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...

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Published inNature communications Vol. 13; no. 1; pp. 124 - 16
Main Authors 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
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 10.01.2022
Nature Publishing Group
Nature Portfolio
Subjects
140/58
49
631/67/1504/1713
631/67/1857
639/638/11/296
639/638/11/872
692/53/2421
Biomarkers
Biomarkers, Tumor - blood
Biomarkers, Tumor - genetics
Blood
Body fluids
CA-19-9 Antigen - blood
Cancer
Cancer screening
Case-Control Studies
Ceramides - blood
Data analysis
Female
Humanities and Social Sciences
Humans
Lipid metabolism
Lipid Metabolism - genetics
Lipidomics - methods
Lipids
Lysophosphatidylcholines - blood
Male
Medical prognosis
Medical screening
multidisciplinary
Multivariate Analysis
Pancreatic cancer
Pancreatic Neoplasms
Pancreatic Neoplasms - blood
Pancreatic Neoplasms - diagnosis
Pancreatic Neoplasms - mortality
Pancreatic Neoplasms - pathology
Prognosis
Proportional Hazards Models
Science
Science (multidisciplinary)
Sensitivity and Specificity
Serum lipids
Spectrometry
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Sphingomyelins - blood
Statistical analysis
Statistical methods
Tumor cells
Tumors
Online AccessGet full text

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Abstract 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. Patients with pancreatic cancer have a poor prognosis, more research is required to identify the disease at an earlier stage. Here, the authors use lipid profiles of blood samples and show that they can distinguish patients with pancreatic cancer from healthy controls.
AbstractList 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.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.
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. Patients with pancreatic cancer have a poor prognosis, more research is required to identify the disease at an earlier stage. Here, the authors use lipid profiles of blood samples and show that they can distinguish patients with pancreatic cancer from healthy controls.
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.
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.Patients with pancreatic cancer have a poor prognosis, more research is required to identify the disease at an earlier stage. Here, the authors use lipid profiles of blood samples and show that they can distinguish patients with pancreatic cancer from healthy controls.
Patients with pancreatic cancer have a poor prognosis, more research is required to identify the disease at an earlier stage. Here, the authors use lipid profiles of blood samples and show that they can distinguish patients with pancreatic cancer from healthy controls.
ArticleNumber 124
Author Peterka, Ondřej
Melichar, Bohuslav
Wolrab, Denise
Škrha, Pavel
Hrnčiarová, Tereza
Kuchař, Ladislav
Mei, Ding
Kučera, Radek
Vivo-Truyols, Gabriel
Wenk, Markus R.
Liebisch, Gerhard
Höring, Marcus
Cazenave-Gassiot, Amaury
Hrstka, Roman
Chocholoušková, Michaela
Škrha, Jan
Holčapek, Michal
Friedecký, David
Jirásko, Robert
Cífková, Eva
Idkowiak, Jakub
Burkhardt, Ralph
Karásek, Petr
Greplová, Kristína
Brumarová, Radana
Ahrends, Robert
Novotný, Ivo
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/35013261$$D View this record in MEDLINE/PubMed
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Snippet 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...
Patients with pancreatic cancer have a poor prognosis, more research is required to identify the disease at an earlier stage. Here, the authors use lipid...
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StartPage 124
SubjectTerms 140/58
49
631/67/1504/1713
631/67/1857
639/638/11/296
639/638/11/872
692/53/2421
Biomarkers
Biomarkers, Tumor - blood
Biomarkers, Tumor - genetics
Blood
Body fluids
CA-19-9 Antigen - blood
Cancer
Cancer screening
Case-Control Studies
Ceramides - blood
Data analysis
Female
Humanities and Social Sciences
Humans
Lipid metabolism
Lipid Metabolism - genetics
Lipidomics - methods
Lipids
Lysophosphatidylcholines - blood
Male
Medical prognosis
Medical screening
multidisciplinary
Multivariate Analysis
Pancreatic cancer
Pancreatic Neoplasms
Pancreatic Neoplasms - blood
Pancreatic Neoplasms - diagnosis
Pancreatic Neoplasms - mortality
Pancreatic Neoplasms - pathology
Prognosis
Proportional Hazards Models
Science
Science (multidisciplinary)
Sensitivity and Specificity
Serum lipids
Spectrometry
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Sphingomyelins - blood
Statistical analysis
Statistical methods
Tumor cells
Tumors
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Title Lipidomic profiling of human serum enables detection of pancreatic cancer
URI https://link.springer.com/article/10.1038/s41467-021-27765-9
https://www.ncbi.nlm.nih.gov/pubmed/35013261
https://www.proquest.com/docview/2619578803
https://www.proquest.com/docview/2618903123
https://pubmed.ncbi.nlm.nih.gov/PMC8748654
https://doaj.org/article/fab714422846417696ab9c2c63c8d5e0
Volume 13
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