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; et al. (Nature communications, 2022)
Keywords: 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