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Analysis of long non-coding RNA expression profiles identifies novel lncRNA biomarkers in the tumorigenesis and malignant progression of gliomas.

Oncotarget | 2017

Long non-coding RNAs have been shown to be associated with cancer development and progression, demonstrating potential applications as novel diagnostic or prognostic molecular markers in clinical management and treatment. However, the functional significance of lncRNAs in the development and malignant progression of gliomas is still unclear and needed to be further explored. we first obtained genome-wide lncRNA expression profiles in a large cohort of patients with gliomas from the Gene Expression Omnibus database using microarray probes repurposing method and investigated the lncRNA expression patterns during the tumorigenesis and malignant progression of gliomas. By using differential expression analysis, we identified a large number of lncRNAs that were associated with the tumorigenesis and malignant progression of gliomas in the training dataset and showed their robustness in the testing dataset. Subsequently, we identified a novel four-lncRNA signature which was closely related to the prognosis of patients with GBM. The prognostic value of this signature was verified in the test set of 80 patients. Functional analysis suggested that the four lncRNAs associated with survival of patients with GBM may be involved in cancer-related biological processes and pathways and their deregulation may lead to GBM tumorigenesis and progression. These novel lncRNA biomarkers will improve our understanding of the molecular mechanisms during the development and progression of glioma and provide novel diagnostic or prognostic markers and therapeutic targets for gliomas.

Pubmed ID: 28978068 RIS Download

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This is a list of tools and resources that we have found mentioned in this publication.


Gene Expression Omnibus (GEO) (tool)

RRID:SCR_007303

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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Ensembl (tool)

RRID:SCR_002344

Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species.

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RefSeq (tool)

RRID:SCR_003496

Collection of curated, non-redundant genomic DNA, transcript RNA, and protein sequences produced by NCBI. Provides a reference for genome annotation, gene identification and characterization, mutation and polymorphism analysis, expression studies, and comparative analyses. Accessed through the Nucleotide and Protein databases.

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_005012

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

View all literature mentions