The impact of chemokine receptor CXCR4 on breast cancer prognosis: A meta-analysis

2013 ◽  
Vol 37 (5) ◽  
pp. 725-731 ◽  
Author(s):  
Tong-peng Xu ◽  
Hua Shen ◽  
Ling-xiang Liu ◽  
Yong-qian Shu
Keyword(s):  
Breast Cancer ◽  
Chemokine Receptor ◽  
Meta Analysis ◽  
Breast Cancer Prognosis ◽  
Cancer Prognosis ◽  
Chemokine Receptor Cxcr4 ◽  
The Impact

scholarly journals Expression of CXCR4 and breast cancer prognosis: a systematic review and meta-analysis

BMC Cancer ◽  
2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Zhigang Zhang ◽  
Chao Ni ◽  
Wuzhen Chen ◽  
Ping Wu ◽  
Zhen Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Meta Analysis ◽  
Breast Cancer Prognosis ◽  
Cancer Prognosis

scholarly journals The Prognostic Significance of Phosphatase and Tensin Homolog Loss in Breast Cancer

2019 ◽  
Vol 7 (21) ◽  
pp. 3716-3720
Author(s):  
Indri Windarti ◽  
Wirsma Arif Harahap ◽  
Ricvan Dana Nindrea ◽  
Eti Yerizel ◽  
Primaria Dewi Rustamadji
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Random Effect ◽  
Prognostic Significance ◽  
Breast Cancer Prognosis ◽  
Cancer Prognosis ◽  
Breast Cancer Patients ◽  
Phosphatase And Tensin Homolog ◽  
Pten Loss ◽  
Tensin Homolog

AIM: This study aims to determine the prognostic significance of phosphatase and tensin homolog (PTEN) loss in breast cancer. METHODS: We conducted a meta-analysis study. Sample of this study were research articles that evaluated PTEN loss and prognosis in breast cancer patients. We searched for relevant studies published in PubMed and Proquest from January 2010 to July 2018. We reviewed studies that examined the association between immunohistochemical expression of PTEN and breast cancer prognosis using meta-analysis methods. Pooled risk ratios (RR) were calculated using fixed and random-effect models. Data were processed using Review Manager 5.3 (RevMan 5.3). RESULTS: There were 7 studies conducted a systematic review then continued to evaluate the association of PTEN loss and breast cancer prognosis by meta-analysis. There was a significant association of PTEN loss with poor prognosis of breast cancer (RR = 0.76 [95% CI 0.59-0.98 p <0.07), and there was not any significant publication bias for studies included. CONCLUSION: This study confirmed PTEN loss is an important independent factor for breast cancer prognosis.

Lymph node ratio and breast cancer prognosis: a meta-analysis

Breast Cancer ◽  
2013 ◽  
Vol 21 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Dechun Liu ◽  
Yanbin Chen ◽  
Miao Deng ◽  
Gangqiang Xie ◽  
Jianguang Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Ratio ◽  
Meta Analysis ◽  
Breast Cancer Prognosis ◽  
Cancer Prognosis ◽  
Node Ratio

scholarly journals Prognostic role of high cathepsin D expression in breast cancer: a systematic review and meta-analysis

2020 ◽  
Vol 12 ◽  
pp. 175883592092783
Author(s):  
Junho Kang ◽  
Yeuni Yu ◽  
Seongdo Jeong ◽  
Hansong Lee ◽  
Hye Jin Heo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Subgroup Analysis ◽  
Cathepsin D ◽  
Poor Prognosis ◽  
Early Stage ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Breast Cancer Prognosis ◽  
Cancer Prognosis ◽  
Risk Of Relapse

Background: High cathepsin D has been associated with poor prognosis in breast cancer; however, the results of many studies are controversial. Here, we assessed the association between high cathepsin D levels and worse breast cancer prognosis by conducting a meta-analysis. Methods: A comprehensive search strategy was used to search relevant literature in PUBMED and EMBASE by September 2018. The meta-analysis was performed in Review Manager 5.3 using hazard ratios (HRs) with 95% confidence intervals (CIs). Results: A total of 15,355 breast cancer patients from 26 eligible studies were included in this meta-analysis. Significant associations between elevated high cathepsin D and poor overall survival (OS) (HR = 1.61, 95% CI: 1.35–1.92, p < 0.0001) and disease-free survival (DFS) (HR = 1.52, 95% CI: 1.31–2.18, p < 0.001) were observed. In the subgroup analysis for DFS, high cathepsin D was significantly associated with poor prognosis in node-positive patients (HR = 1.38, 95% CI: 1.25–1.71, p < 0.00001), node-negative patients (HR = 1.78, 95% CI: 1.39–2.27, p < 0.0001), early stage patients (HR = 1.73, 95% CI: 1.34–2.23, p < 0.0001), and treated with chemotherapy patients (HR = 1.60, 95% CI: 1.21–2.12, p < 0.001). Interestingly, patients treated with tamoxifen had a low risk of relapse when their cathepsin D levels were high (HR = 0.71, 95% CI: 0.52–0.98, p = 0.04) and a high risk of relapse when their cathepsin D levels were low (HR = 1.50, 95% CI: 1.22–1.85, p = 0.0001). Conclusions: Our meta-analysis suggests that high expression levels of cathepsin D are associated with a poor prognosis in breast cancer. Based on our subgroup analysis, we believe that cathepsin D can act as a marker for poor breast cancer prognosis and also as a therapeutic target for breast cancer.

Impact of estrogen receptor-β expression on breast cancer prognosis: a meta-analysis

2016 ◽  
Vol 156 (1) ◽  
pp. 149-162 ◽  
Author(s):  
Jieqiong Liu ◽  
Huishan Guo ◽  
Kai Mao ◽  
Kan Zhang ◽  
Heran Deng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Meta Analysis ◽  
Breast Cancer Prognosis ◽  
Estrogen Receptor Β ◽  
Cancer Prognosis

Prognostic Value of Nodal Ratios in Node-Positive Breast Cancer

2006 ◽  
Vol 24 (18) ◽  
pp. 2910-2916 ◽  
Author(s):  
Wendy A. Woodward ◽  
Vincent Vinh-Hung ◽  
Naoto T. Ueno ◽  
Yee Chung Cheng ◽  
Melanie Royce ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Value ◽  
Staging System ◽  
Cancer Staging ◽  
Absolute Number ◽  
Breast Cancer Prognosis ◽  
Cancer Prognosis ◽  
Data Sets ◽  
Advantages And Disadvantages ◽  
The Impact

Purpose The American Joint Committee on Cancer staging system for breast cancer was recently updated to reflect the impact of increasing the absolute number of positive lymph nodes on prognosis. However, numerous studies suggest that nodal ratios (absolute number of involved nodes–number of nodes resected) may have greater prognostic value than absolute numbers of involved nodes. Here we examine the data supporting the use of nodal ratios in breast cancer prognosis and consider the potential advantages and disadvantages of including nodal ratios in breast cancer staging. Methods A systematic review of the literature was conducted using the following search engines: http://www.google.com ; Thomson's ISI Web of Science; PubMed. Results In multiple reports from both prospective and retrospectively collected data sets, nodal ratios have been shown to be significant predictors of outcome, including locoregional recurrence and overall survival. These studies span all stages of breast cancer and include various treatments as well as various statistical approaches. Conclusion There is considerable data supporting the use of nodal ratios in breast cancer prognosis. A thorough and methodological evaluation of the potential prognostic importance of nodal ratios in large multicenter data sets is merited and is currently being undertaken by the International Nodal Ratio Working Group.

scholarly journals Fruit and vegetable intake and breast cancer prognosis: a meta-analysis of prospective cohort studies

2017 ◽  
Vol 117 (5) ◽  
pp. 737-749 ◽  
Author(s):  
Chen Peng ◽  
Wei-Ping Luo ◽  
Cai-Xia Zhang
Keyword(s):  
Breast Cancer ◽  
Vegetable Intake ◽  
Meta Analysis ◽  
Breast Cancer Prognosis ◽  
Fruit And Vegetable Intake ◽  
Cancer Prognosis ◽  
Sensitivity Analyses ◽  
Fruit Intake ◽  
Fruit And Vegetable ◽  
Cruciferous Vegetable

AbstractThe effect of fruit and vegetable intake on breast cancer prognosis is controversial. Thus, a meta-analysis was carried out to explore their associations. A comprehensive search was conducted in PubMed, Web of Science, OVID, ProQuest and Chinese databases from inception to April 2016. The summary hazard ratios (HR) and 95 % CI were estimated using a random effects model if substantial heterogeneity existed and using a fixed effects model if not. Subgroup analyses and sensitivity analyses were also performed. In total, twelve studies comprising 41 185 participants were included in the meta-analysis. Comparing the highest with the lowest, the summary HR for all-cause mortality were 1·01 (95 % CI 0·72, 1·42) for fruits and vegetables combined, 0·96 (95 % CI 0·83, 1·12) for total vegetable intake, 0·99 (95 % CI 0·89, 1·11) for cruciferous vegetable intake and 0·88 (95 % CI 0·74, 1·05) for fruit intake; those for breast cancer-specific mortality were 1·05 (95 % CI 0·77, 1·43) for total vegetable intake and 0·94 (95 % CI 0·69, 1·26) for fruit intake; and those for breast cancer recurrence were 0·89 (95 % CI 0·53, 1·50) for total vegetable intake and 0·98 (95 % CI 0·76, 1·26) for cruciferous vegetable intake. This meta-analysis found no significant associations between fruit and vegetable intake and breast cancer prognosis.

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