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已发表论文
基于免疫磁珠分离的诊断对于乳腺癌的前哨淋巴结转移检测的效果和可行性
Authors Zhi XC, Zhang M, Meng TT, Zhang XB, Shi ZD, Liu Y, Liu JJ, Zhang S, Zhang J
Published Date April 2015 Volume 2015:10 Pages 2775—2784
DOI http://dx.doi.org/10.2147/IJN.S72263
Received 5 August 2014, Accepted 18 January 2015, Published 7 April 2015
Abstract: A purpose of this study was to establish a novel molecular diagnostic
model and provide new insight into the intraoperative evaluation of the
sentinel lymph node (SLN) metastasis in breast cancer. A total of 124 breast
cancer patients who met the criteria of sentinel lymph node biopsy (SLNB) and
underwent intraoperative biopsy were consecutively enrolled in this study.
After the SLNs obtained from each patient were labeled, MOC-31 monoclonal
antibody-mediated immunomagnetic separation (IMS) and flow cytometry were used to
determine the expressions of breast cancer metastasis-related markers,
including Mucin 1 (MUC1), CD44v6, and HER2. Alternatively, conventional
intraoperative hematoxylin and eosin (HE) staining and cytokeratin
immunohistochemistry (CK-IHC) were performed to detect potential SLN
metastasis. The sensitivity, specificity, and false-negative rate of the three
intraoperative diagnostic methods were compared and analyzed. A total of 55
positive-SLNs were found in 38 breast cancer patients using IMS, yielding a
sensitivity of 86.4% (38/44), specificity of 94.7% (36/38), accuracy of 93.5%
(116/124), false-positive rate of 2.5% (2/80), false-negative rate of 13.6%
(6/44), positive predictive value of 95.5% (42/44), and negative predictive
value of 93.0% (80/86). Patients with high expressions of CD44v6, MUC1, and
HER2 in SLNs tended to have higher number of positive lymph nodes, among which
the MUC1 and HER2 showed significant differences (P <0.05).
Therefore, compared with conventional HE staining and CK-IHC, IMS technology
has remarkably higher sensitivity and specificity and relative lower
false-negative rate, thus making it an effective and feasible intraoperative
detection method of SLN for breast cancer diagnosis to some extent.
Keywords: immunomagnetic separation, breast cancer, sentinel lymph node, MUC1, CD44v6, HER2
Keywords: immunomagnetic separation, breast cancer, sentinel lymph node, MUC1, CD44v6, HER2
