Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNIFESP |
Texto Completo: | https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5263782 http://repositorio.unifesp.br/handle/11600/50090 |
Resumo: | Abstract In the last 10 years the incidence of colorectal cancer (CRC) has been increasing in developing countries. The search for molecular markers that reduce the need for invasive examinations for the diagnosis of colorectal cancer and the follow-up of treated patients advanced with the use of analytical technologies such as mass spectrometry (MS), which allowed the search for lipid metabolites as Candidates for probable biomarkers. The objective was to establish the lipid profile of patients with locally advanced, unresectable or metastatic colorectal cancer. Peripheral blood was collected from patients with colorectal cancer and patients with normal colonoscopy. After lipid extraction, the samples were processed and analyzed in the MALDI TOF / TOF equipment. From the data matrix, the statistical analyzes were performed by the principal component analysis methods and the least squares discriminant analysis. The importance of the variable in the projection was used to identify the ions that had the greatest discriminatory effect between the groups. Eight lipids were identified as potential biomarkers and a multiple logistic regression model was proposed to calculate the performance of the test where we observed values of AUC 0.87, sensitivity 88.33% and specificity 83.78% and for a validation test with 1000 permutations a p <0.001. The classes of lipids found were sphingolipids, glycerophospholipids and policetidia. The strength of the association between the peak intensities of these lipids and the presence of colorectal cancer make these metabolites candidates for possible biomarkers. We found that sphingolipid (m / z = 742.98869) could be a biomarker in monitoring patients with CRC. In the survival analysis, three lipids showed a prognostic value for colorectal cancer, sphingolipid (m / z = 857,11525) and policetidios (m / z = 876,20796) and glycerophospholipid (m / z = 1031.54773). |
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Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançadosAnalysis of the lipid profile in patients with colorectal cancer in advanced stagesLipidomaColorectal cancerLipidsTumor biomarkersLipidomaCancer colorretalLipidiosBiomarcadores tumoraisAbstract In the last 10 years the incidence of colorectal cancer (CRC) has been increasing in developing countries. The search for molecular markers that reduce the need for invasive examinations for the diagnosis of colorectal cancer and the follow-up of treated patients advanced with the use of analytical technologies such as mass spectrometry (MS), which allowed the search for lipid metabolites as Candidates for probable biomarkers. The objective was to establish the lipid profile of patients with locally advanced, unresectable or metastatic colorectal cancer. Peripheral blood was collected from patients with colorectal cancer and patients with normal colonoscopy. After lipid extraction, the samples were processed and analyzed in the MALDI TOF / TOF equipment. From the data matrix, the statistical analyzes were performed by the principal component analysis methods and the least squares discriminant analysis. The importance of the variable in the projection was used to identify the ions that had the greatest discriminatory effect between the groups. Eight lipids were identified as potential biomarkers and a multiple logistic regression model was proposed to calculate the performance of the test where we observed values of AUC 0.87, sensitivity 88.33% and specificity 83.78% and for a validation test with 1000 permutations a p <0.001. The classes of lipids found were sphingolipids, glycerophospholipids and policetidia. The strength of the association between the peak intensities of these lipids and the presence of colorectal cancer make these metabolites candidates for possible biomarkers. We found that sphingolipid (m / z = 742.98869) could be a biomarker in monitoring patients with CRC. In the survival analysis, three lipids showed a prognostic value for colorectal cancer, sphingolipid (m / z = 857,11525) and policetidios (m / z = 876,20796) and glycerophospholipid (m / z = 1031.54773).Resumo Nos últimos 10 anos a incidência do câncer colorretal (CCR) vem aumentando em países em desenvolvimento. A procura por biomarcadores que diminuam as necessidades de exames invasivos para o diagnóstico de câncer colorretal e o acompanhamento de pacientes tratados avançou com o uso de tecnologias analíticas. A espectrometria de massas (MS) permitiu a busca de metabólitos lipídicos como candidatos a prováveis biomarcadores. O objetivo foi estabelecer o perfil lipídico de pacientes com câncer colorretal localmente avançado, irressecável ou metastático. Foram coletados sangue periférico de pacientes com câncer colorretal e com colonoscopia normal. Após a extração dos lipídios as amostras foram processadas e analisadas no equipamento MALDI TOF/TOF. A partir da matriz de dados foram realizadas as análises estatísticas pelos métodos de análise de componentes principais e análise discriminante pelos quadrados mínimos. A importância da variável na projeção foi utilizada para identificar os íons que tiveram maior efeito discriminatório entre os grupos. Oito lipídios foram identificados como potenciais biomarcadores e um modelo de regressão logística múltipla foi proposta para calcular o desempenho do teste onde observamos valores de AUC 0,87, sensibilidade 88,33% e especificidade 83,78% e para um teste de validação com 1000 permutações um p<0,001. As classes de lipídios encontradas foram esfingolipídios, glicerofosfolipídios e policetídeos. A força da associação entre as intensidades de pico destes lipídios e a presença de câncer colorretal tornam estes metabólitos candidatos a possíveis biomarcadores. Verificamos que o esfingolipídio (m/z = 742,98869) poderia ser um biomarcador na monitorização de doentes com CCR. Na análise de sobrevida três lipídios mostraram ter valor prognóstico para o câncer colorretal, o esfingolipídio (m/z = 857,11525) o policetídeos (m/z = 876,20796) e o glicerofosfolipídios (m/z = 1031,54773).Dados abertos - Sucupira - Teses e dissertações (2017)Universidade Federal de São Paulo (UNIFESP)Forones, Nora Manoukian [UNIFESP]http://lattes.cnpq.br/7314943504526739http://lattes.cnpq.br/5873178563768279Universidade Federal de São Paulo (UNIFESP)Figueiredo, Adiel Goes de [UNIFESP]2019-06-19T14:57:24Z2019-06-19T14:57:24Z2017-07-31info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion71 f.application/pdfhttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5263782http://repositorio.unifesp.br/handle/11600/50090porSão Pauloinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2024-08-10T11:00:08Zoai:repositorio.unifesp.br/:11600/50090Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-08-10T11:00:08Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false |
dc.title.none.fl_str_mv |
Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados Analysis of the lipid profile in patients with colorectal cancer in advanced stages |
title |
Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados |
spellingShingle |
Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados Figueiredo, Adiel Goes de [UNIFESP] Lipidoma Colorectal cancer Lipids Tumor biomarkers Lipidoma Cancer colorretal Lipidios Biomarcadores tumorais |
title_short |
Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados |
title_full |
Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados |
title_fullStr |
Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados |
title_full_unstemmed |
Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados |
title_sort |
Análise do perfil lipidômico em pacientes com câncer colorretal em estádios avançados |
author |
Figueiredo, Adiel Goes de [UNIFESP] |
author_facet |
Figueiredo, Adiel Goes de [UNIFESP] |
author_role |
author |
dc.contributor.none.fl_str_mv |
Forones, Nora Manoukian [UNIFESP] http://lattes.cnpq.br/7314943504526739 http://lattes.cnpq.br/5873178563768279 Universidade Federal de São Paulo (UNIFESP) |
dc.contributor.author.fl_str_mv |
Figueiredo, Adiel Goes de [UNIFESP] |
dc.subject.por.fl_str_mv |
Lipidoma Colorectal cancer Lipids Tumor biomarkers Lipidoma Cancer colorretal Lipidios Biomarcadores tumorais |
topic |
Lipidoma Colorectal cancer Lipids Tumor biomarkers Lipidoma Cancer colorretal Lipidios Biomarcadores tumorais |
description |
Abstract In the last 10 years the incidence of colorectal cancer (CRC) has been increasing in developing countries. The search for molecular markers that reduce the need for invasive examinations for the diagnosis of colorectal cancer and the follow-up of treated patients advanced with the use of analytical technologies such as mass spectrometry (MS), which allowed the search for lipid metabolites as Candidates for probable biomarkers. The objective was to establish the lipid profile of patients with locally advanced, unresectable or metastatic colorectal cancer. Peripheral blood was collected from patients with colorectal cancer and patients with normal colonoscopy. After lipid extraction, the samples were processed and analyzed in the MALDI TOF / TOF equipment. From the data matrix, the statistical analyzes were performed by the principal component analysis methods and the least squares discriminant analysis. The importance of the variable in the projection was used to identify the ions that had the greatest discriminatory effect between the groups. Eight lipids were identified as potential biomarkers and a multiple logistic regression model was proposed to calculate the performance of the test where we observed values of AUC 0.87, sensitivity 88.33% and specificity 83.78% and for a validation test with 1000 permutations a p <0.001. The classes of lipids found were sphingolipids, glycerophospholipids and policetidia. The strength of the association between the peak intensities of these lipids and the presence of colorectal cancer make these metabolites candidates for possible biomarkers. We found that sphingolipid (m / z = 742.98869) could be a biomarker in monitoring patients with CRC. In the survival analysis, three lipids showed a prognostic value for colorectal cancer, sphingolipid (m / z = 857,11525) and policetidios (m / z = 876,20796) and glycerophospholipid (m / z = 1031.54773). |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-31 2019-06-19T14:57:24Z 2019-06-19T14:57:24Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5263782 http://repositorio.unifesp.br/handle/11600/50090 |
url |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5263782 http://repositorio.unifesp.br/handle/11600/50090 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
71 f. application/pdf |
dc.coverage.none.fl_str_mv |
São Paulo |
dc.publisher.none.fl_str_mv |
Universidade Federal de São Paulo (UNIFESP) |
publisher.none.fl_str_mv |
Universidade Federal de São Paulo (UNIFESP) |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UNIFESP instname:Universidade Federal de São Paulo (UNIFESP) instacron:UNIFESP |
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Universidade Federal de São Paulo (UNIFESP) |
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UNIFESP |
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UNIFESP |
reponame_str |
Repositório Institucional da UNIFESP |
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Repositório Institucional da UNIFESP |
repository.name.fl_str_mv |
Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
repository.mail.fl_str_mv |
biblioteca.csp@unifesp.br |
_version_ |
1814268453151834112 |