Exploring expansion proteomics to evaluate protein-protein interactions
Diagnostic, prognostic and therapeutic approach of HER2 overexpression in canine M...
Morphological and histological aspects of placentas from women diagnosed with canc...
Grant number: | 23/12581-0 |
Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
Start date: | November 01, 2023 |
End date: | October 31, 2024 |
Field of knowledge: | Agronomical Sciences - Veterinary Medicine - Animal Reproduction |
Principal Investigator: | Fabiana Ferreira de Souza |
Grantee: | Thais de Moraes Silva |
Host Institution: | Faculdade de Medicina Veterinária e Zootecnia (FMVZ). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil |
Abstract Breast tumors are frequent in the bitches and women, and bitches are considered an experimental model for women, as they spontaneously develop the disease. The most aggressive of breast tumors is the inflammatory carcinoma, which can develop from any type of mammary carcinoma. It is a tumor that is not indicated for surgical removal and, often, the diagnosis is accompanied by metastases, with survival from weeks to a few months. Thus, the objective of this study will be to investigate diagnostic targets that can identify the transition from carcinomas to inflammatory carcinomas, in order to avoid an unfavorable prognosis, using proteomics as the tool and a histological bank of samples fixed in formalin and embedded in paraffin. At least 5 samples of each tumor type of inflammatory carcinomas, more aggressive non-inflammatory carcinomas (micropapillary and solid) and less aggressive non-inflammatory carcinomas (tubular and mixed) will be used, totaling 25 samples from a histological bank. Samples will be treated to remove paraffin and prepared for proteomics by ESI-Q-TOF MS/MS mass spectrometry. Data will be evaluated by multivariate analysis (PCA, PLS-DA, VIP score, dendrogram and heatmap) and univariate analysis (one way ANOVA and Volcano plot). ROC curves will also be made and the areas under the curve will be calculated to determine the sensitivity and specificity of the proteins determined as markers. The enrichment of the gene ontology will also be investigated. It is expected to determine proteins that may explain the mechanism involved in the oncogenesis of inflammatory carcinoma. | |
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