Sofia Fernandes
Name: Sofia Fernandes
E-mail: sfernandes@ipatimup.pt
Extension: 
225570700
Academic Degree: Doctor of philosophy


Sofia Fernandes
Sofia Fernandes
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Short CV
2010-: Post-doctoral fellowship at the Institute of Molecular Pathology and Immunology of the University of Porto, under the supervision of Professor Raquel Seruca and co-supervision of Professor Fátima Carneiro, focusing on the investigation of Alternative Targeted Approaches for Colorectal Cancer Therapy.
2008 - 2010: Post-doctoral fellowship at Institute of Molecular Pathology and Immunology of the University of Porto, under the joint coordination of Professors Fátima Carneiro and Raquel Seruca, focusing mainly on the Generation of a DNA Bank from the Tissue and Tumor Bank.
2008: PhD in Human Reproductive Biology at the Departments of Uterine Biology/Molecular Endocrinology, Institute of Reproductive and Developmental Biology Imperial College London, UK.
2003: MSc with Distinction in Human Reproductive Biology at the Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
2001 - 2002: Embryology training in the IVF unit at the Department of Medical Genetics, Faculty of Medicine, University of Porto.
2001: First Degree in Biochemistry – Applied Biochemistry Option at Faculty of Sciences, University of Porto.

Highlights
Colorectal cancer is one of the leading causes of cancer mortality worldwide. Patients diagnosed with metastatic colorectal cancer have a poor prognosis and the available therapies are limited. In recent years, as an attempt to improve the survival rates of patients, new targeted biological therapies have been developed, namely EGFR-targeted therapies, and used in combination with the standard chemotherapy regimens. However, such therapies are only efficient in a subgroup of patients. It is therefore urgent to unravel new therapy approaches. The current work focuses on the investigation of alternative therapy strategies for colorectal cancer and on the identification of putative biomarkers able to predict therapy resistance.

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