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Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach

The presence of invasive cell clusters known as tumor budding and the closely related epithelial mesenchymal transition (EMT) have a prognostic impact on cancer patients' overall survival. Interestingly, data quantitatively analyzing and correlating the amount of tumor buds and patient overall...

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Autores principales: Kocsmár, Éva, Lotz, Gábor, Kiss, András, Hoerner, Markus, Petrova, Ekaterina, Freudenberg, Nikolaus, Csanádi, Ágnes, Kulemann, Birte, Werner, Martin, Bronsert, Peter, Wellner, Ulrich Friedrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545681/
https://www.ncbi.nlm.nih.gov/pubmed/33046968
http://dx.doi.org/10.7150/jca.46093
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author Kocsmár, Éva
Lotz, Gábor
Kiss, András
Hoerner, Markus
Petrova, Ekaterina
Freudenberg, Nikolaus
Csanádi, Ágnes
Kulemann, Birte
Werner, Martin
Bronsert, Peter
Wellner, Ulrich Friedrich
author_facet Kocsmár, Éva
Lotz, Gábor
Kiss, András
Hoerner, Markus
Petrova, Ekaterina
Freudenberg, Nikolaus
Csanádi, Ágnes
Kulemann, Birte
Werner, Martin
Bronsert, Peter
Wellner, Ulrich Friedrich
author_sort Kocsmár, Éva
collection PubMed
description The presence of invasive cell clusters known as tumor budding and the closely related epithelial mesenchymal transition (EMT) have a prognostic impact on cancer patients' overall survival. Interestingly, data quantitatively analyzing and correlating the amount of tumor buds and patient overall survival as well as the impact of expression of epithelial phenotype markers are missing. Periampullary carcinoma samples of 171 patients were immunohistochemically stained for E-Cadherin (ECad). Tumor cell clusters (TCC, defined from one to 50 cells) were manually quantified comprising tumor cell number and subcellular localization of ECad expression (membranous, cytoplasmic or mixed). Data analyses were performed using elastic net feature selection. Hereby, five distinct intervals of TCC sizes and corresponding fractions of cells with distinct ECad expression were identified. Prognostic features of the defined budding categories were entered into a subsequent Cox regression model together with standard clinicopathological parameters and, based on the model prediction, cases were categorized into “low and high budding” grades. Overall median TCC size was 16 cells (range: 2-36 cells). The median number of TCCs per tumor was 42 (range: 3-283). Elastic net feature selection identified TCCs of 6-10 and 31-35 cells as prognostically most relevant negative and positive features, respectively. Regarding ECad expression, cytoplasmic ECad expression in TCCs of 11-15 as well as of 26-30 cells revealed prognostic relevance. Combining TCC numbers and ECad expression, budding grade qualified as independent prognostic factor for patient overall survival (p<0.001) in a multivariable clinicopathologic Cox model. Applying an advanced modelling by machine learning on a cohort of periampullary cancers, we show that not the smallest TCCs (1-5 cells) but tumor cell nests containing 6-10 cells display the strongest negative prognostic relevance. Moreover, we demonstrate that larger TCCs might have a strong positive prognostic impact in periampullary adenocarcinomas, contributing to establishing an advanced grading system.
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spelling pubmed-75456812020-10-11 Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach Kocsmár, Éva Lotz, Gábor Kiss, András Hoerner, Markus Petrova, Ekaterina Freudenberg, Nikolaus Csanádi, Ágnes Kulemann, Birte Werner, Martin Bronsert, Peter Wellner, Ulrich Friedrich J Cancer Research Paper The presence of invasive cell clusters known as tumor budding and the closely related epithelial mesenchymal transition (EMT) have a prognostic impact on cancer patients' overall survival. Interestingly, data quantitatively analyzing and correlating the amount of tumor buds and patient overall survival as well as the impact of expression of epithelial phenotype markers are missing. Periampullary carcinoma samples of 171 patients were immunohistochemically stained for E-Cadherin (ECad). Tumor cell clusters (TCC, defined from one to 50 cells) were manually quantified comprising tumor cell number and subcellular localization of ECad expression (membranous, cytoplasmic or mixed). Data analyses were performed using elastic net feature selection. Hereby, five distinct intervals of TCC sizes and corresponding fractions of cells with distinct ECad expression were identified. Prognostic features of the defined budding categories were entered into a subsequent Cox regression model together with standard clinicopathological parameters and, based on the model prediction, cases were categorized into “low and high budding” grades. Overall median TCC size was 16 cells (range: 2-36 cells). The median number of TCCs per tumor was 42 (range: 3-283). Elastic net feature selection identified TCCs of 6-10 and 31-35 cells as prognostically most relevant negative and positive features, respectively. Regarding ECad expression, cytoplasmic ECad expression in TCCs of 11-15 as well as of 26-30 cells revealed prognostic relevance. Combining TCC numbers and ECad expression, budding grade qualified as independent prognostic factor for patient overall survival (p<0.001) in a multivariable clinicopathologic Cox model. Applying an advanced modelling by machine learning on a cohort of periampullary cancers, we show that not the smallest TCCs (1-5 cells) but tumor cell nests containing 6-10 cells display the strongest negative prognostic relevance. Moreover, we demonstrate that larger TCCs might have a strong positive prognostic impact in periampullary adenocarcinomas, contributing to establishing an advanced grading system. Ivyspring International Publisher 2020-09-17 /pmc/articles/PMC7545681/ /pubmed/33046968 http://dx.doi.org/10.7150/jca.46093 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Kocsmár, Éva
Lotz, Gábor
Kiss, András
Hoerner, Markus
Petrova, Ekaterina
Freudenberg, Nikolaus
Csanádi, Ágnes
Kulemann, Birte
Werner, Martin
Bronsert, Peter
Wellner, Ulrich Friedrich
Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach
title Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach
title_full Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach
title_fullStr Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach
title_full_unstemmed Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach
title_short Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach
title_sort prognostic impact of tumor budding and emt in periampullary adenocarcinoma: a quantitative approach
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545681/
https://www.ncbi.nlm.nih.gov/pubmed/33046968
http://dx.doi.org/10.7150/jca.46093
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