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Modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma
BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) presents the similar trend and prevalence of lymph node metastasis to other biliary tract cancer. There is still a necessity and possibility for the current classification of lymph node in the 8th TNM of iCCA, which is the same as the criteria of he...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386250/ https://www.ncbi.nlm.nih.gov/pubmed/37516863 http://dx.doi.org/10.1186/s12935-023-03005-6 |
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author | Zhao, Chongyu Li, Xiyuan Luo, Li Chen, Cheng He, Chaobin |
author_facet | Zhao, Chongyu Li, Xiyuan Luo, Li Chen, Cheng He, Chaobin |
author_sort | Zhao, Chongyu |
collection | PubMed |
description | BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) presents the similar trend and prevalence of lymph node metastasis to other biliary tract cancer. There is still a necessity and possibility for the current classification of lymph node in the 8th TNM of iCCA, which is the same as the criteria of hepatoma carcinoma (HCC), to further improve the prognostic capacity. We aim to explore the optimal positive lymph nodes cutoff value that could predict the survival outcomes of patients with iCCA and further establish a prognostic nomogram. METHOD: Clinical characteristics were retrospectively collected in 292 patients with iCCA from Sun Yat-sen University Cancer Center (SYSUCC) for preliminary analysis. A retrospective analysis of 107 patients with iCCA in the First Hospital of Dalian Medical University (FHDMU) was performed for verification. R software was used to determine the optimal cutoff value of positive lymph nodes (PLN) and further establish the nomogram with the Cox regression model in the primary cohort. RESULTS: In those patients who were graded into the N1 stage in 8th TNM staging system, the patients with PLN between 1 and 3 showed significantly better overall survival than those patients with more than 4 PLN (P < 0.0001). Moreover, there was a significant correlation between the new PLN classification and adverse clinical characteristic including Micro Invasion (P = 0.001), Lymph Vessel Invasion (P = 0.040), Satellite Sites (P < 0.001), and Tumor Size (P = 0.005). The PLN and ELN were both independent prognostic factors for survival outcomes in the multivariate analysis, and further showed large contribution to the nomogram. The nomogram achieved a satisfied C-index of 0.813 for overall survival (OS), 0.869 for progression-free survival (PFS) in the primary cohort, and 0.787 for OS, 0.762 for PFS in the validation cohort. CONCLUSION: The modified classification of PLN in iCCA could accurately stratify the N1 stage patients in 8th TNM staging system into two groups with significantly different overall survival. The development of this nomogram can offer new evidence to precisely post-operative management of iCCA patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-023-03005-6. |
format | Online Article Text |
id | pubmed-10386250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103862502023-07-30 Modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma Zhao, Chongyu Li, Xiyuan Luo, Li Chen, Cheng He, Chaobin Cancer Cell Int Research BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) presents the similar trend and prevalence of lymph node metastasis to other biliary tract cancer. There is still a necessity and possibility for the current classification of lymph node in the 8th TNM of iCCA, which is the same as the criteria of hepatoma carcinoma (HCC), to further improve the prognostic capacity. We aim to explore the optimal positive lymph nodes cutoff value that could predict the survival outcomes of patients with iCCA and further establish a prognostic nomogram. METHOD: Clinical characteristics were retrospectively collected in 292 patients with iCCA from Sun Yat-sen University Cancer Center (SYSUCC) for preliminary analysis. A retrospective analysis of 107 patients with iCCA in the First Hospital of Dalian Medical University (FHDMU) was performed for verification. R software was used to determine the optimal cutoff value of positive lymph nodes (PLN) and further establish the nomogram with the Cox regression model in the primary cohort. RESULTS: In those patients who were graded into the N1 stage in 8th TNM staging system, the patients with PLN between 1 and 3 showed significantly better overall survival than those patients with more than 4 PLN (P < 0.0001). Moreover, there was a significant correlation between the new PLN classification and adverse clinical characteristic including Micro Invasion (P = 0.001), Lymph Vessel Invasion (P = 0.040), Satellite Sites (P < 0.001), and Tumor Size (P = 0.005). The PLN and ELN were both independent prognostic factors for survival outcomes in the multivariate analysis, and further showed large contribution to the nomogram. The nomogram achieved a satisfied C-index of 0.813 for overall survival (OS), 0.869 for progression-free survival (PFS) in the primary cohort, and 0.787 for OS, 0.762 for PFS in the validation cohort. CONCLUSION: The modified classification of PLN in iCCA could accurately stratify the N1 stage patients in 8th TNM staging system into two groups with significantly different overall survival. The development of this nomogram can offer new evidence to precisely post-operative management of iCCA patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-023-03005-6. BioMed Central 2023-07-29 /pmc/articles/PMC10386250/ /pubmed/37516863 http://dx.doi.org/10.1186/s12935-023-03005-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhao, Chongyu Li, Xiyuan Luo, Li Chen, Cheng He, Chaobin Modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma |
title | Modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma |
title_full | Modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma |
title_fullStr | Modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma |
title_full_unstemmed | Modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma |
title_short | Modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma |
title_sort | modified staging system of positive lymph nodes based nomogram in intrahepatic cholangiocarcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386250/ https://www.ncbi.nlm.nih.gov/pubmed/37516863 http://dx.doi.org/10.1186/s12935-023-03005-6 |
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