Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer

Head and neck squamous cell carcinoma (HNSCC) is a common malignancy with high mortality and poor prognosis due to a lack of predictive markers. Increasing evidence has demonstrated small nucleolar RNAs (snoRNAs) play an important role in tumorigenesis. The aim of this study was to identify a prognostic snoRNA signature of HNSCC. Survival-related snoRNAs were screened by Cox regression analysis (univariate, least absolute shrinkage and selection operator, and multivariate). The predictive value was validated in different subgroups. The biological functions were explored by coexpression analysis and gene set enrichment analysis (GSEA). One hundred and thirteen survival-related snoRNAs were identified, and a five-snoRNA signature predicted prognosis with high sensitivity and specificity. Furthermore, the signature was applicable to patients of different sexes, ages, stages, grades, and anatomic subdivisions. Coexpression analysis and GSEA revealed the five-snoRNA are involved in regulating malignant phenotype and DNA/RNA editing. This five-snoRNA signature is not only a promising predictor of prognosis and survival but also a potential biomarker for patient stratification management.     

Exploration of pairing constraints identifies a 9 base-pair core within box C/D snoRNA-rRNA duplexes

2'-O-ribose methylation of eukaryotic ribosomal RNAs is guided by RNA duplexes consisting of rRNA and box C/D small nucleolar (sno)RNA sequences, the methylated sites invariably mapping five positions apart from the D box. Here we have analyzed the RNA duplex pairing constraints by investigating the features of 415 duplexes from the fungus, plant and animal kingdoms, and the evolution of those duplexes within the 124 sets they group into. The D-box upstream 1st and >or=15th positions consist of Watson-Crick base-pairs, G:U base-pairs and mismatched bases with ratios close to random assortments; these positions display single base differences in >60% of the RNA duplex sets. The D-box upstream 2nd to 11th positions have >90% Watson-Crick base-pairs; they display single base mutations with a U-shaped distribution of lower values of 0% and 1.6% at the methylated site 5th and 4th positions, and double compensatory mutations leading to new Watson-Crick base-pairs with an inverted U-shaped distribution of higher values at the 8th to 11th positions. Half of the single mutations at the 3rd to 11th positions resulted in G:U base-pairing, mainly through A-->G mutations in the rRNA strands and C-->T mutations in the snoRNA strands. Double compensatory mutations at the 3rd to 11th positions are extremely frequent, representing 36% of all mutations; they frequently arose from an A-->G mutation in the rRNA strands followed by a T-->C mutation in the snoRNA strands. Differences in the mutational pathways through which the rRNA and snoRNA strand evolved must be related to differences in the rRNA and snoRNA copy number and gene organization. Altogether these data identify the D-box upstream 3rd to 11th positions as box C/D snoRNA-rRNA duplex cores. The impact of the pairing constraints on the evolution of the 9 base-pair RNA duplex cores is discussed.     

Cytosolic Accumulation of Small Nucleolar RNAs (snoRNAs) Is Dynamically Regulated by NADPH Oxidase

Small nucleolar RNAs (snoRNAs) guide nucleotide modifications of cellular RNAs in the nucleus. We previously showed that box C/D snoRNAs from the Rpl13a locus are unexpected mediators of physiologic oxidative stress, independent of their predicted ribosomal RNA modifications. Here we demonstrate that oxidative stress induced by doxorubicin causes rapid cytoplasmic accumulation of the Rpl13a snoRNAs through a mechanism that requires superoxide and a nuclear splice variant of NADPH oxidase. RNA-sequencing analysis reveals that box C/D snoRNAs as a class are present in the cytoplasm, where their levels are dynamically regulated by NADPH oxidase. These findings suggest that snoRNAs may orchestrate the response to environmental stress through molecular interactions outside of the nucleus.