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000119386 1001_ $$0P:(DE-He78)e5de81655caaea1616f2d5afe6cb3d23$$aMustafa, Shakhawan Abdulrahman$$b0$$eFirst author
000119386 245__ $$aComparison of the tumor cell secretome and patient sera for an accurate serum-based diagnosis of pancreatic ductal adenocarcinoma.
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000119386 500__ $$a2017 Feb 14;8(7):11963-11976
000119386 520__ $$aPancreatic cancer is the currently most lethal malignancy. Toward an accurate diagnosis of the disease in body liquids, we studied the protein composition of the secretomes of 16 primary and established cell lines of pancreatic ductal adenocarcinoma (PDAC). Compared to the secretome of non-tumorous cells, 112 proteins exhibited significantly different abundances. Functionally, the proteins were associated with PDAC features, such as decreased apoptosis, better cell survival and immune cell regulation. The result was compared to profiles obtained from 164 serum samples from two independent cohorts - a training and a test set - of patients with PDAC or chronic pancreatitis and healthy donors. Eight of the 112 secretome proteins exhibited similar variations in their abundance in the serum profile specific for PDAC patients, which was composed of altogether 189 proteins. The 8 markers shared by secretome and serum yielded a 95.1% accuracy of distinguishing PDAC from healthy in a Receiver Operating Characteristic curve analysis, while any number of serum-only markers produced substantially less accurate results. Utility of the identified markers was confirmed by classical enzyme linked immunosorbent assays (ELISAs). The study highlights the value of cell secretome analysis as a means of defining reliable serum biomarkers.
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000119386 7001_ $$0P:(DE-He78)16b42b5b8dc1e53f401228e8c92e049b$$aPan, Longqiang$$b1
000119386 7001_ $$0P:(DE-He78)9301b24866303e96248a699e1f76a568$$aMarzoq, Aseel$$b2
000119386 7001_ $$0P:(DE-HGF)0$$aFawaz, Malak$$b3
000119386 7001_ $$0P:(DE-He78)29bf0180b3e8aa1633d0c7b06c29ec38$$aSander, Laureen Andrea$$b4
000119386 7001_ $$aRückert, Felix$$b5
000119386 7001_ $$aSchrenk, Andrea$$b6
000119386 7001_ $$aHartl, Christina$$b7
000119386 7001_ $$aUhler, Rico$$b8
000119386 7001_ $$0P:(DE-HGF)0$$aYildirim, Adem$$b9
000119386 7001_ $$0P:(DE-He78)72d8cf00da99b760892d11c3a0a446bd$$aStrobel, Oliver$$b10$$udkfz
000119386 7001_ $$aHackert, Thilo$$b11
000119386 7001_ $$0P:(DE-He78)ee6ac6f077e7f03250a3c17e3184a9f9$$aGiese, Nathalia$$b12$$udkfz
000119386 7001_ $$aBüchler, Markus W$$b13
000119386 7001_ $$0P:(DE-He78)c684a26e52cc44716354a4d15f530b4e$$aHoheisel, Jörg$$b14
000119386 7001_ $$0P:(DE-He78)db487558e84f68cf9bf0496497be50f7$$aAlhamdani, Mohamed Saiel Saeed$$b15$$eLast author
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