CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. CIViC is committed to open-source code, open-access content, public application programming interfaces (APIs) and provenance of supporting evidence to allow for the transparent creation of current and accurate variant interpretations for use in cancer precision medicine.
Elevated MET receptor tyrosine kinase correlates with poor outcome in breast cancer, yet the reasons for this are poorly understood. We thus generated a transgenic mouse model targeting expression of an oncogenic Met receptor (Met mt ) to the mammary epithelium. We show that Met mt induces mammary tumors with multiple phenotypes. These reflect tumor subtypes with gene expression and immunostaining profiles sharing similarities to human basal and luminal breast cancers. Within the basal subtype, Met mt induces tumors with signatures of WNT and epithelial to mesenchymal transition (EMT). Among human breast cancers, MET is primarily elevated in basal and ERBB2-positive subtypes with poor prognosis, and we show that MET, together with EMT marker, SNAIL, are highly predictive of poor prognosis in lymph nodenegative patients. By generating a unique mouse model in which the Met receptor tyrosine kinase is expressed in the mammary epithelium, along with the examination of MET expression in human breast cancer, we have established a specific link between MET and basal breast cancer. This work identifies basal breast cancers and, additionally, poor-outcome breast cancers, as those that may benefit from anti-MET receptor therapies.gene expression profiling ͉ mouse models ͉ epithelial to mesenchymal transition B reast cancer is a heterogeneous disease that comprises distinct biological entities that are correlated with diverse clinical outcomes and responses to treatment. Gene expression profiling and molecular pathology have revealed that breast cancers naturally divide into the luminal, ERBB2-positive, and basal-like subtypes (1, 2). These subtypes were named to reflect gene expression patterns of the 2 principal cell types of the differentiated breast, luminal epithelial cells lining the duct and lobule, and myoepithelial cells that form a single layer surrounding the luminal cells. The luminal subtype comprises ϳ60% of breast cancers, is estrogen receptor (ESR1)-positive, and expresses ESR1-responsive genes and luminal markers such as keratin 8/18. Up to 25% of breast cancers are identified with overexpression/amplification of the ERBB2 receptor tyrosine kinase, and these tumors are generally ESR1/ progesterone receptor (PGR)-negative. The basal group is characterized as ESR1/PGR/ERBB2-negative and is frequently positive for basal keratins 5/6 (3, 4). Breast cancers within the luminal subtype receive antiestrogen therapies and tend to have a good prognosis. Because of the lack of treatment options, patients within the basal subtype historically have a poor prognosis (1). Hence, an understanding of the signaling pathways active in these tumors is crucial for the generation of targeted therapies.The MET receptor tyrosine kinase, which is the receptor for hepatocyte growth factor/scatter factor (HGF/SF), is expressed at elevated levels in 15-20% of human breast cancers (5), and is a prognostic factor for poor outcome (6, 7). High levels of the MET receptor ligand HGF/SF in the serum of breast cancer patients is also correl...
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