scholarly journals Prognostic Value of MicroRNA-497 in Various Cancers: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Zhiqiang Liu ◽  
Shanshan Wu ◽  
Lei Wang ◽  
Shuling Kang ◽  
Bixing Zhao ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Biomarker ◽  
Data Extraction ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Cancer Type ◽  
Free Survival ◽  
Knowledge Infrastructure ◽  
Hazard Ratios

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.

scholarly journals Prognostic value of pretreatment prognostic nutritional index in non-small cell lung cancer: A systematic review and meta-analysis

2018 ◽  
Vol 33 (4) ◽  
pp. 372-378 ◽  
Author(s):  
Yuanyuan Hu ◽  
Jie Shen ◽  
RuiKe Liu ◽  
ZhiMei Feng ◽  
ChangNing Zhang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Prognostic Nutritional Index ◽  
Progression Free Survival ◽  
Free Survival ◽  
Nutritional Index ◽  
Nsclc Patients ◽  
Disease Free

Background: The pretreatment prognostic nutritional index has been considered a potential prognostic biomarker in patients with non-small cell lung cancer (NSCLC), but this remains controversial. Therefore, we performed a meta-analysis to systematically assess the prognostic value of the prognostic nutritional index in patients with NSCLC. Methods: We systematically searched PubMed, EMBASE, Web of Science, and CNKI. The hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were used to evaluate the link between the prognostic nutritional index and the oncological outcomes of patients with NSCLC, including overall survival, disease-free survival/recurrence-free survival, and progression-free survival. Results: Fifteen studies were included in this meta-analysis. Twelve of these studies explored the association between the prognostic nutritional index and the overall survival of patients with NSCLC. Our pooled analysis indicated that a low prognostic nutritional index was significantly related to adverse overall survival (HR 1.61; 95% CI 1.44, 1.81; P < 0.001). Our results also showed that the prognostic nutritional index was a negative predictor for disease-free survival/recurrence-free survival, and progression-free survival in patients with NSCLC. Conclusion: Our meta-analysis demonstrated that there was a close association between the prognostic nutritional index value and prognosis in NSCLC patients and that the prognostic nutritional index may act as a useful prognostic biomarker in NSCLC patients.

scholarly journals Correlation between miR-200 Family Overexpression and Cancer Prognosis

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Wen Liu ◽  
Kaiping Zhang ◽  
Pengfei Wei ◽  
Yue Hu ◽  
Yaqin Peng ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Convincing Evidence ◽  
Test Method ◽  
Cancer Prognosis ◽  
Cochrane Library ◽  
Cancer Type ◽  
China National Knowledge Infrastructure ◽  
Free Survival

The correlation between miR-200 family overexpression and cancer prognosis remains controversial. Therefore, we conducted a systematic review and meta-analysis by searching PubMed, Embase, Cochrane Library, China Biology Medicine disc (CBM), and China National Knowledge Infrastructure (CNKI) to identify eligible studies. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to evaluate the strength of the correlations. Additionally, different subgroup analyses and publication bias test were performed. Eventually, we analyzed 23 articles that included five tumor types and 3038 patients. Consequently, high expression of miR-200 family in various tumors was associated with unfavorable overall survival (OS) in both univariate (HR=1.32, 95% CI: 1.14–1.54, P<0.001) and multivariate (HR=1.32, 95% CI: 1.16–1.49, P<0.001) analyses. Likewise, a similar result was found in different subgroups of the patient source, cancer type, test method, sample source, miR-200 component, and sample size. However, no association of miR-200 family was detected with recurrence- or relapse-free survival (RFS) (univariate: HR=1.02, 95% CI: 0.96–1.09, P=0.47; multivariate: HR=1.07, 95% CI: 1.00–1.14, P=0.07), progression-free survival (PFS) (univariate: HR=0.96, 95% CI: 0.54–1.70, P=0.88; multivariate: HR=1.17, 95% CI: 0.86–1.61, P=0.32), and disease-free survival (DFS) (univariate: HR=0.90, 95% CI: 0.74–1.09, P=0.29; multivariate: HR=0.98, 95% CI: 0.68–1.41, P=0.90). Our findings have provided convincing evidence that miR-200 family overexpression suggested poor prognosis of various cancer types, which efforts may raise the potential use of miR-200 family for cancer prognosis in clinical practice.

scholarly journals Prognostic Value of MicroRNA-182 in Cancers: A Meta-Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Fei Wang ◽  
Shanliang Zhong ◽  
Haijun Zhang ◽  
Wei Zhang ◽  
Hongming Zhang ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Relapse Free Survival ◽  
Altered Expression ◽  
Free Survival ◽  
Chinese Populations ◽  
Hazard Ratios ◽  
Disease Free

Objective. MicroRNA-182 (miR-182) exhibits altered expression in various cancers. The aim of this study was to investigate the predictive value of miR-182 expression for cancer patient survival.Methods. Eligible studies were identified through multiple search strategies, and the hazard ratios (HRs) for patient outcomes were extracted and estimated. A meta-analysis was performed to evaluate the prognostic value of miR-182.Results. In total, 14 studies were included. A high miR-182 expression level predicted a worse outcome with a pooled HR of 2.18 (95% CI: 1.53–3.11) in ten studies related to overall survival (OS), especially in Chinese populations. The results of seven studies evaluating disease-free survival/relapse-free survival/recurrence-free interval/disease-specific survival (DFS/RFS/RFI/DSS) produced a pooled HR of 1.77 (95% CI: 0.91–3.43), which was not statistically significant; however, the trend was positive. When disregarding the DSS from one study, the expression of miR-182 was significantly correlated with DFS/RFS/RFI (pooled HR = 2.52, 95% CI: 1.67–3.79).Conclusions. High miR-182 expression is associated with poor OS and DFS/RFS/RFI in some types of cancers, and miR-182 may be a useful prognostic biomarker for predicting cancer prognosis. However, given the current insufficient relevant data, further clinical studies are needed.

scholarly journals The Significance of SIX1 as a Prognostic Biomarker for Survival Outcome in Various Cancer Patients: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Guang Zhu ◽  
Ying Liu ◽  
Lei Zhao ◽  
Zhenhua Lin ◽  
Yingshi Piao
Keyword(s):  
Systematic Review ◽  
Overall Survival ◽  
Cancer Patients ◽  
Human Cancer ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cancer Type ◽  
Free Survival ◽  
Cancer Types ◽  
Disease Free

Sine Oculis Homeobox Homolog 1 (SIX1) is reported to promote cancer initiation and progression in many preclinical models and is demonstrated in human cancer tissues. However, the correlation between SIX1 and cancer patients’ prognosis has not yet been systematically evaluated. Therefore, we performed a systematic review and meta-analysis in various human cancer types and extracted some data from TCGA datasets for further verification and perfection. We constructed 27 studies and estimated the association between SIX1 expression in various cancer patients’ overall survival and verified with TCGA datasets. Twenty-seven studies with 4899 patients are include in the analysis of overall, and disease-free survival, most of them were retrospective. The pooled hazard ratios (HRs) for overall and disease-free survival in high SIX1 expression patients were 1.54 (95% CI: 1.32-1.80, P&lt;0.00001) and 1.83 (95% CI: 1.31-2.55, P=0.0004) respectively. On subgroup analysis classified in cancer type, high SIX1 expression was associated with poor overall survival in patients with hepatocellular carcinoma (HR 1.50; 95% CI: 1.17-1.93, P =0.001), breast cancer (HR 1.31; 95% CI: 1.10-1.55, P =0.002) and esophageal squamous cell carcinoma (HR 1.89; 95% CI: 1.42-2.52, P&lt;0.0001). Next, we utilized TCGA online datasets, and the consistent results were verified in various cancer types. SIX1 expression indicated its potential to serve as a cancer biomarker and deliver prognostic information in various cancer patients. More works still need to improve the understandings of SIX1 expression and prognosis in different cancer types.

scholarly journals CHI3L1 Expression is a Prognostic Marker for Patients with Diagnosed Solid Tumors: Evidence from a Systematic Review and Meta-Analysis

2020 ◽  
Author(s):  
jianyuan pan ◽  
Liping Wu ◽  
Shiwu Yin ◽  
Yongqin Tang ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Tissue Expression ◽  
Cancer Prognosis ◽  
Current Evidence ◽  
Free Survival ◽  
Promising Therapeutic Target ◽  
Disease Free

Abstract Background: Accumulating studies have demonstrated YKL-40 associated with the prognosis of several cancers and contributed to the tumor progression through promoting tumor angiogenesis, migration, invasion and metastasis. The objective of this meta-analysis was to investigatethe relationship between YKL-40 and prognosis inpatients with solid tumors and seek for a new prognostic biomarker.Method: Relevant studies were searched in the Medline (PubMed), Web of science, and Embase. Pooled HR of overall survival and disease-free survival (DFS) were calculated to evaluate the strengthof the association between YKL-40 and cancer prognosis by using Stata software 14.0.Results: In total, 30 studies comprising 5160 patients were considered eligible and enrolled into the final meta-analysis. According to the meta-analysis results, higher expression of YKL-40 predicted poorer OS (pooled HR=1.85 CI%=1.58-2.18；P<0.001) and DFS (pooled HR =3.63 95% CI =2.63-5.01; P<0.001).Conclusion: The current evidence suggests that YKL-40 has a predictive effect onsurvival of cancer patients as indexed by DFS and OS. YKL-40 tissue expression is a valuable prognostic biomarker and may be a promising therapeutic target for solid tumors.

scholarly journals Prognostic role of Gli1 expression in solid malignancies: a meta-analysis

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ji Cheng ◽  
Jinbo Gao ◽  
Kaixiong Tao
Keyword(s):  
Overall Survival ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cancer Type ◽  
Intracranial Tumors ◽  
Free Survival ◽  
Over Expression ◽  
Gli1 Expression ◽  
Solid Malignancies ◽  
Disease Free

Abstract Gli1 is a downstream transcriptional factor of Sonic hedgehog pathway in mammalians, and has been recognized as a proliferative indicator of carcinogenesis. However, its actual role in prognosis among solid malignancies remains unclear. Therefore we performed this meta-analysis aiming to discover the correlation between Gli1 positivity and clinical prognosis in patients suffering from diverse carcinomas. A total of 39 studies containing 4496 cases were selected into our quantitative analysis via electronic database search. Original data of 3-year, 5-year, 10-year overall survival and disease-free survival were extracted and calculated using odds ratio and Mantel-Haenszel model. Subgroup analysis was also conducted to clarify the possible confounding factors. P < 0.05 was considered significant in statistics. Gli1 redundancy was associated with worse 3-year, 5-year, 10-year overall survival and disease-free survival in solid malignancies. Different source regions, sample-size, mean-age and detection approaches had no impact on the negative prognostic effect of Gli1 over-expression. Nevertheless, stratified by cancer type and subcellular localization, cytoplasmic Gli1 expression and Gli1 positivity in intracranial tumors was not correlated to poorer 3-year and 5-year prognosis. The over-expression of Gli1 is a credible indicator of poorer prognosis in most of solid malignancies, irrespective of intracranial tumors.

scholarly journals The prognostic significance of microRNA-221 in hepatocellular carcinoma: An updated meta-analysis

2021 ◽  
Vol 36 (2) ◽  
pp. 172460082110326
Author(s):  
Wenfeng Liu ◽  
Keshu Hu ◽  
Feng Zhang ◽  
Shenxin Lu ◽  
Rongxin Chen ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Hazard Ratios ◽  
Disease Free

Background Recently, microRNA-221 has been found to be abnormally expressed in hepatocellular carcinoma; however, its clinical value has not been summarised. This meta-analysis aimed to assess the prognostic significance of miR-221 in hepatocellular carcinoma. Material and Methods PubMed, Science Direct, Web of Science, Scopus, Ovid MEDLINE, EMbase, Google Scholar, the Cochrane Library, CNKI, CBM, VIP and Wanfang databases were searched for eligible articles. The endpoints included overall survival, progression-free survival, recurrence-free survival, metastasis-free survival, disease-free survival. Hazard ratios with 95% confidence intervals were used to explore the relationship between miR-221 expression and clinical survival results of liver cancer patients. Subgroup analysis and sensitivity analysis were performed. Begg’s test and Egger’s test were conducted to evaluate publication bias. Results A total of nine studies including 607 patients were recruited for this meta-analysis. The pooled hazard ratios displayed that high miR-221 expression was remarkably associated with poorer overall survival (hazard ratio = 1.91, 95% confidence interval: 1.53–2.38, p ＜ 0.01) and unfavourable progression-free survival/recurrence-free survival/metastasis-free survival/disease-free survival (hazard ratio = 2.02, 95% confidence interval: 1.58–2.57, p ＜ 0.01). The results of Begg’s test and Egger’s test did not exhibit obvious publication bias. Conclusions High expression of miR-221 can predict poor outcome of hepatocellular carcinoma. miR-221 can be used as a promising prognostic biomarker of hepatocellular carcinoma.

scholarly journals Prognostic and clinicopathological significance of GPRC5A in various cancers: A systematic review and meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0249040
Author(s):  
Lu Dai ◽  
Xiao Jin ◽  
Zheng Liu
Keyword(s):  
Subgroup Analysis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Significant Heterogeneity ◽  
Cancer Type ◽  
Advanced Tumor Stage ◽  
Tumor Type ◽  
Free Survival ◽  
Advanced Tumor

Background GPRC5A is associated with various cancer initiation and progression. Controversial findings have been reported about GPRC5A prognostic characteristics, and no meta-analysis has been conducted to assess the relationship between GPRC5A and cancer prognosis. Therefore, the objective of this meta-analysis is to evaluate the overall prognostic effectiveness of GPRC5A. Methods We first conducted a systematic search in the PubMed, Embase, Web of Science, CNKI, Cochrane, and WangFang databases. The hazard ratio (HR) and odds ratios (OR) with 95% CI were then pooled to assess the associations between GPRC5A expression and overall survival (OS), disease-free survival (DFS), event-free survival (EFS), and clinicopathological characteristics. Chi-squared test and I2 statistics were completed to evaluate the heterogeneity in our study. A random‐effects model was used when significant heterogeneity existed (I2>50% and p<0.05); otherwise, we chose the fixed-effect model. Subgroup analysis was stratified by tumor type, region, HR obtained measurements, and sample capacity to explore the source of heterogeneity. Results In total, 15 studies with 624 patients met inclusion criteria of this study. Our results showed that higher expression of GPRC5A is associated with worse OS (HR:1.69 95%CI: 1.20–2.38 I2 = 75.6% p = 0.000), as well as worse EFS (HR:1.45 95%CI: 1.02–1.95 I2 = 0.0% p = 0.354). Subgroup analysis indicated that tumor type might be the source of high heterogeneity. Additionally, cancer patients with enhanced GPRC5A expression were more likely to lymph node metastasis (OR:1.95, 95%CI 1.33–2.86, I2 = 43.9%, p = 0.129) and advanced tumor stage (OR: 1.83, 95%CI 1.15–2.92, I2 = 61.3%, p = 0.035), but not associated with age, sex, differentiation, and distant metastasis. Conclusion GPRC5A can be a promising candidate for predicting medical outcomes and used for accurate diagnosis, prognosis prediction for patients with cancer; however, the predictive value of GPRC5A varies significantly according to cancer type. Further studies for this mechanism will be necessary to reveal novel insights into application of GPRC5A in cancers.

scholarly journals Prognostic Role of MicroRNA 222 in Patients with Glioma: A Meta-analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Yanlin Song ◽  
Jing Zhang ◽  
Min He ◽  
Jianguo Xu
Keyword(s):  
Overall Survival ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cochrane Library ◽  
Data Sets ◽  
Prognostic Role ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Hazard Ratios

Background. Several studies have focused on the prognostic role of microRNA 222 in glioma. But different conclusions were drawn by these studies. We aimed to systematically evaluate the role of microRNA 222 in glioma by conducting a meta-analysis. Methods. A systematic literature search until January 2020 was conducted in Web of Science, EMBASE, Cochrane Library, PubMed, and China National Knowledge Infrastructure. The general characteristics and relevant data of nine articles were extracted. Hazard ratios (HRs) with 95% confidence intervals (CIs) were applied to evaluate the prognostic role of microRNA 222 in glioma. The primary outcomes were overall survival (OS) and disease-free survival (DFS). Results. Nine articles (11 data sets) with 1564 patients were included. We systematically evaluated the role of microRNA 222 for OS and DFS in glioma patients (HR for OS=1.72; 95% CI, 1.31-2.26; p=0.001; HR for DFS=1.02; 95% CI, 0.86-1.22; p=0.032). Subgroup analyses were performed according to the sources of patients, the types of the samples, the stages of the tumors, the methods for detecting the microRNA 222, and the sample size. No significant publication bias was found. Conclusion. In conclusion, our study provided evidence that a high expression of microRNA 222 was related to worse overall survival in glioma patients. However, given the limited study number, more high-quality studies are warranted in the future.

scholarly journals Magnitude of the Age-Advancement Effect of Comorbidities in Colorectal Cancer Prognosis

2020 ◽  
Vol 18 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Daniel Boakye ◽  
Viola Walter ◽  
Lina Jansen ◽  
Uwe M. Martens ◽  
Jenny Chang-Claude ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Disease Free Survival ◽  
Cox Proportional Hazards ◽  
Cancer Prognosis ◽  
Free Survival ◽  
Hazard Ratios ◽  
The Impact ◽  
Disease Free ◽  
Worse Prognosis

Background: Comorbidities and old age independently compromise prognosis of patients with colorectal cancer (CRC). The impact of comorbidities could thus be considered as conveying worse prognosis already at younger ages, but evidence is lacking on how much worsening of prognosis with age is advanced to younger ages in comorbid versus noncomorbid patients. We aimed to quantify, for the first time, the impact of comorbidities on CRC prognosis in “age advancement” of worse prognosis. Methods: A total of 4,602 patients aged ≥30 years who were diagnosed with CRC in 2003 through 2014 were recruited into a population-based study in the Rhine-Neckar region of Germany and observed over a median period of 5.1 years. Overall comorbidity was quantified using the Charlson comorbidity index (CCI). Hazard ratios and age advancement periods (AAPs) for comorbidities were calculated from multivariable Cox proportional hazards models for relevant survival outcomes. Results: Hazard ratios for CCI scores 1, 2, and ≥3 compared with CCI 0 were 1.25, 1.53, and 2.30 (P<.001) for overall survival and 1.20, 1.48, and 2.03 (P<.001) for disease-free survival, respectively. Corresponding AAP estimates for CCI scores 1, 2, and ≥3 were 5.0 (95% CI, 1.9–8.1), 9.7 (95% CI, 6.1–13.3), and 18.9 years (95% CI, 14.4–23.3) for overall survival and 5.5 (95% CI, 1.5–9.5), 11.7 (95% CI, 7.0–16.4), and 21.0 years (95% CI, 15.1–26.9) for disease-free survival. Particularly pronounced effects of comorbidity on CRC prognosis were observed in patients with stage I–III CRC. Conclusions: Comorbidities advance the commonly observed deterioration of prognosis with age by many years, meaning that at substantially younger ages, comorbid patients with CRC experience survival rates comparable to those of older patients without comorbidity. This first derivation of AAPs may enhance the empirical basis for treatment decisions in patients with comorbidities and highlight the need to incorporate comorbidities into prognostic nomograms for CRC.

Sign in / Sign up

Export Citation Format

Share Document