ArticleScientific reports2024
LATS2 and FAT4 as key candidate genes of hippo pathway associated with the risk and progression of breast cancer: an in-silico approach.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Bakuchiol Ameliorates Glucocorticoid-Induced Osteoporosis by Enhancing Osteoblast Differentiation via Targeting FAT4 to Activate YAP1.Phytotherapy research : PTR · 2026Article
- Research on the role and mechanism of FAT4 in the development and progression of tumor and non-tumor diseases.Discover oncology · 2026Review
- Hepatoid adenocarcinoma of the stomach and non-hepatoid alpha-fetoprotein-producing gastric cancer exhibit a high degree of molecular similarity.Cellular oncology (Dordrecht, Netherlands) · 2025Article
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Abstract
backgroundThe 2020 cancer report states that breast cancer remains a significant cause of death for females, despite the use of various strategies for early detection and treatment. However, there are still gaps in the fight against this disease. Researchers are exploring the hippo pathway, one of eight significant pathways involved in cancer progression, for potential biomarkers to use in personalized therapeutics.
methodsThe current study used bioinformatic tools such as DEGs analysis, Methsurv, Km Plotter to generate data that can predict molecular biomarkers associated with hippo pathway in breast cancer development and treatment. The protein-protein interaction pathway was generated using the STRING database to find associations of hippo pathway genes with other dysregulated genes in breast cancer datasets. A disease enrichment study was also done to explore the potential of the hippo pathway in various aspects.
resultsLATS2 and FAT4 genes of the hippo pathway have shown an interesting association with overall survival, hypermethylation, genetic alterations, and decreased expression levels in the breast cancer cohort. Our findings suggest that both of these genes are associated with breast cancer progression and diagnosis and can be utilized as predictive biomarkers by oncologists for personalized therapy in patients.
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