title: Multianalyte profiling of serum cytokines for detection of pancreatic cancer.
abstract: Early detection of pancreatic cancer might improve clinical outcome. Significant alterations in the levels of individual serum cytokines have been reported in pancreatic cancer. We hypothesized that a multicytokine panel could serve as biomarkers for pancreatic cancer. To evaluate the diagnostic utility of such a panel, we have utilized a novel multianalyte LabMAP profiling technology that allows simultaneous measurement of multiple markers. In this study, a panel of 31 serological markers including cytokines, chemokines, growth and angiogenic factors in combination with CA 19-9 was analyzed in sera of pancreatic cancer patients, patients with chronic pancreatitis, and matched control healthy subjects. Statistical analysis identified a multicytokine panel that was able to distinguish pancreatic cancer from healthy controls with a sensitivity of 85.7% and specificity of 92.3%, which was superior to performance of CA 19-9 alone. Importantly, a multicytokine panel allowed the discrimination of pancreatic cancer from chronic pancreatitis with high sensitivity of 98% and specificity of 96.4%. In conclusion, we demonstrated that analysis of multiple serum cytokines using a novel LabMAP technology is a promising approach for development of a diagnostic assay for pancreatic cancer.
authors.affiliation: Division of Surgical Oncology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: H J
authors.initials: HJ
authors.lastname: Zeh
authors.forename: S
authors.initials: S
authors.lastname: Winikoff
authors.forename: D P
authors.initials: DP
authors.lastname: Landsittel
authors.forename: E
authors.initials: E
authors.lastname: Gorelik
authors.forename: A M
authors.initials: AM
authors.lastname: Marrangoni
authors.forename: L
authors.initials: L
authors.lastname: Velikokhatnaya
authors.forename: M T
authors.initials: MT
authors.lastname: Winans
authors.forename: K
authors.initials: K
authors.lastname: Lee
authors.forename: A
authors.initials: A
authors.lastname: Moser
authors.forename: D
authors.initials: D
authors.lastname: Bartlett
authors.forename: M T
authors.initials: MT
authors.lastname: Lotze
authors.forename: J M
authors.initials: JM
authors.lastname: Siegfried
authors.forename: D
authors.initials: D
authors.lastname: Whitcomb
authors.forename: G
authors.initials: G
authors.lastname: Papacristou
authors.forename: A
authors.initials: A
authors.lastname: Slivka
authors.forename: W L
authors.initials: WL
authors.lastname: Bigbee
authors.forename: A E
authors.initials: AE
authors.lastname: Lokshin
mesh_terms: D014408:Biomarkers, Tumor / Q000097:blood*; D018395:CA-19-9 Antigen / Q000097:blood; D016022:Case-Control Studies; D035061:Control Groups; D016207:Cytokines / Q000097:blood*; D003627:Data Interpretation, Statistical; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008297:Male; D010190:Pancreatic Neoplasms / Q000097:blood / Q000175:diagnosis*; D050500:Pancreatitis, Chronic / Q000097:blood / Q000175:diagnosis; D040081:Protein Array Analysis / Q000379:methods*; D012680:Sensitivity and Specificity
chemical_list: D014408:Biomarkers, Tumor; D018395:CA-19-9 Antigen; D016207:Cytokines