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 PMID:22624713  

Lunatic fringe deficiency cooperates with the Met/Caveolin gene amplicon to induce basal-like breast cancer.

Keli Xu | Jerry Usary | Philaretos C Kousis | Aleix Prat | Dong-Yu Wang | Jessica R Adams | Wei Wang | Amanda J Loch | Tao Deng | Wei Zhao | Robert Darrell Cardiff | Keejung Yoon | Nicholas Gaiano | Vicki Ling | Joseph Beyene | Eldad Zacksenhaus | Tom Gridley | Wey L Leong | Cynthia J Guidos | Charles M Perou | Sean E Egan
Cancer cell | 2012

Basal-like breast cancers (BLBC) express a luminal progenitor gene signature. Notch receptor signaling promotes luminal cell fate specification in the mammary gland, while suppressing stem cell self-renewal. Here we show that deletion of Lfng, a sugar transferase that prevents Notch activation by Jagged ligands, enhances stem/progenitor cell proliferation. Mammary-specific deletion of Lfng induces basal-like and claudin-low tumors with accumulation of Notch intracellular domain fragments, increased expression of proliferation-associated Notch targets, amplification of the Met/Caveolin locus, and elevated Met and Igf-1R signaling. Human BL breast tumors, commonly associated with JAGGED expression, elevated MET signaling, and CAVEOLIN accumulation, express low levels of LFNG. Thus, reduced LFNG expression facilitates JAG/NOTCH luminal progenitor signaling and cooperates with MET/CAVEOLIN basal-type signaling to promote BLBC.

Pubmed ID: 22624713

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: P50-CA58223-09A1
  • Agency: NICHD NIH HHS, United States
    Id: R01 HD034883
  • Agency: NCI NIH HHS, United States
    Id: R01 CA148761
  • Agency: NCI NIH HHS, United States
    Id: P50 CA058223
  • Agency: NCI NIH HHS, United States
    Id: R01-CA138255
  • Agency: NCI NIH HHS, United States
    Id: R01-CA148761
  • Agency: NCI NIH HHS, United States
    Id: R01 CA138255
  • Agency: CIHR, Canada

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_007303

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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