scholarly journals Elevated long noncoding RNA MALAT-1 expression is predictive of poor prognosis in patients with breast cancer: a meta-analysis

2020 ◽  
Vol 40 (8) ◽  
Author(s):  
Yanyan Wang ◽  
Yujie Zhang ◽  
Kaimin Hu ◽  
Jili Qiu ◽  
Yue Hu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Relevant Literature ◽  
Disease Free Survival ◽  
Clinicopathological Features ◽  
Survival Outcomes ◽  
Cancer Type ◽  
Free Survival

Abstract Accumulating evidence indicates that aberrant regulation of metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1), a long noncoding RNA (lncRNA), plays a vital role in tumorigenesis. However, its association with breast cancer has not been systematically evaluated. In the current study, a meta-analysis was conducted to clarify the association between MALAT-1 and the prognosis and clinicopathological features of breast cancer. Relevant literature published in several databases was searched. Hazard ratio (HR) and odds ratio (OR) with 95% confidence interval (CI) were calculated to evaluate the effect of MALAT-1 expression on the survival outcomes and clinicopathological features of breast cancer. A total of 12 studies involving 4106 patients were identified. Pooled HR demonstrated that elevated MALAT-1 expression significantly predicted unfavorable overall survival (HR = 2.06, 95% CI: 1.66–2.56, P<0.0001) in patients with breast cancer. Subgroup analysis stratified by cancer type, sample size, and method of variance analysis also showed statistically significant associations. Additionally, the HR of patients with up-regulated MALAT-1 expression concerning disease-free survival (DFS), recurrence-free survival (RFS), and disease-specific survival (DSS) was 1.91 (95% CI: 1.53–2.39, P<0.0001). Further, elevated MALAT-1 expression was positively correlated with the progesterone receptor (PR) status (OR = 1.47, 95% CI: 1.18–1.82). Thus, MALAT-1 is a promising biomarker for predicting survival outcomes in patients with breast cancer.

scholarly journals Prognostic Value of Long Noncoding RNA NORAD in Various cancers: a meta-analysis

2020 ◽  
Author(s):  
Qin Yang ◽  
Zheng Zhang ◽  
Yuan-Yuan Gong ◽  
Zhi-Ran Li ◽  
Hua-Zhu Zhang ◽  
...  
Keyword(s):  
Risk Factor ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Bioinformatics Analysis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Clinicopathological Parameters ◽  
Survival Outcomes ◽  
Free Survival

Abstract Objective: Accumulating studies reported that noncoding RNA activated by DNA damage (NORAD) was correlated with poor survival outcomes for patients in different cancers. However, the effects of NORAD on cancer prognosis were controversial. Therefore, a meta-analysis was carried out to elucidate this issue. Methods: Literature search was performed to collect eligible relevant publications until June 2020. The pooled hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association of NORAD with prognosis and clinical features in diverse cancers. In addition, bioinformatics analysis was also utilized to validate the results of the meta-analysis. Results: Fourteen relevant articles involving 867 patients were enrolled in the present study. The pooled results showed that elevated expression of NORAD was a risk factor for overall survival (HR = 1.46, 95% CI: 1.06-2.01, P = 0.020), disease-free survival (HR = 1.74, 95% CI: 1.18-2.57, P = 0.005) and recurrence-free survival. Besides, overexpression of NORAD significantly correlated with lymph node metastasis and T stage. Additionally, bioinformatics analysis further strengthened and complemented the results of the present study. Conclusion: Our results showed that NORAD was a risk factor for survival outcomes and clinicopathological parameters in cancer patients. These findings indicated that NORAD may be a promising candidate for prognosis prediction and potential therapeutic target in diverse cancers. Key words: Long noncoding RNA, NORAD, prognosis, cancer, meta-analysis

scholarly journals Overexpression of LncRNA PVT1 Predicts Advanced Clinicopathological Features and Serves as an Unfavorable Risk Factor for Survival of Patients with Gastrointestinal Cancers

2017 ◽  
Vol 43 (3) ◽  
pp. 1077-1089 ◽  
Author(s):  
Fangteng Liu ◽  
Qing Dong ◽  
Jun Huang
Keyword(s):  
Noncoding Rna ◽  
Digestive System ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Clinicopathological Features ◽  
Gastrointestinal Cancers ◽  
Clinical Value ◽  
Poor Overall Survival ◽  
Systematic Analysis ◽  
Free Survival

Background/Aims: Many studies have reported that PVT1 played important roles in diverse cancer types. But the systematic analysis of PVT1 in gastrointestinal cancers has not been inspected. Thus, we aimed to investigate clinical value of the long noncoding RNA PVT1 (lncRNA) expression in digestive system cancers. Methods: Eligible studies were collected from a number of databases (PubMed, Web of Science, Embase, Chinese National Knowledge Infrastructure and Wanfang database). Pooled hazard ratio (HR) or odds ratio (OR) with 95 % confidence interval (95 % Cl) were applied to assess the clinical significance of PVT1. Results: Data from 15 articles were included with a total of 2585 patients. Elevated PVT1 expression were significantly related to poor overall survival (OS) [HR = 1.86, 95% CI (1.44, 2.28); p<0. 0001] in digestive system cancers. The same association was also observed between PVT1 expression with outcomes, including disease free survival (DFS), disease specific survival (DSS) and relapse free survival (RFS). The lncRNA PVT1 could also be predicative for some clinicopathological features. Conclusions: This meta-analysis revealed that PVT1 may serve as a prognostic predictor and pathological biomarker in digestive system cancers.

scholarly journals High Platelet-to-Lymphocyte Ratio Predicts Poor Prognosis and Clinicopathological Characteristics in Patients with Breast Cancer: A Meta-Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Miao Zhang ◽  
Xuan-zhang Huang ◽  
Yong-xi Song ◽  
Peng Gao ◽  
Jing-xu Sun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Clinicopathological Characteristics ◽  
Platelet To Lymphocyte Ratio ◽  
Free Survival ◽  
Node Negative ◽  
Lymphocyte Ratio

Background. We aimed to evaluate the correlation of platelet-to-lymphocyte ratio (PLR) with prognosis and clinicopathological characteristics of breast cancer. Methods. The PubMed and Embase databases were searched. Hazard ratio (HR) with 95% confidence interval (CI) was used to summarize disease-free survival (DFS) and overall survival (OS). Odds ratio (OR) was used to summarize tumor clinicopathological characteristics. Results. High PLR was associated with poor DFS and OS (DFS: HR = 1.47, 95% CI = 1.16–1.85, and Tau2 = 0.070; OS: HR = 1.88, 95% CI = 1.27–2.80, and Tau2 = 0.192). A Galbraith plot indicated that the studies by Allan et al. and Cihan et al. contributed the heterogeneity of DFS and OS, respectively. There were significant differences in the incidence of high PLR between stage II–IV and stage I groups (OR = 1.86, 95% CI = 1.20–2.90, and Tau2 < 0.001), between lymph node-positive and lymph node-negative groups (OR = 1.52, 95% CI = 1.22–1.91, and Tau2 =0.014), and between metastasis-positive and metastasis-negative groups (OR = 4.24, 95% CI = 2.73–6.59, and Tau2 < 0.001). Conclusions. Our results indicated that PLR was associated with poor prognosis of breast cancer and adequately predicted clinicopathological characteristics.

scholarly journals The prognostic value of long noncoding RNA SNHG16 on clinical outcomes in human cancers: a systematic review and meta-analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Chenghao Zhang ◽  
Xiaolei Ren ◽  
Jieyu He ◽  
Wanchun Wang ◽  
Chao Tu ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Clinicopathological Features ◽  
Survival Outcomes ◽  
Tumor Type ◽  
Free Survival ◽  
Expression Levels ◽  
Human Cancers ◽  
Tcga Dataset

Abstract Background Cancer has been a worldwide health problem with a high risk of morbidity and mortality, however ideal biomarkers for effective screening and diagnosis of cancer patients are still lacking. Small nucleolar RNA host gene 16 (SNHG16) is newly identified lncRNA with abnormal expression in several human malignancies. However, its prognostic value remains controversial. This meta-analysis aimed to synthesize available data to clarify the association between SNHG16 expression levels and clinical prognosis value in multiple cancers. Methods Extensive literature retrieval was conducted to identify eligible studies, and data regarding SNHG16 expression levels on survival outcomes and clinicopathological features were extracted and pooled for calculation of the hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs). Forest plots were applied to show the association between SNHG16 expression and survival prognosis. Additionally, The Cancer Genome Atlas (TCGA) dataset was screened and extracted for validation of the results in this meta-analysis. Results A total of eight studies comprising 568 patients were included in the final meta-analysis according to the inclusion and exclusion criteria. In the pooled analysis, high SNHG16 expression significantly predicted worse overall survival (OS) in various cancers (HR = 1.87, 95% CI 1.54–2.26, P < 0.001), and recurrence-free survival (RFS) in bladder cancer (HR = 1.68, 95% CI 1.01–2.79, P = 0.045). Meanwhile, stratified analyses revealed that the survival analysis method, tumor type, sample size, and cut-off value did not alter the predictive value of SNHG16 for OS in cancer patients. In addition, compared to the low SNHG16 expression group, patients with high SNHG16 expression were more prone to worse clinicopathological features, such as larger tumor size, advanced clinical stage, lymph node metastasis (LNM) and distant metastasis (DM). Exploration of TCGA dataset further validated that the upregulated SNHG16 expression predicted unfavorable OS and disease-free survival (DFS) in cancer patients. Conclusions The present study implicated that aberrant expression of lncRNA SNHG16 was strongly associated with clinical survival outcomes in various cancers, and therefore might serve as a promising biomarker for predicting prognosis of human cancers.

scholarly journals Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xuefeng Jiang ◽  
Guijuan Zhang ◽  
Jieyan Wu ◽  
Shujun Lin ◽  
Yusheng Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Breast Cancer Diagnosis ◽  
Predictive Biomarker ◽  
Cochrane Library ◽  
Summary Receiver Operating Characteristic ◽  
Diagnostic Efficacy

Purpose. The detection of long noncoding RNA (lncRNA) is a novel method for breast cancer diagnosis. The purpose of this meta-analysis was to evaluate the clinical significance of lncRNAs in identification of human breast cancer. Methods. Electronic databases, including PubMed (176), EMBASE (167), Cochrane Library (4), Web of Science (273), CNKI (41), VIP (18), and wanfang (21), were searched for relevant original articles. Diagnostic capacity of lncRNAs was assessed by pooled sensitivity and specificity, area under the summary receiver operating characteristic curve (AUC), diagnostic odds ratio (DOR), and subgroup and meta-regression analysis. Stata and Meta-Disc software were used to conduct the meta-analysis. Results. 33 articles including 4500 cases were identified in our meta-analysis. lncRNAs sustained a high diagnostic efficacy; the pooled sensitivity, specificity, AUC, and DOR of lncRNAs in differentiating BC from controls were 0.74 (95% CI: 0.69-0.78), 0.78 (95% CI: 0.72-0.83), 0.82 (95% CI: 0.79-0.85), and 10.01 (95% CI: 7.13-14.06), respectively. The subgroup analysis showed that the diagnostic efficacy of lncRNAs in Asian populations was higher than that in Caucasians; lncRNAs in BC were lower than those in TNBC and were higher in plasma and serum specimens than in tissues. In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. Conclusion. This meta-analysis suggested that lncRNAs might be promising biomarkers for identifying breast cancer, and its clinical application warrants further investigation.

Prognostic Significance of microRNA-221/222 Expression in Cancers: Evidence from 1,204 Subjects

2014 ◽  
Vol 29 (2) ◽  
pp. 129-141 ◽  
Author(s):  
Jin Wang ◽  
Sha Liu ◽  
Guo Ping Sun ◽  
Fang Wang ◽  
Yan Feng Zou ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Published Data ◽  
Cancer Type ◽  
Free Survival ◽  
Patients With Cancer ◽  
Elevated Expression ◽  
Strength Of Association

Background The prognostic significance of the expression of the miR-221/222 family in cancer remains controversial. We here performed a meta-analysis of published data investigating the effects of miR-221/222 expression on both overall survival (OS) and disease-free survival (DFS) among patients with cancer. Methods A systematic search of the PubMed, Embase, Cochrane, and CNKI databases was performed with the last search being updated on March 15, 2013. The hazard ratio (HR) and its 95% confidence interval (95% CI) were used to assess the strength of association. Results A total of 17 studies involving 1,204 subjects were included in this meta-analysis. When assessing the prognostic significance of miR-221 expression, the pooled HR was 1.91 (95% CI: 1.28-2.85, p=0.002) for OS and 1.36 (95% CI: 0.88-2.09, p=0.163) for DFS. When assessing the prognostic significance of miR-222 expression, the pooled HR was 2.15 (95% CI: 1.51-3.06, p<0.0001) for OS and 1.37 (95% CI: 0.45-4.13, p=0.581) for DFS. We also found that an elevated miR-221 expression was significantly associated with poor OS when stratifying by ethnicity, cancer type, statistical methodology, sample, and quality assessment. There was no evidence of publication bias. Conclusion The meta-analysis demonstrates that the elevated expression of miR-221 and miR-222 is associated with poor OS in patients with cancer. The miR-221/222 cluster might be used as a potential therapeutic strategy in clinical practice. More work is required to fully elucidate the role of the miR-221/222 family in human tumors.

scholarly journals Breast Cancer Among Patients Below Age 40: Clinicopathological Features and Survival Results

2020 ◽  
Vol 30 (4) ◽  
pp. 230-237
Author(s):  
BERRIN BENLI YAVUZ
Keyword(s):  
Breast Cancer ◽  
Patient Group ◽  
Tumor Biology ◽  
Age Groups ◽  
Disease Free Survival ◽  
Clinicopathological Features ◽  
Survival Ratio ◽  
Free Survival ◽  
Specific Tumor ◽  
Negative Effect

Among young women breast cancer exhibits quite a heterogenous, quite agressive and complex biology. The purpose of this study is to describe clinicopathological features that affect survival ratio among breast cancer women below age-40. 803 patients having received adjuvant radiotherapy were retrospectively analyzed. Patients were categorized under two groups: age ≤ 40 and age > 40. Treatments and clinicopathological features were analyzed. 19.4% (156) of 803 patients were below age 40. In patient group below age 40, more neoadjuvant chemotherapy (NAC) was administered compared to the patient group above age 40 (p= 0.007) and it was detected that there were higher incidences of stage 3 disease (p= 0.011), more advanced nodal disease (N2-3) (p= 0.046) and more metastasis (p< 0.001). In conducted multivariate analysis for all age groups presence of N2-3 disease (p= 0.011) and in below age-40 group being grad 3 (p= 0.025) was found to affect overall survival (OS) negatively. In disease free survival (DFS)-focused analysis; for all age groups, receiving NAC (p= 0.001), presence of N2-3 disease (p= 0.002) and being below age 40 were found to have a nega- tive effect; in below age-40 group presence of NAC (p= 0.013) and perineural invasion (p= 0.035); in above age-40 group receiving NAC (p= 0.023) and presence of N2-3 disease (p= 0.035) had a negative effect. Being below age 40 is an independent prognostic factor for DFS. It is suggested to conduct further studies on specific tumor biology to analyze the same group with respect to the characteristics of more aggressive tumors. Keywords: Breast cancer, Young age, Prognosis, Survival

scholarly journals Role of TSP-1 as prognostic marker in various cancers: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Shengjie Sun ◽  
Huiyu Dong ◽  
Tao Yan ◽  
Junchen Li ◽  
Chao Liang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Gynecological Cancer ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Poor Overall Survival ◽  
Free Survival ◽  
The Impact

Abstract Background Published studies present conflicting data regarding the impact of Thrombospondin-1 (TSP-1) expression on prognosis of various cancers . We performed this meta-analysis to clarify the preliminary predictive value of TSP-1. Methods Twenty-four studies with a total of 2379 patients were included. A comprehensive literature search was performed by using PubMed, Cochrane Library, Web of Science, Embase, and hand searches were also conducted of relevant bibliographies. Pooled hazard ratio s ( HRs ) with 95% confidence intervals ( CIs ) for patient survival and disease recurrence were initially identified to explore relationships between TSP-1 expression and patient prognosis. Results A total of 24 eligible studies were included in this meta-analysis. Our results showed that high level of TSP-1 was correlated significantly with poor overall survival ( OS ) (HR=1.40, 95% CI: 1.17~1.68). However, high TSP-1 expression predicted no significant impact on progression-free survival ( PFS )/ metastasis-free survival (MFS ) (HR=1.35, 95%CI: 0.87-2.10) and disease-free survival ( DFS )/ recurrence-free survival ( RFS ) (HR = 1.40, 95%CI: 0.77–2.53). In addition, we performed subgroup analyses which showed that high TSP-1 expression predicted poor prognosis in breast cancer and gynecological cancer. Conclusions Our findings indicated high TSP-1 expression may serve as a promising biomarker of poor prognosis and novel therapeutic target in cancers, especially in breast cancer and gynecological cancer.

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