Banca de DEFESA: EWERTON BORGES DE LIMA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : EWERTON BORGES DE LIMA
DATE: 03/12/2024
TIME: 08:00
LOCAL: SALA DE SEINÁRIOS
TITLE:

PREOTEOMIC ANALYSIS IN BITCHES WITH MAMMARY NEOPLASMS

KEY WORDS:

Mammaryneoplasms, Proteomics, Biomarkers, Female dogs, Diagnosis.

PAGES: 57
BIG AREA: Ciências Agrárias
AREA: Medicina Veterinária
SUMMARY:

The prevalence of mammary tumors in female dogs has significantly increased,
becoming one of the leading causes of mortality in companion animals. These tumors
exhibit histopathological characteristics, biological behavior, and metastatic patterns
similar to those observed in human breast cancer, making female dogs important
translational models. The identification of biomarkers has proven essential for early
diagnosis, clinical management, and the development of personalized therapies,
particularly with the advancement of technologies such as proteomics. In human
oncology, these technologies are already widely utilized, and their potential in
veterinary medicine has been expanding with the development of new techniques. This
study is divided into two main parts. The first part consists of a literature review on the
application of proteomics in the study of mammary neoplasms in female dogs. The
review addresses the most promising proteomic techniques, their applicability in
biomarker identification, and the existing challenges. It highlights the importance of
mass spectrometry and bioinformatics analyses to understand the molecular
mechanisms influencing tumor progression and therapeutic resistance. Additionally, the
advances in the use of functional biomarkers for disease monitoring, diagnosis, and
prognosis are discussed, as well as future challenges in integrating these discoveries into
clinical practice. The second part presents an experimental study that performed a
differential proteomic analysis of benign mammary neoplasms, such as tubular adenoma
grade 1, and malignant neoplasms, such as micropapillary carcinoma grade 1 and
tubulopapillary carcinoma grade III. Mass spectrometry methods with a label-free
approach and bioinformatics analysis using the MaxQuant software were utilized. The
study identified differentially expressed proteins, including alpha-actin, alpha-actinin,
and matrix metalloproteinases, associated with aggressive and invasive tumor behavior.
Moreover, alterations in metabolic pathways related to signal transduction and energy
metabolism were observed, suggesting their role in tumor progression. These findings
reinforce the relevance of proteomic analysis in identifying new biomarkers and
molecular mechanisms involved in canine mammary neoplasms. Despite advancements,
clinical validation of the identified biomarkers is crucial for their implementation in
veterinary practice, contributing to more accurate diagnoses and personalized
treatments.

COMMITTEE MEMBERS:
Externa à Instituição - FABIANA APARECIDA CAVALCANTE SILVA - UFPE
Interna - GRAZIELLE ANAHY DE SOUSA ALEIXO CAVALCANTI
Externa à Instituição - JOANE ISIS TRAVASSOS VIEIRA
Externo à Instituição - JOSÉ CARLOS FERREIRA DA SILVA
Externa ao Programa - 2309518 - LILIAN SABRINA SILVESTRE DE ANDRADE - null