Cargando…
Lipidomic profiling of human serum enables detection of pancreatic cancer
Pancreatic cancer has the worst prognosis among all cancers. Cancer screening of body fluids may improve the survival time prognosis of patients, who are often diagnosed too late at an incurable stage. Several studies report the dysregulation of lipid metabolism in tumor cells, suggesting that chang...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748654/ https://www.ncbi.nlm.nih.gov/pubmed/35013261 http://dx.doi.org/10.1038/s41467-021-27765-9 |
_version_ | 1784631050183376896 |
---|---|
author | Wolrab, Denise Jirásko, Robert Cífková, Eva Höring, Marcus Mei, Ding Chocholoušková, Michaela Peterka, Ondřej Idkowiak, Jakub Hrnčiarová, Tereza Kuchař, Ladislav Ahrends, Robert Brumarová, Radana Friedecký, David Vivo-Truyols, Gabriel Škrha, Pavel Škrha, Jan Kučera, Radek Melichar, Bohuslav Liebisch, Gerhard Burkhardt, Ralph Wenk, Markus R. Cazenave-Gassiot, Amaury Karásek, Petr Novotný, Ivo Greplová, Kristína Hrstka, Roman Holčapek, Michal |
author_facet | Wolrab, Denise Jirásko, Robert Cífková, Eva Höring, Marcus Mei, Ding Chocholoušková, Michaela Peterka, Ondřej Idkowiak, Jakub Hrnčiarová, Tereza Kuchař, Ladislav Ahrends, Robert Brumarová, Radana Friedecký, David Vivo-Truyols, Gabriel Škrha, Pavel Škrha, Jan Kučera, Radek Melichar, Bohuslav Liebisch, Gerhard Burkhardt, Ralph Wenk, Markus R. Cazenave-Gassiot, Amaury Karásek, Petr Novotný, Ivo Greplová, Kristína Hrstka, Roman Holčapek, Michal |
author_sort | Wolrab, Denise |
collection | PubMed |
description | Pancreatic cancer has the worst prognosis among all cancers. Cancer screening of body fluids may improve the survival time prognosis of patients, who are often diagnosed too late at an incurable stage. Several studies report the dysregulation of lipid metabolism in tumor cells, suggesting that changes in the blood lipidome may accompany tumor growth. Here we show that the comprehensive mass spectrometric determination of a wide range of serum lipids reveals statistically significant differences between pancreatic cancer patients and healthy controls, as visualized by multivariate data analysis. Three phases of biomarker discovery research (discovery, qualification, and verification) are applied for 830 samples in total, which shows the dysregulation of some very long chain sphingomyelins, ceramides, and (lyso)phosphatidylcholines. The sensitivity and specificity to diagnose pancreatic cancer are over 90%, which outperforms CA 19-9, especially at an early stage, and is comparable to established diagnostic imaging methods. Furthermore, selected lipid species indicate a potential as prognostic biomarkers. |
format | Online Article Text |
id | pubmed-8748654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87486542022-01-20 Lipidomic profiling of human serum enables detection of pancreatic cancer Wolrab, Denise Jirásko, Robert Cífková, Eva Höring, Marcus Mei, Ding Chocholoušková, Michaela Peterka, Ondřej Idkowiak, Jakub Hrnčiarová, Tereza Kuchař, Ladislav Ahrends, Robert Brumarová, Radana Friedecký, David Vivo-Truyols, Gabriel Škrha, Pavel Škrha, Jan Kučera, Radek Melichar, Bohuslav Liebisch, Gerhard Burkhardt, Ralph Wenk, Markus R. Cazenave-Gassiot, Amaury Karásek, Petr Novotný, Ivo Greplová, Kristína Hrstka, Roman Holčapek, Michal Nat Commun Article Pancreatic cancer has the worst prognosis among all cancers. Cancer screening of body fluids may improve the survival time prognosis of patients, who are often diagnosed too late at an incurable stage. Several studies report the dysregulation of lipid metabolism in tumor cells, suggesting that changes in the blood lipidome may accompany tumor growth. Here we show that the comprehensive mass spectrometric determination of a wide range of serum lipids reveals statistically significant differences between pancreatic cancer patients and healthy controls, as visualized by multivariate data analysis. Three phases of biomarker discovery research (discovery, qualification, and verification) are applied for 830 samples in total, which shows the dysregulation of some very long chain sphingomyelins, ceramides, and (lyso)phosphatidylcholines. The sensitivity and specificity to diagnose pancreatic cancer are over 90%, which outperforms CA 19-9, especially at an early stage, and is comparable to established diagnostic imaging methods. Furthermore, selected lipid species indicate a potential as prognostic biomarkers. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748654/ /pubmed/35013261 http://dx.doi.org/10.1038/s41467-021-27765-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wolrab, Denise Jirásko, Robert Cífková, Eva Höring, Marcus Mei, Ding Chocholoušková, Michaela Peterka, Ondřej Idkowiak, Jakub Hrnčiarová, Tereza Kuchař, Ladislav Ahrends, Robert Brumarová, Radana Friedecký, David Vivo-Truyols, Gabriel Škrha, Pavel Škrha, Jan Kučera, Radek Melichar, Bohuslav Liebisch, Gerhard Burkhardt, Ralph Wenk, Markus R. Cazenave-Gassiot, Amaury Karásek, Petr Novotný, Ivo Greplová, Kristína Hrstka, Roman Holčapek, Michal Lipidomic profiling of human serum enables detection of pancreatic cancer |
title | Lipidomic profiling of human serum enables detection of pancreatic cancer |
title_full | Lipidomic profiling of human serum enables detection of pancreatic cancer |
title_fullStr | Lipidomic profiling of human serum enables detection of pancreatic cancer |
title_full_unstemmed | Lipidomic profiling of human serum enables detection of pancreatic cancer |
title_short | Lipidomic profiling of human serum enables detection of pancreatic cancer |
title_sort | lipidomic profiling of human serum enables detection of pancreatic cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748654/ https://www.ncbi.nlm.nih.gov/pubmed/35013261 http://dx.doi.org/10.1038/s41467-021-27765-9 |
work_keys_str_mv | AT wolrabdenise lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT jiraskorobert lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT cifkovaeva lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT horingmarcus lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT meiding lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT chocholouskovamichaela lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT peterkaondrej lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT idkowiakjakub lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT hrnciarovatereza lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT kucharladislav lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT ahrendsrobert lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT brumarovaradana lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT friedeckydavid lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT vivotruyolsgabriel lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT skrhapavel lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT skrhajan lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT kuceraradek lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT melicharbohuslav lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT liebischgerhard lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT burkhardtralph lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT wenkmarkusr lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT cazenavegassiotamaury lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT karasekpetr lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT novotnyivo lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT greplovakristina lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT hrstkaroman lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer AT holcapekmichal lipidomicprofilingofhumanserumenablesdetectionofpancreaticcancer |