posted on 2014-02-07, 00:00authored byMindy Porterfield, Peng Zhao, Haiyong Han, John Cunningham, Kazuhiro Aoki, Daniel
D. Von Hoff, Michael J. Demeure, J. Michael Pierce, Michael Tiemeyer, Lance Wells
Sensitive and specific biomarkers
for pancreatic cancer are currently
unavailable. The high mortality associated with adenocarcinoma of
the pancreatic epithelium justifies the broadest possible search for
new biomarkers that can facilitate early detection or monitor treatment
efficacy. Protein glycosylation is altered in many cancers, leading
many to propose that glycoproteomic changes may provide suitable biomarkers.
In order to assess this possibility for pancreatic cancer, we have
performed an in-depth LC–MS/MS analysis of the proteome and
MSn-based characterization of the N-linked glycome of a
small set of pancreatic ductal fluid obtained from normal, pancreatitis,
intraductal papillary mucinous neoplasm (IPMN), and pancreatic adenocarcinoma
patients. Our results identify a set of seven proteins that were consistently
increased in cancer ductal fluid compared to normal (AMYP, PRSS1,
GP2-1, CCDC132, REG1A, REG1B, and REG3A) and one protein that was
consistently decreased (LIPR2). These proteins are all directly or
indirectly associated with the secretory pathway in normal pancreatic
cells. Validation of these changes in abundance by Western blotting
revealed increased REG protein glycoform diversity in cancer. Characterization
of the total N-linked glycome of normal, IPMN, and adenocarcinoma
ductal fluid clustered samples into three discrete groups based on
the prevalence of six dominant glycans. Within each group, the profiles
of less prevalent glycans were able to distinguish normal from cancer
on this small set of samples. Our results emphasize that individual
variation in protein glycosylation must be considered when assessing
the value of a glycoproteomic marker, but also indicate that glycosylation
diversity across human subjects can be reduced to simpler clusters
of individuals whose N-linked glycans share structural features.