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Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma

Breast cancer is the most common cause of cancer-related deaths in women worldwide. Identification of reliable prognostic indicators and therapeutic targets is critical for improving patient outcome. Cancer in companion animals often strongly resembles human cancers and a comparative approach to ide...

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Autores principales: Rosen, Suzanne, Brisson, Becky K., Durham, Amy C., Munroe, Clare M., McNeill, Conor J., Stefanovski, Darko, Sørenmo, Karin U., Volk, Susan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416937/
https://www.ncbi.nlm.nih.gov/pubmed/32776970
http://dx.doi.org/10.1371/journal.pone.0236516
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author Rosen, Suzanne
Brisson, Becky K.
Durham, Amy C.
Munroe, Clare M.
McNeill, Conor J.
Stefanovski, Darko
Sørenmo, Karin U.
Volk, Susan W.
author_facet Rosen, Suzanne
Brisson, Becky K.
Durham, Amy C.
Munroe, Clare M.
McNeill, Conor J.
Stefanovski, Darko
Sørenmo, Karin U.
Volk, Susan W.
author_sort Rosen, Suzanne
collection PubMed
description Breast cancer is the most common cause of cancer-related deaths in women worldwide. Identification of reliable prognostic indicators and therapeutic targets is critical for improving patient outcome. Cancer in companion animals often strongly resembles human cancers and a comparative approach to identify prognostic markers can improve clinical care across species. Feline mammary tumors (FMT) serve as models for extremely aggressive triple negative breast cancer (TNBC) in humans, with high rates of local and distant recurrence after resection. Despite the aggressive clinical behavior of most FMT, current prognostic indicators are insufficient for accurately predicting outcome, similar to human patients. Given significant heterogeneity of mammary tumors, there has been a recent focus on identification of universal tumor-permissive stromal features that can predict biologic behavior and provide therapeutic targets to improve outcome. As in human and canine patients, collagen signatures appear to play a key role in directing mammary tumor behavior in feline patients. We find that patients bearing FMTs with denser collagen, as well as longer, thicker and straighter fibers and less identifiable tumor-stromal boundaries had poorer outcomes, independent of the clinical variables grade and surgical margins. Most importantly, including the collagen parameters increased the predictive power of the clinical model. Thus, our data suggest that similarities with respect to the stromal microenvironment between species may allow this model to predict outcome and develop novel therapeutic targets within the tumor stroma that would benefit both veterinary and human patients with aggressive mammary tumors.
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spelling pubmed-74169372020-08-19 Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma Rosen, Suzanne Brisson, Becky K. Durham, Amy C. Munroe, Clare M. McNeill, Conor J. Stefanovski, Darko Sørenmo, Karin U. Volk, Susan W. PLoS One Research Article Breast cancer is the most common cause of cancer-related deaths in women worldwide. Identification of reliable prognostic indicators and therapeutic targets is critical for improving patient outcome. Cancer in companion animals often strongly resembles human cancers and a comparative approach to identify prognostic markers can improve clinical care across species. Feline mammary tumors (FMT) serve as models for extremely aggressive triple negative breast cancer (TNBC) in humans, with high rates of local and distant recurrence after resection. Despite the aggressive clinical behavior of most FMT, current prognostic indicators are insufficient for accurately predicting outcome, similar to human patients. Given significant heterogeneity of mammary tumors, there has been a recent focus on identification of universal tumor-permissive stromal features that can predict biologic behavior and provide therapeutic targets to improve outcome. As in human and canine patients, collagen signatures appear to play a key role in directing mammary tumor behavior in feline patients. We find that patients bearing FMTs with denser collagen, as well as longer, thicker and straighter fibers and less identifiable tumor-stromal boundaries had poorer outcomes, independent of the clinical variables grade and surgical margins. Most importantly, including the collagen parameters increased the predictive power of the clinical model. Thus, our data suggest that similarities with respect to the stromal microenvironment between species may allow this model to predict outcome and develop novel therapeutic targets within the tumor stroma that would benefit both veterinary and human patients with aggressive mammary tumors. Public Library of Science 2020-08-10 /pmc/articles/PMC7416937/ /pubmed/32776970 http://dx.doi.org/10.1371/journal.pone.0236516 Text en © 2020 Rosen et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited.
spellingShingle Research Article
Rosen, Suzanne
Brisson, Becky K.
Durham, Amy C.
Munroe, Clare M.
McNeill, Conor J.
Stefanovski, Darko
Sørenmo, Karin U.
Volk, Susan W.
Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma
title Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma
title_full Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma
title_fullStr Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma
title_full_unstemmed Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma
title_short Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma
title_sort intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416937/
https://www.ncbi.nlm.nih.gov/pubmed/32776970
http://dx.doi.org/10.1371/journal.pone.0236516
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