Evidence map›Paper›PMID 24748173›Full record

ArticlePloS one2014

Global gene expression analysis of canine cutaneous mast cell tumor: could molecular profiling be useful for subtype classification and prognostication?

Mery Giantin, Anna Granato, Chiara Baratto, Laura Marconato, Marta Vascellari, Emanuela M Morello, Antonella Vercelli, Franco Mutinelli, Mauro Dacasto

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Frontiers in oncology · 2026
    Article
  2. Anti-Cancer Activity ofMarine drugs · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. The effect of prednisone on histologic and gross characteristics in canine mast cell tumors.The Canadian veterinary journal = La revue veterinaire canadienne · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genomic profiling of canine mast cell tumors identifies DNA copy number aberrations associated with KIT mutations and high histological grade.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2017
    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

9 authors.

Mery GiantinDipartimento di Biomedicina Comparata e Alimentazione, Università di Padova, Legnaro (Padova), Italy.
Anna GranatoIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padova), Italy.
Chiara BarattoIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padova), Italy.
Laura MarconatoCentro Oncologico Veterinario, Sasso Marconi, Bologna, Italy.
Marta VascellariIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padova), Italy.
Emanuela M MorelloDipartimento di Scienze Veterinarie, Università di Torino, Grugliasco (Torino), Italy.
Antonella VercelliAmbulatorio Veterinario Associato, Torino, Italy.
Franco MutinelliIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padova), Italy.
Mauro DacastoDipartimento di Biomedicina Comparata e Alimentazione, Università di Padova, Legnaro (Padova), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognosis and therapeutic management of dogs with cutaneous mast cell tumors (MCTs) depend on clinical stage and histological grade. However, the prognostic value of this latter is still questionable. In the present study, MCT transcriptome was analyzed to identify a set of candidate genes potentially useful for predicting the biological behavior of MCTs. Fifty-one canine MCT biopsies were analyzed. Isolated and purified total RNAs were individually hybridized to the Agilent Canine V2 4x44k DNA microarray. The comparison of reference differentiated and undifferentiated MCT transcriptome revealed a total of 597 differentially expressed genes (147 down-regulated and 450 up-regulated). The functional analysis of this set of genes provided evidence that they were mainly involved in cell cycle, DNA replication, p53 signaling pathway, nucleotide excision repair and pyrimidine metabolism. Class prediction analysis identified 13 transcripts providing the greatest accuracy of class prediction and divided samples into two categories (differentiated and undifferentiated), harboring a different prognosis. The Principal Component Analysis of all samples, made by using the selected 13 markers, confirmed MCT classification. The first three components accounted for 99.924% of the total variance. This molecular classification significantly correlated with survival time (p = 0.0026). Furthermore, among all marker genes, a significant association was found between mRNA expression and MCT-related mortality for FOXM1, GSN, FEN1 and KPNA2 (p<0.05). Finally, marker genes mRNA expression was evaluated in a cohort of 22 independent samples. Data obtained enabled to identify MCT cases with different prognosis. Overall, the molecular characterization of canine MCT transcriptome allowed the identification of a set of 13 transcripts that clearly separated differentiated from undifferentiated MCTs, thus predicting outcome regardless of the histological grade. These results may have clinical relevance and warrant future validation in a prospective study.

Indexed as

Gene Expression ProfilingTranscriptomeAnimalsCluster AnalysisDog DiseasesDogsMastocytosis, CutaneousReproducibility of ResultsSkin Neoplasms

Identifiers

PMID24748173
PMCPMC3991658

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.