Cargando…

Evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study

BACKGROUND: Lymph node metastasis (LNM) is a well-established prognostic factor for intrahepatic cholangiocarcinoma (ICC), but there are still some controversies relating to the evaluation of nodal status. Therefore, we investigated the role of lymph node dissection (LND), compared the prognostic pe...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xiaoyuan, Rong, Dawei, Zhang, Long, Ni, Chuangye, Han, Guoyong, Lu, Yiwei, Chen, Xuejiao, Gao, Yun, Wang, Xuehao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506549/
https://www.ncbi.nlm.nih.gov/pubmed/34733911
http://dx.doi.org/10.21037/atm-21-2785
_version_ 1784581724407070720
author Chen, Xiaoyuan
Rong, Dawei
Zhang, Long
Ni, Chuangye
Han, Guoyong
Lu, Yiwei
Chen, Xuejiao
Gao, Yun
Wang, Xuehao
author_facet Chen, Xiaoyuan
Rong, Dawei
Zhang, Long
Ni, Chuangye
Han, Guoyong
Lu, Yiwei
Chen, Xuejiao
Gao, Yun
Wang, Xuehao
author_sort Chen, Xiaoyuan
collection PubMed
description BACKGROUND: Lymph node metastasis (LNM) is a well-established prognostic factor for intrahepatic cholangiocarcinoma (ICC), but there are still some controversies relating to the evaluation of nodal status. Therefore, we investigated the role of lymph node dissection (LND), compared the prognostic performances of different nodal staging systems, and then developed and validated a nomogram to predict cancer-specific survival (CSS) of ICC patients. METHODS: The study cohort was taken from the Surveillance, Epidemiology, and End Results database. Akaike information criterion, Bayesian information criterion, Harrell’s C-index and area under the receiver operating characteristic curves were calculated to evaluate the different staging models. The nomogram for the CSS was constructed based on Cox regression models and validated by calibration curves. Decision curve analysis was introduced to examine the clinical value of the models. RESULTS: A total of 664 patients were enrolled, and 331 (51.4%) patients underwent LND. An increasing number of lymph nodes retrieved showed no oncologic benefit (P=0.876). LNM was identified in 103 (31.1%) patients, which was the cause of their poor prognoses (5-yr CSS 13.1% versus 44.9%, P<0.001). Patients without LNM could not benefit from adjuvant therapy after propensity score matching (P=0.140). Based on the Youden index, 4 or more lymph nodes retrieved might be adequate for accurate staging. The lymph node ratio (LNR) classification, with an optimal cut-off value of 0.15, displayed the best prognostic performance. Age, size, tumor number, T Stage, grade and the LNR classification were independent predictive factors for the CSS in ICC patients. The nomogram for predicting the CSS of ICC patients according to the independent factors was well calibrated and it showed better discrimination power and higher net benefits than the American Joint Committee on Cancer (8th edition) staging system. CONCLUSIONS: LNM is an independent prognostic factor in ICC. Although it shows no oncologic benefits, LND should still be considered as a method of stratifying patients, with 4 or more lymph nodes retrieved potentially enough to do so. LNR appears to be a promising and easy-to-use prognosticator for nodal staging. The constructed nomogram could serve as an effective tool to predict the CSS probabilities of ICC patients.
format Online
Article
Text
id pubmed-8506549
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-85065492021-11-02 Evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study Chen, Xiaoyuan Rong, Dawei Zhang, Long Ni, Chuangye Han, Guoyong Lu, Yiwei Chen, Xuejiao Gao, Yun Wang, Xuehao Ann Transl Med Original Article BACKGROUND: Lymph node metastasis (LNM) is a well-established prognostic factor for intrahepatic cholangiocarcinoma (ICC), but there are still some controversies relating to the evaluation of nodal status. Therefore, we investigated the role of lymph node dissection (LND), compared the prognostic performances of different nodal staging systems, and then developed and validated a nomogram to predict cancer-specific survival (CSS) of ICC patients. METHODS: The study cohort was taken from the Surveillance, Epidemiology, and End Results database. Akaike information criterion, Bayesian information criterion, Harrell’s C-index and area under the receiver operating characteristic curves were calculated to evaluate the different staging models. The nomogram for the CSS was constructed based on Cox regression models and validated by calibration curves. Decision curve analysis was introduced to examine the clinical value of the models. RESULTS: A total of 664 patients were enrolled, and 331 (51.4%) patients underwent LND. An increasing number of lymph nodes retrieved showed no oncologic benefit (P=0.876). LNM was identified in 103 (31.1%) patients, which was the cause of their poor prognoses (5-yr CSS 13.1% versus 44.9%, P<0.001). Patients without LNM could not benefit from adjuvant therapy after propensity score matching (P=0.140). Based on the Youden index, 4 or more lymph nodes retrieved might be adequate for accurate staging. The lymph node ratio (LNR) classification, with an optimal cut-off value of 0.15, displayed the best prognostic performance. Age, size, tumor number, T Stage, grade and the LNR classification were independent predictive factors for the CSS in ICC patients. The nomogram for predicting the CSS of ICC patients according to the independent factors was well calibrated and it showed better discrimination power and higher net benefits than the American Joint Committee on Cancer (8th edition) staging system. CONCLUSIONS: LNM is an independent prognostic factor in ICC. Although it shows no oncologic benefits, LND should still be considered as a method of stratifying patients, with 4 or more lymph nodes retrieved potentially enough to do so. LNR appears to be a promising and easy-to-use prognosticator for nodal staging. The constructed nomogram could serve as an effective tool to predict the CSS probabilities of ICC patients. AME Publishing Company 2021-09 /pmc/articles/PMC8506549/ /pubmed/34733911 http://dx.doi.org/10.21037/atm-21-2785 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Chen, Xiaoyuan
Rong, Dawei
Zhang, Long
Ni, Chuangye
Han, Guoyong
Lu, Yiwei
Chen, Xuejiao
Gao, Yun
Wang, Xuehao
Evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study
title Evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study
title_full Evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study
title_fullStr Evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study
title_full_unstemmed Evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study
title_short Evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study
title_sort evaluation of nodal status in intrahepatic cholangiocarcinoma: a population-based study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506549/
https://www.ncbi.nlm.nih.gov/pubmed/34733911
http://dx.doi.org/10.21037/atm-21-2785
work_keys_str_mv AT chenxiaoyuan evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy
AT rongdawei evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy
AT zhanglong evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy
AT nichuangye evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy
AT hanguoyong evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy
AT luyiwei evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy
AT chenxuejiao evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy
AT gaoyun evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy
AT wangxuehao evaluationofnodalstatusinintrahepaticcholangiocarcinomaapopulationbasedstudy