Evidence map›Paper›PMID 31807173›Full record

ArticleOncology letters2019

Prognostic phenotypic classification for canine mammary tumors.

Giovanna Rossi Varallo, Gabriela Bottaro Gelaleti, Larissa Bazela Maschio-Signorini, Marina Gobbe Moschetta, Juliana Ramos Lopes, Andrigo Barboza De Nardi, Mirela Tinucci-Costa, Rafael Malagoli Rocha, Debora Aparecida Pires De Campos Zuccari

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  15. Canine Mammary Cancer: State of the Art and Future Perspectives.Animals : an open access journal from MDPI · 2023
    Review
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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

9 authors at 2 institutions in 1 country.

Giovanna Rossi VaralloFaculty of Agricultural and Veterinary Sciences, Universidade Estadual Paulista, Jaboticabal, São Paulo 14884-900, Brazil.
Gabriela Bottaro GelaletiInstitute of Biosciences, Letters and Exact Sciences, Universidade Estadual Paulista, São José do Rio Preto, São Paulo 15054-000, Brazil.
Larissa Bazela Maschio-SignoriniInstitute of Biosciences, Letters and Exact Sciences, Universidade Estadual Paulista, São José do Rio Preto, São Paulo 15054-000, Brazil.
Marina Gobbe MoschettaLaboratory of Molecular Investigation of Cancer, Department of Molecular Biology, Faculty of Medicine of São José do Rio Preto, São José do Rio Preto, São Paulo 15090-000, Brazil.
Juliana Ramos LopesInstitute of Biosciences, Letters and Exact Sciences, Universidade Estadual Paulista, São José do Rio Preto, São Paulo 15054-000, Brazil.
Andrigo Barboza De NardiFaculty of Agricultural and Veterinary Sciences, Universidade Estadual Paulista, Jaboticabal, São Paulo 14884-900, Brazil.
Mirela Tinucci-CostaFaculty of Agricultural and Veterinary Sciences, Universidade Estadual Paulista, Jaboticabal, São Paulo 14884-900, Brazil.
Rafael Malagoli RochaInternational Research Center-A.C. Camargo Cancer Center, São Paulo, São Paulo 01508-010, Brazil.
Debora Aparecida Pires De Campos ZuccariLaboratory of Molecular Investigation of Cancer, Department of Molecular Biology, Faculty of Medicine of São José do Rio Preto, São José do Rio Preto, São Paulo 15090-000, Brazil.
Universidade Estadual Paulista (Unesp) · BRAC Camargo Hospital · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammary neoplasms are a heterogeneous form of disease, and in order to determine its course and biological features with more accuracy, investigations based on tumor phenotypes are required. The aim of the present study was to propose and validate a phenotypic classification for canine mammary tumors and to assess any association between clinicopathological characteristics, survival and prognosis. For the immunohistochemistry analysis, the primary antibodies against estrogen receptor-α, progesterone receptor, human epidermal growth factor receptor 2 (HER-2)/neu and E-cadherin were used. A total of 110 canine mammary tumors were investigated; 42 tumors were classified as luminal A, 41 as luminal B, 17 as triple-negative and 10 as HER-2-positive. The luminal A and B phenotypes were associated with improved prognosis, whereas HER-2positive and triple-negative tumors were more aggressive, and exhibited a significant association with the occurrence of metastasis, a worse Tumor-Node-Metastasis classification and shorter survival time (P<0.05). In addition, there were different levels of E-cadherin expression intensity observed among the four tumor profiles investigated. Luminal A and B phenotypes presented an upregulation of E-cadherin compared with the HER-2 positive and triple-negative phenotypes (P<0.05). From the results of the present study, the proposed immunohistochemical panel and phenotypic classification techniques could be useful diagnostic tools with a good technical applicability in veterinary oncology. The analysis of E-cadherin expression in the panel of tumor markers allowed a more accurate classification for determining the biological features of the mammary tumor.

Indexed as

dogsE-cadherinmammary tumorsphenotypesprognostic

Identifiers

PMID31807173
PMCPMC6876320
OpenAlexW2988923831

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.