Cargando…

A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients

Since 2007, one-step nucleic acid amplification (OSNA) has been used as a diagnostic system for sentinel lymph node (SLN) examination in patients with breast cancer. This study aimed to define a new clinical cut-off of CK19 mRNA copy number based on the calculation of the risk that an axillary lymph...

Descripción completa

Detalles Bibliográficos
Autores principales: Terrenato, Irene, D’Alicandro, Valerio, Casini, Beatrice, Perracchio, Letizia, Rollo, Francesca, De Salvo, Laura, Di Filippo, Simona, Di Filippo, Franco, Pescarmona, Edoardo, Maugeri-Saccà, Marcello, Mottolese, Marcella, Buglioni, Simonetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302783/
https://www.ncbi.nlm.nih.gov/pubmed/28187209
http://dx.doi.org/10.1371/journal.pone.0171517
_version_ 1782506611275726848
author Terrenato, Irene
D’Alicandro, Valerio
Casini, Beatrice
Perracchio, Letizia
Rollo, Francesca
De Salvo, Laura
Di Filippo, Simona
Di Filippo, Franco
Pescarmona, Edoardo
Maugeri-Saccà, Marcello
Mottolese, Marcella
Buglioni, Simonetta
author_facet Terrenato, Irene
D’Alicandro, Valerio
Casini, Beatrice
Perracchio, Letizia
Rollo, Francesca
De Salvo, Laura
Di Filippo, Simona
Di Filippo, Franco
Pescarmona, Edoardo
Maugeri-Saccà, Marcello
Mottolese, Marcella
Buglioni, Simonetta
author_sort Terrenato, Irene
collection PubMed
description Since 2007, one-step nucleic acid amplification (OSNA) has been used as a diagnostic system for sentinel lymph node (SLN) examination in patients with breast cancer. This study aimed to define a new clinical cut-off of CK19 mRNA copy number based on the calculation of the risk that an axillary lymph node dissection (ALND) will be positive. We analyzed 1529 SLNs from 1140 patients with the OSNA assay and 318 patients with positive SLNs for micrometastasis (250 copies) and macrometastasis (5000 copies) underwent ALND. Axillary non–SLNs were routinely examined. ROC curves and Youden’s index were performed in order to identify a new cut-off value. Logistic regression models were performed in order to compare OSNA categorical variables created on the basis of our and traditional cut-off to better identify patients who really need an axillary dissection. 69% and 31% of OSNA positive patients had a negative and positive ALND, respectively. ROC analysis identified a cut-off of 2150 CK19 mRNA copies with 95% sensitivity and 51% specificity. Positive and negative predictive values of this new cut-off were 47% and 96%, respectively. Logistic regression models indicated that the cut-off of 2150 copies better discriminates patients with node negative or positive in comparison with the conventional OSNA cut-off (p<0.0001). This cut-off identifies false positive and false negative cases and true-positive and true negative cases very efficiently, and therefore better identifies which patients really need an ALND and which patients can avoid one. This is why we suggest that the negative cut-off should be raised from 250 to 2150. Furthermore, we propose that for patients with a copy number that ranges between 2150 and 5000, there should be a multidisciplinary discussion concerning the clinical and bio-morphological features of primary breast cancer before any decision is taken on whether to perform an ALND or not.
format Online
Article
Text
id pubmed-5302783
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-53027832017-02-28 A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients Terrenato, Irene D’Alicandro, Valerio Casini, Beatrice Perracchio, Letizia Rollo, Francesca De Salvo, Laura Di Filippo, Simona Di Filippo, Franco Pescarmona, Edoardo Maugeri-Saccà, Marcello Mottolese, Marcella Buglioni, Simonetta PLoS One Research Article Since 2007, one-step nucleic acid amplification (OSNA) has been used as a diagnostic system for sentinel lymph node (SLN) examination in patients with breast cancer. This study aimed to define a new clinical cut-off of CK19 mRNA copy number based on the calculation of the risk that an axillary lymph node dissection (ALND) will be positive. We analyzed 1529 SLNs from 1140 patients with the OSNA assay and 318 patients with positive SLNs for micrometastasis (250 copies) and macrometastasis (5000 copies) underwent ALND. Axillary non–SLNs were routinely examined. ROC curves and Youden’s index were performed in order to identify a new cut-off value. Logistic regression models were performed in order to compare OSNA categorical variables created on the basis of our and traditional cut-off to better identify patients who really need an axillary dissection. 69% and 31% of OSNA positive patients had a negative and positive ALND, respectively. ROC analysis identified a cut-off of 2150 CK19 mRNA copies with 95% sensitivity and 51% specificity. Positive and negative predictive values of this new cut-off were 47% and 96%, respectively. Logistic regression models indicated that the cut-off of 2150 copies better discriminates patients with node negative or positive in comparison with the conventional OSNA cut-off (p<0.0001). This cut-off identifies false positive and false negative cases and true-positive and true negative cases very efficiently, and therefore better identifies which patients really need an ALND and which patients can avoid one. This is why we suggest that the negative cut-off should be raised from 250 to 2150. Furthermore, we propose that for patients with a copy number that ranges between 2150 and 5000, there should be a multidisciplinary discussion concerning the clinical and bio-morphological features of primary breast cancer before any decision is taken on whether to perform an ALND or not. Public Library of Science 2017-02-10 /pmc/articles/PMC5302783/ /pubmed/28187209 http://dx.doi.org/10.1371/journal.pone.0171517 Text en © 2017 Terrenato et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Terrenato, Irene
D’Alicandro, Valerio
Casini, Beatrice
Perracchio, Letizia
Rollo, Francesca
De Salvo, Laura
Di Filippo, Simona
Di Filippo, Franco
Pescarmona, Edoardo
Maugeri-Saccà, Marcello
Mottolese, Marcella
Buglioni, Simonetta
A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients
title A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients
title_full A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients
title_fullStr A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients
title_full_unstemmed A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients
title_short A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients
title_sort cut-off of 2150 cytokeratin 19 mrna copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302783/
https://www.ncbi.nlm.nih.gov/pubmed/28187209
http://dx.doi.org/10.1371/journal.pone.0171517
work_keys_str_mv AT terrenatoirene acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT dalicandrovalerio acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT casinibeatrice acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT perracchioletizia acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT rollofrancesca acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT desalvolaura acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT difilipposimona acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT difilippofranco acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT pescarmonaedoardo acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT maugerisaccamarcello acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT mottolesemarcella acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT buglionisimonetta acutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT terrenatoirene cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT dalicandrovalerio cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT casinibeatrice cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT perracchioletizia cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT rollofrancesca cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT desalvolaura cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT difilipposimona cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT difilippofranco cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT pescarmonaedoardo cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT maugerisaccamarcello cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT mottolesemarcella cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients
AT buglionisimonetta cutoffof2150cytokeratin19mrnacopynumberinsentinellymphnodemaybeapowerfulpredictorofnonsentinellymphnodestatusinbreastcancerpatients