Circular RNAs (circRNAs) in cancer

Zhou, Ruoyu; Wu, Yuwei; Wang, Wenxi; Su, Wen; Liu, Yicong; Wang, Yumin; Fan, Chongxi; Li, Xiaoling; Li, Guiyuan; Li, Yong; Xiong, Wei; Zeng, Zhaoyang

doi:10.1016/j.canlet.2018.03.035

Cited by 223 publications

(160 citation statements)

References 85 publications

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“…These differences reflect that some other reasons may affect the expression level of these five genes. Except DNA methylation, histone modification is also an important way of regulating of gene expression and associated with transcriptional activity [57,58]. Enrichment for histone H3 Lys 27 acetylation (H3K27Ac) has been found in the DNA regions of VEGFA, GAPDH and FN1 as confirmed by UCSC Genome Browser (https://genome.ucsc.edu/), which may cause a significant increase of mRNA levels of VEGFA, GAPDH and FN1 when their promoters are hypermethylated.…”

Section: Ppimentioning

confidence: 98%

A network-based approach to identify DNA methylation and its involved molecular pathways in testicular germ cell tumors

Cao

Tang

et al. 2019

J. Cancer

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Background : Testicular germ cell tumors (TGCT) is the most common testicular malignancy threaten young male reproductive health. This study aimed to identify aberrantly methylated-differentially expressed genes and pathways in TGCT by comprehensive bioinformatics analysis. Methods : Data of gene expression microarrays (GSE3218, GSE18155) and gene methylation microarrays (GSE72444) were collected from GEO database. Integrated analysis acquired aberrantly methylated-genes. Functional and pathway enrichment analysis were performed using DAVID database. Protein-protein interaction (PPI) network was constructed by STRING and App Mcode was used for module analysis. GEPIA platform and DiseaseMeth database were used for confirming the expression and methylation levels of hub genes. Finally, Human Protein Atlas database was performed to evaluate the prognostic significance. Results : Totally 604 hypomethylation-high expression and 147 hypermethylation-low genes were identified. The high expressed genes were enriched in biological processes of cell proliferation and migration. The top 8 hub genes of PPI network were GAPDH, VEGFA, PTPRC, RIPK4, MMP9, CSF1R, KRAS and FN1. After validation in GEPIA platform, all hub genes were elevated in TGCT tissues. Only MMP9, CSF1R and PTPRC showed hypomethylation-high expression status, which predicted the poor outcome of TGCT patients. Conclusion : Our study indicated possible aberrantly methylated-differentially expressed genes and pathways in TGCT by bioinformatics analysis, which may provide novel insights for unraveling pathogenesis of TGCT.

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Section: Ppimentioning

confidence: 98%

A network-based approach to identify DNA methylation and its involved molecular pathways in testicular germ cell tumors

Cao

Tang

et al. 2019

J. Cancer

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“…In addition to the interaction between PVT1 and MYC, the newly discovered molecule CircPVT1 is also associated with MYC [145][146][147][148][149]. CircPVT1 is highly expressed in cancer and can mediate the expression of c-Myc [22,150].…”

Section: Perspectivesmentioning

confidence: 99%

Long non-coding RNA PVT1 interacts with MYC and its downstream molecules to synergistically promote tumorigenesis

Jin

Wang

Zhang

et al. 2019

Cell. Mol. Life Sci.

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118

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Numerous studies have shown that non-coding RNAs play crucial roles in the development and progression of various tumor cells. Plasmacytoma variant translocation 1 (PVT1) mainly encodes a long non-coding RNA (lncRNA) and is located on chromosome 8q24.21, which constitutes a fragile site for genetic aberrations. PVT1 is well-known for its interaction with its neighbor MYC, which is a qualified oncogene that plays a vital role in tumorigenesis. In the past several decades, increasing attention has been paid to the interaction mechanism between PVT1 and MYC, which will benefit the clinical treatment and prognosis of patients. In this review, we summarize the coamplification of PVT1 and MYC in cancer, the positive feedback mechanism, and the latest promoter competition mechanism of PVT1 and MYC, as well as how PVT1 participates in the downstream signaling pathway of c-Myc by regulating key molecules. We also briefly describe the treatment prospects and research directions of PVT1 and MYC.

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“…Circular RNAs (circRNAs) are formed by linking a downstream 5′ splicing site to an upstream 3′ splicing site and are more stable than linear RNAs . Circular RNAs were originally thought to be byproducts of splicing errors and were not widely studied.…”

Section: Introductionmentioning

confidence: 99%

“…Circular RNAs (circRNAs) are formed by linking a downstream 5′ splicing site to an upstream 3′ splicing site and are more stable than linear RNAs. 21,22 Circular RNAs were originally thought to be byproducts of splicing errors and were not widely studied. In recent years, many studies have found that a variety of circRNAs are frequently abnormally expressed in malignant cancers and might participate in the initiation and development of malignant cancers.…”

mentioning

confidence: 99%

circMAN1A2 could serve as a novel serum biomarker for malignant tumors

et al. 2019

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Novel diagnostic and prognostic biomarkers of cancers are needed to improve precision medicine. Circular RNAs act as important regulators in cancers at the transcriptional and posttranscriptional levels. The circular RNA circMAN1A2 is highly expressed in nasopharyngeal carcinoma according to our previous RNA sequencing data; however, the expression and functions of circMAN1A2 in cancers are still obscure. Therefore, in this study, we evaluated the expression of circMAN1A2 in the sera of patients with nasopharyngeal carcinoma and other malignant tumors and analyzed its correlations with clinical features and diagnostic values. The expression levels of circMAN1A2 were detected by quantitative real‐time PCR, and the correlations of clinical features with circMAN1A2 expression were analyzed by χ2 tests. Receiver operating characteristic curves were used to evaluate the clinical applications of circMAN1A2. The results showed that circMAN1A2 was upregulated in nasopharyngeal carcinoma, oral cancer, thyroid cancer, ovarian cancer, and lung cancer, with areas under the curves of 0.911, 0.779, 0.734, 0.694, and 0.645, respectively, indicating the good diagnostic value of circMAN1A2. Overall, our findings suggested that circMAN1A2 could be a serum biomarker for malignant tumors, providing important insights into diagnostic approaches for malignant tumors. Further studies are needed to elucidate the mechanisms of circMAN1A2 in the pathogenesis of cancer.

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Circular RNAs (circRNAs) in cancer

Cited by 223 publications

References 85 publications

A network-based approach to identify DNA methylation and its involved molecular pathways in testicular germ cell tumors

A network-based approach to identify DNA methylation and its involved molecular pathways in testicular germ cell tumors

Long non-coding RNA PVT1 interacts with MYC and its downstream molecules to synergistically promote tumorigenesis

circMAN1A2 could serve as a novel serum biomarker for malignant tumors

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