| Literature DB >> 24973902 |
Atsuko Teramoto1, Kenzo Shimazu1, Yasuto Naoi1, Atsushi Shimomura1, Masafumi Shimoda1, Naofumi Kagara1, Naomi Maruyama1, Seung Jin Kim1, Katsuhide Yoshidome2, Masahiko Tsujimoto3, Yasuhiro Tamaki4, Shinzaburo Noguchi5.
Abstract
The aim of the present study was to construct the intra-operative prediction model of non-sentinel lymph node (non-SLN) metastasis in breast cancer patients with SLN metastasis using one-step nucleic acid amplification (OSNA). Of 833 breast cancer patients (T1-T2, N0) who underwent SLN biopsy and had their SLNs examined intra-operatively with the OSNA assay, 161 with SLN metastasis and treated with completion axillary lymph node dissection (cALND) were randomly divided into a training (n = 81) and a validation (n = 80) cohort. Non-SLN metastasis of the training cohort was associated with the number of positive SLNs (P = 0.001), CK19 mRNA copy number (P = 0.001), and clinical tumor size (P = 0.055). These parameters were used to construct the intra-operative prediction model of non-SLN metastasis. Its diagnostic accuracy (AUC of ROC curve) was 0.809 and 0.704 for the training and validation cohorts, respectively. The intra-operative prediction model using OSNA may have a diagnostic accuracy of non-SLN metastasis comparable to that of the conventional, post-operative prediction model, indicating that it might help decide the indication for cALND.Entities:
Keywords: CK19 mRNA; Intra-operative prediction model; Non-sentinel lymph node metastasis
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Year: 2014 PMID: 24973902 DOI: 10.1016/j.breast.2014.05.026
Source DB: PubMed Journal: Breast ISSN: 0960-9776 Impact factor: 4.380