Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783555338865213440 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7341992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sociedade Brasileira para o Desenvolvimento da Pesquisa em Cirurgia |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhoudehua differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT mudi differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT chengming differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT douyuting differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT zhangxianwei differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT fengzhensheng differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT qiuguangting differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT yuhua differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT chenyang differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT xuhong differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT sunjian differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer AT zhouling differencesinlipidomicsmaybepotentialbiomarkersforearlydiagnosisofpancreaticcancer |