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.

• MeSH
• CA-19-9 Antigen blood   MeSH
• Ceramides blood   MeSH
• Humans MeSH
• Lipidomics methods   MeSH
• Lysophosphatidylcholines blood   MeSH
• Lipid Metabolism genetics   MeSH
• Multivariate Analysis MeSH
• Biomarkers, Tumor blood   genetics   MeSH
• Pancreatic Neoplasms blood   diagnosis   mortality   pathology   MeSH
• Proportional Hazards Models MeSH
• Sensitivity and Specificity MeSH
• Sphingomyelins blood   MeSH
• Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization MeSH
• Case-Control Studies MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• CA-19-9 Antigen MeSH
• Ceramides MeSH
• Lysophosphatidylcholines MeSH
• Biomarkers, Tumor MeSH
• Sphingomyelins MeSH

Prognosis of patients with pancreas cancer is very poor. The aim of the study was to test the significance of laboratory parameters in the prognosis of patients with pancreas cancer. The studied group included 57 patients (31 men, 26 women, mean age 65 ± 9 years). Blood was collected at the time of diagnosis of pancreas cancer and basic laboratory parameters, including nutritional and inflammatory markers and tumour markers were measured. Patients were followed up until death (median survival 147 days). Ferritin, iron, albumin, prealbumin, cholinesterase, haemoglobin, C-reactive protein, alkaline phosphatase and carcinoembryonic antigen were significant for patients' prognosis in univariate analysis while CA 19-9, bilirubin, liver, pancreas and kidney tests and lipids were not. Multivariate Cox regression demonstrated ferritin, iron and albumin as independent mortality predictors (RR (95%CI), per standard deviation: ferritin 1.497(1.215-2.241), p = 0.002; albumin, 0.716(0.521-0.977), p = 0.035; iron, 0.678(0.504-0.915), p = 0.010). Iron correlated significantly with albumin (r = 0.397, p = 0.002) but neither iron nor albumin correlated with ferritin. Patients who survived 100 days had significantly lower ferritin (median 239 μg/l vs. non-survivors 435 μg/l, p = 0.014), significantly higher albumin but the difference in serum iron was not quite significant. ROC analysis for ferritin revealed AUC for 100 days survival of 0.710, p = 0.007 (and 0.725, p = 0.004 for 200 days survival). AUC for albumin for 100 days survival was not significant (p = 0.073). This study points out ferritin as an independent mortality predictor in patients with pancreas cancer. High serum levels of ferritin at the time of diagnosis of pancreas cancer indicate bad prognosis of the patient.

• MeSH
• Ferritins blood   MeSH
• Humans MeSH
• Biomarkers, Tumor blood   MeSH
• Pancreatic Neoplasms blood   mortality   pathology   MeSH
• Pilot Projects MeSH
• Prognosis MeSH
• ROC Curve MeSH
• Neoplasm Staging MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Ferritins MeSH
• Biomarkers, Tumor MeSH