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Published on: September 20, 2024
The pharmacogenomic and immune landscape of snoRNAs in human cancers
Runhao Wang1, Chengxuan Chen1, Yuan Liu1
1Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Abstract:
Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs primarily known for their role in the chemical modification of other RNAs. Recent studies suggested that snoRNAs may play a broader role in anti-cancer treatments such as targeted therapies and immunotherapies. Despite these insights, the comprehensive landscape of snoRNA associations with drug response and immunotherapy outcomes remains unexplored. In this study, we identified 79,448 and 75,185 associations between snoRNAs and drug response using data from VAEN and CancerRxTissue, respectively. Additionally, we discovered 29,199 associations between snoRNAs and immune checkpoint genes and 47,194 associations between snoRNAs and immune cell infiltrations. Sixteen snoRNAs were significantly correlated with immunotherapy objective response rate (ORR), and 92 snoRNAs showed significantly differential expression between cancers with high and low ORR. Furthermore, we identified 17 snoRNAs with significantly differential expression between cancer types with high and low immune-related adverse event (irAE) reporting odds ratio (ROR). Several snoRNAs, such as SNORD92, and SNORD83B, may represent promising biomarkers or therapeutic targets that needs further investigation. To facilitate further research, we developed a user-friendly portal, Pharmacogenomic and Immune Landscape of SnoRNA (PISNO, https://hanlaboratory.com/PISNO/), enabling researchers to visualize, browse, and download multi-dimensional data. This study highlights the potential of snoRNAs as biomarkers or therapeutic targets, paving the way for more effective and personalized anti-cancer treatments.
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