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Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer

PURPOSE: To analyze the plasma lipid spectrum between healthy control and patients with pancreatic cancer and to select differentially expressed tumor markers for early diagnosis. METHODS: In total, 20 patents were divided into case group and healthy control group according to surgical pathology. Of...

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Autores principales: Zhou, Dehua, Mu, Di, Cheng, Ming, Dou, Yuting, Zhang, Xianwei, Feng, Zhensheng, Qiu, Guangting, Yu, Hua, Chen, Yang, Xu, Hong, Sun, Jian, Zhou, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira para o Desenvolvimento da Pesquisa em Cirurgia 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341992/
https://www.ncbi.nlm.nih.gov/pubmed/32638847
http://dx.doi.org/10.1590/s0102-865020200050000008
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author Zhou, Dehua
Mu, Di
Cheng, Ming
Dou, Yuting
Zhang, Xianwei
Feng, Zhensheng
Qiu, Guangting
Yu, Hua
Chen, Yang
Xu, Hong
Sun, Jian
Zhou, Ling
author_facet Zhou, Dehua
Mu, Di
Cheng, Ming
Dou, Yuting
Zhang, Xianwei
Feng, Zhensheng
Qiu, Guangting
Yu, Hua
Chen, Yang
Xu, Hong
Sun, Jian
Zhou, Ling
author_sort Zhou, Dehua
collection PubMed
description PURPOSE: To analyze the plasma lipid spectrum between healthy control and patients with pancreatic cancer and to select differentially expressed tumor markers for early diagnosis. METHODS: In total, 20 patents were divided into case group and healthy control group according to surgical pathology. Of almost 1206 plasma lipid molecules harvested from 20 patients were measured by HILIC using the normal phase LC/MS. Heat map presented the relative levels of metabolites and lipids in the healthy control group and patients with pancreatic cancer. The PCA model was constructed to find out the difference in lipid metabolites. The principal components were drawn in a score plot and any clustering tendency could be observed. PLS-DA were performed to distinguish the healthy control group and pancreatic cancer according to the identified lipid profiling datasets. The volcano plot was used to visualize all variables with VIP>1 and presented the important variables with P<0.01 and |FC|>2. RESULTS: The upregulated lipid metabolites in patients with pancreatic cancer contained 9 lipids; however, the downregulated lipid metabolites contained 79 lipids. CONCLUSION: There were lipid metabolomic differences in patients with pancreatic cancer, which could serve as potential tumor markers for pancreatic cancer.
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spelling pubmed-73419922020-07-15 Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer Zhou, Dehua Mu, Di Cheng, Ming Dou, Yuting Zhang, Xianwei Feng, Zhensheng Qiu, Guangting Yu, Hua Chen, Yang Xu, Hong Sun, Jian Zhou, Ling Acta Cir Bras Clinical Investigation PURPOSE: To analyze the plasma lipid spectrum between healthy control and patients with pancreatic cancer and to select differentially expressed tumor markers for early diagnosis. METHODS: In total, 20 patents were divided into case group and healthy control group according to surgical pathology. Of almost 1206 plasma lipid molecules harvested from 20 patients were measured by HILIC using the normal phase LC/MS. Heat map presented the relative levels of metabolites and lipids in the healthy control group and patients with pancreatic cancer. The PCA model was constructed to find out the difference in lipid metabolites. The principal components were drawn in a score plot and any clustering tendency could be observed. PLS-DA were performed to distinguish the healthy control group and pancreatic cancer according to the identified lipid profiling datasets. The volcano plot was used to visualize all variables with VIP>1 and presented the important variables with P<0.01 and |FC|>2. RESULTS: The upregulated lipid metabolites in patients with pancreatic cancer contained 9 lipids; however, the downregulated lipid metabolites contained 79 lipids. CONCLUSION: There were lipid metabolomic differences in patients with pancreatic cancer, which could serve as potential tumor markers for pancreatic cancer. Sociedade Brasileira para o Desenvolvimento da Pesquisa em Cirurgia 2020-07-06 /pmc/articles/PMC7341992/ /pubmed/32638847 http://dx.doi.org/10.1590/s0102-865020200050000008 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Investigation
Zhou, Dehua
Mu, Di
Cheng, Ming
Dou, Yuting
Zhang, Xianwei
Feng, Zhensheng
Qiu, Guangting
Yu, Hua
Chen, Yang
Xu, Hong
Sun, Jian
Zhou, Ling
Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer
title Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer
title_full Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer
title_fullStr Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer
title_full_unstemmed Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer
title_short Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer
title_sort differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer
topic Clinical Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341992/
https://www.ncbi.nlm.nih.gov/pubmed/32638847
http://dx.doi.org/10.1590/s0102-865020200050000008
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