Xiuhong Li, Yubo Xu
Role of Human-Computer Interaction Healthcare System in the Teaching of Physiology and Medicine
Computational intelligence and neuroscience
pancreatic cancer poor prognosis biomarkers may help predict diagnose pancreatic cancer may lead earlier diagnosis improved survival prospective china kadoorie biobank ckb recruited 512 891 adults aged 3079 years 200408 recording 702 incident cases pancreatic cancer 9 years followup conducted casesubcohort study measuring 92 proteins 610 cases subcohort 623 individuals using olink immunooncology panel stored baseline plasma samples cox regression prentice pseudopartial likelihood used estimate adjusted hazard ratios hrs risk pancreatic cancer protein levels among 1233 individuals including 610 cases several chemokines interleukins growth factors membrane proteins associated risk pancreatic cancer adjusted hrs per 1 standard deviation sd 086 186 including monocyte chemotactic protein 3 mcp3ccl7 129 95 ci confidence interval 110 151 angiopoietin2 angpt2 127 110 148 interleukin18 il18 124 107 143 interleukin6 il6 121 106 138 associations proteins eg matrix metalloproteinase7 mmp7 hepatocyte growth factor hgf tumour necrosis factor receptor superfamily member 9 tnfrsf9 risk pancreatic cancer timevarying higher levels associated higher shortterm risk within first year discriminatory ability model known risk factors age age squared sex region smoking alcohol education diabetes family history cancer increased several proteins incorporated weighted cstatistic changed 085 099 p difference 45 105 although small increase discrimination 077 079 p 004 achieved longterm risk several plasma proteins associated subsequent diagnosis pancreatic cancer potential clinical utility biomarkers warrants investigation