Small nucleolar RNA 42 promotes the growth of hepatocellular carcinoma through the p53 signaling pathway

Wang, Ganggang; Liu, Jinghua; Yao, Ye; Liu, Yingyi; Xia, Peng; Zhang, Hao; Yin, Maohui; Qin, Zhiwei; Ma, Weijie; Yuan, Yufeng

doi:10.1038/s41420-021-00740-5

Cited by 14 publications

(17 citation statements)

References 23 publications

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“…By searching the database eQTLGen Consortium, PMS2 -rs12112229 (chr7: 6036515) was related to the expression of small nucleolar RNA ( SNORA42 , chr7:6056575). Wang G proved that SNORA42 can promote HCC cells proliferation and inhibit their apoptosis through the experiment of the SNORA42 knockdown in hepatoma cells ( Wang et al, 2021 ). And this mechanism is achieved through the P53 signaling pathway and the cell cycle.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive investigating of mismatch repair genes (MMR) polymorphisms in participants with chronic hepatitis B virus infection

Sun²,

Kong³

et al. 2023

Front. Genet.

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Background and aim: In this study, we focused on the relationship between single nucleotide polymorphisms in MMR genes and the occurrence and development of HBV infection.Materials and methods: A total of 3,128 participants were divided into five groups: negative control group (NeC), spontaneous clearance group (SC), chronic hepatitis B group (CHB), liver cirrhosis group (LC) and hepatocellular carcinoma group (HCC), CHB, liver cirrhosis and hepatocellular carcinoma constitute HLD. We conducted three case-control studies: NeC (840 cases) vs. HLD (1792 cases), SC (486 cases) vs. HLD (1792 cases) and CHB + LC (1,371 cases) vs. HCC (421 cases). 11 polymorphic loci in MLH1, MLH3, MSH5, PMS1 and PMS2 were involved in genotyping by Sequenom MassArray. The SNPStats performed Hardy-Weinberg equilibrium test. Linkage disequilibrium patterns were visualized using Haploview4.2. The GMDR (v0.9) was conducted to generalized multifactor dimension reduction analysis. The correlation, multiplicative interaction and additive interaction analyses were calculated by Logistic Regression through SPSS21.0. Matrix and programmed excel were also involved in the calculation of additive interaction.Results: In NeC vs. HLD group, MSH5-rs1150793(G) was a risk base to HBV susceptibility (nominal p = 0.002, OR = 1.346). We found multiplicative interaction between MLH1-rs1540354 (AA + AT) and PMS1-rs1233255 (AA) (nominal p = 0.024, OR = 1.240). There was additive interaction between PMS1-rs1233255 (AA) and PMS1-rs256554(CA + CC). In SC vs. HLD group, MLH1-rs1540354 (TT) was a risk genotype (nominal p < 0.05, OR>1). Through haplotype analysis, we found the linkage disequilibrium of three loci in MLH1. The results of GMDR showed the optimal five-locus model about the spontaneous clearance of HBV. In CHB + LC vs. HCC group, PMS2-rs12112229(A) was related to the cancerization of liver.Conclusion: We found rs1150793(G), rs1540354(T) and rs12112229(A) were significantly related to HBV susceptibility, spontaneous clearance of HBV and cancerization after infection, respectively.

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Section: Discussionmentioning

confidence: 99%

Comprehensive investigating of mismatch repair genes (MMR) polymorphisms in participants with chronic hepatitis B virus infection

Sun²,

Kong³

et al. 2023

Front. Genet.

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“…First, the number of samples included in this study is relatively small. Second, breast cancer cells are highly heterogeneous, and the mechanism of snoRNAs in tumor genesis and development is so complex that a certain snoRNA may participate in various pathways and have multiple biological functions in different types of cells (44,45). Therefore, expanding the sample size, exploring the mechanism of multiple indicators, and analyzing the prognostic value in different types of breast cancer cells may advance the field.…”

Section: Discussionmentioning

confidence: 99%

Clinical significance and prognostic value of small nucleolar RNA SNORA38 in breast cancer

Song

Zheng

et al. 2022

Front. Oncol.

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BackgroundBreast cancer is the most common malignant tumor among women worldwide, and breast cancer stem cells (BCSCs) are believed to be the source of tumorigenesis. New findings suggest that small nucleolar RNAs (snoRNAs) play a significant role in tumor development.MethodsThe Cancer Genome Atlas (TCGA) and Kaplan–Meier survival analysis were used to demonstrate expression and survival of SNORA38 signature. In situ hybridization (ISH) and immunohistochemical (IHC) were conducted to analyze the correlation between SNORA38 and stemness biomarker in 77 BC samples. Gene Set Enrichment Analysis (GSEA) was performed to investigate the mechanisms related to SNORA38 expression in BC. Real-time qPCR was employed to evaluate the expression of SNORA38 in breast cancer cell lines.ResultsIn the public database and patients’ biopsies, SNORA38 was significantly up-regulated in breast cancer. Furthermore, the expression of SNORA38 was significantly correlated with tumor size, lymph node metastasis, and TNM stage, among which tumor size was an independent factor for SNORA38 expression. Higher SNORA38 expression was associated with shorter overall survival (OS). Meanwhile, SNORA38 was positively associated with the stem cell marker OCT-4, which suggested that SNORA38 might be related to breast cancer stemness.ConclusionsSNORA38 is an important carcinogenic snoRNA in breast cancer and might be a prognostic biomarker for breast cancer.

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“…However, its deletion did not exert a noticeable effect on global mRNA expression at the transcriptional level, but suppressed HCC tumorigenesis through the MAPK/ERK and TGF-βpathways. SNORA42 is highly upregulated in HCC and correlates with a poor prognosis [ 58 ]. It is critical in the development of HCC, and promotes proliferation, migration, invasion, and inhibition of apoptosis.…”

Section: Snornas and Liver Carcinogenesismentioning

confidence: 99%

Small Nucleolar RNAs and Their Comprehensive Biological Functions in Hepatocellular Carcinoma

Liu

Xie

Meng

et al. 2022

Cells

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Small nucleolar RNAs (snoRNAs) are a class of highly conserved, stable non-coding RNAs involved in both post-transcriptional modification of RNA and in ribosome biogenesis. Recent research shows that the dysfunction of snoRNAs plays a pivotal role in hepatocellular carcinoma (HCC) and related etiologies, such as hepatitis B virus (HBV), hepatitis C virus (HCV), and non-alcoholic fatty liver disease (NAFLD). Growing evidence suggests that snoRNAs act as oncogenes or tumor suppressors in hepatocellular carcinoma (HCC) through multiple mechanisms. Furthermore, snoRNAs are characterized by their stability in body fluids and their clinical relevance and represent promising tools as diagnostic and prognostic biomarkers. SnoRNAs represent an emerging area of cancer research. In this review, we summarize the classification, biogenesis, activity, and functions of snoRNAs, as well as highlight the mechanism and roles of snoRNAs in HCC and related diseases. Our findings will aid in the understanding of complex processes of tumor occurrence and development, as well as suggest potential diagnostic markers and treatment targets. Furthermore, we discuss several limitations and suggest future research and application directions.

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Small nucleolar RNA 42 promotes the growth of hepatocellular carcinoma through the p53 signaling pathway

Cited by 14 publications

References 23 publications

Comprehensive investigating of mismatch repair genes (MMR) polymorphisms in participants with chronic hepatitis B virus infection

Comprehensive investigating of mismatch repair genes (MMR) polymorphisms in participants with chronic hepatitis B virus infection

Clinical significance and prognostic value of small nucleolar RNA SNORA38 in breast cancer

Small Nucleolar RNAs and Their Comprehensive Biological Functions in Hepatocellular Carcinoma

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