The genetic and pharmacogenomic landscape of snoRNAs in human cancer.
Yaoming LiuHang RuanShengli LiYouqiong YeWei HongJing GongZhao ZhangYing JingXiulan ZhangLixia DiaoLeng HanPublished in: Molecular cancer (2020)
Emerging evidence has revealed significant roles for small nucleolar RNAs (snoRNAs) in tumorigenesis. However, the genetic and pharmacogenomic landscape of snoRNAs has not been characterized. Using the genotype and snoRNA expression data from The Cancer Genome Atlas, we characterized the effects of genetic variants on snoRNAs across 29 cancer types and further linked related alleles with patient survival as well as genome-wide association study risk loci. Furthermore, we characterized the impact of snoRNA expression on drug response in patients to facilitate the clinical utility of snoRNAs in cancer. We also developed a user-friendly data resource, GPSno (http://hanlab.uth.edu/GPSno), with multiple modules for researchers to visualize, browse, and download multi-dimensional data. Our study provides a comprehensive genetic and pharmacogenomic landscape of snoRNAs, which will shed light on future clinical considerations for the development of snoRNA-based targeted therapies.
Keyphrases
- papillary thyroid
- genome wide
- single cell
- electronic health record
- poor prognosis
- genome wide association study
- big data
- end stage renal disease
- endothelial cells
- ejection fraction
- squamous cell carcinoma
- emergency department
- lymph node metastasis
- gene expression
- chronic kidney disease
- clinical decision support
- newly diagnosed
- dna methylation
- machine learning
- artificial intelligence
- low cost