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Disease Markers 2015Increasing studies found that miR-126 expression may be associated with the prognosis of cancers. Here, we performed a meta-analysis to assess the prognostic role of... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Increasing studies found that miR-126 expression may be associated with the prognosis of cancers. Here, we performed a meta-analysis to assess the prognostic role of miR-126 in different cancers.
METHODS
Eligible studies were identified by searching in PubMed, Embase, the Cochrane Library, CNKI, and Wan Fang databases up to March 2015. Pooled hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs) were calculated to investigate the correlation between miR-126 and survival of cancers.
RESULTS
Thirty studies including a total of 4497 participants were enrolled in this meta-analysis. The pooled results showed that high level of miR-126 was a predictor for favorable survival of carcinomas, with pooled HR of 0.77 (95% CI 0.64-0.93) for OS, 0.64 (95%CI 0.48-0.85) for DFS, and 0.70 (95% CI 0.50-0.98) for PFS/RFS/DSS. However, high level of circulating miR-126 predicted a significantly worse OS in patients with cancer (HR = 1.65, 95% CI 1.09-2.51).
CONCLUSIONS
Our results indicated that miR-126 could act as a significant biomarker in the prognosis of various cancers.
Topics: Biomarkers, Tumor; Humans; MicroRNAs; Neoplasms
PubMed: 26351404
DOI: 10.1155/2015/739469 -
Gastric Cancer and Circulating microRNAs: An Updated Systematic Review and Diagnostic Meta-Analysis.Current Medicinal Chemistry 2023Circulating microRNAs (miRNAs, miRs) are now used as noninvasive diagnostic indicators in various malignancies. (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Circulating microRNAs (miRNAs, miRs) are now used as noninvasive diagnostic indicators in various malignancies.
OBJECTIVE
Our objective is to use a meta-analysis to assess the diagnostic performance of circulating miRNAs in gastric cancer.
METHODS
We reviewed databases and methodically obtained papers for analysis until October 15th, 2021. The random-effect meta-analysis was performed to construct pooled diagnostic parameters. To detect the causes of heterogeneity, spearman threshold effect analysis and subgroup analysis were performed. The I and Chi-square tests were also used to examine the heterogeneity. The subgroup analyses were conducted based on sample types (serum/plasma/blood), normalized genes (U6, miR-16, and miR-39), qPCR mastermix (SYBR and Taqman), and country. Finally, the publication bias was estimated using Egger's funnel plot asymmetry test.
RESULTS
A total of 40 articles covering 73 studies (59 microRNAs) were included, containing 11,022 participants (6,324 cases and 4,698 controls). The overall pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were 0.75 (95% CI: 0.74-0.77), 0.79 (95% CI: 0.78-0.80), 4.081 (95% CI: 3.43-4.85), 0.28 (95% CI: 0.25-0.32), 16.08 (95% CI: 12.34-20.95), and 0.877 (CI: 0.84-0.90), respectively. We conducted a subgroup analysis of diagnostic values, which revealed that serum type, U6 reference gene, SYBR mastermix, and East Asian Countries (China and Japan) had better diagnostic value.
CONCLUSION
Circulating miRs can serve as diagnostic biomarkers for gastric cancer. However, specific miRNAs still need to be discovered in diagnosing gastric cancer, especially early screening.
Topics: Humans; Biomarkers, Tumor; China; Circulating MicroRNA; MicroRNAs; Sensitivity and Specificity; Stomach Neoplasms
PubMed: 36411580
DOI: 10.2174/0929867330666221121155905 -
European Journal of Medical Research Mar 2023Glaucoma is a chronic neurodegenerative process of the optic nerve that is the leading cause of blindness worldwide, and early diagnosis of the disease could greatly... (Meta-Analysis)
Meta-Analysis Review
Glaucoma is a chronic neurodegenerative process of the optic nerve that is the leading cause of blindness worldwide, and early diagnosis of the disease could greatly affect patients' prognoses. The pathophysiology of glaucoma is complicated by a combination of genetic and epigenetic factors. Deciphering the early diagnostic biomarkers in glaucoma could attenuate the disease's global burden and help us understand the exact mechanisms involved in glaucoma. The microRNAs are members of a larger family of non-coding RNAs that play an essential role in the epigenetic basis of glaucoma. A systematic study and meta-analysis of diagnostic microRNAs in glaucoma, jointly with network analysis of target genes, were carried out on published papers assessing differentially expressed microRNAs in human subjects. In total, 321 articles were found, and, after screening, six studies were eligible for further analysis. 52 differentially expressed microRNAs were found, of which 28 and 24 were up-regulated and down-regulated, respectively. Only 12 microRNAs were qualified for meta-analysis, with overall sensitivity and specificity of 80% and 74%, respectively. Then, using network analysis, it became apparent that the VEGF-A, AKT1, CXCL12, and HRAS genes were the most important targets for the microRNAs. Perturbations in WNT signaling, protein transport, and extracellular matrix organization pathways were discovered to be important in the etiology of glaucoma using the community detection approach. This study tries to uncover the promising microRNAs and their target genes that govern the epigenetics of glaucoma.
Topics: Humans; MicroRNAs; Glaucoma; Prognosis; Early Diagnosis
PubMed: 36973823
DOI: 10.1186/s40001-023-01093-8 -
Journal of Cellular Physiology Feb 2016Because early-stage hepatocellular carcinoma (HCC) is difficult to diagnose using the existing techniques, identifying better biomarkers would likely improve the... (Meta-Analysis)
Meta-Analysis Review
Because early-stage hepatocellular carcinoma (HCC) is difficult to diagnose using the existing techniques, identifying better biomarkers would likely improve the patients' prognoses. We performed a systematic review and meta-analysis of published studies to appraise the utility of microRNAs (miRNAs) for the early diagnosis of HCC. Pertinent literature was collected from the Medline, Embase, and Chinese National Knowledge Infrastructure databases. We analyzed 50 studies that included 3423 cases of HCC, 2403 chronic hepatic disease (CH) patients, and 1887 healthy controls in 16 articles. Summary receiver operating characteristic analyses of all miRNAs showed an area under the curve (AUC) of 0.82, with 75.8% sensitivity and 75.0% specificity in discriminating patients with HCC from healthy controls. miR-21 and miR-122 individually distinguished patients with HCC from healthy controls, with an AUC of 0.88 for miR-21 and 0.77 for miR-122. The sensitivity and specificity for miR-21 were 86.6% and 79.5%, respectively, those for miR-122 were 68.0% and 73.3%. We conclude that circulating miRNAs, particularly miR-21, and miR-122, are promising biomarkers for the early diagnosis of HCC.
Topics: Biomarkers, Tumor; Carcinoma, Hepatocellular; Case-Control Studies; Early Diagnosis; Humans; Liver Neoplasms; MicroRNAs; Predictive Value of Tests; RNA, Neoplasm
PubMed: 26291451
DOI: 10.1002/jcp.25135 -
Disease Markers 2019Some studies showed that microRNA-497 (miR-497) might act as a prognostic biomarker of cancer. However, the conclusion was not consistent. The aim of this study was to... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Some studies showed that microRNA-497 (miR-497) might act as a prognostic biomarker of cancer. However, the conclusion was not consistent. The aim of this study was to investigate the prognostic role of miR-497 in various carcinomas.
METHODS
We systematically searched the databases of PubMed, Embase, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wanfang Data to identify relevant studies. Two independent reviewers performed the data extraction and assessed the study quality. Hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) for overall survival (OS) and disease-free survival/relapse-free survival (DFS/RFS) were used to assess the associations between miR-497 expression and cancer prognosis.
RESULTS
A total of 15 studies involving 1760 participants fulfilled the inclusion criteria. The lower level of miR-497 expression was significantly associated with shorter overall survival (HR = 2.19, 95% CI: 1.84-2.60). No significant association was found between miR-497 expression and DFS/RFS in various carcinomas (HR = 1.17, 95% CI: 0.53-2.57). Subgroup analyses by ethnicity and cancer type showed the consistent results.
CONCLUSION
Our studies suggested that miR-497 might be a prognostic biomarker in cancers. However, further multicenter prospective clinical researches are needed to confirm the association between miR-497 expression and cancer prognosis.
Topics: Biomarkers, Tumor; Humans; MicroRNAs; Neoplasms
PubMed: 31191744
DOI: 10.1155/2019/2491291 -
Frontiers in Endocrinology 2022Gestational diabetes (GDM) is associated with increased risk for preterm birth and related complications for both the pregnant person and newborn. Changes in gene...
PURPOSE
Gestational diabetes (GDM) is associated with increased risk for preterm birth and related complications for both the pregnant person and newborn. Changes in gene expression have the potential to characterize complex interactions between genetic and behavioral/environmental risk factors for GDM. Our goal was to summarize the state of the science about changes in gene expression and GDM.
DESIGN
The systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
METHODS
PubMed articles about humans, in English, from any date were included if they described mRNA transcriptome or microRNA findings from blood samples in adults with GDM compared with adults without GDM.
RESULTS
Sixteen articles were found representing 1355 adults (n=674 with GDM, n=681 controls) from 12 countries. Three studies reported transcriptome results and thirteen reported microRNA findings. Identified pathways described various aspects of diabetes pathogenesis, including glucose and insulin signaling, regulation, and transport; natural killer cell mediated cytotoxicity; and fatty acid biosynthesis and metabolism. Studies described 135 unique miRNAs that were associated with GDM, of which eight (miR-16-5p, miR-17-5p, miR-20a-5p, miR-29a-3p, miR-195-5p, miR-222-3p, miR-210-3p, and miR-342-3p) were described in 2 or more studies. Findings suggest that miRNA levels vary based on the time in pregnancy when GDM develops, the time point at which they were measured, sex assigned at birth of the offspring, and both the pre-pregnancy and gestational body mass index of the pregnant person.
CONCLUSIONS
The mRNA, miRNA, gene targets, and pathways identified in this review contribute to our understanding of GDM pathogenesis; however, further research is warranted to validate previous findings. In particular, longitudinal repeated-measures designs are needed that control for participant characteristics (e.g., weight), use standardized data collection methods and analysis tools, and are sufficiently powered to detect differences between subgroups. Findings may be used to improve early diagnosis, prevention, medication choice and/or clinical treatment of patients with GDM.
Topics: Adult; Female; Humans; Pregnancy; Diabetes, Gestational; MicroRNAs; Premature Birth; Signal Transduction; Transcriptome
PubMed: 36704034
DOI: 10.3389/fendo.2022.971354 -
Biomolecules May 2023In this study, we conducted a systematic review and meta-analysis to summarize and evaluate the global research potential of different circulating miRNAs as an early... (Meta-Analysis)
Meta-Analysis Review
In this study, we conducted a systematic review and meta-analysis to summarize and evaluate the global research potential of different circulating miRNAs as an early diagnostic biomarker for OC. A systematic literature search for relevant studies was conducted in June 2020 and followed up in November 2021. The search was conducted in English databases (PubMed, ScienceDirect). The primary search resulted in a total of 1887 articles, which were screened according to the prior established inclusion and exclusion criteria. We identified 44 relevant studies, of which 22 were eligible for the quantitative meta-analysis. Statistical analysis was performed using the Meta-package in Rstudio. Standardized mean differences (SMD) of relative levels between control subjects and OC patients were used to evaluate the differential expression. All studies were quality evaluated using a Newcastle-Ottawa Scale. Based on the meta-analysis, nine miRNAs were identified as dysregulated in OC patients compared to controls. Nine were upregulated in OC patients compared to controls (miR-21, -125, -141, -145, -205, -328, -200a, -200b, -200c). Furthermore, miR-26, -93, -106 and -200a were analyzed, but did not present an overall significant difference between OC patients and controls. These observations should be considered when performing future studies of circulating miRNAs in relation to OC: sufficient size of clinical cohorts, development of consensus guidelines for circulating miRNA measurements, and coverage of previously reported miRNAs.
Topics: Humans; Female; Circulating MicroRNA; Biomarkers, Tumor; Ovarian Neoplasms; MicroRNAs; Early Diagnosis
PubMed: 37238740
DOI: 10.3390/biom13050871 -
BMC Cancer Feb 2018Lung cancer is the second most common cancer and the leading cause of cancer death for both men and women. Although low-dose CT (LDCT) is recommended for lung cancer... (Review)
Review
BACKGROUND
Lung cancer is the second most common cancer and the leading cause of cancer death for both men and women. Although low-dose CT (LDCT) is recommended for lung cancer screening in high-risk populations and may decrease lung cancer mortality, there is a need to improve the accuracy of lung cancer screening to decrease over-diagnosis and morbidity. Blood and serum-based biomarkers, including EarlyCDT-lung and microRNA based biomarkers, are promising adjuncts to LDCT in lung cancer screening. We evaluated the diagnostic performance of EarlyCDT-lung, micro-RNA signature classifier (MSC), and miR-test, and their impact on lung cancer-related mortality and all-cause mortality.
METHODS
References were identified using searches of PubMed, EMBASE, and Ovid Medline® from January 2000 to November 2015. Phase three or greater studies in the English language evaluating the diagnostic performance of EarlyCDT-lung, MSC, and miR-test were selected for inclusion.
RESULTS
Three phase 3 studies were identified, one evaluating EarlyCDT-lung, one evaluating miR-Test, and one evaluating MSC respectively. No phase 4 or 5 studies were identified. All three biomarker assays show promise for the detection of lung cancer. MSC shows promise when used in conjunction with LDCT for lung cancer detection, achieving a positive likelihood ratio of 18.6 if both LDCT and MSC are positive, and a negative likelihood ratio of 0.03 if both LDCT and MSC are negative. However, there is a paucity of high-quality studies that can guide clinical implementation.
CONCLUSIONS
There is currently no high quality evidence to support or guide the implementation of these biomarkers in clinical practice. Reports of further research at stages four and five for these, and other promising methods, is required.
Topics: Biomarkers, Tumor; Early Detection of Cancer; Genetic Testing; Humans; Lung Neoplasms; Mass Screening; MicroRNAs; Reproducibility of Results; Sensitivity and Specificity
PubMed: 29439651
DOI: 10.1186/s12885-018-4024-3 -
International Journal of Molecular... Dec 2022Stroke accounts for the second leading cause of death and a major cause of disability, with limited therapeutic strategy in both the acute and chronic phases.... (Meta-Analysis)
Meta-Analysis Review
Stroke accounts for the second leading cause of death and a major cause of disability, with limited therapeutic strategy in both the acute and chronic phases. Blood-based biomarkers are intensively researched and widely recognized as useful tools to predict the prognoses of patients confronted with therapeutically limited diseases. We performed a systematic review of the circulating biomarkers in IS patients with prognostic value, with a focus on microRNAs and exosomes as predictive biomarkers of motor and cognitive recovery. We identified 63 studies, totalizing 72 circulating biomarkers with prognostic value in stroke recovery, as follows: 68 miRNAs and exosomal-miRNAs being identified as predictive for motor recovery after stroke, and seven biomarkers being predictive for cognitive recovery. Twelve meta-analyses were performed using effect sizes (random-effects and fixed-effects model). The most significant correlation findings obtained after pooling were with miR-21, miR-29b, miR-125b-5p, miR-126, and miR-335. We identified several miRNAs that were correlated with clinical outcomes of stroke severity and recovery after ischemic stroke, providing predictive information on motor and cognitive recovery. Based on the current state of research, we identified serum miR-9 and neutrophil miR-29b as the most promising biomarkers for in-depth follow-up studies, followed by serum miR-124 and plasma miR-125b.
Topics: Humans; Circulating MicroRNA; Ischemic Stroke; MicroRNAs; Stroke; Biomarkers; Exosomes
PubMed: 36613694
DOI: 10.3390/ijms24010251 -
Vascular Pharmacology Dec 2021Pro-angiogenic microRNA modulation is a potentially attractive approach in the management of peripheral artery disease (PAD). The aim of this systematic review and... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Pro-angiogenic microRNA modulation is a potentially attractive approach in the management of peripheral artery disease (PAD). The aim of this systematic review and meta-analysis was to examine the impact of microRNAs involved in the process of angiogenesis on blood flow recovery following hind limb ischemia induction in animal models.
METHODS
A literature search was performed to identify studies testing the efficacy of microRNA treatment on animal models of hind limb ischemia. Following that, a meta-analysis of the included studies was executed with the primary outcome being the change in ischemic-to-normal hind limb perfusion ratio assessed via laser Doppler imaging. Moreover, risk of bias, sensitivity analysis and publication bias were evaluated.
RESULTS
Studies evaluation led to the inclusion of 18 studies whose meta-analysis suggested that microRNA treatment resulted in improved ischemic hind limb perfusion 7 [standardized mean difference (SMD): 0.93, 95% CI 0.49-1.38], 14 (SMD: 1.31, 95% CI 0.78-1.84), and 21 days (SMD: 1.13, 95% CI 0.59-1.66) after hind limb ischemia induction. Moderate-to-substantial heterogeneity and possible publication bias were noted. Risk of bias was unclear despite the balanced baseline animal characteristics.
CONCLUSION
The present meta-analysis suggests that pro-angiogenic modulation of microRNAs accelerates vascular perfusion recovery in animal models of acute hind limb ischemia. Further studies on animal models with similar characteristics to that of PAD patients are warranted to translate those findings in human PAD setting.
Topics: Animals; Disease Models, Animal; Hindlimb; Humans; Ischemia; MicroRNAs; Muscle, Skeletal; Neovascularization, Physiologic; Peripheral Arterial Disease; Regional Blood Flow
PubMed: 34509635
DOI: 10.1016/j.vph.2021.106906