scholarly journals Long noncoding RNAs in gastric cancer: functions and clinical applications

2016 ◽  
pp. 681 ◽  
Author(s):  
Zhenning Wang ◽  
Jiajun Wang ◽  
Jun Wang ◽  
Yongxi Song ◽  
Peng Gao ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rnas ◽  
Clinical Applications ◽  
Long Noncoding Rnas

Roles of long noncoding RNAs in gastric cancer and their clinical applications

2016 ◽  
Vol 142 (11) ◽  
pp. 2231-2237 ◽  
Author(s):  
Weiliang Sun ◽  
Yunben Yang ◽  
Chunjing Xu ◽  
Yi Xie ◽  
Junming Guo
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rnas ◽  
Clinical Applications ◽  
Long Noncoding Rnas

scholarly journals Exosome-derived noncoding RNAs in gastric cancer: functions and clinical applications

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiao-Huan Tang ◽  
Ting Guo ◽  
Xiang-Yu Gao ◽  
Xiao-Long Wu ◽  
Xiao-Fang Xing ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rnas ◽  
Tumour Microenvironment ◽  
Clinical Applications ◽  
Biological Molecules ◽  
Biological Functions ◽  
Membrane Structures ◽  
Chemical Substances ◽  
Expression Levels ◽  
The Stability

AbstractExosomes are a subpopulation of the tumour microenvironment (TME) that transmit various biological molecules to promote intercellular communication. Exosomes are derived from nearly all types of cells and exist in all body fluids. Noncoding RNAs (ncRNAs) are among the most abundant contents in exosomes, and some ncRNAs with biological functions are specifically packaged into exosomes. Recent studies have revealed that exosome-derived ncRNAs play crucial roles in the tumorigenesis, progression and drug resistance of gastric cancer (GC). In addition, regulating the expression levels of exosomal ncRNAs can promote or suppress GC progression. Moreover, the membrane structures of exosomes protect ncRNAs from degradation by enzymes and other chemical substances, significantly increasing the stability of exosomal ncRNAs. Specific hallmarks within exosomes that can be used for exosome identification, and specific contents can be used to determine their origin. Therefore, exosomal ncRNAs are suitable for use as diagnostic and prognostic biomarkers or therapeutic targets. Regulating the biogenesis of exosomes and the expression levels of exosomal ncRNAs may represent a new way to block or eradicate GC. In this review, we summarized the origins and characteristics of exosomes and analysed the association between exosomal ncRNAs and GC development.

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

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 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

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.

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