
doi: 10.3233/ch-162047
pmid: 26890241
Identifying effective targets induced by ECM stiffness is of critical importance for treating metastatic cancer diseases, which are followed by changes in the mechanical microenvironment in cancer cells. In this study, polyacrylamide hydrogel substrates with different stiffnesses were prepared and mRNA microarrays were performed to analyze the mRNA expression profiles in breast cancer cell line SK-BR-3 grown on different stiffness substrates. The results indicated that the expressions of 1831 genes were changed significantly in the SK-BR-3 cells on the different stiffness substrates. GO and KEGG pathway analyses of the differently expressed genes in five significant profiles annotated that the most significant pathways were cell cycle, ubiquitin mediated proteolysis RNA transport and pathways in cancer. Finally, the network of genes and gene interaction based on these differently expressed genes was established, and the phosphorylation of AKT and ERK, respectively the downstreams of the PI3K and Ras signal pathways, was further validated. The genes identified in this study may represent good therapeutic targets, and further study of these targets may help to increase our understanding of the mechanisms underlying the pathological processes and therapy for metastatic breast cancer disease.
Tissue Array Analysis, Tumor Microenvironment, Computational Biology, Humans, Breast Neoplasms, Female, RNA, Messenger
Tissue Array Analysis, Tumor Microenvironment, Computational Biology, Humans, Breast Neoplasms, Female, RNA, Messenger
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
