Pancreatic Neuroendocrine tumors are challenging to diagnose and often detected at advanced stages due to lack of specific and sensitive biomarkers. This study utilized proteomics as a valuable approach for cancer biomarker discovery, therefore, mass spectrometry-based proteomic profiling was conducted on plasma samples from 12 subjects (3 controls; 9 PanNET patients) to identify potential proteins capable of effectively distinguish PanNET from healthy controls. 13.2% of proteins were uniquely identified in PanNET, while 60% were commonly expressed in PanNET and controls. 17 proteins exhibiting significant differential expression between PanNET and controls were identified with downstream analysis.