scholarly journals Clinicopathologic and Prognostic Value of Serum Carbohydrate Antigen 19-9 in Gastric Cancer: A Meta-Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yong-xi Song ◽  
Xuan-zhang Huang ◽  
Peng Gao ◽  
Jing-xu Sun ◽  
Xiao-wan Chen ◽  
...  

Background.The clinical value of carbohydrate antigen (CA) 19-9 in gastric cancer is controversial. We evaluated the clinicopathologic and prognostic value of CA 19-9 in gastric cancer.Methods.A literature search was conducted in PubMed and Embase databases. Odds ratios (ORs), risk ratios (RR), hazard ratios (HRs), and 95% confidence intervals (CIs) were used as effect measures.Results. Thirty-eight studies were included. Results showed that there were significant differences in the incidence of high CA 19-9 levels between stages III/IV and I/II groups (OR = 3.36; 95% CI = 2.34–4.84), the pT3/T4 and pT1/T2 groups (OR = 2.40; 95% CI = 1.60–3.59), the lymph node-positive and node-negative groups (OR = 2.91; 95% CI = 2.21–3.84), the metastasis-positive and metastasis-negative groups (OR = 2.76; 95% CI = 1.12–6.82), and vessel invasion-positive and invasion-negative groups (OR = 1.66; 95% CI = 1.11–2.48). Moreover, CA 19-9 was significantly associated with poor overall survival (HR = 1.83; 95% CI = 1.56–2.15), disease-free survival (HR = 1.85; 95% CI = 1.16–2.95), and disease-specific survival (HR = 1.33; 95% CI = 1.10–1.60) in gastric cancer.Conclusions. Our meta-analysis showed that CA 19-9 indicates clinicopathologic characteristics of gastric cancer and is associated with a poor prognosis.

2021 ◽  
Vol 11 ◽  
Author(s):  
Ye Qiu ◽  
Zongxin Zhang ◽  
Ying Chen

BackgroundPrevious studies have investigated the role of systemic immune-inflammation index (SII) as a prognostic factor for gastric cancer (GC) patients, although with inconsistent results. Thus, the aim of this study was to identify the prognostic value of SII in GC through meta-analysis.MethodsWe systematically searched the PubMed, Embase, and Web of Science databases for relevant studies investigating the prognostic role of SII in GC up to December 2019. The hazard ratios (HRs) and 95% confidence intervals (CIs) related to overall survival (OS) and disease-free survival (DFS) were combined. Odds ratios (ORs) and 95% CIs were pooled to assess the correlation between SII and clinicopathological features of GC.ResultsA total of eight studies, comprising 4,236 patients, were included in this meta-analysis. Pooled analysis indicated that a high pretreatment SII predicted poor OS (HR=1.40, 95% CI=1.08–1.81, p=0.010) but not poor DFS (HR=1.30, 95% CI=0.92–1.83, p=0.140) in GC. In addition, an elevated SII correlated with an advanced tumor–node–metastasis stage (OR=2.34, 95% CI=1.40–3.92, p=0.001), T3–T4 stage (OR=2.25, 95% CI=1.34–3.77, p=0.002), positive lymph node metastasis (OR=1.79, 95% CI=1.12–2.87, p=0.016), and tumor size ≥ 5 cm (OR=2.28, 95% CI=1.62–3.22, p<0.001) in patients with GC.ConclusionsA high pretreatment SII significantly associated with poorer survival outcomes as well as several clinical characteristics in GC. We suggest that SII could be monitored to guide prognostication and provide reliable information on the risk of disease progression in GC.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Chun-Kai Liao ◽  
Yen-Lin Yu ◽  
Yueh-Chen Lin ◽  
Yu-Jen Hsu ◽  
Yih-Jong Chern ◽  
...  

Abstract Backgrounds The inflammatory biomarker “C-reactive protein to albumin ratio (CAR)” has been reported to significantly correlate to a variety of human cancers. However, there are conflicting results regarding the prognostic value of CAR in colorectal cancer. Previous studies mainly assessed patients in Eastern countries, so their findings may not be applicable to the Western population. Therefore, this updated meta-analysis aimed to investigate the prognostic value of pre-treatment CAR and outcomes of patients with colorectal cancer. Methods We conducted a systematic search for eligible literature until October 31, 2020, using PubMed and Embase databases. Studies assessing pre-treatment CAR and outcomes of colorectal cancer were included. Outcome measures included overall survival, disease-free survival, progression-free survival, and clinicopathological features. The pooled hazard ratios (HR) with 95% confidence intervals (CI) were used as effective values. Results A total of 15 studies involving 6329 patients were included in this study. The pooled results indicated that a high pre-treatment CAR was associated with poor overall survival (HR 2.028, 95% CI 1.808−2.275, p < 0.001) and poor disease-free survival/progression-free survival (HR 1.768, 95% CI 1.321–2.365, p < 0.001). Subgroup analysis revealed a constant prognostic value of the pre-treatment CAR despite different study regions, sample size, cancer stage, treatment methods, or the cut-off value used. We also noted a correlation between high pre-treatment CAR and old age, male sex, colon cancer, advanced stage (III/IV), large tumor size, poor differentiation, elevated carcinoembryonic antigen levels, neutrophil-to-lymphocyte ratio, and the modified Glasgow prognostic score. Conclusions High pre-treatment CAR was associated with poor overall survival, disease-free survival, and progression-free survival in colorectal cancer. It can serve as a prognostic marker for colorectal cancer in clinical practice.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lianghe Jiao ◽  
Jing Wei ◽  
Jun Ye ◽  
Chuanmeng Zhang

Background and Aim. Peroxiredoxin-1 (PRDX1) has been reported to be abnormally expressed in various malignancies. However, the prognostic role of PRDX1 in human solid tumors remains controversial. We performed this meta-analysis to accurately assess the prognostic significance of PRDX1 protein in patients with solid tumors. Methods. We comprehensively searched electronic databases, namely, PubMed, Web of Science, EMBASE, Chinese National Knowledge Infrastructure (CNKI), and WanFang databases up to December 2019. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to evaluate the association between PRDX1 protein expression and the survival of patients with solid tumors. Odds ratios (ORs) with 95% CIs were pooled to estimate the correlation between PRDX1 protein expression and clinicopathologic characteristics in the patients. Results. Seventeen cohort studies that involved 2,858 patients were included in this meta-analysis. The pooled results indicated that positive PRDX1 expression was related to poor overall survival ( HR = 1.68 , 95% CI: 1.24-2.27, P = 0.001 ) and disease-free survival ( HR = 1.88 , 95% CI: 1.31-2.70, P = 0.001 ). In addition, high PRDX1 expression was associated with large tumor size ( OR = 1.69 , 95% CI: 1.07-2.68, P = 0.025 ), advanced TNM stage ( OR = 2.26 , 95% CI: 1.24-4.13, P = 0.008 ), and poor tumor differentiation ( OR = 0.59 , 95% CI: 0.44-0.81, P = 0.001 ). Conclusions. PRDX1 overexpression is associated with poor outcomes of cancers and may serve as a prognostic biomarker for malignant patients. Hence, PRDX1 could be a new target for antitumor therapy.


2019 ◽  
Author(s):  
Xunlei Zhang ◽  
Wenjing Zhao ◽  
Yang Yu ◽  
Xue Qi ◽  
Li Song ◽  
...  

Abstract Background: Systemic inflammatory parameters, such as the elevator PLR (platelet-lymphocyte ratio), have been found to be associated with the prognosis in gastric cancer (GC); however, the results remain controversial. So we aimed to evaluate the prognostic role of the PLR in gastric cancer by conducting this meta-analysis. Methods: We performed a systematic literature search in PubMed, Embase and the Cochrane Library. The hazard ratio (HR) /Odds Ratio (OR) and its 95% confidence (CI) of survival outcomes and clinicopathological parameters were calculated. Results: A total of 38 studies (39 cohorts) with 23,317 GC patients were included in the final meta-analysis. The pooled results showed that elevated PLR was significantly associated with poor overall survival (OS) (HR: 1.37, 95% CI: 1.25-1.51, p < 0.001; I2= 82.10%, Ph < 0.001) and disease-free survival (DFS) (HR 1.52, 95%CI 1.22–1.90, P< 0.001, I2= 88.6%, Ph< 0.001) of GC patients. Furthermore, patients with elevated PLR had a higher risk of lymph node metastasis (OR = 1.33, 95% CI: 1.03–1.70, p=0.027), serosal invasion (T3 +T4) (OR = 1.58, 95% CI: 1.09–1.31, p=0.017) and increased advanced stage (III+IV) (OR = 1.37, 95% CI: 1.00–1.89, p=0.050). Conclusions: This meta-analysis demonstrated that elevated PLR was a prognostic factor for poor OS and DFS, and associated with clinicopathological parameters in patients with GC.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Fei Wang ◽  
Shanliang Zhong ◽  
Haijun Zhang ◽  
Wei Zhang ◽  
Hongming Zhang ◽  
...  

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.


2020 ◽  
Author(s):  
Qiang Guo ◽  
ShiXu Fang ◽  
WeiLong Gao ◽  
XiXian Ke ◽  
Cheng Chen ◽  
...  

Abstract Backgroud: To elucidate the relationship between the expression level of HOXA-AS2 and it’s prognostic value of cancer by meta-analysis. Methods: Databases of PubMed, Cochrane Library, Embase, Web of Science, Google Scholar, CNKI and some others were searched systematically. Comprehensively screen according to the inclusion criteria and the exclusion criteria was conducted. The connection between HOXA-AS2 and the prognosis characteristics of patients with various types of cancer was screened by combining odds ratio (OR), Hazard ratios (HR) and 95% confidence interval (CI) for the studies collected in this meta-analysis. In addition, we further analyzed the expression of the gene and its potential clinical value in Gene Expression Profiling Interactive Analysis (GEPIA) and the lnCAR database. Results: A total of 12 studies consisting 796 patients were included in this research. Compared low HOXA-AS2 expression group, patients with high HOXA-AS2 expression were more likely to get poor overall survival (OS). Moreover, high HOXA-AS2 expression demonstrates advanced TNM stage, earlier lymph node metastasis, distant metastasis and bigger tumor size. But there was no correlation or the correlation was not statistically significant between the expression and the age, sex or the pathological differentiation. In addition, data from the GEPIA and LnCAR databases revealed that increasing HOXA-AS2 expression means bad prognosis in most of cancers. Conclusions: High HOXA-AS2 expression shows worse cancer prognosis in cancer patients, and HOXA-AS2 may be acted as therapeutic target and promising prognostic marker.


2021 ◽  
Author(s):  
Caizhi Chen ◽  
Jingjing Wang ◽  
Yeqian Feng ◽  
Ye Liang ◽  
Yan Huang ◽  
...  

Abstract Background: LncRNA TP73-AS1 is dysregulated in various tumors but the correlation between its expression and clinicopathological parameters and/or prognoses in cancer patients is inconclusive. Here, we performed a meta-analysis to evaluate the prognostic value of lncRNA TP73-AS1 for malignancies.Methods: We systematically searched four online databases including PubMed, the Web of Science, Embase, and the Cochrane Library for eligible articles published up to June 29/2020. Odds ratios (ORs) and Pooled hazard ratios (HRs) with 95% confidence intervals (95% CIs) were used to assess the association of TP73-AS1 expression with prognostic and clinicopathological parameters. We further validated TP73-AS1 expression in various malignancies and its potential prognostic value using the GEPIA online database. We predicted potential biological processes and relevant signal mechanisms through the public databases.Results: A total of 26 studies including 1770 patients were analyzed to evaluate the relationship between TP73-AS1 expression, clinicopathological features and prognostic indicators. The results indicated that TP73-AS1 expression markedly correlates with TNM stage, tumor size, lymph node metastasis and distant metastasis. No correlation with age, gender or differentiation was observed. TP73-AS1 overexpression was a biomarker of poor Overall survival (OS) and Disease-Free-Survival (DFS). Dysregulated TP73-AS1 expression and its prognostic value in various cancers was validated based on The Cancer Genome Atlas (TCGA). Further biological function predictions indicated that TP73-AS1 was involved in pro-oncogenic signaling.Conclusions: The upregulation of LncRNA TP73-AS1 was related to detrimental clinicopathological parameters and can be considered an indicator of poor prognosis for cancer malignancies.


2020 ◽  
Author(s):  
Shuo Zhang ◽  
Dandan Qiu ◽  
Xiaohong Xie ◽  
Yong Shen

Abstract Background: The long non-coding RNA small nucleolar RNA host gene 16 (lncRNA SNHG6) is dysregulated in various malignant tumor. However, a definite conclusion on the clinical value of lncRNA SNHG6 expression in human cancers has not been determined. The purpose of the present meta-analysis was to comprehensively elucidate the association between SNHG6 expression and clinical outcomes in cancers.Methods: A systematic search was performed through the PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wangfang databases for relevant studies. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were collected to estimate the prognostic value, and the odds ratios (ORs) with 95% CIs were used to evaluate the relationship between lncRNA SNHG6 expression and clinicopathological features, including tumor invasion depth, lymph node metastasis (LNM), distance metastasis (DM), and TNM stage. Results: A total of 914 patients from 13 studies were included in this meta-analysis. The pooled results suggested that evaluated SNHG6 expression could predict an unfavorable overall survival (OS) (HR = 2.04, 95% CI:1.56~2.52) with no heterogeneity (I2 = 0.0%, p = 0.996). Subgroup analysis indicated a significant association between high SNHG6 expression and shorter OS in studies with digestive system cancers (HR = 2.05, 95%CI: 1.47-2.62), sample size < 70 (HR = 2.70, 95%CI: 1.29-4.11), and univariate and multivariate analysis (HR = 2.04, 95%CI: 1.44-2.64). Moreover, high SNHG6 expression was positively correlated with tumor invasion depth (OR = 1.76, 95%CI: 1.18-2.63), LNM (OR = 1.60, 95%CI: 1.18-2.17), DM (OR = 1.90, 95%CI: 1.37-2.64) and advanced TNM stage (OR = 1.88, 95%CI: 1.36-2.60) in patients with cancers.Conclusions: High lncRNA SNHG6 expression was correlated with tumor invasion depth, LNM, DM, and advanced TNM stage, suggesting that SNHG6 may serve as a promising prognostic biomarker of human cancers.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hailun Xie ◽  
Lishuang Wei ◽  
Shuangyi Tang ◽  
Jialiang Gan

Background. Recently, it has been reported that the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) is related to the prognosis of various cancers. The purpose of this systematic review and meta-analysis was to explore the prognostic value of pretreatment AAPR on clinical outcomes in cancer. Methods. PubMed, Web of Science, Cochrane Library, and Embase were systematically searched for relevant research before May 2020. Stata 12 was utilized to extract the data and the characteristics of each study and to generate a pooled hazard ratio (HR) and 95% confidence interval (CI) to assess the relationship between pretreatment AAPR and survival outcomes. Results. We included 16 eligible published articles involving 5,716 patients. We found that low pretreatment AAPR was associated with poor overall survival ( HR = 2.12 , 95% CI: 1.80–2.50, P < 0.001 ), cancer-specific survival ( HR = 2.89 , 95% CI: 1.46–5.71, P < 0.001 ), disease-free survival ( HR = 1.91 , 95% CI: 1.43–2.53, P < 0.001 ), and progression-free survival ( HR = 1.93 , 95% CI: 1.49–2.52, P < 0.001 ). However, there was no statistical relationship between pretreatment AAPR and recurrence-free survival, distant-metastasis-free survival, or locoregional relapse-free survival. The correlation between pretreatment AAPR and overall survival did not change significantly when possible confounders were stratified. The sensitivity analysis showed that this study was reliable. Conclusions. Low pretreatment AAPR was significantly associated with adverse clinical outcomes of cancer. Pretreatment AAPR could be a valuable noninvasive prognostic indicator for cancer.


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