scholarly journals Prognostic and Clinicopathologic Significance of Neutrophil-to-Lymphocyte Ratio in Esophageal Cancer: An Update Meta-Analysis

2022 ◽  
Vol 21 ◽  
pp. 153303382110701
Author(s):  
Binfeng Li ◽  
Fei Xiong ◽  
Shengzhong Yi ◽  
Sheng Wang
Keyword(s):  
Esophageal Cancer ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Clinical Stage ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Clinicopathologic Characteristics ◽  
Cancer Specific Survival ◽  
Free Survival

Background: Esophageal cancer is one of the most common cancers with significant morbidity and mortality. It is important to predict the prognosis of patients. The purpose of this study was to comprehensively assess the prognostic and clinicopathologic significance of NLR in patients with esophageal cancer. Methods: A systematic literature search was performed using PubMed, Cochrane Library, Embase, Web of Science, MEDLINE, and CNKI. This meta-analysis was conducted in accordance with PRISMA guidelines. Hazard ratio (HR) with 95% confidence interval (CI) was used as the effect estimation to evaluate the prognostic role of NLR. Odds ratio (OR) was used to evaluate the relation between NLR and clinicopathologic characteristics. Results: A total of 8431 patients from 32 studies were included in this meta-analysis. The pooled results showed that elevated NLR might predict poor prognosis: The factors considered included overall survival (OS) (HR, 1.57; 95% CI, 1.40-1.75; P < .001), cancer-specific survival (CSS) (HR, 1.28; 95% CI, 1.09-1.49; P < .001), progression-free survival (PFS) (HR, 1.45; 95% CI, 1.29-1.72; P < .001), and disease-free survival (DFS) (HR,1.58; 95% CI, 1.27-1.97; P < .001). High NLR was also associated with tumor differentiation, tumor length, tumor invasion depth, lymph node metastasis, and clinical stage. No significant association was observed between NLR and metastasis stage (OR, 1.69; 95% CI, 0.98-2.98; P = .058). Conclusions: The results of this meta-analysis suggest that elevated NLR value might predict poor prognosis (OS, CSS, PFS, and DFS), according to abnormal clinicopathologic parameters.

scholarly journals The Prognostic Roles and Clinical Features of CD44v9 in Human Solid Cancers—A Meta-Analysis

2020 ◽  
Author(s):  
Yuanxiu Deng ◽  
Jie Wang ◽  
Shenhui Ji ◽  
Lu Huang ◽  
Meijiang Feng
Keyword(s):  
Clinical Features ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
High Expression ◽  
Cochrane Library ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Diagnosis And Prognosis

Abstract Background: CD44 is the primary receptor for hyaluronic acid and serves as a marker for cancer stem cells. CD44v9 is one of CD44’s variants and takes part in cancer’s growth and metastasis. However, the prognostic roles and clinical features of CD44v9 in cancers remain unclear. Therefore, we conducted this meta-analysis to summarize the prognostic significance and clinical features of CD44v9 in human solid cancers.Methods: we systematically searched all of related studies in PubMed, the Web of Science, Embase and Cochrane library up to June 2020. We analyzed the pooled hazard ratios (HRs) and odds ratios (ORs) with corresponding 95% confidence intervals (CIs) to assess the prognostic functions and clinical features of CD44v9 in various human solid cancers.Results: In this meta-analysis, we included 1705 cancer patients among 12 studies. Results indicated that high expression of CD44v9 was significantly related to poorer overall survival (OS) (HR=1.60, 95%CI 1.28-1.99, P<0.0001), recurrence-free survival/progression-free survival/disease-free survival (RFS/PFS/DFS).( HR=1.81, 95%CI 1.16-2.84, P=0.009) and disease-specific survival/cancer-specific survival (DSS/CSS) (HR=2.93, 95%CI 1.69-5.10, P<0.001). At the same time, we also found that high expression of CD44v9 increased the possibility of lymphoid infiltrates (OR=1.59, 95%CI 1.16-2.20, P=0.005), vascular invasion (OR=1.57, 95%CI 1.11-2.22, P=0.010) and higher TNM stage (OR=1.63, 95%CI 1.19-2.23, P=0.002).Conclusion: Our results demonstrate that CD44v9 overexpression is associated with worse OS, RFS/PFS/CFS and DSS/CSS in patients with solid cancers, which might be a biomarker in the diagnosis and prognosis of cancers in the future.

scholarly journals Role of TSP-1 as prognostic marker in various cancers: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Shengjie Sun ◽  
Huiyu Dong ◽  
Tao Yan ◽  
Junchen Li ◽  
Chao Liang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Gynecological Cancer ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Poor Overall Survival ◽  
Free Survival ◽  
The Impact

Abstract Background Published studies present conflicting data regarding the impact of Thrombospondin-1 (TSP-1) expression on prognosis of various cancers . We performed this meta-analysis to clarify the preliminary predictive value of TSP-1. Methods Twenty-four studies with a total of 2379 patients were included. A comprehensive literature search was performed by using PubMed, Cochrane Library, Web of Science, Embase, and hand searches were also conducted of relevant bibliographies. Pooled hazard ratio s ( HRs ) with 95% confidence intervals ( CIs ) for patient survival and disease recurrence were initially identified to explore relationships between TSP-1 expression and patient prognosis. Results A total of 24 eligible studies were included in this meta-analysis. Our results showed that high level of TSP-1 was correlated significantly with poor overall survival ( OS ) (HR=1.40, 95% CI: 1.17~1.68). However, high TSP-1 expression predicted no significant impact on progression-free survival ( PFS )/ metastasis-free survival (MFS ) (HR=1.35, 95%CI: 0.87-2.10) and disease-free survival ( DFS )/ recurrence-free survival ( RFS ) (HR = 1.40, 95%CI: 0.77–2.53). In addition, we performed subgroup analyses which showed that high TSP-1 expression predicted poor prognosis in breast cancer and gynecological cancer. Conclusions Our findings indicated high TSP-1 expression may serve as a promising biomarker of poor prognosis and novel therapeutic target in cancers, especially in breast cancer and gynecological cancer.

scholarly journals Role of TSP-1 as prognostic marker in various cancers: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Shengjie Sun ◽  
Huiyu Dong ◽  
Tao Yan ◽  
Junchen Li ◽  
Bianjiang Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Gynecological Cancer ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Poor Overall Survival ◽  
Free Survival ◽  
The Impact

Abstract Background Published studies present conflicting data regarding the impact of Thrombospondin-1 (TSP-1) expression on prognosis of various cancers. We performed this meta-analysis to illustrate the preliminary predictive value of TSP-1. Methods Twenty-four studies with a total of 2379 patients were included. A comprehensive literature search was performed by using PubMed, Cochrane Library, Web of Science, Embase, and hand searches were also conducted of relevant bibliographies. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for patient survival and disease recurrence were initially identified to explore relationships between TSP-1 expression and patient prognosis. Results A total of 24 eligible studies were included in this meta-analysis. Our results showed that high level of TSP-1 was correlated significantly with poor overall survival (OS) (HR=1.40, 95% CI: 1.17~1.68; P＜0.001). However, high TSP-1 expression predicted no significant impact on progression-free survival (PFS)/ metastasis-free survival (MFS) (HR=1.35, 95%CI: 0.87-2.10; P=0.176) and disease-free survival (DFS)/ recurrence-free survival (RFS) (HR = 1.40, 95%CI: 0.77–2.53; P=0.271). In addition, we performed subgroup analyses which showed that high TSP-1 expression predicted poor prognosis in breast cancer and gynecological cancer. Additionally, the relatively small number of studies on PFS/MFS and DFS/RFS is a limitation. The data extracted through Kaplan-Meier curves may not be accurate. Moreover, only English articles were included in this article, which may lead to deviations in the results.Conclusions Our findings indicated high TSP-1 expression may act as a promising biomarker of poor prognosis in cancers, especially in breast cancer and gynecological cancer.

scholarly journals Role of TSP-1 as prognostic marker in various cancers: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Shengjie Sun ◽  
Huiyu Dong ◽  
Tao Yan ◽  
Junchen Li ◽  
Chao Liang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Gynecological Cancer ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Poor Overall Survival ◽  
Free Survival ◽  
The Impact

Abstract Background Published studies present conflicting data regarding the impact of Thrombospondin-1 (TSP-1) expression on prognosis of various cancers. We performed this meta-analysis to clarify the preliminary predictive value of TSP-1. Methods Twenty-four studies with a total of 2379 patients were included. A comprehensive literature search was performed by using PubMed, Cochrane Library, Web of Science, Embase, and hand searches were also conducted of relevant bibliographies. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for patient survival and disease recurrence were initially identified to explore relationships between TSP-1 expression and patient prognosis. Results A total of 24 eligible studies were included in this meta-analysis. Our results showed that high level of TSP-1 was correlated significantly with poor overall survival (OS) (HR=1.40, 95% CI: 1.17~1.68; P＜0.001). However, high TSP-1 expression predicted no significant impact on progression-free survival (PFS)/ metastasis-free survival (MFS) (HR=1.35, 95%CI: 0.87-2.10; P=0.176) and disease-free survival (DFS)/ recurrence-free survival (RFS) (HR = 1.40, 95%CI: 0.77–2.53; P=0.271). In addition, we performed subgroup analyses which showed that high TSP-1 expression predicted poor prognosis in breast cancer and gynecological cancer. Limitations Among the selected studies, heterogeneity was noted and determining a standard expression cutoff value was difficult. Additionally, the relatively small number of studies on PFS/MFS and DFS/RFS is a limitation. The data extracted through Kaplan-Meier curves may not be accurate. Moreover, only English articles were included in this article, which may cause deviations in the results.Conclusions Our findings indicated high TSP-1 expression may serve as a promising biomarker of poor prognosis in cancers, especially in breast cancer and gynecological cancer.

scholarly journals Low Pretreatment Albumin-to-Globulin Ratio Predicts Poor Prognosis in Gastric Cancer: Insight From a Meta-Analysis

2021 ◽  
Vol 10 ◽  
Author(s):  
Chengzhi Wei ◽  
Zhu Yu ◽  
Gonghe Wang ◽  
Yiming Zhou ◽  
Lei Tian
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Free Survival ◽  
Albumin To Globulin Ratio

BackgroundIn recent five years, reports regarding albumin-to-globulin ratio (AGR) and the survival of gastric cancer (GC) have emerged rapidly, yet their association remains controversial. This meta-analysis was aimed to provide an insight into the prognostic significance of pretreatment AGR in GC.MethodsPubMed, Embase, Cochrane library, Web of Science, WanFang, China National Knowledge Infrastructure (CNKI) and VIP databases were searched for relevant studies, from inception to September 30, 2020. Individual hazard ratios (HRs) with their 95% confidence intervals (CIs) were combined by Stata 12.0 software to evaluate the association between pretreatment AGR and overall survival (OS) and disease-free survival/progression-free survival (DFS/PFS).ResultsA total of 8,305 patients with GC from 12 studies were included for further analysis. Pooled analyses indicated that low AGR was closely associated with worse OS (HR = 1.531, 95% CI: 1.300–1.803, P &lt; 0.001) and worse DFS/PFS (HR = 2.008, 95% CI: 1.162–3.470, P = 0.012) in GC patients. Moreover, subgroup analyses demonstrated that the association between low AGR and worse OS remained constant despite variations in country, tumor stage, cut-off value, cut-off selection and treatment method.ConclusionAGR could act as an efficient prognostic indicator for GC, and that low pretreatment AGR predicts poor prognosis in GC.

scholarly journals The prognostic value of hypoxia-inducible factor-1α in advanced cancer survivors: a meta-analysis with trial sequential analysis

2019 ◽  
Vol 11 ◽  
pp. 175883591987585 ◽  
Author(s):  
Susu Han ◽  
Tao Huang ◽  
Fenggang Hou ◽  
Liting Yao ◽  
Xiyu Wang ◽  
...  
Keyword(s):  
Advanced Cancer ◽  
Sequential Analysis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Trial Sequential Analysis ◽  
Advanced Cancer Patients ◽  
Cancer Specific Survival ◽  
Study Region ◽  
Free Survival

Background: Expression of hypoxia-inducible factors (HIFs) has been observed, but their prognostic role in advanced cancers remains uncertain. We conducted a meta-analysis to establish the prognostic effect of HIFs and to better guide treatment planning for advanced cancers. Methods: Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. Trial sequential analysis (TSA) was also performed. The clinical outcomes included overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), cancer-specific survival (CSS), relapse/recurrence-free survival (RFS), and metastasis-free survival (MFS) in patients with advanced tumors according to multivariate analysis. Results: A total of 31 studies including 3453 cases who received chemotherapy, radiotherapy, or chemoradiotherapy were identified. Pooled analyses revealed that HIF-1α expression was correlated with worse OS (HR = 1.61, p < 0.001), DFS (HR = 1.61, p < 0.001), PFS (HR = 1.49, p = 0.01), CSS (HR = 1.65, p = 0.056), RFS (HR = 2.10, p = 0.015), or MFS (HR = 2.36, p = 0.002) in advanced cancers. HIF-1α expression was linked to shorter OS in the digestive tract, epithelial ovarian, breast, non-small cell lung, and clear cell renal cell carcinomas. Subgroup analysis by study region showed that HIF-1α expression was correlated with poor OS in Europeans and Asians, while an analysis by histologic subtypes found that HIF-1α expression was not associated with OS in squamous cell carcinoma. No relationship was found between HIF-2α expression and OS, DFS, PFS, or CSS. Conclusions: Targeting HIF-1α may be a useful therapeutic approach to improve survival for advanced cancer patients. Based on TSA, more randomized controlled trials are strongly suggested.

scholarly journals Prognostic Impact of Tumor Length in Esophageal Cancer: A Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Zhao Yang Wang ◽  
Yuanzhu Jiang ◽  
Wen Xiao ◽  
Xianbiao Xue ◽  
Xiangwei Zhang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Disease Specific Survival ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Tumor Length ◽  
Disease Free ◽  
Disease Specific

Abstract Background: In clinical work, it has been increasingly found that the prognosis is still very different even for esophageal cancer (EC) patients with the same TNM stage. Tumor length has been analysed as a possible independent prognostic factor in many studies, but no unanimous conclusion has been reached. Therefore, this review used a meta-analysis to evaluate the association between tumor length and prognosis in EC patients.Methods: A systematic search for relevant articles was performed in PubMed, Web of Science, and Embase. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used as effective measures to estimate the correlation between tumor length and prognosis, including overall survival, disease-free survival, progression-free survival, disease-specific survival, and cancer-specific survival. STATA 15.0 software was used to perform the meta-analysis and the data synthesis.Results: Finally, 41 articles with 28,973 patients were included in our study. The comprehensive statistical results showed that long tumors are an independent prognostic parameter associated with poor overall survival (OS) (HR=1.30; 95% CI: 1.21-1.40, p<.001) and disease-free survival (DFS) (HR=1.38; 95% CI: 1.18-1.61, p<.001) in EC patients. Subgroup analyses also suggested a significant correlation between long tumors and poor OS. Sensitivity analysis and publication bias evaluation confirmed the reliability and stability of the results. Similar results were obtained in the analyses of progression-free survival (PFS), disease-specific survival (DSS), and cancer-specific survival (CSS).Conclusion: The results of this meta-analysis showed that long tumors were related to poor OS, DFS, PFS, DSS and CSS in EC patients. Tumor length might be an important predictor of prognosis in EC patients, and it can be used as an independent staging index. Further well-designed and large-scale prospective clinical studies are needed to confirm these findings.

scholarly journals Prognostic significance of platelet-to-lymphocyte ratio in urothelial carcinoma patients: a meta-analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yuhai Bao ◽  
Yin Wang ◽  
Xiaodong Li ◽  
Mingjun Pan ◽  
Hongze Zhang ◽  
...  
Keyword(s):  
Urothelial Carcinoma ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Cochrane Library ◽  
Prognostic Impact ◽  
Platelet To Lymphocyte Ratio ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Lymphocyte Ratio

Abstract Background The prognostic value of pre-treatment platelet-to-lymphocyte ratio (PLR) in patients with urothelial carcinoma (UC) remains controversial. Therefore, this meta-analysis aimed to identify the prognostic impact of PLR on UC. Methods The PubMed, Embase, Web of Science, and Cochrane Library databases were systematically searched. Hazard ratios (HRs) with 95% confidence intervals (CIs) were used to summarize the correlations between PLR and overall survival (OS), progression-free survival (PFS), disease-free survival (DFS), and cancer-specific survival (CSS). Odds ratios (ORs) with 95% CIs were used to measure the association between PLR and tumor clinicopathological factors. Results The meta-analysis included 15 studies published from 2015 to 2019 with a total of 5354 patients. Overall, a high PLR was correlated to poorer PFS (HR = 1.81, 95% CI 1.28–2.56, p = 0.001) and DFS (HR = 1.09, 95% CI 1.31–2.16, p < 0.001) but not poor OS (HR = 1.23, 95% CI 0.95–1.59, p = 0.124) or CSS (HR = 1.000, 95% CI 0.998–1.002, p = 0.919) in UC. In addition, an elevated PLR was correlated with patient age > 65 years (OR = 1.72, 95% CI 1.25–2.38, p = 0.001) and hypertension (OR = 1.48, 95% CI 1.01–2.18, p = 0.046). However, no significant association was observed between PLR and sex (OR = 0.79, 95% CI 0.56–1.14, p = 0.206) or diabetes (OR = 1.29, 95% CI 0.77–2.15, p = 0.333). Conclusions Our results demonstrated a significant correlation between elevated PLR and poor prognosis in UC. The prognostic role of PLR may help guide the management and prognostication of UC patients.

scholarly journals Prognostic and Clinicopathological Significance of C-Reactive Protein to Albumin Ratio in Patients With Pancreatic Cancer: A Meta-Analysis

Dose-Response ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 155932582093129
Author(s):  
Qinfen Xie ◽  
Lidong Wang ◽  
Shusen Zheng
Keyword(s):  
Pancreatic Cancer ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Survival Outcomes ◽  
C Reactive Protein ◽  
Free Survival ◽  
Albumin Ratio ◽  
Reactive Protein

Background: This meta-analysis explored the correlation between the C-reactive protein to albumin ratio (CAR) and survival outcomes and clinicopathological characteristics in patients with pancreatic cancer. Methods: PubMed, Embase, Web of Science, and Cochrane Library databases were comprehensively searched through October 17, 2019. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the association between CAR and overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) in pancreatic cancer. Results: The meta-analysis included 11 studies comprising 2271 patients. The pooled results showed that a high CAR was predictive of worse OS (HR = 1.84, 95% CI = 1.65-2.06, P < .001), PFS (HR = 1.53, 95% CI = 1.27-1.85, P < .001), and DFS (HR = 1.77, 95% CI = 1.30-2.41, P < .001). An elevated CAR was also associated with male sex (OR = 1.38, 95% CI = 1.10-1.74, P = .006). Conclusion: Elevated pretreatment CAR effectively predicts inferior survival outcomes in patients with pancreatic cancer and may be a powerful prognostic indicator for these 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.

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