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DOI 10.3892/mco.2022.2491

Медицинская библиотека · Molecular and clinical oncology · 2022

Intraoperative prediction of non-sentinel lymph node metastases in breast cancer using cytokeratin 19 mRNA copy number: A retrospective analysis.

Pina Heloïse, Salleron Julia, Gilson Pauline, Husson Marie, Rouyer Marie, Leroux Agnes, Rauch Philippe, Marchal Frederic, Käppeli Mathilde, Merlin Jean-Louis, Harlé Alexandre

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Аннотация

One-step nucleic acid amplification (OSNA) is a molecular procedure used intraoperatively for the detection of sentinel lymph node (SLN) metastases. The aim of the present study was to define a cut-off of cytokeratin (CK)19 mRNA copy number predictive of positive completion axillary lymph node dissection (ALND). The OSNA procedure was employed for SLN analysis in 812 patients with T1-T2 N0 breast cancer. A total of 197 patients with SLN metastases were retrospectively analyzed. A total of 40 patients (20%) had non-SLN metastases. Receiver operating characteristics curve analysis established a cut-off of 5,000 CK19 mRNA copy number with 75% sensitivity and 72% specificity. The positive and negative predictive values were 40.5 and 92%, respectively. Multivariate analysis showed that this cut-off and tumor localization in the outer or lower-outer quadrant of the breast were significantly associated with non-SNL involvement (P<0.001 and P=0.025, respectively). The findings of the present study support the conventional cut-off of 5,000 copies for intraoperative decision to perform ALND, whereas ALND can safely be avoided in patients with tumor located outside the outer or lower-outer quadrant of the breast if the CK19 mRNA copy number is <5,000.

Для цитирования: Pina Heloïse, Salleron Julia, Gilson Pauline, Husson Marie, Rouyer Marie, Leroux Agnes, Rauch Philippe, Marchal Frederic, Käppeli Mathilde, Merlin Jean-Louis, Harlé Alexandre. Intraoperative prediction of non-sentinel lymph node metastases in breast cancer using cytokeratin 19 mRNA copy number: A retrospective analysis.. Molecular and clinical oncology. 2022. DOI: 10.3892/mco.2022.2491.
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