scholarly journals The construction and analysis of ceRNA networks in invasive breast cancer: a study based on The Cancer Genome Atlas

2018 ◽  
Vol Volume 11 ◽  
pp. 1-11 ◽  
Author(s):  
Chundi Gao ◽  
Huayao Li ◽  
Jing Zhuang ◽  
HongXiu Zhang ◽  
Kejia Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Invasive Breast Cancer ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Genome Atlas

scholarly journals Comparison of Breast Cancer Molecular Features and Survival by African and European Ancestry in The Cancer Genome Atlas

JAMA Oncology ◽  
2017 ◽  
Vol 3 (12) ◽  
pp. 1654 ◽  
Author(s):  
Dezheng Huo ◽  
Hai Hu ◽  
Suhn K. Rhie ◽  
Eric R. Gamazon ◽  
Andrew D. Cherniack ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
European Ancestry ◽  
Molecular Features ◽  
Cancer Genome Atlas ◽  
Genome Atlas

scholarly journals Clinical Relevance of microRNA Expressions in Breast Cancer Validated Using the Cancer Genome Atlas (TCGA)

2017 ◽  
Vol 24 (10) ◽  
pp. 2943-2949 ◽  
Author(s):  
Sara Y. Kim ◽  
Tsutomu Kawaguchi ◽  
Li Yan ◽  
Jessica Young ◽  
Qianya Qi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Relevance ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Genome Atlas

scholarly journals Gene expression trend changes in breast cancer populations over two decades: insights from The Cancer Genome Atlas database

2021 ◽  
Author(s):  
Jinbo Wu ◽  
Taobo Hu ◽  
Shu Wang
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Viral Myocarditis ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Venn Diagram ◽  
Cancer Etiology ◽  
Term Survival ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Abstract Background: Breast cancer has remained the most common malignancy in women over the past two decades. As lifestyle and living environments have changed, alterations to the disease spectrum have inevitably occurred in this time. As molecular profiling has become a routine diagnostic and objective indicator of breast cancer etiology, we analyzed changes in gene expression in breast cancer populations over two decades using The Cancer Genome Atlas (TCGA). Methods: We performed Heatmap and Venn diagram analyses to identify constantly up- and down-regulated genes in this cohort. We used Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to visualize associated functional pathways. Results: We determined that three oncogenes, PD-L2, ETV5, and MTOR and 113 long intergenic non-coding RNAs (lincRNAs) were constantly up-regulated, whereas two oncogenes, BCR and GTF2I, one tumor suppression gene (TSG) MEN1, and 30 lincRNAs were constantly down-regulated. Up-regulated genes were enriched in “focal adhesion” and “PI3K-Akt signaling” pathways, et al, and down-regulated genes were significantly enriched in “metabolic pathways” and “viral myocarditis”. Eight up-regulated genes exhibited doubled or higher expression, and the expression of three down-regulated genes was halved or lowered and correlated with long-term survival. Conclusions: In this study, we determined that genes and molecular pathways are constantly changing, importantly, some altered genes were associated with prognostics and are potential therapeutic targets, suggesting molecular typing technologies must keep pace with this dynamic situation.

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