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Histopathological features predict metastatic potential in locally advanced colon carcinomas

BACKGROUND: Metastatic dissemination can exist before a pathologically and clinically detectable manifestation. The structural heterogeneity of colon cancer (CC) in histological sections with respect to the morphology of tumor aggressiveness and composition of the tumor microenvironment raises the q...

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Autores principales: Jayasinghe, Caren, Simiantonaki, Nektaria, Kirkpatrick, Charles James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4307171/
https://www.ncbi.nlm.nih.gov/pubmed/25603809
http://dx.doi.org/10.1186/s12885-015-1013-7
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author Jayasinghe, Caren
Simiantonaki, Nektaria
Kirkpatrick, Charles James
author_facet Jayasinghe, Caren
Simiantonaki, Nektaria
Kirkpatrick, Charles James
author_sort Jayasinghe, Caren
collection PubMed
description BACKGROUND: Metastatic dissemination can exist before a pathologically and clinically detectable manifestation. The structural heterogeneity of colon cancer (CC) in histological sections with respect to the morphology of tumor aggressiveness and composition of the tumor microenvironment raises the question of whether the microscopical tumor architecture enables a discrimination of groups with different metastatic potential. This would result in an assessment of the prognosis and provision of an ancillary tool for the therapeutic management after surgery, beside the estimation of the local tumor extent. METHODS: In order to identify predictive biomarkers for metastasis of locally advanced CC, which can easily be integrated into the pathologist’s daily routine diagnostic activity, we determined tumor budding, peritumoral inflammation, extent of desmoplasia and necrosis, density of macro- and microvascular blood vessels and functional state of lymphatics in the tumor center, invasive margin and tumor-free surrounding tissue in 86 non-metastatic, lymphogenous-metastatic and haematogenous-metastatic, subserosa-invasive CC. RESULTS: Features influencing nodal metastasis in the univariate analysis included high tumor budding (p = 0.004), high large vessel density in the subserosa (p = 0.043), abundant desmoplasia (p = 0.049), non-finger-like desmoplastic pattern (p = 0.051) and absent lymphocellular intratumoral inflammation (p = 0.084). In the multivariate analysis, with the exception of large vessel density, these pathomorphological features were independent risk factors for lymphogenous metastasis (p = 0.023, p = 0.017, p = 0.037, p = 0.012, respectively) with a good discrimination ability (AUC of 0.853). Features associated with distant metastasis in the univariate analysis included high tumor budding (p = 0.002), low intratumoral small vessel density (p = 0.013), absent lymphocellular intratumoral inflammation (p = 0.048) and abundant necrosis (p = 0.073). In the multivariate analysis only tumor budding was an independent predictor for haematogenous metastasis (p = 0.007) with a good discrimination ability (AUC of 0.829). CONCLUSIONS: Thus, mainly tumor budding but also the described structural characteristics of the peritumoral tissue appears to reflect the metastatic potential of locally advanced CC and therefore should be stated in pathological reports.
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spelling pubmed-43071712015-01-28 Histopathological features predict metastatic potential in locally advanced colon carcinomas Jayasinghe, Caren Simiantonaki, Nektaria Kirkpatrick, Charles James BMC Cancer Research Article BACKGROUND: Metastatic dissemination can exist before a pathologically and clinically detectable manifestation. The structural heterogeneity of colon cancer (CC) in histological sections with respect to the morphology of tumor aggressiveness and composition of the tumor microenvironment raises the question of whether the microscopical tumor architecture enables a discrimination of groups with different metastatic potential. This would result in an assessment of the prognosis and provision of an ancillary tool for the therapeutic management after surgery, beside the estimation of the local tumor extent. METHODS: In order to identify predictive biomarkers for metastasis of locally advanced CC, which can easily be integrated into the pathologist’s daily routine diagnostic activity, we determined tumor budding, peritumoral inflammation, extent of desmoplasia and necrosis, density of macro- and microvascular blood vessels and functional state of lymphatics in the tumor center, invasive margin and tumor-free surrounding tissue in 86 non-metastatic, lymphogenous-metastatic and haematogenous-metastatic, subserosa-invasive CC. RESULTS: Features influencing nodal metastasis in the univariate analysis included high tumor budding (p = 0.004), high large vessel density in the subserosa (p = 0.043), abundant desmoplasia (p = 0.049), non-finger-like desmoplastic pattern (p = 0.051) and absent lymphocellular intratumoral inflammation (p = 0.084). In the multivariate analysis, with the exception of large vessel density, these pathomorphological features were independent risk factors for lymphogenous metastasis (p = 0.023, p = 0.017, p = 0.037, p = 0.012, respectively) with a good discrimination ability (AUC of 0.853). Features associated with distant metastasis in the univariate analysis included high tumor budding (p = 0.002), low intratumoral small vessel density (p = 0.013), absent lymphocellular intratumoral inflammation (p = 0.048) and abundant necrosis (p = 0.073). In the multivariate analysis only tumor budding was an independent predictor for haematogenous metastasis (p = 0.007) with a good discrimination ability (AUC of 0.829). CONCLUSIONS: Thus, mainly tumor budding but also the described structural characteristics of the peritumoral tissue appears to reflect the metastatic potential of locally advanced CC and therefore should be stated in pathological reports. BioMed Central 2015-01-21 /pmc/articles/PMC4307171/ /pubmed/25603809 http://dx.doi.org/10.1186/s12885-015-1013-7 Text en © Jayasinghe et al.; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Jayasinghe, Caren
Simiantonaki, Nektaria
Kirkpatrick, Charles James
Histopathological features predict metastatic potential in locally advanced colon carcinomas
title Histopathological features predict metastatic potential in locally advanced colon carcinomas
title_full Histopathological features predict metastatic potential in locally advanced colon carcinomas
title_fullStr Histopathological features predict metastatic potential in locally advanced colon carcinomas
title_full_unstemmed Histopathological features predict metastatic potential in locally advanced colon carcinomas
title_short Histopathological features predict metastatic potential in locally advanced colon carcinomas
title_sort histopathological features predict metastatic potential in locally advanced colon carcinomas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4307171/
https://www.ncbi.nlm.nih.gov/pubmed/25603809
http://dx.doi.org/10.1186/s12885-015-1013-7
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