MassIVE MSV000082883

Imported Reanalysis Dataset Public PXD005144

Chronic pancreatitis vs pancreatic cancer LC-MS

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Description

Age-standardized incidence rates for pancreatic cancer (PC) in men have increased by 25% from 1957 to 2011 in Finland. The average age of diagnosis for PC is 69 years in Nordic males, whereas the average age of diagnosis of chronic pancreatitis (CP) is 40-50 years, but the cases overlap in age. By radiology the evaluation of a pancreatic mass, i.e. the differential diagnosis between CP and PC is often difficult. Preoperative needle biopsies are difficult to obtain and are demanding to interpret. New blood based biomarkers are needed. The accuracy of the only established biomarker for PC, CA 19-9 is rather poor in differentiating between benign and malignant mass of the pancreas. In this study, we have performed mass spectrometry HDMSE analysis of serum samples from patients with chronic pancreatitis and pancreatic cancer. We have quantified 652 proteins and performed detailed statistical analysis such as principal component analysis, orthogonal partial least square discriminant analysis and receiver operating curve analysis. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Chronic pancreatitis ; pancreatic cancer ; pancreatic ductal adenocarcinoma ; label-free qunatification ; LC-MS ; Multivariate data analysis

Contact

Principal Investigators:
(in alphabetical order) 		Risto Renkonen, Transplantation Laboratory, Haartman Institute, University of Helsinki, Finland, N/A
Submitting User: ccms

Publications

Saraswat M, Joenväärä S, Seppänen H, Mustonen H, Haglund C, Renkonen R.
Comparative proteomic profiling of the serum differentiates pancreatic cancer from chronic pancreatitis.
Cancer Med. 2017 Jul;6(7):1738-1751. Epub 2017 Jun 1.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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