scholarly journals LncRNA NORAD as a Novel Predictor of Lymph Node Metastasis and Prognosis in Solid Tumors: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 19 ◽  
pp. 153303382096358
Author(s):  
Tao Ye ◽  
Zhangqun Ye
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Meta Analysis ◽  
Tumor Grade ◽  
Node Metastasis ◽  
Human Cancers ◽  
Non Coding Rna ◽  
Relationship Of ◽  
The Relationship ◽  
Review Manager

Background: Non-coding RNA-activated by DNA damage (NORAD), a novel identified lncRNA, was found to be aberrantly expressed in various types of cancer. This meta-analysis was performed to evaluate the value of lncRNA NORAD as a prognostic biomarker in human cancers. Methods: We searched PubMed, Web of Science, PMC, and Embase databases thoroughly for eligible literatures. Studies which explored the relationship of lncRNA NORAD expression with clinical outcomes in human cancers were included in our meta-analysis. Review Manager version 5.3 and Stata SE 12.0 were used to perform the data analyses. Results: Our meta-analysis results indicated that cancer patients with high lncRNA NORAD expression tended to have unfavorable overall survival (OS) (HR = 1.67; 95% CI, 1.44-1.95; P < 0.00001). Moreover, elevated lncRNA NORAD expression showed a significant relationship with poor tumor grade (OR = 1.61; 95% CI, 1.01-2.56; P = 0.05) and more lymph node metastasis (LNM) (OR = 2.66; 95% CI, 1.60-4.43; P = 0.0002). Conclusions: LncRNA NORAD could serve as a valuable biomarker to predict poor prognosis and LNM in various human tumors.

scholarly journals LncRNA BLACAT1 May Serve as a Prognostic Predictor in Cancer: Evidence from a Meta-Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Hongyan Lu ◽  
Haoran Liu ◽  
Xiaoqi Yang ◽  
Tao Ye ◽  
Peng Lv ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Meta Analysis ◽  
Tumor Grade ◽  
Tnm Stage ◽  
Cancer Prognosis ◽  
Node Metastasis ◽  
Primary Endpoints ◽  
The Relationship ◽  
Review Manager

Background. As a newly discovered lncRNA, bladder cancer-associated transcript 1 (BLACAT1) has been reported to correlate with poor clinical outcomes in several different cancers. This study aimed to evaluate its generalized predictive value for cancer prognosis. Materials and Methods. We thoroughly searched PubMed, Embase, and Web of Science databases for eligible studies published until November 11, 2018, in which the relationship between BLACAT1 expression and cancer prognosis was explored. The analyses were performed using Review Manager Version 5.3 and Stata SE 12.0. The primary endpoints included overall survival (OS), pathological characteristics (TNM stage and tumor grade), lymph node metastasis (LNM), and distant metastasis. Results. Ten studies containing 861 patients with 7 different cancerous diseases were eventually included. The results demonstrated that patients with high lncRNA BLACAT1 expression had a significantly shorter OS (HR: 1.82, 95% CI: 1.44-2.30, p < 0.00001) than patients with low lncRNA BLACAT1 expression. Moreover, elevated BLACAT1 expression was significantly associated with advanced TNM stage (OR: 2.29, 95% CI: 1.15-4.56, p = 0.005), high tumor grade (OR: 1.67, 95% CI: 1.11-2.53, p = 0.01), and lymph node metastasis (OR: 2.53, 95% CI: 1.80-3.57, p < 0.00001). Meanwhile, the expression of BLACAT1 had no significant association with age (p = 0.92), gender (p = 0.55), and smoking (p = 0.62). Conclusion. High expression of lncRNA BLACAT1 may predict a poor prognosis in OS, TNM stage, tumor grade, and LNM. Its predictive roles were not significantly affected by age, gender, or smoking. Therefore, lncRNA BLACAT1 may serve as a promising predictor in cancer prognosis.

scholarly journals Impact of S100A4 Expression on Clinicopathological Characteristics and Prognosis in Pancreatic Cancer: A Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Shanshan Huang ◽  
Jiawei Zheng ◽  
Yufang Huang ◽  
Li Song ◽  
Yin Yin ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Meta Analysis ◽  
Clinicopathological Characteristics ◽  
Node Metastasis ◽  
Relative Risks ◽  
Potential Marker ◽  
S100a4 Expression ◽  
The Relationship

Background.The small Ca2+-binding protein S100A4 is identified as a metastasis-associated or metastasis-inducing protein in various types of cancer. The goal of this meta-analysis was to evaluate the relationship between S100A4 expression and clinicopathological characteristics and prognosis of patients with pancreatic cancer.Methods. A comprehensive literature search was carried out in the electronic databases PubMed and Chinese CNKI. Only the studies reporting the correlation between S100A4 expression and clinicopathological characteristics or overall survival (OS) of patients with pancreatic cancer are enrolled. Extracted data was analyzed using the RevMan 5.3 software to calculate the pooled relative risks (95% confidence interval, CI) for statistical analyses.Results.Seven studies including a total of 474 patients were enrolled into this meta-analysis. Negative expression of S100A4 was significantly associated with higher 3-year OS rate (RR = 3.92, 95% CI = 2.24–6.87,P<0.0001), compared to S100A4-positive cases. Moreover, negative expression of S100A4 was also related to N0 stage for lymph node metastasis (RR = 2.15, 95% CI = 1.60–2.88,P<0.0001). However, S100A4 expression was not significantly correlated with histological types and distant metastasis status.Conclusion.S100A4 expression represents a potential marker for lymph node metastasis of pancreatic cancer and a potential unfavorable factor for prognosis of patients with this disease.

scholarly journals LncRNA AWPPH as a Prognostic Predictor in Human Cancers: Evidence From Meta-analysis

2020 ◽  
Author(s):  
Yongfeng Li ◽  
Xinmiao Rui ◽  
Daobao Chen ◽  
Haojun Xuan ◽  
Hongjian Yang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Size ◽  
Vascular Invasion ◽  
Meta Analysis ◽  
Clinicopathological Features ◽  
Tnm Stage ◽  
Node Metastasis ◽  
Human Cancers

Abstract Background: Long noncoding RNA associated with poor prognosis of hepatocellular carcinoma (AWPPH) is a novel oncogene and dysregulated in a variety of human cancers. It has been revealed to be associated with the clinicopathological features and prognosis. However, the prognostic value of AWPPH in various cancers remains unclear. Therefore, we perform this meta-analysis to evaluate the relationship between AWPPH expression and clinical outcomes in human cancers.Methods: Comprehensive literature search was performed in PubMed, Web of Science, CNKI and Wangfang databases, and eligible studies were obtained according to the inclusion and exclusion criteria. The pooled hazard ratios (HRs) and odds ratios (ORs) were applied to assess the clinical value of AWPPH expression for overall survival (OS) and clinicopathological features.Results: A total of 19 articles including 1699 cancer patients were included in the study. The pooled results demonstrated that evaluated AWPPH expression was positively related to a poorer overall survival of patients with cancers (HR=1.79, 95%CI: 1.44-2.14, P<0.001). Subgroup analysis revealed that tumor type and sample size affect the predictive value of AWPPH on OS, whereas cut-off value and HR estimation method have no impact on it. In addition, the pooled data also showed that AWPPH was positively linked to advanced TNM stage (OR=2.67, 95%CI: 1.86-3.83, P<0.001) , bigger tumor size (OR=2.64, 95%CI:1.47-4.73, P=0.001), macro-vascular invasion (OR=2.08, 95%CI: 1.04-4.16, P=0.04) and lymph node metastasis (OR=2.68, 95%CI: 1.82-3.96, P<0.001). Moreover, the results of the trim and fill analysis confirmed the reliability of our finding. Conclusions: Upregulation of AWPPH was associated with advanced TNM stage, bigger tumor size, worse lymph node metastasis, macro-vascular invasion, and shorter overall survival, suggesting that AWPPH may serve as a biomarker for prognosis and clinicopathological characteristics in human cancers.

scholarly journals Tumor-associated Tissue Eosinophilia Predicts Favorable Clinical Outcome in Solid Tumors: A Meta-analysis

2019 ◽  
Author(s):  
Guoming Hu ◽  
Shimin Wang ◽  
Wei Chen ◽  
Liming Huang
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Clinical Outcome ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Node Metastasis ◽  
Human Cancers ◽  
Tissue Eosinophilia ◽  
Favorable Clinical Outcome

Abstract Background: Activated eosinophils have been deemed to affect carcinogenesis and tumor progression via various mechanisms in tumor microenvironment. However, the prognostic role of tumor-associated tissue eosinophilia (TATE) in human cancers still remains controversial. Therefore, we performed the meta-analysis to better understand the role of TATE in prognosis prediction for cancer patients. Methods: We searched PubMed and EBSCO to identify the studies evaluating the association of TATE and overall survival (OS) and/or disease-free survival (DFS) in cancer patients, then computed extracted data into hazard ratios (HRs) for OS, DFS and clinicopathological features such as lymph node metastasis etc with STATA 12.0. Results: A total of 6125 patients from 25 published studies were incorporated into this meta-analysis. We found that the presence of TATE significantly improved OS and 5-year DFS in all types of cancers. In stratified analyses based on cancer types, pooled results indicated that eosinophils infiltrating into tumor tissue was significantly associated with better OS in oral cancer, esophageal carcinoma and colorectal cancer. In addition, TATE was significantly inversely correlated with lymph node metastasis, tumor stage and lymphatic invasion of cancer. Conclusion: TATE leads to a favorable clinical outcome in cancer patients, implicating that it is a valuable biomarker for prognostic prediction for human cancers and clinical application of biological response modifiers or agonists promoting TATE may be the novel therapeutic strategy for patients.

scholarly journals Long non-coding RNA UCA1 can predict tumor lymph node metastasis

Tumor Biology ◽  
2017 ◽  
Vol 39 (5) ◽  
pp. 101042831770620 ◽  
Author(s):  
Yuan-Hang Wang ◽  
Fang Wang ◽  
Lan Zhang ◽  
Jia-Chun Lu
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Node Metastasis ◽  
Non Coding Rna ◽  
High Expression Group ◽  
Long Non Coding Rna ◽  
Low Expression

Numerous studies suggested that long non-coding RNA UCA1 was highly expressed and played critical roles in the development and progression of various cancerous tissues and cells. However, little is known about the association between UCA1 and tumor lymph node metastasis. In our study, a systematic review was conducted to evaluate the association between UCA1 expression and tumor lymph node metastasis and explore whether UCA1 can be a potential molecular marker for predicting the multiple tumor lymph node metastasis. The meta-analysis result showed that the number of lymph node metastasis in different tumorous types of UCA1 high-expression group was significantly higher compared with UCA1 low-expression group (pooled odds ratio = 2.13, 95% confidence interval: 1.60–2.84, p < 0.05). To verify whether the above result was still valid in specific tumor type, we conducted a meta-analysis including four articles on colorectal cancer (pooled odds ratio = 2.07, 95% confidence interval: 1.28–3.34, p < 0.05). Based on the existing results, it can be explained that the long non-coding RNA UCA1 was significantly associated with lymph node metastasis and both the results revealed that compared with UCA1 low-expression group, the lymph node metastasis rate of UCA1 high-expression group was statistically significantly elevated. Therefore, long non-coding RNA UCA1 has the potential of being a biological marker for predicting lymph node metastasis.

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