Effects of Luteolin on Human Breast Cancer Using Gene Expression Array: Inferring Novel Genes.
Shih-Ho WangChin-Hu WuChin-Chuan TsaiTai-Yu ChenKuen-Jang TsaiChao-Ming HungChia-Yi HsuChia-Wei WuTsung-Hua HsiehPublished in: Current issues in molecular biology (2022)
Taraxacum officinale (dandelion) is often used in traditional Chinese medicine for the treatment of cancer; however, the downstream regulatory genes and signaling pathways mediating its effects on breast cancer remain unclear. The present study aimed to explore the effects of luteolin, the main biologically active compound of T. officinale , on gene expression profiles in MDA-MB-231 and MCF-7 breast cancer cells. The results revealed that luteolin effectively inhibited the proliferation and motility of the MDA-MB-231 and MCF-7 cells. The mRNA expression profiles were determined using gene expression array analysis and analyzed using a bioinformatics approach. A total of 41 differentially expressed genes (DEGs) were found in the luteolin-treated MDA-MB-231 and MCF-7 cells. A Gene Ontology analysis revealed that the DEGs, including AP2B1, APP, GPNMB and DLST, mainly functioned as oncogenes. The human protein atlas database also found that AP2B1, APP, GPNMB and DLST were highly expressed in breast cancer and that AP2B1 (cut-off value, 75%) was significantly associated with survival rate ( p = 0.044). In addition, a Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that the DEGs were involved in T-cell leukemia virus 1 infection and differentiation. On the whole, the findings of the present study provide a scientific basis that may be used to evaluate the potential benefits of luteolin in human breast cancer. Further studies are required, however, to fully elucidate the role of the related molecular pathways.
Keyphrases
- breast cancer cells
- gene expression
- genome wide
- endothelial cells
- genome wide identification
- induced apoptosis
- cell cycle arrest
- transcription factor
- signaling pathway
- single cell
- dna methylation
- genome wide analysis
- induced pluripotent stem cells
- copy number
- bioinformatics analysis
- high resolution
- escherichia coli
- pseudomonas aeruginosa
- mass spectrometry
- bone marrow
- high throughput
- cystic fibrosis
- staphylococcus aureus
- young adults
- high density
- climate change
- endoplasmic reticulum stress
- breast cancer risk
- squamous cell
- smoking cessation