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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Main Authors: Suzanne Rosen, Becky K Brisson, Amy C Durham, Clare M Munroe, Conor J McNeill, Darko Stefanovski, Karin U Sørenmo, Susan W Volk
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0236516
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spelling doaj-f7bb2b35f5ce4ffc86c09f54a64dbcb12021-08-11T04:31:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01158e023651610.1371/journal.pone.0236516Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma.Suzanne RosenBecky K BrissonAmy C DurhamClare M MunroeConor J McNeillDarko StefanovskiKarin U SørenmoSusan W VolkBreast 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.https://doi.org/10.1371/journal.pone.0236516
collection DOAJ
language English
format Article
sources DOAJ
author Suzanne Rosen
Becky K Brisson
Amy C Durham
Clare M Munroe
Conor J McNeill
Darko Stefanovski
Karin U Sørenmo
Susan W Volk
spellingShingle Suzanne Rosen
Becky K Brisson
Amy C Durham
Clare M Munroe
Conor J McNeill
Darko Stefanovski
Karin U Sørenmo
Susan W Volk
Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma.
PLoS ONE
author_facet Suzanne Rosen
Becky K Brisson
Amy C Durham
Clare M Munroe
Conor J McNeill
Darko Stefanovski
Karin U Sørenmo
Susan W Volk
author_sort Suzanne Rosen
title Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma.
title_short 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_sort intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
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.
url https://doi.org/10.1371/journal.pone.0236516
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