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Long non-coding RNA expression profile associated with malignant progression of oral submucous fibrosis

ABSTRACT: Oral submucous fibrosis (OSF) as one of the malignant disorders endures a series of histopathological stages to invasive oral squamous cell carcinoma (OSCC) eventually. The role of long non-coding RNA (lncRNA) expression in OSF malignant progression is still poorly understood. Genome-wide lncRNA expression profiling of normal mucous, OSF and OSCC tissues was performed by RNA sequencing. Bioinformatic methods were applied for differential lncRNA analysis and functional enrichment analysis. Quantitative-RT-PCR was used to verify identified lncRNAs.21 novel transcripts were differentially expressed among all three stages during OSF progression with varied expression levels. Our study firstly comprehensively elucidated lncRNAs expression profile of the process of OSCC premalignant lesion to OSCC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE125866 | GEO | 2019/02/13

REPOSITORIES: GEO

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Project description:Analysis of various of up-regulated and down-regulated genes in normal oral mucosa and different stages of OSF. The report provides a data analysis methodology for identification of co-expressed gene patterns, as emerging clusters, in global transcriptome of oral mucosal pre-malignant and malignant conditions in comparison to their normal counterparts. Microarray based study of global gene expression is often used to extract molecular signatures underlying cancer progression. Such endeavors endorse self organizing map, a type of artificial neural network to analyze high dimensional pre-processed transcriptome data to segregate hotspot genes in component plane for disease subtypes. This report provides a data analysis methodology for identification of co-expressed gene patterns, as emerging clusters, in global transcriptome of oral mucosal pre-malignant and malignant conditions in comparison to their normal counterparts. Four exclusive cluster patterns, each involving 100 − 300 genes, were identified from component planes for oral study groups. Gene expression associated with each pattern belonged to 32 biological processes. The transcription and RNA processing, and angiogenesis were dominant in normal oral condition, while immunity, cellular differentiation and migration, neuron signalling, connective tissue organization, tumor suppression, and enzyme regulation showed predominance in oral squamous cell carcinoma. In dysplasia skeletal and ligament development processes were dominant while in non-dysplastic sub-mucous fibrosis cytoskeleton reorganization and neuron signalling were pre-dominant. In dysplasia an intermediate pattern with nine different dominant functional processes was identified. This analysis demonstrated utility of self organizing map to capture dominant enriched patterns as visual plots and revealed six common biological processes like transcription and RNA processing, cytoskeleton reorganization, angiogenesis, immunity, neuron signalling, and connective tissue remodeling in the pathogenesis of oral cancer. In fact it could provide an intuitive understanding of molecular course in carcinogenesis and may contribute for combinatorial biomarker discovery.

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Long non-coding RNA expression profile associated with malignant progression of oral submucous fibrosis

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