Evidence map›Paper›PMID 32776970›Full record

ArticlePloS one2020

Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma.

Suzanne Rosen, Becky K Brisson, Amy C Durham, Clare M Munroe, Conor J McNeill, Darko Stefanovski, Karin U Sørenmo, Susan W Volk

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Collagen remodeling in breast cancer progression: from molecular mechanisms to diagnostic and therapeutic opportunities.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Suzanne RosenDepartment of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Becky K BrissonDepartment of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Amy C DurhamDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Clare M MunroeDepartment of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Conor J McNeillHope Advanced Veterinary Center, Vienna, VA, United States of America.
Darko StefanovskiDepartment of Clinical Studies-New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, United States of America.ORCID 0000-0002-4654-0569
Karin U SørenmoDepartment of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Susan W VolkDepartment of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0003-3993-4145
University of Pennsylvania · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Building Enhanced Capability for the PennVet Multiphoton CoreS10OD021633 · OD · UNIVERSITY OF PENNSYLVANIA · PI FREEDMAN, BRUCE D · 2016 to 2016
$600k
FLIM system, resonant scanner, and UV laser for 2 photon microscopeS10RR027128 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FREEDMAN, BRUCE D · 2010 to 2010
$496k
Type III Collagen as a suppressor of breast cancer progression and metastasisR21CA216552 · NCI · UNIVERSITY OF PENNSYLVANIA · PI VOLK, SUSAN W · 2018 to 2019
$379k
NCI NIH HHS P30 CA016520NCI NIH HHS R21 CA216552NCRR NIH HHS S10 RR027128NIH HHS S10 OD021633
6 · The paper itself

Abstract

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.

Indexed as

PrognosisAnimalsCatsCollagenDisease Models, AnimalFemaleHumansMammary Glands, AnimalMammary Neoplasms, AnimalTriple Negative Breast NeoplasmsTumor MicroenvironmentCollagen

Identifiers

PMID32776970
PMCPMC7416937
OpenAlexW3048412132

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.