Previsores para a eficiência da quimioterapia neoadjuvante no câncer de mama

• Ano de defesa: 2008
• Autor(a) principal: Euler Guimarães Horta
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Engenharia Elétrica; Engenharia elétrica
• Link de acesso: http://hdl.handle.net/1843/BUOS-8CTFHK

Breast cancer is the second most common kind of cancer in the world,behind only of lung cancer, and it is the most common among women.Treatment consists in pre-operative chemotherapy, surgery and postoperative chemotherapy and it is very painful and with great psychological effects in women. In the case of operable cancer pre-operative chemotherapy aims to reduce the size of the tumor or even eliminate it, but this treatment works in a few cases, where the vast majority of patients do not have large reduction of the tumor and they suffer unnecessary, since the tumor could be removed without the use of chemotherapy. Thus it is necessary to know if the patient is sensitive to chemotherapy or not, and the doctor can choose the best treatment. This prediction of sensitivity to the treatment made by clinical features usually does not give good results. With the possibility in recent years to measure the expression of genes it is desired to use that informationto discover if some genetic feature is related or not to the functioning of the treatment. In this work is proposed a new way to select genes that are more informative about the sensitivity of the patient or not to pre-operative chemotherapy and it is proposed classifiers that try to predict whether the patients will have complete pathological response to treatment or not