A.C.Camargo Next Frontiers

Dados do Resumo


Título

Overexpression of miR-4270 and Downregulation of miR-127-3p as Potential Biomarkers in Canine Mammary Carcinoma: Multivariate Analysis and Diagnostic Implications

Introdução

Mammary carcinoma represents the leading cause of cancer-related deaths in women, and various studies have demonstrated the role of microRNAs in tumor progression and their promising use as diagnostic biomarkers and predictors of metastasis in breast neoplasms. Different study models for breast tumors can be employed, among which the canine model stands out. Female dogs develop mammary carcinoma at a frequency as high as women, and miRNA deregulation seems to be as significant in dogs as it is in women.

Objetivo

Due to the few studies that have sought to evaluate the deregulated tissue expression of microRNAs in dogs diagnosed with mammary tumors, this study aimed to identify and validate different microRNAs in canine mammary tissue.

Métodos

For this study, 35 tissue samples were used, with 22 being carcinomas and 13 mammary adenomas. Total RNA extraction was performed, and the expression of miR-127-3p, miR-4270, miR-652, miR-409-3p, miR133a was evaluated by qPCR.

Resultados

Compared to adenomas, no statistical difference between all tested miRNAs was found. However, there was a trend towards overexpression of miR-4270 and downregulation of miR-127-3p in mammary carcinoma compared to adenomas. In our multivariate analysis, a positive association between miR-4270 and malignancy was observed.

Conclusões

Therefore, we conclude that the microRNAs miR-4270 and miR-127-3p represent promising targets to be systematically explored in the plasma of female dogs diagnosed with mammary neoplasia.

Financiador do resumo

Fundação de Amparo à Pesquisa do Estado de São Paulo – FAPESP (processo nº: 2021/11958-7)

Palavras Chave

Mammary carcinoma; tissue; epigenetics

Área

7.Pesquisa básica/translacional

Autores

REBECA RIBEIRO GERMANO, LUÍZ GUILHERME DÉRCORE BENEVENUTO, CARLOS EDUARDO FONSECA ALVES