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

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NIAID Data Ecosystem2026-05-10 收录
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https://www.omicsdi.org/dataset/jpost/PXD064323
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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.
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2026-03-17
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