Prognostic and clinicopathological significance of SNHG20 in human cancers: a meta-analysis

Zhu, Hongyi; Zhao, Si; Jiao, Ruonan; Wang, Huishan; Tang, Ruiyi; Wu, Xiaochao; Wang, Fei; Ge, Xianxiu; Li, Quanpeng; Ma, Lin

doi:10.1186/s12935-020-01403-8

Cited by 6 publications

(4 citation statements)

References 32 publications

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“…In agreement with our data, SNHG20 expression markedly increased in tumor tissues and promoted the malignant progression in laryngeal squamous cell carcinoma ( Li et al, 2019 ), epithelial ovarian cancer ( Wang et al, 2019 ), and osteosarcoma ( Zhang et al, 2018 ). Upregulated SNHG20 expression is capable of serving as an innovative predictive factor of inferior clinical outcomes in cancer patients ( Zhu H. et al, 2020 ). On the other hand, one limitation of our study is that our research regarding the 13 genes that make up our signature and predict survival is insufficient; further validation in clinical practice is needed.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive Transcriptomic Analysis of Critical RNA Regulation Associated With Metabolism and Prognosis in Clear Cell Renal Carcinoma

Liu

Zhou

Wang

et al. 2021

Front. Cell Dev. Biol.

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This study focuses on investigating the metabolism-related gene profile and prognosis of clear cell renal cell carcinoma (ccRCC) patients. The research data from the Gene Expression Omnibus database, including GSE40435, GSE53757, and GSE53000, were used to analyze the consistently differentially expressed RNAs (cDERs) by the MetaDE limma package. Gene expression profiling associated with metabolism was downloaded from the GSEA database. The cancer genome atlas (TCGA) dataset of ccRCC (the training set) and RNA sequencing data of E-MTAB-3267 from EBI ArrayExpress database (the validation set) were obtained to construct a prognostic model. A series of bioinformatics analysis, including functional enrichment analysis, Cox regression analysis, and constructing a prognostic score (PS) model, was performed. Further in vitro experiments including cell proliferation assay and flow cytometry were performed to validate our results. We constructed a metabolism-related prognostic model based on 27 DElncRNAs and 126 DEGs. Gene Set Enrichment Analysis revealed that 19 GO terms and 9 KEGG signaling pathways were significantly associated with lipid metabolic pathways. Furthermore, we generated a nomogram illustrating the association between the identified DERs and the tumor recurrence risk in ccRCC. The results from experimental validation showed that lncRNA SNHG20 was significantly upregulated in tumor tissues compared with adjacent tissues. Knockdown of SNHG20 suppressed the proliferation and induced cell cycle G0/G1 arrest, and apoptosis in ccRCC cells. Our study might contribute to a better understanding of metabolic pathways and to the further development of novel therapeutic approaches for ccRCC.

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Section: Discussionmentioning

confidence: 99%

Comprehensive Transcriptomic Analysis of Critical RNA Regulation Associated With Metabolism and Prognosis in Clear Cell Renal Carcinoma

Liu

Zhou

Wang

et al. 2021

Front. Cell Dev. Biol.

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“… 25 SNHG20 expression was increased in multiple cancers, suggesting an effect of SNHG20 on cancer development and progression. 26 In HCC tissue samples, LINC00205 expression was significantly increased and LINC00205 enhanced the proliferation, migration and invasion of HCC cells. 27 AC092171.4 sponges miR-1271 and upregulate GRB2 to promote HCC development.…”

Section: Discussionmentioning

confidence: 94%

The Prognostic Value of a lncRNA Risk Model Consists of 9 m6A Regulator-Related lncRNAs in Hepatocellular Carcinoma (HCC)

Deng

Hou

et al. 2023

Evol Bioinform Online

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Hepatocellular carcinoma (HCC) is the most common primary malignancy of the liver. Although the RNA modification N6-methyladenine (m6A) has been reported to be involved in HCC carcinogenesis, early diagnostic markers and promising personalized therapeutic targets are still lacking. In this study, we identified that 19 m6A regulators and 34 co-expressed lncRNAs were significantly upregulated in HCC samples; based on these factors, we established a prognostic signal of HCC associated with 9 lncRNAs and 19 m6A regulators using LASSO Cox regression analysis. Kaplan-Meier survival estimate revealed correlations between the risk scores and patients’ OS in the training and validation dataset. The ROC curve demonstrated that the risk score-based curve has satisfactory prediction efficiency for both training and validation datasets. Multivariate Cox’s proportional hazard regression analysis indicated that the risk score was an independent risk factor within the training and validation dataset. In addition, the risk score could distinguish HCC patients from normal non-cancerous samples and HCC samples of different pathological grades. Eventually, 232 mRNAs were co-expressed with these 9 lncRNAs according to GSE101685 and GSE112790; these mRNAs were enriched in cell cycle and cell metabolic activities, drug metabolism, liver disease-related pathways, and some important cancer related pathways such as p53, MAPK, Wnt, RAS and so forth. The expression of the 9 lncRNAs was significantly higher in HCC samples than that in the neighboring non-cancerous samples. Altogether, by using the Consensus Clustering, PCA, ESTIMATE algorithm, LASSO regression model, Kaplan-Meier survival assessment, ROC curve analysis, and multivariate Cox’s proportional hazard regression model analysis, we established a prognostic marker consisting of 9 m6A regulator-related lncRNAs that markers may have prognostic and diagnostic potential for HCC.

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“…Due to the limited number of articles containing RFS of NPC, the present meta-analysis did not find any significant association between lncRNA expression and the RFS of patients with NPC. Multiple studies have identified lncRNAs, such as ZEB1-AS1, lncRNA ATB, SNHG12 and SNHG20, as potential prognostic markers for RFS in various tumors (15,(59)(60)(61). Furthermore, the neutrophil-to-lymphocyte ratio, O blood group, EBV DNA and serum LDH have been proposed as potential biomarkers for RFS in patients with NPC (62-65).…”

Section: Discussionmentioning

confidence: 99%

lncRNAs are potential prognostic markers in patients with nasopharyngeal carcinoma in China: A systematic review and meta‑analysis

Yu,

Ye,

Zhao

et al. 2023

Mol Clin Oncol

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The present study aimed to investigate the association between the expression profiles of long non-coding RNAs (lncRNAs) and the clinical characteristics or prognosis of patients with nasopharyngeal carcinoma (NPC). The findings presented in the present review may provide novel strategies for the prevention and treatment of NPC. For the analyses, medical databases, including PubMed, Web of Science and Cochrane library were searched using specific search terms, search strategies and screening strategies. Endnote X9 document management software was then employed to extract documents from January, 2010 to May, 2023. Data were extracted following the prescribed standards. Review Manager 5.4 and STATA 12.0 data analysis software were used for data analysis. A total of 490 publications were analyzed for inclusion. In total, 29 publications, composed of 24 studies with upregulated lncRNAs and 5 studies with downregulated lncRNAs, were included in the final analysis. The analysis revealed that the upregulation of lncRNAs was significantly associated with T stage, N stage and clinical stage, as well as with the overall survival (OS) and disease-free survival (DFS) of patients with NPC (P<0.05). However, there was no significant association between the upregulated lncRNAs and sex, M stage or relapse-free survival (RFS) (P>0.05). On the other hand, the suppression of lncRNA expression was significantly associated with N stage, M stage, clinical stage and the OS of patients with NPC (P<0.05), but not with T stage and RFS (P>0.05). Taken together, the present review demonstrates that the up- and downregulation of different lncRNAs was associated with an advanced clinical stage and a shorter OS of patients with NPC. Therefore, lncRNAs may serve as potential prognostic factors in NPC.

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Prognostic and clinicopathological significance of SNHG20 in human cancers: a meta-analysis

Cited by 6 publications

References 32 publications

Comprehensive Transcriptomic Analysis of Critical RNA Regulation Associated With Metabolism and Prognosis in Clear Cell Renal Carcinoma

Comprehensive Transcriptomic Analysis of Critical RNA Regulation Associated With Metabolism and Prognosis in Clear Cell Renal Carcinoma

The Prognostic Value of a lncRNA Risk Model Consists of 9 m6A Regulator-Related lncRNAs in Hepatocellular Carcinoma (HCC)

lncRNAs are potential prognostic markers in patients with nasopharyngeal carcinoma in China: A systematic review and meta‑analysis

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