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We show that BRAF(V600E) initiates an alternative pathway to colorectal cancer (CRC), which progresses through a hyperplasia/adenoma/carcinoma sequence. This pathway underlies significant subsets of CRCs with distinctive pathomorphologic/genetic/epidemiologic/clinical characteristics. Genetic and functional analyses in mice revealed a series of stage-specific molecular alterations driving different phases of tumor evolution and uncovered mechanisms underlying this stage specificity. We further demonstrate dose-dependent effects of oncogenic signaling, with physiologic Braf(V600E) expression being sufficient for hyperplasia induction, but later stage intensified Mapk-signaling driving both tumor progression and activation of intrinsic tumor suppression. Such phenomena explain, for example, the inability of p53 to restrain tumor initiation as well as its importance in invasiveness control, and the late stage specificity of its somatic mutation. Finally, systematic drug screening revealed sensitivity of this CRC subtype to targeted therapeutics, including Mek or combinatorial PI3K/Braf inhibition.
Proto-Oncogene Proteins B-raf, Cancer Research, MAP Kinase Signaling System, Cell Biology, Article, Neoplasm Proteins, Mice, Cell Transformation, Neoplastic, Oncology, Mutation, Animals, Microsatellite Instability, Neoplasm Invasiveness, Drug Screening Assays, Antitumor, Tumor Suppressor Protein p53, Colorectal Neoplasms, Wnt Signaling Pathway, Cyclin-Dependent Kinase Inhibitor p16, Phosphoinositide-3 Kinase Inhibitors
Proto-Oncogene Proteins B-raf, Cancer Research, MAP Kinase Signaling System, Cell Biology, Article, Neoplasm Proteins, Mice, Cell Transformation, Neoplastic, Oncology, Mutation, Animals, Microsatellite Instability, Neoplasm Invasiveness, Drug Screening Assays, Antitumor, Tumor Suppressor Protein p53, Colorectal Neoplasms, Wnt Signaling Pathway, Cyclin-Dependent Kinase Inhibitor p16, Phosphoinositide-3 Kinase Inhibitors
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
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