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Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer

BACKGROUND: Tumor budding is associated with lymph node (LN) metastasis in submucosal colorectal cancer (CRC). However, the rate of LN metastasis associated with the number of tumor buds is unknown. Here, we determined the optimal tumor budding cut-off number and developed a composite scoring system...

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Autores principales: Kim, Jeong-ki, Rhee, Ye-Young, Bae, Jeong Mo, Kim, Jung Ho, Koh, Seong-Joon, Lee, Hyun Jung, Im, Jong Pil, Kim, Min Jung, Ryoo, Seung-Bum, Jeong, Seung-Yong, Park, Kyu Joo, Park, Ji Won, Kang, Gyeong Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357306/
https://www.ncbi.nlm.nih.gov/pubmed/35933369
http://dx.doi.org/10.1186/s12885-022-09957-8
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author Kim, Jeong-ki
Rhee, Ye-Young
Bae, Jeong Mo
Kim, Jung Ho
Koh, Seong-Joon
Lee, Hyun Jung
Im, Jong Pil
Kim, Min Jung
Ryoo, Seung-Bum
Jeong, Seung-Yong
Park, Kyu Joo
Park, Ji Won
Kang, Gyeong Hoon
author_facet Kim, Jeong-ki
Rhee, Ye-Young
Bae, Jeong Mo
Kim, Jung Ho
Koh, Seong-Joon
Lee, Hyun Jung
Im, Jong Pil
Kim, Min Jung
Ryoo, Seung-Bum
Jeong, Seung-Yong
Park, Kyu Joo
Park, Ji Won
Kang, Gyeong Hoon
author_sort Kim, Jeong-ki
collection PubMed
description BACKGROUND: Tumor budding is associated with lymph node (LN) metastasis in submucosal colorectal cancer (CRC). However, the rate of LN metastasis associated with the number of tumor buds is unknown. Here, we determined the optimal tumor budding cut-off number and developed a composite scoring system (CSS) for estimating LN metastasis of submucosal CRC. METHODS: In total, 395 patients with histologically confirmed T1N0–2M0 CRC were evaluated. The clinicopathological characteristics were subjected to univariate and multivariate analyses. The Akaike information criterion (AIC) values of the multivariate models were evaluated to identify the optimal cut-off number. A CSS for LN metastasis was developed using independent risk factors. RESULTS: The prevalence of LN metastasis was 13.2%. Histological differentiation, lymphatic or venous invasion, and tumor budding were associated with LN metastasis in univariate analyses. In multivariate models adjusted for histological differentiation and lymphatic or venous invasion, the AIC value was lowest for five tumor buds. Unfavorable differentiation (odds ratio [OR], 8.16; 95% confidence interval [CI], 1.80–36.89), lymphatic or venous invasion (OR, 5.91; 95% CI, 2.91–11.97), and five or more tumor buds (OR, 3.01; 95% CI, 1.21–7.69) were independent risk factors. In a CSS using these three risk factors, the rates of LN metastasis were 5.6%, 15.5%, 31.0%, and 52.4% for total composite scores of 0, 1, 2, and ≥ 3, respectively. CONCLUSIONS: For the estimation of LN metastasis in submucosal CRC, the optimal tumor budding cut-off number was five. Our CSS can be utilized to estimate LN metastasis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09957-8.
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spelling pubmed-93573062022-08-08 Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer Kim, Jeong-ki Rhee, Ye-Young Bae, Jeong Mo Kim, Jung Ho Koh, Seong-Joon Lee, Hyun Jung Im, Jong Pil Kim, Min Jung Ryoo, Seung-Bum Jeong, Seung-Yong Park, Kyu Joo Park, Ji Won Kang, Gyeong Hoon BMC Cancer Research BACKGROUND: Tumor budding is associated with lymph node (LN) metastasis in submucosal colorectal cancer (CRC). However, the rate of LN metastasis associated with the number of tumor buds is unknown. Here, we determined the optimal tumor budding cut-off number and developed a composite scoring system (CSS) for estimating LN metastasis of submucosal CRC. METHODS: In total, 395 patients with histologically confirmed T1N0–2M0 CRC were evaluated. The clinicopathological characteristics were subjected to univariate and multivariate analyses. The Akaike information criterion (AIC) values of the multivariate models were evaluated to identify the optimal cut-off number. A CSS for LN metastasis was developed using independent risk factors. RESULTS: The prevalence of LN metastasis was 13.2%. Histological differentiation, lymphatic or venous invasion, and tumor budding were associated with LN metastasis in univariate analyses. In multivariate models adjusted for histological differentiation and lymphatic or venous invasion, the AIC value was lowest for five tumor buds. Unfavorable differentiation (odds ratio [OR], 8.16; 95% confidence interval [CI], 1.80–36.89), lymphatic or venous invasion (OR, 5.91; 95% CI, 2.91–11.97), and five or more tumor buds (OR, 3.01; 95% CI, 1.21–7.69) were independent risk factors. In a CSS using these three risk factors, the rates of LN metastasis were 5.6%, 15.5%, 31.0%, and 52.4% for total composite scores of 0, 1, 2, and ≥ 3, respectively. CONCLUSIONS: For the estimation of LN metastasis in submucosal CRC, the optimal tumor budding cut-off number was five. Our CSS can be utilized to estimate LN metastasis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09957-8. BioMed Central 2022-08-06 /pmc/articles/PMC9357306/ /pubmed/35933369 http://dx.doi.org/10.1186/s12885-022-09957-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Kim, Jeong-ki
Rhee, Ye-Young
Bae, Jeong Mo
Kim, Jung Ho
Koh, Seong-Joon
Lee, Hyun Jung
Im, Jong Pil
Kim, Min Jung
Ryoo, Seung-Bum
Jeong, Seung-Yong
Park, Kyu Joo
Park, Ji Won
Kang, Gyeong Hoon
Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer
title Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer
title_full Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer
title_fullStr Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer
title_full_unstemmed Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer
title_short Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer
title_sort composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357306/
https://www.ncbi.nlm.nih.gov/pubmed/35933369
http://dx.doi.org/10.1186/s12885-022-09957-8
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