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1.
Int J Biochem Cell Biol ; 62: 142-6, 2015 May.
Article in English | MEDLINE | ID: mdl-25794425

ABSTRACT

The matricellular protein WISP1 is a member of the CCN protein family. It is induced by WNT1 and is a downstream target of ß-catenin. WISP1 is expressed during embryonic development, wound healing and tissue repair. Aberrant WISP1 expression is associated with various pathologies including osteoarthritis, fibrosis and cancer. Its role in tumor progression and clinical outcome makes WISP1 an emerging candidate for the detection and treatment of tumors.


Subject(s)
CCN Intercellular Signaling Proteins/physiology , Neoplasms/genetics , Proto-Oncogene Proteins/physiology , Animals , CCN Intercellular Signaling Proteins/chemistry , Gene Expression Regulation, Neoplastic , Humans , Neoplasms/diagnosis , Neoplasms/pathology , Neoplasms/therapy , Prognosis , Proto-Oncogene Proteins/chemistry , Signal Transduction
2.
Mol Cancer ; 13: 22, 2014 Feb 05.
Article in English | MEDLINE | ID: mdl-24495796

ABSTRACT

BACKGROUND: The main cause of death of breast cancer patients is not the primary tumor itself but the metastatic disease. Identifying breast cancer-specific signatures for metastasis and learning more about the nature of the genes involved in the metastatic process would 1) improve our understanding of the mechanisms of cancer progression and 2) reveal new therapeutic targets. Previous studies showed that the transcriptional regulator megakaryoblastic leukemia-1 (Mkl1) induces tenascin-C expression in normal and transformed mammary epithelial cells. Tenascin-C is known to be expressed in metastatic niches, is highly induced in cancer stroma and promotes breast cancer metastasis to the lung. METHODS: Using HC11 mammary epithelial cells overexpressing different Mkl1 constructs, we devised a subtractive transcript profiling screen to identify the mechanism by which Mkl1 induces a gene set co-regulated with tenascin-C. We performed computational analysis of the Mkl1 target genes and used cell biological experiments to confirm the effect of these gene products on cell behavior. To analyze whether this gene set is prognostic of accelerated cancer progression in human patients, we used the bioinformatics tool GOBO that allowed us to investigate a large breast tumor data set linked to patient data. RESULTS: We discovered a breast cancer-specific set of genes including tenascin-C, which is regulated by Mkl1 in a SAP domain-dependent, serum response factor-independent manner and is strongly implicated in cell proliferation, cell motility and cancer. Downregulation of this set of transcripts by overexpression of Mkl1 lacking the SAP domain inhibited cell growth and cell migration. Many of these genes are direct Mkl1 targets since their promoter-reporter constructs were induced by Mkl1 in a SAP domain-dependent manner. Transcripts, most strongly reduced in the absence of the SAP domain were mechanoresponsive. Finally, expression of this gene set is associated with high-proliferative poor-outcome classes in human breast cancer and a strongly reduced survival rate for patients independent of tumor grade. CONCLUSIONS: This study highlights a crucial role for the transcriptional regulator Mkl1 and its SAP domain during breast cancer progression. We identified a novel gene set that correlates with bad prognosis and thus may help in deciding the rigor of therapy.


Subject(s)
Biomarkers, Tumor/genetics , Breast Neoplasms/genetics , Cell Movement , Cell Proliferation , DNA-Binding Proteins/genetics , Gene Expression Regulation, Neoplastic/genetics , Oncogene Proteins, Fusion/genetics , Breast Neoplasms/metabolism , Breast Neoplasms/pathology , Cell Line, Tumor , Cell Movement/genetics , DNA-Binding Proteins/metabolism , Disease Progression , Female , Gene Expression Profiling , Humans , Immunoblotting , Oligonucleotide Array Sequence Analysis , Oncogene Proteins, Fusion/metabolism , Prognosis , Protein Structure, Tertiary , Reverse Transcriptase Polymerase Chain Reaction , Signal Transduction/genetics , Tenascin/genetics , Trans-Activators
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