A Meta-Analysis of Internal Mammary Lymph Node Metastasis in Breast Cancer Patients

2013 ◽  
Vol 36 (12) ◽  
pp. 2-2
Author(s):  
Zongtao Li ◽  
Xiaomei Gu ◽  
Junwang Tong ◽  
Bingli Liu ◽  
Liqian Sun ◽  
...  
2021 ◽  
Author(s):  
Jingjing Gu ◽  
Dandan Chen ◽  
Zhiqiang li ◽  
Yongliang Yang ◽  
Zhaoming Ma ◽  
...  

Abstract Purpose: This meta-analysis investigated the relationships between the CD44+/CD24- phenotype and tumor size, lymph node metastasis, distant metastasis, disease-free survival (DFS), and overall survival (OS) in 8036 postoperative breast cancer patients enrolled in 23 studies.Methods: A literature search of PubMed, Medline, Cochrane, Embase, and PMC was conducted to identify eligible studies. The combined odds ratios (ORs) and 95% confidence intervals (95%CIs) were analyzed to evaluate the relationships between the CD44+/CD24- phenotype and the pathological and biological characteristics of breast cancer patients, and the combined hazard ratios (HRs) and 95% CIs were calculated to evaluate the relationships between CD44+/CD24- and DFS and OS of breast cancer petients using Stata12.0 software.Results: The CD44+/CD24- phenotype were not related to the tumor size (tumor size > 2.0 cm vs ≤ 2.0 cm, combined OR = 0.98, 95%CI: 0.68–1.34, p = 0.792) and didn’t promote lymph node metastasis (lymph node metastasis vs. no lymph node metastasis, combined OR = 0.94, 95% CI: 0.71–1.26, p = 0.692) and distant metastasis (distant metastasis vs no distant metastasis, combined OR = 3.88, 95% CI: 0.93–16.24, p = 0.064). The CD44+/CD24- phenotype was negatively correlated with postoperative DFS (HR = 1.67, 95% CI: 1.35–2.07, p <0.00001) and OS (combined HR = 1.52, 95%CI: 1.21–1.91, p = 0.0004).Conclusion: These results suggested expression of the CD44+/CD24- phenotype can be used as a reliable indicator of clinical prognosis and a potential therapeutic targets in breastcancer patients.


2013 ◽  
Vol 21 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Abigail S. Caudle ◽  
Min Yi ◽  
Karen E. Hoffman ◽  
Elizabeth A. Mittendorf ◽  
Gildy V. Babiera ◽  
...  

2016 ◽  
Vol 85 (9) ◽  
pp. 1683-1684
Author(s):  
Xu Li ◽  
Wei Zhang ◽  
Zhang Yue ◽  
Yinwen Li ◽  
Zhuoqun Huang

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