Cargando…

Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients

Objective: To compare the prognostic predictive performance of six lymph node (LN) staging schemes: American Joint Committee on Cancer (AJCC) N stage, number of retrieved lymph nodes (NRLN), number of positive lymph nodes (NPLN), number of negative lymph nodes (NNLN), lymph node ratio (LNR), and log...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Xi-Lin, Huang, Nan, Wang, Ming-Ming, Lai, Hua, Wu, Da-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298894/
https://www.ncbi.nlm.nih.gov/pubmed/34307415
http://dx.doi.org/10.3389/fmed.2021.688535
_version_ 1783726150681362432
author Yang, Xi-Lin
Huang, Nan
Wang, Ming-Ming
Lai, Hua
Wu, Da-Jun
author_facet Yang, Xi-Lin
Huang, Nan
Wang, Ming-Ming
Lai, Hua
Wu, Da-Jun
author_sort Yang, Xi-Lin
collection PubMed
description Objective: To compare the prognostic predictive performance of six lymph node (LN) staging schemes: American Joint Committee on Cancer (AJCC) N stage, number of retrieved lymph nodes (NRLN), number of positive lymph nodes (NPLN), number of negative lymph nodes (NNLN), lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) among node-positive endometrioid endometrial cancer (EEC) patients. Methods: A total of 3,533 patients diagnosed with node-positive EEC between 2010 and 2016 from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively analyzed. We applied X-tile software to identify the optimal cutoff value for different staging schemes. Univariate and multivariate Cox regression models were used to assess the relationships between different LN schemes and survival outcomes [disease-specific survival (DSS) and overall survival (OS)]. Moreover, Akaike information criterion (AIC) and Harrell concordance index (C-index) were used to evaluate the predictive performance of each scheme in both continuous and categorical patterns. Results: N stage (N1/N2) was not an independent prognostic factor for node-positive EEC patients based on multivariate analysis (DSS: p = 0.235; OS: p = 0.145). Multivariate model incorporating LNR demonstrated the most superior goodness of fit regardless of continuous or categorical pattern. Regarding discrimination power of the models, LNR outperformed other models in categorical pattern (OS: C-index = 0.735; DSS: C-index = 0.737); however, LODDS obtained the highest C-index in continuous pattern (OS: 0.736; DSS: 0.739). Conclusions: N stage (N1/N2) was unable to differentiate the prognosis for node-positive EEC patients in our study. However, LNR and LODDS schemes seemed to have a better predictive performance for these patients than other number-based LN schemes whether in DSS or OS, which revealed that LNR and LODDS should be more helpful in prognosis assessment for node-positive EEC patients than AJCC N stage.
format Online
Article
Text
id pubmed-8298894
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-82988942021-07-24 Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients Yang, Xi-Lin Huang, Nan Wang, Ming-Ming Lai, Hua Wu, Da-Jun Front Med (Lausanne) Medicine Objective: To compare the prognostic predictive performance of six lymph node (LN) staging schemes: American Joint Committee on Cancer (AJCC) N stage, number of retrieved lymph nodes (NRLN), number of positive lymph nodes (NPLN), number of negative lymph nodes (NNLN), lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) among node-positive endometrioid endometrial cancer (EEC) patients. Methods: A total of 3,533 patients diagnosed with node-positive EEC between 2010 and 2016 from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively analyzed. We applied X-tile software to identify the optimal cutoff value for different staging schemes. Univariate and multivariate Cox regression models were used to assess the relationships between different LN schemes and survival outcomes [disease-specific survival (DSS) and overall survival (OS)]. Moreover, Akaike information criterion (AIC) and Harrell concordance index (C-index) were used to evaluate the predictive performance of each scheme in both continuous and categorical patterns. Results: N stage (N1/N2) was not an independent prognostic factor for node-positive EEC patients based on multivariate analysis (DSS: p = 0.235; OS: p = 0.145). Multivariate model incorporating LNR demonstrated the most superior goodness of fit regardless of continuous or categorical pattern. Regarding discrimination power of the models, LNR outperformed other models in categorical pattern (OS: C-index = 0.735; DSS: C-index = 0.737); however, LODDS obtained the highest C-index in continuous pattern (OS: 0.736; DSS: 0.739). Conclusions: N stage (N1/N2) was unable to differentiate the prognosis for node-positive EEC patients in our study. However, LNR and LODDS schemes seemed to have a better predictive performance for these patients than other number-based LN schemes whether in DSS or OS, which revealed that LNR and LODDS should be more helpful in prognosis assessment for node-positive EEC patients than AJCC N stage. Frontiers Media S.A. 2021-07-09 /pmc/articles/PMC8298894/ /pubmed/34307415 http://dx.doi.org/10.3389/fmed.2021.688535 Text en Copyright © 2021 Yang, Huang, Wang, Lai and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Yang, Xi-Lin
Huang, Nan
Wang, Ming-Ming
Lai, Hua
Wu, Da-Jun
Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients
title Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients
title_full Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients
title_fullStr Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients
title_full_unstemmed Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients
title_short Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients
title_sort comparison of different lymph node staging schemes for predicting survival outcomes in node-positive endometrioid endometrial cancer patients
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298894/
https://www.ncbi.nlm.nih.gov/pubmed/34307415
http://dx.doi.org/10.3389/fmed.2021.688535
work_keys_str_mv AT yangxilin comparisonofdifferentlymphnodestagingschemesforpredictingsurvivaloutcomesinnodepositiveendometrioidendometrialcancerpatients
AT huangnan comparisonofdifferentlymphnodestagingschemesforpredictingsurvivaloutcomesinnodepositiveendometrioidendometrialcancerpatients
AT wangmingming comparisonofdifferentlymphnodestagingschemesforpredictingsurvivaloutcomesinnodepositiveendometrioidendometrialcancerpatients
AT laihua comparisonofdifferentlymphnodestagingschemesforpredictingsurvivaloutcomesinnodepositiveendometrioidendometrialcancerpatients
AT wudajun comparisonofdifferentlymphnodestagingschemesforpredictingsurvivaloutcomesinnodepositiveendometrioidendometrialcancerpatients