Estudo de biomarcadores lipídicos de pacientes portadores de câncer colorretal

• Ano de defesa: 2016
• Autor(a) principal: Serafim, Patricia Valéria Pereira [UNIFESP]
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Paulo (UNIFESP)
• Palavras-chave em Português: Colorectal cancer; Biomarkers; Mass spectrometry; Lipoidomic; Maldi-tof; Câncer colorretal; Biomarcadores; Espectometria de massa; Lipidômica; Maldi; Tof
• Link de acesso: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=4301292; http://repositorio.unifesp.br/handle/11600/46509

Introduction: Colorectal cancer is one of the most prevalent cancer worldwide. In recent decades, the study of specific biomarkers aiming to a personal therapy has been the scene of several studies. The study of omics, more recently lipidomics has the purpose of analyze the individual lipids, which provides data to better understanding of human lipidome. The evolution of mass spectrometry methods such as technology for MALDI-MS, enabled the detection and identification of a wide variety of lipids with great potential to open new avenues for predictive and preventive medicine. Objective: To determine the lipidomic profile of patients with colorectal cancer in stages I, II and III, of patients with polyps and a control group. Compare the profiles of cancer patients in the preoperative to the postoperative. Patients and methods: We selected 107 patients, 40 with colorectal cancer prior to surgical resection, 23 patients after surgical resection, 12 patients with adenomatous polyp and 32 patients with normal colonoscopy. All patients were subjected to samples of peripheral blood, it was subsequently carried out extraction of the lipid from the plasma. The samples were analyzed by MALDI-MS technique for identifying lipids. Results: Using the method of analysis of variance (ANOVA) revealed differences between groups cancer and controls as well as polyps and controls. The Ion 810.1 was the one that best differentiated the groups, with p <0.01 and accuracy of 85% by PLSDA method. Among the 15 VIP lipids VIP, eight have been identified as potential biomarkers. The polyketide (810.1) was the hypo-represented lipid in cancer and over-represented in the polyp and control. The lipid profile of individuals with cancer compared to the same group after resection had an accuracy of 66% by PLSDA test. However when comparing the control patients to the cancer patients various lipid profiles had been observed with an accuracy of 100% for PLSDA test. The comparison of the polyp group to controls, by the PLSDA method, although it had not demonstrated difference between the groups, resulted in an accuracy of 74%. Conclusions: We identified possible lipid biomarkers among cancer patients compared with control groups and polyps. The polyketide lipid (810.1) was the best biomarker to differentiate cancer to the control group and polyps. We found no difference between the biomarkers in preoperative group compared to the postoperative as in the polyp group compared to the control.