miRNA-mRNA integrative profiling in canine tubulopapillary mammary carcinoma

Canine mammary tumors (CMTs) are the most common neoplasia in intact female dogs. There are different histological subtypes, which are related to tumor behavior and prognosis. Among them, we highlight the tubulopapillary subtype, one of the most prevalent subtypes in female dogs. Although not the most aggressive subtype overall, it is associated with significantly higher lethality compared to other common subtypes, suggesting an underlying dysregulation of gene expression. However, global expression of RNAs in tubulopapillary CMTs is not available in the literature. Here, we analyzed the differential expression of mRNAs and miRNAs of tubulopapillary CMTs (n = 4) and compared them with normal mammary tissues (n = 4) using microarray. We found 842 downregulated and 385 upregulated mRNAs in the CMTs, which corresponded to the enrichment of 10 biological pathways. Also, we found 30 upregulated miRNAs and one downregulated (cfa-miR-345) in CMTs. Among the differentially expressed mRNAs, we identified 360 mRNAs that were targets of the differentially expressed miRNAs, which enriched 23 biological pathways, with the "Endocytosis" pathway being of particular significance. These findings highlight the complex interactions between mRNAs and miRNAs in tubulopapillary CMTs, thereby improving the understanding of the pathophysiology of this CMT subtype and providing targets for functional validation of biomarkers and/or therapeutics.

Authors

Institutions

Publication Details

Journal
Research in Veterinary Science
Published
2026-02-18
DOI
https://doi.org/10.1016/j.rvsc.2026.106107
Primary Topic
Veterinary Oncology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

miRNA-mRNA integrative profiling in canine tubulopapillary mammary carcinoma

Amanda de Oliveira Furlan, Maria Fernanda da Silva Lopes, Igor Luiz Salardani Senhorello, Alexandre Lima de Andrade et al.
Research in Veterinary Science
Veterinary Oncology Research
article

miRNA-mRNA integrative profiling in canine tubulopapillary mammary carcinoma

Amanda de Oliveira Furlan, Maria Fernanda da Silva Lopes, Igor Luiz Salardani Senhorello, Alexandre Lima de Andrade, Juliana de Souza Felix, Natália Francisco Scaramele, V. A. G. ZAMBONI, Fernando Vissani Fernandes, Nayra Cristina Herreira do Valle, Matheus Fujimura Soares, Flavia Lombardi Lopes
article en

Abstract

Canine mammary tumors (CMTs) are the most common neoplasia in intact female dogs. There are different histological subtypes, which are related to tumor behavior and prognosis. Among them, we highlight the tubulopapillary subtype, one of the most prevalent subtypes in female dogs. Although not the most aggressive subtype overall, it is associated with significantly higher lethality compared to other common subtypes, suggesting an underlying dysregulation of gene expression. However, global expression of RNAs in tubulopapillary CMTs is not available in the literature. Here, we analyzed the differential expression of mRNAs and miRNAs of tubulopapillary CMTs (n = 4) and compared them with normal mammary tissues (n = 4) using microarray. We found 842 downregulated and 385 upregulated mRNAs in the CMTs, which corresponded to the enrichment of 10 biological pathways. Also, we found 30 upregulated miRNAs and one downregulated (cfa-miR-345) in CMTs. Among the differentially expressed mRNAs, we identified 360 mRNAs that were targets of the differentially expressed miRNAs, which enriched 23 biological pathways, with the "Endocytosis" pathway being of particular significance. These findings highlight the complex interactions between mRNAs and miRNAs in tubulopapillary CMTs, thereby improving the understanding of the pathophysiology of this CMT subtype and providing targets for functional validation of biomarkers and/or therapeutics.

Research in Veterinary ScienceVol. 203
Universidade Estadual Paulista (Unesp) (BR)
Gender equality
Openalex Percentile: Top 54%
Veterinary Oncology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.