Dataset Information

Events of alternative splicing in head and neck cancer via RNA sequencing - an update.

ABSTRACT:

Background

Alternative splicing (AS) is a regulatory mechanism used to create many forms of mature messengers RNAs (mRNAs) from the same gene. Sequencing of RNA (RNA-Seq) is an advanced technology, which has been utilized by different studies to find AS mechanisms in head and neck cancer (HNC). Hitherto, there is no available review that could inform us of the major findings from these studies. Hence, we aim to perform a systematic literature search following PRISMA guidelines to study AS events in HNC identified through RNA-Seq studies.

Results

A total of five records were identified that utilized RNA-Seq data for identifying AS events in HNC. Five software was used in these records to identify AS events. Two genes influenced by AS i.e. MLL3 and RPS9 were found to be common in 4 out of 5 records. Likewise, 38 genes were identified to be similar in at least 3 records.

Conclusions

Alternative splicing in HNC is a multifaceted regulatory mechanism of gene expression. It can be studied via RNA-Seq using different bioinformatics tools. Genes MLL3, as well as RPS9, were repeatedly found to be associated with HNC, however needs further functional validation.

SUBMITTER: Sharma V

PROVIDER: S-EPMC6545735 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Publications

Events of alternative splicing in head and neck cancer via RNA sequencing - an update.

Sharma Vishwas V Nandan Amrita A Singh Harpreet H Agarwal Suyash S Tripathi Richa R Sinha Dhirendra Narain DN Mehrotra Ravi R

BMC genomics 20190603 1

<h4>Background</h4>Alternative splicing (AS) is a regulatory mechanism used to create many forms of mature messengers RNAs (mRNAs) from the same gene. Sequencing of RNA (RNA-Seq) is an advanced technology, which has been utilized by different studies to find AS mechanisms in head and neck cancer (HNC). Hitherto, there is no available review that could inform us of the major findings from these studies. Hence, we aim to perform a systematic literature search following PRISMA guidelines to study A ...[more]

PMID: 31159745

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Project description:Alternative splicing (AS) regulates multiple biological processes including flowering, circadian and stress response in plant. Although accumulating evidences indicate that AS is developmentally regulated, how AS responds to developmental cues is not well understood. Early fruit growth mainly characterized by active cell division and cell expansion contributes to the formation of fruit morphology and quality traits. Transcriptome profiling has revealed the coordinated complex regulation of gene expression in the process. High throughput RNA sequencing (RNA-seq) technology is advancing the genome-wide analysis of AS events in plant species, but the landscape of AS in early growth fruit is still not available for tomato (Solanum lycopersicum), a model plant for fleshy fruit development study.Using RNA-seq, we surveyed the AS patterns in tomato seedlings, flowers and young developing fruits and found that 59.3 % of expressed multi-exon genes underwent AS in these tissues. The predominant type of AS events is intron retention, followed by alternative splice donor and acceptor, whereas exon skipping has the lowest frequency. Although the frequencies of AS events are similar among seedlings, flowers and early growth fruits, the fruits generated more splice variants per gene. Further comparison of gene expression in early growth fruits at 2, 5 and 10 days post anthesis revealed that 5206 multi-exon genes had at least one splice variants differentially expressed during early fruit development, whereas only 1059 out of them showed differential expression at gene level. We also identified 27 multi-exon genes showing differential splicing during early fruit growth. In addition, the study discovered 2507 new transcription regions (NTRs) unlinked to the annotated chromosomal regions, from where 956 putative protein coding transcripts and 1690 putative long non-coding RNAs were identified.Our genome-wide analysis of AS events reveals a distinctive AS pattern in early growth tomato fruits. The landscape of AS obtained in this study will facilitate future investigation on transcriptome complexity and AS regulation during early fruit growth in tomato. The newly found NTRs will also be useful for updating the tomato genome annotation.

Project description:Alternative splicing (AS) is an important mechanism that is responsible for the production of protein diversity. An increasing body of evidence has suggested that out-of-control AS is closely related to the genesis and development of cancer. Systematic analysis of genome-wide AS in head and neck squamous cell carcinoma (HNSCC) has not yet been carried out, and consideration of this topic remains at the preliminary stage and requires further investigation. In this study, systemic bioinformatic analysis was carried out on the genome-wide AS events of 555 clinical HNSCC samples from the TCGA database. Firstly, we statistically analyzed the distributions of seven AS event types in HNSCC samples. Then, through univariate survival analysis, we observed the relationship between AS and the prognosis of the disease and found that 437 intersections of AS events were significantly related to overall survival. Among them, 335 cross-genes showed a high degree of consistency in the genes associated with overall survival and recurrence. The overall survival was significantly related to AS events. Besides, the frequency of overall survival-related ES events was evidently reduced, while the AP and the AT events were increased. In addition, AT events accounted for the largest proportion. Further, multiple regression model analysis proved that AS could become a new classification method for HNSCC, and KEGG enrichment analysis proved that most genes and proteins interacting with AS events had different biological functions and were associated with a variety of diseases. Finally, through the selection of characteristic HNSCC genes and the construction of a prognostic model, seven cross-genes related to survival and recurrence were screened out, and these characteristic genes were verified by multivariate survival model analysis so as to classify the prognosis at different splicing times and gene expression levels. These results have laid a solid foundation for our further research and play a decisive role in showing the correlation of AS with the prognosis of HNSCC.

Project description:ObjectiveHead and neck squamous cell carcinoma (HNSCC) is a highly heterotopic malignant tumor. Alternative splicing (AS) and RNA modification have been reported to be involved in tumorigenesis. Therefore, we constructed RNA modification-associated AS (RMA-AS) signature model to predict the prognosis of HNSCC.MethodsAS events and RNA-modified gene expression information were downloaded from TCGA-HNSCC database. Univariate Cox regression analysis was employed for analyzing prognosis-related AS events. RMA-AS events were obtained by constructing a coexpression network between RNA modification-associated genes and AS events using WGCNA package. The prognostic signatures were analyzed by LASSO, univariate Cox, and multivariate Cox regression. Kaplan-Meier survival analysis, proportional hazard model, and ROC curve were performed to verify the prognostic value. "ESTIMATE" R package, ssGSEA algorithm, and CIBERSORT method were used to detect immune microenvironment in HNSCC. Cytoscape was utilized to build a regulatory network of splicing factor-regulated RMA-AS.ResultsThere were 16,574 prognostic AS events and 4 differentially expressed RNA modification-associated genes in HNSCC. Based on RMA-AS events, we obtained a risk model consisting of 14 AS events, named RMA-AS_Score. The samples were divided into RMA-AS_Score high- and RMA-AS_Score low-risk groups, according to the risk score. The RMA-AS_Score high group was related to poor prognosis. Moreover, the RMA-AS_Score signature was an independent prognostic predictor and was related to tumor grade. Meanwhile, the AUC value of RMA-AS_Score was 0.652, which is better than other clinical characteristics. Besides, a nomogram prediction model of quantitative prognosis has also been developed, which has robust effectiveness in predicting prognosis. In addition, the prognostic signature was observably related to immune microenvironment and immune checkpoint. Finally, 14 splicing factors were identified and constructed into a network of splicing factor-regulated RMA-AS.ConclusionWe identified the RMA-AS signature of HNSCC. This signature could be treated as an independent prognostic predictor.

Dataset Information

Events of alternative splicing in head and neck cancer via RNA sequencing - an update.

Background

Results

Conclusions

Publications

Events of alternative splicing in head and neck cancer via RNA sequencing - an update.

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