology and biomedicine
Synonyms[68Ga]CBP8; [68Ga]CBP-8; gallium-68 NODAGA-CBP8
ReferencesNational Cancer Institute Thesaurus (CC BY 4.0)
Record as JSON
{
  "id": "MLC-T-ONC-013830",
  "term": "gallium Ga 68 NODAGA-CBP8",
  "field": "Oncology and biomedicine",
  "definition": "A radiotracer composed of CBP8, a collagen-targeting peptide, linked via a tris(tert-butyl) ester-protected 1,4,7-triazacyclononane,1-glutaric acid-4,7-acetic acid (NODAGA) chelator, to the radioisotope gallium Ga 68, with potential imaging activity upon positron emission tomography/computed tomography (PET/CT). Upon administration, gallium Ga 68 NODAGA-CBP8 selectively binds with high affinity to collagen type 1. Upon PET/CT imaging, gallium Ga 68 NODAGA-CBP8 can be used to detect lung fibrosis, which is characterized by excess deposition of collagens, primarily type 1 collagen, and other extracellular matrix proteins in the parenchyma.",
  "synonyms": [
    "[68Ga]CBP8",
    "[68Ga]CBP-8",
    "gallium-68 NODAGA-CBP8"
  ],
  "references": [
    "National Cancer Institute Thesaurus"
  ],
  "url": "https://mlchart.com/terminology/oncology/gallium-ga-68-nodaga-cbp8/"
}

Record 7,710 of 17,721 in Oncology and biomedicine terminology (MLC-0111). Request the full dataset.