Evidence map›Paper›PMID 28683102›Full record

ArticlePloS one2017

Identification of prognostic collagen signatures and potential therapeutic stromal targets in canine mammary gland carcinoma.

Ashley Case, Becky K Brisson, Amy C Durham, Suzanne Rosen, James Monslow, Elizabeth Buza, Pascale Salah, Julie Gillem, Gordon Ruthel, Sridhar Veluvolu and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 57 citations in OpenAlex.

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  14. Transcriptomic Profile of Canine Mammary Ductal Carcinoma.International journal of molecular sciences · 2023
    Article
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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

15 authors at 2 institutions in 2 countries.

Ashley CaseDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Becky K BrissonDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID http://orcid.org/0000-0002-5997-8412
Amy C DurhamDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Suzanne RosenDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
James MonslowDepartment of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Elizabeth BuzaDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Pascale SalahDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Julie GillemDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Gordon RuthelDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Sridhar VeluvoluDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Veronica KristiansenDepartment of Companion Animal Clinical Sciences, Veterinary Medicine and Biosciences, Norwegian University of Life Sciences, Oslo, Norway.
Ellen PuréDepartment of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Dorothy C BrownDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
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 and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID http://orcid.org/0000-0003-3993-4145
University of Pennsylvania · USNorwegian University of Life Sciences · NO

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Susan M Domchek · 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
NCI NIH HHS P30 CA016520NCRR NIH HHS S10 RR027128NIH HHS S10 OD021633
6 · The paper itself

Abstract

Increasing evidence indicates that the tumor microenvironment plays a critical role in regulating the biologic behavior of breast cancer. In veterinary oncology, there is a need for improved prognostic markers to accurately identify dogs at risk for local and distant (metastatic) recurrence of mammary gland carcinoma and therefore would benefit from adjuvant therapy. Collagen density and fiber organization have been shown to regulate tumor progression in both mouse and human mammary tumors, with certain collagen signatures predicting poor outcomes in women with breast cancer. We hypothesized that collagen signatures in canine mammary tumor biopsies can serve as prognostic biomarkers and potential targets for treatment. We used second harmonic generation imaging to evaluate fibrillar collagen density, the presence of a tumor-stromal boundary, tumor associated collagen signatures (TACS) and individual collagen fiber characteristics (width, length and straightness) in grade I/II and grade III canine mammary tumors. Collagen density, as well as fiber width, length and straightness, were inversely correlated with patient overall survival time. Notably, grade III cases were less likely to have a tumor-stromal boundary and the lack of a boundary predicted poor outcome. Importantly, a lack of a defined tumor-stromal boundary and an increased collagen fiber width were associated with decreased survival even when tumor grade, patient stage, ovariohysterectomy status at the time of mammary tumor excision, and histologic evidence of lymphovascular invasion were considered in a multivariable model, indicating that these parameters could augment current methods to identify patients at high risk for local or metastatic progression/recurrence. Furthermore, these data, which identify for the first time, prognostic collagen biomarkers in naturally occurring mammary gland neoplasia in the dog, support the use of the dog as a translational model for tumor-stromal interactions in breast cancer.

Indexed as

Tumor MicroenvironmentAnimalsBiomarkers, TumorBiopsyCollagenDisease ProgressionDogsExtracellular MatrixFemaleLymphatic MetastasisMammary Glands, AnimalMammary Neoplasms, AnimalMicroscopy, Fluorescence, MultiphotonNeoplasm GradingNeoplasm StagingPrognosisBiomarkers, TumorCollagen

Identifiers

PMID28683102
PMCPMC5500345
OpenAlexW2734035068

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.