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Poster presentation
P-II-0518

Urine biomarkers for diagnosis of pancreatic cancer

Termin

Datum: Di., 22.10.

Zeit: 13:00 – 13:00

Redezeit: 0 Min.

Diskussionszeit: 0 Min.

Ort / Stream:

Multiomics Approaches

Poster

Urine biomarkers for diagnosis of pancreatic cancer

Session

Multiomics Approaches

Thema

Multiomics Approaches

Mitwirkende

Anna E Lokshin (Pittsburgh, PA / US), Randal Brand (Pittsburgh, PA / US), Denise Prosser (Pittsburgh, PA / US), Liudmila Velikokhatnaya (Pittsburgh, PA / US), Lynette Smith (Pittsburgh, PA / US)

Abstract

Multiplexed bead-based immunoassay was used for development of biomarkers associated with resectable pancreatic ductal adenocarcinoma (PDAC). Seventy-eight candidate biomarkers were measured in urine samples from patients with resectable PDAC (rPDAC) (n=88) in comparison with healthy (n=46), benign pancreatic disease (n=41), and unresectable PDAC (urPDAC) (n=36). Following biomarkers were altered in rPDAC vs. non-PDAC (healthy+benign) with high statistically significance at p<0.001: bHCG, Thrombospondin-2, HGF MIF, VCAM1, LRG1, Cyfra21.1, NCAM, ICAM1, KIM1, IGFBP1, CathD, CalbD, ErbB2, Tie2, PAI1, suPAR, SCF, MCSF, IGFBP2, Fn, GDF15, AFP, HE4, PDGFAB/BB, RANTES, PEDF, CXCL10, IL-6, MMP2, EGFR. Only bHCG was statistically different between rPDAC vs urPDAC. Classification algorithm comprised of bHCG, CXCL10, PDGFAB/BB offered 90%SN for rPDAC at 50%SP for healthy+benign.