| Grant number: | 13/16483-0 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | May 01, 2015 |
| End date: | September 30, 2017 |
| Field of knowledge: | Health Sciences - Medicine |
| Agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | Adriana Franco Paes Leme |
| Grantee: | Carolina Moretto Carnielli |
| Host Institution: | Centro Nacional de Pesquisa em Energia e Materiais (CNPEM). Ministério da Ciência, Tecnologia e Inovação (Brasil). Campinas , SP, Brazil |
| Associated research grant: | 10/19278-0 - Study of regulation of ADAMs in oral cancer, AP.JP |
Abstract Head and neck cancers are a related group of cancers that involve the oral cavity, pharynx and larynx. The majority of head and neck cancers are squamous-cell carcinoma (SCC), which has high morbidity. In cancer, changes in the stroma drive invasion and metastasis, the hallmarks of malignancy. Recent evidence suggests that the front invasion area of carcinomas, ie, the tumor-host interface, and molecular profile has different characteristics compared to the surface area, and may be considered as a region of interest to identify prognostic markers. Thus, the aim of this study is to identify the proteins present in the stroma of the front tumor compared to regions within the tumor stroma. So, the combination of laser microdissection (LM) and mass spectrometry (MS) has been considered an approach with high robustness to protein identification for specific regions of tumor tissues. For this, paraffin tissue samples of the front and from inside the stroma tumor region of oral SCC mucosa will be obtained for isolation by LM for analysis by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). The data will be analyzed by bioinformatics to functional annotation of proteins. Proteins expression will be validated by Tissue Microarray (TMA) as well as functional tests will be carried out for the functional evaluation of proteins of interest, such as correlation with clinic pathological data of the patients. Therefore, it is expected that the combination of the ML and MS techniques and bioinformatics indicates proteins that may elucidate the mechanisms of interaction between stromal tumors, progression and invasion. Investigations of the tumor-stroma and stroma-stroma communications may reveal new therapeutic strategies for the study of oral cancer. (AU) | |
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