{"title":"Unveiling the clinical significance of RNA pseudouridine in colorectal cancer.","authors":"Jiehua Li, Xuanfei Li, Xiaole Zhao, Xiaochen Xue, Panpan Xia, Lilan Fan, Hongling Wang, Xiaocheng Weng, Yafen Wang, Shaoqing Han, Xiang Zhou","doi":"10.1007/s11427-024-2743-y","DOIUrl":null,"url":null,"abstract":"<p><p>Colorectal cancer (CRC) is a prevalent malignancy characterized by rising incidence and mortality rates worldwide. The involvement of RNA pseudouridine synthase enzymes in CRC development is well-documented, yet the transcriptomic profile of pseudouridine (Ψ) in CRC remains largely unexplored. This study explored the transcriptomic landscape of Ψ in CRC by analyzing 21 biopsies and their corresponding adjacent healthy tissues, along with blood samples from 10 patients using PRAISE, a quantitative pseudouridine sequencing technology at base resolution. Our findings revealed significant differences in Ψ distribution and levels between CRC samples and adjacent normal tissues, correlating with the expression levels of DKC1, PUS7L, and PUS10. Notably, distinct Ψ levels of snoRNAs could serve as potential tumor biomarkers. Furthermore, we assessed the clinical utility of Ψ in both tumor and blood samples. Differentiated Ψ levels showed promising correlations with clinical markers such as cancer antigen 125, cancer antigen 153, and cancer antigen 199 in tumors, whereas Ψ sites in blood revealed enhanced correlations with routine blood indicators like white blood cells (WBCs) and alpha-fetoprotein (AFP). These findings underscore the significant role of RNA Ψ in CRC, providing valuable insights into its potential applications for clinical diagnosis and treatment.</p>","PeriodicalId":21576,"journal":{"name":"Science China Life Sciences","volume":" ","pages":"3167-3177"},"PeriodicalIF":9.5000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science China Life Sciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s11427-024-2743-y","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/3 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Colorectal cancer (CRC) is a prevalent malignancy characterized by rising incidence and mortality rates worldwide. The involvement of RNA pseudouridine synthase enzymes in CRC development is well-documented, yet the transcriptomic profile of pseudouridine (Ψ) in CRC remains largely unexplored. This study explored the transcriptomic landscape of Ψ in CRC by analyzing 21 biopsies and their corresponding adjacent healthy tissues, along with blood samples from 10 patients using PRAISE, a quantitative pseudouridine sequencing technology at base resolution. Our findings revealed significant differences in Ψ distribution and levels between CRC samples and adjacent normal tissues, correlating with the expression levels of DKC1, PUS7L, and PUS10. Notably, distinct Ψ levels of snoRNAs could serve as potential tumor biomarkers. Furthermore, we assessed the clinical utility of Ψ in both tumor and blood samples. Differentiated Ψ levels showed promising correlations with clinical markers such as cancer antigen 125, cancer antigen 153, and cancer antigen 199 in tumors, whereas Ψ sites in blood revealed enhanced correlations with routine blood indicators like white blood cells (WBCs) and alpha-fetoprotein (AFP). These findings underscore the significant role of RNA Ψ in CRC, providing valuable insights into its potential applications for clinical diagnosis and treatment.
期刊介绍:
Science China Life Sciences is a scholarly journal co-sponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and it is published by Science China Press. The journal is dedicated to publishing high-quality, original research findings in both basic and applied life science research.