Discovery of new therapeutic targets in ovarian cancer through identifying significantly non-mutated genes.
Halema Al-FarsiIman Al-AzwaniJoel A MalekLotfi ChouchaneArash RafiiNajeeb M HalabiPublished in: Journal of translational medicine (2022)
We show that we can identify significantly non-mutated genes in a large ovarian cancer cohort that are well-expressed in patient and cell line data and whose RNAi-induced silencing reduces viability in three ovarian cancer cell lines. Targeting non-mutated genes that are important for tumor growth and metastasis is a promising approach to expand cancer therapeutic options.
Keyphrases
- genome wide
- bioinformatics analysis
- genome wide identification
- small molecule
- papillary thyroid
- genome wide analysis
- high glucose
- case report
- electronic health record
- wild type
- high throughput
- dna methylation
- diabetic rats
- cancer therapy
- transcription factor
- endothelial cells
- artificial intelligence
- deep learning
- lymph node metastasis
- data analysis
- stress induced