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Should the Number of Metastatic Pelvic Lymph Nodes Be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer?

Introduction: Lymph node status has become part of the new staging system for cervical cancer (CC). It has been shown that patients staged as IIIC1 had heterogeneous prognoses and, in some cases, experienced better outcomes than patients with lower stages. We evaluated the impact of the number of me...

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Autores principales: Pedone Anchora, Luigi, Carbone, Vittoria, Gallotta, Valerio, Fanfani, Francesco, Cosentino, Francesco, Turco, Luigi Carlo, Fedele, Camilla, Bizzarri, Nicolò, Scambia, Giovanni, Ferrandina, Gabriella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352475/
https://www.ncbi.nlm.nih.gov/pubmed/32545508
http://dx.doi.org/10.3390/cancers12061552
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author Pedone Anchora, Luigi
Carbone, Vittoria
Gallotta, Valerio
Fanfani, Francesco
Cosentino, Francesco
Turco, Luigi Carlo
Fedele, Camilla
Bizzarri, Nicolò
Scambia, Giovanni
Ferrandina, Gabriella
author_facet Pedone Anchora, Luigi
Carbone, Vittoria
Gallotta, Valerio
Fanfani, Francesco
Cosentino, Francesco
Turco, Luigi Carlo
Fedele, Camilla
Bizzarri, Nicolò
Scambia, Giovanni
Ferrandina, Gabriella
author_sort Pedone Anchora, Luigi
collection PubMed
description Introduction: Lymph node status has become part of the new staging system for cervical cancer (CC). It has been shown that patients staged as IIIC1 had heterogeneous prognoses and, in some cases, experienced better outcomes than patients with lower stages. We evaluated the impact of the number of metastatic pelvic lymph nodes (MPLNs) among patients with stage IIIC1 cervical cancer. Methods: Survival analyses were conducted in order to identify the best cut-off prognostic value relative to the number of MPLNs. Disease free survival (DFS) was considered the main outcome. Results: 541 patients were included in the study. Eighty-nine patients were of stage IIIC1. The best prognostic cut-off value of the number of MPLNs was 2. Patients with >2 MPLNs (n > 2 group) had worse DFS compared with those having <2 (N1-2 group) (5 yr DFS: 54.7% vs. 78.1%, p value = 0.006). Multivariate analyses demonstrated that the extent of MPLNs had little impact on DFS and that replacement of IIIC1 staging with N1-2 and n > 2 grouping provided a better, statistically significant model (p value = 0.006). Discussion: Using a cut-off value of 2, the number of MPLNs could better predict prognostic outcomes within stage IIIC1 cervical cancer and have potential implications for therapeutic decision-making in the treatment of patients with stage IIIC1 CC.
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spelling pubmed-73524752020-07-15 Should the Number of Metastatic Pelvic Lymph Nodes Be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer? Pedone Anchora, Luigi Carbone, Vittoria Gallotta, Valerio Fanfani, Francesco Cosentino, Francesco Turco, Luigi Carlo Fedele, Camilla Bizzarri, Nicolò Scambia, Giovanni Ferrandina, Gabriella Cancers (Basel) Article Introduction: Lymph node status has become part of the new staging system for cervical cancer (CC). It has been shown that patients staged as IIIC1 had heterogeneous prognoses and, in some cases, experienced better outcomes than patients with lower stages. We evaluated the impact of the number of metastatic pelvic lymph nodes (MPLNs) among patients with stage IIIC1 cervical cancer. Methods: Survival analyses were conducted in order to identify the best cut-off prognostic value relative to the number of MPLNs. Disease free survival (DFS) was considered the main outcome. Results: 541 patients were included in the study. Eighty-nine patients were of stage IIIC1. The best prognostic cut-off value of the number of MPLNs was 2. Patients with >2 MPLNs (n > 2 group) had worse DFS compared with those having <2 (N1-2 group) (5 yr DFS: 54.7% vs. 78.1%, p value = 0.006). Multivariate analyses demonstrated that the extent of MPLNs had little impact on DFS and that replacement of IIIC1 staging with N1-2 and n > 2 grouping provided a better, statistically significant model (p value = 0.006). Discussion: Using a cut-off value of 2, the number of MPLNs could better predict prognostic outcomes within stage IIIC1 cervical cancer and have potential implications for therapeutic decision-making in the treatment of patients with stage IIIC1 CC. MDPI 2020-06-12 /pmc/articles/PMC7352475/ /pubmed/32545508 http://dx.doi.org/10.3390/cancers12061552 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pedone Anchora, Luigi
Carbone, Vittoria
Gallotta, Valerio
Fanfani, Francesco
Cosentino, Francesco
Turco, Luigi Carlo
Fedele, Camilla
Bizzarri, Nicolò
Scambia, Giovanni
Ferrandina, Gabriella
Should the Number of Metastatic Pelvic Lymph Nodes Be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer?
title Should the Number of Metastatic Pelvic Lymph Nodes Be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer?
title_full Should the Number of Metastatic Pelvic Lymph Nodes Be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer?
title_fullStr Should the Number of Metastatic Pelvic Lymph Nodes Be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer?
title_full_unstemmed Should the Number of Metastatic Pelvic Lymph Nodes Be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer?
title_short Should the Number of Metastatic Pelvic Lymph Nodes Be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer?
title_sort should the number of metastatic pelvic lymph nodes be integrated into the 2018 figo staging classification of early stage cervical cancer?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352475/
https://www.ncbi.nlm.nih.gov/pubmed/32545508
http://dx.doi.org/10.3390/cancers12061552
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