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Mycophenolic Acid Inhibits Migration and Invasion of Gastric Cancer Cells via Multiple Molecular Pathways

Overview of attention for article published in PLOS ONE, November 2013
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Title
Mycophenolic Acid Inhibits Migration and Invasion of Gastric Cancer Cells via Multiple Molecular Pathways
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0081702
Pubmed ID
Authors

Boying Dun, Ashok Sharma, Yong Teng, Haitao Liu, Sharad Purohit, Heng Xu, Lingwen Zeng, Jin-Xiong She

Abstract

Mycophenolic acid (MPA) is the metabolized product and active element of mycophenolate mofetil (MMF) that has been widely used for the prevention of acute graft rejection. MPA potently inhibits inosine monophosphate dehydrogenase (IMPDH) that is up-regulated in many tumors and MPA is known to inhibit cancer cell proliferation as well as fibroblast and endothelial cell migration. In this study, we demonstrated for the first time MPA's antimigratory and anti-invasion abilities of MPA-sensitive AGS (gastric cancer) cells. Genome-wide expression analyses using Illumina whole genome microarrays identified 50 genes with ≥2 fold changes and 15 genes with > 4 fold alterations and multiple molecular pathways implicated in cell migration. Real-time RT-PCR analyses of selected genes also confirmed the expression differences. Furthermore, targeted proteomic analyses identified several proteins altered by MPA treatment. Our results indicate that MPA modulates gastric cancer cell migration through down-regulation of a large number of genes (PRKCA, DOCK1, INF2, HSPA5, LRP8 and PDGFRA) and proteins (PRKCA, AKT, SRC, CD147 and MMP1) with promigratory functions as well as up-regulation of a number of genes with antimigratory functions (ATF3, SMAD3, CITED2 and CEAMCAM1). However, a few genes that may promote migration (CYR61 and NOS3) were up-regulated. Therefore, MPA's overall antimigratory role on cancer cells reflects a balance between promigratory and antimigratory signals influenced by MPA treatment.

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
United States 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Ph. D. Student 9 26%
Lecturer 2 6%
Student > Bachelor 2 6%
Professor > Associate Professor 2 6%
Other 6 17%
Unknown 4 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Agricultural and Biological Sciences 6 17%
Pharmacology, Toxicology and Pharmaceutical Science 6 17%
Medicine and Dentistry 4 11%
Neuroscience 2 6%
Other 4 11%
Unknown 5 14%