Evidence map›Paper›PMID 37402051›Full record

ArticleJournal of mammary gland biology and neoplasia2023

SFRP1 Expression is Inversely Associated With Metastasis Formation in Canine Mammary Tumours.

Judith Seitz, Alan Bilsland, Chloé Puget, Ian Baasner, Robert Klopfleisch, Torsten Stein

Open access · hybridAbstract read
In one paragraph

Article in Journal of mammary gland biology and neoplasia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review of Molecular Technologies for Investigating Canine Cancer.Animals : an open access journal from MDPI · 2024
    Review
  3. Article
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

6 authors at 2 institutions in 2 countries.

Judith SeitzInstitute of Veterinary Biochemistry, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Alan BilslandWolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, College of MVLS, University of Glasgow, Glasgow, UK.
Chloé PugetInstitute of Veterinary Pathology, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Ian BaasnerInstitute of Veterinary Pathology, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Robert KlopfleischInstitute of Veterinary Pathology, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Torsten SteinInstitute of Veterinary Biochemistry, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany. Torsten.Stein@fu-berlin.de.
Freie Universität Berlin · DEUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCanine mammary tumours (CMTs) are the most frequent tumours in intact female dogs and show strong similarities with human breast cancer. In contrast to the human disease there are no standardised diagnostic or prognostic biomarkers available to guide treatment. We recently identified a prognostic 18-gene RNA signature that could stratify human breast cancer patients into groups with significantly different risk of distant metastasis formation. Here, we assessed whether expression patterns of these RNAs were also associated with canine tumour progression.

methodA sequential forward feature selection process was performed on a previously published microarray dataset of 27 CMTs with and without lymph node (LN) metastases to identify RNAs with significantly differential expression to identify prognostic genes within the 18-gene signature. Using an independent set of 33 newly identified archival CMTs, we compared expression of the identified prognostic subset on RNA and protein basis using RT-qPCR and immunohistochemistry on FFPE-tissue sections.

resultsWhile the 18-gene signature as a whole did not have any prognostic power, a subset of three RNAs: Col13a1, Spock2, and Sfrp1, together completely separated CMTs with and without LN metastasis in the microarray set. However, in the new independent set assessed by RT-qPCR, only the Wnt-antagonist Sfrp1 showed significantly increased mRNA abundance in CMTs without LN metastases on its own (p = 0.013) in logistic regression analysis. This correlated with stronger SFRP1 protein staining intensity of the myoepithelium and/or stroma (p < 0.001). SFRP1 staining, as well as β-catenin membrane staining, was significantly associated with negative LN status (p = 0.010 and 0.014 respectively). However, SFRP1 did not correlate with β-catenin membrane staining (p = 0.14).

conclusionThe study identified SFRP1 as a potential biomarker for metastasis formation in CMTs, but lack of SFRP1 was not associated with reduced membrane-localisation of β-catenin in CMTs.

Indexed as

Breast NeoplasmsMammary Neoplasms, AnimalAnimalsbeta CateninDogsFemaleHumansLymphatic MetastasisPrognosisRNAbeta CateninRNACanine Mammary TumoursMetastasisRNA SignatureSFRP1

Identifiers

PMID37402051
PMCPMC10319705
OpenAlexW4383058507

What Socratic 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 Socratic graph.