scholarly journals The co-expression networks of differentially expressed RBPs with TFs and LncRNAs related to clinical TNM stages of cancers

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7696 ◽  
Author(s):  
Shuaibin Lian ◽  
Liansheng Li ◽  
Yongjie Zhou ◽  
Zixiao Liu ◽  
Lei Wang
Keyword(s):  
Cluster Analysis ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Differentially Expressed ◽  
Normal Tissues ◽  
Correlation Networks ◽  
Expression Cluster ◽  
Cancer Types ◽  
Almost All ◽  
Insight Into

Background RNA-binding proteins (RBPs) play important roles in cellular homeostasis by regulating the expression of thousands of transcripts, which have been reported to be involved in human tumorigenesis. Despite previous reports of the dysregulation of RBPs in cancers, the degree of dysregulation of RBPs in cancers and the intrinsic relevance between dysregulated RBPs and clinical TNM information remains unknown. Furthermore, the co-expressed networks of dysregulated RBPs with transcriptional factors and lncRNAs also require further investigation. Results Here, we firstly analyzed the deviations of expression levels of 1,542 RBPs from 20 cancer types and found that (1) RBPs are dysregulated in almost all 20 cancer types, especially in BLCA, COAD, READ, STAD, LUAD, LUSC and GBM with proportion of deviation larger than 300% compared with non-RBPs in normal tissues. (2) Up- and down-regulated RBPs also show opposed patterns of differential expression in cancers and normal tissues. In addition, down-regulated RBPs show a greater degree of dysregulated expression than up-regulated RBPs do. Secondly, we analyzed the intrinsic relevance between dysregulated RBPs and clinical TNM information and found that (3) Clinical TNM information for two cancer types—CHOL and KICH—is shown to be closely related to patterns of differentially expressed RBPs (DE RBPs) by co-expression cluster analysis. Thirdly, we identified ten key RBPs (seven down-regulated and three up-regulated) in CHOL and seven key RBPs (five down-regulated and two up-regulated) in KICH by analyzing co-expression correlation networks. Fourthly, we constructed the co-expression networks of key RBPs between 1,570 TFs and 4,147 lncRNAs for CHOL and KICH, respectively. Conclusions These results may provide an insight into the understanding of the functions of RBPs in human carcinogenesis. Furthermore, key RBPs and the co-expressed networks offer useful information for potential prognostic biomarkers and therapeutic targets for patients with cancers at the N and M stages in two cancer types CHOL and KICH.

scholarly journals Circular RNAs: new genetic tools in melanoma

2020 ◽  
Vol 14 (7) ◽  
pp. 563-571 ◽  
Author(s):  
Jamal Hallajzadeh ◽  
Elaheh Amirani ◽  
Hamed Mirzaei ◽  
Rana Shafabakhsh ◽  
Seyyed M Mirhashemi ◽  
...  
Keyword(s):  
Noncoding Rna ◽  
Rna Binding ◽  
New Technologies ◽  
Rna Binding Proteins ◽  
Circular Rnas ◽  
Cancer Types ◽  
Microrna Sponge ◽  
The Impact ◽  
Insight Into

Melanoma is the most lethal form of skin cancer. New technologies have resulted in major advances in the diagnosis and treatment of melanoma and other cancer types. Recently, some studies have investigated the role of circular RNAs (circRNAs) in different cancers. CircRNAs are a member of long noncoding RNA family mainly formed through back-splicing and have a closed-loop structure. These molecules affect several biological and oncogenic cascades in diverse ways via acting as microRNA sponge, interacting with RNA-binding proteins and acting as a transcription regulator. In this review, we made an insight into the impact of circRNA dysregulation in the melanoma tumorigenesis based on the presented evidences.

scholarly journals Identification of Novel RNA Binding Proteins Influencing Circular RNA Expression in Hepatocellular Carcinoma

2021 ◽  
Vol 22 (14) ◽  
pp. 7477
Author(s):  
Rok Razpotnik ◽  
Petra Nassib ◽  
Tanja Kunej ◽  
Damjana Rozman ◽  
Tadeja Režen
Keyword(s):  
Hepatocellular Carcinoma ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Regulatory Protein ◽  
Circular Rna ◽  
Differentially Expressed ◽  
Circular Rnas ◽  
Bioinformatics Analyses ◽  
Published Evidence

Circular RNAs (circRNAs) are increasingly recognized as having a role in cancer development. Their expression is modified in numerous cancers, including hepatocellular carcinoma (HCC); however, little is known about the mechanisms of their regulation. The aim of this study was to identify regulators of circRNAome expression in HCC. Using publicly available datasets, we identified RNA binding proteins (RBPs) with enriched motifs around the splice sites of differentially expressed circRNAs in HCC. We confirmed the binding of some of the candidate RBPs using ChIP-seq and eCLIP datasets in the ENCODE database. Several of the identified RBPs were found to be differentially expressed in HCC and/or correlated with the overall survival of HCC patients. According to our bioinformatics analyses and published evidence, we propose that NONO, PCPB2, PCPB1, ESRP2, and HNRNPK are candidate regulators of circRNA expression in HCC. We confirmed that the knocking down the epithelial splicing regulatory protein 2 (ESRP2), known to be involved in the maintenance of the adult liver phenotype, significantly changed the expression of candidate circRNAs in a model HCC cell line. By understanding the systemic changes in transcriptome splicing, we can identify new proteins involved in the molecular pathways leading to HCC development and progression.

scholarly journals RNA-binding protein SORBS2 suppresses clear cell renal cell carcinoma metastasis by enhancing MTUS1 mRNA stability

2020 ◽  
Vol 11 (12) ◽  
Author(s):  
Qi Lv ◽  
Fan Dong ◽  
Yong Zhou ◽  
Zhiping Cai ◽  
Gangmin Wang
Keyword(s):  
Tumor Suppressor ◽  
Mrna Stability ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Cell Renal Cell Carcinoma ◽  
Renal Cell Carcinoma Metastasis ◽  
Metastatic Capacity ◽  
Cancer Types ◽  
Carcinoma Metastasis ◽  
Ccrcc Cell

AbstractRNA-binding proteins (RBPs) predominantly contribute to abnormal posttranscriptional gene modulation and disease progression in cancer. Sorbin and SH3 domain-containing 2 (SORBS2), an RBP, has been reported to be a potent tumor suppressor in several cancer types. Through integrative analysis of clinical specimens, we disclosed that the expression level of SORBS2 was saliently decreased in metastatic tissues and positively correlated with overall survival. We observed that overexpression of SORBS2 brought about decreased metastatic capacity in ccRCC cell lines. Transcriptome-wide analysis revealed that SORBS2 notably increased microtubule-associated tumor-suppressor 1 gene (MTUS1) expression. In-depth mechanistic exploring discovered that the Cys2-His2 zinc finger (C2H2-ZnF) domain of SORBS2 directly bound to the 3′ untranslated region (3′UTR) of MTUS1 mRNA, which increased MTUS1 mRNA stability. In addition, we identified that MTUS1 regulated microtubule dynamics via promoting KIF2CS192 phosphorylation by Aurora B. Together, our research identified SORBS2 as a suppressor of ccRCC metastasis by enhancing MTUS1 mRNA stability, providing a novel understanding of RBPs during ccRCC progression.

scholarly journals RNA editing in cancer impacts mRNA abundance in immune response pathways

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Tracey W. Chan ◽  
Ting Fu ◽  
Jae Hoon Bahn ◽  
Hyun-Ik Jun ◽  
Jae-Hyung Lee ◽  
...  
Keyword(s):  
Immune Response ◽  
Rna Editing ◽  
Rna Binding ◽  
Epithelial Mesenchymal Transition ◽  
Rna Binding Proteins ◽  
Mrna Abundance ◽  
Mesenchymal Tumors ◽  
Mesenchymal Transition ◽  
Cancer Types ◽  
Experimental Validations

Abstract Background RNA editing generates modifications to the RNA sequences, thereby increasing protein diversity and shaping various layers of gene regulation. Recent studies have revealed global shifts in editing levels across many cancer types, as well as a few specific mechanisms implicating individual sites in tumorigenesis or metastasis. However, most tumor-associated sites, predominantly in noncoding regions, have unknown functional relevance. Results Here, we carry out integrative analysis of RNA editing profiles between epithelial and mesenchymal tumors, since epithelial-mesenchymal transition is a key paradigm for metastasis. We identify distinct editing patterns between epithelial and mesenchymal tumors in seven cancer types using TCGA data, an observation further supported by single-cell RNA sequencing data and ADAR perturbation experiments in cell culture. Through computational analyses and experimental validations, we show that differential editing sites between epithelial and mesenchymal phenotypes function by regulating mRNA abundance of their respective genes. Our analysis of RNA-binding proteins reveals ILF3 as a potential regulator of this process, supported by experimental validations. Consistent with the known roles of ILF3 in immune response, epithelial-mesenchymal differential editing sites are enriched in genes involved in immune and viral processes. The strongest target of editing-dependent ILF3 regulation is the transcript encoding PKR, a crucial player in immune and viral response. Conclusions Our study reports widespread differences in RNA editing between epithelial and mesenchymal tumors and a novel mechanism of editing-dependent regulation of mRNA abundance. It reveals the broad impact of RNA editing in cancer and its relevance to cancer-related immune pathways.

scholarly journals A comprehensive expression landscape of RNA-binding proteins (RBPs) across 16 human cancer types

RNA Biology ◽  
2019 ◽  
Vol 17 (2) ◽  
pp. 211-226 ◽  
Author(s):  
Bin Zhang ◽  
Kamesh R. Babu ◽  
Chun You Lim ◽  
Zhi Hao Kwok ◽  
Jia Li ◽  
...  
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Human Cancer ◽  
Cancer Types

scholarly journals A Comprehensive Pan-Cancer Analysis of RBM8A Based on Data Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Nan Mei ◽  
Heyan Chen ◽  
Ni Zhao ◽  
Ye Yi ◽  
Chunli Li
Keyword(s):  
Rna Binding ◽  
Checkpoint Inhibitors ◽  
Study Data ◽  
Binding Motif ◽  
Exon Junction Complex ◽  
Tumor Type ◽  
Missense Mutations ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Cancer Types

Background. As a member of the exon junction complex (EJC), RNA-binding motif protein 8A (RBM8A) plays a crucial role in the maintenance of mRNA and multiple activities of an organism. Immunotherapy has been proven to be a staple type of cancer treatment. However, the role of RBM8A and immunity across cancer types is unclear. Objective. This study aims to visualize the expression, prognosis, mutations, and coexpressed gene results of RBM8A across cancer types and to explore the link between RBM8A expression and immunity. Methods. In this study, data were collected from multiple online databases. We analyzed the data using the HPA, UALCAN Database, COSMIC, cBioPortal, Cancer Regulome tools, Kaplan–Meier Plotter, and TIMER website. Results. For the expression of RBM8A in normal tissues, higher expression of RBM8A was observed in immune-related cells than in nonimmune organs. The expression level of RBM8A was related to tumor type. Missense mutations in RBM8A were found in most tumors and affected the prognosis of carcinomas with coexpressed genes. RBM8A was strongly associated with immune-infiltrating cells and immune checkpoint inhibitors, especially in LIHC. Conclusions. RBM8A is a gene worth exploring and may be a unique immune target in the future.

scholarly journals Pan-cancer analysis of RNA binding proteins (RBPs) reveals the involvement of the core pre-mRNA splicing and translation machinery in tumorigenesis

2018 ◽  
Author(s):  
Bin Zhang ◽  
Kamesh R. Babu ◽  
Chun You Lim ◽  
Zhi Hao Kwok ◽  
Jia Li ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Copy Number ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Human Cancer ◽  
Mrna Splicing ◽  
Regulatory Mechanisms ◽  
Translation Machinery ◽  
The Core ◽  
Cancer Types

AbstractRNA binding proteins (RBPs) are key regulators of posttranscriptional processes such as RNA maturation, transport, localization, turnover and translation. Despite their dysregulation in various diseases including cancer, the landscape of RBP expression and regulatory mechanisms in human cancer has not been well characterized. Here, we analyzed mRNA expression of 1487 RBPs in ~6700 clinical samples across 16 human cancer types and found that there were significantly more upregulated RBPs than downregulated ones in tumors when compared to their adjacent normal tissues. Across almost all of the 16 cancer types, 109 RBPs were consistently upregulated (cuRBPs) while only 41 RBPs were consistently downregulated (cdRBPs). Integrating expression with the copy number and DNA methylation data, we found that the overexpression of cuRBPs is largely associated with the amplification of copy number, whereas the downregulation of cdRBPs may be a result of epigenetic silencing mediated by DNA methylation. Furthermore, our results indicated that cuRBPs could work together to promote cancer progression potentially through the involvement of splicing and translation machinery, while cdRBPs might function independently to suppress tumorigenesis. Additionally, we focused on colon cancer and identified several novel potential oncogenic RBPs, such as PABPC1L which might promote cancer development via regulating the core splicing machinery. In summary, we showed distinct expression landscapes, regulatory mechanisms and characteristics of cuRBPs and cdRBPs and implicated several novel RBPs in cancer pathogenesis. Moreover, our results suggest that the involvement of the core pre-mRNA splicing and translation machinery could be critical in tumorigenesis.

scholarly journals Comprehensive Analysis of Co-Mutations Identifies Cooperating Mechanisms of Tumorigenesis

2021 ◽  
Author(s):  
Limin Jiang ◽  
Hui Yu ◽  
Scott Ness ◽  
Peng Mao ◽  
Fei Guo ◽  
...  
Keyword(s):  
Predictive Power ◽  
Drug Sensitivity ◽  
Somatic Mutations ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
P Value ◽  
Micro Rnas ◽  
Cancer Types ◽  
Potential Impact ◽  
Functional Analyses

AbstractSomatic mutations are one of the most important factors in tumorigenesis and are the focus of most cancer sequencing efforts. The co-occurrence of multiple mutations in one tumor has gained increasing attention as a means of identifying cooperating mutations or pathways that contribute to cancer.Using multi-omics, phenotypical, and clinical data from 29,559 cancer subjects and 1,747 cancer cell lines covering 78 distinct cancer types, we show that co-mutations are associated with prognosis, drug sensitivity, and disparities in sex, age, and race. Some co-mutation combinations displayed stronger effects than their corresponding single mutations. For example, co-mutation TP53:KRAS in pancreatic adenocarcinoma is significantly associated with disease specific survival (hazard ratio = 2.87, adjusted p-value = 0.0003) and its prognostic predictive power is greater than either TP53 or KRAS as individually mutated genes. Functional analyses revealed that co-mutations with higher prognostic values have higher potential impact and cause greater dysregulation of gene expression. Furthermore, many of the prognostically significant co-mutations caused gains or losses of binding sequences of RNA binding proteins or micro RNAs with known cancer associations. Thus, detailed analyses of co-mutations can identify mechanisms that cooperate in tumorigenesis.

scholarly journals Integrated analysis of the functions and prognostic values of RNA binding proteins in colon adenocarcinoma

2020 ◽  
Author(s):  
Xinhong Liu ◽  
Fang Tan ◽  
Xingyao Long ◽  
Ruokun Yi ◽  
Dingyi Yang ◽  
...  
Keyword(s):  
Prognostic Model ◽  
Binding Proteins ◽  
Rna Binding ◽  
Prediction Models ◽  
Cox Regression ◽  
Rna Binding Proteins ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Cox Regression Analysis

Abstract Background RNA binding proteins (RBPs) play an important role in a variety of cancers. However, the role of RBPs in colorectal adenocarcinoma (COAD) has not been studied. Integrated analysis of RBPs will provide a better understanding of disease genesis and new insights into COAD treatment. Methods The gene expression data and corresponding clinical information for COAD were downloaded from The Cancer Genome Atlas (TCGA) database. Univariate Cox regression analysis was used to screen for RBPs associated with COAD recurrence, and multivariate Cox proportional hazards regression analyses were used to identify genes that were associated with COAD recurrence. A nomogram was constructed to predict the recurrence of COAD, and a receiver operating characteristic (ROC) curve analysis was performed to determine the accuracy of the prediction models. The Human Protein Atlas database was used in prediction models to confirm the expression of key genes in COAD patients. Result A total of 177 differentially expressed RBPs was obtained, comprising 123 upregulated and 54 downregulated. GO and KEGG enrichment analysis showed that the differentially expressed RBPs were mainly related to mRNA metabolism, RNA processing and translation regulation. Seven RBP genes (TDRD6, POP1, TDRD7, PPARGC1A, LIN28B, LRRFIP2 and PNLDC1) were identified as prognosis-associated genes and were used to construct the prognostic model. Conclusion We constructed a COAD prognostic model through bioinformatics analysis, which indicated that prognostic model RBPs have a potential role in the diagnosis and prognosis of COAD. Moreover, the nomogram can effectively predict the 1-year, 3-year, and 5-year survival rate for COAD patients.

scholarly journals Integrated analysis of the functions and prognostic values of RNA-binding proteins in neuroblastoma

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260876
Author(s):  
Jun Yang ◽  
Jiaying Zhou ◽  
Cuili Li ◽  
Shaohua Wang
Keyword(s):  
Regression Analysis ◽  
Risk Score ◽  
Prognostic Model ◽  
Binding Proteins ◽  
Rna Binding ◽  
Risk Model ◽  
Cox Regression ◽  
Rna Binding Proteins ◽  
Differentially Expressed ◽  
Lasso Regression

Background Neuroblastoma (NB) is the most common solid tumor in children. NB treatment has made significant progress; however, given the high degree of heterogeneity, basic research findings and their clinical application to NB still face challenges. Herein, we identify novel prognostic models for NB. Methods We obtained RNA expression data of NB and normal nervous tissue from TARGET and GTEx databases and determined the differential expression patterns of RNA binding protein (RBP) genes between normal and cancerous tissues. Lasso regression and Cox regression analyses identified the five most important differentially expressed genes and were used to construct a new prognostic model. The function and prognostic value of these RBPs were systematically studied and the predictive accuracy verified in an independent dataset. Results In total, 348 differentially expressed RBPs were identified. Of these, 166 were up-regulated and 182 down-regulated RBPs. Two hubs RBPs (CPEB3 and CTU1) were identified as prognostic-related genes and were chosen to build the prognostic risk score models. Multivariate Cox analysis was performed on genes from univariate Cox regression and Lasso regression analysis using proportional hazards regression model. A five gene prognostic model: Risk score = (-0.60901*expCPEB3)+(0.851637*expCTU1) was built. Based on this model, the overall survival of patients in the high-risk subgroup was lower (P = 2.152e-04). The area under the curve (AUC) of the receiver-operator characteristic curve of the prognostic model was 0.720 in the TARGET cohort. There were significant differences in the survival rate of patients in the high and low-risk subgroups in the validation data set GSE85047 (P = 0.1237e-08), with the AUC 0.730. The risk model was also regarded as an independent predictor of prognosis (HR = 1.535, 95% CI = 1.368–1.722, P = 2.69E-13). Conclusions This study identified a potential risk model for prognosis in NB using Cox regression analysis. RNA binding proteins (CPEB3 and CTU1) can be used as molecular markers of NB.

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