Diagnostic performance of circulating exosomes in human cancer: A meta-analysis.
Most cancers has change into a public well being drawback with excessive morbidity and mortality. Latest publications have proven that exosomes can be utilized as potential diagnostic biomarkers of most cancers. Nevertheless, the diagnostic accuracy and reliability of circulating exosomes stay unclear.
The current meta-analysis was carried out to comprehensively summarize the general diagnostic efficiency of circulating exosomes for most cancers.Eligible research revealed as much as June 27, 2019, on PubMed, Embase, and Cochrane Library had been chosen for the meta-analysis.
All statistical analyses had been carried out by STATA 15.1 statistical software program and Meta-DiSc 1.4. High quality Evaluation for Research of Diagnostic Accuracy 2 software was used to entry the standard of included research. A bivariate mixed-effects mannequin was utilized to calculate the diagnostic indexes from included research.
A complete of 5924 individuals comprising 3161 instances and 2763 controls from 42 eligible research had been analyzed. The pooled sensitivity, specificity, constructive probability ratio, adverse probability ratio, diagnostic odds ratio, and the world below the curve with 95% confidence intervals (95% CI) had been as follows: 0.79 (0.75-0.82), 0.81 (0.78-0.84), 4.1 (3.5-4.8), 0.26 (0.22-0.31), 16 (12-21), and 0.87 (0.84-0.89), respectively. Sensitivity evaluation recommended no research solely contributed to the heterogeneity, and Deeks’ funnel plot asymmetry check indicated no potential publication bias (P = .09).The meta-analysis indicated that circulating exosomes might function efficient and minimally invasive biomarkers for prognosis of most cancers, particularly in sufferers with hepatocellular carcinoma or ovarian most cancers, serum-based samples and exosomal proteins.
Scientometric evaluation of mTOR signaling pathway in liver illness.
The mTOR pathway is significant for homeostasis, metabolism, most cancers transplantation and regeneration within the liver. The intention of this research is to make use of a bibliometric technique to disclose present analysis hotspots and promising future developments in mTOR signaling in liver illnesses. Publications had been searched and downloaded from the Internet of Science Core Assortment (WOSCC) Database.
CiteSpace, Carrot2, and VOSviewer packages had been utilized to research the contribution of varied international locations/areas, institutes, and authors; and to disclose analysis hotspots and promising future developments on this analysis space.Till Might 21, 2019, a complete of two,232 papers relating to mTOR signaling pathway in liver illness had been included, and every paper was cited 23.21 occasions on common.
Probably the most energetic nation was the USA. 5 landmark articles with centrality and burstiness had been decided by co-citation evaluation. Analysis hotspots included “liver transplantation” “hepatic stellate cell proliferation” “NAFLD” “remedy of HCC”.
Furthermore, six key clusters had been found throughout the process of “clustering”, together with “liver transplantation” “protein synthesis” “mTOR inhibitor” “following early cyclosporine withdrawal” “srebp-1 activation”, and “hepatocellular most cancers”.
Varied scientific strategies had been utilized to disclose scientific productiveness, collaboration, and analysis hotspots within the mTOR signaling pathway in liver illness. Liver transplantation, hepatic stellate cell proliferation, non-alcoholic fatty liver illness (NAFLD), remedy of hepatocellular carcinoma (HCC), cell development and autophagy, are analysis hotspots and are prone to be promising within the subsequent few years. Additional research on this discipline are wanted.
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- body weight and body mass index on patients with hypercholesterolemia: a systematic review and meta-analysis.
- Cotranslational protein-RNA associations predict protein-protein interactions.
- Diagnostic performance of circulating exosomes in human cancer: A meta-analysis.
- Effects of plant protein and animal protein on lipid profile
- Predicting protein-protein binding sites in membrane proteins.
- protein-RNA and protein-ligand interactions.
- The functions of CAP superfamily proteins in mammalian fertility and disease.
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