scholarly journals The nonsteroidal anti-inflammatory drug tolfenamic acid inhibits BT474 and SKBR3 breast cancer cell and tumor growth by repressing erbB2 expression

2009 ◽  
Vol 8 (5) ◽  
pp. 1207-1217 ◽  
Author(s):  
Xinyi Liu ◽  
Maen Abdelrahim ◽  
Ala Abudayyeh ◽  
Ping Lei ◽  
Stephen Safe
2019 ◽  
Vol 79 (9) ◽  
pp. 2152-2166 ◽  
Author(s):  
Mazvita Maziveyi ◽  
Shengli Dong ◽  
Somesh Baranwal ◽  
Ali Mehrnezhad ◽  
Rajamani Rathinam ◽  
...  

2019 ◽  
Vol 18 ◽  
pp. 117693511987295 ◽  
Author(s):  
Shuying Sun ◽  
Yu Ri Lee ◽  
Brittany Enfield

DNA methylation is an epigenetic event that involves adding a methyl group to the cytosine (C) site, especially the one that pairs with a guanine (G) site (ie, CG or CpG site), in a human genome. This event plays an important role in both cancerous and normal cell development. Previous studies often assume symmetric methylation on both DNA strands. However, asymmetric methylation, or hemimethylation (methylation that occurs only on 1 DNA strand), does exist and has been reported in several studies. Due to the limitation of previous DNA methylation sequencing technologies, researchers could only study hemimethylation on specific genes, but the overall genomic hemimethylation landscape remains relatively unexplored. With the development of advanced next-generation sequencing techniques, it is now possible to measure methylation levels on both forward and reverse strands at all CpG sites in an entire genome. Analyzing hemimethylation patterns may potentially reveal regions related to undergoing tumor growth. For our research, we first identify hemimethylated CpG sites in breast cancer cell lines using Wilcoxon signed rank tests. We then identify hemimethylation patterns by grouping consecutive hemimethylated CpG sites based on their methylation states, methylation “M” or unmethylation “U.” These patterns include regular (or consecutive) hemimethylation clusters (eg, “MMM” on one strand and “UUU” on another strand) and polarity (or reverse) clusters (eg, “MU” on one strand and “UM” on another strand). Our results reveal that most hemimethylation clusters are the polarity type, and hemimethylation does occur across the entire genome with notably higher numbers in the breast cancer cell lines. The lengths or sizes of most hemimethylation clusters are very short, often less than 50 base pairs. After mapping hemimethylation clusters and sites to corresponding genes, we study the functions of these genes and find that several of the highly hemimethylated genes may influence tumor growth or suppression. These genes may also indicate a progressing transition to a new tumor stage.


Oncogene ◽  
2019 ◽  
Vol 38 (18) ◽  
pp. 3325-3339 ◽  
Author(s):  
Jasdeep Mann ◽  
John Maringa Githaka ◽  
Timothy W. Buckland ◽  
Ning Yang ◽  
Rachel Montpetit ◽  
...  

2018 ◽  
Vol 500 (4) ◽  
pp. 860-865 ◽  
Author(s):  
Fahimeh Aghapour ◽  
Ali Akbar Moghadamnia ◽  
Andrea Nicolini ◽  
Seydeh Narges Mousavi Kani ◽  
Ladan Barari ◽  
...  

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Wataru Goto ◽  
Shinichiro Kashiwagi ◽  
Yuka Asano ◽  
Koji Takada ◽  
Tamami Morisaki ◽  
...  

Abstract Background Iron is required for the proliferation of cancer cells, and its depletion suppresses tumor growth. Eribulin mesylate (eribulin), a non-taxane microtubule inhibitor, disrupts the tumor microenvironment via vascular remodeling and obstruction of the epithelial-mesenchymal transition (EMT). Herein, we investigated the effects of the iron chelator on tumor-related properties of breast cancer cells and the effects of iron chelator plus eribulin on tumor growth in vivo. Methods Two triple-negative breast cancer (TNBC) cell lines, MDA-MB-231 and BT-549, and one hormone-receptor positive breast cancer cell line, MCF-7, were used in our study. Cell proliferation, cell migration, cell cycle position, and gene expression were analyzed via MTT assays, wound-healing assays, flow cytometry, and quantitative real-time-polymerase chain reaction, respectively. For the in vivo experiments, mice with breast cancer xenografts were treated with the inhibitors, alone or together, and tumor volume was determined. Results Iron chelator inhibited breast cancer cell proliferation and decreased the proportion of S-phase cells. Conversely, it induced hypoxia, angiogenesis, EMT, and immune checkpoints, as determined by quantifying the expression of marker mRNAs in MDA-MB-231 and MCF-7 cells. Eribulin suppressed the expression of the hypoxia and EMT related marker mRNAs in the presence of iron chelator. Iron chelator plus eribulin inhibited tumor growth in vivo to a greater extent than did either inhibitor alone. Conclusions Although iron chelator induces oncogenic events (hypoxia, angiogenesis, EMT, and immune checkpoints), it may be an effective treatment for breast cancer when administered in combination with eribulin.


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