STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de gastroenterologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-28032019000400399 |
Resumo: | ABSTRACT BACKGROUND: Colorectal cancer (CRC) is one of the leading causes of cancer worldwide. Early diagnostic methods using serum biomarkers are required. The study of omics, most recently lipidomics, has the purpose of analyzing lipids for a better understanding of human lipidoma. The evolution of mass spectrometry methods, such as MALDI-MS technology, has 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 lipid profile of patients with colorectal cancer and polyps. METHODS: Patients with stage I-III CRC, adenomatous polyps and individuals with normal colonoscopy were selected. All patients underwent peripheral blood collection for lipid extraction. The samples were analyzed by MALDI-MS technique for lipid identification. STATISTICAL ANALYSIS: Univariate and multivariate (principal component analysis [PCA] and discriminant analysis by partial least squares [PLS-DA]) analyses workflows were applied to the dataset, using MetaboAnalyst 3.0 software. The ions were identified according to the class of lipids using the online database Lipid Maps (http://www.lipidmaps.org). RESULTS: We included 88 individuals, 40 with CRC, 12 with polyps and 32 controls. Boxplot analysis showed eight VIP ions in the three groups. Differences were observed between the cancer and control groups, as well as between cancer and polyp, but not between polyps and control. The polyketide (810.1) was the lipid represented in cancer and overrepresented in polyp and control. Among the patients with CRC we observed differences between lipids with lymph node invasion (N1-2) compared to those without lymph node invasion (N). CONCLUSION: Possible lipid biomarkers were identified among cancer patients compared to control and polyp groups. The polyketide lipid (810.1) was the best biomarker to differentiate the cancer group from control and polyp. We found no difference between the biomarkers in the polyp group in relation to the control. |
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STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCERColorectal neoplasmsBiomarkersMass spectrometryLipid metabolismABSTRACT BACKGROUND: Colorectal cancer (CRC) is one of the leading causes of cancer worldwide. Early diagnostic methods using serum biomarkers are required. The study of omics, most recently lipidomics, has the purpose of analyzing lipids for a better understanding of human lipidoma. The evolution of mass spectrometry methods, such as MALDI-MS technology, has 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 lipid profile of patients with colorectal cancer and polyps. METHODS: Patients with stage I-III CRC, adenomatous polyps and individuals with normal colonoscopy were selected. All patients underwent peripheral blood collection for lipid extraction. The samples were analyzed by MALDI-MS technique for lipid identification. STATISTICAL ANALYSIS: Univariate and multivariate (principal component analysis [PCA] and discriminant analysis by partial least squares [PLS-DA]) analyses workflows were applied to the dataset, using MetaboAnalyst 3.0 software. The ions were identified according to the class of lipids using the online database Lipid Maps (http://www.lipidmaps.org). RESULTS: We included 88 individuals, 40 with CRC, 12 with polyps and 32 controls. Boxplot analysis showed eight VIP ions in the three groups. Differences were observed between the cancer and control groups, as well as between cancer and polyp, but not between polyps and control. The polyketide (810.1) was the lipid represented in cancer and overrepresented in polyp and control. Among the patients with CRC we observed differences between lipids with lymph node invasion (N1-2) compared to those without lymph node invasion (N). CONCLUSION: Possible lipid biomarkers were identified among cancer patients compared to control and polyp groups. The polyketide lipid (810.1) was the best biomarker to differentiate the cancer group from control and polyp. We found no difference between the biomarkers in the polyp group in relation to the control.Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia e Outras Especialidades - IBEPEGE. 2019-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-28032019000400399Arquivos de Gastroenterologia v.56 n.4 2019reponame:Arquivos de gastroenterologia (Online)instname:Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologiainstacron:IBEPEGE10.1590/s0004-2803.201900000-80info:eu-repo/semantics/openAccessSERAFIM,Patricia Valeria PereiraFIGUEIREDO JR,Adiel Goes deFELIPE,Aledson VitorTURCO,Edson Guimaraes LoSILVA,Ismael Dale Cotrim Guerreiro daFORONES,Nora Manoukianeng2019-11-26T00:00:00Zoai:scielo:S0004-28032019000400399Revistahttp://www.scielo.br/aghttps://old.scielo.br/oai/scielo-oai.php||secretariaarqgastr@hospitaligesp.com.br1678-42190004-2803opendoar:2019-11-26T00:00Arquivos de gastroenterologia (Online) - Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologiafalse |
dc.title.none.fl_str_mv |
STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER |
title |
STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER |
spellingShingle |
STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER SERAFIM,Patricia Valeria Pereira Colorectal neoplasms Biomarkers Mass spectrometry Lipid metabolism |
title_short |
STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER |
title_full |
STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER |
title_fullStr |
STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER |
title_full_unstemmed |
STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER |
title_sort |
STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER |
author |
SERAFIM,Patricia Valeria Pereira |
author_facet |
SERAFIM,Patricia Valeria Pereira FIGUEIREDO JR,Adiel Goes de FELIPE,Aledson Vitor TURCO,Edson Guimaraes Lo SILVA,Ismael Dale Cotrim Guerreiro da FORONES,Nora Manoukian |
author_role |
author |
author2 |
FIGUEIREDO JR,Adiel Goes de FELIPE,Aledson Vitor TURCO,Edson Guimaraes Lo SILVA,Ismael Dale Cotrim Guerreiro da FORONES,Nora Manoukian |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
SERAFIM,Patricia Valeria Pereira FIGUEIREDO JR,Adiel Goes de FELIPE,Aledson Vitor TURCO,Edson Guimaraes Lo SILVA,Ismael Dale Cotrim Guerreiro da FORONES,Nora Manoukian |
dc.subject.por.fl_str_mv |
Colorectal neoplasms Biomarkers Mass spectrometry Lipid metabolism |
topic |
Colorectal neoplasms Biomarkers Mass spectrometry Lipid metabolism |
description |
ABSTRACT BACKGROUND: Colorectal cancer (CRC) is one of the leading causes of cancer worldwide. Early diagnostic methods using serum biomarkers are required. The study of omics, most recently lipidomics, has the purpose of analyzing lipids for a better understanding of human lipidoma. The evolution of mass spectrometry methods, such as MALDI-MS technology, has 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 lipid profile of patients with colorectal cancer and polyps. METHODS: Patients with stage I-III CRC, adenomatous polyps and individuals with normal colonoscopy were selected. All patients underwent peripheral blood collection for lipid extraction. The samples were analyzed by MALDI-MS technique for lipid identification. STATISTICAL ANALYSIS: Univariate and multivariate (principal component analysis [PCA] and discriminant analysis by partial least squares [PLS-DA]) analyses workflows were applied to the dataset, using MetaboAnalyst 3.0 software. The ions were identified according to the class of lipids using the online database Lipid Maps (http://www.lipidmaps.org). RESULTS: We included 88 individuals, 40 with CRC, 12 with polyps and 32 controls. Boxplot analysis showed eight VIP ions in the three groups. Differences were observed between the cancer and control groups, as well as between cancer and polyp, but not between polyps and control. The polyketide (810.1) was the lipid represented in cancer and overrepresented in polyp and control. Among the patients with CRC we observed differences between lipids with lymph node invasion (N1-2) compared to those without lymph node invasion (N). CONCLUSION: Possible lipid biomarkers were identified among cancer patients compared to control and polyp groups. The polyketide lipid (810.1) was the best biomarker to differentiate the cancer group from control and polyp. We found no difference between the biomarkers in the polyp group in relation to the control. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-28032019000400399 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-28032019000400399 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s0004-2803.201900000-80 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia e Outras Especialidades - IBEPEGE. |
publisher.none.fl_str_mv |
Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia e Outras Especialidades - IBEPEGE. |
dc.source.none.fl_str_mv |
Arquivos de Gastroenterologia v.56 n.4 2019 reponame:Arquivos de gastroenterologia (Online) instname:Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia instacron:IBEPEGE |
instname_str |
Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia |
instacron_str |
IBEPEGE |
institution |
IBEPEGE |
reponame_str |
Arquivos de gastroenterologia (Online) |
collection |
Arquivos de gastroenterologia (Online) |
repository.name.fl_str_mv |
Arquivos de gastroenterologia (Online) - Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia |
repository.mail.fl_str_mv |
||secretariaarqgastr@hospitaligesp.com.br |
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1754193349541101568 |