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Earlier studies reported allelic deletion of the essential autophagy regulator BECN1 in breast cancers implicating BECN1 loss, and likely defective autophagy, in tumorigenesis. Recent studies have questioned the tumor suppressive role of autophagy, as autophagy-related gene (Atg) defects generally suppress tumorigenesis in well-characterized mouse tumor models. We now report that, while it delays or does not alter mammary tumorigenesis driven by Palb2 loss or ERBB2 and PyMT overexpression, monoallelic Becn1 loss promotes mammary tumor development in 2 specific contexts, namely following parity and in association with wingless-type MMTV integration site family, member 1 (WNT1) activation. Our studies demonstrate that Becn1 heterozygosity, which results in immature mammary epithelial cell expansion and aberrant TNFRSF11A/TNR11/RANK (tumor necrosis factor receptor superfamily, member 11a, NFKB activator) signaling, promotes mammary tumorigenesis in multiparous FVB/N mice and in cooperation with the progenitor cell-transforming WNT1 oncogene. Similar to our Becn1+/−;MMTV-Wnt1 mouse model, low BECN1 expression and an activated WNT pathway gene signature correlate with the triple-negative subtype, TNFRSF11A axis activation and poor prognosis in human breast cancers. Our results suggest that BECN1 may have nonautophagy-related roles in mammary development, provide insight in the seemingly paradoxical roles of BECN1 in tumorigenesis, and constitute the basis for further studies on the pathophysiology and treatment of clinically aggressive triple negative breast cancers (TNBCs).  相似文献   
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Autism is a severe neurodevelopmental disorder, which typically emerges in early childhood. Most cases of autism have not been linked to mutations in a specific gene, and the etioloty of the disorder remains to be established [S.S. Moy, J.J. Nadler, T.R. Magnuson, J.N. Crawley, Mouse models of autism spectrum disorders: the challenge for behavioral genetics, Am. J. Med. Genet. 142 (2006) 40-51]. Fragile X syndrome is caused by mutation in the FMR1 gene and is characterized by mental retardation, physical abnormalities, and, in most case, autistic-like behavior [R.J. Hagerman, A.W. Jackson, A. Levitas, B. Rimland, M. Braden, An analysis of autism in fifty males with the Fragile X syndrome, Am. J. Med. Genet. 23 (1986) 359-374, C.E. Bakker, C. Verheij, R. Willemsen, R. van der Helm, F. Oerlemans, M. Vermeij, A. Bygrave, A.T. Hoogeveen, B.A. Oostra, E. Reyniers, K. De Boulle, R. D’Hooge, P. Cras, D. van Velzen, G. Nagels, J.J. Marti, P. De Deyn, J.K. Darby, P.J. Willems, Fmr1 knockout mice: a model to study Fragile X mental retardation, Cell 78 (1994) 23-33]. The FMR1 knockout (KO) mouse is one of the best characterized animal models for human disorders associated with autism [S.S. Moy, J.J. Nadler, T.R. Magnuson, J.N. Crawley, Mouse models of autism spectrum disorders: the challenge for behavioral genetics, Am. J. Med. Genet. 142 (2006) 40-51]. We have used real-time PCR to investigate changes in expression levels of three genes: WNT2, MECP2, and FMR1 in different brain regions of Fagile X mice and litter mate controls. We found major changes in the expression pattern for the three genes examined. FMR1, MECP2, and WNT2 expression were drastically down regulated in the Fragile X mouse brain.  相似文献   
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Secreted frizzled-related protein 5 (SFRP5), an anti-inflammatory adipokine secreted by adipocytes, has been demonstrated to exert its anti-inflammatory effect via antagonizing the non-canonical wingless-type family member 5A (WNT5A) signalling pathways. The WNT5A protein, as a potent pro-inflammatory signalling molecule, is strongly involved in a variety of inflammatory disorders such as obesity, type 2 diabetes mellitus (T2DM) and atherosclerosis. In this review, we systematically outlined the current understanding on the roles of SFRP5 in the pathogenesis of three inflammatory diseases including obesity, T2DM and coronary heart disease (CHD). Our review might stimulate future research using SFRP5 as a promising novel therapeutic target for the treatment of obesity, T2DM and CHD.  相似文献   
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Cancer evolution is a stochastic process both at the genome and gene levels. Most of tumors contain multiple genetic subclones, evolving in either succession or in parallel, either in a linear or branching manner, with heterogeneous genome and gene alterations, extensively rewired signaling networks, and addicted to multiple oncogenes easily switching with each other during cancer progression and medical intervention. Hundreds of discovered cancer genes are classified according to whether they function in a dominant (oncogenes) or recessive (tumor suppressor genes) manner in a cancer cell. However, there are many cancer “gene-chameleons”, which behave distinctly in opposite way in the different experimental settings showing antagonistic duality. In contrast to the widely accepted view that mutant NADP+-dependent isocitrate dehydrogenases 1/2 (IDH1/2) and associated metabolite 2-hydroxyglutarate (R)-enantiomer are intrinsically “the drivers” of tumourigenesis, mutant IDH1/2 inhibited, promoted or had no effect on cell proliferation, growth and tumorigenicity in diverse experiments. Similar behavior was evidenced for dozens of cancer genes. Gene function is dependent on genetic network, which is defined by the genome context. The overall changes in karyotype can result in alterations of the role and function of the same genes and pathways. The diverse cell lines and tumor samples have been used in experiments for proving gene tumor promoting/suppressive activity. They all display heterogeneous individual karyotypes and disturbed signaling networks. Consequently, the effect and function of gene under investigation can be opposite and versatile in cells with different genomes that may explain antagonistic duality of cancer genes and the cell type- or the cellular genetic/context-dependent response to the same protein. Antagonistic duality of cancer genes might contribute to failure of chemotherapy. Instructive examples of unexpected activity of cancer genes and “paradoxical” effects of different anticancer drugs depending on the cellular genetic context/signaling network are discussed.  相似文献   
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