Long non-coding RNA PVT1 and cancer

Cui, Ming; You, Lei; Ren, Xiaoxia; Zhao, Wenjing; Liao, Quan; Zhao, Yupei

doi:10.1016/j.bbrc.2015.12.101

Cited by 120 publications

(118 citation statements)

References 46 publications

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“…An analogous network of interactions is described in this issue of Digestive Diseases and Sciences by Li et al [4] for PVT1, a known oncogenic lncRNA for GC [5]. More precisely, they reported that PVT1 sponges miR-152 in vitro, as perhaps expected by the in silico analysis that revealed three binding sites for miR-152 in the PVT1 sequence.…”

supporting

confidence: 61%

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Long Non-coding RNAs in Gastric Cancer: A True Relationship or miR Chance?

Mavridis

2017

Dig Dis Sci

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supporting

confidence: 61%

“…1). All the involved molecules of the PVT1 network, including PVT1 itself [5], are associated with GC prognosis. MiR-152 suppresses GC cell proliferation and is inversely related to tumor stage and size [6,7].…”

mentioning

confidence: 99%

Long Non-coding RNAs in Gastric Cancer: A True Relationship or miR Chance?

Mavridis

2017

Dig Dis Sci

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“…Review articles have also summarized the critical role that PVT1 may play in the progression of a wide range of cancers [24, 25]. A meta-analysis by Liu et al also suggested that the up-regulation of PVT1 predicted lymph node metastasis and a worse OS in cancer patients, although the association between PVT1 and other clinicopathological parameters was not discussed [15]_ENREF_15.…”

Section: Discussionmentioning

confidence: 99%

Prognostic Significance of LncRNA PVT1 and Its Potential Target Gene Network in Human Cancers: a Comprehensive Inquiry Based Upon 21 Cancer Types and 9972 Cases

Qin

Lin

et al. 2018

Cell Physiol Biochem

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Background/Aims: Whether the level of long noncoding RNA plasmacytoma variant translocation 1 gene (lncRNA PVT1) expression influences the clinical development and outcome of human cancers has not been thoroughly elucidated to date. Inconsistencies still exist regarding the associations between PVT1 and the clinicopathological features, including patient survival data. Additionally, the regulatory mechanism of PVT1 among human cancers remains unclear. Methods: we conducted a comprehensive inquiry to verify the implication of PVT1 expression in cancer patients by conducting a meta-analysis of 19 selected studies and The Cancer Genome Atlas (TCGA) database to examine the relationship between PVT1 expression and both the prognosis and clinicopathological features of cancer patients using STATA 12.0. In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the potential mRNA target genes of PVT1 gathered from TANRIC and Multi Experiment Matrix (MEM) were performed. Results: The level of PVT1 expression in tumor tissues was higher than in paired non-cancer tissues and was significantly associated with a poorer prognosis in cancer patients. Additionally, overexpression of PVT1 was significantly correlated with histological differentiation, tumor (T) classification, lymph node (N) classification and TNM stages. Furthermore, a total of 462 validated target genes were identified, and the GO and KEGG analyses demonstrated that the validated targets of PVT1 were significantly enriched in several pathways, including the GnRH signaling pathway, the Cytokine-cytokine receptor interaction pathway, the Inflammatory mediator regulation of TRP channels pathway, and the Neuroactive ligand-receptor interaction pathway. Conclusion: PVT1 may serve as a potential biomarker associated with the progression and prognosis of human cancers.

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“…It was first discovered as an activator of MYC in murine plasmacytoma variant translocations [31]. Follow-up studies have brought PVT1 under the spotlight, suggesting interesting models of functioning, including participating in DNA rearrangements, encoding microRNAs, and interacting with MYC [32]. In addition to cancers, variations of PVT1 are associated with end-stage renal disease attributed to both type 1 and type 2 DM [33,34].…”

Section: Cellular Physiology and Biochemistrymentioning

confidence: 99%

Microarray Analysis of Long Noncoding RNAs in Female Diabetic Peripheral Neuropathy Patients

Lin

Cai

et al. 2018

Cell Physiol Biochem

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Background/Aims: Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus (DM). Because of its controversial pathogenesis, DPN is still not diagnosed or managed properly in most patients. Methods: In this study, human lncRNA microarrays were used to identify the differentially expressed lncRNAs in DM and DPN patients, and some of the discovered lncRNAs were further validated in additional 78 samples by quantitative realtime PCR (qRT-PCR). Results: The microarray analysis identified 446 and 1327 differentially expressed lncRNAs in DM and DPN, respectively. The KEGG pathway analysis further revealed that the differentially expressed lncRNA-coexpressed mRNAs between DPN and DM groups were significantly enriched in the MAPK signaling pathway. The lncRNA/mRNA coexpression network indicated that BDNF and TRAF2 correlated with 6 lncRNAs. The qRT-PCR confirmed the initial microarray results. Conclusion: These findings demonstrated that the interplay between lncRNAs and mRNA may be involved in the pathogenesis of DPN, especially the neurotrophin-MAPK signaling pathway, thus providing relevant information for future studies.

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Long non-coding RNA PVT1 and cancer

Cited by 120 publications

References 46 publications

Long Non-coding RNAs in Gastric Cancer: A True Relationship or miR Chance?

Long Non-coding RNAs in Gastric Cancer: A True Relationship or miR Chance?

Prognostic Significance of LncRNA PVT1 and Its Potential Target Gene Network in Human Cancers: a Comprehensive Inquiry Based Upon 21 Cancer Types and 9972 Cases

Microarray Analysis of Long Noncoding RNAs in Female Diabetic Peripheral Neuropathy Patients

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