scholarly journals Genome-Wide Transcriptional Analysis Reveals Alternative Splicing Event Profiles in Hepatocellular Carcinoma and Their Prognostic Significance

2020 ◽  
Vol 11 ◽  
Author(s):  
Yongfu Xiong ◽  
Gang Yang ◽  
Kang Wang ◽  
Muhammad Riaz ◽  
Jian Xu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Alternative Splicing ◽  
Prognostic Significance ◽  
Transcriptional Analysis ◽  
Genome Wide

scholarly journals Genome-Wide Profiling and Clinical Significance of Alternative Splicing Events in Glioblastoma

2020 ◽  
Author(s):  
Xiufang Ren ◽  
Tianqi Liu ◽  
Xin Chen ◽  
Gefei Guan ◽  
Cunyi Zou ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Clinical Significance ◽  
Immune Cell ◽  
Sequence Data ◽  
Prognostic Significance ◽  
Interaction Network ◽  
Clinical Information ◽  
The Cancer Genome Atlas ◽  
Genome Wide ◽  
Alternative Splicing Events

Abstract Aims: The purpose of this study was to depict alternative splicing (AS) profiles in GBM and identify their clinical significance in the progression of GBM. Materials and Methods: RNA sequence data and clinical information were downloaded from The Cancer Genome Atlas portal (https://portal.gdc.cancer.gov/projects). Genome-wide alternative splicing events were obtained using SpliceSeq tool. Analyses were performed using GraphPad Prism 7 and R software. Key findings: Univariate Cox analysis identified 2406 AS events with prognostic significance. We built an interaction network based on these survival-related AS events. Unsupervised clustering analysis showed that patients in cluster 2 had a better prognosis than those in other clusters. The prognostic splicing factors and AS events were used to generate a splicing network. Seven prognostic signatures, developed based on the top three survival-related AS events, predicted the survival risk and may serve as independent indicators of unfavorable prognosis. Among these risk signatures, only the alternate promoter (AP) signature was upregulated in the mesenchymal subtype, which is characterized by a complex immune microenvironment. A high AP risk score indicated an overloaded local immune response and enriched immune cell infiltration, which may accelerate the progression of GBM.Significance: AS-related signatures may serve as predictors of prognosis as well as provide treatment targets and guidance for GBM patients.

scholarly journals Comprehensive network analysis reveals alternative splicing-related lncRNAs in hepatocellular carcinoma

2019 ◽  
Author(s):  
Junqing Wang ◽  
Yixin Chen ◽  
Keli Xu ◽  
Yin-yuan Mo ◽  
Yunyun Zhou
Keyword(s):  
Hepatocellular Carcinoma ◽  
Alternative Splicing ◽  
Rna Splicing ◽  
Normal Liver ◽  
Splicing Factors ◽  
Primary Concern ◽  
Rna Seq ◽  
Genome Wide ◽  
Tumorigenesis And Progression ◽  
Extensive Collection

AbstractA number of recent studies have highlighted the findings that certain lncRNAs are associated with alternative splicing (AS) in tumorigenesis and progression. Although existing work showed the importance of linking certain misregulations of RNA splicing with lncRNAs, a primary concern is the lack of genome-wide comprehensive analysis for their associations.We analyzed an extensive collection of RNA-seq data, quantified 198,619 isoform expressions, and found systematic isoform usage changes between hepatocellular carcinoma (HCC) and normal liver tissue. We identified a total of 1375 splicing switched isoforms and further analyzed their biological functions.To predict which lncRNAs are associated with these AS genes, we integrated the co-expression networks and epigenetic interaction networks collected from text mining and database searching, linking lncRNA modulators such as splicing factors, transcript factors, and miRNAs with their targeted AS genes in HCC. To model the heterogeneous networks in a single framework, we developed a multi-graphic random walk (RWMG) network method to prioritize the lncRNAs associated with AS in HCC. RWMG showed a good performace evaluated by ROC curve based on cross-validation and bootstrapping strategy.As a summary, we identified 31 AS-related lncRNAs including MALAT1 and HOXA11-AS, which have been reported before, as well as some novel lncRNAs such as DNM1P35, HAND2-AS1, and DLX6-AS1. Survival analysis further confirmed the clinical significance of identified lncRNAs.

scholarly journals Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Shanshan Yu ◽  
Luya Cai ◽  
Chuan Liu ◽  
Ruihong Gu ◽  
Lingyi Cai ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Alternative Splicing ◽  
Cox Regression ◽  
Malignant Tumors ◽  
Prognostic Significance ◽  
Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Functional Enrichment ◽  
Immune Microenvironment ◽  
The Impact

Abstract Background Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world, and its 5-year survival rate is less than 20%, despite various treatments being available. Increasing evidence indicates that alternative splicing (AS) plays a nonnegligible role in the formation and development of the tumor microenvironment (TME). However, the comprehensive analysis of the impact on prognostic AS events on immune-related perspectives in HCC is lacking but urgently needed. Methods The transcriptional data and clinical information of HCC patients were downloaded from TCGA (The Cancer Genome Atlas) database for calculating immune and stromal scores by ESTIMATE algorithm. We then divided patients into high/low score groups and explored their prognostic significance using Kaplan–Meier curves. Based on stromal and immune scores, differentially expressed AS events (DEASs) were screened and evaluated with functional enrichment analysis. Additionally, a risk score model was established by applying univariate and multivariate Cox regression analyses. Finally, gene set variation analysis (GSVA) was adopted to explore differences in biological behaviors between the high- and low-risk subgroups. Results A total of 370 HCC patients with complete and qualified corresponding data were included in the subsequent analysis. According to the results of ESTIMATE analysis, we observed that the high immune/stromal score group had a longer survival probability, which was significantly correlated with prognosis in HCC patients. In addition, 467 stromal/immune score-related DEASs were identified, and enrichment analysis revealed that DEASs were significantly enriched in pathways related to HCC tumorigenesis and the immune microenvironment. More importantly, the final prognostic signature containing 16 DEASs showed powerful predictive ability. Finally, GSVA demonstrated that activation of carcinogenic pathways and immune-related pathways in the high-risk group may lead to poor prognosis. Conclusions Collectively, these outcomes revealed prognostic AS events related to carcinogenesis and the immune microenvironment, which may yield new directions for HCC immunotherapy.

scholarly journals PPM1G promotes the progression of hepatocellular carcinoma via phosphorylation regulation of alternative splicing protein SRSF3

2021 ◽  
Vol 12 (8) ◽  
Author(s):  
Dawei Chen ◽  
Zhenguo Zhao ◽  
Lu Chen ◽  
Qinghua Li ◽  
Jixue Zou ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Alternative Splicing ◽  
Protein Function ◽  
Vital Role ◽  
Normal Tissues ◽  
Mechanistic Analysis ◽  
Highly Correlated ◽  
Splicing Patterns

AbstractEmerging evidence has demonstrated that alternative splicing has a vital role in regulating protein function, but how alternative splicing factors can be regulated remains unclear. We showed that the PPM1G, a protein phosphatase, regulated the phosphorylation of SRSF3 in hepatocellular carcinoma (HCC) and contributed to the proliferation, invasion, and metastasis of HCC. PPM1G was highly expressed in HCC tissues compared to adjacent normal tissues, and higher levels of PPM1G were observed in adverse staged HCCs. The higher levels of PPM1G were highly correlated with poor prognosis, which was further validated in the TCGA cohort. The knockdown of PPM1G inhibited the cell growth and invasion of HCC cell lines. Further studies showed that the knockdown of PPM1G inhibited tumor growth in vivo. The mechanistic analysis showed that the PPM1G interacted with proteins related to alternative splicing, including SRSF3. Overexpression of PPM1G promoted the dephosphorylation of SRSF3 and changed the alternative splicing patterns of genes related to the cell cycle, the transcriptional regulation in HCC cells. In addition, we also demonstrated that the promoter of PPM1G was activated by multiple transcription factors and co-activators, including MYC/MAX and EP300, MED1, and ELF1. Our study highlighted the essential role of PPM1G in HCC and shed new light on unveiling the regulation of alternative splicing in malignant transformation.

scholarly journals Transcript levels of spindle and kinetochore-associated complex 1/3 as prognostic biomarkers correlated with immune infiltrates in hepatocellular carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
De-Chen Yu ◽  
Xiang-Yi Chen ◽  
Xin Li ◽  
Hai-Yu Zhou ◽  
De-Quan Yu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Protein Complex ◽  
Immune Cell ◽  
Prognostic Significance ◽  
Tumor Development ◽  
Disease Free Survival ◽  
Tumor Grade ◽  
Tumor Stage ◽  
Prognostic Biomarkers ◽  
High Expression

AbstractThe spindle and kinetochore-associated protein complex (Ska) is an essential component in chromosome segregation. It comprises three proteins (Ska1, Ska2, and Ska3) with theorized roles in chromosomal instability and tumor development, and its overexpression has been widely reported in a variety of tumors. However, the prognostic significance and immune infiltration of Ska proteins in hepatocellular carcinoma (HCC) are not completely understood. The bioinformatics tools Oncomine, UALCAN, gene expression profiling interactive analysis 2 (GEPIA2), cBioPortal, GeneMANIA, Metascape, and TIMER were used to analyze differential expression, prognostic value, genetic alteration, and immune cell infiltration of the Ska protein complex in HCC patients. We found that the mRNA expression of the Ska complex was markedly upregulated in HCC. High expression of the Ska complex is closely correlated with tumor stage, patient race, tumor grade, and TP53 mutation status. In addition, high expression of the Ska complex was significantly correlated with poor disease-free survival, while the high expression levels of Ska1 and Ska3 were associated with shorter overall survival. The biological functions of the Ska complex in HCC primarily involve the amplification of signals from kinetochores, the mitotic spindle, and (via a MAD2 invasive signal) unattached kinetochores. Furthermore, the expression of the complex was positively correlated with tumor-infiltrating cells. These results may provide new insights into the development of immunotherapeutic targets and prognostic biomarkers for HCC.

Sign in / Sign up

Export Citation Format

Share Document