Small Nucleolar RNAs as Diagnostic and Prognostic Biomarkers in Cancer: A Systematic Review and Meta-Analysis.

OBJECTIVES: Small nucleolar RNAs (snoRNAs) form clusters within the genome, representing a mysterious category of small non-coding RNAs. Research has demonstrated that aberrant snoRNAs can contribute to the development of various types of cancers. Recent studies have identified snoRNAs as potentially valuable biomarkers for the diagnosis or/and prognosis of cancers. However, there has been a lack of comprehensive reviews on prognostic and diagnostic snoRNAs across different types of cancers. METHODS: We conducted a systematic search of various databases including Google Scholar, Medline, Cochrane, Scopus, PubMed, Embase, ScienceDirect, Ovid-Medline, Chinese National Knowledge Infrastructure, WanFang, and SinoMed with a time frame reception to December 30, 2022. A total of 49 relevant articles were included in our analysis, consisting of 21 articles focusing on diagnostic aspects and 41 articles focusing on prognostic aspects. Pooled odds ratio, 95% confidence intervals (CIs), and hazard ratio (HR) were utilized to evaluate clinical parameters and overall survival (OS), respectively. RESULT: The findings indicated that area under the curve, sensitivity, and specificity were 0.85, 75%, and 80% in cancer, respectively. There was a possibility that snoRNAs had a positive impact on the diagnosis (risk ratio, RR = 2.95, 95% CI: 2.75-3.16, P = 0.000) and OS (HR = 1) in cancer. Additionally, abnormally expressed snoRNAs were associated with a positive impact on OS time for chronic lymphocytic leukemia (HR: 0.88, 95%Cl: 0.69-1.11, P < 0.00001), colon adenocarcinoma (HR: 0.97, 95%Cl: 0.91-1.03, P < 0.0001), and ovarian cancer (HR: 0.98, 95%Cl: 0.98-0.99, P < 0.00001). However, dysregulated snoRNAs of colon cancer and colorectal cancer had a negative impact on OS time (HR = 3.01 and 1.01 respectively, P < 0.0001). CONCLUSION: The results strongly suggested that snoRNAs could serve as potential novel indicators for prognosis and diagnosis in cancers. This systematic review followed the guidelines of the Transparent Reporting of Systematic Review and Meta-Analyses (PROSPERO register: CRD42020209096).

Identification and characterization of differentially expressed circRNA in 2,3,7,8-tetrachlorodibenzo-p-dioxin-induced cleft palate.

Various circular RNAs (circRNAs) are novel class of non-coding RNAs, which are pervasively transcribed in the genome. CircRNAs play important roles in human, animals and plants. Up to now, there was no report regarding circRNAs of cleft palate by 2,3,7,8-tetrachlorodibenzo-pdioxin (TCDD) induce. The present study screened identification and characterization of differential expressed-circRNAs in TCDD-induced cleft palate. 6903 circRNAs candidates came from cleft palates. Among them, 3525 circRNAs are up-regulation, and 3378 circRNAs are down-regulation by TCDD induce. The cluster and GO analysis found that circRNAs involved in biological process, cellular component, and molecular function. Through the analysis of KEGG Pathway, circRNAs made functions via classical signaling pathway in cleft palate, such as TGF-beta signaling pathway, BMP signal pathway, MAPK signaling pathway. In addition, we found down-regulated circRNA224, circRNA3302 and up-regulated circRNA5021 targeted tgfbr3, but up-regulated circRNA4451 targeted tgfbr2. circRNA4451 may make functions through TGF-beta signaling pathway. These results suggested that many different circRNAs may make important role in TCDD-induced cleft palate, which provided a theoretical basis for further research.