scholarly journals Alternative splicing and cancer: a systematic review

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Yuanjiao Zhang ◽  
Jinjun Qian ◽  
Chunyan Gu ◽  
Ye Yang
Keyword(s):  
Systematic Review ◽  
Alternative Splicing ◽  
Regulatory Proteins ◽  
Regulatory Mechanisms ◽  
Circular Rnas ◽  
Splicing Factors ◽  
Therapeutic Approaches ◽  
Invasion And Metastasis ◽  
Proliferation And Apoptosis ◽  
Splicing Isoforms

AbstractThe abnormal regulation of alternative splicing is usually accompanied by the occurrence and development of tumors, which would produce multiple different isoforms and diversify protein expression. The aim of the present study was to conduct a systematic review in order to describe the regulatory mechanisms of alternative splicing, as well as its functions in tumor cells, from proliferation and apoptosis to invasion and metastasis, and from angiogenesis to metabolism. The abnormal splicing events contributed to tumor progression as oncogenic drivers and/or bystander factors. The alterations in splicing factors detected in tumors and other mis-splicing events (i.e., long non-coding and circular RNAs) in tumorigenesis were also included. The findings of recent therapeutic approaches targeting splicing catalysis and splicing regulatory proteins to modulate pathogenically spliced events (including tumor-specific neo-antigens for cancer immunotherapy) were introduced. The emerging RNA-based strategies for the treatment of cancer with abnormally alternative splicing isoforms were also discussed. However, further studies are still required to address the association between alternative splicing and cancer in more detail.

scholarly journals Pan-Cancer Analysis Reveals Alternative Splicing Characteristics Associated With Immune-Related Adverse Events Elicited by Checkpoint Immunotherapy

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiujing He ◽  
Jing Yu ◽  
Hubing Shi
Keyword(s):  
Alternative Splicing ◽  
Adverse Events ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarkers ◽  
Splicing Factors ◽  
Close Link ◽  
Cancer Types ◽  
Splicing Isoforms ◽  
L1 Protein ◽  
Pan Cancer

Immune-related adverse events (irAEs) can impair the effectiveness and safety of immune checkpoint inhibitors (ICIs) and restrict the clinical applications of ICIs in oncology. The predictive biomarkers of irAE are urgently required for early diagnosis and subsequent management. The exact mechanism underlying irAEs remains to be fully elucidated, and the availability of predictive biomarkers is limited. Herein, we performed data mining by combining pharmacovigilance data and pan-cancer transcriptomic information to illustrate the relationships between alternative splicing characteristics and irAE risk of ICIs. Four distinct classes of splicing characteristics considered were associated with splicing factors, neoantigens, splicing isoforms, and splicing levels. Correlation analysis confirmed that expression levels of splicing factors were predictive of irAE risk. Adding DHX16 expression to the bivariate PD-L1 protein expression-fPD1 model markedly enhanced the prediction for irAE. Furthermore, we identified 668 and 1,131 potential predictors based on the correlation of the incidence of irAEs with splicing frequency and isoform expression, respectively. The functional analysis revealed that alternative splicing might contribute to irAE pathogenesis via coordinating innate and adaptive immunity. Remarkably, autoimmune-related genes and autoantigens were preferentially over-represented in these predictors for irAE, suggesting a close link between autoimmunity and irAE occurrence. In addition, we established a trivariate model composed of CDC42EP3-206, TMEM138-211, and IRX3-202, that could better predict the risk of irAE across various cancer types, indicating a potential application as promising biomarkers for irAE. Our study not only highlights the clinical relevance of alternative splicing for irAE development during checkpoint immunotherapy but also sheds new light on the mechanisms underlying irAEs.

Alternative splicing and its regulatory role in woody plants

2020 ◽  
Vol 40 (11) ◽  
pp. 1475-1486
Author(s):  
Mo-Xian Chen ◽  
Kai-Lu Zhang ◽  
Min Zhang ◽  
Debatosh Das ◽  
Yan-Ming Fang ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Woody Plants ◽  
Functional Characterization ◽  
Wood Formation ◽  
Splicing Factors ◽  
Genetic Studies ◽  
Splicing Isoforms ◽  
Eukaryotic Organisms ◽  
Transcriptional Process

Abstract Alternative splicing (AS) is an important post-transcriptional process to enhance proteome diversity in eukaryotic organisms. In plants, numerous reports have primarily focused on AS analysis in model plant species or herbaceous plants, leading to a notable lack of research on AS in woody plants. More importantly, emerging evidence indicates that many important traits, including wood formation and stress resistance, in woody plants are controlled by AS. In this review article, we summarize the current progress of all kinds of AS studies in different tree species at various stages of development and in response to various stresses, revealing the significant role played by AS in woody plants, as well as the similar properties and differential regulation within their herbaceous counterparts. Furthermore, we propose several potential strategies to facilitate the functional characterization of splicing factors in woody plants and evaluate a general pipeline for the systematic characterization of splicing isoforms in a complex AS regulatory network. The utilization of genetic studies and high-throughput omics integration approaches to analyze AS genes and splicing factors is likely to further advance our understanding of AS modulation in woody plants.

scholarly journals Systematic Transcriptome Analysis of Synovial Sarcoma Reveals Novel Transcriptional And Post-Transcriptional Abnormalities

2021 ◽  
Author(s):  
Zhengwang Sun ◽  
Qiyue Xu ◽  
Quan Huang ◽  
Mengchen Yin ◽  
Hongqiang Zhang ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Synovial Sarcoma ◽  
Circular Rnas ◽  
Splicing Factors ◽  
Biological Processes ◽  
Gene Fusions ◽  
Muscle System ◽  
Transcriptomic Profile ◽  
Aggressive Cancer ◽  
Upregulated Genes

Abstract Background: Synovial sarcoma (SS) is a rare and aggressive cancer that can come from distinct soft tissue types including muscle and ligaments. The SS transcriptome is crucial for understanding the SS biology; however, the transcriptomic landscape of SS is still poorly understood. Methods: We performed deep total RNA sequencing on ten paired SS and tumor-adjacent tissues to systematically dissect the transcriptomic profile of SS in terms of gene expression, alternative splicing, gene fusion, and circular RNAs.Results: A total of 2,309 upregulated and downregulated genes were identified between SS and tumor-adjacent tissues. Those upregulated genes could lead to the upregulation of the cell cycle, ribosome, and DNA replication pathways, while the downregulated genes may result in the downregulation of a set of metabolic biological processes and signaling pathways. Moreover, 2,511 genes (including 21 splicing factors) were differentially alternative spliced, indicating that the deregulation of alternative splicing could be one important factor that contributes to the tumorigenesis. Additionally, we identified the known gene fusions of SS18-SSX1/SSX2 as well as 11 potentially novel gene fusions. Interestingly, 49 circular RNAs were differentially expressed and their parental genes could function in muscle contraction and muscle system processes. Conclusions: Collectively, our comprehensive dissection of the transcriptomic profile of SS from both transcriptional and post-transcriptional levels provides novel insights into the biology and underlying molecular mechanism of SS.

scholarly journals Natural Antisense Transcript PEBP1P3 Regulates the RNA Expression, DNA Methylation and Histone Modification of CD45 Gene

Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 759
Author(s):  
Zhongjing Su ◽  
Guangyu Liu ◽  
Bin Zhang ◽  
Ze Lin ◽  
Dongyang Huang
Keyword(s):  
Dna Methylation ◽  
Alternative Splicing ◽  
Histone Modification ◽  
Antisense Rna ◽  
Noncoding Rna ◽  
Antisense Transcript ◽  
Natural Antisense Transcript ◽  
Regulation Of Expression ◽  
Splicing Isoforms ◽  
Intron 2

The leukocyte common antigen CD45 is a transmembrane phosphatase expressed on all nucleated hemopoietic cells, and the expression levels of its splicing isoforms are closely related to the development and function of lymphocytes. PEBP1P3 is a natural antisense transcript from the opposite strand of CD45 intron 2 and is predicted to be a noncoding RNA. The genotype-tissue expression and quantitative PCR data suggested that PEBP1P3 might be involved in the regulation of expression of CD45 splicing isoforms. To explore the regulatory mechanism of PEBP1P3 in CD45 expression, DNA methylation and histone modification were detected by bisulfate sequencing PCR and chromatin immunoprecipitation assays, respectively. The results showed that after the antisense RNA PEBP1P3 was knocked down by RNA interference, the DNA methylation of CD45 intron 2 was decreased and histone H3K9 and H3K36 trimethylation at the alternative splicing exons of CD45 DNA was increased. Knockdown of PEBP1P3 also increased the binding levels of chromatin conformation organizer CTCF at intron 2 and the alternative splicing exons of CD45. The present results indicate that the natural antisense RNA PEBP1P3 regulated the alternative splicing of CD45 RNA, and that might be correlated with the regulation of histone modification and DNA methylation.

scholarly journals The circular RNA circSlc7a11 promotes bone cancer pain pathogenesis in rats by modulating LLC-WRC 256 cell proliferation and apoptosis

2021 ◽  
Author(s):  
Han-Wen Chen ◽  
Xiao-Xia Zhang ◽  
Zhu-Ding Peng ◽  
Zu-Min Xing ◽  
Yi-Wen Zhang ◽  
...  
Keyword(s):  
Cell Proliferation ◽  
Cancer Pain ◽  
Expression Profiles ◽  
Bone Cancer ◽  
Circular Rna ◽  
Differentially Expressed ◽  
Bone Cancer Pain ◽  
Circular Rnas ◽  
Altered Expression ◽  
Proliferation And Apoptosis

AbstractTreatment of bone cancer pain (BCP) caused by bone metastasis in advanced cancers remains a challenge in clinical oncology, and the underlying mechanisms of BCP are poorly understood. This study aimed to investigate the pathogenic roles of circular RNAs (circRNAs) in regulating cancer cell proliferation and BCP development. Eight differentially expressed circRNAs in the rat spinal cord were validated by agarose gel electrophoresis and Sanger sequencing. Expression of circRNAs and mRNAs was detected by quantitative RT-PCR. MTS assay and flow cytometry were performed to analyze cell proliferation and apoptosis, respectively. Differentially expressed mRNA profiles were characterized by deep RNA sequencing, hierarchical clustering, and functional categorization. The interactions among circRNAs, microRNAs (miRNAs), and mRNAs were predicted using TargetScan. Additionally, western blot was performed to determine the protein levels of Pax8, Isg15, and Cxcl10. Multiple circRNAs were differentially expressed in the spinal cords of BCP model rats; of these, circSlc7a11 showed the greatest increase in expression. The overexpression of circSlc7a11 significantly promoted cell proliferation and repressed apoptosis of LLC-WRC 256 and UMR-106 cells, whereas circSlc7a11 silencing produced the opposite effects. Altered expression of circSlc7a11 also induced substantial changes in the mRNA expression profiles of LLC-WRC 256 cells; these changes were linked to multiple apoptotic processes and signaling pathways, such as the chemokine signaling pathway, and formed a complex circRNA/miRNA/mRNA network. Additionally, Pax8, Isg15, and Cxc110 protein level in LLC-WRC 256 cells was consistent with the mRNA results. The circRNA circSlc7a11 regulates rat BCP development by modulating LLC-WRC 256 cell proliferation and apoptosis through multiple-signaling mechanisms.

scholarly journals Circular RNAs: Potential Applications as Therapeutic Targets and Biomarkers in Breast Cancer

2021 ◽  
Vol 7 (1) ◽  
pp. 2
Author(s):  
Debina Sarkar ◽  
Sarah D. Diermeier
Keyword(s):  
Breast Cancer ◽  
Translational Regulation ◽  
Closed Loop ◽  
Mechanisms Of Action ◽  
Circular Rnas ◽  
Therapeutic Approaches ◽  
Mirna Sponge ◽  
Bodily Fluids ◽  
Potential Applications ◽  
Non Coding Rnas

Circular RNAs (circRNAs) are a class of non-coding RNAs that form a covalently closed loop. A number of functions and mechanisms of action for circRNAs have been reported, including as miRNA sponge, exerting transcriptional and translational regulation, interacting with proteins, and coding for peptides. CircRNA dysregulation has also been implicated in many cancers, such as breast cancer. Their relatively high stability and presence in bodily fluids makes cancer-associated circRNAs promising candidates as a new biomarker. In this review, we summarize the research undertaken on circRNAs associated with breast cancer, discuss circRNAs as biomarkers, and present circRNA-based therapeutic approaches.

scholarly journals The alternative splicing of the CD45 tyrosine phosphatase is controlled by negative regulatory trans-acting splicing factors.

1992 ◽  
Vol 267 (10) ◽  
pp. 7139-7147
Author(s):  
D.M. Rothstein ◽  
H Saito ◽  
M Streuli ◽  
S.F. Schlossman ◽  
C Morimoto
Keyword(s):  
Alternative Splicing ◽  
Tyrosine Phosphatase ◽  
Splicing Factors

scholarly journals Alternative splicing acts as an independent prognosticator in ovarian carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yan Ouyang ◽  
Kaide Xia ◽  
Xue Yang ◽  
Shichao Zhang ◽  
Li Wang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Alternative Splicing ◽  
Ovarian Carcinoma ◽  
Cancer Patients ◽  
Cox Regression ◽  
Excision Repair ◽  
Splicing Factors ◽  
Prognostic Signature ◽  
Cox Regression Analysis

AbstractAlternative splicing (AS) events associated with oncogenic processes present anomalous perturbations in many cancers, including ovarian carcinoma. There are no reliable features to predict survival outcomes for ovarian cancer patients. In this study, comprehensive profiling of AS events was conducted by integrating AS data and clinical information of ovarian serous cystadenocarcinoma (OV). Survival-related AS events were identified by Univariate Cox regression analysis. Then, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were used to construct the prognostic signatures within each AS type. Furthermore, we established a splicing-related network to reveal the potential regulatory mechanisms between splicing factors and candidate AS events. A total of 730 AS events were identified as survival-associated splicing events, and the final prognostic signature based on all seven types of AS events could serve as an independent prognostic indicator and had powerful efficiency in distinguishing patient outcomes. In addition, survival-related AS events might be involved in tumor-related pathways including base excision repair and pyrimidine metabolism pathways, and some splicing factors might be correlated with prognosis-related AS events, including SPEN, SF3B5, RNPC3, LUC7L3, SRSF11 and PRPF38B. Our study constructs an independent prognostic signature for predicting ovarian cancer patients’ survival outcome and contributes to elucidating the underlying mechanism of AS in tumor development.

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