The Potential Roles of Long Noncoding RNAs (lncRNA) in Glioblastoma Development

Liu, Shuang; Mitra, Ramkrishna; Zhao, Mingming; Fan, Wenhong; Eischen, Christine M.; Yin, Feng; Zhao, Zhongming

doi:10.1158/1535-7163.mct-16-0320

Cited by 56 publications

(43 citation statements)

References 55 publications

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“…Similarly, we constructed a lncRNA-gene interaction network by including DElncs and their co-expressed DEGs (p value< 0.05 for Spearman's correlation coefficient). This was built on the assumption that lncRNAs may regulate their target genes, although they may not directly bind to the genes [32].…”

Section: Construction Of Regulatory Network For Hfmentioning

confidence: 99%

Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression

Hua

Wang

Jia

et al. 2020

BMC Med

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Background: Heart failure (HF) has been recognized as a global pandemic with a high rate of hospitalization, morbidity, and mortality. Although numerous advances have been made, its representative molecular signatures remain largely unknown, especially the role of genes in HF progression. The aim of the present prospective followup study was to reveal potential biomarkers associated with the progression of heart failure. Methods:We generated multi-level transcriptomic data from a cohort of left ventricular heart tissue collected from 21 HF patients and 9 healthy donors. By using Masson staining to calculate the fibrosis percentage for each sample, we applied lasso regression model to identify the genes associated with fibrosis as well as progression. The genes were further validated by immunohistochemistry (IHC) staining in the same cohort and qRT-PCR using another independent cohort (20 HF and 9 healthy donors). Enzyme-linked immunosorbent assay (ELISA) was used to measure the plasma level in a validation cohort (139 HF patients) for predicting HF progression.Results: Based on the multi-level transcriptomic data, we examined differentially expressed genes [mRNAs, microRNAs, and long non-coding RNAs (lncRNAs)] in the study cohort. The follow-up functional annotation and regulatory network analyses revealed their potential roles in regulating extracellular matrix. We further identified several genes that were associated with fibrosis. By using the survival time before transplantation, COL1A1 was identified as a potential biomarker for HF progression and its upregulation was confirmed by both IHC and qRT-PCR. Furthermore, COL1A1 content ≥ 256.5 ng/ml in plasma was found to be associated with poor survival within 1 year of heart transplantation from heart failure [hazard ratio (HR) 7.4, 95% confidence interval (CI) 3.5 to 15.8, Logrank p value < 1.0 × 10 − 4 ]. Conclusions:Our results suggested that COL1A1 might be a plasma biomarker of HF and associated with HF progression, especially to predict the 1-year survival from HF onset to transplantation.

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Section: Construction Of Regulatory Network For Hfmentioning

confidence: 99%

Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression

Hua

Wang

Jia

et al. 2020

BMC Med

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“…[9][10][11][12] However, the bio-functions and molecular mechanisms of lncRNAs in Wilms' tumour remained largely unknown.…”

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confidence: 99%

LINC00473 antagonizes the tumour suppressor miR‐195 to mediate the pathogenesis of Wilms tumour via IKKα

Zhu

Zhang

et al. 2017

Cell Proliferation

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Objectives: Although dramatic improvements of overall survival has achieved in patients with favourable histology Wilms tumour, disease recurrence is still the main cause of cancer-related death in childhood. Long non-coding RNAs (lncRNAs) as oncogenes or tumour suppressors are dysregulated during carcinogenesis. However, the role of lncRNAs in the pathogenesis of Wilms tumour is unknown. Here, an lncRNA LINC00473 signature that functioned as oncogene was identified in Wilms tumour.

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“…Several studies have shown the association between aberrant lncRNA expression and different types of cancers [27,28]. In recent years, some efforts have been made to uncover dysregulated lncRNAs in GBM through gene microarray or RNA-sequencing [29][30][31]. However, no study has focused on the ceRNA network which reflecting lncRNA-miRNA-mRNA interaction or regulation pairs for GBM.…”

Section: Discussionmentioning

confidence: 99%

Systemic analysis of lncRNA and miRNA expression profiles with associated ceRNA network in glioblastoma

Sun¹,

Liu²,

Song³

et al. 2018

Oncotarget

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Glioblastoma (GBM) is the most common malignant brain tumor with high morbidity and mortality. Long and small non-coding RNA, i.e. lncRNA and miRNA in this study, play important roles in progression of complex diseases and competes with each other when regulate expression of mRNA. In this study, we conducted systemic analysis of high-throughput gene sequencing and microarray datasets to explore expression regulation patterns in GBM. Differential expression mRNAs, lncRNAs and miRNAs were obtained through comprehensively comparinged their expression profiles between GBM and adjacent non-tumor tissues. As a result, a total of 28 lncRNAs were found to be aberrantly expressed (|log2 (fold change)| > 1, corrected p-value < 0.01) and six out of them were significantly associated with GBM prognosis. The expression changes of the six lncRNAs were further validated through quantative PCR analysis. Finally, lncRNA mediated competition endogenous (ceRNA) network was constructed, which should be helpful for the understanding of lncRNA mediated ceRNA network and identification of prognosis biomarker for GBM.

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The Potential Roles of Long Noncoding RNAs (lncRNA) in Glioblastoma Development

Cited by 56 publications

References 55 publications

Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression

Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression

LINC00473 antagonizes the tumour suppressor miR‐195 to mediate the pathogenesis of Wilms tumour via IKKα

Systemic analysis of lncRNA and miRNA expression profiles with associated ceRNA network in glioblastoma

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