Proteomics

Dataset Information

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Mass spectrometry-based proteomics to study gastric cancer progression: pathophysiological molecular characterization


ABSTRACT: This study employs a proteomic approach to characterize early pathological stages of GC, including chronic gastritis (CG), intestinal metaplasia and low-grade dysplasia (MI-DBG), and advanced stages such as EGC and GC. Specifically, this research seeks to (i) identify stage-specific proteomic signatures by determining differentially expressed proteins (DEPs) across lesional and non-lesional tissues at different stages of the disease progression, (ii) explore molecular pathways by analyzing disrupted biological processes to understand their role in GC progression; (iii) characterize shared and distinct protein deregulation patterns between early and advanced stages; and (iv) develop a systems biology framework to map protein interactions and identify key molecular regulators driving GC progression. These insights may contribute to a deeper understanding of GC pathogenesis and could potentially serve for early detection strategies and therapeutic interventions.

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Joaquin Fernandez-Irigoyen 

PROVIDER: PXD064323 | JPOST Repository | Tue Mar 17 00:00:00 GMT 2026

REPOSITORIES: jPOST

Dataset's files

Source:
Action DRS
E1-HUN-11MC.raw Raw
E1-HUN-11NMC.raw Raw
E1-HUN-14C.raw Raw
E1-HUN-15C.raw Raw
E1-HUN-17MC.raw Raw
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