Literature DB >> 18922970

Global gene expression profiling unveils S100A8/A9 as candidate markers in H-ras-mediated human breast epithelial cell invasion.

Aree Moon1, Hae-Young Yong, Jae-In Song, Daniela Cukovic, Sridevi Salagrama, David Kaplan, David Putt, Hyesook Kim, Alan Dombkowski, Hyeong-Reh Choi Kim.   

Abstract

The goal of the present study is to unveil the gene expression profile specific to the biological processes of human breast epithelial cell invasion and migration using an MCF10A model genetically engineered to constitutively activate the H-ras or N-ras signaling pathway. We previously showed that H-Ras, but not N-Ras, induces MCF10A cell invasion/migration, whereas both H-Ras and N-Ras induce cell proliferation and phenotypic transformation. Thus, these cell lines provide an experimental system to separate the gene expression profile associated with cell invasion apart from cell proliferation/transformation. Analysis of whole human genome microarray revealed that 412 genes were differentially expressed among MCF10A, N-Ras MCF10A, and H-Ras MCF10A cells and hierarchical clustering separated 412 genes into four clusters. We then tested whether S100A8 and S100A9, two of the genes which are most highly up-regulated in an H-Ras-specific manner, play a causative role for H-Ras-mediated MCF10A cell invasion and migration. Importantly, small interfering RNA-mediated knockdown of S100A8/A9 expression significantly reduced H-Ras-induced invasion/migration. Conversely, the induction of S100A8/A9 expression conferred the invasive/migratory phenotype to parental MCF10A cells. Furthermore, we provided evidence of signaling cross-talk between S100A8/A9 and the mitogen-activated protein kinase signaling pathways essential for H-Ras-mediated cell invasion and migration. Taken together, this study revealed S100A8/A9 genes as candidate markers for metastatic potential of breast epithelial cells. Our gene profile data provide useful information which may lead to the identification of additional potential targets for the prognosis and/or therapy of metastatic breast cancer.

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Year:  2008        PMID: 18922970     DOI: 10.1158/1541-7786.MCR-08-0189

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  44 in total

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2.  S100A8/A9 activate key genes and pathways in colon tumor progression.

Authors:  Mie Ichikawa; Roy Williams; Ling Wang; Thomas Vogl; Geetha Srikrishna
Journal:  Mol Cancer Res       Date:  2011-01-12       Impact factor: 5.852

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Journal:  Genes Cancer       Date:  2011-11

4.  Comparison of gene expression in hepatocellular carcinoma, liver development, and liver regeneration.

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Journal:  Mol Genet Genomics       Date:  2010-04-01       Impact factor: 3.291

Review 5.  S100A8 and S100A9: new insights into their roles in malignancy.

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Journal:  J Innate Immun       Date:  2011-09-06       Impact factor: 7.349

6.  Prognostic impact of S100A9 overexpression in non-small cell lung cancer.

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Journal:  Tumour Biol       Date:  2011-03-03

7.  S100A8 and S100A9 promotes invasion and migration through p38 mitogen-activated protein kinase-dependent NF-κB activation in gastric cancer cells.

Authors:  Chae Hwa Kwon; Hyun Jung Moon; Hye Ji Park; Jin Hwa Choi; Do Youn Park
Journal:  Mol Cells       Date:  2013-02-26       Impact factor: 5.034

8.  Dynamic cross-talk analysis among TNF-R, TLR-4 and IL-1R signalings in TNFalpha-induced inflammatory responses.

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9.  MAL2 and tumor protein D52 (TPD52) are frequently overexpressed in ovarian carcinoma, but differentially associated with histological subtype and patient outcome.

Authors:  Jennifer A Byrne; Sanaz Maleki; Jayne R Hardy; Brian S Gloss; Rajmohan Murali; James P Scurry; Susan Fanayan; Catherine Emmanuel; Neville F Hacker; Robert L Sutherland; Anna Defazio; Philippa M O'Brien
Journal:  BMC Cancer       Date:  2010-09-17       Impact factor: 4.430

10.  S100A8/A9 is associated with estrogen receptor loss in breast cancer.

Authors:  Y I Bao; Antao Wang; Juanfen Mo
Journal:  Oncol Lett       Date:  2016-01-20       Impact factor: 2.967

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