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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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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