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 Prognostic Value of Long Noncoding RNAs in Patients with Gastrointestinal Cancer: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Weibiao Kang ◽  
Qiang Zheng ◽  
Jun Lei ◽  
Changyu Chen ◽  
Changjun Yu
Keyword(s):  
Gastrointestinal Cancer ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Clinical Decision Making ◽  
Meta Analysis ◽  
Noncoding Rnas ◽  
Clinical Decision ◽  
Long Noncoding Rnas ◽  
Gastrointestinal Cancers ◽  
Lncrna Expression

Gastrointestinal cancers (GICs) are a huge threat to human health, which mainly include esophageal, gastric, and colorectal cancers. The purpose of this study was to clarify the prognostic value of long noncoding RNAs (lncRNAs) in GICs. A total of 111 articles were included, and 13103 patients (3123 with esophageal cancer, 4972 with gastric cancer, and 5008 with colorectal cancer) were enrolled in this study. The pooled hazard ratio (HR) values and corresponding 95% confidence interval (95% CI) of overall survival (OS) related to different lncRNA expressions in esophageal, gastric, colorectal, and gastrointestinal cancer patients were 1.92 (1.70–2.16), 1.96 (1.77–2.16), 2.10 (1.87–2.36), and 2.00 (1.87–2.13), respectively. We have identified 74 lncRNAs which were associated closely with poor prognosis of GIC patients, including 58 significantly upregulated lncRNA expression and 16 significantly downregulated lncRNA expression. In addition, 47 of the included studies revealed relative mechanisms and 12 of them investigated the correlation between lncRNAs and microRNAs. Taken together, this meta-analysis supports that specific lncRNAs are significantly related to the prognosis of GIC patients and may serve as novel markers for predicting the prognosis of GIC patients. Furthermore, lncRNAs may have a promising contribution to lncRNA-based targeted therapy and clinical decision-making in the future.

scholarly journals Identification of dysregulated long noncoding RNA and associated mechanism in gastric cancer

2020 ◽  
Author(s):  
Liang Shao ◽  
Yanan Ming ◽  
Zhaoming Zhou
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Noncoding Rnas ◽  
Strong Relationship ◽  
Underlying Mechanism ◽  
Long Noncoding Rnas ◽  
Differentially Expressed ◽  
Venn Diagram ◽  
Kaplan Meier

Abstract BackgroundsGastric cancer (GC) is one of the most malignant epithelial tumors. The incidence of GC varies worldwide, and nearly half of the cases occur in Asian countries, especially in Japan and China. GC is the 3rd leading cause of cancer-related deaths in the world, and current prognosis of advanced GC remains dismal despite improvements in diagnosis and therapy. Our current study aimed to identify significant long noncoding RNAs with the prognostic potential and preliminarily to investigate the underlying mechanisms the identified long noncoding RNAs.MethodsWe retrieved articles reporting human LncRNA microarray in GC patients and pooled eligible studies for meta-analysis. GEO2R and Qigen’s IPA analysis was utilized for searching potential interacted molecules with differentially expressed LncRNA in GC. The expression of eligible LncRNA and molecules in GC were validated in public GC dataset by GEPIA website. And Kaplan Meier plots was employed to analyze the correlation between target molecules and prognosis of GC.ResultsThis study identified a variety of reports to investigate the expression of lncRNAs in GC development using high-throughput lncRNA detection. Eight of them were further verified with significant expression in GC tissues by using Gene Expression Profiling Interactive Analysis (GEPIA). Next, the molecular interactions with eight lncRNAs were further identified by using Qiagen’s IPA system. Simultaneously, differentially expressed genes (DEGs) of GC were also identified via the GEO2R online tool and datasets (GSE54129, GSE19826, and GSE79973). Finally, through Venn diagram analysis, our study found that IGF2BP3 and FOLR1 have strong relationship with lncRNAs H19 and PVT1 respectively in the background of stomach cancer. The expression of IGF2BP3 and FOLR1 in GC was further revealed to be correlate to a worsening prognosis for GC patients by Kaplan Meier plots. IGF2BP3 promotes the expression of H19 and PEG10, the down-regulation of which might improve the GC prognosis. FOLR1 is a crucial component of cell metabolism and DNA synthesis/repair required for cancer cell division. Currently, there is no evidence to report IGF2BP3 and FOLR1 to correlate to GC prognosis.ConclusionIn summary, using an integrated bioinformatic approach we identified eight lncRNAs with prognostic potential in GC patients and further revealed two axes - H19-IGF2BP3 and PVT1-FOLR1 – that might interpret the underlying mechanism involving in prognosis of GC and provide new insights into the etiology and management of GC patients.

scholarly journals The prognostic value of long noncoding RNAs in prostate cancer: a systematic review and meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (34) ◽  
pp. 57755-57765 ◽  
Author(s):  
Weijie Ma ◽  
Xi Chen ◽  
Lu Ding ◽  
Jianhong Ma ◽  
Wei Jing ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Systematic Review ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas

scholarly journals Prognostic Role of Long Noncoding RNAs in Oral Squamous Cell Carcinoma: A Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yu Wang ◽  
Peng Wang ◽  
Xin Liu ◽  
Ziran Gao ◽  
Xianbao Cao ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Lncrna Expression ◽  
Asian Patients

Long noncoding RNAs (lncRNAs) have emerged as critical regulators of tumor progression, and lncRNA expression levels could serve as a potential molecular biomarker for the prognosis and diagnosis of some cancers. However, the prognostic value of lncRNAs in oral squamous cell carcinoma (OSCC) remains unclear. Thus, a meta-analysis was conducted to explore the potential prognostic value of lncRNAs in OSCC. We systematically searched PubMed, EBSCO, Web of Science, and Elsevier from 2005 to 2021 to identify all published studies that reported the association between lncRNAs and prognosis in OSCC. Then, we used meta-analytic methods to identify the actual effect size of lncRNAs on cancer prognosis. The hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated to assess the strength of the association. The reliability of those results was then examined using measures of heterogeneity and testing for selective reporting biases. According to the inclusion and exclusion criteria, a total of 17 studies were eligible in our meta-analysis, involving 1384 Asian patients. The results identified a statistically significant association of high lncRNA expression with poor overall survival [adjusted pooled hazard ratio AHR = 1.52 ; 95% confidence interval (CI): [1.26–1.84], p ≤ 0.001 ]. The present meta-analysis demonstrated that lncRNA expression might be used as a predictive prognostic biomarker for Asian patients with OSCC.

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 Prognostic Value of Pretreatment Systemic Immune-Inflammation Index in Gastric Cancer: A Meta-Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Ye Qiu ◽  
Zongxin Zhang ◽  
Ying Chen
Keyword(s):  
Gastric Cancer ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Positive Lymph Node ◽  
Node Metastasis ◽  
Advanced Tumor ◽  
Tumor Node Metastasis Stage ◽  
Immune Inflammation

BackgroundPrevious studies have investigated the role of systemic immune-inflammation index (SII) as a prognostic factor for gastric cancer (GC) patients, although with inconsistent results. Thus, the aim of this study was to identify the prognostic value of SII in GC through meta-analysis.MethodsWe systematically searched the PubMed, Embase, and Web of Science databases for relevant studies investigating the prognostic role of SII in GC up to December 2019. The hazard ratios (HRs) and 95% confidence intervals (CIs) related to overall survival (OS) and disease-free survival (DFS) were combined. Odds ratios (ORs) and 95% CIs were pooled to assess the correlation between SII and clinicopathological features of GC.ResultsA total of eight studies, comprising 4,236 patients, were included in this meta-analysis. Pooled analysis indicated that a high pretreatment SII predicted poor OS (HR=1.40, 95% CI=1.08–1.81, p=0.010) but not poor DFS (HR=1.30, 95% CI=0.92–1.83, p=0.140) in GC. In addition, an elevated SII correlated with an advanced tumor–node–metastasis stage (OR=2.34, 95% CI=1.40–3.92, p=0.001), T3–T4 stage (OR=2.25, 95% CI=1.34–3.77, p=0.002), positive lymph node metastasis (OR=1.79, 95% CI=1.12–2.87, p=0.016), and tumor size ≥ 5 cm (OR=2.28, 95% CI=1.62–3.22, p<0.001) in patients with GC.ConclusionsA high pretreatment SII significantly associated with poorer survival outcomes as well as several clinical characteristics in GC. We suggest that SII could be monitored to guide prognostication and provide reliable information on the risk of disease progression in GC.

Long noncoding RNAs in bladder cancer prognosis: A meta-analysis

2019 ◽  
Vol 215 (6) ◽  
pp. 152429 ◽  
Author(s):  
Wei Zhu ◽  
Hailang Liu ◽  
Xinguang Wang ◽  
Jinjin Lu ◽  
Weimin Yang
Keyword(s):  
Bladder Cancer ◽  
Meta Analysis ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Cancer Prognosis

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
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