Crosstalk Between Prognostic Long Noncoding RNAs and Messenger RNAs As Transcriptional Hallmarks in Gastric Cancer

Zhang, Jian; Yuan, Yujie; Wei, Zhewei; Ren, Jianwei; Xu, Hongguo; Yang, Dongjie; Cai, Sirong; Chen, Chuangqi; Tan, Min; Chen, George G; Wu, Kaiming; He, Yulong

doi:10.2217/epi-2017-0136

Cited by 10 publications

(10 citation statements)

References 51 publications

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“…For example, AC073335.2, a highly expressed lncRNA in human glioblastoma, is involved in tumorigenesis via acting as a competing endogenous RNA of miR-940 ( Shi et al, 2017 ). MIR100HG was previously reported to act as a regulator of hematopoiesis and oncogenes in many cancers ( Emmrich et al, 2014 ; Nair, 2016 ; Shang et al, 2016 ; Wieczorek and Reszka, 2018 ; Zhang et al, 2018 ). In agreement with our findings, MIR100HG was reported to be down-regulated in MIBC and may serve as a significant biomarker for MIBC ( Wang et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Identification of miR-200c and miR141-Mediated lncRNA-mRNA Crosstalks in Muscle-Invasive Bladder Cancer Subtypes

et al. 2018

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Basal and luminal subtypes of muscle-invasive bladder cancer (MIBC) have distinct molecular profiles and heterogeneous clinical behaviors. The interactions between mRNAs and lncRNAs, which might be regulated by miRNAs, have crucial roles in many cancers. However, the miRNA-dependent crosstalk between lncRNA and mRNA in specific MIBC subtypes still remains unclear. In this study, we first classified MIBC into two conservative subtypes using miRNA, mRNA and lncRNA expression data derived from The Cancer Genome Atlas. Then we investigated subtype-related biological pathways and evaluated the subtype classification performance using Decision Trees, Random Forest and eXtreme Gradient Boosting (XGBoost). At last, we explored potential miRNA-mediated lncRNA-mRNA crosstalks based on co-expression analysis. Our results show that: (1) the luminal subtype is primarily characterized by upregulation of metabolism-related pathways while the basal subtype is predominantly characterized by upregulation of epithelial-mesenchymal transition, metastasis, and immune system process-related pathways; (2) the XGBoost prediction model is consistently robust for classification of the molecular subtypes of MIBC across four datasets (The area under the ROC curve > 0.9); (3) the expression levels of the molecules in the miR-200c and miR141-mediated lncRNA-mRNA crosstalks differ considerably between the two subtypes and have close relationships with the prognosis of MIBC. The miR-200c and miR-141-dependent mRNA-lncRNA crosstalks might be of great significance in tumorigenesis and tumor progression and may serve as the novel prognostic predictors and classification markers of MIBC subtypes.

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Section: Discussionmentioning

confidence: 99%

Identification of miR-200c and miR141-Mediated lncRNA-mRNA Crosstalks in Muscle-Invasive Bladder Cancer Subtypes

et al. 2018

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“…All rights reserved. to investigate the significance of crosstalk between long non-coding RNA and mRNA in GC [17]. In our study, we used the GEO dataset GSE66229 to select four genes, RBPMS2, RGN, PLEKHS1, and CT83, to establish a diagnostic model.…”

Section: Establishment and Validation Of The Nomogrammentioning

confidence: 99%

An Innovative Prognostic Model Based on Four Genes in Asian Patient with Gastric Cancer

Chen

Wang

et al. 2021

Cancer Res Treat

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Gastric cancer (GC) has substantial biological differences between Asian and non-Asian populations, which makes it difficult to have a unified predictive measure for all people. We aimed to identify novel prognostic biomarkers to help predict the prognosis of Asian GC patients. Materials and Methods We investigated the differential gene expression between GC and normal tissues of GSE66229. Univariate, multivariate and Lasso Cox regression analyses were conducted to establish a fourgene-related prognostic model based on the risk score. The risk score was based on a linear combination of the expression levels of individual genes multiplied by their multivariate Cox regression coefficients. Validation of the prognostic model was conducted using The Cancer Genome Atlas (TCGA) database. A nomogram containing clinical characteristics and the prognostic model was established to predict the prognosis of Asian GC patients. Results Four genes (RBPMS2, RGN, PLEKHS1, CT83) were selected to establish the prognostic model, and it was validated in the TCGA Asian cohort. Receiver operating characteristic analysis confirmed the sensitivity and specificity of the prognostic model. Based on the prognostic model, a nomogram containing clinical characteristics and the prognostic model was established, and Harrell's concordance index of the nomogram for evaluating the overall survival significantly higher than the model only focuses on the pathologic stage (0.74 vs. 0.64, p < 0.001). Conclusion The four-gene-related prognostic model and the nomogram based on it are reliable tools for predicting the OS of Asian GC patients.

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“…Among small ncRNAs, miRNAs are highly conserved and regulate gene expression in multicellular organisms at a posttranscriptional level (Ambros, 2004 ). In GC, some ncRNAs can function as oncogenes or tumor suppressor genes by controlling the expression of target genes (Zhang et al, 2014 , 2018 ).…”

Section: Ncrnas and Mirnasmentioning

confidence: 99%

“…This non-coding transcript inhibits cell proliferation and invasion through downregulation of oncogene MUC2 (Zhou et al, 2016 ). More recent studies have begun to shed light on the transcriptional crosstalk between lncRNAs and mRNAs in GC, proving that this is a promising field in biomedicine (Zhang et al, 2018 ) which will broaden our understanding of the pathogenesis of this disease. Furthermore, tissue-specificity and ability to predict clinical subtypes of cancer by their future behavior suggest great potential for these ncRNAs as biomarkers for diagnosis and prognosis (Du et al, 2013 ; Schmitt and Chang, 2016 ).…”

Section: Ncrnas and Mirnasmentioning

confidence: 99%

Role of microRNAs and Exosomes in Helicobacter pylori and Epstein-Barr Virus Associated Gastric Cancers

et al. 2018

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Emerging evidence suggests that chronic inflammation caused by pathogen infection is connected to the development of various types of cancer. It is estimated that up to 20% of all cancer deaths is linked to infections and inflammation. In gastric cancer, such triggers can be infection of the gastric epithelium by either Helicobacter pylori (H. pylori), a bacterium present in half of the world population; or by Epstein-Barr virus (EBV), a double-stranded DNA virus which has recently been associated with gastric cancer. Both agents can establish lifelong inflammation by evolving to escape immune surveillance and, under certain conditions, contribute to the development of gastric cancer. Non-coding RNAs, mainly microRNAs (miRNAs), influence the host innate and adaptive immune responses, though long non-coding RNAs and viral miRNAs also alter these processes. Reports suggest that chronic infection results in altered expression of host miRNAs. In turn, dysregulated miRNAs modulate the host inflammatory immune response, favoring bacterial survival and persistence within the gastric mucosa. Given the established roles of miRNAs in tumorigenesis and innate immunity, they may serve as an important link between H. pylori- and EBV-associated inflammation and carcinogenesis. Example of this is up-regulation of miR-155 in H. pylori and EBV infection. The tumor environment contains a variety of cells that need to communicate with each other. Extracellular vesicles, especially exosomes, allow these cells to deliver certain type of information to other cells promoting cancer growth and metastasis. Exosomes have been shown to deliver not only various types of genetic information, mainly miRNAs, but also cytotoxin-associated gene A (CagA), a major H. pylori virulence factor. In addition, a growing body of evidence demonstrates that exosomes contain genetic material of viruses and viral miRNAs and proteins such as EBV latent membrane protein 1 (LMP1) which are delivered into recipient cells. In this review, we focus on the dysregulated H. pylori- and EBV-associated miRNAs while trying to unveil possible causal mechanisms. Moreover, we discuss the role of exosomes as vehicles for miRNA delivery in H. pylori- and EBV-related carcinogenesis.

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Crosstalk Between Prognostic Long Noncoding RNAs and Messenger RNAs As Transcriptional Hallmarks in Gastric Cancer

Abstract: Our study reveals coexpressed lncRNAs and mRNAs as transcriptional hallmarks in GC patients which provide interesting information regarding the incidence and outcome of GC.

Cited by 10 publications

References 51 publications

Identification of miR-200c and miR141-Mediated lncRNA-mRNA Crosstalks in Muscle-Invasive Bladder Cancer Subtypes

Identification of miR-200c and miR141-Mediated lncRNA-mRNA Crosstalks in Muscle-Invasive Bladder Cancer Subtypes

An Innovative Prognostic Model Based on Four Genes in Asian Patient with Gastric Cancer

Role of microRNAs and Exosomes in Helicobacter pylori and Epstein-Barr Virus Associated Gastric Cancers

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