CV Lattes
ResearcherID
Universidade de São Paulo (USP). Faculdade de Medicina de Ribeirão Preto (FMRP) (Institutional affiliation for the last research proposal) Birthplace: Brazil
My research interest is in developing computational and statistical models to integrate clinical and pathological features to large genomic and transcriptomic data. Specifically, my goal is to integrate large cancer datasets in order to identify predictive factors of response to therapy and prognostic stratification of specific cancer subtypes. I have a PhD in Medical Science and Board Certifications in Mastology and Clinical Oncology with broad experience in Big Data Analysis and Computational Biology. I?ve been a graduate student in Medicine in the University of São Paulo, and in System Analysis and Software Development at FATEC - Brazil. (Source: Lattes Curriculum)
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Breast cancer is the leading cause of malignancy among women worldwide. In Brazil, about 50% of patients present with locally advanced or metastatic disease at the diagnostic. Neoadjuvant chemotherapy has been used as the standard treatment. The pathological response to therapy is an important prognostic factor. Only 20% of patients achieve complete pathological response and do benefit f…
The breast cancer is the most common and lethal malignant neoplasm, affecting people worldwide. Studies have showed that the rupture of basal membrane and the myoepithelial cells layer is a precocious sign of a clone cells formation responsible for the process of invasion. To infiltrate the stroma and to access the lymphatic and blood vessels, malignant epithelial cells must deactivate ce…
Breast cancer is a disease highly prevalent and incident. Recently has been cited in the literature that the integration between tumor stroma and epithelial cells malignant is an important factor in resistance to cytotoxic treatment. Studies show that Mesenchymal stromal cells tumor originating form a favorable microenvironment for the maintenance of stem cell tumor (CTTS) responsible for…
Breast cancer is a high prevalent and incident disease. Changes in the patterns of DNA methylation are related to the promotion and development of breast cancer. The patterns of methylation in elements of the apoptosis pathway are associated with disease progression, survival and metastasis. The identification of methylation changes induced by specific drugs in breast cancer cells, partic…
The hierarchical model, defined by the presence of distinct cellular population with particular biological activity, has been proposed in the wake of the identification and isolation of a cell subpopulation with self-renewal and multilineage differentiation potential within hematological and solid malignant tumors. As these functional features were first described in primordial cells, som…
The breast cancer is the most common cancer in women worldwide and the metastatic dissemination is the principal factor related to death by this disease. Breast tumors are highly heterogeneous and are classified based (1) histology, (2) the expression of ER and PR and HER2 and (3) differentiation state/gene expression profiles into subtypes. The model concerning expression profiles refin…
| 2 / 2 | Completed research grants |
| 1 / 1 | Completed scholarships in Brazil |
| 4 / 3 | Completed scholarships abroad |
| 7 / 6 | All research grants and scholarships |
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