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Novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma
AIM: To evaluate a novel grading system to predict lymph node metastasis (LNM) in patients with submucosal invasive colorectal carcinoma (SICRC). METHODS: We analyzed the associations between LNM and various clinicopathological features in 252 patients with SICRC who had undergone radical surgery at...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583578/ https://www.ncbi.nlm.nih.gov/pubmed/28932085 http://dx.doi.org/10.3748/wjg.v23.i32.5936 |
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author | Yim, Kwangil Won, Daeyoun David Lee, In Kyu Oh, Seong-Taek Jung, Eun Sun Lee, Sung Hak |
author_facet | Yim, Kwangil Won, Daeyoun David Lee, In Kyu Oh, Seong-Taek Jung, Eun Sun Lee, Sung Hak |
author_sort | Yim, Kwangil |
collection | PubMed |
description | AIM: To evaluate a novel grading system to predict lymph node metastasis (LNM) in patients with submucosal invasive colorectal carcinoma (SICRC). METHODS: We analyzed the associations between LNM and various clinicopathological features in 252 patients with SICRC who had undergone radical surgery at the Seoul Saint Mary’s hospital between 2000 and 2015. RESULTS: LNM was observed in 31 patients (12.3%). The depth and width of the submucosal invasion, lymphatic invasion, tumor budding, and the presence of poorly differentiated clusters (PDCs) were significantly associated with the incidence of LNM. Using multivariate analysis, the receiver operating characteristic curvewas calculated and the area under curve (AUC) was used to compare the ability of the different parameters to identify the risk of LNM. The most powerful clinicopathological parameter for predicting LNM was lymphatic invasion (difference AUC = 0.204), followed by the presence or absence of tumor budding (difference AUC = 0.190), presence of PDCs (difference AUC = 0.172) and tumor budding graded by the Ueno method (difference AUC = 0.128). CONCLUSION: Our results indicate that the tumor budding and the depth multiplied by the width measurements of submucosal invasion can provide important information for patients with SICRC. |
format | Online Article Text |
id | pubmed-5583578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-55835782017-09-20 Novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma Yim, Kwangil Won, Daeyoun David Lee, In Kyu Oh, Seong-Taek Jung, Eun Sun Lee, Sung Hak World J Gastroenterol Observational Study AIM: To evaluate a novel grading system to predict lymph node metastasis (LNM) in patients with submucosal invasive colorectal carcinoma (SICRC). METHODS: We analyzed the associations between LNM and various clinicopathological features in 252 patients with SICRC who had undergone radical surgery at the Seoul Saint Mary’s hospital between 2000 and 2015. RESULTS: LNM was observed in 31 patients (12.3%). The depth and width of the submucosal invasion, lymphatic invasion, tumor budding, and the presence of poorly differentiated clusters (PDCs) were significantly associated with the incidence of LNM. Using multivariate analysis, the receiver operating characteristic curvewas calculated and the area under curve (AUC) was used to compare the ability of the different parameters to identify the risk of LNM. The most powerful clinicopathological parameter for predicting LNM was lymphatic invasion (difference AUC = 0.204), followed by the presence or absence of tumor budding (difference AUC = 0.190), presence of PDCs (difference AUC = 0.172) and tumor budding graded by the Ueno method (difference AUC = 0.128). CONCLUSION: Our results indicate that the tumor budding and the depth multiplied by the width measurements of submucosal invasion can provide important information for patients with SICRC. Baishideng Publishing Group Inc 2017-08-28 2017-08-28 /pmc/articles/PMC5583578/ /pubmed/28932085 http://dx.doi.org/10.3748/wjg.v23.i32.5936 Text en ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Observational Study Yim, Kwangil Won, Daeyoun David Lee, In Kyu Oh, Seong-Taek Jung, Eun Sun Lee, Sung Hak Novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma |
title | Novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma |
title_full | Novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma |
title_fullStr | Novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma |
title_full_unstemmed | Novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma |
title_short | Novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma |
title_sort | novel predictors for lymph node metastasis in submucosal invasive colorectal carcinoma |
topic | Observational Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583578/ https://www.ncbi.nlm.nih.gov/pubmed/28932085 http://dx.doi.org/10.3748/wjg.v23.i32.5936 |
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