MLchartDataset catalogue

anti-TF monoclonal antibody ALT-836

Term · Oncology and biomedicine · MLC-T-ONC-011108

A recombinant human-mouse chimeric monoclonal antibody against human tissue factor (TF), with potential antiangiogenic, anticoagulant and anti-inflammatory activities. Upon administration, anti-TF monoclonal antibody ALT-836 binds to TF or the TF-Factor VIIa (FVIIa) complex preventing binding and activation of Factor X (FX) and Factor IX (FIX). This may prevent thrombin formation and cancer-associated venous thromboembolism, and may inhibit angiogenesis and tumor cell proliferation. TF, a transmembrane protein and procoagulant, is overexpressed in many tumor cell types, and is correlated with metastasis, angiogenesis, tumor growth and tumor-associated thrombosis.

Table 1. Record
IdentifierMLC-T-ONC-011108
FieldOncology and biomedicine
Synonymsanti-TF moAb ALT-836
ReferencesNational Cancer Institute Thesaurus (CC BY 4.0)
Record as JSON
{
  "id": "MLC-T-ONC-011108",
  "term": "anti-TF monoclonal antibody ALT-836",
  "field": "Oncology and biomedicine",
  "definition": "A recombinant human-mouse chimeric monoclonal antibody against human tissue factor (TF), with potential antiangiogenic, anticoagulant and anti-inflammatory activities. Upon administration, anti-TF monoclonal antibody ALT-836 binds to TF or the TF-Factor VIIa (FVIIa) complex preventing binding and activation of Factor X (FX) and Factor IX (FIX). This may prevent thrombin formation and cancer-associated venous thromboembolism, and may inhibit angiogenesis and tumor cell proliferation. TF, a transmembrane protein and procoagulant, is overexpressed in many tumor cell types, and is correlated with metastasis, angiogenesis, tumor growth and tumor-associated thrombosis.",
  "synonyms": [
    "anti-TF moAb ALT-836"
  ],
  "references": [
    "National Cancer Institute Thesaurus"
  ],
  "url": "https://mlchart.com/terminology/oncology/anti-tf-monoclonal-antibody-alt-836/"
}

Record 2,251 of 17,721 in Oncology and biomedicine terminology (MLC-0111). Request the full dataset.