scholarly journals Bioinformatic Analysis Identified Potentially Prognostic Long Noncoding RNAs and MicroRNAs for Gastric Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jiao Guo ◽  
Yongda Liu ◽  
Ping Zhao
Keyword(s):  
Gastric Cancer ◽  
Clinical Data ◽  
Target Genes ◽  
Univariate Analysis ◽  
Noncoding Rnas ◽  
Clinical Information ◽  
Bioinformatic Analysis ◽  
Long Noncoding Rnas ◽  
Prognostic Indicators ◽  
Cox Analysis

Gastric cancer (GC) is the fifth most common malignant tumor in the world. The present study was performed to discover the potential diagnostic and therapeutic long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) of GC. Data used in this study to identify differentially expressed lncRNAs (DElncRNAs) and miRNAs (DEmiRNAs) were obtained from 187 GC tissues and 32 adjacent nontumor tissues. The total clinical data on GC included 187 cases. The above data were from the TCGA database. RStudio/Bioconductor software was used to conduct univariate analysis, the least absolute shrinkage and selection operator (LASSO) Cox, and multivariate Cox proportional risk regression for the DElncRNAs and DEmiRNAs. Clinical information was analyzed through univariate and multivariate Cox analysis. Results: five lncRNAs (AC007785.3, AC079385.3, LINC00392, LINC01729, and U95743.1) and two miRNAs (hsa-miR-3174, hsa-miR-605) were proven to be independent prognostic indicators of GC. Results of the Kaplan-Meier survival analysis showed that AC007785.3, AC079385.3, LINC01729, miR-3174, and miR-605 were significantly correlated with OS of GC. The target genes of AC079385.3, miR-3174, and miR-605 were obtained and clustered mainly on MAPK and cGMP-PKG signaling pathways. The clinical data showed that age and clinicopathologic stage were correlated with the prognosis of GC. Furthermore, AC007785.3 was associated with metastasis of GC, and miR-3174 was associated with the primary tumor condition of GC. We identified three lncRNAs (AC007785.3, AC079385.3, LINC01729), two miRNAs (miR-3174, miR-605), and clinical factors related to the pathogenesis and prognosis of GC. Our predicted results provide a possible entry point for the study of prognostic markers for GC.

scholarly journals Molecular mechanisms of long noncoding RNAs on gastric cancer

Oncotarget ◽  
2016 ◽  
Vol 7 (8) ◽  
pp. 8601-8612 ◽  
Author(s):  
Tianwen Li ◽  
Xiaoyan Mo ◽  
Liyun Fu ◽  
Bingxiu Xiao ◽  
Junming Guo
Keyword(s):  
Gastric Cancer ◽  
Molecular Mechanisms ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas

Abstract 91: Genome-wide Identification and Characterization of Cardiac Hypertrophy-related Long Noncoding RNAs in Mice

2016 ◽  
Vol 119 (suppl_1) ◽  
Author(s):  
Zhanpeng Huang ◽  
Gengze Wu ◽  
Jian-Hua Yang ◽  
Jian Ding ◽  
Jinghai Chen ◽  
...  
Keyword(s):  
Cardiac Hypertrophy ◽  
Target Genes ◽  
Troponin T ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Functional Screening ◽  
Loss Of Function ◽  
Specific Expression ◽  
Functional Conservation ◽  
Virus Serotype

Long noncoding RNAs (LncRNAs) are RNA transcripts longer than 200 nucleotides that lack protein-coding potential. Although thousands of lncRNAs have been identified, only a few have been linked to cardiac gene expression and function. In this study, we identified, from genome-scale RNA-seq data, 12 candidate lncRNAs associated with cardiac hypertrophy (CH-lncRNAs). The expression of these lncRNAs was altered in mouse models of cardiac hypertrophy induced by transverse aortic constriction (TAC)- or CnA transgene. To determine the function of these lncRNAs, we developed an adeno-associated virus serotype 9 (AAV9)-based functional screening in postnatal mice. An AAV9:cTNT vector, in which the cardiac troponin T (cTNT) promoter was used to direct cardiac-specific expression of target genes, was utilized to overexpress or knockdown candidate lncRNAs in mouse hearts. Postnatal day 1 wild type or CnA transgenic pups were injected with AAV9 viruses and cardiac function was measured one and two months later. Thus far, we have tested 15 candidate lncRNAs for both gain- and loss-of-function studies. Among them, two lncRNAs were demonstrated regulating hypertrophy growth when knocked down. Finally, we identified the human homologues of CH-lncRNA through analyzing the conservation of the promoter regions of lncRNA genes. We showed that the expression of these human CH-lncRNA was dysregulated in human diseased hearts, suggesting the functional conservation of these lncRNAs in cardiac disease. Our study therefore demonstrated that lncRNAs are important regulator of cardiac hypertrophy and disease.

scholarly journals The Roles of Long Noncoding RNAs HNF1α-AS1 and HNF4α-AS1 in Drug Metabolism and Human Diseases

2020 ◽  
Vol 6 (2) ◽  
pp. 24 ◽  
Author(s):  
Liming Chen ◽  
Yifan Bao ◽  
Suzhen Jiang ◽  
Xiao-bo Zhong
Keyword(s):  
Drug Metabolism ◽  
Drug Toxicity ◽  
Target Genes ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Future Directions ◽  
Protein Coding ◽  
Mirna Sponge ◽  
Current Review ◽  
And Function

Long noncoding RNAs (lncRNAs) are RNAs with a length of over 200 nucleotides that do not have protein-coding abilities. Recent studies suggest that lncRNAs are highly involved in physiological functions and diseases. lncRNAs HNF1α-AS1 and HNF4α-AS1 are transcripts of lncRNA genes HNF1α-AS1 and HNF4α-AS1, which are antisense lncRNA genes located in the neighborhood regions of the transcription factor (TF) genes HNF1α and HNF4α, respectively. HNF1α-AS1 and HNF4α-AS1 have been reported to be involved in several important functions in human physiological activities and diseases. In the liver, HNF1α-AS1 and HNF4α-AS1 regulate the expression and function of several drug-metabolizing cytochrome P450 (P450) enzymes, which also further impact P450-mediated drug metabolism and drug toxicity. In addition, HNF1α-AS1 and HNF4α-AS1 also play important roles in the tumorigenesis, progression, invasion, and treatment outcome of several cancers. Through interacting with different molecules, including miRNAs and proteins, HNF1α-AS1 and HNF4α-AS1 can regulate their target genes in several different mechanisms including miRNA sponge, decoy, or scaffold. The purpose of the current review is to summarize the identified functions and mechanisms of HNF1α-AS1 and HNF4α-AS1 and to discuss the future directions of research of these two lncRNAs.

scholarly journals Plasma long noncoding RNAs PANDAR, FOXD2-AS1, and SMARCC2 as potential novel diagnostic biomarkers for gastric cancer

2019 ◽  
Vol Volume 11 ◽  
pp. 6175-6184 ◽  
Author(s):  
Ziwei Yang ◽  
Yanfei Sun ◽  
Rongfeng Liu ◽  
Yanyan Shi ◽  
Shigang Ding
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Diagnostic Biomarkers

Crosstalk between prognostic long noncoding RNAs and messenger RNAs as transcriptional hallmarks in gastric cancer

Epigenomics ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 433-443 ◽  
Author(s):  
Jian Zhang ◽  
Yujie Yuan ◽  
Zhewei Wei ◽  
Jianwei Ren ◽  
Xun Hou ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Messenger Rnas

scholarly journals Comprehensive Characterization of Prognostic Long Noncoding RNAs in Osteosarcoma

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Hua Gao ◽  
Yuanyuan Guo ◽  
Miaomiao Zhang ◽  
Zuqiang Yi
Keyword(s):  
Regression Model ◽  
Hedgehog Signaling ◽  
Cox Regression ◽  
Differential Expression Analysis ◽  
Noncoding Rnas ◽  
Clinical Information ◽  
Risk Groups ◽  
Long Noncoding Rnas ◽  
Cox Regression Model ◽  
Go Terms

The molecular mechanism of osteosarcoma (OS) based on protein-coding genes has largely been studied in the past decades. However, much remains to be explored when it comes to the role that long noncoding RNAs (lncRNAs) play in the pathogenesis and progression of OS and how they are associated with OS metastasis. In the present study, we collected RNA-seq-based gene expression data of 82 OS samples from the Therapeutically Applicable Research To Generate Effective Treatments (TARGET) database, along with their clinical information. We found that 50 lncRNAs were significantly associated with patients’ survival by univariable Cox regression model. Moreover, we built multivariable Cox regression model based on 7 lncRNAs and successfully stratified patients into two risk groups, which exhibited significantly different prognostic outcomes. Significantly enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways detected by differential expression analysis on DEGs between the two groups with different prognostic outcomes were both immune-related, indicating that such GO terms and pathways are critical for OS survival. Among the seven lncRNA signatures, AC011442.1 was predicted to act as an oncogenic driver in OS by correlation analysis of copy number alteration (CNA) and lncRNA expression, and it was predicted to regulate AMPK and hedgehog signaling pathways. In summary, the identification of novel prognostic lncRNAs in OS could not only improved our understanding of the lncRNAs involved in OS tumorigenesis or progression but also assist the diagnosis and development of molecularly targeted therapies for OS, which in turn benefit patients’ survival.

scholarly journals Transcriptional profiling of long noncoding RNAs associated with leaf-color mutation in Ginkgo biloba L

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yaqiong Wu ◽  
Jing Guo ◽  
Tongli Wang ◽  
Fuliang Cao ◽  
Guibin Wang
Keyword(s):  
Ginkgo Biloba ◽  
High Throughput Sequencing ◽  
Target Genes ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Differentially Expressed ◽  
Biological Processes ◽  
Leaf Color ◽  
Wide Range ◽  
Color Mutation

Abstract Background Long noncoding RNAs (lncRNAs) play an important role in diverse biological processes and have been widely studied in recent years. However, the roles of lncRNAs in leaf pigment formation in ginkgo (Ginkgo biloba L.) remain poorly understood. Results In this study, lncRNA libraries for mutant yellow-leaf and normal green-leaf ginkgo trees were constructed via high-throughput sequencing. A total of 2044 lncRNAs were obtained with an average length of 702 nt and typically harbored 2 exons. We identified 238 differentially expressed lncRNAs (DELs), 32 DELs and 49 differentially expressed mRNAs (DEGs) that constituted coexpression networks. We also found that 48 cis-acting DELs regulated 72 target genes, and 31 trans-acting DELs regulated 31 different target genes, which provides a new perspective for the regulation of the leaf-color mutation. Due to the crucial regulatory roles of lncRNAs in a wide range of biological processes, we conducted in-depth studies on the DELs and their targets and found that the chloroplast thylakoid membrane subcategory and the photosynthesis pathways (ko00195) were most enriched, suggesting their potential roles in leaf coloration mechanisms. In addition, our correlation analysis indicates that eight DELs and 68 transcription factors (TFs) might be involved in interaction networks. Conclusions This study has enriched the knowledge concerning lncRNAs and provides new insights into the function of lncRNAs in leaf-color mutations, which will benefit future selective breeding of ginkgo.

scholarly journals Prognostic value of long noncoding RNAs in gastric cancer: a meta-analysis

2018 ◽  
Vol Volume 11 ◽  
pp. 4877-4891 ◽  
Author(s):  
Song Gao ◽  
Zhi-Ying Zhao ◽  
Rong Wu ◽  
Yue Zhang ◽  
Zhen-Yong Zhang
Keyword(s):  
Gastric Cancer ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas

scholarly journals Circulating CUDR, LSINCT-5 and PTENP1 long noncoding RNAs in sera distinguish patients with gastric cancer from healthy controls

2015 ◽  
Vol 137 (5) ◽  
pp. 1128-1135 ◽  
Author(s):  
Lei Dong ◽  
Peng Qi ◽  
Mi-Die Xu ◽  
Shu-Juan Ni ◽  
Dan Huang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Healthy Controls
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