MLchartDataset catalogue

donor-derived cytokine-induced memory-like natural killer cells

Term · Oncology and biomedicine · MLC-T-ONC-013144

A population of donor-derived cytokine-induced, memory-like, cytotoxic natural killer (NK) cells (CIML NKs), with potential antitumor activity. Allogeneic NK cells are pre-activated ex vivo with various cytokines, which induces the differentiation of the NK cells into CIML NK cells. The pretreated NK cells exhibit enhanced activation and interferon-gamma (IFN-g) responses, and may exert enhanced cytotoxicity against tumor cells. Upon administration, the CIML NKs may induce an anti-tumor immune response and kill tumor cells.

Table 1. Record
IdentifierMLC-T-ONC-013144
FieldOncology and biomedicine
SynonymsCIML-NK cells; allogeneic cytokine-induced memory-like NK cell; allogeneic CIML NK cells; allogeneic CIML NKs
ReferencesNational Cancer Institute Thesaurus (CC BY 4.0)
Record as JSON
{
  "id": "MLC-T-ONC-013144",
  "term": "donor-derived cytokine-induced memory-like natural killer cells",
  "field": "Oncology and biomedicine",
  "definition": "A population of donor-derived cytokine-induced, memory-like, cytotoxic natural killer (NK) cells (CIML NKs), with potential antitumor activity. Allogeneic NK cells are pre-activated ex vivo with various cytokines, which induces the differentiation of the NK cells into CIML NK cells. The pretreated NK cells exhibit enhanced activation and interferon-gamma (IFN-g) responses, and may exert enhanced cytotoxicity against tumor cells. Upon administration, the CIML NKs may induce an anti-tumor immune response and kill tumor cells.",
  "synonyms": [
    "CIML-NK cells",
    "allogeneic cytokine-induced memory-like NK cell",
    "allogeneic CIML NK cells",
    "allogeneic CIML NKs"
  ],
  "references": [
    "National Cancer Institute Thesaurus"
  ],
  "url": "https://mlchart.com/terminology/oncology/donor-derived-cytokine-induced-memory-like-natural-killer-cells/"
}

Record 6,179 of 17,721 in Oncology and biomedicine terminology (MLC-0111). Request the full dataset.