Title |
Intraoperative molecular analysis of total tumor load in sentinel lymph node: a new predictor of axillary status in early breast cancer patients
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Published in |
Breast Cancer Research and Treatment, April 2013
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DOI | 10.1007/s10549-013-2524-z |
Pubmed ID | |
Authors |
Vicente Peg, Martín Espinosa-Bravo, Begoña Vieites, Felip Vilardell, José R. Antúnez, Magdalena Sancho de Salas, Julio J. Delgado-Sánchez, Willy Pinto, Francisco Gozalbo, Anna Petit, Irene Sansano, María del Mar Téllez, Isabel T. Rubio |
Abstract |
To assess the intraoperative positive sentinel lymph node (SLN) total tumor load (TTL, defined as the amount of CK19 mRNA copies [copies/μL] in all positive SLNs) obtained by one-step nucleic acid amplification (OSNA) and to determine whether it is predictive of non-SLNs involvement. SUMMARY/BACKGROUND/DATA: The OSNA assay (Sysmex Corporation, Kobe, Japan) is a new diagnostic technique that uses molecular biological techniques to analyze SLN that has been validated as an accurate method for detection of positive SLN. Although the American College of Surgeons Oncology Group Z0011 trial has defined a select cohort of patients in whom a completion axillary lymph node dissection (cALND) may be safely omitted, there are a still a number of patients where prediction of non-SLN metastasis may be helpful for cALND decision making. Multiple studies suggest that specific pathologic characteristics of the primary tumor and the SLN metastases are associated with an increased likelihood of additional positive non-SLN. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 1% |
Unknown | 77 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 9 | 12% |
Professor > Associate Professor | 9 | 12% |
Researcher | 8 | 10% |
Student > Doctoral Student | 8 | 10% |
Student > Master | 8 | 10% |
Other | 20 | 26% |
Unknown | 16 | 21% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 42 | 54% |
Agricultural and Biological Sciences | 5 | 6% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Economics, Econometrics and Finance | 2 | 3% |
Arts and Humanities | 1 | 1% |
Other | 5 | 6% |
Unknown | 20 | 26% |