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

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

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 Expression Profile of Long Noncoding RNAs in Human Earlobe Keloids: A Microarray Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Liang Guo ◽  
Kai Xu ◽  
Hongbo Yan ◽  
Haifeng Feng ◽  
Linlin Chai ◽  
...  
Keyword(s):  
Microarray Analysis ◽  
Expression Profiles ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Differentially Expressed ◽  
Diagnostic Biomarkers ◽  
Pathway Enrichment ◽  
Normal Tissues ◽  
Wide Range ◽  
Skin Scar

Background. Long noncoding RNAs (lncRNAs) play key roles in a wide range of biological processes and their deregulation results in human disease, including keloids. Earlobe keloid is a type of pathological skin scar, and the molecular pathogenesis of this disease remains largely unknown. Methods. In this study, microarray analysis was used to determine the expression profiles of lncRNAs and mRNAs between 3 pairs of earlobe keloid and normal specimens. Gene Ontology (GO) categories and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to identify the main functions of the differentially expressed genes and earlobe keloid-related pathways. Results. A total of 2068 lncRNAs and 1511 mRNAs were differentially expressed between earlobe keloid and normal tissues. Among them, 1290 lncRNAs and 1092 mRNAs were upregulated, and 778 lncRNAs and 419 mRNAs were downregulated. Pathway analysis revealed that 24 pathways were correlated to the upregulated transcripts, while 11 pathways were associated with the downregulated transcripts. Conclusion. We characterized the expression profiles of lncRNA and mRNA in earlobe keloids and suggest that lncRNAs may serve as diagnostic biomarkers for the therapy of earlobe keloid.

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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