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 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 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 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

Abstract P111: Comparative Efficacy Of Bisoprolol Compared To Other Selective Beta-1 Blockers In Patients With Hypertension - A Systematic Review And Meta-analysis Of Observational Studies

Hypertension ◽  
2021 ◽  
Vol 78 (Suppl_1) ◽  
Author(s):  
Uday M Jadhav ◽  
Tiny Nair ◽  
SANDEEP BANSAL ◽  
Saumitra Ray
Keyword(s):  
Lipid Profile ◽  
Observational Studies ◽  
Clinical Decision Making ◽  
Meta Analysis ◽  
Hdl Cholesterol ◽  
Clinical Decision ◽  
Cochrane Library ◽  
Favourable Effect ◽  
Pooled Data ◽  
Cholesterol Levels

Introduction: Selective beta-1 blockers (s-BBs) are used in the management of hypertension (HT) in specific subsets. Studies comparing the potency of blood pressure (BP) lowering with different s-BBs are sparse. The objective of this meta-analysis was to evaluate the efficacy of bisoprolol compared to other s-BBs (Atenolol, Betaxolol, Esmolol, Acebutolol, Metoprolol, Nebivolol) in HT patients by examining their effect on BP, heart rate (HR) and metabolic derangements, by examining the evidences reported in observational studies. Methods: Electronic databases like PubMed, EMBASE, Cochrane Library, Clinicaltrials.gov, Surveillance, Epidemiology and End Results Program and 12 PV databases were systematically searched from inception to October 2019. Observational studies that compared bisoprolol with other s-BBs in patients with HT were evaluated in accordance with the PRISMA guidelines. Pooled data were calculated using random-effects model for meta-analysis in terms of mean difference (MD) and 95% confidence interval (95% CI) for each outcome. Outcomes of interest were BP, HR and lipid profile. Results: Four observational studies which compared bisoprolol with other s-BBs (nebivolol and atenolol) were included in this meta-analysis. Significant reduction was observed in office diastolic BP [MD: -1.70; 95% CI: -2.68,-0.72; P <0.01] among arterial HT patients treated with bisoprolol for 26 weeks (w) compared to those treated with other s-BBs. HT patients treated with bisoprolol for 26 w showed significant reduction in HR [MD: -2.20; 95% CI: -3.57,-0.65; P <0.01] and office HR [MD: -2.55; 95% CI: -3.57,-1.53; P <0.01] than other s-BBs. HDL cholesterol levels increased significantly in essential HT patients treated with bisoprolol at 26 w [MD: 7.17; 95% CI: 1.90,12.45; P <0.01], 78 w [MD: 11.70; 95% CI: 4.49,18.91; P <0.01] and 104 w [MD: 10.20, 95% CI: 4.49,18.91; P <0.01] compared to other s-BBs. Conclusion: Our results suggests that bisoprolol is superior to other s-BBs in reducing BP and HR. Bisoprolol also had a favourable effect on lipid profile shown by increase in HDL cholesterol. This meta-analysis emphasizes the efficacy of bisoprolol over other s-BBs, which aids clinical decision making in treatment of patients with HT.

A meta-analysis of confidence and judgment accuracy in clinical decision making.

2015 ◽  
Vol 62 (4) ◽  
pp. 553-567 ◽  
Author(s):  
Deborah J. Miller ◽  
Elliot S. Spengler ◽  
Paul M. Spengler
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Meta Analysis ◽  
Clinical Decision ◽  
Judgment Accuracy

scholarly journals Decoding Clinical Biomarker Space of COVID-19: Exploring Matrix Factorization-based Feature Selection Methods

2021 ◽  
Author(s):  
Farshad Saberi-Movahed ◽  
Mahyar Mohammadifard ◽  
Adel Mehrpooya ◽  
Mohammad Rezaei-Ravari ◽  
Kamal Berahmand ◽  
...  
Keyword(s):  
Feature Selection ◽  
Poor Prognosis ◽  
Clinical Decision Making ◽  
Unmet Need ◽  
Clinical Decision ◽  
Clinical Indicators ◽  
Arterial Blood Gas ◽  
Clinical Biomarkers ◽  
Arterial Blood ◽  
Global Pandemic

One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients' characteristics are usually utilized to identify those patients who need more critical care. However, the clinical evidence shows an unmet need to determine more accurate and optimal clinical biomarkers to triage patients under a condition like the COVID-19 crisis. Here we have presented a machine learning approach to find a group of clinical indicators from the blood tests of a set of COVID-19 patients that are predictive of poor prognosis and morbidity. Our approach consists of two interconnected schemes: Feature Selection and Prognosis Classification. The former is based on different Ma- trix Factorization (MF)-based methods, and the latter is performed using Random Forest algorithm. Our model reveals that Arterial Blood Gas (ABG) O2 Saturation and C-Reactive Protein (CRP) are the most important clinical biomarkers determining the poor prognosis in these patients. Our approach paves the path of building quantitative and optimized clinical management systems for COVID-19 and similar diseases.

scholarly journals Oncogenic Role of Exosomal Circular and Long Noncoding RNAs in Gastrointestinal Cancers

2022 ◽  
Vol 23 (2) ◽  
pp. 930
Author(s):  
Ba Da Yun ◽  
Ye Ji Choi ◽  
Seung Wan Son ◽  
Gabriel Adelman Cipolla ◽  
Fernanda Costa Brandão Berti ◽  
...  
Keyword(s):  
Epithelial To Mesenchymal Transition ◽  
Cell Communication ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Circular Rnas ◽  
Gastrointestinal Cancers ◽  
Gastrointestinal Malignancies ◽  
Mesenchymal Transition ◽  
Novel Therapeutic Strategies

Circular RNAs (circRNAs) and long noncoding RNAs (lncRNAs) are differentially expressed in gastrointestinal cancers. These noncoding RNAs (ncRNAs) regulate a variety of cellular activities by physically interacting with microRNAs and proteins and altering their activity. It has also been suggested that exosomes encapsulate circRNAs and lncRNAs in cancer cells. Exosomes are then discharged into the extracellular environment, where they are taken up by other cells. As a result, exosomal ncRNA cargo is critical for cell–cell communication within the cancer microenvironment. Exosomal ncRNAs can regulate a range of events, such as angiogenesis, metastasis, immune evasion, drug resistance, and epithelial-to-mesenchymal transition. To set the groundwork for developing novel therapeutic strategies against gastrointestinal malignancies, a thorough understanding of circRNAs and lncRNAs is required. In this review, we discuss the function and intrinsic features of oncogenic circRNAs and lncRNAs that are enriched within exosomes.

scholarly journals Tissue inhibitor of metalloproteinase-1 (TIMP-1) as a prognostic biomarker in gastrointestinal cancer: a meta-analysis

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10859
Author(s):  
Lili Qin ◽  
Yueqi Wang ◽  
Na Yang ◽  
Yangyu Zhang ◽  
Tianye Zhao ◽  
...  
Keyword(s):  
Systematic Reviews ◽  
Gastrointestinal Cancer ◽  
Fixed Effects ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Tissue Inhibitor Of Metalloproteinase ◽  
Cochrane Library ◽  
Fixed Effects Model ◽  
Tissue Inhibitor ◽  
Pretreatment Serum

Background Tissue inhibitor of metalloproteinase 1 (TIMP-1) has recently been shown to be dependent on or independent of Matrix metalloproteinases (MMPs) in its roles in tumorigenesis and progression. This appreciation has prompted various studies assessing the prognostic value of TIMP-1 in patients with gastrointestinal cancer, however, the conclusions were still inconsistent. The aim of this study was to assess the prognostic value of TIMP-1-immunohistochemistry (IHC) staining and pretreatment serum/plasma TIMP-1 level in gastrointestinal cancer survival as well as the association between TIMP-1 and clinicopathologic features. Methods The meta-analysis was registered in the International Prospective Register of Systematic Reviews (PROSPERO; Registration NO. CRD42020185407) and followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. A highly sensitive literature search was performed in electronic databases including PubMed, EMBASE and the Cochrane Library. Heterogeneity analysis was conducted using both chi-square-based Q statistics and the I2 test. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to assess the prognostic value of TIMP-1 using the fixed-effects model. Odds ratios (ORs) with 95% CIs were calculated to evaluate the associations between TIMP-1 and clinicopathological characteristics. The meta-analysis was conducted using STATA 12.0 software. Results A total of 3,958 patients from twenty-two studies were included in the meta-analysis. Elevated TIMP-1 levels were significantly associated with poor survival in gastrointestinal cancer (TIMP-1-IHC staining: HR = 2.04, 95% CI [1.59–2.61], I2 = 35.7%, PQ = 0.156; pretreatment serum/plasma TIMP-1 levels: HR = 2.02, 95% CI [1.80–2.28], I2 = 0%, PQ = 0.630). Moreover, clinicopathological parameter data analysis showed that elevated TIMP-1 levels were significantly associated with lymph node metastasis (N1/N2/N3 vs N0: OR = 2.92, 95% CI [1.95–4.38]) and higher TNM stages (III/IV vs I/II: OR = 2.73, 95% CI [1.23–6.04]). Conclusion Both TIMP-1-positive IHC staining and high serum/plasma TIMP-1 levels are poor prognostic factors for the survival of gastrointestinal cancer. In addition, TIMP-1 overexpression was correlated with more advanced clinicopathological features.

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

P1858Meta-analysis of performance of risks scores for predicting outcomes after percutaneous Mitraclip implantation

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T K M Wang ◽  
M T M Wang
Keyword(s):  
Confidence Interval ◽  
Risk Stratification ◽  
Clinical Decision Making ◽  
Operative Mortality ◽  
Data Extraction ◽  
Meta Analysis ◽  
Critical Role ◽  
Clinical Decision ◽  
Risk Scores ◽  
Sts Score

Abstract Background The Mitraclip is the most established percutaneous mitral valve intervention indicated for severe mitral regurgitation at high or prohibitive surgical risk. Risk stratification plays a critical role in selecting the appropriate treatment modality in high risk valve disease patients but have been rarely studied in this setting. We compared the performance of risk scores at predicting mortality after Mitraclip in this meta-analysis. Methods MEDLINE, Embase and Cochrane databases from 1 January 1980 to 31 December 2018 were searched. Two authors reviewed studies which reported c-statistics of risk models to predict mortality after Mitraclip for inclusion, followed by data extraction and pooled analyses. Results Amongst 494 articles searched, 47 full-text articles were evaluated, and 4 studies totalling 879 Mitraclip cases were included for analyses. Operative mortality was reported at 3.3–7.4% in three studies, and 1-year mortality 11.2%-13.5% in two studies. C-statistics (95% confidence interval) for operative mortality were EuroSCORE 0.66 (0.57–0.75), EuroSCORE II 0.72 (0.60–0.85) and STS Score 0.64 (0.56–0.73). Respective Peto's odds ratios (95% confidence interval) to assess calibration were EuroSCORE 0.21 (0.14–0.31), EuroSCORE II 0.43 (0.24–0.76) and STS Score 0.36 (0.21–0.61). C-statistics (95% confidence interval) for 1-year mortality were EuroSCORE II 0.64 (0.57–0.70) and STS Score (0.58–0.64). Conclusion All scores over-estimated operative mortality, and EuroSCORE II had the best moderate discrimination while the other two scores were only modestly prognostic. Development of Mitraclip-specific scores may improve accuracy of risk stratification for this procedure to guide clinical decision-making.

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