scholarly journals Alternative splicing of synuclein gamma in endometrial cancer: identification of a novel isoform

Oncotarget ◽  
2015 ◽  
Vol 6 (26) ◽  
pp. 22553-22563 ◽  
Author(s):  
Kathrin Schaal ◽  
Marc Hirschfeld ◽  
Peter Bronsert ◽  
Hannah Füllgraf ◽  
Markus Jäger ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Alternative Splicing ◽  
Synuclein Gamma

scholarly journals Identification of Tumor Microenvironment-Related Alternative Splicing Events to Predict the Prognosis of Endometrial Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Xuan Liu ◽  
Chuan Liu ◽  
Jie Liu ◽  
Ying Song ◽  
Shanshan Wang ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Endometrial Cancer ◽  
Alternative Splicing ◽  
Tumor Microenvironment ◽  
Risk Score ◽  
Risk Group ◽  
Gene Signature ◽  
Unsupervised Cluster ◽  
Score Model ◽  
Unsupervised Cluster Analysis

BackgroundEndometrial cancer (EC) is one of the most common female malignant tumors. The immunity is believed to be associated with EC patients’ survival, and growing studies have shown that aberrant alternative splicing (AS) might contribute to the progression of cancers.MethodsWe downloaded the clinical information and mRNA expression profiles of 542 tumor tissues and 23 normal tissues from The Cancer Genome Atlas (TCGA) database. ESTIMATE algorithm was carried out on each EC sample, and the OS-related different expressed AS (DEAS) events were identified by comparing the high and low stromal/immune scores groups. Next, we constructed a risk score model to predict the prognosis of EC patients. Finally, we used unsupervised cluster analysis to compare the relationship between prognosis and tumor immune microenvironment.ResultsThe prognostic risk score model was constructed based on 16 OS-related DEAS events finally identified, and then we found that compared with high-risk group the OS in the low-risk group was notably better. Furthermore, according to the results of unsupervised cluster analysis, we found that the better the prognosis, the higher the patient’s ESTIMATE score and the higher the infiltration of immune cells.ConclusionsWe used bioinformatics to construct a gene signature to predict the prognosis of patients with EC. The gene signature was combined with tumor microenvironment (TME) and AS events, which allowed a deeper understanding of the immune status of EC patients, and also provided new insights for clinical patients with EC.

scholarly journals Comprehensive Analysis of Prognostic Alternative Splicing Signatures in Endometrial Cancer

2020 ◽  
Vol 11 ◽  
Author(s):  
Peigen Chen ◽  
Junxian He ◽  
Huixia Ye ◽  
Senwei Jiang ◽  
Yunhui Li ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Alternative Splicing ◽  
Comprehensive Analysis

scholarly journals miR‐335 modulates Numb alternative splicing via targeting RBM10 in endometrial cancer

2020 ◽  
Vol 36 (3) ◽  
pp. 171-177 ◽  
Author(s):  
Xiao‐Qing Dou ◽  
Xiu‐Juan Chen ◽  
Qun Zhou ◽  
Ming‐Xiao Wen ◽  
Shu‐Zhen Zhang ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Alternative Splicing

scholarly journals Whole Genome Analysis and Prognostic Model Construction Based on Alternative Splicing Events in Endometrial Cancer

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Caixia Wang ◽  
Mingjun Zheng ◽  
Shuang Wang ◽  
Xin Nie ◽  
Qian Guo ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Alternative Splicing ◽  
Risk Score ◽  
Genome Analysis ◽  
Prognostic Model ◽  
Cox Regression ◽  
Splicing Factors ◽  
Whole Genome ◽  
Whole Genome Analysis ◽  
Alternative Splicing Events

Objectives. A growing body of evidence has shown that aberrant alternative splicing (AS) is closely related to the occurrence and development of cancer. However, prior studies mainly have concentrated on a few genes that exhibit aberrant AS. This study aimed to determine AS events through whole genome analysis and construct a prognostic model of endometrial cancer (EC). Methods. We downloaded gene expression RNAseq data from UCSC Xena, and seven types of AS events from TCGA SpliceSeq. Univariate Cox regression was employed to analyze the prognostic-related alternative splicing events (PASEs) and splicing factors; multivariate Cox regression was conducted to analyze the effect of risk score (All) and clinicopathological parameters on EC prognosis. An underlying interaction network of PASEs of EC was constructed by Cytoscape Reactome FI, GO, and KEGG pathway enrichment was performed by DAVID. ROC curves and Kaplan-Meir analysis were used to assess the diagnostic value of prognostic model. The correlation between PASEs and splicing factors was analyzed by GraphPad Prism; then a network was constructed using Cytoscape. Results. In total, 28,281 AS events in EC were identified, which consisted of 1166 PASEs. RNPS1, NEK2, and CTNNB1 were the hub genes in the network of the top 600 PASEs. The area under the curve (AUC) of risk score (All) reached 0.819. Risk score (All) together with FIGO stage, cancer status, and primary therapy outcome success was risk factors of the prognosis of EC patients. Splicing factors YBX1, HNRNPDL, and HNRNPA1 were significantly related to the overall survival (OS). The splicing network indicated that the expression of splicing factors was significantly correlated with percent-splice-in (PSI) value of PASEs. Conclusion. We constructed a model for predicting the prognosis of EC patients based on PASEs using whole genome analysis of AS events and thereby provided a reliable theoretical basis for EC clinical prognosis evaluation.

scholarly journals Prognostic Potential of Alternative Splicing Markers in Endometrial Cancer

2019 ◽  
Vol 18 ◽  
pp. 1039-1048 ◽  
Author(s):  
Qian Wang ◽  
Teng Xu ◽  
Yu Tong ◽  
Jianbo Wu ◽  
Weijian Zhu ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Alternative Splicing

scholarly journals Alternative splicing of VEGFA is regulated by RBM10 in endometrial cancer

2019 ◽  
Vol 36 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Xiao‐Qing Dou ◽  
Xiu‐Juan Chen ◽  
Ming‐Xiao Wen ◽  
Shu‐Zhen Zhang ◽  
Qun Zhou ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Alternative Splicing

Linking transcription, RNA polymerase II elongation and alternative splicing

2020 ◽  
Vol 477 (16) ◽  
pp. 3091-3104 ◽  
Author(s):  
Luciana E. Giono ◽  
Alberto R. Kornblihtt
Keyword(s):  
Gene Expression ◽  
Alternative Splicing ◽  
Rna Polymerase Ii ◽  
Environmental Changes ◽  
Transcription Elongation ◽  
Single Gene ◽  
Regulation Of Gene Expression ◽  
Regulation Of Transcription ◽  
Stepping Stones ◽  
Eukaryotic Transcription

Gene expression is an intricately regulated process that is at the basis of cell differentiation, the maintenance of cell identity and the cellular responses to environmental changes. Alternative splicing, the process by which multiple functionally distinct transcripts are generated from a single gene, is one of the main mechanisms that contribute to expand the coding capacity of genomes and help explain the level of complexity achieved by higher organisms. Eukaryotic transcription is subject to multiple layers of regulation both intrinsic — such as promoter structure — and dynamic, allowing the cell to respond to internal and external signals. Similarly, alternative splicing choices are affected by all of these aspects, mainly through the regulation of transcription elongation, making it a regulatory knob on a par with the regulation of gene expression levels. This review aims to recapitulate some of the history and stepping-stones that led to the paradigms held today about transcription and splicing regulation, with major focus on transcription elongation and its effect on alternative splicing.

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