Uncovering Oncogenic Mechanisms of Tumor Suppressor Genes in Breast Cancer Multi-Omics Data.
Seong Beom ChoPublished in: International journal of molecular sciences (2022)
Tumor suppressor genes (TSGs) are essential genes in the development of cancer. While they have many roles in normal cells, mutation and dysregulation of the TSGs result in aberrant molecular processes in cancer cells. Therefore, understanding TSGs and their roles in the oncogenic process is crucial for prevention and treatment of cancer. In this research, multi-omics breast cancer data were used to identify molecular mechanisms of TSGs in breast cancer. Differentially expressed genes and differentially coexpressed genes were identified in four large-scale transcriptomics data from public repositories and multi-omics data analyses of copy number, methylation and gene expression were performed. The results of the analyses were integrated using enrichment analysis and meta-analysis of a p -value summation method. The integrative analysis revealed that TSGs have a significant relationship with genes of gene ontology terms that are related to cell cycle, genome stability, RNA processing and metastasis, indicating the regulatory mechanisms of TSGs on cancer cells. The analysis frame and research results will provide valuable information for the further identification of TSGs in different types of cancers.
Keyphrases
- genome wide
- copy number
- bioinformatics analysis
- genome wide identification
- dna methylation
- cell cycle
- gene expression
- single cell
- electronic health record
- transcription factor
- mitochondrial dna
- big data
- genome wide analysis
- papillary thyroid
- cell proliferation
- mental health
- squamous cell carcinoma
- induced apoptosis
- emergency department
- childhood cancer
- squamous cell
- cell death
- cell cycle arrest
- pi k akt
- oxidative stress
- adverse drug
- nucleic acid