Evidence map›Paper›PMID 23844591›Full record

ArticleBMC veterinary research2013

Five markers useful for the distinction of canine mammary malignancy.

Karol M Pawłowski, Henryk Maciejewski, Kinga Majchrzak, Izabella Dolka, Jan A Mol, Tomasz Motyl, Magdalena Król

Abstract readEvaluation Study
In one paragraph

Article in BMC veterinary research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Role of Relaxin Signaling in Cancer: A Review.Biochemical pharmacology · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

7 authors.

Karol M PawłowskiDepartment of Physiological Sciences, Faculty of Veterinary Medicine, Warsaw University of Life Sciences - WULS, Nowoursynowska 159, 02-776, Warsaw, Poland.
Henryk Maciejewski
Kinga Majchrzak
Izabella Dolka
Jan A Mol
Tomasz Motyl
Magdalena Król

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpontaneous canine mammary tumors constitute a serious clinical problem. There are significant differences in survival between cases with different tumor grades. Unfortunately, the distinction between various grades is not clear. A major problem in evaluating canine mammary cancer is identifying those, that are "truly" malignant. That is why the aim of our study was to find the new markers of canine malignancy, which could help to diagnose the most malignant tumors.

resultsAnalysis of gene expression profiles of canine mammary carcinoma of various grade of malignancy followed by the boosted tree analysis distinguished a `gene set`. The expression of this gene set (sehrl, zfp37, mipep, relaxin, and magi3) differs significantly in the most malignant tumors at mRNA level as well as at protein level. Despite this `gene set` is very interesting as an additional tool to estimate canine mammary malignancy, it should be validated using higher number of samples.

conclusionsThe proposed gene set can constitute a `malignancy marker` that could help to distinguish the most malignant canine mammary carcinomas. These genes are also interesting as targets for further investigations and therapy. So far, only two of them were linked with the cancer development.

Indexed as

AnimalsBiomarkers, TumorDog DiseasesDogsFemaleGene Expression Regulation, NeoplasticImmunohistochemistryKruppel-Like Transcription FactorsMammary Neoplasms, AnimalMembrane ProteinsMetalloendopeptidasesReal-Time Polymerase Chain ReactionRelaxinTranscriptomeBiomarkers, TumorKruppel-Like Transcription FactorsMembrane ProteinsMetalloendopeptidasesRelaxin

Identifiers

PMID23844591
PMCPMC3750412

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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.