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 Molecular Mechanisms of Long Noncoding RNAs

2011 ◽  
Vol 43 (6) ◽  
pp. 904-914 ◽  
Author(s):  
Kevin C. Wang ◽  
Howard Y. Chang
Keyword(s):  
Molecular Mechanisms ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas

scholarly journals Identification of Long Noncoding RNAs as Predictors of Survival in Triple-Negative Breast Cancer Based on Network Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Xiao-Xiao Li ◽  
Li-Juan Wang ◽  
Jie Hou ◽  
Hong-Yang Liu ◽  
Rui Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Network Analysis ◽  
Molecular Mechanisms ◽  
Triple Negative ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Breast Cancers ◽  
Luminal A ◽  
Her2 Positive ◽  
Cancer Subtypes

Breast cancer is the most common cancer observed in adult females, worldwide. Due to the heterogeneity and varied molecular subtypes of breast cancer, the molecular mechanisms underlying carcinogenesis in different subtypes of breast cancer are distinct. Recently, long noncoding RNAs (lncRNAs) have been shown to be oncogenic or play important roles in cancer suppression and are used as biomarkers for diagnosis and therapy. In this study, we identified 134 lncRNAs and 6,414 coding genes were differentially expressed in triple-negative (TN), human epidermal growth factor receptor 2- (HER2-) positive, luminal A-positive, and luminal B-positive breast cancer. Of these, 37 lncRNAs were found to be dysregulated in all four subtypes of breast cancers. Subtypes of breast cancer special modules and lncRNA-mRNA interaction networks were constructed through weighted gene coexpression network analysis (WGCNA). Survival analysis of another public datasets was used to verify the identified lncRNAs exhibiting potential indicative roles in TN prognosis. Results from heat map analysis of the identified lncRNAs revealed that five blocks were significantly displayed. High expressions of lncRNAs, including LINC00911, CSMD2-AS1, LINC01192, SNHG19, DSCAM-AS1, PCAT4, ACVR28-AS1, and CNTFR-AS1, and low expressions of THAP9-AS1, MALAT1, TUG1, CAHM, FAM2011, NNT-AS1, COX10-AS1, and RPARP-AS1 were associated with low survival possibility in TN breast cancers. This study provides novel lncRNAs as potential biomarkers for the therapeutic and prognostic classification of different breast cancer subtypes.

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.

scholarly journals Genome-wide discovery and characterization of long noncoding RNAs in patients with multiple myeloma

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Minqiu Lu ◽  
Ying Hu ◽  
Yin Wu ◽  
Huixing Zhou ◽  
Yuan Jian ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Molecular Mechanisms ◽  
Malignant Tumors ◽  
Coiled Coil ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Aberrant Expression ◽  
Genome Wide ◽  
Wide Range ◽  
Whole Transcriptome

Abstract Background Long noncoding RNAs (lncRNAs) are involved in a wide range of biological processes in tumorigenesis. However, the role of lncRNA expression in the biology, prognosis, and molecular classification of human multiple myeloma (MM) remains unclear, especially the biological functions of the vast majority of lncRNAs. Recently, lncRNAs have been identified in neoplastic hematologic disorders. Evidence has accumulated on the molecular mechanisms of action of lncRNAs, providing insight into their functional roles in tumorigenesis. This study aimed to characterize potential lncRNAs in patients with MM. Methods In this study, the whole-transcriptome strand-specific RNA sequencing of samples from three newly diagnosed patients with MM was performed. The whole transcriptome, including lncRNAs, microRNAs, and mRNAs, was analyzed. Using these data, MM lncRNAs were systematically analyzed, and the lncRNAs involved in the occurrence of MM were identified. Results The results revealed that MM lncRNAs had distinctive characteristics different from those of other malignant tumors. Further, the functions of a set of lncRNAs preferentially expressed in MM were verified, and several lncRNAs were identified as competing endogenous RNAs. More importantly, the aberrant expression of certain lncRNAs, including maternally expressed gene3, colon cancer–associated transcript1, and coiled-coil domain-containing 26, as well as some novel lncRNAs involved in the occurrence of MM was established. Further, lncRNAs were related to some microRNAs, regulated each other, and participated in MM development. Conclusions Genome-wide screening and functional analysis enabled the identification of a set of lncRNAs involved in the occurrence of MM. The interaction exists among microRNAs and lncRNAs.

scholarly journals Long Noncoding RNAs and Messenger RNAs Expression Profiles Potentially Regulated by ZBTB7A in Nasopharyngeal Carcinoma

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Fei Liu ◽  
Jiazhang Wei ◽  
Yanrong Hao ◽  
Fengzhu Tang ◽  
Wei Jiao ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Fatty Acid Synthase ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Differentially Expressed ◽  
Messenger Rnas ◽  
Regulatory Pathways ◽  
Different Levels

Our previous studies showed that ZBTB7A played an important role in promoting nasopharyngeal carcinoma (NPC) progression. However, molecular mechanisms of different levels of ZBTB7A are still unclear. It is necessary to search molecular markers which are closely connected with ZBTB7A. We selected NPC sublines CNE2 with stably transfecting empty plasmid (negative control, NC) and short hair RNA (shRNA) plasmid targeting ZBTB7A as research objectives. Microarray was used to screen differentially expressed long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) via shRNA-CNE2 versus NC-CNE2. Quantitative PCR (qPCR) was used to validate lncRNAs and mRNAs from the sublines, chronic rhinitis, and NPC tissues. Bioinformatics was used to analyze regulatory pathways which were connected with ZBTB7A. The 1501 lncRNAs (long noncoding RNAs) and 1275 differentially expressed mRNAs were upregulated or downregulated over 2-fold. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that the upregulated or downregulated carbohydrate and lipid metabolisms probably involved in carcinogenicity of shRNA-CNE2 (P-value cut-off was 0.05). In order to find the molecular mechanisms of ZBTB7A, we validated 12 differentially expressed lncRNAs and their nearby mRNAs by qPCR. Most of the differentially expressed mRNAs are closely connected with carbohydrate and lipid metabolisms in multiply cancers. Furthermore, part of them were validated in NPC and rhinitis tissues by qPCR. As a result, NR_047538, ENST00000442852, and fatty acid synthase (FASN) were closely associated with NPC. ZBTB7A had a positive association with NR_047538 and negative associations with ENST00000442852 and FASN. The results probably provide novel candidate biomarkers for NPC progression with different levels of ZBTB7A.

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