Aliases:This biomarker is also known as:
- v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene-like protein,
- p145 c-kit,
- proto-oncogene c-Kit,
- Piebald trait,
- tyrosine-protein kinase Kit,
- v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog,
- Piebald trait protein,
- CD117 antigen,
- soluble KIT variant 1,
- proto-oncogene tyrosine-protein kinase Kit,
- mast/stem cell growth factor receptor Kit,
SCF-sR, also known as KIT, is the human homolog of the proto-oncogene c-kit. C-kit was first identified as the cellular homolog of the feline sarcoma viral oncogene v-kit. Human KIT is a tyrosine-protein kinase that acts as cell-surface receptor for the cytokine KITLG/SCF and plays an essential role in the regulation of cell survival and proliferation, hematopoiesis, stem cell maintenance, gametogenesis, mast cell development, migration and function, and in melanogenesis. KIT is a type 3 transmembrane receptor for MGF (mast cell growth factor, also known as stem cell factor). Mutations in this gene are associated with gastrointestinal stromal tumors, mast cell disease, acute myelogenous lukemia, and piebaldism. Multiple transcript variants encoding different isoforms have been found for this gene.
There are no datasets associated with this biomarker.
The following organs have data associated with this biomarker…
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KIT is known to be expressed in poorly differentiated breast cancer. (PMID:17867595). KIT is also thought to be a possible prognostic marker and possible molecular target for therapy in patients with BLBC. (PMID: 23319435)
KIT was one of numerous potential early detection biomarkers specific to triple-negative breast cancer in multiple pathways identified.
KIT has not been identified previously in serum as a lung cancer biomarker and represents a novel finding in the aptamer proteomic technology study (Ostroff et al, 2010).
SCF-sR, also known as KIT, is a member of a 12 protein panel that can discriminate NSCLC from controls with 91% sensitivity and 84% specificity in cross-validated training and 89% sensitivity and 83% specificity in a separate verification set, with similar performance for early and late stage NSCLC.
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